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Biology subjects

Sidhu, G.

Publications and source records attributed to Sidhu, G..

5 recordsLinked to original sources

Colonization resistance against Clostridioides difficile is a graded, microbiota-intrinsic property of healthy human gut communities

Fecal microbiota transplantation cures approximately 90% of recurrent Clostridioides difficile infection, yet it remains unknown whether all healthy donor microbiota confer equivalent protection. We colonized germ-free C57BL/6 mice with stool microbiota from 30 healthy human donors and challenged them with C. difficile in the absence of antibiotic pretreatment. Donor microbiota conferred a spectrum of colonization resistance phenotypes: Resistant (no detectable colonization or toxin), Carrier (asymptomatic colonization with detectable toxin), Symptomatic (non-lethal diarrheal illness), and Susceptible (lethal infection). Of these, 8 conferred Resistant phenotypes, 12 Carrier, 6 mixed Resistant-Carrier outcomes, and 4 Symptomatic or Susceptible phenotypes. While 16S rRNA gene sequencing of donor stool did not distinguish phenotypes across any diversity or compositional metric tested, humanized mouse microbiomes exhibited clear phenotype-dependent differences after engraftment. Richness (observed amplicon sequence variants, Chao1) and diversity (Shannon and Faith's phylogenetic diversity) declined progressively from Resistant to Susceptible phenotypes, although substantial overlap was observed between groups. Differential abundance analysis identified taxa depleted across non-resistant phenotypes, including Lachnospiraceae taxa such as Hungatella and Sellimonas, and Bacteroides intestinalis. Shotgun metagenomics confirmed these associations and revealed coordinated depletion of biosynthetic and carbohydrate metabolism pathways in non-resistant phenotypes, consistent with broad loss of community metabolic capacity rather than loss of a single dominant function. These findings demonstrate colonization resistance is a graded, microbiota-associated ecological property, evident after host engraftment rather than being a binary trait encoded in donor stool. This has implications for donor screening in fecal microbiota transplantation and the rational design of microbiome-based therapeutics.

microbiology↗

A Bayesian approach for identifying similar transcript dynamics using curve registration

Changes in gene expression over time can provide valuable insights into developmental processes and responses to the environment. Differences in expression may be indicative of potential differences in regulation. Comparing transcript dynamics may help identify correspondences between developmental stages within and between species, differences in the timing of key events during development, and transcriptional response to treatments or perturbations. A straightforward comparison between the dynamics is, however, hindered by measurements that were taken at different time points and over different timescales. To address this, we developed a statistical approach that seeks the optimal alignment between two time series as a function of a temporal shift and stretch. We validated our approach using simulated data and applied it to several transcriptome datasets, including comparisons between different plant species. Our development facilitates knowledge transfer from model systems to less studied species, the identification of modules of co-regulated genes, and the discovery of condition-specific, temporally differentially-expressed genes. The method is provided freely available as an R package.

bioinformatics↗

TMEM170 family proteins are lipid scramblases that physically associate with bridge lipid transporters BLTP1/Csf1

Bulk lipid transport between organelles has been proposed to involve the partnership between bridge lipid transport proteins and membrane-embedded lipid scramblases. However, for almost all BLTPs, such physical association has not been fully described, and, in most cases, the identity of the scramblases is unknown. Here, we identify TMEM170 family proteins as endoplasmic reticulum lipid scramblases that physically interact with BLTP1/Csf1 proteins. This finding opens new avenues to understand the complex mechanism involved in lipid transport at membrane contact sites.

cell biology↗

Alzheimer's disease associated isoforms of human CD33 distinctively modulate microglial cell responses in 5XFAD mice

Microglia play diverse pathophysiological roles in Alzheimers disease (AD), with genetic susceptibility factors skewing microglial cell function to influence AD risk. CD33 is an immunomodulatory receptor associated with AD susceptibility through a single nucleotide polymorphism that modulates mRNA splicing, skewing protein expression from a long protein isoform (CD33M) to a short isoform (CD33m). Understanding how human CD33 isoforms differentially impact microglial cell function in vivo has been challenging due to functional divergence of CD33 between mice and humans. We address this challenge by studying transgenic mice expressing either of the human CD33 isoforms crossed with the 5XFAD mouse model of amyloidosis and find that human CD33 isoforms have opposing effects on the response of microglia to amyloid-{beta} (A{beta}) deposition. Mice expressing CD33M have increased A{beta} levels, mo7re diffuse plaques, fewer disease-associated microglia, and more dystrophic neurites compared to control 5XFAD mice. Conversely, CD33m promotes plaque compaction and microglia-plaque contacts, and minimizes neuritic plaque pathology, highlighting an AD protective role for this isoform. Protective phenotypes driven by CD33m are detected at an earlier timepoint compared to the more aggressive pathology in CD33M mice that appears at a later timepoint, suggesting that CD33m has a more prominent impact on microglia cell function at earlier stages of disease progression. In addition to divergent roles in modulating phagocytosis, scRNAseq and proteomics analyses demonstrate that CD33m+ microglia upregulate nestin, an intermediate filament involved in cell migration, at plaque contact sites. Overall, our work provides new functional insights into how CD33, as a top genetic susceptibility factor for AD, modulates microglial cell function.

neuroscience↗

Population-scale prediabetic assessment using HbA1c from menstrual blood

CDC-recommended diabetes prevention programs aim to detect and reverse disease in the one-third of Americans with prediabetes, but high-compliance serial assessment of percent hemoglobin A1c (HbA1c) remains a barrier to delivering this vision at population scale. Venous phlebotomy is challenging for busy or resource-constrained patients.\n\nIn this paper, we introduce the first-ever quantitative diagnostic test based on menstrual fluid, which allows HbA1c quantification from self-collected mailed tampons.We demonstrate that menstrual HbA1c is comparable to venous HbA1c in the diagnosis of prediabetes with the standard threshold of 5.7. We also demonstrate accuracy, precision, stability, and interference testing. Finally, surveying subjects reveals strong preference for menstrual HbA1c in quarterly testing. These findings suggest that menstrual HbA1c can be a key tool in addressing prediabetes at population scale.

pathology↗