Evidence map›Paper›PMID 33048844›Full record

ArticleThe Journal of clinical investigation2021

Identification of human long noncoding RNAs associated with nonalcoholic fatty liver disease and metabolic homeostasis.

Xiangbo Ruan, Ping Li, Yonghe Ma, Cheng-Fei Jiang, Yi Chen, Yu Shi, Nikhil Gupta, Fayaz Seifuddin, Mehdi Pirooznia, Yasuyuki Ohnishi and 8 more

Open access · hybridAbstract read
In one paragraph

Article in The Journal of clinical investigation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

33 citing papers in PubMed, 50 citations in OpenAlex.

  1. Article
  2. Review
  3. The long non-coding RNAFrontiers in nutrition · 2026
    Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Review
  14. LncRNAeLife · 2024
    Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. 'Lnc-ing' TNature aging · 2023
    Article
  20. Review
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

18 authors at 4 institutions in 2 countries.

Xiangbo RuanCardiovascular Branch, National Heart, Lung, and Blood Institute, NIH, Bethesda, Maryland, USA.
Ping LiCardiovascular Branch, National Heart, Lung, and Blood Institute, NIH, Bethesda, Maryland, USA.
Yonghe MaCardiovascular Branch, National Heart, Lung, and Blood Institute, NIH, Bethesda, Maryland, USA.
Cheng-Fei JiangCardiovascular Branch, National Heart, Lung, and Blood Institute, NIH, Bethesda, Maryland, USA.
Yi ChenCardiovascular Branch, National Heart, Lung, and Blood Institute, NIH, Bethesda, Maryland, USA.
Yu ShiCardiovascular Branch, National Heart, Lung, and Blood Institute, NIH, Bethesda, Maryland, USA.
Nikhil GuptaCardiovascular Branch, National Heart, Lung, and Blood Institute, NIH, Bethesda, Maryland, USA.
Fayaz SeifuddinBioinformatics and Computational Biology, National Heart, Lung, and Blood Institute, NIH, Bethesda, Maryland, USA.
Mehdi PiroozniaBioinformatics and Computational Biology, National Heart, Lung, and Blood Institute, NIH, Bethesda, Maryland, USA.
Yasuyuki OhnishiLaboratory Animal Research Department, Biomedical Research Laboratory, Central Institute for Experimental Animals, Kawasaki, Japan.
Nao YonedaLaboratory Animal Research Department, Biomedical Research Laboratory, Central Institute for Experimental Animals, Kawasaki, Japan.
Megumi NishiwakiLaboratory Animal Research Department, Biomedical Research Laboratory, Central Institute for Experimental Animals, Kawasaki, Japan.
Gabrijela DumbovicDepartment of Biochemistry and BioFrontiers, University of Colorado Boulder, Boulder, Colorado, USA.
John L RinnDepartment of Biochemistry and BioFrontiers, University of Colorado Boulder, Boulder, Colorado, USA.
Yuichiro HiguchiLaboratory Animal Research Department, Biomedical Research Laboratory, Central Institute for Experimental Animals, Kawasaki, Japan.
Kenji KawaiDepartment Pathology Analysis Center, Central Institute for Experimental Animals, Kawasaki, Japan.
Hiroshi SuemizuLaboratory Animal Research Department, Biomedical Research Laboratory, Central Institute for Experimental Animals, Kawasaki, Japan.
Haiming CaoCardiovascular Branch, National Heart, Lung, and Blood Institute, NIH, Bethesda, Maryland, USA.
National Heart Lung and Blood Institute · USCentral Institute for Experimental Animals · JPUniversity of Colorado Boulder · USShizuoka University · JP

Funding

Molecular Basis of Obesity and Obesity-induced Metabolic DiseasesZIAHL006103 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI CAO, HAIMING · 2011 to 2025
$19.8M
Modeling Type II Diabetes and Lipodystrophy Using Patient-Specific iPS CellsZIAHL006159 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI CAO, HAIMING · 2012 to 2025
$14.2M
Bioinformatics CoreZICHL006228 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI PIROOZNIA, MEHDI · 2017 to 2021
$6.6M
Intramural NIH HHS ZIA HL006103Intramural NIH HHS ZIA HL006159
6 · The paper itself

Abstract

A growing number of long noncoding RNAs (lncRNAs) have emerged as vital metabolic regulators. However, most human lncRNAs are nonconserved and highly tissue specific, vastly limiting our ability to identify human lncRNA metabolic regulators (hLMRs). In this study, we established a pipeline to identify putative hLMRs that are metabolically sensitive, disease relevant, and population applicable. We first progressively processed multilevel human transcriptome data to select liver lncRNAs that exhibit highly dynamic expression in the general population, show differential expression in a nonalcoholic fatty liver disease (NAFLD) population, and respond to dietary intervention in a small NAFLD cohort. We then experimentally demonstrated the responsiveness of selected hepatic lncRNAs to defined metabolic milieus in a liver-specific humanized mouse model. Furthermore, by extracting a concise list of protein-coding genes that are persistently correlated with lncRNAs in general and NAFLD populations, we predicted the specific function for each hLMR. Using gain- and loss-of-function approaches in humanized mice as well as ectopic expression in conventional mice, we validated the regulatory role of one nonconserved hLMR in cholesterol metabolism by coordinating with an RNA-binding protein, PTBP1, to modulate the transcription of cholesterol synthesis genes. Our work overcame the heterogeneity intrinsic to human data to enable the efficient identification and functional definition of disease-relevant human lncRNAs in metabolic homeostasis.

Indexed as

Databases, Nucleic AcidNon-alcoholic Fatty Liver DiseaseRNA, Long NoncodingAnimalsHomeostasisHumansMiceRNA, Long NoncodingGastroenterologyHepatitisMetabolismNoncoding RNAsObesity

Identifiers

PMID33048844
PMCPMC7773374
OpenAlexW3091968241

What OpenQuestion holds

Textmetadata
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.