Association of RETN C-420G single nucleotide polymorphism with type 2 diabetes mellitus in Pakistani Punjabi Rajput population.

OBJECTIVE: To determine the association of human resistin gene RETN C-420G single nucleotide polymorphism with type 2 diabetes mellitus in a specific ethnic population.. METHODS: The controlled study was conducted from June 2012 to January 2015 at Military Hospital, Rawalpindi, Army Medical College, Rawalpindi, and the Institute of Biomedical and Genetic Engineering, Islamabad, Pakistan. Patients with type 2 diabetes and healthy controls belonging to Pakistani Punjabi Rajput ethnic group were genotyped for human resistin gene RETNC-420G single nucleotide polymorphism. Serum resistin, serum insulin, fasting blood sugar, lipid profile, body mass index and insulin resistance was determined and correlated with genotypes. SPSS 18 was used for data analysis. RESULTS: Of the 789 subjects, 539(68%) were diabetics and 250(32%) were controls. Serum resistin levels were significantly higher in diabetics than controls (p<0.05). The frequency of GG, GC and CC was 15(2.8%), 322(59.75%) and 202(37.5%) in diabtics. This single nucleotide polymorphism was associated with diabetes (p<0.02).Human resistin gene RETN C-420G single nucleotide polymorphism was not associated with serum resistin, insulin, body mass index, insulin resistance and dyslipidaemia in both groups (p<0.05 each). CONCLUSIONS: Human resistin gene RETN C-420G single nucleotide polymorphism was found to be a risk factor for type 2 diabetes in Pakistani Punjabi Rajput population..

Biological Activities and Secondary Metabolite Screening of Rumex hastatus Extract through Fourier Transform Infrared and Raman Spectroscopy.

BACKGROUND: Human infectious diseases are caused by various pathogens including bacteria, fungi, viruses, parasites, and protozoans. These infectious agents are controlled by using synthetic drugs as well as natural sources. OBJECTIVE: The aim of current study was to evaluate the antibacterial effect of Rumex hastatus against clinical bacterial pathogens. METHODS: In current research antibacterial effect of Rumex hastatus was analyzed against seven clinical pathogenic bacteria such as Escherichia coli, Serratia marcescens, Streptococcus pyogenes, Staphylococcus epidermidis, Staphylococcus aureus, Klebsiella pneumoniae and Pseudomonas aeruginosa through agar well diffusion method. The boiled extract was used for the phytochemical screening, antioxidant potential, thin layer chromatography, bio-autography, and spot screening. Genomic DNA was extracted to find the DNA protection effect of R. hastatus. RESULTS: Antibacterial results showed that diethyl ether extract has the maximum inhibition of S. pyogenes (9.66 ± 0.57 mm). Acetone and diethyl ether extracts showed moderate inhibition of K. pneumoniae (6.33 ± 1.52 mm and 5.66 ±1.15 mm) and S. aureus (6.33 ± 1.52 mm and 5.66 ± 0.57 mm). Similarly, chloroform extract indicated moderate inhibition of S. pyogenes (5.66 ± 1.15 mm). Ethanol extract had low or even no effect on the growth of bacteria. Genomic DNA extraction also encouraged the antibacterial effect of R. hastatus. Various phytochemical constituents such as ketoses, oligosaccharides, amino acids, amines, sugars, flavonoids, and antioxidant constituents were detected. TLC-Bioautography and spot screening results revealed the potential use of R. hustatus as an antibacterial agent. CONCLUSION: It was concluded that most of the tested fractions appeared as an important source for the discovery of new antimicrobial drugs.

Association of IL-6 C-174G (rs 1800795) single nucleotide polymorphism with type 2 diabetes mellitus in Pakistani population.

OBJECTIVE: To determine the association of interleukin-6 C-174G single nucleotide polymorphism with type 2 diabetes mellitus and metabolic parameters. METHODS: This case-control study was conducted from June 2012 to December 2013 at the Military Hospital Rawalpindi, the Centre for Research in Experimental and Applied Medicine, Army Medical College, Rawalpindi, and the Institute of Biomedical and Genetic Engineering, Islamabad, Pakistan. Two cohorts of subjects were genotyped for the single nucleotide polymorphism. One cohort comprised type 2 diabetics and other included healthy subjects. In these groups, serum interleukin-6, serum insulin, blood sugar fasting, lipid profile, body mass index and insulin resistance was determined and correlated with genotypes. RESULTS: Of the 789 participants, 539(68.3%) were in the study group and 250(31.7%) in the control group. Serum interleukin-6 was significantly higher in diabetics than healthy controls (p<0.0001). The frequency of GG, GC and CC was 267(49.5%), 235(43.6%) and 37(6.9%) in diabetic patients and 128(51.2%), 74(29.6%) and 48(19.2%) in healthy controls, respectively. Interleukin-6 C-174G single nucleotide polymorphism was significantly associated with diabetes [odds ratio = 3.22 (95% confidence interval: 2.04-5.1; p<0.0001). Genotypes were within Hardy-Weinberg equilibrium. Interleukin-6 C-174G single nucleotide polymorphism was significantly associated with serum interleukin-6 in the order of GC>GG>CC but was not associated with body mass index, insulin resistance, serum insulin and dyslipidaemia in diabetic patients (p>0.05 each). CONCLUSIONS: Interleukin-6 C-174G single nucleotide polymorphism was a risk factor in type 2 diabetes and contributed to higher serum interleukin-6 levels among the participants.

Association of the rs1042522 polymorphism with increased risk of prostate adenocarcinoma in the Pakistani population and its HuGE review.

Prostate adenocarcinoma is one of the leading causes of cancer related mortality in men but still limited knowledge is available about its associated functional SNPs including rs1042522 (Pro72Arg). The present study was undertaken to explore the association of this SNP with susceptibility to prostate adenocarcinoma along with its structural and functional impacts in the Pakistani population in a case-control study. Three-dimensional structure of human TP53 with Pro72Arg polymorphism was predicted through homology modeling, refined and validated for detailed structure-based assessment. We also carried out a HuGE review of the previous available data for this polymorphism. Different genetic models were used to evaluate the genotypes association with the increased risk of PCa (Allelic contrast: OR=0.0.34, 95%CI 0.24-0.50, p=0.000; GG vs CC: OR=0.17, 95%CI 0.08-0.38, p=0.000; Homozygous: OR=0.08, 95%CI 0.04-0.15, p=0.000; GC vs CC: OR=2.14, 95%CI 1.01-4.51, p=0.046; Recessive model: OR=0.10, 95%CI 0.05-0.18, p=0.000; Log Additive: OR=3.54, 95%CI 2.13-5.89, p=0.000) except the Dominant model (OR=0.77, 95%CI 0.39-1.52, p=0.46). Structure and functional analysis revealed that the SNP in the proline rich domain is responsible for interaction with HRMT1L2 and WWOX. In conclusion, it was observed that the Arg coding G allele is highly associated with increased risk of prostate adenocarcinoma in the Pakistani population (p=0.000).