Evidence map›Paper›PMID 31547518›Full record

ArticleJournal of clinical medicine2019

Rethinking Lupus Nephritis Classification on a Molecular Level.

Salem Almaani, Stephenie D Prokopec, Jianying Zhang, Lianbo Yu, Carmen Avila-Casado, Joan Wither, James W Scholey, Valeria Alberton, Ana Malvar, Samir V Parikh and 3 more

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

25 citing papers in PubMed, 37 citations in OpenAlex.

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  9. Galectin-3: action and clinical utility in chronic kidney disease.International urology and nephrology · 2024
    Review
  10. Lupus Nephritis from Pathogenesis to New Therapies: An Update.International journal of molecular sciences · 2024
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 5 institutions in 3 countries.

Salem AlmaaniDivision of Nephrology, The Ohio State University, Columbus, OH 43210, USA. almaani.1@osu.edu.
Stephenie D ProkopecOntario Institute for Cancer Research, Toronto, ON M5G 0A3, Canada. Stephenie.Prokopec@oicr.on.ca.ORCID 0000-0001-7936-8577
Jianying ZhangDivision of Biostatistics, Department of Information Sciences, City of Hope National Medical Center, Duarte, CA 90095, USA. jianzhang@coh.org.
Lianbo YuDepartment of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, OH 43210, USA. Lianbo.Yu@osumc.edu.
Carmen Avila-CasadoDepartment of Pathology, Toronto General Hospital, University Health Network, Toronto, ON M5G 2C4, Canada. carmen.avila-casado@uhn.ca.
Joan WitherDivision of Rheumatology, University Hospital Network, Toronto, ON, Canada. Joan.Wither@uhnresearch.ca.
James W ScholeyDivision of Nephrology, Department of Medicine, Toronto General Hospital, University Health Network, Toronto, ON M5G 2C4, Canada. james.scholey@utoronto.ca.
Valeria AlbertonHospital Fernandez, Buenos Aires 1900, Argentina. vgalberton@yahoo.com.ar.
Ana MalvarHospital Fernandez, Buenos Aires 1900, Argentina. avmperrin@yahoo.com.ar.
Samir V ParikhDivision of Nephrology, The Ohio State University, Columbus, OH 43210, USA. Samir.Parikh@osumc.edu.
Paul C BoutrosOntario Institute for Cancer Research, Toronto, ON M5G 0A3, Canada. PBoutros@mednet.ucla.edu.ORCID 0000-0003-0553-7520
Brad H RovinDivision of Nephrology, The Ohio State University, Columbus, OH 43210, USA. rovin.1@osu.edu.
Heather N ReichDivision of Nephrology, Department of Medicine, Toronto General Hospital, University Health Network, Toronto, ON M5G 2C4, Canada. Heather.Reich@uhn.ca.
The Ohio State University · USUniversity Health Network · CAHospital Fernández · AROntario Institute for Cancer Research · CACity Of Hope National Medical Center · US

Funding

Alliance for Lupus Research .
6 · The paper itself

Abstract

The International Society of Nephrology/Renal Pathology Society (ISN/RPS) lupus nephritis (LN) classification is under reconsideration, given challenges with inter-rater reliability and resultant inconsistent relationship with treatment response. Integration of molecular classifiers into histologic evaluation can improve diagnostic precision and identify therapeutic targets. This study described the relationship between histological and molecular phenotypes and clinical responses in LN. Renal compartmental mRNA abundance was measured in 54 biopsy specimens from LN patients and correlated to ISN/RPS classification and individual histologic lesions. A subset of transcripts was also evaluated in sequential biopsies of a separate longitudinal cohort of 36 patients with paired samples obtained at the time of flare and at follow up. Unsupervised clustering based on mRNA abundance did not demonstrate a relationship with the (ISN/RPS) classification, nor did univariate statistical analysis. Exploratory analyses suggested a correlation with individual histologic lesions. Glomerular FN1 (fibronectin), SPP1 (secreted phosphoprotein 1), and LGALS3 (galectin 3) abundance correlated with disease activity and changed following treatment. Exploratory analyses suggested relationships between specific transcripts and individual histologic lesions, with the important representation of interferon-regulated genes. Our findings suggested that the current LN classification could be refined by the inclusion of molecular descriptors. Combining molecular and pathologic kidney biopsy phenotypes may hold promise to better classify disease and identify actionable treatment targets and merits further exploration in larger cohorts.

Indexed as

ISN/RPS classificationlupus nephritismRNA

Identifiers

PMID31547518
PMCPMC6832959
OpenAlexW2973460334

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.