Circulating miRNA as potential biomarkers for diabetes mellitus type 2: should we focus on searching for sex differences?

microRNAs are non-coding molecules, approximately 22 nucleotides in length, that regulate various cellular processes. A growing body of evidence has suggested that their dysregulated expression is involved in the pathogenesis of diverse diseases, including diabetes mellitus type 2 (DM2). Early onset of this chronic and complex metabolic disorder is frequently undiagnosed, leading to the development of severe diabetic complications. Notably, DM2 prevalence is rising globally and an increasing number of articles demonstrate that DM2 susceptibility, development, and progression differ between males and females. Therefore, this paper discusses the role of microRNAs as a source of novel diagnostic biomarkers for DM2 and aims to underline the importance of sex disparity in biomarkers research. Taking into account an urgent need for the development of sex-specific diagnostic strategies in DM2, recent results have shown that circulating miRNAs are promising candidates for sex-biased biomarkers.

Takotsubo Syndrome: A Review of Presentation, Diagnosis and Management

Takotsubo Syndrome (TTS) is a condition of transient left ventricular dysfunction that is typically triggered by emotional or physical stress. Since first described in Japan in 1990, it has increasingly been recognised in clinical practice, accounting for up to 2% of Acute Coronary Syndrome (ACS) presentations. In fact, the clinical presentation can be indistinguishable from a myocardial infarction. Although current evidence suggests a catecholamine induced myocardial stunning, the pathophysiological mechanisms remain unknown. Interestingly, it is more common in woman, particularly those who are post-menopausal. This review aims to summarise the current research and provide an overview of the diagnostic strategies and treatment options.

Current strategies in diagnostics and therapeutics against novel coronavirus disease (COVID-19)

The epidemic of COVID-19 spread quickly through China and engulfed all of the countries across the globe. Several advances have been made in understanding the novel coronavirus’s pathophysiology and in the development of newer diagnostics with pinpoint accuracy. Several newer therapeutic methods have either been accepted or are awaiting acceptance. In many countries, vaccination programs have been rolled out. Despite all these efforts, coronavirus still exists, though with lesser propensity. Multiple new forms of the novel coronavirus unexpectedly appeared in various areas of the world, undermining previously existing diagnosis and care protocols. This article highlights our understanding of the novel coronavirus’s symptoms in brief, pathogenesis, diagnostics, and therapeutic strategies to contain COVID-19. The clinical findings, including serological, radiological, and other advanced diagnostic strategies, contributed much to control the disease. To date, supportive interventions have been used in tandem with potent antiviral therapies such as remdesivir, lopinavir/ritonavir, or corticosteroids with a level of trust in the care of COVID-19 patients. However, in several areas of the world, vaccination initiatives took place; the vaccines’ safety and efficacy to control the outbreak is yet to be identified. This review concludes that improvement in therapies and diagnostics for COVID-19 must continually be explored as new variants constantly emerge.

Testing Antigens, Antibodies, and Immune Cells in COVID-19 as a Public Health Topic—Experience and Outlines

The current COVID-19 pandemic has triggered an accelerated pace in all research domains, including reliable diagnostics methodology. Molecular diagnostics of the virus and its presence in biological samples relies on the RT-PCR method, the most used and validated worldwide. Nonconventional tests with improved parameters that are in the development stages will be presented, such as droplet digital PCR or CRISPR-based assays. These molecular tests were followed by rapid antigen testing along with the development of antibody tests, whether based on ELISA platform or on a chemiluminescent microparticle immunoassay. Less-conventional methods of testing antibodies (e.g., lateral flow immunoassay) are presented as well. Left somewhere in the backstage of COVID-19 research, immune cells and, furthermore, immune memory cells, are gaining the spotlight, more so in the vaccination context. Recently, methodologies using flow-cytometry evaluate circulating immune cells in infected/recovered patients. The appearance of new virus variants has triggered a surge for tests improvement. As the pandemic has entered an ongoing or postvaccination era, all methodologies that are used to monitor public health focus on diagnostic strategies and this review points out where gaps should be filled in both clinical and research settings.

Diagnostic Strategies to Identify Patients with Genetic Salt-Losing Tubulopathies

Background: Distinguishing patients with the inherited salt-losing tubulopathies (SLT), Gitelman or Bartter syndrome (GS or BS) from wildtype (WT) patients who purge is difficult. We decided to identify clinical/biochemical characteristics which correctly classify SLT. Methods: 66 patients with possible SLT were recruited to a prospective observational cohort study at the UCL Renal Tubular Clinic (London). 31 datapoints were recorded on each patient. All patients were genotyped for pathogenic mutations in genes which cause SLT; 39 patients had pathogenic variants in genes causing SLT. We obtained similar datasets from cohorts in Taipei and Kobe; the combined dataset comprised 419 patients, 291 had genetically confirmed SLT. London and Taipei datasets were combined to train machine learning (ML) algorithms. These were then tested on the Kobe dataset to determine the best biochemical predictors of genetic confirmation of SLT. Results: Single biochemical variables (e.g. plasma renin) were significantly, but inconsistently different between SLT and WT, in the London and combined cohorts. A decision table algorithm using serum bicarbonate and urinary sodium excretion (FENa) achieved a classification accuracy of 74%. A simpler algorithm based on the FECl achieved a classification accuracy of 61%. This was superior to all of the single biochemical variables identified previously.

Molecular Diagnostic Strategies for the Detection of Toxicological Changes in Animals: A Review

Rapid industrialization and successful green revolution have introduced a wide array of chemicals into our environment; some of these chemicals entered in ecosystem; gets accumulated and exert serious health and ecological problems. These toxic substances can enter the food chain and emphasize pathological changes which damage either cell, organ or system (circulatory, immune, respiratory, digestive, nervous, reproductive and musculo-skeletal etc.) by altering structure and/or function of biological components; DNA, RNA, proteins, lipids and carbohydrates. This review article provides certain molecular diagnostic techniques used for their robust and accurate detection at molecular level. Investigations conducted during 2020-2021 where various review and research articles were surveyed and then extracted to enlist congestive datum for rapid detection of toxicological changes in animals. In our investigations we concluded that toxic substances present in our environment affects health of animals by altering structure and functioning of biomolecules and their concerned system. These cytological and systemic changes can be detected with the help of molecular diagnostic techniques including dideoxysequencing, pyrosequencing, allele specific RT-PCR, CRISPER/Cas, genotyping and microarrays etc. present collection of data will provide congestive information for rapid toxicological detection at molecular level.