1.Mechanotransduction proteins in intervertebral disc degeneration
Xilin GAO ; Si WU ; Chao ZHANG ; Liguo ZHU ; Bifeng FU ; Ping WANG
Chinese Journal of Tissue Engineering Research 2025;29(3):579-589
BACKGROUND:Recent research indicates that disc degeneration is closely related to abnormal stress load,and mechanotransduction proteins play a key role in it. OBJECTIVE:To investigate the role and mechanism of mechanotransduction proteins in the mechanotransduction process induced by abnormal mechanical stimulation in disc degeneration,and to summarize the current treatment strategies targeting mechanotransduction to delay intervertebral disc degeneration. METHODS:Using"intervertebral disc,nucleus pulposus,annulus fibrosus,cartilaginous endplate,cell,mechanics,signal transduction,protein,biomechanics"as Chinese search terms,and"intervertebral disc,nucleus pulposus,annulus fibrosus,cartilaginous endplate,cell,mechanical stimulation,signal transduction,protein,biomechanics"as English search terms,relevant literature in the PubMed and CNKI databases was searched.A total of 88 articles were ultimately included for review. RESULTS AND CONCLUSION:Disc cells can sense external mechanical stimulation through various mechanotransduction proteins and convert it into biological responses within the cells.These transduction proteins mainly include collagen proteins in the extracellular matrix,cell membrane surface receptors(such as integrins and ion channels),and cytoskeleton structural proteins.Their regulation of mechanotransduction processes primarily involves the activation of multiple pathways,such as the PI3K/AKT signaling pathway,nuclear factor-kB signaling pathway,and Ca2+/Calpain2/Caspase3 pathway.Mechanotransduction proteins play a key role in the mechanotransduction of disc cells.Abnormal expression of these proteins or resulting changes in the extracellular matrix environment can disrupt the mechanical balance of disc cells,leading to disc degeneration.In-depth study of the expression and regulatory mechanisms of mechanotransduction proteins in disc cells,and identification of key pathological links and therapeutic targets,is of significant importance for developing treatment strategies for disc degeneration.Current strategies to delay intervertebral disc degeneration by targeting mechanotransduction mainly include regulation of transduction proteins and improvement of the extracellular matrix.However,research in this area is still in its early stages.As research continues,new breakthroughs are expected in the regulation of disc degeneration by mechanotransduction proteins.
2.Study of adsorption of coated aldehyde oxy-starch on the indexes of renal failure
Qian WU ; Cai-fen WANG ; Ning-ning PENG ; Qin NIE ; Tian-fu LI ; Jian-yu LIU ; Xiang-yi SONG ; Jian LIU ; Su-ping WU ; Ji-wen ZHANG ; Li-xin SUN
Acta Pharmaceutica Sinica 2025;60(2):498-505
The accumulation of uremic toxins such as urea nitrogen, blood creatinine, and uric acid of patients with renal failure
3.Mechanisms and Molecular Networks of Hypoxia-regulated Tumor Cell Dormancy
Mao ZHAO ; Jin-Qiu FENG ; Ze-Qi GAO ; Ping WANG ; Jia FU
Progress in Biochemistry and Biophysics 2025;52(9):2267-2279
Dormant tumor cells constitute a population of cancer cells that reside in a non-proliferative or low-proliferative state, typically arrested in the G0/G1 phase and exhibiting minimal mitotic activity. These cells are commonly observed across multiple cancer types, including breast, lung, and ovarian cancers, and represent a central cellular component of minimal residual disease (MRD) following surgical resection of the primary tumor. Dormant cells are closely associated with long-term clinical latency and late-stage relapse. Due to their quiescent nature, dormant cells are intrinsically resistant to conventional therapies—such as chemotherapy and radiotherapy—that preferentially target rapidly dividing cells. In addition, they display enhanced anti-apoptotic capacity and immune evasion, rendering them particularly difficult to eradicate. More critically, in response to microenvironmental changes or activation of specific signaling pathways, dormant cells can re-enter the cell cycle and initiate metastatic outgrowth or tumor recurrence. This ability to escape dormancy underscores their clinical threat and positions their effective detection and elimination as a major challenge in contemporary cancer treatment. Hypoxia, a hallmark of the solid tumor microenvironment, has been widely recognized as a potent inducer of tumor cell dormancy. However, the molecular mechanisms by which tumor cells sense and respond to hypoxic stress—initiating the transition into dormancy—remain poorly defined. In particular, the lack of a systems-level understanding of the dynamic and multifactorial regulatory landscape has impeded the identification of actionable targets and constrained the development of effective therapeutic strategies. Accumulating evidence indicates that hypoxia-induced dormancy tumor cells are accompanied by a suite of adaptive phenotypes, including cell cycle arrest, global suppression of protein synthesis, metabolic reprogramming, autophagy activation, resistance to apoptosis, immune evasion, and therapy tolerance. These changes are orchestrated by multiple converging signaling pathways—such as PI3K-AKT-mTOR, Ras-Raf-MEK-ERK, and AMPK—that together constitute a highly dynamic and interconnected regulatory network. While individual pathways have been studied in depth, most investigations remain reductionist and fail to capture the temporal progression and network-level coordination underlying dormancy transitions. Systems biology offers a powerful framework to address this complexity. By integrating high-throughput multi-omics data—such as transcriptomics and proteomics—researchers can reconstruct global regulatory networks encompassing the key signaling axes involved in dormancy regulation. These networks facilitate the identification of core regulatory modules and elucidate functional interactions among key effectors. When combined with dynamic modeling approaches—such as ordinary differential equations—these frameworks enable the simulation of temporal behaviors of critical signaling nodes, including phosphorylated AMPK (p-AMPK), phosphorylated S6 (p-S6), and the p38/ERK activity ratio, providing insights into how their dynamic changes govern transitions between proliferation and dormancy. Beyond mapping trajectories from proliferation to dormancy and from shallow to deep dormancy, such dynamic regulatory models support topological analyses to identify central hubs and molecular switches. Key factors—such as NR2F1, mTORC1, ULK1, HIF-1α, and DYRK1A—have emerged as pivotal nodes within these networks and represent promising therapeutic targets. Constructing an integrative, systems-level regulatory framework—anchored in multi-pathway coordination, omics-layer integration, and dynamic modeling—is thus essential for decoding the architecture and progression of tumor dormancy. Such a framework not only advances mechanistic understanding but also lays the foundation for precision therapies targeting dormant tumor cells during the MRD phase, addressing a critical unmet need in cancer management.
4.Traditional Chinese Medicine Regulates Gut Microbiota in Treatment of Thyroid Diseases via Gut-thyroid Axis: A Review
Shanshan LI ; Dandan WEI ; Yu FU ; Ping WANG ; Hui WANG ; Shuxun YAN
Chinese Journal of Experimental Traditional Medical Formulae 2024;30(19):254-262
Thyroid diseases are common endocrine disorders with high incidence. The diseases are closely related to genetic factors, immune system disorders, and hormone levels. Although modern medical therapies have achieved certain therapeutic effects, the side effects have affected clinical treatment. In recent years, studies have proven that gut microbiota is a key factor affecting thyroid diseases, and increasing studies have referred to the bidirectional information interaction system between the gut and thyroid as the gut-thyroid axis. This study adopts the meridian-collateral theory and the visceral manifestation theory of traditional Chinese medicine (TCM) to explain the functions, physiological characteristics, and pathological mechanisms of the gut and thyroid. Furthermore, this paper clarifies the mechanism of gut microbiota in modulating thyroid homeostasis by inducing inflammation and altering thyroid hormone metabolism from the perspective of molecular biology, clarifying the rationality of the gut-thyroid axis from the perspectives of TCM and Western medicine. Meanwhile, under the guidance of the gut-thyroid axis, increasing studies have been carried out regarding the application of TCM in regulating gut microbiota in the treatment of thyroid diseases. Both the active component emodin and compound prescription Yiqi Huatan Huoxue prescription of Chinese medicine can treat thyroid diseases by regulating the abundance and diversity of gut microbiota and improving the intestinal mucosal barrier. However, the systematic review of the research on TCM treatment of thyroid diseases by regulating gut microbiota remains to be conducted. This study expounds the gut-thyroid axis from both TCM and Western medicine and reviews the research progress in the TCM treatment of thyroid diseases by regulating gut microbiota, aiming to give new insights into the prevention and treatment of thyroid diseases with TCM.
5.Application of deep learning in automatic segmentation of clinical target volume in brachytherapy after surgery for endometrial carcinoma
Xian XUE ; Kaiyue WANG ; Dazhu LIANG ; Jingjing DING ; Ping JIANG ; Quanfu SUN ; Jinsheng CHENG ; Xiangkun DAI ; Xiaosha FU ; Jingyang ZHU ; Fugen ZHOU
Chinese Journal of Radiological Health 2024;33(4):376-383
Objective To evaluate the application of three deep learning algorithms in automatic segmentation of clinical target volumes (CTVs) in high-dose-rate brachytherapy after surgery for endometrial carcinoma. Methods A dataset comprising computed tomography scans from 306 post-surgery patients with endometrial carcinoma was divided into three subsets: 246 cases for training, 30 cases for validation, and 30 cases for testing. Three deep convolutional neural network models, 3D U-Net, 3D Res U-Net, and V-Net, were compared for CTV segmentation. Several commonly used quantitative metrics were employed, i.e., Dice similarity coefficient, Hausdorff distance, 95th percentile of Hausdorff distance, and Intersection over Union. Results During the testing phase, CTV segmentation with 3D U-Net, 3D Res U-Net, and V-Net showed a mean Dice similarity coefficient of 0.90 ± 0.07, 0.95 ± 0.06, and 0.95 ± 0.06, a mean Hausdorff distance of 2.51 ± 1.70, 0.96 ± 1.01, and 0.98 ± 0.95 mm, a mean 95th percentile of Hausdorff distance of 1.33 ± 1.02, 0.65 ± 0.91, and 0.40 ± 0.72 mm, and a mean Intersection over Union of 0.85 ± 0.11, 0.91 ± 0.09, and 0.92 ± 0.09, respectively. Segmentation based on V-Net was similarly to that performed by experienced radiation oncologists. The CTV segmentation time was < 3.2 s, which could save the work time of clinicians. Conclusion V-Net is better than other models in CTV segmentation as indicated by quantitative metrics and clinician assessment. Additionally, the method is highly consistent with the ground truth, reducing inter-doctor variability and treatment time.
6.Exploring Effect of Levo-tetrahydropalmatine on Spinal Metabolic Profiles of Rats with Chronic Pain Based on Widely-targeted Metabolomics
Dan WU ; Junhong ZHANG ; Lu FU ; Yute ZHONG ; Ping WANG ; Haiyu XU
Chinese Journal of Experimental Traditional Medical Formulae 2024;30(23):187-194
ObjectiveTo elucidate the underlying mechanism of the efficacy of Levo-tetrahydropalmatine (l-THP) in alleviating chronic pain and identify the key metabolites and metabolic pathways for l-THP regulation. MethodA classical chronic constrictive injury (CCI) model was built in rats’ bodies, and the pain intensity was evaluated by detecting the mechanical withdrawal threshold. On the sixth day after surgery, oral administration of l-THP (64 mg·kg-1) and positive control drug pregabalin (Pre, 30 mg·kg-1) was performed on rats. After the last administration following consecutive five times of administration, ipsilateral spinal cord tissues were collected for widely-targeted metabonomics, with eight rats in each group. Differential metabolites (DEMs) were identified according to the standard of VIP>1.0 and P<0.05, and functional enrichment and interaction analyses of the Kyoto Encyclopedia of Genes and Genomes (KEGG) were performed to obtain the key metabolites and metabolic pathways associated with the analgesic effects of l-THP. ResultIn behavioral science, administration of both l-THP and Pre significantly improved mechanical hyperalgesia in CCI rats (P<0.01), thus mitigating pain. Metabonomic analysis results revealed that l-THP administration corrected the aberrant metabolic profile in the spinal cord of CCI rats. Meanwhile, 53 DEMs were called back, including several classical pain biomarkers such as sphingosine-1-phosphate (S1P), cyclic adenosine monophosphate (cAMP), acetylcholine, and glutamate. Functional enrichment analysis of the DEMs indicated the involvement of metabolic pathways such as ferroptosis, autophagy, neuroactive ligand-receptor interactions, phospholipase D and cAMP-related signaling pathways, glutathione metabolism, and cofactor biosynthesis in mediating the effects of l-THP on the metabolic profile of the spinal cord. Further analyses on the relative metabolite abundance and metabolic pathways indicated that by significantly decreasing the relative levels of glutamate (P<0.01) and glycine (P<0.01) in the spinal cord, l-THP can promote the synthesis of reduced glutathione (GSH) and increase the ratio of reduced/oxidized GSH (P<0.05). Additionally, it can relieve oxidative stress in the spinal cord of CCI rats and significantly reduce the acetyl-CoA level (P<0.01) to finally inhibit ferroptosis occurrence. Conclusionl-THP may exert analgesic effects by regulating multiple metabolic pathways including GSH metabolism, ferroptosis, cofactor biosynthesis, and amino acid synthesis to correct the aberrant metabolic profile in the spinal cord of CCI rats. Ferroptosis and GSH metabolism may be the key pathways for l-THP regulation, with glutamate, glycine, glutathione, and acetyl-CoA as the key metabolites.
7.2-(2-Phenylethyl)chromones from agarwood of Aquilaria agallocha and their inhibitory activity against KRAS mutant NSCLC
Bao-juan XING ; Yi-fan FU ; He CUI ; Qian ZHOU ; Zhi-kang WANG ; Peng CAO ; Fa-ping BAI ; Xue-ting CAI
Acta Pharmaceutica Sinica 2024;59(9):2519-2528
The 2-(2-phenylethyl)chromones were separated from agarwood of
8.Stability study of umbilical cord mesenchymal stem cells formulation in large-scale production
Wang-long CHU ; Tong-jing LI ; Yan SHANGGUAN ; Fang-tao HE ; Jian-fu WU ; Xiu-ping ZENG ; Tao GUO ; Qing-fang WANG ; Fen ZHANG ; Zhen-zhong ZHONG ; Xiao LIANG ; Jun-yuan HU ; Mu-yun LIU
Acta Pharmaceutica Sinica 2024;59(3):743-750
Umbilical cord mesenchymal stem cells (UC-MSCs) have been widely used in regenerative medicine, but there is limited research on the stability of UC-MSCs formulation during production. This study aims to assess the stability of the cell stock solution and intermediate product throughout the production process, as well as the final product following reconstitution, in order to offer guidance for the manufacturing process and serve as a reference for formulation reconstitution methods. Three batches of cell formulation were produced and stored under low temperature (2-8 ℃) and room temperature (20-26 ℃) during cell stock solution and intermediate product stages. The storage time intervals for cell stock solution were 0, 2, 4, and 6 h, while for intermediate products, the intervals were 0, 1, 2, and 3 h. The evaluation items included visual inspection, viable cell concentration, cell viability, cell surface markers, lymphocyte proliferation inhibition rate, and sterility. Additionally, dilution and culture stability studies were performed after reconstitution of the cell product. The reconstitution diluents included 0.9% sodium chloride injection, 0.9% sodium chloride injection + 1% human serum albumin, and 0.9% sodium chloride injection + 2% human serum albumin, with dilution ratios of 10-fold and 40-fold. The storage time intervals after dilution were 0, 1, 2, 3, and 4 h. The reconstitution culture media included DMEM medium, DMEM + 2% platelet lysate, 0.9% sodium chloride injection, and 0.9% sodium chloride injection + 1% human serum albumin, and the culture duration was 24 h. The evaluation items were viable cell concentration and cell viability. The results showed that the cell stock solution remained stable for up to 6 h under both low temperature (2-8 ℃) and room temperature (20-26 ℃) conditions, while the intermediate product remained stable for up to 3 h under the same conditions. After formulation reconstitution, using sodium chloride injection diluted with 1% or 2% human serum albumin maintained a viability of over 80% within 4 h. It was observed that different dilution factors had an impact on cell viability. After formulation reconstitution, cultivation in medium with 2% platelet lysate resulted in a cell viability of over 80% after 24 h. In conclusion, the stability of cell stock solution within 6 h and intermediate product within 3 h meets the requirements. The addition of 1% or 2% human serum albumin in the reconstitution diluent can better protect the post-reconstitution cell viability.
9.Effect of ANAs on hormone response in patients with AIH-PBC overlap syndrome and AIH-only
Qiong LI ; Ai-Ping TIAN ; Yong-Wu MAO ; Fu-Chun WANG ; Xiao-Rong MAO
Medical Journal of Chinese People's Liberation Army 2024;49(1):64-69
Objective To investigate the effect of antinuclear antibodies(ANAs)on hormone response in patients with autoimmune hepatitis(AIH)-primary biliary cholangitis(PBC)overlap syndrome(AIH-PBC OS)and AIH-only within half a year.Methods A retrospective analysis of 77 patients with autoimmune liver disease(AILD)admitted to First Clinical Medical College of Lanzhou University from January 2018 to December 2021,all of whom were confirmed by liver biopsy and receiving glucocorticoid treatment.Among them,46 patients were in AIH-PBC OS group and 31 were in AIH-only group.The general clinical characteristics,liver puncture-related indexes,autoantibodies and immunoglobulin indexes of patients in each group at the time of diagnosis were collected and compared,and the biochemical and immunoglobulin indexes of patients at the time of hormone use and at the time of review within 6 months were also collected,and the hormone response within 6 months was evaluated according to the levels of glutamic transaminase(AST),glutamic alanine transaminase(ALT)and immunoglobulin G(IgG),and the effect of ANAs on hormone response outcomes in both groups over a six-month period was analyzed.Multifactorial ordered logistic analysis was performed to evaluate the effect of ANAs on hormone response between two groups.Results There was no statistically significant difference in the percentage of AIH-PBC OS and AIH-only patients among both ANAs-positive and-negative AILD patients(55.6%vs.44.4%and 65.6%vs.34.4%,P>0.05).Among 46 patients with AIH-PBC OS,there were 25 in ANAs-positive group and 21 in ANAs-negative group.The rate of complete hormone response within 6 months was lower than that of ANAs-negative group(44.0%vs.76.2%),while the rate of hormone non-response was higher than that of ANAs-negative group(20.0%vs.0),and the difference was statistically significant(P<0.05).There were 20 cases of ANAs-positive and 11 cases of ANAs-negative in the 31 AIH-only patients.There was no statistically significant difference in the results of hormone response within 6 months between the two groups(P>0.05).Multifactorial ordered logistic analysis showed that AIH-PBC OS patients were more likely to have a higher likelihood of 6-month hormone non-response rate in ANAs-positive patients,and the difference was statistically different(P<0.05).And there was no significant effect of ANAs type on hormone response outcome in AIH-only patients(P>0.05).Conclusion AIH-PBC OS ANAs-positive patients have a poor hormone response within half a year.In AIH-only patients,ANAs have no significant effect on hormone response results.
10.Comparison of the predictive value of new simplified insulin resistance assessment indexes in identifying left ventricular subclinical dysfunction in T2DM patients
Yan-Yan CHEN ; Meng-Ying LI ; Jie ZHOU ; Jian-Fang FU ; Ying ZHANG ; Yi WANG ; Cheng WANG ; Xiang-Yang LIU ; Sheng-Jun TA ; Li-Wen LIU ; Ze-Ping LI ; Xiao-Miao LI
Medical Journal of Chinese People's Liberation Army 2024;49(2):137-143
Objective To investigate the predictive value of new simplified insulin resistance(IR)assessment indexes in identifying subclinical left ventricular systolic function impairment in patients with type 2 diabetes mellitus(T2DM).Methods A total of 150 T2DM patients with preserved left ventricular ejection fraction(LVEF≥50%)who were admitted to Department of Endocrinology of the First Affiliated Hospital of Air Force Medical University from June 2021 to December 2021 were retrospectively analyzed.All patients underwent two-dimensional speckle tracking echocardiography to measure left ventricular global longitudinal strain(GLS).According to GLS value,the subjects were divided into the normal group(GLS≥18%group,n=80)and the impaired group(GLS<18%group,n=70).Some new simplified IR assessment indicators were calculated and compared between the two groups,including body mass index(BMI),TG/HDL-C ratio,triglyceride-glucose(TyG)index,TyG-BMI index,TyG-WHR and metabolic score for IR(METS-IR).Correlation between the GLS and the new simplified IR assessment indexes was analyzed.The receiver operating characteristic(ROC)curve was used to analyze the diagnostic efficacy of different simplified IR assessment indexes,with the area under the curve(AUC)calculated.Furthermore,according to whether the subjects were complicated with hypertension,binary logistics regression analysis was performed to explore the independent correlation between the simplified IR assessment index and GLS<18%.Results Total 150 were included with aged(54.5±13.7)years with 96(64.0%)men and 54(36.0%)women.Compared with the GLS≥18%group,the TG/HDL-C ratio,TyG index,TyG-BMI,and METS-IR of subjects in the GLS<18%group were significantly increased(P<0.05).Pearson correlation analysis showed that TG/HDL-C ratio,TyG index,TyG-BMI,TyG-WHR,and METS-IR were negatively correlated with GLS(P<0.05).ROC analysis showed that TyG index had a certain predictive value for the evaluation of GLS<18%(AUC=0.678,95%CI 0.591-0.765,P<0.001).Stratification based on hypertension and further adjusting for confounding factors,TyG index remains significantly associated with GLS<18%(OR=3.249,95%CI 1.045-10.103,P=0.042).Conclusions The novel simplified insulin resistance evaluation indexes are closely associated with left ventricular subclinical systolic dysfunction in T2DM patients with preserved ejection fraction.TyG index is an effective index to identify left ventricular subclinical dysfunction in these populations.

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