Evidence map›Paper›PMID 35128832›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2022

Multiomics Analysis Reveals the Impact of Microbiota on Host Metabolism in Hepatic Steatosis.

Mujdat Zeybel, Muhammad Arif, Xiangyu Li, Ozlem Altay, Hong Yang, Mengnan Shi, Murat Akyildiz, Burcin Saglam, Mehmet Gokhan Gonenli, Buket Yigit and 9 more

Open access · goldAbstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 2 pooled it
10.0field-weighted citation impact, top 1% 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

57 citing papers in PubMed, 2 syntheses or guidelines pooled it, 70 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Plant-DerivedNutrients · 2022
    Trial
  5. Article
  6. Article
  7. Article
  8. Article
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  12. [Analysis of the Characteristics of the Oral Virome in Metabolic Dysfunction-Associated Fatty Liver Disease].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2026
    Article
  13. SupragingivalJournal of oral microbiology · 2026
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Longitudinal big biological data in the AI era.Molecular systems biology · 2025
    Review
  19. Article
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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

19 authors at 7 institutions in 4 countries.

Mujdat ZeybelDepartment of Gastroenterology and Hepatology, School of Medicine, Koç University, Istanbul, 34010, Turkey.
Muhammad ArifScience for Life Laboratory, KTH - Royal Institute of Technology, Stockholm, SE-17121, Sweden.
Xiangyu LiScience for Life Laboratory, KTH - Royal Institute of Technology, Stockholm, SE-17121, Sweden.
Ozlem AltayScience for Life Laboratory, KTH - Royal Institute of Technology, Stockholm, SE-17121, Sweden.
Hong YangScience for Life Laboratory, KTH - Royal Institute of Technology, Stockholm, SE-17121, Sweden.
Mengnan ShiScience for Life Laboratory, KTH - Royal Institute of Technology, Stockholm, SE-17121, Sweden.
Murat AkyildizDepartment of Gastroenterology and Hepatology, School of Medicine, Koç University, Istanbul, 34010, Turkey.
Burcin SaglamDepartment of Gastroenterology and Hepatology, School of Medicine, Koç University, Istanbul, 34010, Turkey.
Mehmet Gokhan GonenliDepartment of Gastroenterology and Hepatology, School of Medicine, Koç University, Istanbul, 34010, Turkey.
Buket YigitDepartment of Gastroenterology and Hepatology, School of Medicine, Koç University, Istanbul, 34010, Turkey.
Burge UlukanDepartment of Gastroenterology and Hepatology, School of Medicine, Koç University, Istanbul, 34010, Turkey.
Dilek UralSchool of Medicine, Koç University, Istanbul, 34010, Turkey.
Saeed ShoaieScience for Life Laboratory, KTH - Royal Institute of Technology, Stockholm, SE-17121, Sweden.
Hasan TurkezDepartment of Medical Biology, Faculty of Medicine, Atatürk University, Erzurum, 25240, Turkey.
Jens NielsenDepartment of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, SE-41296, Sweden.
Cheng ZhangScience for Life Laboratory, KTH - Royal Institute of Technology, Stockholm, SE-17121, Sweden.
Mathias UhlénScience for Life Laboratory, KTH - Royal Institute of Technology, Stockholm, SE-17121, Sweden.
Jan BorénDepartment of Molecular and Clinical Medicine, University of Gothenburg and Sahlgrenska University Hospital Gothenburg, Gothenburg, SE-41345, Sweden.
Adil MardinogluScience for Life Laboratory, KTH - Royal Institute of Technology, Stockholm, SE-17121, Sweden.ORCID 0000-0002-4254-6090
Science for Life Laboratory · SEKoç University · TRKing's College London · GBAtatürk University · TRChalmers University of Technology · SENottingham University Hospitals NHS Trust · GBSahlgrenska University Hospital · SE

Funding

European Union's Horizon 2020Knut and Alice Wallenberg FoundationMarie Skłodowska-Curie 812616PoLiMeR Innovative Training NetworkScandiBio Therapeutics AB, SwedenUppsala Multidisciplinary Center for Advanced Computational Science sens2019031
6 · The paper itself

Abstract

Metabolic dysfunction-associated fatty liver disease (MAFLD) is a complex disease involving alterations in multiple biological processes regulated by the interactions between obesity, genetic background, and environmental factors including the microbiome. To decipher hepatic steatosis (HS) pathogenesis by excluding critical confounding factors including genetic variants and diabetes, 56 heterogenous MAFLD patients are characterized by generating multiomics data including oral and gut metagenomics as well as plasma metabolomics and inflammatory proteomics data. The dysbiosis in the oral and gut microbiome is explored and the host-microbiome interactions based on global metabolic and inflammatory processes are revealed. These multiomics data are integrated using the biological network and HS's key features are identified using multiomics data. HS is finally predicted using these key features and findings are validated in a follow-up cohort, where 22 subjects with varying degree of HS are characterized.

Indexed as

Fatty LiverGastrointestinal MicrobiomeMicrobiotaDysbiosisHumansMetagenomicsgut and oral metagenomicsmetabolic dysfunction-associated fatty liver diseasemetabolomicsmultiomics analysisproteomicssystems biologysystems medicine

Identifiers

PMID35128832
PMCPMC9008426
OpenAlexW4225859797

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.