Dr. Umar

Fecal 16S sequencing in children with autism spectrum disorder found gut microbial composition differences linked to gastrointestinal symptom severity, though overall diversity did not differ from healthy controls.

Ovarian tumors sorted into immune-enriched and immune-deficient subtypes carried significantly different intratumoral microbiome profiles, and a 32-microbe signature predicted patient survival (C-index 0.727), pointing to a link between tumor-resident bacteria, antitumor immunity, and prognosis.

Women with postpartum depression showed a distinct gut microbiome, with several butyrate-producing genera depleted. Faecalibacterium fell from 19.79 to 9.22 percent (p equals 0.003), and Phascolarctobacterium, Butyricicoccus, and Megasphaera also declined, with some genera correlating with depression severity and sex hormone levels.

Women with polycystic ovary syndrome in central China showed elevated fecal acetic and propionic acid plus raised serum markers of gut leakiness and inflammation, with Peptostreptococcaceae and the Bacteroidales S24-7 group enriched compared with healthy controls.

Found higher fecal Actinobacteria, Proteobacteria and Bacilli in children with autism spectrum disorder versus healthy controls.

A 520-sample fecal metagenomic study found reduced diversity and Klebsiella/Enterobacteriaceae enrichment in CKD, yielding a five-marker classifier with strong diagnostic accuracy.

In obese polycystic ovary syndrome, reduced butyric acid was linked to more Streptococcaceae and less Rikenellaceae, and butyrate supplementation lowered FOSL2 m6A methylation by suppressing METTL3, cutting inflammatory IL-6 and TNF-alpha in ovarian granulosa cells and improving ovary function in mice.

A ten-strain gut bacterial signature distinguished boys with autism from neurotypical controls with an AUC of 0.947.

Breast cancer patients from the Midwest showed gut dysbiosis with reduced Faecalibacterium prausnitzii and lower propionate-producing capacity compared to healthy controls.

Combining gut 16S sequencing with blood transcriptomics in coronary artery disease patients, a panel of 20 bacterial and 30 gene biomarkers distinguished patients from controls with AUC 0.92, and depleted short-chain fatty acid producers were linked to reduced interferon signaling.

Cognitively impaired patients with brain amyloidosis showed higher blood pro-inflammatory cytokine levels alongside altered abundance of pro- and anti-inflammatory gut bacterial taxa.

In normal-weight women with polycystic ovary syndrome, those with insulin resistance carried more gut Enterococcus, Rothia, and Ruminococcus and less Prevotella. Enterococcus abundance tracked positively with the insulin resistance index and abdominal obesity.

Alzheimer’s disease (AD) is a progressive neurodegenerative disorder characterized by amyloid-beta (Aβ) plaques, neurofibrillary tangles, neuroinflammation, and metabolic dysfunction, ultimately leading to cognitive decline and dementia. Emerging research highlights the microbiota-gut-brain axis as a crucial factor in AD pathogenesis, with gut dysbiosis contributing to neuroinflammation, immune dysregulation, and blood-brain barrier permeability. Microbial metabolites, such […]

Autism Spectrum Disorder (ASD) is a neurodevelopmental condition characterized by social, communication, and behavioral challenges. It involves genetic and environmental factors, including microbiome imbalances which influence symptom severity and overall health.

Traditionally linked to genetic predispositions and environmental exposures, emerging evidence highlights the microbiome as a critical and underappreciated factor influencing breast cancer progression, immune response, and treatment outcomes.

Type 1 diabetes is an autoimmune condition in which pancreatic β-cells are destroyed, causing insulin deficiency and hyperglycemia. It typically arises in youth and requires lifelong insulin therapy. This article provides a clinician-focused review of T1D’s causes, mechanisms, complications, diagnosis, and management, including emerging multi-omics insights.

Gut microbiota signatures in pediatric type 1 diabetes include lower Firmicutes/Actinobacteria, higher Bacteroidetes, and reduced Firmicutes:Bacteroidetes ratio, with depleted Bifidobacterium/Lactobacillus and increased Clostridium linked to worse glycemia.

New-onset pediatric T1D in Sonoran Mexico is associated with a genus-level shift toward Bacteroides enrichment and Prevotella depletion, while insulin-treated cases show intermediate, heterogeneous profiles. Diversity differences were mainly compositional (beta diversity), supporting a stage-sensitive microbiome signature rather than broad phylum changes.

This U.S. cross-sectional study links gut microbiome in type 1 diabetes risk with specific taxon shifts rather than reduced diversity, highlighting Catenibacterium/Prevotellaceae/RC9-gut-group increases in seropositivity and Lactobacillus/Staphylococcus depletion in at-risk and new-onset states.

Newly diagnosed Chinese children with T1DM showed t1dm-gut-microbiota-signatures marked by lower richness and specific taxonomic shifts, notably higher Blautia and lower Haemophilus/Lachnospira/Dialister/Intestinimonas. Blautia correlated with HbA1c and autoantibody measures, linking microbiota patterns to metabolic and autoimmune activity.

This pediatric case-control study found a distinct type-1-diabetes-gut-microbiota signature versus MODY2 and healthy controls, featuring higher Bacteroides/Veillonella and lower Faecalibacterium/Roseburia, alongside increased LPS, cytokines, and zonulin and immune-related functional pathway enrichment.

This pilot study profiled gut fungi in adults with T1D, T2D, and controls. Basidiomycota and Malassezia predominated, but T1D showed striking Saccharomyces depletion and lipid-linked correlations, while T2D showed cholesterol-linked Malassezia signals.

Plasma metabolomics distinguished type 1 diabetes stages. New-onset disease showed higher gut bacteria–linked 3-phenylpropionic acid and lower hypotaurine, while later-stage disease showed higher 5-methylcytosine. Ratios of phenylalanine to 3-PPA improved stage classification.

In hepcidin in pediatric type 1 diabetes, single serum hepcidin did not distinguish functional iron deficiency from normal iron status, though it was markedly low in absolute iron deficiency. The study provides iron-phenotype labeling guidance but contains no microbiome taxa or metabolite data.