Professor LI Zhidao puts forward the application of "group acupoints" in his clinical practice by imitating the mutual reinforcement and mutual assistance of Chinese herbal medicine. It is based on the theory as "where is the acupoint located, what are the indications of this acupoint"; and consists with the specific actions of ancient needling techniques at acupoints. The distribution of "group acupoints" is in line with the "located by the region division of the head and trunk, and by the meridians on the four extremities", which is recorded in Zhenjiu Jiayi Jing (the Systematic Classic of Acupuncture and Moxibustion). It shows "the importance of the relationship between acupoints and zangfu", and "the emphasis on the distribution of nerves and muscles" respectively. In clinical practice, controlling needling sensation is the essence of this technique at "group acupoints", the integration of acupoints and needling technique is the basic requirement, and the step-by-step needling manipulation is critical for obtaining the therapeutic effect. "Group acupoints" combined with specific needling technique advance the application efficiency and the effect of acupoints.
Acupuncture Points ; Acupuncture Therapy/methods* ; Humans ; China ; History, 20th Century ; Meridians ; Medicine in Literature ; Acupuncture/history*

The rapid development of artificial intelligence (AI), especially generative AI (GenAI), has already brought, and will continue to bring, revolutionary changes to our daily production and life, as well as create new opportunities and challenges for diagnostic and therapeutic practices in the medical field. Haihe Hospital of Tianjin University collaborates with the National Supercomputer Center in Tianjin, Tianjin University, and other institutions to carry out research in areas such as smart healthcare, smart services, and smart management. We have conducted research and development of a full-process disease diagnosis and treatment assistance system based on GenAI in the field of smart healthcare. The development of this project is of great significance. The first goal is to upgrade and transform the hospital's information center, organically integrate it with existing information systems, and provide the necessary computing power storage support for intelligent services within the hospital. We have implemented the localized deployment of three models: Tianhe "Tianyuan", WiNGPT, and DeepSeek. The second is to create a digital avatar of the chief physician/chief physician's voice and image by integrating multimodal intelligent interaction technology. With generative intelligence as the core, this solution provides patients with a visual medical interaction solution. The third is to achieve deep adaptation between generative intelligence and the entire process of patient medical treatment. In this project, we have developed assistant tools such as intelligent inquiry, intelligent diagnosis and recognition, intelligent treatment plan generation, and intelligent assisted medical record generation to improve the safety, quality, and efficiency of the diagnosis and treatment process. This study introduces the content of a full-process disease diagnosis and treatment assistance system, aiming to provide references and insights for the digital transformation of the healthcare industry.
Artificial Intelligence ; Humans ; Delivery of Health Care ; Generative Artificial Intelligence

Xiaoaiping (XAP) Injection demonstrates the anti-prostate cancer (PCa) effects, yet the underlying mechanism remains unclear. This study aims to investigate the impact of XAP on PCa and elucidate its mechanism of action. PCa cell proliferation was evaluated using a cell counting kit-8 (CCK-8) assay. Cell apoptosis was assessed through Hoechst staining and Western blotting assays. Proteomics technology was employed to identify key molecules and significant signaling pathways modulated by XAP in PCa cells. To further validate potential key genes and important pathways, a series of assays were conducted, including acridine orange (AO) staining, transmission electron microscopy, and immunofluorescence assays. The molecular mechanism of XAP against PCa in vivo was examined using a PC3 xenograft mouse model. Results demonstrated that XAP significantly inhibited cell proliferation in multiple PCa cell lines. In C4-2 and prostate cancer cell line-3 (PC3) cells, XAP induced cellular apoptosis, evidenced by reduced B-cell lymphoma 2 (Bcl-2) levels and elevated Bcl-2-associated X (Bax) levels. Proteomic, immunofluorescence, and quantitative reverse transcription-polymerase chain reaction (qRT-PCR) investigations revealed a strong correlation between forkhead box O3a (FoxO3a) autophagic degradation and the anti-PCa action of XAP. XAP hindered autophagy by reducing the expression levels of autophagy-related protein 5 (Atg5)/autophagy-related protein 12 (Atg12) and enhancing FoxO3a expression and nuclear translocation. Furthermore, XAP exhibited potent anti-PCa action in PC3 xenograft mice and triggered FoxO3a nuclear translocation in tumor tissue. These findings suggest that XAP induces PCa apoptosis via inhibition of FoxO3a autophagic degradation, potentially offering a novel perspective on XAP injection as an effective anticancer therapy for PCa.
Male ; Humans ; Prostatic Neoplasms/physiopathology* ; Autophagy/drug effects* ; Animals ; Drugs, Chinese Herbal/pharmacology* ; Proteomics ; Mice ; Apoptosis/drug effects* ; Cell Line, Tumor ; Cell Proliferation/drug effects* ; Forkhead Box Protein O3/genetics* ; Xenograft Model Antitumor Assays ; Mice, Nude ; Mice, Inbred BALB C

Objective:To analyze survival data of cancer from 1970 to 2014 in Zhongshan City, Guangdong Province, and provide scientific basis for cancer prevention and control in Zhongshan City.Methods:The tumor incidence data of Zhongshan City, Guangdong Province from 1970 to 2014 were collected from Zhongshan Cancer Registry, and all patients were followed up to December 31, 2019. The standardized 5-year net survival rates and their annual percentage change (APC) and average annual percentage change (AAPC) for total and major cancers at different times were used to describe statistical analysis. The standardized survival rates were weighted using the International Cancer Survival Standard Age Coefficients.Results:There were 78 854 cancer patients eligible for the study in Zhongshan City of Guangdong Province from 1970 to 2014, among which lung cancer (13 466 cases, 17.08%), nasopharyngeal cancer (9715 cases, 12.32%) and liver cancer (9707 cases, 12.31%) were the main types of cancer. The morphology verification was 69.87% in the whole of cancers and the ranges were 21.07% to 97.00% in major cancers. From 2010 to 2014, the 5-year age-standardized net survival rates of cancers for all, males and females in Zhongshan City were 39.74%, 30.92% and 52.47%, in which were 97.98% for thyroid cancer, 74.29% for brain and central nervous system tumors, 73.92% for nasopharyngeal cancer, 50.23% for colorectal cancer, 81.38% for female breast cancer, 78.81% for uterine body cancer, 68.57% for cervical cancer, 49.33% for prostate cancer, 16.19% for lung cancer , 12.14% for liver cancer, and 11.78% for esophageal cancer, respectively. The survival rates of all cancers in Zhongshan City showed an increasing trends in 1970-2014 (AAPC=1.5%, P=0.025), and it was higher in female cancers than that of male in all periods. Conclusion:The standardized 5-year net survival rates of all and major cancers in Zhongshan City of Guangdong Province show an increasing trend from 1970 to 2014, but they are still at a medium-low levels compared with the countries and regions participating in CONCORD-3 project, suggesting that Zhongshan should continue to strengthen cancer prevention and control.

Objective:To analyze survival data of cancer from 1970 to 2014 in Zhongshan City, Guangdong Province, and provide scientific basis for cancer prevention and control in Zhongshan City.Methods:The tumor incidence data of Zhongshan City, Guangdong Province from 1970 to 2014 were collected from Zhongshan Cancer Registry, and all patients were followed up to December 31, 2019. The standardized 5-year net survival rates and their annual percentage change (APC) and average annual percentage change (AAPC) for total and major cancers at different times were used to describe statistical analysis. The standardized survival rates were weighted using the International Cancer Survival Standard Age Coefficients.Results:There were 78 854 cancer patients eligible for the study in Zhongshan City of Guangdong Province from 1970 to 2014, among which lung cancer (13 466 cases, 17.08%), nasopharyngeal cancer (9715 cases, 12.32%) and liver cancer (9707 cases, 12.31%) were the main types of cancer. The morphology verification was 69.87% in the whole of cancers and the ranges were 21.07% to 97.00% in major cancers. From 2010 to 2014, the 5-year age-standardized net survival rates of cancers for all, males and females in Zhongshan City were 39.74%, 30.92% and 52.47%, in which were 97.98% for thyroid cancer, 74.29% for brain and central nervous system tumors, 73.92% for nasopharyngeal cancer, 50.23% for colorectal cancer, 81.38% for female breast cancer, 78.81% for uterine body cancer, 68.57% for cervical cancer, 49.33% for prostate cancer, 16.19% for lung cancer , 12.14% for liver cancer, and 11.78% for esophageal cancer, respectively. The survival rates of all cancers in Zhongshan City showed an increasing trends in 1970-2014 (AAPC=1.5%, P=0.025), and it was higher in female cancers than that of male in all periods. Conclusion:The standardized 5-year net survival rates of all and major cancers in Zhongshan City of Guangdong Province show an increasing trend from 1970 to 2014, but they are still at a medium-low levels compared with the countries and regions participating in CONCORD-3 project, suggesting that Zhongshan should continue to strengthen cancer prevention and control.

Objective Screening for sensitive biomarkers for predicting and analyzing drug-induced renal toxicity,accelerates drug early development.Methods Focuses on epithelial cells of proximal convoluted tubules in human renal cortex(human kidney-2,HK-2)cells as the research object,screening for highly sensitive biomarkers using three nephrotoxic drugs(cisplatin,gentamicin,and aristolochic acid Ⅰ).Results The sensitivity of biomarkers in intracellular fluid is higher than in extracellular fluid,compared to detecting a single biomarker in the intracellular fluid.The combined detection of β2-microglobulin(β2-MG)and neutrophil gelatinase-associated lipocalin(NGAL)improved the accuracy of renal toxicity evaluation.Conclusion Based on the HK-2 cell model,the combined detection of β2-MG and NGAL in intracellular fluid can be used to predict renal toxicity in the drug's early development stage.

Objective To investigate the population distribution,biofilm formation and drug resistance of Staphylococcus aureus isolated from pressure ulcers infected patients in the hospital,and to provide important clinical evidence.Methods From May 2019 to May 2022,a total of 126 strains of Staphylococcus aureus relat-ed to pressure ulcer infections were collected in the hospital.The bacteria were identified by Vitek MS mass spectrometer,and the drug susceptibility test was performed by disk diffusion method(K-B method).The drug susceptibility results were analyzed according to the standards of the American Association for Clinical Laboratory Standardization(ACLA),2016-M100.The crystal violet staining method was used to detect the biofilm of Staphylococcus aureus and determine its formation ability.Glucose and silver ion powder were add-ed to the biofilm respectively,and their effects on biofilm formation were observed.Results From May 2019 to May 2022,126 strains of Staphylococcus aureus related to pressure ulcer infection were collected from the hospital.Pressure ulcer was detected at all ages and levels.The proportion of strains forming biofilm was 73.00％,and the proportion of strains forming biofilm was 81.81％in the strain isolated from stage Ⅳ pres-sure ulcer,which was higher than that in the strain isolated from other stages(Ⅱ and Ⅲ)(63.33％),and the differences were statistically significant(P＜0.05).Strains with different biofilm formation ability had higher resistance rates to penicillin G,tetracycline,ciprofloxacin,sulfamethoxazole/trimethoprim,but lower resist-ance rates to teicoplanin and levofloxacin.No Gram-positive bacteria resistant to vancomycin were detected.There were no significant differences in drug resistance of Staphylococcus aureus in different biofilm levels(P＞0.05).11.10 mmol/L glucose could promote the formation of biofilm,10.00 μg/mL silver ion antibacte-rial gel could inhibit the formation of biofilm.Conclusion The biofilm formation ability of Staphylococcus au-reus to cause stage Ⅳ pressure ulcer infection is strong and the formation of biofilm is related to the stage of pressure ulcer.The antimicrobial resistance of Staphylococcus aureus producing membrane has no obvious re-lationship with the grade of biofilm.The use of silver ions and the reduction of blood glucose level have a cer-tain inhibitory effect on biofilm formation.

Objective To investigate the characteristic volatile organic compounds(VOCs)in exhaled breath and their diagnostic value in mice with early stage radiation injury.Methods The thermal desorption gas chromatography-mass spectrometry(TD-GC/MS)technique was used to analyze VOCs in exhaled breath of irradiated mice by 60Coγ-ray with 800 cGy.The characteristic VOCs in the early stage of radiation injury were identified,and a diagnostic model was established.Results The 30-day survival rate of mice was 4.2%.There were significant differences in characteristic VOCs at 7 hours after radiation injury,and thirty characteristic VOCs related to early-stage radiation injury were identified.The diagnostic value of differential metabolites in mice after irradiation was evaluated via the ROC curve,and the area under the ROC curve(AUC)of a single compound exceeded 0.8.The diagnostic model was constructed by screening 9 potential biomarkers of exhalation through Fisher discriminant analysis,and its sensitivity and specificity were close to 100%.Conclusion Analysis of VOCs in exhaled breath is expected to provide a non-invasive diagnostic method for early screening and diagnosis of radiation injury.

Objective To investigate the expression of miR-204 and silence information regulator 1(SIRT1)in colorectal cancer and their clinical value.Methods Cancer tissue specimens and paracancer tissue specimens of 60 patients with colorectal cancer treated in Department of Gastrointestinal Surgery of Affiliated Hospital of Jiaxing University from May 2018 to June 2020 were collected as study objects.Real time fluorogenic quantitative polymerase chain reaction was used to detect the gene expression of miR-204 and SIRT1,and the correlation between miR-204 and SIRT1 gene expression was compared by Pearson analysis.Immunohistochemical SABC method was used to detect SIRT1 protein expression,and relationship between different SIRT1 protein expression and clinicopathological features was compared.Kaplan-Meier method was used to analyze the survival difference of colorectal cancer patients with different SIRT1 protein expression.Results The mRNA expression of miR-204 gene in cancer tissues was significantly lower than that in paracancer tissues(P<0.05),and the mRNA expression of SIRT1 gene was significantly higher than that in paracancer tissues(P<0.05).Pearson correlation analysis showed that miR-204 was negatively correlated with SIRT1 mRNA expression in both paracancer tissues and cancer tissues(r=-0.647,-0.737,P<0.05).The expression of SIRT1 protein was correlated with the differentiation level,invasion level,lymph node metastasis and TNM stage of colorectal cancer(P<0.05),but not with patient age,gender,tumor size and tumor site(P>0.05).Kaplan-Meier analysis showed that the survival rate of patients with positive expression of SIRT1 in cancer tissues was significantly lower than that of patients with negative expression of SIRT1(χ2=5.001,P=0.025).Conclusion The expression of miR-204 is down-regulated and SIRT1 expression is up-regulated in colorectal cancer tissues,which may jointly promote the metastasis and invasion of colorectal cancer and affect the prognosis of patients through mutual influence.

Objective:To investigate the value of multi-parameter MRI habitat imaging in differentiating human epidermal growth factor receptor 2 (HER2) expression in breast cancer.Methods:This study was cross-sectional. A retrospective analysis was conducted on the clinical and imaging data of 86 cases of primary invasive breast cancer confirmed by pathology at the Second Affiliated Hospital of Shantou University from August 2018 to July 2023. All patients were female, aged 33 to 74 (51±10) years. All patients underwent breast MRI examinations, including T 1WI, T 2WI, diffusion-weighted imaging and dynamic contrast-enhanced MRI. The fuzzy C-means clustering algorithm was applied to cluster analysis of the volume ratio of the extracellular extravascular space (V e), the rate constant (K ep), the volume transfer constant (K trans), and the apparent diffusion coefficient (ADC) for all lesions. Different habitat subregions were segmented based on breast cancer. Blood perfusion of the lesion was quantified through mean values of K trans and K ep, and cell proliferation was evaluated by the mean values of ADC and V e in each subregion. Additionally, the percentage of each subregion′s volume in relation to the total lesion volume was calculated. The Mann-Whitney U test was used to compare the differences in the volume percentages of various habitat subregions between different HER2 expression status. The diagnostic performance of statistically significant parameters in determining HER2 status was evaluated using receiver operating characteristic curves and the area under the curve (AUC). Results:Among the 86 patients with invasive breast cancer, 27 were HER2 positive and 59 were HER2 negative. Among the HER2 negative patients, 37 had low and 22 had zero HER2 expression. The volume percentages of habitat subregions 1, 2, and 3 showed statistically significant differences between HER2 positive and HER2 negative patients ( Z=2.90, P=0.004; Z=-2.04, P=0.042; Z=-2.19, P=0.029), with AUC values of 0.696, 0.638, and 0.648, respectively, for predicting HER2 positive expression. The volume percentage of habitat subregion 2 showed a statistically significant difference between low and zero HER2 expression patients ( Z=2.85, P=0.004), with an AUC value of 0.724 for predicting low versus zero HER2 expression. Conclusions:The volume percentage of habitat subregion 1 effectively distinguishes HER2 status, and the volume percentage of habitat subregion 2 effectively distinguishes between low and zero HER2 expression patients. It has significant clinical implications for identifying potential candidates for HER2-targeted therapy.