Evidence map›Paper›PMID 28400577›Full record

ArticleScientific reports2017

Fish oil, lard and soybean oil differentially shape gut microbiota of middle-aged rats.

He Li, Yingying Zhu, Fan Zhao, Shangxin Song, Yingqiu Li, Xinglian Xu, Guanghong Zhou, Chunbao Li

Erratum issuedAbstract read
In one paragraph

Article in Scientific reports, 2017. 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 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 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

32 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Effects of Vitamin DNutrients · 2022
    Trial
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  5. Article
  6. Food as Medicine for Hypertension: Microbiota as Mediators.Hypertension (Dallas, Tex. : 1979) · 2025
    Review
  7. Understanding how foods and enteral feedings influence the gut microbiome.Nutrition in clinical practice : official publication of the American Society for Parenteral and Enteral Nutrition · 2025
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

He LiKey Laboratory of Meat Processing and Quality Control, MOE, Key Laboratory of Meat Processing, MOA, Jiang Synergetic Innovation Center of Meat Processing and Quality Control, Nanjing Agricultural University, Nanjing, 210095, P.R. China.
Yingying ZhuKey Laboratory of Meat Processing and Quality Control, MOE, Key Laboratory of Meat Processing, MOA, Jiang Synergetic Innovation Center of Meat Processing and Quality Control, Nanjing Agricultural University, Nanjing, 210095, P.R. China.
Fan ZhaoKey Laboratory of Meat Processing and Quality Control, MOE, Key Laboratory of Meat Processing, MOA, Jiang Synergetic Innovation Center of Meat Processing and Quality Control, Nanjing Agricultural University, Nanjing, 210095, P.R. China.
Shangxin SongSchool of Food Science, Nanjing Xiaozhuang University, Nanjing, 211171, P.R. China.
Yingqiu LiKey Laboratory of Meat Processing and Quality Control, MOE, Key Laboratory of Meat Processing, MOA, Jiang Synergetic Innovation Center of Meat Processing and Quality Control, Nanjing Agricultural University, Nanjing, 210095, P.R. China.
Xinglian XuKey Laboratory of Meat Processing and Quality Control, MOE, Key Laboratory of Meat Processing, MOA, Jiang Synergetic Innovation Center of Meat Processing and Quality Control, Nanjing Agricultural University, Nanjing, 210095, P.R. China.
Guanghong ZhouKey Laboratory of Meat Processing and Quality Control, MOE, Key Laboratory of Meat Processing, MOA, Jiang Synergetic Innovation Center of Meat Processing and Quality Control, Nanjing Agricultural University, Nanjing, 210095, P.R. China. guanghong.zhou@hotmail.com.
Chunbao LiKey Laboratory of Meat Processing and Quality Control, MOE, Key Laboratory of Meat Processing, MOA, Jiang Synergetic Innovation Center of Meat Processing and Quality Control, Nanjing Agricultural University, Nanjing, 210095, P.R. China. chunbao.li@njau.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-fat diets have been associated with overweight/obesity and increased mortality in middle-aged populations. However, it is still unclear how gut microbiota in middle-aged populations responds to dietary fats at a normal dose. In this study, we explored gut microbiota structure in middle-aged rats (aged 12 months) after feeding 4% (w/w) soybean oil, lard or fish oil for 3 months, respectively. The results showed that the gut microbiota structure in the fish oil group was substantially different from those of the soybean oil and lard groups in both in vitro and in vivo studies. The relative abundances of phylum Proteobacteria and genus Desulfovibrio in the caecal and colonic contents were the highest in the fish oil group (p < 0.05). The mRNA levels of biomarkers for inflammation in the colon, including IL-1β, IL-6, IL-17, IL-18 and TNF-α, were also the highest in the fish oil group (p < 0.05). Meanwhile, the fish oil group had the highest microbial DNA abundance of a predicted lipid metabolism. Our results gave a new insight into the potentially negative impact of fish oil diet on health of middle-aged populations by changing gut microbiota and inducing inflammation as compared to soybean oil and lard diets.

Indexed as

AnimalsColonCytokinesDesulfovibrioDietary FatsFish OilsGastrointestinal MicrobiomeLipid MetabolismMaleProteobacteriaRatsRats, Sprague-DawleySoybean OilCytokinesDietary FatsFish OilsSoybean Oil

Identifiers

PMID28400577
PMCPMC5429820

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Registered trials

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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.