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Record W4403151928 · doi:10.1210/jendso/bvae163.975

12443 Thioredoxin Interacting Protein (Txnip) Regulates Cellular Senescence And Lifespan

2024· article· en· W4403151928 on OpenAlexaff
Mohammed Abubaker, Ling Xia, I. George Fantus

Bibliographic record

VenueJournal of the Endocrine Society · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRedox biology and oxidative stress
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsTXNIPThioredoxin-Interacting ProteinSenescenceCell biologyCellular senescenceThioredoxinBiologyGeneticsGene

Abstract

fetched live from OpenAlex

Abstract Disclosure: M. Abubaker: None. L. Xia: None. I.G. Fantus: None. Thioredoxin-interacting protein (Txnip) is a ubiquitously expressed protein that belongs to the α-arrestin family. It is unique among α-arrestin proteins in its ability to bind and inhibit thioredoxin (Trx), a major endogenous antioxidant. In the context of diabetes, hyperglycemia upregulates Txnip, which in turn promotes oxidative stress and apoptosis, and has been associated with progression of diabetes and its microvascular complications. Paradoxically, TXNIP also acts as a tumor suppressor, as evidenced by the development of hepatocellular carcinoma in Txnip knockout (KO) mice. Loss of Txnip is associated with enhanced glucose uptake but a shift in cellular metabolism towards glycolysis and lactate accumulation reminiscent of the Warburg effect seen in cancer cells. In our studies of glomerular mesangial cells (MC) we observed that late-passage cells (25 passages) exhibited significantly reduced Txnip expression (p<0.05) coinciding with the development of senescence, consistent with “replicative” senescence. To explore the role of Txnip, we compared primary mouse MC obtained from wild-type (WT) and Txnip KO mice at early passages (5-7). Txnip KO MCs displayed significantly increased expression of senescence markers P53 and P16, as well as enhanced senescence-associated beta-galactosidase staining (p<0.05), confirmed in kidney cortex of KO mice. Txnip KO MCs exhibited higher activation of Akt associated with lower PTEN activity compared to WT. Activation of Akt is known to stimulate the generation of reactive oxygen species (ROS). ROS (DCF fluorescence) were significantly elevated in Txnip KO MCs (p<0.05). While mitochondrial ROS generation (mitosox) was not altered, there was an increase in the expression of NADPH oxidase 4 (NOX4). Additionally, Txnip KO MCs showed increased activation of the oncogene RAS and reduced apoptosis. Inhibition of Akt rescued the senescence phenotype in Txnip KO MCs, accompanied by reduced total ROS and NOX4 expression. Accumulation of senescent cells is a hallmark of organismal aging. Using a Y-maze apparatus, we assessed spatial memory in 21-month-old mice. KO mice exhibited compromised memory function compared to their WT counterparts. Significantly, Txnip KO mice, male and female, showed a shortened lifespan (median WT 28 m; KO 20.3 m; and Maximum WT 38 m; KO 29.5 m; Kaplan-Meier p<0.001) and increased susceptibility to tumor growth at later ages. Our findings demonstrate for the first time that loss of Txnip contributes to cellular senescence through mechanisms consistent with oncogene-induced senescence, including increased Akt and RAS activation. These findings highlight the potential importance of Txnip in age-related diseases and tumorigenesis. Considering Txnip as a potential therapeutic target in diabetes, our data emphasize caution since overexpression and under-expression of TXNIP can both have adverse health consequences. Presentation: 6/3/2024

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.006
GPT teacher head0.248
Teacher spread0.242 · 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".

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Citations0
Published2024
Admission routes1
Has abstractyes

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