Effect of silymarin on lipid profile and glycemic control in patients with type 2 diabetes mellitus.

This randomized clinical trial was conducted to evaluate the effects of silymarin supplementation on glycemic indices and serum lipid profile in type 2 diabetes mellitus (T2DM) patients. In this open-label randomized clinical trial study, 48 patients with T2DM were eligible to participate for 12 weeks and were divided into two groups randomly: 24 subjects in the intervention (received three 140 mg silymarin capsules daily and diet plan) and 24 in control (received a diet plan). Fasting blood samples and anthropometric data were collected, and glycemic indices and lipid profiles were determined at baseline and at the end of the study. Out of 60 patients included in the clinical trial, 48 people completed the study. In comparing silymarin and control groups before and after the study, a significant reduction was observed in weight and body mass index. However, after adjustment, no significant difference was seen between the two groups. Furthermore, daily consumption of three capsules of 140 mg silymarin for 12 weeks did not show any significant difference on the level of fasting blood sugar (p = 0.789), HbA1c (p = 0.719), and lipid profile. The findings of the present study show that silymarin did not lead to changes in the level of glycemic index and lipid profile in patients with T2DM.

Self-organizing maps for exploration and classification of nuclear magnetic resonance spectra for untargeted metabolomics of breast cancer.

Metabolomics has emerged as a powerful tool for identifying biomarkers of disease, and nuclear magnetic resonance (NMR) spectroscopy allows for the simultaneous detection of a wide range of metabolites. However, due to complex interactions within metabolic networks, metabolites often exhibit high correlation and collinearity. To address this challenge, self-organizing maps (SOMs) of Kohonen maps and counter propagation-artificial neural networks (CP-ANN) were employed in this study to model proton nuclear magnetic resonance spectroscopic (1HNMR) data from control samples and breast cancer (BC) patients. Blood serum samples from a control group (n=24) and BC patients (n=18) were used to extract metabolites using methanol and chloroform solvents in optimum extraction conditions. The 1HNMR data was preprocessed by performing phase, baseline, and shift corrections. Subsequently, the preprocessed data was modeled using Kohonen network as an unsupervised technique and CP-ANN as a supervised technique. In this regard, the model built with CP-ANN successfully distinguished between the two classes with an accuracy of 100 % for both group and sensitivity of 96 % and 100 % for control group and BC patients, respectively. Additionally, CP-ANN algorithm demonstrated predictive capabilities by accurately classifying test samples with 90 % sensitivity, 98 % specificity, and 96 % accuracy for control group and 100 % sensitivity, 90 % specificity, and 96 % accuracy for BC patients. Furthermore, analysis of the resulting topological map revealed 14 significant variables (biomarkers) such as sarcosine, lysine, trehalose, tryptophan, and betaine that effectively differentiated between healthy individuals and BC patients.

Recommendations to Improve Quality of Probiotic Systematic Reviews With Meta-Analyses.

Importance: Systematic reviews and meta-analyses often report conflicting results when assessing evidence for probiotic efficacy, partially because of the lack of understanding of the unique features of probiotic trials. As a consequence, clinical decisions on the use of probiotics have been confusing. Objective: To provide recommendations to improve the quality and consistency of systematic reviews with meta-analyses on probiotics, so evidence-based clinical decisions can be made with more clarity. Evidence Review: For this consensus statement, an updated literature review was conducted (January 1, 2020, to June 30, 2022) to supplement a previously published 2018 literature search to identify areas where probiotic systematic reviews with meta-analyses might be improved. An expert panel of 21 scientists and physicians with experience on writing and reviewing probiotic reviews and meta-analyses was convened and used a modified Delphi method to develop recommendations for future probiotic reviews. Findings: A total of 206 systematic reviews with meta-analysis components on probiotics were screened and representative examples discussed to determine areas for improvement. The expert panel initially identified 36 items that were inconsistently reported or were considered important to consider in probiotic meta-analyses. Of these, a consensus was reached for 9 recommendations to improve the quality of future probiotic meta-analyses. Conclusions and Relevance: In this study, the expert panel reached a consensus on 9 recommendations that should promote improved reporting of probiotic systematic reviews with meta-analyses and, thereby, assist in clinical decisions regarding the use of probiotics.

Current and emerging therapies in nonalcoholic fatty liver disease.

The prevalence of obesity and the metabolic syndrome (MS) is on the rise, and subsequently the hepatic manifestation of MS, nonalcoholic fatty liver disease (NAFLD), has become a common entity in clinical practice. Most patients with NAFLD face medical complications related to their underlying MS in other organ systems; however, a small but significant group of patients with the more aggressive form of fatty liver, nonalcoholic steatohepatitis (NASH), are at risk of developing cirrhosis and hepatocellular carcinoma. As patients are generally asymptomatic, often their disease goes unrecognized. This is particularly true for NASH, where liver biopsy is currently required to make the diagnosis. Once diagnosed, no one treatment has been shown to be universally efficacious and those that are of benefit are not without side effects. Effective treatment regimens directed at both decreasing insulin resistance as well as the processes leading to necroinflammation and hepatic fibrosis have been investigated and include lifestyle modification, surgical therapies, and pharmacotherapy. This review focuses on current and potential future therapies for NASH.

Alcohol biomarker screening in medical and surgical settings.

This article highlights the proceedings of a symposium presented at the 28th Annual Meeting of the Research Society on Alcoholism in Santa Barbara, CA, on June 28, 2005, organized and chaired by Peter Miller. The presentations included (1) Screening for Alcohol Use Disorders in Surgical and Trauma Patients, presented by Claudia Spies; (2) Are Serum Levels of %CDT and GGT Related to Severity of Liver Biopsy Inflammation, Fibrosis, and Steatohepatitis in Patients with Hepatitis C? by Martin Javors; (3) Biochemical Alcohol Screening in the Treatment of Hypertension, presented by Peter Miller; and (4) The Cost-Effectiveness of a New Biomarker, CDT, in a Primary Care Sample, by Michael Fleming. Presentations were discussed by Raymond Anton.