1.Visualization analysis of literature on the effect of lipid metabolism on osteoporosis
Jie HUANG ; Hao ZENG ; Wenchi WANG ; Zhucheng LYU ; Wei CUI
Chinese Journal of Tissue Engineering Research 2026;30(6):1558-1568
BACKGROUND:Studies have shown that lipid metabolism and related diseases can affect the development of osteoporosis.OBJECTIVE:Using bibliometric visualization analysis software to analyze and summarize the frontier content and research hotspots in the field of lipid metabolism affecting osteoporosis.METHODS:Using the Web of Science core collection database as the retrieval platform,relevant literature regarding the effect of lipid metabolism on osteoporosis from 2004 to 2024 was retrieved.VOSviewer and CiteSpace were used for bibliometric and visual analyses.RESULTS AND CONCLUSION:A total of 1 277 articles were included,and the number of articles on the effect of lipid metabolism on osteoporosis at home and abroad was increasing year by year.The number of articles published in China was 417,ranking first,and the United States was 243,ranking second.Shanghai Jiao Tong University ranked first with 30 articles.Professor Rosen Clifford J from Tufts University School of Medicine and Professor Recker Robert R from Clayton University were the most cited authors.The number of documents published in BONE in the Netherlands ranked first,and the JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM in England was the most cited journal.Bone mineral density,bone metabolism,menopause,and obesity were the core keywords,and they were also research hotspots in this field.The above results show that in the past 20 years,research in the field of lipid metabolism affecting osteoporosis has focused on the role of abnormal lipid metabolism in bone mineral density and bone metabolism,thereby regulating osteoporosis and post-menopause osteoporosis.Clarifying the pathway of this mechanism and"bone-lipid balance"is the future research idea and direction.
2.Visualization analysis of literature on the effect of lipid metabolism on osteoporosis
Jie HUANG ; Hao ZENG ; Wenchi WANG ; Zhucheng LYU ; Wei CUI
Chinese Journal of Tissue Engineering Research 2026;30(6):1558-1568
BACKGROUND:Studies have shown that lipid metabolism and related diseases can affect the development of osteoporosis.OBJECTIVE:Using bibliometric visualization analysis software to analyze and summarize the frontier content and research hotspots in the field of lipid metabolism affecting osteoporosis.METHODS:Using the Web of Science core collection database as the retrieval platform,relevant literature regarding the effect of lipid metabolism on osteoporosis from 2004 to 2024 was retrieved.VOSviewer and CiteSpace were used for bibliometric and visual analyses.RESULTS AND CONCLUSION:A total of 1 277 articles were included,and the number of articles on the effect of lipid metabolism on osteoporosis at home and abroad was increasing year by year.The number of articles published in China was 417,ranking first,and the United States was 243,ranking second.Shanghai Jiao Tong University ranked first with 30 articles.Professor Rosen Clifford J from Tufts University School of Medicine and Professor Recker Robert R from Clayton University were the most cited authors.The number of documents published in BONE in the Netherlands ranked first,and the JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM in England was the most cited journal.Bone mineral density,bone metabolism,menopause,and obesity were the core keywords,and they were also research hotspots in this field.The above results show that in the past 20 years,research in the field of lipid metabolism affecting osteoporosis has focused on the role of abnormal lipid metabolism in bone mineral density and bone metabolism,thereby regulating osteoporosis and post-menopause osteoporosis.Clarifying the pathway of this mechanism and"bone-lipid balance"is the future research idea and direction.
3.Electroacupuncture Ameliorates NLRP3-mediated Pyroptosis in Spinal Cord Injury Rats by Reshaping The Gut Microbiota
Yin-Jie CUI ; Hong-Ru LI ; Jing-Yi LIU ; Hai-Lin DU ; Shu-Wen LIU ; Yuan YANG ; Chen-Guang ZHENG ; Jian-Qin XIANG ; Xiao-Juan SONG
Progress in Biochemistry and Biophysics 2026;53(5):1132-1153
ObjectiveSpinal cord injury (SCI) directly impairs the regulatory function of the autonomic nervous system, induces intestinal dysfunction, and significantly reduces patients’ quality of life. Preclinical studies have shown that electroacupuncture (EA) therapy can regulate the brain-gut axis and is used to treat central nervous system diseases such as major depressive disorder, Alzheimer’s disease and Parkinson’s disease. Recent research has established that fecal microbiota transplantation (FMT) from EA-treated SCI rats restored intestinal motility and colonic morphology. However, it remains unclear whether the regulation of gut microbiota by EA therapy directly contributes to neural repair after SCI. This study aims to explore whether gut microbiota mediates the neuroprotective effect of EA in the treatment of SCI and its possible mechanism. MethodsThe study employed RNA transcriptome analysis of spinal cord tissue to characterize gene expression profiles and to identify key signaling pathways following EA treatment for SCI. Hematoxylin-Eosin (HE) staining and Nissl staining were used to observe the morphological changes in spinal cord tissue. Western blot (WB) and enzyme-linked immunosorbent assay (ELISA) were applied to detect the effects of EA on the expression of proteins related to nucleotide-binding domain leucine-rich repeat and pyrin domain-containing receptor 3 (NLRP3) -dependent pyroptosis. Using 16S rDNA sequencing, the study observed alterations in gut microbiota diversity and community composition in SCI rats. Prior to establishing SCI models, rats were pretreated with an antibiotic cocktail to induce gut dysbiosis, and the effects on intestinal function and spinal cord neural repair were evaluated. FMT was performed to investigate the regulatory effects of post-EA FMT on motor function, general status, liver and spleen indices, and NLRP3-mediated pyroptosis in SCI rats. ResultsEA improved motor function and reduced regulated neuronal cell death in SCI rats. Transcriptomic analysis demonstrated the activation of immune- and inflammation-related pathways post-SCI, including NOD-like receptors, nuclear factor-kappa B(NF-κB), and Toll-like receptor (TLR) pathways. EA primarily influenced intestinal inflammation and autoimmune functions. 16S rDNA sequencing illustrated that EA did not alter the diversity of gut microbiota. However, EA altered the gut microbiota composition in SCI rats, increasing Lactobacillus and Akkermansia genera while rebalancing the Firmicutes/Bacteroidetes ratio. Furthermore, depletion of gut microbiota by antibiotics disrupted the intestinal barrier, reduced the expression of intestinal barrier proteins Zonula Occludens-1 (ZO-1) and Occludin, elevated serum lipopolysaccharide-binding protein (LBP) levels, exacerbated spinal cord tissue damage, and hindered motor function recovery in SCI rats. FMT from donors treated with EA reduced LBP levels in the intestine, blood, and spinal cord of rats, inhibited the TLR4 myeloid differentiation primary response protein 88 (MyD88)-NF‑κB pathway and NLRP3-dependent pyroptosis, and improved motor function. On the other hand, FMT treatment resulted in decreased body weight and food intake, whereas FMT using EA-treated donors effectively alleviated these alterations. ConclusionEA effectively alleviated neuroinflammatory responses in rats with SCI, primarily through regulating the gut microbiota and suppressing the NLRP3-dependent pyroptosis signaling pathway.
4.Electroacupuncture Ameliorates NLRP3-mediated Pyroptosis in Spinal Cord Injury Rats by Reshaping The Gut Microbiota
Yin-Jie CUI ; Hong-Ru LI ; Jing-Yi LIU ; Hai-Lin DU ; Shu-Wen LIU ; Yuan YANG ; Chen-Guang ZHENG ; Jian-Qin XIANG ; Xiao-Juan SONG
Progress in Biochemistry and Biophysics 2026;53(5):1132-1153
ObjectiveSpinal cord injury (SCI) directly impairs the regulatory function of the autonomic nervous system, induces intestinal dysfunction, and significantly reduces patients’ quality of life. Preclinical studies have shown that electroacupuncture (EA) therapy can regulate the brain-gut axis and is used to treat central nervous system diseases such as major depressive disorder, Alzheimer’s disease and Parkinson’s disease. Recent research has established that fecal microbiota transplantation (FMT) from EA-treated SCI rats restored intestinal motility and colonic morphology. However, it remains unclear whether the regulation of gut microbiota by EA therapy directly contributes to neural repair after SCI. This study aims to explore whether gut microbiota mediates the neuroprotective effect of EA in the treatment of SCI and its possible mechanism. MethodsThe study employed RNA transcriptome analysis of spinal cord tissue to characterize gene expression profiles and to identify key signaling pathways following EA treatment for SCI. Hematoxylin-Eosin (HE) staining and Nissl staining were used to observe the morphological changes in spinal cord tissue. Western blot (WB) and enzyme-linked immunosorbent assay (ELISA) were applied to detect the effects of EA on the expression of proteins related to nucleotide-binding domain leucine-rich repeat and pyrin domain-containing receptor 3 (NLRP3) -dependent pyroptosis. Using 16S rDNA sequencing, the study observed alterations in gut microbiota diversity and community composition in SCI rats. Prior to establishing SCI models, rats were pretreated with an antibiotic cocktail to induce gut dysbiosis, and the effects on intestinal function and spinal cord neural repair were evaluated. FMT was performed to investigate the regulatory effects of post-EA FMT on motor function, general status, liver and spleen indices, and NLRP3-mediated pyroptosis in SCI rats. ResultsEA improved motor function and reduced regulated neuronal cell death in SCI rats. Transcriptomic analysis demonstrated the activation of immune- and inflammation-related pathways post-SCI, including NOD-like receptors, nuclear factor-kappa B(NF-κB), and Toll-like receptor (TLR) pathways. EA primarily influenced intestinal inflammation and autoimmune functions. 16S rDNA sequencing illustrated that EA did not alter the diversity of gut microbiota. However, EA altered the gut microbiota composition in SCI rats, increasing Lactobacillus and Akkermansia genera while rebalancing the Firmicutes/Bacteroidetes ratio. Furthermore, depletion of gut microbiota by antibiotics disrupted the intestinal barrier, reduced the expression of intestinal barrier proteins Zonula Occludens-1 (ZO-1) and Occludin, elevated serum lipopolysaccharide-binding protein (LBP) levels, exacerbated spinal cord tissue damage, and hindered motor function recovery in SCI rats. FMT from donors treated with EA reduced LBP levels in the intestine, blood, and spinal cord of rats, inhibited the TLR4 myeloid differentiation primary response protein 88 (MyD88)-NF‑κB pathway and NLRP3-dependent pyroptosis, and improved motor function. On the other hand, FMT treatment resulted in decreased body weight and food intake, whereas FMT using EA-treated donors effectively alleviated these alterations. ConclusionEA effectively alleviated neuroinflammatory responses in rats with SCI, primarily through regulating the gut microbiota and suppressing the NLRP3-dependent pyroptosis signaling pathway.
5.Influence of pterygium thickness and area on corneal refractive status
Xiaodong CHENG ; Jie WANG ; Song GAO ; Yanhong LU ; Yanbo MA ; Xinming CUI ; Xihui CHEN
International Eye Science 2026;26(1):152-156
AIM: To investigate the influence of pterygium thickness and area on corneal refractive status.METHODS: Prospective longitudinal study. A total of 60 cases(60 eyes)of pterygium patients admitted to our hospital from January 2024 to September 2024 were randomly selected. All patients underwent pterygium excision combined with pedicle conjunctival flap transplantation for treatment. Optical coherence tomography(OCT)was used to measure the preoperative thickness of patient's pterygium, and a digital slit lamp microscope was used to measure the area of pterygium. The corneal refractive status(degree of corneal astigmatism and average curvature)and changes in uncorrected visual acuity of patients before surgery, 1 d, 1, and 3 mo after surgery were compared. The relationship between preoperative thickness and area of pterygium in patients and corneal refractive status indicators at different postoperative time points were analyzed, and Logistic regression was used to analyze the impact of pterygium thickness and area on postoperative visual improvement in patients.RESULTS: All patients completed follow-up after surgery for 3 mo. At 3 mo after surgery, visual acuity improved in 21 eyes(35%). The results of bivariate Pearson correlation analysis showed that the thickness and area of pterygium positively correlated with the degree of corneal astigmatism and uncorrected visual acuity before surgery and 1 d, 1, and 3 mo after surgery(all P<0.05), and negatively correlated with the average corneal curvature before surgery and 1 d, 1, and 3 mo after surgery(all P<0.05). Logistic regression analysis showed that the thickness and area of pterygium before surgery, high degree of corneal astigmatism, and low uncorrected visual acuity(large LogMAR value)were all risk factors for poor postoperative visual improvement in patients(OR>1, P<0.05). The large average corneal curvature before surgery was a protective factor for poor postoperative visual improvement in patients(OR<1, P<0.05).CONCLUSION: The increase in thickness and area of pterygium can, to some extent, improve corneal astigmatism, reduce the average curvature of the cornea, and affect postoperative visual recovery.
6.Expression of SLC7A11 in esophageal squamous cell carcinoma tissues and its preliminary study on mediating tumor cell metabolism
Huakun ZHANG ; Mengfei SUN ; Qi SUN ; Ziru ZHOU ; Jie YU ; Yunzhao CHEN ; Xiaobin CUI
Acta Universitatis Medicinalis Anhui 2026;61(2):270-276
ObjectiveTo investigate the relationship between solute carrier family 7 member 11 (SLC7A11) expression in esophageal squamous cell carcinoma (ESCC) and clinical prognosis, and to determine its effects on ESCC cell growth, migration, and other biological activities. MethodsSLC7A11 protein expression was measured in 310 ESCC tissues and 259 adjacent normal tissues using immunohistochemistry to statistically assess the association of SLC7A11 with clinicopathologic characteristics and prognosis in ESCC patients. The expression of SLC7A11 in ESCC cell lines was suppressed through siRNA-mediated knockdown. The specific effects of SLC7A11 knockdown on proliferation and migration were evaluated using CCK-8, clonogenic assay, and Transwell assays. Adenosine triphosphate (ATP), lactic acid and pyruvate assays were used to measure ESCC metabolism. ResultsSLC7A11 protein expression was localized predominantly in the cytoplasm of ESCC tissues. Significantly higher SLC7A11 expression levels were observed in ESCC tissues compared to adjacent normal tissues (P<0.001). High SLC7A11 expression was associated with poorer differentiation in patients (P<0.01). Kaplan-Meier survival analysis demonstrated significantly shorter overall survival in patients with high SLC7A11 expression compared to those with low expression (P<0.05). CCK-8 and colony formation assays demonstrated that the knockdown of SLC7A11 expression significantly suppressed the proliferative capacity of tumor cells (P<0.001). Furthermore, Transwell assays revealed a marked decline in tumor cell migration capacity following SLC7A11 suppression (P<0.001). Critically, SLC7A11 knockdown also reduced intracellular levels of ATP, lactate, and pyruvate, demonstrating that SLC7A11 modulated metabolic activity in ESCC cells(P<0.001). ConclusionThe expression level of SLC7A11 is relatively high in ESCC and is strongly associated with poor prognosis. Silencing SLC7A11 significantly inhibits esophageal cancer cell growth and migration. SLC7A11 has the ability to regulate glucose, lactic acid and ATP metabolism levels in ESCC, thereby affecting the metabolic microenvironment of ESCC.
7.Change patterns of functional connectivity of basal forebrain subregions in Alzheimer disease patients
Yujie HE ; Shaozhen YAN ; Zhigeng CHEN ; Sheng BI ; Hanxiao XUE ; Bixiao CUI ; Jie MA ; Jie LU
Chinese Journal of Medical Imaging Technology 2025;41(5):701-705
Objective To observe the change patterns of functional connectivity(FC)of basal forebrain subregions in Alzheimer disease(AD)patients.Methods Totally 42 AD patients(AD group)and 41 healthy controls(HC group)were retrospectively enrolled.Seed-based FC analysis was performed on basal forebrain subregions(Ch123 and Ch4)based on their resting-state functional MRI data and compared between groups.Results Compared with HC group,FC between left Ch4 and left hippocampus as well as left posterior cingulate gyrus significantly decreased,but between right Ch4 and right precentral gyrus,as well as right postcentral gyrus increased in AD group(GRF correction,voxel level P<0.001,cluster level P<0.05).Meanwhile,FC between left Ch123 and left superior temporal gyrus,left insula,between right Ch123 and left superior temporal gyrus,left temporal pole significantly increased,while between right Ch123 and right orbital superior frontal gyrus,right orbital inferior frontal gyrus significantly decreased in AD group(GRF correction,voxel level P<0.001,cluster level P<0.05).Conclusion FC changes of different basal forebrain subregions in AD patients were various.
8.Predictive value of fine motor deficits for mild cognitive impairment in the elderly based on machine learning
Yejing ZHAO ; Yanyan ZHAO ; Jie ZHANG ; Han CUI ; Ji SHEN ; Ying YUAN ; Hong SHI ; Jing LI
Chinese Journal of Geriatric Heart Brain and Vessel Diseases 2025;27(6):705-711
Objective To explore the characteristics of fine motor deficits in the elderly individuals with MCI due to AD through a new wearable inertial motion capture device,and then construct a prediction model for MCI.Methods A total of 260 elderly subjects were recruited in community from November,2022 to April,2023,and based on diagnosis,they were divided into a MCI group(134 cases)and a control group(126 cases).A new wearable inertial motion capture device,which was self-designed and developed based on MEMS inertial sensor,was used to capture the fine mo-tor movements of the hands,and the obtained data were analyzed with a computerized assessment system to make the quantitative evaluation of fine motor.LASSO learning algorithm and logistic regression analysis were employed to identify the predictive factors for MCI,and then a nomo-gram was constructed based on these factors.ROC curve was plotted to evaluate the predictive ability of the model by calculating its AUC value.DC A,CIC,and Bootstrap method were applied to evaluate and validate the clinical utility and stability of the model.Results The total score of MoCA(22.18±2.84 vs 27.60±1.10)and scores of the dimensions were significantly lower in the MCI group than the control group(all P<0.01).In the five digital assessment tasks,the MCI group showed obviously poorer fine motor performance of both hands than the control group(P<0.05,P<0.01).ROC curve analysis showed that the AUC value of our nomogram model in predicting MCI was 0.762(95%CI:0.705-0.819).DCA,CIC,and Bootstrap methods demonstra-ted good and relatively stable discrimination,calibration,and clinical applicability of the model.Conclusion MEMS inertial sensor motion capture technology can make digital evaluation of fine motor.For the elderly,fine motor deficits are significantly associated with risk for MCI.Our no-mogram model based on fine motion parameters shows good predictive efficacy in assessing the risk of MCI.
9.The effect of core muscle group stability training combined with biofeedback electrical stimulation on postpartum pelvic floor function in women underwent selective episiotomy
Jie WANG ; Maocui XIAO ; Aiwen WANG ; Haiping CUI ; Ruiping WANG
Tianjin Medical Journal 2025;53(6):644-648
Objective To explore the effect of core muscle stability training combined with biofeedback electrical stimulation on pelvic floor muscle function in postpartum women underwent episiotomy.Methods Clinical data of 98 parturients who underwent selective episiotomy during natural childbirth were retrospectively analyzed.According to different intervention methods,the included parturients were divided into the control group and the combination group,with 49 cases in each group.The control group was treated only with biofeedback electrical stimulation therapy,while the combination group was treated with core muscle stability training combined with biofeedback electrical stimulation therapy.The general information and pelvic floor muscle strength,pelvic floor electromyography values,pelvic floor dysfunction questionnaire(PFDI-20)scores and female sexual function score scale(FSFI)scores were compared between the two groups of parturients before and after intervention.Results There were no significant differences in age,gestational age,body mass index and pelvic floor muscle strength grading between the two groups(P>0.05).Compared with before intervention,pelvic floor muscle strength,pelvic floor electromyography values and FSFI scores increased in both groups after intervention,while PFDI-20 scores decreased(all P<0.05).After intervention,compared with the control group,the combination group showed more significant improvement in pelvic floor muscle strength,with an increase in class Ⅰ and class Ⅱ fiber electromyography values,a decrease in PFDI-20 score,and an increase in FSFI scores(all P<0.05).The incidence of pelvic floor dysfunction in the two groups was statistically significant(22.45%vs.6.12%,P<0.05).Conclusion Core muscle stability training combined with biofeedback electrical stimulation can effectively promote the recovery of pelvic floor muscle function and improve sexual function in postpartum women underwent episiotomy.
10.Construction of an early child development index system in China using a Delphi method
Jia-qi SHI ; Yu-jie CUI ; Jia-ning XU ; Fei-fei LI ; Guo-hong LI ; Fan JIANG
Chinese Journal of Health Policy 2025;18(5):35-41
Objective:This study aims to construct a monitoring index system for early child development(ECD)that is consistent with China's actual situation,to scientifically and systematically evaluate the level of ECD and service capacity in various regions.Methods:The study was predicated on the theoretical foundation of the Nutrition Care Framework(NCF).Indicators were initially selected through a literature review and focus group interviews.The evaluation indicators were then determined through two rounds of expert consultation utilising the Delphi method.The Priority Sequence Diagram Method(PSDM)was subsequently implemented to determine indicator weights.Results:The final framework encompasses six first-level indicators(good health,adequate nutrition,responsive caregiving,opportunities for learning,security and safety,and demand and investment),12 second-level indicators,and 31 third-level indicators.Conclusion:The ECD index system constructed in this study integrates macro,meso,and micro levels,emphasises cross-sectoral collaboration and attention to child caregivers,and incorporates equity indicators to measure regional disparities.The research outcomes provide a reference for quantitatively assessing the level of ECD and service capacity across various regions in China.By leveraging mechanisms for cross-sectoral collaboration and goal-oriented approaches,the study provides a framework for the allocation of resources to key areas,thus laying the foundation for the sustained implementation and resource assurance of the child-priority development strategy.

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