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ArticleObesity surgery2024

Human Gut Microbiome Before and After Bariatric Surgery in Obese Patients with and Without Type 2 Diabetes.

Maryam Masoumi, Abdollah Jafarzadeh, Hadi Hadavi, Payam Nikoyan, Soudeh Khanamani Falahati-Pour, Nahid Askari, Vahid Mirzaei

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Article in Obesity surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Maryam MasoumiStudent Research Committee, Rafsanjan University of Medical Sciences, Rafsanjan, Iran.
Abdollah JafarzadehMolecular Medicine Research Center, Research Institute of Basic Medical Sciences, Rafsanjan University of Medical Sciences, Rafsanjan, Iran.
Hadi HadaviDepartment of Surgery, Shahid Bahonar Hospital, Kerman University of Medical Sciences, Kerman, Iran.
Payam NikoyanKerman Mehregan Bariatric Surgery Center, Kerman University of Medical Sciences, Kerman, Iran.
Soudeh Khanamani Falahati-PourPistachio Safety Research Center, Rafsanjan University of Medical Sciences, Rafsanjan, Iran.
Nahid AskariDepartment of Biotechnology, Institute of Sciences and High Technology and Environmental Sciences, Graduate University of Advanced Technology, Kerman, Iran.
Vahid MirzaeiClinical Research Development Unit, Ali-Ibn Abi-Talib Hospital, Rafsanjan University of Medical Sciences, Rafsanjan, Iran. vah_mirzaee@yahoo.com.ORCID 0000-0003-0179-9224

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBariatric surgery, a significant intervention for obesity, may influence weight loss through changes in gut microbiota, particularly the Firmicutes and Bacteroidetes. This study explores these potential shifts and their metabolic implications. MATERIALS: We conducted a cross-sectional study involving patients who had undergone bariatric surgery. Stool samples were collected at baseline, 3 months, and 6 months post-operation. We performed DNA extraction and quantified the bacterial phyla Firmicutes and Bacteroidetes to assess changes in the gut microbiota over time.

resultsOur research revealed a significant alteration in the gut microbiota following bariatric surgery. In diabetic individuals, there was a marked increase in the average number of Firmicutes bacteria at both 3 and 6 months post-operation, compared to pre-surgery levels. In contrast, non-diabetic subjects experienced a notable decrease in Firmicutes during the same timeframe. Regarding Bacteroidetes bacteria, the trend was reversed; diabetic patients showed a significant reduction, while non-diabetics exhibited an increase after the surgery. These findings highlight the dynamic changes in gut microbiota composition associated with bariatric surgery and its potential link to metabolic changes post-operation.

conclusionThese findings suggest that obesity alters the gut's microbial composition. The observed bacterial fluctuations, particularly in the dominant Firmicutes and Bacteroidetes groups, are likely contributors to the weight loss experienced post-surgery. This alteration in gut bacteria underscores the complex interplay between microbiota and metabolic health, highlighting potential avenues for therapeutic intervention.

Indexed as

BacteroidetesBariatric SurgeryDiabetes Mellitus, Type 2Gastrointestinal MicrobiomeObesity, MorbidWeight LossAdultBacillotaCross-Sectional StudiesFecesFemaleHumansMaleMiddle AgedBacterioedesBariatric SurgeryDiabetesFirmicutesIntestinal microbiotaObesity

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.