Evidence map›Paper›PMID 39119290›Full record

ArticleFrontiers in cellular and infection microbiology2024

Role of gut microbiota and metabolomics in the lipid-lowering efficacy of statins among Chinese patients with coronary heart disease and hypercholesterolemia.

Lihua Hu, Boxian Hu, Long Zhang, Yuhong Hu, Yali Zhang, Ruihang Zhang, Hongxi Yu, Dan Liu, Xiaolei Wang, Ouya Lin and 4 more

Abstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Metabolic syndrome and a broken heart: trust your gut or risk your heart.American journal of physiology. Heart and circulatory physiology · 2026
    Review
  4. Article
  5. Review
  6. Review
  7. Animal Model Screening for Hyperlipidemic ICR Mice.International journal of molecular sciences · 2025
    Article
  8. Frontiers in microbiology · 2025
    Article
  9. 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

14 authors.

Lihua Hu *Department of Cardiology, Peking University First Hospital, Beijing, China.
Boxian Hu *School of Engineering Medicine of Beihang University and Key Laboratory of Big Data-Based Precision Medicine (Beihang University), Ministry of Industry and Information Technology of China, Beijing, China.
Long Zhang *Department of Cardiology, Peking University First Hospital, Beijing, China.
Yuhong HuSchool of Engineering Medicine of Beihang University and Key Laboratory of Big Data-Based Precision Medicine (Beihang University), Ministry of Industry and Information Technology of China, Beijing, China.
Yali ZhangDepartment of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China.
Ruihang ZhangSchool of Engineering Medicine of Beihang University and Key Laboratory of Big Data-Based Precision Medicine (Beihang University), Ministry of Industry and Information Technology of China, Beijing, China.
Hongxi YuSchool of Engineering Medicine of Beihang University and Key Laboratory of Big Data-Based Precision Medicine (Beihang University), Ministry of Industry and Information Technology of China, Beijing, China.
Dan LiuSchool of Engineering Medicine of Beihang University and Key Laboratory of Big Data-Based Precision Medicine (Beihang University), Ministry of Industry and Information Technology of China, Beijing, China.
Xiaolei WangSchool of Engineering Medicine of Beihang University and Key Laboratory of Big Data-Based Precision Medicine (Beihang University), Ministry of Industry and Information Technology of China, Beijing, China.
Ouya LinSchool of Engineering Medicine of Beihang University and Key Laboratory of Big Data-Based Precision Medicine (Beihang University), Ministry of Industry and Information Technology of China, Beijing, China.
Yanjun GongDepartment of Cardiology, Peking University First Hospital, Beijing, China.
Yan ZhangDepartment of Cardiology, Peking University First Hospital, Beijing, China.
Cheng LiSchool of Engineering Medicine of Beihang University and Key Laboratory of Big Data-Based Precision Medicine (Beihang University), Ministry of Industry and Information Technology of China, Beijing, China.
Jianping LiDepartment of Cardiology, Peking University First Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Statins, being the primary pharmacological intervention for hypercholesterolemia, exhibit a notable degree of interpatient variability in their effectiveness, which may be associated with gut microbiota. This study sought to identify the biomarkers for evaluating differences in statin efficacy. Methods: A quasi case-control study was conducted among participants with hypercholesterolemia and coronary heart disease taking rosuvastatin essential. According to the level of low density lipoprotein cholesterol (LDL-C), participants was divided into the "Up to standard" (US) group and the "Below standard" (BS) group. 16S rDNA sequencing and untargeted metabolomics were applied to detected the information of gut microbiota and related metabolites. Results: A total of 8 US and 8 BS group matched by age and sex were included in the final analysis. 16S rDNA sequencing results indicated that the characteristic strains of the US group were f-Eubacterium_coprostanoligenes and Conclusions: The findings suggest that the difference in statin efficacy may be related to gut microbiota strains that can produce short-chain fatty acids and secondary bile acids and affect the efficacy of statins by regulating the activities of cholesterol metabolite-related proteins. Metabolites related to short-chain fatty acids and secondary bile acids in the gut are expected to be biomarkers indicating the efficacy of statins.

Indexed as

Coronary DiseaseGastrointestinal MicrobiomeHydroxymethylglutaryl-CoA Reductase InhibitorsHypercholesterolemiaAgedBacteriaBile Acids and SaltsBiomarkersCase-Control StudiesChinaCholesterol, LDLEast Asian PeopleFecesFemaleHumansMaleBile Acids and SaltsBiomarkersCholesterol, LDLHydroxymethylglutaryl-CoA Reductase InhibitorsRNA, Ribosomal, 16SRosuvastatin Calciumbiomarkergut microbiotagut microbiota and hypercholesterolemia hypercholesteremiametabolomicsstatins

Identifiers

PMID39119290
PMCPMC11306155

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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.