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Record W4403811647 · doi:10.1681/asn.2024v19e568p

Nuclear Factor Erythroid 2-Related Factor 2 (Nrf2) Activates Hedgehog Interacting Protein (Hhip)-Mediated Renal Tubular Cell Senescence in Diabetic Akita Mice

2024· article· en· W4403811647 on OpenAlexaff
Min-Chun Liao, Xin-Ping Zhao, Shuiling Zhao, Ke Su, Shiao‐Ying Chang, Yuchao Pang, Kana N. Miyata, Junzheng Peng, Julie R. Ingelfinger, John S.D. Chan, Shaoling Zhang

Bibliographic record

VenueJournal of the American Society of Nephrology · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHedgehog Signaling Pathway Studies
Canadian institutionsCentre Hospitalier de l’Université de Montréal
Fundersnot available
KeywordsSenescenceCell biologyChemistryCancer researchInternal medicineHedgehog signaling pathwayHedgehogCellStem cell factorEndocrinologyMedicineStem cellBiologySignal transductionBiochemistryProgenitor cell

Abstract

fetched live from OpenAlex

Background: We recently reported that hedgehog interacting protein (Hhip) activates sodium-glucose cotransporter 2 (Sglt2) expression and promotes tubular senescence in murine diabetic kidney disease (DKD) (Diabetologia 2023). However, the underlying mechanism(s) are poorly understood. Nuclear factor erythroid 2–related factor 2 (Nrf2) plays a key role in Sglt2 inhibition-reduced tubular cell senescence in DKD (PMID: 34318973); here, we aimed to elucidate the underlying mechanism of Hhip and Nrf2 interaction on tubular senescence in DKD in vivo and in vitro. Methods: Male Akita, Akita/Nrf2–/– and Akita/Nrf2–/– mice with renal proximal tubular cell (RPTC)-specific Nrf2 transgene (Akita/Nrf2–/–/Nrf2RPTC-Tg), and their respective control mice (non-Akita or Nrf2–/–) were studied. Primary RPTCs and human immortalized HK-2 cells were the in vitro model used. Results: Compared to respective controls at the age of 20 weeks, Akita mice displayed typical DKD characteristics (increased urinary albumin/creatinine ratio and glomerular filtration rate) and renal dysmorphology (renal hypertrophy, glomerulosclerosis and tubulopathy); those changes were attenuated in Akita/Nrf2–/– mice. As compared with Akita, Akita/Nrf2–/– mice had less renal tubular Hhip gene expression and decreased tubular senescence as assessed by β-galactosidase activity and p16-, p21-, and p53- immunostaining. However, these protective features were markedly lost in Akita/Nrf2–/–/Nrf2RPTC-Tg kidneys. In vitro, Nrf2 activators (oltipraz or CDDO-Me) significantly stimulated Hhip gene expression (promotor activity, Hhip mRNA and protein expression), while also promoted cellular senescence. Those effects were more pronounced under high glucose milieu. In contrast, HK-2 cells with Nrf2 knockout largely prevented the above phenotypes. Conclusion: Nrf2 activates Hhip gene expression in RPTCs. In diabetes, activation of both Nrf2 and Hhip works in concert to accelerate tubular senescence in DKD. Funding: Government Support – Non-U.S.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.041
Threshold uncertainty score0.820

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.010
GPT teacher head0.246
Teacher spread0.236 · 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 teacher head, 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

Explore more

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