The Impact of Artificial Intelligence on Microbial Diagnosis.

Traditional microbial diagnostic methods face many obstacles such as sample handling, culture difficulties, misidentification, and delays in determining susceptibility. The advent of artificial intelligence (AI) has markedly transformed microbial diagnostics with rapid and precise analyses. Nonetheless, ethical considerations accompany AI adoption, necessitating measures to uphold patient privacy, mitigate biases, and ensure data integrity. This review examines conventional diagnostic hurdles, stressing the significance of standardized procedures in sample processing. It underscores AI's significant impact, particularly through machine learning (ML), in microbial diagnostics. Recent progressions in AI, particularly ML methodologies, are explored, showcasing their influence on microbial categorization, comprehension of microorganism interactions, and augmentation of microscopy capabilities. This review furnishes a comprehensive evaluation of AI's utility in microbial diagnostics, addressing both advantages and challenges. A few case studies including SARS-CoV-2, malaria, and mycobacteria serve to illustrate AI's potential for swift and precise diagnosis. Utilization of convolutional neural networks (CNNs) in digital pathology, automated bacterial classification, and colony counting further underscores AI's versatility. Additionally, AI improves antimicrobial susceptibility assessment and contributes to disease surveillance, outbreak forecasting, and real-time monitoring. Despite a few limitations, integration of AI in diagnostic microbiology presents robust solutions, user-friendly algorithms, and comprehensive training, promising paradigm-shifting advancements in healthcare.

COVID-19 Linked Social Stigma Among Arab Survivors: A Cross-Sectional Experiences from the Active Phase of the Pandemic.

Objective: This study aimed to explore the magnitude and variability of the disease-linked stigma among COVID-19 survivors and their experiences of social stigma, coping strategies, contextual challenges, and preferences for support. Methods: An Arabic version of the social stigma survey questionnaire was designed and validated to obtain socio-demographic characteristics and quantitative measures of stigma encountered by the survivors. 482 COVID-19 survivors completed the survey, and the data were analyzed using descriptive statistics and thematic analysis. Results: The results of this study revealed the prevalence of high levels of both perceived external stigma and enacted stigma among participants. Enacted and Internalized stigma were associated with survivors' educational background/ status. The participants suggested three levels of support: organizational, social, and personal. Establishing an online stigma reduction program and national psychological crisis interventions at the organizational level. It is crucial to assist coping mechanisms and societal reintegration techniques at the social level. Conclusion: These results provide valuable insights for holistic health policy formation and preparedness strategies for future pandemics, helping survivors promote health and reintegrate into society, where stigma reduction and psychological crisis interventions are underdeveloped.

Organochlorine pesticides disrupt T helper cell regulation and reduce IL-2 and IFN-γ favoring infection and production of autoantibodies among pemphigus patients.

The list of environmental factors that trigger autoimmune diseases in genetically susceptible individuals has grown in the recent years and is far from complete. The possible intervention of the environment in triggering these diseases is ever more perceived by the clinicians. This study investigated the effect of environmental factors like organochlorine pesticides (OCPs) on proportions of different T lymphocyte subsets and their cytokine secretion in-vitro among pemphigus patients, before and after specific immunosuppressive therapy. Higher levels of OCPs like ß-HCH (isoform of hexachlorohexane), α-endosulfan (a form of endosulfan) and p,p΄-DDE (a metabolite of o,p'-dichlorodiphenyltrichloroethane) were observed in the blood of pemphigus patients as compared to healthy controls. HCH and DDT exposure caused specific reduction in CD8+CD45RA+ and CD4+CD25+ T lymphocyte subpopulations in these patient PBMCs. A strong reduction in Th1 (IL-2 and IFN-γ) cytokines upon exposure to these OCPs in-vitro was also observed. These findings indicate that HCH and DDT have a significant impact on Th1 lymphocytes. Impaired production of these cytokines might favor infections and production of autoantibodies. We therefore speculate that the systemic absorption of the pesticide after the topical contact may be one of the factors triggering the immunological mechanism among pemphigus patients.

Role of available COVID-19 vaccines in reducing deaths and perspective for next generation vaccines and therapies to counter emerging viral variants: an update.

The COVID-19 disease wreaked havoc all over the world causing more than 6 million deaths out of over 519 million confirmed cases. It not only disturbed the human race health-wise but also caused huge economic losses and social disturbances. The utmost urgency to counter pandemic was to develop effective vaccines as well as treatments that could reduce the incidences of infection, hospitalization and deaths. The most known vaccines that could help in managing these parameters are Oxford-AstraZeneca (AZD1222), Pfizer-BioNTech (BNT162b2), Moderna (mRNA-1273) and Johnson & Johnson (Ad26.COV2.S). The effectiveness of AZD1222 vaccine in reducing deaths is 88% in the age group 40-59 years, touching 100% in the age group 16-44 years & 65-84 years. BNT162b2 vaccine also did well in reducing deaths due to COVID-19 (95% in the age group 40-49 years and 100% in the age group 16-44 years. Similarly, mRNA-1273 vaccine showed potential in reducing COVID-19 deaths with effectiveness ranging from 80.3 to 100% depending upon age group of the vaccinated individuals. Ad26.COV2.S vaccine was also 100% effective in reducing COVID-19 deaths. The SARS-CoV-2 emerging variants have emphasized the need of booster vaccine doses to enhance protective immunity in vaccinated individuals. Additionally, therapeutic effectiveness of Molnupiravir, Paxlovid and Evusheld are also providing resistance against the spread of COVID-19 disease as well as may be effective against emerging variants. This review highlights the progress in developing COVID-19 vaccines, their protective efficacies, advances being made to design more efficacious vaccines, and presents an overview on advancements in developing potent drugs and monoclonal antibodies for countering COVID-19 and emerging variants of SARS-CoV-2 including the most recently emerged and highly mutated Omicron variant.

Combined effect of ipilimumab and nivolumab improves oncology endpoints in metastatic melanoma patients.

Metastatic melanoma has less frequency, but considered as the most dreaded cancer. The combination of nivolumab & ipilimumab is proving their mettle in treating metastatic melanoma. The patients when administered with the combination of nivolumab & ipilimumab have shown improved median progression free survival, objective response rate and overall survival rate compared with nivolumab and ipilimumab monotherapy. The combination shrinks the tumor cells by attacking different checkpoints viz. CTLA-4 and PD-L1, respectively. The combination treatment reveals reduced disease progression and suggests nivolumab's non-cross resistant nature. The median progression free survival in "nivolumab plus ipilimumab" group has shown an increase of 66.7% and 296.6% in comparison to nivolumab and ipilimumab monotherapy. The other parameter viz. objective response rate improvement is equivalent to almost 14% and 38.6% when compared to nivolumab and ipilimumab monotherapy, respectively.

Microbes in gynecologic cancers: Causes or consequences and therapeutic potential.

Gynecologic cancers, starting in the reproductive organs of females, include cancer of cervix, endometrium, ovary commonly and vagina and vulva rarely. The changes in the composition of microbiome in gut and vagina affect immune and metabolic signaling of the host cells resulting in chronic inflammation, angiogenesis, cellular proliferation, genome instability, epithelial barrier breach and metabolic dysregulation that may lead to the onset or aggravated progression of gynecologic cancers. While microbiome in gynecologic cancers is just at horizon, certain significant microbiome signature associations have been found. Cervical cancer is accompanied with high loads of human papillomavirus, Fusobacteria and Sneathia species; endometrial cancer is reported to have presence of Atopobium vaginae and Porphyromonas species and significantly elevated levels of Proteobacteria and Firmicutes phylum bacteria, with Chlamydia trachomatis, Lactobacillus and Mycobacterium reported in ovarian cancer. Balancing microbiome composition in gynecologic cancers has the potential to be used as a therapeutic target. For example, the Lactobacillus species may play an important role in blocking adhesions of incursive pathogens to vaginal epithelium by lowering the pH, producing bacteriocins and employing competitive exclusions. The optimum or personalized balance of the microbiota can be maintained using pre- and probiotics, and fecal microbiota transplantations loaded with specific bacteria. Current evidence strongly suggest that a healthy microbiome can train and trigger the body's immune response to attack various gynecologic cancers. Furthermore, microbiome modulations can potentially contribute to improvements in immuno-oncology therapies.

IFN-γ +874 A>T (rs2430561) gene polymorphism and risk of pulmonary tuberculosis: a meta-analysis.

INTRODUCTION: The role of interferon gamma (IFN-γ) +874 A>T (rs2430561) gene polymorphism has been evaluated in different ethnicities with pulmonary tuberculosis (PTB) infection, and inconsistent results have been reported. In this study, a meta-analysis was performed to determine the precise association between IFN-γ +874 A>T gene polymorphism and PTB susceptibility. MATERIAL AND METHODS: A total of 21 studies comprising 4281 confirmed PTB cases and 5186 healthy controls were included in this meta-analysis by searching the PubMed (Medline), EMBASE, and Google Scholar web-databases. RESULTS: We observed reduced risk of PTB in allelic contrast (T vs. A: p = 0.001; OR = 0.818, 95% CI: 0.723-0.926), homozygous (TT vs. AA: p = 0.017; OR = 0.715, 95% CI: 0.543-0.941), heterozygous (AT vs. AA: p = 0.002; OR = 0.782, 95% CI: 0.667-0.917), dominant (TT+AT vs. AA: p = 0.002; OR = 0.768, 95% CI: 0.652-0.906), and recessive (TT vs. AA+AT: p = 0.042; OR = 0.802, 95% CI: 0.649-0.992) genetic models. In ethnicity-wise subgroup analysis, reduced risk of PTB was found in the Caucasian population. However, we did not find an association with any of the genetic models in the Asian population. CONCLUSIONS: In conclusion, the IFN-γ +874 A>T gene polymorphism is significantly associated with reduced risk of PTB, showing a protective effect in the overall and in the Caucasian population. However, this polymorphism is not associated with PTB risk in the Asian population.

Potency of inhibitors depends upon the accessibility of their aromatic rings within the hydrophobic specificity pocket: a novel avenue for future aldose reductase inhibitor design.

Communicated by Ramaswamy H. Sarma.

AA genotype of cyclin D1 G870A polymorphism increases breast cancer risk: Findings of a case-control study and meta-analysis.

BACKGROUND: Cyclin D1 (CCND1) polymorphisms, a regulator of the cell cycle progress from G1 to the S phase, may lead to uncontrolled cell proliferation and lack of apoptosis. G870A, a common single-nucleotide polymorphism in CCND1 influences breast cancer risk. However, the association between G870A polymorphism and breast cancer risk is ambiguous so far. MATERIALS AND METHODS: In this case-control study, we analyzed the role of G870A polymorphism with breast cancer risk in Indian women. A meta-analysis of 18 studies was also performed to elucidate this association by increasing statistical power. RESULTS: In our case-control study, significant risk association of the CCND1 G870A AA genotype with breast cancer in total cohort (odds ratio [OR], 2.98; 95% confidence interval [CI], 1.64-5.42; P value, 4.96e-04) and premenopausal women (OR, 3.31; 95% CI, 1.54-7.08; P value, .003) was found. The results of the meta-analysis showed that AA genotype of the CCND1 G870A polymorphism significantly increases breast cancer risk in total pooled data (AA vs GG+GA: OR = 1.20; 95% CI = 1.03 to 1.39; P value, 0.016*) and Caucasian (AA vs GG+GA: OR = 1.22; 95% CI = 0.99 to 1.51; P value, .056*) but not in Asian population. Further, a significant protective association with breast cancer was also found in the GA vs AA comparison model in pooled data (OR = 0.73; 95% CI = 0.58 to 0.92; P value, .007*) as well as in Caucasian subgroup (OR = 0.62; 95% CI = 0.49 to 0.94; P value, .022*). CONCLUSION: CCND1 G870A AA genotype was found associated with breast cancer risk. Future association studies considering the environmental impact on gene expression are required to validate/explore this association.

Quorum sensing pathways in Gram-positive and -negative bacteria: potential of their interruption in abating drug resistance.

Quorum sensing (QS) is an inter-cell communication between bacterial populations through release of tiny diffusible compounds as signalling agents, called auto-inducers, abetting bacteria to track population density. QS allows bacterial population to perform collectively in coordination to wide phenotypes like alterations in expression of virulence genes to achieve advancement over their competitors, drug resistance and biofilm formation. Several classes of autoinducers have been described that are involved in bacterial virulence. This review gives an insight into the multitudinous QS systems in Gram-positive and Gram-negative bacteria to explore their role in microbial physiology and pathogenesis. Bacterial resistance to antibiotics has clinically become a super challenge. Strategies to interrupt QS pathways by natural and synthetic QS inhibitors or quorum quenchers or analogs provide a potential treatment. We highlight the advancements in discovery of promising new targets for development of next generation antimicrobials to control infections caused by multidrug resistant bacterial pathogens.

Transcriptome analysis of beta-lactamase genes in diarrheagenic Escherichia coli.

Beta (ß)-lactamases are the most important agents that confer drug resistance among gram-negative bacteria. Continuous mutations in ß-lactamases make them remarkably diverse. We carried out the transcriptome analysis of 10 ß-lactamase genes of Extended-Spectrum ß-lactamases (ESBL), Metallo ß-lactamases (MBL), and AmpC ß-lactamases (ABL) in drug-resistant and sensitive diarrheagenic E. coli (DEC) isolates obtained from children up to 5 years of age. Out of the 10 ß-lactamase genes, four belonged to ESBL (TEM, SHV, CTX, and OXA); three to MBL (NDM-1, IMP, and VIM); and three to ABL (ACT, DHA and CMY) class of genes. The different categories of DEC were estimated for ß-lactamases production using a set of conventional phenotypic tests, followed by detection of their messenger RNA (mRNA) expression. The study revealed a direct correlation between mRNA expression of these genes and the presence of antibiotic resistance; also corroborated by mutation analysis of the AmpC promoter region. All the 10 ß-lactamase genes showed a significant increase in their expression levels in resistant isolates, compared to those of the sensitive isolates, indicating their possible role in the disease pathogenesis. Increase in mRNA expression of ß-lactamase genes, and thereby virulence, may be due to multifactorial parameters causing phenotypic as well as genotypic changes. Our study highlights the necessity of instantaneous detection of ß-lactamase gene expression to curb the overwhelming threat posed by emergence of drug resistance amongst the commensal E. coli strains in children from developing countries for larger public health interest.

A trial sequential meta-analysis of IFN-γ +874 A>T (rs2430561) gene polymorphism and extrapulmonary tuberculosis risk.

Interferon-γ (IFN-γ) plays a crucial role in immunological responses against Mycobacterium tuberculosis (M.tb) infection. The polymorphism at +874 A > T (rs2430561) influences the levels of IFN-γ, which may further influence the susceptibility to extrapulmonary tuberculosis (EPTB). This polymorphism has been investigated with respect to EPTB occurrence in different populations and provided contradictory and conflicting results. This study was performed to meta-statistically analyze the data and draw a more accurate conclusion regarding the association of IFN-γ +874 A > T gene polymorphism and EPTB susceptibility. A quantitative synthesis was executed for the pertinent studies retrieved from online web-databases viz. Google Scholar, PubMed/Medline and EMBASE. The pooled odds ratios (ORs) and confidence intervals (95% CIs) were estimated for all the genetic models by meta-analysis. A total of eight studies were retrieved which included 762 confirmed EPTB cases and 1341 controls. The meta-analysis results revealed reduced association of EPTB in allelic contrast (T vs. A: p = 0.001; OR = 0.668, 95% CI = 0.524 to 0.850), homozygous (TT vs. AA: p = 0.017; OR = 0.450, 95% CI = 0.234 to 0.868), heterozygous (AT vs. AA: p = 0.004; OR = 0.574, 95% CI = 0.395 to 0.835), dominant (TT + AT vs. AA: p = 0.003; OR = 0.536, 95% CI = 0.354 to 0.810) and recessive (TT vs. AA + AT: p = 0.039; OR = 0.662, 95% CI = 0.448 to 0.980) genetic models. Furthermore, re-sampling statistics also revealed reduced risk of EPTB in overall population and Asian subgroup. This meta-analysis concluded that IFN-γ +874 A > T gene polymorphism is meaningfully related with the reduced EPTB risk in overall and Asian population, and further necessitates larger studies to be conducted on this topic in other races.

Association of MBL2 gene polymorphisms with pulmonary tuberculosis susceptibility: trial sequence meta-analysis as evidence.

BACKGROUND: Mannose-binding lectin (MBL) or mannose-binding protein (MBP), encoded by MBL2 gene and secreted by the liver, activates complement system through lectin pathway in innate immunity against the host's infection. Conflictingly, a number of MBL2 variants, rs1800450 (A>B), rs1800451 (A>C), rs5030737 (A>D), rs7096206 (Y>X), rs11003125 (H>L), and rs7095891 (P>Q) allele, have been found to be associated with compromised serum levels and pulmonary tuberculosis (PTB) susceptibility. The present meta-analysis study was performed to evaluate the potential association of these MBL2 gene variants with PTB susceptibility. MATERIALS AND METHODS: A quantitative synthesis was performed on PubMed (Medline), EMBASE, and Google Scholar web database searches. A meta-analysis was performed to calculate the pooled odds ratios and 95% CIs for all the genetic models. RESULTS: A total of 14 eligible studies were included to analyze their pooled data for associations between alleles, genotypes, and minor allele carriers. The statistical analysis revealed the significant reduced PTB risk with homozygous variant genotype of rs1800451 polymorphism (CC vs AA: P=0.043; OR =0.828, 95% CI =0.689-0.994). Contrary to this, the variant allele of rs5030737 polymorphism showed association with increased PTB risk (D vs A: P=0.026; OR =1.563, 95% CI =1.054-2.317). However, the other genetic models of rs1800450 (A>B), rs7096206 (Y>X), and rs11003125 (H>L) MBL2 gene polymorphisms did not divulge any association with PTB susceptibility. CONCLUSION: The current meta-analysis concludes that rs1800451 (A>C) and rs5030737 (A>D) polymorphisms of MBL2 gene play a significant role in PTB susceptibility. Further, well-designed epidemiological studies with larger sample size including consideration of environmental factors are warranted for the future.

Niacin deficiency modulates genes involved in cancer: Are smokers at higher risk?

The role of niacin's metabolite, nicotinamide adenine dinucleotide (NAD), in DNA repair via base-excision repair pathway is well documented. We evaluated if niacin deficiency results in genetic instability in normal human fetal lung fibroblasts (MRC-5), and further, does it leads to enhanced accumulation of cigarette smoke-induced genetic damage? MRC-5 cells were grown discretely in niacin-proficient/deficient media, and exposed to nicotine-derived nitrosamine ketone (NNK, a cigarette smoke carcinogen). Niacin deficiency abated the NAD polymerization, augmented the spontaneous induction of micronuclei (MN) and chromosomal aberrations (CA) and raised the expression of 10 genes and suppressed 12 genes involved in different biological functions. NNK exposure resulted in genetic damage as measured by the induction of MN and CA in cells grown in niacin-proficient medium, but the damage became practically marked when niacin-deficient cells were exposed to NNK. NNK exposure raised the expression of 16 genes and suppressed the expression of 56 genes in cells grown in niacin-proficient medium. NNK exposure to niacin-deficient cells raised the expression of eight genes including genes crucial in promoting cancer such as FGFR3 and DUSP1 and suppressed the expression of 33 genes, including genes crucial in preventing the onset and progression of cancer like RASSF2, JUP, and IL24, in comparison with the cells grown in niacin-proficient medium. Overall, niacin deficiency interferes with the DNA damage repair process induced by chemical carcinogens like NNK, and niacin-deficient population are at the higher risk of genetic instability caused by cigarette smoke carcinogen NNK.

Pharmacogenetic association between NAT2 gene polymorphisms and isoniazid induced hepatotoxicity: trial sequence meta-analysis as evidence.

Hepatotoxicity is a severe problem generally faced by tuberculosis (TB) patients. It is a well-known adverse reaction due to anti-TB drugs in TB patients undergoing long-term treatment. The studies published previously have explored the connection of N-acetyltransferase 2 (NAT2) gene polymorphisms with isoniazid-induced hepatotoxicity, but the results obtained were inconsistent and inconclusive. A comprehensive trial sequence meta-analysis was conducted employing 12 studies comprising 3613 controls and 933 confirmed TB cases using the databases namely, EMBASE, PubMed (Medline) and Google Scholar till December 2017. A significant association was observed with individuals carrying variant allele at position 481C>T (T vs. C: P = 0.001; OR = 1.278, 95% CI = 1.1100-1.484), at position 590G>A (A vs. G: P = 0.002; OR = 1.421, 95% CI = 1.137-1.776) and at position 857G>A (A vs. G: P = 0.0022; OR = 1.411, 95% CI = 1.052-1.894) to higher risk of hepatotoxicity vis-à-vis wild-type allele. Likewise, the other genetic models of NAT2 gene polymorphisms have also shown increased risk of hepatotoxicity. No evidence of publication bias was observed. These results suggest that genetic variants of NAT2 gene have significant role in isoniazid induced hepatotoxicity. Thus, NAT2 genotyping has the potential to improve the understanding of the drug-enzyme metabolic capacity and help in early predisposition of isoniazid-induced hepatotoxicity.

A trial sequential meta-analysis of TNF-α -308G>A (rs800629) gene polymorphism and susceptibility to colorectal cancer.

PURPOSE: Tumor necrosis factor-α (TNF-α), secreted by the activated macrophages, may participate in the onset and progression of colorectal cancer (CRC). The association of TNF-α -308 G>A (rs1800629) single-nucleotide polymorphism (SNP) with CRC risk has been investigated by many studies but the results are inconclusive. A trial sequential meta-analysis was performed for precise estimation of the relationship between TNF-α -308 G>A gene polymorphism with CRC risk. METHODS: Medline (PubMed), EMBASE (Excerpta-Medica) and Google Scholar were mined for relevant articles. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated to estimate the significance of association. RESULTS: The pooled analysis indicated no risk associated with TNF-α -308 G>A SNP and overall CRC risk in five genetic comparison models, i.e. allelic (A vs. G: P = 0.524; OR = 1.074, 95% CI = 0.863-1.335), homozygous (AA vs. GG: P = 0.489; OR = 1.227, 95% CI = 0.688-2.188), heterozygous (AG vs. GG: P = 0.811; OR = 1.024, 95% CI = 0.843-1.244), dominant (AA+AG vs. GG: P = 0.630; OR = 1.055, 95% CI = 0.849-1.311) and recessive (AA vs. AG+GG: P = 0.549; OR = 1.181, 95% CI = 0.686-2.033). Subgroup analysis revealed that TNF-α -308 G>A SNP is associated with reduced risk of CRC in Asian ethnicity. The study showed no publication bias. CONCLUSIONS: No association of TNF-α -308 G>A SNP with overall CRC risk was found. This SNP is likely to be protective against CRC in Asian population when compared with Caucasian population. Larger prospective-epidemiological studies are warranted to elucidate the roles of TNF-α -308 G>A SNP in the etiology of CRC and to endorse the present findings.

In silico CD4+, CD8+ & humoral immunity associated antigenic epitope prediction and HLA distribution analysis of HTLV-I.

PURPOSE: The linkage of human T-cell leukemia virus type 1 (HTLV-1) to fatal diseases is a well known fact for many years. However, there has been no significant progress in the field of the treatment that can lead to the development of a successful vaccine. Furthermore, there are no means of assessing the risk of disease and its prognosis in the infected people. METHODS: The current study has taken the cognizance of the importance of host's immune response in reducing the risk of infectious diseases to carry out immunoinformatics driven epitope screening strategy of vaccine candidates against HTLV-1. In this study, a genetic variability and HLA distribution analysis among the documented HTLV-1 genotypes I, II, III, IV, V & VI was performed to ensure the coverage of the vast majority of population, where vaccine would be employed. The meticulous screening of effective dominant immunogens was done with the help of ABCPred and Immune Epitope Database. RESULTS: The results showed that the identified epitopes might be protective immunogens with high conservancy and potential of inducing both protective neutralizing antibodies and T-cell responses. The peptides "PSQLPPTAPPLLPHSNLDHI", "PCPNLVAYSSYHATY", and "YHATYSLYLF", were 100% conserved among different isolates from far and wide separated countries, suggesting negligible antigenic drift in HTLV-1. CONCLUSIONS: Overall, the mentioned epitopes are soluble, non-toxic suitable candidates for the development of vaccine against HTLV-1 and warrant further investigation and experimental validation.

Impact of p53 arg72pro SNP on Breast Cancer Risk in North Indian Population.

BACKGROUND: Genetic changes in p53 gene contribute to breast cancer susceptibility. OBJECTIVE AND METHODS: A case-control study and a meta-analysis were performed to investigate the role of p53 codon72 SNP with breast cancer susceptibility in Indian women. RESULTS: p53 heterozygous arginine variant was associated with decreased risk of breast cancer in total cohort. In meta-analysis, Allelic and GG vs. CC genetic comparison model were found to be associated with breast cancer risk. Moreover, recessive comparison model indicated a protective correlation with breast cancer occurrence. CONCLUSION: The findings of our case-control study and meta-analysis suggest a significant association between p53 Arg72Pro polymorphism and an increased risk of breast cancer in Indian population.

Response Surface Methodology-Genetic Algorithm Based Medium Optimization, Purification, and Characterization of Cholesterol Oxidase from Streptomyces rimosus.

The applicability of the statistical tools coupled with artificial intelligence techniques was tested to optimize the critical medium components for the production of extracellular cholesterol oxidase (COD; an enzyme of commercial interest) from Streptomyces rimosus MTCC 10792. The initial medium component screening was performed using Placket-Burman design with yeast extract, dextrose, starch and ammonium carbonate as significant factors. Response surface methodology (RSM) was attempted to develop a statistical model with a significant coefficient of determination (R2 = 0.89847), followed by model optimization using Genetic Algorithm (GA). RSM-GA based optimization approach predicted that the combination of yeast extract, dextrose, starch and ammonium carbonate at concentrations 0.99, 0.8, 0.1, and 0.05 g/100 ml respectively, has resulted in 3.6 folds increase in COD production (5.41 U/ml) in comparison with the un-optimized medium (1.5 U/ml). COD was purified 10.34 folds having specific activity of 12.37 U/mg with molecular mass of 54 kDa. The enzyme was stable at pH 7.0 and 40 °C temperature. The apparent Michaelis constant (Km) and Vmax values of COD were 0.043 mM and 2.21 µmol/min/mg, respectively. This is the first communication reporting RSM-GA based medium optimization, purification and characterization of COD by S. rimosus isolated from the forest soil of eastern India.

Meta-analysis reveals no correlation of caveolin-1 G14713A (G>A) gene polymorphism with increased cancer risk in Taiwanese population.

OBJECTIVES: The role of caveolin-1 (CAV1)(G>A, rs3807987) polymorphism is still dubious in cancer causation in Taiwanese population. The present study is an effort to assess the above relation for precise conclusion. METHODS: EMBASE and PubMed (MEDLINE) databases were explored for the pertinent case-control studies reporting the connection of CAV1 G14713A polymorphism to the vulnerability to cancer. A cumulative analysis using meta-analytic approach was accomplished and pooled odds ratios (ORs) and 95% confidence intervals (95% CIs) were estimated for all the polymorphs. RESULTS: Overall, 2549 subjects and 3161 controls were analyzed from six selected studies. Our study showed no confirmation of noteworthy risk between CAV1 G14713A polymorphism and susceptibility to cancer in any of the polymorph, for instance, allele (A vs. G: P = 0.165; OR = 1.252, 95% CI = 0.911-1.721), homozygous (AA vs. GG: P = 0.252; OR = 1.328, 95% CI = 0.817-2.157), heterozygous (AG vs. GG: P = 0.091; OR = 1.356, 95% CI = 0.952-1.930), dominant (AA vs. GG + AG: P = 0.345; OR = 1.191, 95% CI = 0.829-1.709), and recessive (AA + AG vs. GG: P = 0.125; OR = 1.344, 95% CI = 0.921-1.961). CONCLUSIONS: We conclude that CAV1 G14713A polymorphism does not contribute as an independent predisposing risk factor for developing cancer in Taiwanese population.