Search

Due to the availability of a huge amount of epidemiological and public health data that require analysis and interpretation by using appropriate mathematical tools to support the existing method to control the mosquito and mosquito-borne diseases in a more effective way, data-mining tools are used to make sense from the chaos. Using data-mining tools, one can develop predictive models, patterns, association rules, and clusters of diseases, which can help the decision-makers in controlling the diseases. This paper mainly focuses on the applications of data-mining tools that have been used for the first time to prioritize the malaria endemic regions in Manipur state by using Self Organizing Maps (SOM). The SOM results (in two-dimensional images called Kohonen maps) clearly show the visual classification of malaria endemic zones into high, medium and low in the different districts of Manipur, and will be discussed in the paper. [ABSTRACT FROM AUTHOR]

Lakadong turmeric has been outlined for its high content of curcuminoids across the globe. Three significant molecular markers are widely present in turmeric viz, curcumin, desmethoxycurcumin, and bisdemethoxycurcumin, and they are present very high amount in Lakadong turmeric. Curcuminoids have been reported for structural and spectrum similarity of 3 to 4 nm (432, 434, and 436 nm, respectively). Current purification methods are based on recrystallisation where it is difficult to get highly pure material and preparative methods associated with tedious separation with high cost. Lakadong turmeric has not been explored commercially since long time. No reports are available in the literature with highly pure reference materials with in-depth characterization data and purity assessment. Curcumin, desmethoxycurcumin, and bisdemethoxycurcumin were characterized using different analytical techniques viz, UV-Visible Spectroscopy, Fourier Transform Infrared Spectroscopy (FT-IR), Differential Scanning Calorimetry (DSC), Thermogravimetric Analysis (TGA), Proton Nuclear Magnetic Resonance ( 1 HNMR), Carbon-13 Nuclear Magnetic Resonance ( 13 CNMR), High-Resolution Mass Spectrometry (HR-MS) and Inductive Coupled Plasma Mass Spectrometry (ICP-MS). Purified 3 markers has shown High-Performance Liquid Chromatography-Diode Array Detector (HPLC-DAD) purity more than 99.5%. DSC the melting peaks of curcumin, desmethoxycurcumin and bisdemethoxycurcumin were observed at 168 °C, 165 °C, and 210 °C, respectively. These plant-based markers have high commercial potential as reference material for routine Quality Assurance and Quality Control (QAQC) in herbal industries., Competing Interests: Declaration of Competing Interest Authors declare no conflict of interest. The authors have filed an Indian patent application for this research work., (Copyright © 2023 Elsevier B.V. All rights reserved.)

Objective: The aim of our study was to identify the association of FIGLA (factor in the germ line α) gene variants with premature ovarian failure (POF) in the Indian population., Methods: Two hundred nineteen women with idiopathic POF and 230 healthy controls were recruited for this study. All exons, intron-exon boundaries, and untranslated regions of the FIGLA gene were analyzed by polymerase chain reaction and sequencing. All FIGLA variants were analyzed in silico, using PolyPhen, SIFT, MutationTaster, PMUT, I-Mutant, Mupro, Align-GVGD, PROVEAN, and HOPE software, to predict pathogenicity and changes in protein stability., Results: Seven different FIGLA variants were detected among women with POF. Two exon 3 variants, c.427G → C and c.557C → T, showed strong association between cases and controls (P = 0.02 and P = 0.02, respectively). Significant differences in both of these variants were observed between cases and controls in genotype and dominant models. No significant difference between controls and women with POF was found on haplotype analysis. A nonsynonymous variant, p.(Arg83Cys), was found only in POF cases. Variant p.(Arg83Cys) lies in the functional domain of the FIGLA gene (basic helix-loop-helix), and protein alignments reveal that it is highly conserved among mammals. In silico analysis suggests the functional involvement of p.(Arg83Cys) and p.(Ser141Thr) variants in POF pathogenesis., Conclusions: We have established a strong association between FIGLA gene variants and POF in Indian women, which may be a potential genetic risk factor in the development of idiopathic POF. However, further independent genetic and functional studies are necessary to confirm our findings.

Background: Malaria presents public health challenge despite extensive intervention campaigns. A 30-year hindcast of the climatic suitability for malaria transmission in India is presented, using meteorological variables from a state of the art seasonal forecast model to drive a process-based, dynamic disease model., Methods: The spatial distribution and seasonal cycles of temperature and precipitation from the forecast model are compared to three observationally-based meteorological datasets. These time series are then used to drive the disease model, producing a simulated forecast of malaria and three synthetic malaria time series that are qualitatively compared to contemporary and pre-intervention malaria estimates. The area under the Relative Operator Characteristic (ROC) curve is calculated as a quantitative metric of forecast skill, comparing the forecast to the meteorologically-driven synthetic malaria time series., Results and Discussion: The forecast shows probabilistic skill in predicting the spatial distribution of Plasmodium falciparum incidence when compared to the simulated meteorologically-driven malaria time series, particularly where modelled incidence shows high seasonal and interannual variability such as in Orissa, West Bengal, and Jharkhand (North-east India), and Gujarat, Rajastan, Madhya Pradesh and Maharashtra (North-west India). Focusing on these two regions, the malaria forecast is able to distinguish between years of "high", "above average" and "low" malaria incidence in the peak malaria transmission seasons, with more than 70% sensitivity and a statistically significant area under the ROC curve. These results are encouraging given that the three month forecast lead time used is well in excess of the target for early warning systems adopted by the World Health Organization. This approach could form the basis of an operational system to identify the probability of regional malaria epidemics, allowing advanced and targeted allocation of resources for combatting malaria in India.