Evidence map›Paper›PMID 36553852›Full record

ArticleFoods (Basel, Switzerland)2022

Effect and Correlation of

Jiuchang Li, Jun Zhang, Yulong Zhang, Yuanyuan Shi, Dandan Feng, Yunyang Zuo, Ping Hu

Open access · goldAbstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

19 citing papers in PubMed, 30 citations in OpenAlex.

  1. Cili (Current issues in molecular biology · 2026
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  4. Flavonoids inFood science & nutrition · 2025
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  5. Article
  6. Article
  7. Review
  8. Potential of Fruits to Improve Dyslipidemias: A Pilot Review.Vascular health and risk management · 2025
    Review
  9. Article
  10. Article
  11. Regulation mechanism ofFrontiers in nutrition · 2025
    Article
  12. Review
  13. Article
  14. Article
  15. Food science and biotechnology · 2024
    Article
  16. Nutrients · 2023
    Article
  17. Effect and Correlation ofFoods (Basel, Switzerland) · 2023
    Article
  18. Article
  19. Article
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

7 authors at 1 institution in 1 country.

Jiuchang LiSchool of Liquor and Food Engineering, Guizhou University, Guiyang 550025, China.
Jun ZhangSchool of Liquor and Food Engineering, Guizhou University, Guiyang 550025, China.
Yulong ZhangSchool of Liquor and Food Engineering, Guizhou University, Guiyang 550025, China.
Yuanyuan ShiSchool of Liquor and Food Engineering, Guizhou University, Guiyang 550025, China.
Dandan FengSchool of Liquor and Food Engineering, Guizhou University, Guiyang 550025, China.
Yunyang ZuoSchool of Liquor and Food Engineering, Guizhou University, Guiyang 550025, China.ORCID 0000-0001-9227-8023
Ping HuSchool of Liquor and Food Engineering, Guizhou University, Guiyang 550025, China.
Guizhou University · CN

Funding

National Natural Science Foundation of China 31260379Roxburgh rose industry development program of Guizhou Province, China QCN2019-261
6 · The paper itself

Abstract

To investigate the effect of Rosa roxburghii Tratt fruit vinegar (RFV) on the intervention of obesity and hyperlipidemia and its potential mechanism, a high-fat diet (HFD)-induced obesity model in mice was established and gavaged with RFV, saline and xuezhikang for 30 consecutive days, respectively. The results showed that RFV supplementation significantly reduced fat accumulation, and improved dyslipidemia and liver inflammation in HFD mice. RFV intervention for 30 days significantly improved the diversity of gut microbiota and altered the structure of gut microbiota in HFD mice. Compared with the model group (MC), the ratio of Firmicutes to Bacteroidetes at least decreased by 15.75% after RFV treatment, and increased the relative abundance of beneficial bacteria (Proteobacteria, Bacteroidetes, Lactobacillaceae, Bacteroides, Akkermansia,) and decreased the relative abundance of harmful bacteria (Ruminococcaceae, Erysipelotrichaceae, Ruminococcaceae _UCG-013, Lachnospiraceae, Allobaculum, Actinobacteria). Spearman’s correlation analysis revealed that Erysipelotrichaceae, Allobaculum, Lachnospiraceae, Ruminococcaceae, Ruminococcaceae_UCG-013, uncultured_bacterium_f_Lachnospiraceae and Desulfobacterota were positively correlated (p < 0.05) with the body weight of mice, while Proteobacteria was negatively correlated (p < 0.05) with the body weight of mice. The two main bacteria that could promote dyslipidemia in obese mice were Actinobacteria and Firmicutes, while those that played a mitigating role were mainly Bacteroidetes. It is concluded that RFV plays an important role in the intervention of obesity and related complications in HFD mice by regulating their gut microbiota.

Indexed as

correlationdyslipidemiagut microbiota regulationobesityRosa roxburghii Tratt fruit vinegar

Identifiers

PMID36553852
PMCPMC9778257
OpenAlexW4312140391

What OpenQuestion holds

Textmetadata
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.