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Record W4391754343 · doi:10.1101/2024.02.09.24301246

Spatial Multi-Omics Connect SHROOM3 and COL18A1 in Chronic Kidney Disease

2024· preprint· en· W4391754343 on OpenAlexafffund
Pukhraj S. Gaheer, Nikhil Uppal, A. Paul, Pedrum Mohammadi‐Shemirani, Nicolas Perrot, Guillaume Paré, Darren Bridgewater, Matthew B. Lanktree

Bibliographic record

VenuemedRxiv · 2024
Typepreprint
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic Associations and Epidemiology
Canadian institutionsSt. Joseph’s Healthcare HamiltonImpactMcMaster UniversityPopulation Health Research Institute
FundersCommon FundNational Institute of Neurological Disorders and StrokeNational Human Genome Research InstituteNational Heart, Lung, and Blood InstituteNational Institute of Mental HealthNIH Office of the DirectorCanadian Institutes of Health ResearchNational Cancer InstituteNational Institutes of HealthKidney Foundation of CanadaMcMaster UniversityNational Institute on Drug AbuseHelsingin Yliopisto
KeywordsOmicsComputational biologyKidney diseaseBiologyMedicineBioinformaticsInternal medicine

Abstract

fetched live from OpenAlex

Abstract Shroom Family Member 3 ( SHROOM3) encodes an actin-binding protein that impacts kidney development. Genome-wide association studies (GWAS) identified CKD-associated common variants around SHROOM3 and Shroom3 knock-out mice develop glomerular abnormalities. We sought to evaluate the impact of genetically predicted SHROOM3 expression on kidney traits and the circulating proteome, and validate findings in a mouse model. Genetic instruments for SHROOM3 expression in distinct kidney compartments (glomerular n=240, tubulointerstitial n=311) were constructed using single cell sequencing data from NephQTL2. Using two-sample Mendelian randomization, we evaluated the effects of glomerular and tubulointerstitial SHROOM3 expression on kidney traits and the concentration of 1,463 plasma proteins in the UK Biobank and CKDGen Consortium. Genetically predicted tubulointerstitial SHROOM3 expression colocalized with the genetic signals for eGFR and albuminuria. A 34% reduction in genetically predicted tubulointerstitial SHROOM3 expression was associated with a 0.3% increase in cross-sectional eGFR ( P = 6.8×10 -4 ), a 1.5% increase in albuminuria ( P = 0.01), and a 2.2% reduction in plasma COL18A1 concentration ( P = 1.2×10 -5 ). In contrast, genetically predicted glomerular SHROOM3 expression showed neither colocalization nor significant Mendelian randomization results. Using immunofluorescence, heterozygous Shroom3 knockout mice had a concordant reduction of Col18a1 in their kidneys, primarily around the tubules. Thus, reduced tubulointerstitial SHROOM3 expression, but not glomerular, is associated with increased cross-sectional eGFR, increased uACR, and reduced plasma COL18A1 and Shroom3 knockout leads to reduced kidney Col18a1, agnostically linking SHROOM3 and COL18A1 in CKD pathogenesis. Lay Summary The SHROOM3 gene is consistently linked to kidney disease, but we have yet to fully understand why. We looked at how genetic changes affecting SHROOM3 impact different regions of the kidney. We found that less SHROOM3 in kidney tubules led to increased kidney filtration, but also increased leakage of protein into the urine. After looking at over 1000 proteins, we identified a new link between SHROOM3 and a collagen protein called COL18A1. We then confirmed the link between SHROOM3 and COL18A1 by imaging the kidneys of mice designed to have less SHROOM3. Our results suggest an interaction of SHROOM3 and COL18A1 leads to increased pressure on the kidney filtration system.

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)0.001
metaresearch head score (Gemma)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.017
GPT teacher head0.285
Teacher spread0.268 · 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

Citations1
Published2024
Admission routes2
Has abstractyes

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