Prediction of viral spillover risk based on the mass action principle.

Infectious zoonotic disease emergence, through spillover events, is of global concern and has the potential to cause significant harm to society, as recently demonstrated by COVID-19. More than 70% of the 400 infectious diseases that emerged in the past five decades have a zoonotic origin, including all recent pandemics. There have been several approaches used to predict the risk of spillover through some of the known or suspected infectious disease emergence drivers, largely using correlative approaches. Here, we predict the spatial distribution of spillover risk by approximating general transmission through animal and human interactions. These mass action interactions are approximated through the multiplication of the spatial distribution of zoonotic virus diversity and human population density. Although our results indicate higher risk in regions along the equator and in Southeast Asia where both virus diversity and human population density are high, it should be noted that this is primarily a conceptual exercise. We compared our spillover risk map to key factors, including the model inputs of zoonotic virus diversity estimate map, human population density map, and the spatial distribution of species richness. Despite the limitations of this approach, this viral spillover map is a step towards developing a more comprehensive spillover risk prediction system to inform global monitoring.

Japanese Encephalitis Enzootic and Epidemic Risks across Australia.

Japanese encephalitis virus (JEV) is an arboviral, encephalitogenic, zoonotic flavivirus characterized by its complex epidemiology whose transmission cycle involves reservoir and amplifying hosts, competent vector species and optimal environmental conditions. Although typically endemic in Asia and parts of the Pacific Islands, unprecedented outbreaks in both humans and domestic pigs in southeastern Australia emphasize the virus' expanding geographical range. To estimate areas at highest risk of JEV transmission in Australia, ecological niche models of vectors and waterbirds, a sample of piggery coordinates and feral pig population density models were combined using mathematical and geospatial mapping techniques. These results highlight that both coastal and inland regions across the continent are estimated to have varying risks of enzootic and/or epidemic JEV transmission. We recommend increased surveillance of waterbirds, feral pigs and mosquito populations in areas where domestic pigs and human populations are present.

Estimating the Distribution of Japanese Encephalitis Vectors in Australia Using Ecological Niche Modelling.

Recent Japanese encephalitis virus (JEV) outbreaks in southeastern Australia have sparked interest into epidemiological factors surrounding the virus' novel emergence in this region. Here, the geographic distribution of mosquito species known to be competent JEV vectors in the country was estimated by combining known mosquito occurrences and ecological drivers of distribution to reveal insights into communities at highest risk of infectious disease transmission. Species distribution models predicted that Culex annulirostris and Culex sitiens presence was mostly likely along Australia's eastern and northern coastline, while Culex quinquefasciatus presence was estimated to be most likely near inland regions of southern Australia as well as coastal regions of Western Australia. While Culex annulirostris is considered the dominant JEV vector in Australia, our ecological niche models emphasise the need for further entomological surveillance and JEV research within Australia.

The miR-146a SNP Rs2910164 and miR-155 SNP rs767649 Are Risk Factors for Non-Small Cell Lung Cancer in the Iranian Population.

Background: Lung cancer is one of the leading causes of death worldwide. MicroRNAs (miRNAs) are small noncoding RNAs that regulate gene expression and may act as both tumor suppressors and as oncogenes. The presence of single nucleotide polymorphisms (SNPs) inside the miRNA genomic region could affect target miRNA maturation, expression, and binding to its target mRNA and contribute to cancer development. Previous studies on the SNPs Rs2910164 in miR-146a and Rs767649 in miR-155 showed association with non-small cell lung cancer (NSCLC) development. Thus, the aim of this study was to detect any correlation between those SNPs in Iranian NSCLC patients. Methods: In a small cohort study, 165 NSCLC patients and 147 noncancer controls were enrolled between Apr 2015 and Sep 2019 at the Masih Daneshvari Hospital, Tehran, Iran. Allele frequencies from the genomic DNA of blood cells were studied using PCR-RFLP and their association with the risk of lung cancer was evaluated. Results: The rs2910164C allele (OR = 1.56, 95% CI = 1.10-2.21, p = 0.012) and CC genotype (OR = 2.93, 95% CI = 1.07-7.9, p = 0.034, respectively) were associated with a significantly increased risk for lung cancer compared to that for the GG genotype. When patients were stratified according to smoking exposure, no association with rs2910164 variants was found. The AT genotype (OR = 0.57, 95% CI = 0.33-0.99, p = 0.048) and the A allele frequency (OR = 0.58, 95% CI = 0.35-0.98, p = 0.043) in rs767649 were lower in NSCLC patients in comparison with the control group. In addition, the rs767649 AT genotype frequency in smoking controls was higher than in smoking NSCLC patients (OR = 0.44, 95% CI = 0.21-0.90, p = 0.024). No association was found between rs2910164 and rs767649 variants and stage or type of NSCLC. Conclusion: Our finding suggests that miR-146a rs2910164 and miR-155 rs767649 polymorphisms may be considered as genetic risk factors for the susceptibility to NSCLC in the Iranian population. However, a larger multicenter study across Iran is needed to confirm these findings.

A novel Cu(II) distorted cubane complex containing Cu4O4 core as the first tetranuclear catalyst for temperature dependent oxidation of 3,5-di-tert-butyl catechol and in interaction with DNA & protein (BSA).

The tri-dentate Schiff base ligand 3-(2-hydroxyethylimino)-1-phenylbut-1-en-1-ol (L) produced the tetra-nuclear Cu(II) distorted cubane complex which contain Cu4O4 core, upon reaction with Cu(II)acetate.H2O. The complex was structurally characterized by X-ray crystallography and found that, in this tetrameric and tetra-nuclear distorted cubane structure, each two-fold deprotonated Schiff base ligand coordinated to a Cu(II) center with their alcoholic oxygens and imine nitrogens and formed six and five-membered chelate rings. At the same time, each ligand bridged to a neighboring Cu(II) atom by its alcoholic oxygen, thus the metal centers became penta-coordinated. The copper(II) complex with µ-ɳ2-hydroxo bridges and Cu….Cu distance about 3 Šwas structurally similar to the active site of natural catechol oxidase enzyme and exhibited excellent catecholase activity in aerobic oxidation of 3,5-di-tert-butyl catechol to its o-quinone. The kinetics and mechanism of the oxidation of 3, 5-DTBCH2 catalyzed by [CuL]4 complex, were studied at four different temperatures from 283 to 313K by UV-Vis spectroscopy. Interaction of [CuL]4 complex with FS-DNA was investigated by UV-Vis and fluorescence spectroscopy, viscosity measurements, cyclic voltammetry (CV), circular dichroism (CD) and agarose gel electrophoresis. The main mode of binding of the complexes with DNA was intercalation. The interaction between [CuL]4 complex and bovine serum albumin (BSA) was studied by UV-Vis, fluorescence and synchronous fluorescence spectroscopic techniques. The results indicated a high binding affinity of the complex to BSA. In vitro anticancer activity of the complex was evaluated against A549, Jurkat and Ragi cell lines by MTT assay. The complex was remarkably active against the cell lines and can be a good candidate for an anticancer drug. Theoretical docking studies were performed to further investigate the DNA and BSA binding interactions.

SPRINT-Gly: predicting N- and O-linked glycosylation sites of human and mouse proteins by using sequence and predicted structural properties.

MOTIVATION: Protein glycosylation is one of the most abundant post-translational modifications that plays an important role in immune responses, intercellular signaling, inflammation and host-pathogen interactions. However, due to the poor ionization efficiency and microheterogeneity of glycopeptides identifying glycosylation sites is a challenging task, and there is a demand for computational methods. Here, we constructed the largest dataset of human and mouse glycosylation sites to train deep learning neural networks and support vector machine classifiers to predict N-/O-linked glycosylation sites, respectively. RESULTS: The method, called SPRINT-Gly, achieved consistent results between ten-fold cross validation and independent test for predicting human and mouse glycosylation sites. For N-glycosylation, a mouse-trained model performs equally well in human glycoproteins and vice versa, however, due to significant differences in O-linked sites separate models were generated. Overall, SPRINT-Gly is 18% and 50% higher in Matthews correlation coefficient than the next best method compared in N-linked and O-linked sites, respectively. This improved performance is due to the inclusion of novel structure and sequence-based features. AVAILABILITY AND IMPLEMENTATION: http://sparks-lab.org/server/SPRINT-Gly/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Association of interleukin-6 (rs1800796) but not transforming growth factor beta 1 (rs1800469) with serum calcium levels in osteoporotic patients.

BACKGROUND: Osteoporosis is a multifactorial disease with a strong genetic influence. Recent studies have demonstrated that cytokines, such as TGF-ß1 and interleukin 6 (IL-6) play complex roles in the normal bone metabolism and pathophysiology of osteoporosis. Here, we investigated the roles of 2 polymorphisms mapping to the promoters of TGF-ß1and IL-6 genes on the genetic susceptibility to osteoporosis as well as calcium and vitamin D levels. METHODS: A cohort of 297 elderly participants in northern Iran comprising 181 osteoporotic patients (mean age ±â€¯SD, 68.36 ±â€¯7.21 years) and 116 unrelated healthy controls (mean age ±â€¯SD, 64 ±â€¯5.44 years) was studied for TGF-ß1(C-509T) and IL-6 (G-634C) polymorphisms using PCR-RFLP method. RESULTS: A significant relationship was observed between calcium level and IL-6 genotypes in osteoporotic males (P = 0.011) and females (P = 0.020). No significant differences were observed between osteoporotic and control groups with respect to allele frequency or genotype distribution based on the 2 selected polymorphisms under different genetic models. The results remained the same after comparing the BMD values of either the femur neck or lumbar spine with the genotypes of the elderly men and women when analyzed separately. CONCLUSION: IL-6 genotype influences serum calcium levels in osteoporotic patients. The lack of association between the common genetic variations of TGF-ß1 and IL-6 genes, and BMD highlights the complex genetic background of osteoporosis in the north of Iran.

Analysis of Two CDKN2B-AS Polymorphisms in Relation to Coronary Artery Disease Patients in North of Iran.

Coronary artery disease (CAD) including myocardial infarction (MI) as its complication, is one of the most common heart diseases worldwide and also in Iran, with extremely elevated mortality. CAD is a multifactorial disorder. Twin and family studies at different loci have demonstrated that genetic factors have an important role in the progression of CAD. Many studies have reported a significant association of CDKN2B-AS, also known as ANRIL which is located within the p15, p16, p14 gene cluster at 9p21 locus, with cardiovascular diseases as well as many other diseases like diabetes and cancers. This study investigated two polymorphisms rs10757274 and rs1333042 of CDKN2B-AS gene at 9p21 locus. 205 subjects, comprising 102 controls and 103 CAD patients were genotyped by TaqMan probe real time PCR technique and haplotypes were examined. This study confirmed the association of rs10757274 variants with CAD in Iranian patients (P= 0.003) but genotype and allele distributions of CAD and control groups showed no significant association for the rs1333042. However, frequency of the [G;G] haplotype of these two SNPs was significantly higher in CAD group (P= 0.0002, Odds Ratio = 3.1, 95% CI = 1.7-5.7). Our finding suggests that [G; G] haplotype of rs10757274 and rs1333042 may be considered as a genetic risk factor for susceptibility to CAD in Iranian patients.

Osteoporosis: A Silent Disease with Complex Genetic Contribution.

Osteoporosis is the most common multifactorial metabolic bone disorder worldwide with a strong genetic component. In this review, the evidence for a genetic contribution to osteoporosis and related phenotypes is summarized alongside with methods used to identify osteoporosis susceptibility genes. The key biological pathways involved in the skeleton and bone development are discussed with a particular focus on master genes clustered in these pathways and their mode of action. Furthermore, the most studied single nucleotide polymorphisms (SNPs) analyzed for their importance as genetic markers of the disease are presented. New data generated by next-generation sequencing in conjunction with extensive meta-analyses should contribute to a better understanding of the genetic basis of osteoporosis and related phenotype variability. These data could be ultimately used for identifying at-risk patients for disease prevention by both controlling environmental factors and providing possible therapeutic targets.

Analysis of rs6725887 in the WD Repeat Protein 12 in Association with Coronary Artery Disease in Iranian Patients.

Although genetic variants that affect susceptibility to coronary artery disease (CAD) have been greatly known, a number of these single nucleotide polymorphisms (SNPs) remain to be analyzed in populations with different ethnicities. CAD is influenced by numerous genetic, environmental, and lifestyle factors, and is an important reason for mortality around the globe. In this study, a novel SNP (rs6725887) in the WD Repeat Protein 12 (WDR12) gene was selected to be examined in Iranian patients with CAD. Ninety eigth healthy controls and one hundred and one CAD patients were enrolled from Iranian population, and their clinical data were collected for further comparisons. After DNA extraction from each sample, genotypes were characterized by Taq Man probe real- time PCR assay. Statistical analyses were performed to evaluate genotype and allele frequencies and compared the values with clinical variables. Body mass index, blood pressure, fasting blood sugar, LDL, HDL, cholesterol, and triglyceride significantly differed in CAD and control groups. Genotype and allele frequencies of rs6725887 in CAD patients and controls showed no significant association in the distribution. However, clinical parameters of CAD patients like HDL, LDL, FBS, TG, DBP and SBP had significantly (P<0.05) higher levels compared to control group. The rs6725887 polymorphism is unlikely to play a key role in CAD risk in our population. Further additional samples are required for better appreciation of the influence of WDR12 SNP on CAD occurrence.