Studies have shown that ABO blood groups and demographic traits influence susceptibility to type 1 diabetes mellitus (T1DM) and can be used in combination with insulin therapy to reduce the disease’s burden. However, geographical variations exist in the influence of demographic traits and ABO blood groups on susceptibility to diseases and thus require establishing it in every locality. This study determined the influence of demographic traits and ABO blood groups on the prevalence of T1DM in Lagos, Nigeria. A structured checklist was used to collect data from the health records of non-obese 150 type 1 diabetic patients at Ayobo Primary Health Center, Lagos. The results revealed that males, with 88 participants (52.7%), constituted the majority, while females had 62 (41.3%). The age group 40 years and older had the highest proportion of participants with 37 (24.7%), followed by 31-40 years with 32 (21.30%), 21-30 years with 30 (20%), 11-20 years with 27 (18%), and 1-10 years with 24 (16%). Christianity had the highest with 74 participants (49.3%), followed by Islam with 71 participants (47.3%), and traditional religion with 5 participants (3.3%). Eight (5.3%) of the participants were primary school graduates; 34 (22.7%) were secondary school graduates; and 108 (72%) were tertiary school graduates. The Yoruba ethnic group, with 77 participants (51.3%), was the most prevalent, followed by Igbo with 50 (33.3%), and Hausa with 3 (2.0%). ABO blood group A and B (positive and negative) individuals were the most diabetic and expressed the most severe cases, while group O positive and AB negative individuals were the least diabetic. T1DM prevention should be a priority for blood group A and B residents.
Background Advanced biological techniques have helped produce more insightful findings on the genetic etiology of infertility that may lead to better management of the condition. This review provides an update on genes predisposing to syndromic and nonsyndromic infertility. Main body The review identified 65 genes linked with infertility and infertility-related disorders. These genes regulate fertility. However, mutational loss of the functions of the genes predisposes to infertility. Twenty-three (23) genes representing 35% were linked with syndromic infertility, while 42 genes (65%) cause nonsyndromic infertility. Of the 42 nonsyndromic genes, 26 predispose to spermatogenic failure and sperm morphological abnormalities, 11 cause ovarian failures, and 5 cause sex reversal and puberty delay. Overall, 31 genes (48%) predispose to male infertility, 15 genes (23%) cause female infertility, and 19 genes (29%) predispose to both. The common feature of male infertility was spermatogenic failure and sperm morphology abnormalities, while ovarian failure has been the most frequently reported among infertile females. The mechanisms leading to these pathologies are gene-specific, which, if targeted in the affected, may lead to improved treatment. Conclusions Mutational loss of the functions of some genes involved in the development and maintenance of fertility may predispose to syndromic or nonsyndromic infertility via gene-specific mechanisms. A treatment procedure that targets the affected gene(s) in individuals expressing infertility may lead to improved treatment.
This survey was aimed at determining the occurrence as well as identifying the insect pests of tomatoes (Solanum lycopersicum), amaranths (Amaranthus spp.), lettuce (Lactuca sativa), green onions (Allium cepa), and cabbage (Brassica oleracae) grown in Ikorodu, Lagos, Nigeria, towards effective control and management. After giving informed consent, structured questionnaires were used to collect demographic data from the participants, including age, education level, and pest control strategy. Two vegetable farms were then selected, of which one was in the metropolis (labeled A) and the second was on the outskirts (labeled B). After visual counting of pests on the vegetables, they were captured with swoop nets, aspirators, and forceps, and then identified in the laboratory using hand lenses and identification keys. The results show that the vegetable farmers were middle-aged men with at least a secondary school education, and chemical application was the most widely used pest control measure in the area. Farm A had 127 pests, with Solanum lycopersicum accounting for 57 (44.88%), followed by Amaranthus spp. (23, representing 18.11%), Brassica oleracae (19, representing 14.97%), Lactuca sativa (18, representing 14.17%), and Allium cepa (10, representing 7.87%). Farm B had 101 pests, of which Solanum lycopersicum accounted for 44 (43.56%), followed by Amaranthus spp. with 22 (21.78%), Lactuca sativa and Brassica oleracae each had 13 (12.87%), and Allium cepa had 9 (8.92%). Aphids were the most predominant pests with 69 members, followed by hornworms with 32, thrips and pumpkin bees each had 27, cutworms had 26, and white flies had 24, respectively. Overall, the results showed that there is a heavy pest infestation of vegetables in Ikorodu. Farmers need to be educated on pest control and management.
Educational programmes all over the world are facing increasing pressure to integrate information technology in the curriculum. Knowledge of bioinformatics is at infancy in Nigeria it is therefore imperative to develop and build the capacity for high-throughput determination and computational analysis of the nucleotide base sequences of the genomes of organisms. The present communication navigated the ENTREZ Web page and downloaded sequences of Cystathionine gamma-lyase gene from Saccharomyces cerevisiae. The sequence is then represented in the five best known database formats namely Plain, FASTA, EMBL, GCG and Genebank thereby making it more visible and available for other research applications such as comparative genomic analysis, evolutionary studies, searching for and identification of regulatory elements and scanning for mutations. The present study highlights data retrieval and representation. Data retrieval is important as it provides the opportunity to engage in data mining for discovery, a convenient alternative to traditional wet laboratories, providing biological insights, and proficiency to access and use the vast repository of computational and webbased resources which are the most available information in the world today.
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