Publications by authors named "Srijit Bhattacharya"

Article Synopsis
  • Recent increases in food allergies highlight the need for accurate diagnostics, prompting the development and revalidation of predictive models to assess oral food challenge (OFC) outcomes in children, focusing on egg and milk allergies.
  • The Klemans model, which uses fewer predictors than the original DunnGalvin model, demonstrated improved accuracy, calibration, and discrimination for predicting allergy outcomes in the study population aged 0-19 years in India.
  • The study concludes that validated mathematical models can serve as effective non-invasive alternatives to OFC in diagnosing allergies among the Indian population.
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Little is known about genetic factors and mechanisms underlying shrimp allergy. Genome-wide association studies identified HLA class-II and IL13 genes as highly plausible candidates for shrimp allergy. The present study was designed to investigate potential associations of HLA-DQ rs9275596, IL13 rs20541, and IL13 rs1800925 polymorphisms with challenge-proven shrimp allergy using the data from 532 people of West Bengal, India; selected on basis of positive skin prick test, elevated specific IgE and medical history.

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Article Synopsis
  • The study aims to create a predictive model for diagnosing house dust mite (HDM) allergy symptoms using data from 537 patients in West Bengal, focusing on factors like clinical variables and demographics.
  • A logistic regression model showed high accuracy, with a correlation coefficient of 0.97, and demonstrated its effectiveness in diagnosing lower-risk cases better than traditional skin prick tests (SPTs).
  • The research concludes that this model may provide a more accurate alternative for diagnosing HDM allergies, potentially improving treatment efficiency through better-targeted immunotherapy.
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Introduction: Genetic polymorphisms associated with IgE-mediated food sensitization have been a robust area of research for decades. A genome-wide search for susceptible loci regulating the IgE response (atopy) identified the candidate gene STAT6, which is important in the context of food allergic manifestations.

Objective: The present study was designed to investigate the sensitization of West Bengal population against some common allergenic food items and to study the role of the STAT6 gene polymorphism in elevating food-specific IgE levels among sensitized individuals.

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Introduction: Darjeeling tea of India is one of the most famous beverages globally. However, a large amount of tea crop is damaged every year by the attack of mites.

Objectives: The study aimed to determine the changes in different pigments and biochemical components of tea leaves due to mite infestation.

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West Bengal, India, is inhabited by abundance and variety of insects that triggers sensitization in some humans to inhalant allergens and/or insect stings/venoms. Lack of research on this topic prevented accurate diagnosis and proper follow-up treatments to patients suffering from insect-induced allergies. The aim of our study was to identify the allergy-causing insects and evaluate resulting sensitization among a study population in West Bengal, India.

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We present, for the first time, simultaneous determination of shear viscosity (η) and entropy density (s) and thus, η/s for equilibrated nuclear systems from A∼30 to A∼208 at different temperatures. At finite temperature, η is estimated by utilizing the γ decay of the isovector giant dipole resonance populated via fusion evaporation reaction, while s is evaluated from the nuclear level density parameter (a) and nuclear temperature (T), determined precisely by the simultaneous measurements of the evaporated neutron energy spectra and the compound nuclear angular momenta. The transport parameter η and the thermodynamic parameter s both increase with temperature, resulting in a mild decrease of η/s with temperature.

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