Metabolic Derangement in Non-Alcoholic Fatty Liver Disease: Opportunities for Early Diagnostic and Prognostic Markers.

Non-alcoholic fatty liver disease is a globally prevalent disorder that can rapidly progress if not detected early. Currently, no accepted markers exist for early diagnosis and prognosis of NAFLD. This review describes derangement in major metabolic pathways of lipid, carbohydrate, and amino acids in NAFLD. It suggests that measuring levels of thrombospondin, TyG index, asymmetric dimethylarginine, LAL-A, GLP-1, FGF-21, and GSG index are potential markers for early diagnosis of NAFLD. A single marker may not indicate early NAFLD, and further large-scale studies on correlating levels of Thrombospondin-2, triglyceride-glucose index, and FGF-21 with NAFLD are warranted.

Energy-Efficient Ingestible Drug Delivery System in the Dynamic Gastrointestinal Environment.

Ingestible electronics are promising platforms for on-demand health monitoring and drug delivery. However, these devices and their actuators must operate in the gastrointestinal (GI) environment, which has a pH range of 1 to 8. Drug delivery systems using electrochemical dissolution of metal films are particularly susceptible to pH changes. Optimal operation in this dynamic environment stands to transform our capacity to help patients across a range of conditions. Here we present an energy-efficient ingestible electronic electrochemical drug delivery system to support subjects through operation in this dynamic environment. The proposed system consists of a drug reservoir sealed with an electrochemically dissolvable gold membrane and an electronic subsystem. An electronic subsystem controls the rate of gold dissolution by sensing and adapting to the pH of the GI environment and provides an option for energy-efficient drug delivery, reducing energy consumption by up to 42.8 %. Integrating the electronics with electrochemical drug delivery enables the proposed system to adapt to the dynamic physiological environments which makes it suitable for drug and/or therapeutic delivery at different locations in the GI tract.

Non-coding RNAs, cancer treatment and cardiotoxicity: A triad of new hope.

The global health landscape has experienced a shift towards non-communicable diseases, with cardiovascular diseases and cancer as leading causes of mortality. Although advancements in healthcare have led to an increase in life expectancy, they have concurrently resulted in a greater burden of chronic health conditions. Unintended consequences of anticancer therapies on various tissues, particularly the cardiovascular system, contribute to elevated morbidity and mortality rates that are not directly attributable to cancer. Consequently, the field of cardio-oncology has emerged to address the prevalence of CVD in cancer survivors and the cardiovascular toxicity associated with cancer therapies. Non-coding RNAs (ncRNAs) have been found to play a crucial role in early diagnosis, prognosis, and therapeutics within the realm of cardio-oncology. This comprehensive review evaluates the risk assessment of cancer survivors concerning the acquisition of adverse cardiovascular consequences, investigates the association of ncRNAs with CVD in patients undergoing cancer treatment, and delves into the role of ncRNAs in the diagnosis, treatment, and prevention of CVD in patients with a history of anti-cancer therapy. A thorough understanding of the pathogenesis of cancer therapy-related cardiovascular disease and the involvement of ncRNAs in cardio-oncology will enable healthcare professionals to provide anticancer treatment with minimized cardiovascular side effects, thereby improving patient outcomes. Ultimately, this comprehensive analysis aims to provide valuable insights into the complex interplay between cancer and cardiovascular diseases, facilitating the development of more effective diagnostic, therapeutic, and preventive strategies in the burgeoning field of cardio-oncology.

Blood-based biomarkers for diagnosis, prognosis, and severity prediction of COVID-19: Opportunities and challenges.

The reasons for high morbidity and mortality with Corona virus disease (COVID-19) disease remain unanswered with extremes of manifestation and uncertainty of modes of transmission for which biomarkers are urgently needed for early prediction of severity and prompt treatment. We have reviewed publications from PubMed (years 2019-2021) analysing the biochemical, immune-inflammatory, nucleic acid, and cellular biomarkers that predict infection, disease progression in COVID-19 with emphasis on organ-specific damage. Our analysis of 65 biomarkers assessing the impact of SCoV-2 infection on five organs (lung, liver, cardiac, kidney, and neural) reported that increased levels of CRP, TNF-α, ferritin, IL-6, D-dimer, Procalcitonin, Fibrinogen to Albumin Ratio (FAR), and decrease platelet count (PC), lymphocyte count, leukocyte count, and CD4+/CD8 + ratio shows promising association in the early diagnosis, prediction of prognosis and severity disease and also correlates with cytokine storm a cardinal feature of COVID-19 progression. In the above scenario, this review has put forth the most promising biomarkers for COVID diagnosis and prognosis based on the reported literature. In recent year's chemically synthesized antibody-like biomolecules, aptamers were also used in the diagnosis of COVID-19 which could be preferably used for diagnosis over antibodies. Biomarkers including increase in free DNA and Fibrinogen-to-Albumin Ratio, CRP, PCT, and Ferritin along with a consequential decrease of CD3+ T, CD4+ T, CD8+ T, NK cells with corresponding increase in CD4+/CD8+ ratio following SARS CoV-2 infection has been consistently correlated with disease severity. Despite the two waves of COVID-19 pandemic, currently there is no standard clinical practice guideline for evaluating the severity of the devastating pandemic of COVID-19, hence these biomarkers will have immense relevance for the third and subsequent wave of COVID-19 and related pandemic.

Current Scenario of Clinical Diagnosis to Identify Inborn Errors of Metabolism with Precision Profiling for Expanded Screening in Infancy in a Resource-limited Setting.

Inborn errors of metabolism (IEM) are a diverse collection of abnormalities that cause a variety of morbidities and mortality in children and are classified as uncommon genetic diseases. Early and accurate detection of the condition can save a patient's life. By aiding families as they navigate the experience of having a child with an IEM, healthcare practitioners have the chance to reduce the burden of negative emotional consequences. New therapeutic techniques, such as enzyme replacement and small chemical therapies, organ transplantation, and cellular and gene-based therapies using whole-genome sequencing, have become available in addition to traditional medical intake and cofactor treatments. In the realm of metabolic medicine and metabolomics, the twentyfirst century is an exciting time to be alive. The availability of metabolomics and genomic analysis has led to the identification of a slew of novel diseases. Due to the rarity of individual illnesses, obtaining high-quality data for these treatments in clinical trials and real-world settings has proven difficult. Guidelines produced using standardized techniques have helped enhance treatment delivery and clinical outcomes over time. This article gives a comprehensive description of IEM and how to diagnose it in patients who have developed clinical signs early or late. The appropriate use of standard laboratory outcomes in the preliminary patient assessment is also emphasized that can aid in the ordering of specific laboratory tests to confirm a suspected diagnosis, in addition, to begin treatment as soon as possible in a resource limiting setting where genomic analysis or newborn screening facility is not available.