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Record W2736944068 · doi:10.14740/jocmr3103w

The Apelin Receptor APJ in Hematopoietic Stem Cells/Progenitor Cells in the Early Stage of Non-Alcoholic Steatohepatitis

2017· article· en· W2736944068 on OpenAlexvenueno aff
Wataru Ando, Hiroaki Yokomori, Katsuya Otori, Masaya Oda

Bibliographic record

VenueJournal of Clinical Medicine Research · 2017
Typearticle
Languageen
FieldMedicine
TopicApelin-related biomedical research
Canadian institutionsnot available
FundersKitasato University
KeywordsMedicineSteatohepatitisPathologyProgenitor cellFibrosisImmunohistochemistryStem cellCell biologyFatty liverBiologyDisease

Abstract

fetched live from OpenAlex

BACKGROUND: Non-alcoholic steatohepatitis (NASH) is characterized by hepatic steatosis and inflammation with or without fibrosis. The apelin receptor (APJ) is related to angiotensin-like-receptor 1 (AGTRL1). The present study aimed to evaluate APJ as an indicator of the pathophysiology of early-stage NASH. METHODS: APJ expression was evaluated in six tissue samples with histologically proven early-stage NASH using immunohistochemistry (IHC) and immunoelectron microscopy (IEM). RESULTS: On IHC, in control liver tissue, APJ was mainly localized in the aortic artery, although APJ was detected only slightly in the sinusoids. In early NASH liver tissue, on IEM, APJ was observed mainly at the sites of sinusoidal lining cells around the central vein and periportal regions, and at arterial capillaries in the portal tract. With regard to endothelial cells (ECs), one sample showed a hematopoietic stem cell (HSC)/progenitor cell (HPC) partially wrapped with an EC. CONCLUSION: HSCs/HPCs expressing APJ may contribute to the angiogenesis of liver tissue in early-stage NASH.

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)0.059
metaresearch head score (Gemma)0.018
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.326
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0590.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0000.004
Scholarly communication0.0000.000
Open science0.0030.000
Research integrity0.0010.007
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 head0.209
GPT teacher head0.526
Teacher spread0.317 · 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; both teacher heads agree on what is shown here.

Study designObservational
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

Citations10
Published2017
Admission routes1
Has abstractyes

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