Angiopoietin-like protein 4 dysregulation in kidney diseases: a promising biomarker and therapeutic target.

The global burden of renal diseases is increasingly severe, underscoring the need for in-depth exploration of the molecular mechanisms underlying renal disease progression and the development of potential novel biomarkers or therapeutic targets. Angiopoietin-like protein 4 (ANGPTL4) is a multifunctional cytokine involved in the regulation of key biological processes, such as glucose and lipid metabolism, inflammation, vascular permeability, and angiogenesis, all of which play crucial roles in the pathogenesis of kidney diseases. Over the past 2 decades, ANGPTL4 has been regarded as playing a pivotal role in the progression of various kidney diseases, prompting significant interest from the scientific community regarding its potential clinical utility in renal disorders.

A comparison of the response-pattern-based faking detection methods.

The covariance index method, the idiosyncratic item response method, and the machine learning method are the three primary response-pattern-based (RPB) approaches to detect faking on personality tests. However, less is known about how their performance is affected by different practical factors (e.g.

Effect of Canna edulis starch addition on the properties of flour, rheology of dough and quality of semi-dry noodles.

Background: Canna edulis is a high-quality resistant starch raw material, especially for making flour products. This study aimed to investigate the effect of Canna edulis starch (CES) on the properties of flour, rheology of dough and quality of semi-dry noodles. The CES replaced part of the wheat flour in the semi-dry noodle formula.