Evidence map›Paper›PMID 27760046›Full record

ArticleThe Journal of clinical investigation2016

The long noncoding RNA Tug1 connects metabolic changes with kidney disease in podocytes.

Szu Yuan Li, Katalin Susztak

Abstract readComment
In one paragraph

Article in The Journal of clinical investigation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing 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

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

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Review
  9. lncRNA TUG1 and kidney diseases.BMC nephrology · 2025
    Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. LncRNAs in oncogenic microenvironment: from threat to therapy.Frontiers in cell and developmental biology · 2024
    Review
  15. Article
  16. Review
  17. Molecular pathways that drive diabetic kidney disease.The Journal of clinical investigation · 2023
    Review
  18. PGC1Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2022
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Szu Yuan Li
Katalin Susztak

Funding

Role of the Notch Pathway in Kidney InjuryR01DK076077 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI KATALIN SUSZTAK · 2007 to 2026
$8.0M
Epigenetics of Chronic Kidney DiseaseR01DK087635 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI KATALIN SUSZTAK · 2009 to 2026
$7.0M
Epigenetic drivers and biomarkers of diabetic kidney diseaseDP3DK108220 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI SUSZTAK, KATALIN · 2015 to 2015
$2.4M
NIDDK NIH HHS DP3 DK108220NIDDK NIH HHS R01 DK076077NIDDK NIH HHS R01 DK087635
6 · The paper itself

Abstract

An increasing amount of evidence suggests that metabolic alterations play a key role in chronic kidney disease (CKD) pathogenesis. In this issue of the JCI, Long et al. report that the long noncoding RNA (lncRNA) taurine-upregulated 1 (Tug1) contributes to CKD development. The authors show that Tug1 regulates mitochondrial function in podocytes by epigenetic targeting of expression of the transcription factor PPARγ coactivator 1α (PGC-1α, encoded by Ppargc1a). Transgenic overexpression of Tug1 specifically in podocytes ameliorated diabetes-induced CKD in mice. Together, these results highlight an important connection between lncRNA-mediated metabolic alterations in podocytes and kidney disease development.

Indexed as

Diabetic NephropathiesEpigenesis, GeneticMitochondriaPodocytesRenal Insufficiency, ChronicRNA, Long NoncodingAnimalsMicePeroxisome Proliferator-Activated Receptor Gamma Coactivator 1-alphaTransgeneslong non-coding RNA TUG1, mousePeroxisome Proliferator-Activated Receptor Gamma Coactivator 1-alphaPpargc1a protein, mouseRNA, Long Noncoding

Identifiers

PMID27760046
PMCPMC5096895

What OpenQuestion holds

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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.