Introduction

The rise of liver abscess (LA) poses an urgent public health challenge worldwide, particularly in Asia, where incidence rates are climbing rapidly1,2,3,4. Over the past three decades, Klebsiella pneumoniae has emerged as the leading cause of LA, with ~20% of cases progressing to extrahepatic migratory infections (EMIs), such as endophthalmitis, meningitis and necrotizing fasciitis, collectively known as invasive K. pneumoniae liver abscess syndrome (IKPLAS)5,6,7. Despite aggressive treatment regimens, mortality rates for IKPLAS remain as high as 20%, and many survivors suffer from debilitating complications, including central nervous system damage and permanent blindness8,9,10,11,12.

The hypervirulence of K. pneumoniae plays a critical role in the progression of IKPLAS, highlighting the need to understand the factors regulating virulence in these strains. Capsular polysaccharide (CPS) and siderophores are well-known virulence factors in K. pneumoniae, essential for its pathogenicity13.The CPS gene cluster comprises ~17 or more open reading frames (ORFs), organized into three operons, each regulated by a promoter located upstream of orf1 (galF), orf3 (wzi), and orf16 (manC)14. Aerobactin, along with other siderophores such as enterobactin, yersiniabactin and salmochelin, further contributes to the hypervirulence of K. pneumoniae, enhancing its ability to cause severe infections15,16. As these virulence factors are directly involved in disease progression, understanding their regulation is critical for developing novel interventions to combat IKPLAS and reduce associated morbidity and mortality.

Previous research on IKPLAS has predominantly focused on clinical presentations, treatments and microbial characteristics of K. pneumoniae, often limited to case reports17,18,19,20. While C-P Fung et al. identified K. pneumoniae serotype K1, the hypermucoviscous phenotype (HMV) and CPS as significantly associated with IKPLAS, these microbial features alone cannot fully account for the pathogenesis, as non-K1 K. pneumoniae strains have also been implicated in the syndrome21,22. More recently, the type VI secretion system (T6SS) in K. pneumoniae has been suggested to contribute to IKPLAS development through interactions with host factors23. High morbidity and mortality of IKPLAS necessitates a study of exploring the dynamic interactions between microbial and host factors, which likely contribute to IKPLAS.

Our study directly addresses this knowledge gap by systematically investigating both microbial and host factors involved in IKPLAS. We observed that elevated lactate level, a well-established biomarker for sepsis severity, as an independent risk factor for IKPLAS. Further investigation revealed that lactate enhanced the virulence of K. pneumoniae through the phosphoenolpyruvate phosphotransferase system (PTS)-cyclic Adenosine monophosphate (cAMP) response protein (CRP)-CPS axis, potentially explaining the progression of IKPLAS. Our findings offer insights into the pathogenesis of IKPLAS and highlight a potential target for therapeutic intervention in this life-threatening infection.

Results

Clinical data of patients with KPLA and bacterial collection

Among the 68 patients diagnosed with LA caused by K. pneumoniae, 30 patients with EMIs, including 22 with sepsis and 8 with both sepsis and pulmonary infection, were assigned to the IKPLAS group. The remaining 38 patients were included in the KPLA group. Clinical data analysis revealed that patients in the IKPLAS group were older, had a higher prevalence of diabetes mellitus, elevated levels of blood glycated hemoglobin (HbA1c) and blood lactate, less frequent administration of moxifloxacin during treatment, and underwent a greater number of puncture procedures compared to those in the KPLA group (Supplementary Table 1). A total of 68 non-repetitive K. pneumoniae isolates were collected from the blood or pus of the patients, including 30 isolates from the IKPLAS group and 38 isolates from the KPLA group, for subsequent analysis.

No significant differences in the molecular characteristics and antibiotic susceptibility of K. pneumoniae isolated from patients in IKPLAS and KPLA groups

HMV phenotype was observed in 83.3% (25/30) K. pneumoniae isolates from the IKPLAS group and 78.9% (30/38) isolates from the KPLA group (P > 0.05) (Fig. 1a, b). Sequence type (ST) 23 and K1 were the predominant clone and serotype in both groups, with no statistically significant difference in their proportions (P > 0.05) (Fig. 1c, d). No significant differences were found in the carriage of virulence or resistance genes between the isolates from the two groups (P > 0.05). The above statistical results are detailed in Supplementary Table 2. Additionally, more than half of the isolates in both groups exhibited a virulence score of 5 and a resistance score of 0. However, the proportion of isolates with these scores did not differ significantly between the two groups (P > 0.05), as determined by Kleborate24 (Fig. 1e, f). Except for one isolate that exhibited resistance to carbapenems, all other 67 isolates were highly sensitive to commonly used antibiotics (Supplementary Table 3). These findings indicated that bacterial characteristics alone were not the primary drivers of IKPLAS, suggesting that alternative factors, potentially host-related, could play a pivotal role.

Fig. 1: Molecular characteristics of K. pneumoniae from the IKPLAS and KPLA groups.
figure 1

a, b Representative positive and negative string tests of K. pneumoniae isolates from the two groups. c Percentage of ST clones among K. pneumoniae isolates from the IKPLAS and KPLA groups. The nine most common ST types (ST23, ST65, ST86, ST1049, ST375, ST412, ST700, ST1265, ST2159) and other ST types are shown. d Percentage of K serotype in K. pneumoniae isolates from the IKPLAS and KPLA groups. e, f Percentage of virulence (e) and resistance (f) scores in K. pneumoniae from the IKPLAS and KPLA groups. Panels c–f were analyzed using a two-sided Pearson’s Chi-square test or Fisher’s exact test, as appropriate. Virulence and resistance score classifications, as defined by Kleborate, are presented on the right side of (e, f). The number of K. pneumoniae isolates in each group (n) is indicated above. ybt, yersiniabactin; clb, colibactin; iuc, aerobactin; VP, virulence plasmid; ESBL, extended-spectrum β-lactamase; Carb, carbapenemase. Source data are provided as a Source Data file.

Phylogenetic relatedness

To investigate the clonal relatedness of our isolates in the context of the published populations, we downloaded 49 genome sequences of K. pneumoniae isolates associated with LA from the Sequence Read Archive (SRA) database. These isolates originated from Singapore (n = 43), Czechia (n = 3), Ireland (n = 2) and Portugal (n = 1). Detailed metadata on all 117 isolates, including our 68 isolates and the 49 global isolates is provided in Supplementary data files. A single nucleotide polymorphism (SNP) tree was constructed using all the 117 genomes. As shown in Fig. 2, distinct phylogenetic clusters were observed for each ST, including ST23, ST65 and ST86. Notably, each cluster, especially the largest ST23 cluster, contained isolates from our study as well as from several other countries, suggesting similar distribution patterns across various countries. Furthermore, our isolates were genetically closely related to those from other countries, indicating that the K. pneumoniae isolates in our study are representative of the global strains.

Fig. 2: The Phylogenetic structure of 117 K. pneumoniae isolates responsible for liver abscess.
figure 2

The innermost circle represents the source countries of each isolate. The middle and outermost circles correspond to the K types and ST types, respectively. In K and ST types, gray block indicated the strain number of certain ST type or K type is less than three. Source data are provided as a Source Data file.

Elevated blood lactate levels as an independent risk factor for IKPLAS

To identify host factors associated with IKPLAS, we conducted univariate and multivariate analyses of potential risk factors. Our findings revealed that elevated blood lactate levels, reduced moxifloxacin administration and a greater number of puncture procedures were independently associated with IKPLAS (Table 1). Among these factors, blood lactate levels warrant particular attention due to their emerging role in enhancing the virulence of various pathogens25,26,27. To further establish the association between lactate and IKPLAS, we compared blood lactate levels in patients with IKPLAS to those in the general population, and found significantly higher lactate levels in the IKPLAS group. Moreover, blood lactate levels in patients with IKPLAS were markedly higher than in patients with respiratory tract infections (RTIs) or urinary tract infections (UTIs) caused by K. pneumoniae (Supplementary Fig. 1). Hyperlactatemia reflects elevated lactate levels in the liver abscess microenvironment. Therefore, we propose that lactate, a previously underexplored factor, may play a critical role in driving IKPLAS within the liver abscess microenvironment.

Table 1 Risk factor analysis of the occurrence of IKPLAS

Lactate promotes CPS biosynthesis and enhances the anti-phagocytic properties of K. pneumoniae

Building on previous evidence that lactate enhances microbial pathogenicity by upregulating key virulence factors28, we hypothesized that lactate contributes to the development of IKPLAS by modulating virulence genes expression. To identify specific virulence factors regulated by lactate, CPS production and gene expression were assessed in 10 randomly selected K. pneumoniae clinical isolates cultured in Luria-Bertani (LB) broth with increasing concentrations of sodium lactate. The detailed information about the isolates is in Supplementary Table 4. Sodium lactate was used to control for pH effects. All isolates showed peak CPS production at 40 mM sodium lactate (Fig. 3a). The HMV phenotype was also enhanced under these conditions compared to LB alone (Fig. 3b). CPS gene cluster expression increased 1.5- to 3-fold in 40 mM sodium lactate compared to LB alone (Fig. 3c–e). In contrast, siderophore-related gene expression remained unchanged (Supplementary Fig. 2) and growth assays under iron-restricted conditions revealed no significant difference between the groups (Supplementary Fig. 3). These findings suggest that lactate enhances K. pneumoniae virulence primarily by promoting CPS production rather than siderophore regulation. For subsequent experiments, we used LB supplemented with 40 mM sodium lactate (referred to as Lac-LB) to investigate the regulatory mechanisms of lactate on CPS production.

Fig. 3: Lactate promotes the CPS production in clinical K. pneumoniae isolates.
figure 3

a CPS quantification of 10 clinical K. pneumoniae isolates cultured in LB with increasing concentrations of sodium lactate. P values comparing each group to the control (0 mM lactate) are shown above the respective groups. The Kp9925 (highlighted in red) was used for RNA-seq and further mechanism investigation, while Kp9730 isolate (purple), Kp9415 (green) and Kp326 (yellow) were used in further animal experiments. b HMV of the 10 clinical K. pneumoniae isolates cultured in LB and Lac-LB. c–e RT-PCR analysis of CPS genes expression in the 10 clinical isolates cultured in LB and Lac-LB. Fold changes are relative to a randomly selected isolate cultured in LB alone. f Endocytosis rate of the 10 clinical K. pneumoniae isolates by RAW 264.7 macrophages. Data represents the ratio of intracellular bacterial CFU to the input bacteria CFU. g Serum resistance assays of 10 clinical K. pneumoniae isolates. Percent survival was determined as the number of surviving bacteria relative to the initial bacterial addition. h Transcriptional expression of proinflammatory cytokines in the RAW 264.7 macrophages infected with 10 clinical K. pneumoniae. i–k ELISA assays measuring proinflammatory cytokines in the supernatant of RAW 264.7 Macrophages infected with 10 clinical K. pneumoniae. For panels (h–k) K. pneumoniae isolates were cultured in LB and Lac-LB for 16 h, washed three times with PBS, and then used to infect RAW 264.7 cells. After 1 h of infection, extracellular bacteria were removed, followed by an additional 2 h of incubation for panel h, and 23 h for panels (i–k). The transcriptional levels of cytokines in RAW 264.7 cells and protein levels in the supernatant of K. pneumoniae-infected RAW 264.7 cells were then measured. Statistical analysis for panels (a–k) was performed using a two-sided independent-samples t-test. In panels (a, h–k), error bars show the mean ± SD. In panels (b–g), Each point represents the mean value of three biological replicates for each strain. All experiments were independently repeated three times with similar results. Source data are provided as a Source Data file.

CPS protects the bacteria from phagocytosis and killing by host factors29. To explore the effect of lactate on the anti-phagocytic properties of K. pneumoniae, we performed phagocytosis assay and observed that isolates cultured in Lac-LB exhibited significantly higher resistance to macrophage phagocytosis compared to those cultured in LB alone (Fig. 3f). The serum resistance assay showed that strains cultured in Lac-LB exhibited increased resistance to serum than those cultured in LB alone, though the difference was not statistically significant (Fig. 3g). Macrophage engulf and digest pathogens, and secrete proinflammatory cytokines, such as interleukin 1β (IL-1β), interleukin 6 (IL-6) and tumor necrosis factor-alpha (TNFα), which are critical for adaptive immunity30. To assess the impact on host immune responses, cytokine expression was measured in RAW264.7 macrophages and corresponding supernatants. Infection with K. pneumoniae cultured in Lac-LB led to increased IL-1β transcription and protein expression, while TNF-α and IL-6 levels remained unchanged (Fig. 3h–k). Collectively, these findings indicated that lactate promotes CPS biosynthesis and enhances the anti-phagocytic properties of K. pneumoniae, thereby triggered a stronger inflammatory response.

Lactate enhances K. pneumoniae virulence in mice

We next investigated the impact of lactate on K. pneumoniae virulence using a mouse LA model (Fig. 4a). Kp9925 is a clinical ST23, K1 serotype isolate, obtained from a patient in the KPLA group. This strain was selected for animal experiments due to its moderate increase in CPS production in Lac-LB, as shown in Fig. 3a. Survival analysis demonstrated a significantly higher mortality rate in mice infected with Kp9925 cultured in Lac-LB compared to those infected with Kp9925 cultured in LB (Fig. 4b). Further assessment of infection severity showed markedly higher bacterial loads in tissues, elevated levels of inflammatory cytokines, and more severe liver inflammation in mice infected with Kp9925 grown in Lac-LB. This was further supported by larger abscess sizes, elevated serum inflammatory cytokines, more infiltration of neutrophil cells, and pronounced disruption of liver tissue and hepatocyte integrity (Fig. 4c–h). In addition, we evaluated the effect of lactate on the virulence of three additional isolates (Kp9730, Kp9415 and Kp326), which displayed varying degrees of CPS enhancement as shown in Fig. 3a. Survival assays revealed significantly higher mortality rates in mice infected with isolates cultured in Lac-LB compared to those infected with bacteria grown in LB (Supplementary Fig. 4). Together, these findings suggest that lactate-induced virulence enhancement promotes more invasive K. pneumoniae infections in mice.

Fig. 4: Lactate enhances K. pneumoniae virulence in mice.
figure 4

a Mouse model of liver abscess. For the survival experiment, mice were intraperitoneally injected with 1 × 104 CFU of K. pneumoniae. For bacterial load analysis in tissues, mice were received 5 × 103 CFU via intraperitoneal injection. b Survival curves of mice infected with Kp9925 cultured in LB or Lac-LB. Mice (n = 6/group) were monitored for 3 days. Statistical analysis was performed using the log-rank tests. c Representative histopathology of liver tissues (Hematoxylin-eosin and MPO staining). Images were shown at 200× magnification. d Bacterial load in the liver, spleen, kidney and lung tissues of mice (n = 5/group). e-f Serum levels of proinflammatory cytokines (IL-6 and TNF-α) measured by ELISA in mice infected with Kp9925 cultured in LB or Lac-LB (n = 5/group). g Histological scores (n = 3/group). h MPO scores (n = 3/group). For panels g and h, two tissue sections per sample were scored on a 0 to 3 scale, and the cumulative lesion score was obtained by summing the individual scores. For panels d-h, n represents the number of biological replicates and statistical analysis was conducted using a two-sided independent-samples t-test. Error bars represent the mean ± SD. All experiments were independently repeated three times with similar results. Source data are provided as a Source Data file.

To confirm that lactate enhances K. pneumoniae virulence specifically through CPS upregulation in vivo, we constructed a Δcps mutant of Kp9925 by deleting the glycosyltransferase gene wcaJ, and compared the virulence of the Δcps mutant cultured in LB and in 40 mM Lac-LB. No significant difference in mortality between mice infected with the Δcps mutant grown in LB and those infected with the mutant grown in Lac-LB was observed (Supplementary Fig. 5). These results suggest that CPS, rather than other virulence factors, is essential for lactate-mediated virulence enhancement in K. pneumoniae.

Lactate-induced mannose-specific PTS enzyme II (man-PTS EII) downregulation is associated with increased CPS production

To investigate the molecular mechanisms underlying lactate-induced CPS upregulation, we selected Kp9925 for transcriptomic analysis between culturing in LB and 40 mM Lac-LB. RNA sequencing (RNA-seq) identified 327 differentially expressed genes (DEGs), comprising 155 upregulated and 172 downregulated genes (Fig. 5a). Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis revealed that a significant proportion of DEGs were linked to PTS systems (Fig. 5b). Among these, the mannose-specific PTS (man-PTS) showed the greatest number of DEGs, including gfrA, gfrB, gfrC and gfrD, suggesting a key role of  man-PTS in lactate-mediated CPS upregulation (Supplementary Fig. 6). These four genes were downregulated about 5-fold in Kp9925 cultured in Lac-LB compared to LB. To validate these results, we assessed the transcriptional expression of gfrA, gfrB, gfrC and gfrD in multiple clinical K. pneumoniae isolates using RT-PCR. Consistent with transcriptomic results, the expression of these genes was significantly reduced in clinical K. pneumoniae cultured in Lac-LB compared to LB (Fig. 5c).

Fig. 5: Lactate induces transcriptome sequencing and differential gene analysis in K. pneumoniae.
figure 5

a Volcano map showing differentially expressed genes in Kp9925 cultured in LB versus Lac-LB. b KEGG pathway enrichment analysis of differentially expressed genes. c Validation of gfrA, gfrB, gfrC and gfrD expression in 10 K. pneumoniae isolates cultured in LB and Lac-LB. For (a, b) Fisher’s exact test was used to test significance and adjusted by Benjamini and Hochberg. For panel c, statistical analysis was conducted using a two-sided independent-samples t-test. Error bars represent the mean ± SD. Source data are provided as a Source Data file.

The PTS systems in K. pneumoniae are primarily responsible for sugar transport and phosphorylation. They consist of several phosphotransferases, including enzyme I (EI), histidine phosphorylated protein (HPr), and the enzyme II (EII) complex31. In the man-PTS, EII is composed of EIIA, EIIB, EIIC and EIID which is encoded by gfrA, gfrB, gfrC and gfrD, respectively32. Recent studies have suggested that components of the PTS in K. pneumoniae can influence CPS production33,34. Based on this evidence, we hypothesize that the lactate-induced man-PTS EII down-regulation may contribute to the increase of CPS biosynthesis.

Man-PTS EII knockout mutant produces more CPS and causes more severe infection in mice than the WT strain

To examine the role of man-PTS EII in CPS regulation, we constructed an isogenic Δman-PTS EII mutant by deleting the gfrA-D genes in Kp9925. Compared to the wild-type (WT) strain, the Δman-PTS EII mutant exhibited increased CPS production and upregulation of CPS gene cluster. Complementation with man-PTS EII restored CPS production to levels similar to the WT strain. Notably, CPS production and gene expression in the Δman-PTS EII mutant did not further increase when cultured in Lac-LB compared to LB alone (Fig. 6a–d). Furthermore, the Δman-PTS EII mutant exhibited significantly higher resistance to macrophage phagocytosis than the WT strain. Similar to CPS expression, the anti-phagocytic properties of the Δman-PTS EII mutant did not increase further under Lac-LB condition (Fig. 6e). These findings support our hypothesis that man-PTS EII mediates the lactate-induced increase in CPS production.

Fig. 6: Man-PTS EII knockout mutant produces more CPS and induces more severe infection in mice compared to the WT strain.
figure 6

a CPS quantification of the wild type (WT), Δman-PTS EII mutant and complemented mutant (C-Δman-PTS EII) strains cultured in LB or Lac-LB. b–d RT-PCR analysis of CPS encoding genes expression (galf, wzi and manC) in the WT, Δman-PTS EII mutant and C-Δman-PTS EII strains cultured in LB and Lac-LB. e Endocytosis rate of the WT and Δman-PTS EII strains by RAW 264.7 macrophages. Data represent the ratio of intracellular bacterial CFU to the input bacteria CFU. f Bacterial loads in liver, spleen, kidney and lung tissues. n = 5/group. g Representative histopathology of liver tissues (Hematoxylin-eosin and MPO staining). Images captured at 200× magnification. h, i Histological and MPO score (n = 3/group). Two tissue sections per sample were scored on a 0 to 3 scale, and cumulative lesion scores were calculated by summing the individual section scores. j–k Serum protein levels of proinflammatory cytokines IL-6 and TNF-α in mice infected with the WT and Δman-PTS EII strains, measured by ELISA. n = 5/group. l Survival curves of mice infected with the WT and Δman-PTS EII strains. Mice (n = 6/group) were intraperitoneally injected with 1 × 104 CFU bacteria and monitored for 3 days. Statistical analysis for panels a-e was performed using one-way ANOVA with Tukey’s post-tests; (f–k) were analyzed using two-sided independent-samples t-test. The survival analysis (l) was performed using the log-rank test. Error bars show the mean ± SD. n indicates the number of biological replicates for all experiments. Source data are provided as a Source Data file.

We then employed a mouse LA model to compare the virulence of the WT strain and Δman-PTS EII mutant. Mice infected with the Δman-PTS EII mutant exhibited markedly higher bacterial loads in tissues, elevated serum IL-6 levels and more severe liver inflammation (Fig. 6f–k). Moreover, survival analysis revealed significantly higher mortality rates in the mice infected with Δman-PTS EII mutant compared to those infected with the WT strain (Fig. 6l). These results suggested  that lactate-induced downregulation of man-PTS EII enhanced the virulence of K. pneumoniae.

Downregulation of man-PTS EII enhances CPS biosynthesis via the cAMP-CRP regulon

Previous studies have established that phosphorylation of PTS components, such as EIIAGlc, can influence cAMP levels by activating adenylate cyclase (AC)35. We hypothesized that lactate-induced man-PTS EII downregulation reduces intracellular cAMP levels, thereby promoting CPS production. To test this, we measured intracellular cAMP levels in the WT strain, Δman-PTS EII mutant and complemented (C-Δman-PTS EII) strains when cultured in LB and Lac-LB. The WT strain showed significantly reduced cAMP levels when grown in Lac-LB compared to LB alone. Notably, the Δman-PTS EII mutant exhibited even lower cAMP levels than both the WT and complemented strains, and cAMP levels in the mutant were not further decreased under Lac-LB conditions (Fig. 7a).

Fig. 7: Downregulation of Man-PTS EII increases CPS biosynthesis via the cAMP-CRP regulon.
figure 7

a Intracellular cAMP concentration in the wild-type (WT), Δman-PTS EII mutant, and complemented mutant (C-Δman-PTS EII) strains cultured in LB or Lac-LB (n = 3). b CPS quantification of the 10 clinical K. pneumoniae isolates grown in LB broth supplemented with lactate and/or cAMP. c HMV of the same 10 isolates cultured in Lac-LB with or without cAMP supplementation. d CPS quantification of the WT and Δcrp strains in LB or Lac-LB (n = 3). e Transcriptional expression of CPS gene cluster in the WT and Δcrp strains cultured in LB or Lac-LB (n = 3). the isolates used in panels b and c are the same as those shown in Fig. 3a. n indicates the number of biological replicates for all experiments. Statistical analysis in (c) was performed using a two-sided independent-samples t-test, while other panels were analyzed by one-way ANOVA with Tukey’s post-tests. In panels (a, d, e), error bars show the mean ± SD. In panels (b, c), Each point represents the mean value of three biological replicates for each strain. Source data are provided as a Source Data file.

To further elucidate the role of cAMP in regulating CPS production and HMV, we cultured 10 clinical isolates in Lac-LB supplemented with exogenous 0.5 mM cAMP, a concentration previously shown to inhibit glucose-induced CPS production36. Exogenous cAMP significantly inhibited the lactate-induced CPS production and HMV in the 10 clinical isolates (Fig. 7b, c). As cAMP acts through the cAMP receptor protein (CRP), a known negative regulator of CPS biosynthesis37. We next investigated the role of CRP in lactate-induced CPS upregulation by constructing a crp knockout (Δcrp) mutant. Compared to the WT strain, the Δcrp mutant exhibited significantly increased CPS production and upregulation of the CPS genes cluster. However, culturing the Δcrp mutant in Lac-LB did not further increase CPS production or genes expression compared to culturing in LB alone (Fig. 7d, e). These results suggested that lactate-induced man-PTS EII downregulation enhanced CPS biosynthesis via suppression of the cAMP-CRP regulon.

Discussion

In recent years, the global incidence of IKPLAS has risen significantly, often leading to severe clinical outcomes6,7,8,9,10,11,12. While both host and microbial factors have been implicated in the pathogenesis of the invasive infections21,23, the precise molecular mechanisms remain poorly understood. Our study bridges this gap by investigating both microbial and host factors in patients with KPLA and IKPLAS. Contrary to previous assumptions, we found no significant differences in the molecular characteristics of K. pneumoniae isolates between the two groups. However, elevated blood lactate level was observed as a predictor of IKPLAS, highlighting a pivotal role of lactate in these infections.

Lactate is a by-product of cell metabolism, generated at the end of anaerobic glycolysis. Under normal circumstance, lactate is present in blood and tissues at low

concentrations, typically below 2 mM38. In cancer and inflammatory conditions, however, tissue lactate levels are markedly elevated, often many times higher than blood levels. Although blood lactate concentrations may remain normal or slightly elevated, tissue lactate can reach 15–40 mM39,40,41,42. In recent years, research on lactate has mainly focused on its immunosuppressive role within the tumor microenvironment. More recently, lactate’s involvement in enhancing bacterial virulence has also gained significant attention. Lactate has been shown to promote the expansion of Campylobacter jejuni in the gut, enhance systemic infection in Salmonella Typhimurium, and support Helicobacter pylori colonization by promoting complement resistance25,27,43. In our study, elevated blood lactate level was identified as an independent risk factor for IKPLAS. Building on these findings, we hypothesized that lactate levels are elevated in the liver abscess microenvironment, where it enhances K. pneumoniae virulence by upregulating key virulence factors, thereby driving the progression of IKPLAS. To test this hypothesis, we examined the effect of lactate on virulence factor regulation at varying concentrations. Our results showed that CPS production peaked at 40 mM lactate in clinical K. pneumoniae isolates. Consequently, we focused on lactate’s role in CPS regulation at this concentration, which may be relevant to LA conditions. Further investigation revealed that lactate enhanced K. pneumoniae virulence in a murine model. Consistent with other studies25,27,43, our results suggest that lactate enhanced the virulence of K. pneumoniae by increasing CPS biosynthesis.

Transcriptomic analysis identified significant downregulation of man-PTS EII in K. pneumoniae exposed to lactate, shedding light on a regulatory mechanism. The PTS system, traditionally associated with carbohydrate transport, also plays a significant role in regulating downstream genes expression. In line with previous studies33, we found that deletions of man-PTS EII in Kp9925 significantly enhanced the production of CPS. The phosphorylation status of PTS components has been shown to directly affect intracellular cAMP levels, which plays global regulation through the CRP35. In our study, we also observed that the lactate-induced downregulation of man-PTS EII reduced cAMP levels and consequently increased CPS production in K. pneumoniae. This mechanism aligns with previous findings by Ching-Ting Lin et al36, who demonstrated that cAMP reduction in glucose-rich environments similarly enhanced CPS biosynthesis. Our study linked the elevated blood lactate levels with CPS production via PTS-CRP axis, identifying the regulatory pathway of lactate enhancing virulence of K. pneumoniae.

A limitation of our study is the inability to measure lactate concentrations in abscess samples from our patient cohort, owning to the retrospective nature of the study. Future research should confirm elevated lactate levels in abscess sample from patients with IKPLAS. Collectively, our results suggest that managing lactate levels may be a critical strategy in reducing mortality rates associated with these invasive infections.

In conclusion, we have demonstrated that lactate promoted the CPS biosynthesis in K. pneumoniae isolates, which may be a driver for the progression of IKPLAS. These findings carry important clinical implications, as elevated lactate levels are well-established predictors of poor outcomes in sepsis and other critical illnesses. However, lactate’s role in driving bacterial virulence has been largely overlooked. Our study highlights lactate as a key signaling molecule in K. pneumoniae pathogenicity and suggests that targeting lactate levels may represent novel therapeutic strategy to improve patients’ outcomes in IKPLAS cases.

Methods

Ethics statement

All of our research complies with the relevant ethical regulations. All participants or their legal guardians have provided written informed consent for the use of strains and data for this present study. All patients and data included in the study were anonymized. This study was approved by the Ethics Committee of Renji Hospital, School of Medicine, Shanghai Jiaotong University (LY2024-295-B).

All animal procedures were performed in accordance with the laboratory animal care and use guidelines of the Chinese Association for Laboratory Animal Sciences (CALAS). Approval was obtained from the Ethics Committee of Shanghai Yishang Biotechnology Co (YS-JL-001). Specific pathogen-free (SPF) female BALB/c mice (6 to 8 weeks old) were obtained from Shanghai JieSiJie Laboratory Animals Co. Mice were housed at 19–26 °C at a humidity of 40–70% and with a light/dark cycle of 12 h/12 h in-house under SPF conditions with access to autoclaved food, water, and corncob bedding. Cage changes were performed in a laminar flow hood, accommodating 2–3 mice per cage. Age- and littermate-matched mice were randomly assigned into treatment groups in each experiment. Female mice were used as they are more gentle and less difficult to handle.

Clinical data collection and analysis

From January 2016 to December 2023, a total of 68 patients diagnosed with LA caused by K. pneumoniae were enrolled in the study. Clinical data were extracted from electronic medical records and thoroughly reviewed. Based on whether or not they had extrahepatic invasive infections, patients were divided into IKPLAS and KPLA groups. We compared the two groups in terms of demographics, underlying conditions, laboratory test results, abscess size and location, medical history, number of punctures, and length of hospital stay. Additionally, we assessed the risk factors for IKPLAS using both univariate and multivariate logistic regression analyses.

Isolate collection and antimicrobial susceptibility testing

A total of 68 non-repetitive K. pneumoniae isolates were collected from 68 patients with LA caused by K. pneumoniae. Of these, 60 isolates were derived from pus samples and 8 from blood cultures. When both pus and blood cultures from the same patient yielded K. pneumoniae isolates, the isolate isolated from the pus sample was preferentially selected for further analysis. Bacterial identification was confirmed using matrix-assisted laser desorption ionization–time of flight mass spectrometry (bioMérieux VITEK MS).

Antimicrobial susceptibility to 14 commonly used antibiotics was evaluated using the broth microdilution method and interpreted based on Clinical and Laboratory Standards Institute (CLSI) guidelines (M100-ED31)44. Escherichia coli ATCC 25922 and E. coli ATCC 35218 were tested as the quality control strains.

HMV phenotype, capsule extraction and uronic acid quantification

The HMV phenotype was evaluated using the string test as previously described45. A positive string test was defined by the formation of viscous strings greater than 5 mm in length when a loop was used to stretch the colony on an agar plate. Additionally, the HMV phenotype was quantified using a low-speed centrifugation assay46. Briefly, K. pneumoniae strains were cultured overnight in 3 ml LB broth at 37 °C. Next, 1 ml of culture was centrifuged for 5 minutes at 1000 × g, and the optical density at 600 nm (OD600) of the supernatant was measured. Final readings were normalized to the OD600 of the input culture before centrifugation. At least three biological replicates were prepared for each isolate.

CPS quantification was performed as previously described with minor modification44. Briefly, 500 μl overnight samples were mixed with 1% Zwittergent 3–14 detergent (Merck, catalog number 693017) in 100 mM citric acid (Sangon Biotech, catalog number A610055), and incubated overnight at 50 °C. Uronic acid was then precipitated using ethanol, incubated with sodium tetraborate/sulfuric acid (tetraborate, Sigma-Aldrich, catalog number 221732; sulfuric acid, Sinopharm Chemical Reagent, catalog number 10021608) and boiled for 5 min. Following this, 3-hydroxydi phenol (Sigma-Aldrich, catalog number 262250) was added. The absorbance at 520 nm was measured, and uronic acid were calculated using a standard curve of glucuronic acid. CPS quantification is expressed as microgram per 109 colony forming units (CFU).

Whole-genome sequencing and bioinformatics analysis

Genomic DNA was extracted and purified using the TIANamp Bacterial DNA Kit (TIANGEN Biotech, catalog number DP302) and subsequently sequenced on the HiSeq X Ten PE150 sequencer platform (Illumina, USA), as previously described47.

Quality control of the reads was performed using the quality control option in CLC Genomics Workbench 12.0 (QIAGEN, Aarhus, Denmark), and the raw data were filtered prior to assembly. Sequences containing more than 10% ambiguous N bases or shorter than 30 bp were removed. De novo assembly of the filtered data was conducted in CLC Genomics Workbench using the default settings. The generated de novo assembled contigs were then subjected to BLAST searches against the drug resistance gene database and the virulence factors database to identify resistance and virulence gene profiles. STs, capsular serotyping, virulence and resistance genes were determined using Kleborate24. The presence of ybt encoding yersiniabactin, clb encoding colibactin and iuc encoding aerobactin are used to assign a virulence score, while Extended-Spectrum β-Lactamases (ESBLs), carbapenemase and colistin resistance are used to calculate resistance scores as follows previously describe24.

Phylogenetic analysis

We compared the 68 genomes sequenced in this study with 49 published genomes of K. pneumoniae isolated from LA, retrieved from the SRA database. SNP calling and phylogenetic analysis were performed using CLC Genomics Workbench 12.0 with default settings. The NTUH-K2044 genome (GCF_000009885.1) served as the reference for read mapping. A maximum likelihood tree was constructed in CLC Genomics Workbench 12.0 using the General Time Reversible (GTR) model of nucleotide substitution, incorporating among-site rate heterogeneity across four categories (GTR + Γ). The tree was then annotated using ChiPlot48.

Quantitative RT-PCR

Total RNA from the bacteria was extracted using the RNeasy® Mini Kit (Qiagen, catalog number 74104) following the manufacturer’s instructions. The purity and concentration of the RNA were assessed with a NanoDrop spectrophotometer (Thermo Scientific). A total of 1 μg RNA was reverse-transcribed into complementary DNA using the PrimeScript RT reagent Kit with gDNA Eraser (Takara, catalog number RR047Q). Real-time PCR was conducted using the 7500 real-time PCR system (Applied Biosystems). Transcription expression of galf, wzi, manC, gfrA, gfrB, gfrC and gfrD were detected. Each reaction was performed in triplicate, and gene expression levels were calculated by the 2−ΔΔCT method using 23S rRNA as a reference. Primers for quantitative RT-PCR are listed in Supplementary Data files.

Macrophage phagocytosis assay

The phagocytosis assay was performed using the mouse macrophage cell line RAW 264.7 (ATCC catalog number TIB-71), as previously described33. Briefly, bacteria cultured in LB and Lac-LB were washed three times with phosphate-buffered saline (PBS) and used to infect cells at a multiplicity of infection (MOI) of 50 for 1 h. Notably, lactate was not included in the bacterial and cell culture mixture during the infection process. After infection, cells were washed three times with PBS to remove bacteria. 300 μg/ml hygromycin (Sangon Biotech, catalog number A600230) was used for 1 h to eliminate extracellular bacteria as previously described49,50. Subsequently, the cells were washed three times with 1 × PBS, and treated with 1 ml of 0.25% TritonX-100 (Sangon Biotech, catalog number A110694) for 30 minutes to release the intracellular bacteria. The input and intracellular bacteria were counted by serial dilution and agar plating. The bacterial endocytosis rate was calculated as the ratio of intracellular bacteria CFU to the input bacteria CFU.

Serum resistance assay

Serum resistance activity was measured as previously described, with minor modifications51. Bacterial suspensions containing 106 CFU/ml were collected from mid-log phase cultures, mixed at a 1:3 (vol/vol) ratios with pooled healthy people serum and incubated at 37 °C. Colony counts were obtained for the initial mixture and after 2 h of incubation using the serial dilution method. The survival was expressed as the ratio of CFU counts after 2 h of incubation to the initial CFU count.

Mouse models

Mice LA model was performed as previously described52. K. pneumoniae was cultured overnight in LB broth, diluted 1:100 into fresh LB or Lac-LB and allowed to grow to the logarithmic phase. After centrifugation at 12,000 ×  g for 5 minutes, the bacteria were washed and resuspended in 1× PBS. To assess survival, mice were intraperitoneally injected with 1 × 104 CFU K. pneumoniae and monitored for up to three days post-injection. For tissue CFU counting, mice were intraperitoneally injected with 5 × 10³ CFU K. pneumoniae. Two days after infection, the mice were euthanized, and the liver, spleen, kidney, lung and blood were collected for further analysis. The number of mice used in each experiment is indicated in the figure legends. No mice or data points were excluded from the analyses.

Analysis of the bacterial burden

We used serial dilution and agar plating to perform tissue bacteria loads. Briefly, tissue samples were weighed and collected in 2 ml Eppendorf tubes containing pre-cooled PBS. The samples were homogenized for 2 minutes using a grinder, followed by serial dilution and plating on LB agar plates. The colony was counted and calculated as CFU per gram of tissue.

Histopathological analysis

Formalin-fixed, paraffin-embedded liver tissue segments were processed for hematoxylin and eosin (H&E) staining and myeloperoxidase (MPO) staining. H&E staining was used to evaluate liver abscess formation and necrosis, while MPO staining, with the commercial MPO antibody (Abcam, catalog number ab208670, 1:1000), was employed as a marker for neutrophil influx, as MPO is predominantly expressed by polymorphonuclear leukocytes (PMNs). Slides were independently examined by a histopathologist who was blinded to the treatment conditions. Two tissue sections from each sample were scored on a scale of 0 to 3, and the cumulative lesion score was calculated as the sum of these individual scores. The Enhance-labeled polymer system (ELPS, EnVision, DAKO) was used to detect MPO expression.

Enzyme-linked immunosorbent assay (ELISA) assays

The ELISA assays for IL-6, TNF-α and IL-1β were performed by collecting the supernatant from K. pneumoniae-infected RAW 264.7 cells after 1 h of infection, followed by an additional 23 h of incubation. Serum samples from mice infected with K. pneumoniae were also collected and used for ELISA assays. The assays were conducted according to the manufacturer’s instructions using the following ELISA kits: Mouse IL-6 ELISA (Absin, catalog number abs520004-96T), Mouse TNF-α ELISA (Absin, catalog number abs520010-96T) and Mouse IL-1β ELISA kit (Absin, catalog number abs520001-96T).

RNA sequencing

RNA sequencing was conducted in triplicate to investigate the regulatory mechanism of lactate on CPS. Kp9925 cultured in LB and Lac-LB were grown to an OD600 of 0.6. Total RNA was extracted and purified using the RNeasy® Mini Kit (Qiagen, catalog number 74104) and subjected to 150 bp paired-end sequencing on the Illumina NovaSeq platform. The Majorbio Cloud Platform (www.majorbio.com) was used for data analysis53. Raw data were filtered using SeqPrep v1.2 (available at https://github.com/jstjohn/SeqPrep) and Sickle v1.33 (available at https://github.com/najoshi/sickle) with default settings. High-quality reads from each sample were aligned to the reference assemblies of Kp9925 using Bowtie 2 v2.5.2 with default parameters54. Quantitative analysis of gene expression was performed using RSEM v1.3.355 and standardized by transcripts per million (TPM). Differential gene expression analysis was conducted using the DESeq2 v3.1856 package. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyse was employed to identify enriched functions and pathways of differentially expressed genes (DEGs). KEGG pathways were assessed for statistical significance using Fisher’s exact test with Goatools v1.3.157 and KOBAS 2.058. The false discovery rate (FDR) correction, implemented by the Benjamini-Hochberg (BH) method, was performed to minimize Type I errors.

Deletion clones and complementation

The Kp9925∆man-PTS EII (∆gfrA-D), ∆crp and ∆cps (∆wcaJ) mutants were constructed using homologous recombination, as previously described59. Briefly, two DNA fragments, each ~500 bp long and flanking the target deletion region, were cloned into the pCONJ6H vector, which contains a counter-selectable marker (sacB gene) and a hygromycin resistance gene, via gibson. This resulting plasmid was then mobilized from E. coli MFDpir to Kp9925 via conjugation. Transconjugants, where the plasmid integrated into the chromosome through homologous recombination, were selected on LB agar plates containing 300 μg/ml hygromycin. Several colonies were subsequently cultured in LB broth supplemented with 300 μg/ml of hygromycin until reaching the log phase at 37 °C. Afterward, these cultures were spread onto LB agar plates containing 10% sucrose for further selection. The deletion of the genes was confirmed using PCR and sequencing.

For the complementation of the deletion mutants, the man-PTS EII, crp and wcaJ genes from Kp9925 were individually amplified and cloned into the pHSG396 vector (Takara). The recombinant plasmids were then introduced into the corresponding man-PTS EII, crp and wcaJ mutant strains by transformation. Mutants were selected on LB agar plates containing chloramphenicol. Gene expression was driven by the promoter included in the pHSG396 vector.

Detection of cAMP

The detection of cAMP was performed as previously described60. Breifly, bacterial suspension was adjusted to 1 × 109 CFU/ml and washed twice in PBS. Then, the bacteria were resuspended in 300 μl 1X lysis buffer and lysated by sonication. The lysate was centrifuged briefly at 12,000 × g for 10 min, and the supernatant was tested for cAMP levels by using cAMP Assay (USA R&D Systems, Inc. catalog number KGE002B) according to manufacturer’s recommendations.

Statistics

Statistical analysis was performed using SPSS 26.0 (IBM Corp., Armonk, NY, USA). Continuous data were compared using the independent-samples t-test while the chi-square test was used to compare categorical data. Univariate analysis was used in risk factor evaluation for each variable. Variables with a P value of less than 0.05 were added in the multivariate logistic regression model to identify the risk factors associated with IKPLAS. Analyses of three or more groups were performed using one-way ANOVA. Survival curves were analysed by log-rank test. A two-sided P value of < 0.05 was considered statistically significant.

Reporting summary

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