1.Treatment Principles and Paradigm of Diabetic Microvascular Complications Responding Specifically to Traditional Chinese Medicine
Anzhu WANG ; Xing HANG ; Lili ZHANG ; Xiaorong ZHU ; Dantao PENG ; Ying FAN ; Min ZHANG ; Wenliang LYU ; Guoliang ZHANG ; Xiai WU ; Jia MI ; Jiaxing TIAN ; Wei ZHANG ; Han WANG ; Yuan XU ; .LI PINGPING ; Zhenyu WANG ; Ying ZHANG ; Dongmei SUN ; Yi HE ; Mei MO ; Xiaoxiao ZHANG ; Linhua ZHAO
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(5):272-279
To explore the advantages of traditional Chinese medicine (TCM) and integrative TCM-Western medicine approaches in the treatment of diabetic microvascular complications (DMC), refine key pathophysiological insights and treatment principles, and promote academic innovation and strategic research planning in the prevention and treatment of DMC. The 38th session of the Expert Salon on Diseases Responding Specifically to Traditional Chinese Medicine, hosted by the China Association of Chinese Medicine, was held in Beijing, 2024. Experts in TCM, Western medicine, and interdisciplinary fields convened to conduct a systematic discussion on the pathogenesis, diagnostic and treatment challenges, and mechanism research related to DMC, ultimately forming a consensus on key directions. Four major research recommendations were proposed. The first is addressing clinical bottlenecks in the prevention and control of DMC by optimizing TCM-based evidence evaluation systems. The second is refining TCM core pathogenesis across DMC stages and establishing corresponding "disease-pattern-time" framework. The third is innovating mechanism research strategies to facilitate a shift from holistic regulation to targeted intervention in TCM. The fourth is advancing interdisciplinary collaboration to enhance the role of TCM in new drug development, research prioritization, and guideline formulation. TCM and integrative approaches offer distinct advantages in managing DMC. With a focus on the diseases responding specifically to TCM, strengthening evidence-based support and mechanism interpretation and promoting the integration of clinical care and research innovation will provide strong momentum for the modernization of TCM and the advancement of national health strategies.
2.Cardiometabolic risk factor trends across different occupational groups in nine provinces of China, 2009–2018
Yu WU ; Hongru JIANG ; Lixin HAO ; Liusen WANG ; Weiyi LI ; Shaoshunzi WANG ; Zijian WANG ; Zhihong WANG ; Huijun WANG ; Bing ZHANG ; Lili CHEN ; Gangqiang DING
Journal of Environmental and Occupational Medicine 2026;43(2):153-159
Background With China's socioeconomic development, significant lifestyle changes have occurred among occupational groups, leading to alterations in cardiovascular metabolic risk factors. However, few studies have examined the secular trends of these risk factors in China's working population. Objective To analyze the trends in cardiovascular metabolic risk factors among the occupational population in nine provinces of China from 2009 to 2018, and to explore the associations between different occupational types and these risk factors, along with their clustering patterns, thereby providing evidence for targeted interventions. Methods This study utilized data from the China Health and Nutrition Survey (CHNS) in 2009, 2015, and 2018. The dataset covered
3.Change trend of compound obesity among different occupational groups in nine provinces of China from 1993 to 2018
Lixin HAO ; Yu WU ; Liusen WANG ; Lili CHEN ; Boya ZHAO ; Zhongting LU ; Zhihong WANG ; Bing ZHANG ; Hongru JIANG ; Huijun WANG
Journal of Environmental and Occupational Medicine 2026;43(2):160-167
Background The global prevalence of obesity is on the rise and is closely associated with various chronic non-communicable diseases such as cardiovascular diseases and diabetes. There is a relative lack of long-term dynamic studies on compound obesity among occupational populations. Objective To explore the changing trends of compound obesity among different occupational groups aged 18–59 years in nine provinces (autonomous regions, municipalities) of China from 1993 to 2018, and to provide a scientific basis for formulating targeted weight management strategies for occupational populations. Methods A total of
4.Association between changes in body mass index and hypertension among different occupational groups
Zhongting LU ; Lili CHEN ; Hongru JIANG ; Lixin HAO ; Liusen WANG ; Weiyi LI ; Yu WU ; Huijun WANG ; Bing ZHANG ; Jiguo ZHANG ; Zhihong WANG
Journal of Environmental and Occupational Medicine 2026;43(2):168-173
Background With rising obesity rates and earlier hypertension onset among occupational populations, there is an urgent need to elucidate the long-term cardiovascular impacts of dynamic body weight patterns. Current evidence lacks trajectory modeling studies examining occupation-specific prevention strategies. Objective To investigate the association between long-term body mass index (BMI) trajectories and incident hypertension risk in Chinese working adults, and to examine occupation-specific heterogeneity in this relationship. Methods A dynamic sub-cohort of 4 413 occupational participants was constructed from ten survey waves (1991–2018) of the China Health and Nutrition Survey (CHNS). Eligible individuals had valid key BMI records at three or more independent follow-ups before the outcome event; the individual baseline was set as the year of their first participation in the survey. Group-based trajectory modeling (GBTM) was used to identify BMI change patterns. Cox proportional hazards regression was used to calculate hazard ratios (HRs) and 95% confidence interval (CI) for hypertension incidence across trajectory groups, with stratified analysis by occupational categories. Results Among
5.Effect of Shengui Jiangtang Formula on Glucose and Lipid Metabolism in Type 2 Diabetic db/db Mice via PI3K/Akt/FoxO1 Signaling Pathway and Underlying Mechanisms
Zairan WANG ; Yifei ZHU ; Jiahe TANG ; Lingling QIN ; Lili WU ; Tonghua LIU
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(9):42-51
ObjectiveTo investigate the effects of Shengui Jiangtang Formula on insulin resistance and glucose-lipid metabolism in spontaneous type 2 diabetic db/db mice based on the phosphatidylinositol 3-kinase (PI3K)/protein kinase B (Akt)/forkhead box protein O1 (FoxO1) signaling pathway, and to provide theoretical foundation for its clinical application through fundamental experiments. MethodsA randomized controlled design was employed in this study. Thirty spontaneous type 2 diabetic db/db mice meeting the inclusion criteria (fasting blood glucose >7.0 mmol·L-1 and random blood glucose on a different day≥11.1 mmol·L-1) were selected as the subjects. After stratified block randomization by body weight and blood glucose levels, they were randomly assigned to a model group, a metformin group, and a Shengui Jiangtang formula group, with n=10 per group. Ten db/m mice were used as the normal group. During the 5-week intervention, general indicators (including general condition, fasting blood glucose (FBG), body weight, and food intake) were recorded weekly. An oral glucose tolerance test (OGTT) was performed at week 5. After 5 weeks, serum was collected to measure glucose-lipid metabolism parameters. Liver tissues were analyzed as follows: Histopathology was observed through hematoxylin and eosin (HE) staining, periodic acid-Schiff (PAS) staining, and Oil red O staining. The expression of proteins and genes related to the PI3K/Akt/FoxO1 signaling pathway was quantitatively analyzed using Western blotting (Western blot) and real-time quantitative polymerase chain reaction (Real-time PCR). ResultsGeneral observations: The mice in the normal group were generally healthy, exhibited agile responses and had smooth and glossy fur. Compared with the normal group, the mice in the model group displayed typical symptoms of polydipsia, polyphagia, and polyuria, along with listlessness and rough fur. Their food intake, initial body weight, liver weight, and liver index were all significantly higher than those in the normal group (P<0.01). After 5 weeks of drug intervention, neither the Shengui Jiangtang Formula group nor the metformin group significantly affected the food intake of the model mice. Compared with the model group, no statistically significant difference was observed in liver weight or liver index in the Shengui Jiangtang formula group. Serum biochemical indicators: Compared with the normal group, the model group showed significantly elevated levels of FBG, fasting insulin, homeostatic model assessment of insulin resistance (HOMA-IR), glycosylated serum protein, and blood lipids. After drug intervention, compared with the model group, the Shengui Jiangtang formula group significantly reduced FBG in the model mice (P<0.01). The blood glucose levels at all time points during the OGTT in the Shengui Jiangtang Formula group were lower than those in the model group, with statistically significant differences in the 0 min blood glucose and the area under the curve for glucose compared to the model group (P<0.05). Furthermore, the formula significantly reduced fasting insulin levels, HOMA-IR, and glycosylated serum protein levels (P<0.05). It also showed a tendency to decrease blood lipids, liver enzymes (aspartate aminotransferase, alanine aminotransferase), and blood urea nitrogen levels, and a tendency to increase creatinine levels, although these differences were not statistically significant. Liver histomorphology: HE staining indicated that Shengui Jiangtang formula improved the morphological structure of hepatocytes and attenuated steatosis in diabetic mice. Liver PAS staining showed that it increased hepatic glycogen content and promoted hepatic glycogen synthesis in diabetic mice. Oil red O staining demonstrated that it reduced lipid deposition within hepatocytes. Western blot: Compared with the normal group, the model group showed decreased protein expression of PI3K, Akt, p-Akt, and p-FoxO1, and increased FoxO1 protein expression. Compared with the model group, both the metformin and Shengui Jiangtang Formula groups showed increased protein expression of PI3K, Akt, p-Akt, and p-FoxO1, and decreased FoxO1 protein expression. Real-time PCR: Compared with the normal group, the mRNA expression of PI3K and Akt was downregulated (P<0.05), and the mRNA expression of FoxO1 was downregulated (P<0.05) in the model group. ConclusionShengui Jiangtang Formula can improve insulin resistance and glucose-lipid metabolic disorders in db/db mice. It alleviates hepatic steatosis, promotes hepatic glycogen synthesis, and reduces lipid deposition in these mice. The mechanism by which Shengui Jiangtang Formula improves insulin resistance may be associated with the PI3K/Akt/FoxO1 signaling pathway.
6.Research Progress of Traditional Chinese Medicine in Improving Diabetic Retinopathy Based on Nrf2 Signaling Pathway
Xueqing LIU ; Xinyu ZHONG ; Tingting WANG ; Ning WANG ; Man LIU ; Li WU ; Lili WU ; Lingling QIN ; Tonghua LIU
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(9):69-78
Diabetic retinopathy (DR) is a microvascular complication of diabetes and one of its most common complications. Prolonged hyperglycemia induces oxidative stress, inflammatory responses, apoptosis, and pathological angiogenesis, ultimately disrupting the blood-retinal barrier(BRB) and leading to visual impairment or even blindness. Recent studies show that the nuclear factor erythroid 2-related factor 2 (Nrf2) signaling pathway plays an important role in the development of DR's pathological changes. Meanwhile, Chinese herbal monomers have been shown to modulate the Nrf2 signaling pathway, thereby intervening in the development of DR. In terms of inhibiting oxidative stress, saponin compounds such as platycodin-D and ginsenoside Rb1 downregulate the expression of malondialdehyde (MDA), thereby ameliorating retinal oxidative stress. Flavonoids such as total flavonoids from Pueraria lobata flower and puerarin upregulate the expression of superoxide dismutase (SOD) and glutathione peroxidase (GPx), effectively clearing lipid peroxides. Regarding the suppression of inflammation, phenolic compounds like resveratrol and chlorogenic acid inhibit the nuclear factor kappa B (NF-κB) pathway, reducing the release of tumor necrosis factor-alpha (TNF-α) and mitigating inflammatory responses. In the context of inhibiting apoptosis, polysaccharides such as Polygonatum sibiricum polysaccharide and Angelica sinensis polysaccharide downregulate the expression of the pro-apoptotic protein Bcl-2-associated X protein (Bax) and suppress the activity of the executioner Caspase-3, thereby reducing the apoptosis rate. As for the inhibition of neovascularization, compounds including bilobalide and physcion significantly decrease the protein expression of vascular endothelial growth factor (VEGF), leading to a reduction in retinal pathological angiogenesis. Furthermore, Chinese herbal compound prescriptions such as Tongluo Zhujing pills, Yiqi Huoxue Yangyin decoction, Qiming granules, and Danlou tablets can also intervene in the onset and progression of DR through the mechanisms described above. In summary, both Chinese herbal monomers and Chinese herbal compound prescriptions can modulate the Nrf2 signaling pathway to inhibit oxidative stress, alleviate inflammation, and participate in maintaining BRB integrity, suppressing retinal neovascularization, and preventing neurodegeneration, thereby delaying the progression of DR. Therefore, this paper reviews and summarizes recent studies at home and abroad on how traditional Chinese medicine (TCM) works to treat DR, and the relationship between the Nrf2 pathway and DR. It aims to provide research ideas for preventing and treating DR.
7.Optimization of Cage-Changing Intervals and Wood Shavings Usage for Mice During the Growth Phase in Breeding Systems
Xianwen WU ; Lili LIU ; Ye CHEN ; Guoheng XU
Laboratory Animal and Comparative Medicine 2026;46(2):251-260
ObjectiveTo determine the optimal bedding depth of wood shavings and cage-changing interval for post-weaning (21-day-old) SPF C57BL/6J mice housed in open cages within a barrier environment. MethodsThree bedding groups with average depths of 3 cm, 4 cm, and 5 cm were established, forming six experimental groups (three groups each for female and male mice, with 60 mice per group and 20 mice per cage, totaling 18 cages). The mice were housed in accordance with the maximum housing density requirements specified in GB 14925—2023 Laboratory Animal—Environment and Housing Facilities. Indicators, including body weight, food intake, waste load, and bedding cleanliness, were continuously monitored in mice aged 21-54 days. ResultsAt the age of 21-54 days, the body weight of male mice in the 4 cm bedding group at 42 days was significantly higher than that in the 3 cm and 5 cm groups (P<0.01); at the age of 45-54 days, the waste load of male mice in the 4 cm group was significantly higher than that in the 3 cm group (P<0.05). There were no statistically significant differences in body weight, feed intake and waste load of female mice among each bedding height group (P>0.05). Gender comparison showed that the body weight, feed intake and waste load of male mice were significantly higher than those of female mice at multiple age groups (P<0.05). However, there was no statistically significant difference in cleanliness scores between female and male mice (P>0.05). The scores of mice in the 3 cm and 4 cm groups were close to 3 points from day 6 to day 12, and the scores of mice in the 5 cm group were close to 3 points on day 12. After 42 days of age, the cleanliness scores of each group increased rapidly, and the cage change cycle needed to be shortened to 4 days. Comprehensive recommendation: the cage change cycle for 3 cm and 4 cm bedding heights is 6 days, and it can be extended to 12 days at a height of 5 cm bedding, and shortened to 4 days after 42 days of age. ConclusionUnder the open-cage housing mode, a bedding depth of 4 cm combined with a 6-day cage-changing interval during the growth phase can maintain cage cleanliness through bedding adsorption while optimizing the use of bedding resources. This protocol successfully balances animal welfare assurance with facility operational efficiency and is suitable for the large-scale management of C57BL/6J mice and inbred strains with similar genetic backgrounds.
8.Effect and mechanism of BYL-719 on Mycobacterium tuberculosis-induced differentiation of abnormal osteoclasts
Jun ZHANG ; Jian GUO ; Qiyu JIA ; Lili TANG ; Xi WANG ; Abudusalamu·Alimujiang ; Tong WU ; Maihemuti·Yakufu ; Chuang MA
Chinese Journal of Tissue Engineering Research 2025;29(2):355-362
BACKGROUND:The phosphatidylinositol 3-kinase/protein kinase(PI3K/AKT)signaling pathway plays a pivotal role in regulating osteoclast activation,which is essential for maintaining bone homeostasis.Bone destruction in osteoarticular tuberculosis is caused by aberrant osteoclastogenesis induced by Mycobacterium tuberculosis infection.However,the role of the PI3K signaling pathway in Mycobacterium tuberculosis-induced aberrant osteoclastogenesis remains unclear. OBJECTIVE:To investigate the effects and mechanisms of the PI3K/AKT signaling pathway inhibitor BYL-719 on aberrant osteoclastogenesis induced by Mycobacterium tuberculosis. METHODS:RAW264.7 cells were infected with bovine Mycobacterium tuberculosis bacillus calmette-cuerin vaccine,and Ag85B was used for cellular immunofluorescence staining.The cell counting kit-8 assay was employed to determine the safe concentration of BYL-719.There were four groups in the experiment:blank control group,BYL-719 group,BCG group,and BCG+BYL-719 group.Under the induction of receptor activator of nuclear factor kappa-B ligand,the effects of BYL-719 on post-infection osteoclast differentiation and fusion were explored through tartrate-resistant acid phosphatase staining and phalloidin staining.RT-PCR and western blot were used to detect the expression of osteoclast-related genes and proteins,and further investigate the mechanism of action. RESULTS AND CONCLUSION:Immunofluorescence staining showed that RAW264.7 cells phagocytosed Mycobacterium tuberculosis.Cell counting kit-8 data indicated that 40 nmol/L BYL-719 was non-toxic to cells.Tartrate-resistant acid phosphatase staining and phalloidin staining showed that BYL-719 inhibited the generation and fusion ability of osteoclasts following infection.RT-PCR and western blot results also indicated that BYL-719 suppressed the upregulation of osteoclast-specific genes(including c-Fos,NFATc1,matrix metalloproteinase 9,and CtsK)induced by Mycobacterium tuberculosis infection(P<0.05).Western blot and immunofluorescence staining revealed that BYL-719 inhibited excessive osteoclast differentiation induced by Mycobacterium tuberculosis by downregulating the expression of IκBα-p65.To conclude,BYL-719 inhibits aberrant osteoclastogenesis induced by Mycobacterium tuberculosis through the downregulation of IκBα/p65.Therefore,the IκBα/p65 signaling pathway is a potential therapeutic target for osteoarticular tuberculosis,and BYL-719 holds potential value for the preventing and amelioration of bone destruction in osteoarticular tuberculosis.BYL-719 has the potential to prevent and ameliorate bone destruction in osteoarticular tuberculosis.
9.Application of deep learning in oral imaging analysis
Yuxuan YANG ; Jingyi TAN ; Lili ZHOU ; Zirui BIAN ; Yifan CHEN ; Yanmin WU
Chinese Journal of Tissue Engineering Research 2025;29(11):2385-2393
BACKGROUND:In recent years,deep learning technologies have been increasingly applied in the field of oral medicine,enhancing the efficiency and accuracy of oral imaging analysis and promoting the rapid development of intelligent oral medicine. OBJECTIVE:To elaborate the current research status,advantages,and limitations of deep learning based on oral imaging in the diagnosis and treatment decision-making of oral diseases,as well as future prospects,exploring new directions for the transformation of oral medicine under the backdrop of deep learning technology. METHODS:PubMed was searched for literature related to deep learning in oral medical imaging published from January 2017 to January 2024 with the search terms"deep learning,artificial intelligence,stomatology,oral medical imaging."According to the inclusion criteria,80 papers were finally included for review. RESULTS AND CONCLUSION:(1)Classic deep learning models include artificial neural networks,convolutional neural networks,recurrent neural networks,and generative adversarial networks.Scholars have used these models in competitive or cooperative forms to achieve more efficient interpretation of oral medical images.(2)In the field of oral medicine,the diagnosis of diseases and the formulation of treatment plans largely depend on the interpretation of medical imaging data.Deep learning technology,with its strong image processing capabilities,aids in the diagnosis of diseases such as dental caries,periapical periodontitis,vertical root fractures,periodontal disease,and jaw cysts,as well as preoperative assessments for procedures such as third molar extraction and cervical lymph node dissection,helping clinicians improve the accuracy and efficiency of decision-making.(3)Although deep learning is promising as an important auxiliary tool for the diagnosis and treatment of oral diseases,it still has certain limitations in model technology,safety ethics,and legal regulation.Future research should focus on demonstrating the scalability,robustness,and clinical practicality of deep learning,and finding the best way to integrate automated deep learning decision support systems into routine clinical workflows.
10.Effects of quality of life in patients with intermediate and advanced lung cancer undergoing different treatment regimens
WANG Yue ; HUANG Xiaotong ; ZHAO Fei ; Ding Lili ; WU Bingyi
Journal of Preventive Medicine 2025;37(3):272-275
Objective:
To examine the impacts of chemotherapy/radiotherapy, targeted therapy, and combined treatment on the quality of life in patients with intermediate and advanced lung cancer.
Methods:
The patients with intermediate and advanced lung cancer undergoing chemotherapy/radiotherapy, targeted therapy, and combined treatment for the first time were recruited from a tertiary hospital in Weifang City, Shandong Province, using a quota sampling method in September 2023. Basic information was collected using a general information questionnaire, and the quality of life was assessed using the Chinese version of Functional Assessment of Cancer Therapy-General. The investigation started on the 7th day of treatment, and the follow-ups were conducted at 3 and 6 months. The quality of life in patients with different treatment regimens and at different treatment time were compared using repeated measure analysis of variance.
Results:
There were 26 chemotherapy/radiotherapy patients, 32 targeted therapy patients, and 95 combination therapy patients. There were no significant differences in age, gender, place of residence, education level, self-rated economic status, medical insurance, pathological type and disease stage among the three treatment regimens (all P>0.05). The repeated measure analysis of variance showed an interaction effect between time and group among patients receiving the three treatment regimens (P<0.05). The quality of life scores of patients receiving combination therapy decreased with extended treatment time (all P<0.05). The quality of life scores of patients receiving targeted therapy at 3 and 6 months were lower than those treated for 7 days (both P<0.05). No significant differences were observed in quality of life scores among chemotherapy/radiotherapy patients with different treatment durations (all P>0.05). At 3 and 6 months, patients receiving combination therapy had lower quality of life scores compared to those receiving chemotherapy/radiotherapy or targeted therapy (all P<0.05).
Conclusion
The decline in quality of life for patients with intermediate and advanced lung cancer undergoing chemotherapy/radiotherapy and targeted therapy is less than that for patients receiving combined therapy.


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