1.Effect of RUNX3 on the activation, proliferation, and migration capabilities of hepatic stellate cells
Hui LING ; Xianchen WANG ; Junbo YOU ; Jiahao FAN ; Xiao CUI ; Jiming SHA ; Liquan YU
Acta Universitatis Medicinalis Anhui 2026;61(2):277-284
ObjectiveTo investigate the effects of targeted silencing of Runt-related Transcription Factor 3 (RUNX3) on the proliferation and migration of Mouse Hepatic Stellate Cells (HSCs), as well as subsequent collagen deposition. MethodsMouse hepatic stellate cell line (JS-1) was selected and then morphologically observed and identified under a microscope. After the cells had fully adhered, they were treated with 5 ng/mL of transforming growth factor beta 1 (TGF-β1) for 24 hours to induce hepatic stellate cell activation. Furthermore, a RUNX3 silencing model was established using RUNX3 lentiviral infection. The experiment was divided into four groups: Control group, TGF-β1 group, TGF-β1+siRNA-NC group, and TGF-β1+siRNA-RUNX3 group. Protein expression changes of RUNX3, alpha-smooth muscle actin (α-SMA), and Alpha 1 type I collagen (Collagen I) were detected using Western blot method. Cellular immunofluorescence assays were employed to investigate the deposition changes of α-SMA and RUNX3 in hepatic stellate cells. RT-qPCR was utilized to examine the mRNA expression changes of RUNX3, α-SMA, and Collagen I. The proliferative capacity of hepatic stellate cells was assessed using Edu staining. The migratory ability of hepatic stellate cells was evaluated through wound healing assays and Transwell migration experiments. ResultsCompared with Control group, a significant elevation in RUNX3 was observed in the TGF-β1-induced activated HSCs (P<0.01). Meanwhile, the protein and mRNA levels of fibrosis-related markers and α-SMA and Collagen I were significantly upregulated (P<0.001). Additionally, the proliferation and migration capabilities of HSCs were significantly enhanced (P<0.001). In contrast, when compared to TGF-β1+siRNA-NC group, TGF-β1+siRNA-RUNX3 group exhibited a notable decrease in RUNX3 and other related indicators, such as the protein and mRNA levels of α-SMA and Collagen I (P<0.05). Concurrently, the proliferation and migration capabilities of HSCs were significantly inhibited in TGF-β1+siRNA-RUNX3 group (P<0.01). ConclusionSilencing RUNX3 can inhibit the deposition of collagen and the proliferation and migration of hepatic stellate cells. Conversely, RUNX3 promotes the proliferation and migration capabilities of HSCs, thereby facilitating the activation of HSC.
2.Differences in deltamethrin resistance and kdr gene mutation in Culex tritaeniorhynchus population in and outside the Yellow Sea wetland
Xiao-er ZHANG ; Zhi-ming WU ; Ye TIAN ; Qian CUI ; Yu-qian JI ; Huan WANG ; Shu-juan YANG ; Yi-chao ZHAO ; Yu WANG ; Hua-yu YIN ; Yu DING ; Guo-jin YAN ; Min-sen ZHAO ; Shou-gang ZHANG ; Bing-dong SONG ; Hong-na CHEN ; Jian GAO ; Wei-fang YANG ; Yu-fu ZHANG ; Hui LIU ; Hong-liang CHU
Acta Parasitologica et Medica Entomologica Sinica 2026;33(2):101-107
Objective To gain insights into the biological characteristics of different populations of Culex tritaeniorhynchus within and around the Yellow Sea wetland from the perspective of the occurrence of resistance, we investigated the levels of resistance to deltamethrin and kdr gene mutation in the wetland and its peripheral areas. Methods Specimens were collected from Cx. tritaeniorhynchus populations at two monitoring sites in the Rare Bird National Nature Reserve and Tiaozi Ni Wetland Scenic Area, and also from two populations in Yancheng City and the Liuhe District of Nanjing, and the resistance of these mosquitoes to deltamethrin was determined using the CDC biotest bottle method. For each concentration of deltamethrin assessed, a random subset of exposed specimens was selected for amplification of the kdr gene fragment, followed by Sanger sequencing to identify and analyze resistance-associated mutations. Results The LC50 levels of deltamethrin among mosquitoes from the four populations in Luhe, Yancheng, the Rare Bird National Nature Reserve and the Tiaozi Ni Wetland Scenic Area were 2.048 5, 7.798 2, 3.473 3, and 17.695 5 mg/mL, respectively, with corresponding concentrations of deltamethrin ranging from 0.005 to 5.000,0.050 to 50.000,0.050 to 25.000 and 0.050 to 50.000 mg/mL, respectively. Furthermore, the ranges of the KT50 values were 11.76-107.43, 67.05-216.30,29.77-107.43 and 28.40-329.51 min; the 1-h knockdown rates were 34.58%-99.15%, 9.52%-43.80%, 55.09%-73.01%, and 10.09%-68.07%; and the 24-h mortality rates were 12.15%-67.52%,9.52%-79.56%,13.17%-82.21%, and 11.01%-78.99%, respectively. With respect to kdr gene mutation, we assayed a total of 63,70,59, and 57 mosquitoes for the four populations, for which we detected L1014F mutation frequencies of 14.29%, 35.00%, 20.34%, and 31.58%, respectively, with a majority of these mutations being heterozygous for resistance. In addition, five adult mosquitoes were identified has having synonymous mutations at site 1011[i. e. , AAT(asparagine)mutation to AAC(asparagine)]. Conclusions Our findings revealed the clear resistance of Cx. tritaeniorhynchus to deltamethrin in the Yancheng region of the Yellow Sea wetland, and the resistance phenotype and kdr frequency of Cx. tritaeniorhynchus in the wetland environment were comparable to those of Cx. tritaeniorhynchus in the wetland environment, thereby indicating that the resistance of different populations of Cx. tritaeniorhynchus was homogeneous under the pressure of different insecticide selection within and around the wetland. However, the underlying mechanisms need to be further studied.
3.Effect of ultrasound-guided superior laryngeal nerve block in endotracheal intubation during geriatric general anesthesia surgery
Cui-wen LI ; Yu-qi MIAO ; Hui-wen WANG
Journal of Regional Anatomy and Operative Surgery 2025;34(3):219-223
Objective To evaluate the effect of ultrasound-guided superior laryngeal nerve block(SLNB)in endotracheal intubation during geriatric general anesthesia surgery.Methods A total of 40 elderly patients scheduled for elective general anesthesia surgery were selected,and randomly divided into the observation group(with ultrasound-guided SLNB)and the control group(without any local anesthesia).The mean arterial pressure(MAP),heart rate(HR),blood glucose,and concentrations of epinephrine,norepinephrine,and cortisol before intubation(T0),and 1 minute(T1),5 minutes(T2),and 15 minutes(T3)after intubation were compared between the two groups.The incidences of sore throat and hoarseness 30 minutes and 24 hours after extubation were compared between the two groups.Results The MAP and HR at T1,T2,and T3 of the observation group were significantly lower than those of the control group(P<0.05).The blood glucose and cortisol at T1 of the observation group were significantly lower than those of the control group(P<0.05).The serum concentrations of epinephrine and norepinephrine at T1,T2 and T3 in the observation group were lower than those in the control group(P<0.05).The incidences of sore throat 30 minutes and 24 hours after extubation in the observation group were lower than those in the control group(P<0.05).The incidence of hoarseness 30 minutes after extubation in the observation group was higher than that in the control group(P<0.05);the incidence of hoarseness 24 hours after extubation in the observation group was lower than that in the control group(P<0.05).Conclusion Ultrasound-guided SLNB has good clinical effect,which can effectively improve the stress response caused by endotracheal intubation and reduce intubation-related complications.
4.Comprehensive Review on Rhodiola crenulata: Ethnopharmacology, Phytochemistry, Pharmacological Properties and Clinical Applications.
Rui ZHU ; Cui-Fen FANG ; Shu-Jing ZHANG ; Zhu HAN ; Ge-Hui ZHU ; Shang-Zuo CAI ; Cheng ZHENG ; Yu TANG ; Yi WANG
Chinese journal of integrative medicine 2025;31(8):752-759
5.Expert consensus on digital restoration of complete dentures.
Yue FENG ; Zhihong FENG ; Jing LI ; Jihua CHEN ; Haiyang YU ; Xinquan JIANG ; Yongsheng ZHOU ; Yumei ZHANG ; Cui HUANG ; Baiping FU ; Yan WANG ; Hui CHENG ; Jianfeng MA ; Qingsong JIANG ; Hongbing LIAO ; Chufan MA ; Weicai LIU ; Guofeng WU ; Sheng YANG ; Zhe WU ; Shizhu BAI ; Ming FANG ; Yan DONG ; Jiang WU ; Lin NIU ; Ling ZHANG ; Fu WANG ; Lina NIU
International Journal of Oral Science 2025;17(1):58-58
Digital technologies have become an integral part of complete denture restoration. With advancement in computer-aided design and computer-aided manufacturing (CAD/CAM), tools such as intraoral scanning, facial scanning, 3D printing, and numerical control machining are reshaping the workflow of complete denture restoration. Unlike conventional methods that rely heavily on clinical experience and manual techniques, digital technologies offer greater precision, predictability, and efficacy. They also streamline the process by reducing the number of patient visits and improving overall comfort. Despite these improvements, the clinical application of digital complete denture restoration still faces challenges that require further standardization. The major issues include appropriate case selection, establishing consistent digital workflows, and evaluating long-term outcomes. To address these challenges and provide clinical guidance for practitioners, this expert consensus outlines the principles, advantages, and limitations of digital complete denture technology. The aim of this review was to offer practical recommendations on indications, clinical procedures and precautions, evaluation metrics, and outcome assessment to support digital restoration of complete denture in clinical practice.
Humans
;
Denture, Complete
;
Computer-Aided Design
;
Denture Design/methods*
;
Consensus
;
Printing, Three-Dimensional
6.Expert consensus on the diagnosis and treatment of cemental tear.
Ye LIANG ; Hongrui LIU ; Chengjia XIE ; Yang YU ; Jinlong SHAO ; Chunxu LV ; Wenyan KANG ; Fuhua YAN ; Yaping PAN ; Faming CHEN ; Yan XU ; Zuomin WANG ; Yao SUN ; Ang LI ; Lili CHEN ; Qingxian LUAN ; Chuanjiang ZHAO ; Zhengguo CAO ; Yi LIU ; Jiang SUN ; Zhongchen SONG ; Lei ZHAO ; Li LIN ; Peihui DING ; Weilian SUN ; Jun WANG ; Jiang LIN ; Guangxun ZHU ; Qi ZHANG ; Lijun LUO ; Jiayin DENG ; Yihuai PAN ; Jin ZHAO ; Aimei SONG ; Hongmei GUO ; Jin ZHANG ; Pingping CUI ; Song GE ; Rui ZHANG ; Xiuyun REN ; Shengbin HUANG ; Xi WEI ; Lihong QIU ; Jing DENG ; Keqing PAN ; Dandan MA ; Hongyu ZHAO ; Dong CHEN ; Liangjun ZHONG ; Gang DING ; Wu CHEN ; Quanchen XU ; Xiaoyu SUN ; Lingqian DU ; Ling LI ; Yijia WANG ; Xiaoyuan LI ; Qiang CHEN ; Hui WANG ; Zheng ZHANG ; Mengmeng LIU ; Chengfei ZHANG ; Xuedong ZHOU ; Shaohua GE
International Journal of Oral Science 2025;17(1):61-61
Cemental tear is a rare and indetectable condition unless obvious clinical signs present with the involvement of surrounding periodontal and periapical tissues. Due to its clinical manifestations similar to common dental issues, such as vertical root fracture, primary endodontic diseases, and periodontal diseases, as well as the low awareness of cemental tear for clinicians, misdiagnosis often occurs. The critical principle for cemental tear treatment is to remove torn fragments, and overlooking fragments leads to futile therapy, which could deteriorate the conditions of the affected teeth. Therefore, accurate diagnosis and subsequent appropriate interventions are vital for managing cemental tear. Novel diagnostic tools, including cone-beam computed tomography (CBCT), microscopes, and enamel matrix derivatives, have improved early detection and management, enhancing tooth retention. The implementation of standardized diagnostic criteria and treatment protocols, combined with improved clinical awareness among dental professionals, serves to mitigate risks of diagnostic errors and suboptimal therapeutic interventions. This expert consensus reviewed the epidemiology, pathogenesis, potential predisposing factors, clinical manifestations, diagnosis, differential diagnosis, treatment, and prognosis of cemental tear, aiming to provide a clinical guideline and facilitate clinicians to have a better understanding of cemental tear.
Humans
;
Dental Cementum/injuries*
;
Consensus
;
Diagnosis, Differential
;
Cone-Beam Computed Tomography
;
Tooth Fractures/therapy*
7.Development of a machine learning-based risk prediction model for mild cognitive impairment with spleen-kidney deficiency syndrome in the elderly.
Ya-Ting AI ; Shi ZHOU ; Ming WANG ; Tao-Yun ZHENG ; Hui HU ; Yun-Cui WANG ; Yu-Can LI ; Xiao-Tong WANG ; Peng-Jun ZHOU
Journal of Integrative Medicine 2025;23(4):390-397
OBJECTIVE:
As an age-related neurodegenerative disease, the prevalence of mild cognitive impairment (MCI) increases with age. Within the framework of traditional Chinese medicine, spleen-kidney deficiency syndrome (SKDS) is recognized as the most frequent MCI subtype. Due to the covert and gradual onset of MCI, in community settings it poses a significant challenge for patients and their families to discern between typical aging and pathological changes. There exists an urgent need to devise a preliminary diagnostic tool designed for community-residing older adults with MCI attributed to SKDS (MCI-SKDS).
METHODS:
This investigation enrolled 312 elderly individuals diagnosed with MCI, who were randomly distributed into training and test datasets at a 3:1 ratio. Five machine learning methods, including logistic regression (LR), decision tree (DT), naive Bayes (NB), support vector machine (SVM), and gradient boosting (GB), were used to build a diagnostic prediction model for MCI-SKDS. Accuracy, sensitivity, specificity, precision, F1 score, and area under the curve were used to evaluate model performance. Furthermore, the clinical applicability of the model was evaluated through decision curve analysis (DCA).
RESULTS:
The accuracy, precision, specificity and F1 score of the DT model performed best in the training set (test set), with scores of 0.904 (0.845), 0.875 (0.795), 0.973 (0.875) and 0.973 (0.875). The sensitivity of the training set (test set) of the SVM model performed best among the five models with a score of 0.865 (0.821). The area under the curve of all five models was greater than 0.9 for the training dataset and greater than 0.8 for the test dataset. The DCA of all models showed good clinical application value. The study identified ten indicators that were significant predictors of MCI-SKDS.
CONCLUSION
The risk prediction index derived from machine learning for the MCI-SKDS prediction model is simple and practical; the model demonstrates good predictive value and clinical applicability, and the DT model had the best performance. Please cite this article as: Ai YT, Zhou S, Wang M, Zheng TY, Hu H, Wang YC, Li YC, Wang XT, Zhou PJ. Development of a machine learning-based risk prediction model for mild cognitive impairment with spleen-kidney deficiency syndrome in the elderly. J Integr Med. 2025; 23(4): 390-397.
Humans
;
Cognitive Dysfunction/diagnosis*
;
Aged
;
Male
;
Female
;
Machine Learning
;
Spleen
;
Aged, 80 and over
;
Kidney
;
Medicine, Chinese Traditional
8.Efficacy and safety of acupuncture therapies for adult patients with mild and moderate major depressive disorder: A systematic review and meta-analysis.
Hong-Jun KUANG ; Hui-Sheng YANG ; Yi-Xuan FENG ; Han TANG ; Qi FAN ; Yu-Qin XU ; Shuo CUI ; Richard MUSIL ; Hedi LUXENBURGER ; Yi-Xuan ZHANG ; Hong ZHAO ; Yu-Qing ZHANG
Journal of Integrative Medicine 2025;23(5):471-491
BACKGROUND:
Acupuncture therapy provides a complementary and alternative approach to treating major depressive disorder (MDD), but its efficacy and safety have still not been comprehensively assessed. Recently published systematic reviews remain confusing and inconclusive.
OBJECTIVE:
This systematic review evaluated the efficacy and safety of acupuncture therapy alone or combined with antidepressants for adult patients with mild and moderate MDD.
SEARCH STRATEGY:
Chinese Biomedical Literature Database, China National Knowledge Infrastructure Database, Wanfang Database, Chinese Science and Technology Journal Database, PubMed, Embase, and Cochrane Library were searched from their inceptions to March 2025.
INCLUSION CRITERIA:
Randomized controlled trials that compared acupuncture therapy with antidepressants, or acupuncture therapy plus antidepressants with acupuncture therapy or antidepressants for adult patients with mild and moderate MDD were included.
DATA EXTRACTION AND ANALYSIS:
Five reviewers independently extracted data from original literature using a standardized form, and the data were verified by two reviewers to ensure accuracy. Statistical meta-analyses, publication bias analyses, and subgroup analyses were performed by using Review Manager 5.3 software. The Grading of Recommendations Assessment, Development, and Evaluation approach was used to assess the certainty of the evidence.
RESULTS:
A total of 60 eligible studies including 4675 participants were included. Low-certainty evidence showed that compared with antidepressants, acupuncture therapy (standardized mean difference [SMD] = -0.57; 95% confidence interval [CI] = [-0.87, -0.27]; I2 = 86%; P = 0.006) or acupuncture therapy plus antidepressants (SMD = -1.00; 95% CI = [-1.18, -0.81]; I2 = 77%; P < 0.00001) may reduce the severity of depression at the end of treatment. Low-certainty evidence indicated that compared with acupuncture therapy alone, acupuncture therapy plus antidepressants slightly reduced the severity of depression at the end of treatment (SMD = -0.38; 95% CI = [-0.61, -0.14]; I2 = 18%; P = 0.002). Similar results were also found for acupuncture's relief of insomnia. The reported adverse effects of acupuncture therapy were mild and transient. For most of the subgroup analyses, acupuncture type, scale type, and the course of treatment did not show a significant relative effect.
CONCLUSION
Acupuncture therapy may provide antidepressant effects and relieve insomnia with mild adverse effects for adult patients with mild and moderate MDD. But the certainty of evidence was very low. More high-quality, well designed, large-scale studies with long-term follow-up are needed in the future. Please cite this article as: Kuang HJ, Yang HS, Feng YX, Tang H, Fan Q, Xu YQ, Cui S, Musil R, Luxenburger H, Zhang YX, Zhao H, Zhang YQ. Efficacy and safety of acupuncture therapies for adult patients with mild and moderate major depressive disorder: A systematic review and meta-analysis. J Integr Med. 2025; 23(5):471-491.
Humans
;
Acupuncture Therapy/methods*
;
Depressive Disorder, Major/therapy*
;
Adult
;
Antidepressive Agents/therapeutic use*
;
Treatment Outcome
;
Randomized Controlled Trials as Topic
9.Separate and Combained Associations of PM 2.5 Exposure and Smoking with Dementia and Cognitive Impairment.
Lu CUI ; Zhi Hui WANG ; Yu Hong LIU ; Lin Lin MA ; Shi Ge QI ; Ran AN ; Xi CHEN ; Hao Yan GUO ; Yu Xiang YAN
Biomedical and Environmental Sciences 2025;38(2):194-205
OBJECTIVE:
The results of limited studies on the relationship between environmental pollution and dementia have been contradictory. We analyzed the combined effects of PM 2.5 and smoking on the prevalence of dementia and cognitive impairment in an elderly community-dwelling Chinese population.
METHODS:
We assessed 24,117 individuals along with the annual average PM 2.5 concentrations from 2012 to 2016. Dementia was confirmed in the baseline survey at a qualified clinical facility, and newly suspected dementia was assessed in 2017, after excluding cases of suspected dementia in 2015. National census data were used to weight the sample data to reflect the entire population in China, with multiple logistic regression performed to analyze the combined effects of PM 2.5 and smoking frequency on dementia and cognitive impairment.
RESULTS:
Individuals exposed to the highest PM 2.5 concentration and smoked daily were at higher risk of dementia than those in the lowest PM 2.5 concentration group ( OR, 1.603; 95% CI [1.626-1.635], P < 0.0001) and in the nonsmoking group ( OR, 1.248; 95% CI [1.244-1.252]; P < 0.0001). Moderate PM 2.5 exposure and occasional smoking together increased the short-term risk of cognitive impairment. High-level PM 2.5 exposure and smoking were associated with an increased risk of dementia, so more efforts are needed to reduce this risk through environmental protection and antismoking campaigns.
CONCLUSION
High-level PM 2.5 exposure and smoking were associated with an increased risk of dementia. Lowering the ambient PM 2.5, and smoking cessation are recommended to promote health.
Humans
;
Dementia/etiology*
;
Male
;
Aged
;
Female
;
Cognitive Dysfunction/etiology*
;
China/epidemiology*
;
Particulate Matter/analysis*
;
Smoking/epidemiology*
;
Air Pollutants/analysis*
;
Aged, 80 and over
;
Environmental Exposure/adverse effects*
;
Prevalence
;
Middle Aged
10.Air Pollution and Cardiac Biomarkers in Heart Failure: A Scoping Review.
Gang LI ; Yan Hui JIA ; Yun Shang CUI ; Shao Wei WU ; Tong Yu MA ; Yun Xing JIANG ; Hong Bing XU ; Yu Hui ZHANG ; Mary A FOX
Biomedical and Environmental Sciences 2025;38(11):1430-1443
Ambient air pollution is increasingly being recognized as a risk factor for heart failure; however, its effects on cardiac biomarkers remain unclear. This scoping review assessed the existing evidence on the association between air pollution and cardiac biomarkers in heart failure, described the key concepts, synthesized data, and identified research gaps. Following the PRISMA-ScR guidelines, PubMed, Embase, Web of Science, and CNKI databases were searched for studies on air pollution, heart failure, and biomarkers. A total of 765 records were screened, and 81 full texts were assessed for eligibility, resulting in 15 studies. The results showed that the exposure to particulate matter was associated with elevated N-terminal pro-B-type natriuretic peptide and troponin levels. Several studies have linked particulate matter exposure to a higher cardiovascular risk and heart failure biomarkers. Inflammatory and oxidative stress markers were consistently elevated across studies, supporting the biological relevance of these associations. However, few studies have focused specifically on populations with heart failure or clinically relevant biomarkers, and the evidence for gaseous pollutants remains inconclusive. These findings highlight the need to integrate environmental risk assessment into heart failure care and inform policy efforts to reduce the pollution-related cardiovascular burden. Further research should address these gaps through improved exposure assessments and the integration of mechanistic evidence.
Heart Failure/epidemiology*
;
Biomarkers/metabolism*
;
Humans
;
Air Pollution/adverse effects*
;
Air Pollutants/adverse effects*
;
Particulate Matter/adverse effects*
;
Environmental Exposure
;
Natriuretic Peptide, Brain/blood*
;
Oxidative Stress
;
Troponin/blood*


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