A population of c-kit IL-17A ILC2s in sputum from individuals with severe asthma supports ILC2 to ILC3 trans-differentiation.

In prednisone-dependent severe asthma, uncontrolled sputum eosinophilia is associated with increased numbers of group 2 innate lymphoid cells (ILC2s). These cells represent a relatively steroid-insensitive source of interleukin-5 (IL-5) and IL-13 and are considered critical drivers of asthma pathology. The abundance of ILC subgroups in severe asthma with neutrophilic or mixed granulocytic (both eosinophilic and neutrophilic) airway inflammation, prone to recurrent infective exacerbations, remains unclear.

Do higher educated people feel happier?-Evidence of Han and minority nationalities from China.

Based on the data of China General Social Survey (CGSS), this study adopts empirical analysis method to explore the impact of education on residents' subjective well-being and its differentiated mechanism in different ethnic groups. The results show that, first of all, education significantly improves residents' subjective well-being, and the conclusion is still robust after controlling for endogenous problems. Secondly, compared with Han nationality, education has a more significant effect on the subjective well-being of ethnic minority residents.

Associations of Th1, Th2, Th17, and Treg cell levels and imbalance with recurrent spontaneous abortion: A meta-analysis.

Objective: Abnormal levels and imbalances of T cell subsets are common in recurrent spontaneous abortion (RSA) patients, but most studies have small sample sizes, and comprehensive evaluations are lacking. Therefore, this meta-analysis aimed to comprehensively investigate T cell subsets and their ratios in RSA patients.

Methods: Four databases (PubMed, EMBASE, Web of Science, and Cochrane Library databases) were searched until 10 January 2024.

Inference of Onsager coefficient from microscopic simulations by machine learning.

Dynamic density functional theory (DDFT) is a fruitful approach for modeling polymer dynamics, benefiting from its multiscale and hybrid nature. However, the Onsager coefficient, the only free parameter in DDFT, is primarily derived empirically, limiting the accuracy and broad application of DDFT. Herein, we propose a machine learning-based, bottom-up workflow to directly extract the Onsager coefficient from molecular simulations, circumventing partly heuristic assumptions in traditional approaches.

3D-printed constructs deliver bioactive cargos to expedite cartilage regeneration.

Cartilage is solid connective tissue that recovers slowly from injury, and pain and dysfunction from cartilage damage affect many people. The treatment of cartilage injury is clinically challenging and there is no optimal solution, which is a hot research topic at present. With the rapid development of 3D printing technology in recent years, 3D bioprinting can better mimic the complex microstructure of cartilage tissue and thus enabling the anatomy and functional regeneration of damaged cartilage.