1.Effect of Runmu Dihuang Decoction on Perimenopausal Dry Eye in Rats with Liver-kidney Yin Deficiency Syndrome Based on SIRT3/HIF-1α/NF-κB Signaling Pathway
Sainan TIAN ; Wei MA ; Yao CHEN ; Yu CAO ; Guicheng LIU ; Pei LIU ; Junxian LEI ; Qinghua PENG ; Jun PENG
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(7):201-210
ObjectiveTo investigate the mechanisms of Runmu Dihuang decoction (RMDHD) in treating perimenopausal dry eye with liver-kidney Yin deficiency syndrome based on the silent information regulator 3 (SIRT3)/hypoxia-inducible factor-1α (HIF-1α)/nuclear factor-κB (NF-κB) signaling pathway. MethodsSixty female Sprague-Dawley rats were randomly divided into six groups (n=10 per group): Sham operation group, model group, sodium hyaluronate eye drop group, and low-, medium-, and high-dose RMDHD groups (5.625, 11.25, 22.50 g·kg-1). Except for the sham operation group, all rats underwent bilateral ovariectomy and were administered 0.1% benzalkonium chloride eye drops combined with long-term chronic irritation to establish a perimenopausal dry eye model with liver-kidney Yin deficiency syndrome. Drug administration began in the 11th week after modeling and continued for 21 days. General conditions, screen-grip test scores, tear secretion volume, tear film breakup time (TFBUT), and corneal fluorescein staining were recorded. Serum levels of reactive oxygen species (ROS), follicle-stimulating hormone (FSH), estradiol (E2), and progesterone (PROG) were measured by enzyme-linked immunosorbent assay (ELISA). Pathological changes in the lacrimal glands, corneas, and uteri were observed using hematoxylin-eosin (HE) staining. Protein expression levels of SIRT3, HIF-1α, phosphorylated NF-κB p65 (p-NF-κB p65), and total NF-κB p65 in the lacrimal glands were detected by Western blot. The expression of inflammatory cytokines interleukin-1β (IL-1β) and tumor necrosis factor-α (TNF-α) in the lacrimal glands was assessed by immunohistochemistry (IHC). ResultsAfter model establishment, no significant differences were observed among the groups except the sham operation group. Compared with the sham operation group, the other groups exhibited slowed movement, dull responses, increased irritability, reduced body weight, elevated rectal temperature, decreased screen-grip test scores, reduced tear secretion, and significantly shortened TFBUT (P<0.05). After treatment, compared with the model group, the sodium hyaluronate eye drop group and all RMDHD groups showed improved general conditions, significantly increased tear secretion (P<0.05), prolonged TFBUT (P<0.05), and elevated screen-grip test scores (P<0.05). Serum ROS and FSH levels were significantly decreased, while E2 and PROG levels were significantly increased (P<0.05). Pathological damage to the cornea, lacrimal glands, and uterus was ameliorated. In addition, protein expression levels of SIRT3 and HIF-1α in the lacrimal glands were significantly upregulated (P<0.05), whereas the expression of p-NF-κB p65, IL-1β, and TNF-α was significantly downregulated (P<0.05). ConclusionRMDHD increases tear secretion and TFBUT, improves lacrimal gland and corneal injury, and alleviates dry eye symptoms in a perimenopausal dry eye rat model with liver-kidney Yin deficiency syndrome. The underlying mechanism may be related to regulation of the SIRT3/HIF-1α/NF-κB signaling pathway, inhibition of oxidative stress and inflammatory responses, and reduction of ocular surface tissue damage.
2.Frontier technologies and development trends of network pharmacology: a patent bibliometric analysis.
Li TAO ; Zhi-Peng KE ; Tuan-Jie WANG ; Zhen-Zhong WANG ; Liang CAO ; Wei XIAO
China Journal of Chinese Materia Medica 2025;50(11):3070-3078
This study systematically analyzed the global research landscape, technological composition, and core patents in the field of networks target and network pharmacology, and proposes further suggestions based on the IncoPat patent citation database and VOSviewer bibliometric network visualization tool. Using patent literature metrics and scientific knowledge mapping method, technological innovation pathways, research hotspots, and future directions in this field were further revealed. In particular, this field is moving towards data-driven, intelligent, and systematic approaches. Patent analysis indicated that most patent applications in this domain focused on traditional Chinese medicine(TCM), which have provided key engineering technical approaches to explore and solve complex problems of TCM. By integrating big data and artificial intelligence technologies, network targets and network pharmacology have conferred high-precision screening and quality control of key components and targets in herbal formulations and prescriptions, accelerating the clinical translation and industrialization of TCM-based new drugs and health products with medicine-food homology. Therefore, it is essential to optimize the patent protection system and establish integrated technology platforms in this field for ensuring the competitiveness of technological achievements in research and clinical application. These efforts will advance the widespread application and high-quality development of TCM modernization, precision medicine, and innovative drug discovery.
Bibliometrics
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Patents as Topic
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Humans
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Medicine, Chinese Traditional
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Network Pharmacology/trends*
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Drugs, Chinese Herbal/pharmacology*
3.Evidence evaluation of 12 commonly-used Chinese patent medicines in treatment of osteoporosis based on Eff-iEC and GRADE.
Guang-Cheng WEI ; Zhi-Long ZHANG ; Xin-Wen ZHANG ; Ye LUO ; Jin-Jie SHI ; Rui MA ; Jie-Yang DU ; Ke ZHU ; Jiu-Cheng PENG ; Yu-Long YA ; Wei CAO
China Journal of Chinese Materia Medica 2025;50(15):4372-4385
This study applied the grading of recommendations assessment, development and evaluation(GRADE) system and the integrated evidence chain-based effectiveness evaluation of traditional Chinese medicine(Eff-iEC) to evaluate the evidence for 12 commonly used Chinese patent medicines for the treatment of osteoporosis, which are frequently recommended in guidelines or expert consensuses. The results showed that Xianling Gubao Capsules/Tablets were rated as C(low-level evidence) according to the GRADE system, and as BA~+B~+(intermediate evidence) according to the Eff-iEC system. Jintiange Capsules were rated as C(low-level evidence) by the GRADE system, and as AA~+B(high-level evidence) by the Eff-iEC system. Gushukang Granules/Capsules were rated as C(low-level evidence) by GRADE system, and as BA~+B~+(intermediate evidence) by Eff-iEC system. Zuogui Pills were rated as C(low-level evidence) by GRADE system, and as AA~(++)B~+(high-level evidence) by Eff-iEC system. Qianggu Capsules were rated as D(extremely low-level evidence) by GRADE system, and as AA~+B~+(high-level evidence) by Eff-iEC system. Zhuanggu Zhitong Capsules were rated as D(extremely low-level evidence) by GRADE system, and as BA~+B(intermediate evidence) by Eff-iEC system. Jingui Shenqi Pills were rated as D(extremely low-level evidence) by GRADE system, and as AA~+B(high-level evidence) by Eff-iEC system. Quanduzhong Capsules were rated as D(extremely low-level evidence) by GRADE system, and as AD~+B~+(low-level evidence) by Eff-iEC system. Epimedium Total Flavones Capsules were rated as D(extremely low-level evidence) by GRADE system, and as AAB~+(high-level evidence) by Eff-iEC system. Yougui Pills were rated as D(extremely low-level evidence) by GRADE system, and as AA~(++)B~(+ )(high-level evidence) by Eff-iEC system. Qigu Capsules were rated as D(extremely low-level evidence) by GRADE system, and as BB~+B(intermediate evidence) by Eff-iEC system. Liuwei Dihuang Pills were rated as C(low-level evidence) by GRADE system, and as AA~(++)B~+(high-level evidence) by Eff-iEC system. Overall, the Eff-iEC system provides a more comprehensive assessment of the effectiveness evidence for traditional Chinese medicine(TCM) than the GRADE system. However, it still has certain limitations that hinder its wider promotion and application. In terms of clinical evidence evaluation, both the Eff-iEC and GRADE systems reflect that the current clinical research quality on Chinese patent medicines for the treatment of osteoporosis is generally low. High-quality clinical trials are still needed in the future to further validate clinical efficacy.
Drugs, Chinese Herbal/therapeutic use*
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Osteoporosis/drug therapy*
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Humans
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Nonprescription Drugs/therapeutic use*
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Evidence-Based Medicine
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Medicine, Chinese Traditional
4.Expert consensus on the prevention and treatment of enamel demineralization in orthodontic treatment.
Lunguo XIA ; Chenchen ZHOU ; Peng MEI ; Zuolin JIN ; Hong HE ; Lin WANG ; Yuxing BAI ; Lili CHEN ; Weiran LI ; Jun WANG ; Min HU ; Jinlin SONG ; Yang CAO ; Yuehua LIU ; Benxiang HOU ; Xi WEI ; Lina NIU ; Haixia LU ; Wensheng MA ; Peijun WANG ; Guirong ZHANG ; Jie GUO ; Zhihua LI ; Haiyan LU ; Liling REN ; Linyu XU ; Xiuping WU ; Yanqin LU ; Jiangtian HU ; Lin YUE ; Xu ZHANG ; Bing FANG
International Journal of Oral Science 2025;17(1):13-13
Enamel demineralization, the formation of white spot lesions, is a common issue in clinical orthodontic treatment. The appearance of white spot lesions not only affects the texture and health of dental hard tissues but also impacts the health and aesthetics of teeth after orthodontic treatment. The prevention, diagnosis, and treatment of white spot lesions that occur throughout the orthodontic treatment process involve multiple dental specialties. This expert consensus will focus on providing guiding opinions on the management and prevention of white spot lesions during orthodontic treatment, advocating for proactive prevention, early detection, timely treatment, scientific follow-up, and multidisciplinary management of white spot lesions throughout the orthodontic process, thereby maintaining the dental health of patients during orthodontic treatment.
Humans
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Consensus
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Dental Caries/etiology*
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Dental Enamel/pathology*
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Tooth Demineralization/etiology*
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Tooth Remineralization
5.Guidelines for Medical Examination for Cancer in Health Examination Agency(2025 Edition)
Wanqing CHEN ; Zhijian XU ; Qiang ZENG ; Ni LI ; Wei CAO ; Kexin CHEN ; Feng SUN ; Yuping LIU ; Yutong HE ; Peng WANG ; Shiqi TANG ; Qun ZHANG ; Kaifeng PAN ; Jie HE
China Cancer 2025;34(9):667-697
Cancer incidence in China has been rising steadily,with a particularly heavy burden from several high-prevalence malignancies.Medical examination for cancer plays a critical role in the early detection of cancer,precancerous lesions,and precursor conditions,thereby facilitating timely diagnosis and intervention.Such examination also addresses the growing demand for person-alized cancer screening services among diverse population groups.The development of evidence-based,context-specific cancer screening guidelines is essential to enhance the standardization,quality,and equity of preventive screening practices across the country,ultimately improving out-comes in early cancer detection and treatment.Guided by the Department of Medical Emergency Response of the National Health Commission,the Guidelines for Medical Examination for Cancer in Health Examination Agency(2025 Edition)were developed under the leadership of the National Cancer Center.A multidisciplinary panel of experts formulated the guidelines in accordance with the principles and methodology of the World Health Organization Handbook for Guideline Deve-lopment.The guidelines provide evidence-based recommendations on key clinical domains:target cancers and populations,overall screening workflow,screening protocols,diagnostic technolo-gies,result interpretation,follow-up procedures,and quality control.The primary objective is to standardize cancer screening practices in health examination agency and strengthen China's ca-pacity for prevention and control of high-burden cancers.
6.Clinical guideline for diagnosis and treatment of nonunion of osteoporotic vertebral fractures (version 2025)
Haipeng SI ; Le LI ; Junjie NIU ; Wencan ZHANG ; Fuxin WEI ; Jinqiu YUAN ; Qiang YANG ; Hongli WANG ; Guangchao WANG ; Shihong CHEN ; Yunzhen CHEN ; Xiaoguang CHENG ; Jianwen DONG ; Shiqing FENG ; Rui GU ; Yong HAI ; Tianyong HOU ; Bo HUANG ; Xiaobing JIANG ; Lei ZANG ; Chunhai LI ; Nianhu LI ; Hua LIN ; Hongjian LIU ; Peng LIU ; Xinyu LIU ; Sheng LU ; Shibao LU ; Chunshan LUO ; Lvy CHAOLIANG ; Lvy WEIJIA ; Xuexiao MA ; Wei MEI ; Chunyang MENG ; Cailiang SHEN ; Chunli SONG ; Ruoxian SONG ; Jiacan SU ; Honglin TENG ; Hui SHENG ; Beiyu WANG ; Bingwu WANG ; Liang WANG ; Xiangyang WANG ; Nan WU ; Guohua XU ; Yayi XIA ; Jin XU ; Youjia XU ; Jianzhong XU ; Cao YANG ; Maowei YANG ; Zibin YANG ; Xiaojian YE ; Hailong YU ; Xijie YU ; Hua YUE ; Zhili ZENG ; Xinli ZHAN ; Hui ZHANG ; Peixun ZHANG ; Wei ZHANG ; Zhenlin ZHANG ; Jianguo ZHANG ; Tengyue ZHU ; Qiang LIU ; Huilin YANG
Chinese Journal of Trauma 2025;41(10):932-945
Nonunion of osteoporotic vertebral fractures (OVF), predominantly affecting the elderly, can lead to intractable pain, vertebral collapse, progressive kyphotic deformity, and neurological impairment, significantly compromising patients′ quality of life. There exists considerable debate on diagnosis and management of OVF, encompassing key issues such as clinical diagnosis and staging criteria for nonunion, surgical indications and procedure selection, and postoperative rehabilitation planning. Currently, there lacks standardized clinical guideline and expert consensus on the diagnosis and management of OVF nonunion in China. To address this gap, Minimally Invasive Surgery Group of Chinese Orthopedic Association, Osteoporosis Committee of Chinese Association of Orthopedic Surgeons, Prevention and Rehabilitation Committee for Osteoporosis of Chinese Association of Rehabilitation Medicine and Minimally Invasive Orthopedic Surgery Branch of China Association for Geriatric Care jointly organized domestic experts in spinal surgery, endocrinology, and rehabilitation to formulate the Clinical guideline for the diagnosis and treatment for nonunion of osteoporotic vertebral fractures ( version 2025), based on existing literature and clinical experience and adhering to principles of scientific rigor and practicality. The guideline provided 13 evidence-based recommendations encompassing diagnosis and treatment of OVF nonunion, aiming to standardize its clinical management.
7.Construction and performance evaluation of a prediction model for postoperative poor in-hospital prognosis in patients with traumatic brain injury
Tao MEI ; Zheyong JIA ; Lie CHEN ; Peng CAO ; Wei XIAO ; Weiqiang MAO ; Jianwu GONG ; Lixin XU
Chinese Journal of Trauma 2025;41(11):1048-1058
Objective:To construct a prediction model for postoperative poor in-hospital prognosis in patients with traumatic brain injury (TBI) and evaluate its predictive performance.Methods:A retrospective case control study was conducted to analyze the clinical data of 1 120 TBI patients admitted to Changde Hospital Affiliated to Xiangya Medical College of Central South University from May 2019 to December 2024. The patients were divided into the training set ( n=784) and verification set ( n=336) at a ratio of 7∶3. Based on the Glasgow outcome scale-extended (GOS-E) at discharge, the training set was stratified into favorable prognosis group ( n=335, GOS-E 5-8 points) and poor prognosis group ( n=449, GOS-E 1-4 points). The two groups in the training set were compared in terms of general baseline indicators, TBI-related clinical indicators, and admission laboratory blood test results. Univariate analysis and Lasso regression analysis were employed to screen risk factors associated with postoperative poor in-hospital prognosis in TBI patients. Multivariate Logistic regression analysis was used to determine independent risk factors and construct a regression equation. The regression equation was presented using R language to create a visual nomogram for predicting postoperative poor in-hospital prognosis in TBI patients. In both the training set and verification set, the predictive performance of the model was evaluated by calculating the area under the receiver operating characteristic (ROC) curve (AUC), plotting calibration curves, and performing decision curve analysis (DCA). Results:The results of the univariate analysis indicated that the age, Charlson complication index (CCI), time from trauma to admission, time from trauma to operation, cause of injury, abbreviated injury scale (AIS) (head and neck), injury severity score (ISS), admission Glasgow coma scale (GCS), admission pupil responsiveness, multiple craniocerebral injuries, subdural hematoma, intracerebral hematoma, intraventricular hemorrhage, subarachnoid hemorrhage, decompressive craniotomy, intraoperative blood loss, intraoperative blood transfusion, traumatic cerebral infarction, postoperative delayed bleeding, epilepsy seizures, as well as the following admission tested results including red blood cell count, white blood cell count, platelet count, neutrophil percentage, percentage of lymphocytes, albumin, total bilirubin, urea nitrogen, thrombin time (TT), prothrombin time (PT), international standardized ratio (INR), glutamic aminotransferase, alanine aminotransferase, creatinine, and blood glucose were statistically different between the two groups in the training set ( P<0.05). Lasso regression analysis suggested 14 risk factors of age, CCI, cause of injury, head and neck AIS, ISS, admission GCS, admission pupil responsiveness, multiple craniocerebral injuries, subdural hematoma, intracerebral hematoma, intraoperative blood loss, admission platelet count, admission albumin, admission blood glucose for postoperative poor in-hospital prognosis. The results of the multivariate Logistic regression analysis showed that age ( OR=1.02, 95% CI 1.00, 1.03, P<0.01), CCI ( OR=1.46, 95% CI 1.02, 2.09, P<0.05), head and neck AIS ( OR=1.43, 95% CI 1.11, 1.85, P<0.01), ISS ( OR=2.16, 95% CI 1.39, 3.35, P<0.01), admission GCS ( OR=1.59, 95% CI 1.19, 2.13, P<0.01), intracerebral hematoma ( OR=4.41, 95% CI 2.15, 9.44, P<0.01), intraoperative blood loss ( OR=1.05, 95% CI 1.00, 1.09, P<0.05), admission platelet count ( OR=0.98, 95% CI 0.97, 0.99, P<0.01), admission blood glucose ( OR=1.08, 95% CI 1.02, 1.15, P<0.05) could be the main risk factors to construct a prediction model for postoperative poor in-hospital prognosis in TBI patients. Meanwhile, a regression equation was constructed: Logit[ P/(1- P)]=-2.4+ 0.02×"age"+0.38×"CCI"+0.36×"head and neck AIS"+0.77×"ISS"+0.47×"admission GCS"+1.48×"intracerebral hematoma"+0.05×intraoperative blood loss-0.02×admission platelet count+0.08×admission blood glucose. In the training set, the predictive model for poor postoperative in-hospital prognosis in TBI patients achieved an AUC of 0.87 (95% CI 0.84, 0.89), with a Youden′s index of 0.57, sensitivity of 73.70%, and specificity of 83.00%. In the verification set, the model showed an AUC of 0.80 (95% CI 0.76, 0.85), with a Youden′s index of 0.63, sensitivity of 65.20%, and specificity of 77.90%. In the training set, the Brier score for the calibration curve was 0.14 (95% CI 0.13, 0.16). In the verification set, the Brier score for the calibration curve was 0.18 (95% CI 0.15, 0.20). The DCA diagram indicated that the nomogram prediction model provided high clinical net benefit for predicting postoperative poor in-hospital prognosis in TBI patients. Conclusion:The prediction model for postoperative poor in-hospital prognosis in TBI patients, constructed based on age, CCI, head and neck AIS, ISS, admission GCS, intracerebral hematoma, intraoperative blood loss, admission platelet count, and admission blood glucose, exhibits good predictive performance.
8.Guideline for Adult Weight Management in China
Weiqing WANG ; Qin WAN ; Jianhua MA ; Guang WANG ; Yufan WANG ; Guixia WANG ; Yongquan SHI ; Tingjun YE ; Xiaoguang SHI ; Jian KUANG ; Bo FENG ; Xiuyan FENG ; Guang NING ; Yiming MU ; Hongyu KUANG ; Xiaoping XING ; Chunli PIAO ; Xingbo CHENG ; Zhifeng CHENG ; Yufang BI ; Yan BI ; Wenshan LYU ; Dalong ZHU ; Cuiyan ZHU ; Wei ZHU ; Fei HUA ; Fei XIANG ; Shuang YAN ; Zilin SUN ; Yadong SUN ; Liqin SUN ; Luying SUN ; Li YAN ; Yanbing LI ; Hong LI ; Shu LI ; Ling LI ; Yiming LI ; Chenzhong LI ; Hua YANG ; Jinkui YANG ; Ling YANG ; Ying YANG ; Tao YANG ; Xiao YANG ; Xinhua XIAO ; Dan WU ; Jinsong KUANG ; Lanjie HE ; Wei GU ; Jie SHEN ; Yongfeng SONG ; Qiao ZHANG ; Hong ZHANG ; Yuwei ZHANG ; Junqing ZHANG ; Xianfeng ZHANG ; Miao ZHANG ; Yifei ZHANG ; Yingli LU ; Hong CHEN ; Li CHEN ; Bing CHEN ; Shihong CHEN ; Guiyan CHEN ; Haibing CHEN ; Lei CHEN ; Yanyan CHEN ; Genben CHEN ; Yikun ZHOU ; Xianghai ZHOU ; Qiang ZHOU ; Jiaqiang ZHOU ; Hongting ZHENG ; Zhongyan SHAN ; Jiajun ZHAO ; Dong ZHAO ; Ji HU ; Jiang HU ; Xinguo HOU ; Bimin SHI ; Tianpei HONG ; Mingxia YUAN ; Weibo XIA ; Xuejiang GU ; Yong XU ; Shuguang PANG ; Tianshu GAO ; Zuhua GAO ; Xiaohui GUO ; Hongyi CAO ; Mingfeng CAO ; Xiaopei CAO ; Jing MA ; Bin LU ; Zhen LIANG ; Jun LIANG ; Min LONG ; Yongde PENG ; Jin LU ; Hongyun LU ; Yan LU ; Chunping ZENG ; Binhong WEN ; Xueyong LOU ; Qingbo GUAN ; Lin LIAO ; Xin LIAO ; Ping XIONG ; Yaoming XUE
Chinese Journal of Endocrinology and Metabolism 2025;41(11):891-907
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.
9.Effectiveness of two types of micro-focused ultrasound devices in combination with botulinum toxin for facial rejuvenation
Haijie WANG ; Danyang CHEN ; Pan PENG ; Ling ZHOU ; Min WANG ; Lili YE ; Yulin CAO ; Wei ZHOU ; Jia GUO ; Liang GUO
Chinese Journal of Medical Aesthetics and Cosmetology 2025;31(2):131-137
Objective:To investigate the efficacy of two types of micro-focused ultrasound devices combined with botulinum toxin type A (BoNT-A) injection for facial rejuvenation.Methods:A retrospective study was conducted, including 60 female patients aged 28-70 (41.3±7.9) years, who received facial rejuvenation treatment at the Department of Plastic and Reconstructive Surgery, Zhongnan Hospital of Wuhan University, from April 2023 to April 2024. Patients were divided into two groups based on the treatment method: the control group (received only micro-focused ultrasound treatment, n=30) and the combined group (received both micro-focused ultrasound and BoNT-A injection, n=30). Additionally, patients were further categorized into four subgroups based on the type of micro-focused ultrasound device used: Peninsula Microultra? (PM) device group ( n=15), Intelligent Ultrasound? (IU) device group ( n=15), PM device + BoNT-A injection group ( n=15), and IU device + BoNT-A injection group ( n=15). The severity of facial wrinkles was assessed using the wrinkle severity rating scale (WSRS), the Merz aesthetic scale (MAS), and the global aesthetic improvement scale (GAIS) at baseline and 6 months post-treatment. Adverse event rates were also recorded. Results:At 6 months post-treatment, the combined group showed significantly lower WSRS and MAS scores than the control group (both P<0.001). No significant differences were found between the PM and IU device groups, or between the PM + BoNT-A and IU + BoNT-A groups regarding WSRS and MAS scores (all P>0.05). Self-reported GAIS improvement was 56.7% (17/30) for the control group and 80.0% (24/30) for the combined group, with the combined group showing superior results ( P=0.015). The physician-assessed GAIS improvement was 70.0% (21/30) for the control group and 96.7% (29/30) for the combined group, again with the combined group showing superior results ( P=0.007). No significant differences were found in self-reported or physician-assessed GAIS improvement between the PM and IU device groups, or between the PM + BoNT-A and IU + BoNT-A groups (all P>0.05). No severe adverse reactions, such as blisters, scabbing, purpura, bruising, scarring, peripheral facial paralysis, allergies, muscle weakness, dysphagia, or dysphonia, were observed in any patient. Conclusion:The combination of micro-focused ultrasound and BoNT-A injection for facial rejuvenation is more effective than micro-focused ultrasound alone, while there are no significant differences in efficacy between the two micro-focused ultrasound devices.
10.Study on the correlation between high expression of GIT1 and M2 macrophage infiltration and prognosis in hepatocellular carcinoma
Bingbing SU ; Chi ZHANG ; Baosen WEI ; Jun CAO ; Rui PENG ; Daoyuan TU ; Guoqing JIANG ; Shengjie JIN ; Dousheng BAI
Chinese Journal of Hepatology 2025;33(3):237-247
Objective:To investigate the expression, prognosis, and role of G protein-coupled receptor kinase-interacting protein 1 (GIT1) in patients with hepatocellular carcinoma (HCC) tumor micro environments.Methods:Clinical data of 140 cases who underwent complete HCC surgical resection from January 2015 to December 2021 in Subei People's Hospital affiliated to Yangzhou University, Jiangsu Province, were included. Tumor tissue and adjacent tissue samples were collected for immunohistochemical analysis. The patients were divided into a high expression group and a low expression group according to the expression of GIT1. Cox regression was used to analyze the risk factors for prognosis in patients with HCC. Fifteen pairs of cancer tissues and adjacent tissues were randomly matched for quantitative polymerase chain reaction (RT-PCR), western blot (WB), and immunohistochemical analysis. GITI knockout or overexpression cell lines of human hepatoma cell lines HepG2, HuH7 and MHCC97-H, and mouse hepatoma cell line Hepa 1-6 were constructed. The effects on M2 macrophage polarization were analyzed by flow cytometry. A mice tumor model was constructed. The growth curve of tumor tissue overexpressing GIT1 was plotted. Bioinformatics analysis of the Cancer Genome Atlas (TCGA) data was performed using OncoLnc, Kaplan-Meier Plotter, UALCAN, and GEPIA databases to explore the differential expression of GIT1 in HCC patients and its effect on prognosis.Results:Bioinformatics analysis showed that the expression level of GIT1 was significantly higher in HCC tissues than in normal liver tissues ( P<0.05). RT-PCR and WB experiments showed that GIT1 was highly expressed in HCC. The follow-up results showed that high expression of GIT1 was associated with poor prognosis in patients with HCC. The high expression of GIT1 was an independent risk factor for the prognosis in patients with HCC ( HR=2.562, 95% CI: 0.231-0.704, P<0.05). Functional enrichment analysis combined with TIMER database analysis found that GIT1 expression level was associated with multiple immune cell infiltrations in HCC, but the correlation coefficient with macrophage infiltration was the highest ( r=0.545, P<0.001). Mice tumorigenesis experiments showed that the tumor volume of GIT1-overexpressing mice was significantly increased ( P<0.05). Additionally, flow cytometry indicated that after GIT1 overexpression, there was a low degree of M1 infiltration/polarization (wild type: 5.06%±0.11%, overexpression type: 4.09%±0.04%; P<0.05) and a high degree of M2 infiltration/polarization (wild type: 10.20%±0.33%, overexpression type: 14.7%±0.12%; P<0.05). Conclusion:GIT1 serves as a prognostic biomarker in HCC, promoting tumor progression through its high expression and enhances M2 macrophage infiltration.

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