Evidence map›Paper›PMID 36737450›Full record

ArticleNature communications2023

Atlas of plasma NMR biomarkers for health and disease in 118,461 individuals from the UK Biobank.

Heli Julkunen, Anna Cichońska, Mika Tiainen, Harri Koskela, Kristian Nybo, Valtteri Mäkelä, Jussi Nokso-Koivisto, Kati Kristiansson, Markus Perola, Veikko Salomaa and 6 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 314 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
314citing papers in PubMed, 4 pooled it
75.6field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

314 citing papers in PubMed, 4 syntheses or guidelines pooled it, 487 citations in OpenAlex.

  1. The Impact of Omega Fatty Acids on DKD: A Multimodal Study Integrating Mendelian Randomization, Proteomic Mediation Analysis, and Meta-Analysis.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
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  11. Impact of matched samples on domain harmonization in cross-cohort NMR metabolomics.Metabolomics : Official journal of the Metabolomic Society · 2026
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  19. Explainable Plasma Proteomics-Based Machine Learning for Osteoporosis Diagnosis, Prognosis, and Protein Biomarker Discovery in the UK Biobank.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
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254 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors at 2 institutions in 2 countries.

Heli JulkunenNightingale Health Plc, Helsinki, Finland. Heli.julkunen@nightingalehealth.com.ORCID 0000-0002-4282-0248
Anna CichońskaNightingale Health Plc, Helsinki, Finland.
Mika TiainenNightingale Health Plc, Helsinki, Finland.
Harri KoskelaNightingale Health Plc, Helsinki, Finland.
Kristian NyboNightingale Health Plc, Helsinki, Finland.
Valtteri MäkeläNightingale Health Plc, Helsinki, Finland.
Jussi Nokso-KoivistoNightingale Health Plc, Helsinki, Finland.
Kati KristianssonDepartment of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland.ORCID 0000-0003-4688-107X
Markus PerolaDepartment of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland.
Veikko SalomaaDepartment of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland.ORCID 0000-0001-7563-5324
Pekka JousilahtiDepartment of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland.ORCID 0000-0001-7190-0979
Annamari LundqvistDepartment of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland.
Antti J KangasNightingale Health Plc, Helsinki, Finland.
Pasi SoininenNightingale Health Plc, Helsinki, Finland.
Jeffrey C BarrettNightingale Health Plc, Helsinki, Finland.
Peter WürtzNightingale Health Plc, Helsinki, Finland. Peter.wurtz@nightingalehealth.com.
Finnish Institute for Health and Welfare · FINightingales Medical Trust · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Blood lipids and metabolites are markers of current health and future disease risk. Here, we describe plasma nuclear magnetic resonance (NMR) biomarker data for 118,461 participants in the UK Biobank. The biomarkers cover 249 measures of lipoprotein lipids, fatty acids, and small molecules such as amino acids, ketones, and glycolysis metabolites. We provide an atlas of associations of these biomarkers to prevalence, incidence, and mortality of over 700 common diseases ( nightingalehealth.com/atlas ). The results reveal a plethora of biomarker associations, including susceptibility to infectious diseases and risk of various cancers, joint disorders, and mental health outcomes, indicating that abundant circulating lipids and metabolites are risk markers beyond cardiometabolic diseases. Clustering analyses indicate similar biomarker association patterns across different disease types, suggesting latent systemic connectivity in the susceptibility to a diverse set of diseases. This work highlights the value of NMR based metabolic biomarker profiling in large biobanks for public health research and translation.

Indexed as

Biological Specimen BanksLipidsBiomarkersHumansMagnetic Resonance SpectroscopyUnited KingdomBiomarkersLipids

Identifiers

PMID36737450
PMCPMC9898515
OpenAlexW4319072487

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.