ObjectiveTo analyze the long-term trend of incidence and mortality of type 2 diabetic kidney disease （DKD） in China from 1990 to 2021. MethodsThe Joinpoint regression model was used to analyze the average annual percentage change （AAPC） of standardized incidence rate and standardized mortality rate， and the age-period-cohort （APC） model was constructed to analyze the longitudinal age change， period and cohort effect risk ratio （RR）. ResultsFrom 1990 to 2021， the standardized incidence rate of type 2 DKD in males and females showed an overall upward trend， with AAPC of 0.08% and 0.36%， respectively. The age-standardized mortality rate of the total population and female showed a downward trend， with AAPC of -0.61% and -1.03%， respectively. However， there was no significant difference in males. APC model showed that the age effect existed： the peak age was 75-79 years old， the mortality rate of females increased， and the mortality rate of males decreased after 80-84 years old. For the effect of time period， the risk of type 2 DKD incidence in females in 2017—2021 was 1.05 times that in 2002—2006， and the risk of death in males and females in 2017—2021 was 0.84 and 0.71 times that in 2002—2006， respectively. For cohort effects， the highest risk of disease was seen in men and women born in 1967—1971， and the highest risk of death was seen in men born in 1952—1956 and women born in 1912—1916. ConclusionFrom 1990 to 2021， the standardized incidence rate of type 2 DKD in China shows an upward trend， and the standardized mortality rate shows a downward trend. It is necessary to strengthen the health behavior publicity and education of type 2 DKD， and actively carry out early screening to reduce the disease burden.

ObjectiveFunctional near-infrared spectroscopy (fNIRS), a novel non-invasive technique for monitoring cerebral activity, can be integrated with upper limb rehabilitation robots to facilitate the real-time assessment of neurological rehabilitation outcomes. The rehabilitation robot is designed with 3 training modes: passive, active, and resistance. Among these, the resistance mode has been demonstrated to yield superior rehabilitative outcomes for patients with a certain level of muscle strength. The control modes in the resistance mode can be categorized into dynamic and static control. However, the effects of different control modes in the resistance mode on the motor function of patients with upper limb hemiplegia in stroke remain unclear. Furthermore, the effects of force, an important parameter of different control modes, on the activation of brain regions have rarely been reported. This study investigates the effects of dynamic and static resistance modes under varying resistance levels on cerebral functional alterations during motor rehabilitation in post-stroke patients. MethodsA cohort of 20 stroke patients with upper limb dysfunction was enrolled in the study, completing preparatory adaptive training followed by 3 intensity-level tasks across 2 motor paradigms. The bilateral prefrontal cortices (PFC), bilateral primary motor cortices (M1), bilateral primary somatosensory cortices (S1), and bilateral premotor and supplementary motor cortices (PM) were examined in both the resting and motor training states. The lateralization index (LI), phase locking value (PLV), network metrics were employed to examine cortical activation patterns and topological properties of brain connectivity. ResultsThe data indicated that both dynamic and static modes resulted in significantly greater activation of the contralateral M1 area and the ipsilateral PM area when compared to the resting state. The static patterns demonstrated a more pronounced activation in the contralateral M1 in comparison to the dynamic patterns. The results of brain network analysis revealed significant differences between the dynamic and resting states in the contralateral PFC area and contralateral M1 area (F=4.709, P=0.038), as well as in the contralateral PM area and ipsilateral M1 area (F=4.218, P=0.049). Moreover, the findings indicated a positive correlation between the activation of the M1 region and the increase in force in the dynamic mode, which was reversed in the static mode. ConclusionBoth dynamic and static resistance training modes have been demonstrated to activate the corresponding brain functional regions. Dynamic resistance modes elicit greater oxygen changes and connectivity to the region of interest (ROI) than static resistance modes. Furthermore, the effects of increasing force differ between the two modes. In patients who have suffered a stroke, dynamic modes may have a more pronounced effect on the activation of exercise-related functional brain regions.

Medical institutions, with their clinical practice foundation and abundant human use experience data, have become important carriers for the inheritance and innovation of traditional Chinese medicine(TCM) and the "cradles" of the preparation of new TCM. To effectively promote the transformation of new TCM originating from the TCM clinical practice in medical institutions and establish an effective evaluation index system for the transformation of new TCM conforming to the characteristics of TCM, consensus experts adopted the literature research, questionnaire survey, Delphi method, etc. By focusing on the policy and technical evaluation of new TCM originating from the TCM clinical practice in medical institutions, a comprehensive evaluation from the dimensions of drug safety, efficacy, feasibility, and characteristic advantages was conducted, thus forming a comprehensive evaluation system with four primary indicators and 37 secondary indicators. The expert consensus reached aims to encourage medical institutions at all levels to continuously improve the high-quality research and development and transformation of new TCM originating from the TCM clinical practice in medical institutions and targeted at clinical needs, so as to provide a decision-making basis for the preparation, selection, cultivation, and transformation of new TCM for medical institutions, improve the development efficiency of new TCM, and precisely respond to the public medication needs.
Medicine, Chinese Traditional/standards* ; Humans ; Consensus ; Drugs, Chinese Herbal/therapeutic use* ; Surveys and Questionnaires

Diabetic cardiomyopathy (DCM) is a medical condition characterized by cardiac remodeling and dysfunction in individuals with diabetes mellitus. Sarcoplasmic reticulum (SR) and mitochondrial Ca²⁺ overload in cardiomyocytes have been recognized as biological hallmarks in DCM; however, the specific factors underlying these abnormalities remain largely unknown. In this study, we aimed to investigate the role of a cardiac-specific long noncoding RNA, D830005E20Rik (Trdn-as), in DCM. Our results revealed the remarkably upregulation of Trdn-as in the hearts of the DCM mice and cardiomyocytes treated with high glucose (HG). Knocking down Trdn-as in cardiac tissues significantly improved cardiac dysfunction and remodeling in the DCM mice. Conversely, Trdn-as overexpression resulted in cardiac damage resembling that observed in the DCM mice. At the cellular level, Trdn-as induced Ca²⁺ overload in the SR and mitochondria, leading to mitochondrial dysfunction. RNA-seq and bioinformatics analyses identified calsequestrin 2 (Casq2), a primary calcium-binding protein in the junctional SR, as a potential target of Trdn-as. Further investigations revealed that Trdn-as facilitated the recruitment of METTL14 to the Casq2 mRNA, thereby enhancing the m⁶A modification of Casq2. This modification increased the stability of Casq2 mRNA and subsequently led to increased protein expression. When Casq2 was knocked down, the promoting effects of Trdn-as on Ca²⁺ overload and mitochondrial damage were mitigated. These findings provide valuable insights into the pathogenesis of DCM and suggest Trdn-as as a potential therapeutic target for this condition.
Animals ; Diabetic Cardiomyopathies/pathology* ; RNA, Long Noncoding/genetics* ; Myocytes, Cardiac/metabolism* ; Mice ; Calsequestrin/genetics* ; Calcium/metabolism* ; Male ; Sarcoplasmic Reticulum/metabolism* ; Methyltransferases/metabolism* ; Mice, Inbred C57BL ; Mitochondria, Heart/metabolism* ; Disease Models, Animal ; Mitochondria/metabolism*

In recent years,significant breakthroughs have been achieved in the immunotherapy for Alzheimer's disease.In line with global advancements,two anti-amyloid-β monoclonal antibodies have been approved and successfully launched in China for clinical use.Lecanemab and Donanemab were officially used in June 2024 and April 2025 in China,respectively.In order to standardize the rational and safe application of anti-amyloid-β monoclonal antibodies for Alzheimer's disease in China,this article integrates recom-mendations from the clinical trials and real-world experience from the author's team and domestic peers to further update the recom-mendations for the clinical use of anti-amyloid-β monoclonal antibody based on the 2024 version.It includes indications for therapy,pre-treatment evaluation and preparation,administration protocols and safety measures during treatment,and post-treatment monitor-ing strategies.

Objective To analyze and preliminarily verify key genes and pathways in the transcriptome of peripheral blood of lung adenocarcinoma patients with metastasis bone pain(MBP),and to explore its underlying mechanism.Methods Nine lung adenocarcinoma patients with bone metastasis treated in the First Affiliated Hospital of Sun Yat-sen University from May 2020 to May 2021 were selected for retrospective analysis,including 4 patients with typical MBP clinical manifestations and visual analogue scale(VAS)≥4(MBP group)and 5 patients without suffering any pain(control group).Peripheral blood mRNA sequencing was performed to identify differentially expressed genes(DEGs),followed by functional pathways analysis and protein-protein interaction(PPI)network analysis.The most significant modules and hub genes were confirmed and visualized using Cytoscape software.The target miRNAs regulating these hub genes were predicted using Targetscan database,and long non-coding RNA(lncRNA)interacting with these miRNAs were also predicted using lncBase database.The relationships among lncRNA,miRNA and mRNA were visualized to construct a competing endogenous RNA(ceRNA)network through Cytoscape software,and the nodes of this network were verified using quantitative PCR(qPCR).Results A total of 1466 DEGs were identified,including 666 up-regulated genes and 800 down-regulated genes.Chemokine receptor 3(CXCR3),pro-opiomelanocortin(POMC),neuromedin U receptor 1(NMUR1),chemokine ligand 2(CCL2)and endocannabinoid receptor 1(CNR1)were identified as hub genes.The most significant enriched processes and pathways of DEGs included osteoclast differentiation,NOD like receptor signal transduction pathway,type Ⅰinterferon signal pathway,nuclear factor kappa-B(NF-κB)signal pathway,apoptosis/autophagy pathway,chemokine signal pathway,interleukin(IL)-1β pathway.Two ceRNA networks were identified:MALAT1-hsa-miR-124-3p.2-CCL2 and NEAT1-hsa-miR-325-3p-CXCR3.qPCR results showed that the expression levels of CCL2,CXCR3,MALAT1,NEAT1 and hsa-miR-325 were higher in MBP group than these in control group(P<0.05).Conclusions CXCR3,POMC,NMUR1,CCL2 and CNR1 may serve as key genes in the occurrence of MBP and could be important regulatory targets for MBP.The development of MBP in lung adenocarcinoma may be associated with the dysregulation of the networks:MALAT1-hsa-miR-124-3p.2-CCL2 and NEAT1-hsa-miR-325-3p-CXCR3.

Objective To investigate the clinical characteristics of patients with clinical and subclinical Cushing's syndrome caused by primary bilateral macronodular adrenal hyperplasia(PBMAH).Methods A retrospective analysis was performed on the clinical data of 198 patients with Cushing's syndrome caused by PBMAH diagnosed in the First Medical Center of Chinese PLA General Hospital from January 2004 to October 2024.According to clinical manifestations,the patients were classified into clinical type Cushing's syndrome(n=61)and subclinical type Cushing's syndrome(n=137),and the clinical characteristics of the two types were compared.Results The mean age at diagnosis of patients with PBMAH-induced Cushing's syndrome was(53.5±10.4)years,including 118 males and 80 females,with a male-to-female ratio of 1.475:1.Compared with the subclinical type,the clinical type had a higher proportion of females,higher levels of serum cortisol,24-hour urine free cortisol(24 h UFC),and inhibited serum cortisol after low-dose dexamethasone suppression.Additionally,the clinical type had lower plasma ACTH,larger adrenal nodules and a higher risk of surgery(P<0.05)compared with those in subclinical type.The incidences of hypertension,dyslipidemia,obesity,diabetes mellitus,hypokalemia,vitamin D deficiency,osteoporosis,coronary heart disease,and cerebrovascular disease in patients with Cushing's syndrome caused by PBMAH were 87.9%,50.5%,37.1%,36.9%,27.8%,25.9%,18.7%,18.7%and 12.1%,respectively.Among them,compared with subclinical type patients,clinical type patients had higher incidence of hypokalaemia,vitamin D deficiency and osteoporosis(P<0.05),while there were no statistically significant differences in the incidences of other comorbidities between the two types(P>0.05).The results of postoperative follow-up for PBMAH patients showed that the short-term biochemical remission rate of unilateral total adrenalectomy was 41.5%(22/53)and the long-term biochemical remission rate was 32.0%(8/25).The short-term biochemical remission rate of unilateral partial(or nodular)adrenalectomy was 52.9%(9/17),and the long-term biochemical remission rate was 14.3%(1/7).All patients who underwent unilateral total adrenalectomy plus contralateral partial resection developed adrenal insufficiency(3/3),and 1 patient(1/3)relapsed 3.4 years after surgery.Conclusion Clinical and subclinical types of Cushing's syndrome caused by PBMAH have their distinct clinical characteristics.Surgery is an effective treatment for PBMAH,but a certain proportion of patients fail to achieve biochemical remission after non-bilateral total adrenalectomy.

Objective To explore the therapeutic mechanism of Euonymus alatus for diabetic kidney disease(DKD).Methods TCMSP,PubChem and Swiss Target Prediction databases were used to obtain the active ingredients in Euonymus alatus and their targets.GEO database and R language were used to analyze the differentially expressed genes in DKD.The therapeutic targets of DKD were obtained using GeneCards,DisGeNet,OMIM and TTD databases.The protein-protein interaction network and the"drug-component-target-disease"network were constructed for analyzing the topological properties of the core targets,which were functionally annotated using GO and KEGG pathway enrichment analyses.Molecular docking was performed for the core targets and the main pharmacologically active components,and the results were verified in db/db mice.Results Analysis of GSE96804,GSE30528 and GSE30529 datasets(including 60 DKD patients and 45 normal samples)identified 111 differentially expressed genes in DKD.Network pharmacology analysis obtained 161 intersecting genes between the target genes of Euonymus alatus and DKD,including the key core target genes SRC,EGFR,and AKT1.The core active ingredients of Euonymus alatus were quercetin,kaempferol,diosmetin,and naringenin,which were associated with responses to xenobiotic stimulionus and protein phosphorylation and regulated EGFR tyrosine kinase inhibitor resistance pathways.Molecular docking suggested good binding activities of the core active components of Euonymus alatus with the core targets.In db/db mouse models of DKD,treatment with Euonymus alatus obviously ameliorated kidney pathologies,significantly inhibited renal expressions of SRC,EGFR and AKT1,and delayed the progression of DKD.Conclusion Euonymus alatus contains multiple active ingredients such as quercetin,kakaferol,diosmetin,naringenin,which regulate the expressions of SRC,EGFR,and AKT1 to affect the EGFR tyrosine kinase inhibitor resistance signaling pathway to delay the progression of DKD.

AIM: To explore the current status, research hotspots, and trends of global uveitis research to provide a theoretical basis and references for researchers in the field of uveitis, and promote further development in this area.METHODS: Relevant literatures on uveitis were retrieved from the China National Knowledge Infrastructure(CNKI)database, Wanfang database, and Web of Science core collection database since their establishment until 24 August 2023. The country/publishing institutions, research authors, high-frequency keywords, and burst keywords were visual analyzed by using software such as GraphPad Prism 9, CiteSpace 6.2. R2, and VOSviewer.RESULTS: Research teams for uveitis have been formed in various countries globally. The top three countries in terms of publications are the United States of America(7 585 papers), the United Kingdom(2 412 papers)and Germany(1 679 papers). The top three foreign institutions in terms of publications are Harvard University, Oregon Health & Science University, and Moorfields Eye Hospital, while the top three domestic institutions are Affiliated Eye Hospital of Shandong University of Traditional Chinese Medicine, Chongqing Medical University, and Zhongshan Ophthalmic Center, Sun Yat-sen University. The analysis of high-frequency keywords and burst keywords in Chinese and English shows that research hotspots mainly focus on exploring pathogenesis and different treatment methods for uveitis. The research hotspots related to uveitis treatment are transitioning to molecular biology-related research topics, such as molecular biological signaling pathways(NF-κB signaling pathway with a strength value of 22.89), biological agents(adalimumab with a strength value of 32.21), and tumor necrosis factor(with a strength value of 48.44). Related research is also expanding to basic experiments on relevant rats.CONCLUSIONS: In recent years, the research hotspots and trends of global uveitis mainly focus on precise diagnosis, pathogenesis, and more effective treatment methods. It is important for more scholars to dedicate themselves to uveitis-related research in the future to make breakthroughs and progress in the field. More large-scale and multicenter clinical studies on uveitis can provide high-quality research evidence.

Objective To explore the therapeutic mechanism of Euonymus alatus for diabetic kidney disease(DKD).Methods TCMSP,PubChem and Swiss Target Prediction databases were used to obtain the active ingredients in Euonymus alatus and their targets.GEO database and R language were used to analyze the differentially expressed genes in DKD.The therapeutic targets of DKD were obtained using GeneCards,DisGeNet,OMIM and TTD databases.The protein-protein interaction network and the"drug-component-target-disease"network were constructed for analyzing the topological properties of the core targets,which were functionally annotated using GO and KEGG pathway enrichment analyses.Molecular docking was performed for the core targets and the main pharmacologically active components,and the results were verified in db/db mice.Results Analysis of GSE96804,GSE30528 and GSE30529 datasets(including 60 DKD patients and 45 normal samples)identified 111 differentially expressed genes in DKD.Network pharmacology analysis obtained 161 intersecting genes between the target genes of Euonymus alatus and DKD,including the key core target genes SRC,EGFR,and AKT1.The core active ingredients of Euonymus alatus were quercetin,kaempferol,diosmetin,and naringenin,which were associated with responses to xenobiotic stimulionus and protein phosphorylation and regulated EGFR tyrosine kinase inhibitor resistance pathways.Molecular docking suggested good binding activities of the core active components of Euonymus alatus with the core targets.In db/db mouse models of DKD,treatment with Euonymus alatus obviously ameliorated kidney pathologies,significantly inhibited renal expressions of SRC,EGFR and AKT1,and delayed the progression of DKD.Conclusion Euonymus alatus contains multiple active ingredients such as quercetin,kakaferol,diosmetin,naringenin,which regulate the expressions of SRC,EGFR,and AKT1 to affect the EGFR tyrosine kinase inhibitor resistance signaling pathway to delay the progression of DKD.