Pathogenic variants in Mycobacterium tuberculosis susceptibility genes: a cross-continental bioinformatics analysis


Irham L. M., Adikusuma W., Amukti D. P., Khairi S., Philothra P. T., Santri I. N., ...Daha Fazla

Health Sciences Investigations Journal, cilt.8, sa.2, ss.1476-1489, 2026 (Scopus) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 8 Sayı: 2
  • Basım Tarihi: 2026
  • Doi Numarası: 10.46829/hsijournal.2026.4.8.2.1476-1489
  • Dergi Adı: Health Sciences Investigations Journal
  • Derginin Tarandığı İndeksler: Scopus
  • Sayfa Sayıları: ss.1476-1489
  • Anahtar Kelimeler: Bioinformatics, drug repurposing, genomic variants, susceptibility genes, therapeutic targets, tuberculosis
  • Ankara Üniversitesi Adresli: Evet

Özet

Background: This study investigated genetic factors influencing susceptibility to Mycobacterium tuberculosis (M. tuberculosis) infection across diverse populations to inform precision TB interventions. Objective: This study investigated genetic factors influencing susceptibility to M. tuberculosis infection across diverse populations to inform precision TB interventions. Methods: A retrospective review of LAF records, training logs, publications, and collaborations (2000–2025) was conducted. Data were summarised using descriptive statistics, with research models and training outputs organised thematically. Results: The LAF produced over 20,000 Specific Pathogen Free (SPF) rodents, supporting >75 ethically approved projects in communicable and non-communicable disease research. It trained >170 researchers in animal science and contributed to >500 peer-reviewed publications. Key disease models developed included Buruli ulcer, malaria, diabetes, epilepsy, benign prostate hyperplasia (BPH), and wound healing. The facility’s output is regionally significant, with 60% of supported projects involving international collaborations. Continuous upgrades have enhanced biosafety and welfare standards, as well as ISO/IEC 17025:2017-aligned operations. Conclusion: These variants highlight population-specific genetic risks for TB and potential for personalised prevention strategies. Further research into host-pathogen interactions is needed to optimise TB control.