The multi-omics signatures of telomere length in childhood
Abstract Background Telomere length is an important indicator of biological age and a complex multi-factor trait. To date, the telomere interactome for comprehending the high-dimensional biological aspects linked to telomere regulation during childhood remains unexplored. Here we describe the multi-...
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2025-01-01
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| author | Congrong Wang Dries S. Martens Mariona Bustamante Rossella Alfano Michelle Plusquin Lea Maitre John Wright Rosemary R. C. McEachan Johanna Lepeule Remy Slama Marina Vafeiadi Leda Chatzi Regina Grazuleviciene Kristine B. Gutzkow Hector Keun Eva Borràs Eduard Sabidó Angel Carracedo Georgia Escarami Augusto Anguita-Ruiz Dolors Pelegrí-Sisó Juan R. Gonzalez Martine Vrijheid Tim S. Nawrot |
| author_facet | Congrong Wang Dries S. Martens Mariona Bustamante Rossella Alfano Michelle Plusquin Lea Maitre John Wright Rosemary R. C. McEachan Johanna Lepeule Remy Slama Marina Vafeiadi Leda Chatzi Regina Grazuleviciene Kristine B. Gutzkow Hector Keun Eva Borràs Eduard Sabidó Angel Carracedo Georgia Escarami Augusto Anguita-Ruiz Dolors Pelegrí-Sisó Juan R. Gonzalez Martine Vrijheid Tim S. Nawrot |
| author_sort | Congrong Wang |
| collection | DOAJ |
| description | Abstract Background Telomere length is an important indicator of biological age and a complex multi-factor trait. To date, the telomere interactome for comprehending the high-dimensional biological aspects linked to telomere regulation during childhood remains unexplored. Here we describe the multi-omics signatures associated with childhood telomere length. Methods This study included 1001 children aged 6 to 11 years from the Human Early-life Exposome (HELIX) project. Telomere length was quantified via qPCR in peripheral blood of the children. Blood DNA methylation, gene expression, miRNA expression, plasma proteins and serum and urinary metabolites were measured through microarrays or (semi-) targeted assays. The association between each individual omics feature and telomere length was assessed in omics-wide association analyses. In addition, a literature-guided, sparse supervised integration method was applied to multiple omics, and latent components were extracted as predictors of child telomere length. The association of these latent components with early-life aging risk factors (child lifestyle, body mass index (BMI), exposure to smoking, etc.), were interrogated. Results After multiple-testing correction, only two CpGs (cg23686403 and cg16238918 at PARD6G gene) out of all the omics features were significantly associated with child telomere length. The supervised multi-omics integration approach revealed robust associations between latent components and child BMI, with metabolites and proteins emerging as the primary contributing features. In these latent components, the contributing molecular features were known as involved in metabolism and immune regulation-related pathways. Conclusions Findings of this multi-omics study suggested an intricate interplay between telomere length, metabolism and immune responses, providing valuable insights into the molecular underpinnings of the early-life biological aging. |
| format | Article |
| id | doaj-art-77326e3e499f4514ae8b6adc1344c593 |
| institution | Kabale University |
| issn | 1471-2164 |
| language | English |
| publishDate | 2025-01-01 |
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| spelling | doaj-art-77326e3e499f4514ae8b6adc1344c5932025-02-02T12:10:16ZengBMCBMC Genomics1471-21642025-01-0126111810.1186/s12864-025-11209-5The multi-omics signatures of telomere length in childhoodCongrong Wang0Dries S. Martens1Mariona Bustamante2Rossella Alfano3Michelle Plusquin4Lea Maitre5John Wright6Rosemary R. C. McEachan7Johanna Lepeule8Remy Slama9Marina Vafeiadi10Leda Chatzi11Regina Grazuleviciene12Kristine B. Gutzkow13Hector Keun14Eva Borràs15Eduard Sabidó16Angel Carracedo17Georgia Escarami18Augusto Anguita-Ruiz19Dolors Pelegrí-Sisó20Juan R. Gonzalez21Martine Vrijheid22Tim S. Nawrot23Centre for Environmental Health, Hasselt UniversityCentre for Environmental Health, Hasselt UniversityISGlobal, Institute for Global HealthCentre for Environmental Health, Hasselt UniversityCentre for Environmental Health, Hasselt UniversityISGlobal, Institute for Global HealthBradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation TrustBradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation TrustUniversity Grenoble Alpes, Inserm U 1209, CNRS UMR 5309, Team of Environmental Epidemiology applied to Development and Respiratory Health, Institute for Advanced BiosciencesTeam of Environmental Epidemiology applied to Reproduction and Respiratory Health, Institute for Advanced Biosciences (IAB), Inserm, CNRS, Université Grenoble AlpesDepartment of Social Medicine, Faculty of Medicine, University of CreteDepartment of Population and Public Health Sciences, University of Southern CaliforniaDepartment of Environmental Sciences, Vytautas Magnus UniversityDivision of Climate and Environmental Health, Norwegian Institute of Public HealthDivision of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College LondonUniversitat Pompeu Fabra (UPF)Universitat Pompeu Fabra (UPF)Medicine Genomics Group, Centro de Investigación Biomédica en Red Enfermedades Raras (CIBERER-ISCIII), University of Santiago de Compostela, CIMUSCIBER in Epidemiology and Public Health (CIBERESP)ISGlobal, Institute for Global HealthISGlobal, Institute for Global HealthISGlobal, Institute for Global HealthISGlobal, Institute for Global HealthCentre for Environmental Health, Hasselt UniversityAbstract Background Telomere length is an important indicator of biological age and a complex multi-factor trait. To date, the telomere interactome for comprehending the high-dimensional biological aspects linked to telomere regulation during childhood remains unexplored. Here we describe the multi-omics signatures associated with childhood telomere length. Methods This study included 1001 children aged 6 to 11 years from the Human Early-life Exposome (HELIX) project. Telomere length was quantified via qPCR in peripheral blood of the children. Blood DNA methylation, gene expression, miRNA expression, plasma proteins and serum and urinary metabolites were measured through microarrays or (semi-) targeted assays. The association between each individual omics feature and telomere length was assessed in omics-wide association analyses. In addition, a literature-guided, sparse supervised integration method was applied to multiple omics, and latent components were extracted as predictors of child telomere length. The association of these latent components with early-life aging risk factors (child lifestyle, body mass index (BMI), exposure to smoking, etc.), were interrogated. Results After multiple-testing correction, only two CpGs (cg23686403 and cg16238918 at PARD6G gene) out of all the omics features were significantly associated with child telomere length. The supervised multi-omics integration approach revealed robust associations between latent components and child BMI, with metabolites and proteins emerging as the primary contributing features. In these latent components, the contributing molecular features were known as involved in metabolism and immune regulation-related pathways. Conclusions Findings of this multi-omics study suggested an intricate interplay between telomere length, metabolism and immune responses, providing valuable insights into the molecular underpinnings of the early-life biological aging.https://doi.org/10.1186/s12864-025-11209-5Telomere lengthBiological agingEarly-lifeMulti-omics |
| spellingShingle | Congrong Wang Dries S. Martens Mariona Bustamante Rossella Alfano Michelle Plusquin Lea Maitre John Wright Rosemary R. C. McEachan Johanna Lepeule Remy Slama Marina Vafeiadi Leda Chatzi Regina Grazuleviciene Kristine B. Gutzkow Hector Keun Eva Borràs Eduard Sabidó Angel Carracedo Georgia Escarami Augusto Anguita-Ruiz Dolors Pelegrí-Sisó Juan R. Gonzalez Martine Vrijheid Tim S. Nawrot The multi-omics signatures of telomere length in childhood BMC Genomics Telomere length Biological aging Early-life Multi-omics |
| title | The multi-omics signatures of telomere length in childhood |
| title_full | The multi-omics signatures of telomere length in childhood |
| title_fullStr | The multi-omics signatures of telomere length in childhood |
| title_full_unstemmed | The multi-omics signatures of telomere length in childhood |
| title_short | The multi-omics signatures of telomere length in childhood |
| title_sort | multi omics signatures of telomere length in childhood |
| topic | Telomere length Biological aging Early-life Multi-omics |
| url | https://doi.org/10.1186/s12864-025-11209-5 |
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