1.Diet and lifestyle factors influencing comorbidity of cardiovascular disease in elderly diabetic patients in community
Yawen HE ; Tongneng XUE ; Yu CHEN
Journal of Public Health and Preventive Medicine 2025;36(4):137-140
Objective To investigate the effect of diet and lifestyle on cardiovascular comorbidity in elderly diabetic patients in community. Methods A total of 437 elderly patients with diabetes mellitus in a community of Huai'an City were divided into comorbidity group and non-comorbidity group according to the presence or absence of cardiovascular comorbidity. Dietary and lifestyle data were collected by self-designed questionnaires. The differences between the two groups were compared. Multivariate logistic regression was used to analyze the influencing factors of comorbidity of diabetes mellitus with cardiovascular disease. Results Among the surveyed patients, 184 (42.11%) had at least one comorbidity of cardiovascular disease, with the most common diseases being hypertension in 93 patients (21.28%), coronary heart disease in 71 patients (16.25%), and stroke in 42 patients (9.61%). Multivariate logistic regression analysis showed that: the risk of comorbidity in the male group was 1.528 times higher than that in the female group; the risk of comorbidity among individuals with inadequate carbohydrate intake was 1.520 times higher than that of individuals with adequate carbohydrate intake; the risk of comorbidity in the group with smoking history > 30 years was 1.299 times higher than that in the group ≤ 30 years; the risk of comorbidity was 49.80% lower in the group with tea preference than that in the group without tea preference; and the risk of comorbidity in the group not meeting the standard for exercise was 1.492 times higher than that in the group meeting the standard for exercise. All these differences were statistically significant (P<0.05). Conclusion The comorbidity of cardiovascular disease in elderly diabetic patients in community should not be ignored, and targeted dietary and lifestyle interventions are helpful for the prevention and control of comorbidity.
2.Discussion of the methodology and implementation steps for assessing the causality of adverse event
Hong FANG ; Shuo-Peng JIA ; Hai-Xue WANG ; Xiao-Jing PEI ; Min LIU ; An-Qi YU ; Ling-Yun ZHOU ; Fang-Fang SHI ; Shu-Jie LU ; Shu-Hang WANG ; Yue YU ; Dan-Dan CUI ; Yu TANG ; Ning LI ; Ze-Huai WEN
The Chinese Journal of Clinical Pharmacology 2024;40(2):299-304
The assessment of adverse drug events is an important basis for clinical safety evaluation and post-marketing risk control of drugs,and its causality assessment is gaining increasing attention.The existing methods for assessing the causal relationship between drugs and the occurrence of adverse reactions can be broadly classified into three categories:global introspective methods,standardized methods,and probabilistic methods.At present,there is no systematic introduction of the operational details of the various methods in the domestic literature.This paper compares representative causality assessment methods in terms of definition and concept,methodological steps,industry evaluation and advantages and disadvantages,clarifies the basic process of determining the causality of adverse drug reactions,and discusses how to further improve the adverse drug reaction monitoring and evaluation system,with a view to providing a reference for drug development and pharmacovigilance work in China.
3.Clinical study on efficacy of different androgen deprivation regimens in the treatment of advanced prostate cancer
Huai-Jing LUO ; Ting-Ting ZHANG ; Xing-Mo DONG ; Chao-Lu LIN ; Feng YU
The Chinese Journal of Clinical Pharmacology 2024;40(4):519-523
Objective To compare the application effect of intermittent androgen deprivation(IAD)and continued androgen deprivation(CAD)on advanced prostate cancer and influence on prognosis.Methods The patients with advanced prostate cancer were divided into treatment group(86 cases)and control group(62 cases)according to the cohort method.The treatment group was given IAD regimen(subcutaneous injection of 3.6 mg goserelin once every 28 days)combined with oral administration of flutamide(250 mg every 3 times a day)or combined with oral administration of bicalutamide(50 mg once a day),and the control group was treated with CAD regimen(bilateral orchiectomy combined with continuous flutamide or bicalutamide orally,with the same dosage as the treatment group).The observation follow-up time of both groups was ≥9 months.Efficacy,serum total testosterone(TT),prostate specific antigen(PSA)and vascular endothelial growth factor(VEGF)were compared between the two groups after treatment,and the side effects of treatment,quality of life[Functional Assessment of Cancer Therapy-Prostate(FACT-P)]and disease progression were evaluated.Results At 9 months after treatment,the objective response rates(ORR)in treatment group and control group were 30.99%(22 cases/71 cases)and 29.09%(16 cases/55 cases),and the disease control rates(DCR)were 71.83%(51 cases/71 cases)and 69.09%(38 cases/55 cases)respectively(P>0.05).Serum TT levels in treatment group and control group were(25.53±9.44)and(22.51±8.28)ng·dL-1,PSA levels were(4.48±1.02)and(4.32±0.95)ng·mL-1,and VEGF levels were(121.03±35.26)and(118.65±33.42)pg·mL-1 respectively(all P>0.05).The incidence rates of hot flash in treatment group and control group were 21.13%and 56.36%,the incidence rates of breast swelling pain were 16.90%and 34.55%,and the incidence rates of osteoporosis were 8.45%and 25.45%respectively(all P<0.05).The scores of physical condition of FACT-P in treatment group and control group were(24.15±4.22)and(20.28±3.71)points,the scores of life condition were(20.28±2.94)and(17.81±2.84)points,scores of prostate cancer specific(PCS)module were(33.21±6.32)and(28.42±5.43)points,respectively,the difference were all statistically significant(all P<0.05).The cumulative progression-free survival rates in treatment group and control group were 61.97%and 58.18%(P>0.05).Conclusion IAD is as effective as CAD in the treatment of advanced prostate cancer and has a similar effect on the prognosis of patients,but the former one has fewer side effects of treatment and helps to improve the quality of life of patients.
4.Research of rutin on improving pyroptosis of nucleus pulposus cells in rats with intervertebral disc degeneration
Ping WANG ; Ming-Yu FAN ; Shao-Huai ZHOU ; Shi-Wei YU ; Xin WANG
The Chinese Journal of Clinical Pharmacology 2024;40(7):1029-1033
Objective To investigate the effect of rutin on pyroptosis of nucleus pulposus cells in rats with intervertebral disc degeneration and its mechanism at cellular level.Methods Rat interdisc nucleus pulposus cells were randomly divided into control group,model group[interleukin-1β(IL-1β)induction],experiment-L group(25 μmol·L-1 rutin+10 ng·mL-1 IL-1β),experiment-M group(50 μmol·L-1 rutin+10ng·mL-1IL-1β),experiment-H group(100 μmol·L-1 rutin+10 ng·mL-1 IL-1 β),experiment-H+SRT1720 agonist group[100 μmol·L-1 rutin+10 ng·mL-1 IL-1 β+1 μmol·L-1 silent information regulator 1(SIRT1)agonist SRT1720].Real-time quantitative polymerase chain reaction(RT-qPCR)assay and Western blot assay were used to detect the expression of related genes and proteins;cell count kit-8(CCK-8)assay and enzyme-linked immunosorbent assay were used to detect the expression of cell viability and inflammatory factors,respectively.Results The cell activities of control group,model group,experimental-H group and experimental-H+SIRT1 agonist group were(100.00±3.56)%,(47.30±2.58)%,(57.33±3.41)%,(66.15±4.85)%,(76.78±2.83)%and(85.84±4.84)%;SIRT1 mRNA expression levels were 1.00±0.12,0.25±0.02,0.39±0.04,0.52±0.03,0.67±0.08 and 0.83±0.09;tumor necrosis factor-α(TNF-α)expression level were(15.03±1.21),(126.50±8.84),(112.60±12.29),(83.71±6.85),(53.88±3.43)and(28.19±4.02)pg·mL-1;the relative expression levels of PTEN-induced putative kinase 1(PINK1)protein were 0.30±0.03,0.26±0.04,0.39±0.04,0.65±0.06,0.89±0.12 and 1.28±0.08;the relative expression levels of gasdermin D-N(GSDMD-N)were 0.38±0.02,1.20±0.08,0.89±0.06,0.69±0.07,0.53±0.05 and 0.40±0.03,respectively.Compared with the model group,the above indexes in the experimental-H group were statistically different(all P<0.05).There were statistically significant differences in the above indexes between the experimental-H+SIRT1 agonist group and the experimental-H group(all P<0.05).Conclusion Rutin can induce mitochondrial autophagy by activating SIRT1,inhibit pyroptosis of nucleus pulposus cells and alleviate intervertebral disc degeneration in rats.
5.Research status of research on the role of thioredoxin 1 in cerebral ischemia
Huai-Yu LIU ; Ke WANG ; Wen-Jing YAN ; Yue WANG ; Wen-Xin ZHANG ; Zhi HE
The Chinese Journal of Clinical Pharmacology 2024;40(10):1525-1529
Thioredoxin-1(Trx-1)is a petite redox protein primarily encountered in mammalian cells.It responds to alterations in the redox environment by facilitating electron transfer and regulating associated proteins.This paper provides a concise overview of Trx-1,focusing on its altered expression patterns during cerebral ischemia.The emphasis is on its neuroprotective attributes following cerebral ischemia,encompassing anti-oxidation,anti-inflammation,anti-apoptosis,promotion of cell growth,angiogenesis,and its involvement in cerebral ischemia-related pathologies.
6.Research on the regulation of ferroptosis in hepatic stellate cells line LX2 by recombinant cytoglobin
Xun-wei DUAN ; Gui-qing XIAO ; Huai-yu CHEN ; Yong ZHANG ; Wen-lin WU ; Yi GAO ; Yong DIAO
Acta Pharmaceutica Sinica 2024;59(8):2237-2244
Intracellular overexpression of cytoglobin (Cygb) has been shown to reduce extracellular matrix deposition and promote liver fibrosis recovery, but its mechanism is not yet clear. This study constructed and expressed a fusion protein (TAT-Cygb) of cell penetrating peptide TAT and Cygb, to investigate the effect of fusion protein TAT-Cygb on regulating hepatic stellate cells (HSCs) ferroptosis. Cultured human hepatic stellate cells line (LX2) were treated with TAT-Cygb and erastin
7.Role and significance of deep learning in intelligent segmentation and measurement analysis of knee osteoarthritis MRI images
Guangwen YU ; Junjie XIE ; Jiajian LIANG ; Wengang LIU ; Huai WU ; Hui LI ; Kunhao HONG ; Anan LI ; Haopeng GUO
Chinese Journal of Tissue Engineering Research 2024;33(33):5382-5387
BACKGROUND:MRI is important for the diagnosis of early knee osteoarthritis.MRI image recognition and intelligent segmentation of knee osteoarthritis using deep learning method is a hot topic in image diagnosis of artificial intelligence. OBJECTIVE:Through deep learning of MRI images of knee osteoarthritis,the segmentation of femur,tibia,patella,cartilage,meniscus,ligaments,muscles and effusion of knee can be automatically divided,and then volume of knee fluid and muscle content were measured. METHODS:100 normal knee joints and 100 knee osteoarthritis patients were selected and randomly divided into training dataset(n=160),validation dataset(n=20),and test dataset(n=20)according to the ratio of 8:1:1.The Coarse-to-Fine sequential training method was used to train the 3D-UNET network deep learning model.A Coarse MRI segmentation model of the knee sagittal plane was trained first,and the rough segmentation results were used as a mask,and then the fine segmentation model was trained.The T1WI and T2WI images of the sagittal surface of the knee joint and the marking files of each structure were input,and DeepLab v3 was used to segment bone,cartilage,ligament,meniscus,muscle,and effusion of knee,and 3D reconstruction was finally displayed and automatic measurement results(muscle content and volume of knee fluid)were displayed to complete the deep learning application program.The MRI data of 26 normal subjects and 38 patients with knee osteoarthritis were screened for validation. RESULTS AND CONCLUSION:(1)The 26 normal subjects were selected,including 13 females and 13 males,with a mean age of(34.88±11.75)years old.The mean muscle content of the knee joint was(1 051 322.94±2 007 249.00)mL,the mean median was 631 165.21 mL,and the mean volume of effusion was(291.85±559.59)mL.The mean median was 0 mL.(2)There were 38 patients with knee osteoarthritis,including 30 females and 8 males.The mean age was(68.53±9.87)years old.The mean muscle content was(782 409.18±331 392.56)mL,the mean median was 689 105.66 mL,and the mean volume of effusion was(1 625.23±5 014.03)mL.The mean median was 178.72 mL.(3)There was no significant difference in muscle content between normal people and knee osteoarthritis patients.The volume of effusion in patients with knee osteoarthritis was higher than that in normal subjects,and the difference was significant(P<0.05).(4)It is indicated that the intelligent segmentation of MRI images by deep learning can discard the defects of manual segmentation in the past.The more accuracy evaluation of knee osteoarthritis was necessary,and the image segmentation was processed more precisely in the future to improve the accuracy of the results.
9.Research Progress and Application of Interfacing of Supercritical Fluid Chromatography and Mass Spectrometry
Xue-Ge YANG ; Huai-Yi CHEN ; Xing-Yu PAN ; Jin-Lei YANG ; Fei TANG ; Si-Chun ZHANG
Chinese Journal of Analytical Chemistry 2024;52(10):1465-1474
In the past few decades,supercritical fluid chromatography(SFC)as a supplement to liquid chromatography(LC)separation technology has attracted people's interest,especially in the combination of SFC and mass spectrometry(MS),which has shown important application prospects in metabolomics,lipidomics,and other fields.Compared to the interface of LC-MS,the interface of SFC-MS presents some unique challenges that require special solutions to be designed.This article categorizes and summarizes the existing interfaces used for SFC-MS,focuses on the impact of different interface designs on detection performance,provides the applicable characteristics of different types of interfaces,and finally briefly introduces the application progress of SFC-MS in different fields.
10.Bibliometric Analysis of Forensic Human Remains Identification Literature from 1991 to 2022
Ji-Wei MA ; Ping HUANG ; Ji ZHANG ; Hai-Xing YU ; Yong-Jie CAO ; Xiao-Tong YANG ; Jian XIONG ; Huai-Han ZHANG ; Yong CANG ; Ge-Fei SHI ; Li-Qin CHEN
Journal of Forensic Medicine 2024;40(3):245-253
Objective To describe the current state of research and future research hotspots through a metrological analysis of the literature in the field of forensic anthropological remains identification re-search.Methods The data retrieved and extracted from the Web of Science Core Collection (WoSCC),the core database of the Web of Science information service platform (hereinafter referred to as "WoS"),was used to analyze the trends and topic changes in research on forensic identification of human re-mains from 1991 to 2022.Network visualisation of publication trends,countries (regions),institutions,authors and topics related to the identification of remains in forensic anthropology was analysed using python 3.9.2 and Gephi 0.10.Results A total of 873 papers written in English in the field of forensic anthropological remains identification research were obtained.The journal with the largest number of publications was Forensic Science International (164 articles).The country (region) with the largest number of published papers was China (90 articles).Katholieke Univ Leuven (Netherlands,21 articles) was the institution with the largest number of publications.Topic analysis revealed that the focus of forensic anthropological remains identification research was sex estimation and age estimation,and the most commonly studied remains were teeth.Conclusion The volume of publications in the field of forensic anthropological remains identification research has a distinct phasing.However,the scope of both international and domestic collaborations remains limited.Traditionally,human remains identifica-tion has primarily relied on key areas such as the pelvis,skull,and teeth.Looking ahead,future re-search will likely focus on the more accurate and efficient identification of multiple skeletal remains through the use of machine learning and deep learning techniques.


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