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Association of Human Leukocyte Antigens (HLA) with Keloids and Hypertrophic Scar in Thais

2024· article· en· W4392782279 on OpenAlexaboutno aff

Bibliographic record

VenueJournal of the Medical Association of Thailand · 2024
Typearticle
Languageen
FieldMedicine
TopicDermatologic Treatments and Research
Canadian institutionsnot available
Fundersnot available
KeywordsThaisHuman leukocyte antigenKeloidHypertrophic scarImmunologyMedicineAntigenPathology

Abstract

fetched live from OpenAlex

Background: Keloids and hypertrophic scars are abnormal fibro-proliferative lesions. Associations between genes, the human leukocyte antigen (HLA) system in particular, and keloids have been studied in various ethnic groups but not in Thais. Objective: To investigate the association of HLA alleles with keloids and hypertrophic scars in Thais. Materials and Methods: The present study employed a retrospective case-control design. Scar assessment was performed on 139 kidney donors who underwent nephrectomy at Ramathibodi Hospital between January 2008 and December 2015. The wound scars after nephrectomy were evaluated and graded by a plastic surgeon using the modified Vancouver Scar Scale. Kidney donors who were unable to communicate well or who had autoimmune diseases or complications from surgery were excluded from the study. The diagnosis of a keloid scar, hypertrophic scar, and flat scar was made by clinical criteria. The donors were categorized into groups with three scar types, flat as the control group, hypertrophic, and keloid. The associations between the frequencies of HLA antigen with hypertrophic scar and keloids were measured with an odds ratio using logistic regression analysis. Results: Of the 139 living kidney donors, 15 (10.8%) had keloids, 46 (33.1%) had hypertrophic scars, and 78 (56.1%) had flat scars. Sixty-one HLA-A, -B, -DRB1, and -DQB1 alleles were evaluated in the present study. Compared with controls, the allele frequency of HLA-DRB1*15 was significantly higher in the keloid group at 43.33% versus 24.36% (odds ratio 2.37, 95% confidence interval 1.06 to 5.33, p=0.036). No significant association between HLA alleles and hypertrophic scars was found. Conclusion: The present study demonstrated the positive association of HLA-DRB1*15 with keloids in Thai individuals. The HLA-DRB1*15 could be a susceptibility factor for the development of keloids. Keywords: Human leukocyte antigen; Keloids; Thais, HLA-DRB1; Positive association

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)0.002
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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
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 head0.011
GPT teacher head0.291
Teacher spread0.279 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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