Observational studyNature communications2020
Integration of molecular profiles in a longitudinal wellness profiling cohort.
Observational study in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
65 citing papers in PubMed.
- Temporal dynamics of gut biosynthetic gene clusters link persistent colonization and engraftment in fecal microbiota transplantation.Gut microbes · 2026Article
- Genetic drivers of protein changes over time: Findings, considerations, and approaches in TOPMed cohorts and UK Biobank.bioRxiv : the preprint server for biology · 2026Article
- ExposoGenomics: integrating genome and exposome as jointly dynamic systems for causal discovery and precision health.Human genomics · 2026Review
- Salivary Microvesicle Methylome and Microbiome Profiles in Periodontitis: An Exploratory Study.Journal of clinical periodontology · 2026Article
- Long-term temporal stability of circulating proteins in older adults.Nature communications · 2026Article
- Exploration of immune phenotypes in self-sampling citizens.iScience · 2026Article
- Longitudinal omics data analysis: approaches and applications.Computational and structural biotechnology journal · 2026Review
- HUBMet: an integrative database and analytical platform for human blood metabolites and metabolite-protein associations.Genome biology · 2025Article
- Multiclass Assays for Measuring Environmental Chemical Mixture Exposure: Analytical Methodologies and Applications in Exposomics Research.Metabolites · 2025Review
- Long-term temporal stability of circulating proteins in older adults.bioRxiv : the preprint server for biology · 2025Article
- Longitudinal big biological data in the AI era.Molecular systems biology · 2025Review
- Longitudinal analysis of genetic and environmental interplay in human metabolic profiles and the implication for metabolic health.Genome medicine · 2025Article
- Article
- Examining the healthy human microbiome concept.Nature reviews. Microbiology · 2025Review
- Genome-scale models in human metabologenomics.Nature reviews. Genetics · 2025Review
- Leveraging human microbiomes for disease prediction and treatment.Trends in pharmacological sciences · 2025Article
- Cohort profile: The Belgian I AM frontier prospective cohort study for comprehensive health outcome exploration.PloS one · 2025Article
- The Circulating Proteome─Technological Developments, Current Challenges, and Future Trends.Journal of proteome research · 2024Article
- Bridging the Gap From Proteomics Technology to Clinical Application: Highlights From the 68th Benzon Foundation Symposium.Molecular & cellular proteomics : MCP · 2024Article
- Why PNI scientists need to engage in exploratory hypothesis-generating biomarker studies.Brain, behavior, & immunity - health · 2024Article
5 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
38 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
An important aspect of precision medicine is to probe the stability in molecular profiles among healthy individuals over time. Here, we sample a longitudinal wellness cohort with 100 healthy individuals and analyze blood molecular profiles including proteomics, transcriptomics, lipidomics, metabolomics, autoantibodies and immune cell profiling, complemented with gut microbiota composition and routine clinical chemistry. Overall, our results show high variation between individuals across different molecular readouts, while the intra-individual baseline variation is low. The analyses show that each individual has a unique and stable plasma protein profile throughout the study period and that many individuals also show distinct profiles with regards to the other omics datasets, with strong underlying connections between the blood proteome and the clinical chemistry parameters. In conclusion, the results support an individual-based definition of health and show that comprehensive omics profiling in a longitudinal manner is a path forward for precision medicine.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.