MétaCan
Menu
Back to cohort
Record W4400104945 · doi:10.1515/mr-2023-0048

Complement factor H in molecular regulation of angiogenesis

2024· review· en· W4400104945 on OpenAlexaff
Li Jiang, Kaili Wang, М. Н. Стародубцева, Э. А. Надыров, Carolyn Kapron, Josephine Hoh, Ju Liu

Bibliographic record

VenueMedical Review · 2024
Typereview
Languageen
FieldImmunology and Microbiology
TopicComplement system in diseases
Canadian institutionsTrent University
FundersShandong First Medical UniversityNational Natural Science Foundation of China
KeywordsComplement (music)Complement systemAngiogenesisComplement factor IChemistryComputational biologyImmunologyMedicineBiologyCancer researchBiochemistryAntibodyGene

Abstract

fetched live from OpenAlex

Abstract Angiogenesis, the process of formation of new capillaries from existing blood vessels, is required for multiple physiological and pathological processes. Complement factor H (CFH) is a plasma protein that inhibits the alternative pathway of the complement system. Loss of CFH enhances the alternative pathway and increases complement activation fragments with pro-angiogenic capacity, including complement 3a, complement 5a, and membrane attack complex. CFH protein contains binding sites for C-reactive protein, malondialdehyde, and endothelial heparan sulfates. Dysfunction of CFH prevents its interaction with these molecules and initiates pro-angiogenic events. Mutations in the CFH gene have been found in patients with age-related macular degeneration characterized by choroidal neovascularization. The Cfh -deficient mice show an increase in angiogenesis, which is decreased by administration of recombinant CFH protein. In this review, we summarize the molecular mechanisms of the anti-angiogenic effects of CFH and the regulatory mechanisms of CFH expression. The therapeutic potential of recombinant CFH protein in angiogenesis-related diseases has also been discussed.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.747
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.001
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)0.0150.001

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 head0.067
GPT teacher head0.393
Teacher spread0.326 · 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 designOther design
Domainnot available
GenreReview

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

Citations12
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueMedical ReviewSame topicComplement system in diseasesFrench-language works237,207