Frontiers in Cellular and Infection Microbiology

Despite increased recognition of the diverse resident microbiome of the urinary tract (i.e., the urobiome) in postmenopausal women, the roles and functions of these microbes remain largely unknown. Further empirical research is needed to understand the physiology, interactions, and antibiotic resistance evolution of urobiome members with pathogenic potential. However, experimental work relies on viable, culturable isolates. Standard urine culturing practices are designed for identifying a narrow set of known urinary microbes, and are thus poorly suited for cultivating taxa from the resident urobiome. Here we expand the urine culturing toolkit to reliably recover diverse urobiome taxa for downstream empirical research. Urine samples collected from postmenopausal women with recurrent urinary tract infections were shipped at ambient temperature to a central point for culturing. Microbial viability was maintained using boric acid preservative tubes during multi-day transport of sample aliquots. Selective media incubated under specialized conditions were used to promote recovery of diverse urobiome members, including fastidious taxa. Under 5% CO2 -enriched atmospheric conditions and with longer incubation times, we leveraged a chromogenic agar (UTIC) to further differentiate isolates based on colony color and morphology. We evaluated the workflow for its ability to isolate and characterize urobiome taxa, as determined by morphological differentiation and taxonomic identification. Across 108 urine samples, 6.3 {+/-} 3.2 distinct isolates were recovered, with no detectable relationship between sample shipment duration and isolate richness. On chromogenic agar, colony growth and color intensity was improved with CO2 -enriched atmospheric conditions and extended incubation times. We identified diverse taxa that are typically underrepresented in standard diagnostic culture and provide novel morphological characterizations for members of the genera Actinotignum, Aerococcus, Facklamia, Lactobacillus, Latilactobacillus, Limosilactobacillus, and Streptococcus species, which have not been previously described on UTIC chromogenic agar. Using this novel workflow, we recovered a diverse collection of urobiome isolates from urine samples shipped over multiple days. We also demonstrated the utility of a chromogenic agar for the visual differentiation of key urobiome taxa. While sequencing approaches have enhanced our understanding of urobiome composition, culturing is needed to investigate microbial interactions, virulence mechanisms, and antimicrobial susceptibility. This protocol adds to the growing toolkit for the cultivation of diverse urobiome isolates needed to support downstream empirical studies and advance urinary tract infection research.

Obligate endosymbionts relying on transovarial transmission must coordinate with host reproduction, yet the regulatory mechanisms remain poorly understood. Here we show that the vitellogenesis pathway of the tick Ixodes scapularis regulates the transcriptional state of its endosymbiont Rickettsia buchneri (Rb), separately from its abundance. In males, Rb DNA remained detectable, but bacterial transcription was strongly reduced across all examined genes, with markedly lower RNA/DNA ratios. In females, Rb was restricted to ovarian tissues (developing oocytes and interstitial cells), with no detection in salivary glands or midgut by TEM, FISH, or PCR. After blood feeding, Rb density within size-matched early-stage oocytes was significantly reduced. We further characterized two gene families mediating vitellogenesis: vitellogenin synthesis genes (Vgs, n = 20) and vitellogenin receptor genes (Vgr, n = 15). Vgs proteins showed conserved domain organization, whereas Vgr paralogs showed greater structural diversification. RNAi silencing of Vgs20 or Vgr12 altered Rb transcriptional profiles in both tick cells and ticks, although changes in bacterial load were not consistent between the two systems. Antibiotic depletion of Rb increased expression of both host genes. Together, these findings show that tick vitellogenesis pathways contribute to Rb regulation during reproduction and identify the I. scapularis-Rb system as a useful model for studying host control of obligate endosymbionts. IMPORTANCEMaternally inherited bacterial symbionts are commonly characterized by bacterial abundance. This study shows that bacterial abundance alone does not necessarily reflect symbiont functional state. In the blacklegged tick, the inherited symbiont Rickettsia buchneri persists in males but exhibits little transcriptional activity. In females, the host reproductive pathway determines whether the symbiont is active: silencing one component of this pathway changed bacterial gene expression without changing bacterial abundance. Hosts therefore regulate not only the abundance of inherited symbionts, but also their functional state. The same bacterial abundance can correspond to very different functional states. Understanding inherited symbioses therefore requires considering bacterial function alongside bacterial abundance.

Scrub typhus, caused by Orientia tsutsugamushi, is an obligate intracellular gram-negative pathogen that remains a cause of acute febrile illness in India. Culture isolation of Orientia tsutsugamushi clinical isolates is infrequent because it is technically more challenging than PCR-based molecular identification. In this report, we describe the culture isolation of Orientia from the whole blood of a 64-year-old farmer with acute febrile illness. Whole blood was inoculated onto an 80% confluent L929 cell line. Real-time PCR targeting the 47-kDa and 56-kDa genes, combined with Sanger sequencing, confirmed the isolate. Transmission electron microscopy of infected L929 cells revealed multiple oval-shaped bacteria within the host cytoplasm. Confocal microscopy demonstrated progressive accumulation of CFSE-labelled bacteria within infected cells over time. These findings support the successful isolation and visualization of a blood-derived O. tsutsugamushi isolate and provide a platform for downstream assays of host-pathogen interactions, antimicrobial susceptibility testing, and vaccine development.

The Gram negative bacteria Chlamydia trachomatis (Ct), an obligate intracellular human pathogen, is a predominant cause of sexually transmitted infections and ocular trachoma globally, exerting a significant impact on public health. Ct "strains" (major lineages within the species) are known to have different tissue tropisms and be associated with different disease outcomes. Metagenome samples from typical sites where Ct infects (e.g., endocervix, conjunctiva, rectum) rarely contain enough reads for traditional genotyping methods such as Multi-Locus Sequence Typing (MLST) or ompA genotyping. To overcome these limitations, we implemented an ensemble tool called MetaChlam that can accurately classify Ct strains with as few as 250 Ct reads. Using 109 publicly available Ct genomes from naturally circulating strains, we established that an ANI-based threshold of 99.75% was capable of distinguishing Ct strains from each other. We implemented metagenome-based typing using the previously developed LINtax, Strainscan, StrainGE, and Sourmash softwares. MetaChlam integrated the four tools along with custom databases into an automated nextflow pipeline. Using simulated metagenomic reads, we found that our pipeline accurately identified the correct strains in both single strain and multi-strain mixtures of samples. Finally, we showed that MetaChlam had higher specificity for the true presence of Ct reads in NCBI SRA metagenomic datasets than NCBI PebbleScout software. A surprising finding of these analyses was that reads from Ct, an obligate human intracellular pathogen, can be found as contaminants in samples from sites where the organism is almost certainly not present. Overall, our study enhances the characterization and classification of Ct strains and provides protocols for identification and typing of Ct in shotgun metagenome data. The MetaChlam pipeline is available on Github: https://github.com/parul-sharma/MetaChlam.

BackgroundThe ecological dynamics between Trypanosoma parasites and their wild mammalian hosts, such as bats and armadillos, are complex. Recent 18S rRNA metabarcoding studies have reported extraordinary levels of hidden parasite diversity and frequent multi-lineage coinfections within individual wild hosts. However, the boundary between genuine biological coinfection and methodological artifact remains difficult to establish. Based on Gauses principle of competitive exclusion, the mammalian bloodstream represents a highly constrained niche where stable coexistence of identical ecological competitors is theoretically rare. We hypothesize that previously reported hyper-diverse Trypanosoma coinfections are largely bioinformatic artifacts, and that true intra-host dynamics instead favor single-lineage dominance. MethodsTo test this hypothesis, we sequenced samples from 27 wild armadillos (Dasypus novemcinctus) and 26 bats from Ecuador. The 18S rRNA gene was amplified via nested PCR and sequenced using an Oxford Nanopore Technologies MinION platform. We developed a progressively stringent bioinformatics pipeline to evaluate coinfection hypotheses. Raw reads were processed through three alignment scenarios: Lenient, Moderate, and Conservative. These scenarios modulate sequence identity, mapping quality (MAPQ), and coverage thresholds to effectively isolate true biological signals from alignment ambiguity. ResultsUnder lenient alignment parameters, the resulting profiles mirrored previous literature, exhibiting massive apparent intra-host multi-lineage diversity. However, as bioinformatic stringency increased to conservative thresholds ([≥] 98% sequence identity, [≥] 99% coverage, and MAPQ [≥] 30), artifactual pseudo-coinfections collapsed. The highly restricted dataset demonstrated overwhelming single-lineage dominance, validating only three active mixed infections out of the retained samples. Furthermore, our rigorous pipeline isolated rare but genuine biological signals, including the detection of Trypanosoma cruzi marinkellei--historically considered a bat-restricted subgenus--within the terrestrial armadillo cohort. We also confirmed the presence of T. cruzi DTU III (TcIII) in Ecuadorian armadillos, representing a significant biogeographical record for the region. ConclusionsOnce methodological noise is computationally stripped away, active multi-strain Trypanosoma coinfections in the host bloodstream are revealed to be ecologically anomalous. Our findings strongly support the principle of competitive exclusion, suggesting established lineages actively suppress competitors. While Oxford Nanopore sequencing offers necessary resolution for wildlife parasitology, fine-tuning algorithmic parameters is critical to accurately represent host-parasite networks and prevent the artificial inflation of intra-host diversity metrics. Author summaryPrevious studies using DNA metabarcoding have reported that wild mammals, such as bats, frequently harbor complex communities of multiple Trypanosoma parasite lineages simultaneously. However, ecological principles suggest that identical competitors struggle to coexist stably within a constrained environment like the host bloodstream. To investigate whether these reported high coinfection rates reflect true biology or methodological artifacts, we sequenced the 18S rRNA gene of Trypanosoma from 26 bats and 27 armadillos in Ecuador. We processed the sequencing data through computational pipelines with progressively stricter filtering parameters. We observed that under lenient filtering, animals appeared to have highly diverse, mixed infections. Conversely, when strict parameters were applied to remove potential analytical noise, the artificial complexity collapsed, revealing that the vast majority of hosts were dominated by a single parasite lineage. We confirmed only three active mixed infections in our highly restricted dataset. Our findings indicate that active multi-strain Trypanosoma coinfections are rare, aligning with the principle of competitive exclusion. These results highlight the necessity of applying rigorous bioinformatic filters to accurately evaluate host-parasite interactions and avoid overestimating diversity metrics.

BACKGROUND Diagnosis of Tuberculosis (TB) from stool specimen using the Xpert MTB/RIF Ultra assay (Xpert-Ultra assay) is important to confirm diagnosis for presumptive TB patients who are unable to produce sputum. We evaluated diagnostic performance of the Xpert-Ultra assay in stool specimen among adult migrant population living in generalized HIV epidemic situation. METHODS A prospective, cross-sectional study was conducted at outpatient and inpatient departments of the Shoklo Malaria Research Unit (SMRU) clinics and Mae Tao Clinic (MTC) located in Thailand-Myanmar border area. Presumptive TB patients of any age who were registered between November 14, 2022, and May 23, 2023, were eligible for inclusion based on reported signs and symptoms and/or radiological findings. Using liquid MTB culture in sputum as reference standard, evaluation of diagnostic performance of the Xpert-Ultra assay in stool was performed, and it was also compared with performance of smear microscopy and Xpert-Ultra assay in sputum specimen. RESULTS Total 113 participants were included in the analysis; 9 (7.96 %) had human immunodeficiency virus (HIV) infection, and 31 (27.43%) had confirmed TB on culture results. Among these culture-confirmed TB cases, the sensitivity of Xpert-Ultra assay in stool specimen was 90.32 % (95% confidence interval [CI], 74.25% to 97.96%). Although the absolute difference in sensitivity of Xpert-Ultra assay in stool was 3.23 % lower than sputum (95% CI: -9.46 % to 3.00 %), there was no statistically significant difference between the two sample types. The specificity of Xpert-Ultra assay in stool specimen was 98.78% (95% CI, 93.39% to 99.97%) against culture-negative TB cases, giving an absolute difference of 1.22 % (95% CI, -1.16% to 3.59%) compared to sputum Xpert-Ultra assay. This method demonstrated that diagnostic performance was consistent with World Health Organization (WHO) target product profiles on low-complexity assays for detecting Mycobacterium tuberculosis (MTB). CONCLUSIONS The Xpert-Ultra assay in stool specimen can be considered as a potential, alternative method in diagnosis of presumptive pulmonary TB in adults when respiratory sample is difficult to collect.

Ticks are obligate hematophagous arthropods and feed exclusively on blood. As blood is nutrient-poor, ticks rely on bacterial endosymbionts to synthesise nutrients, yet the diversity and functional roles of these symbionts in Australian ticks remain largely uncharacterised. This is critical to address as these ticks are of high medical importance in Australia. In this study, shotgun metagenomic sequencing was performed on Bothriocroton concolor, Bothriocroton hydrosauri, Haemaphysalis longicornis and Ixodes holocyclus, enabling the recovery of six complete or partial metagenome-assembled genomes (MAGs). These comprised Coxiella-like endosymbionts (CLE), a facultative Rickettsia symbiont, and two Midichloria mitochondrii strains (Ixholo1 and Ixholo2). Functional annotation of these taxon-specific symbionts revealed the absence of virulence factors and the presence of B-vitamin and/or heme biosynthesis genes, indicative of nutritional mutualism, which is essential for tick hematophagy. The CLEs additionally harbour genes of the shikimate pathway, which modulate blood feeding in ticks by regulating serotonin biosynthesis. Furthermore, functional annotation and pangenomic analysis of Midichloria spp. found evidence that the genus may encompass multiple species, as well as the retention of genes potentially associated with an intramitochondrial lifestyle in M. mitochondrii Ixholo2. Tick microbiomes are dominated by non-pathogenic microorganisms, which are often overshadowed by pathogens. These include the endosymbionts, which can influence host biology and pathogen transmission, and are fundamental for the development of diagnostic tools and taxon-specific tick biocontrols.

Background: Faecal microbiota transplantation (FMT) is an effective treatment for recurrent Clostridioides difficile infections, yet the diversity of FMT formulations and delivery routes hampers comparisons across studies. Oral frozen capsules are widely used and current guidelines recommend storage at -80C for up to two years. Despite extensive use of FMT, data on the long-term persistence and maintenance of their microbial composition remains limited. Method: In this prospective study, we assessed the temporal stability of bacterial profiles in frozen FMT capsules derived from 48 donations of 10 healthy donors. Using metabarcoding, we longitudinally profiled one capsule per donation thawed within a month of production and after 3, 6, 12, and 24 months of storage. We used linear mixed effect models to evaluate changes in alpha diversity and community composition over time. Results: Species richness remained stable across all timepoints, whilst species evenness decreased slightly. Although changes in community composition were detectable, they were small and mostly affected low-abundance genera. Clinical efficacy, assessed in a subset of recipients, was not associated with storage duration. Conclusion: Our findings demonstrate that frozen FMT capsules preserve their bacterial community structure for at least two years of storage at -80C, supporting their suitability for long-term biobanking and standardised clinical or research use.

Leptospirosis is an infectious neglected zoonotic disease caused by pathogenic bacteria of the genus Leptospira. The genus comprises 43 pathogenic species, divided into two clades (P1 and P2), with the potential to cause disease on animals and humans. Despite the major impact of this disease on animal and human health, few quantitative real-time polymerase chain reaction (qPCR) assays have been validated to specifically detect all pathogenic Leptospira species, thwarting diagnosis and epidemiological studies. The gene encoding LipL32, the major leptospiral outer membrane protein, discriminates pathogenic P1 species from P2 and saprophytic. However, with the recent discovery of new species, the current lipL32-based qPCR assay cannot detect all classified P1 species. Furthermore, there are no currently validated molecular methods able to differentiate the presence of P1 and P2 species on clinical samples. Previous analyses have shown that the 23S ribosomal RNA gene displays considerable conservation in P1 and P2 species but sequence divergence in saprophytic species, a promising target for PCR-based detection and discrimination of those two clades. This study optimized and validated an improved lipL32- and 23S-based TaqMan qPCR assay using human and animal clinical samples. These newly optimized and developed assays resulted in a lower limit of detection and increased diagnostic sensitivity, resulting in the detection of all pathogenic species of the genus Leptospira currently described. These assays will improve the detection of leptospires from clinical and environmental samples, providing a valuable epidemiological and clinical tool to support One Health research on this important emerging disease.

BackgroundSevere dengue remains difficult to predict because patients with different clinical trajectories may present with overlapping features, and conventional severity classifications may not fully capture underlying biological heterogeneity. In this study, we applied an integrated clinical and proteomic endotyping approach to dissect dengue disease heterogeneity and identify molecular signatures associated with severity. MethodsPlasma proteomic profiles were analyzed together with detailed clinical, biochemical, hematological, coagulation, and immunological parameters from healthy controls and dengue patients classified according to WHO 2009 severity criteria. High-throughput proteomic analysis, unsupervised clustering, pathway enrichment, and machine-learning-based classification were used to identify dengue endotypes and define molecular features associated with predicted severe disease. ResultsIncreasing dengue severity was associated with progressive abnormalities in liver function, coagulation parameters, hematological indices, and inflammatory mediators, including IL-6, IL-15, HGF, and MUC-16. However, proteomic profiling revealed substantial overlap across conventional severity categories, indicating that clinical classification alone does not fully resolve dengue host-response heterogeneity. Integrated clinical-proteomic clustering identified distinct dengue endotypes, including a predicted severe endotype enriched for inflammatory, antiviral, and cytotoxic lymphocyte-associated pathways. This high-risk endotype was characterized by elevated IL-15, IFN-{gamma}, and granzymes, consistent with coordinated activation of cytotoxic lymphocyte-associated antiviral responses. Machine-learning analysis further showed that proteomic features were strong discriminators of this endotype, supporting their potential utility as biomarkers of severe host-response states. ConclusionIntegrated clinical-proteomic endotyping provides molecular resolution beyond conventional severity grading and identifies immune pathways associated with severe dengue. This framework may improve biological understanding of dengue progression and support future risk stratification and biomarker development.

The phylum Chlamydiota comprises obligate intracellular bacteria characterized by a highly conserved, biphasic developmental cycle. This cycle involves the transition between the infectious, metabolically quiescent elementary body (EB) and the non-infectious, replicative reticulate body (RB). While the morphological transitions of the developmental cycle are well-documented, the regulatory mechanisms governing these phenotypic shifts remain poorly understood. A primary candidate for this regulation is Euo, a conserved, phylum-specific helix-loop-helix transcription factor hypothesized to repress late-cycle genes and prevent premature differentiation. In this study, we employed CRISPR interference (CRISPRi) to knockdown euo expression in Chlamydia trachomatis to further elucidate its role in developmental regulation. Unexpectedly, euo knockdown did not significantly disrupt the primary developmental cycle; progression through RB replication, the formation of intermediate bodies (IBs), and the kinetics of late-gene expression remained largely comparable to wild-type. However, we observed a significant reduction in the production of infectious progeny. Detailed analysis revealed that while EBs were still produced and capable of entering host cells after knock down of euo, these EBs exhibited dysregulated gene expression during the germination phase of a new infection cycle. Consequently, these bacteria failed to establish a productive secondary infection. These results suggest that rather than acting as a developmental switch for differentiation during the initial infection, Euo is essential for the proper programming of EBs, ensuring transcriptional competence upon re-infection of a host cell.

In primary healthcare centers lacking advanced imaging, community-based active tuberculosis (TB) case finding often relies on basic symptom screening. This approach often misses cases and leads to the inefficient allocation of rapid molecular testing (RMT). We aimed to develop and internally validate a simple clinical triage scorecard to improve TB detection and guide RMT use in resource-constrained settings. We conducted a retrospective cross-sectional study of 15,137 adults ([&ge;]18 years) evaluated within the Zero TB Yogyakarta program (2020-2025). Participants with complete clinical assessments and confirmatory GeneXpert results were included. Using multivariable logistic regression, we identified independent clinical predictors, which were subsequently transformed into an integer-based point scorecard. Model performance was evaluated via discrimination and calibration, utilizing bootstrap resampling (1,000 iterations) for internal validation. Among the 15,137 participants, 251 (1.7%) were GeneXpert-positive. The final multivariable model identified eight independent predictors: age, male sex, body mass index, prolonged cough, hemoptysis, unexplained weight loss, TB contact history, and diabetes mellitus. The model demonstrated strong predictive accuracy, with an optimism-adjusted AUROC of 0.836 and good calibration. When translated to the integer scorecard and compared directly to standard national symptom screening, the scorecard performed (AUROC 0.81 vs. 0.73; p<0.001). At a high sensitivity cut off score of [&ge;] 0, the tool achieved 93.63% sensitivity and 41.33% specificity. This point-of-care clinical scorecard provides higher diagnostic accuracy than standard symptom screening algorithms. By offering flexible operational thresholds, it empowers local health programs to dynamically balance the urgency of case detection with available diagnostic capacity, optimizing GeneXpert allocation where advanced radiological imaging is unavailable.

Background & Aims: Fatigue is a central symptom of chronic liver disease (CLD), substantially impacting health-related quality of life (HRQoL). This study aimed to further understand CLD symptomatology, including fatigue, and its impact on HRQoL from a patient perspective. Methods: Abbott Global Assessment of Patients unmet needs (aGAP) was a multinational, cross-sectional survey in adults with compensated CLD in China, India and Mexico, conducted between July and November 2024. Adult participants who self-reported that they had physician-diagnosed CLD and were experiencing fatigue completed a quantitative survey to assess symptom burden and included three HRQoL patient-reported outcome (PRO) questionnaires (Patient-Reported Outcomes Measurement Information System [PROMIS]-29+2, Work Productivity and Activity Impairment - Specific Health Problem version 2.0 [WPAI: SHP], Multidimensional Fatigue Inventory [MFI]). Results: Overall, 505 participants (China: 200; Mexico: 105; India: 200) completed the study. Participants reported that their CLD-related fatigue sometimes, often or always affected their self-esteem/confidence (45.1%) and ability to maintain or acquire new employment (38.6%). Most participants reported moderate (51.3%) or serious (26.9%) fatigue, with 33.5% experiencing fatigue every day or almost every day. Many participants felt their social life was negatively impacted by their fatigue (47.3%) and that there were related financial difficulties (53.9%). Use of validated PRO tools demonstrated severe fatigue (MFI: overall mean [SD] 13.9 [3.4] general fatigue and 13.4 [3.6] physical fatigue) as well as substantial levels of work and activity impairment (WPAI: SHP overall mean [SD] 53.0 [26.4]) and high levels of anxiety, pain interference, depression and sleep interference (PROMIS T-scores [&ge;]54). Conclusions: Fatigue has a substantial impact on HRQoL among adults with CLD across several countries, highlighting a global unmet need for targeted interventions to effectively identify and manage the condition.

BackgroundEscherichia coli contamination of chicken eggs is an important food-safety concern, while antimicrobial-resistant E. coli may contribute to the dissemination of antimicrobial resistance through the food chain. However, information on egg-associated E. coli and its antimicrobial susceptibility in Natore District, Bangladesh, is limited. ObjectivesThis study aimed to determine the prevalence of E. coli in chicken eggs collected from commercial farms, markets and indigenous/backyard flocks in Natore District, identify the isolates based on cultural, morphological and biochemical characteristics, and assess their antimicrobial susceptibility. Materials and MethodsA total of 84 egg-shell swab samples, comprising 28 samples each from commercial farms, markets and indigenous chicken flocks, were collected from seven upazillas of Natore District between January and June 2023. Samples were cultured on selective and differential media, and presumptive isolates were confirmed by Gram staining, motility and biochemical tests. Antimicrobial susceptibility was determined using the Kirby-Bauer disc-diffusion method against seven antimicrobial agents. ResultsE. coli was detected in 56/84 (66.67%) egg samples. Prevalence was highest in indigenous eggs (22/28, 78.57%), followed by farm eggs (18/28, 64.28%) and market eggs (16/28, 57.14%). Among 22 confirmed isolates tested for antimicrobial susceptibility, resistance was highest to neomycin (90.91%) and erythromycin (86.36%), followed by oxytetracycline (77.27%), amoxicillin (68.18%), ciprofloxacin (63.63%), levofloxacin (59.09%) and doxycycline (36.36%). No isolate was sensitive to neomycin or erythromycin. ConclusionThe high prevalence of E. coli and substantial antimicrobial resistance among egg-associated isolates indicate an important food-safety and public-health concern. Improved hygienic egg handling, prudent antimicrobial use and continued antimicrobial-resistance surveillance are warranted throughout the poultry production and marketing chain.

Increased temperature is one of the first environmental cues encountered by bacteria upon entering a mammalian host. Here, we investigated the effects of temperature on the transcriptome and proteome of Escherichia marmotae and E. coli. Previous studies demonstrated that temperature affects motility in E. marmotae; therefore, we examined how temperature alters gene expression at 37 {degrees}C versus 28 {degrees}C and whether this response is conserved in E. coli. Strains were grown under static conditions at both temperatures, and gene expression and protein abundance were assessed by RNA transcriptome analysis and global proteomics. Temperature altered the expression of 111 genes (2.7%) in E. marmotae and 99 genes (2.5%) in E. coli (adjusted p < 0.05, [&ge;]2-fold change), with changes concentrated within specific functional pathways. In E. marmotae, flagellar and chemotaxis genes and operons involved in cellulose-dependent biofilm formation and nitrate respiration were markedly downregulated at 37 {degrees}C. In contrast, genes associated with fimbrial adhesion and immune evasion, including fimA/fimB, ompT, and prophage-associated loci, were upregulated. Proteomic analysis corroborated these trends, showing reduced flagellar and chemotaxis proteins and increased stress-adaptation and host-interaction proteins. E. coli showed a distinct response, with stronger enrichment of metabolic and amino-acid biosynthesis pathways and minimal changes in motility regulation. Together, these findings demonstrate that E. marmotae motility is temperature-dependent and may represent a mechanism for immune evasion within the host.

Tuberculosis (TB) is a life-threatening disease with heterogenous presentation. Approximately one-quarter of the global population is infected with Mycobacterium tuberculosis (Mtb), yet a much smaller fraction develops active TB disease. Host genetics, immune system function, and environmental factors have all been implicated in susceptibility to Mtb, yet no one factor fully explains TB heterogeneity. Strikingly, many of these same factors are linked to gut microbiome composition, which is intimately linked to systemic development of the immune system. Antibiotic treated mouse models suggest that increased gut microbiota diversity is protective against Mtb infection. In contrast, Helicobacter hepaticus colonization is correlated with exacerbated Mtb burden. However, antibiotics can have both microbial and nonmicrobial targets and studies to date have not deconvoluted these effects. Focused testing of specific microbiome members has been impossible without a gnotobiotic model for Mtb. Here, we develop the first gnotobiotic mouse model for Mtb infection and test how microbial diversity in the gut microbiome impacts host susceptibility to Mtb. Surprisingly, after intranasal challenge with Mtb, germ-free wild type mice had no difference in lung burden when compared to mice born with either a defined gut microbiome community (OMM-12) or a diverse, conventional microbiota. H. hepaticus gut colonization of OMM-12 and conventional mice also did not impact Mtb burden in the lungs in this controlled setting. H. hepaticus colonization of the gut did perturb lung immune responses associated with TB infection control. CD4+ T cells were decreased, CD8+ T cells were increased, and IL-6 production was decreased. While the gut microbiome may yet play a role in immune compromised mouse models or human disease, comparing drastically different gut microbiotas in gnotobiotically controlled C57BL/6 mice did not yield any evidence of alteration in Mtb lung burden. The hosts unique immune response to Mtb may in part make the pathogen resistant to immune disruption caused by gut microbiome changes.

Coxiella burnetii alternates morphologies to survive in two niches: the external environment and a degradative intracellular compartment. The small cell variant (SCV) is adapted for environmental persistence and transmission of Q fever to ruminants and humans. The large cell variant (LCV) is intracellular, and despite not being a major source of transmission, is infectious in vitro. When modeling infection, researchers typically apply a mixed population of these cell types as inocula. As this practice does not mimic natural infection, it may confound our understanding of early Q fever infection events. We separated SCV and LCV by density gradient centrifugation and compared their replication in primary murine macrophages and a fibroblast cell line. SCV inocula replicated more efficiently than LCVs in both host cell types. LCV replication was delayed for four days in macrophages compared with SCV inocula, which had completed logarithmic growth by that time point. We found no difference in pathogenic vacuole size, but there was a modest difference in their respective bacterial burdens. Interestingly, IL-6 and CXCL2 secretion was significantly elevated in LCV-infected macrophages as compared to SCV at 24 hours, suggesting a difference in the host response to each. This is the first study to demonstrate that C. burnetii developmental status influences the progression of infection.

BackgroundThe epidemiology of Klebsiella pneumoniae carbapenemase (KPC)-producing Pseudomonas aeruginosa is rapidly evolving in China. While blaKPC-2 remains the predominant KPC variant in P. aeruginosa, blaKPC-3 has rarely been documented in this pathogen. This study investigated the molecular epidemiology, resistance and virulence characteristics, and plasmid features of blaKPC-3-producing CRPA isolates collected from a tertiary hospital in eastern China. MethodsA total of 65 non-duplicate CRPA isolates collected in 2023 were subjected to whole-genome sequencing. Antimicrobial susceptibility testing, phylogenetic analysis, plasmid characterization, conjugation experiments, and virulence assays were performed. ResultsAmong the 65 CRPA isolates, 37 (56.9%) carried blaKPC-3. These blaKPC-3-positive isolates belonged to four sequence types (STs), including ST1076 (62.2%), ST463 (21.6%), ST646 (10.8%), and ST3393 (5.4%). To our knowledge, this is the first report of blaKPC-3 in P. aeruginosa ST463, ST646 and ST3393. All isolates exhibited extensive drug resistance, and 51.8% were resistant to ceftazidime-avibactam. Phylogenetic analysis indicated that blaKPC-3 dissemination was driven by both clonal expansion and horizontal transmission. Comparative genomic analysis identified three kinds of blaKPC-3 -carrying plasmid. A transferable IncP-2 megaplasmid was widely distributed among ST1076, ST646, and ST3393 isolates, whereas non-transferable IncP-10 plasmids were primarily restricted to ST463. The genetic environments and plasmid backbones of blaKPC-3 were highly conserved and closely related to those of blaKPC-2 and its variants, suggesting evolution from pre-existing blaKPC-2-associated plasmids. Virulence analysis demonstrated marked heterogeneity across lineages. ST463 isolates co-harbored exoU and exoS, exhibited enhanced biofilm formation and pyocyanin production, and caused significantly higher mortality in the G. mellonella infection model, indicating a hypervirulent phenotype. ConclusionsThe blaKPC-3 is becoming an increasingly important determinant of carbapenem resistance in P. aeruginosa in China. The IncP-2 megaplasmid and IncP-10 plasmid derived blaKPC-3 spread across multiple lineages. Continuous genomic surveillance and enhanced infection control measures are urgently needed to prevent its further prevalence in clinical settings.

Fluorescence microscopy is central to the study of bacterial cell biology, multicellular behaviours, and host-pathogen interactions. Bright, robust and photostable labelling is required for bacterial identification, sorting and quantitative analysis, driving continuous development of state-of-the-art labelling tools. Here, we developed a multicolor fluorescent cell labelling toolkit for Gram-negative bacteria carrying the attTn7 site, using the opportunistic human pathogen Pseudomonas aeruginosa as a model. Cell labelling is achieved by constitutive chromosomal expression of genes encoding a choice of four novel fluorescent proteins, mNeonGreen, mJuniper, mLychee and mScarlet-I3, codon-optimised for P. aeruginosa. These reporters provide bright, stable fluorescence with minimal photobleaching and excellent spectral separation during long-term imaging of single cells, macrocolonies and biofilms. Chromosomal expression of mNeonGreen yielded brighter and more homogeneous labelling than expression of the same construct from a plasmid. Importantly, dual-color labelling of macrocolonies uncovered previously unrecognised phenomena of collective motility when two isogenic swarming populations interact. Finally, we demonstrate the applicability of our constructs in biologically relevant host-pathogen contexts by imaging both live and fixed P. aeruginosa-infected human airway epithelial cells. This versatile cell labelling platform enables reliable bacterial identification, segmentation, tracking, and quantitative fluorescence imaging across spatial and temporal scales, and is readily adaptable to most other Gram-negative bacteria as the attTn7 integration site is well conserved.

Chronic kidney disease (CKD)-associated dysbiosis is well described after diagnosis, but whether microbial changes precede clinical recognition is unclear. We integrated insurance claims, fecal and oral 16S rRNA profiles, and clinical laboratory data from companion dogs. Among 140,025 dogs, lower gut microbial diversity was associated with incident CKD after adjustment for age, sex and body size. Prediagnostic samples showed reduced evenness-related diversity, modest community shifts and seven differentially abundant genera. A five-genus score was elevated more than two years before diagnosis, although it was derived and evaluated in the same cohort and was not intended as a predictive model. In a laboratory subset, microbial changes preceded the largest increases in blood urea nitrogen and creatinine. Paired oral-gut samples showed limited exploratory associations between periodontal-associated taxa and the gut score. These findings identify microbial features associated with future claims-defined canine CKD and support independent validation and mechanistic investigation.