Multi-omics data integration progress based on the Chinese healthy aging research cohort

LIU Ludi; HE Jialin; YE Bingqi; YANG Jialu; XIA Min; LIU Yan

doi:10.16462/j.cnki.zhjbkz.2025.08.014

Volume 29 Issue 8

Aug. 2025

Turn off MathJax

Article Contents

Article Navigation > CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION > 2025 > 29(8): 956-960

LIU Ludi, HE Jialin, YE Bingqi, YANG Jialu, XIA Min, LIU Yan. Multi-omics data integration progress based on the Chinese healthy aging research cohort[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2025, 29(8): 956-960. doi: 10.16462/j.cnki.zhjbkz.2025.08.014

Citation:

LIU Ludi, HE Jialin, YE Bingqi, YANG Jialu, XIA Min, LIU Yan. Multi-omics data integration progress based on the Chinese healthy aging research cohort[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2025, 29(8): 956-960. doi: 10.16462/j.cnki.zhjbkz.2025.08.014

Citation:

PDF( 779 KB)

Multi-omics data integration progress based on the Chinese healthy aging research cohort

doi: 10.16462/j.cnki.zhjbkz.2025.08.014

Department of Nutrition and Food Hygiene, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China

Funds:

National Key Research and Development Program of China 2023YFC3606300

More Information

Corresponding author: LIU Yan, E-mail: liuyan215@mail.sysu.edu.cn
Received Date: 2025-02-24
Rev Recd Date: 2025-05-30
Publish Date: 2025-08-10

Abstract

Abstract

With the acceleration of population aging in China, assessing the dynamic changes in the body at the molecular level during the aging process and discovering new biomarkers are of great significance for reducing the disease burden of the elderly population and improving their quality of life. Western countries have earlier initiated specialized and diverse research projects on aging and elderly health, establishing multiple large-scale longitudinal population cohorts. China has also successively launched several healthy aging studies, accumulating a wealth of aging-related health data. However, domestic research still faces challenges such as insufficient data sharing, low levels of informatization and standardization in sample resource repositories, and a lack of comprehensive, high-precision, and nationally representative standardized multi-omics databases. Through the integration of multi-omics data in the Chinese healthy aging research cohort, it will promote the integration and cleaning of multi-omics data in nationally representative cohorts, providing a reference for the formulation of data integration standards in large-scale population cohort studies in China.
- Aging,
- Multi-omics data,
- Cohort study

FullText(HTML)

References(27)

References

[1]	国务院办公厅. 国务院办公厅关于促进和规范健康医疗大数据应用发展的指导意见[EB/OL]. (2016-06-24)[2025-02-24]. https://www.gov.cn/zhengce/content/2016-06/24/content_5085091.htm.
[2]	中华人民共和国中央人民政府. 中共中央国务院关于优化生育政策促进人口长期均衡发展的决定[EB/OL]. (2021-7-20)[2025-02-24]. https://www.gov.cn/zhengce/2021-07/20/content_5626190.htm.
[3]	宁子昂, 于忠卉. 积极老龄化视角下老年教育的现状和发展路径研究[J]. 老龄化研究, 2024, 11(4): 5. DOI: 10.12677/ar.2024.114178. Ning ZA, Yu ZH. Research on the current situation and development path of education for the elderly from the perspective of active aging[J]. Aging Research. 2024, 11(4): 5. DOI: 10.12677/ar.2024.114178.
[4]	Lu JK, Wang W, Mahadzir MDA, et al. Digital biomarkers of ageing for monitoring physiological systems in community-dwelling adults[J]. Lancet Healthy Longev, 2025, 6(6): 10725. DOI: 10.1016/j.lanhl.2025.100725.
[5]	中华人民共和国中央人民政府. 中共中央国务院印发《"健康中国2030"规划纲要》[EB/OL]. (2016-10-25)[2025-02-24]. https://www.gov.cn/zhengce/2016-10/25/content_5124174.htm.
[6]	徐莉, 葛晶, 于鹏, 等. 中国老年人慢性病及共病模式变化研究: 基于中国健康与养老追踪调查数据[J]. 中国全科医学, 2024, 27(11): 1296-1302. DOI: 10.12114/j.issn.1007-9572.2023.0634. Xu L, Ge J, Yu P, et al. Shifts in chronic disease and comorbidity patterns among Chinese older adults: an analysis based on the China Health and Retirement Longitudinal Study[J]. Chin Gen Prac, 2024, 27(11): 1296-1302. DOI: 10.12114/j.issn.1007-9572.2023.0634.
[7]	乔晓春. 全国及各省份老年健康预期寿命变化及差异比较[J]. 人口与经济, 2023, (5): 1-20. DOI: 10.3969/j.issn.1000-4149.2023.00.041. Qiao XC. Comparison of changes and differences in health expectancies of the elderly in the nation and provinces[J]. Population and Economics, 2023, (5): 1-20. DOI: 10.3969/j.issn.1000-4149.2023.00.041.
[8]	Xu Y, Ji T, Li X, et al. The effectiveness of the comprehensive geriatric assessment for older adults with frailty in hospital settings: a systematic review and Meta-analysis[J]. Int J Nurs Stud. 2024;159: 104849. DOI: 10.1016/j.ijnurstu.2024.104849.
[9]	Tian H, Ni Z, Lam SM, et al. Precise metabolomics reveals a diversity of aging-associated metabolic features[J]. Small Methods, 2022, 6(7): e2200130. DOI: 10.1002/smtd.202200130.
[10]	Rosic N. Unveiling the anti-aging potential of marine natural bioproducts[J]. Mar Drugs, 2025, 23(4): 165. DOI: 10.3390/md23040165.
[11]	Lu RJ, Wang EK, Benayoun BA. Functional genomics of inflamm-aging and immunosenescence[J]. Brief Funct Genomics, 2022, 21(1): 43-55. DOI: 10.1093/bfgp/elab009.
[12]	Wang JJ, Qie JL, Zhu DR, et al. The landscape in the gut microbiome of long-lived families reveals new insights on longevity and aging-relevant neural and immune function[J]. Gut Microbes, 2022, 14(1): 2107288. DOI: 10.1080/19490976.2022.2107288.
[13]	Mirón Mombiela R, Borrás C. The usefulness of radiomics methodology for developing descriptive and prognostic image-based phenotyping in the aging population: results from a small feasibility study[J]. Front Aging, 2022, 3: 853671. DOI: 10.3389/fragi.2022.853671.
[14]	Zhang B, Yang MQ, Liu W. Integrating multi-omics analysis unveils the key mechanisms of PQS-enhanced algicidal activity in Enterobacter hormaechei F2[J]. Genomics, 2025, 117(4): 111060. DOI: 10.1016/j.ygeno.2025.111060.
[15]	Metwally AM, Salah El-Din EM, Sami SM, et al. Mapping autism in Egypt: population-based insights into prevalence, risk determinants, and severity among children aged 1-12 years[J]. Mol Autism, 2025, 16(1): 32. DOI: 10.1186/s13229-025-00665-1.
[16]	Seong HJ, Park YM, Kim BS, et al. Integrated multi-omics reveals different host crosstalk of atopic dermatitis-enriched Bifidobacterium longum Strains[J]. NPJ Biofilms Microbiomes, 2025, 11(1): 91. DOI: 10.1038/s41522-025-00714-w.
[17]	包燕妮, 黄丽健, 高木火, 等. 颈动脉彩超检查在健康体检中的价值及颈动脉异常的危险因素分析[J]. 现代医用影像学, 2024, 33(8): 1522-1525. DOI: 10.3969/j.issn.1006-7035.2024.08.038. Bao YN, Huang LJ, Gao MH, et al. The value of carotid color doppler ultrasound in health examination and analysis of risk factors for carotid artery abnormalities[J]. Modern Medical Imaging, 2024, 33(8): 1522-1525. DOI: 10.3969/j.issn.1006-7035.2024.08.038.
[18]	中国医师协会超声医师分会. 中国腹部超声检查指南[M]. 北京: 人民卫生出版社, 2022: 12-75. Chinese Medical Doctor Association, Society of Ultrasound Physicians. Guidelines for abdominal ultrasound examination in China[M]. Beijing: People's Medical Publishing House, 2022: 12-75.
[19]	Sreedher G, Ho ML, Smith M, et al. Magnetic resonance imaging quality control, quality assurance and quality improvement[J]. Pediatr Radiol. 2021;51(5): 698-708. DOI: 10.1007/s00247-021-05043-6.
[20]	许华宇. 多层螺旋CT胸部低剂量扫描发现肺结节的临床意义分析[J]. 中国医疗器械信息, 2021, 27(18): 110-111. DOI: 10.15971/j.cnki.cmdi.2021.18.052. Xu HY. Clinical significance analysis of pulmonary nodules detected by low-dose multislice spiral CT chest scanning[J]. China Medical Device Information, 2021, 27(18): 110-111. DOI: 10.15971/j.cnki.cmdi.2021.18.052.
[21]	Ma SY, Shungin D, Mallick H, et al. Population structure discovery in meta-analyzed microbial communities and inflammatory bowel disease using MMUPHin[J]. Genome Biol, 2022, 23(1): 208. DOI: 10.1186/s13059-022-02753-4.
[22]	Lee MD, Voight BF. Association of dietary preferences with cardiovascular disease: a Mendelian randomization study[J]. Atheroscler Plus, 2025, 60: 43-50. DOI: 10.1016/j.athplu.2025.04.002.
[23]	Srihi H, López-Carbonell D, Ibáñez-Escriche N, et al. A bayesian multivariate gametic model in a reciprocal cross with genomic information: an example with two Iberian varieties[J]. Animals (Basel), 2023, 13(10): 1648. DOI: 10.3390/ani13101648.
[24]	Xu YX, Liu LD, Zhu JY, et al. Alistipes indistinctus-derived hippuric acid promotes intestinal urate excretion to alleviate hyperuricemia[J]. Cell Host Microbe, 2024, 32(3): 366-381. e9. DOI: 10.1016/j.chom.2024.02.001.
[25]	Kuo PL, Schrack JA, Levine ME, et al. Longitudinal phenotypic aging metrics in the Baltimore longitudinal study of aging[J]. Nat Aging, 2022, 2(7): 635-643. DOI: 10.1038/s43587-022-00243-7.
[26]	Gao Y, Zhang H, Fang K, et al. The relationship between frailty, BMI, and mortality in older adults: results from the CLHLS[J]. BMC Geriatr, 2025, 25(1): 539. DOI: 10.1186/s12877-025-06197-w.
[27]	Xu LJ, Wang J, Li XW, et al. Physical activities, longevity gene, and all-cause mortality among older adults: a prospective community-based cohort study[J]. BMC Med, 2025, 23(1): 361. DOI: 10.1186/s12916-025-04176-x.