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Record W4403830508 · doi:10.1681/asn.2024gdrj2xer

Xanthine Oxidase in Rats, Mice, and Humans with Polycystic Kidney Disease

2024· article· en· W4403830508 on OpenAlexaff
Zhibin He, Wei Wang, Daniel Atwood, Berenice Y. Gitomer, Michel Chonchol, A. Davidoff, Charles L. Edelstein

Bibliographic record

VenueJournal of the American Society of Nephrology · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMetabolism and Genetic Disorders
Canadian institutionsXerox (Canada)
Fundersnot available
KeywordsXanthine oxidasePolycystic kidney diseaseKidney diseaseMedicineEndocrinologyInternal medicineKidneyPolycystic kidneyPathologyBiologyEnzymeBiochemistry

Abstract

fetched live from OpenAlex

Background: Raising uric acid (UA) worsens PKD in rodents (Edelstein, AJP, 2024). Xanthine oxidase (XO) results in the formation of uric acid and generates reactive oxygen species like H2O2. There is increasing evidence that increased XO in addition to UA plays role in disease. Methods: To gain insight into whether increased XO is associated with cyst growth, XO activity was measured in PCK rats, Pkd1RC/RC (RC) mice and 34 patients at HALT-PKD study 24 month visit. XO in rodents (iU/ug): Fluorometric assay kit that detects H2O2. XO in humans (ng/mL): ELISA that directly measures XO. Fast progressors (N=17) defined as increase in height corrected total kidney volume (TKV) of >7%/yr. Fast and slow progressors were matched for clinical characteristics including age, gender, Pkd1 mutation. Values=means Results: Kidney XO was higher in PCK rats vs. RC mice (19 vs. 6, P<0.05). PCK rats: XO was lower in serum (119 vs 145, P<0.01), kidney (19 vs 34, P<0.05) and liver (1505 vs 2173, P<0.01) vs wildtype. Higher cyst index correlated with lower serum (R2 0.66, P=0.09) and kidney (R2=0.47, P=0.02) XO. RC mice: No correlation between cyst index and serum XO (R2=0.06, p=NS) or kidney XO (R2=0.06, NS). Oxypurinol decreased cyst growth (Edelstein et al. AJP, 2024) and decreased both serum UA and serum XO (91 vs. 171, p<0.05). Patients: Serum UA was higher with eGFR<60 vs >60 (8.5 vs. 6, P<0.05). Higher TKV correlated with lower eGFR (R2 0.24, P=0.008). Correlation between higher serum UA and higher total kidney volume (R2=0.02, P=0.003). Fast progressors had higher TKV (1523 vs 583, P=0.003), lower eGFR (65 vs 91, P=0.005) and higher serum UA (8.1 vs 5.5, P<0.01) than slow progressors. Serum XO activity was the same between eGFR>60 vs <60 (8.5 vs 6.3,NS). Correlation between higher serum XO and lower eGFR showed a trend (R2=0.08, P=0.07). No correlation between serum XO and TKV (R2=0.009, NS). XO activity was the same in fast and slow progressors (7.7 vs 9.2, P=NS). Conclusion: In summary, in rodents with PKD, there was no correlation between increased serum or kidney XO activity and cyst index. In PKD patients there was a trend towards higher serum XO and lower GFR. In conclusion, serum XO needs to be measured in a larger group of patients from the HALT-PKD study. Funding: Commercial Support - Xortx Therapeutics inc

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.005
GPT teacher head0.239
Teacher spread0.234 · 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
Published2024
Admission routes1
Has abstractyes

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