ObjectiveTo analyze the current research status, hotspots and future trends of the application of digital health technology (DHT) in the rehabilitation of upper limb motor function after stroke. MethodsRelevant literature on the application of DHT in upper limb motor rehabilitation for stroke patients published between January, 2015 and December, 2025 was retrieved from Web of Science Core Collection, CNKI and Wanfang database. CiteSpace 6.4.R1 was used for visualized bibliometric analysis. ResultsA total of 1 295 publications were included, comprising 454 in Chinese and 841 in English. The annual number of publications generally showed an upward trend. China ranked first in publication output in English literature. The institutions with the highest numbers of publications were Huashan Hospital Affiliated to Fudan University and Swiss Federal Institute of Technology in Zurich. Both Chinese and English keywords formed ten clustering groups. Chinese clusters mainly involved occupational therapy, neural mechanisms and home-based rehabilitation, whereas English clusters focused on virtual reality, brain-computer interfaces and machine learning. High-frequency keywords included virtual reality, brain-computer interface, machine learning and deep learning. Chinese keywords with a strong burst included rehabilitation training, while deep learning showed a strong burst in English keywords. Stroke was the most frequently cited journal. Highly cited journals covered multiple disciplines, including rehabilitation medicine, neuroscience and computer science, reflecting the interdisciplinary characteristics of this field. ConclusionResearches on DHT for upper limb motor function rehabilitation in stroke are increasing annually, focusing on core interaction technologies, neural mechanism and artificial intelligence. Future research trends may include inter-disciplinary integration of artificial intelligence with core rehabilitation technologies, neuroimaging-guided targeted interventions, optimisation of home-based rehabilitation systems, and development of multidimensional quantitative assessment models.

Driven by policy initiatives promoting the integration of digital-intelligent technologies with primary healthcare and the digital transformation of traditional Chinese medicine (TCM), Smart TCM has emerged as a pivotal strategy for enhancing primary healthcare services for major chronic diseases. This paper reviews the current status, challenges, and feasible pathways of Smart TCM in community-level management of cardiovascular–cerebrovascular diseases and tumors, which represent major chronic disease burdens. Our findings indicate that Smart TCM demonstrates emerging potential in primary healthcare for chronic diseases across the entire continuum of “prevention-screening-diagnosis-treatment-management.” However, several significant challenges persist, including data silos and security vulnerabilities, limited applicability of existing models to real-world clinical needs, and insufficient digital literacy among primary healthcare physicians and elderly patients. To address these constraints, this paper proposes a multidimensional strategy encompassing the development of secure and interoperable regional data platforms, lightweight intelligent devices and support services aligned with primary care capacity, unified technical and data standards with corresponding quality control systems, adaptive and dynamically updated artificial intelligent models, interdisciplinary workforce training and patient education programs, and enhanced policy and health insurance support. Overall, Smart TCM shows great promise for improving the efficiency of primary healthcare delivery and establishing innovative TCM-based chronic disease management paradigms.

OBJECTIVE To investigate the inhibitory effect and mechanism of the active components of Alpinia katsumadai （ACAK） on tumor xenograft growth and tumor angiogenesis of human pancreatic cancer PANC-1 cells in nude mice. METHODS A tumor xenograft model in nude mice was established using human pancreatic cancer PANC-1 cells. The mice were randomly divided into model control group （intragastric administration of 0.9% normal saline）， solvent control group （intragastric administration of 0.5% carboxymethyl cellulose sodium）， positive control group （intraperitoneal injection of 0.5% carboxymethyl cellulose sodium+bevacizumab suspension 5 mg/kg ）， and ACAK 50， 100， and 200 mg/kg groups （intragastric administration of 0.5% carboxymethyl cellulose sodium+ACAK suspension 50， 100， 200 mg/kg）. The administration was carried out for 5 consecutive days followed by a 2-day interval， and this cycle was repeated for a total duration of 28 days. The tumor volume （TV）， relative tumor volume （RTV）， and relative tumor proliferation rate （T/C） at various time points from day 1 to day 28 after drug administration were measured and calculated for each group of nude mice. After the drug administration， the tumor weights were measured， and microvessel density （MVD） in the tumor xenograft tissues of nude mice， as well as relative protein expression levels of vascular endothelial growth factor （VEGF） and its receptor [fas-like tyrosine kinase-1 （Flt-1）， kinase insert domain receptor （KDR）] were detected. RESULTS On the 24th day of ACAK administration，compared with the model control group， the TV and RTV （except for ACAK 50 and 100 mg/kg groups） of nude mice in the positive control group and ACAK dose groups were significantly decreased （P＜0.05 or P＜0.01）， and the T/C of ACAK dose groups showed a dose-dependent decrease； the microvascular distribution of nude mice in the positive control group and ACAK dose groups was relatively sparse， and the tumor weight （except for the ACAK 50 mg/kg group）， MVD， and relative expression levels of VEGF， KDR， and Flt-1 in the tumor xenograft tissues were significantly reduced （P＜0.05 or P＜0.01）. CONCLUSIONS ACAK has a good anti-pancreatic cancer effect， and its mechanism may be related to its inhibition of VEGF/ VEGFR signaling pathway， thereby inhibiting angiogenesis in pancreatic cancer.

Objective To evaluate the efficacy and safety of Mirabegron combined with transcutaneous tibial nerve stimulation (TTNS) in the treatment of drug-refractory overactive bladder (OAB), so as to alleviate patients'symptoms, improve their quality of life with optimized treatment plan, and provide reference for clinical practice. Methods A retrospective analysis was conducted on 56 patients with drug-refractory OAB treated at the Department of Urology of Gansu Provincial Hospital during Jan.2023 and Dec.2024. Based on the treatment methods, the patients were divided into two groups:the TTNS group and the combined treatment group, with 28 patients in either group. The daytime urination frequency, nocturia frequency, urgency episodes, urinary incontinence, functional bladder capacity (FBC), OAB symptom scores (OABSS), and incontinence quality of life questionnaire (I-QoL) scores were collected before and after treatment. The therapeutic efficacy was evaluated using the Nimodipine method. Results After 12 weeks of treatment, the 24-hour urination indicators in both groups including daytime urination frequency, nocturia frequency, urgency episodes and FBC, as well as OABSS and I-QoL scores, showed a significant improvement compared to baseline (P<0.001). The combined treatment group exhibited fewer urgency episodes than the TTNS group [ (1.07±0.66) times/24 h vs. (1.64±0.62) times/24 h, P<0.05]. However, no statistically significant differences were observed between the two groups in other urinary parameters (P>0.05). The total effective rate in the combined treatment group was 96.43%, which was significantly higher than that in the TTNS group (82.14%, P<0.05). During treatment, one patient (3.57%) in the TTNS group experienced mild skin allergy, which recovered following symptomatic management. Conclusion The combination of TTNS and Mirabegron in drug-refractory OAB not only alleviates clinical symptoms and improves quality of life, but also shows superior efficacy in reducing urgency episodes. This approach is a safe and effective treatment option.

Interstitial cystitis/bladder pain syndrome (IC/BPS) is a refractory condition characterized by chronic inflammation of the bladder wall, disruption of the urothelial barrier, and neural sensitization. Current therapies, such as oral pentosan polysulfate sodium (PPS) or intravesical hyaluronic acid instillations, offer limited efficacy due to transient effects and an inability to reverse tissue fibrosis. Platelet-rich plasma (PRP), a regenerative medicine approach, has demonstrated significant therapeutic potential in urological disorders through the synergistic actions of its multiple growth factors. This review summarizes the latest advances in PRP therapy for IC/BPS, revealing that the underlying mechanisms primarily involve the release of diverse growth factors, suppression of inflammatory responses, restoration of the urothelial barrier, and modulation of nerve axonal regeneration. Clinically, PRP therapy significantly alleviates symptoms including pelvic/bladder pain, urinary frequency, nocturia episodes, and improves patients'quality of life. Furthermore, it offers advantages such as convenient administration, a favorable safety profile, and strong feasibility, presenting new therapeutic methods and options for the clinical treatment of IC/BPS.

Objective To observe the value of cervical lymph node ultrasound network model based on deep learning(DL)for diagnosing cervical lymph node metastasis of papillary thyroid carcinoma(PTC).Methods Totally 444 PTC patients with suspected cervical lymph node enlargement on ultrasonography were retrospectively enrolled and divided into metastasis group(n=253)and non-metastasis group(n=191)based on fine needle aspiration pathology and thyroglobulin detection.And 1 754 cervical lymph node ultrasonic images were divided into training set(n=1 404),validation set(n=175)and test set(n=175)at the ratio of 8∶1∶1.Ultrasonic features of cervical lymph nodes were extracted,then ultrasound network model was established using DL,and the diagnostic efficacy of this model for diagnosing lymph node metastasis was analyzed.Results The sensitivity,specificity,accuracy and area under the curve of ultrasound network model for diagnosing cervical lymph node metastasis of PTC was 93.06％,97.05％,95.04％and 0.858 in validation set,which was 86.14％,78.67％,88.49％and 0.828 in test set,respectively.Conclusion Cervical lymph node ultrasound network model based on DL was helpful for diagnosing cervical lymph node metastasis of PTC.

Objective:To investigate effect and mechanism of hydroxysafflor yellow A(HSYA)activating neuronal autophagy on cerebral ischemia-reperfusion injury through a combination of in vitro and in vivo experiments.Methods:SD rat MCAO/R model was established by improved suture method.Rats were randomly divided into sham surgery(Sham)group,MCAO/R group and MCAO/R+HSYA group,following indicators were detected to determine extent of cerebral ischemia-reperfusion nerve damage:Z-Longa neu-rological function score was detected,TTC staining to measure cerebral infarction area,and TUNEL staining to measure cell apopto-sis;Western blot was used to detect protein expressions of autophagy related markers LC3,Beclin1,P62 and SIRT1 in rat brain tis-sue;immunofluorescence staining was used to observe expression of LC3 co-localization with neurons.OGD/R injury model of SH-SY5Y cells was established and randomly divided into Normal group,OGD/R group,OGD/R+HSYA group,OGD/R+SIRT1 inhibitor(EX-527)group and OGD/R+EX-527+HSYA group.Western blot was used to detect protein expressions of LC3,Beclin1,P62 and SIRT1.Results:Compared with Sham group,model group rats showed impaired neurological function,significantly increased neu-robehavioral scores,widespread cerebral infarction,significantly increased neuronal cell apoptosis,significantly increased autophagy related protein Beclin1 expression and LC3-Ⅱ/LC3-Ⅰ,significantly decreased P62 expression,significantly increased LC3/NeuN co-stained cells,and decreased SIRT1 expression;compared with model group,HSYA intervention group showed a significant decrease in neurological functional scores,a significant reduction in cerebral infarction area,a significant decrease in neuronal cell apoptosis,a further increase in Beclin1 expression and LC3-Ⅱ/LC3-Ⅰ,a further decrease in P62 expression,number of LC3/NeuN and P62/NeuN co-stained cells also increased,and SIRT1 expression significantly increased.Expression trends of Beclin1,LC3-Ⅱ/LC3-Ⅰ,P62 and SIRT1 of cells between normal group,model group and HSYA intervention group were same as animal experiment;compared with model group,expressions of SIRT1,Beclin1 and LC3-Ⅱ/LC3-Ⅰ in OGD/R+EX-527 group were significantly reduced,while expression of P62 was significantly increased;compared with OGD/R+EX-527 group,there was no significant change in SIRT1 expression in OGD/R+EX-527+HSYA group,LC3-Ⅱ/LC3-Ⅰ and Beclin1 expression were significantly increased,and P62 expres-sion was significantly decreased.Conclusion:HSYA can significantly improve neurological deficits in rats after cerebral ischemia-reperfusion,reduce cerebral infarction area,and decrease neuronal cell apoptosis rate,whose neuroprotective effect may be related to its activation of SIRT1,which significantly enhances neuronal autophagy.

ObjectiveTo assess the efficiency of a Sophora flavescens Ait (S. flavescens, Ku Shen)-soluble microneedle (SFA-MN) for improving skin lesion symptoms in mice with psoriasis.MethodsSFA-MNs were prepared using a two-mold molding process with 20% w/v polyvinylpyrrolidone and 15% w/v polyvinyl alcohol. The SFA-MNs were assessed for morphology, mechanical properties, in vitro dissolution, identification of components, and skin lesion improvement in imiquimod-induced psoriasis mice.ResultsThe SFA-MNs demonstrated good mechanical properties for efficiently penetrating the dermis, facilitating efficient drug delivery. Furthermore, they effectively inhibited mast cell levels in the dorsal lesion area of psoriasis mice and reduced the expression of the T-lymphocyte factor cluster of differentiation 3 and tumor necrosis factor-α. In addition, this system alleviated skin inflammation, splenic swelling, and thymic atrophy in the psoriasis-like mouse model. Seven major components were detected from SFA-MNs by comparison of the mass-to-nucleus ratios (m/z) of the secondary fragments N-methylcytisine, 5α, 9α-dihydroxymatrine, sophoramine, matrine, oxysophocarpine, oxymatrine, and kushenol O.ConclusionThe drug delivery strategy combining traditional herbal S. flavescens with soluble microneedle technology provides more targeted and effective immune regulation for treating psoriasis-like mice models, enabling enhanced therapeutic effects compared with the control group.

OBJECTIVE: To explore the reasons for false negative results by Optical genome mapping (OGM) analysis of three cases and propose strategies for handling them. METHODS: Three patients presented at the Affiliated Hospital of Nantong University between July 2022 and July 2024 were selected as study subjects. The patients included a 37-year-old female with two miscarriages, a 1.5-year-old boy with delayed motor development, and a 35-year-old male whose son had intellectual disability. The patients had undergone comprehensive evaluation with chromosomal karyotyping analysis, single nucleotide polymorphism microarray (SNP array) assay, fluorescence in situ hybridization (FISH), and methylation-specific multiple ligation-dependent probe amplification (MS-MLPA). A retrospective analysis was also carried out on the results of OGM testing. This study was approved by the Medical Ethics Committee of the Hospital (Ethics No.: 2020-K004). RESULTS: The chromosomal karyotype of patient 1 was 46,XX,4qs, and no abnormality was found by SNP array, FISH, and OGM testing. Patient 2 had a normal chromosomal karyotype, and SNP array analysis did not reveal any copy number abnormalities of chromosomal fragments but the presence of a homozygous region of approximately 79.58 Mb at 15q11.2-q26.3 (chr15: 22817871_102397317). MS-MLPA detection indicated that the copy number of the 15q11.2-q13 region was 2, and the degree of methylation was relatively high (average ratio = 1.0). OGM detection confirmed the presence of approximately 67.97 Mb of homozygosity in the chr15:33814680_101787650 [hg38] region of 15q14-q26.3. Patient 3 had a chromosomal karyotype of 46,XY,t(9;14)(q13;q11.2). No abnormality was found by OGM testing for patients 1 and 3. CONCLUSION As a novel cytogenetic technique, OGM can achieve high-resolution and high-precision analysis for numerical and structural genomic abnormalities. Nevertheless, it also has certain limitations, as its false negative results are related to factors such as the type of genomic variation, the chromosomal regions involved in the variation, the type of disease, and the version of human reference genome. Currently, it cannot be used as an independent method for the diagnosis of genetic diseases.
Humans ; Male ; Female ; Adult ; Polymorphism, Single Nucleotide/genetics* ; Karyotyping ; Chromosome Mapping/methods* ; Infant ; False Negative Reactions ; In Situ Hybridization, Fluorescence

Objective To observe the value of cervical lymph node ultrasound network model based on deep learning(DL)for diagnosing cervical lymph node metastasis of papillary thyroid carcinoma(PTC).Methods Totally 444 PTC patients with suspected cervical lymph node enlargement on ultrasonography were retrospectively enrolled and divided into metastasis group(n=253)and non-metastasis group(n=191)based on fine needle aspiration pathology and thyroglobulin detection.And 1 754 cervical lymph node ultrasonic images were divided into training set(n=1 404),validation set(n=175)and test set(n=175)at the ratio of 8∶1∶1.Ultrasonic features of cervical lymph nodes were extracted,then ultrasound network model was established using DL,and the diagnostic efficacy of this model for diagnosing lymph node metastasis was analyzed.Results The sensitivity,specificity,accuracy and area under the curve of ultrasound network model for diagnosing cervical lymph node metastasis of PTC was 93.06％,97.05％,95.04％and 0.858 in validation set,which was 86.14％,78.67％,88.49％and 0.828 in test set,respectively.Conclusion Cervical lymph node ultrasound network model based on DL was helpful for diagnosing cervical lymph node metastasis of PTC.