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Record W7104539777 · doi:10.1681/asn.20258nmd677j

Insertions/Deletions Upstream of ZHX2 in Hispanic Patients Cause Non-HIV Collapsing Glomerulopathy (CG) Through Podocyte ZHX2 Upregulation

2025· article· en· W7104539777 on OpenAlexaff

Bibliographic record

VenueJournal of the American Society of Nephrology · 2025
Typearticle
Languageen
FieldMedicine
TopicRenal Diseases and Glomerulopathies
Canadian institutionsToronto General Hospital
Fundersnot available
KeywordsPodocyteDownregulation and upregulationGlomerulopathyUpstream (networking)KidneyKidney disease

Abstract

fetched live from OpenAlex

Background: We previously published 8 Hispanic patients with COVID-19 related CG and Insertions/Deletions (InDels) upstream of ZHX2, including 3 shared InDels (Del Nogal Avila M et al JCI Insight 2023). We also showed that sera from over 30 Hispanic patients with CG induce glomerular collapse when injected into Sprague Dawley (SD) rats inbred in Mexico City (Avila-Casado et al KI 2004). We replicated these InDels individually using CRISPR/Cas9 editing of iPS cell lines. We also studied if Parvovirus infection in rats predisposes to Zhx2 upregulation. Methods: See Below Results: Using CRISPR/Cas9, TATAAA at Chr8 122,720,313 - 122,720,318 was deleted from iPS cells and differences in Zhx2 mRNA and protein expression studied between the parent and mutated cell lines. We noted 4.85 + 0.67 fold upregulation of Zhx2 mRNA expression (P<0.0001) and increased ZHX2 protein expression (P<0.05) in the mutant clones. Two other CRISPR/Cas9 modifications are in progress. Since human transplant recipients with Parvovirus B19 infection develop CG, we injected SD rats infected with rat Parvovirus with human sera from patients with recurrent CG. These rats developed extensive CG 10 days after injection. The rats were then re-derived to make them pathogen free, and the cleaned rats did not develop proteinuria or CG after CG serum injection. Analysis of glomerular gene expression from non-injected parvovirus infected and clean rats showed significant podocyte / glomerular Zhx2 mRNA upregulation (7.16 + 2.3 fold, P<0.01) in parvovirus infected rats. After injection of CG serum, these infected rats developed further glomerular Zhx2 mRNA upregulation (Day 6, 6.3 + 0.55, P<0.001; Day 10, 5.59 + 1.84, P<0.05) compared to control serum injected rats. Finally, podocyte specific ZHX2 overexpressing transgenic rats (Mace C et al KI 2020) with > 3-fold higher podocyte Zhx2 expression develop extensive CG when injected with Adriamycin. Conclusion: Genomic defects upstream of ZHX2 in Hispanic patients with CG induce ZHX2 upregulation, that predisposes to the development of CG. These defects are likely be prevalent worldwide except for patients of West African heritage. Funding: NIDDK Support

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.011
GPT teacher head0.283
Teacher spread0.273 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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