Publications by authors named "I Chatterjee"

Diarrhea associated with enteric infections, gut inflammation, and genetic defects poses a major health burden and results in significant morbidity and mortality. Impaired fluid and electrolyte absorption and/or secretion in the intestine are the hallmark of diarrhea. Electroneutral NaCl absorption in the mammalian GI tract involves the coupling of Na/H and Cl/HCO exchangers.

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Apexification is the process of forming mineralized tissue at the apical portion of a tooth with an incompletely formed root. Although various materials and techniques for the endodontic treatment of such teeth have been employed for some time, selecting the appropriate material remains challenging due to limited literature. This report presents a case that evaluates the efficacy of a modified apexification procedure using mineral trioxide aggregate (MTA), followed by a walking-bleach technique to address discoloration resulting from trauma to anterior teeth.

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Background: Biomarkers like sarcopenia, eosinopenia and C-reactive protein (CRP) may predict major adverse events including intubation, ICU admission, mortality and readmission in chronic obstructive pulmonary disease (COPD) exacerbations. We aimed to determine their prognostic utility and accuracy.

Methods: This was a prospective analysis of COPD patients hospitalised for acute exacerbation over one year.

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Visible light-induced radical umpolung chemistry is utilized to synthesize trifluoromethylated unnatural α-amino acid and amine derivatives. This approach utilizes photoredox catalysis to perform a single-electron-transfer reduction of imines generating a N-centred radical that eventually migrates to the C-centre followed by a radical-radical cross-coupling to deliver reductive trifluoromethylation products.

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Background: Schizophrenia is a complex and disabling mental disorder that represents one of the most important challenges for neuroimaging research. There were many attempts to understand these basic mechanisms behind the disorder, yet we know very little. By employing machine learning techniques with age-matched samples from the auditory oddball task using multi-site functional magnetic resonance imaging (fMRI) data, this study aims to address these challenges.

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