Somatostatin receptor 1 (SSTR1) is a crucial therapeutic target for various neuroendocrine and oncological disorders. Current SSTR1-targeted treatments, including the first-generation somatostatin analog lanreotide (Lan) and the second-generation analog pasireotide (Pas), show promise but encounter challenges related to selectivity and efficacy. This study presents high-resolution cryo-electron microscopy structures of SSTR1 complexed with Lan or Pas, revealing the distinct mechanisms of ligand-binding and activation. These structures illustrate unique conformational changes in the SSTR1 orthosteric pocket induced by each ligand, which are critical for receptor activation and ligand selectivity. Combined with the biochemical assays and molecular dynamics simulations, our results provide a comparative analysis of binding characteristics within the SSTR family, highlighting subtle differences in SSTR1 activation by Lan and Pas. These insights pave the way for designing next-generation therapies with enhanced efficacy and reduced side effects through improved receptor subtype selectivity.

Myocardial fibrosis is a serious cause of heart failure and even sudden cardiac death. However, the mechanisms underlying myocardial ischemia-induced cardiac fibrosis remain unclear. Here, we identified that the expression of sterile alpha and TIR motif containing 1 (SARM1), was increased significantly in the ischemic cardiomyopathy patients, dilated cardiomyopathy patients (GSE116250) and fibrotic heart tissues of mice. Additionally, inhibition or knockdown of SARM1 can improve myocardial fibrosis and cardiac function of myocardial infarction (MI) mice. Moreover, SARM1 fibroblasts-specific knock-in mice had increased deposition of extracellular matrix and impaired cardiac function. Mechanically, elevated expression of SARM1 promotes the deposition of extracellular matrix by directly modulating P4HA1. Notably, by using the Click-iT reaction, we identified that the increased expression of ZDHHC17 promotes the palmitoylation levels of SARM1, thereby accelerating the fibrosis process. Based on the fibrosis-promoting effect of SARM1, we screened several drugs with anti-myocardial fibrosis activity. In conclusion, we have unveiled that palmitoylated SARM1 targeting P4HA1 promotes collagen deposition and myocardial fibrosis. Inhibition of SARM1 is a potential strategy for the treatment of myocardial fibrosis. The sites where SARM1 interacts with P4HA1 and the palmitoylation modification sites of SARM1 may be the active targets for anti-fibrosis drugs.

Microplastics(MPs)and nanoplastics(NPs)have become hazardous materials due to the massive amount of plastic waste and disposable masks,but their specific health effects remain uncertain.In this study,fluorescence-labeled polystyrene NPs(PS-NPs)were injected into the circulatory systems of mice to determine the distribution and potential toxic effects of NPs in vivo.Interestingly,whole-body imaging found that PS-NPs accumulated in the testes of mice.Therefore,the toxic effects of PS-NPs on the reproduction systems and the spermatocytes cell line of male mice,and their mechanisms,were investigated.After oral exposure to PS-NPs,their spermatogenesis was affected and the spermatogenic cells were damaged.The spermatocyte cell line GC-2 was exposed to PS-NPs and analyzed using RNA sequencing(RNA-seq)to determine the toxic mechanisms;a ferroptosis pathway was found after PS-NP exposure.The phenomena and indicators of ferroptosis were then determined and verified by ferroptosis inhibitor ferrostatin-1(Fer-1),and it was also found that nuclear factor erythroid 2-related factor 2(Nrf2)played an important role in spermatogenic cell ferroptosis induced by PS-NPs.Finally,it was confirmed in vivo that this mechanism of Nrf2 played a protective role in PS-NPs-induced male reproductive toxicity.This study demonstrated that PS-NPs induce male reproductive dysfunction in mice by causing spermatogenic cell ferroptosis dependent on Nrf2.

This paper reports the clinical characteristics and ZNF526 gene mutation in a child with Dentici-Novelli neurodevelopmental syndrome, who was admitted to the Department of Pediatrics at the First Affiliated Hospital of Henan University of Traditional Chinese Medicine in June 2021, and reviews the relevant literature.The male child, 5 years and 1 month old, presented with distinctive facial features, intellectual and motor retardation, language development delays, scattered Mongolian spots on the back and buttocks, brain tissue involvement, visual impairment, and epilepsy.The whole-exome sequencing of the family revealed that the child suffered compound heterozygous mutations, c.1430G>T and c. 475C>T, in the ZNF526 gene.At present, 7 mutation sites in the ZNF526 gene have been reported globally to be associated with neurodevelopmental disorders, and the 2 mutations in this case have not been reported in the literature, broadening the phenotype and mutation spectrum of this disease.

Objective To determine the scores of patients with a confirmed diagnosis of drug-induced liver injury(DILI)using Roussel Uclaf Causality Assessment Method(RUCAM),Maria&Victorino assessment scale,and Revised Electronic Causality Assessment Method(RECAM),to compare the accuracy of the three scales in diagnosis,and to investigate their clinical significance in the diagnosis of DILI.Methods A total of 98 patients with a confirmed diagnosis of DILI who were hospitalized in Peking University First Hospital from January 2011 to December 2022 were enrolled,with liver biopsy results supporting DILI and a clear history of medication.Clinical data were collected from all subjects,and the above causality assessment scales were used for scoring.The chi-square test was used to analyze the diagnostic accuracy of the causality assessment scales,and the weighted kappa coefficient was used to analyze the consistency between the three scales.Results For all patients with DILI enrolled,RECAM had the highest accuracy,with a significant difference compared with RUCAM(χ2=5.667,P=0.017).RUCAM and RECAM had moderate consistency in diagnosis(κw=0.469),while RECAM and Maria&Victorino scale had poor consistency(κw=0.156).For the patients with acute DILI,RECAM,RUCAM,and Maria&Victorino scales had a diagnostic inconsistency rate of 3.7%,11.1%,and 42.6%,respectively;for the patients with hepatocellular type DILI,the three scales of a diagnostic inconsistency rate of 8.9%,21.4%,and 62.5%,respectively;for the patients with cholestasis type or mixed type DILI,the three scales of a diagnostic inconsistency rate of 10.0%,22.5%,and 47.5%,respectively.Conclusion The use of RECAM and RUCAM scales in acute DILI can improve diagnostic rate,and for hepatocellular type DILI and DILI with the clinical manifestation of cholestasis(cholestasis type DILI and mixed type DILI),the use of RECAM and RUCAM scales can also improve diagnostic rate.The selection of causality assessment scales with a relatively high accuracy based on the course and clinical classification of the disease may help to further improve clinical diagnostic rate.

Objective To explore the application and effect of a pulmonary rehabilitation exercise program in patients with moderate to severe COPD based on the Information-Motivation-Behavior Skill(IMB)Model.Methods The convenience sampling method was adopted to select patients with moderate to severe COPD admitted to the department of respiratory and critical care medicine in a tertiary A hospital in Yantai City from October 2021 to February 2022.They were randomly divided into an intervention group(32 cases)and a control group(31 cases).The intervention group was treated with the pulmonary rehabilitation exercise program based on the IMB model on the basis of routine nursing,while the control group was treated with routine nursing.The degree of dyspnea,exercise endurance,quality of life,pulmonary rehabilitation exercise compliance,self-management ability and lung function were compared between the 2 groups before and 6 months after the intervention.Results After intervention,the degree of dyspnea,exercise endurance,quality of life,pulmonary rehabilitation exercise compliance and self-management ability were significantly different between the 2 groups(P＜0.05).There was no statistically significant difference in lung function between the 2 groups after intervention(P＞0.05).Conclusion The pulmonary rehabilitation program based on IMB model can effectively alleviate the symptoms of dyspnea in patients with moderate to severe COPD,improve exercise endurance,improve pulmonary rehabilitation exercise compliance and self-management ability,and improve the patients'quality of life.

Objective To establish a new model of indocyanine green (ICG) clearance test combined with total bilirubin actual resident rate (TBARR) for predicting the short-term prognosis of patients with hepatitis B virus-related acute-on-chronic liver failure (HBV-ACLF) treated with artificial liver support system (ALSS) therapy. Methods A retrospective analysis was performed for the clinical data of 136 patients with HBV-ACLF who underwent ALSS therapy in Department of Infectious Diseases, The Affiliated Hospital of Southwest Medical University, from June 2017 to July 2021, and according to the prognosis at 3-month follow-up, they were divided into survival group with 92 patients and death group with 44 patients. Related indicators were measured at the time of the confirmed diagnosis of ACLF, including biochemical parameters, coagulation, indocyanine green retention rate at 15 minutes (ICGR 15 ), and effective hepatic blood flow (EHBF), and related indices were calculated, including Model for End-Stage Liver Disease (MELD) score, MELD difference (ΔMELD), Child-Turcotte-Pugh (CTP) score, total bilirubin clearance rate (TBCR), total bilirubin rebound rate (TBRR), and TBARR. The Mann-Whitney U test was used for comparison of continuous data with skewed distribution between two groups; the chi-square test was used for comparison of categorical data between groups. A binary logistic regression analysis was used to establish a combined predictive model for the prognosis of HBV-ACLF after ALSS therapy. The area under the ROC curve (AUC) was used to compare the accuracy of various models in judging the short-term prognosis of patients with HBV-ACLF after ALSS therapy, and the Z test was used for comparison of AUC. Results There were significant differences between the death group and the survival group in MELD score, ΔMELD, CTP score, ICGR 15 , EHBF, TBRR, TBARR, neutrophil count, percentage of neutrophils, lymphocyte count, platelet count, alkaline phosphatase, gamma-glutamyl transpeptidase, total bilirubin, albumin, prothrombin time, international normalized ratio, prothrombin time activity, prealbumin, fibrinogen, serum sodium, age, and the incidence rate of hepatic encephalopathy (all P < 0.05). The multivariate logistic regression analysis showed that age (odds ratio [ OR ]=1.096, 95% confidence interval [ CI ]: 1.056-1.137, P < 0.001), neutrophil count ( OR =1.214, 95% CI : 1.044-1.411, P =0.012), TBRR ( OR =0.989, 95% CI : 0.982-0.996, P =0.001), TBARR ( OR =1.073, 95% CI : 1.049-1.098, P < 0.001), ΔMELD ( OR =1.480, 95% CI : 1.288-1.701, P < 0.001), CTP score ( OR =2.081, 95% CI : 1.585-2.732, P < 0.001), and ICGR 15 ( OR =1.116, 95% CI : 1.067-1.168, P < 0.001) were independent influencing factors for short-term mortality in patients with HBV-ACLF after ALSS therapy. The binary logistic regression analysis was used to establish four combined predictive models for predicting the prognosis of HBV-ACLF after ALSS therapy, i.e., TBRR-ICGR 15 , TBARR-ICGR 15 , TBARR-ICGR 15 -ΔMELD, and TBARR-ICGR 15 -ΔMELD-age, with an AUC of 0.830, 0.867, 0.900, and 0.917, respectively, and the combined predictive models had a larger AUC than each index alone (age, neutrophil count, TBRR, TBARR, ΔMELD, MELD score, CTP score, and ICGR 15 ), among which the TBARR-ICGR 15 -ΔMELD-age model had the largest AUC. The combined models TBARR-ICGR 15 -ΔMELD and TBARR-ICGR 15 -ΔMELD-age had sensitivities and specificities of > 80%. Conclusion The combined predictive model established by ICGR 15 and TBARR has a good value for in predicting the short-term prognosis of patients with HBV-ACLF after ALSS therapy, and the combined predictive model has a better accuracy than the single model in judging prognosis.

In China, the level of ambient fine particulate matter (PM 2.5 ) pollution far exceeds the air quality standards recommended by the World Health Organization. Moreover, the health effects of PM 2.5 exposure have become a major public health issue. More than half of PM 2.5 -related excess deaths are caused by cardiopulmonary disease, which has become a major health risk associated with PM 2.5 pollution. In this review, we discussed the latest epidemiological advances relating to the health effects of PM 2.5 on cardiopulmonary diseases in China, including studies relating to the effects of PM 2.5 on mortality, morbidity, and risk factors for cardiovascular and respiratory diseases. These data provided important evidence to highlight the cardiopulmonary risk associated with PM 2.5 across the world. In the future, further studies need to be carried out to investigate the specific relationship between the constituents and sources of PM 2.5 and cardiopulmonary disease. These studies provided scientific evidence for precise reduction measurement of pollution sources and public health risks. It is also necessary to identify effective biomarkers and elucidate the biological mechanisms and pathways involved; this may help us to take steps to reduce PM 2.5 pollution and reduce the incidence of cardiopulmonary disease.
Humans ; Particulate Matter/analysis* ; Air Pollution/adverse effects* ; Risk Factors ; Respiratory Tract Diseases ; China/epidemiology* ; Environmental Exposure/adverse effects*

Objective:To explore the association between short-term exposures to fine particulate matter (PM 2.5) on blood lipids in the elderly. Methods:In this panel study, five repeated measurements were performed on 76 people aged 60-69 in Jinan city. Each participant had a PM 2.5 monitor for 72 hours before each health examination, including a questionnaire survey, physical examination, and biological sample collection. Serum triglycerides (TG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C) were examined, and non-HDL-C concentrations were calculated by subtracting HDL-C from TC. The generalized linear mixed-effects model was used to quantify the association of personal PM 2.5 exposure at different lag with blood lipids and dyslipidemia. Results:The age of 70 participants was (65.0±2.8) years, of which 48.6% (34/70) were males. The BMI of participants was (25.0±2.5) kg/m 2. Their TC, TG, LDL-C, HDL-C, and non-HDL-C concentrations were (5.75±1.32), (1.55±0.53), (3.27±0.94), (1.78±0.52), and (3.97±1.06) mmol/L, respectively. Generalized linear mixed-effects model showed that after adjusting for confounding factors, at lag 72 hours, each 10 μg/m 3 increase in PM 2.5 was associated with the percentage change in TC, LDL-C, HDL-C and non-HDL-C about 1.77% (95% CI: 1.22%-2.32%), 1.90% (95% CI: 1.18%-2.63%), 1.99% (95% CI: 1.37%-2.60%) and 1.74% (95% CI: 1.11%-2.37%), and the OR values (95% CI) of hypercholesterolemia, hypertriglyceridemia and hyperbetalipoproteinemia were 1.11 (1.01-1.22), 1.33 (1.03-1.71) and 1.15 (1.01-1.31), respectively. Conclusion:There is a significant association of short-term PM 2.5 exposure with the concentration of blood lipids and the risk of dyslipidemia in the elderly.

Objective:To explore the association between short-term exposures to fine particulate matter (PM 2.5) on blood lipids in the elderly. Methods:In this panel study, five repeated measurements were performed on 76 people aged 60-69 in Jinan city. Each participant had a PM 2.5 monitor for 72 hours before each health examination, including a questionnaire survey, physical examination, and biological sample collection. Serum triglycerides (TG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C) were examined, and non-HDL-C concentrations were calculated by subtracting HDL-C from TC. The generalized linear mixed-effects model was used to quantify the association of personal PM 2.5 exposure at different lag with blood lipids and dyslipidemia. Results:The age of 70 participants was (65.0±2.8) years, of which 48.6% (34/70) were males. The BMI of participants was (25.0±2.5) kg/m 2. Their TC, TG, LDL-C, HDL-C, and non-HDL-C concentrations were (5.75±1.32), (1.55±0.53), (3.27±0.94), (1.78±0.52), and (3.97±1.06) mmol/L, respectively. Generalized linear mixed-effects model showed that after adjusting for confounding factors, at lag 72 hours, each 10 μg/m 3 increase in PM 2.5 was associated with the percentage change in TC, LDL-C, HDL-C and non-HDL-C about 1.77% (95% CI: 1.22%-2.32%), 1.90% (95% CI: 1.18%-2.63%), 1.99% (95% CI: 1.37%-2.60%) and 1.74% (95% CI: 1.11%-2.37%), and the OR values (95% CI) of hypercholesterolemia, hypertriglyceridemia and hyperbetalipoproteinemia were 1.11 (1.01-1.22), 1.33 (1.03-1.71) and 1.15 (1.01-1.31), respectively. Conclusion:There is a significant association of short-term PM 2.5 exposure with the concentration of blood lipids and the risk of dyslipidemia in the elderly.