1.Association between atherogenic index of plasma trajectory and new-onset coronary heart disease in Chinese elderly people: a prospective cohort study.
Wan-Li HU ; Yv-Lin CHENG ; Dong-Hai SU ; Yv-Fang CUI ; Zi-Hao LI ; Ge-Fei LI ; Hai-Yun GAO ; Da-Tian GAO ; Xiao-Ke ZHANG ; Song-He SHI
Journal of Geriatric Cardiology 2025;22(10):835-843
BACKGROUND:
The atherogenic index of plasma (AIP) has been shown to be positively correlated with cardiovascular disease in previous studies. However, it is unclear whether elderly people with long-term high AIP levels are more likely to develop coronary heart disease (CHD). Therefore, the aim of this study was to investigate the relationship between AIP trajectory and CHD incidence in elderly people.
METHODS:
19,194 participants aged ≥ 60 years who had three AIP measurements between 2018 and 2020 were included in this study. AIP was defined as log10 (triglyceride/high-density lipoprotein cholesterol). The group-based trajectory model was used to identify different trajectory patterns of AIP from 2018 to 2020. Cox proportional hazards models were used to estimate the hazard ratio (HR) with 95% CI of CHD events between different trajectory groups from 2020 to 2023.
RESULTS:
Three different trajectory patterns were identified through group-based trajectory model: the low-level group (n = 7410, mean AIP: -0.25 to -0.17), the medium-level group (n = 9981, mean AIP: 0.02-0.08), and the high-level group (n = 1803, mean AIP: 0.38-0.42). During a mean follow-up of 2.65 years, a total of 1391 participants developed CHD. After adjusting for potential confounders, compared with the participants in the low-level group, the HR with 95% CI of the medium-level group and the high-level group were estimated to be 1.24 (1.10-1.40) and 1.43 (1.19-1.73), respectively. These findings remained consistent in subgroup analyses and sensitivity analyses.
CONCLUSIONS
There was a significant correlation between persistent high AIP level and increased CHD risk in the elderly. This suggests that monitoring the long-term changes in AIP is helpful to identify individuals at high CHD risk in elderly people.
2.Lumbar Spondylolysis in Chinese Adults: Prevalence and Musculoskeletal Conditions.
Dong YAN ; Yan Dong LIU ; Ling WANG ; Kai LI ; Wen Shuang ZHANG ; Yi YUAN ; Jian GENG ; Kang Kang MA ; Feng Yun ZHOU ; Zi Tong CHENG ; Xiao Guang CHENG
Biomedical and Environmental Sciences 2025;38(5):598-606
OBJECTIVE:
To determine the prevalence of lumbar spondylolysis (LS) and the proportion of spondylolytic spondylolisthesis (SS) in China, and to evaluate the musculoskeletal status of patients with LS and SS.
METHODS:
Spine Computed Tomography (CT) images were collected from community populations aged 40 and above in a nationwide multi-center project. LS was diagnosed, and SS was graded by an experienced radiologist. Bone mineral density (BMD) and paraspinal muscle parameters were quantified based on CT images.
RESULTS:
One hundred and seventeen patients of a total of 3,317 individuals were diagnosed with LS, corresponding to a prevalence rate of 3.53%. 63 of the 1,214 males (5.18%) and 54 of the 2,103 females (2.57%) were diagnosed with LS. SS occurred in 64/121 vertebrae (52.89%). BMD was not associated with LS ( P = 0.341). The L5 extensor paraspinal muscle density was higher in the LS group than in the non-LS group. In the LS group, patients with SS had a smaller L5 paraspinal extensor muscle cross-sectional area than those without SS ( P = 0.003).
CONCLUSION
The prevalence of LS in Chinese adults was 3.53%, with prevalence rates of 5.18% in males and 2.57% in females. Patients with LS have higher muscle density, whereas those with SS have smaller muscle cross-sectional areas at the L5 level.
Humans
;
Male
;
Female
;
Middle Aged
;
China/epidemiology*
;
Prevalence
;
Adult
;
Lumbar Vertebrae/diagnostic imaging*
;
Spondylolysis/diagnostic imaging*
;
Aged
;
Bone Density
;
Tomography, X-Ray Computed
;
Aged, 80 and over
;
Spondylolisthesis/epidemiology*
;
East Asian People
3.Mechanisms and intervention strategies of aging based on epigenetics
Li-yuan ZHANG ; Hao-nan SHI ; Wen-feng ZHANG ; Ming-qian ZHANG ; Zi-yang ZHAO ; Zhen-zhen CHENG ; Ti ZHANG ; Zhen-teng YAN ; Jian-ning SUN ; Shi-fen DONG
Chinese Pharmacological Bulletin 2025;41(12):2230-2235
Aging is comprehensively influenced by multiple fac-tors such as internal genes,cellular metabolism,external envi-ronment,and lifestyle habits.Among them,epigenetic regula-tion plays a core role.Epigenetic modifications,including DNA methylation,histone modification,heterochromatin remodeling,and non-coding RNA regulation,act in concert with the three-di-mensional genome architecture to precisely regulate gene expres-sion.This review elaborates on the factors influencing epigenetic regulation,as well as the mechanisms of how epigenetics affects the occurrence of organismal aging and the corresponding inter-vention strategies,providing relevant insights for uncovering the mechanisms of aging and preventing/treating aging-related disea-ses.
4.Optimization of targeting B cell differentiation-antibody secretion model in vitro and its application in high-throughput screening of immunomodulatory traditional Chinese medicine
Ran SHI ; Xiao-yun LIU ; Dong-xue YE ; Wan-hui ZHOU ; Shi-juan CHENG ; Jia YANG ; Zi-ru LIU ; Rong RONG ; Yong YANG
Chinese Pharmacological Bulletin 2025;41(11):2065-2074
Aim To perform high-throughput screen-ing of immunomodulatory traditional Chinese medicine(TCMs)based on an in vitro B cell differentiation-antibody secretion model,identifying active herbal candidates with immune-enhancing properties to pro-vide novel therapeutic options and theoretical support for influenza virus treatment in immunocompromised in-dividuals.Methods B cells were stimulated with dif-ferent concentrations of cytosine-phosphate-guanine oli-godeoxynucleotide 2006(CpG)and nterleukin-2(IL-2)to promote proliferation,differentiation,and anti-body secretion,and the effects of varying concentra-tions of the solvent DMSO were also evaluated.The op-timal conditions for the B cell differentiation-anti-body secretion model were determined based on the se-cretion levels of three antibody isotypes.The feasibility of the model was further validated using rapamycin,a known B cell function inhibitor.On this basis,a high-throughput screening platform for immunomodulatory a-gents was optimized and established.Subsequently,the immune-enhancing activity of 465 polarity extract from TCMs was evaluated.Results The optimal con-ditions for the model were determined as 2 mg·L-1 CpG,1.67 × 106 nkat·L-1 IL-2,and DMSO with a volume fraction of 0.1%.Rapamycin effectively inhib-ited B cell differentiation into plasmablast and signifi-cantly reduced antibody production,indicating the reli-ability of the model.Multiple rounds of screening re-vealed that the dichloromethane extract of licorice,the dichloromethane extract of Vinegar-processed Curcumae Rhizoma,the cyclohexane extract of Honey-prepared Radix Asteris,and the aqueous extract of Siphonostegia chinensis Benth were identified to significantly promote both B cell proliferation and differentiation and anti-body secretion at a concentration of 600 μg·L-1.Conclusion This study successfully optimizes an in vitro B cell differentiation-antibody secretion model and identifies several TCM extracts,including licorice,with potential immune-enhancing activity.
5.Optimization of targeting B cell differentiation-antibody secretion model in vitro and its application in high-throughput screening of immunomodulatory traditional Chinese medicine
Ran SHI ; Xiao-yun LIU ; Dong-xue YE ; Wan-hui ZHOU ; Shi-juan CHENG ; Jia YANG ; Zi-ru LIU ; Rong RONG ; Yong YANG
Chinese Pharmacological Bulletin 2025;41(11):2065-2074
Aim To perform high-throughput screen-ing of immunomodulatory traditional Chinese medicine(TCMs)based on an in vitro B cell differentiation-antibody secretion model,identifying active herbal candidates with immune-enhancing properties to pro-vide novel therapeutic options and theoretical support for influenza virus treatment in immunocompromised in-dividuals.Methods B cells were stimulated with dif-ferent concentrations of cytosine-phosphate-guanine oli-godeoxynucleotide 2006(CpG)and nterleukin-2(IL-2)to promote proliferation,differentiation,and anti-body secretion,and the effects of varying concentra-tions of the solvent DMSO were also evaluated.The op-timal conditions for the B cell differentiation-anti-body secretion model were determined based on the se-cretion levels of three antibody isotypes.The feasibility of the model was further validated using rapamycin,a known B cell function inhibitor.On this basis,a high-throughput screening platform for immunomodulatory a-gents was optimized and established.Subsequently,the immune-enhancing activity of 465 polarity extract from TCMs was evaluated.Results The optimal con-ditions for the model were determined as 2 mg·L-1 CpG,1.67 × 106 nkat·L-1 IL-2,and DMSO with a volume fraction of 0.1%.Rapamycin effectively inhib-ited B cell differentiation into plasmablast and signifi-cantly reduced antibody production,indicating the reli-ability of the model.Multiple rounds of screening re-vealed that the dichloromethane extract of licorice,the dichloromethane extract of Vinegar-processed Curcumae Rhizoma,the cyclohexane extract of Honey-prepared Radix Asteris,and the aqueous extract of Siphonostegia chinensis Benth were identified to significantly promote both B cell proliferation and differentiation and anti-body secretion at a concentration of 600 μg·L-1.Conclusion This study successfully optimizes an in vitro B cell differentiation-antibody secretion model and identifies several TCM extracts,including licorice,with potential immune-enhancing activity.
6.Mechanisms and intervention strategies of aging based on epigenetics
Li-yuan ZHANG ; Hao-nan SHI ; Wen-feng ZHANG ; Ming-qian ZHANG ; Zi-yang ZHAO ; Zhen-zhen CHENG ; Ti ZHANG ; Zhen-teng YAN ; Jian-ning SUN ; Shi-fen DONG
Chinese Pharmacological Bulletin 2025;41(12):2230-2235
Aging is comprehensively influenced by multiple fac-tors such as internal genes,cellular metabolism,external envi-ronment,and lifestyle habits.Among them,epigenetic regula-tion plays a core role.Epigenetic modifications,including DNA methylation,histone modification,heterochromatin remodeling,and non-coding RNA regulation,act in concert with the three-di-mensional genome architecture to precisely regulate gene expres-sion.This review elaborates on the factors influencing epigenetic regulation,as well as the mechanisms of how epigenetics affects the occurrence of organismal aging and the corresponding inter-vention strategies,providing relevant insights for uncovering the mechanisms of aging and preventing/treating aging-related disea-ses.
7.Tonifying kidney and activating blood therapy for the treatment of diabetic erectile dysfunction:A systematic review and meta-analysis
Mao-ke CHEN ; Ke-cheng LI ; Jun-long FENG ; Xiang-fa LIN ; Wen-xuan DONG ; Zi-xiang GAO ; Hua-nan ZHANG ; Hui CHEN ; Ji-sheng WANG ; Bin WANG
National Journal of Andrology 2025;31(9):832-840
Objective:To systematically evaluate the clinical efficacy and safety of Tonifying kidney and activating blood thera-py for the treatment of diabetic mellitus erectile dysfunction.Methods:China National Knowledge Infrastructure(CNKI),Wanfang Data,VIP,Chinese Biomedical Database(CBM),PubMed,Cochrane Library,Embase and Web of Science were searched from incep-tion until October 20th of 2024,for randomized controlled trials of Tonifying kidney and activating blood therapy for the treatment of dia-betic erectile dysfunction.Literature screening,quality evaluation,and data extraction were carried out in accordance with relevant standards.The software of RevMan5.4 was used for the analysis of publication bias.And meta-analysis was conducted to assess the im-pact of this therapy on IIEF-5,total effective rate,adverse reactions.The evidence levels according to the analysis results were evalua-ted.Results:Totally 19 RCTs were included,involving 1 612 patients.The result of meta-analysis indicated that Tonifying kidney and activating blood therapy had advantages on the improvement of IIEF-5 scores(MD=3.59,95%CI[2.14,5.03],P<0.01),total effective rate(OR=4.30,95%CI[3.29,5.32],P<0.000 01).However,there was no statistically significant difference in the inci-dence of adverse reactions(OR=0.98,95%CI[0.48,2.01],P=0.96)between the two groups.Conclusions:Tonifying kidney and activating blood therapy can improve the clinical efficacy and IIEF-5 score for the patients with diabetic erectile dysfunction.But considering the limited quantity of included studies,more high-quality studies still be needed to validate the therapeutic effect.
8.Rapid non-destructive detection technology for traditional Chinese medicine preparations based on machine learning: a review.
Xin-Hao WAN ; Qing TAO ; Zi-Qian WANG ; Dong-Yin YANG ; Zhi-Jian ZHONG ; Xiao-Rong LUO ; Ming YANG ; Xue-Cheng WANG ; Zhen-Feng WU
China Journal of Chinese Materia Medica 2024;49(24):6541-6548
In recent years, with the increasing societal focus on drug quality and safety, quality issues have become a major challenge faced by the pharmaceutical industry, directly impacting consumer health and market trust. By combining multispectral imaging technology with machine learning, it is possible to achieve rapid, non-destructive, and precise detection of traditional Chinese medicine(TCM) preparations, thereby revolutionizing traditional detection methods and developing more convenient and automated solutions. This paper provides a comprehensive review of the current applications of rapid, non-destructive detection techniques based on machine learning algorithms in the field of TCM preparations. It analyzed the principles and advantages of commonly used rapid, non-destructive detection techniques, offering a reference for the application and promotion of these technologies in TCM preparation detection. Additionally, this paper explored various data preprocessing techniques, operational processes, and machine learning algorithms to enhance data utilization efficiency. Finally, it focused on the challenges of applying machine learning in TCM preparation detection and offered corresponding recommendations, providing guidance for the future integration of machine learning with rapid, non-destructive detection techniques in practical production.
Machine Learning
;
Drugs, Chinese Herbal/analysis*
;
Medicine, Chinese Traditional/methods*
;
Humans
;
Quality Control
9.Clinical Observation on Acupuncture in Treating Patients with Sleep Disorders in Ankylosing Spondylitis
Yu-Xuan LUO ; Dong-Jun ZHONG ; Yun-Cheng HUANG ; Zi-Ping LI
Journal of Guangzhou University of Traditional Chinese Medicine 2024;41(12):3210-3215
Objective To observe the clinical efficacy of acupuncture in the treating patients with sleep disorder in ankylosing spondylitis.Methods A total of 60 patients with sleep disorder in ankylosing spondylitis were randomly divided into observation group and control group,30 cases in each group.The control group was given oral administration of Liuzosulfapyridine Enteric-coated Tablets and Celecoxib Capsules,and the observation group was given acupuncture for treatment on the basis of the control group for four consecutive weeks.After one month of treatment,the clinical efficacy of the two groups was evaluated,and the changes in the Pittsburgh Sleep Quality Index(PSQI)and Hospital Anxiety and Depression Scale(HADS)scores,as well as the Bath Ankylosing Spondylitis Disease Activity Index(BASDAI)and Bath Ankylosing Spondylitis Functional Index(BASFI)were observed in the patients of the two groups before and after treatment.The changes in C-reactive protein(CRP)levels between the two groups of patients before and after treatment were compared.And the safety and the occurrence of adverse reactions in the two groups were evaluated.Results(1)After treatment,the PSQI and BASDAI scores of patients in the two groups were improved significantly(P<0.05),and the improvement in the observation group was significantly superior to that in the control group,and the difference was statistically significant(P<0.05).(2)After treatment,the HADS(A)and HADS(D)scores of patients in the two groups were improved significantly(P<0.05),and the improvement in the observation group was slightly superior to that in the control group,but the difference was not statistically significant(P>0.05).(3)After treatment,the BASFI scores of patients in the two groups were slightly improved,but the difference was not statistically significant(P>0.05).(4)After treatment,the CRP levels of patients in the two groups were improved significantly(P<0.05),and the improvement in the observation group was significantly superior to that in the control group,and the difference was statistically significant(P<0.05).(5)The total effective rate was 83.33%(25/30)in the observation group and 60.00%(18/30)in the control group.The efficacy of the observation group was superior to that of the control group,and the difference was statistically significant(P<0.05).(6)Comparison of the incidence of adverse reactions between the observation group and the control group,the difference was not statistically significant(P>0.05).Conclusion Acupuncture in treating sleep disorders in ankylosing spondylitis can effectively improve patients'sleep quality,disease activity and inflammation indexes,and improve patients'clinical symptoms,and it is safe and feasible,without obvious adverse reactions,and the efficacy is remarkable.
10.IMAGE RECOGNITION OF MIDGE WING BASED ON ARTIFICIAL INTELLIGENCE
Ying SU ; Qiao KE ; Ting-Ting LI ; De-Xing LIU ; Guo-Sheng LIAN ; Zi-Dong CHENG
Acta Parasitologica et Medica Entomologica Sinica 2024;31(4):224-229
Objective The aim of the study is to establish an automatic method for the recognition of common midges based on artificial intelligence technology.Methods Wing images of three species of midges from Zhuhai port,including Culicoides oxystoma,C.peregrinus,and Lasiohelea taiwanai were subjected to develop a reliable automatic recognition method based on a deep learning method.The VGG convolutional neural network model based on the PaddlePaddle framework and the BP neural network model based on Matlab software with manual design features were involved for image recognition.Results Automatic recognition based on VGG model and BP model were established with the prediction accuracy of the test set in the VGG model and BP model was 100.0%and 94.7%,respectively,with no significant difference(P>0.05).Conclusions The artificial intelligence technology can achieve reliable species recognition based on image recognition of midge wings.

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