Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Article
  • Published:

Chemically modified and inactivated bacteria enable intra-biofilm drug delivery and long-term immunity against implant infections

Abstract

Bacterial biofilms, prevalent in human infections, present a major barrier to effective antibacterial therapy due to limited drug permeability and resistance. Here we introduce a ‘trick-bacteria-with-bacteria’ strategy that employs bacteria modified via calcium chloride treatment and antibiotic loading, followed by ultraviolet inactivation. These modified bacteria integrate selectively into biofilms of the same species, enabling targeted intra-biofilm drug release triggered by local pH and hydrogen peroxide. Species-specific integration is essential, as mismatched strains exhibit spatial segregation due to differences in surface adhesins and protein profiles. The strategy is effective against polymicrobial biofilms and demonstrated efficacy in treating biofilms formed by Staphylococcus aureus, Escherichia coli and Candida albicans. It also reinvigorates biofilm-associated macrophages by inducing the release of biofilm-derived l-arginine, enhancing immune responses. In vivo studies using subcutaneous and bone implant infection models showed stronger biofilm eradication and longer-term immunity in animals treated with modified bacteria compared with those treated with antibiotics, including resistance to re-infection. This approach could be adapted to modify infection-related bacteria from patients for personalized intra-biofilm drug delivery.

This is a preview of subscription content, access via your institution

Access options

Buy this article

USD 39.95

Prices may be subject to local taxes which are calculated during checkout

Fig. 1: Schematic illustration of the tricker bacteria delivering antibiotics into the biofilm and impacting the antibacterial immune responses.
Fig. 2: Characterization of the tricker bacteria.
Fig. 3: Mechanism of the intra-biofilm delivery of antibiotics by the tricker bacteria.
Fig. 4: Antibiotic-loaded tricker bacteria reverses the immunosuppressive phenotype of BAMs.
Fig. 5: Untargeted metabolomics profiling of BIO-CM.
Fig. 6: Topical application of drug-loaded tricker bacteria in established subcutaneous implant biofilm infections and its efficacy to resist rechallenged bacteria.
Fig. 7: Modified bacterial therapy enhances the antibacterial effect of vancomycin in bone implant infections and triggers long-term immune responses to prevent infection relapse.

Similar content being viewed by others

Data availability

All data are available in the main text or Supplementary Information. Source data are provided with this paper.

References

  1. Choi, V., Rohn, J. L., Stoodley, P., Carugo, D. & Stride, E. Drug delivery strategies for antibiofilm therapy. Nat. Rev. Microbiol. 21, 555–572 (2023).

    Article  PubMed  CAS  Google Scholar 

  2. Mah, T. F. & O’Toole, G. A. Mechanisms of biofilm resistance to antimicrobial agents. Trends Microbiol. 9, 34–39 (2001).

    Article  PubMed  CAS  Google Scholar 

  3. Ciofu, O., Moser, C., Jensen, P. O. & Hoiby, N. Tolerance and resistance of microbial biofilms. Nat. Rev. Microbiol. 20, 621–635 (2022).

    Article  PubMed  CAS  Google Scholar 

  4. Masters, E. A. et al. Skeletal infections: microbial pathogenesis, immunity and clinical management. Nat. Rev. Microbiol. 20, 385–400 (2022).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  5. Wouthuyzen-Bakker, M. et al. How to handle concomitant asymptomatic prosthetic joints during an episode of hematogenous periprosthetic joint infection, a multicenter analysis. Clin. Infect. Dis. 73, e3820–e3824 (2021).

    Article  PubMed  Google Scholar 

  6. Sauer, K. et al. The biofilm life cycle: expanding the conceptual model of biofilm formation. Nat. Rev. Microbiol. 20, 608–620 (2022).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  7. Bayles, K. W. The biological role of death and lysis in biofilm development. Nat. Rev. Microbiol. 5, 721–726 (2007).

    Article  PubMed  CAS  Google Scholar 

  8. Winstel, V., Kühner, P., Rohde, H. & Peschel, A. Genetic engineering of untransformable coagulase-negative staphylococcal pathogens. Nat. Protoc. 11, 949–959 (2016).

    Article  PubMed  CAS  Google Scholar 

  9. Gurbatri, C. R., Arpaia, N. & Danino, T. Engineering bacteria as interactive cancer therapies. Science 378, 858–864 (2022).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  10. Chen, Y. E. et al. Engineered skin bacteria induce antitumor T cell responses against melanoma. Science 380, 203–210 (2023).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  11. Stary, G. et al. VACCINES. A mucosal vaccine against Chlamydia trachomatis generates two waves of protective memory T cells. Science 348, aaa8205 (2015).

    Article  PubMed  PubMed Central  Google Scholar 

  12. Jaiaue, P. et al. Mathematical modeling for evaluating inherent parameters affecting UVC decontamination of indicator bacteria. Appl. Environ. Microbiol. 88, e0214821 (2022).

    Article  PubMed  Google Scholar 

  13. Arciola, C. R., Campoccia, D. & Montanaro, L. Implant infections: adhesion, biofilm formation and immune evasion. Nat. Rev. Microbiol. 16, 397–409 (2018).

    Article  PubMed  CAS  Google Scholar 

  14. Guo, G. et al. Space-selective chemodynamic therapy of CuFe5O8 nanocubes for implant-related infections. ACS Nano 14, 13391–13405 (2020).

    Article  PubMed  CAS  Google Scholar 

  15. Schilcher, K. & Horswill, A. R. Staphylococcal biofilm development: structure, regulation, and treatment strategies. Microbiol. Mol. Biol. Rev. 84, e00026–00019 (2020).

    Article  Google Scholar 

  16. Geiger, R. et al. L-arginine modulates T cell metabolism and enhances survival and anti-tumor activity. Cell 167, 829–842.e813 (2016).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  17. Canale, F. P. et al. Metabolic modulation of tumours with engineered bacteria for immunotherapy. Nature 598, 662–666 (2021).

    Article  PubMed  CAS  Google Scholar 

  18. Gao, L. et al. Orchestrating nitric oxide and carbon monoxide signaling molecules for synergistic treatment of MRSA infections. Angew. Chem. Int. Ed. 61, e202112782 (2022).

    Article  CAS  Google Scholar 

  19. Wu, L., Bao, F., Li, L., Yin, X. & Hua, Z. Bacterially mediated drug delivery and therapeutics: strategies and advancements. Adv. Drug. Deliv. Rev. 187, 114363 (2022).

    Article  PubMed  CAS  Google Scholar 

  20. Dubnau, D. & Blokesch, M. Mechanisms of DNA uptake by naturally competent bacteria. Annu. Rev. Genet. 53, 217–237 (2019).

    Article  PubMed  CAS  Google Scholar 

  21. Huang, R. & Reusch, R. N. Genetic competence in Escherichia coli requires poly-beta-hydroxybutyrate/calcium polyphosphate membrane complexes and certain divalent cations. J. Bacteriol. 177, 486–490 (1995).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  22. Aich, P., Patra, M., Chatterjee, A. K., Roy, S. S. & Basu, T. Calcium chloride made E. coli competent for uptake of extraneous DNA through overproduction of OmpC protein. Protein J. 31, 366–373 (2012).

    Article  PubMed  CAS  Google Scholar 

  23. Turnbull, L. et al. Explosive cell lysis as a mechanism for the biogenesis of bacterial membrane vesicles and biofilms. Nat. Commun. 7, 11220 (2016).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  24. Flemming, H. C. et al. The biofilm matrix: multitasking in a shared space. Nat. Rev. Microbiol. 21, 70–86 (2022).

    Article  PubMed  Google Scholar 

  25. Davies, M. J. & Truscott, R. J. W. in Comprehensive Series in Photosciences Vol. 3 (ed. Giacomoni, P. U.) Ch. 12 (Elsevier, 2001).

  26. Vollmer, W., Blanot, D. & De Pedro, M. A. Peptidoglycan structure and architecture. FEMS Microbiol. Rev. 32, 149–167 (2008).

    Article  PubMed  CAS  Google Scholar 

  27. Pasquina-Lemonche, L. et al. The architecture of the Gram-positive bacterial cell wall. Nature. 582, 294–297 (2020).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  28. Patel, M., Andoy, N. M. O., Tran, S. M., Jeon, K. & Sullan, R. M. A. Different drug loading methods and antibiotic structure modulate the efficacy of polydopamine nanoparticles as drug nanocarriers. J. Mater. Chem. B 11, 11335–11343 (2023).

    Article  PubMed  CAS  Google Scholar 

  29. Chen, C. et al. Single-particle assessment of six different drug-loading strategies for incorporating doxorubicin into small extracellular vesicles. Anal. Bioanal. Chem. 415, 1287–1298 (2022).

    Article  PubMed  Google Scholar 

  30. Chang, L. et al. Micro-/nanoscale electroporation. Lab Chip 16, 4047–4062 (2016).

    Article  PubMed  CAS  Google Scholar 

  31. Vajente, M., Clerici, R., Ballerstedt, H., Blank, L. M. & Schmidt, S. Using Cupriavidus necator H16 to provide a roadmap for increasing electroporation efficiency in nonmodel bacteria. ACS Synth. Biol. 14, 4330–4341 (2024).

  32. Makabenta, J. M. V. et al. Nanomaterial-based therapeutics for antibiotic-resistant bacterial infections. Nat. Rev. Microbiol. 19, 23–36 (2021).

    Article  PubMed  CAS  Google Scholar 

  33. Hamad, C. D. et al. Comparing the in vitro efficacy of commonly used surgical irrigants for the treatment of implant-associated infections. J. Bone Joint. Surg. Am. 107, 1818–1824 (2025).

  34. Uberoi, A., McCready-Vangi, A. & Grice, E. A. The wound microbiota: microbial mechanisms of impaired wound healing and infection. Nat. Rev. Microbiol. 22, 507–521 (2024).

    Article  PubMed  CAS  Google Scholar 

  35. Ruiz-Sorribas, A., Poilvache, H. & Van Bambeke, F. Pharmacodynamics of moxifloxacin, meropenem, caspofungin, and their combinations against in vitro polymicrobial interkingdom biofilms. Antimicrob. Agents Chemother. 66, e0214921 (2022).

  36. Vlaeminck, J. et al. The dynamic transcriptome during maturation of biofilms formed by methicillin-resistant Staphylococcus aureus. Front. Microb. 13, 882346 (2022).

    Article  Google Scholar 

  37. Mishra, S. & Imlay, J. Why do bacteria use so many enzymes to scavenge hydrogen peroxide? Arch. Biochem. Biophys. 525, 145–160 (2012).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  38. Gehrke, T. et al. Organism profile in periprosthetic joint infection: pathogens differ at two arthroplasty infection referral centers in Europe and in the United States. J. Knee Surg. 27, 399–406 (2014).

    Article  PubMed  Google Scholar 

  39. Savage, V. J., Chopra, I. & O’Neill, A. J. Staphylococcus aureus biofilms promote horizontal transfer of antibiotic resistance. Antimicrob. Agents Chemother. 57, 1968–1970 (2013).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  40. Wang, Y. et al. CCR2 contributes to host defense against Staphylococcus aureus orthopedic implant-associated infections in mice. J. Orthop. Res. 40, 409–419 (2021).

    Article  PubMed  PubMed Central  Google Scholar 

  41. El Kasmi, K. C. et al. Toll-like receptor-induced arginase 1 in macrophages thwarts effective immunity against intracellular pathogens. Nat. Immunol. 9, 1399–1406 (2008).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  42. Hanke, M. L. & Kielian, T. Deciphering mechanisms of staphylococcal biofilm evasion of host immunity. Front. Cell. Infect. Microbiol. 2, 62 (2012).

    Article  PubMed  PubMed Central  Google Scholar 

  43. Urbano, R. et al. Host nitric oxide disrupts microbial cell-to-cell communication to inhibit staphylococcal virulence. Cell Host Microbe 23, 594–606 (2018).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  44. Garrett, W. S. Immune recognition of microbial metabolites. Nat. Rev. Immunol. 20, 91–92 (2020).

    Article  PubMed  CAS  Google Scholar 

  45. Roewe, J. et al. Bacterial polyphosphates interfere with the innate host defense to infection. Nat. Commun. 11, 4035 (2020).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  46. Morita, N. et al. GPR31-dependent dendrite protrusion of intestinal CX3CR1+ cells by bacterial metabolites. Nature 566, 110–114 (2019).

    Article  PubMed  CAS  Google Scholar 

  47. Thurlow, L. R. et al. Functional modularity of the arginine catabolic mobile element contributes to the success of USA300 methicillin-resistant Staphylococcus aureus. Cell Host Microbe 13, 100–107 (2013).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  48. Yang, C. et al. Inorganic nanosheets facilitate humoral immunity against medical implant infections by modulating immune co-stimulatory pathways. Nat. Commun. 13, 4866 (2022).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  49. Blaskovich, M. A. T. et al. A lipoglycopeptide antibiotic for Gram-positive biofilm-related infections. Sci. Transl. Med. 14, eabj2381 (2022).

    Article  PubMed  CAS  Google Scholar 

  50. Hang, S. et al. Bile acid metabolites control TH17 and Treg cell differentiation. Nature 576, 143–148 (2019).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  51. Cortes-Penfield, N. et al. How we approach suppressive antibiotic therapy following debridement, antibiotics, and implant retention for prosthetic joint infection. Clin. Infect. Dis. 78, 188–198 (2024).

    Article  PubMed  CAS  Google Scholar 

  52. Ren, Y. et al. Evidence of bisphosphonate-conjugated sitafloxacin eradication of established methicillin-resistant S. aureus infection with osseointegration in murine models of implant-associated osteomyelitis. Bone Res. 11, 51 (2023).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  53. Mazzolini, R. et al. Engineered live bacteria suppress Pseudomonas aeruginosa infection in mouse lung and dissolve endotracheal-tube biofilms. Nat. Biotechnol. 41, 1089–1098 (2023).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  54. Lei, B., van den Berg, S., de Vogel, C. P., van Belkum, A. & Bakker-Woudenberg, I. A. J. M. Mild Staphylococcus aureus skin infection improves the course of subsequent endogenous S. aureus bacteremia in mice. PLoS ONE 10, e0129150 (2015).

    Article  Google Scholar 

  55. Vincent, R. L. et al. Probiotic-guided CAR-T cells for solid tumor targeting. Science 382, 211–218 (2023).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  56. Zhou, S., Gravekamp, C., Bermudes, D. & Liu, K. Tumour-targeting bacteria engineered to fight cancer. Nat. Rev. Cancer 18, 727–743 (2018).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  57. Hwang, I. Y. et al. Engineered probiotic Escherichia coli can eliminate and prevent Pseudomonas aeruginosa gut infection in animal models. Nat. Commun. 8, 15028 (2017).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  58. Tan, L. et al. Engineered probiotics biofilm enhances osseointegration via immunoregulation and anti-infection. Sci. Adv. 6, eaba5723 (2020).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  59. Lu, J. et al. Inactive trojan bacteria as safe drug delivery vehicles crossing the blood–brain barrier. Nano Lett. 23, 4326–4333 (2023).

    Article  PubMed  CAS  Google Scholar 

  60. Li, Z. et al. Chemically and biologically engineered bacteria-based delivery systems for emerging diagnosis and advanced therapy. Adv. Mater. 33, e2102580 (2021).

    Article  PubMed  Google Scholar 

  61. Su, L. et al. Synergy between pH- and hypoxia-responsiveness in antibiotic-loaded micelles for eradicating mature, infectious biofilms. Acta Biomater. 154, 559–571 (2022).

    Article  PubMed  CAS  Google Scholar 

  62. Damyanova, T. et al. Gram negative biofilms: structural and functional responses to destruction by antibiotic-loaded mixed polymeric micelles. Microorganisms 12, 2670 (2024).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  63. Yildirim, T. et al. A new class of polyion complex vesicles (PIC-somes) to improve antimicrobial activity of tobramycin in Pseudomonas aeruginosa biofilms. Small 20, e2401926 (2024).

    Article  PubMed  Google Scholar 

  64. Sedighi, O., Bednarke, B., Sherriff, H. & Doiron, A. L. Nanoparticle-based strategies for managing biofilm infections in wounds: a comprehensive review. ACS Omega 9, 27853–27871 (2024).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  65. Fulaz, S., Vitale, S., Quinn, L. & Casey, E. Nanoparticle–biofilm interactions: the role of the EPS matrix. Trends Microbiol. 27, 915–926 (2019).

    Article  PubMed  CAS  Google Scholar 

  66. Panthi, V. K., Fairfull-Smith, K. E. & Islam, N. Liposomal drug delivery strategies to eradicate bacterial biofilms: challenges, recent advances, and future perspectives. Int. J. Pharm. 655, 124046 (2024).

  67. Koo, H., Allan, R. N., Howlin, R. P., Stoodley, P. & Hall-Stoodley, L. Targeting microbial biofilms: current and prospective therapeutic strategies. Nat. Rev. Microbiol. 15, 740–755 (2017).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  68. Liu, Y. et al. Nanotechnology-based antimicrobials and delivery systems for biofilm-infection control. Chem. Soc. Rev. 48, 428–446 (2019).

    Article  PubMed  CAS  Google Scholar 

  69. Stacy, A., McNally, L., Darch, S. E., Brown, S. P. & Whiteley, M. The biogeography of polymicrobial infection. Nat. Rev. Microbiol. 14, 93–105 (2015).

    Article  PubMed  PubMed Central  Google Scholar 

  70. Chew, S. C. et al. Dynamic remodeling of microbial biofilms by functionally distinct exopolysaccharides. mBio 5, e01536–01514 (2014).

    Article  Google Scholar 

  71. Kim, W., Racimo, F., Schluter, J., Levy, S. B. & Foster, K. R. Importance of positioning for microbial evolution. Proc. Natl Acad. Sci. USA 111, E1639–E1647 (2014).

    PubMed  PubMed Central  CAS  Google Scholar 

  72. Korgaonkar, A., Trivedi, U., Rumbaugh, K. P. & Whiteley, M. Community surveillance enhances Pseudomonas aeruginosa virulence during polymicrobial infection. Proc. Natl Acad. Sci. USA 110, 1059–1064 (2012).

    Article  PubMed  PubMed Central  Google Scholar 

  73. Yang, L. et al. Pattern differentiation in co-culture biofilms formed by Staphylococcus aureus and Pseudomonas aeruginosa. FEMS Immunol. Med. Microbiol. 62, 339–347 (2011).

    Article  PubMed  CAS  Google Scholar 

  74. Harding, J. L. & Reynolds, M. M. Combating medical device fouling. Trends Biotechnol. 32, 140–146 (2014).

    Article  PubMed  CAS  Google Scholar 

  75. Zecconi, A. & Scali, F. Staphylococcus aureus virulence factors in evasion from innate immune defenses in human and animal diseases. Immunol. Lett. 150, 12–22 (2013).

    Article  PubMed  CAS  Google Scholar 

  76. Scherr, T. D. et al. Staphylococcus aureus biofilms induce macrophage dysfunction through leukocidin AB and alpha-toxin. mBio 6, e01021–01015 (2015).

    Article  Google Scholar 

  77. Alboslemy, T., Yu, B., Rogers, T., Kim, M.-H. & Freitag, N. E. Staphylococcus aureus biofilm-conditioned medium impairs macrophage-mediated antibiofilm immune response by upregulating KLF2 expression. Infect. Immun. 87, e00643–00618 (2019).

    Article  Google Scholar 

  78. Marullo, R. et al. The metabolic adaptation evoked by arginine enhances the effect of radiation in brain metastases. Sci. Adv. 7, eabg1964 (2021).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  79. Ralph, A. P., Kelly, P. M. & Anstey, N. M. L-arginine and vitamin D: novel adjunctive immunotherapies in tuberculosis. Trends Microbiol. 16, 336–344 (2008).

    Article  PubMed  CAS  Google Scholar 

  80. Rossato, A. M., Primon-Barros, M., Dias, C. A. G. & d’Azevedo, P. A. Vancomycin MIC and agr dysfunction in invasive MRSA infections in southern Brazil. Braz. J. Microbiol. 51, 1819–1823 (2020).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  81. Britt, N. S., Hazlett, D. S., Horvat, R. T., Liesman, R. M. & Steed, M. E. Activity of pulmonary vancomycin exposures versus planktonic and biofilm isolates of methicillin-resistant Staphylococcus aureus from cystic fibrosis sputum. Int. J. Antimicrob. Agents 55, 105898 (2020).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  82. Diaz, R., Afreixo, V., Ramalheira, E., Rodrigues, C. & Gago, B. Evaluation of vancomycin MIC creep in methicillin-resistant Staphylococcus aureus infections—a systematic review and meta-analysis. Clin. Microbiol. Infect. 24, 97–104 (2018).

    Article  PubMed  CAS  Google Scholar 

  83. Hartsell, E. M., Gillespie, M. N. & Langley, R. J. Does acute and persistent metabolic dysregulation in COVID-19 point to novel biomarkers and future therapeutic strategies? Eur. Clin. Respir. J. 59, 2102417 (2022).

    Article  CAS  Google Scholar 

  84. Li, Y. et al. Untargeted metabolomics of saliva in caries-active and caries-free children in the mixed dentition. Front. Cell. Infect. Microbiol. 13, 1104295 (2023).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  85. Gordon, O. et al. Dynamic PET-facilitated modeling and high-dose rifampin regimens for Staphylococcus aureus orthopedic implant-associated infections. Sci. Transl. Med. 13, eabl6851 (2021).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  86. Li, L. et al. Burst release of encapsulated annexin A5 in tumours boosts cytotoxic T-cell responses by blocking the phagocytosis of apoptotic cells. Nat. Biomed. Eng. 4, 1102–1116 (2020).

    Article  PubMed  CAS  Google Scholar 

Download references

Acknowledgements

We acknowledge financial support from the National Key R&D Program of China (2022YFB3804500; to H.L.), Shanghai Pilot Program for Basic Research-Chinese Academy of Science, Shanghai Branch (JCYJ-SHFY-2022-003; to H.L.), National Natural Science Foundation of China (52372276, 22335006 and 82302717; to H.L. and C.Y.), Youth Innovation Promotion Association CAS (2023262; to H.L.), Young Elite Scientists Sponsorship Program by CAST (YESS20210149; to H.L.), Shanghai Science and Technology Committee Rising-Star Program (22QA1410200; to H.L.), China Postdoctoral Science Foundation (2023M732310; to C.Y.), Shanghai Sailing Program (23YF1432200; to C.Y.), Natural Science Foundation of Shanghai (23ZR1472300; to H.L.), Harvard/Brigham Health and Technology Innovation Fund (2023A004452; to W.T.), Gillian Reny Stepping Strong Center for Trauma Innovation Breakthrough Innovator Award (113548; to W.T.), Department Basic Scientist Grant (2420 BPA075; to W.T.), Nanotechnology Foundation (2022A002721; to W.T.), and Distinguished Chair Professorship Foundation (018129; to W.T.).

Author information

Authors and Affiliations

Authors

Contributions

C.Y., M.G., H.L. and W.T. conceived of the study. C.Y., M.G., H.L. and W.T. designed the experiments. C.Y., M.G., H.L., Q.S., W.C., S.A., M.M.K., N.K., S.Z. and J.S. performed the experiments, discussed and analysed the data or provided essential experimental resources. C.Y., M.G., H.L. and W.T. wrote the paper, and the paper was revised by all the authors.

Corresponding authors

Correspondence to Min Ge, Han Lin or Wei Tao.

Ethics declarations

Competing interests

The authors declare no competing interests.

Peer review

Peer review information

Nature Biomedical Engineering thanks Xinge Zhang and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Extended data

Extended Data Fig. 1 The penetration of modified S. aureus into S. aureus biofilm.

S. aureus-eGFP biofilm (green) was treated with modified S. aureus-mcherry (red). The fluorescent images showed the penetration process of the tricker S. aureus. The experiments were repeated independently at least three times with similar results.

Extended Data Fig. 2 The penetration of modified E.coli into E.coli biofilm.

E. coli-sfgfp biofilm (green) was treated with modified E. coli-mcherry (red). The fluorescent images showed the penetration process of the tricker E. coli. The experiments were repeated independently at least three times with similar results.

Extended Data Fig. 3 The penetration of modified E.coli into S. aureus biofilm.

S. aureus-eGFP biofilm (green) was treated with modified E. coli-mcherry (red). The experiments were repeated independently at least three times with similar results.

Extended Data Fig. 4 The penetration of modified S. aureus into E.coli biofilm.

E. coli-sfgfp biofilm (green) was treated with modified S. aureus-mcherry (red). The experiments were repeated independently at least three times with similar results.

Extended Data Fig. 5 Protein bands of live and tricker bacteria.

The protein expression profile of live and tricker bacteria was determined by Coomassie Brilliant Blue staining. The experiments were repeated independently at least three times with similar results.

Source data

Extended Data Fig. 6 Penetration effect of tricker bacteria into polymicrobial biofilms.

a, Schematic of polymicrobial biofilms consists of S.aureus, E.coli and C.albicans. b, Low and high magnification of SEM images of the polymicrobial biofilms. S. aureus, E.coli and C.albicans are pseudo-colored with red, purple and brown, respectively. c, Flow cytometry plots of dislodged single-species biofilm or polymicrobial biofilms. d, Representative three-dimensional fluorescent images of biofilms (green) before and after incubation with PI-stained Van@Tr-S.a., Cip@Tr-E.c. or Flu@Tr-C.a. (red). For b, d, the experiments were repeated independently at least three times with similar results.

Supplementary information

Supplementary Information (download PDF )

Supplementary Methods, Figs. 1–34, Table 1 and References.

Reporting Summary (download PDF )

Supplementary Data 1 (download XLSX )

Source data for Supplementary figures.

Source data

Source Data Fig. 2 (download XLSX )

Statistical source data.

Source Data Fig. 4 (download XLSX )

Statistical source data.

Source Data Fig. 5 (download XLSX )

Statistical source data.

Source Data Fig. 6 (download XLSX )

Statistical source data.

Source Data Fig. 7 (download XLSX )

Statistical source data.

Source Data Extended Data Fig. 5 (download XLSX )

Unprocessed Coomassie Brilliant Blue staining gels.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Yang, C., Saiding, Q., Chen, W. et al. Chemically modified and inactivated bacteria enable intra-biofilm drug delivery and long-term immunity against implant infections. Nat. Biomed. Eng (2026). https://doi.org/10.1038/s41551-025-01600-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Version of record:

  • DOI: https://doi.org/10.1038/s41551-025-01600-8

Search

Quick links

Nature Briefing: Translational Research

Sign up for the Nature Briefing: Translational Research newsletter — top stories in biotechnology, drug discovery and pharma.

Get what matters in translational research, free to your inbox weekly. Sign up for Nature Briefing: Translational Research