Publications by authors named "K A Muthukumar"

Cardiovascular diseases (CVD) are a predominant health concern globally, emphasizing the need for advanced diagnostic techniques. In our research, we present an avant-garde methodology that synergistically integrates ECG readings and retinal fundus images to facilitate the early disease tagging as well as triaging of the CVDs in the order of disease priority. Recognizing the intricate vascular network of the retina as a reflection of the cardiovascular system, alongwith the dynamic cardiac insights from ECG, we sought to provide a holistic diagnostic perspective.

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Intrinsically disordered proteins (IDPs) can form biomolecular condensates through phase separation. It is recognized that the conformation of IDPs in the dense and dilute phases, as well as at the interfaces of condensates, can critically impact their functionality. However, a residue-level understanding of the conformational transitions of IDPs during condensation remains elusive.

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Objective: Recurrent pregnancy loss (RPL) has a multifactorial etiology, with a majority of cases remaining unexplained. To account for these unexplained cases, possible male factors are being explored. Conventional semen analysis lacks a qualitative assessment of sperms and information regarding sperm DNA integrity.

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Introduction: The gut microbiome's influence on weight management has gained significant interest for its potential to support better obesity therapeutics. Patient stratification leading to personalized nutritional intervention has shown benefits over one-size-fit-all diets. However, the efficacy and impact on the gut's microbiome of personalizing weight loss diets based on individual factors remains under-investigated.

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Article Synopsis
  • Parkinson's disease (PD) is a common incurable movement disorder, and the DJ-1 molecule associated with familial PD might show altered levels in cerebrospinal fluid (CSF) as the disease progresses.
  • Recent research explores creating molecularly imprinted polymers (MIPs) to selectively detect the DJ-1 biomarker using various functional monomers for accurate recognition.
  • Computational methods, including molecular docking and simulations, indicate that polythiophene derivative PEDOT has the best interactions with DJ-1, making it a strong candidate for developing selective DJ-1 sensors.*
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