Evidence map›Paper›PMID 34864148›Full record

Observational studyAmerican journal of kidney diseases : the official journal of the National Kidney Foundation2022

Quantification of Glomerular Structural Lesions: Associations With Clinical Outcomes and Transcriptomic Profiles in Nephrotic Syndrome.

Jeffrey B Hodgin, Laura H Mariani, Jarcy Zee, Qian Liu, Abigail R Smith, Sean Eddy, John Hartman, Habib Hamidi, Joseph P Gaut, Matthew B Palmer and 8 more

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in American journal of kidney diseases : the official journal of the National Kidney Foundation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

13 citing papers in PubMed, 23 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Spatial transcriptomics in health and disease.Nature reviews. Nephrology · 2024
    Review
  5. Precision Medicine in Nephrology: An Integrative Framework of Multidimensional Data in the Kidney Precision Medicine Project.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2024
    Article
  6. Type I IFN in Glomerular Disease: Scarring beyond the STING.International journal of molecular sciences · 2024
    Review
  7. Article
  8. Article
  9. Article
  10. Present and future directions in diabetic kidney disease.Journal of diabetes and its complications · 2022
    Review
  11. Review
  12. Mechanisms of podocyte injury and implications for diabetic nephropathy.Clinical science (London, England : 1979) · 2022
    Article
  13. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors at 9 institutions in 1 country.

Jeffrey B HodginRenal Pathology, Department of Pathology, University of Michigan, Ann Arbor, Michigan. Electronic address: jhodgin@umich.edu.
Laura H MarianiDivision of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan.
Jarcy ZeeDepartment of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania; Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Qian LiuArbor Research Collaborative for Health, Ann Arbor, Michigan, University of Pennsylvania, Philadelphia, Pennsylvania.
Abigail R SmithArbor Research Collaborative for Health, Ann Arbor, Michigan, University of Pennsylvania, Philadelphia, Pennsylvania.
Sean EddyDivision of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan.
John HartmanDivision of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan.
Habib HamidiDivision of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan.
Joseph P GautDepartment of Pathology and Immunology, and Internal Medicine, Washington University, St. Louis, Missouri.
Matthew B PalmerDepartment of Pathology, University of Pennsylvania, Philadelphia, Pennsylvania.
Cynthia C NastDepartment of Pathology, Cedars-Sinai Medical Center, Los Angeles, California.
Anthony ChangDepartment of Pathology, University of Chicago Medicine, Chicago, Illinois.
Stephen HewittLaboratory of Pathology, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
Brenda W GillespieDepartment of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, Michigan.
Matthias KretzlerDivision of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan.
Lawrence B HolzmanRenal-Electrolyte and Hypertension Division, Department of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Laura BarisoniDepartment of Pathology, Division of AI & Computational Pathology, Duke University, Durham, North Carolina; Department of Medicine, Division of Nephrology, Duke University, Durham, North Carolina. Electronic address: laura.barisoni@duke.edu.
Nephrotic Syndrome Study Network (NEPTUNE)
University of Michigan–Ann Arbor · USWashington University in St. Louis · USUniversity of Pennsylvania · USDuke University · USArbor Research Collaborative for Health · USCedars-Sinai Medical Center · USChildren's Hospital of Philadelphia · USNational Cancer Institute · USUniversity of Chicago · US

Funding

The Impact of COVID-19 on People Living with Rare Diseases and Their FamiliesU2CTR002818 · NCATS · CINCINNATI CHILDRENS HOSP MED CTR · PI Maurizio Macaluso, Michael Wagner · 2019 to 2026
$51.2M
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
Computational Pathology of Proteinuric DiseasesR01DK118431 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI BARISONI, LAURA MARIACHIARA, HODGIN, JEFFREY BENTON · 2018 to 2025
$3.6M
Integrative Molecular Epidemiology Approach to Identify Nephrotic Syndrome SubgroupsK08DK115891 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MARIANI, LAURA H · 2018 to 2021
$678k
NCATS NIH HHS U2C TR002818NIDDK NIH HHS K08 DK115891NIDDK NIH HHS R01 DK118431NIDDK NIH HHS U54 DK083912
6 · The paper itself

Abstract

RATIONALE &

objectiveThe current classification system for focal segmental glomerulosclerosis (FSGS) and minimal change disease (MCD) does not fully capture the complex structural changes in kidney biopsies nor the clinical and molecular heterogeneity of these diseases. STUDY

designProspective observational cohort study. SETTING &

participants221 MCD and FSGS patients enrolled in the Nephrotic Syndrome Study Network (NEPTUNE). EXPOSURE: The NEPTUNE Digital Pathology Scoring System (NDPSS) was applied to generate scores for 37 glomerular descriptors. OUTCOME: Time from biopsy to complete proteinuria remission, time from biopsy to kidney disease progression (40% estimated glomerular filtration rate [eGFR] decline or kidney failure), and eGFR over time. ANALYTICAL APPROACH: Cluster analysis was used to group patients with similar morphologic characteristics. Glomerular descriptors and patient clusters were assessed for associations with outcomes using adjusted Cox models and linear mixed models. Messenger RNA from glomerular tissue was used to assess differentially expressed genes between clusters and identify genes associated with individual descriptors driving cluster membership.

resultsThree clusters were identified: X (n = 56), Y (n = 68), and Z (n = 97). Clusters Y and Z had higher probabilities of proteinuria remission (HRs of 1.95 [95% CI, 0.99-3.85] and 3.29 [95% CI, 1.52-7.13], respectively), lower hazards of disease progression (HRs of 0.22 [95% CI, 0.08-0.57] and 0.11 [95% CI, 0.03-0.45], respectively), and lower loss of eGFR over time compared with X. Cluster X had 1,920 genes that were differentially expressed compared with Y+Z; these reflected activation of pathways of immune response and inflammation. Six descriptors driving the clusters individually correlated with clinical outcomes and gene expression. LIMITATIONS: Low prevalence of some descriptors and biopsy at a single time point.

conclusionsThe NDPSS allows for categorization of FSGS/MCD patients into clinically and biologically relevant subgroups, and uncovers histologic parameters associated with clinical outcomes and molecular signatures not included in current classification systems.

Indexed as

Glomerulosclerosis, Focal SegmentalKidney DiseasesNephrosis, LipoidNephrotic SyndromeDisease ProgressionHumansPrognosisProspective StudiesProteinuriaTranscriptomeClinical outcomesdisease classificationfocal segmental glomerulosclerosis (FSGS)gene expressionglomerular diseaseglomerular structurekidney biopsyminimal change disease (MCD)molecular analysismorphologic featuresnephrotic syndromeprecision medicineproteinuriarenal pathologytranscriptomics

Identifiers

PMID34864148
PMCPMC10795715
OpenAlexW3215406299

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.