Association of systemic immune-inflammation index (SII) with risk of psoriasis: a cross-sectional analysis of National Health and Nutrition Examination Survey 2011-2014.

Background: The systemic immune-inflammation index (SII) is an emerging marker of inflammation, and the onset of psoriasis is associated with inflammation. The aim of our study was to investigate the potential impact of SII on the incidence rate of adult psoriasis.

Methods: We conducted a cross-sectional study based on the National Health and Nutrition Examination Survey (NHANES) 2011-2014 data sets.

A study of Chinese enterprises' business models to determine the impact of dynamic capabilities on innovation and performance.

Small and medium-sized enterprises (SMEs) can gain a competitive advantage by implementing business model innovation (BMI), which is characterized as irreversible changes to a company's business model. However, BMI is often associated with high risk, uncertainty, and ambiguity. In this study, the effectiveness of BMI on improving SME performance is examined using structural equation modeling (SEM) based on data collected from 330 Chinese SMEs.

Integrating 16S rRNA Gene Sequencing and Metabolomics Analysis to Reveal the Mechanism of L-Proline in Preventing Autism-like Behavior in Mice.

Background/objectives: Autism spectrum disorder (ASD) is characterized by impaired social interaction and repetitive stereotyped behavior. Effective interventions for the core autistic symptoms are currently limited.

Methods: This study employed a valproic acid (VPA)-induced mouse model of ASD to assess the preventative effects of L-proline supplementation on ASD-like behaviors.

Super-Resolution Fluorescence Imaging Reveals the Mechanism of NRP1 Clustering on Non-Small-Cell Lung Cancer Membranes.

Neuropilin 1 (NRP1) is upregulated in various types of malignant tumors, especially non-small-cell lung cancer (NSCLC). However, the precise mechanisms for membrane localization and regulation are not fully understood. Observations from super-resolution microscopy have revealed that NRP1 tends to form nanoscale clusters on the cell membrane, with these clusters varying significantly in size and density across different regions.

iDIA-QC: AI-empowered data-independent acquisition mass spectrometry-based quality control.

Quality control (QC) in mass spectrometry (MS)-based proteomics is mainly based on data-dependent acquisition (DDA) analysis of standard samples. Here, we collect 2754 files acquired by data independent acquisition (DIA) and paired 2638 DDA files from mouse liver digests using 21 mass spectrometers across nine laboratories over 31 months. Our data demonstrate that DIA-based LC-MS/MS-related consensus QC metrics exhibit higher sensitivity compared to DDA-based QC metrics in detecting changes in LC-MS status.