1.Effect of warm acupuncture on PINK1/Parkin pathway in the skeletal muscle of rats with chronic fatigue syndrome
Huayuan LI ; Chun LI ; Junwei LIU ; Ting WANG ; Long LI ; Yongli WU
Chinese Journal of Tissue Engineering Research 2025;29(8):1618-1625
BACKGROUND:It has been found that mitochondrial function is abnormal in patients with chronic fatigue syndrome,and the administration of coenzymes can improve the symptoms.Warm acupuncture is one of the most important treatments for this disease,but its mechanism of action is unclear. OBJECTIVE:To investigate the effects of warm acupuncture on the phosphatase and tensin inducible kinase 1(PINK1)/Parkin pathway in the skeletal muscle of rats with chronic fatigue syndrome. METHODS:After 3 days of adaptive feeding,32 male Sprague-Dawley rats were randomly divided into normal control,model,warm acupuncture,and coenzyme Q groups with 8 rats in each group.The chronic fatigue syndrome model was established by multiple factors,including swimming exhaustion,chronic immobilization and fasting.After successful modeling,the normal group and the model group were treated with the same fixation and gavage procedures,and the warm acupuncture group was treated with acupuncture at Guanyuan,Zhongwan and Zusanli(bilateral)points,once a day.After the needling was inserted,the moxa pillar was put on the needle handle and ignited,three sessions once.The coenzyme Q group was given 1 mL/kg coenzyme by gavage,once a day for 14 days.The body mass,exhaustive swimming time and food utilization rate during the treatment were recorded.After the treatment,the bilateral gastrocnemius muscles of rats in each group were collected.The pathological morphology of the gastrocnemius muscle was observed by hematoxylin-eosin staining,the mitochondrial morphology and autophagosome of the gastrocnemius muscle were observed by transmission electron microscope.The expression level of microtubule-associated protein light chain 3(LC3)Ⅱ protein in the skeletal muscle was detected by immunohistochemistry.Western blot was used to detect the expression of PINK1,Parkin,LC3 Ⅰ,and LC3 Ⅱ in the skeletal muscle. RESULTS AND CONCLUSION:Compared with the normal group,the gastrocnemius muscle nuclei of the model group were pyknotic,condensed,the number of cells was increased,the cells were arranged disorderly,and the fibers in the gastrocnemius muscle were tightly arranged in the model group.Compared with the model group,the intercellular space became smaller,the nuclei were reduced,and the cell arrangement was orderly in the warm acupuncture group and coenzyme Q group.Compared with the normal group,the skeletal muscle mitochondria in the model group were swollen,fused,and vacuolated seriously,the membrane was partially broken,the matrix was more dissolved,the cristae was broken and disappeared,and autophagy appeared.Compared with the model group,the number of mitochondria increased,the arrangement was relatively neat,mitochondrial vacuolization and rupture of cristae in the gastrocnemius muscle were improved,the membrane structure was relatively intact,and autophagy occurred.Compared with the normal group,the expression of PINK1 protein in the skeletal muscle of the model group was significantly increased(P<0.05),while the expression of Parkin,LC3 Ⅱ and LC3 Ⅱ/Ⅰ protein was slightly upregulated(P>0.05).Compared with the model group,the protein expressions of PINK1,Parkin,LC3 Ⅱ and LC3 Ⅱ/Ⅰ were significantly upregulated in the warm acupuncture and coenzyme Q groups(P<0.05),and the up-regulation was more significant in the warm acupuncture group.To conclude,warm acupuncture can play a role in the treatment of chronic fatigue syndrome by activating the PINK1/Parkin pathway,upregulating LC3 Ⅱ expression,forming mitochondrial autophagosomes,promoting the degradation of damaged mitochondria,and improving mitochondrial quality.
2.Research progress in mechanisms of herb pairs in treating ischemic stroke.
Shu ZHANG ; Chun-Long RAN ; Chi-Yuan MA ; Xiang-Zhe LIU
China Journal of Chinese Materia Medica 2025;50(8):2041-2049
Ischemic stroke(IS) is a complex pathological process involving multiple cellular and molecular mechanisms and it is characterized by high mortality, high disability, and high recurrence. In recent years, the incidence of IS in China has been increasing year by year, and it has a trend of occurring in increasingly young individuals. Herb pairs are the smallest unit of traditional Chinese medicine(TCM) compatibility and an important part of TCM compounding, and the research on them is of great significance in guiding the clinical medication. Pharmacological studies have confirmed that certain herb pairs can exert anti-ischemic effects through various pathways such as reducing inflammation, alleviating oxidative stress, protecting the nervous system, and promoting neovascularization. By reviewing the relevant articles in the past decade, this paper probes into the combination rules, modern experimental studies, and combination ratios of the commonly used herb pairs from the etiology and pathogenesis of IS and summarizes 18 commonly used and deeply studied herb pairs, with a view to providing reference for the application, research, and development of clinical medicines.
Humans
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Drugs, Chinese Herbal/chemistry*
;
Animals
;
Ischemic Stroke/metabolism*
;
Medicine, Chinese Traditional
3.Theoretical discussion and research progress on treatment of glucocorticoid- induced osteoporosis with traditional Chinese medicine.
Ting-Ting XU ; Ying DING ; Xia ZHANG ; Long WANG ; Shan-Shan XU ; Chun-Dong SONG ; Wen-Sheng ZHAI ; Xian-Qing REN
China Journal of Chinese Materia Medica 2025;50(16):4437-4450
Glucocorticoid-induced osteoporosis(GIOP) is a serious metabolic bone disease caused by long-term application of glucocorticoids(GCs). Traditional Chinese medicine(TCM) has unique advantages in improving bone microstructure and antagonizing hormone toxicity. This paper systematically reviews the theoretical research, clinical application, and basic research progress of TCM intervention in GIOP. In terms of theoretical research, the theory of "kidney governing bone and generating marrow" indicates that the kidney is closely related to bone development, revealing that core pathogenesis of GIOP is Yin-Yang disharmony, which can be discussed using the theories of "Yin fire", "ministerial fire", and "Yang pathogen damaging Yin". Thus, regulating Yin and Yang is the basic principle to treat GIOP. In terms of clinical application, effective empirical prescriptions(such as Bushen Zhuanggu Decoction, Bushen Jiangu Decoction, and Zibu Ganshen Formula) and Chinese patent medicines(Gushukang Capsules, Hugu Capsules, Xianling Gubao Capsules, etc.) can effectively increase bone mineral density(BMD) and improve calcium and phosphorus metabolism. The combination of traditional Chinese and western medicine can reduce the risk of fracture and play an anti-GIOP role. In terms of basic research, it has been clarified that active ingredients of TCM(such as fraxetin, ginsenoside Rg_1, and salidroside) reduce bone loss and promote bone formation by inhibiting oxidative stress, ferroptosis, and other pathways, effectively improving bone homeostasis. Additionally, classical prescriptions(Modified Yiguan Decoction, Modified Qing'e Pills, Zuogui Pills, etc.) and Chinese patent medicines(Gushukang Granules, Lurong Jiangu Dropping Pills, Gubao Capsules, etc.) can improve bone marrow microcirculation, promote osteoblast differentiation, and inhibit bone cell apoptosis through multiple pathways, multiple targets, and multiple mechanisms. Through the above three aspects, the TCM research status on GIOP is elucidated in the expectation of providing reference for its diagnosis and treatment using traditional Chinese and western medicine treatment programs.
Osteoporosis/physiopathology*
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Humans
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Glucocorticoids/adverse effects*
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Drugs, Chinese Herbal/administration & dosage*
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Animals
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Medicine, Chinese Traditional
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Bone Density/drug effects*
4.Explainable machine learning model for predicting septic shock in critically sepsis patients based on coagulation indexes: A multicenter cohort study.
Qing-Bo ZENG ; En-Lan PENG ; Ye ZHOU ; Qing-Wei LIN ; Lin-Cui ZHONG ; Long-Ping HE ; Nian-Qing ZHANG ; Jing-Chun SONG
Chinese Journal of Traumatology 2025;28(6):404-411
PURPOSE:
Septic shock is associated with high mortality and poor outcomes among sepsis patients with coagulopathy. Although traditional statistical methods or machine learning (ML) algorithms have been proposed to predict septic shock, these potential approaches have never been systematically compared. The present work aimed to develop and compare models to predict septic shock among patients with sepsis.
METHODS:
It is a retrospective cohort study based on 484 patients with sepsis who were admitted to our intensive care units between May 2018 and November 2022. Patients from the 908th Hospital of Chinese PLA Logistical Support Force and Nanchang Hongdu Hospital of Traditional Chinese Medicine were respectively allocated to training (n=311) and validation (n=173) sets. All clinical and laboratory data of sepsis patients characterized by comprehensive coagulation indexes were collected. We developed 5 models based on ML algorithms and 1 model based on a traditional statistical method to predict septic shock in the training cohort. The performance of all models was assessed using the area under the receiver operating characteristic curve and calibration plots. Decision curve analysis was used to evaluate the net benefit of the models. The validation set was applied to verify the predictive accuracy of the models. This study also used Shapley additive explanations method to assess variable importance and explain the prediction made by a ML algorithm.
RESULTS:
Among all patients, 37.2% experienced septic shock. The characteristic curves of the 6 models ranged from 0.833 to 0.962 and 0.630 to 0.744 in the training and validation sets, respectively. The model with the best prediction performance was based on the support vector machine (SVM) algorithm, which was constructed by age, tissue plasminogen activator-inhibitor complex, prothrombin time, international normalized ratio, white blood cells, and platelet counts. The SVM model showed good calibration and discrimination and a greater net benefit in decision curve analysis.
CONCLUSION
The SVM algorithm may be superior to other ML and traditional statistical algorithms for predicting septic shock. Physicians can better understand the reliability of the predictive model by Shapley additive explanations value analysis.
Humans
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Shock, Septic/blood*
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Machine Learning
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Male
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Female
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Retrospective Studies
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Middle Aged
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Aged
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Sepsis/complications*
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ROC Curve
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Cohort Studies
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Adult
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Intensive Care Units
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Algorithms
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Blood Coagulation
;
Critical Illness
5.Correction to: A Virtual Reality Platform for Context-Dependent Cognitive Research in Rodents.
Xue-Tong QU ; Jin-Ni WU ; Yunqing WEN ; Long CHEN ; Shi-Lei LV ; Li LIU ; Li-Jie ZHAN ; Tian-Yi LIU ; Hua HE ; Yu LIU ; Chun XU
Neuroscience Bulletin 2025;41(5):932-932
6.Research Progressin Application of Ultrasound in the Diagnosis and Treatment of Greater Trochanteric Pain Syndrome.
Fan WU ; Yi MAO ; Chun-Bao LI ; Long-Tao YAN ; Ming-Bo ZHANG
Acta Academiae Medicinae Sinicae 2025;47(2):289-294
Greater trochanteric pain syndrome(GTPS)is a disease caused by structural lesions of the muscles,fascia,ligaments,and bursae near the greater trochanter of the femur.GTPS causes lateral hip joint pain,severely affecting patients' quality of life.Ultrasound has many advantages,such as real-time diagnosis,portable operation,non-radiation,and high resolution,demonstrating a high application value in the diagnosis and interventional therapy of GTPS.This article reviews the current status of ultrasound in the diagnosis and interventional therapy of GTPS and prospects its application.
Humans
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Ultrasonography
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Femur/diagnostic imaging*
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Hip Joint/diagnostic imaging*
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Arthralgia/therapy*
7.Evolution of spatial-temporal differentiation pattern and decoupling relationship between provincial health resources and medical pressure in China
Yun-Long SUO ; Qian FU ; Zhan-Chun FENG
Chinese Journal of Health Policy 2024;17(2):23-31
Objective:To clarify the spatio-temporal characteristics and changing trends of provincial health resources and medical pressure,and to provide suggestions for the high-quality development of medical and health services in China.Methods:Based on the panel data of 31 provincial administrative units from 2010 to 2020,a comprehensive evaluation system of provincial health resources and medical pressure was constructed.The global entropy method and exploratory spatial analysis were used to reveal the spatio-temporal differentiation and correlation pattern,and the Tapio decoupling index was illustrated to explain the evolution characteristics and trends.Results:During the observation period,health resources and medical pressure in the vast majority of provinces in China rose steadily,with positive spatial correlation and agglomeration,and a close relationship with economic development and population demand;the mainstream decoupling state of the country shifted from a negative decoupling to a positive decoupling,with an obvious progressive decoupling trend,and the development of regional health continued to improve.Conclusions and suggestions:Provinces need to take into account the status quo of health development in their own provinces,focus on the spatio-temporal coupling of elements and structures,and optimize the structure of health resource allocation and enhance the resilience of the health system as a means of bringing into play the comparative advantages of the regional health system.
8.Analysis of the biosynthesis pathways of phenols in the leaves of Tetrastigma hemsleyanum regulated by supplemental blue light based on transcriptome sequencing
Hui-long XU ; Nan YANG ; Yu-yan HONG ; Meng-ting PAN ; Yu-chun GUO ; Shi-ming FAN ; Wen XU
Acta Pharmaceutica Sinica 2024;59(10):2864-2870
Analyze the changes in phenolic components and gene expression profiles of
9.A Prognostic Model Based on Colony Stimulating Factors-related Genes in Triple-negative Breast Cancer
Yu-Xuan GUO ; Zhi-Yu WANG ; Pei-Yao XIAO ; Chan-Juan ZHENG ; Shu-Jun FU ; Guang-Chun HE ; Jun LONG ; Jie WANG ; Xi-Yun DENG ; Yi-An WANG
Progress in Biochemistry and Biophysics 2024;51(10):2741-2756
ObjectiveTriple-negative breast cancer (TNBC) is the breast cancer subtype with the worst prognosis, and lacks effective therapeutic targets. Colony stimulating factors (CSFs) are cytokines that can regulate the production of blood cells and stimulate the growth and development of immune cells, playing an important role in the malignant progression of TNBC. This article aims to construct a novel prognostic model based on the expression of colony stimulating factors-related genes (CRGs), and analyze the sensitivity of TNBC patients to immunotherapy and drug therapy. MethodsWe downloaded CRGs from public databases and screened for differentially expressed CRGs between normal and TNBC tissues in the TCGA-BRCA database. Through LASSO Cox regression analysis, we constructed a prognostic model and stratified TNBC patients into high-risk and low-risk groups based on the colony stimulating factors-related genes risk score (CRRS). We further analyzed the correlation between CRRS and patient prognosis, clinical features, tumor microenvironment (TME) in both high-risk and low-risk groups, and evaluated the relationship between CRRS and sensitivity to immunotherapy and drug therapy. ResultsWe identified 842 differentially expressed CRGs in breast cancer tissues of TNBC patients and selected 13 CRGs for constructing the prognostic model. Kaplan-Meier survival curves, time-dependent receiver operating characteristic curves, and other analyses confirmed that TNBC patients with high CRRS had shorter overall survival, and the predictive ability of CRRS prognostic model was further validated using the GEO dataset. Nomogram combining clinical features confirmed that CRRS was an independent factor for the prognosis of TNBC patients. Moreover, patients in the high-risk group had lower levels of immune infiltration in the TME and were sensitive to chemotherapeutic drugs such as 5-fluorouracil, ipatasertib, and paclitaxel. ConclusionWe have developed a CRRS-based prognostic model composed of 13 differentially expressed CRGs, which may serve as a useful tool for predicting the prognosis of TNBC patients and guiding clinical treatment. Moreover, the key genes within this model may represent potential molecular targets for future therapies of TNBC.
10.Proteomics Study of Benzene Metabolite Hydroquinone Induced Hematotoxicity in K562 Cells
Shan Yi JIN ; Chun Zong YI ; Jing Yu ZHANG ; Long RONG ; Hong Chun YU
Biomedical and Environmental Sciences 2024;37(4):341-353
Objective Hydroquinone(HQ),one of the phenolic metabolites of benzene,is widely recognized as an important participant in benzene-induced hematotoxicity.However,there are few relevant proteomics in HQ-induced hematotoxicity and the mechanism hasn't been fully understood yet. Methods In this study,we treated K562 cells with 40 μmol/L HQ for 72 h,examined and validated protein expression changes by Label-free proteomic analysis and Parallel reaction monitoring(PRM),and performed bioinformatics analysis to identify interaction networks. Results One hundred and eighty-seven upregulated differentially expressed proteins(DEPs)and 279 downregulated DEPs were identified in HQ-exposed K562 cells,which were involved in neutrophil-mediated immunity,blood microparticle,and other GO terms,as well as the lysosome,metabolic,cell cycle,and cellular senescence-related pathways.Focusing on the 23 DEGs and 5 DEPs in erythroid differentiation-related pathways,we constructed the network of protein interactions and determined 6 DEPs(STAT1,STAT3,CASP3,KIT,STAT5B,and VEGFA)as main hub proteins with the most interactions,among which STATs made a central impact and may be potential biomarkers of HQ-induced hematotoxicity. Conclusion Our work reinforced the use of proteomics and bioinformatic approaches to advance knowledge on molecular mechanisms of HQ-induced hematotoxicity at the protein level and provide a valuable basis for further clarification.

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