Evidence map›Paper›PMID 38753486›Full record

ArticleCell reports2024

linc-ADAIN, a human adipose lincRNA, regulates adipogenesis by modulating KLF5 and IL-8 mRNA stability.

Marcella E O'Reilly, Sebastian Ho, Johana Coronel, Lucie Zhu, Wen Liu, Chenyi Xue, Eunyoung Kim, Esther Cynn, Caio V Matias, Rajesh Kumar Soni and 8 more

Abstract read
In one paragraph

Article in Cell reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. IMPlications of IMP2 in RNA Biology and Disease.International journal of molecular sciences · 2025
    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.

Marcella E O'ReillyCardiometabolic Genomics Program, Division of Cardiology, Department of Medicine, Columbia University Medical Center, New York, NY, USA.
Sebastian HoCardiometabolic Genomics Program, Division of Cardiology, Department of Medicine, Columbia University Medical Center, New York, NY, USA.
Johana CoronelCardiometabolic Genomics Program, Division of Cardiology, Department of Medicine, Columbia University Medical Center, New York, NY, USA.
Lucie ZhuCardiometabolic Genomics Program, Division of Cardiology, Department of Medicine, Columbia University Medical Center, New York, NY, USA.
Wen LiuCardiometabolic Genomics Program, Division of Cardiology, Department of Medicine, Columbia University Medical Center, New York, NY, USA.
Chenyi XueCardiometabolic Genomics Program, Division of Cardiology, Department of Medicine, Columbia University Medical Center, New York, NY, USA.
Eunyoung KimCardiometabolic Genomics Program, Division of Cardiology, Department of Medicine, Columbia University Medical Center, New York, NY, USA.
Esther CynnCardiometabolic Genomics Program, Division of Cardiology, Department of Medicine, Columbia University Medical Center, New York, NY, USA.
Caio V MatiasCardiometabolic Genomics Program, Division of Cardiology, Department of Medicine, Columbia University Medical Center, New York, NY, USA.
Rajesh Kumar SoniProteomics and Macromolecular Crystallography Shared Resource, Herbert Irving Comprehensive Cancer Center, Columbia University Medical Center, New York, NY, USA.
Chen WangDepartment of Statistics, Mailman School of Public Health, Columbia University Medical Center, New York, NY, USA.
Iuliana Ionita-LazaDepartment of Statistics, Mailman School of Public Health, Columbia University Medical Center, New York, NY, USA.
Robert C BauerCardiometabolic Genomics Program, Division of Cardiology, Department of Medicine, Columbia University Medical Center, New York, NY, USA.
Leila RossCardiometabolic Genomics Program, Division of Cardiology, Department of Medicine, Columbia University Medical Center, New York, NY, USA.
Yiying ZhangDivision of Molecular Genetics, Department of Pediatrics, Columbia University Medical Center, New York, NY, USA.
Silvia CorveraProgram in Molecular Medicine, University of Massachusetts Medical School, Worcester, MA 01605, USA.
Susan K FriedDiabetes, Obesity, and Metabolism Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Muredach P ReillyCardiometabolic Genomics Program, Division of Cardiology, Department of Medicine, Columbia University Medical Center, New York, NY, USA; Irving Institute for Clinical and Translational Research, Columbia University, New York, NY 10032, USA. Electronic address: mpr2144@cumc.columbia.edu.

Funding

Clinical and Translational Science AwardUL1TR001873 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI REILLY, MUREDACH P · 2016 to 2025
$99.0M
Elucidation of Tissue-Specific Transcriptomic Profiles in Cardiometabolic DiseaseR01HL113147 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI LI, MINGYAO, REILLY, MUREDACH P · 2012 to 2022
$6.8M
Adipose Tissue Angiogenesis and Metabolic DiseaseR01DK089101 · NIDDK · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI CORVERA, SILVIA · 2011 to 2024
$5.7M
Mechanisms of human adipose tissue development and impact of diabetesR01DK123028 · NIDDK · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI Silvia Corvera · 2019 to 2026
$3.6M
Human adipose tissue in control of sympathetic tone and metabolic rateR01DK137403 · NIDDK · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI Silvia Corvera · 2023 to 2026
$2.9M
Smooth muscle cell-derived cell fates and cellular interactions in atherosclerotic plaque stability in disease progression and regression.R01HL166916 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Muredach P Reilly · 2023 to 2026
$2.8M
Human LincRNAs in Macrophage Biology and Related Cardiometabolic DiseasesR01HL132561 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI REILLY, MUREDACH P · 2017 to 2020
$2.8M
Computational and functional strategies to decipher lncRNAs in human atherosclerosisR01HL150359 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI LI, MINGYAO, REILLY, MUREDACH P · 2020 to 2023
$2.7M
NCATS NIH HHS UL1 TR001873NHLBI NIH HHS R01 HL113147NHLBI NIH HHS R01 HL132561NHLBI NIH HHS R01 HL150359NHLBI NIH HHS R01 HL166916NIDDK NIH HHS R01 DK089101NIDDK NIH HHS R01 DK123028NIDDK NIH HHS R01 DK137403
6 · The paper itself

Abstract

Adipose tissue remodeling and dysfunction, characterized by elevated inflammation and insulin resistance, play a central role in obesity-related development of type 2 diabetes (T2D) and cardiovascular diseases. Long intergenic non-coding RNAs (lincRNAs) are important regulators of cellular functions. Here, we describe the functions of linc-ADAIN (adipose anti-inflammatory), an adipose lincRNA that is downregulated in white adipose tissue of obese humans. We demonstrate that linc-ADAIN knockdown (KD) increases KLF5 and interleukin-8 (IL-8) mRNA stability and translation by interacting with IGF2BP2. Upregulation of KLF5 and IL-8, via linc-ADAIN KD, leads to an enhanced adipogenic program and adipose tissue inflammation, mirroring the obese state, in vitro and in vivo. KD of linc-ADAIN in human adipose stromal cell (ASC) hTERT adipocytes implanted into mice increases adipocyte size and macrophage infiltration compared to implanted control adipocytes, mimicking hallmark features of obesity-induced adipose tissue remodeling. linc-ADAIN is an anti-inflammatory lincRNA that limits adipose tissue expansion and lipid storage.

Indexed as

AdipogenesisInterleukin-8Kruppel-Like Transcription FactorsRNA, Long NoncodingRNA StabilityAdipocytesAdipose TissueAnimalsHumansInflammationMiceObesityRNA-Binding ProteinsRNA, MessengerIGF2BP2 protein, humanInterleukin-8KLF5 protein, humanKruppel-Like Transcription FactorsRNA-Binding ProteinsRNA, Long NoncodingRNA, MessengeradipogenesisCP: MetabolismCP: Molecular biologyHuRIGF2BP2IL-8KLF5linc01230linc-ADAINlinc-DMRT2long non-coding RNAobesity

Identifiers

PMID38753486
PMCPMC11334222

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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.