Publications by authors named "K N Rai"

CLL B cells express elevated pro-survival BCL2, and its selective inhibitor, venetoclax, significantly reduces leukemic cell load, leading to clinical remission. Nonetheless, relapses occur. This study evaluates the hypothesis that progressively diminished BCL2 protein in cycling CLL cells within patient lymph node niches contributes to relapse.

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Native amine dehydrogenases (AmDHs) are rare and typically have narrow substrate specificity and low processivity. Therefore, they are often modified using protein engineering for industrial and pharmaceutical applications. This study presents identification and characterization of a novel native amine dehydrogenase (AmDH) encoding WD40 protein (All1750) from Anabaena PCC 7120.

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We propose a model for multiple waves of an epidemic that decomposes the health outcome of interest into the sum of scaled skew normal curves. When applied to daily COVID-19 mortality in six regions (Japan, Italy, Belgium, Ontario, Texas, and Peru), this model provides three notable results. First, when fit to data from early 2020 to May 31, 2022, the estimated skew normal curves substantially overlap with the dates of COVID-19 waves in Ontario and Belgium, as determined by their respective health authorities.

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Malignant peripheral nerve sheath tumor (MPNST) development is characterized by an altered DNA methylation landscape, which presents a promising area for developing MPNST-specific biomarkers for screening patients with NF1. Genome-wide DNA methylation profiling of a cohort of 13 patients with MPNST (29 samples of tumor and adjacent neurofibroma tissues) and of NF1-MPNST cell lines was performed to identify and validate candidate MPNST-specific CpG sites (CpGs). A logistic regression prediction model was constructed to select MPNST-specific CpGs distinct from adjacent neurofibromas and normal tissues.

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Diuresis for hospitalized patients with acute decompensated heart failure is a routine clinical practice but one that remains reliant on error-prone and resource-intensive intake and output and weight measurements and is subject to wide provider variation. We sought to use quality improvement approaches to implement a data-driven predictive diuresis protocol based on natriuresis using the electronic health record to titrate dosing. Our initiative did not result in significant reductions in length of stay but did demonstrate a significant increase in the use of urine studies to guide diuresis and signals toward more aggressive diuretic dosing without an increase in adverse outcomes.

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