ObjectiveTo investigate the effect of nicotinamide adenine dinucleotide on vascular endothelial injury in hypertension and its molecular mechanism. MethodsC57BL/6J mice were randomly divided into saline group （Saline） and hypertension group （Ang Ⅱ， which were infused with Ang Ⅱ via subcutaneously implanted osmotic pumps）， and supplemented daily with nicotinamide mononucleotide （300 mg/kg）， a precursor of NAD⁺. Blood pressure， endothelial relaxation function and pulse wave velocity were measured after 4 weeks. Wound healing assay and adhesion assay were used to evaluate the function of endothelial cells in vitro. mtROS levels were detected by immunofluorescence staining. RT-PCR was used to detect the mRNA expression of mtDNA， SIRT3 and isocitrate dehydrogenase 2 （IDH2）. 8-hydroxy-2'-deoxyguanosine levels were detected by enzyme-linked immunosorbent assay. The protein expression levels of p-eNOS， eNOS， SIRT3 and IDH2 were detected by Western blot. ResultsNMN supplementation reduced blood pressure （P<0.001） and improved endothelial function and arterial stiffness （P<0.001） in hypertensive mice. In vitro， NMN improved endothelial function in AngII-stimulated endothelial cells （P<0.05） and attenuated mitochondrial oxidative stress levels （P<0.001）. Mechanistically， NMN elevated SIRT3 activity （P<0.001）， which subsequently enhanced IDH activity （P<0.001） and reduced oxidative stress levels in endothelial cells. Conversely， knockdown of IDH2 would reverse the effect of SIRT3 in improving endothelial function （P<0.001）. ConclusionNAD⁺ lowers blood pressure and enhances vascular function in hypertension by reducing the level of oxidative stress in endothelial cells through activation of the SIRT3/IDH2 signal pathway.

Cognitive impairment （CI） is a clinical syndrome characterized by progressive decline in advanced cognitive functions such as memory， thinking， and judgment. Its etiology and pathogenesis are complex， and there is currently a lack of specific drug interventions. Metformin， as a first-line hypoglycemic drug for type 2 diabetes， not only lowers blood glucose levels but also improves CI. This article reviews and summarizes the pharmacological effects and mechanisms of metformin in improving Alzheimer’s disease， diabetes cognitive impairment， cognitive impairment after chemotherapy， in order to provide novel insights and approaches for the treatment of CI-related diseases. Studies have shown that the mechanism by which MET intervenes in CI mainly includes regulating β-amyloid protein and tau protein metabolism， reducing insulin resistance， inhibiting neuroinflammation， improving synaptic plasticity， improving mitochondrial dysfunction， regulating gut microbiota and lipid metabolism， etc. Future research needs to be conducted through interdisciplinary collaboration， fully integrating multiple omics data， and combining advanced technologies to further reveal their mechanisms of effect.

BackgroundSchizophrenia is a highly heterogeneous disease with different clinical subtypes. Artificial intelligence technology represented by deep learning models has provided considerable benefits for the electroencephalogram （EEG）-based schizophrenia diagnosis， treatment and research， however， to date little research has been conducted regarding any of these benefits among Chinese schizophrenic patients. ObjectiveTo investigate the application of deep learning techniques utilizing EEG parameters for the diagnosis of first-episode schizophrenia and grading of EEG abnormalities in patients， with the aim of contributing to improved clinical diagnosis and treatment strategies for the disorder. MethodsFrom January 2020 to January 2023， a total of 130 patients with first-episode schizophrenia who met the diagnostic criteria of International Classification of Diseases， tenth edition （ICD-10）， and attended at the Third People's Hospital of Fuyang， along with 150 health checkup examinees， were enrolled. All of them underwent EEG examination. An optimized long short-term memory （LSTM） deep learning model was developed utilizing EEG signals. Ten-fold cross-validation method was employed to evaluate the model's performance. The dataset was then split into two components： a training set （90%） for LSTM model development and a test set （10%） for validation. The accuracy， recall rate， precision， F1-score， schizophrenia diagnosis and EEG abnormality grading were used as evaluation indicators， and the results of the proposed model were compared to the assessments made by experienced psychiatrists. ResultsFor schizophrenia diagnosis， the modeling group achieved the following performance metrics： precision （94.40±3.03）%， recall rate （94.30±3.23）%， accuracy （94.60±2.22）%， and F1-score （94.20±2.20）%. In the validation group， the corresponding metrics were precision （90.90±2.85）%， recall rate （92.20±1.14）%， accuracy （92.20±1.69）%， and F1-score （91.50±1.78）%. Statistical analysis revealed no significant differences between the LSTM diagnostic model and the experienced psychiatrists in terms of precision， recall rate， accuracy， and F1-score for schizophrenia diagnosis （χ²=1.500， 0.750， 2.722， 1.056， P>0.05）. The modeling group demonstrated an accuracy rate of （91.71±1.73）% in grading EEG abnormalities. For Grade 1 abnormalities， the modeling group reported a precision of （96.40±2.39）%， a recall rate of （94.77±1.40）%， and an F1-score of （95.55±1.14）%. In the case of Grade 2 abnormalities， the precision was （85.89±2.04）%， the recall rate was （88.10±6.18）%， and the F1-score was （87.06±3.12）%. For the more severe Grade 3 abnormalities， the modeling group's precision was （79.61±7.33）%， the recall rate was （81.79±9.87）%， and the F1-score was （80.41±6.79）%. Additionally， the validation group exhibited an accuracy rate of （85.61±6.16）%. The precision， recall rate， and F1-score for Grade 1 abnormalities were （91.43±6.25）%， （92.64±9.65）% and （91.56±4.83）%， respectively. For Grade 2 abnormalities， these metrics were （71.17±19.02）%， （77.64±17.24）% and （71.88±11.33）%. In the case of Grade 3 abnormalities， the precision was （90.00±21.08）%， the recall rate was （80.00±25.82）%， and the F1-score was （81.67±19.95）%. There was no significant difference in the accuracy， recall， accuracy and F1 value between LSTM model and senior doctors in evaluating the abnormal degree of EEG in schizophrenia （χ²=0.098， 0.036， 0.020， 0.336， P>0.05）. The LSTM model takes less time to diagnose schizophrenia and EEG abnormalities than senior doctors， and the differences were statistically significant （t=57.147， 43.104， P<0.01）. ConclusionThe study utilizes an EEG-based LSTM deep learning model for diagnosing first-episode schizophrenia and grading EEG abnormalities， and the model not only matches the performance of experienced psychiatrists but also significantly reduces the time required for diagnosis.

OBJECTIVE To promote the application of drones in emergency rescue and related fields， expand “low-altitude+ medical” rescue services， and advance the standardization of “low-altitude+medical” distribution services. METHODS The Consensus on Low-altitude Transport and Delivery Services for Emergency Medicines via Drones （2025 Edition） （hereinafter referred to as the Consensus） was jointly initiated by the Division of Therapeutic Drug Monitoring， Chinese Pharmacological Society and the Expert Committee on Precision Medication of the Guangdong Pharmaceutical Association. Guangzhou Red Cross Hospital served as the leading unit， organizing 53 multidisciplinary experts nationwide to participate in drafting and reviewing. A nominal group technique was employed to discuss and finalize the consensus outline， resulting in a preliminary draft. Delphi method was employed， and 11 external review experts were invited to conduct the evaluation. After the experts’ opinions were analyzed and integrated， the Consensus was finalized. RESULTS & CONCLUSIONS The finalized Consensus includes its purpose， principles， and applicable scenarios， basic requirements， and operational procedures for low-altitude transport and delivery of emergency medications； distribution requirements and precautions for controlled substances， fragile medications， and temperature-sensitive medications； and recommendations for emergency medications supplies suitable for the low-altitude transportation and distribution. The release of this Consensus is expected to provide guidance and support for the standardization of “low-altitude+medical” distribution services and the application of low-altitude economy in the healthcare sector.

OBJECTIVE To investigate the efficacy and safety of the interleukin-1 （IL-1） receptor antagonist anakinra in the treatment of refractory adult onset Still’s disease （AOSD）， and provide more real-world evidence and practical experience for the treatment of AOSD with this drug. METHODS A retrospective analysis was conducted on the diagnosis and treatment process of a patient with AOSD complicated with dermatomyositis who received anakinra； systematically searched for relevant literature on the treatment of AOSD with anakinra in Chinese and English databases such as CNKI， PubMed， Medline， etc.， and conduct literature review on its efficacy and safety. RESULTS The patient in this case had poor treatment with multiple traditional drugs and was considered to have AOSD combined with dermatomyositis. After being admitted to the hospital and treated with a combination therapy of anakinra and glucocorticoids for several days， the patient’s clinical symptoms and inflammatory indicators significantly improved， and no serious adverse drug reactions occurred. Pharmacists designed specialized pharmaceutical monitoring pathways and conduct regular follow-up after discharge. After discharge， the patient took medication regularly， and the condition was maintained and relieved； during this period， there was redness and swelling at the injection site which resolved on its own without any other obvious discomfort. Literature review showed that anakinra could increase the response rate and remission rate of AOSD patients， and significantly reduce the dosage of glucocorticoids； adverse events were mainly injection site reactions， with a low overall risk of infection and good safety； however， there was a significant difference in the treatment course， and there was currently no unified plan. CONCLUSIONS Anakinra is an efficient and safe biological agent for treating AOSD， which can rapidly induce and maintain disease remission. For AOSD patients， clinical consideration may be given to using IL-1 antagonists to reduce glucocorticoid dependence， while strengthening long-term medication monitoring.

Cognitive impairment is a major public health challenge facing global aging societies， and currently lacks effective treatment measures. Herb pair， characterized by their rigorous compatibility and synergistic effects， demonstrate unique advantages in clinical practice. Acorus tatarinowii-Polygala tenuifolia is a classic herbal pair for treating cognitive impairment， widely utilized in various traditional Chinese medicine formulations， such as Kaixin san， Shenghui tang， and Yuanzhi san. This article summarizes the pharmacological mechanisms of A. tatarinowii， P. tenuifolia and their compatible compound prescriptions in ameliorating cognitive impairment. It is found that they can exert effects in ameliorating cognitive impairment through mechanisms such as reducing amyloid β-protein deposition and inhibiting excessive phosphorylation of Tau protein， suppressing inflammatory responses， alleviating oxidative stress， protecting neurons and regulating neurotransmitters， modulating the structure and function of the blood- brain barrier， and regulating autophagy. Subsequently， in-depth analysis can be conducted on the active ingredients of A. tatarinowii- P. tenuifolia herb pair that ameliorate cognitive impairment， along with the addition of relevant clinical trials for verification. This will provide theoretical foundations and research approaches for the treatment of cognitive impairment using traditional Chinese medicine.

Objective:To discuss the clinical efficacy of treating lumbar muscle strain(LMS)with Tuina(Chinese therapeutic massage)plus Chinese medication hot compress. Methods:A total of 147 LMS patients were randomized into a Tuina group,a Chinese medication hot compress group,and a combined group,each consisting of 49 cases.The Tuina group received Tuina treatment;the Chinese medication hot compress group received Chinese medication hot compress treatment;and the combined group received the forementioned two therapies alternately.The three groups of patients were assessed using the visual analog scale(VAS)and Oswestry disability index(ODI)before treatment and after 2 weeks of treatment.A 2-month follow-up was also conducted to observe the relapse rate. Results:The VAS and ODI scores dropped significantly after treatment in all three groups compared with their baseline(P<0.05),and the combined group surpassed the other two groups in comparing the ODI score(P<0.05).The 2-month follow-up showed that the combined group had the lowest relapse rate among the three groups(P<0.05). Conclusion:Compared to each therapy used alone,Tuina plus Chinese medication hot compress can relieve pain,improve daily living function,and reduce the short-term relapse rate better in treating LMS patients.

Objective:To observe the clinical efficacy of neck Gongfa exercise in intervening people at high risk for cervical spondylosis. Methods:A total of 212 participants from 8 companies at high risk for cervical spondylosis were divided into two groups using the random number table method,with 105 participants in the control group receiving health education and 107 participants in the trial group receiving an additional neck Gongfa exercise.After successive 3-month interventions,the two groups were compared in terms of cervical soft tissue tension and neck disability index(NDI)score.The incidence of cervical spondylosis was observed 3 months later. Results:During the process,10 cases dropped out in the trial group,and the control group had 9 dropout cases.After the intervention,the cervical soft tissue tension value and NDI score improved in both groups(P<0.05)and showed significant differences between the two groups(P<0.05).At the 3-month follow-up,the trial group had a lower incidence rate of cervical spondylosis than the control group(P<0.05). Conclusion:For people at high risk for cervical spondylosis,neck Gongfa exercise can effectively improve cervical soft tissue tension and motor dysfunction and lower the incidence of cervical spondylosis in the short run.

Objective:To investigate diagnostic and prognostic value of actin-binding protein ANLN in clear cell renal cell carcinoma(ccRCC)and its relationship with tumor microenvironment.Methods:Gene expression data and clinical data for ccRCC were downloaded from The Cancer Genome Atlas(TCGA).Relationship between ANLN expression and clinicopathological features was assessed by Wilcoxon rank sum test and Logistic regression.Receiver operating characteristic(ROC)curve was used to assess diagnostic value of ANLN expression in ccRCC.Kaplan-Meier and Cox regression analysis were used to investigate effect of ANLN expression on overall survival.Gene set enrichment analysis(GSEA)was used to identify signaling pathways associated with ANLN in ccRCC.Relationship between ANLN expression and immune infiltration was analyzed by ESTIMATE algorithm,tumor immune estima-tion resource(TIMER)and CIBERSORT algorithms.Relationship between ANLN and drug sensitivity was calculated using CellMiner database.Results:ANLN expression was significantly upregulated in ccRCC tissues.ANLN expression in ccRCC was correlated with clinicopathological features.ROC analysis showed that ANLN had a high diagnostic value in ccRCC.High ANLN expression was signifi-cantly associated with poor prognosis.Multivariate Cox regression analysis showed that high ANLN expression was an independent risk factor for overall survival in ccRCC patients.GSEA showed that ANLN was associated with multiple signaling pathways.In terms of immunity,ANLN was closely associated with tumor microenvironment,immune infiltration and immune checkpoint molecules in ccRCC.ANLN expression was negatively correlated with sensitivity of most antitumor drugs.Conclusion:ANLN is a potential diagnos-tic and prognostic biomarker and immunotherapeutic target for ccRCC.

Mitochondria-associated membranes(MAMs)are a subcellular compartment involved in the communication and material exchange between the mitochondrial outer membrane and endoplasmic reticulum membrane.MAMs perform various biological processes in cells under different conditions.MAM-dysfunction-mediated calcium homeostasis imbalance,endoplasmic reticulum stress,mitophagy defects,mitochondrial fission/fusion dynamics imbalance,lipid metabolism disorders,and inflammatory responses are key pathogenic factors in Alzheimer's disease(AD).This article reviews the structure and function of MAMs,their involvement in AD pathology,and drug intervention targets,and discusses the role of MAMs in the pathogenesis of AD and the latest research into their mechanisms,to provide new ideas for the prevention and treatment of AD.