Evidence map›Paper›PMID 38526814›Full record

ArticleJournal of food and drug analysis2023

Abundance of Prevotella copri in gut microbiota is inversely related to a healthy diet in patients with type 2 diabetes.

Chih-Yiu Tsai, Po-Yu Liu, Meng-Chuan Huang, Chiao-I Chang, Hsin-Yun Chen, Yu-Hsien Chou, Chi-Neu Tsai, Chia-Hung Lin

Open access · hybridAbstract read
In one paragraph

Article in Journal of food and drug analysis, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.0field-weighted citation impact, top 13% of its field
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

13 citing papers in PubMed, 13 citations in OpenAlex.

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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 at 6 institutions in 1 country.

Chih-Yiu TsaiDivision of Endocrinology and Metabolism, Chang Gung Memorial Hospital, Taoyuan, Taiwan.
Po-Yu LiuSchool of Medicine, College of Medicine, National Sun Yat-sen University, Kaohsiung, Taiwan.
Meng-Chuan HuangDepartment of Nutrition and Dietetics, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.
Chiao-I ChangDepartment of Public Health and Environmental Medicine, School of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.
Hsin-Yun ChenDepartment of Nutrition Therapy, Chang Gung Memorial Hospital, Taoyuan, Taiwan.
Yu-Hsien ChouDivision of Endocrinology and Metabolism, Chang Gung Memorial Hospital, Taoyuan, Taiwan.
Chi-Neu TsaiGraduate Institute of Clinical Medical Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan.
Chia-Hung LinDivision of Endocrinology and Metabolism, Chang Gung Memorial Hospital, Taoyuan, Taiwan.
Chang Gung Memorial Hospital · TWChang Gung University · TWKaohsiung Medical University · TWKaohsiung Medical University Chung-Ho Memorial Hospital · TWNational Sun Yat-sen University · TWTaipei City Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While the gut microbiota is known to be influenced by habitual food intake, this relationship is seldom explored in type 2 diabetes patients. This study aims to investigate the relationship between dietary patterns and gut microbial species abundance in 113 type 2 diabetes patients (mean age, 58 years; body mass index, 29.1; glycohemoglobin [HbA1c], 8.1%). We analyzed the gut microbiota using 16S amplicon sequencing, and all patients were categorized into either the Bacteroides enterotype (57.5%, n = 65) or the Prevotella enterotype (42.5%, n = 48) using the partitioning around medoids clustering algorithm, based on the most representative genera. Patients with the Bacteroides enterotype showed better glycemic control with a 2.71 odds of HbA1c ≤ 7.0% compared to the Prevotella enterotype (95% confidence interval, 1.02-7.87; P, 0.034). Dietary habits and the nutrient composition of all patients were assessed using a validated food frequency questionnaire. It was observed that the amounts of dietary fiber consumed were suboptimal, with an average intake of 16 g per day. Additionally, we extracted four dietary patterns through factor analysis: eating-out, high-sugar foods, fish-vegetable, and fermented foods patterns. Patients with the Bacteroides enterotype had higher scores for the fish-vegetable pattern compared to the Prevotella enterotype (0.17 ± 0.13 versus -0.23 ± 0.09; P, 0.010). We further investigated the relationship between the microbiota and the four dietary patterns and found that only the fish-vegetable dietary pattern scores were correlated with principal coordinate values. A lower pattern score was associated with the accumulated abundance of the 31 significant microbial features. Among these features, Prevotella copri was identified as the most significant by using a random forest model, with an area under the receiver operating characteristic of 0.93 (95% confidence interval, 0.88-0.98). To validate these results, we conducted a custom quantitative polymerase chain reaction assay. This assay confirmed the presence of P. copri (sensitivity, 0.96; specificity, 0.97) in our cohort, with a prevalence of 47.8%, and a mean relative abundance of 21.0% in subjects harboring P. copri. In summary, type 2 diabetes patients with the Prevotella enterotype demonstrated poorer glycemic control and deviations from a healthy dietary pattern. The abundance of P. copri, as a major contributing microbial feature, was associated with the severity in the deficiency in dietary fish and vegetables. Emphasis should be placed on promoting a healthy dietary pattern and understanding the microbial correlations.

Indexed as

Diabetes Mellitus, Type 2Gastrointestinal MicrobiomeDiet, HealthyGlycated HemoglobinHumansMiddle AgedPrevotellaVegetablesGlycated Hemoglobin

Identifiers

PMID38526814
PMCPMC10962673
OpenAlexW4389871239

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.