The metabolic syndrome: prevalence, associated factors, and impact on survival among older persons in rural Bangladesh

Objectives

To describe the prevalence of the metabolic syndrome (MetS) among older persons in rural Bangladesh, to investigate whether the prevalence varies by age, sex, literacy, marital status, nutritional status and socio-economic status, and to assess the impact of MetS on survival.

Methods

The study consisted of 456 persons who were aged ≥60 years living in a rural area of Bangladesh during July 2003–March 2004. Data were collected through interview, clinical examination, and laboratory tests, and their survival status until 30^th June 2009 was ascertained through the Matlab surveillance system. We defined MetS following the NCEP ATP III criteria, with minor modifications, i.e., presence of any three of the following: hypertension (BP ≥130/85 mm Hg); random blood glucose (RBG) level ≥7.0 mmol/L; hyper-triglyceridemia (≥2.28 mmol/L); low level of HDL-cholesterol (<1.04 mmol/L for men and <1.29 mmol/L for women); and BMI ≥25.0 kg/m². Data were analysed with logistic regressions for the influential factors of MetS, and with Cox models for the association of MetS with the survival status.

Findings

The overall prevalence of MetS was 19.5%, 20.8% in women, and 18.0% in men. Asset-index and nutritional status were independently associated with MetS. During 4.93 years of follow-up, 18.2% died. In the presence of high RBG, MetS has a significant negative effect on survival (69.4% vs 95.2%, log rank p = 0.02).

Conclusion

This study highlights the importance of the metabolic syndrome in rural Bangladesh. Our findings suggest that there is a need for screening programmes involving the metabolic syndrome to prevent diabetes and cardiovascular diseases.     

Interaction between NANOS2 and the CCR4-NOT deadenylation complex is essential for male germ cell development in mouse

Nanos is one of the evolutionarily conserved proteins implicated in germ cell development and we have previously shown that it interacts with the CCR4-NOT deadenylation complex leading to the suppression of specific RNAs. However, the molecular mechanism and physiological significance of this interaction have remained elusive. In our present study, we identify CNOT1, a component of the CCR4-NOT deadenylation complex, as a direct factor mediating the interaction with NANOS2. We find that the first 10 amino acids (AAs) of NANOS2 are required for this binding. We further observe that a NANOS2 mutant lacking these first 10 AAs (NANOS2-ΔN10) fails to rescue defects in the Nanos2-null mouse. Our current data thus indicate that the interaction with the CCR4-NOT deadenylation complex is essential for NANOS2 function. In addition, we further demonstrate that NANOS2-ΔN10 can associate with specific mRNAs as well as wild-type NANOS2, suggesting the existence of other NANOS2-associated factor(s) that determine the specificity of RNA-binding independently of the CCR4-NOT deadenylation complex.     

Optimization of DNA extraction from seeds and leaf tissues of Chrysanthemum (Chrysanthemum indicum) for polymerase chain reaction

Chrysanthemums constitute approximately 30 species of perennial flowering plants, belonging to the family Asteraceae, native to Asia and Northeastern Europe. Chrysanthemum is a natural cosmetic additive extracted from Chinese herb by modern biochemical technology. It has the properties of anti-bacterial, anti-viral, reducing (detoxification) and anti-inflammation. It possesses antioxidant characteristics, which could assist in minimizing free-radical induced damage. Therefore, it is widely used in skin and hair care products. Chemical composition of this herbal remedy includes kikkanols, sesquiterpenes, flavonoids, various essential oils containing camphor, cineole, sabinol, borneole and other elements that interfere with DNA, causing erroneous or no PCR products. In the present study, testing and modification of various standard protocols for isolation of high-quality DNA from leaf tissues and seeds of C. indicum was done. It was observed that the DNA obtained from seeds and leaf tissues with a modified cetyltrimethylammonium bromide buffer protocol was of good quality, with no colored pigments and contaminants. Also, DNA could be extracted from leaf tissues without using liquid nitrogen. Quality of DNA extracted from seeds was much better as compared to that extracted from leaf tissues. The extracted DNA was successfully amplified by PCR using arbitrary RAPD primers. The same protocol will probably be useful for extraction of high-molecular weight DNA from other plant materials containing large amounts of secondary metabolites and essential oils.     

Towards Post-Meiotic Sperm Production: Genetic Insight into Human Infertility from Mouse Models

Declined quality and quantity of sperm is currently the major cause of patients suffering from infertility. Male germ cell development is spatiotemporally regulated throughout the whole developmental process. While it has been known that exogenous factors, such as environmental exposure, diet and lifestyle, et al, play causative roles in male infertility, recent progress has revealed abundant genetic mutations tightly associated with defective male germline development. In mammals, male germ cells undergo dramatic morphological change (i.e., nuclear condensation) and chromatin remodeling during post-meiotic haploid germline development, a process termed spermiogenesis; However, the molecular machinery players and functional mechanisms have yet to be identified. To date, accumulated evidence suggests that disruption in any step of haploid germline development is likely manifested as fertility issues with low sperm count, poor sperm motility, aberrant sperm morphology or combined. With the continually declined cost of next-generation sequencing and recent progress of CRISPR/Cas9 technology, growing studies have revealed a vast number of disease-causing genetic variants associated with spermiogenic defects in both mice and humans, along with mechanistic insights partially attained and validated through genetically engineered mouse models (GEMMs). In this review, we mainly summarize genes that are functional at post-meiotic stage. Identification and characterization of deleterious genetic variants should aid in our understanding of germline development, and thereby further improve the diagnosis and treatment of male infertility.     

The use of simple model systems to study spliceosomal catalysis

Since direct analysis of many aspects of spliceosomal function is greatly hindered by the daunting complexity of the spliceosome, the development of functionally validated simple model systems can be of great value. The critical role played by a base-paired complex of U6 and U2 snRNAs in splicing in vivo suggests that this complex could be a suitable starting point for the development of such a simple model system. However, several criteria must be satisfied before such a snRNA-based in vitro system can be considered a valid model for the spliceosomal catalytic core, including similarities at the level of reaction chemistry and cationic and sequence requirements. Previous functional analyses of in vitro assembled base-paired complexes of human U2 and U6 snRNAs have been promising, providing insight into catalysis. Furthermore, they strongly suggest that with further optimization, these RNAs might indeed be able to recapitulate the function of the spliceosomal catalytic core, thus opening the door to several lines of study not previously possible.     

Maximizing quantitative accuracy of lung airway lumen and wall measures obtained from X-ray CT imaging.

To objectively quantify airway geometry from three-dimensional computed tomographic (CT) images, an idealized (circular cross section) airway model is parameterized by airway luminal caliber, wall thickness, and tilt angle. Using a two-dimensional CT slice, an initial guess for the airway center, and the full-width-half-maximum principle, we form an estimate of inner and outer airway wall locations. We then fit ellipses to the inner and outer airway walls via a direct least squares fit and use the major and minor axes of the ellipses to estimate the tilt and in-plane rotation angles. Convolving the airway model, initialized with these estimates, with the three-dimensional scanner point-spread function forms the predicted image. The difference between predicted and actual images is minimized by refining the model parameter estimates via a multidimensional, unconstrained, nonlinear minimization routine. When optimization converges, airway model parameters estimate the airway inner and outer radii and tilt angle. Results using a Plexiglas phantom show that tilt angle is estimated to within +/-4 degrees and both inner and outer radii to within one-half pixel when a "standard" CT reconstruction kernel is used. By opening up the ability to measure airways that are not oriented perpendicular to the scanning plane, this method allows evaluation of a greater sampling of airways in a two-dimensional CT slice than previously possible. In addition, by combining the tilt-angle compensation with the deconvolution method, we provide significant improvement over the previous full-width-half-maximum method for assessing location of the luminal edge but not the outer edge of the airway wall.