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Record W2289592036 · doi:10.1038/ncomms10822

FAT1 mutations cause a glomerulotubular nephropathy

2016· article· en· W2289592036 on OpenAlexaff
Heon Yung Gee, Carolin E. Sadowski, Pardeep Aggarwal, Jonathan D. Porath, Toma A. Yakulov, Markus Schueler, Svjetlana Lovric, Shazia Ashraf, Daniela A. Braun, Jan Halbritter, Humphrey Fang, Rannar Airik, Virginia Vega-Warner, Kyeong Jee Cho, Timothy A. Chan, Luc G.T. Morris, Charles ffrench‐Constant, Nicholas D. Allen, Helen McNeill, Rainer Büscher, Henriette Kyrieleis, Michael Wallot, Ariana Gaspert, Thomas Kistler, David V. Milford, Moin A. Saleem, Wee Teik Keng, Stephen I. Alexander, Rudolph P. Valentini, Christoph Licht, Jun Chuan Teh, Radovan Bogdanović, Ania Koziell, Agnieszka Bierżyńska, Neveen A. Soliman, Edgar A. Otto, Richard P. Lifton, Lawrence B. Holzman, Nicholas Sibinga, Gerd Walz, Alda Tufró, Friedhelm Hildebrandt

Bibliographic record

VenueNature Communications · 2016
Typearticle
Languageen
FieldMedicine
TopicRenal Diseases and Glomerulopathies
Canadian institutionsHospital for Sick ChildrenLunenfeld-Tanenbaum Research InstituteUniversity of TorontoSickKids FoundationMount Sinai Hospital
FundersNational Institute of Dental and Craniofacial ResearchNational Institute of Diabetes and Digestive and Kidney DiseasesNational Heart, Lung, and Blood InstituteKing's College LondonNational Research Foundation of KoreaDeutsche ForschungsgemeinschaftNational Cancer InstituteNational Research FoundationNational Institutes of HealthKidney Research UKASN Foundation for Kidney ResearchNational Human Genome Research InstituteWellcome TrustNational Institute for Health and Care ResearchMedical Research CouncilNephcure FoundationHoward Hughes Medical Institute
KeywordsPodocyteRAC1PathogenesisZebrafishCancer researchBiologyGene knockdownTubulopathyCell biologyNephropathyKidney diseaseKidneyInternal medicineEndocrinologyMedicineImmunologyDiabetes mellitusGeneticsSignal transductionProteinuriaApoptosisGene

Abstract

fetched live from OpenAlex

Steroid-resistant nephrotic syndrome (SRNS) causes 15% of chronic kidney disease (CKD). Here we show that recessive mutations in FAT1 cause a distinct renal disease entity in four families with a combination of SRNS, tubular ectasia, haematuria and facultative neurological involvement. Loss of FAT1 results in decreased cell adhesion and migration in fibroblasts and podocytes and the decreased migration is partially reversed by a RAC1/CDC42 activator. Podocyte-specific deletion of Fat1 in mice induces abnormal glomerular filtration barrier development, leading to podocyte foot process effacement. Knockdown of Fat1 in renal tubular cells reduces migration, decreases active RAC1 and CDC42, and induces defects in lumen formation. Knockdown of fat1 in zebrafish causes pronephric cysts, which is partially rescued by RAC1/CDC42 activators, confirming a role of the two small GTPases in the pathogenesis. These findings provide new insights into the pathogenesis of SRNS and tubulopathy, linking FAT1 and RAC1/CDC42 to podocyte and tubular cell function.

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 score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.021
GPT teacher head0.319
Teacher spread0.299 · 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

Citations132
Published2016
Admission routes1
Has abstractyes

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Same venueNature CommunicationsSame topicRenal Diseases and GlomerulopathiesFrench-language works237,207