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Record W2045128053 · doi:10.1038/sj.jcbfm.9591524.0498

Stabilization of hypoxia-inducible factor 1α in neural stem cells with prolyl hydroxylase inhibition induces delayed tolerance against focal cerebral ischemia

2005· article· en· W2045128053 on OpenAlexaff
Kon Chu, Soon‐Tae Lee, Keun‐Hwa Jung, Seung Up Kim, Manho Kim, Jae‐Kyu Roh

Bibliographic record

VenueJournal of Cerebral Blood Flow & Metabolism · 2005
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer, Hypoxia, and Metabolism
Canadian institutionsUniversity of British Columbia Hospital
Fundersnot available
KeywordsIschemiaNeural stem cellTransplantationHypoxia (environmental)MedicineErythropoietinPharmacologyStem cellCell biologyBiologyChemistryInternal medicine

Abstract

fetched live from OpenAlex

Cytoprotective strategies using pharmacological agents have yielded limited success in the prevention of cerebral ischemic injury. Tolerance to cerebral ischemia can be induced experimentally by a number of physical or pharmacologic strategies. Recent data indicate that Hypoxia-inducible factor 1 (HIF-1) plays major roles in the prevention of myocardial and cerebral ischemia. Inhibitors of HIF-1 prolyl hydroxylases (e.g. Deferroxamine, DFX) stabilize the transcriptional activator HIF-1 and activate target genes involved in compensation for ischemia, such as erythropoietin and VEGF. In this study, we are to investigate whether HIF-1a may be stabilized in human neural stem cells (NSCs) by inhibition of prolyl hydroxylase, and stabilization of HIF-1 in NSCs may induce prolonged ischemic tolerance. DFX (0.4 mM) was added to the cultures of human NSCs (F3), and mRNA or protein levels of HIF-1 were analyzed. In DFX-treated NSCs, protein level of HIF-1 was increased about 100 folds time-dependently, up to 24 hours (0–72 hrs), while mRNA expression was unchanged. Unlike the DFX-treated NSCs, no changes in protein expression were observed in the hypoxia (1% O2)-treated NSCs. Subsequent transcriptional activation (VEGF, Glut-1, CXCR4) of HIF-1a was also observed. To test an ability to induce ischemic tolerance in vivo, DFX-treated NSCs (100,000 cells) and naive NSCs (100,000 cells) were transplanted in the left striatum of adult rats (n=12 respectively). 7 days following the transplantation, 90 minutes-focal cerebral ischemia with reperfusion (MCAO) was performed and rats were sacrificed at 24 hours. Infarct volumes were reduced in both NSCs groups, compared with MCAO-only with PBS injection group (Corrected lesion volume%: DFX-treated NSCs group: 8–12%; naive NSCs group: 18–23%; MCAO-only group: 38–45%; p<0.01) by examining TTC staining, and NeuN- or Map-2ab immunohistochemistry. Striatal infarcts were further reduced in DFX-treated NSCs group. Histologic examination showed less TUNEL-positive cells and less GFAP-positive astrogliosis were found in both NSCs groups, and further decrease in DFX-treated NSCs group (p<0.001). These findings provide evidence that HIF-1 stabilization in human NSCs can be achieved effectively by inhibition of prolyl hydroxylase, and HIF-1-stabilized NSCs may induce delayed ischemic tolerance.

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 score0.001
Threshold uncertainty score0.002

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)0.0010.000

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 head0.009
GPT teacher head0.218
Teacher spread0.209 · 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".

Quick stats

Citations0
Published2005
Admission routes1
Has abstractyes

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