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Karen Pendergrass, Standards Team

About

Karen Pendergrass is a microbiome researcher specializing in microbiome-targeted interventions (MBTIs). She systematically analyzes scientific literature to identify microbial patterns, develop hypotheses, and validate interventions. As the founder of the Microbiome Signatures Database, she bridges microbiome research with clinical practice. In 2012, based on her own investigative research, she became the first documented case of FMT for Celiac Disease—four years before the first published case study.

Recent Posts

2024-12-04 17:48:30

Does Exposure of Lead and Cadmium Affect the Endometriosis?

The study links lead and cadmium exposure to increased endometriosis risk, emphasizing lead’s role at low blood levels and synergistic effects with cadmium. It advocates for strict monitoring and preventive measures to minimize exposure.

2024-12-04 16:18:04

Nickel Allergy as a Risk Factor for Endometriosis

This study identifies nickel allergy as an independent risk factor for endometriosis, highlighting shared immune dysregulation and estrogenic pathways. Using a population-based cohort, researchers found a 2.5-fold increased odds of nickel allergy in women with endometriosis, emphasizing the role of environmental exposures in its pathogenesis.

2024-12-04 15:51:44

Bacterial Iron Detoxification Mechanisms: Insights into Iron Homeostasis and Oxidative Stress Mitigation

This review explores bacterial iron homeostasis, focusing on detoxification pathways, oxidative stress mitigation, and iron-storage mechanisms. It highlights regulatory proteins like Fur and R and storage proteins like ferritins. These insights provide potential therapeutic targets for limiting bacterial growth and addressing iron-related dysbiosis in host-pathogen interactions.

2024-12-03 11:55:40

Oral-microbiome-derived signatures enable non-invasive diagnosis of laryngeal cancers

This study explored oral microbiome-signatures for diagnosing SCC non-invasively. Using 16S rRNA sequencing and machine learning, key taxa differences were identified, enabling a predictive model with 85.7% accuracy. The findings suggest oral microbiota’s potential as a stable biomarker, revolutionizing early, non-invasive cancer detection.

2024-12-03 11:39:25

Metabolomics as a diagnostic tool in gastroenterology

Metabolomics provides insights into the metabolic underpinnings of BD and BS, revealing disease-specific biomarker metabolites linked to gut dysbiosis. These findings pave the way for non-invasive diagnostics and precision medicine.