ObjectiveTo describe the characteristics of cardiorespiratory fitness levels in the baseline population of the South China Cohort， and to identify the potential contributing factors. MethodsFace-to-face surveys and physical examinations were conducted to collect information on demographic characteristics， medical histories， medications， lifestyles， and physical activity conditions. After excluding individuals with missing cardiorespiratory fitness-related data and covariates including physical activity and dietary information， a total of 77 024 participants aged 25 to 85 were included. Cardiorespiratory fitness levels were evaluated using a non-exercise algorithm， and low cardiorespiratory fitness level was defined as below the lower tertile of the population distribution. Logistic regression analysis was used to examine the distribution of low cardiorespiratory fitness level， and log-binomial regression and ordered logistic regression analyses were used to analyze the associations of cardiorespiratory fitness with demographic characteristics， socioeconomic factors， lifestyle factors （including alcohol consumption and dietary diversity）， and chronic diseases conditions （including diabetes， hypertension， pulmonary diseases， and cardiovascular diseases）. ResultsCardiorespiratory fitness levels showed a sufficiently normal distribution in both male and female group. We found that the proportion of low cardiorespiratory fitness level was higher among Han ethnicity， those with an educational level below 9th grade， households with an annual income of more than 100 000 Yuan， as well as those who drank alcohol at least one time per week and who exhibited low dietary diversity （all P＜0.001）. Ethnicity， socioeconomic status， lifestyle factors， and chronic diseases were found to be statistically associated with cardiorespiratory fitness levels in the South China population （all P＜0.001）. ConclusionCardiorespiratory fitness levels varied across different population groups in South China， with ethnicity， socioeconomic status， lifestyle factors， and chronic diseases serving as key determinants. Therefore， it is recommended that the public pay attention to cardiorespiratory fitness， as strengthening population-level monitoring and interventions for cardiorespiratory fitness carries significant public health implications.

Objective To investigate the effect of different lymph node dissection methods on the prognosis of patients with stage ⅠA spread through air spaces (STAS)-positive lung adenocarcinoma measuring ≤2 cm. Methods The clinical data of 3 148 patients with lung adenocarcinoma who underwent surgery at the Department of Thoracic Surgery, The First Affiliated Hospital of University of Science and Technology of China from 2016 to 2018 were retrospectively analyzed. Patients with stage ⅠA STAS-positive lung adenocarcinoma measuring ≤2 cm were included and divided into two groups based on the extent of lymph node dissection: a systematic lymph node dissection (SLND) group and a limited lymph node dissection (LLND) group. Clinicopathological data between the two groups were compared, and a Cox proportional hazards regression model was used for multivariate survival analysis. Results A total of 209 patients (98 males and 111 females) were included. The mean age was (60.42±10.15) years (ranging from 28 to 83 years). All patients successfully completed the surgery. Univariate analysis revealed that the extent of lymph node dissection, past medical history, and micropapillary histological subtype were influencing factors for prognosis. Multivariate analysis indicated that the extent of lymph node dissection, age, and the micropapillary histological subtype were independent influencing factors for prognosis. Furthermore, among STAS-positive patients, those in the SLND group exhibited a better prognosis compared to those in the LLND group. Conclusion The extent of lymph node dissection is an independent prognostic factor for patients with stage ⅠA STAS-positive lung adenocarcinoma measuring ≤2 cm.Performing SLND may be more beneficial for their long-term prognosis.

Coronary artery calcifications (CAC) is an independent risk factor for cardiovascular disease (CVD). It has been revealed that this condition can be automatically quantified through computerize tomographic (CT) scan contained in radiotherapy plan for patients with breast cancer, with which, physicians can identify the patients with increased risk of CVD after radiotherapy prematurely and take intervention measures in advance. In this article, the current literature and research progress on the correlation between CAC and cardiotoxicity in patients with breast cancer after radiotherapy were reviewed, expecting to provide a strategy to reduce the CVD risk in patients with breast cancer after radiotherapy.

Prior research has demonstrated significant deficits in sensory attenuation in patients with schizophrenia， which is a phenomenon that pertains to their inability to adequately modulate the intensity of sensory feedback associated with self-initiated voluntary actions. Sensory attenuation， a fundamental aspect of the sense of agency， is crucial for individuals to accurately perceive their own actions and effectively adapt to the external environment. Investigation on this phenomenon sheds light on the intricate mechanisms underlying sensory information processing deficits in patients with schizophrenia. This paper comprehensively examines the intricate relationship between abnormal sensory attenuation and the early identification of schizophrenia， delves into the underlying mechanisms that give rise to these abnormalities， and explores intervention strategies specifically designed to address them. Ultimately， our aim is to offer novel perspectives and insights that can contribute to the advancement of diagnosis and treatment of schizophrenia. ［Funded by Regional Project of National Natural Science Foundation of China （number， 32160202）］

Objective:To study the whole bone marrow cellular composition of jaw and long bones, and further analyze the heterogeneity of mesenchymal stem cells (MSCs) derived from these two tissue, aiming at exploring the differences in functional characteristics of bone MSCs from different lineage sources.Methods:The Seurat package of R language was used to analyze the mandibular and femur whole bone marrow single-cell RNA-sequencing (scRNA-seq) datasets in the literature, and the subpopulations were annotated by reference to the marker genes reported by previous studies. The differentially expressed genes between mandible-derived MSCs (M-MSCs) and femur-derived MSCs (F-MSCs) were calculated, and cell-cell communication analysis between M-MSCs or F-MSCs with other cell populations was performed. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed on up-regulated and down-regulated differentially expressed genes of M-MSCs, and Gene Set Enrichment Analysis (GSEA) was performed on M-MSCs or F-MSCs.Results:cRNA-seq analysis showed that the mandible and femur had the same bone marrow cell composition, but there were differences in the proportion of specific cell populations. Also, there were significantly differentially expressed genes between M-MSCs and F-MSCs. In addition, cell-cell communication analysis revealed differences in numbers of ligand-receptor pairs between M-MSCs or F-MSCs with other cell populations. Furthermore, GO, KEGG and GSEA analysis showed that M-MSCs had higher extracellular matrix production potential than F-MSCs, but had lower ability to regulate other cells in the bone marrow, especially immune cells.Conclusions:M-MSCs and F-MSCs showed distinct differences in the gene expression pattern and up-regulated signaling pathways, which may be closely related to the developmental sources and functional characteristics of jaw and long bones.

With the deepening of modern drug research,traditional computer simulation can not meet the needs of future drug design experiments.As a classic technology of standard computer simulation,molecular simulation can construct and analyze complex molecular models to study the dynamic processes of molecular motion.However,the simulation results are easy to be affected by human factors.In recent years,the integration of artificial intelligence and molecular simulation has become a new method of drug design research.Artificial intelligence technology uses big data to screen out the corresponding compounds for molecular simulation and feedback on the simulation results to the artificial intelligence system to optimize the artificial neural network.The combination of artificial intelligence and molecular simulation technology improves the efficiency of drug design research,reduces the influence of human factors on simulation results,and increases the credibility of simulation results.In this review,we summarized the progress of artificial intelligence and molecular simulation technology in drug design to provide a reference for the change from computer assisted drug design(CADD)to artificial intelligence-aided drug design(AIDD)in future pharmaceutical development.