Fatty acid composition of breast milk from Nigerian and Japanese women

The fatty acid composition of samples of breast milk obtained from well-nourished Nigerian and Japanese women was determined by gas chromatography. The cultural differences in dietary intake was reflected in the fatty acid composition of breast milk samples. The milk of Nigerian women contained a significantly higher percentage of saturated fatty acids (48.75%) than that of Japanese women (46.65%). Nigerian milks were also richer in arachidonic (20:4 n-6), eicosatrienoic (20:3 n-6), and docosatetraenoic (22:4 n-6) acids. Conversely, the milk of Japanese woman contained significantly higher percentages of monoun-saturates as palmitoleic, heptadecenoic, oleic, and polyunsaturates of n-3 series as alpha-linolenic, eicosapentaenoic, and docosahexaenoic acid.

Multiple enamel pearls in two siblings detected by volumetric computed tomography

A rare case of multiple enamel pearl formation is presented involving the maxillary molars in two siblings incidentally recognized during volumetric CT examination. Although the pathogenesis of ectopic enamel formation is not known, possible mechanisms to account for this phenomenon are discussed in the context of current knowledge regarding root genesis. The radiographic presentation of enamel pearls and its clinical significance is also discussed. The observation of multiple enamel pearls in two siblings raises the possibility of a hereditary association in the formation of enamel pearls.

Study of association between sickle cell trait and renal dysfunction among young adults in South-west Nigeria

Background

Although sickle cell disease has become a recognized etiology of chronic kidney disease (CKD), the sickle cell trait (SCT) variant was until recently believed to be a benign carrier state with little or no effect on the health of affected individuals. However, recent studies now appear to suggest an association between SCT and CKD.

Objective

The objective of the study is to determine the association between SCT (hemoglobin AS) and renal dysfunction among young Nigerian adults.

Methodology

This was a cross-sectional, descriptive study among apparently healthy undergraduates of Adeyemi College of Education, Ondo, southwest Nigeria. Their hemoglobin genotypes were determined using standard alkaline electrophoresis; their blood pressure, anthropometry, serum total cholesterol (TC), creatinine, and estimated glomerular filtration rate (eGFR) were determined. Data analyzed using Statistical Package for Social Sciences (SPSS) 20 were significant at P < 0.05.

Results

Six hundred and two subjects with HbAS (SCT, n = 465) and HbAA (non-SCT, n = 137) were studied. Their age range was 18-30 years with male-to-female ratio 1:3.8. There was no difference in the prevalence of renal dysfunction between SCT and non-SCT subjects (5.1% vs. 5.2%, P = 0.591). There was no increased risk of CKD among subjects with SCT (PR, 0.99 at 95% CI [0.417-2.348]).

Conclusion

SCT was not associated with increased risk of renal dysfunction among young adults in Nigeria. Further studies are needed to clarify the controversy, especially in Nigeria, with a relatively higher prevalence of SCT.

Large-Scale Machine Learning Analysis Reveals DNA Methylation and Gene Expression Response Signatures for Gemcitabine-Treated Pancreatic Cancer

Background: Gemcitabine is a first-line chemotherapy for pancreatic adenocarcinoma (PAAD), but many PAAD patients do not respond to gemcitabine-containing treatments. Being able to predict such nonresponders would hence permit the undelayed administration of more promising treatments while sparing gemcitabine life-threatening side effects for those patients. Unfortunately, the few predictors of PAAD patient response to this drug are weak, none of them exploiting yet the power of machine learning (ML). Methods: Here, we applied ML to predict the response of PAAD patients to gemcitabine from the molecular profiles of their tumors. More concretely, we collected diverse molecular profiles of PAAD patient tumors along with the corresponding clinical data (gemcitabine responses and clinical features) from the Genomic Data Commons resource. From systematically combining 8 tumor profiles with 16 classification algorithms, each of the resulting 128 ML models was evaluated by multiple 10-fold cross-validations. Results: Only 7 of these 128 models were predictive, which underlines the importance of carrying out such a large-scale analysis to avoid missing the most predictive models. These were here random forest using 4 selected mRNAs [0.44 Matthews correlation coefficient (MCC), 0.785 receiver operating characteristic-area under the curve (ROC-AUC)] and XGBoost combining 12 DNA methylation probes (0.32 MCC, 0.697 ROC-AUC). By contrast, the hENT1 marker obtained much worse random-level performance (practically 0 MCC, 0.5 ROC-AUC). Despite not being trained to predict prognosis (overall and progression-free survival), these ML models were also able to anticipate this patient outcome. Conclusions: We release these promising ML models so that they can be evaluated prospectively on other gemcitabine-treated PAAD patients.

Metabolic Syndrome and Atherosclerotic Cardiovascular Risk in a Population Of Market Women in a Semi-Urban Town, South-West Nigeria

BACKGROUND

Metabolic Syndrome (MS) is a non-communicable disease of global significance. The presence of MS denotes increased risk of cardiovascular disease. The global prevalence of MS is on the increase because of lifestyle changes like consumption of high calorie, low fibre foods coupled with reduced physical activity OBJECTIVES: To determine the prevalence of MS and its components and to estimate atherosclerotic cardiovascular disease (ASCVD) risk in a population of market women.

METHODS

A cross-sectional, observational study among female traders in a market in South-western Nigeria. MS was determined using the harmonized NCEP-ATPIII and IDF criteria. The ASCVD risk estimator by the American College of Cardiologists and American Heart Association was used to assess ASCVD risk.

RESULTS

One hundred and sixty-nine female traders aged 23 to 80 years with a mean age of 52.8±13.2 years were involved in the study. Overweight and obesity were seen in 61 (36.5%) and 57 (34.1%) participants respectively. Prevalence of MS was 34.9% and the most frequent components of MS were hypertension (62.1%), low HDL-cholesterol (53.8%) and elevated serum triglycerides (18.3%). MS was associated with increasing age (p= 0.010) and BMI (p= 0.009). Significant 10-year ASCVD risk was found in 63 (52.1%) out of 121 participants eligible for ASCVD risk estimation. Significant 10-year ASCVD risk was found in 33(67%) out of 59 participants with MS.

CONCLUSION

This study demonstrated significant risk for cardiovascular disease in a population of market women. A more active lifestyle, appropriate diet and treatment of hypertension, diabetes and dyslipidaemia should be encouraged.