Evidence map›Paper›PMID 35227689›Full record

ArticleKidney international2022

Digital spatial profiling of collapsing glomerulopathy.

Kelly D Smith, David K Prince, Kammi J Henriksen, Roberto F Nicosia, Charles E Alpers, Shreeram Akilesh

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 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.9field-weighted citation impact, top 8% 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

21 citing papers in PubMed, 33 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Rigor and Reproducibility of Spatial Transcriptomics Performed on Clinically Sourced Human Tissues.Laboratory investigation; a journal of technical methods and pathology · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Collapsing Glomerulopathy.Advances in kidney disease and health · 2024
    Review
  14. Article
  15. Article
  16. Review
  17. Review
  18. Collapsing glomerulopathy: unraveling varied pathogeneses.Current opinion in nephrology and hypertension · 2023
    Review
  19. Article
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Kelly D SmithDepartment of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, USA; Kidney Research Institute, Seattle, Washington, USA. Electronic address: kelsmith@uw.edu.
David K PrinceKidney Research Institute, Seattle, Washington, USA.
Kammi J HenriksenDepartment of Pathology, University of Chicago, Chicago, Illinois, USA.
Roberto F NicosiaDepartment of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, USA.
Charles E AlpersDepartment of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, USA; Kidney Research Institute, Seattle, Washington, USA.
Shreeram AkileshDepartment of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, USA; Kidney Research Institute, Seattle, Washington, USA. Electronic address: shreeram@uw.edu.
University of Washington · USUniversity of Chicago · US

Funding

Tissue Chip Data to the Microphysiology Systems Database (MPS-Db) Supplement to A Microphysiological System for Kidney Disease Modeling and Drug Efficacy TestingUH3TR002158 · NCATS · UNIVERSITY OF WASHINGTON · PI HIMMELFARB, JONATHAN · 2019 to 2021
$4.2M
Mechanisms of Kidney Injury in COVID-19R01DK130386 · NIDDK · UNIVERSITY OF WASHINGTON · PI AKILESH, SHREERAM, FREEDMAN, BENJAMIN SOLOMON · 2021 to 2023
$1.2M
NCATS NIH HHS UH3 TR002158NIDDK NIH HHS R01 DK130386
6 · The paper itself

Abstract

Collapsing glomerulopathy is a histologically distinct variant of focal and segmental glomerulosclerosis that presents with heavy proteinuria and portends a poor prognosis. Collapsing glomerulopathy can be triggered by viral infections such as HIV or SARS-CoV-2. Transcriptional profiling of collapsing glomerulopathy lesions is difficult since only a few glomeruli may exhibit this histology within a kidney biopsy and the mechanisms driving this heterogeneity are unknown. Therefore, we used recently developed digital spatial profiling (DSP) technology which permits quantification of mRNA at the level of individual glomeruli. Using DSP, we profiled 1,852 transcripts in glomeruli isolated from formalin fixed paraffin embedded sections from HIV or SARS-CoV-2-infected patients with biopsy-confirmed collapsing glomerulopathy and used normal biopsy sections as controls. Even though glomeruli with collapsing features appeared histologically similar across both groups of patients by light microscopy, the increased resolution of DSP uncovered intra- and inter-patient heterogeneity in glomerular transcriptional profiles that were missed in early laser capture microdissection studies of pooled glomeruli. Focused validation using immunohistochemistry and RNA in situ hybridization showed good concordance with DSP results. Thus, DSP represents a powerful method to dissect transcriptional programs of pathologically discernible kidney lesions.

Indexed as

COVID-19Glomerulosclerosis, Focal SegmentalHIV InfectionsKidney DiseasesFemaleHumansKidney GlomerulusMaleSARS-CoV-2collapsing glomerulopathyCOVID-19–associated nephropathydigital spatial profilingHIV-associated nephropathykidney biopsykidney pathology

Identifiers

PMID35227689
PMCPMC9038707
OpenAlexW4214554346

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.