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Record W7132989384

The Pathogenesis of CKD: Studies of FSTL1 and ACE2

2022· dissertation· W7132989384 on OpenAlexfundno aff
Nicholas Alexander Maksimowski

Bibliographic record

VenueTSpace · 2022
Typedissertation
Language
FieldBiochemistry, Genetics and Molecular Biology
TopicTGF-β signaling in diseases
Canadian institutionsnot available
FundersCanadian Institutes of Health ResearchChonnam National UniversityKidney Foundation of CanadaAlport Syndrome Foundation
KeywordsKidney diseaseKidneyPathogenesisGlomerulosclerosisProteinuriaFibrosisMicroarrayMicroarray analysis techniquesAngiotensin II
DOInot available

Abstract

fetched live from OpenAlex

Mechanism(s) responsible for the progression of chronic kidney disease (CKD) to end stage renal disease have not been fully elucidated. During my Ph.D. studies I completed bioinformatic, in vitro, in-silico, and in vivo studies to address this gap in current knowledge.In a first series of experiments, microarray analysis of kidneys from Col4a3-/- mice, an experimental model of CKD, revealed an early increase in follistatin-like-1 (FSTL1) expression. Little is known about FSTL1 in experimental or human CKD. FSTL1 localized to interstitial cells by RNAscope® and single cell transcriptomic data from human CKD showed that FSTL1 was confined to fibroblasts/myofibroblasts. In vitro, FSTL1 activated AP1 and NFκB, increased collagen I and interleukin-6 expression, and induced apoptosis in kidney cells. FSTL1 expression in kidneys from humans with CKD associated with age, eGFR, and proteinuria and was also related to interstitial fibrosis and tubular atrophy. Remarkably, CKD progression in participants with FSGS from the Nephrotic Syndrome Study Network (NEPTUNE) study was greater in patients with high baseline FSTL1 mRNA levels. Angiotensin-converting enzyme 2 (ACE2) catalyzes conversion of angiotensin (Ang) II to Ang-(1–7). It is decreased in kidneys from Col4a3–/– mice and recombinant ACE2 (rACE2) administration lessens kidney injury in these mice. Interestingly, ACE2 is a receptor for SARS-CoV-2 but little is known about renal ACE2 expression in human CKD. I accessed renal tubulointerstitial (TI) and glomerular microarray expression data and clinical variables from healthy living donors and patients with CKD from the European Renal cDNA Bank. ACE2 expression was greater in males than females and lower in the glomeruli. Genes involved in inflammation and fibrosis correlated inversely with ACE2 expression. I then studied ACE2 expression in participants with FSGS from NEPTUNE. ACE2 expression was related to both sex and eGFR in this cohort. ACE2 expression was inversely related to kidney interstitial fibrosis, and tubular atrophy, in males but not in females. In summary, my studies support the hypotheses that intrarenal FSTL1 and low ACE2 contribute to the progression of CKD, suggesting that they may be important targets for the development of new treatment approaches to CKD.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.022
GPT teacher head0.372
Teacher spread0.350 · 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 designBench or experimental
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
Published2022
Admission routes1
Has abstractyes

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