Sleeve Gastrectomy and Gastric Bypass Impact in Patient's Metabolic, Gut Microbiome, and Immuno-inflammatory Profiles-A Comparative Study.

Background: Bariatric surgery is the most long-term effective treatment option for severe obesity. The role of gut microbiome (GM) in either the development of obesity or in response to obesity management strategies has been a matter of debate. This study aims to compare the impact of two of the most popular procedures, sleeve gastrectomy (SG) and Roux-en-Y gastric bypass (GB), on metabolic syndrome parameters and gut bacterial microbiome and in systemic immuno-inflammatory response.

Quantum Chemical NMR Spectroscopic Structural Analysis in Solution: The Investigation of 3-Indoleacetic Acid Dimer Formation in Chloroform and DMSO Solution.

We present a DFT-PCM NMR study of 3-indoleacetic acid (3-IAA), used as a working example, including explicit solvent molecules, named PCM-nCHCl, PCM-nDMSO (n = 0, 2, 4, 8, 14, 20, and 25), to investigate the dimer formation in solution. Apart from well-known cyclic (I) and open (II) acetic acid (AA) dimers, two new structures were located on DFT-PCM potential energy surface (PES) for 3-IAA named quasicyclic A (III) and quasicyclic B (IV), the last one having N-H…O hydrogen bond (instead of O-H…O). In addition, four other structures having π-π type interactions named V, VI, VII, and VIII were also obtained completing the sample on the PES.

Repercussions of abuse by caregivers in the elderly population with dementia: a scoping review.

Due to the ageing population throughout the world, the rates of older adults suffering from dementia are increasing, requiring a closer look at this population. As a result, the aim of this scoping review is to gather data from the scientific literature on the repercussions of abuse of elderly people with dementia by their caregivers. For this review, Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping reviews was used as a guideline to structure the review topics.

Comparison of cardiovascular risk prediction models developed using machine learning based on data from a Sri Lankan cohort with World Health Organization risk charts for predicting cardiovascular risk among Sri Lankans: a cohort study.

Introduction: Models derived from non-Sri Lankan cohorts are used for cardiovascular (CV) risk stratification of Sri Lankans.

Objective: To develop a CV risk prediction model using machine learning (ML) based on data from a Sri Lankan cohort followed up for 10 years, and to compare the predictions with WHO risk charts.

Design: Cohort study.

KRT20-/SATB2+/MCPyV+ Sinonasal Merkel Cell Carcinoma: A Detailed Immunohistochemical and In Situ Hybridization Study.

Merkel cell carcinoma (MCC) is an uncommon aggressive neoplasm, usually arising in sun-exposed skin of the head and neck. By immunohistochemistry, KRT20 and MCPyV positivity are found in about 90% and 80% of MCCs, respectively. Noteworthy, viral status in lip/oral cavity MCCs is poorly known.