In this experiment, self-assembled nanoparticles(SANs) were prepared by the pH-driven method, and Her-HCP SAN was constructed by using herpetrione(Her) and Herpetospermum caudigerum polysaccharides(HCPs). The average particle size and polydispersity index(PDI) were used as evaluation indexes for process optimization, and the quality of the final formulation was evaluated in terms of particle size, PDI, Zeta potential, and microstructure. The proposed Her-HCP SAN showed a spheroid structure and uniform morphology, with an average particle size of(244.58±16.84) nm, a PDI of 0.147 1±0.014 8, and a Zeta potential of(-38.52±2.11) mV. Her-HCP SAN significantly increased the saturation solubility of Her by 2.69 times, with a cumulative release of 90.18% within eight hours. The results of in vivo unidirectional intestinal perfusion reveal that Her active pharmaceutical ingredient(API) is most effectively absorbed in the jejunum, where both K_a and P_(app) are significantly higher compared to the ileum(P<0.001). However, the addition of HCP leads to a significant reduction in the P_(app) of Her in the jejunum(P<0.05). Furthermore, the formation of the Her-HCP SAN results in a notably lower P_(app) in the jejunum compared to Her API alone(P<0.001), while both K_a and P_(app) in the ileum are significantly increased(P<0.001, P<0.05). The absorption of Her-HCP SAN at different concentrations in the ileum shows no significant differences, and the pH has no significant effect on the absorption of Her-HCP SAN in the ileum. The addition of the transporter protein inhibitors(indomethacin and rifampicin) significantly increases the absorption parameters K_a and P_(app) of Her-HCP SAN in the ileum(P<0.05,P<0.01), whereas the addition of verapamil has no significant effect on the intestinal absorption parameters of Her-HCP SAN, suggesting that Her may be a substrate for multidrug resistance-associated protein 2 and breast cancer resistance proteins but not a substrate of P-glycoprotein.
Nanoparticles/metabolism* ; Polysaccharides/pharmacokinetics* ; Intestinal Absorption/drug effects* ; Animals ; Rats ; Particle Size ; Drugs, Chinese Herbal/pharmacokinetics* ; Male ; Rats, Sprague-Dawley ; Drug Carriers/chemistry* ; Drug Compounding ; Cucurbitaceae/chemistry*

Objective To investigate plasma protein expression changes in heatstroke patients using proteomics technology and to identify reliable prognostic biomarkers.Methods A retrospective analysis was conducted on 20 heatstroke patients hospitalized at the 908th Hospital of the Chinese PLA Joint Logistics Support Force from July 2022 to February 2024.Patients were divided into survival(n=16)and death groups(n=4)based on 28-day outcomes.Fasting venous blood samples were collected from both groups for proteomic analysis.Liquid chromatography-mass spectrometry(LC-MS/MS)was used to identify and screen differentially expressed proteins.Kyoto Encyclopedia of Genes and Genomes(KEGG)and Gene Ontology(GO)enrichment analyses were performed.LASSO regression was applied to screen key prognostic biomarkers,and receiver operating characteristic(ROC)curve analysis was used to evaluate their predictive value.Results A total of 27 upregulated and 90 downregulated proteins were identified between the two groups.These proteins were primarily involved in biological processes such as immune responses,complement activation,and metabolic processes.LASSO regression analysis indicated that actin-related protein 2(ARP2),cysteine-rich scavenger receptor type 1 M130(CD163),and catalase(CAT)could serve as effective biomarkers for evaluating heatstroke prognosis.ROC curve analysis demonstrated that ARP2 had higher diagnostic efficacy(AUC=0.98,sensitivity=0.80,specificity=1.00)compared to CD163(AUC=0.94,sensitivity=0.76,specificity=1.00),CAT(AUC=0.96,sensitivity=0.67,specificity=1.00),and acute physiology and chronic health evaluation Ⅱ(APACHE Ⅱ)score(AUC=0.79,sensitivity=0.44,specificity=1.00).Conclusion Elevated plasma ARP2 level has good clinical value for predicting poor prognosis in heatstroke patients.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Objective To analyze the clinical diagnostic value of whole-body bone imaging combined with serum N-terminal osteo-calcin(N-Osrteoc)and vascular endothelial growth factor receptor 2(VEGFR2)for evaluating bone metastasis in elderly patients with lung cancer.Methods General data of 100 elderly patients with lung cancer diagnozed for the first time at Tianjin Hospital between December 2021 and December 2023 were retrospectively collected.Based on the pathological results,the patients were separated into a lung cancer bone metastasis group of 42 cases and a lung cancer non-bone metastasis group of 58 cases.Serum N-Osrteoc and VEGFR2 levels were detected by using an enzyme-linked immunosorbent assay(ELISA).All patients underwent whole-body bone imaging using SPECT diagnostic equipment.Receiver operator characteristic(ROC)curve analysis was performed to determine the diagnostic value of serum N-Osrteoc,VEGFR2,and whole-body bone imaging for lung cancer bone metastasis.Furthermore,Kappa test was performed to analyze the consistency between different examination methods for diagnozing lung cancer bone metastasis and pathological diagnosis results.Results The serum N-Osrteoc and VEGFR2 levels in the bone metastasis group were significantly higher than those in the non-bone metastasis group(P＜0.05).The area under the curve(AUC)for serum N-Osrteoc and VEGFR2 levels,whole-body bone imaging,and their combination for diagnozing lung cancer bone metastasis were 0.847,0.846,0.907,and 0.956,respectively.Furthermore,com-pared with the pathological results,the numbers of false-positive cases were 14,19,8,and 1,those of false-negative cases were 7,7,2,and 3,and the Kappa values were 0.579,0.487,0.799,and 0.917,respectively(P＜0.05).The specificity of whole-body bone imaging combined with serum N-Osrteoc and VEGFR2 in diagnozing lung cancer bone metastasis was significantly higher than alone(P＜0.05).Conclusion The combination of whole-body bone imaging and serum N-Osrteoc and VEGFR2 levels is of great significance for early diagnosis of bone metastasis in elderly patients with lung cancer.This combined diagnosis has high sensitivity and specificity and can be widely used in clinical practice.

Objective To analyze the clinical diagnostic value of whole-body bone imaging combined with serum N-terminal osteo-calcin(N-Osrteoc)and vascular endothelial growth factor receptor 2(VEGFR2)for evaluating bone metastasis in elderly patients with lung cancer.Methods General data of 100 elderly patients with lung cancer diagnozed for the first time at Tianjin Hospital between December 2021 and December 2023 were retrospectively collected.Based on the pathological results,the patients were separated into a lung cancer bone metastasis group of 42 cases and a lung cancer non-bone metastasis group of 58 cases.Serum N-Osrteoc and VEGFR2 levels were detected by using an enzyme-linked immunosorbent assay(ELISA).All patients underwent whole-body bone imaging using SPECT diagnostic equipment.Receiver operator characteristic(ROC)curve analysis was performed to determine the diagnostic value of serum N-Osrteoc,VEGFR2,and whole-body bone imaging for lung cancer bone metastasis.Furthermore,Kappa test was performed to analyze the consistency between different examination methods for diagnozing lung cancer bone metastasis and pathological diagnosis results.Results The serum N-Osrteoc and VEGFR2 levels in the bone metastasis group were significantly higher than those in the non-bone metastasis group(P＜0.05).The area under the curve(AUC)for serum N-Osrteoc and VEGFR2 levels,whole-body bone imaging,and their combination for diagnozing lung cancer bone metastasis were 0.847,0.846,0.907,and 0.956,respectively.Furthermore,com-pared with the pathological results,the numbers of false-positive cases were 14,19,8,and 1,those of false-negative cases were 7,7,2,and 3,and the Kappa values were 0.579,0.487,0.799,and 0.917,respectively(P＜0.05).The specificity of whole-body bone imaging combined with serum N-Osrteoc and VEGFR2 in diagnozing lung cancer bone metastasis was significantly higher than alone(P＜0.05).Conclusion The combination of whole-body bone imaging and serum N-Osrteoc and VEGFR2 levels is of great significance for early diagnosis of bone metastasis in elderly patients with lung cancer.This combined diagnosis has high sensitivity and specificity and can be widely used in clinical practice.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Objective To investigate the incidence rate,clinical characteristics,and prognosis of neonatal stroke in Shenzhen,China.Methods Led by Shenzhen Children's Hospital,the Shenzhen Neonatal Data Collaboration Network organized 21 institutions to collect 36 cases of neonatal stroke from January 2020 to December 2022.The incidence,clinical characteristics,treatment,and prognosis of neonatal stroke in Shenzhen were analyzed.Results The incidence rate of neonatal stroke in 21 hospitals from 2020 to 2022 was 1/15 137,1/6 060,and 1/7 704,respectively.Ischemic stroke accounted for 75％(27/36);boys accounted for 64％(23/36).Among the 36 neonates,31(86％)had disease onset within 3 days after birth,and 19(53％)had convulsion as the initial presentation.Cerebral MRI showed that 22 neonates(61％)had left cerebral infarction and 13(36％)had basal ganglia infarction.Magnetic resonance angiography was performed for 12 neonates,among whom 9(75％)had involvement of the middle cerebral artery.Electroencephalography was performed for 29 neonates,with sharp waves in 21 neonates(72％)and seizures in 10 neonates(34％).Symptomatic/supportive treatment varied across different hospitals.Neonatal Behavioral Neurological Assessment was performed for 12 neonates(33％,12/36),with a mean score of(32±4)points.The prognosis of 27 neonates was followed up to around 12 months of age,with 44％(12/27)of the neonates having a good prognosis.Conclusions Ischemic stroke is the main type of neonatal stroke,often with convulsions as the initial presentation,involvement of the middle cerebral artery,sharp waves on electroencephalography,and a relatively low neurodevelopment score.Symptomatic/supportive treatment is the main treatment method,and some neonates tend to have a poor prognosis.

Temporomandibular disorders (TMD) are a heterogeneous group of diseases that affect the temporomandibular joint, chewing muscle system, dental occlusion, and even various structures throughout the body, with significant characteristics of biological-psychological-social pattern. TMD related chronic pain, as the most important clinical symptom, can result in negative emotions seriously affecting patients′ quality of life and physical and mental health. Although a variety of therapies have been previously reported to treat TMD related chronic pain, there is a lack of widely recognized therapies. Professor Jason W Busse (from Michael G DeGroote National Pain Centre, McMaster University, Hamilton ON, Canada) took the lead and collaborated with multiple internationally renowned schools/hospitals of stomatology to develop an international consensus on the management of chronic pain associated with TMD, a clinical practice guideline, which took two years and was published in December 15th, 2023 in a global top journal of clinical research The British Medical Journal. This clinical practice guideline explored the comparative effectiveness of available therapies for chronic pain associated with TMD, conditionally recommended the specific intervention for different treatment or pain relief, proposed a comprehensive, agreed, and standardized clinical practice guideline. This present article describes the methodology and key elements of the clinical practice guideline to help clinicians fully understand and appropriately apply this guidance, which could provide the references for clinical practice of TMD associated chronic pain in China.

ObjectiveTo explore the research status and trends of cohort studies on traditional Chinese medicine （TCM） efficacy evaluation from 2017 to 2022 and provide ideas and references for research in this field. MethodsSix databases including Pubmed， Web of Science， Embase， Scopus， Cochrane Library and CNKI were searched from January 1st， 2017 to December 31st， 2022. The total number of annual publications， journals， highly cited literatures， and keywords were quantitatively and visually analyzed by Bibliometrix. ResultsA total of 328 articles were included， which were published in 141 journals. The number of articles published in this field showed an overall upward trend， and retrospective cohort studies （282 papers， 85.98%） accounted for the largest proportion. A total of 151 cohort studies （46.04%） were conducted based on the database and showed an overall upward trend. The subjects were mainly patients with tumors （77 papers， 23.48%）， and cardiovascular and cerebrovascular diseases （64 papers， 19.51%）. The top 3 highly cited literatures mainly explore the association between TCM and survival outcome and quality of life in patients with malignant tumors. Fourteen and twenty-five high-frequency keywords were included in Chinese and English literature respectively， which formed 3 clusters such as research methods， statistical analysis and diseases. ConclusionIt was the current status to focus on retrospective cohort studies and focus on patients with tumors or cardiovascular and cerebrovascular diseases. Using observational database to conduct cohort studies of TCM efficacy evaluation could be the future research direction.

As artificial intelligence technology rapidly advances, its deployment within the medical sector presents substantial ethical challenges. Consequently, it becomes crucial to create a standardized, transparent, and secure framework for processing medical data. This includes setting the ethical boundaries for medical artificial intelligence and safeguarding both patient rights and data integrity. This consensus governs every facet of medical data handling through artificial intelligence, encompassing data gathering, processing, storage, transmission, utilization, and sharing. Its purpose is to ensure the management of medical data adheres to ethical standards and legal requirements, while safeguarding patient privacy and data security. Concurrently, the principles of compliance with the law, patient privacy respect, patient interest protection, and safety and reliability are underscored. Key issues such as informed consent, data usage, intellectual property protection, conflict of interest, and benefit sharing are examined in depth. The enactment of this expert consensus is intended to foster the profound integration and sustainable advancement of artificial intelligence within the medical domain, while simultaneously ensuring that artificial intelligence adheres strictly to the relevant ethical norms and legal frameworks during the processing of medical data.
Artificial Intelligence/legislation & jurisprudence* ; Humans ; Consensus ; Computer Security/standards* ; Confidentiality/ethics* ; Informed Consent/ethics*