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Alteration of gastric microbiota in Helicobacter pylori-infected individuals suffering from GERD, DU, and gastritis.
Sharma, Prateek; Singh, Sarika; Singh, Aditya V; Das, Kunal; Bhaskar, Yogendra; Goel, Isha; Singh, Harpreet; Das, Rajashree.
Afiliação
  • Sharma P; Center for Medical Biotechnology, Amity Institute of Biotechnology, Amity University, Noida, Uttar Pradesh, India.
  • Singh S; Center for Medical Biotechnology, Amity Institute of Biotechnology, Amity University, Noida, Uttar Pradesh, India.
  • Singh AV; Center for Medical Biotechnology, Amity Institute of Biotechnology, Amity University, Noida, Uttar Pradesh, India.
  • Das K; Department of Gastroenterology, Yashoda Super Specialty Hospital, Ghaziabad, Uttar Pradesh, India.
  • Bhaskar Y; Department of Gastroenterology, Max Super-Specialty Hospital, Vaishali, Ghaziabad, Uttar Pradesh, India.
  • Goel I; ICMR-AIIMS Computational Genomics Centre, Division of Biomedical Informatics, Indian Council of Medical Research (ICMR), New Delhi, India.
  • Singh H; Department of Psychiatry, All India Institute of Medical Sciences, New Delhi, India.
  • Das R; ICMR-AIIMS Computational Genomics Centre, Division of Biomedical Informatics, Indian Council of Medical Research (ICMR), New Delhi, India.
Article em En | MEDLINE | ID: mdl-38847202
ABSTRACT
BACKGROUND/

AIM:

Helicobacter pylori (H. pylori) colonization affects the gastric microbiome, causing gastrointestinal (GI) diseases. Modern sequencing technology provides insights into GI microbe interaction with H. pylori and their metabolic pathways in causing GI diseases. We aim to compare the gastric microbiota alteration due to H. pylori infection in patients suffering from GI diseases. MATERIALS AND

METHODS:

Genomic DNA were isolated from gastric antrum tissue from 37 H.pylori-infected patients diagnosed with GERD, duodenal ulcers, and gastritis. We conducted the genomic library preparation and sequencing of the amplified product using 16S rRNA NGS analysis. Using microbiome analyst tool diversity analysis, random forest analysis and ANOVA were conducted to find out the comparison of microbial abundance. We have also conducted functional pathway prediction analysis using PICRUSt.

RESULTS:

Metagenomic analysis shows high bacterial diversity in H. pylori-positive gastritis patients. Streptococcus infantis and Neisseria subflava were significantly higher in duodenal ulcer (DU) and gastritis groups. Acinetobacter lwoffii and Helicobacter pullorum were significantly high in the gastritis group only. The functional metabolic pathway analyses revealed that gastroesophageal reflux disease (GERD) samples were significantly enriched with the energy metabolism and xenobiotic biodegradation and metabolism pathways, whereas fructose-1,6-bisphosphatase III was found less in gastritis and DU groups.

CONCLUSION:

There is a difference in microbiota composition in different disease outcomes. We found positive association between microbial diversity and H. pylori in gastritis group only, whereas negative association was found in DU and GERD groups. The functional metabolic pathway analysis revealed significant differences in various disease outcomes.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article