Biology subjects

Elovitz, M.

Publications and source records attributed to Elovitz, M..

4 recordsLinked to original sources

bioRxiv2026

Exposure to Antibiotics Modifies the Immune Profiles of Bacterial Extracellular Vesicles from Common Vaginal Anaerobes

BackgroundThe female lower reproductive tract harbors a complex microbiome that plays a critical role in reproductive health. A vaginal microbiome dominated by Lactobacillus crispatus (LC; Community State Type (CST) I) supports vaginal health, whereas a microbiome enriched with anaerobic species, such as Gardnerella vaginalis (GV) and Mobiluncus mulieris (MM) (CST IV) is linked to bacterial vaginosis (BV) and adverse outcomes, including sexually transmitted infections, infertility, and preterm birth. Although antibiotics such as metronidazole and clindamycin are commonly prescribed to treat BV, recurrence rates remain high, and the impact of these treatments on bacterial extracellular vesicles (bEVs), critical mediators of host-microbe interactions, is poorly understood. ResultWe investigated how antibiotic treatment at a dose below minimum inhibitory concentration alters the production and immunomodulatory function of bEVs derived from GV, MM, and LC. Using nanoparticle tracking analysis, cytokine profiling, and TLR pathway analyses, we found that antibiotic treatment significantly enhanced the inflammatory properties of bEVs in a species- and antibiotic-specific manner. Notably, bEVs from antibiotic-exposed GV and MM cultures induced elevated cytokine responses in epithelial and immune cells, primarily through TLR2 activation for GV bEVs, and through both TLR2 and TLR5 activation for MM bEVs. While LC bEVs are typically non-inflammatory, exposure to metronidazole, even at a lower dose than what is used clinically, rendered them immunostimulatory, suggesting a potential unintended proinflammatory consequence of treatment on beneficial microbes. We also detected bEVs in human vaginal swabs, including vaginolysin-positive bEVs, even in CST I microbiomes, indicating that low-abundance microbes, including pathogens, remain transcriptionally active. ConclusionsThese findings suggest that antibiotics not only reduce microbial load but also reshape bacterial communication via bEVs, potentially contributing to inflammation, epithelial barrier disruption, persistent dysbiosis, and recurrent infections. This work underscores the need for precision antimicrobial strategies that eliminate pathogens while preserving beneficial bacteria and their functional bEVs. Future therapies may benefit from considering the ecosystem-wide effects of antibiotics on the vaginal microbiome and its bEV-mediated signaling network.

microbiology↗

bioRxiv2025

Abnormal pro-inflammatory immune cell responses precede clinical onset of hypertensive disorders of pregnancy

BackgroundHypertensive disorders of pregnancy (HDP) are significant contributors to maternal morbidity and mortality as well as to long-term cardiovascular health, with an inequitable burden among Black individuals. While there is growing interest in the possibility that inflammatory responses are involved with HDP, work to date has primarily been cross-sectional, and immune cell profiling has focused on cell phenotyping that may not capture relevant functional properties of the immune cells. ObjectiveTo examine whether an inflammatory cellular response is found in the blood of pregnant women preceding the clinical onset of HDP. Study designThis nested case-control study included 27 pregnant women who later developed HDP and 73 who had a healthy pregnancy delivered at term, all of whom provided blood samples during the second trimester. ResultsWe observed a greater abundance of peripheral blood T cells in individuals later diagnosed with HDP. Among these were CD161+ CD4 T cells that showed increased expression of pro-inflammatory cytokines, including GM-CSF and TNF. Similarly, monocytes from these individuals exhibited increased expression of pro-inflammatory cytokines. Anti-inflammatory T cells and monocytes were not altered in those with versus without a future diagnosis of HDP. ConclusionWe identify a pro-inflammatory cellular immune signature in pregnant individuals destined to have HDP. Immune signatures may serve as a new biomarker to identify subsets of individuals at particular risk for HDP and/or point to new therapeutic targets to prevent HDP.

immunology↗

bioRxiv2025

VIRGO2: Unveiling the Functional and Ecological Complexity of the Vaginal Microbiome with an Enhanced Non-Redundant Gene Catalog

Despite the importance of the cervicovaginal microbiome, the mechanisms that govern its composition and drive its impact on host physiology remain poorly understood. This study expands our understanding of the function and ecology of the vaginal microbiome using VIRGO2, an enhanced non-redundant gene catalog comprising over 1.7 million well-annotated genes from body-site specific microbes and viruses. Analyses using VIRGO2 revealed novel insights, including the identification of previously uncharacterized vaginal bacteria, features of the vaginal mycobiome and phageome, and differential expression of bacterial carbohydrate catabolic genes. Constructed from over 2,500 metagenomes and 4,000 bacterial genomes, VIRGO2 broadens geographic representation and microbial diversity compared to its predecessor. This updated catalog enables more precise profiling of taxonomic and functional composition from metagenomic and metatranscriptomic datasets. VIRGO2 is a critical resource for integrative analyses of vaginal microbial communities and their interactions with host tissues, thereby enhancing our mechanistic understanding of vaginal health and disease.

microbiology↗

bioRxiv2021

Preterm birth is associated with xenobiotics and predicted by the vaginal metabolome

Spontaneous preterm birth (sPTB) is a leading cause of maternal and neonatal morbidity and mortality, yet both its prevention and early risk stratification are limited. The vaginal microbiome has been associated with PTB risk, possibly via metabolic or other interactions with its host. Here, we performed untargeted metabolomics on 232 vaginal samples, in which we have previously profiled the microbiota using 16S rRNA gene sequencing. Samples were collected at 20-24 weeks of gestation from women with singleton pregnancies, of which 80 delivered spontaneously before 37 weeks of gestation. We find that the vaginal metabolome correlates with the microbiome and separates into six clusters, three of which are associated with spontaneous preterm birth (sPTB) in Black women. Furthermore, while we identify five metabolites that associate with sPTB, another five associate with sPTB only when stratifying by race. We identify multiple microbial correlations with metabolites associated with sPTB, including intriguing correlations between vaginal bacteria that are considered sub-optimal and metabolites that were enriched in women who delivered at term. We propose that several sPTB-associated metabolites may be exogenous, and investigate another using metabolic models. Notably, we use machine learning models to predict sPTB risk using metabolite levels, weeks to months in advance, with high accuracy. We show that these predictions are more accurate than microbiome-based and maternal covariates-based models. Altogether, our results demonstrate the potential of vaginal metabolites as early biomarkers of sPTB and highlight exogenous exposures as potential risk factors for prematurity.

systems biology↗