Evidence map›Paper›PMID 31558683›Full record

ArticleJournal of the American Society of Nephrology : JASN2019

APOL1 Kidney Risk Variants Induce Cell Death

Shrijal S Shah, Herbert Lannon, Leny Dias, Jia-Yue Zhang, Seth L Alper, Martin R Pollak, David J Friedman

Abstract read
In one paragraph

Article in Journal of the American Society of Nephrology : JASN, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing 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

58 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. A novelRenal failure · 2025
    Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Defining Risk in APOL1-Associated Kidney Disease: The Story is Evolving!American journal of kidney diseases : the official journal of the National Kidney Foundation · 2024
    Article
  12. Collapsing Glomerulopathy.Advances in kidney disease and health · 2024
    Review
  13. Article
  14. Vascular damage in systemic lupus erythematosus.Nature reviews. Nephrology · 2024
    Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Novel Therapies inKidney international reports · 2023
    Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Shrijal S ShahRenal Division, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts.
Herbert LannonRenal Division, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0001-7209-4788
Leny DiasRenal Division, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts.
Jia-Yue ZhangRenal Division, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts.
Seth L AlperRenal Division, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts.
Martin R PollakRenal Division, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts.
David J FriedmanRenal Division, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts dfriedma@bidmc.harvard.edu.

Funding

STRUCTURE-FUNCTION RELATIONSHIPS IN THE ALIMENTARY TRACTP30DK034854 · NIDDK · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI WAYNE I LENCER · 1986 to 2026
$32.4M
Molecular Mechanism of APOL1 Associated Kidney DiseaseR01MD007898 · NIMHD · BETH ISRAEL DEACONESS MEDICAL CENTER · PI ALPER, SETH LEO, POLLAK, MARTIN R. · 2013 to 2017
$2.2M
NIDDK NIH HHS P30 DK034854NIMHD NIH HHS R01 MD007898
6 · The paper itself

Abstract

backgroundGenetic Variants in Apolipoprotein L1 (APOL1) are associated with large increases in CKD rates among African Americans. Experiments in cell and mouse models suggest that these risk-related polymorphisms are toxic gain-of-function variants that cause kidney dysfunction, following a recessive mode of inheritance. Recent data in trypanosomes and in human cells indicate that such variants may cause toxicity through their effects on mitochondria.

methodsTo examine the molecular mechanisms underlying

resultsWe found that the APOL1 G0 and risk variant proteins shared the same import pathway into the mitochondrial matrix. Once inside, G0 remained monomeric, whereas risk variant proteins were prone to forming higher-order oligomers. Both nonrisk G0 and risk variant proteins bound components of the mitochondrial permeability transition pore, but only risk variant proteins activated pore opening. Blocking mitochondrial import of APOL1 risk variants largely eliminated oligomer formation and also rescued toxicity.

conclusionsOur study illuminates important differences in the molecular behavior of APOL1 nonrisk and risk variants, and our observations suggest a mechanism that may explain the very different functional effects of these variants, despite the lack of consistently observed differences in trafficking patterns, intracellular localization, or binding partners. Variant-dependent differences in oligomerization pattern may underlie APOL1's recessive, gain-of-function biology.

Indexed as

Apolipoprotein L1Cell DeathCell RespirationGain of Function MutationGenetic Predisposition to DiseaseHEK293 CellsHumansKidney Failure, ChronicMitochondrial Membrane Transport ProteinsMitochondrial Permeability Transition PoreProtein MultimerizationProtein TransportRecombinant ProteinsRNA InterferenceRNA, Small InterferingAPOL1 protein, humanApolipoprotein L1Mitochondrial Membrane Transport ProteinsMitochondrial Permeability Transition PoreRecombinant ProteinsRNA, Small InterferingAPOL1chronic kidney diseasefocal segmental glomerulosclerosisgenetic renal diseasemitochondria

Identifiers

PMID31558683
PMCPMC6900802

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.