Main

Sensitive diagnostic tools are crucial for early disease detection, enabling more effective and less invasive treatment and improving long-term survival1. Detecting cellular senescence in patients remains challenging, despite its implication in multiple age-related diseases, including cancer2. Cells undergo senescence in response to irreparable stress or damage, whereby they stably halt their cell cycle. Senescent cells are characterized by different features, including increased levels of cyclin-dependent kinase inhibitors (for example, p16 and p21), reduced hyperphosphorylated retinoblastoma (pRb) expression and elevated lysosomal β-galactosidase activity, also known as senescence-associated β-galactosidase (SA-β-gal), which is commonly used in a colorimetric-based senescence detection assay. Senescence limits proliferation of damaged cells while promoting tissue repair via the senescence-associated secretory phenotype (SASP). SASP factors includes cytokines, chemokines and matrix remodeling proteases3,4,5. In physiological conditions, SASP factors facilitate the repair and regeneration of damaged tissue2. However, with persistent damage or aging, senescent cells can accumulate, partially due to inefficient immune clearance. This accumulation can cause chronic inflammation, tissue dysfunction and fibrosis, contributing to diseases such as cancer2,6.

In the context of cancer, senescence plays a dual role. It can serve as a cell-autonomous tumor-suppressive mechanism against oncogene-driven tumorigenesis7,8,9,10,11. However, chemotherapy and radiotherapy can often lead to therapy-induced senescence (TIS) in cancer and stromal cells, which can promote metastasis12,13,14,15, stemness16, and a tumor-promoting microenvironment17,18,19. TIS has also been suggested to suppress anti-tumor immunity after treatment20. Accordingly, senolytic therapies that selectively eliminate senescent cells have been extensively explored21,22,23,24. Multiple senolytics have been validated in preclinical models and can synergize with existing senescence-inducing cancer chemotherapies; early-phase clinical trials are also reporting promising results23,25,26. This ‘one-two punch’ combination strategy combining pro-senescence therapy (for example, chemotherapy) with senolytics has shown promise. However, its clinical translation is hampered by a lack of tools that can sensitively and accurately detect senescence in vivo27.

Recent advancements in artificial urinary nanoprobes show that enzyme- or protease-responsive reporters in urine can enable noninvasive monitoring of disease progression and therapeutic response28,29,30,31,32,33,34,35,36,37,38,39,40 by generating so-called synthetic urinary biomarkers28,29,41. Although these nanoprobes have advanced early cancer detection, they have not been leveraged to detect cellular senescence or fibrosis. Current senescence detection in patients rely on histology from biopsies or surgery, which may not represent whole tissues and is unsuitable for longitudinal monitoring7,27,42,43. Noninvasive detection could improve cancer therapy response evaluation, enable earlier relapse detection and support risk stratification and prognostication. Herein, we propose a urinary nano-scale sensing platform (nanoprobe) that exploits the activity of a specific SASP protease to identify pro-inflammatory cells associated with chemotherapy-induced senescence. SASP profiles are dynamic and vary by tissue type and senescence trigger; therefore, enabling context-specific senescence detection and characterization of senescent cells44,45. Herein, we focused our efforts on senescent cells in lung tissue, specifically in the context of lung cancer emergence and development, and pulmonary fibrosis46,47. We profiled proteases secreted by chemotherapy-induced senescent lung cancer cells and identified matrix metalloproteinase-7 (MMP-7) as a context-specific senescence biomarker for in vivo sensor design.

To monitor MMP-7 activity, we developed an albumin-linked Au nanocluster (ALBANC) nanoprobe (Extended Data Fig. 1) comprising gold nanoclusters (AuNCs) as urinary reporters, human serum albumin as a protein carrier and an MMP-7-cleavable peptide linker. The ~10 nm nanoprobe is cleaved by MMP-7, releasing <2 nm AuNCs that pass the renal filtration cutoff (5–6 nm)48. Following renal clearance, AuNCs accumulate in urine, where they can be quantified by colorimetric and/or spectroscopic assays and linked to MMP-7 activity/level associated with chemotherapy-induced senescence. Urinary AuNC-based nanoprobes have been reported for bacterial implant infection49 and colorectal cancer50 detection. However, they relied on peroxidase-mimicking signal transduction and were not designed to report TIS states. Additionally, unlike prior AuNC-Neutravidin systems that detected colorectal cancer via MMP-9 activity and employed non-covalent biotin-avidin assembly50, ALBANC is engineered to report TIS and uses a covalent albumin-linked architecture assembled via azide–DBCO click chemistry. Crucially, we demonstrate an alternative approach to conventional peroxidase assays for colorimetric detection by integrating a nanoparticle growth-based silver amplification strategy, yielding ~250-fold improved analytical sensitivity. Together, this enables a sensitive urinary readout of senescence-associated protease activity during chemotherapy, complementing histological assays and supporting longitudinal monitoring in our disease models.

MMP-7 has been implicated in multiple cancers and inflammatory conditions, and MMP-7-triggered release mechanisms for disease detection have been explored51,52,53,54. However, these systems did not enable urinary detection of in vivo MMP-7 level. Here, we use MMP-7 to specifically monitor chemotherapy-induced senescence (instead of pan-senescence). Furthermore, although prior research has investigated the use of serum proteins to delay renal clearance of nanoparticles55, our approach uses proteolytic cleavage to regulate the specific release of AuNCs, enabling protease-dependent release and renal clearance of AuNCs. Additionally, although signal amplification through Au/Ag growth has been widely used to enhance detection sensitivity in vitro56,57, we apply this technique to colorimetric in vivo detection via on absorbance readout.

In addition to the detection of senescence, ALBANC nanoprobes were used to monitor senolytic efficacy, supporting potential application for longitudinal monitoring. We also utilized ALBANC to detect pulmonary fibrosis, which is associated with elevated levels of MMP-746,47,58. Across both disease models, baseline MMP-7 was low, but ALBANC detected elevated MMP-7 activity in senescent and fibrotic states, producing visible urinary signals. These results support sensitive urinary detection of senescence-associated MMP-7 activity in TIS, and suggest that the platform could be adapted to other disease contexts characterized by elevated protease levels.

Results

Chemotherapy-induced senescent lung cancer cells increased the secretion of MMP-7 in vitro and in vivo

To identify secreted proteases as potential TIS biomarkers in lung cancer, we developed an in vitro senescence model by treating A549 cells with four clinically relevant drugs: cisplatin, pemetrexed, docetaxel and palbociclib (Fig. 1a). Senescence was validated by increased SA-β-gal and p21 levels, reduced pRb expression and arrested growth (Fig. 1b and Supplementary Fig. 1a–d). Protease array analysis of the conditioned media revealed eight proteases were increased in secretion upon senescence induction, with MMP-7 showing the highest increase compared with non-senescent (untreated) A549 cells (Fig. 1c and Extended Data Fig. 2a). We selected MMP-7 for validation due to its most abundant secretion by senescent cells and because it has not been associated with age-related senescence59. Supporting the protease array results, enzyme-linked immunosorbent assay (ELISA) confirmed increased MMP-7 secretion in conditioned media (Fig. 1d), accompanied by increased intracellular MMP-7 protein and mRNA levels (Extended Data Fig. 2d,e). Similarly, elevated MMP-7 secretion was observed in murine L1475 lung cancer cells after cisplatin-induced senescence (Supplementary Figs. 1e–i and 2b and Extended Data Fig. 2f). However, fibroblast (HPF-a cells) did not secrete detectable levels of MMP-7 in either normal or senescent states (Supplementary Fig. 1j–n and Extended Data Fig. 2b, c, g). This observation is consistent with low physiological MMP-7 expression reported previously60. MMP-7 secretion also increased over time as more A549 cells entered senescence after cisplatin treatment (Supplementary Fig. 2).

Fig. 1: Chemotherapy-induced senescent lung cancer cells abundantly secrete MMP-7 as part of their SASP.
Fig. 1: Chemotherapy-induced senescent lung cancer cells abundantly secrete MMP-7 as part of their SASP.The alternative text for this image may have been generated using AI.
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a, A549 lung adenocarcinoma cells were treated with chemotherapy drugs for 10 days. b, Senescence induction was assessed by SA-β-gal activity staining (scale bars = 100 µm). Conditioned media of these senescent cells was screened for protease biomarkers. Figure created in BioRender. Fruk, L. (2026) https://BioRender.com/afyvgy3. c, Relative level of proteases secreted by chemotherapy-induced senescent cells and untreated A549 cells (n = 3 independent biological replicates per group except for n = 4 independent biological replicates for pemetrexed group, mean ± standard deviation (s.d.), two-way analysis of variance (ANOVA) with Dunnett’s multiple comparisons). d, Concentration of MMP-7 in the conditioned media from senescent and non-senescent A549 cells (n = 8 independent biological replicates for the untreated group, n = 4 independent biological replicates for the palbociclib/docetaxel/pemetrexed group, n = 3 independent biological replicates for the cisplatin group; mean ± s.d., ordinary one-way ANOVA with Dunnett’s multiple comparisons). e, Schematic representation of experimental layout. Briefly, mice, transplanted subcutaneously with A549 cells, were subjected to pemetrexed treatment, cisplatin treatment or vehicle at the timings depicted. Peripheral blood was collected before treatment and at the endpoint (day 13). Tumors were resected at day 13 after initiation of treatment (n = 5 independent mice for the cisplatin and vehicle groups, n = 6 independent mice for the pemetrexed group). Mouse figure was created in BioRender. Fruk, L. (2026) https://BioRender.com/ruw7v3q. f, Quantification of SA-β-gal+, pRb+, p21+ and MMP-7+ cells per total cells in vehicle-treated or drug-treated specimens (mean ± s.d., ordinary one-way ANOVA with Dunnett’s multiple comparisons). g, Representative histology images of tumor specimens resected from vehicle-treated or drug-treated mice and subjected to SA-β-gal, pRb, p21 and MMP-7 staining (performed on consecutive sections). Scale bars = 50 μm and 1 mm, as depicted.

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The increase in MMP-7 expression was further validated in vivo in mice bearing flank A549 subcutaneous xenografts treated with vehicle, cisplatin or pemetrexed (Fig. 1e). Histology confirmed increased levels of senescence markers (SA-β-gal, p21) and decreased pRb in cisplatin- and pemetrexed-treated tumors (Fig. 1f,g), alongside reduced tumor growth, compared with the vehicle group (Supplementary Fig. 3). Drug-treated tumors also showed elevated MMP-7 expression, enriched in regions positive for senescence markers (Fig. 1f,g). Moreover, intratumoral p21+ levels correlated with circulating serum MMP-7 level (Extended Data Fig. 3a). When normalized to tumor volume, mice with higher senescence burden showed higher circulating MMP-7 before and after treatment (Extended Data Fig. 3b–f), whereas vehicle controls showed a slight, nonsignificant decrease. Together, these data indicate that TIS is associated with elevated tumor MMP-7 expression and increased circulating MMP-7, supporting the in vitro experimental results with conditioned media. Secreted MMP-7 levels also correlated with higher proteolytic activity relative to proliferating cells (Extended Data Fig. 4a–c). This finding was partly explained by higher MMP-7 levels and reduced levels of MMP-7 inhibitor, TIMP-1 (Extended Data Fig. 4d,e). Thus, this elevated secretion and activity supports the design of an MMP-7-responsive nanoprobe for TIS detection.

To corroborate these findings in a more physiologically relevant lung cancer model, we orthotopically transplanted the primary lung cancer KRasG12D/WT;p53−/− (KP) L1475(luc) cell line in mice. Tumor-bearing mice received vehicle or one cycle of cisplatin (Supplementary Fig. 4a). Histology revealed increased levels of the senescence markers SA-β-gal, p16 and p21 and reduced levels of Ki-67 (a proliferation marker) in cisplatin-treated tumors, whereas the senescence markers were largely absent in vehicle controls (Supplementary Fig. 4b,c). Importantly, the induction of p16 and p21 expression in the cisplatin group coincided with elevated MMP-7 staining, supporting the association between TIS and MMP-7 overexpression in vivo.

After identifying elevated MMP-7 secretion in senescent A549 cells, we asked whether this extends to other cancer types. We established TIS models in melanoma (SK-MEL-103), prostate adenocarcinoma (PC-3) and breast cancer (MDA-MB-231) cell lines. PC-3 cells were treated with docetaxel and SK-MEL-103/MDA-MB-231 with palbociclib (drugs selected for clinical relevance). As shown in Supplementary Fig. 5, all cell lines exhibited senescence after treatment. Conditioned media from senescent and control cells were profiled by protease arrays and compared with A549 profiles (Supplementary Fig. 6). MMP-7 elevation seen in senescent A549 cells was not observed in the other lines. Instead, senescent PC-3 cells increased MMP-13 secretion, SK-MEL-103 upregulated cathepsin A secretion and MDA-MB-231 increased MMP-3 secretion. These data support context-dependent SASP protease composition shaped by lineage, tissue of origin and treatment.

To further evaluate MMP-7 specificity in the context of chemotherapy-induced senescence, we performed two additional in vivo studies. First, we assessed age-associated senescence by staining lung, kidney, and heart from young (2 months) and aged (19 months) C57BL/6 mice for p16 (a marker of age-associated senescence)2 and MMP-7 (Supplementary Fig. 7). As expected, p16 staining increased with age across organs, whereas MMP-7 levels did not differ between young and aged mice. This finding suggests that MMP-7 does not broadly increase in aged tissues. Second, we also tested whether cisplatin induces MMP-7 in healthy (non-tumor) tissues by treating C57BL/6 mice with two cycles of cisplatin or vehicle (Supplementary Fig. 8). Lung histology showed increased p21 levels after cisplatin, consistent with a senescence response. However, MMP-7 levels in the lungs remained comparable between cisplatin and vehicle groups. Similar results were obtained in kidney and heart tissues, where MMP-7 expression did not significantly differ following chemotherapy. Together, these results indicate that MMP-7 upregulation is not a general feature of age-associated or damage-induced (non-tumor) tissue senescence but is preferentially elevated in chemotherapy-treated lung tumors in our models, supporting MMP-7 as a context-specific biomarker of TIS in lung cancer.

ALBANC nanoprobes enable detection of MMP-7 activity by colorimetric assays

To target the proteolytic activity of MMP-7, the ALBANC nanoprobe was assembled by click chemistry conjugating azidopeptide-functionalized AuNCs to DBCO-functionalized human serum albumin (Fig. 2a). AuNCs were synthesized in a one-pot reaction using chloroauric acid (HAuCl4), glutathione (GSH) and an MMP-7-cleavable peptide (Supplementary Fig. 9a). The peptide included an MMP-7-cleavable sequence, a C-terminal cysteine for Au binding and an N-terminal azide for albumin conjugation. The resulting AuNCs were 1.6 ± 0.3 nm in diameter with an ~3 nm hydrodynamic size, which is below the glomerular filtration cutoff ( ~ 6 nm) (Fig. 2b and Supplementary Fig. 9b,c). These AuNCs were negatively charged and showed small-molecule-like absorption and fluorescence (Supplementary Fig. 9e–g). AuNCs with varying peptide loading were prepared and characterized (Supplementary Fig. 10-12). Human serum albumin was selected as the protein carrier for its biocompatibility and prolonged circulation time. In addition, DBCO functionalization did not affect albumin structural integrity (Supplementary Figs. 13a–g and 14), and albumin was not cleaved by MMP-7 or other relevant proteases (Supplementary Fig. 13h).

Fig. 2: Preparation of ALBANC nanoprobe and its colorimetric detection assays.
Fig. 2: Preparation of ALBANC nanoprobe and its colorimetric detection assays.The alternative text for this image may have been generated using AI.
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a, Schematic illustration of the two-step synthesis of MMP-7 nanoprobe. First, AuNC bearing azide-functionalized peptides is synthesized using a one-pot protocol. Subsequently, AuNC is conjugated to DBCO-functionalized albumin via click chemistry reaction, resulting in the formation of the nanoprobe. Created in BioRender. Fruk, L. (2026) https://BioRender.com/r46tl5v. b,c, TEM image of AuNCs (b; mean diameter ± s.d., 1.6 ± 0.3 nm, n = 200 particles) and nanoprobe (c). Scale bars, 5, 10 or 50 nm. Experiment was repeated independently three times with similar results. d, Gel electrophoresis showing the assembly of nanoprobe with Coomassie stain (top) and luminol (bottom, stains for the AuNC). After conjugation, the AuNC is attached to albumin, as indicated by the presence of a single band around 70 kDa. NP, nanoprobe. Three independent experiments (three biological replicates) were performed, yielding similar results. e, Schematic illustration of two colorimetric assays for the detection of AuNC in synthetic urine: (1) peroxidase assay and (2) alloy formation assay, which involves buffer exchange of the AuNC into water via ultrafiltration. Created in BioRender. Fruk, L. (2026) https://BioRender.com/2id8x31. f, Representative UV-Vis spectra showing increase in absorbance at both 370 nm and 652 nm correlated to TMB oxidation in the presence of AuNCs. Inset shows photographs of substrate without AuNC (left) and substrate with AuNCs yielding blue color development (right). Three independent experiments were performed with similar results. g, The limit of detection (LoD) of AuNC in synthetic urine was measured by peroxidase assay, by plotting the initial velocity of TMB oxidation (A652 nm/s, n = 9 independent experiments, mean ± s.d., log-log fit). Peroxidase activity of AuNC is linear over 100 to 10,000 nM of AuNC concentration, with a log scale regression R2 = 0.9981. The dashed line indicates the LoD, calculated as 3 s.d. (3σ) above the mean background signal. h, TEM image of formed from AuNC-Ag alloy nanoparticles upon reaction with the substrate mix (AgNO3, CTAC and ascorbic acid). Three independent experiments were performed, yielding similar results. i, Elemental map photographs of Au-Ag alloy nanoparticles showing the presence of both Au and Ag. Three independent experiments were performed, yielding similar results. j, The formed Au-Ag alloy nanoparticles produced yellow color (λ peak = 414 nm). Three independent experiments were performed with similar results. k, The LoD of AuNC in synthetic urine measured by the alloy formation assay (n = 6 independent experimental replicates, involving independently synthesized AuNC batches, mean ± standard error of the mean (s.e.m.), log-log fit). Alloy formation assay is linear over 0.4 to 1,000 nM of AuNC concentration, with a log scale regression R2 = 0.9309. The dashed line indicates the LoD.

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Successful nanoprobe assembly was verified by gel electrophoresis and dynamic light scattering (DLS), which showed an increased size after conjugation, and by transmission electron microscopy (TEM), which confirmed albumin-bound AuNCs (ALBANC nanoprobes) (Fig. 2c,d and Supplementary Fig. 15). Optimization of conjugation (Supplementary Figs. 16 and 17) yielded negatively charged ALBANC with ~1 AuNC per albumin and an ~11 nm hydrodynamic size, above the glomerular filtration limit (Supplementary Fig. 15c-e). AuNC and ALBANC nanoprobe remained stable in vitro after incubation in urine and physiological concentrations of GSH (Supplementary Fig. 18). Additionally, control nanoprobes (containing non-cleavable linker) and a fluorophore-labeled variant were also successfully prepared (Supplementary Figs. 19-20), supporting design adaptability.

The ALBANC nanoprobe functions via size-dependent biodistribution. Upon cleavage by MMP-7, the AuNC reporters are released from albumin, allowing circulation and renal excretion due to their small size. AuNCs were chosen as urinary reporters due to their biocompatibility, efficient renal clearance and peroxidase-like activity, enabling detection via simple colorimetric assays (Fig. 2f and Supplementary Fig. 21). Here, AuNCs catalyze 3,3’,5,5’-tetramethylbenzidine (TMB) oxidation into a blue oxidation product in the presence of hydrogen peroxide (H2O2), enabling a colorimetric readout as the rate of absorbance at 652 nm increase over time (A652nm/s) (Supplementary Fig. 22). In synthetic urine, the peroxidase assay yielded a limit of detection (LoD) of ~100 nM (19 pmol AuNC) with ~15 min detection without sample pretreatment (Fig. 2g).

To improve sensitivity, we developed a colorimetric assay in which AuNCs seed nanoparticle growth rather than relying on peroxidase-like activity. Inspired by Au/Ag signal amplification methods used in optical microscopy61, we developed a protocol that produces yellow-colored AuNC-Ag alloy nanoparticles (λmax = 414 nm) using ascorbic acid and CTAC, with renally excreted AuNCs acting as seeds (Fig. 2h–j and Supplementary Fig. 23). TEM and elemental mapping confirmed AuNC-Ag alloy formation with a size of 30.9 ± 7.8 nm and uniform Au/Ag distribution (Fig. 2i and Supplementary Fig. 24). We hypothesize that carboxylate groups on AuNCs play a key role in facilitating alloy formation. Consistent with Ag+ affinity for carboxylates, AuNC-Ag formation was reduced when GSH was replaced with cysteine methyl ester that lacks carboxylate groups (Supplementary Fig. 25)62.

Before the alloy formation assay, a buffer exchange step is required to transfer AuNCs from urine to deionized water. This step eliminates absorbance overlap with urine color, minimizes differences in salt content that could influence alloy formation, reduces matrix effects and improves assay consistency. Assay optimization (Supplementary Fig. 26) achieved an LoD of 0.4 nM (0.076 pmol) for AuNCs (Fig. 2k), representing a 250-fold improvement over the previous peroxidase assay. Overall, the integration of the ALBANC nanoprobe with these two assays provides a colorimetric platform for detecting cleaved AuNCs in response to MMP-7 activity.

We then evaluated nanoprobe cleavage and assay readouts using recombinant MMP-7 (Fig. 3a–c). Gel electrophoresis confirmed cleavage, with ~80% AuNC released within 2 h and ~90% by 20 h (Fig. 3b; Supplementary Fig. 27). We also assessed AuNC cleavage by MMP-7 using peroxidase and alloy assays across MMP-7 concentrations (Fig. 3c). Both assays detected MMP-7 activity at ~1 nM, comparable to fluorescence-based commercial assays. Furthermore, incubation with different proteases showed that the nanoprobe was preferentially cleaved by MMP-7, with minor cleavage by MMP-1, MMP-2 and MMP-12 (Fig. 3d). This is consistent with overlapping substrate specificities within the MMP family63,64. Importantly, the control nanoprobe (non-cleavable linker) showed no cleavage, supporting MMP-7-dependent AuNC release (Fig. 3d).

Fig. 3: ALBANC nanoprobe responds to protease activity of MMP-7 in vitro.
Fig. 3: ALBANC nanoprobe responds to protease activity of MMP-7 in vitro.The alternative text for this image may have been generated using AI.
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a, Recombinant MMP-7 detection using the nanoprobe and alloy formation assay. Upon incubation with MMP-7, the nanoprobe suspension is separated using ultracentrifugal filters to concentrate the cleaved AuNC in the filtrate for detection. Created in BioRender. Fruk, L. (2026) https://BioRender.com/nn2d1dp. b, Plot of moles of cleaved AuNC from the nanoprobe after incubation with recombinant MMP-7 for various durations (n = 3 independent experiments, mean ± s.d., nonlinear fit), as detected using alloy formation assay. c, Plot of absorbance (from the alloy formation assay) and A652nm/s (from the peroxidase assay), proportional to the cleaved AuNC from the nanoprobe after incubation with different concentrations of recombinant MMP-7 (n = 3 independent experimental replicates/independent experiments per assays, mean ± s.d., nonlinear fit). The dashed lines indicate the threshold for detection, determined to be three standard deviations higher than the average background signal. d, Plot of cleaved AuNC from the nanoprobe after incubation with various relevant enzymes (n = 3 independent experimental replicates/independent experiments, mean ± s.d., ordinary two-way ANOVA with Dunnett’s multiple comparisons). e, Schematic illustration of MMP-7 detection in the conditioned media of A549 and senescent A549 cells using ALBANC nanoprobe. Created in BioRender. Fruk, L. (2026) https://BioRender.com/lbzhy3k. f, Plot of AuNC cleaved from the nanoprobe (mole), as detected using alloy formation assay, after incubation in conditioned media from either A549 or senescent A549 cells, with and without EDTA (n = 3 biological replicates per group, mean ± s.d., ordinary one-way ANOVA with Dunnett’s multiple comparisons). g, Western blot for the expression of MMP-7 and relevant senescence markers (pRb and p21) in untreated and cisplatin-treated wild-type (WT) or MMP-7-deficient (MMP-7−/−) A549 cells. Three independent experiments (three biological replicates) were performed yielding similar results. h, Concentration of MMP-7 in the conditioned media from senescent and non-senescent WT versus MMP-7−/− A549 cells (n = 3 biological replicates per group, mean ± s.d., ordinary one-way ANOVA with Dunnett’s multiple comparisons). i, Plot of AuNC cleaved from the nanoprobe (mole), as detected using alloy formation assay, after incubation in conditioned media from either non-senescent versus cisplatin-induced senescent WT or MMP-7−/− A549 cells (n = 3 biological replicates per group, mean ± s.d., ordinary one-way ANOVA with Šidák multiple comparisons test).

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We further validated nanoprobe activation using conditioned media from senescent A549 cells (Fig. 3e,f). Ethylenediaminetetraacetic acid (EDTA; a protease inhibitor) treatment minimized cleavage and eliminated differences between senescent and nonsenescent media. To further confirm MMP-7 specificity, we generated MMP-7-deficient A549 cells (MMP-7−/− A549) and induced senescence with cisplatin (Supplementary Fig. 28). Western blot confirmed loss of MMP-7 in MMP-7−/− A549 cells, even when these MMP-7−/− A549 cells are senescent (Fig. 3g). Moreover, ELISA showed negligible MMP-7 secretion from MMP-7−/− A549 cells, whereas WT A549 cells secreted higher MMP-7 upon senescence induction, as previously shown (Fig. 3h). Accordingly, conditioned media from MMP-7−/− A549 cells did not produce senescence-dependent cleavage of the nanoprobe, whereas media from senescent WT cells did (Fig. 3i). By contrast, significant nanoprobe cleavage was detected in conditioned media from senescent WT A549 cells, consistent with their elevated MMP-7 levels. Together, these results support specific detection of MMP-7 activity in conditioned media using the nanoprobe.

To evaluate biocompatibility, cell viability assays were first performed across multiple cell lines using AuNC and ALBANC nanoprobes at concentrations up to 15 μM, with no observed reduction in cell viability (Supplementary Fig. 29a-c). For in vivo toxicity assessment, 3 nmol nanoprobes (based on AuNC content) was intravenously injected into healthy C57BL/6 mice. Over 15 days, body weight, clinical observation and histology showed no overt toxicity in major organs (Supplementary Fig. 29d). Histological analysis also revealed no signs of toxicity or necrosis in the heart, lungs, liver, spleen or kidneys after injection (Supplementary Fig. 29e). To evaluate biodistribution, fluorescence imaging was performed, showing kidney accumulation of free AuNCs at 2 h, and inductively coupled plasma mass spectrometry (ICP-MS) indicated ~60% urinary excretion by 24 h (Extended Data Fig. 5a,b,e), consistent with prior reports50,65. In contrast, ALBANC was not detected in urine 2 h after injection (Extended Data Fig. 5c,d). Instead, ALBANC accumulated in reticuloendothelial system organs like the liver and spleen. This finding important, because both assays can detect uncleaved, albumin-bound AuNC or intact ALBANC (Supplementary Fig. 30), which would otherwise interfere with urine detection. By day 15, signals were near background in major organs (Extended Data Fig. 5f,h), suggesting substantial clearance over the tested period. Additionally, pharmacokinetic analysis indicated that ALBANC exhibited a circulation half-life of approximately 50.3 min (Extended Data Fig. 5i).

The colorimetric assays semi-quantitatively detected renally cleared AuNCs in urine from healthy C57BL/6 mice. Urinary signals correlated with Au content by ICP-MS (Pearson r = 0.67 and 0.65) (Extended Data Fig. 6a–c). TEM/EDX confirmed the renally cleared AuNCs as elemental gold (Extended Data Fig. 6d–f). The nanoclusters retained their original shape and size distribution, consistent with preserved peroxidase activity and alloy-forming behavior after in vivo administration.

Platinum TIS correlates with increased MMP-7 expression in human NSCLC

After validating MMP-7 overexpression in senescence and developing an MMP-7-responsive nanoprobe, we evaluated NSCLC patient specimens after neoadjuvant platinum chemotherapy for MMP-7 expression (Fig. 4). We assessed proliferation and senescence markers in stage III lung adenocarcinoma (LUAD) tumors collected 1 month after neoadjuvant chemotherapy and compared them with treatment-naïve stage I–IV tumors. Ki-67 staining was variable in treatment-naïve tumors but reduced in those after chemotherapy (Fig. 4b,c and Supplementary Fig. 31). Compared with treatment-naïve patients, tumors from cisplatin-treated patients had significantly more cells expressing p21, mainly found at the tumor periphery and more scattered toward the tumor core, indicating a higher senescence burden. The p21 level was inversely correlated with Ki-67, consistent with senescence induction in platinum-treated group. Treatment-naïve specimens showed minimal MMP-7 staining, whereas platinum-treated tumors showed increased MMP-7 in cytoplasmic and extracellular matrix (ECM) regions (Fig. 4b,d). Furthermore, consecutive staining sections showed co-localization of high MMP-7 and p21 staining (Fig. 4b and Extended Data Fig. 7). This elevated MMP-7 expression in areas densely populated with p21+ cells supports an association between p21 positivity and MMP-7 upregulation after platinum chemotherapy.

Fig. 4: Platinum chemotherapy induces senescence in human NSCLC and is associated with elevated MMP-7 expression across histological and single-cell analyses.
Fig. 4: Platinum chemotherapy induces senescence in human NSCLC and is associated with elevated MMP-7 expression across histological and single-cell analyses.The alternative text for this image may have been generated using AI.
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a, Platinum-based chemotherapy administered before surgery (neoadjuvant) induces senescence in NSCLC patients and this correlates with increased MMP-7 expression in surrounding cells. Schematic representation of human NSCLC samples analyzed in this study. Created in BioRender. Fruk, L. (2026) https://BioRender.com/65hu5ir. b, Representative histological images of NSCLC biopsy samples from treatment-naïve patients and platinum chemotherapy, analyzed for Ki-67, p21 and MMP-7. Scale bars = 200 μm (top row) or 50 μm (bottom row). c, Quantification of Ki-67+, p21+ and MMP-7+ cells per total cells in treatment-naïve or platinum-treated specimens (n = 3 independent patients per group; biological replicates). Data points represent seven representative images quantified per patient sample (mean ± s.d., unpaired t-test, two tailed). d, Quantification of MMP-7+ cells per total cells in p21-low and p21-high areas in platinum-treated specimens. Here, n = 3 independent patients per group (biological replicates). Data are presented as mean ± s.d. Statistical significance was determined using an unpaired two-tailed t-test. High-p21 regions were defined as areas with >10% p21+ cells (relative to total cells), and low-p21 regions as areas with <10% p21+ cells. Each dot represents an independent tumor area (5 areas per patient sample for high-p21 regions; 2 areas per patient sample for low-p21 regions). e, Dot plot showing the scaled expression of CDKN1A, CDKN2A and MMP7 across all cell types from a single-cell RNA-seq dataset of naïve lung adenocarcinoma patients (control, n = 4) and lung adenocarcinoma patients treated with neoadjuvant chemotherapy (NCT) (n = 5) (Huang et al., 2024 PMID: 39729352). The color shows the average scaled expression of each gene, and the size of the dots represents the percentage of cells expressing a given gene as measured by single-cell RNA-seq. f, Color-coded uniform manifold approximation and projection (UMAP) plot showing the clustering of epithelial cells according to the sample ID (left) or according to the treatment group (right) from a single-cell RNA-seq lung adenocarcinoma dataset of naïve patients (control, n = 4) and treated with neoadjuvant chemotherapy (NCT) (n = 5) (Huang et al., 2024 PMID: 39729352)66. g, UMAP plot showing the average scaled expression of EPCAM in epithelial from a single-cell RNA-seq dataset of naïve lung adenocarcinoma patients (control, n = 4) and lung adenocarcinoma patients treated with neoadjuvant chemotherapy (NCT) (n = 5) (Huang et al., 2024 PMID: 39729352). h, Dot plot showing the scaled expression of CDKN1A, CDKN2A and MMP7 epithelial cells from a single-cell RNA-seq dataset of naïve lung adenocarcinoma patients (control, n = 4) and lung adenocarcinoma patients treated with neoadjuvant chemotherapy (NCT) (n = 5) (Huang et al., 2024 PMID: 39729352). The color shows the average scaled expression of each gene, and the size of the dots represents the percentage of cells expressing a given gene as measured by single-cell RNA-seq. i, Enrichment of senescence and drug treatment related pathways within upregulated genes (log2 fold change 31 and false discovery rate (FDR) < 0.05) between lung adenocarcinoma patients treated with neoadjuvant chemotherapy (NCT) (n = 5) and naïve lung adenocarcinoma patients (control, n = 4) (Huang et al., 2024 PMID: 39729352). The bar size represents the number of genes enriched on each pathway. The FDR value of each enrichment is located next to each bar.

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To further assess this in patient data, we reanalyzed a publicly available single cell RNA sequencing (scRNA-seq) dataset of naïve lung adenocarcinoma (LUAD) patients (Control) and LUAD patients treated with comparing treatment-naïve LUAD with neoadjuvant chemotherapy/NCT (pemetrexed/cisplatin)66. The analysis shows that CDKN1A (p21) was expressed across several cell types, whereas MMP7 and CDKN2A (p16) expression was restricted to malignant epithelial cells from LUAD tumors (Fig. 4e). Within malignant epithelial cells, re-clustering showed higher CDKN1A, CDKN2A and MMP7 expression in NCT-treated tumors (Fig. 4f,g). In agreement with our previous results, our analyses revealed that NCT induces a higher expression of CDKN1A, CDKN2A and MMP7 (Fig. 4h). Furthermore, differential expression analysis of malignant epithelial cells between NCT-treated and control LUAD showed a significant enrichment of pathways related to senescence, ECM and cytokine-to-receptor interactions and drug metabolism (Fig. 4i). Collectively, these data support an association between chemotherapy-induced senescence in human lung tumors (NSCLC and LUAD) and increased MMP-7 levels, motivating MMP-7 activity as a marker of TIS in lung cancer.

Urinary detection of chemotherapy-induced senescence in lung cancer

We evaluated ALBANC detection of TIS burden in a human lung cancer xenograft model in athymic nude mice. Mice were treated with either vehicle or cisplatin (Fig. 5a), a third group received both cisplatin and ABT-737 (a senolytic drug), and a fourth group received ABT-737 alone67,68. Treatment commenced once tumors reached an average volume of 100 mm3, and administered thrice weekly with cisplatin and ABT-737 on alternating days for 15 days. At endpoint, nanoprobes were injected intravenously (i.v.) and urine collected 2 h later. Histology showed increased SA-β-gal and p21, reduced pRb, and elevated MMP-7 in cisplatin-treated tumors (Fig. 5b,d). In contrast, the combination treatment with senolytic ABT-737 resulted in reduced levels of SA-β-gal, p21 and MMP-7, consistent with reduced senescence burden. ABT-737 treatment alone produced minimal changes versus vehicle. Consistent with these findings, cisplatin treatment (without a senolytic) led to reduced tumor growth (Fig. 5c), whereas ABT-737 alone had no significant impact on tumor growth. The combination treatment further inhibited tumor growth, consistent with prior reports that eliminating therapy-induced senescent cells can enhance anti-tumor responses67,68,69,70. Together, these data show that cisplatin induces senescence in xenografts and that ABT-737 co-treatment reduces this burden.

Fig. 5: Urinary detection of chemotherapy-induced senescence in lung cancer.
Fig. 5: Urinary detection of chemotherapy-induced senescence in lung cancer.The alternative text for this image may have been generated using AI.
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a, Schematic showing the treatment protocol for mice bearing A549 xenografts. At the endpoint, mice were administered with nanoprobes i.v. Urine was collected 2 h post-injection (p.i.) of nanoprobes, and the renally cleared AuNC was detected using colorimetric assays. Created in BioRender. Fruk, L. (2026) https://BioRender.com/8yex08h. b, Representative IHC images of tumors at the endpoint, stained for SA-β-gal, pRb, p21 and MMP-7 expression. Scale bar = 100 μm. c, Volume of tumors from cisplatin, cisplatin and ABT-737, ABT-737, or vehicle groups (n = 5 independent mice per group for vehicle, cisplatin + ABT-737, and ABT-737 groups, n = 6 independent mice for cisplatin group, mean ± s.e.m., two-way ANOVA with Dunnett’s multiple comparisons test). d, Percentage of pRb+, p21+ and MMP-7+ cells in tumors from mice treated with vehicle; cisplatin; cisplatin and ABT-737; or ABT-737 (n = 5 independent mice per group for vehicle, cisplatin + ABT-737, and ABT-737 groups, n = 6 independent mice for cisplatin group, mean ± s.e.m, ordinary one-way ANOVA with Dunnett’s multiple comparison test). e. Photograph of the alloy formation assay on urine samples from xenograft mice injected with nanoprobes. f. Absorbance values (A414 nm) from alloy formation assays of urine samples collected from xenograft mice 2 h p.i. with nanoprobes (n = 5 independent mice per group for vehicle, cisplatin + ABT-737, and ABT-737 groups, n = 6 independent mice for cisplatin group, mean ± s.e.m, ordinary one-way ANOVA with Dunnett’s multiple comparison test). g, Correlation analysis between the percentage of p21+ cells in the tumors from the xenograft mice, either cisplatin-treated or vehicle-treated group, and intensity of signals from urine samples detected using the alloy formation assay (A414 nm). Each symbol represents an individual mouse (vehicle, n = 5; Cisplatin, n = 6). Solid lines indicate linear regression fits (least-squares fit; estimated mean relationship between variables), and dashed lines denote the 95% confidence intervals of the regression line. One-tailed Pearson correlation coefficients (r) and corresponding one-tailed P values are shown. h. ROC analysis showing the diagnostic specificity and sensitivity of nanoprobes and alloy formation assay in detecting senescence between cisplatin-treated and vehicle-treated mice groups (AUC = 0.9333, 95% CI = 0.7797 – 1, P = 0.0176). The solid line represents the ROC curve, the dashed diagonal line represents the performance of a random classifier (AUC = 0.5).

Source data

At the endpoint, urine was collected and analyzed by the peroxidase assay and the alloy formation assay (after buffer-exchanged into deionized water) to quantify cleaved AuNCs. Yellow color formation with a 414-nm absorbance peak indicated AuNC-Ag alloy nanoparticle formation from renally cleared AuNCs. Cisplatin-treated mice showed ~3.5-fold higher urinary signal than vehicle by direct colorimetric readout (Fig. 5e,f). In contrast, cisplatin+ABT-737 co-treatment reduced the urinary signal to near vehicle levels, consistent with reduced senescence burden. The ABT-737 only group had urinary signals similar to the vehicle group. This pattern correlated well with the senescence burden observed in tumors through histology, as urinary signals in cisplatin-treated mice showed a positive correlation with the expression of senescence marker p21+ in the tumors (Fig. 5g). Receiver-operating-characteristic (ROC) analysis yielded an area under the curve (AUC) of 0.9333 (95% confidence interval (CI) of 0.7797 - 1), indicating high sensitivity and specificity in detecting the senescence burden (Fig. 5h).

The same urine samples were analyzed by a peroxidase assay measuring the initial rate of TMB oxidation by AuNCs (A652 nm/s) present in the urine (Extended Data Fig. 8a). A similar trend was observed. Signals were highest in cisplatin-treated mice and reduced with cisplatin + ABT-737. Urinary signals also correlated positively with the percentage of p21+ cells in the tumors (Extended Data Fig. 8c). However, no visible color differences were observed (Extended Data Fig. 8b), consistent with lower peroxidase assay sensitivity than the alloy assay. ROC analysis (Extended Data Fig. 8d) yielded an AUC of 0.9333 (95% CI: 0.7787 - 1), confirming the accuracy of the peroxidase assay in distinguishing senescence burden in cisplatin-treated versus vehicle-treated mice spectroscopically.

Serum MMP-7 level was measured by ELISA in individual mice before and after treatment (Extended Data Fig. 8e). This within-mouse comparison enabled longitudinal assessment across groups. Serum MMP-7 level increased modestly in all groups but rose most in cisplatin-treated mice, yielding the highest endpoint levels (Extended Data Fig. 8f). In cisplatin-treated mice, serum MMP-7 correlated with urinary AuNC signals measured by both alloy and peroxidase assays (Extended Data Fig. 8g,h). These findings are consistent with MMP-7-mediated nanoprobe cleavage contributing to the urinary AuNC signals. Together, these data show that systemic ALBANC administration in lung xenograft-bearing mice, coupled with urinary colorimetric/spectroscopic readouts, produces AuNC signals that track senescence burden. Urinary signals also decreased after ABT-737 co-treatment, consistent with reduced senescent cell burden due to the senolytic effect.

Use of ALBANC nanoprobe for urinary detection of pulmonary fibrosis

Next, we asked whether ALBANC could detect pulmonary fibrosis, where MMP-7 levels are elevated and have been proposed as a prognostic marker71,72. Given links between senescence and fibrotic progression73 we hypothesized that fibrosis-associated MMP-7 activity could activate ALBANC. We stained lung sections from patients with idiopathic pulmonary fibrosis (IPF) for fibrosis markers (α-SMA, Masson’s trichrome), senescence markers (p21, p16, GL-13) and MMP-7 (Fig. 6). Fibrotic regions showed higher senescence markers and MMP-7 than background regions (<5% α-SMA positivity; <15% Masson’s staining) (Fig. 6b). Moreover, these fibrotic areas overlapped spatially with high senescence marker expression and MMP-7 positivity (Fig. 6a,b). These findings suggest that MMP-7 expression is closely associated with both fibrosis and cellular senescence in human lung tissue, supporting MMP-7 as a fibrosis-associated marker linked to senescence-associated regions.

Fig. 6: MMP-7 levels are elevated in the lungs of patients with IPF.
Fig. 6: MMP-7 levels are elevated in the lungs of patients with IPF.The alternative text for this image may have been generated using AI.
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a, Representative histological images of lungs of IPF patients, stained for H&E, fibrosis marker (Masson’s trichrome), senescence marker (p21) and MMP-7. Scale bar = 100 μm. Created in BioRender. Fruk, L. (2026) https://BioRender.com/whgh1jw. b, Representative histological images and staining quantification of lung biopsy samples from patients with IPF, analyzed for fibrosis markers (Masson’s and α-SMA), senescence markers (p16, p21 and GL-13), and MMP-7. Scale bars = 50 μm or 25 μm. Non-fibrotic or background lung region is defined as those with <5% α-SMA+ cells and <15% Masson’s+ total cells in the area. Fibrotic region is defined as those with >5% α-SMA+ cells and >15% Masson’s+ total. Data are presented as mean ± s.d.; two-way ANOVA with Šidák multiple comparisons and unpaired two-tailed t-test were used for statistical analysis. Here, n = 2 independent patients with IPF (biological replicates); data points represent n = 2 (for patient 1) or 3 (for patient 2) independent areas in the lungs from each patient sample.

Source data

We next tested the ALBANC nanoprobe using a bleomycin-induced fibrosis model in C57BL/6 mice (14 days treatment; intratracheal bleomycin versus untreated controls) (Fig. 7a). Lungs were collected at endpoint for histology. Micro-computed tomography (micro-CT) of mice showed structural remodeling and parenchymal thickening in bleomycin-treated lungs (Fig. 7b). Moreover, Masson’s trichrome and α-SMA staining of the collected lungs showed increased collagen and myofibroblasts (Fig. 7c,d and Extended Data Fig. 9). MMP-7 staining was elevated in collagen-rich, α-SMA+ areas, and serum MMP-7 increased in bleomycin-treated mice (Supplementary Fig. 32). Bleomycin-treated lungs also showed increased p16 and p21 staining (Fig. 7c), indicating senescence burden2,73. These p16+/p21+ regions overlapped with fibrotic lesions and high MMP-7+ staining. Quantitatively, senescence marker especially p21, fibrosis markers (collagen, α-SMA) and MMP-7 levels were also positively correlated (Supplementary Fig. 33). Together, these findings show that bleomycin-treated mice developed fibrosis accompanied by senescence induction and elevated MMP-7 expression.

Fig. 7: Urinary detection of bleomycin-induced lung fibrosis.
Fig. 7: Urinary detection of bleomycin-induced lung fibrosis.The alternative text for this image may have been generated using AI.
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a, Schematic representation of bleomycin-induced pulmonary fibrosis model. Briefly, C57BL/6 mice were either intratracheally administered with bleomycin for 7 days (incipient fibrosis) or 14 days (established fibrosis) or left untreated. At the endpoint, mice were administered with nanoprobes i.v. Urine was collected 2 h p.i. of nanoprobes, and the renally cleared AuNC was detected using alloy formation assay. Created in BioRender. Fruk, L. (2026) https://BioRender.com/6j83ai8. b, Representative CT scans of lungs from untreated- versus bleomycin-treated mice. c,d, Representative histological images (c) and staining quantification (d) of lungs at the treatment endpoint, stained for fibrosis markers (Masson’s trichrome and α-SMA), senescence markers (p21 and p16) and MMP-7, from untreated mice and mice after undergoing 14-day bleomycin treatment (n = 8 independent mice per group, mean ± s.e.m, unpaired two-tailed t-test). Scale bar = 25 μm. e, Photograph of the alloy formation assay on urine samples from untreated or bleomycin-treated mice injected with nanoprobes. f, Absorbance values (A414 nm) from alloy formation assay of urine samples collected from untreated or bleomycin-treated mice 2 h p.i. with nanoprobes (n = 8 mice per group, mean ± s.e.m, unpaired two-tailed t-test). g, ROC analysis showing the diagnostic specificity and sensitivity of nanoprobes and alloy formation assay in detecting established fibrosis between bleomycin-treated (14 days) and untreated mice group. The solid line represents the ROC curve for distinguishing untreated controls (n = 8 independent mice) from bleomycin-treated patients (n = 8 independent mice). The dashed diagonal line represents the performance of a random classifier (AUC = 0.5). The area under the curve (AUC) was 0.86 (standard error = 0.1019; 95% confidence interval 0.6597–1.000; P = 0.0157). h,i, Correlation analysis between the percentage of intensity of signals from urine samples detected using the alloy formation assay with (h) fibrosis markers, Masson’s+ area (r = 0.7485; P = 0.0327) and α-SMA+ cells (r = 0.701; P = 0.0321), and (i) senescence markers, p16 (r = 0.3910; P = 0.3382) and p21 (r = 0.7904; P = 0.0196), in the lungs of 14-day bleomycin-treated mice. For (h) and (i), solid lines indicate linear regression fits (least-squares fit; estimated mean relationship between variables), and dashed lines denote the 95% confidence intervals of the regression line; n = 8 independent mice per group, two-tailed Pearson correlation; Pearson correlation coefficients (r) and corresponding one-tailed P values are listed. j,k, Representative histological images (j) and staining quantification (k) of lungs at the treatment endpoint, stained for fibrosis markers (Masson’s trichrome and α-SMA), senescence markers (p21 and p16) and MMP-7, from untreated mice and mice after undergoing 7-day bleomycin treatment (n = 4 individual mice (untreated) and n = 5 individual mice (7-day bleomycin) (biological replicates); mean ± s.e.m, unpaired two-tailed t-test). Scale bar = 25 μm. l, Absorbance values (A414 nm) from alloy formation assay of urine samples collected from untreated or bleomycin-treated (7 days) mice 2 h p.i. with nanoprobes (mean ± s.d., n = 4 individual mice (untreated) and n = 5 individual mice (7-day bleomycin) (biological replicates), mean ± s.e.m, unpaired two-tailed t-test). m, ROC analysis showing the diagnostic specificity and sensitivity of nanoprobes and alloy formation assay in detecting incipient fibrosis between bleomycin-treated (7 days) and untreated mice groups. The solid line represents the ROC curve for distinguishing untreated controls (n = 4 independent mice) from bleomycin-treated mice (n = 5 independent mice). The dashed diagonal line represents the performance of a random classifier (AUC = 0.5). The area under the curve (AUC) was 0.90 (standard error = 0.118; 95% confidence interval 0.6809 – 1; P = 0.0432). n,o, Correlation analysis between the percentage of intensity of signals from urine samples detected using the alloy formation assay with (n) fibrosis markers, Masson’s+ area (r = −0.3905; P = 0.5158) and α-SMA+ cells (r = 0.9268; P = 0.0235), and (o) senescence markers, p16 (r = 0.5264; P = 0.3622) and p21 (r = 0.8847; P = 0.0462), in the lungs of 7-day bleomycin-treated mice. For (n) and (o), solid lines indicate linear regression fits (least-squares fit; estimated mean relationship between variables), and dashed lines denote the 95% confidence intervals of the regression line; n = 5 individual mice (7-day bleomycin); two-tailed Pearson correlation.

Source data

At the endpoint, mice received ALBANC via i.v. Urine collected 2 h later showed a 5.6-fold higher alloy assay signal in bleomycin-treated vs untreated mice (Fig. 7e,f). ROC curve analysis (Fig. 7g) confirmed high nanoprobe sensitivity and specificity, with an AUC of 0.859 (95% CI, 0.39–0.97). On the other hand, the peroxidase assay showed a 4.4-fold higher signal in bleomycin-treated mice, although changes were not visible by eye (Extended Data Fig. 10a,b). ROC analysis also demonstrated accurate disease tracking with an AUC of 0.891 (95% CI, 0.721–1) (Extended Data Fig. 10c). Urinary signals from both the alloy formation and peroxidase assays showed a positive correlation with lung fibrotic markers, senescence markers, as well as with MMP-7 levels in the lungs and serum of fibrotic mice (Fig. 7h,i and Extended Data Fig. 10d-i), consistent with MMP-7-dependent cleavage contributing to nanoprobe cleavage. In contrast, untreated mice showed low/near-background signals, underscoring the specificity of the nanoprobe to MMP-7 activity associated with fibrotic phenotypes. Together, these results support ALBANC for noninvasive fibrosis monitoring via urinary readout of MMP-7 activity.

Next, we tested whether ALBANC coupled with the alloy assay can detect early/incipient fibrotic changes and associated senescence. C57BL/6 mice received intratracheal bleomycin for 7 days to induce incipient fibrosis, with untreated controls (Fig. 7a). At day 7, micro-CT showed parenchymal thickening in bleomycin-treated mice (Fig. 7b) but less severe than the 14-day bleomycin treatment. Histology confirmed signs of incipient fibrosis, with increased collagen (Masson’s trichrome) and α-SMA+ activated myofibroblasts in bleomycin-treated lungs (Fig. 7j,k). Senescence markers p16 and p21 were also elevated in regions of fibrotic tissue remodeling, with p21 enriched in α-SMA+ areas, consistent with prior reports of p21 in early fibrosis74.

At day 7, mice received ALBANC i.v., and urine was collected 2 h later. Alloy assays showed higher urinary signals spectroscopically in bleomycin-treated vs control mice (Fig. 7l), with ROC analysis demonstrating a good diagnostic performance (AUC = 0.90, 95% CI: 0.6809-1; Fig. 7m). Urinary signals correlated with α-SMA and p21 (Pearson’s r = 0.9268 and 0.8847, respectively; Fig. 7n,o), consistent with urinary readouts reflecting early remodeling and p21-associated changes. No significant correlation was observed with Masson’s trichrome or p16. This is consistent with early fibrosis, where collagen deposition is less extensive and p21 can predominate over p16 in senescence-associated responses74. By comparison, the peroxidase assay did not distinguish the two treatment groups at day 7 (Supplementary Fig. 34). Together, these findings demonstrate that systemic ALBANC administration enables urinary AuNC readouts that spectroscopically track both early lung remodeling, as part of the fibrotic response, and established pulmonary fibrosis in mice. Furthermore, the enhanced sensitivity of the alloy assay improves the detection of early-stage fibrosis in the mouse model.

Discussion

Despite its important role in cancer, detecting senescence, particularly in vivo, remains a challenge. Recent approaches use small-molecule or nanomaterial probes that either target lysosomal SA-β-gal7 or exploit senescence-associated changes such as increased lysosomes and dysregulated endocytosis75,76. However, galactose-conjugated ON-OFF fluorescent SA-β-gal probes can have limited clinical translatability due to poor tissue light penetration and signal dispersion. In addition, SA-β-gal activity can be high in non-senescent cells (for example, macrophages and osteoclasts), limiting overall specificity77,78,79,80. Moreover, SA-β-gal elevation is shared across multiple senescence programs (oncogene, DNA damage and replicative senescence), complicating context-dependent assessment7. This limitation is particularly challenging in older individuals with heterogeneous burdens of aging-associated senescent cells, including populations with physiological roles. We previously developed NanoJAGGs, organic nanoprobes that enable in vivo photoacoustic assessment of senescence burden by leveraging increased lysosomal content and endocytosis75. However, NanoJAGGs cannot distinguish chemotherapy-induced from aging-associated senescence and lack tissue specificity.

Given these limitations, leveraging tissue- and inducer-specific SASP profiles offers a route to context-dependent senescence detection. This heterogeneity can enable detection and characterization of tissue-specific senescent cells based on secretory signatures. With a focus on lung disease, we sought SASP enzymes that could be leveraged for in vivo sensing. We first identified MMP-7 as a biomarker of chemotherapy-induced senescence in lung adenocarcinoma. We then designed a three-component nanoprobe for noninvasive in vivo detection of MMP-7 via size-dependent renal clearance. Several lines of evidence from our study support MMP-7 as preferentially associated with TIS in lung tumors compared with age-associated senescence in our models. In an orthotopic model, cisplatin increased canonical senescence markers (p16/p21), reduced proliferation (Ki-67) and coincided with increased tumor MMP-7. This validates our xenograft observations in a physiologically relevant setting. Second, in naturally aged mice, whereas p16 level increased across organs, MMP-7 level did not differ from young controls. Third, in a model of damaged-induced senescence in healthy mice exposed to cisplatin in the absence of tumors, p21 level in the lungs increased consistently with a senescence response, yet MMP-7 levels in lung, kidney, and heart were not significantly altered. Together, these data suggest MMP-7 is not broadly elevated by aging or chemotherapy alone, but is increased in chemotherapy-treated lung tumors in our models.

We probed MMP-7 specificity of the nanoprobe by ablating MMP-7 in A549 cells. In MMP-7−/− A549 cells, senescence did not increase intracellular/secreted MMP-7 and its senescent conditioned media did not cleave the nanoprobe, unlike the WT A549 counterpart. These results support that nanoprobe activation is largely driven by MMP-7 activity in these settings, rather than off-target proteases or other SASP components. An essential component of our nanoprobe is the human serum albumin protein carrier, selected for biocompatibility, cost-effectiveness, and reported prolonged circulation81. Albumin was conjugated to 1.6-nm AuNCs via an MMP-7-cleavable peptide using click chemistry. MMP-7 cleavage (of the peptide linker) releases AuNCs that are renally cleared (below the glomerular filtration cutoff). Although AuNCs possess intrinsic fluorescence, fluorescence-based readout is insufficiently sensitive in urine. Instead, we initially used AuNC peroxidase-like activity to oxidize colorless TMB substrate into a blue-colored oxidized product in the presence of H2O2. However, this approach may be affected by interfering species present in urine, which can compromise sensitivity. To enhance the detection strategy, we developed an assay based on the ability of AuNC to act as seeds for the growth of larger Au-Ag alloys with a high extinction coefficient, resulting in 250-fold improvement in detection sensitivity compared with the peroxidase assay. Alloy formation completes in ~20 min with low concentrations of affordable reagents including AgNO3, ascorbic acid, and CTAC. The size of the AuNC-Ag particles influences the optical absorption profile. Importantly, we used a standardized endpoint assay format and calibrated each batch using known AuNC concentrations. The initial AuNCs are monodisperse, and under the growth conditions the resulting alloy nanoparticles are 30.9 ± 7.8 nm in size. The alloy assay requires urine buffer exchange to reduce salt effects on growth, which can be done by routine centrifugation in a laboratory setting (in urine and blood analyses).

Biodistribution in healthy mice showed free AuNC renal excretion within 2 h, whereas uncleaved ALBANC accumulated in liver/spleen and was near background by day 15. No overt toxicity was observed over the study period, consistent with tolerability in these conditions. We then evaluated the nanoprobe in chemotherapy-induced senescence and pulmonary fibrosis mouse models. Fibrosis model was included because MMP-7 is known to be elevated in lung fibrosis. It is worth noting that the negligible urinary signals in the control groups in the two disease models (that is healthy, non-fibrotic mice and untreated xenograft mice with a low senescence burden) demonstrated the stability of the nanoprobe in vivo. That is, the nanoprobe was not significantly cleaved when MMP-7 level was relatively low.

SASP composition was lineage- and context-dependent. Senescence induction in melanoma, prostate, and breast cancer cells yielded distinct protease signatures (for example, MMP-13, cathepsin A and MMP-3) rather than uniform MMP-7 upregulation. These findings support MMP-7 as a lung cancer-associated TIS marker in our mouse models and human samples, and suggest protease-based diagnostics may need tailoring by lineage and treatment. Accordingly, ALBANC is modular and can be reconfigured to target other proteases identified (that is by changing the peptide linkage sequence) by SASP profiling or public transcriptomic data from drug-treated tumors, thereby enabling indication-specific detection of senescence. For example, our analyses of available scRNA-seq datasets from LUAD patients treated with neoadjuvant platinum-based chemotherapy revealed that elevated MMP7 expression correlates with upregulation of canonical senescence markers (for example, CDKN1A, CDKN2A), and enrichment of senescence-associated transcriptional programs. Such orthogonal readouts could inform rational design of urinary nanosensors for context-specific senescence detection.

We show that ALBANCs with the alloy assay can detect chemotherapy-induced senescence and lung fibrosis in our models. Furthermore, urinary readouts also decreased with senolytic treatment, supporting use for treatment monitoring. This finding is particularly relevant given the number of senolytic agents currently in development and clinical trials, as well as the lack of effective tools to evaluate their efficacy. ALBANC readouts could then be paired with senescence-clearance strategies to inform dosing and response assessment. Additionally, across studies, the alloy assay produced visible urinary color changes due to better sensitivity, whereas the peroxidase assay required spectroscopy. Both methods distinguished higher versus lower senescence/fibrosis, and urinary signals correlated with histological markers. Importantly, the enhanced analytical sensitivity of the alloy assay enabled detection of senescence and fibrosis at earlier stages (for example, day 7 post-bleomycin), where conventional peroxidase assays failed to discriminate treated from control groups. It also captured reduced senescence-associated signals after senolytic treatment in tumors. Together, these results are consistent with improved in vivo performance of the alloy assay, particularly at low or early disease burden. This study also underscores the potential of ALBANC nanoprobe for early detection applications.

We introduce an in vivo approach for urinary senescence detection that leverages SASP-associated protease activity. ALBANC provides a noninvasive readout of TIS-associated protease activity that may enable longitudinal monitoring during therapy. Such readouts could support treatment monitoring and may inform decisions such as additional evaluation for relapse risk or senolytic co-treatment. Because readout is urine-based and colorimetric/spectroscopic, the approach could be compatible with standard laboratory workflows. In this context, targeted senescence-clearance strategies with improved therapeutic windows could be paired with ALBANC readouts to help guide dosing and timing in combination strategies.

This study has limitations. MMP-7 was selected based on its upregulation in chemotherapy-induced senescence in lung cells, but MMP-7 can also be implicated in various cancers82,83 and non-cancerous conditions such as infections and inflammation84,85. In our mouse models, healthy mice and untreated xenografts with low senescence burden showed background MMP-7 in plasma and tissues. Despite this, it remains a valuable biomarker for senescence and fibrosis in this context, as urinary signals in non-senescent and healthy mice were significantly lower (and resulted in non-visible color change in the test) compared to the urinary signals in cisplatin-induced senescent and bleomycin-induced fibrotic mice due to the significantly higher levels of MMP-7. To further establish MMP-7 as a robust and specific biomarker of chemotherapy-induced senescence, several key areas warrant investigation. Comparisons across a broader spectrum of senescent and non-senescent pathologies will be required to define biomarker specificity. Longitudinal mapping is needed to resolve how MMP-7 levels correlate with the onset, progression, and resolution of senescence over time. In parallel, mechanistic studies could clarify the cellular sources and regulatory drivers of MMP-7 under chemotherapeutic stress, distinguishing senescence-associated expression from inflammatory or tumor-intrinsic signals. Finally, integrated cross-tissue transcriptomic and proteomic profiling of drug-treated tumors and their microenvironments will enable benchmarking of MMP-7 against other SASP-associated proteases, clarifying contexts in MMP-7 alone is sufficient and those that necessitate multiplexed detection to define a robust, context-aware senescence signature.

Looking ahead, the platform’s modular design could allow reconfiguration for simultaneous detection of multiple proteases, thereby enhancing specificity and extending applicability to diseases driven by ECM remodeling, where early and accurate diagnosis is essential for effective intervention. The alloy amplification assay improves sensitivity versus peroxidase-based urinary readouts, but currently requires buffer exchange, which may limit point-of-care use. Future work could integrate amplification into lateral-flow formats for point-of-care or low-resource settings. Additionally, long-term cytotoxicity and biocompatibility will be required to support translational deployment of the ALBANC nanoprobe across diseases characterized by elevated protease activity. Together with cross-tissue transcriptomic analyses of drug-treated tumors to benchmark MMP-7 against other SASP proteases, these efforts will help define contexts in which MMP-7 alone is sufficient and those that require multiplexed detection to establish a robust, context-aware senescence signature.

Methods

Ethics declaration

Research complies with all relevant ethical regulations. The use of human tissues was approved by ethics review committees at Royal Papworth Hospital Research Tissue Bank (RPHRTB) Project Number T02722 for patients with lung adenocarcinoma, and Project Numbers T02147 and T02259 for patients with idiopathic pulmonary fibrosis. Written informed consents were obtained from all patients.

All animal experiments were approved for ethical conduct by the Home Office England and Central Biomedical Services, performed under PPL holder numbers P7EC604EE and PP7061972 and regulated under the Animals (Scientific Procedures) Act 1986, as stated in the International Guiding Principles for Biomedical Research involving Animals.

Human biopsies

Human lung adenocarcinoma samples were obtained from the RPHRTB after review by the RPHRTB project review committee (project number T02722). Human idiopathic pulmonary fibrosis samples were obtained from the RPHRTB after review by the RPHRTB project review committee (project numbers T02147 and T02259). RPHRTB has a derogation under the UK Human Tissue Authority (HTA) to supply samples (HTA number 12212) that are surplus to therapeutic necessity and were acquired with Research Ethics Committee-approved RPHRTB permission. Patients signed the RPHRTB general consent form, approving the use of their biopsies for research purposes and sample transfer was covered by a valid Material Transfer Agreement. Written informed consent was obtained for all tissue samples using Papworth Hospital Research Tissue Bank’s ethical approval (East of England - Cambridge East Research Ethics Committee). Further clinical information on the lung adenocarcinoma and IPF patient samples is available in Supplementary Tables 1 and 2.

Cell cultures

Human pulmonary adenocarcinoma A549 (catalog no. CCL-185), MDA-MB-231 (catalog. no. HTB-26), and PC-3 (catalog no. CRL-1435) cell lines were obtained from the American Type Culture Collection (ATCC); SK-Mel-103 cell line was obtained from Sigma-Aldrich (catalog no. SCC439). These cell lines were cultured in Dulbecco’s modified Eagle’s medium (Gibco, 11965084) enriched with 10% fetal bovine serum. Human pulmonary fibroblasts-adult (HPF-a) were purchased from ScienceCell (catalog. no. 3310) and cultured in complete Fibroblast Medium (ScienceCell, 2301). Heterozygous KRasG12D/WT murine L1475 cell line, generated by C.P. Martins from KRasLSL−12D/WT; p53{−/−} (KP) mice86, was cultured in Dulbecco’s modified Eagle’s medium, enriched with 10% fetal bovine serum. All cells were cultured under a controlled environment of 37 °C and 5% CO2 concentration and regularly screened for mycoplasma contamination using the universal Mycoplasma Detection Kit (ATCC, 30-1012 K). All cell lines were tested negative for mycoplasma contamination.

Induction of cellular senescence in vitro

To generate in vitro chemotherapy-induced senescence model, dose-dependent experiments for four different drugs were performed to ascertain the optimal sub-lethal drug concentrations that would induce cell senescence with minimum cell death. A549 cells underwent treatment with 15 μM cisplatin, 100 nM docetaxel, 5 nM pemetrexed or 15 μM palbociclib for 10 days and were used for the described experimental objectives promptly after the drugs were removed. L1475 cells were subjected to treatment with 5 μM of cisplatin for 5 days. Lung fibroblast cells (HPF-a) were treated with 5 μM of cisplatin for 7 days. SK-MEL-103 were treated with 15 μM of palbociclib over a 7-day period. MDA-MB-231 cells were treated with 5 μM of palbociclib for 7 days. PC-3 were treated with 14 nM of docetaxel for 7 days.

Histology

Samples for histological examination were carefully collected, preserved, dried, and prepared for paraffin embedding and slicing. Cryo-sectioning was performed, and the resulting slides were then stored at −80°C until used for SA-β-gal staining. Meanwhile, immunohistochemistry (IHC) staining was conducted on the 5- to 7-μm paraffin sections. The tissue sections were positioned on Superfrost plus slides and allowed to dry overnight. IHC was facilitated through an automatic immunostaining platform (Autostainer Link by Dako and Bond by Leica). Antigen retrieval was the initial step and was performed using Tris-EDTA buffer at pH 9, followed by the blockage of innate peroxidase using 3% H2O2. The slides were subsequently subjected to the relevant primary antibodies. At post-primary antibody application, the slides were treated with matching secondary antibodies and necessary visualization systems (Bond Polymer Refine Detection, Bond, Leica; EnVision FLEX + , Dako), each of which was conjugated with horseradish peroxidase. The immunohistochemical reaction was enabled using 3,3′-diaminobenzidine tetrahydrochloride (Dako). The final stages involved dehydration, clarification, and application of a permanent mounting medium to prepare the slides for a microscopic study. Finally, the complete slides were scanned with an AxioScan Z1 from Zeiss, and images were captured with the Zen Blue Software from Zeiss (v2.6). Supplementary Table 3 provides a list of the antibodies used and the methods employed for antigen retrieval. All procedures were performed at the Early Cancer Institute, University of Cambridge.

Generation of conditioned media

Conditioned media (CM) from senescent and non-senescent cells were generated as follows. Senescent cells were plated at 70% to 80% confluence on a 10 cm dish, whereas non-senescent cells were plated at 40% to 50% confluence in a complete medium. The following day, the adhered cells were rinsed twice with pre-warmed PBS (10 ml) to ensure no proteases from the serum used for culturing the cells were left. Then, as much as 8 ml fresh serum-free DMEM was added to the dish and left to condition for 24 h. After this period, the CM was gathered and transferred to Falcon tubes before being centrifuged for 10 min at 102 g at 4°C. The supernatant was then carefully transferred to new Falcon tubes and underwent another centrifugation for 10 min at 1,125 g at 4°C to remove any cell debris. This conditioned medium was immediately stored at −80°C until it was used for analysis.

Human protease array and human protease inhibitors array

The CM derived from senescent and non-senescent cells were analyzed for the relative levels of secreted proteases present using the Proteome Profiler Human Protease Array Kit (R&D Systems, ARY021B) and Proteome Profiler Human Protease Inhibitor Array Kit (R&D Systems, ARY023), as per the instructions provided by the manufacturer. A total of 1,000 μl CM was combined with 500 μl of blocking buffer supplied by the kit. The membranes were imaged with a ChemiDoc imager (Bio-Rad, v6.1) at different exposure times (from 30 s to 2 min). Following the subtraction of background noise, pixel density was quantified using the Image-J Software (v1.53k). Because the number of proteins secreted by the cells depends on the number of cells, the measured levels of secreted proteases need to be adjusted by cell numbers, which was set to be between 150,000 to 200,000 cells.

A549 xenograft mice experiments

A549 cell suspension, prepared by combining Cultrex Basement Membrane Extract (Type 3, RnD Systems, 3632-010-02) in a 1:1 ratio with 3 million A549 cells, was injected subcutaneously into each flank of athymic nude mice (Crl:NU(NCr)-Foxn1nu, 10 weeks old, Charles River Laboratories). Mice were weighed twice a week and tumor volume (V) was longitudinally assessed via a caliper, using the formula: Volume = (D x d2)/2, where D represents the longest diameter of the tumor, and d indicates the shortest diameter (experiments were terminated at either pre-established time endpoints or when tumors reached an average diameter of 1.5 cm; maximal tumor size/burden was not exceeded at the established endpoints). Chemotherapy treatment started once the average tumor volume exceeded 100 mm3 (20 days after tumor injection). Immediately before the treatment started, about 100 μl blood from each mouse was collected. Five mice were treated with cisplatin (1 mg kg−1 body weight), six mice were treated with pemetrexed (100 mg kg−1 body weight) and five other mice were treated with saline as vehicle. All treatment was administered via intraperitoneal injection. Mice were treated with 6 doses of chemotherapy: thrice a week (on Monday, Wednesday and Friday) for 2 weeks. On the following day after the final treatment was administered, the mice were sacrificed at the same time. From each mouse, blood, both tumors, heart, lungs, kidney and liver were collected for analysis. Blood was collected into anticoagulating EDTA-treated tubes (Sarstedt, 16.444.100).

For nanoprobe studies, immediately before the treatment started, about 100 μl of blood from each mouse was collected. Six mice were treated with cisplatin (1 mg kg−1 body weight), five mice were co-treated with cisplatin (1 mg/kg body weight) and ABT-737 (25 mg kg−1 body weight), five mice were treated with ABT-737, and five other mice were treated with saline as vehicle. All treatment was administered via intraperitoneal injection. Mice were treated with 6 doses of chemotherapy or vehicle: three times a week (on Monday, Wednesday and Friday) for 2 weeks. Treatment with ABT- 737 was given three times a week (alternating days with cisplatin). The day after the final treatment was administered, nanoprobes (15 μM, 200 μl) were injected to mice intravenously. Urine (50–200 μl) was collected from mice 2 h after injection of the nanoprobes. The urine samples were then analyzed immediately using both peroxidase and alloy formation assay. Mice were then sacrificed, and the organs and blood were collected for analysis. Mice were then culled at the same time. From each mouse, blood, both tumors, heart, lungs, kidneys, spleen and liver were collected for analysis.

Micro-CT imaging

For micro-CT imaging, mice were anesthetized with isoflurane and scanned on a microPET-CT system (Mediso Medical) using Nucline Nanoscan software (v2.0). Imaging was performed with an X-ray energy of 35 kVp, 450 ms exposure and 720 projections acquired in a semi-circular single field-of-view mode (one projection per step). Data were reconstructed with a Butterworth filter at high resolution (small voxel size).

Bleomycin-induced pulmonary fibrosis

Female C57BL/6 mice, 11–12 weeks old (Charles River Laboratories), weighing 20 to 25 g, were used. Bleomycin sulphate (Scientific Laboratory Supplies, B8416-15UN) was dissolved in sterile 0.9% saline and given as a single dose of 0.5 U per animal (65 μl). Eight mice received intratracheally (i.t.) instillations of bleomycin on day 0 as previously described87. The control group (8 mice) did not receive any treatment. Right before the treatment started, about 100 μl blood from each mouse was collected. On day 14, following i.t. bleomycin administration, nanoprobes (15 μM, 200 μl) were injected into both treated and untreated groups intravenously. Urine (50–200 μl) was collected from mice 2 h after injection of the nanoprobes. The urine samples were then analyzed immediately using both peroxidase and alloy formation assay. Mice were then sacrificed, and the major organs and blood were collected for analysis. A similar protocol was followed for the early or incipient fibrosis experiment, with the only difference being the duration of bleomycin treatment, which was 7 days instead of 14.

Serum extraction from blood samples

Blood samples were collected into tubes with anticoagulants (EDTA- treated). By spinning the tubes in a refrigerated centrifuge (4°C) for 10 min at 2,500 g, cells and debris were separated from the serum as pellets. The serum was transferred into a new tube. An extended spin of 10 min at 16,200 g further removes platelets from the serum. The clear fluid that remains on top after centrifugation (serum) was transferred into a new microcentrifuge tube using a pipette. Samples were kept at a temperature range of 2°C to 8°C during processing. Serum samples were aliquoted and stored at −80°C until further use or analysis.

AuNC synthesis

Preparation of peptide-functionalized AuNCs was modified from a published protocol88. In general, into a fresh solution of gold (III) chloride trihydrate solution (HAuCl4, 20 mM, 400 μl) with deionized water (2,533 μl) in a 12-ml glass vial was quickly added reduced L-GSH (GSH, 15 mM, 667 μl) and peptide, azidoacetyl-KGRPLALWRSGGGC or azidoacetyl-KGGGGGGGC (5 mM, 400 μl). The mixture was left to stir at room temperature for 5 min, followed by heating at 70°C while stirring (500 rpm) for 24 h. The resulting AuNCs were purified and washed with PBS four times using centrifugal ultrafiltration (Amicon Ultra centrifugal filter units Ultra-15, 10 kDa, Sigma-Aldrich, 3,195 g, 10 min) whereby the AuNC remains in the retentate. The synthesis produced AuNCs with a 77-85% yield based on Au content. The purified AuNCs are stored in PBS with a concentration of 0.3 mM AuNC. The suspension remained stable colloidally when stored at 4°C for at least 6 months with negligible changes in optical absorbance and hydrodynamic size.

Estimation of elemental content in AuNCs

The molecular weight of the AuNCs was determined using liquid chromatography-mass spectrometry (LC-MS). The content of ligands (GSH and peptides) attached to the AuNCs was estimated by measuring the percentage of sulfur (S) and gold (Au) using ICP-MS analysis. To quantify the number of biotinylated ligands on each AuNC, the biotin concentration in the filtrate after purification was measured and subtracted from the initial concentration of the biotinylated peptide used. The amount of biotin in the filtrate was determined using the Pierce Biotin Quan titration Kit (28005), following the manufacturer’s protocol (Thermo Fisher Scientific). Because the sulfur content from ICP reflects the total amount of GSH and peptides attached, the number of GSH molecules could then be estimated.

Functionalization of human serum albumin

Human serum albumin (3.4 mg, Merck, 126658) was reconstituted in 1360 μl PBS for 15 to 20 min. As much as 60 μl of the linker DBCO-PEG(4)-NHS ester (34.4 mM in anhydrous DMSO by Apollo Scientific) was added to albumin. The solution was left to shake at 500 rpm for 2 h at room temperature. Purification of functionalized albumin was done by centrifugal ultrafiltration using Amicon Ultra centrifugal filter units (30 kDa, 3,195 g, 10 min, Sigma-Aldrich) by washing the solution with PBS four times. A final solution of 500 μl in the retentate containing DBCO-functionalized albumin was collected and stored at 4°C.

Nanoprobe synthesis

ALBANC nanoprobe was assembled via DBCO-azide click chemistry between azidopeptide-functionalized AuNC and DBCO-functionalized albumin. In a standard conjugation procedure, 93 μl DBCO-functionalized albumin (concentration 7.62 mg ml−1 or 0.10 mM in PBS) was mixed with 211 μl of AuNC (concentration 297 μM). This mixture was then incubated for 20 h at 37°C with gentle agitation (450 rpm). To separate unbound AuNCs from the AuNC–albumin complexes (ALBANC nanoprobe), centrifugal ultrafiltration was employed using Amicon Ultra centrifugal filter units (Ultra-15, 30 kDa, Sigma-Aldrich) by washing with PBS four times (3,195 g, 10 min/wash). The nanoprobe was retained in the concentrate, whereas the unbound AuNCs passed into the filtrate. Post-ultrafiltration, the concentrated nanoprobes were suspended again in PBS (with a final concentration of 120 μM by [AuNC]) and then passed through a sterile filter (Millex-GV Filter, Millipore, pore size 0.22 μm). The nanoprobe was stored in 4°C. A similar protocol was used to prepare the non-cleavable (control) nanoprobe.

Characterization

Zeta potential and DLS measurements were recorded using a Zetasizer Nano Range instrument (Malvern Analytical) with Zetasizer Software (v7.13). UV-Vis absorption spectra and fluorescence measurements were obtained with an CLARIOstar Plus plate reader (Tecan Life Sciences) with Spark Control software (v2.3), whereas Fourier-transform infrared spectroscopy (FT-IR) spectroscopy was performed using a Bruker Tensor 27 spectrometer with samples pressed into KBr pellets using a PerkinElmer Spectrum One FT-IR Spectrometer (v10). For the characterization using electron microscopy, specimens were placed onto copper grids coated with carbon (Electron Microscopy Sciences), followed by imaging with a Talos F200X G2 electron microscope (Thermo Scientific) at an operating voltage of 200 kV with Thermo Scientific Velox Software (v2.9). To prepare the samples for TEM analysis, AuNC samples were first desalted using Amicon centrifugal filter (10 kDa, Sigma-Aldrich). After desalting, 5 μl of the sample was applied to the grid and left to dry overnight before imaging. For the nanoprobe, the carbon grids were first glow discharged. Nanoprobe samples (2.5 μl) were then applied onto the grid for 60 s and then blotted off to remove excess. Then, 2% uranyl acetate stain was applied for 40 s and then blotted off to remove excess. Samples were then left to dry for 1 h. LC-MS and MALDI were performed using a Waters’ Xevo G2-S bench top QTOF with Waters Xevo G2-S QTOF system with Waters MassLynx (v4.2 SCN971). ImageJ (v1.53k) was used for image analysis, including protease array pixel density quantification and TEM image analysis.

ICP-MS analysis

AuNC samples, including urine samples from in vivo experiments, were first digested using aqua regia (Trace Metal Grade hydrochloric acid, Fisher Chemical and nitric acid, VWR) for 18 h. These samples were then diluted further into a matrix (4% hydrochloric acid and 4% nitric acid). The quantification of gold content in samples was conducted using an iCAP7400 Duo ICP spectrometer (Thermo Fisher Scientific) with Qtegra software (version 2.8.3170.392).

Peroxidase assay

The assay was optimized to maximize the absorbance produced by AuNC- catalyzed oxidation of TMB with minimum background signal from self-oxidation of TMB. In general, peroxidase assay was performed by mixing AuNC (varying concentration, 25 μl in synthetic urine), 25 μl PBS and 100 μl TMB ELISA substrate solution (Thermo Fisher Scientific, 34028) in a 96-well plate (Corning). Absorbance at 652 nm was monitored for 15 min. For LoD determination, the absorbance at 652 nm was recorded at 10-s intervals over a 15-min period. A linear regression analysis was then performed to determine the initial reaction velocity (A652 nm/s) during the initial 150 s. LoD was defined as the mean background signal plus 3 s.d.

Alloy formation assays

The assay was optimized to maximize the absorbance produced by AuNC-Ag alloy formed with minimum background signal from silver nanoparticles that could also form during the assay. AuNC samples (either in synthetic urine or mice urine) were first washed with deionized water twice by ultracentrifugation (Amicon 10 kDa cutoff, Sigma-Aldrich). Freshly prepared aqueous solutions of AgNO3 (2.5 mM, 25 μl) and CTAC (2.81 mM, 5 μl) were mixed with 60 μl AuNC samples (of varying concentrations) in a 96-well plate (Nunclon). Following this, to start the alloy formation, a freshly prepared aqueous solution of L-ascorbic acid sodium salt (1.25 mM, 100 μl) was added. The mixture was left to react for 15 min at 25°C. At the endpoint of the assay, absorbance at 414 nm was recorded. For LoD tests, AuNC was first incubated in synthetic urine for 3 h at 37°C. After washing with deionized water twice, varying concentrations of AuNC (60 μl) were mixed with 25 μl AgNO3 (2.5 mM, 25 μl) and 5 μl CTAC (2.81 mM) in a 96-well plate. To start the assay, 100 μl freshly prepared L-ascorbic acid solution (1.25 mM) was added. Absorbance at 414 nm was read after 20 min. LoD was defined as the mean background signal plus 3 s.d.

Pharmacokinetic and biodistribution studies

For pharmacokinetic studies, approximately 100 μl of blood was drawn intravenously from each female C57BL/6 mouse as a reference before injection. The mice were then intravenously injected with Alexa Fluor 750 (AF750)-labeled nanoprobes (15 μmol, 200 μl), and blood samples were taken at 30, 90, 480 and 1,440 min after injection. Nanoprobe concentrations in the blood were directly quantified using a fluorimeter. The quantification results were presented as a biexponential decay curve to estimate the blood half-life (t1/2) values.

In the biodistribution studies, female C57BL/6 mice (10–11 weeks old) were administered AF750-labeled nanoprobes or AF750-labeled AuNCs (15 μM, 200 μl) intravenously. The mice were euthanized at 2 h (for both nanoprobes and AuNC) and 15 days (for nanoprobes only) post-injection. The accumulation of these substances in the main organs (liver, kidneys, lungs, spleen, and heart) was measured using the IVIS Spectrum Xenogen machine (Caliper Life Sciences) and quantified with Living Image Software (PerkinElmer, v4.7.3). Regions of interest were drawn around the organs, and the total radiance flux was subtracted (Total Flux [p/s]). Additionally, for mice injected with AuNCs, urine samples were collected at the specified time points and analyzed using ICP-MS and colorimetric assays.

Statistics and reproducibility

Statistical analyses were carried out using GraphPad Prism version 10. Data are presented as mean ± s.d. unless otherwise specified. Sample sizes were determined based on pilot data and previous publications of our group26,89 estimating variance and effect size for each assay, in consultation with an experienced biostatistician. Group sizes were consistent with those commonly used in our previous research and were sufficient to detect biologically meaningful differences with statistical significance at P < 0.05. All key findings were reproduced in independent experiments to ensure robustness. Sample sizes for each experiment are provided in the corresponding figure legends. Group assignment was conducted using simple randomization procedures. Data normality was evaluated with the Shapiro-Wilk test, and homogeneity of variances was examined using the F-test. For datasets that followed a normal distribution with equal variances, significance was assessed using a two-tailed unpaired Student’s t-test unless stated otherwise. When variances were unequal, Welch’s correction was applied. Non-normally distributed data were analyzed using the two-sided Mann-Whitney U test. Comparisons among more than two groups were performed using one-way ANOVA, whereas two-way ANOVA was applied to datasets involving two independent variables, such as cell confluence or longitudinal tumor growth. Following ANOVA, Tukey’s, Dunnett’s or Šidák post hoc multiple comparison tests were used to evaluate differences between group means (as specified). Researchers conducting micro-CT and ICP analyses were blinded to group allocation during data processing. For mice study involving tumors, mice were matched with age and starting tumor volume. Due to the variability of in vivo tumor growth, animals were randomly allocated to experimental groups once initial tumor burden was determined, such that each experimental group were normalized by comparable tumor volumes before treatment. No samples, animals or data points were excluded under the predefined experimental criteria. Statistical significance was defined as P < 0.05.

Reporting summary

Further information on research design is available in the Nature Portfolio Reporting Summary linked to this article.