Evidence map›Paper›PMID 38388967›Full record

ArticleObesity surgery2024

Analysis of 16s rRNA Gene Sequencing in Feces: The Impact of Bariatric Surgery on the Gut Microbiota in Patients with Obesity.

Lijun Zhang, Xiaolei Cheng, Lianli Xia, Na Liu, Liyin Liu, Shujuan Liu, Shaojia Wang, Jianhui Yin

Abstract read
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In one paragraph

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 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Depressive symptoms at short-, medium-, and long-term follow-up after bariatric surgical procedures: A systematic review and meta-analysis.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025
    Pooled it
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Lijun ZhangDepartment of General Surgery, The First Hospital of Kunming, 504 Qingnian Road, Kunming, 650118, China.
Xiaolei ChengDepartment of Endocrinology, The First Hospital of Kunming, 504 Qingnian Road, Kunming, 650118, China.
Lianli XiaDepartment of Endocrinology, The First Hospital of Kunming, 504 Qingnian Road, Kunming, 650118, China.
Na LiuDepartment of Endocrinology, The First Hospital of Kunming, 504 Qingnian Road, Kunming, 650118, China.
Liyin LiuDepartment of General Surgery, The First Hospital of Kunming, 504 Qingnian Road, Kunming, 650118, China.
Shujuan LiuDepartment of General Surgery, The First Hospital of Kunming, 504 Qingnian Road, Kunming, 650118, China.
Shaojia WangDepartment of Gynecology, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Yunnan Cancer Center, Kunming, 650118, China. wangsjkunming@163.com.
Jianhui YinDepartment of General Surgery, The First Hospital of Kunming, 504 Qingnian Road, Kunming, 650118, China. 150305116@qq.com.ORCID 0009-0007-8832-1085

Funding

department of Science and Technology of Yunnan Province 202301AY070001-027Kunming Health Commission Health Research Project 2020-04-01-112Regional Program of the National Natural Science Foundation of China 82260577the Youth Program of the National Natural Science Foundation of China 81902652Young and Middle-aged Reserve Academic and Technical Leaders in Yunnan Province CZ0165Yunnan Provincial Medical Reserve Talents Project H-2019007
6 · The paper itself

Abstract

purposeObesity is a risk factor for many chronic diseases. This study aimed to investigate the effect of bariatric surgery on the gut microbiota from patients with obesity. MATERIALS AND

methodsThe microbiota composition from stool samples before and after bariatric surgery were identified using bacterial 16S rRNA gene sequencing. Based on the speed of weight loss, patients were classified as the slow-loss group and fast-loss group. The ɑ- and β-diversity analysis was done to compare the species richness, evenness, and overall structure of the microbiota between different groups. Next, linear discriminant analysis effect size (LEfSe) and receiver operating characteristic (ROC) analysis were implemented to identify high-dimensional biomarkers and significantly different species of microbial taxa between different groups. Finally, the pathway analysis was inferred using Phylogenetic Investigation of Communities by Reconstruction of Unobserved States (PICRUSt) to predict the functional profiling of microbial communities.

resultsβ-diversity analysis suggested that species diversity of preoperative samples of slow-loss group was significantly higher than the fast-loss group. High levels of Oscillospira and Abiotrophia in the preoperative gut microbiota may lead to poor postoperative weight loss. For patients with poor postoperative weight loss due to changes in gut microbiota, the gut microbiota is mainly composed of Lactobacillus. For patients with good postoperative results, the gut microbiota is mainly composed of Escherichia, Robinsonella, and Dialister. In addition, multiple metabolic-related pathways were significantly different between the four groups.

conclusionThis comparative study revealed biomarker species based on microfloral composition in patients with obesity before and after bariatric surgery.

Indexed as

Bariatric SurgeryGastrointestinal MicrobiomeObesity, MorbidFecesGenes, rRNAHumansObesityPhylogenyRNA, Ribosomal, 16SWeight LossRNA, Ribosomal, 16SBariatric surgeryGut microbiotaObesityPaired-end 16S sequencing

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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.