Circulating metabolome in relation to cognitive impairment: a community-based cohort of older adults
Abstract The role of circulating metabolome in cognitive impairment is inconclusive, and whether the associations are in the severity-dependent manner remains unclear. We aimed to identify plasma metabolites associated with cognitive impairment and evaluate the added predictive capacity of metabolit...
Saved in:
| Main Authors: | , , , , , , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2024-11-01
|
| Series: | Translational Psychiatry |
| Online Access: | https://doi.org/10.1038/s41398-024-03147-9 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1846164840578547712 |
|---|---|
| author | Yuhui Huang Xuehui Sun Qingxia Huang Qiumin Huang Xiao Chen Xiaofeng Zhou Hui Chen Jie Shen Mengyan Gao Yiying Gong Hui Zhang Huiru Tang Xiaofeng Wang Xiaoyan Jiang Yan Zheng Changzheng Yuan |
| author_facet | Yuhui Huang Xuehui Sun Qingxia Huang Qiumin Huang Xiao Chen Xiaofeng Zhou Hui Chen Jie Shen Mengyan Gao Yiying Gong Hui Zhang Huiru Tang Xiaofeng Wang Xiaoyan Jiang Yan Zheng Changzheng Yuan |
| author_sort | Yuhui Huang |
| collection | DOAJ |
| description | Abstract The role of circulating metabolome in cognitive impairment is inconclusive, and whether the associations are in the severity-dependent manner remains unclear. We aimed to identify plasma metabolites associated with cognitive impairment and evaluate the added predictive capacity of metabolite biomarkers on incident cognitive impairment beyond traditional risk factors. In the Rugao Longevity and Ageing Study (RuLAS), plasma metabolome was profiled by nuclear magnetic resonance spectroscopy. Participants were classified into the cognitively normal, moderately impaired, and severely impaired groups according to their performance in two objective cognitive tests. A two-step strategy of cross-sectional discovery followed by prospective validation was applied. In the discovery stage, we included 1643 participants (age: 78.9 ± 4.5 years) and conducted multinomial logistic regression. In the validation stage, we matched 68 incident cases of cognitive impairment (moderately-to-severely impaired) during the 2-year follow-up with 204 cognitively normal controls by age and sex at a 1:3 ratio, and conducted conditional logistic regression. We identified 28 out of 78 metabolites cross-sectionally related to severely impaired cognition, among which IDL particle number, ApoB in IDL, leucine, and valine were prospectively associated with 28%, 28%, 29%, and 33% lower risk of developing cognitive impairment, respectively. Incorporating 13 metabolite biomarkers selected through Lasso regression into the traditional risk factors-based prediction model substantially improved the ability to predict incident cognitive impairment (AUROC: 0.839 vs. 0.703, P < 0.001; AUPRC: 0.705 vs. 0.405, P < 0.001). This study identified specific plasma metabolites related to cognitive impairment. Incorporation of specific metabolites substantially improved the prediction performance for cognitive impairment. |
| format | Article |
| id | doaj-art-cfe1916acbd847989b040d8aa57e5fa8 |
| institution | Kabale University |
| issn | 2158-3188 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Nature Publishing Group |
| record_format | Article |
| series | Translational Psychiatry |
| spelling | doaj-art-cfe1916acbd847989b040d8aa57e5fa82024-11-17T12:50:00ZengNature Publishing GroupTranslational Psychiatry2158-31882024-11-0114111010.1038/s41398-024-03147-9Circulating metabolome in relation to cognitive impairment: a community-based cohort of older adultsYuhui Huang0Xuehui Sun1Qingxia Huang2Qiumin Huang3Xiao Chen4Xiaofeng Zhou5Hui Chen6Jie Shen7Mengyan Gao8Yiying Gong9Hui Zhang10Huiru Tang11Xiaofeng Wang12Xiaoyan Jiang13Yan Zheng14Changzheng Yuan15School of Public Health, the Second Affiliated Hospital, Zhejiang University School of MedicineState Key Laboratory of Genetic Engineering, School of Life Sciences and Human Phenome Institute, Fudan UniversityState Key Laboratory of Genetic Engineering, School of Life Sciences and Human Phenome Institute, Fudan UniversityState Key Laboratory of Genetic Engineering, School of Life Sciences and Human Phenome Institute, Fudan UniversityDepartment of Nutrition and Food Hygiene, School of Public Health, Institute of Nutrition, Fudan UniversityState Key Laboratory of Genetic Engineering, School of Life Sciences and Human Phenome Institute, Fudan UniversitySchool of Public Health, the Second Affiliated Hospital, Zhejiang University School of MedicineSchool of Public Health, the Second Affiliated Hospital, Zhejiang University School of MedicineSchool of Public Health, the Second Affiliated Hospital, Zhejiang University School of MedicineSchool of Public Health, the Second Affiliated Hospital, Zhejiang University School of MedicineState Key Laboratory of Genetic Engineering, School of Life Sciences and Human Phenome Institute, Fudan UniversityState Key Laboratory of Genetic Engineering, School of Life Sciences and Human Phenome Institute, Fudan UniversityState Key Laboratory of Genetic Engineering, School of Life Sciences and Human Phenome Institute, Fudan UniversityState Key Laboratory of Cardiology, Department of Pathology and Pathophysiology, School of Medicine, Tongji UniversityState Key Laboratory of Genetic Engineering, School of Life Sciences and Human Phenome Institute, Fudan UniversitySchool of Public Health, the Second Affiliated Hospital, Zhejiang University School of MedicineAbstract The role of circulating metabolome in cognitive impairment is inconclusive, and whether the associations are in the severity-dependent manner remains unclear. We aimed to identify plasma metabolites associated with cognitive impairment and evaluate the added predictive capacity of metabolite biomarkers on incident cognitive impairment beyond traditional risk factors. In the Rugao Longevity and Ageing Study (RuLAS), plasma metabolome was profiled by nuclear magnetic resonance spectroscopy. Participants were classified into the cognitively normal, moderately impaired, and severely impaired groups according to their performance in two objective cognitive tests. A two-step strategy of cross-sectional discovery followed by prospective validation was applied. In the discovery stage, we included 1643 participants (age: 78.9 ± 4.5 years) and conducted multinomial logistic regression. In the validation stage, we matched 68 incident cases of cognitive impairment (moderately-to-severely impaired) during the 2-year follow-up with 204 cognitively normal controls by age and sex at a 1:3 ratio, and conducted conditional logistic regression. We identified 28 out of 78 metabolites cross-sectionally related to severely impaired cognition, among which IDL particle number, ApoB in IDL, leucine, and valine were prospectively associated with 28%, 28%, 29%, and 33% lower risk of developing cognitive impairment, respectively. Incorporating 13 metabolite biomarkers selected through Lasso regression into the traditional risk factors-based prediction model substantially improved the ability to predict incident cognitive impairment (AUROC: 0.839 vs. 0.703, P < 0.001; AUPRC: 0.705 vs. 0.405, P < 0.001). This study identified specific plasma metabolites related to cognitive impairment. Incorporation of specific metabolites substantially improved the prediction performance for cognitive impairment.https://doi.org/10.1038/s41398-024-03147-9 |
| spellingShingle | Yuhui Huang Xuehui Sun Qingxia Huang Qiumin Huang Xiao Chen Xiaofeng Zhou Hui Chen Jie Shen Mengyan Gao Yiying Gong Hui Zhang Huiru Tang Xiaofeng Wang Xiaoyan Jiang Yan Zheng Changzheng Yuan Circulating metabolome in relation to cognitive impairment: a community-based cohort of older adults Translational Psychiatry |
| title | Circulating metabolome in relation to cognitive impairment: a community-based cohort of older adults |
| title_full | Circulating metabolome in relation to cognitive impairment: a community-based cohort of older adults |
| title_fullStr | Circulating metabolome in relation to cognitive impairment: a community-based cohort of older adults |
| title_full_unstemmed | Circulating metabolome in relation to cognitive impairment: a community-based cohort of older adults |
| title_short | Circulating metabolome in relation to cognitive impairment: a community-based cohort of older adults |
| title_sort | circulating metabolome in relation to cognitive impairment a community based cohort of older adults |
| url | https://doi.org/10.1038/s41398-024-03147-9 |
| work_keys_str_mv | AT yuhuihuang circulatingmetabolomeinrelationtocognitiveimpairmentacommunitybasedcohortofolderadults AT xuehuisun circulatingmetabolomeinrelationtocognitiveimpairmentacommunitybasedcohortofolderadults AT qingxiahuang circulatingmetabolomeinrelationtocognitiveimpairmentacommunitybasedcohortofolderadults AT qiuminhuang circulatingmetabolomeinrelationtocognitiveimpairmentacommunitybasedcohortofolderadults AT xiaochen circulatingmetabolomeinrelationtocognitiveimpairmentacommunitybasedcohortofolderadults AT xiaofengzhou circulatingmetabolomeinrelationtocognitiveimpairmentacommunitybasedcohortofolderadults AT huichen circulatingmetabolomeinrelationtocognitiveimpairmentacommunitybasedcohortofolderadults AT jieshen circulatingmetabolomeinrelationtocognitiveimpairmentacommunitybasedcohortofolderadults AT mengyangao circulatingmetabolomeinrelationtocognitiveimpairmentacommunitybasedcohortofolderadults AT yiyinggong circulatingmetabolomeinrelationtocognitiveimpairmentacommunitybasedcohortofolderadults AT huizhang circulatingmetabolomeinrelationtocognitiveimpairmentacommunitybasedcohortofolderadults AT huirutang circulatingmetabolomeinrelationtocognitiveimpairmentacommunitybasedcohortofolderadults AT xiaofengwang circulatingmetabolomeinrelationtocognitiveimpairmentacommunitybasedcohortofolderadults AT xiaoyanjiang circulatingmetabolomeinrelationtocognitiveimpairmentacommunitybasedcohortofolderadults AT yanzheng circulatingmetabolomeinrelationtocognitiveimpairmentacommunitybasedcohortofolderadults AT changzhengyuan circulatingmetabolomeinrelationtocognitiveimpairmentacommunitybasedcohortofolderadults |