1.Weighted gene co-expression network analysis combined with machine learning to screen and validate biomarkers for osteoarthritis
Chinese Journal of Tissue Engineering Research 2026;30(5):1096-1105
BACKGROUND:Dyslipidemia affects chondrocyte metabolism and plays an important role in the occurrence and progression of osteoarthritis,yet its underlying mechanisms remain unclear.OBJECTIVE:To identify characteristic genes related to lipid metabolism in chondrocytes of osteoarthritis through the weighted gene co-expression network analysis combined with machine learning algorithms and to conduct the preliminary experimental validation.METHODS:Based on the weighted gene co-expression network analysis and linear models for microarray data,differentially co-expressed genes were identified.Machine learning methods were used for screening characteristic genes related to lipid metabolism.Protein-protein interaction analysis was conducted to explore the interaction network and Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses were employed to investigate the signaling pathways involved in the differentially co-expressed genes.Subsequently,immune correlation analysis was utilized to identify the associations between the characteristic genes and immune infiltration patterns.Furthermore,in vitro molecular experiments were performed to validate the mRNA and protein levels of the characteristic genes.RESULTS AND CONCLUSION:(1)A total of 123 high-expression and 110 low-expression differentially co-expressed genes were identified after data normalization and application of principal component analysis,weighted gene co-expression network analysis,and linear models for microarray data.(2)Thirty-seven characteristic genes were screened using logistic regression,random forest,and support vector machine,among which SMPD3 and CYP4F3 were identified as two characteristic genes related to lipid metabolism.(3)Protein-protein interaction analysis revealed that SMPD3 and CYP4F3 proteins showed relatively low levels of interaction.(4)Gene Ontology analysis indicated that these genes were primarily enriched in multiple biological processes,including neutrophils and their immune responses,immune system processes,and neutrophil activation.Kyoto Encyclopedia of Genes and Genomes enrichment analysis suggested that they were mainly involved in key pathways such as extracellular matrix-receptor interaction and cell adhesion.(5)Cell type Identification by estimating relative subsets of RNA transcripts immune infiltration analysis showed significant differences in eight types of immune cells in osteoarthritis.Further correlation analysis revealed that SMPD3 was significantly positively correlated with resting dendritic cells(r=0.44,P=3.6×10-3)and significantly negatively correlated with neutrophils(r=-0.48,P=1.7×10-3),whereas CYP4F3 was significantly positively correlated with monocytes and neutrophils(r=0.76,P=7.6×10-9;r=0.73,P=6.0×10-8),and significantly negatively correlated with T follicular helper cells and resting dendritic cells(r=-0.38,P=0.01;r=-0.38,P=0.01).(6)In vitro molecular experiments demonstrated that SMPD3 mRNA and protein levels were significantly increased in the osteoarthritis group,while CYP4F3 mRNA and protein levels were decreased.To conclude,the lipid metabolism-related SMPD3 and CYP4F3 of osteoarthritis can serve as potential biomarkers for the targeted therapy of osteoarthritis and for assessing cartilage repair or degeneration,which provides a new strategy for exploring the relationship between dyslipidemia and osteoarthritis and for clinical targeted treatment in Chinese population.
2.Association between physical activity level and dyslipidemia among freshmen of a medical college
Yushuang LUO ; Yan WANG ; Yanli LIU ; Jin ZHANG ; Minghui HE ; Wanhong HE ; Juan WU ; Yihan GU ; Chenyang ZHENG ; WANG WANG
Journal of Public Health and Preventive Medicine 2026;37(2):170-174
Objective To investigate the association between physical activity levels and blood lipids among college freshmen, and to provide scientific evidence for the health management of college freshmen. Methods An electronic questionnaire survey on physical activity was conducted on freshmen of a university, and fasting blood biochemical indicators were detected. The International Physical Activity Questionnaire (IPAQ) short form was used to evaluate the physical activity levels of the participants. Dyslipidemia was defined as an abnormality in any one of the following serum lipid parameters: total cholesterol, triglycerides, low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), or non-high-density lipoprotein cholesterol. Binary logistic regression and stratified analyses were employed to explore the relationship between physical activity and blood lipids. Results A total of 3 401 participants were included, with an average age of 18.45 ± 0.92 years, and 60.5% were female. The prevalence of dyslipidemia was 17.7%, with a higher rate among males (22.1%) than females (14.8%). After adjusting for confounding factors related to blood lipids, high-intensity physical activity was negatively associated with the risk of elevated LDL-C among males (OR = 0.36, 95% CI: 0.13–0.99, P = 0.049). Conclusion Among freshmen at a medical college in Hubei Province, high-intensity physical activity is negatively associated with the risk of elevated LDL-C in males, but this association needs to be further confirmed by larger prospective cohort studies.
3.Weighted gene co-expression network analysis combined with machine learning to screen and validate biomarkers for osteoarthritis
Chinese Journal of Tissue Engineering Research 2026;30(5):1096-1105
BACKGROUND:Dyslipidemia affects chondrocyte metabolism and plays an important role in the occurrence and progression of osteoarthritis,yet its underlying mechanisms remain unclear.OBJECTIVE:To identify characteristic genes related to lipid metabolism in chondrocytes of osteoarthritis through the weighted gene co-expression network analysis combined with machine learning algorithms and to conduct the preliminary experimental validation.METHODS:Based on the weighted gene co-expression network analysis and linear models for microarray data,differentially co-expressed genes were identified.Machine learning methods were used for screening characteristic genes related to lipid metabolism.Protein-protein interaction analysis was conducted to explore the interaction network and Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses were employed to investigate the signaling pathways involved in the differentially co-expressed genes.Subsequently,immune correlation analysis was utilized to identify the associations between the characteristic genes and immune infiltration patterns.Furthermore,in vitro molecular experiments were performed to validate the mRNA and protein levels of the characteristic genes.RESULTS AND CONCLUSION:(1)A total of 123 high-expression and 110 low-expression differentially co-expressed genes were identified after data normalization and application of principal component analysis,weighted gene co-expression network analysis,and linear models for microarray data.(2)Thirty-seven characteristic genes were screened using logistic regression,random forest,and support vector machine,among which SMPD3 and CYP4F3 were identified as two characteristic genes related to lipid metabolism.(3)Protein-protein interaction analysis revealed that SMPD3 and CYP4F3 proteins showed relatively low levels of interaction.(4)Gene Ontology analysis indicated that these genes were primarily enriched in multiple biological processes,including neutrophils and their immune responses,immune system processes,and neutrophil activation.Kyoto Encyclopedia of Genes and Genomes enrichment analysis suggested that they were mainly involved in key pathways such as extracellular matrix-receptor interaction and cell adhesion.(5)Cell type Identification by estimating relative subsets of RNA transcripts immune infiltration analysis showed significant differences in eight types of immune cells in osteoarthritis.Further correlation analysis revealed that SMPD3 was significantly positively correlated with resting dendritic cells(r=0.44,P=3.6×10-3)and significantly negatively correlated with neutrophils(r=-0.48,P=1.7×10-3),whereas CYP4F3 was significantly positively correlated with monocytes and neutrophils(r=0.76,P=7.6×10-9;r=0.73,P=6.0×10-8),and significantly negatively correlated with T follicular helper cells and resting dendritic cells(r=-0.38,P=0.01;r=-0.38,P=0.01).(6)In vitro molecular experiments demonstrated that SMPD3 mRNA and protein levels were significantly increased in the osteoarthritis group,while CYP4F3 mRNA and protein levels were decreased.To conclude,the lipid metabolism-related SMPD3 and CYP4F3 of osteoarthritis can serve as potential biomarkers for the targeted therapy of osteoarthritis and for assessing cartilage repair or degeneration,which provides a new strategy for exploring the relationship between dyslipidemia and osteoarthritis and for clinical targeted treatment in Chinese population.
4.Impact of optimized varicella vaccination strategy on varicella incidence among nursery children in Shenzhen
Chinese Journal of School Health 2026;47(5):728-731
Objective:
To analyze the epidemiological characteristics of varicella among nursery children in Shenzhen from 2015 to 2024, and to evaluate the impact of optimizing varicella vaccine (VarV) immunization strategies on varicella incidence.
Methods:
Varicella incidence data for nursery children in Shenzhen from 2015 to 2024 were obtained from the China Disease Prevention and Control Information System. The study period was divided into three phases:one dose self pay VarV (January 2015 to October 2017), two dose self pay VarV (November 2017 to October 2019), and two dose free VarV (November 2019 to December 2024). Interrupted time series (ITS) analysis was conducted to assess changes in the level and trend of varicella incidence associated with each phase of policy implementation.
Results:
A total of 27 517 varicella cases was reported among nursery children from 2015 to 2024, with an average annual incidence of 514.01/100 000. During the same period, 136 clustered outbreaks were reported in nursery institutions, involving a cumulative total of 1 091 cases. ITS analysis showed that during the self pay 1 dose stage, the varicella incidence among nursery children showed an upward trend, with an average monthly increase of 2.58/100 000 (95% CI =2.21/ 100 000 -2.95/100 000, P <0.01). After the implementation of the self pay 2 dose strategy, the incidence decreased, with a change in incidence of -26.12/100 000 (95% CI =-37.30/100 000 to -14.94/100 000) and a change in slope of -2.65/100 000 (95% CI = -3.38/100 000 to -1.93/100 000)(all P <0.01). After the implementation of the free 2 dose strategy, the incidence decreased further, with a change in incidence of -40.03/100 000 (95% CI =-50.39/100 000 to -29.66/100 000, P <0.01) and a change in slope of -0.56/100 000 (95% CI =-1.20/100 000-0.08/100 000, P =0.09).
Conclusion
The gradual optimization of the VarV vaccination strategy in Shenzhen from self pay 1 dose to free 2 dose has significantly reduced the varicella incidence among nursery children, demonstrating good short term control and long term intervention effectiveness.
5.Construction and application of the "Huaxi Hongyi" large medical model
Rui SHI ; Bing ZHENG ; Xun YAO ; Hao YANG ; Xuchen YANG ; Siyuan ZHANG ; Zhenwu WANG ; Dongfeng LIU ; Jing DONG ; Jiaxi XIE ; Hu MA ; Zhiyang HE ; Cheng JIANG ; Feng QIAO ; Fengming LUO ; Jin HUANG
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2025;32(05):587-593
Objective To construct large medical model named by "Huaxi HongYi"and explore its application effectiveness in assisting medical record generation. Methods By the way of a full-chain medical large model construction paradigm of "data annotation - model training - scenario incubation", through strategies such as multimodal data fusion, domain adaptation training, and localization of hardware adaptation, "Huaxi HongYi" with 72 billion parameters was constructed. Combined with technologies such as speech recognition, knowledge graphs, and reinforcement learning, an application system for assisting in the generation of medical records was developed. Results Taking the assisted generation of discharge records as an example, in the pilot department, after using the application system, the average completion times of writing a medical records shortened (21 min vs. 5 min) with efficiency increased by 3.2 time, the accuracy rate of the model output reached 92.4%. Conclusion It is feasible for medical institutions to build independently controllable medical large models and incubate various applications based on these models, providing a reference pathway for artificial intelligence development in similar institutions.
6.Epidemiological characteristics of dengue fever in Shenzhen City in 2024
Jia WAN ; Cong NIU ; Wei LIU ; Liangqiang LIN ; Fan YANG ; Ziquan LÜ ; Zhen ZHANG ; Tiejian FENG ; Jianhua LU ; Dongfeng KONG
Chinese Journal of Schistosomiasis Control 2025;37(5):517-523
Objective To investigate the epidemiological characteristics of dengue fever in Shenzhen City in 2024, so as to provide insights into formulation of the preventive and control measures for dengue fever. Methods The epidemiological data of dengue cases reported in Shenzhen City in 2024 were extracted from the China Disease Prevention and Control Information System and field epidemiological survey data of dengue fever in Shenzhen City, and the temporal, regional and population distributions of dengue fever cases, source of acquire dengue virus infections, disease diagnosis and treatment and outbreaks were analyzed. The dengue virus nucleic acid was tested and the serotypes of dengue virus were characterized using real-time quantitative reverse transcription PCR (RT-qPCR) assay, and the dengue virus gene was sequenced using next-generation sequencing (NGS). In addition, the surveillance on the density of Aedes albopictus was performed using Breteau index (BI) and mosquito oviposition index (MOI). Results A total of 1 735 dengue fever cases were reported in Shenzhen City in 2024, including 952 local cases and 783 imported cases. Most imported dengue fever cases acquired infections from eight cities of Foshan, Guangzhou, Zhongshan, Jiangmen, Dongguan, Zhaoqing, Huizhou, and Zhuhai in the Pearl River Delta region (664 cases, 84.8% of total imported cases) into Baoan, Longgang, and Nanshan districts. The epidemic exhibited an early onset and rapid progression, peaking during the period between September and November (1 632 cases, 94.1% of total cases), and dengue fever cases were distributed across 73 subdistricts in 10 districts, with most cases reported in densely populated central and western regions. The dengue fever cases had a male-to-female ratio of 1.9∶1.0, and a median age of 37 (21) years, with a higher median age among local cases than among imported cases [40 (20) years vs. 33(15) years; Z = -10.30, P < 0.05]. Housework, unemployment, workers, and business service were predominant occupations (1 405 cases, 81.0% of total cases), and there was a significant difference in the constituent ratio of occupations between local and imported cases (χ2 = 92.30, P < 0.05). Among the 1 735 dengue fever cases, the median duration from onset to definitive diagnosis was 3.3 (2.9) days, and 1 686 cases (97.2%) were identified in healthcare facilities, with a low rate of hospitalization and isolation seen in 1 701 inpatients with available epidemiological data (485 cases, 28.5% of total inpatients). A total of 29 outbreaks of dengue fever occurred in Shenzhen City across 2024, which primarily in construction sites (27 outbreaks, 93.1% of total). Dengue virus type I was the dominant serotype causing dengue fever in Shenzhen City in 2024. Sequencing showed that the genomes of dengue virus from multiple dengue fever cases in Shenzhen City shared a high sequence homology with those from cities neighboring Shenzhen City, and there might be intra-city transmission of dengue virus among multiple construction sites in Shenzhen City. The Aedes albopictus density was significantly higher in Shenzhen City in 2024 than in 2023, peaking from May to September. The annual MOI values ranged from 0.9 to 14.0, and the BI values ranged from 0.6 to 6.0. Conclusions The overall epidemic of dengue fever was severe in Shenzhen City in 2024, which was greatly affected by case importation from neighboring cities, construction sites-centered local transmission, and the effectives of routine mosquito vector control was not satisfactory. Integrated dengue fever control measures should be implemented, focusing on regional joint prevention and control mechanisms, capacity building for mosquito vector control, addressing challenges in epidemic containment at construction sites, and strengthening case detection and management systems.
7.Clinical retrospective analysis of 41 cases of chronic recurrent parotitis
ZHANG Wen ; ZHANG Zhiyong ; ZHANG Luxin ; WU Xiaolin ; LI Xiaomin ; JIA Bo ; BAO Lijie
Journal of Prevention and Treatment for Stomatological Diseases 2025;33(12):1053-1061
Objective:
To explore the clinical manifestations and treatment plans of chronic recurrent parotitis (CRP), and to provide a reference for the clinical diagnosis and treatment of CRP.
Methods:
Approval was obtained from the hospital’s Medical Ethics Committee, and a retrospective analysis and summary of the clinical features, imaging characteristics, diagnosis, and treatment of 41 CRP patients with complete data were performed.
Results:
Among the 41 patients with CRP, 14 were male and 27 were female, with a male-to-female ratio of approximately 1:2 (14/27). The age at first-time onset ranged from 3 to 23 years, with a median age of 6 years, and there were 38 patients (92.7%, 38/41) with the first onset age of under 18 years old. The age of the first visit to our hospital ranged from 4 to 72 years old, with an average age of (41.0 ± 17.3) years; the disease duration was 0.5 to 66 years, with an average of 35.0 ± 16.1 years. Twenty-five cases had bilateral parotid gland involvement (61.0%, 25/41). The clinical manifestations of CRP are repeated swelling of one or both parotid glands, along with discomfort, and this may be accompanied by mild edema or skin flushing and pus or jelly-like secretions at the duct openings. The typical manifestations of parotid angiography are: the dominant duct and branch ducts of the parotid gland do not have specific dilation or narrowing, and the peripheral ducts show characteristic “punctate, spherical, or cavitary” dilation and delayed emptying. Of the cases, 34 had abnormal enlargement of the main duct orifice (82.9%, 34/41), and 37 presented with abnormal anterior displacement of the accessory glands (90.2%, 37/41). The treatment plan of “antibiotic perfusion + aspiration and removal of obstruction (or aspiration after obstruction dissolution)+ postprandia massage along the direction of the parotid duct (from posterior to anterior) with multiple courses for consolidation”achieved favorable outcomes. The mean follow-up period of this group was(71.1+21.9)months, and no recurrence was observed during the follow-up period.
Conclusion
CRP is more prevalent in young females and frequently presents with bilateral involvement. Congenital anatomical defects, such as abnormal enlargement of the main duct orifice and abnormal anterior displacement of the accessory glands, are important predisposing factors. The multi-course comprehensive therapy centered on antibiotic infusion, removal and dissolution of obstructions, and post-prandial massage along the direction of the parotid duct has significant therapeutic effects and deserves clinical application.
8.Restoration of osteogenic differentiation of bone marrow mesenchymal stem cells in mice inhibited by cyclophosphamide with psoralen
Chenglong WANG ; Zhilie YANG ; Junli CHANG ; Yongjian ZHAO ; Dongfeng ZHAO ; Weiwei DAI ; Hongjin WU ; Jie ZHANG ; Libo WANG ; Ying XIE ; Dezhi TANG ; Yongjun WANG ; Yanping YANG
Chinese Journal of Tissue Engineering Research 2025;29(1):16-23
BACKGROUND:Psoralen has a strong anti-osteoporotic activity and may have a restorative effect on chemotherapy-induced osteoporosis. OBJECTIVE:To explore the restorative effect of psoralen on the osteogenic differentiation of bone marrow mesenchymal stem cells in mice inhibited by cyclophosphamide and its mechanism. METHODS:C57BL/6 mouse bone marrow mesenchymal stem cells were isolated and cultured.Effect of psoralen on viability of bone marrow mesenchymal stem cells was detected by MTT assay.Osteogenic induction combined with alkaline phosphatase staining was used to determine the optimal dose of psoralen to restore the osteogenic differentiation of bone marrow mesenchymal stem cells inhibited by cyclophosphamide.The mRNA expression levels of Runx2,alkaline phosphatase,Osteocalcin,osteoprotegerin,and Wnt/β-catenin signaling pathway-related genes Wnt1,Wnt4,Wnt10b,β-catenin,and c-MYC were measured by RT-qPCR at different time points under the intervention with psoralen.The protein expression of osteogenic specific transcription factor Runx2 and Wnt/β-catenin signaling pathway related genes Active β-catenin,DKK1,c-MYC,and Cyclin D1 was determined by western blot assay at different time points under the intervention with psoralen. RESULTS AND CONCLUSION:(1)There was no significant effect of different concentrations of psoralen on the viability of bone marrow mesenchymal stem cells.The best recovery of the inhibition of osteogenic differentiation of bone marrow mesenchymal stem cells caused by cyclophosphamide was under the intervention of psoralen at a concentration of 200 μmol/L.(2)Psoralen reversed the reduction in osteogenic differentiation marker genes Runx2,alkaline phosphatase,Osteocalcin and osteoprotegerin mRNA expression and Runx2 protein expression in bone marrow mesenchymal stem cells caused by cyclophosphamide conditioned medium.(3)Psoralen reversed the decrease in Wnt/β-catenin pathway-related genes Wnt4,β-catenin,c-MYC mRNA and Active β-catenin,c-MYC,and Cyclin D1 protein expression and the increase in DKK1 protein expression in bone marrow mesenchymal stem cells caused by cyclophosphamide conditioned medium.(4)The results showed that cyclophosphamide inhibited osteogenic differentiation of bone marrow mesenchymal stem cells in mice,and psoralen had a restorative effect on it.The best intervention effect was achieved at a concentration of 200 μmol/L psoralen,and this protective effect might be related to the activation of Wnt4/β-catenin signaling pathway by psoralen.
9.Remodeling characteristics of H3K27me3-marked silencers in gastric signet-ring cell carcinoma and its transcriptional regulatory function
Aibei DU ; Yuanfeng REN ; Zhaole CHU ; Biying LIU ; Xianfeng LI ; Junyu XIANG ; Dongfeng CHEN ; Tao WANG ; Bin WANG ; Haiying GUO ; Xuan ZHANG ; Yuhong LI
Journal of Army Medical University 2025;47(5):417-425
Objective To draw the genome-wide distribution and remodeling characteristics of H3K27me3 silencers in signet-ring cell carcinoma of the stomach(SRCC)through epigenetic sequencing technology,and to investigate their roles in transcriptional regulation in order to elucidate the regulatory mechanism of SRCC malignant progression.Methods The study was conducted on 35 gastric samples obtained by gastroendoscopic biopsy(15 normal and 20 SRCC tissues)from Department of Gastroenterology of Army Medical Center of PLA between January 2021 and December 2023.Multi-omics analyses,including assay for transposase-accessible chromatin with high-throughput sequencing(ATAC-seq),cleavage under targets and tagmentation(CUT&Tag)and transcriptome sequencing(RNA-seq),were performed to identify chromatin accessibility,H3K27me3 silencer regions,and transcriptional changes,with aid of Illumina NovaSeq 6000.H3K27me3 related differentially expressed genes(|Log2FC|>1,FDR<0.05)were screened using DESeq2.Gene Ontology(GO)analysis and Kyoto Encyclopedia of Genes and Genomes(KEGG)analysis were employed to analyze the enrichment function,and Homer was employed to identify transcription factor motifs.A regulatory network was constructed using Cytoscape,and then validated using immunohistochemistry to explore its regulatory mechanism.Results H3K27me3 silencers were primarily located in distal intergenic regions(37.06%)in SRCC.Compared with the normal tissues,SRCC showed a significant reduction in H3K27me3 silencer signals(95%CI:1.34~2.30,P=0.007)with 6 257 lost sites(FDR<0.01).Integrating CUT&Tag and RNA-seq revealed 380 up-regulated immune-related genes,particularly in T cell receptor signaling(OR=4.2,95%CI:2.8~6.3,P=0.002).Immunohistochemistry confirmed elevated expression of transcription factor EHF(P<0.05).Conclusion There is the remodeling of H3K27me3 silencers in SRCC,and EHF may potentially play a crucial role in the SRCC malignant progression.
10.Impact of six lipid parameters on cognitive impairment in the elderly Chinese population: a prospective cohort study
Yanzhi YAN ; Keyong HUANG ; Yanyan ZHANG ; Yijin PEI ; Fangchao LIU ; Shufeng CHEN ; Jianxin LI ; Jie CAO ; Chong SHEN ; Jianfeng HUANG ; Dongsheng HU ; Dongfeng GU ; Xiangfeng LU
Chinese Journal of Preventive Medicine 2025;59(7):1069-1077
Objective:To investigate the relationship between lipid levels and cognitive impairment in the elderly Chinese population using prospective cohort data.Methods:Based on the China-PAR (Prediction for Atherosclerotic Cardiovascular Disease Risk in China) cohort, this study included 24 380 individuals aged ≥60 years who participated in the cognitive function follow-up survey from 2018 to 2019. Cognitive function was assessed using the Mini-Mental State Examination (MMSE), with cognitive impairment defined according to different educational levels: MMSE ≤17 for illiterate individuals, MMSE ≤20 for those with primary education and MMSE ≤24 for those with secondary education or above. Multivariable linear regression and logistic regression models were employed to examine the associations between six baseline lipid indicators and cognitive scores, as well as cognitive impairment. Additionally, restricted cubic splines were used to explore the exposure-dose relationship between lipid levels and cognitive function.Results:The study population had a median follow-up time of 11.6 years, with a baseline age of (59.7±6.8) years. Among the participants, 9 510 (39.0%) were males, and the mean MMSE score was 24.7±6.8. A total of 3 887 individuals (15.9%) were identified as cognitively impaired. The results of multivariable linear regression and logistic regression indicated that total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C) and non-high-density lipoprotein cholesterol (non-HDL-C) levels were not only significantly positively associated with cognitive scores but also significantly associated with a lower risk of cognitive impairment. Each 1 mmol/L increase in these lipid levels corresponded to β values (95% CI) of 0.267 (0.173-0.361), 0.385(0.271-0.499) and 0.331(0.231-0.431), respectively. Each 1 mmol/L increase in these lipid levels corresponded to odds ratio ( OR) (95% CI) values of 0.915 (0.876-0.956), 0.875 (0.830-0.923) and 0.886 (0.848-0.927), respectively. The dose-response curve demonstrated that the negative association was primarily observed within the guideline-recommended optimal lipid level range. Specifically, when LDL-C was less than 3.4 mmol/L and non-HDL-C was less than 4.1 mmol/L, the corresponding OR (95% CI) values were 0.859 (0.796-0.926) and 0.876 (0.818-0.939). Conclusion:Lipid levels exhibit a certain linear negative association with cognitive impairment in elderly Chinese adults, with LDL-C and non-HDL-C demonstrating a stronger effect, particularly within the guideline-recommended optimal range.


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