Evidence map›Paper›PMID 36209126›Full record

ArticleLipids in health and disease2022

Potential novel biomarkers in small intestine for obesity/obesity resistance revealed by multi-omics analysis.

Yueshan Pang, Yali Zheng, Ni Yang, Meng Zan, Lu Zhang, WeiJun Ding

Open access · goldAbstract read
In one paragraph

Article in Lipids in health and disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.6field-weighted citation impact, top 9% 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

17 citing papers in PubMed, 30 citations in OpenAlex.

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  15. Microorganisms · 2023
    Review
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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

6 authors at 2 institutions in 1 country.

Yueshan PangDepartment of Fundamental Medicine, Chengdu University of Traditional Chinese Medicine, 611130, Chengdu, China.
Yali ZhengDepartment of Fundamental Medicine, Chengdu University of Traditional Chinese Medicine, 611130, Chengdu, China.
Ni YangDepartment of Fundamental Medicine, Chengdu University of Traditional Chinese Medicine, 611130, Chengdu, China.
Meng ZanSchool of Pharmacy, Chengdu University of Traditional Chinese Medicine, 611130, Chengdu, China.
Lu ZhangDepartment of Fundamental Medicine, Chengdu University of Traditional Chinese Medicine, 611130, Chengdu, China.
WeiJun DingDepartment of Fundamental Medicine, Chengdu University of Traditional Chinese Medicine, 611130, Chengdu, China. dingweijun@cdutcm.edu.cn.
Chengdu University of Traditional Chinese Medicine · CNNorth Sichuan Medical University · CN

Funding

Natural Science Foundation of China No. 82074151
6 · The paper itself

Abstract

backgroundAlthough obesity is caused by different factors, individual susceptibility to obesity differs among people under the same circumstances. The microbiota in the caecum or fresh faeces and metabolites in blood or urine contribute to obesity resistance; however, the microbiota or metabolites in the small intestine have not been extensively studied.

methodsTo investigate the relationship between the microbiota or metabolites in the small intestine and susceptibility to obesity, eighty-eight male C57BL/6 mice were fed a high-fat diet (HFD) for 8 weeks to establish two models of obesity and obesity resistance. For further study, six mice were chosen from among the obesity models, and twelve mice were randomly chosen from among the obesity resistance models. After fasting plasma glucose and behavioural testing, the mice were fed in single cages for another 4 weeks to observe their weight and food intake. All mice were sacrificed at 20 weeks of age. Serum ALT, AST, HDL, LDL, TG and TC levels were measured using an automatic biochemical analyser. The microbiota and metabolites in the small intestine contents were analysed using 16 S sequencing and an ultrahigh-performance liquid chromatographic system, respectively. Transcripts in the jejunum were evaluated using full-length transcriptome sequencing and verified by qPCR.

resultsThe results showed that HFD induced depression and anxiety behaviours and higher fasting plasma glucose, ALT, AST, HDL, LDL, TG and TC levels in the obese mice; however, these levels were improved in obese resistance mice. The correlation analysis showed that the phosphatidylcholine, TG, and phosphatidylethanolamine levels were higher in obese mice and correlated positively with intestinal microflora (Desulfovibrio and Gemella) and the Cxcl10 gene. A higher abundance of Clostridium_sensu_stricto_1 in obesity-resistant mice correlated negatively with the metabolite contents (neuromedin N and enkephalin L) and Pck1 gene expression and correlated positively with certain metabolites (5-hydroxy-L-tryptophan, cinnamyl alcohol and 1 H-indole-3-acetamide) and genes expression (Gdf15, Igfbp6 and Spp1).

conclusionClostridium_sensu_stricto_1, neuromedin N, enkephalin L, Pck1, 5-hydroxy-L-tryptophan, Cxcl10 and cinnamyl alcohol may be novel biomarkers in the small intestine for obesity/obesity resistance. These might be helpful for obesity prevention or for treating obese patients.

Indexed as

Blood GlucosePhosphatidylethanolaminesAnimalsBiomarkersDiet, High-FatEnkephalinsIntestine, SmallMaleMiceMice, Inbred C57BLMice, ObeseObesityPhosphatidylcholinesPropanolsTryptophanBiomarkersBlood Glucosecinnamyl alcoholEnkephalinsPhosphatidylcholinesPhosphatidylethanolaminesPropanolsTryptophan5-HTCxcl10Gut microbiotaHigh-fat dietObesityObesity resistance

Identifiers

PMID36209126
PMCPMC9547412
OpenAlexW4303644443

What OpenQuestion holds

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LicenceCC BY
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.