To investigate the incidence of postoperative neuropsychic dysfunction (PND) in Parkinson's disease (PD) patients undergoing deep brain stimulation (DBS) and to analyze its influencing factors.

ObjectiveTo investigate the effect of astragaloside Ⅳ（AS-Ⅳ） on the proliferation of vascular smooth muscle cells（VSMCs） induced by angiotensin Ⅱ（Ang Ⅱ） based on solute carrier family 7 member 11/glutathione peroxidase 4（SLC7A11/GPX4） pathway. MethodsPrimary rat thoracic aortic VSMCs were cultured by tissue explant method， and the cell types were identified by immunofluorescence. Cell counting kit-8（CCK-8） was used to determine the optimal concentration and time of AS-Ⅳ after Ang Ⅱ stimulation. The experiment was divided into blank group， model group， AS-Ⅳ group（40 μmol·L^-1）， Erastin group（0.5 μmol·L^-1）， Erastin+AS-Ⅳ group（0.5 μmol·L^-1+40 μmol·L^-1）. The blank group was cultured in normal medium， the model group was cultured in medium containing Ang Ⅱ（0.1 μmol·L^-1）， and each administration group was cultured in medium containing Ang Ⅱ（0.1 μmol·L^-1） and the corresponding doses of drug. CCK-8 and plate clone formation assay were used to detect the proliferation of cells in each group， Prussian blue staining was used to detect cell iron deposition， the content of reactive oxygen species（ROS） in cells was detected by fluorescence probe method， the content of malondialdehyde（MDA） was detected by thiobarbituric acid（TBA） method， and the protein levels of SLC7A11 and GPX4 in each group were detected by Western blot. ResultsPrimary rat thoracic aortic VSMCs were successfully cultured by tissue explant method， and immunofluorescence detection showed that positive expression of α-smooth muscle actin（α-SMA） and negative expression of vimentin in the cells， identifying them as VSMCs. The optimal concentration and time of AS-Ⅳ determined by CCK-8 were 40 μmol·L^-1 and 24 h， respectively. Pharmacodynamic studies showed that compared with the blank group， the cell proliferation in the model group increased， the iron deposition in the cells increased， the contents of ROS and MDA increased， and the expression levels of SLC7A11 and GPX4 proteins decreased（P<0.05， P<0.01）. Compared with the model group， the cell proliferation of the AS-Ⅳ group was inhibited， the iron deposition in the cells was decreased， the contents of ROS and MDA were decreased， and the expression levels of SLC7A11 and GPX4 proteins were increased（P<0.05， P<0.01）. While in the Erastin group， the cell proliferation was increased， the iron deposition was increased， ROS and MDA contents were increased， and the expression levels of SLC7A11 and GPX4 proteins were decreased（P<0.05， P<0.01）. Compared with the AS-Ⅳ group， Erastin+AS-Ⅳ group showed increased cell proliferation， increased iron deposition in cells， increased ROS and MDA contents， and decreased expression of SLC7A11 and GPX4 proteins（P<0.05）. Compared with the Erastin group， the cell proliferation in Erastin+AS-Ⅳ group was inhibited， the iron deposition was decreased， the contents of ROS and MDA were decreased， and the expression levels of SLC7A11 and GPX4 proteins were increased（P<0.05， P<0.01）. ConclusionAS-Ⅳ can inhibit ferroptosis by regulating the SLC7A11/GPX4 pathway， so as to weaken the proliferation of VSMCs， thus playing a role in the treatment of atherosclerosis.

ObjectiveTo construct a large language model （LLM）-based intelligent pre-consultation system for traditional Chinese medicine （TCM） to improve efficacy of clinical practice. MethodsA TCM large language model was fine-tuned using DeepSpeed ZeRO-3 distributed training strategy based on YAYI 2-30B. A weighted undirected graph network was designed and an agent-based syndrome differentiation model was established based on relationship data extracted from TCM literature and clinical records. An agent collaboration framework was developed to integrate the TCM LLM with the syndrome differentiation model. Model performance was comprehensively evaluated by Loss function， BLEU-4， and ROUGE-L metrics， through which training convergence， text generation quality， and language understanding capability were assessed. Professional knowledge test sets were developed to evaluate system proficiency in TCM physician licensure content， TCM pharmacist licensure content， TCM symptom terminology recognition， and meridian identification. Clinical tests were conducted to compare the system with attending physicians in terms of diagnostic accuracy， consultation rounds， and consultation duration. ResultsAfter 100 000 iterations， the training loss value was gradually stabilized at about 0.7±0.08， indicating that the TCM-LLM has been trained and has good generalization ability. The TCM-LLM scored 0.38 in BLEU-4 and 0.62 in ROUGE-L， suggesting that its natural language processing ability meets the standard. We obtained 2715 symptom terms， 505 relationships between diseases and syndromes， 1011 relationships between diseases and main symptoms， and 1 303 600 relationships among different symptoms， and constructed the Agent of syndrome differentiation model. The accuracy rates in the simulated tests for TCM practitioners， licensed pharmacists of Chinese materia medica， recognition of TCM symptom terminology， and meridian recognition were 94.09%， 78.00%， 87.50%， and 68.80%， respectively. In clinical tests， the syndrome differentiation accuracy of the system reached 88.33%， with fewer consultation rounds and shorter consultation time compared to the attending physicians （P＜0.01）， suggesting that the system has a certain pre- consultation ability. ConclusionThe LLM-based intelligent TCM pre-diagnosis system could simulate diagnostic thinking of TCM physicians to a certain extent. After understanding the patients' natural language， it collects all the patient's symptom through guided questioning， thereby enhancing the diagnostic and treatment efficiency of physicians as well as the consultation experience of the patients.

OBJECTIVE To establish the fingerprint of Gerbera delavayi and the methods for the content determination of 11 components in G. delavayi. METHODS High-performance liquid chromatography（HPLC）was adopted to establish the fingerprints of 13 batches of G. delavayi（No. S1-S13）， and the similarities were evaluated according to Similarity Evaluation System of Chromatographic Fingerprint of TCM （2012 edition）， while the common peaks were identified. Hierarchical clustering analysis （HCA）， principal component analysis （PCA） and orthogonal partial least square-discriminant analysis （OPLS-DA） were carried out by using SPSS 25.0 software and SIMCA 14.1 software. The contents of neochlorogenic acid， chlorogenic acid， cryptochlorogenic acid， 3，8-dihydroxy-4-methoxy-2-oxo-2H-1-benzopyran-5-carboxylic acid， caffeic acid， 3-hydroxy-4-methoxy-2- oxo-2H-1-benzopyran- 5-carboxylic acid， luteolin-7-O-β-D-glucoside， isochlorogenic acid A， apigenin-7-O-β-D-glucoside， isochlorogenic acid C and xanthotoxin were determined by HPLC. RESULTS The similarities in HPLC fingerprint of 13 batches of G. delavayi were 0.801-0.994； a total of 38 common peaks were identified and 13 common peaks were identified. The results of HCA showed that S1-S5 and S7 were clustered into one group， S6 into one category， S8 into one category， S9 and S11 into one category， S10， S12 and S13 into one category， and the results of PCA were consistent with them. The results of OPLS-DA showed that variable importance values for the projection of peak 7 （chlorogenic acid）， peak 21 （isochlorogenic acid A）， peak 26 （xanthotoxin）， peak 19 （isochlorogenic acid B）， peak 33， peak 13， peak 23 （isochlorogenic acid C）， peak 2 （new chlorogenic acid）， peak 17 （luteolin-7-O-β-D- glucoside） were greater than 1. The above 11 components had good linearity in their respective detection concentration ranges （r was greater than 0.999）. RSDs of precision， repeatability， and stability tests were not more than 2% （n＝6）. The average recovery rates were 92.54%-105.55%， and the RSDs were 0.83%-1.93% （n＝6）. The average contents of 11 components were 0.744， 5.014， 0.646， 0.431， 0.069， 0.582， 0.979， 2.754， 0.157， 1.284 and 2.943 mg/g， respectively. CONCLUSIONS The constructed HPLC fingerprint and content determination methods are simple， accurate and stable， which can provide reference for quality control of G. delavayi. Xanthotoxin， chlorogenic acid， isochlorogenic acid A， luteolin-7-O- β -D-glucoside， isochlorogenic acid C and new chlorogenic acid can be used as markers for G. delavayi.

OBJECTIVE To study the safety of Shuangshu decoction in rats and its efficacy in improving functional dyspepsia （FD） in rats. METHODS In safety test， 40 rats were divided into blank control group， Shuangshu decoction low-dose， medium- dose and high-dose groups [108， 216， 324 g/（kg·d）， calculated by raw medicine， the same applies below]； they were given relevant medicine intragastrically， for continuous 14 days. The mortality and toxic reactions of rats were recorded， and the organ indexes of the liver， kidney， spleen， lung and heart of rats were calculated； the pathological morphological changes in the liver， kidney， spleen， lung， heart， stomach， duodenum， and colon were observed to evaluate the acute toxicity of Shuangshu decoction. Another 40 rats were grouped and administered in the same way for 30 consecutive days. The mortality and toxic reactions of the rats were recorded， and the corresponding organ indexes were calculated. The pathological morphological changes in the corresponding organs were observed， and blood routine and serum biochemical indicators were measured， in order to assess the subacute toxicity of Shuangshu decoction. In pharmacodynamic experiments: 50 rats were divided into blank control group， model group， and Shuangshu decoction low-， medium-， and high-dose groups （9.45， 18.9， 37.8 g/kg）， with 10 rats in each group. Except for blank control group， rats in all other groups were used to establish the FD rat model by subcutaneous injection of loperamide （3.5 mg/kg）. Rats in each group were administered the corresponding drug solution/normal saline intragastrically， once a day， for 14 consecutive days. After the last medication， fecal moisture content， intestinal propulsion rate， gastric emptying rate and serum level of motilin were all detected， and interstitial cell of Cajal （ICC） ultrastructure of rats was observed in colon tissue. RESULTS The safety experiments showed that no death occurred in each dose group， and no significant difference was found in organ coefficient， routine blood and serum biological index， compared to blank control group （P＞0.05）； no abnormality was found in organ appearance and pathological sections. The results of the pharmacodynamic experiments showed that， compared with the blank control group， the fecal moisture content， gastric emptying rate， intestinal propulsion rate， and serum motilin levels in the model group were significantly decreased （P＜0.05）； in the colonic tissue， the mitochondria in the ICC exhibited severe swelling with the disappearance of cristae， and the endoplasmic reticulum was dilated. Compared with model group， the rats in Shuangshu decoction high-dose group showed significant increases in the above quantitative indicators （P＜ 0.05）； additionally， there was a large number of mitochondria in the ICC of the colonic tissue， with clear cristae and regular arrangement. CONCLUSIONS Shuangshu decoction is safe and has a beneficial improving effect on FD rats； its mechanism of action may be related to the regulation of gastrointestinal hormone expression to promote gastric emptying and intestinal propulsion， as well as the repair of mitochondrial structure in ICCs to restore gastrointestinal function.

Energy metabolism reconstruction is the new target of the treatment of heart failure. By combing the researches of Chinese medicinals for energy metabolism reconstruction of heart failure， it was found that Chinese medicinal compound formula and single Chinese medicinal have a certain role in regulating energy metabolism， mainly through three aspects， including the optimization of substrate utilization， improvement of mitochondrial structure， function， and homeostasis， and improvement of mitochondrial energy transport， so as to make the energy metabolism of the cardiomyocyte adjusted in the direction of beneficial to the organism， increasing the supply of energy， and improving the cardiac function.

Fibrosis, the pathological scarring of vital organs, is a severe and often irreversible condition that leads to progressive organ dysfunction. It is particularly pronounced in organs like the liver, kidneys, lungs, and heart. Despite its clinical significance, the full understanding of its etiology and complex pathogenesis remains incomplete, posing substantial challenges to diagnosing, treating, and preventing the progression of fibrosis. Among the various molecular players involved, platelet-derived growth factor-C (PDGF-C) has emerged as a crucial factor in fibrotic diseases, contributing to the pathological transformation of tissues in several key organs. PDGF-C is a member of the PDGFs family of growth factors and is synthesized and secreted by various cell types, including fibroblasts, smooth muscle cells, and endothelial cells. It acts through both autocrine and paracrine mechanisms, exerting its biological effects by binding to and activating the PDGF receptors (PDGFRs), specifically PDGFRα and PDGFRβ. This binding triggers multiple intracellular signaling pathways, such as JAK/STAT, PI3K/AKT and Ras-MAPK pathways. which are integral to the regulation of cell proliferation, survival, migration, and fibrosis. Notably, PDGF-C has been shown to promote the proliferation and migration of fibroblasts, key effector cells in the fibrotic process, thus accelerating the accumulation of extracellular matrix components and the formation of fibrotic tissue. Numerous studies have documented an upregulation of PDGF-C expression in various fibrotic diseases, suggesting its significant role in the initiation and progression of fibrosis. For instance, in liver fibrosis, PDGF-C stimulates hepatic stellate cell activation, contributing to the excessive deposition of collagen and other extracellular matrix proteins. Similarly, in pulmonary fibrosis, PDGF-C enhances the migration of fibroblasts into the damaged areas of lungs, thereby worsening the pathological process. Such findings highlight the pivotal role of PDGF-C in fibrotic diseases and underscore its potential as a therapeutic target for these conditions. Given its central role in the pathogenesis of fibrosis, PDGF-C has become an attractive target for therapeutic intervention. Several studies have focused on developing inhibitors that block the PDGF-C/PDGFR signaling pathway. These inhibitors aim to reduce fibroblast activation, prevent the excessive accumulation of extracellular matrix components, and halt the progression of fibrosis. Preclinical studies have demonstrated the efficacy of such inhibitors in animal models of liver, kidney, and lung fibrosis, with promising results in reducing fibrotic lesions and improving organ function. Furthermore, several clinical inhibitors, such as Olaratumab and Seralutinib, are ongoing to assess the safety and efficacy of these inhibitors in human patients, offering hope for novel therapeutic options in the treatment of fibrotic diseases. In conclusion, PDGF-C plays a critical role in the development and progression of fibrosis in vital organs. Its ability to regulate fibroblast activity and influence key signaling pathways makes it a promising target for therapeutic strategies aiming at combating fibrosis. Ongoing research into the regulation of PDGF-C expression and the development of PDGF-C/PDGFR inhibitors holds the potential to offer new insights and approaches for the diagnosis, treatment, and prevention of fibrotic diseases. Ultimately, these efforts may lead to the development of more effective and targeted therapies that can mitigate the impact of fibrosis and improve patient outcomes.

Objective: To explore the association between negative life events and smartphone addiction among middle school students, so as to provide theoretical support and practical guidance for prevention and intervention of smartphone addiction among middle school students. Methods: Using cluster sampling, 8 890 students were selected to survey from 27 junior high schools and 3 senior high schools in a district of Shenzhen in 2022 (baseline) and 2023 (followup). Data were collected through selfresigned questionnaires on basic information, the Smartphone Addiction Scale-Short Version, and the Adolescent Selfrating Life Events Checklist. Mixedeffects models were employed to analyze the association. Results: Compared to 2022, the punishment scores of middle school students in 2023 [1.00 (0.00, 6.00) and 1.00 (0.00, 6.00)] decreased (Z=4.27), while the scores of interpersonal stress, learning stress and adaptation [4.00(0.00, 8.00), 4.00(0.00, 8.00); 4.00(1.00, 8.00), 5.00(2.00, 9.00); 2.00 (0.00, 6.00), 3.00 (0.00, 7.00)] increased (Z=-3.04, -8.36, -6.80) (P<0.01). Mixedeffects models revealed a positive doseresponse relationship between negative life events and smartphone addiction (OR=1.08-1.17, P<0.01). Stepwise regression showed independent positive effects of interpersonal stress (OR=1.05), academic stress (OR=1.03), and adaptation stress (OR=1.11) on smartphone addiction (P<0.01). Subgroup analysis of nonaddicted students in 2022 confirmed persistent associations for academic stress (OR=1.03) and adaptation (OR=1.07) (P<0.01). Conclusion Negative life events exhibit a positive doseresponse relationship with smartphone addiction, particularly interpersonal stress, academic stress, and adaptationrelated events.

Objective: To explore the longitudinal association between only-child status and smartphone addiction among middle school students, so as to provide a basis for establishing family intervention measures for smartphone addiction in middle school students. Methods: In October 2022 and October 2023, a preliminary survey and follow-up were conducted among 8 759 middle and high school students from 30 schools in a district of Shenzhen. A self-designed questionnaire was used to determine whether the students were the only-child, and the Chinese Version of the Smartphone Addiction Scale-Short Version (C-SAS-SV) was utilized to assess the students smartphone addiction status. A multilevel mixed-effects model and subgroup analysis were applied to examine the association between only-child status and smartphone addiction among middle school students. Results: During 2022 to 2023, the prevalence of smartphone addiction in the cohort of middle school students increased from 24.1% to 25.2%. Compared with only-child, non-only child were more likely to be addicted to smartphones (adjusted model: OR =1.2, 95% CI =1.1-1.4) and also scored higher on smartphone addiction (adjusted model: β =0.9, 95% CI =0.2-1.5)( P <0.05). Subgroup analysis further revealed that compared to baseline, non-only child demonstrated an increased prevalence of smartphone addiction (adjusted model: OR = 1.2 , 95% CI =1.0-1.5) and higher addiction scores (adjusted model: β =0.8, 95% CI =0.2-1.5) after one year( P <0.05). Conclusions Non-only child face higher risk of smartphone addiction. Under the current population policy, it is crucial to address smartphone addiction among middle school students who is not only child.

Objective: To explore the potential causal association between adolescent compulsive behaviour and smartphone addiction based on longitudinal data, so as to provide reference for the establishment of adolescent smartphone addiction interventions. Methods: A preliminary survey and follow-up were conducted on 8 907 middle and high school students in a district of Shenzhen in 2022 and 2023, respectively. Compulsive behaviours were measured by using the Mental Health Inventory for Middle School Students-60 Items (MMHI-60), smartphone addiction was assessed by using the Smartphone Addiction Scale-Short Version ( SAS- SV), and the associations between compulsive behaviours and smartphone addiction were analysed by using multilevel mixed-effects models and subgroup analyses. Results: Smartphone addiction detection rates among middle school students were significantly associated with genders, father s education level, mother s education level, study load subgroups, and whether or not they were single-parent families, and there were statistical differences ( χ 2=17.21-175.34, P <0.05). Students with compulsive behaviours were 2.98 times more likely to develop smartphone addiction than those without compulsive behaviours ( OR=2.98, 95%CI=2.77-3.22, P <0.05). Subgroup analysis of middle school students without smartphone addiction in the first year found that compulsive behaviours significantly predicted smartphone addiction ( OR= 1.76 , 95%CI=1.54-2.01, P <0.05). Conclusion There is a potential causal association between obsessive-compulsive behaviours and smartphone addiction in middle school students, and obsessive-compulsive behaviours in middle school students could significantly predicted the occurrence of smartphone addiction.