Serum Uric Acid/Serum Creatinine Ratio and Chronic Vascular Lesions on Renal Biopsy: A Retrospective Observational Study.

Introduction: Increased serum uric acid (SUA) levels are found in cardiovascular and kidney diseases, associated with the development of vascular injury. Uric acid stimulates the inflammatory pathways, promotes vascular smooth muscle cells proliferation, activates renin-angiotensin system leading to the development and progression of vascular damage. Renal function-normalized uric acid [SUA to serum creatinine ratio (SUA/SCr)] has been suggested to be a better indicator of uric acid.

A new paradigm for optimized experimental design in cIEF platforms aimed at an accurate robust and reliable mAbs charge-variant assessment.

The success of therapeutic monoclonal antibodies (mAbs) and their biosimilars, highlights the challenge to control their purity, identity, and stability. For this purpose, among several orthogonal methodologies, imaged capillary Iso Electric Focusing (icIEF) is one of the leading techniques. Despite the isoelectric point (pI) being a univocal parameter relying on the protein's primary sequence and its post-translational modifications (PTMs), the current Charge Variants Profile Assessment (CVPA) carried out by cIEF relies on relative comparisons with corresponding reference standards, this is because the inconsistent outputs for the same sample across different instruments preclude the uniqueness of the measured parameters.

AI drives the assessment of lung cancer microenvironment composition.

Purpose: The abundance and distribution of tumor-infiltrating lymphocytes (TILs) as well as that of other components of the tumor microenvironment is of particular importance for predicting response to immunotherapy in lung cancer (LC). We describe here a pilot study employing artificial intelligence (AI) in the assessment of TILs and other cell populations, intending to reduce the inter- or intra-observer variability that commonly characterizes this evaluation.

Design: We developed a machine learning-based classifier to detect tumor, immune, and stromal cells on hematoxylin and eosin-stained sections, using the open-source framework .

Acute lymphocytic myocarditis characterized by cardiogenic shock and conduction system abnormalities in patients with Hashimoto's thyroiditis: a case report and review of literature.

Background: Acute myocarditis (AM) is an inflammatory heart disease that may occur as a consequence of autoimmune disorders. Although the correlation between myocarditis and hyperthyroidism has been reported in the literature, the association with hypothyroidism is less frequent.

Case Summary: We describe a characteristic case of lymphocytic acute myocarditis deteriorated into cardiogenic shock due to Hashimoto's thyroiditis treated with vasopressor and inotropic drugs in combination with corticosteroid.