Trends in diabetes research outputs in South Africa over 30 years from 2010 to 2019: A bibliometric analysis

Diabetes mellitus (DM) is one of the leading causes of mortality in South Africa, which is impelled by people’s consumption of unhealthy diets and lifestyles, negligence about an individual’s health status, and increased urbanization. DM can be linked to several human diseases and thus, making it an important public health issue in the South African health sector. Therefore, it is necessary to assess the level of research that has been conducted in the country on diabetes, in a quest for solutions against the deadly disease. Hence, the present study aimed to map diabetes-related research in South Africa from 2010 to 2019. Data on the subject was retrieved from the Web of Science Core Collection (WoSCC) and bibliometrix package in Rstudio statistical software was used to analyze the data while VOSviewer was explored for data visualization networks. Our analysis revealed that the annual growth rate of publication trends was 23.2%. The authors per document were 23.3 with a collaboration index of 23.4. From the 416 articles analyzed, Islam MS (n = 34) was the most prolific author and the top active institution was University of KwaZulu-Natal (n = 165) and the top journal was Diabetes Research and Clinical Practice (n = 20). Findings from this study reveal that the quantity of research on diabetes has significantly increased over the decade, and the outcomes of this scientific progress can guide future research and substantially provide the basic needs for improving management procedures for diabetes in the country.     

Immunoinformatics Design of Multiepitope Vaccine Against Enterococcus faecium Infection

International Journal of Peptide Research and Therapeutics - Enterococcus faecium has emerged as the fourth most commonly isolated nosocomial pathogen due to its resistance to commonly used...     

The impact of blood and seminal plasma zinc and copper concentrations on spermogram and hormonal changes in infertile Nigerian men

Zinc (Zn) and copper (Cu) concentrations in sera and seminal plasma of 60 infertile males (40 oligozoospermic and 20 azoospermic) and 40 males with evidence of fertility (normozoospermic; controls) were estimated using atomic absorption spectrophotometry. The results were correlated with the subject's spermogram and hormonal levels in order to determine their relationship and significance in male infertility. The mean serum concentration of zinc was significantly (p<0.01) higher in oligozoospermic males when compared to azoospermic subjects and controls. The ratios of serum Zn to seminal plasma Zn were 1:1, 1:3 or 1:4 in oligozoospermic, normozoospermic or azoospermic subjects, respectively. While the mean Cu concentration was significantly higher in serum than seminal plasma in all groups, the Zn concentration was significantly (p<0.05) higher in seminal plasma than serum. The Cu/Zn ratio in seminal plasma was significantly (p<0.01) higher in controls compared with other groups. A significant (p<0.01) inverse correlation was observed between serum Zn and sperm counts. Similarly, seminal plasma Zn negatively correlated with spermatozoa viability. In conclusion, the measurement of serum Zn level, apart from being a good index of the assessment of prostatic secretion and function, may be considered a useful tool in addition to other parameters in assessing male infertility. Also, a lower Cu/Zn ratio in seminal plasma may serve as a supportive tools in assessing male infertility.     

Three-dimensional Nuclear Telomere Organization in Multiple Myeloma

Multiple myeloma (MM) is preceded by monoclonal gammopathy of undetermined significance (MGUS). Up to date, it is difficult to predict an individual's time to disease progression and the treatment response. To examine whether the nuclear telomeric architecture will unravel some of these questions, we carried out. Three-dimensional (3D) telomere analysis on samples from patients diagnosed with MGUS and MM, as well as from patients who went into relapse. Telomere signal intensity, number of telomere aggregates, nuclear volume, and the overall nuclear telomere distribution (a/c ratio) were analyzed. The telomeric profiles allowed for the differentiation of the disease stages. The telomeric profiles of myeloma cells obtained from blood and bone marrow aspirates were identical. Based on this study, we discuss the use of 3D telomere profiling as a potential future tool for risk stratification and personalized treatment decisions.     

Influence of Substrate Color on Oviposition Behavior,Egg Hatchability,and Substance of Egg Origin in the Mosquito Anopheles sinensis (Wiedemann) (Diptera: Culicidae)

Understanding the factors that influence the choice of substrate for oviposition by the malaria mosquito is critical to efforts directed to the management of the disease and vector control measures aimed at modifications of larval habitat. The influence of black and white substrates on Anopheles sinensis (Wiedemann) (Culicidae: Anophelinae) female oviposition behavior and egg-hatching rate and the presence of substances associated with egg laying were studied. Results from the no-choice tests showed that the number of eggs laid on black substrate was significantly greater than that laid on white substrate. Results from the dual-choice tests revealed that gravid females showed stronger preference for the black substrate than that for the white substrate. Furthermore, the egg-hatching rate on white substrate was significantly lower than that observed on black substrate. Results from the three-choice tests showed that substance of egg origin was associated with the black substrates (UBS) that were attractive for and stimulated oviposition. The results of this study suggest that there might be some compounds in the black substrates which play a positive role in the oviposition behavior of female mosquitoes and in the development of eggs and that eggs might produce and release active substances that attract females and stimulate oviposition. These results could be important as regards to the optimization of mosquitoes raised for experimental purposes and the control of malaria mosquitoes by altering the oviposition behavior of gravid females.     

Characterisation of multiple substrate-specific (d)ITP/(d)XTPase and modelling of deaminated purine nucleotide metabolism

Accumulation of modified nucleotides is defective to various cellular processes, especially those involving DNA and RNA. To be viable, organisms possess a number of (deoxy)nucleotide phosphohydrolases, which hydrolyze these nucleotides removing them from the active NTP and dNTP pools. Deamination of purine bases can result in accumulation of such nucleotides as ITP, dITP, XTP and dXTP. E. coli RdgB has been characterised as a deoxyribonucleoside triphosphate pyrophosphohydrolase that can act on these nucleotides. S. cerevisiae homologue encoded by YJR069C was purified and its (d)NTPase activity was assayed using fifteen nucleotide substrates. ITP, dITP, and XTP were identified as major substrates and kinetic parameters measured. Inhibition by ATP, dATP and GTP were established. On the basis of experimental and published data, modelling and simulation of ITP, dITP, XTP and dXTP metabolism was performed. (d)ITP/(d)XTPase is a new example of enzyme with multiple substrate-specificity demonstrating that multispecificity is not a rare phenomenon.     

Analyzing infant mortality with geoadditive categorical regression models: a case study for Nigeria

In this paper, we analyze infant mortality in Nigeria based on the data set from the 1999 Nigeria Demographic and Health Survey (NDHS). We investigate spatial patterns at a highly disaggregated level of Nigerian states and consider non-linear effects of mother's age at birth. Time to the occurrence of a child's death can intuitively be considered to be categorical in nature and the determinants of a child's death may differ in different age groups. Thus, it may be desirable to investigate separately the death of a child in the first month and in the remaining 11 months of the first year of life. To avoid selection bias, the data set used for this case study is based on information on children who were born 12 months preceding the survey. Inference is Bayesian and is based on Markov chain Monte Carlo (MCMC) techniques. We find that spatial variation and the determinants of death indeed differ considerably for the two age groups considered.