Biology subjects

Batorsky, R.

Publications and source records attributed to Batorsky, R..

6 recordsLinked to original sources

bioRxiv2026

Colonic epithelial regeneration shapes susceptibility to Clostridioides difficile infection

Clostridioides difficile infection (CDI) susceptibility and severity are strongly associated with preexisting colonic inflammation. However, chronic inflammatory conditions such as cystic fibrosis rarely progress to symptomatic CDI despite high rates of C. difficile colonization, suggesting that inflammation alone is insufficient to explain disease vulnerability. Notably, populations relatively protected from symptomatic CDI exhibit impaired regenerative capacity within the colon epithelium. Here, we used single cell RNA sequencing of human colonoid monolayers to map markers of CDI susceptibility and severity to cell populations associated with inflammation and epithelial repair. We identified an inducible microfold-like (M-like) population that is largely absent from the healthy colon but emerges during inflammation and regeneration. These cells were enriched for markers of severe CDI, C. difficile toxin interaction genes, and elevated CCL20 and CFTR expression. Spatial imaging localized CCL20-producing cells to wound-like gaps in mock and CDI-treated colonoids, identifying a repair-associated niche active independent of infection. Following exposure to C. difficile, wound-healing transcription within the M-like lineage declined while tuft-like populations expanded and upregulated genes associated with immune cell recruitment. These findings demonstrate that epithelial regeneration shapes host CDI vulnerability. IMPORTANCEClostridioides difficile infection can lead to severe illness and death in vulnerable populations despite available treatments. Clinical signs of inflammation during active Clostridioides difficile infection are strongly associated with disease outcome, yet these responses primarily reflect tissue damage already underway, limiting opportunities to prevent progression. In contrast, conditions linked to severe disease, including inflammatory bowel disease and antibiotic exposure, are associated with colonic inflammation before infection or at the time of diagnosis, highlighting an opportunity for earlier identification of high-risk individuals. Using human colonoid single cell transcriptomics and spatial imaging, we identified a microfold-like cell population enriched for inflammatory mediators and Clostridioides difficile toxin interaction genes linked to severe disease. This population was active even in the absence of infection, suggesting that repair-associated populations within the inflamed colon may help identify susceptibility to severe CDI before clinical progression occurs.

microbiology↗

bioRxiv2026

Clostridioides difficile stimulates CCL20 expression in human colonoid monolayers in a transwell-based co-culture system that supports its anaerobic growth

The pathogenic bacterium Clostridioides difficile is a major cause of antibiotic-associated diarrheal disease. Treatment of the disease is challenging because antibiotics used for treatment may also perpetuate the conditions that contributed to initial susceptibility. Elucidating the mechanisms of C. difficile/intestinal epithelium interaction is needed to facilitate the development of new therapeutic options. The studies described in this communication demonstrate the development of a tissue culture system that supported the growth of C. difficile in co-culture with a model of the human intestinal epithelium produced from colonoids, organoids derived from human colonic biopsies. Epithelial cell responses to C. difficile included upregulation of CCL20, encoding a chemokine that was previously shown to be upregulated in response to C. difficile challenge. Additionally, bacteria associated with the monolayer in a non-toxin dependent manner. This system will support future investigation of epithelium/C. difficile interactions during CDI and identification of mechanisms that drive pathogenesis by C. difficile in the human intestine.

microbiology↗

bioRxiv2025

Comparative Machine Learning Analysis of Saliva and Plaque Microbiomes in Children with Type 1 Diabetes

BackgroundType 1 diabetes (T1D) is associated with microbial dysbiosis. While most research has focused on the gut microbiome, limited data address the role of the oral microbiome in T1D. The oral and gut microbiomes overlap substantially, and the oral cavity may influence the gut microbial composition. Saliva and dental plaque represent two distinct oral niches with unique microbial communities, but it remains unclear which better reflects systemic disease states such as T1D. This study compared the performance of salivary and plaque microbiomes in classifying pediatric T1D status. MethodsPaired saliva and plaque samples were collected from 46 children (23 with T1D and 23 healthy controls). Microbial DNA was extracted and sequenced to target the 16S rRNA gene. The data were processed via QIIME 2 for taxonomic classification and centered log-ratio transformation. Alpha diversity, microbial abundance, and clustering analyses were performed to compare the oral microbiome between the T1D and control groups. Random forest classifiers were used to evaluate and compare the predictive accuracy of saliva- and plaque-based models, both with and without clinical metadata. ResultsSaliva samples presented lower alpha diversity than plaque samples did but presented significantly greater bacterial loads and total microbial abundances. Saliva-based models outperformed plaque-based models, achieving a classification accuracy of 94.2% with or without clinical metadata, compared with 73.3% accuracy for plaque-based models. ROC curve analysis further supported this difference, with saliva models reaching an AUC of approximately 0.94 versus 0.75 for plaque, indicating superior discriminative performance. UMAP clustering revealed more distinct separation of the T1D and control groups in terms of the salivary profiles than in the plaque profiles. Feature importance analysis revealed both unique and shared taxa predictive of T1D in each niche. The incorporation of clinical and demographic metadata did not enhance model performance, underscoring the robustness and predictive strength of microbiome data alone. ConclusionThe salivary microbiome is a more effective biospecimen than dental plaque for detecting T1D-associated microbial profiles in children. It offers superior classification accuracy and greater sensitivity in distinguishing T1D status, supporting salivas potential as a noninvasive, scalable medium for future microbiome-based monitoring.

microbiology↗

bioRxiv2023

Hofbauer cells and fetal brain microglia share transcriptional profiles and responses to maternal diet-induced obesity

Maternal immune activation is associated with adverse offspring neurodevelopmental outcomes, many mediated by in utero microglial programming. As microglia remain inaccessible throughout development, identification of noninvasive biomarkers reflecting fetal brain microglial programming could permit screening and intervention. We used lineage tracing to demonstrate the shared ontogeny between fetal brain macrophages (microglia) and fetal placental macrophages (Hofbauer cells) in a mouse model of maternal diet-induced obesity, and single-cell RNA-seq to demonstrate shared transcriptional programs. Comparison with human datasets demonstrated conservation of placental resident macrophage signatures between mice and humans. Single-cell RNA-seq identified common alterations in fetal microglial and Hofbauer cell gene expression induced by maternal obesity, as well as sex differences in these alterations. We propose that Hofbauer cells, which are easily accessible at birth, provide novel insights into fetal brain microglial programs, and may facilitate the early identification of offspring vulnerable to neurodevelopmental disorders in the setting of maternal exposures.

developmental biology↗

bioRxiv2021

Single cell profiling of Hofbauer cells and fetal brain microglia reveals shared programs and functions

Maternal immune activation is associated with adverse offspring neurodevelopmental outcomes, many of which are mediated by in utero microglial programming. Microglia remain inaccessible at birth and throughout development, thus identification of noninvasive biomarkers that can reflect fetal brain microglial programming may permit screening and intervention during critical developmental windows. Here we used lineage tracing to demonstrate the shared ontogeny between fetal brain macrophages (microglia) and fetal placental macrophages (Hofbauer cells). Single-cell RNA sequencing of murine fetal brain and placental macrophages demonstrated shared transcriptional programs. Comparison with human datasets demonstrated that placental resident macrophage signatures are highly conserved between mice and humans. Single-cell RNA-seq identified sex differences in fetal microglial and Hofbauer cell programs, and robust differences between placenta-associated maternal macrophage/monocyte (PAMM) populations in the context of a male versus a female fetus. We propose that Hofbauer cells, which are easily accessible at birth, provide novel insights into fetal brain microglial programs, potentially facilitating the early identification of offspring most vulnerable to neurodevelopmental disorders.

developmental biology↗

bioRxiv2017

Chasing a moving target: Detection of mitochondrial heteroplasmy for clinical diagnostics

Clinical interpretation of human mitochondrial DNA (mtDNA) variants has been challenging for technical and biological reasons but the involvement of dysfunctional mitochondria in many diseases makes it imperative to have a validated assay for detecting pathogenic variants. We have tested several methods to identify those best suited to detect and confirm mtDNA variants. The choice of methods is dependent on the amount of DNA available for testing and the sensitivity required for detecting low-level heteroplasmies. There is a tradeoff between a polymerases ability to amplify small amounts of DNA and its ability to generate accurate sequence. We report a simple method to measure heteroplasmy levels of large deletions from NGS data alone without need for qPCR or other methods. Use of HapMap samples for standardization needs to be done with caution as most have novel heteroplasmic sites that have arisen during immortalization/cell culture processes. Different batches of DNA can have variable sequence. In contrast, we observed no de novo heteroplasmies in healthy mother-child pairs studied using blood or saliva though the frequency of pre-existing heteroplasmies often changed dramatically across generations. Long-read nanopore sequencing of individuals with two heteroplasmies suggested a random distribution of variants on single molecules but technical artifacts prevent certainty on this finding. Urine provides an additional readily accessible source of mtDNA that can be used for bone marrow transplant recipients whose saliva/blood mtDNA may be contaminated by the BMT donors mtDNA. We have characterized cells suspended in urine via expression profiling and shown them to be primarily mucosal cells that are independent of blood. Understanding the pitfalls of the various mtDNA sequencing methods allows development of reliable and accurate tests suitable for clinical diagnostics.\n\nAuthor SummaryMitochondrial DNA is important for many diseases but it is present at many copies per cell so is harder to check for mutations compared to nuclear DNA. We have studied mitochondrial DNA in different ways to see how it changes across generations and in different locations in the body. The tests need to be much more sensitive than nuclear DNA tests so that we can detect mutations down to 1%. We have shown that mitochondrial DNA changes when cell lines are used but saliva, blood and cells in the urine can all be used for testing. Cells in the urine originate as mucosal cells and are independent of blood. We developed a new method for analyzing large deletions that means sequencing data alone can be used for measuring the frequency of deletions. We also followed a family with two variable sites to better understand how mitochondrial DNA changes from mother to child. In some children, the variants stayed the same while, in others, variants disappeared.

genomics↗