Electronic Theses and Dissertations (Masters)

Permanent URI for this collectionhttps://hdl.handle.net/10539/38221

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    The stability of C-peptide and insulin in plasma and serum samples under different storage conditions
    (University of the Witwatersrand, Johannesburg, 2023-10) Nkuna, Delhia Xikombiso; Maphayi, Mpho
    Objectives: C-peptide and insulin are peptide hormones and their stability is affected by a number of pre-analytical factors. The study aimed to investigate the impact of sample type, storage temperature and time delays before centri-fugation and analysis on the stability of C-peptide and insulin. Methods: Ten healthy non-diabetic adults in fasting and non-fasting state were enrolled. 40 mL of blood was collected from each participant into SST and dipotassium EDTA tubes. Samples were centrifuged immediately or at timed intervals (8, 12, 48 and 72 h). After baseline measurements on the Roche Cobas e602 analyzer using electrochemiluminescence immunoassays, aliquots were stored at room temperature (RT), 2–8 and −20 °C for 4 h to 30 days. The percentage deviation (PD) from baseline was calculated and a change greater than desirable biological variation total error was considered clinically significant. Results: C-peptide was more stable in separated serum than plasma (PD of −5 vs. −13 %) samples stored at 2–8 °C for 7 days and was most unstable at RT when centrifugation was delayed (PD −46 % in plasma and −74 % in serum after 48 h). Insulin was more stable in plasma than in serum under the different storage conditions with a minimum PD of −1% when stored at −20 °C for 30 days. When samples were kept unspun at RT for 72 h, PD was −23 and −80 % in plasma and serum, respectively. Conclusions: C-peptide was more stable in serum provided the sample was centrifuged immediately and stored in the fridge or freezer while insulin was found to be more stable in EDTA plasma.
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    The usefulness of monocyte fluorescence as a biomarker of Tuberculosis infection at Chris Hani Baragwanath Academic Hospital
    (University of the Witwatersrand, Johannesburg, 2023-11) Moosa, Aamina Yunus; Vaughan, Jenifer; Hodkinson, Katherine
    Introduction: South Africa has the 5th highest burden of Tuberculosis (TB) as well as coinfection with Human immunodeficiency virus (HIV) worldwide. Routine laboratory methods have varying sensitivity and specificity. The Xpert MTB/RIF (GXPU) (Cepheid, Sunnyvale, CA), has lower sensitivity in sputum smear negative cases and poor quality sputum samples. A robust, non-sputum based, inexpensive biomarker of TB would be of value in such cases. Monocytes are the major leucocyte involved in the immune response to TB. The Sysmex haematology analysers (Sysmex, Kobe, Japan) measure monocyte activation via monocyte fluorescence (MO-Y). This study aimed to evaluate the MO-Y and other Sysmex extended differential parameters (EDPs) as biomarkers of TB infection in the local setting. Methods: The MO-Y and EDPs were retrieved from the analyser for 121 adult cases (56 with TB, 65 controls). Further information was obtained from the laboratory information system, including patient demographics and other laboratory results; TB culture, SARS-CoV-2 results, C-reactive protein level, HIV status, bone marrow biopsies and the cycle threshold (CT) values on positive GXPU analysis. The MO-Y, EDPs and full blood count (FBC) values were compared among patients with and without TB (HIV positive and negative). Statistical significance was assessed (P-value of <0.05). Results: The MO-Y did not show utility in identifying patients with TB. A sub-population of patients living with HIV (PLWH) with a CD4 <100 cells/ul showed significantly higher MO-Y levels, due to other opportunistic infections affecting monocytes. Neutrophil surface fluorescence (a marker of neutrophil activation), was significantly higher in PLWH and with concomitant TB infection, possibly due to immune activation, worse illness, or increased bacterial infection. Among the PLWH, those with TB had significantly lower CD4 counts, absolute lymphocyte counts and mean cell volume (MCV) values. The MCV (cut-off value 87 fL) showed the strongest diagnostic utility for discriminating PLWH with and without TB (AUC 0.79). Conclusion: The MO-Y is not a useful biomarker of TB, but is significantly elevated in PLWH with low CD4 counts. The MCV showed adequate discriminatory power for differentiating patients with and without TB, at a cut-off level of 87fL.
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    Understanding SARS-CoV-2 vaccine hesitancy among pregnant women in Soweto, South Africa: A qualitative study
    (University of the Witwatersrand, Johannesburg, 2024) Zungu, Zwile; Myburgh, Nellie
    The study focused on understanding SARS-CoV-2 vaccine hesitancy among pregnant women in Soweto, South Africa. Pregnant women are at a greater risk of experiencing COVID-19 complications during pregnancy if infected with the SARS-CoV-2 virus. Vaccination uptake remains low in the population at large. This is a qualitative exploratory study approach using key-informant interviews. A total of sixteen key informant interviews with vaccinated pregnant women, unvaccinated pregnant women, healthcare workers and alternative healers were conducted. This study took place in Soweto townships, South Africa. Thematic qualitative analysis was used to construct themes in NVivo, where the gathered data was reviewed and analysed. The study found that pregnant women experience barriers and motivations that determine their decision to get vaccinated against COVID-19. Motivators to vaccinate health concerns, monetary benefit and structural motivators such as employment, travelling and education. Barriers included vaccine related fears were the main reason for poor vaccine uptake. The lack of knowledge, healthcare system barriers, misinformation, and lack of trust in the government were some reasons for vaccine hesitancy. The study's findings show that pregnant women's decisions to get vaccinated are significantly influenced by several barriers, perceptions and the motivators they have
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    Characterisation of the genetic variation in pharmacogenes involved in anti-tuberculosis drug metabolism across African populations
    (University of the Witwatersrand, Johannesburg, 2024) Malinga, Thandeka Vuyiswa Bongiwe; Twesigomwe, David; Othman, Houcemeddine
    Tuberculosis (TB) is a major health burden in Africa. Although TB is treatable, anti-TB drugs are associated with adverse drug reactions (ADRs) which are partly attributed to pharmacogenetic variation. The distribution of star alleles (haplotypes) influencing anti-TB drug metabolism, is unknown in many African populations. This presents challenges in implementing genotype-guided therapy in Africa to decrease the occurrence of ADRs and enhance the efficacy of anti-TB drugs. Therefore, this study aimed to characterise the distribution of star alleles in genes that are involved in anti-TB drug metabolism (mainly isoniazid), namely CYP2E1, NAT1, NAT2, GSTM1 and GSTT1, across diverse African populations. We used 794 high-depth whole genome sequence datasets representative of eight Sub-Saharan African (SSA) population groups. Data sources included the 1000 Genomes Project and H3Africa AWi-Gen. CYP2E1, NAT1, NAT2, GSTM1 and GSTT1 star alleles were called from the WGS data using StellarPGx. Subsequently, novel star alleles were analysed, and their allele defining variants were annotated using the Ensembl Variant Effect Predictor. We present the distribution of both common and rare star alleles influencing anti-TB drug metabolism across various SSA populations, in comparison to other global populations. Various key star alleles were identified in the SSA study populations at relatively high frequencies including NAT1*10, GSTT1*0 (>50%), GSTM1*0 (49%), and NAT2*5B (21%). Additionally, we predicted varying phenotypic proportions for NAT1 and NAT2 (acetylation) and the GST enzymes (detoxification activity) between SSA and other global populations. Fifty potentially novel haplotypes were identified computationally across the five genes. This study provides insight into the distribution of star alleles in genes relevant to isoniazid metabolism across various African populations. The high number of potentially novel star alleles exemplifies the need for pharmacogenomics studies in the African context. Overall, our analysis provides a foundation for implementing pharmacogenetic testing in Africa to reduce the risk of ADRs related to TB treatment.
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    Evaluation of novel assay formats for indoleamine 2, 3 dioxygenase as a tb biomarker
    (University of the Witwatersrand, Johannesburg, 2023) Tsolo, Semakaleng Theresia; Ranchod, Heena
    The World Health Organization has prioritized the development of non-sputum-based assays that are capable of detecting active Tuberculosis (TB). Tryptophan (tryp) is converted to kynurenine (kyn) by the rate-limiting enzyme indoleamine 2, 3- dioxygenase (IDO). IDO activity may serve as a biomarker for active TB. Dried blood spots (DBS) can be collected outside of medical institutions and are simple to transport. We wanted to explore the use of DBS as an alternative sample type to measure the kyn/tryp ratio and IDO mRNA gene expression in healthy people. METHODS We optimised methods for elution of dried blood spots, exploring various elution buffers. Following method optimisation, we enrolled 40 healthy participants, and collected whole blood and DBS samples. Kyn and tryp concentrations were measured using ELISA (ImmuSmol, France). IDO mRNA gene expression was determined by real-time PCR using two housekeeping genes GAPDH and BACT. Statistical analysis was performed to determine the correlation and agreement between peripheral blood samples and DBS. RESULTS For IDO activity, tryp showed good agreement between plasma and DBS with a median percentage similarity of 91.1%. In contrast, no agreement was observed for kyn with a median percentage similarity of 56.6%. The kyn/tryp ratio performed poorly due to poor detection of kyn in DBS. Percentage similarity between whole blood and DBS IDO mRNA expression using GAPDH 87.1%, while using BACT was 84.6%. Using either traditional sample types or DBS, there was no correlation between IDO gene expression and kyn/tryp ratio. CONCLUSION We showed that tryp was measurable in DBS. Tryp in DBS was 91.1% similar to values in plasma. Despite method optimization, there was poor agreement between DBS and plasma for kyn. Although IDO mRNA gene expression was detectable in DBS, method agreement with whole blood was unsatisfactory. Alternative methods for the stabilization of kyn in DBS should be explored in future studies. IDO mRNA expression should be measured from whole blood in future studies
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    A review of genetic testing for females referred to genetic counselling for a personal or family history of gynaecological cancer
    (University of the Witwatersrand, Johannesburg, 2023) Barnard, Sebastian
    Hereditary cancer syndromes, caused by pathogenic variants in specific genes, substantially increase an individual’s risk for cancer and are estimated to cause 10% of all uterine cancers and 20% of all ovarian cancers. However, these data are primarily based on high-income countries and to date there is no published data on the known variants and testing of cancer predisposition genes associated with gynaecological cancers in South Africa. In this study, patient records for those with either a confirmed diagnosis or family history of gynaecological cancer that were seen by the Division of Human Genetics (NHLS/Wits) were retrospectively analysed (n = 104). Associations between patient characteristics, genetic testing availability and the detection of pathogenic variants as well as the utility of risk assessment tools were investigated using statistical analysis. The majority of patients underwent diagnostic genetic testing (78/104, 75.0%), 25 (32.1%) were positive, 41 (52.6%) were negative, and 12 (15.4%) returned a variant of unknown significance. Test results were significantly different between European and non-European patients (p << 0.05) with non-European patients being 30% less likely to have a pathogenic variant detected (OR 0.7, 95% CI 0 0.22, 2.21). Patients who met genetic testing criteria according to online risk assessments were more likely to have a positive genetic test result than those who did not (p < 0.05). A disparity exists not only in genetic testing availability but also clinic attendance between public and private healthcare which is likely limiting the ability to diagnose hereditary cancer syndromes associated with gynaecological cancers in public healthcare hospitals
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    Analysis of Whole Exome Sequence Data from African Patients with HD-Like Features and No Known HDPhenocopy Syndrome
    (University of the Witwatersrand, Johannesburg, 2023) Naicker, Racilya; Krause, Amanda; Baine-Savanhu, Fiona
    Huntington disease (HD) is a rare progressive neurodegenerative disorder that results from a CAG repeat expansion within the huntingtin gene (HTT). Several syndromes present with HD- like features in the absence of the HTT expansion and are termed HD phenocopies. Huntington disease-like 2 (HDL2), a known phenocopy, is most commonly observed in individuals with African, or probable African, ancestry. Therefore, previous diagnostic testing in the Division of Human Genetics, National Health Laboratory Service (Johannesburg, South Africa) screened for both HD and HDL2 in patients with HD-like phenotypes and an indication of African ancestry. Patients who tested negative for both syndromes remain undiagnosed, highlighting the need for further testing strategies. This study aimed to identify variants implicated in the HD-like phenotype of these patients. In a group of nine undiagnosed patients with Black African ancestry, a virtual gene panel was analysed through a whole exome sequencing (WES) approach. The data was filtered, and candidate variants were prioritised according to the frequency, type, and location of the variants as well as in-silico pathogenicity prediction scores. A total of 20 candidate variants in 15 genes were shortlisted and classified according to ACMG/AMP guidelines. Notably, variants in the mitochondrial DNA polymerase subunit gamma (POLG; c.2246T>C; p.Phe749Ser) and the glutaryl-CoA dehydrogenase (GCDH; c.877G>A; p.Ala293Thr) genes were classified as likely pathogenic and pathogenic, respectively. Genotype-phenotype correlation indicated a potential diagnosis of autosomal dominant progressive external ophthalmoplegia in the patient carrying the POLG variant, whereas the GCDH variant was considered an incidental finding due to a lack of correlation with the characteristics of glutaric aciduria type 1. These findings highlight the diagnostic challenges faced in the African context for patients with HD-like clinical features and call for further validation studies and re-analysis of the WES data using alternative gene panels for the patients for whom no putative pathogenic variants were identified
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    Investigating the genetic cause of oculocutaneous albinism type 2 in individuals of African descent through exome sequencing
    (University of the Witwatersrand, Johannesburg, 2024) Mmbi, Phophi Mmapole; Ngcungcu, Thandiswa G.
    Oculocutaneous Albinism type 2 (OCA2) is a hypopigmentation disorder caused by variants in the OCA2 gene. A 2.7kb intragenic deletion is known to be the common variant that causes OCA2 in individuals of African descent. This variant accounts for 78% of OCA2-causing variant in the Southern African population. The diagnostic utility for individuals who tested either negative or heterozygous for the common 2.7kb deletion remained unsolved. This study reports on the identification of the NM 000275.3:c.1503+5G>A variant found in 3/8 (37.5%) non-2.7kb deletion OCA2 chromosomes within a small sample of OCA2 patients from the Southern African population, strongly suggesting the possibility of a second common variant, pending a larger screening study. This variant has been previously described in this population, but new variant interpretation tools have now permitted its reclassification. Furthermore, limitations encountered during the interpretation of data step in this study highlight the importance of informative clinical and phenotypic data for improved and sensible interpretation of genetic results.
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    Sequencing for high-risk type 1 diabetes genotypes in the South African black population using AmpliSeq Nanopore next generation sequencing
    (University of the Witwatersrand, Johannesburg, 2023) Mathabela, Nomfundo Mathabela; Ali, Stuart
    Introduction: Type 1 diabetes (T1D) is a chronic autoimmune disorder characterized by the destruction of the -cells of the pancreas, resulting in the inability to produce/maintain insulin. This results in an inability to maintain the blood glucose at homeostasis. Prolonged hyperglycaemia leads to micro- and macro-vascular complications. Thus, it is vital to diagnose and treat patients in a timely manner. It is important to identify individuals at increased risk of developing T1D allowing for appropriate follow ups. Numerous mutations/variants in specific genes confer an increased risk of T1D with the HLA gene accounting for approximately 40-50 % of the risk. Therefore, it is possible that by looking at genetic variation in T1D associated genes we can develop a tool that can determine the likelihood of an individual developing T1D. Study aims and objectives: The development, implementation, and validation of a Nanopore NGS method to sequence and genotype polymorphisms associated with T1D in a cohort of black South Africans which could be used to develop a genetic risk score (GRS) for T1D in this population. In addition, we aimed to compare sequencing results to two HLA genotypes obtained using PCR-RFLP. Method: Participants with T1D (n=19) and control participants (n=5) were genotyped for 12 T1D associated polymorphisms through Ampliseq Nanopore sequencing. In addition, Ion Torrent was used to confirm the Ampliseq Nanopore results. A bioinformatics pipeline that involves reference sequence generation using an in-house script, alignment of sequencing data with the reference sequence, filtering and variant calling was developed. A genetic risk score (GRS) was calculated for the participants. Participants (n=73) were genotyped by PCR-RFLP for the HLA rs2040410 and rs7454108 polymorphisms. Results: Sequencing samples individually was found to have a slightly higher Qscore than samples sequenced in multiplex (9.73 vs. 9.5). Samples sequenced individually had higher average reads (187.60 vs. 151.14 Mb), passed reads (41.47 vs. 25.99 Mb), and estimated bases (54.72 vs. 49.57 Mb) than those sequenced in multiplex. In addition, samples sequenced in a multiplex had higher average failed reads (475.58 Mb) in comparison to those sequenced individually (13.58 Mb). The average percentage difference in sequencing data generated using Ion Torrent compared to Nanopore was 5.67%. Variant calling produced average Phred-scale quality scores of 73.89 for standards (The Coriell Trio) and 89.77 for participants. The GRS calculator was not able to accurately predict which participants had T1D. Discussion and Conclusion: A next generation sequencing method and bioinformatics pipeline for the screening of participants for 645 T1D associated polymorphisms was investigated. The method combined two sequencing techniques i.e., Ion AmpliSeq and Nanopore sequencing to achieve this. The data can then be processed by in-house variant callers. With a larger sample group, this method will be useful for the investigation of genetic variants linked to T1D.
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    Characterising the combined eects of cytochrome P450 missense variants within the star allele nomenclature
    (University of the Witwatersrand, Johannesburg, 2024) Khoza, Nhlamulo; Othman, Houcemeddine; Hazelhurst, Scott
    Genetic variations in Cytochrome P450 (CYP) enzymes shape drug responses. However, many CYP haplotypes (star alleles) lack functional annotations, posing a barrier to under- standing drug metabolism comprehensively. To address this, our study investigates combined missense variant eects on CYP enzyme structures, analyzing 261 variants across 91 CYP haplotypes. We utilized Normal Mode Analysis (NMA; FoldX and ENCoM) to explore variant impact on protein stability. Subsequently, we conducted Molecular Dynamics (MD) simulations on key alleles, CYP2D6*2 and CYP2D6*17, to reveal star allele impact on protein dynamics. Integrating NMA and MD, we uncover the interactions that collectively shape the conformation and attributes of CYP enzymes. Notably, our investigation highlights significant deviations between wild-type and CYP2D6*17 -encoded proteins in the F/G loop region, pivotal for CYP functionality. Additionally, we compare NMA results with CYP2C9 and CYP2C19 Deep Mutational Scanning (DMS) results, identifying 65% concordance. Furthermore, our NMA predictions show 80% concordance with commonly used Variant Eect Predictor tools. This alignment underscores our approach’s reliability in predicting variant eects. Our study illuminates missense variants’ nuanced impact on CYP protein structures, significant for personalized medicine and drug response prediction, as accurate drug response predictions hinge on a comprehensive understanding of CYP missense variants. Moreover, our study highlights multi-scalemodelling potential for interpreting CYP missense variants, especially in star alleles. The synergy of NMA, MD simulation, and assays like DMS is invaluable, each with distinct strengths and limitations. This research deepens our understanding of the complexity of CYP metabolism profiles, providing insights into the functional assessment of CYP star alleles and missense variants with unknown functional classifications.