Evidence map›Paper›PMID 29953415›Full record

ArticleThe Journal of clinical investigation2018

High-accuracy determination of internal circadian time from a single blood sample.

Nicole Wittenbrink, Bharath Ananthasubramaniam, Mirjam Münch, Barbara Koller, Bert Maier, Charlotte Weschke, Frederik Bes, Jan de Zeeuw, Claudia Nowozin, Amely Wahnschaffe and 10 more

2 registry-linked trialsAbstract readValidation Study
In one paragraph

Article in The Journal of clinical investigation, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 145 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
145citing papers in PubMed, 2 pooled it
–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.

NCT06246214 narecruitingnot on this mapstarted 2024, after this paper: background citation

Innovations in Biological Rhythms in the Context of Mental Health: Effectiveness of New Technologies and Exposure to Different Lighting Patterns in Women During the Postpartum Period

TypeinterventionalSponsorHospital de Clinicas de Porto AlegreRan2024 to 2027Enrolled150ConditionsDepression, Postpartum, Anxiety StateArmsBlue Light Therapy, ControlLT
NCT07661966 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

A Pilot Trial of Bright Light Therapy in Patients Receiving First Line Immune Checkpoint Blockade

TypeinterventionalSponsorWeill Medical College of Cornell UniversityRan2026 to 2027Enrolled12ConditionsMelanoma (Skin Cancer), NSCLC (Non-small Cell Lung Cancer)ArmsBright Light Therapy
3 · Its place in the literature

Who cites it

145 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  18. HairTime: A noninvasive assay for estimating circadian phase from a single hair sample.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  19. Review
  20. Research priorities to improve classification of sleep-wake disorders.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2026
    Review

85 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

20 authors.

Nicole WittenbrinkCharité Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Laboratory of Chronobiology, Berlin, Germany.
Bharath AnanthasubramaniamCharité Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Laboratory of Chronobiology, Berlin, Germany.
Mirjam MünchCharité Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Laboratory of Chronobiology, Berlin, Germany.
Barbara KollerCharité Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Laboratory of Chronobiology, Berlin, Germany.
Bert MaierCharité Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Laboratory of Chronobiology, Berlin, Germany.
Charlotte WeschkeCharité Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Laboratory of Chronobiology, Berlin, Germany.
Frederik BesSt-Hedwig-Krankenhaus, Clinic for Sleep and Chronomedicine, Berlin, Germany.
Jan de ZeeuwCharité Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Institute of Physiology, Group Sleep Research and Clinical Chronobiology, Berlin, Germany.
Claudia NowozinSt-Hedwig-Krankenhaus, Clinic for Sleep and Chronomedicine, Berlin, Germany.
Amely WahnschaffeSt-Hedwig-Krankenhaus, Clinic for Sleep and Chronomedicine, Berlin, Germany.
Sophia WisniewskiSt-Hedwig-Krankenhaus, Clinic for Sleep and Chronomedicine, Berlin, Germany.
Mandy ZaleskaIntellux Berlin GmbH, Berlin, Germany.
Osnat BartokThe Hebrew University, Biological Chemistry Department, Jerusalem, Israel.
Reut Ashwal-FlussThe Hebrew University, Biological Chemistry Department, Jerusalem, Israel.
Hedwig LammertCharité Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Institute of Pathology, Berlin, Germany.
Hanspeter HerzelHumboldt-Universität zu Berlin, Institute for Theoretical Biology, Berlin, Germany.
Michael HummelCharité Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Institute of Pathology, Berlin, Germany.
Sebastian KadenerThe Hebrew University, Biological Chemistry Department, Jerusalem, Israel.
Dieter KunzSt-Hedwig-Krankenhaus, Clinic for Sleep and Chronomedicine, Berlin, Germany.
Achim KramerCharité Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Laboratory of Chronobiology, Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe circadian clock is a fundamental and pervasive biological program that coordinates 24-hour rhythms in physiology, metabolism, and behavior, and it is essential to health. Whereas therapy adapted to time of day is increasingly reported to be highly successful, it needs to be personalized, since internal circadian time is different for each individual. In addition, internal time is not a stable trait, but is influenced by many factors, including genetic predisposition, age, sex, environmental light levels, and season. An easy and convenient diagnostic tool is currently missing.

methodsTo establish a validated test, we followed a 3-stage biomarker development strategy: (a) using circadian transcriptomics of blood monocytes from 12 individuals in a constant routine protocol combined with machine learning approaches, we identified biomarkers for internal time; and these biomarkers (b) were migrated to a clinically relevant gene expression profiling platform (NanoString) and (c) were externally validated using an independent study with 28 early or late chronotypes.

resultsWe developed a highly accurate and simple assay (BodyTime) to estimate the internal circadian time in humans from a single blood sample. Our assay needs only a small set of blood-based transcript biomarkers and is as accurate as the current gold standard method, dim-light melatonin onset, at smaller monetary, time, and sample-number cost.

conclusionThe BodyTime assay provides a new diagnostic tool for personalization of health care according to the patient's circadian clock.

fundingThis study was supported by the Bundesministerium für Bildung und Forschung, Germany (FKZ: 13N13160 and 13N13162) and Intellux GmbH, Germany.

Indexed as

AdultBiomarkersChronotherapyCircadian RhythmCohort StudiesGene Expression ProfilingGenetic MarkersHealthy VolunteersHumansMachine LearningMaleModels, BiologicalMonocytesPrecision MedicineTime FactorsYoung AdultBiomarkersGenetic MarkersBioinformaticsDiagnosticsGeneticsMolecular diagnosis

Identifiers

PMID29953415
PMCPMC6118629

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.