Evidence map›Paper›PMID 42383353›Full record

ArticleThe Journal of clinical investigation2026

Nephrin autoimmunity: signal, noise, and a path to clarity.

Dhruti P Chen, Ronald J Falk

Abstract readComment
In one paragraph

Article in The Journal of clinical investigation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Dhruti P ChenDepartment of Medicine, UNC School of Medicine, University of North Carolina, Chapel Hill, North Carolina, USA.
Ronald J FalkDepartment of Medicine, UNC School of Medicine, University of North Carolina, Chapel Hill, North Carolina, USA.

Funding

Identifying and Targeting Autoantigen Specific B cells in ANCA VasculitisK08AI187710 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Dhruti P Chen · 2025 to 2026
$396k
NIAID NIH HHS K08 AI187710
6 · The paper itself

Abstract

Advances in antigen discovery and autoantibody profiling have reshaped the classification of autoimmune kidney diseases, moving beyond purely histologic definitions. The identification of podocyte-targeting autoantibodies has transformed the understanding of nephrotic syndrome, prompting renewed interest in autoimmune mechanisms underlying podocytopathies. Recent reports of nephrin autoantibodies in minimal change disease, the most common cause of nephrotic syndrome in children, suggested a potential antigen-defined subset, but findings have been inconsistent. In this issue of the JCI, Pecoraro and colleagues advance the field by systematically interrogating anti-nephrin antibodies across a diverse nephrotic syndrome cohort using human-based and orthogonal approaches. Their results highlight critical limitations in assay specificity and cohort heterogeneity while raising the question of the clinical utility of anti-nephrin antibodies in the care of patients with minimal change disease. More broadly, this study underscores the need for collaboration to establish standardized assays and rigorously phenotyped cohorts.

Indexed as

AutoantibodiesAutoimmune DiseasesAutoimmunityMembrane ProteinsNephrotic SyndromePodocytesAnimalsHumansAutoantibodiesMembrane Proteinsnephrin

Identifiers

PMID42383353
PMCPMC13318101

What OpenQuestion holds

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LicenceCC BY
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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.