Platelets are small, anucleated cells generated by cytoplasmic fragmentation and shedding from mature megakaryocytes. Upon vascular stimulation or injury, platelets become activated and adhere to exposed vascular endothelial cells, ultimately forming thrombi to promote blood coagulation and wound healing. In recent years, increasing evidence from in-depth studies on platelet function has revealed that autophagy plays a crucial role in platelet production and functional performance. Autophagy is an intracellular process of material recycling and reuse, involving autophagosome formation, cargo degradation, and nutrient recycling, which facilitates the maintenance of homeostasis and defense against pathogen infection. Numerous studies have demonstrated that autophagy participates in the regulation of platelet production, activation, and aggregation, and is closely implicated in the pathogenesis of platelet dysfunction-related diseases such as immune thrombocytopenia. Additionally, platelet-rich plasma therapy, by modulating the autophagic process, has shown great potential in treating osteoarthritis and promoting diabetic foot wound healing. This review thoroughly explores the potential roles of autophagy in regulating platelet production and function, as well as in platelet-related diseases. Future research should focus on the molecular mechanisms of platelet autophagy, investigate its dynamic changes under different disease conditions, and explore how autophagy modulation can improve platelet function and treat related diseases. This will provide a theoretical foundation for developing novel therapeutic strategies and is expected to bring breakthroughs in the treatment of platelet-related diseases.

Objective:To retrieve, evaluate and summarize relevant evidence on communication strategies for families with perinatal loss, and to provide an evidence-based basis for communication practice among clinical health professionals.Methods:The system searches for evidence related to the loss of family doctor-patient communication strategies during the perinatal period in computer decision support systems such as UpToDate, BMJ Best Clinical Practice, International Guidelines Network, UK National Institute for Health and Clinical Excellence, PubMed, Web of Science, CINAHL, China National Knowledge Infrastructure, Wanfang Data, as well as in Chinese and English databases and related websites.The search was conducted between January 2012 and December 2022. The literature ′s quality and extracted evidence were independently evaluated by two researchers according to professional judgement. Results:A total of 13 articles were included, including 1 clinical decision, 2 guidelines, 4 national standards, 2 expert consensus, and 4 systematic reviews. 30 pieces of evidence have been summarized across five aspects, comprising communication environment, communication skills, timing and key points of communication, communication for special populations, and system-level communication support.Conclusions:This study summarizes the relevant evidence on communication strategies for family doctor-patient communication strategies for perinatal loss. Clinical professionals should carefully select and apply relevant evidence based on available medical resources and parental preferences, Develop and implement practical standards for family doctor-patient communication strategies for perinatal loss at the system level, further harmonize communication behaviors, and improve communication quality.

Objective: Previous studies have discovered a correlation between cigarette smoking and cortical thickness and surface area, but the causal relationship remains unclear. The objective of this investigation is to scrutinize the causal association between them. Methods: To derive summary statistics from a genome-wide association study (GWAS) on cortical thickness, surface area, and four smoking behaviors: 1) age of initiation of regular smoking (AgeSmk); 2) smoking initiation (SmkInit); 3) smoking cessation (SmkCes); 4) cigarettes per day (CigDay). Linkage disequilibrium score regression (LDSC) was employed to examine genetic association analysis. Furthermore, for traits with significant genetic associations, Mendelian randomization (MR) analyses were conducted. Results: The LDSC analysis revealed nominal genetic correlations between AgeSmk and right precentral surface area, left caudal anterior cingulate surface area, left cuneus surface area, left inferior parietal surface area, and right caudal anterior cingulate thickness, as well as between CigDay and left caudal middle frontal surface area, between SmkCes and left entorhinal thickness, and between SmkInit and left rostral anterior cingulate surface area, right rostral anterior cingulate thickness, and right superior frontal thickness (rg=-0.36–0.29, p<0.05). MR analysis showed a unidirectional causal association between left caudal middle frontal surface area and CigDay (βIVW=0.056, pBonferroni=2×10-4). Conclusion Left caudal middle frontal surface area has the potential to serve as a significant predictor of smoking behavior.

Synovium is the target organ of rheumatoid arthritis.The excessive proliferation of synovial cells and insufficient apoptosis lead to synovial hyperplasia,which in turn causes damage to the surrounding tissues of the joint and bone destruction."Yang transforming qi and yin forming elements"is derived from Su Wen and is a highly summarized description of the functions of yin and yang,which runs through the entire course of the disease.This article elucidated the theoretical connotation of"yang transforming qi and yin forming elements"and its connection with synovial hyperplasia,proposing that the insufficiency of"yang transforming qi"is the root of synovial hyperplasia,while the excess of"yin forming elements"is the manifestation of synovial hyperplasia.Based on this,it put forward that"assisting yang qi as the priority,and according to the bias of pathogenic factors of yin,supplementing the method of reducing yin forming elements"is an important principle for treating this disease,which could provide new ideas for the treatment of the disease.

Objective:To investigate the ultra-long-term antihypertensive efficacy, safety, major adverse events, and survival benefits of renal denervation (RDN) in patients with resistant hypertension (rHTN) and mild chronic kidney disease (CKD).Methods:This real-world, single-center retrospective study enrolled patients with rHTN and mild CKD who underwent RDN at Tianjin First Central Hospital between October 2011 and June 2016. Office blood pressure, home self-measured blood pressure, 24-hour ambulatory blood pressure, serum creatinine, estimated glomerular filtration rate, and urine albumin-to-creatinine ratio were collected at baseline and at 1, 5, and 13 years post-RDN. The total daily defined dose of antihypertensive medications at 13 years post-RDN was recorded, along with endpoint events during follow-up, including cardiovascular death, all-cause death, hospitalization for heart failure, myocardial infarction, and stroke. Patients were stratified according to CKD stage (G1-G2 vs. G3a) and baseline systolic blood pressure (mild-to-moderate vs. severe hypertension), and follow-up data were compared across subgroups.Results:A total of 40 patients were included, aged (51±15) years, including 26 (65%) males. At the 13-year follow-up, office systolic blood pressure (SBP) and diastolic blood pressure (DBP) decreased by (-32±20) mmHg and (-15±14) mmHg (1 mmHg=0.133 kPa), respectively; reductions in home self-measured blood pressure (SBP: (-25±14) mmHg, DBP: (-10±11) mmHg) and 24-hour ambulatory blood pressure (SBP: (-16±9 mmHg, DBP: (-10±6) mmHg) were also observed, alongside a reduction in the total daily defined dose of antihypertensive medications by (1.1±0.9) compared to baseline. Renal function assessments showed no significant differences at 13 years versus baseline in serum creatinine ((105±51) μmol/L vs. (96±22) μmol/L), estimated glomerular filtration rate ((72±22) ml·min -1·1.73 m -2 vs. (78±17) ml·min -1·1.73 m -2), or urine albumin-to-creatinine ratio ((101±86) mg/g vs. (127±82) mg/g) (all P>0.05). All-cause and cardiovascular mortality rates during follow-up were 13% (5/40) and 8% (3/40), respectively. Subgroup analysis results showed that, although CKD G1-G2 patients had smaller reductions in office SBP ((-31±20) mmHg vs. (-34±19) mmHg) and DBP ((-13±10) mmHg vs. (-25±18) mmHg) compared to G3a patients at 13 years, intergroup differences were not significant (all P>0.05). In contrast, severe hypertension subgroup exhibited greater reductions in office SBP ((-55±13) mmHg vs. (-20±10) mmHg) and DBP ((-24±17) mmHg vs. (-13±10) mmHg) versus mild-to-moderate hypertension subgroup (all P<0.05). Conclusion:RDN demonstrates sustained antihypertensive efficacy with favorable renal safety in rHTN patients with mild CKD. Patients with higher baseline systolic blood pressure may exhibit better responsiveness to RDN.

Objectives To construct frailty risk prediction models based on logistic regression anal-ysis,decision tree and random forest algorithm in elderly patients with heart failure(HF),and to compare the predictive performance of three models.Methods A total of 426 elderly HF patients hospitalized in the Affiliated Hospital of Nantong University from September 2022 to October 2023 were selected using convenience sampling.Based on the results of frailty assessment,194 of them were classified into the frail group and the other 232 into the non-frail group.The 426 patients were divided into training(299 casses)and testing sets(127 cases)in a 7∶3 ratio.Three prediction models were then constructed in the training set,while the test set was used to validate the results.Area under curve and confusion matrix were used to measure performance of the mod-els.The optimal model was then selected by evaluating the performance on the testing set.Results The area under curve value of the logistic regression model,decision tree model and random forest model in the testing set was 0.898,0.825 and 0.903,with a classification accuracy of 84.25％,77.95％and 83.46％,a sensitivity of 82.76％,68.97％and 82.76％,a specificity of 85.51％,85.51％and 84.06％,a positive predictive value of 82.76％,80.00％and 81.36％,and a negative predictive value of 85.51％,76.62％and 85.29％,respectively.The factors that ultimately affecting frailty in elderly HF patients were age,left atrial diameter,depression,albumin,physical activity level and social support.Conclusion Among the three prediction models,the logistic regression model demonstrates best predictive performance for frailty risk in elderly HF patients than the decision tree and random forest models.

Objective:To explore the effectiveness of predictive exercise intervention combined with information-knowledge-attitude-practice (IKAP) model-based nursing in patients with gestational hypertension (GH) .Methods:Convenience sampling was used to select 130 GH patients admitted to Taizhou Hospital of Zhejiang Province from January 2022 to December 2024 for the study. Sixty-five GH patients admitted from January 2022 to June 2023 were set as control group, and 65 GH patients admitted from July 2023 to December 2024 were set as observation group. Control group implemented conventional nursing, and observation group was treated with predictive exercise intervention combined with IKAP model-based nursing on the basis of conventional nursing. Depression, delivery outcomes, and incidence of complications were compared between two groups of GH patients after intervention.Results:During the study period, no patients were excluded from observation group and one patient was withdrawn from control group for personal reasons, resulting in the inclusion of 64 patients. Patients in observation group at 6 weeks postpartum had lower scores on the Chinese version of the Edinburgh Postnatal Depression Scale than those in control group, and the incidence of premature labor, cesarean section, and lower limb swelling were lower than those in control group, and the differences were all statistically significant ( P<0.05) . Conclusions:Predictive exercise intervention combined with IKAP model-based nursing can improve the coagulation function of GH patients, reduce the incidence of lower limb swelling, alleviate the patient's postpartum depression, and facilitate safe delivery.

Objective To explore the mechanism of Quhan Zhufeng Mixture on proliferation and apoptosis of rheumatoid arthritis fibroblast-like synoviocyte(RA-FLS)based on NDRG2/JAK2/STAT3 signaling pathway.Methods RA-FLS cells were cultured in vitro,and were divided into ① blank serum group,methotrexate group,Quhan Zhufeng Mixture low-,medium-and high-dosage groups;② blank serum group,AG490 group,Quhan Zhufeng Mixture low-,medium-and high-dosage groups.Different concentrations of drug-containing serum were used to intervene cells.Cell proliferation was detected by CCK-8 method,apoptosis was detected by flow cytometry,and mRNA expressions of Bax,Bcl-2,Caspace-3,Caspace-9,N-myc downstream regulatory gene 2(NDRG2),Janus kinase 2(JAK2)and signal transduction and transcription activator 3(STAT3)were detected by RT-qPCR,Western blot was used to detect the protein expressions of Bax,Bcl-2,Caspace-3,Caspace-9,NDRG2,JAK2,STAT3,p-JAK2 and p-STAT3 in cells.Results Compared with the blank serum group,cell survival rate in methotrexate group,Quhan Zhufeng Mixture all dosage groups significantly decreased(P<0.01),the apoptosis rate significantly increased(P<0.01),the mRNA and protein expressions of Bax and Caspase-9 significantly increased(P<0.05,P<0.01),while the mRNA and protein expression of Bcl-2 significantly decreased(P<0.01),and Caspase-3 mRNA and protein expression in methotrexate group and Quhan Zhufeng Mixture medium-and high-dosage groups significantly increased(P<0.01).Compared with the blank serum group,the mRNA and protein expression of NDRG2 significantly increased in Quhan Zhufeng Mixture all dosage groups(P<0.05,P<0.01),the mRNA and protein expressions of JAK2 and STAT3 were significantly reduced in AG490 group and Quhan Zhufeng Mixture medium-and high-dosage groups(P<0.05,P<0.01),and the expressions of p-JAK2 and p-STAT3 proteins were significantly reduced(P<0.01).Conclusion Quhan Zhufeng Mixture can regulate the proliferation and apoptosis of RA-FLS by regulating the activity of NDRG2/JAK2/STAT3 signaling pathway,playing a role in treating rheumatoid arthritis.

Objective To analyze the effect of hand transmitted vibration on fingertip thermotactile perception threshold (TPT) among grinding workers in a sports equipment manufacturing enterprise. Methods A total of 151 male grinding workers from a sports equipment manufacturing enterprise in Guangdong Province were enrolled in the vibration exposure group, and 51 male workers without hand-transmitted vibration exposure were enrolled in the control group, using the judgment sampling method. Basic health conditions of the workers were surveyed in both groups. The TPTs of the distal phalanges of the index and little fingers on both hands were tested using an HVLab thermal perception tester. Results The detection rates of finger numbness and tingling among workers in the vibration exposure group were higher than those in the control group (92.1% vs 7.8% and 59.6% vs 0.0%, respectively, both P<0.01). The detection rates of numbness or tingling of different fingers in the vibration exposure group descended in the following order: index finger, middle finger, ring finger, thumb and little finger. The hot threshold of the index finger and little finger increased (all P<0.01), while the cold threshold decreased (all P<0.01) in the vibration exposure group, compared with the control group. The results of generalized linear regression analysis showed that with the increase of the duration of hand-transmitted vibration, the hot threshold of the index finger and the little finger of both hands increased (all P<0.01), and the cold threshold decreased (all P<0.01). The hot thresholds of workers with numbness of both the index fingers and left little finger were higher than those of workers without numbness of the same finger (all P<0.05). The hot threshold of workers with tingling of the left index finger was higher than those without tingling (P<0.05). The cold thresholds of workers with tingling of the both index fingers and left little finger were lower than those without tingling of the same finger (all P<0.05). The hot threshold of the right little finger increased with age (P<0.01), while the cold thresholds of both little fingers decreased with age (all P<0.01). Conclusion Hand-transmitted vibration exposure increases fingertip hot threshold and decreases fingertip cold threshold of workers exposed to hand-transmitted vibration. Years of service in hand-transmitted vibration work, finger numbness or tingling, and age were influencing factors of TPT. Fingertip TPT examination can be used to assist in the early detection of vibration-induced nerve injury in workers exposed to hand-transmitted vibration.

Computational analysis can accurately detect drug-gene interactions(DGIs)cost-effectively.However,transductive learning models are the hotspot to reveal the promising performance for unknown DGIs(both drugs and genes are present in the training model),without special attention to the unseen DGIs(both drugs and genes are absent in the training model).In view of this,this study,for the first time,proposed an inductive learning-based model for the precise identification of unseen DGIs.In our study,by integrating disease nodes to avoid data sparsity,a multi-relational drug-disease-gene(DDG)graph was constructed to achieve effective fusion of data on DDG intro-relationships and inter-actions.Following the extraction of graph features by utilizing graph embedding algorithms,our next step was the retrieval of the attributes of individual gene and drug nodes.In this way,a hybrid feature charac-terization was represented by integrating graph features and node attributes.Machine learning(ML)models were built,enabling the fulfillment of transductive predictions of unknown DGIs.To realize inductive learning,this study generated an innovative idea of transforming known node vectors derived from the DDG graph into representations of unseen nodes using node similarities as weights,enabling inductive predictions for the unseen DGIs.Consequently,the final model was superior to existing models,with significant improvement in predicting both external unknown and unseen DGIs.The practical feasibility of our model was further confirmed through case study and molecular docking.In summary,this study establishes an efficient data-driven approach through the proposed modeling,suggesting its value as a promising tool for accelerating drug discovery and repurposing.