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Record W4318299655

Neuronal Precursor Cell Expressed Developmentally Down Regulated 4 (NEDD4) Gene Polymorphism Contributes to Keloid Development in Egyptian Population

2020· article· en· W4318299655 on OpenAlexaboutno aff
Farag AGA, Khaled HN, Hammam MA, Elshaib ME, Tayel NR, Hommos SEI, El Gayed EMA

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicConnexins and lens biology
Canadian institutionsnot available
Fundersnot available
KeywordsNEDD4KeloidGeneBiologyGeneticsPolymorphism (computer science)CellPopulationMedicinePathologyUbiquitinGenotypeUbiquitin ligase
DOInot available

Abstract

fetched live from OpenAlex

Azza GA Farag,1 Hesham N Khaled,1 Mostafa A Hammam,1 Mustafa Elsayed Elshaib,2 Nermin Reda Tayel,3 Sahar Elsoudy Ibrahim Hommos,4 Eman Masoud Abd El Gayed5 1Dermatology, Andrology and STDs Department, Faculty of Medicine, Menoufia University, Shibin El Kom, Egypt; 2Faculty of Medicine, Menoufia University, Shibin El Kom, Egypt; 3Department of Molecular Diagnostics and Therapeutics, Genetic Engineering Biotechnology Research Institute, Sadat City, Egypt; 4Dermatology Department, Elsherouk General Hospital, Cairo, Egypt; 5Medical Biochemistry and Molecular Biology Department, Faculty of Medicine, Menoufia University, Shibin El Kom, EgyptCorrespondence: Azza GA FaragDermatology, Andrology and STDs, Faculty of Medicine, Menoufia University, Shibin El Kom 32511, EgyptTel +20 109 778 7204Fax +20 2482 226 454Email azzagaber92@yahoo.comBackground: Keloids represent chronic fibroproliferative skin disorders in which there is deposition of extracellular components, especially type 1 collagen, fibronectin and elastin, in excessive amounts. NEDD4 is associated with fibrosis found in abnormal wound healing through increased fibroblast proliferation and regulation of type 1 collagen expression. The exact etiology of keloid formation is undefined, but the role of genetic factors was demonstrated.Objective: To investigate the polymorphism of the NEDD4 gene rs8032158 in a sample of Egyptian patients who have keloids.Methods: The current case–control study was conducted in 160 unrelated subjects; 100 keloid patients and 60 ages and sex coincided with apparently healthy controls. All subjects underwent a complete history, and weight and length were measured to calculate body mass index (BMI). The Vancouver Scar Scale (VSS) was used to assess keloid severity. An analysis of the polymorphism of the NEDD4 gene rs8032158 T/C was performed using taqman allelic discrimination (real-time PCR).Results: The rs8032158 CC genotype was observed significantly in keloid patients and increased the risk of keloid development by approximately 2 times (p = 0.003, OR = 1.80). The C allele significantly increased the risk of keloid development by approximately 2 times (P = 0.002, OR = 2.08). The carriers of the CC genotype were significantly associated with severe keloid form and with the highest VSS values.Conclusion: The polymorphism of the NEDD4 gene rs8032158 could participate in the formation of keloids in the Egyptian population. The NEDD4 rs8032158 CC genotype may have a role in keloid severity.Keywords: NEDD4, keloid, gene polymorphism

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.099
GPT teacher head0.435
Teacher spread0.335 · 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 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

Citations1
Published2020
Admission routes1
Has abstractyes

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