Fecal Microbiota Strongly Correlates with Tissue Microbiota Composition in Colorectal Cancer but Not in Non-Small Cell Lung Cancer

International Journal of Molecular Sciences, Journal Year: 2025, Volume and Issue: 26(2), P. 717 - 717

Published: Jan. 16, 2025

Microbiota could be of interest in the diagnosis colorectal and non-small cell lung cancer (CRC NSCLC). However, how microbial components tissues feces reflect each other remains unknown. In this work, our main objective is to discover degree correlation between composition tissue microbiota that patients affected by CRC NSCLC. Specifically, we investigated tumor non-tumor from 38 recruited with 19 DNA samples was submitted for 16S rDNA metagenomic sequencing, followed data analysis through QIIME2 pipeline further statistical processing STATA IC16. Tumor selected genera were highly correlated both NSCLC (100% 81.25%). Following this, established tissue-feces correlations, using a LEfSe previously published. CRC, found strong taxa detected those tissues. do not demonstrate conclusion, findings strongly reinforce utility fecal as non-invasive biomarker diagnosis, while highlighting critical distinctions Furthermore, are similar, only minor differences being detected.

Language: Английский

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Gastrointestinal Microbiota in Gastric Cancer: Potential Mechanisms and Clinical Applications—A Literature Review

Cancers, Journal Year: 2024, Volume and Issue: 16(20), P. 3547 - 3547

Published: Oct. 21, 2024

Emerging evidence highlights the crucial role of gastrointestinal microbiota in pathogenesis gastric cancer.

Language: Английский

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Model systems to study tumor-microbiome interactions in early-onset colorectal cancer

EMBO Molecular Medicine, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 13, 2025

Abstract Colorectal cancer (CRC) is a major health problem, with an alarming increase of early-onset CRC (EO-CRC) cases among individuals under 50 years age. This trend shows the urgent need for understanding underlying mechanisms leading to EO-CRC development and progression. There significant evidence that gut microbiome acts as key player in by triggering molecular changes colon epithelium, tumorigenesis. However, comprehensive collection comparison methods study such tumor-microbiome interactions context sparse. review provides overview available vivo, ex vivo well vitro approaches model assess effect microbes on tumor growth. By comparing advantages limitations each system, it highlights that, while no single perfect, suitable studying specific aspects microbiome-induced Taken together, multifaceted can simulate human body’s complexity, aiding effective treatment prevention strategies EO-CRC.

Language: Английский

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A Systematic Review and Meta-Analysis of 16S rRNA and Cancer Microbiome Atlas Datasets to Characterize Microbiota Signatures in Normal Breast, Mastitis, and Breast Cancer

Microorganisms, Journal Year: 2025, Volume and Issue: 13(2), P. 467 - 467

Published: Feb. 19, 2025

The breast tissue microbiome has been increasingly recognized as a potential contributor to cancer development and progression. However, inconsistencies in microbial composition across studies have hindered the identification of definitive signatures. We conducted systematic review meta-analysis 11 using 16S rRNA sequencing characterize bacterial 1260 fresh samples, including normal, mastitis-affected, benign, cancer-adjacent, cancerous tissues. Studies published until 31 December 2023 were included if they analyzed human Illumina short-read with sufficient metadata, while non-human non-breast tissues, non-English articles, those lacking metadata or alternative methods excluded. also incorporated data from Cancer Genome Atlas (TCGA-BRCA) cohort enhance our analyses. Our identified Proteobacteria, Firmicutes, Actinobacteriota, Bacteroidota dominant phyla tissue, Staphylococcus Corynebacterium frequently detected studies. While diversity was similar between cancer-adjacent both exhibited lower compared normal mastitis-affected Variability genera observed primer sets studies, emphasizing need for standardized methodologies research. An analysis TCGA-BRCA confirmed dominance Corynebacterium, which associated proliferation-related gene expression programs. Notably, high abundance 4.1-fold increased mortality risk. These findings underscore clinical relevance tumor progression emphasize importance methodological consistency. Future establish causal relationships, elucidate underlying mechanisms, assess microbiome-targeted interventions are warranted.

Language: Английский

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Metagenomics as a Transformative Tool for Antibiotic Resistance Surveillance: Highlighting the Impact of Mobile Genetic Elements with a Focus on the Complex Role of Phages

Antibiotics, Journal Year: 2025, Volume and Issue: 14(3), P. 296 - 296

Published: March 12, 2025

Extensive use of antibiotics in human healthcare as well agricultural and environmental settings has led to the emergence spread antibiotic-resistant bacteria, rendering many infections increasingly difficult treat. Coupled with limited development new antibiotics, rise antimicrobial resistance (AMR) caused a major health crisis worldwide, which calls for immediate action. Strengthening AMR surveillance systems is, therefore, crucial global national efforts combating this escalating threat. This review explores potential metagenomics, sequenced-based approach analyze entire microbial communities without need cultivation, transformative rapid tool improving strategies compared traditional cultivation-based methods. We emphasize importance monitoring mobile genetic elements (MGEs), such integrons, transposons, plasmids, bacteriophages (phages), relation their critical role facilitating dissemination determinants via horizontal gene transfer (HGT) across diverse environments clinical settings. In context, strengths limitations current bioinformatic tools designed detect AMR-associated MGEs metagenomic datasets, including emerging predictive machine learning models, are evaluated. Moreover, controversial phages transmission is discussed alongside phage therapy promising alternative conventional antibiotic treatment.

Language: Английский

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Characterization of Gut Microbiota in Patients with Active Spreading Vitiligo Based on Whole-Genome Shotgun Sequencing

International Journal of Molecular Sciences, Journal Year: 2025, Volume and Issue: 26(7), P. 2939 - 2939

Published: March 24, 2025

Vitiligo is an autoimmune skin disease with a significant psychological burden and complex pathogenesis. While genetic factors contribute approximately 30% to its development, recent evidence suggests crucial role of the gut microbiome in diseases. This study investigated differences composition metabolic pathways between active spreading vitiligo patients healthy controls using shotgun whole-genome sequencing Korean cohort. Taxonomic profiling reveals distinct characteristics microbial community structure, showing imbalanced proportion dominated by Actinomycetota Bacteroidota. The group exhibited significantly reduced abundance specific species including Faecalibacterium prausnitzii, Faecalibacteriumduncaniae, Meamonas funiformis, increased Bifidobacterium bifidum compared controls. Metabolic pathway analysis identified enrichment O-glycan biosynthesis patients, while showed riboflavin metabolism bacterial chemotaxis pathways. These findings provide new insights into gut-skin axis pathogenesis suggest potential therapeutic targets through microbiota modulation.

Language: Английский

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Comparison of Three DNA Isolation Methods and Two Sequencing Techniques for the Study of the Human Microbiota

Life, Journal Year: 2025, Volume and Issue: 15(4), P. 599 - 599

Published: April 4, 2025

Breast cancer is the most commonly diagnosed in women and second leading cause of female death. Altered interactions between host gut microbiota appear to play an influential role carcinogenesis. Several studies have shown different signatures patients with breast compared healthy women. Currently, there disagreement regarding DNA isolation sequencing methodologies for on human microbiota, given that they can influence interpretation results obtained. The goal this work was compare (1) three extraction strategies minimize impact DNA, (2) two (16S rRNA shotgun) identify discrepancies microbiome results. We made use tissue fecal samples from both who participated MICROMA study (reference NCT03885648). isolated by means mechanical lysis, trypsin, or saponin. amount eukaryotic using trypsin saponin methods lower lysis method (mechanical 89.11 ± 2.32%; method, 82.63 1.23%; 80.53 4.09%). In a predominance prokaryotic cells, such as feces, 16S advantageous approach. For other tissues, which are expected more complex microbial composition, need in-depth evaluation multifactorial interaction various components makes shotgun appropriate method. As evaluated, when than stool, convenient. samples, where contamination low, no prior treatment necessary.

Language: Английский

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Fecal Microbiome Reflects Disease State and Prognosis in Inflammatory Bowel Disease in an Adult Population-Based Inception Cohort

Inflammatory Bowel Diseases, Journal Year: 2025, Volume and Issue: unknown

Published: April 25, 2025

Abstract Introduction We aimed to determine the diagnostic and prognostic potential of baseline microbiome profiling in inflammatory bowel disease (IBD). Methods Participants with ulcerative colitis (UC), Crohn’s (CD), suspected IBD, non-IBD symptomatic controls were included prospective population-based cohort Inflammatory Bowel Disease South-Eastern Norway III (third iteration) based on suspicion IBD. The participants donated fecal samples that analyzed 16S rRNA sequencing. course severity was evaluated at 1-year follow-up. A stringent statistical consensus approach for differential abundance analysis 3 different tools applied, together machine learning modeling. Results total 1404 individuals included, where n = 1229 from adults used main analyses (n 658 UC, 324 CD, 36 IBD-U, 67 144 controls). Microbiome profiles compared biochemical markers models differentiate IBD (area under receiver operating curve [AUC] 0.75-0.79). For UC vs controls, integrating data like calprotectin mildly improved classification (AUC 0.83 0.86, P < .0001). Extensive differences composition between CD identified, which could be quantified as an index differentially abundant genera. This validated across published datasets continents. UC-CD discriminated ileal colonic (linear regression, .008) (P .005), suggesting a location-dependent gradient. outperformed predicting severe 0.72 0.65, .0001), even those mild 0.66 0.59, Conclusions Fecal held limited diagnose standard-of-care. However, shows promise future courses UC.

Language: Английский

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Leveraging human microbiomes for disease prediction and treatment

Trends in Pharmacological Sciences, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 1, 2024

Language: Английский

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The oral microbiome and its role in oral squamous cell carcinoma: a systematic review of microbial alterations and potential biomarkers

Pathologica, Journal Year: 2024, Volume and Issue: 116(6), P. 338 - 357

Published: Dec. 1, 2024

Oral squamous cell carcinoma (OSCC) is one of the most common cancers worldwide. Despite advances in diagnosis and treatment, incidence OSCC increasing, mortality rate remains high. This systematic review aims to examine potential association between composition oral microbiota OSCC.

Language: Английский

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