Publications by authors named "Balasubramanian Chellammal Muthubharathi"

The search for drugs that extend lifespan in human-like biological models is a frontier area in biomedical research. In this study, we report a novel electrochemical approach using flufenamic acid (FFA), a widely known nonsteroidal anti-inflammatory drug (NSAID), to generate and detect its pharmacologically active metabolites. Electrochemical oxidation of FFA on multi-walled carbon nanotubes(MWCNT)-modified electrode yielded hydroxylated derivatives, primarily 4-hydroxy FFA (m/z 297.

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Epi oblique illumination selective plane microscopy (EOPM) facilitates open-top, straightforward sample mounting, enabling high-resolution and high-speed imaging without perturbing biological specimens. However, current EOPM systems typically require three separate microscopes equipped with specialized objectives. This configuration leads to complex and costly setups, significant long-term drift during imaging, reduced numerical aperture, and limited flexibility in adjusting the illumination tilt angle.

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The nervous system's ability to perceive and learn about the environment can help organisms evolve and acquire traits, potentially generating adaptive responses. However, its potential to produce heritable modulations is a scientific lacuna, which is under-explored. Here, with the help of , which has a well-established neuronal networking, we found that on training the worms on a candidate pathogenic bacterium Serovar Typhi, the worms could exhibit a characteristic transgenerational pathogenic avoidance up to three subsequent generations to the otherwise attractive pathogen.

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Ultraviolet radiation is a non-ionizing radiation produced by longer wavelength energy sources with lower frequency and is categorized into UV-A, UV-B, and UV-C. Minimal exposure to this radiation has several health benefits, which include treating microbial contaminations and skin therapies. However, the antimicrobial action of low-dose UV-A during pathogenic bacterial infections is still unrevealed.

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The interactive network of hosts with pathogenic microbes is still questionable. It has been hypothesized and reported that the host shows altered regulatory mechanisms for different pathogens. Several studies using transcriptomics and proteomics revealed the altered pathways and sequential regulations displayed by the host during bacterial interactions.

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Cronobacter sakazakii, an opportunistic foodborne pathogen prevalently detected in contaminated powdered infant formula, is associated with different diseases, including meningitis. It can cross the blood-brain barrier and affects the CNS. The impact of C.

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Introduction: COVID-19 outbreak displayed presumably an increased accumulation of SARS-CoV-2 virus during comorbid complications and a substantial variation in the mortality within and between the countries, which in turn siren us the lack of knowledge in host-pathogen interactions (HPIs). Our aim is to describe the lessons taught by the COVID-19 pandemic in the existing/missing investigations on HPI.

Methods: This was from a retrospective meta-analysis of literature on "COVID-19 and comorbidity" to expose the existing paradigm gap in HPI by highlighting the omitted concepts/areas of research and new approaches to consider for the development of future therapeutics.

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Metabolomic reprogramming plays a crucial role in the activation of several regulatory mechanisms including neuronal responses of the host. In the present study, alterations at physiological and biochemical levels were initially assessed to monitor the impact of the candidate pathogen on the nematode host . The abnormal behavioral responses were observed in infected worms in terms of hyperosmolarity and high viscous chemicals.

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Bacterial effector molecules are crucial infectious agents that can cause pathogenesis. In the present study, the pathogenesis of toxic Salmonella enterica serovar Typhi (S. Typhi) proteins on the model host Caenorhabditis elegans was investigated by exploring the host's regulatory proteins during infection through the quantitative proteomics approach.

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Metabolomics, an analytical study with high-throughput profiling, helps to understand interactions within a biological system. Small molecules, called metabolites or metabolomes with the size of <1500 Da, depict the status of a biological system in a different manner. Currently, we are in need to globally analyze the metabolome and the pathways involved in healthy, as well as diseased conditions, for possible therapeutic applications.

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