FAM13A polymorphism is associated with a usual interstitial pneumonia pattern in patients with systemic sclerosis-associated interstitial lung disease.

OBJECTIVES: The MUC5B promoter single nucleotide polymorphism (SNP) rs35705950 has been associated with idiopathic pulmonary fibrosis (IPF) and rheumatoid arthritis (RA)-related interstitial lung disease (ILD), but not with systemic sclerosis (SSc)-ILD. We hypothesized that the MUC5B promoter polymorphism or other IPF susceptibility loci are associated with an increased risk for the uncommon SSc-usual interstitial pneumonia (UIP) endophenotype, rather than SSc-ILD in general. METHODS: We performed a cross-sectional study of SSc-ILD patients from 4 US Scleroderma Programs to investigate the frequency of MUC5B rs35705950 and 12 additional IPF susceptibility loci. SSc-ILD patients were stratified by high resolution chest CT (HRCT) imaging findings into UIP and non-UIP groups. Analysis of HRCTs performed by a thoracic radiologist blinded to participants' characteristics classified each scan as definite UIP, probable UIP, indeterminate, or alternative diagnosis, according to American Thoracic Society criteria. RESULTS: Four-hundred eighty-nine SSc-ILD patients were included; 80% were female and 75% were White. Twenty-three (4.7%) patients had a definite UIP pattern. The MUC5B SNP rs35705950 was not associated with a definite UIP pattern in SSc-ILD. In contrast, patients carrying 2 copies of the IPF risk gene FAM13A minor allele rs2609255 had significantly higher odds of a definite UIP pattern compared with the other patterns (OR 3.40, 95% CI 1.19-9.70), and compared with an alternative diagnosis (OR 3.65, 95% CI 1.25-10.65). CONCLUSION: We demonstrated a novel association between FAM13A and SSc-UIP. Contrary to IPF and RA-ILD, the MUC5B promoter polymorphism was not associated with a definite UIP pattern in SSc-ILD.

Relationship between social participation and life satisfaction in community-dwelling older adults: Multiple mediating roles of depression and cognitive function.

BACKGROUND: Numerous studies have explored the relationship between social participation, depression, cognitive function, and life satisfaction in community-dwelling older adults. However, the results of these studies were not consistent. Therefore, the in-depth excavation of the complex relationship mechanism between these four variables is limited. This study aims to explore whether depression and cognitive function act as the multiple mediators between social participation and life satisfaction in community-dwelling older adults. METHODS: This study used the meta-analytic structural equation modeling (MASEM) approach. Six databases were comprehensively searched to investigate the relationship between social participation, depression, cognitive function, and life satisfaction in community-dwelling older adults from inception to March 1, 2023. RESULTS: The analysis included 50 articles that reported 66 effect sizes (N = 161,854). The MASEM found the relationship between social participation and life satisfaction was mediated by depression [ß = 0.085, 95 % CI (0.053, 0.126)] and by cognitive function [ß = 0.015, 95 % CI (0.002, 0.033)], respectively. Depression and cognitive function also played multiple mediating roles between social participation and life satisfaction in community-dwelling older adults [ß = 0.005, 95 % CI (0.001, 0.012)]. CONCLUSIONS: There was not only a direct association between social participation and life satisfaction, but also an association through multiple mediating roles of depression and cognitive function in community-dwelling older adults. In the process of using diverse interventions to promote social participation in community-dwelling older adults, more attention should be paid to their psychological status and cognitive function to eliminate intrinsic barriers so as to improve life satisfaction effectively.

Spatiotemporal dynamics and impacts of socioeconomic and natural conditions on PM2.5 in the Yangtze River Economic Belt.

The determination of the spatiotemporal patterns and driving factors of PM2.5 is of great interest to the atmospheric and climate science community, who aim to understand and better control the atmospheric linkage indicators. However, most previous studies have been conducted on pollution-sensitive cities, and there is a lack of large-scale and long-term systematic analyses. In this study, we investigated the spatiotemporal evolution of PM2.5 and its influencing factors by using an exploratory spatiotemporal data analysis (ESTDA) technique and spatial econometric model based on remote sensing imagery inversion data of the Yangtze River Economic Belt (YREB), China, between 2000 and 2016. The results showed that 1) the annual value of PM2.5 was in the range of 23.49-37.67 µg/m3 with an inverted U-shaped change trend, and the PM2.5 distribution presented distinct spatial heterogeneity; 2) there was a strong local spatial dependence and dynamic PM2.5 growth process, and the spatial agglomeration of PM2.5 exhibited higher path-dependence and spatial locking characteristics; and 3) the endogenous interaction effect of PM2.5 was significant, where each 1% increase in the neighbouring PM2.5 levels caused the local PM2.5 to increase by at least 0.4%. Natural and anthropogenic factors directly and indirectly influenced the PM2.5 levels. Our results provide spatial decision references for coordinated trans-regional air pollution governance as well as support for further studies which can inform sustainable development strategies in the YREB.

Two bilayer metal-organic frameworks with rare trinuclear heterometal clusters and tunable photoluminescence.

Two bilayer metal-organic frameworks (MOFs) respectively containing trinuclear Pb/K and Cd/Na clusters have been solvothermally synthesized. Photoluminescence studies showed that they exhibit tunable purple-to-red-to-green and purple-to-green luminescence behaviours by variation of excitation light, respectively.