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Abdel Hamid, M. M.

Publications and source records attributed to Abdel Hamid, M. M..

3 recordsLinked to original sources

A complex Plasmodium falciparum cryptotype circulating at low frequency across the African continent

The population structure of the malaria parasite Plasmodium falciparum can reveal underlying demographic and adaptive evolutionary processes. Here, we analyse population structure in 4,376 P. falciparum genomes from 21 countries across Africa. We identified a strongly differentiated cluster of parasites, comprising [~]1.2% of samples analysed, geographically distributed over 13 countries across the continent. Members of this cluster, named AF1, carry a genetic background consisting of a large number of highly differentiated variants, rarely observed outside this cluster, at a multitude of genomic loci distributed across most chromosomes. At these loci, the AF1 haplotypes appear to have common ancestry, irrespective of the sampling location; outside the shared loci, however, AF1 members are genetically similar to their sympatric parasites. AF1 parasites sharing up to 23 genomic co-inherited regions were found in all major regions of Africa, at locations over 7,000 km apart. We coined the term cryptotype to describe a complex common background which is geographically widespread, but concealed by genomic regions of local origin. Most AF1 differentiated variants are functionally related, comprising structural variations and single nucleotide polymorphisms in components of the MSP1 complex and several other genes involved in interactions with red blood cells, including invasion and erythrocyte antigen export. We propose that AF1 parasites have adapted to some as yet unidentified evolutionary niche, by acquiring a complex compendium of interacting variants that rarely circulate separately in Africa. As the cryptotype spread across the continent, it appears to have been maintained mostly intact in spite of recombination events, suggesting a selective advantage. It is possible that other cryptotypes circulate in Africa, and new analysis methods may be needed to identify them.

genomics↗

Genetic analysis of TP53 gene mutations in exon 4 and exon 8 among esophageal cancer patients in Sudan

BackgroundEsophageal carcinoma (EC) represents the 1st rank among all gastrointestinal cancers in Sudan. Despite little publications, there is a deep absence of literature about the molecular pathogenesis of EC considering TP53 gene from Sudanese population.\n\nAimsIn this study, we performed the expression analysis on p53 protein level by immunohistochemical staining and examined its overexpression with p53 mutations in exons 4 and 8 among esophageal cancer patients in Sudan.\n\nMaterial and MethodsFixed tissue with 10% buffered formalin was stained by Hematoxlin and Eosin (H&E), Alcian blue-Periodic Acid Schiff (PAS) and Immunohistochemistry stain. PCR-RFLP was used to study the frequencies of p53 codon 72 R/P polymorphism. Conventional PCR and sanger sequencing were applied for exon 4 and exon 8. Then detection and functional analysis of SNPs and mutations were performed using various in bioinformatics tools.\n\nResultNuclear accumulations for p53 protein was detected in all of the esophageal carcinomas examined while no accumulations were observed in normal control sections. Four patients with immune-positive for p53 showed no mutations in p53 gene (exon4 and exon8). The incidence of the homozygous mutant variant Pro/Pro was higher in esophageal cancerous patients comparing to healthy control subject 20(71. 4%) vs. 1(10%), respectively (p=0.0026). In exon 4, no mutation was detected other than NG_017013.2:g. 16397C>G. While in exon 8, g.18783-18784AG>TT, g.18803A>C, g.18860A>C, g.18845A>T and g.18863_ 18864 InsT were observed.\n\nConclusionwe found a significant association between the overexpression of TP53 protein and mutation in exon 4 and 8. A silent mutation P301P was detected in all of examined cases. Two patients who diagnosed with small cell sarcoma have shared the same mutations in exon8. Further studies with large sample size are required to demonstrate the usefulness of these mutations in the screening of EC especially SCCE.

cancer biology↗

Antimicrobial Resistance Surveillance Among Gram Negative Bacterial Isolates from Patients in Khartoum State Hospitals

BackgroundAntimicrobial resistance (AMR) among Gram-negative bacilli is a global health problem. Surveillance of AMR is required to advise on empirical antimicrobial therapy. This study aimed at evaluating the frequency and the AMR patterns of Gram-negative isolates from patients treated in eight hospitals in Khartoum State, Sudan.\n\nMethodsA cross-sectional laboratory based study was conducted over six months period at the microbiology department, Soba University Hospital, Khartoum State, Sudan. All Gram-negative isolates from blood, urine, wound, and sputum during the period of study were included.\n\nResultsA total of 734 Gram-negative bacilli were isolated. Klebsiella spp. 249 (34%) was the most frequently encountered one, followed by Pseudomonas spp. 153(21%), E.coli 123(17%), Acinetobacter spp. 75 (10%), Burkholderia cepacia 42(6%), Proteus spp. 28(4%) Enterobacter spp. 28(4%), Stenotrophomonas maltophilia 21(2.8%), and others gram-negative bacilli 15(2.2%) The analysis of the antimicrobial susceptibility patterns showed that 134 (22.3%) isolates were multidrug resistant to three or more classes of antibiotics including cephalosporins, {beta}-lactam-{beta}-lactamase inhibitor group, quinolones, aminoglycosides and carbapenems.\n\nConclusionThis high level of resistance among Gram-negative bacilli in Khartoum state hospitals is alarming. The local health authorities are prompted to step up infection control program and introduce the concept of antimicrobial stewardship in Khartoum State hospitals.

microbiology↗