Evidence map›Paper›PMID 41291190›Full record

ArticleCommunications biology2025

Metabolomic and lipidomic atlas of human hair across its length.

Maria van de Lavoir, Yuanye Chi, Ting Zeng, Rani Robeyns, Maria Del Mar Delgado Povedano, Leen Jacobs, Celine Gys, Hugo Neels, Shuzhao Li, Alexander L N van Nuijs and 1 more

Abstract read
In one paragraph

Article in Communications biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Maria van de LavoirToxicological Centre, Department of Pharmaceutical Sciences, University of Antwerp, Antwerp, Belgium.ORCID http://orcid.org/0000-0001-7316-3319
Yuanye ChiJackson Laboratory for Genomic Medicine, Farmington, CT, USA.ORCID http://orcid.org/0009-0001-2139-8172
Ting ZengToxicological Centre, Department of Pharmaceutical Sciences, University of Antwerp, Antwerp, Belgium.ORCID http://orcid.org/0009-0007-3938-5816
Rani RobeynsToxicological Centre, Department of Pharmaceutical Sciences, University of Antwerp, Antwerp, Belgium.ORCID http://orcid.org/0000-0002-3695-3490
Maria Del Mar Delgado PovedanoToxicological Centre, Department of Pharmaceutical Sciences, University of Antwerp, Antwerp, Belgium.ORCID http://orcid.org/0000-0001-8589-0812
Leen JacobsToxicological Centre, Department of Pharmaceutical Sciences, University of Antwerp, Antwerp, Belgium.ORCID http://orcid.org/0009-0001-6624-3799
Celine GysToxicological Centre, Department of Pharmaceutical Sciences, University of Antwerp, Antwerp, Belgium.ORCID http://orcid.org/0000-0002-0076-3185
Hugo NeelsToxicological Centre, Department of Pharmaceutical Sciences, University of Antwerp, Antwerp, Belgium.ORCID http://orcid.org/0000-0002-9034-168X
Shuzhao LiJackson Laboratory for Genomic Medicine, Farmington, CT, USA.ORCID http://orcid.org/0000-0002-7386-2539
Alexander L N van NuijsToxicological Centre, Department of Pharmaceutical Sciences, University of Antwerp, Antwerp, Belgium.ORCID http://orcid.org/0000-0002-9377-6160
Adrian CovaciToxicological Centre, Department of Pharmaceutical Sciences, University of Antwerp, Antwerp, Belgium. adrian.covaci@uantwerpen.be.ORCID http://orcid.org/0000-0003-0527-1136

Funding

TBDR01AI149746 · NIAID · JACKSON LABORATORY · PI LI, SHUZHAO · 2020 to 2024
$2.6M
Fonds Wetenschappelijk Onderzoek (Research Foundation Flanders) 1120623NNational Natural Science Foundation of China (National Science Foundation of China) G0E5622NNIAID NIH HHS R01 AI149746Universiteit Antwerpen (University of Antwerp) Antigoon-46315Universiteit Antwerpen (University of Antwerp) Antigoon-51204U.S. Department of Health & Human Services | NIH | Center for Information Technology (Center for Information Technology, National Institutes of Health) R01AI149746
6 · The paper itself

Abstract

The stable structure and growth cycle of human hair enables the accumulation of both endogenous and exogenous compounds, making hair an ideal matrix for long-term profiling. However, its exact molecular composition, shaped by root-to-tip variations, remains poorly understood. Here, we present a metabolome and lipidome atlas of human hair originating from a healthy cohort. The Human Hair Atlas maps over 1200 unique molecular species and highlights compounds prone to significant longitudinal variations. Metabolite and lipid levels vary by up to 50% along the length of the hair, underscoring the importance of accounting for segmental differences. We categorized 122 molecules as exposome-related compounds, primarily from personal care products, facilitating biological interpretation. The Human Hair Atlas is publicly accessible ( https://metabolomics.cloud/hair/ ), providing a resource to stimulate research in hair metabolomics, lipidomics, and exposomics, and to explore the potential of hair as a complementary matrix in clinical studies.

Indexed as

HairLipidomicsLipidsMetabolomeMetabolomicsAdultFemaleHumansLipid MetabolismMaleLipids

Identifiers

PMID41291190
PMCPMC12647130

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.