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Bulimo, W. D.

Publications and source records attributed to Bulimo, W. D..

2 recordsLinked to original sources

Mitochondrial DNA Variation in the D-LOOP and ND Loci identified in the Kenyan Population: Potential Implications for precision Oncology

BackgroundPrecision oncology is dominated by studies focused on nuclear genomic alterations, leaving mitochondrial DNA (mtDNA) variation excluded from routine clinical genomic testing. However, mitochondria regulate oxidative phosphorylation (OXPHOS), reactive oxygen species (ROS) production, apoptosis, and metabolic reprogramming pathways that are central to chemotherapy response. Methods468 Complete mitochondrial genomes from Kenyan individuals representing diverse ethnic groups were analyzed. Seven variants associated with effect on cancer treatment were identified. These include; m.310T>C(D-loop), m.10398A>G (MT-ND3), m.13708G>A (MT-ND5), m.16189T>C, m.13928G>C, m9055G>A and m.16519T>C (D-loop). Allele frequencies and distribution were assessed. ResultsThe coding-region variants (m.10398A>G and m.13708G>A) occur in Complex I subunits and are associated with altered oxidative phosphorylation efficiency and ROS production. The control-region variants (m.16189T>C and m.16519T>C) influence mtDNA replication and copy number. These variants have been implicated in differential response to chemotherapeutic agents including platinum-based therapies and anthracyclines. m.13928G>C sits in the MT-CYB gene and could possibly affect mitochondrial respiratory function; this variant could influence how tumors respond to therapies that rely on apoptosis or ROS generation.m.9055G>A is a MT-ATP6 variant classified as benign in mitochondrial disease but may represent a marker of haplogroup background rather than a direct cancer driver. While m.310T>C itself does not encode a protein, its location in the regulatory D-loop influences mitochondrial function, which can affect how tumor cells respond to chemotherapies that rely on mitochondrial-mediated apoptosis or oxidative stress. ConclusionPharmacogenomic relevant mitochondrial variants are present in the Kenyan population. With the rise of cancer burden in Kenya there is a need carry out more studies to understand the impact of these variations on cancer treatment. This can inform the integration of mtDNA analysis into precision oncology strategies in African populations.

genomics↗

Genomic Diversity of Neisseria gonorrhoeae Isolates in Kenya Revealed by MLST, NG-MAST, and NG-STAR Typing

BackgroundSurveillance of Neisseria gonorrhoeae strains, their antimicrobial resistance (AMR) profiles, and transmission dynamics is essential in the prevention and control of gonococcal infections. In Kenya, gonococcal molecular surveillance remains limited, leaving gaps in understanding circulating sequence types (STs). This study characterized Kenyan N. gonorrhoeae isolates using multiple molecular typing schemes. MethodsIllumina MiSeq generated paired-end sequence reads prepared from 35 N. gonorrhoeae isolates recovered from males and females from four different regions in Kenya were analyzed. Assemblies were analyzed using PubMLST tools for multi-locus sequence typing (MLST) and the N. gonorrhoeae sequence typing for antimicrobial resistance (NG-STAR) scheme. Multi-antigen sequence typing (NG-MAST) was carried out using the NG-MAST database. Phylogenetic relationships were assessed using concatenated NG-STAR loci and core genome-based analyses. ResultsTwenty-two MLST STs were identified, including eight novel STs; ST-1932 was most frequent. NG-MAST revealed 29 STs, of which 26 were novel, with a newly described ST-19168 predominating in Nyanza region. NG-STAR identified 23 STs with variation across mtrR, penA, 23S rRNA, gyrA, parC, ponA, and porB. Phylogenetic analyses showed clustering of isolates into distinct groups with diverse AMR profiles. One cluster comprised isolates resistant to tetracycline and ciprofloxacin. No clear association was observed between MLST, NG-MAST, or NG-STAR types and specific AMR patterns. ConclusionKenyan N. gonorrhoeae strains are genetically diverse, with high numbers of novel NG-MAST and MLST STs. The lack of regional clustering and varied AMR profiles suggest widespread transmission of heterogeneous gonococcal populations. These findings underscore the importance of strengthened genomic surveillance to inform gonorrhea control strategies in Kenya.

genomics↗