Utility of large consanguineous family-based model for investigating the genetics of type 2 diabetes mellitus

Objectives

This study examined the utility of a family-based model for replicating the results of genome-wide association studies (GWAS) of type 2 diabetes (T2D).

Methods and results

In a total of 232 members of a large consanguineous Omani Arab pedigree (age: 16–80 years), there were 27 diabetics and 50 prediabetics (17 with impaired fasting glucose and 33 with impaired glucose tolerance). All 232 individuals underwent anthropometric and biochemical investigations and genotyped for 14 known common gene variants of modest effect on T2D risk. Power analysis at a LOD score of 3, gave 80% power to locate a single specific locus that accounts for 52% of the total phenotypic variation. Measured genotype analysis (MGA) was used to determine heritability of various quantitative traits (QTs) which ranged 25–56%. Using MGA, some common gene variants were found to have little (< 5%) but significant impact on the heritability of T2D related QTs [KCNJ11 (rs5219), p = 0.004]; [IGF2BP2 (rs4402960), p = 0.02]; [SLC30A8 (rs13266634), p = 0.05]; [CAPN10 (rs2975760), p = 0.031]; [FTO (rs8050136), p = 0.023]; [FTO (rs9939609), p = 0.018] and [SLC30A8 (rs13266634), p = 0.05]. Sib-TDT analysis showed that some gene variants were significantly associated with T2D risk but didn't reach the level of significance after Bonferroni correction [KCNJ11 (rs5219), p = 0.047] and [CAPN10 (rs41266971), p = 0.035].

Conclusion

We have demonstrated that, in principle, a family-based model with minor limitations could be used to replicate some of the results of large GWAS case–control studies. This model could successfully be applied for the future discovery, by deep sequencing, of rare gene variants.     

Optimal C:N ratio for the production of red pigments by Monascus ruber

The carbon-to-nitrogen (C:N) ratio in the biomass of microfungi tends to be quite different (e.g. 10–15) compared with the C:N ratio in the red pigments (e.g. >20) of the fungus Monascus ruber. Therefore, determining an optimal C:N ratio in the culture medium for maximizing the production of the pigments is important. A culture medium composition is established for maximizing the production of the red pigment by the fungus M. ruber ICMP 15220 in submerged culture. The highest volumetric productivity of the red pigment was 0.023 AU L^?1 h^?1 in a batch culture (30 °C, initial pH of 6.5) with a defined medium of the following composition (g L^?1): glucose (10), monosodium glutamate (MSG) (10), MgSO₄·7H₂O (0.5), KH₂PO₄ (5), K₂HPO₄ (5), ZnSO₄·7H₂O (0.01), FeSO₄·7H₂O (0.01), CaCl₂ (0.1), MnSO₄·H₂O (0.03). This medium formulation had a C:N mole ratio of 9:1. Under these conditions, the specific growth rate of the fungus was 0.043 h^?1 and the peak biomass concentration was 6.7 g L^?1 in a 7-day culture. The biomass specific productivity of the red pigment was 1.06 AU g^?1 h^?1. The best nitrogen source proved to be MSG although four other inorganic nitrogen sources were evaluated.     

Spotting East African Mammals in Open Savannah from Space

Knowledge of population dynamics is essential for managing and conserving wildlife. Traditional methods of counting wild animals such as aerial survey or ground counts not only disturb animals, but also can be labour intensive and costly. New, commercially available very high-resolution satellite images offer great potential for accurate estimates of animal abundance over large open areas. However, little research has been conducted in the area of satellite-aided wildlife census, although computer processing speeds and image analysis algorithms have vastly improved. This paper explores the possibility of detecting large animals in the open savannah of Maasai Mara National Reserve, Kenya from very high-resolution GeoEye-1 satellite images. A hybrid image classification method was employed for this specific purpose by incorporating the advantages of both pixel-based and object-based image classification approaches. This was performed in two steps: firstly, a pixel-based image classification method, i.e., artificial neural network was applied to classify potential targets with similar spectral reflectance at pixel level; and then an object-based image classification method was used to further differentiate animal targets from the surrounding landscapes through the applications of expert knowledge. As a result, the large animals in two pilot study areas were successfully detected with an average count error of 8.2%, omission error of 6.6% and commission error of 13.7%. The results of the study show for the first time that it is feasible to perform automated detection and counting of large wild animals in open savannahs from space, and therefore provide a complementary and alternative approach to the conventional wildlife survey techniques.     

Distribution and Clinical Manifestations of Cryptosporidium Species and Subtypes in HIV/AIDS Patients in Ethiopia

Background

Cryptosporidiosis is an important cause for chronic diarrhea and death in HIV/AIDS patients. Among common Cryptosporidium species in humans, C. parvum is responsible for most zoonotic infections in industrialized nations. Nevertheless, the clinical significance of C. parvum and role of zoonotic transmission in cryptosporidiosis epidemiology in developing countries remain unclear.

Methodology/Principal Findings

In this cross-sectional study, 520 HIV/AIDS patients were examined for Cryptosporidium presence in stool samples using genotyping and subtyping techniques. Altogether, 140 (26.9%) patients were positive for Cryptosporidium spp. by PCR-RFLP analysis of the small subunit rRNA gene, belonging to C. parvum (92 patients), C. hominis (25 patients), C. viatorum (10 patients), C. felis (5 patients), C. meleagridis (3 patients), C. canis (2 patients), C. xiaoi (2 patients), and mixture of C. parvum and C. hominis (1 patient). Sequence analyses of the 60 kDa glycoprotein gene revealed a high genetic diversity within the 82 C. parvum and 19 C. hominis specimens subtyped, including C. parvum zoonotic subtype families IIa (71) and IId (5) and anthroponotic subtype families IIc (2), IIb (1), IIe (1) and If-like (2), and C. hominis subtype families Id (13), Ie (5), and Ib (1). Overall, Cryptosporidium infection was associated with the occurrence of diarrhea and vomiting. Diarrhea was attributable mostly to C. parvum subtype family IIa and C. hominis, whereas vomiting was largely attributable to C. hominis and rare Cryptosporidium species. Calf contact was identified as a significant risk factor for infection with Cryptosporidium spp., especially C. parvum subtype family IIa.

Conclusions/Significance

Results of the study indicate that C. parvum is a major cause of cryptosporidiosis in HIV-positive patients and zoonotic transmission is important in cryptosporidiosis epidemiology in Ethiopia. In addition, they confirm that different Cryptosporidium species and subtypes are linked to different clinical manifestations.     

Active substances against trypomastigote forms of Trypanosoma cruzi and microorganisms are produced in sequence by Talaromyces flavus

The conditions for the sequential production of antibiotic activity by Talaromyces flavus were determined. The highest level of activity against Trypanosoma cruzi was obtained from the aqueous extract of the Czapeck's fermentative culture after 48 hours, with lysis of 97.58% of the trypomastigote forms of Trypanosoma cruzi (red blood cells remained normal). The antimicrobial activity was detected in the extracts of fermentative cultures from different media just after 144 hours of incubation. Maximum activities against Micrococcus luteus, Staphylococcus aureus and Candida albicans were present in chloroform, butanolic and water extracts, in this order, when Talaromyces flavus was cultivated at pH 5.0. The minimal inhibitory concentration (MIC) of extracts of Takeuchi's cultures were determined.