Association between serum IgM and all-cause mortality risk in Chinese centenarians: a prospective cohort study
Abstract Background We investigated the associations between IgM, IgG, IgA, and IgE levels and all-cause mortality risk in Chinese centenarians. Methods All participants were from the China Hainan Centenarian Cohort Study. Eligible participants were divided into quartiles based on their IgM, IgG, Ig...
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BMC
2024-10-01
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| Series: | Immunity & Ageing |
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| Online Access: | https://doi.org/10.1186/s12979-024-00475-8 |
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| author | Weiguang Zhang Yuting Duan Zhe Li Yue Niu Bin Wang Zhe Feng Ding Sun Hao Li Zehao Zhang Zeyu Qu Miao Liu Hongyan Hu Qiao Zhu Yujian Chen Chaoxue Ning Shihui Fu Shanshan Yang Shengshu Wang Yali Zhao Yao He Xiangmei Chen Yizhi Chen |
| author_facet | Weiguang Zhang Yuting Duan Zhe Li Yue Niu Bin Wang Zhe Feng Ding Sun Hao Li Zehao Zhang Zeyu Qu Miao Liu Hongyan Hu Qiao Zhu Yujian Chen Chaoxue Ning Shihui Fu Shanshan Yang Shengshu Wang Yali Zhao Yao He Xiangmei Chen Yizhi Chen |
| author_sort | Weiguang Zhang |
| collection | DOAJ |
| description | Abstract Background We investigated the associations between IgM, IgG, IgA, and IgE levels and all-cause mortality risk in Chinese centenarians. Methods All participants were from the China Hainan Centenarian Cohort Study. Eligible participants were divided into quartiles based on their IgM, IgG, IgA, and IgE levels. We used restricted cubic spline analyses, Cox regression analyses, and Kaplan–Meier survival curves to analyze associations between IgM, IgG, IgA, and IgE and all-cause mortality risk. Results A total of 906 centenarian participants were included in this study (81.2% female; median age, 102 years). During a median follow-up of 30.1 months, 838 (92.5%) participants died. Restricted cubic spline analysis revealed a nonlinear relationship (“L” type) between serum IgM level and all-cause mortality. Compared with the higher three quartiles of serum IgM level, the lowest quartile was associated with a higher risk of death (Q1 versus Q2-Q4: HR, 1.365; 95% CI, 1.166–1.598; P < 0.001). Among individuals for whom IgM < 0.708 g/L (Q1), the risk of all-cause mortality was 36.5% higher. Kaplan–Meier analyses showed that centenarians with lower serum IgM levels had significantly shorter median survival time (Q1 versus Q2-Q4: 26 months versus 32 months, log-rank P = 0.001). Conclusion Serum IgM levels in centenarians significantly correlated with the risk of death, suggesting that they are suitable for predicting the overall risk of death in centenarians and can be used as an independent predictor of death. |
| format | Article |
| id | doaj-art-60acda9ed7b84f20aec29b5a0c88a0fc |
| institution | OA Journals |
| issn | 1742-4933 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | BMC |
| record_format | Article |
| series | Immunity & Ageing |
| spelling | doaj-art-60acda9ed7b84f20aec29b5a0c88a0fc2025-08-20T02:17:56ZengBMCImmunity & Ageing1742-49332024-10-0121111110.1186/s12979-024-00475-8Association between serum IgM and all-cause mortality risk in Chinese centenarians: a prospective cohort studyWeiguang Zhang0Yuting Duan1Zhe Li2Yue Niu3Bin Wang4Zhe Feng5Ding Sun6Hao Li7Zehao Zhang8Zeyu Qu9Miao Liu10Hongyan Hu11Qiao Zhu12Yujian Chen13Chaoxue Ning14Shihui Fu15Shanshan Yang16Shengshu Wang17Yali Zhao18Yao He19Xiangmei Chen20Yizhi Chen21Department of Nephrology, Hainan Hospital of Chinese PLA General Hospital, Academician Chen Xiangmei of Hainan Province Kidney Diseases Research Team Innovation CenterDepartment of Geriatric Medicine, The Affiliated Hospital of Qingdao UniversityLuoyang Key Laboratory of Clinical Multiomics and Translational Medicine, Henan Key Laboratory of Rare Diseases, Endocrinology and Metabolism Center, The First Affiliated Hospital, College of Clinical Medicine of Henan, University of Science and TechnologySenior Department of Nephrology, National Key Laboratory of Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, the First Medical Center of Chinese PLA General Hospital, Chinese PLA Institute of Nephrology, National Clinical Research Center for Kidney DiseasesSenior Department of Nephrology, National Key Laboratory of Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, the First Medical Center of Chinese PLA General Hospital, Chinese PLA Institute of Nephrology, National Clinical Research Center for Kidney DiseasesSenior Department of Nephrology, National Key Laboratory of Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, the First Medical Center of Chinese PLA General Hospital, Chinese PLA Institute of Nephrology, National Clinical Research Center for Kidney DiseasesDepartment of Nephrology, Hainan Hospital of Chinese PLA General Hospital, Academician Chen Xiangmei of Hainan Province Kidney Diseases Research Team Innovation CenterDepartment of Nephrology, Hainan Hospital of Chinese PLA General Hospital, Academician Chen Xiangmei of Hainan Province Kidney Diseases Research Team Innovation CenterDepartment of Nephrology, Hainan Hospital of Chinese PLA General Hospital, Academician Chen Xiangmei of Hainan Province Kidney Diseases Research Team Innovation CenterDepartment of Nephrology, Hainan Hospital of Chinese PLA General Hospital, Academician Chen Xiangmei of Hainan Province Kidney Diseases Research Team Innovation CenterInstitute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatric Diseases, Second Medical Center, State Key Laboratory of Kidney Diseases, Chinese PLA General HospitalDepartment of Laboratory Medicine, Hainan Hospital of Chinese PLA General HospitalCentral Laboratory, Hainan Hospital of Chinese PLA General HospitalCentral Laboratory, Hainan Hospital of Chinese PLA General HospitalCentral Laboratory, Hainan Hospital of Chinese PLA General HospitalDepartment of Cardiology, Hainan Hospital of Chinese PLA General HospitalDepartment of Disease Prevention and Control, First Medical Center, Chinese PLA General HospitalInstitute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatric Diseases, Second Medical Center, State Key Laboratory of Kidney Diseases, Chinese PLA General HospitalCentral Laboratory, Hainan Hospital of Chinese PLA General HospitalInstitute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatric Diseases, Second Medical Center, State Key Laboratory of Kidney Diseases, Chinese PLA General HospitalSenior Department of Nephrology, National Key Laboratory of Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, the First Medical Center of Chinese PLA General Hospital, Chinese PLA Institute of Nephrology, National Clinical Research Center for Kidney DiseasesDepartment of Nephrology, Hainan Hospital of Chinese PLA General Hospital, Academician Chen Xiangmei of Hainan Province Kidney Diseases Research Team Innovation CenterAbstract Background We investigated the associations between IgM, IgG, IgA, and IgE levels and all-cause mortality risk in Chinese centenarians. Methods All participants were from the China Hainan Centenarian Cohort Study. Eligible participants were divided into quartiles based on their IgM, IgG, IgA, and IgE levels. We used restricted cubic spline analyses, Cox regression analyses, and Kaplan–Meier survival curves to analyze associations between IgM, IgG, IgA, and IgE and all-cause mortality risk. Results A total of 906 centenarian participants were included in this study (81.2% female; median age, 102 years). During a median follow-up of 30.1 months, 838 (92.5%) participants died. Restricted cubic spline analysis revealed a nonlinear relationship (“L” type) between serum IgM level and all-cause mortality. Compared with the higher three quartiles of serum IgM level, the lowest quartile was associated with a higher risk of death (Q1 versus Q2-Q4: HR, 1.365; 95% CI, 1.166–1.598; P < 0.001). Among individuals for whom IgM < 0.708 g/L (Q1), the risk of all-cause mortality was 36.5% higher. Kaplan–Meier analyses showed that centenarians with lower serum IgM levels had significantly shorter median survival time (Q1 versus Q2-Q4: 26 months versus 32 months, log-rank P = 0.001). Conclusion Serum IgM levels in centenarians significantly correlated with the risk of death, suggesting that they are suitable for predicting the overall risk of death in centenarians and can be used as an independent predictor of death.https://doi.org/10.1186/s12979-024-00475-8CentenariansImmunoglobulin MLongevityRisk of deathImmunityAging |
| spellingShingle | Weiguang Zhang Yuting Duan Zhe Li Yue Niu Bin Wang Zhe Feng Ding Sun Hao Li Zehao Zhang Zeyu Qu Miao Liu Hongyan Hu Qiao Zhu Yujian Chen Chaoxue Ning Shihui Fu Shanshan Yang Shengshu Wang Yali Zhao Yao He Xiangmei Chen Yizhi Chen Association between serum IgM and all-cause mortality risk in Chinese centenarians: a prospective cohort study Immunity & Ageing Centenarians Immunoglobulin M Longevity Risk of death Immunity Aging |
| title | Association between serum IgM and all-cause mortality risk in Chinese centenarians: a prospective cohort study |
| title_full | Association between serum IgM and all-cause mortality risk in Chinese centenarians: a prospective cohort study |
| title_fullStr | Association between serum IgM and all-cause mortality risk in Chinese centenarians: a prospective cohort study |
| title_full_unstemmed | Association between serum IgM and all-cause mortality risk in Chinese centenarians: a prospective cohort study |
| title_short | Association between serum IgM and all-cause mortality risk in Chinese centenarians: a prospective cohort study |
| title_sort | association between serum igm and all cause mortality risk in chinese centenarians a prospective cohort study |
| topic | Centenarians Immunoglobulin M Longevity Risk of death Immunity Aging |
| url | https://doi.org/10.1186/s12979-024-00475-8 |
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