Evidence map›Paper›PMID 34929253›Full record

ArticleKidney international2022

A glomerular transcriptomic landscape of apolipoprotein L1 in Black patients with focal segmental glomerulosclerosis.

Michelle T McNulty, Damian Fermin, Felix Eichinger, Dongkeun Jang, Matthias Kretzler, Noël P Burtt, Martin R Pollak, Jason Flannick, Astrid Weins, David J Friedman and 2 more

Open access · greenAbstract read
In one paragraph

Article in Kidney international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

9 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Precision medicine for focal segmental glomerulosclerosis.Kidney research and clinical practice · 2024
    Article
  7. Article
  8. HDL and chronic kidney disease.Atherosclerosis plus · 2023
    Article
  9. Mechanisms of podocyte injury and implications for diabetic nephropathy.Clinical science (London, England : 1979) · 2022
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 5 institutions in 1 country.

Michelle T McNultyDivision of Pediatric Nephrology, Boston Children's Hospital, Boston, Massachusetts, USA; Kidney Disease Initiative, Broad Institute, Cambridge, Massachusetts, USA.
Damian FerminDivision of Nephrology, Department of Internal Medicine, Michigan Medicine, Ann Arbor, Michigan, USA.
Felix EichingerDivision of Nephrology, Department of Internal Medicine, Michigan Medicine, Ann Arbor, Michigan, USA.
Dongkeun JangProgram in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts, USA.
Matthias KretzlerDivision of Nephrology, Department of Internal Medicine, Michigan Medicine, Ann Arbor, Michigan, USA.
Noël P BurttProgram in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts, USA; Metabolism Program, Broad Institute, Cambridge, Massachusetts, USA.
Martin R PollakHarvard Medical School, Boston, Massachusetts, USA; Division of Nephrology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA.
Jason FlannickProgram in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts, USA; Metabolism Program, Broad Institute, Cambridge, Massachusetts, USA; Harvard Medical School, Boston, Massachusetts, USA; Division of Genetics, Department of Pediatrics, Boston Children's Hospital, Boston, Massachusetts, USA.
Astrid WeinsHarvard Medical School, Boston, Massachusetts, USA.
David J FriedmanHarvard Medical School, Boston, Massachusetts, USA; Division of Nephrology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA.
Nephrotic Syndrome Study Network (NEPTUNE)
Matthew G SampsonDivision of Pediatric Nephrology, Boston Children's Hospital, Boston, Massachusetts, USA; Kidney Disease Initiative, Broad Institute, Cambridge, Massachusetts, USA; Harvard Medical School, Boston, Massachusetts, USA. Electronic address: matthew.sampson@childrens.harvard.edu.
Broad Institute · USBeth Israel Deaconess Medical Center · USMichigan Medicine · USBoston Children's Hospital · USHarvard University · US

Funding

Training Program in Clinical & Translationa Research in Human Glomerular DiseaseU54DK083912 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KRETZLER, MATTHIAS · 2009 to 2023
$20.3M
The next iteration of the AMP-T2D Knowledge PortalUM1DK105554 · NIDDK · BROAD INSTITUTE, INC. · PI BOEHNKE, MICHAEL L, BURTT, NOEL P · 2020 to 2025
$18.5M
Integrating large scale genomics and functional studies to accelerate FSGS/NS discoveryRC2DK122397 · NIDDK · BETH ISRAEL DEACONESS MEDICAL CENTER · PI HILDEBRANDT, FRIEDHELM, POLLAK, MARTIN R. · 2020 to 2024
$7.4M
APOL1 variants: Understanding the basis of disparities in rates of kidney diseaseR01MD007092 · NIMHD · BETH ISRAEL DEACONESS MEDICAL CENTER · PI FRIEDMAN, DAVID J, POLLAK, MARTIN R. · 2012 to 2021
$4.3M
Whole Genome Sequencing for Nephrotic Syndrome DiscoveryR01DK119380 · NIDDK · BOSTON CHILDREN'S HOSPITAL · PI Dongwon Lee, MATTHEW Gordon SAMPSON · 2019 to 2026
$3.7M
The Association to Function Knowledge Portal: a genomic data resource for translating GWAS associations to biological effectsU24HG011453 · NHGRI · BROAD INSTITUTE, INC. · PI BURTT, NOEL P, FLANNICK, JASON · 2021 to 2025
$3.4M
APOL1 - associated nephropathy from human-derived, intrarenal perspectiveR01DK108805 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MATTHEW Gordon SAMPSON, Simone Sanna-Cherchi · 2016 to 2026
$3.4M
NHGRI NIH HHS U24 HG011453NIDDK NIH HHS R01 DK108805NIDDK NIH HHS R01 DK119380NIDDK NIH HHS RC2 DK122397NIDDK NIH HHS U54 DK083912NIDDK NIH HHS UM1 DK105554NIMHD NIH HHS R01 MD007092
6 · The paper itself

Abstract

Apolipoprotein L1 (APOL1)-associated focal segmental glomerulosclerosis (FSGS) is the dominant form of FSGS in Black individuals. There are no targeted therapies for this condition, in part because the molecular mechanisms underlying APOL1's pathogenic contribution to FSGS are incompletely understood. Studying the transcriptomic landscape of APOL1 FSGS in patient kidneys is an important way to discover genes and molecular behaviors that are unique or most relevant to the human disease. With the hypothesis that the pathology driven by the high-risk APOL1 genotype is reflected in alteration of gene expression across the glomerular transcriptome, we compared expression and co-expression profiles of 15,703 genes in 16 Black patients with FSGS at high-risk vs 14 Black patients with a low-risk APOL1 genotype. Expression data from APOL1-inducible HEK293 cells and normal human glomeruli were used to pursue genes and molecular pathways uncovered in these studies. We discovered increased expression of APOL1 and nine other significant differentially expressed genes in high-risk patients. This included stanniocalcin, which has a role in mitochondrial and calcium-related processes along with differential correlations between high- and low-risk APOL1 and metabolism pathway genes. There were similar correlations with extracellular matrix- and immune-related genes, but significant loss of co-expression of mitochondrial genes in high-risk FSGS, and an NF-κB-down regulating gene, NKIRAS1, as the most significant hub gene with strong differential correlations with NDUF family (mitochondrial respiratory genes) and immune-related (JAK-STAT) genes. Thus, differences in mitochondrial gene regulation appear to underlie many differences observed between high- and low-risk Black patients with FSGS.

Indexed as

Apolipoprotein L1Glomerulosclerosis, Focal SegmentalHEK293 CellsHumansKidney GlomerulusTranscriptomeAPOL1 protein, humanApolipoprotein L1focal segmental glomerular sclerosisgene expressionglomerulusmitochondrianephrotic syndrome

Identifiers

PMID34929253
PMCPMC9206042
OpenAlexW4200209764

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.