Evidence map›Paper›PMID 41034789›Full record

ArticleBMC public health2025

Gut microbiota bridging spicy food intake and obesity: evidence from the China Multi-Ethnic Cohort (CMEC) study.

Ying Qian, Yongli Zeng, Fei Mi, Xuehui Zhang, Qiao Zhang, Fang Xu, Juan Huang, Rudan Hong, Teng Zhang, Zhimin Zhao and 8 more

Erratum issuedAbstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors.

Ying QianYunnan Provincial Key Laboratory of Public Health and Biosafety & School of Public Health, Kunming Medical University, Kunming, China.
Yongli Zeng *Yunnan Provincial Key Laboratory of Public Health and Biosafety & School of Public Health, Kunming Medical University, Kunming, China.
Fei Mi *Yunnan Provincial Key Laboratory of Public Health and Biosafety & School of Public Health, Kunming Medical University, Kunming, China.
Xuehui ZhangYunnan Provincial Key Laboratory of Public Health and Biosafety & School of Public Health, Kunming Medical University, Kunming, China.
Qiao ZhangYunnan Provincial Key Laboratory of Public Health and Biosafety & School of Public Health, Kunming Medical University, Kunming, China.
Fang XuYunnan Provincial Key Laboratory of Public Health and Biosafety & School of Public Health, Kunming Medical University, Kunming, China.
Juan HuangYunnan Provincial Key Laboratory of Public Health and Biosafety & School of Public Health, Kunming Medical University, Kunming, China.
Rudan HongYunnan Provincial Key Laboratory of Public Health and Biosafety & School of Public Health, Kunming Medical University, Kunming, China.
Teng ZhangYunnan Provincial Key Laboratory of Public Health and Biosafety & School of Public Health, Kunming Medical University, Kunming, China.
Zhimin ZhaoYunnan Provincial Key Laboratory of Public Health and Biosafety & School of Public Health, Kunming Medical University, Kunming, China.
Nichang ZhangYunnan Provincial Key Laboratory of Public Health and Biosafety & School of Public Health, Kunming Medical University, Kunming, China.
Yahui XuYunnan Provincial Key Laboratory of Public Health and Biosafety & School of Public Health, Kunming Medical University, Kunming, China.
Zhuohang CheYunnan Provincial Key Laboratory of Public Health and Biosafety & School of Public Health, Kunming Medical University, Kunming, China.
Jizhuo YangYunnan Provincial Key Laboratory of Public Health and Biosafety & School of Public Health, Kunming Medical University, Kunming, China.
Qiong MengYunnan Provincial Key Laboratory of Public Health and Biosafety & School of Public Health, Kunming Medical University, Kunming, China. Mengqiong2006@163.com.
Yanjiao WangYunnan Provincial Key Laboratory of Public Health and Biosafety & School of Public Health, Kunming Medical University, Kunming, China. wangyanjiao827@163.com.
Yuemei FengYunnan Provincial Key Laboratory of Public Health and Biosafety & School of Public Health, Kunming Medical University, Kunming, China. fengyuemei2013@163.com.
Jianzhong YinYunnan Provincial Key Laboratory of Public Health and Biosafety & School of Public Health, Kunming Medical University, Kunming, China. yinjianzhong2005@sina.com.

Funding

the National Key R&D Program of China No. 2017YFC0907302the National Natural Science Foundation of China No. 32160551the National Natural Science Foundation of China No.81960610the National Natural Science Foundation of China No. 82260641Young Talents Special Project of Ten Thousand Talents Program of Yunnan Province No. XDYC-QNRC-2022-0229Young Talents Special Project of Ten Thousand Talents Program of Yunnan Province No. YNWR-QNBJ-2019-042Young Talents Special Project of Thousand Talents Program of Yunnan Province No. YNQR-QNRC-2020-097Young Talents Special Project of Thousand Talents Program of Yunnan Province No. YNQR-QNRC-2020-106
6 · The paper itself

Abstract

backgroundObesity has emerged as a major global public health issue, associated with increased rates of chronic disease and death. Previous studies have reported an association between spicy food intake and obesity. However, existing studies still have several limitations, including a shortage of detailed dietary surveys, insufficient accounts for the effects of different types of chili peppers and fatty acids on obesity, and the mechanisms through which spicy food consumption influences the gut microbiota and adipokines have not been sufficiently investigated.

methodsA total of 950 adults, aged 30-79 years, were included from the China Multi-Ethnic Cohort (CMEC) study. Dietary intake data from the Food Frequency Questionnaire (FFQ) and 24-h recall were collected. A multivariable logistic regression model was used to estimate the association between spicy food intake and obesity. Evaluate the impact of spicy foods on gut microbiota through 16S rRNA gene sequencing analysis.

resultsAt the population level, we demonstrated that the intake of spicy food is a risk factor for obesity in Chinese Han population in cold regions of Yunnan Province (OR = 1.82, 95%CI: 1.11-2.99). At the animal level, we found that Capsaicin (CAP), a key active component of spicy foods, may not exert weight-loss effects when exposed to cold environments; instead, it appears to lipid accumulation and exacerbated disorders in gut microbiota dysbiosis and was modulated by leptin levels, both of which play critical roles in the development of obesity.

conclusionsSpicy food intake is a risk factor for obesity in Chinese Han population in cold regions of Yunnan Province. This may lead to increased lipid accumulation and exacerbate disorders associated with gut microbiota dysbiosis, which are modulated by leptin levels. Both factors influence the development of obesity.

Indexed as

Gastrointestinal MicrobiomeObesitySpicesAdultAgedAnimalsChinaCohort StudiesEast Asian PeopleFemaleHumansMaleMiddle AgedRatsRisk FactorsCold environmentsGut microbiotaHan nationalityObesitySpicy food

Identifiers

PMID41034789
PMCPMC12487368

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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.