Protein tyrosine phosphatase delta is a STAT3-phosphatase and suppressor of metabolic liver disease
Bibliographic record
Abstract
Objective Impaired hepatic expression of protein tyrosine phosphatase delta ( PTPRD ) is associated with increased STAT3 transcriptional activity and reduced survival from hepatocellular carcinoma in patients with chronic hepatitis C virus infection. However, the PTPRD -expressing hepatic cell types, signalling pathways responsive to PTPRD and their role in non-viral liver disease are largely unknown. Methods We studied PTPRD expression in single-cell and bulk liver transcriptomic data from mice and humans, and established a Ptprd -deficient mouse model for metabolic dysfunction-associated steatohepatitis (MASH). Identified pathways were validated by perturbation studies in human hepatocytes and PTPRD substrates by pull-down assays. The clinical relevance was further explored in a cohort with metabolic disease by ranking patients according to PTPRD expression and analysing its association with metabolic disease markers. Results The analysis of individuals ranked according to PTPRD expression and Ptprd -deficient mice, showed that PTPRD levels were associated with hepatic glucose/lipid signalling and peroxisome function. Hepatic PTPRD expression is impaired in aetiologies of chronic liver diseases that are associated with metabolic disease. We further validated PTPRD as a STAT3 phosphatase in the liver, acting as a regulator of peroxisomal fatty acid metabolism. During MASH, low PTPRD led to increased liver steatosis in Ptprd +/− mice and a pronounced unfolded protein response, which impacts insulin signalling. Accordingly, silencing of PTPRD blunted insulin-induced AKT phosphorylation. Patients with obesity and low hepatic PTPRD expression exhibit increased levels of metabolic risk factors. Conclusion Our data revealed an important regulatory role of the hepatic PTPRD-STAT3 axis in maintaining glucose/lipid homeostasis, which is recapitulated in clinical manifestations of metabolic liver disease.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".