1.Hypoglycemic Effect and Mechanism of ICK Pattern Peptides
Lin-Fang CHEN ; Jia-Fan ZHANG ; Ye-Ning GUO ; Hui-Zhong HUANG ; Kang-Hong HU ; Chen-Guang YAO
Progress in Biochemistry and Biophysics 2025;52(1):50-60
Diabetes is a very complex endocrine disease whose common feature is the increase in blood glucose concentration. Persistent hyperglycemia can lead to blindness, kidney and heart disease, neurodegeneration, and many other serious complications that have a significant impact on human health and quality of life. The number of people with diabetes is increasing yearly. The global diabetes prevalence in 20-79 year olds in 2021 was estimated to be 10.5% (536.6 million), and it will rise to 12.2% (783.2 million) in 2045. The main modes of intervention for diabetes include medication, dietary management, and exercise conditioning. Medication is the mainstay of treatment. Marketed diabetes drugs such as metformin and insulin, as well as GLP-1 receptor agonists, are effective in controlling blood sugar levels to some extent, but the preventive and therapeutic effects are still unsatisfactory. Peptide drugs have many advantages such as low toxicity, high target specificity, and good biocompatibility, which opens up new avenues for the treatment of diabetes and other diseases. Currently, insulin and its analogs are by far the main life-saving drugs in clinical diabetes treatment, enabling effective control of blood glucose levels, but the risk of hypoglycemia is relatively high and treatment is limited by the route of delivery. New and oral anti-diabetic drugs have always been a market demand and research hotspot. Inhibitor cystine knot (ICK) peptides are a class of multifunctional cyclic peptides. In structure, they contain three conserved disulfide bonds (C3-C20, C7-C22, and C15-C32) form a compact “knot” structure, which can resist degradation of digestive protease. Recent studies have shown that ICK peptides derived from legume, such as PA1b, Aglycin, Vglycin, Iglycin, Dglycin, and aM1, exhibit excellent regulatory activities on glucose and lipid metabolism at the cellular and animal levels. Mechanistically, ICK peptides promote glucose utilization by muscle and liver through activation of IR/AKT signaling pathway, which also improves insulin resistance. They can repair the damaged pancrease through activation of PI3K/AKT/Erk signaling pathway, thus lowering blood glucose. The biostability and hypoglycemic efficacy of the ICK peptides meet the requirements for commercialization of oral drugs, and in theory, they can be developed into natural oral anti-diabetes peptide drugs. In this review, the structural properties, activity and mechanism of ICK pattern peptides in regulating glucose and lipid metabolism were summaried, which provided a reference for the development of new oral peptides for diabetes.
2.Mechanism of inhibitory effect of total flavonoids from Taraxacum mongolicum on obesity in mice by regulating intestinal flora
Yixue GAO ; Lin GUO ; Linyan LANG ; Jing WU ; Haoyang WANG ; Jing YANG ; Mingsan MIAO ; Zhanzhan LI
China Pharmacy 2025;36(3):293-299
OBJECTIVE To investigate the mechanism of the inhibitory effect of total flavonoids from Taraxacum mongolicum on high-fat diet-induced obesity in mice through modulation of intestinal flora. METHODS Twenty-four C57BL/6J mice were randomly divided into blank group, model group and T. mongolicum total flavonoid group, with 8 mice in each group. Except for the blank group, the other 2 groups were given a high-fat diet, while T. mongolicum total flavonoid group was given T. mongolicum total flavonoid [400 mg/(kg·d)] intragastrically, once a day, for 8 consecutive weeks. During the experiment, the food intake of each group of mice was recorded. After the last medication, the body mass, fat weight, blood lipid level and pathological changes of liver and epididymal fat in mice were evaluated to observe the effect of T. mongolicum total flavonoid on the treatment of obesity in mice. The changes in abundance and structure of intestinal flora in mice were detected by amplicon sequencing; the effects of T. mongolicum total flavonoids on fat metabolism related genes were analyzed by qPCR. RESULTS Compared with model group, the body weight of mice in T. mongolicum total flavonoids group was decreased significantly (P<0.05); the levels of total lipid cholesterol, triglycerides, and LDL cholesterol were all decreased significantly (P<0.01), and the level of HDL cholesterol was increased significantly (P<0.01); the fat indexes of inguinal white adipose tissue and epididymal white wind_lz@hactcm.edu.cn adipose tissue were significantly reduced (P<0.05); significant improvement in hepatocellular steatosis and adipose cytopathy were significantly improved; mRNA expressions of COX7A1 and COX8B were significantly upregulated (P<0.05). The results of bacterial colony detection showed that compared with the model group, there was a rising trend in the diversity of the bacterial colony in T. mongolicum total flavonoids group, and the Sobs index characterization and β diversity were increased significantly (P<0.05). Relative abundances of Blautia, norank_f_Ruminococcaceae, Bilophila, Alistipes, classified_f_Ruminococcaceae, Parabacteroides, norank_f_Desulfovibrionaceae, Anaerotruncus were significantly up-regulated(P<0.05), while those of Faecalibaculum, Erysipelatoclostridium, GCA-900066575, Tuzzerella, Lactobacillus, norank_f_norank_o_RF39, achnospiraceae_FCS020_group were significantly down-regulated (P<0.05). CONCLUSIONS T. mongolicum total flavonoids can reduce body mass, fat weight and blood lipid levels, and repair the pathological damage to liver and epididymal fat in obese mice, which is related to improving intestinal flora disorders caused by high-fat diet.
3.Research progress on antimicrobial peptides against methicillin-resistant Staphylococcus aureus
Yuxuan WANG ; Weichang GUO ; Cheng CHEN ; Yao LUO ; Yaxiong XIAO ; Jiangtao LI
China Pharmacy 2025;36(5):636-640
Staphylococcus aureus is a Gram-positive bacterium with strong pathogenicity. With the widespread use of antibiotics, its multi-drug resistance has gradually increased. Among them, methicillin-resistant S. aureus (MRSA) is one of the main pathogens of hospital and community infections. Antimicrobial peptides are short-chain peptides with good antibacterial effects and low drug resistance, which have been widely studied in recent years. This study summarizes the mechanism of action of antimicrobial peptides and related study on antimicrobial peptides against MRSA from different sources. It is found that the mechanisms of action of antimicrobial peptides include targeting bacterial cell membranes, bacterial cells, and bacterial cell walls, etc. Besides isolating antimicrobial peptides with anti-MRSA activity from animals, plants, and microorganisms, antimicrobial peptides can also be obtained through synthetic methods. Among them, GHa-derived peptides from animal sources, Ib-AMP4 from plant sources, Ph-SA from microbial sources, the synthetic peptide LLKLLLKLL-NH2, and so on, due to their effective antibacterial activity, rapid bactericidal speed, and low toxicity, are promising candidates for anti-MRSA drugs.
4.Machine learning identification of LRRC15 and MICB as immunodiagnostic markers for rheumatoid arthritis
Yanhu TIAN ; Xinan HUANG ; Tongtong GUO ; Rusitanmu·Ahetanmu ; Jiangmiao LUO ; Yao XIAO ; Chao WANG ; Weishan WANG
Chinese Journal of Tissue Engineering Research 2025;29(11):2411-2420
BACKGROUND:Rheumatoid arthritis is a chronic autoimmune disease.Early diagnosis is crucial for preventing disease progression and for effective treatment.Therefore,it is of significance to investigate the diagnostic characteristics and immune cell infiltration of rheumatoid arthritis. OBJECTIVE:Based on the Gene Expression Omnibus(GEO)database,to screen potential diagnostic markers of rheumatoid arthritis using machine learning algorithms and to investigate the relationship between the diagnostic characteristics of rheumatoid arthritis and immune cell infiltration in this pathology. METHODS:The gene expression datasets of synovial tissues related to rheumatoid arthritis were obtained from the GEO database.The data sets were merged using a batch effect removal method.Differential expression analysis and functional correlation analysis of genes were performed using R software.Bioinformatics analysis and three machine learning algorithms were used for the extraction of disease signature genes,and key genes related to rheumatoid arthritis were screened.Furthermore,we analyzed immune cell infiltration on all differentially expressed genes to examine the inflammatory state of rheumatoid arthritis and investigate the correlation between their diagnostic characteristics and infiltrating immune cells. RESULTS AND CONCLUSION:In both rheumatoid arthritis and normal synovial tissues,we identified 179 differentially expressed genes,with 124 genes up-regulated and 55 genes down-regulated.Enrichment analysis revealed a significant correlation between rheumatoid arthritis and immune response.Three machine learning algorithms identified LRRC15 and MICB as potential biomarkers of rheumatoid arthritis.LRRC15(area under the curve=0.964,95%confidence interval:0.924-0.992)and MICB(area under the curve=0.961,95%confidence interval:0.923-0.990)demonstrated strong diagnostic performance on the validation dataset.The infiltration of 13 types of immune cells was altered,with macrophages being the most affected.In rheumatoid arthritis,the majority of proinflammatory pathways in immune cell function were activated.Immunocorrelation analysis revealed that LRRC15 and MICB had the strongest correlation with M1 macrophages.To conclude,this study identified LRRC15 and MICB as potential diagnostic markers for rheumatoid arthritis,with strong diagnostic performance and significant correlation with immune cell infiltration.Machine learning and bioinformatics analysis deepened the understanding of immune infiltration in rheumatoid arthritis and provided new ideas for the diagnosis and treatment of rheumatoid arthritis.
5.Assocation of family environment and depressive symptoms among primary and secondary school students in Shanxi province
YANG Yang, YANG Le, QU Hongfei, YAO Dianrui, LI Zhenhao, GUO Dan
Chinese Journal of School Health 2025;46(1):86-91
Objective:
To explore the assocation of the family environment and depressive symptoms among primary and middle school students, so as to provide suggestions for further maximizing the utility of family environment in the growth of primary and secondary school students, as well as prevention and intervention of depressive symptoms among children and adolescents.
Methods:
From June to July 2024, through a multistage cluster random sampling method, 8 800 primary and middle school students aged 10 to 18 from 36 schools in 3 cities (Datong, Lvliang, Linfen) in Shanxi Province. A self designed questionnaire was used to conduct a family environment survey, including family socioeconomic conditions, family structure, family parenting behavior, family member health behavior, etc; and the depression symptoms of primary and secondary school students were investigated by Patient Health Questionnaire-9. The χ 2 test and binary Logistic regression to method were used to analyze the association of the family environment with depressive symptoms among primary and secondary school students, and to analyze gender and urban-rural heterogeneity in this association.
Results:
The detection rate of depressive symptoms among primary and middle school students was 46.7% ( n = 4 111 ). Among them, the detection rates of depressive symptoms for male and female students were 45.7% and 47.7% respectively, and the detection rates for rural and urban students were 48.0% and 44.9% respectively. The results of binary Logistic regression model showed that in the family environment, factors such as the father s education level (junior high school: OR =0.84), self assessed family socio economic status (average: OR =0.78, good: OR =0.80), parental support and understanding (yes: OR = 0.55 ), family atmosphere (harmonious: OR =0.66), living arrangement (living only with father or mother: OR =1.31, living with parents and grandparents: OR =1.19), and family rearing style (combining punishment and reward: OR =1.42, punishment only: OR =1.25) were related to depressive symptoms in primary and middle school students in Shanxi Province ( P <0.05). From the perspective of gender heterogeneity, the living arrangement (living only with father or mother: OR =1.67, others: OR =1.67) had a statistically significant association with depressive symptoms in male students ( P <0.05). From the perspective of urban rural heterogeneity, the living arrangement (living only with father or mother: OR =1.38) had a statistically significant association with depressive symptoms in rural primary and middle school students ( P <0.05).
Conclusions
The family environment has an important impact on depressive symptoms in primary and middle school students. Family functioning should be fully exerted to prevent depressive symptoms in primary and middle school students.
6.Mechanism of Shexiang Tongxin Dripping Pills in Ameliorating AngⅡ-induced Vascular Smooth Muscle Cell Dysfunction
Yueyao HU ; Wei WANG ; Mingyue HUANG ; Shujuan GUO ; Junkai YAO
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(8):97-106
ObjectiveTo study the mechanism of Shexiang Tongxin Dripping pills-containing serum (STDP) in ameliorating angiotensinⅡ (AngⅡ)-induced cell phenotype transformation, proliferation, migration, and dysfunction of vascular smooth muscle cells. MethodsAn AngⅡ-induced proliferation and migration model of vascular smooth muscle cells was established. The cells were treated with STDP at 5%, 10%, and 20% for 24 h. The immunofluorescence assay was employed to detect the expression of α smooth muscle actin (α-SMA) and matrix metalloproteinase-2 (MMP-2). The cell-counting kit-8 (CCK-8) assay and 5-ethynyl-2'-deoxyuridine (EdU) staining were employed to detect the proliferation of vascular smooth muscle cells, and the scratch assay was employed to detect the migration of the cells. Western blot was employed to determine the expression levels of pathway proteins such as angiotensin-converting enzyme 2 (ACE2), angiotensin Ⅱ type 2 (AT2), angiotensin Ⅱ type 1 (AT1), as well as proliferation and migration proteins such as typeⅠ collagen (ColⅠ) and osteopontin (OPN). ResultsCompared with the model group, STDP increased the expression of α-SMA, reduced the expression of MMP-2, and inhibited the proliferation and migration of vascular smooth muscle cells (P<0.05). Furthermore, STDP up-regulated the expression levels of ACE2, AT2, and MAS1, while down-regulating the expression level of AT1, PCNA, ColⅠ, MMP-9, Rock1, Rock2, and SRF (P<0.05). Compared with the STDP group, the ACE2 inhibitor reversed the regulatory effects of STDP. ConclusionSTDP inhibits the phenotype transformation, proliferation, and migration of vascular smooth muscle cells and regulates the expression of cell proliferation and migration-related proteins to ameliorate the dysfunction of vascular smooth muscle cells. It exerts the effects by up-regulating the expression of proteins in the ACE2-AT2/MAS pathway and down-regulating the expression of proteins in the AT1-Rock signaling pathway.
7.Investigation on the current status of radiation protection management in animal diagnosis and treatment institutions in Foshan City
Ruifen SHI ; Weixu HUANG ; Yao GUO ; Lishan WEN ; Shaoxin HUO
China Occupational Medicine 2025;52(1):110-113
Objective To assess the current status of occupational radiation hazards in animal diagnosis and treatment institutions in Foshan City. Methods A total of 214 animal diagnosis and treatment institutions in Foshan City in 2024 were selected as the study subjects using the judgment sampling method. The radiation protection management status was investigated. Results A total of 178 out of the 214 animal diagnosis and treatment institutions were equipped with radiation diagnostic equipment in Foshan City. Among these 178 institutions, 98 (accounting for 55.1%) obtained permits from the ecology and environmental department, 21 (accounting for 11.8%) completed occupational hazard project declarations, 53 (accounting for 29.8%) conducted workplace radiation level monitoring, 132 (accounting for 74.2%) were equipped with radiation protection equipment, 40 (accounting for 22.5%) conducted occupational health examinations for the radiation staff, 39 (accounting for 21.9%) provided radiation protection knowledge training for the radiation staff, and 52 (accounting for 29.2%) performed personal radiation dose monitoring. However, none of the institutions implemented the “Three Simultaneities (design, construct, put into operation and use simultaneously with the main body of the construction project)” system for occupational disease prevention facilities in construction projects. Conclusion sAnimal diagnostic and treatment institutions in Foshan City have low levels of radiation protection management and inadequate occupational health monitoring. The radiation staff has low awareness of radiation protection, Relevant department should strengthen supervision and management, organize radiation protection knowledge training, and standardize occupational health management to effectively safeguard workers' health rights.
8.Current Research Status of Digital Technology in the Rehabilitation of Rare Neurological and Muscular Diseases
Yixuan GUO ; Yi GAO ; Yiyang YAO ; Zhuoyue QIN ; Yaofang ZHANG ; Jiaqi JING ; Jing XIE ; Jian GUO ; Shuyang ZHANG
JOURNAL OF RARE DISEASES 2025;4(1):122-131
To review the randomized controlled trials (RCTs) at home and abroad on digital intelligence (DI)-driven rehabilitation in patients of neuromuscular disease, compare the effects of DI-driven rehabilitation with traditional rehabilitation, summarize the special needs and challenges faced by patients in rehabilitation of rare neuromuscular diseases, and provide evidence for the development and quality improvement of rehabilitation for rare neuromuscular diseases. We searched PubMed, Web of Science, Embase, CNKI, VIP, and Wanfang databases for literature on neuromuscular diseases, rare diseases, digital and intelligent technologies, and rehabilitation published from the inception of the databases to June 2024. Basic and research-related information from the retrieved literature was extracted and analyzed. A total of 43 RCTs in English from 14 countries were included. The most studied diseases were Parkinson′s disease and multiple sclerosis. The application of DI-driven technologies in rehabilitation of rare neuromuscular diseases was still limited. The commonly used technologies were virtual reality (VR) games, intelligent treadmill assistance, gait training robots, hybrid assistive limb (HAL), wearable sensors and tele-rehabilitation (TR) systems. These technologies were applied in patients′ homes or rehabilitation service centers. The VR games significantly improved both static/dynamic balance functions and cognitive functions. The intelligent treadmill assistance significantly enhanced gait speed and stride length. The gait training robots significantly improved balance, gait speed and stride length of patients. The wearable exoskeletons significantly enhanced walking ability. DI-driven rehabilitation measures have great value and potential in the field of neuromuscular disease rehabilitation. Their advantages and characteristics can meet the diverse needs of rare disease patients. In the future, a hierarchical and collaborative rehabilitation service system should be established to meet the urgent needs of the rehabilitation of rare neuromuscular diseases. Combining the advantages of digitization and intelligence will provide standardized, scientific, convenient and affordable rehabilitation services to patients.
9.The Application of Digital Intelligence Technology in the Management of Non-Hospitalized Patients with Rare Diseases
Yiyang YAO ; Yi GAO ; Yixuan GUO ; Zhuoyue QIN ; Yaofang ZHANG ; Jiaqi JING ; Jing XIE ; Jian GUO ; Shuyang ZHANG
JOURNAL OF RARE DISEASES 2025;4(1):46-53
To provide references to and give suggestions to the development and optimiza-tion of Digital Intelligence (DI) technology in management of non-hospitalized patients by systematical review the application of digital technology in non-hospital settings. We designed the search strategy and used the words " rare diseases"" patient management"" non-hospitalized management"" community management"" digital intelligence"" big data"" telemedicine" as MESH terms or free words. We searched the database of PubMed, Science-Direct, Web of Science, CNKI, Wanfang and VIP from the beginning of the database to July 2024 and used computer retrieval to get the literatures on the application of DI technology in the management of patients with rare diseases in non-hospital setting. We extracted the information of the first author, country or region, publication time, research participants, DI technology application, and application effect for summary analysis. A total of 13 articles were included in this study, which were from 8 countries or regions. We found that DI technologies used were in the following forms: Internet information platform, wearable devices, telemedicine management platform and electronic database. The DI technology was used by the patients with rare diseases, patient caregivers and professional medical staffs. The application of all the forms above in different populations had good effect. The Internet information platform helped patients and their caregivers learn more about the disease and improved their self-management ability. The wearable device helped monitor the health status of patients in real time and predict the risk of emergent events. The telemedicine management platform facilitated to optimize the allocation of medical resources and strengthen doctor-patient communication. The electronic health database promoted the interconnection of data inside and outside the hospital and improved the accuracy of decision-making through data sharing. The application of DI technology in the management of patients with rare diseases in non-hospitalized settings has shown positive results. In the future, it is necessary to correct the shortcomings and to deal with the challenges in terms of accuracy, readiness, applicability, and privacy protection. Besides, the DI can be integrated into the tri-level management system of patients known as the "patient-community-hospital". It is advisable to take the advantages of digital intelligence technology to improve the efficiency and quality of management of patients in non-hospitalized settings.
10.Application of Ferroptosis Regulation in Chronic Atrophic Gastritis Based on Spleen Deficiency and Turbid Toxin
Yuxi GUO ; Xuemei JIA ; Jie WANG ; Yanru CAI ; Pengli DU ; Yao DU ; Diangui LI ; Qian YANG
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(13):279-285
Chronic atrophic gastritis (CAG), a common digestive system disease, has an unclear pathogenesis. Currently, it is mostly believed to be related to Helicobacter pylori (Hp) infection, immune factors, dietary factors, bile reflux, long-term use of antibiotics and anti-inflammatory drugs, and other factors. Ferroptosis is a regulated cell death mechanism that is iron-dependent and characterized by disruption of iron metabolism and accumulation of lipid peroxides. More and more studies have found that ferroptosis is closely related to the onset of CAG. Professor LI Diangui, a master of traditional Chinese medicine, first proposed the turbid toxin theory, which holds that spleen deficiency and turbid toxin is the main pathogenic mechanism of CAG. Abnormal iron metabolism regulation is a prerequisite for the accumulation of turbid toxin in CAG, and ferroptosis is in accordance with the pathogenic mechanism (spleen deficiency and turbid toxin) of CAG. This article explores the pathological mechanism of spleen deficiency and turbid toxin in CAG from the perspectives of iron metabolism, oxidative stress, and lipid peroxidation, providing theoretical support of traditional Chinese medicine for the modern research on CAG. It enriches the modern scientific connotation of the turbid toxicity theory and provides new ideas and breakthrough points for the clinical treatment of CAG.


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