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Zhang J, Zhao YJ, Wang JY, Cui H, Li S, Meng X, Cai RY, Xie J, Sun SY, Yao Y, Li J. Comprehensive assessment of fine motor movement and cognitive function among older adults in China: a cross-sectional study. BMC Geriatr 2024; 24:118. [PMID: 38297201 PMCID: PMC10832076 DOI: 10.1186/s12877-024-04725-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Accepted: 01/19/2024] [Indexed: 02/02/2024] Open
Abstract
BACKGROUND Fine motor skills are closely related to cognitive function. However, there is currently no comprehensive assessment of fine motor movement and how it corresponds with cognitive function. To conduct a complete assessment of fine motor and clarify the relationship between various dimensions of fine motor and cognitive function. METHODS We conducted a cross-sectional study with 267 community-based participants aged ≥ 60 years in Beijing, China. We assessed four tests performance and gathered detailed fine motor indicators using Micro-Electro-Mechanical System (MEMS) motion capture technology. The wearable MEMS device provided us with precise fine motion metrics, while Chinese version of the Montreal Cognitive Assessment (MoCA) was used to assess cognitive function. We adopted logistic regression to analyze the relationship between fine motor movement and cognitive function. RESULTS 129 (48.3%) of the participants had cognitive impairment. The vast majority of fine motor movements have independent linear correlations with MoCA-BJ scores. According to logistic regression analysis, completion time in the Same-pattern tapping test (OR = 1.033, 95%CI = 1.003-1.063), Completion time of non-dominant hand in the Pieces flipping test (OR = 1.006, 95%CI = 1.000-1.011), and trajectory distance of dominant hand in the Pegboard test (OR = 1.044, 95%CI = 1.010-1.068), which represents dexterity, are related to cognitive impairment. Coordination, represented by lag time between hands in the Same-pattern tapping (OR = 1.663, 95%CI = 1.131-2.444), is correlated with cognitive impairment. Coverage in the Dual-hand drawing test as an important indicator of stability is negatively correlated with cognitive function (OR = 0.709, 95%CI = 0.6501-0.959). Based on the above 5-feature model showed consistently high accuracy and sensitivity at the MoCA-BJ score (ACU = 0.80-0.87). CONCLUSIONS The results of a comprehensive fine-motor assessment that integrates dexterity, coordination, and stability are closely related to cognitive functioning. Fine motor movement has the potential to be a reliable predictor of cognitive impairment.
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Affiliation(s)
- Jie Zhang
- Department of Geriatric Medicine, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, P. R. China
| | - Ye-Jing Zhao
- Department of Geriatric Medicine, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, P. R. China
| | | | - Han Cui
- Department of Geriatric Medicine, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, P. R. China
| | - Shaojie Li
- China Center for Health Development Studies, Peking University, Beijing, China
| | - Xue Meng
- Office of the National Clinical Research Center for Geriatric Diseases, Beijing Hospital, Institute of Geriatric Medicine, National Center of Gerontology, Chinese Academy of Medical Sciences, Beijing, P. R. China
| | - Rui-Yu Cai
- Department of Geriatric Medicine, Zhucheng People's Hospital, Weifang City, Shandong Province, China
| | - Juan Xie
- Geriatric Department, Hefei First People's Hospital, Hefei, China
| | - Su-Ya Sun
- Department of Geriatrics, Tangshan Gong Ren Hospital, Tangshan, Hebei, China
| | - Yao Yao
- China Center for Health Development Studies, Peking University, Beijing, China.
| | - Jing Li
- Department of Geriatric Medicine, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, P. R. China.
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Sun L, Li Z, Hu C, Ding J, Zhou Q, Pang G, Wu Z, Yang R, Li S, Li J, Cai J, Sun Y, Li R, Zhen H, Sun S, Zhang J, Fang M, Chen Z, Lv Y, Cao Q, Sun Y, Gong R, Huang Z, Duan Y, Liu H, Dong J, Li J, Ruan J, Lu H, He B, Li N, Li T, Xue W, Li Y, Shen J, Yang F, Zhao C, Liang Q, Zhang M, Chen C, Gong H, Hou Y, Wang J, Zhang Y, Yang H, Zhu S, Xiao L, Jin Z, Guo H, Zhao P, Brix S, Xu X, Jia H, Kristiansen K, Yang Z, Nie C. Age-dependent changes in the gut microbiota and serum metabolome correlate with renal function and human aging. Aging Cell 2023; 22:e14028. [PMID: 38015106 PMCID: PMC10726799 DOI: 10.1111/acel.14028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Revised: 10/16/2023] [Accepted: 10/18/2023] [Indexed: 11/29/2023] Open
Abstract
Human aging is invariably accompanied by a decline in renal function, a process potentially exacerbated by uremic toxins originating from gut microbes. Based on a registered household Chinese Guangxi longevity cohort (n = 151), we conducted comprehensive profiling of the gut microbiota and serum metabolome of individuals from 22 to 111 years of age and validated the findings in two independent East Asian aging cohorts (Japan aging cohort n = 330, Yunnan aging cohort n = 80), identifying unique age-dependent differences in the microbiota and serum metabolome. We discovered that the influence of the gut microbiota on serum metabolites intensifies with advancing age. Furthermore, mediation analyses unveiled putative causal relationships between the gut microbiota (Escherichia coli, Odoribacter splanchnicus, and Desulfovibrio piger) and serum metabolite markers related to impaired renal function (p-cresol, N-phenylacetylglutamine, 2-oxindole, and 4-aminohippuric acid) and aging. The fecal microbiota transplantation experiment demonstrated that the feces of elderly individuals could influence markers related to impaired renal function in the serum. Our findings reveal novel links between age-dependent alterations in the gut microbiota and serum metabolite markers of impaired renal function, providing novel insights into the effects of microbiota-metabolite interplay on renal function and healthy aging.
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Affiliation(s)
- Liang Sun
- The NHC Key Laboratory of GeriatricsInstitute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health CommissionBeijingChina
| | - Zhiming Li
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
- Shenzhen Key Laboratory of Neurogenomics, BGI ResearchShenzhenChina
- State Key Laboratory of Genetic EngineeringCollaborative Innovation Center for Genetics and Development, and Human Phenome Institute, Fudan UniversityShanghaiChina
| | | | - Jiahong Ding
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
- Shenzhen Key Laboratory of Neurogenomics, BGI ResearchShenzhenChina
| | - Qi Zhou
- The NHC Key Laboratory of GeriatricsInstitute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health CommissionBeijingChina
| | | | - Zhu Wu
- The NHC Key Laboratory of GeriatricsInstitute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health CommissionBeijingChina
| | - Ruiyue Yang
- The NHC Key Laboratory of GeriatricsInstitute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health CommissionBeijingChina
| | - Shenghui Li
- Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and HealthChina Agricultural UniversityBeijingChina
| | - Jian Li
- The NHC Key Laboratory of GeriatricsInstitute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health CommissionBeijingChina
| | - Jianping Cai
- The NHC Key Laboratory of GeriatricsInstitute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health CommissionBeijingChina
| | - Yuzhe Sun
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
- Shenzhen Key Laboratory of Neurogenomics, BGI ResearchShenzhenChina
| | - Rui Li
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
| | - Hefu Zhen
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
- Shenzhen Key Laboratory of Neurogenomics, BGI ResearchShenzhenChina
| | - Shuqin Sun
- School of GerontologyBinzhou Medical UniversityYantaiChina
| | - Jianmin Zhang
- School of GerontologyBinzhou Medical UniversityYantaiChina
| | - Mingyan Fang
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
| | - Zhihua Chen
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
| | - Yuan Lv
- Jiangbin HospitalNanningChina
| | - Qizhi Cao
- School of GerontologyBinzhou Medical UniversityYantaiChina
| | - Yanan Sun
- School of GerontologyBinzhou Medical UniversityYantaiChina
| | - Ranhui Gong
- Office of Longevity Cultural, People's Government of Yongfu CountyGuilinChina
| | - Zezhi Huang
- Office of Longevity Cultural, People's Government of Yongfu CountyGuilinChina
| | - Yong Duan
- Yunnan Key Laboratory of Laboratory MedicineKunmingChina
- Yunnan Institute of Experimental DiagnosisKunmingChina
| | - Hengshuo Liu
- The NHC Key Laboratory of GeriatricsInstitute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health CommissionBeijingChina
| | - Jun Dong
- The NHC Key Laboratory of GeriatricsInstitute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health CommissionBeijingChina
| | - Junchun Li
- Office of Longevity Cultural, People's Government of Yongfu CountyGuilinChina
| | - Jie Ruan
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
| | - Haorong Lu
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
| | | | | | - Tao Li
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
| | - Wenbin Xue
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
| | - Yan Li
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
- Shenzhen Key Laboratory of Neurogenomics, BGI ResearchShenzhenChina
| | - Juan Shen
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
| | - Fan Yang
- The NHC Key Laboratory of GeriatricsInstitute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health CommissionBeijingChina
| | - Cheng Zhao
- The NHC Key Laboratory of GeriatricsInstitute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health CommissionBeijingChina
| | | | - Mingrong Zhang
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
| | - Chen Chen
- The NHC Key Laboratory of GeriatricsInstitute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health CommissionBeijingChina
| | - Huan Gong
- The NHC Key Laboratory of GeriatricsInstitute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health CommissionBeijingChina
| | - Yong Hou
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
| | - Jian Wang
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
| | - Ying Zhang
- The NHC Key Laboratory of GeriatricsInstitute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health CommissionBeijingChina
| | - Huanming Yang
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
| | - Shida Zhu
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
- Shenzhen Engineering Laboratory for Innovative Molecular Diagnostics, BGI ResearchShenzhenChina
| | - Liang Xiao
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
- Shenzhen Engineering Laboratory of Detection and Intervention of Human Intestinal Microbiome, BGI ResearchShenzhenChina
| | - Zhen Jin
- Yunnan Key Laboratory of Laboratory MedicineKunmingChina
- Yunnan Institute of Experimental DiagnosisKunmingChina
| | - Haiyun Guo
- Yunnan Key Laboratory of Laboratory MedicineKunmingChina
| | - Peng Zhao
- Yunnan Key Laboratory of Laboratory MedicineKunmingChina
| | - Susanne Brix
- Department of Biotechnology and BiomedicineTechnical University of DenmarkLyngbyDenmark
| | - Xun Xu
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
- Guangdong Provincial Key Laboratory of Genome Read and Write, BGI ResearchShenzhenChina
| | - Huijue Jia
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
| | - Karsten Kristiansen
- BGI ResearchShenzhenChina
- Laboratory of Genomics and Molecular Biomedicine, Department of BiologyUniversity of CopenhagenCopenhagenDenmark
- Qingdao‐Europe Advanced Institute for Life SciencesQingdaoShandongChina
| | - Ze Yang
- The NHC Key Laboratory of GeriatricsInstitute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health CommissionBeijingChina
| | - Chao Nie
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
- Shenzhen Key Laboratory of Neurogenomics, BGI ResearchShenzhenChina
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Ge YP, Li C, Liu Y, Chen J, Wu MX, Song JH, Xu JY. [A single-center retrospective study of percutaneous drainage clinical characteristics of grade B and C postoperative pancreatic fistula and determination of the optimal intervention time]. Zhonghua Wai Ke Za Zhi 2023; 61:901-906. [PMID: 37653993 DOI: 10.3760/cma.j.cn112139-20230319-00113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 09/02/2023]
Abstract
Objective: To classified the fluid location of of grade B and C postoperative pancreatic fistula (POPF) and propose processing flow. Methods: Data from 232 patients who underwent pancreatic surgery from January 2018 to December 2022 at Department of General Surgery & Hepato-billo-pancreatic,Beijing Hospital were collected retrospectively. Forty-six patients who suffered from grade B and C POPF underwent ultrasound-guided drainage. There were 32 males and 14 females, with an age of (60.2±13.7)years (range:18 to 85 years). The imaging data of postoperative CT were collected and the the fluid location was classified. Then analyzed the drainage status when patents were diagnosed as POPF. Machine learning was performed and a random forest model was applied to construct the relationship between intervention time and mortality. The optimal intervention time was calculated. The patients were then divided into early and late intervention groups and clinical data and outcomes were compared using the t test,Mann-Whitney U test, χ2 test or Fisher's exact test between the two groups. Results: Based on the results of the random forest model, the optimal puncture time was within 5.38 days after the diagnosis of POPF. Based on the optimal time, 21 patients were subsumed into early intervention group and 25 patients were subsumed into late intervention group. The location of fluid collection was classified into four types: peripancreatic (32.7%,15/46), extra-pancreatic and epigastric (41.3%,19/46), extra-pancreatic and hypogastic (13.0%,6/46) and diffused (13.0%,6/46). The status of the drainage included normal in 10 patients (21.8%), displaced drain in 18 patients (39.1%) and drain removed or blocked in 18 patients (39.1%). The perioperative mortality rate was 19.0% (4/21) in the early intervention group and 8.0%(2/25) in the late. The late intervention group had significantly higher rates of positive drainage fluid cultures (88.0%(22/25) vs. 42.9%(10/21), χ2=10.584, P=0.001), secondary surgery (24.0%(6/25) vs. 0(0/21), P=0.025), and readmission within 90 days(32.0%(8/25) vs. 4.8%(1/21),χ2=5.381, P=0.020) than the early group, and a significantly longer postoperative hospital stay(M(IQR))(24(20)days vs. 39(53)days,Z=3.023,P=0.003). Conclusions: The location of the POPF fluid collection is classified into four types. Early radiological evaluation can detect abdominal effusion promptly,and early puncture and drainage will be beneficial in improving outcomes in these patents.
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Affiliation(s)
- Y P Ge
- Department of General Surgery & Hepato-billo-pancreatic Surgery, Beijing Hospital, National Center of Gerontology, Institute of Geriatrics Chinese Academy of Medical Sciences,Beijing100730, China
| | - C Li
- Department of Ultrasonography, Beijing Hospital, National Center of Gerontology, Institute of Geriatrics Chinese Academy of Medical Sciences, Beijing100730, China
| | - Y Liu
- Department of Ultrasonography, Beijing Hospital, National Center of Gerontology, Institute of Geriatrics Chinese Academy of Medical Sciences, Beijing100730, China
| | - J Chen
- Department of General Surgery & Hepato-billo-pancreatic Surgery, Beijing Hospital, National Center of Gerontology, Institute of Geriatrics Chinese Academy of Medical Sciences,Beijing100730, China
| | - M X Wu
- Department of Ultrasonography, Beijing Hospital, National Center of Gerontology, Institute of Geriatrics Chinese Academy of Medical Sciences, Beijing100730, China
| | - J H Song
- Department of General Surgery & Hepato-billo-pancreatic Surgery, Beijing Hospital, National Center of Gerontology, Institute of Geriatrics Chinese Academy of Medical Sciences,Beijing100730, China
| | - J Y Xu
- Department of General Surgery & Hepato-billo-pancreatic Surgery, Beijing Hospital, National Center of Gerontology, Institute of Geriatrics Chinese Academy of Medical Sciences,Beijing100730, China
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Zhang YN, Wang SM, Yu X, Zhang WD, Wang XY, Yang RY, Chen WX, Dong J, Ji FS. [Plasm trimethylamine-N-oxide level and association with lesion severity in coronary heart disease patients with type 2 diabetes mellitus]. Zhonghua Xin Xue Guan Bing Za Zhi 2021; 49:680-686. [PMID: 34256435 DOI: 10.3760/cma.j.cn112148-20200902-00696] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To investigate the association between trimethylamine-N-oxide (TMAO) and the degree of coronary atherosclerosis in coronary heart diseases (CHD) patients with type 2 diabetes mellitus. Methods: Consecutive patients, who underwent coronary angiography due to suspected CHD in Beijing Hospital from November 2016 to January 2018, were screened in this cross-sectional study. According to blood glucose level, previous medical history and coronary angiography results, they were divided into CHD without type2 diabetes mellitus(CHD-nDM) group and CHD with type2 diabetes mellitus(CHD-DM) group. Plasma TMAO levels in each group were measured by LC-MS/MS. Spearman correlation analysis was used to evaluate the correlation between TMAO and the number of diseased vessels and Gensini scores. Multivariate logistic regression was used to analyze the correlation between TMAO and high Gensini scores. Results: A total of 590 patients were enrolled in the study, including 238 patients in CHD-DM group and 352 patients in CHD-nDM group. Patients were older, body mass index, blood pressure level, prevalence of history of hypertension and statins use were higher in CHD-DM group than in CHD-nDM group (all P<0.05). The proportion of patients with multivessel disease (2 or more vessels) was also higher in CHD-DM group than in CHD-nDM group (P<0.001). Gensini score was higher in CHD-DM group than in CHD-nDM group (P<0.05). Fasting blood glucose, glycosylated hemoglobin and urea were significantly higher, while low-density lipoprotein cholesterol and hemoglobin were significantly lower in CHD-DM group than in CHD-nDM group (all P<0.05). The levels of TMAO was significantly higher in CHD-DM group than in CHD-nDM group (P<0.001). Spearman correlation analysis showed that TMAO was positively correlated with the number of diseased vessels, Gensini score, age and blood glucose level (r=0.178, 0.189, 0.260, 0.111, respectively, all P<0.01). Multivariate logistic regression analysis showed that, TMAO level was still positively correlated with high Gensini score in CHD-DM group (OR=2.25, 95%CI 1.16-4.38, P=0.017), but not in CHD-nDM group (OR=1.29, 95%CI 0.72-2.31, P=0.386) after adjusting for age, sex, body mass index, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, total cholesterol, triglyceride, history of hypertension, hyperlipidemia, smoking and statin use. Conclusions: In CHD patients with tupe 2 diabetes mellitus, the plasma TMAO level is significantly increased and is independent and positively correlated with the degree of coronary artery disease.
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Affiliation(s)
- Y N Zhang
- Peking University Fifth School of Clinical Medicine, Department of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - S M Wang
- Peking University Fifth School of Clinical Medicine, Department of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, China Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - X Yu
- Peking University Fifth School of Clinical Medicine, Department of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, China Department of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - W D Zhang
- Department of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - X Y Wang
- Department of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - R Y Yang
- Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - W X Chen
- Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - J Dong
- Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - F S Ji
- Department of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, China
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Chai L, Ni J, Ni X, Zhang N, Liu Y, Ji Z, Zhao X, Zhu X, Zhao B, Xin G, Wang Y, Yang F, Sun L, Zhu X, Bao W, Shui X, Wang F, Chen F, Yang Z. Association of CYP24A1 gene polymorphism with colorectal cancer in the Jiamusi population. PLoS One 2021; 16:e0253474. [PMID: 34191826 PMCID: PMC8244863 DOI: 10.1371/journal.pone.0253474] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Accepted: 06/06/2021] [Indexed: 12/01/2022] Open
Abstract
BACKGROUND The population in Jiamusi has been reported to have the highest prevalence of colorectal cancer (CRC) in China. The genetic causal-effect for this occurrence among the residents remains unclear. Given the long cold seasons with people wearing more clothes and reduced UV exposure, we aimed to study the association between the vitamin D metabolism-related gene CYP24A1 polymorphism and CRC susceptibility. METHOD A case-control study was conducted that included 168 patients with CRC and 710 age-matched healthy individuals as the control group. Plausible susceptible variations were sought and clinical phenotypic-genotype association analysis was performed. RESULTS Overall, two CYP24A1 polymorphisms, rs6013905 AX (P = 0.02, OR = 1.89, 95%CI: 1.09-3.29) and rs2762939 GX (P = 0.02, OR = 1.52, 95%CI: 1.08-2.13) were significantly associated with CRC in the Jiamusi population. In the female group, three CYP24A1 polymorphisms, rs6013905 AX (P = 0.04, OR = 2.59, 95%CI: 1.03-6.49), rs2762939 GX (P = 0.01, OR = 2.35, 95%CI: 1.25-4.42), and rs6068816 GG (P = 0.05, OR = 1.89, 95%CI: 0.99-3.59) carriers were significantly associated with CRC. In clinical phenotypic-genotype analysis, rs6013905 GG (P = 0.05, OR = 4.00, 95%CI: 0.92-17.48) and rs2762939 GX (P = 0.03, OR = 4.87, 95%CI: 1.00-23.69) carriers were significantly associated with poorly differentiated CRC, while CYP24A1 rs6068816 AX was significantly associated with the tumor type (P = 0.02, OR = 2.08, 95%CI: 1.10-3.96) and location (P = 0.04, OR = 2.24, 95%CI: 1.05-4.77). CONCLUSION CYP24A1 gene polymorphism may be a genetic risk factor attributable to the highest prevalence of CRC in Jiamusi people. Individuals with CYP24A1 gene polymorphism may have an increased barrier for vitamin D absorption, thus contributing to the risk of CRC development.
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Affiliation(s)
- Lin Chai
- The First Affiliated Hospital of Jiamusi University, Heilongjiang, P.R. China
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Beijing Hospital, National Center of Gerontology, National Health Commission, Beijing, P.R. China
- Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, P.R. China
| | - Jian Ni
- The First Affiliated Hospital of Jiamusi University, Heilongjiang, P.R. China
| | - Xiaolin Ni
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Beijing Hospital, National Center of Gerontology, National Health Commission, Beijing, P.R. China
- Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, P.R. China
- Graduate School of Chinese Academy of Medical Science and Peking Union Medical College, Beijing, P.R. China
| | - Nan Zhang
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Beijing Hospital, National Center of Gerontology, National Health Commission, Beijing, P.R. China
- Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, P.R. China
| | - Yang Liu
- The First Affiliated Hospital of Jiamusi University, Heilongjiang, P.R. China
| | - Zhiwu Ji
- The First Affiliated Hospital of Jiamusi University, Heilongjiang, P.R. China
| | - Xingwang Zhao
- The First Affiliated Hospital of Jiamusi University, Heilongjiang, P.R. China
| | - Xiaowen Zhu
- The First Affiliated Hospital of Jiamusi University, Heilongjiang, P.R. China
| | - Bin Zhao
- The First Affiliated Hospital of Jiamusi University, Heilongjiang, P.R. China
| | - Guorong Xin
- The First Affiliated Hospital of Jiamusi University, Heilongjiang, P.R. China
| | - Yu Wang
- The First Affiliated Hospital of Jiamusi University, Heilongjiang, P.R. China
| | - Fan Yang
- The First Affiliated Hospital of Jiamusi University, Heilongjiang, P.R. China
| | - Liang Sun
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Beijing Hospital, National Center of Gerontology, National Health Commission, Beijing, P.R. China
- Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, P.R. China
| | - Xiaoquan Zhu
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Beijing Hospital, National Center of Gerontology, National Health Commission, Beijing, P.R. China
- Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, P.R. China
| | - Wenhua Bao
- The First Affiliated Hospital of Jiamusi University, Heilongjiang, P.R. China
| | - Xiaofang Shui
- The First Affiliated Hospital of Jiamusi University, Heilongjiang, P.R. China
| | - Fengling Wang
- The First Affiliated Hospital of Jiamusi University, Heilongjiang, P.R. China
| | - Fujun Chen
- The First Affiliated Hospital of Jiamusi University, Heilongjiang, P.R. China
| | - Ze Yang
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Beijing Hospital, National Center of Gerontology, National Health Commission, Beijing, P.R. China
- Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, P.R. China
- Graduate School of Chinese Academy of Medical Science and Peking Union Medical College, Beijing, P.R. China
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Li R, Zhang R, Tan P, Wang M, Chen Y, Zhang J, Han D, Han Y, Li J, Zhang R. Development of novel quality control material based on CRISPR/Cas9 editing and xenografts for MLH1 protein deficiency testing. J Clin Lab Anal 2021; 35:e23746. [PMID: 33826163 PMCID: PMC8128289 DOI: 10.1002/jcla.23746] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Revised: 02/02/2021] [Accepted: 02/05/2021] [Indexed: 12/01/2022] Open
Abstract
BACKGROUND Mismatch repair deficiency (dMMR) status induced by MLH1 protein deficiency plays a pivotal role in therapeutic decision-making for cancer patients. Appropriate quality control (QC) materials are necessary for monitoring the accuracy of MLH1 protein deficiency assays used in clinical laboratories. METHODS CRISPR/Cas9 technology was used to edit the MLH1 gene of GM12878Cas9 cells to establish MLH1 protein-deficient cell lines. The positive cell lines were screened and validated by Sanger sequencing, Western blot (WB), and next-generation sequencing (NGS) and were then used to prepare formalin-fixed, paraffin-embedded (FFPE) samples through xenografting. These FFPE samples were tested by hematoxylin and eosin (H&E) staining and immunohistochemistry (IHC) for suitability as novel QC materials for MLH1 protein deficiency testing. RESULTS We successfully cultured 358 monoclonal cells, with a survival rate of 37.3% (358/960) of the sorted monoclonal cells. Through Sanger sequencing, cell lines with MLH1 gene mutation were identified. Subsequently, two cell lines with MLH1 protein deficiency were identified by WB and named as GM12878Cas9_6 and GM12878Cas9_10. The NGS results further confirmed that the MLH1 gene mutation in these two cell lines would cause the formation of stop codons and terminate the expression of the MLH1 protein. The H&E staining and IHC results also verified the deficiency of the MLH1 protein, and FFPE samples from xenografts proved their similarity and consistency with clinical samples. CONCLUSIONS We successfully established MLH1 protein-deficient cell lines. Followed by xenografting, we developed novel FFPE QC materials with homogenous, sustainable, and typical histological structures advantages that are suitable for the standardization of clinical IHC methods.
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Affiliation(s)
- Rui Li
- National Center for Clinical LaboratoriesBeijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical SciencesBeijingChina
- Graduate School of Peking Union Medical CollegeChinese Academy of Medical SciencesBeijingChina
- Beijing Engineering Research Center of Laboratory MedicineBeijing HospitalBeijingChina
| | - Runling Zhang
- National Center for Clinical LaboratoriesBeijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical SciencesBeijingChina
- Graduate School of Peking Union Medical CollegeChinese Academy of Medical SciencesBeijingChina
- Beijing Engineering Research Center of Laboratory MedicineBeijing HospitalBeijingChina
| | - Ping Tan
- National Center for Clinical LaboratoriesBeijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical SciencesBeijingChina
- Graduate School of Peking Union Medical CollegeChinese Academy of Medical SciencesBeijingChina
- Beijing Engineering Research Center of Laboratory MedicineBeijing HospitalBeijingChina
| | - Meng Wang
- National Center for Clinical LaboratoriesBeijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical SciencesBeijingChina
- Graduate School of Peking Union Medical CollegeChinese Academy of Medical SciencesBeijingChina
- Beijing Engineering Research Center of Laboratory MedicineBeijing HospitalBeijingChina
| | - Yuqing Chen
- National Center for Clinical LaboratoriesBeijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical SciencesBeijingChina
- Graduate School of Peking Union Medical CollegeChinese Academy of Medical SciencesBeijingChina
- Beijing Engineering Research Center of Laboratory MedicineBeijing HospitalBeijingChina
| | - Jiawei Zhang
- National Center for Clinical LaboratoriesBeijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical SciencesBeijingChina
- Graduate School of Peking Union Medical CollegeChinese Academy of Medical SciencesBeijingChina
- Beijing Engineering Research Center of Laboratory MedicineBeijing HospitalBeijingChina
| | - Dongsheng Han
- National Center for Clinical LaboratoriesBeijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical SciencesBeijingChina
- Graduate School of Peking Union Medical CollegeChinese Academy of Medical SciencesBeijingChina
- Beijing Engineering Research Center of Laboratory MedicineBeijing HospitalBeijingChina
| | - Yanxi Han
- National Center for Clinical LaboratoriesBeijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical SciencesBeijingChina
- Beijing Engineering Research Center of Laboratory MedicineBeijing HospitalBeijingChina
| | - Jinming Li
- National Center for Clinical LaboratoriesBeijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical SciencesBeijingChina
- Graduate School of Peking Union Medical CollegeChinese Academy of Medical SciencesBeijingChina
- Beijing Engineering Research Center of Laboratory MedicineBeijing HospitalBeijingChina
| | - Rui Zhang
- National Center for Clinical LaboratoriesBeijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical SciencesBeijingChina
- Graduate School of Peking Union Medical CollegeChinese Academy of Medical SciencesBeijingChina
- Beijing Engineering Research Center of Laboratory MedicineBeijing HospitalBeijingChina
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Wu Q, Luo X, Li H, Zhang L, Su F, hou S, Yin J, Zhang W, Zou L. Identification of differentially expressed circular RNAs associated with thymoma. Thorac Cancer 2021; 12:1312-1319. [PMID: 33704915 PMCID: PMC8088952 DOI: 10.1111/1759-7714.13873] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2020] [Revised: 01/14/2021] [Accepted: 01/14/2021] [Indexed: 12/05/2022] Open
Abstract
BACKGROUND Thymomas and thymic carcinomas are the most common tumor types among anterior mediastinal lesions. However, the relationship between molecular aberrations and thymoma patients are poorly understood, especially abnormal changes in the expression profiles of circRNAs. The purpose of the present study was to investigate the expression profiles of circRNAs in thymoma patients and their possible roles in the pathogenesis of thymoma. METHODS Diseased tissues and surrounding normal thymic tissues in two thymoma patients were collected for circRNA sequencing. The top four upregulated circRNAs were selected as candidates and further validated with RT-PCR in 20 thymoma patients. Gene ontology and signal transduction network analyses of circRNA-related mRNAs were performed to analyze the functional properties. Survival analysis of their parental genes were also carried out to evaluate the clinical value of differentially expressed circRNA. RESULTS A total of 73 circRNAs were differentially expressed in thymoma tissues using high-throughput sequencing. Among these circRNAs, hsa_circ_0001173, hsa_circ_0007291, hsa_circ_0003550, and hsa_circ_0001947 were significantly upregulated in thymoma tissues compared with normal thymic tissues. We identified that these four circRNA-related mRNAs were involved in cell-cell adhesion, MAPK pathways, and TNF pathway, which may contribute to the pathological immune disorder in thymoma. Finally, we also found that SCAP (hsa_circ_0007291 parental gene) and AFF2 (hsa_circ_0001947 parental gene) were all significantly related with progression-free survival (PFS) of thymoma patients in a Kaplan-Meier plot (p-value <0.05). CONCLUSIONS The expression levels of hsa_circ_0001173, hsa_circ_0007291, hsa_circ_0003550, and hsa_circ_0001947 were significantly upregulated and positively correlated with immune imbalance in thymoma patients.
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Affiliation(s)
- Qingjun Wu
- Department of thoracic surgeryBeijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical SciencesBeijingChina
| | - Xuanmei Luo
- The Key Laboratory of Geriatrics, Beijing Institute of GeriatricsBeijing Hospital, National Center of Gerontology, National Health Commission; Institute of Geriatric Medicine, Chinese Academy of Medical SciencesBeijingChina
| | - Hexin Li
- Clinical BiobankBeijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical SciencesBeijingChina
| | - Lili Zhang
- Clinical BiobankBeijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical SciencesBeijingChina
| | - Fei Su
- Clinical BiobankBeijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical SciencesBeijingChina
| | - Shifang hou
- Department of NeurologyBeijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical SciencesBeijingChina
| | - Jian Yin
- Department of NeurologyBeijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical SciencesBeijingChina
| | - Wei Zhang
- Department of Pathology, Beijing Hospital, National Center of Gerontology; Institute of Geriatric MedicineChinese Academy of Medical SciencesBeijingChina
| | - Lihui Zou
- The Key Laboratory of Geriatrics, Beijing Institute of GeriatricsBeijing Hospital, National Center of Gerontology, National Health Commission; Institute of Geriatric Medicine, Chinese Academy of Medical SciencesBeijingChina
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