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Record W4394184196 · doi:10.6084/m9.figshare.19867691

Knocking down ETS Proto-oncogene 1 (ETS1) alleviates the pyroptosis of renal tubular epithelial cells in patients with acute kidney injury by regulating the NLR family pyrin domain containing 3 (NLRP3) transcription

2022· dataset· en· W4394184196 on OpenAlexaff
Chenxia Juan, Zhu Ye, Yan Chen, Yan Mao, Yan Zhou, Weiwei Zhu, Xufang Wang, Qian Wang

Bibliographic record

VenueFigshare · 2022
Typedataset
Languageen
FieldMedicine
TopicRestraint-Related Deaths
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPyrin domainPyroptosisInflammasomeMedicineOncogeneCancer researchPathologyInternal medicineReceptor

Abstract

fetched live from OpenAlex

Acute kidney injury (AKI) has a high mortality rate, but its pathogenesis remains unclear Lipopolysaccharide (LPS)-mediated renal tubular epithelial pyroptosis is involved in the pathogenesis of AKI. NLR family of pyrin domains containing 3 (NLRP3) plays an important role in pyroptosis. To further understand the transcriptional regulation mechanism of NLRP3, the peripheral blood of patients with AKI was analyzed in this study, showing that the levels of NLRP3 and cell pyroptosis in patients with AKI were significantly higher than those in normal controls. Furthermore, elevated levels of NLRP3 and cell pyroptosis were found in renal tubular epithelial cells after LPS treatment. Transcription factor ETS Proto-Oncogene 1 (ETS1) could bind to the upstream promoter transcription site of NLRP3 to transactivate NLRP3 in renal tubular epithelial cells. The cell pyroptosis level also decreased by knocking down ETS1. It is concluded that knocking down of ETS1 may reduce the renal tubular epithelial pyroptosis by regulating the transcription of NLRP3, thus relieving AKI. ETS1 is expected to be a molecular target for the treatment of AKI.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.045
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0450.000

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 head0.012
GPT teacher head0.241
Teacher spread0.229 · 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.

Study designNot applicable
Domainnot available
GenreDataset

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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