The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index.
Effect of sleep deprivation on the human metabolome
Open accessAbstract
Significance: Sleep restriction and circadian clock disruption are associated with metabolic disorders including obesity and diabetes; this association can be studied by using the powerful tool of metabolomics. By using liquid chromatography/MS metabolomics, we have characterized plasma metabolites that were significantly affected by acute sleep deprivation (mainly lipids and acylcarnitines), all increasing during sleep deprivation. Observed increased levels of serotonin, tryptophan, and taurine may explain the antidepressive effect of sleep deprivation and deserve further study. Clear daily rhythms were observed in most metabolites, with 24 h wakefulness mainly reducing the amplitude of these rhythms. Our results further the understanding of sleep/wake regulation and the associated metabolic processes, and will be vital when using metabolic profiling to identify robust biomarkers for disease states and drug efficacy.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“In the acute SR study22, only increases in lipid levels were observed after the deprivation period, while in the partial SR study23 also declines were recorded.”
From Prolonged sleep restriction induces changes in pathways involved in cholesterol metabolism and inflammatory responses (2016) · cites this paper as [22]
In the citing paper
“these three independent studies point out that restriction of sleep, either acutely or partially for a longer period, significantly affects serum lipid levels, as measured using mass spectrometry.”
From Prolonged sleep restriction induces changes in pathways involved in cholesterol metabolism and inflammatory responses (2016) · cites this paper as [22]
In the citing paper
“In both studies, the majority of the altered, identified species, consisted of lipid species (including phospholipids, sphingolipids, acylcarnitides and phosphatidylcholines).”
From Prolonged sleep restriction induces changes in pathways involved in cholesterol metabolism and inflammatory responses (2016) · cites this paper as [22]
In the citing paper
“Two recent studies have measured lipid profiles in human blood samples using mass spectrometry analysis after polar and non-polar extraction of the samples after a short term (24 h) total sleep restriction22 and a partial sleep restriction for five days23.”
From Prolonged sleep restriction induces changes in pathways involved in cholesterol metabolism and inflammatory responses (2016) · cites this paper as [22]
In the citing paper
“Recent work indicates that total sleep deprivation induces a measurable perturbation to the blood metabolome (19)”
From Oxalic acid and diacylglycerol 36:3 are cross-species markers of sleep debt (2015) · cites this paper as [19]
In the citing paper
“Trp is a major precursor for serotonin and melatonin and is elevated under acute total sleep deprivation (19).”
From Oxalic acid and diacylglycerol 36:3 are cross-species markers of sleep debt (2015) · cites this paper as [19]
In the citing paper
“Twelve of these were common between the two studies, including PCs (32:1, 36:6, 38:4, 38:2, 38:3), lysoPCs (14:0, 16:1, 17:0), and acylcarnitines (C5:0, C10:0, C12:0).”
From Oxalic acid and diacylglycerol 36:3 are cross-species markers of sleep debt (2015) · cites this paper as [19]
In the citing paper
“In both studies, Trp was also elevated.”
From Oxalic acid and diacylglycerol 36:3 are cross-species markers of sleep debt (2015) · cites this paper as [19]
In the citing paper
“All of the above-mentioned metabolites were elevated in the acute sleep deprivation study.”
From Oxalic acid and diacylglycerol 36:3 are cross-species markers of sleep debt (2015) · cites this paper as [19]
In the citing paper
“The study of Davies et al. (19) identified metabolites that increased but found none that decreased under total sleep deprivation.”
From Oxalic acid and diacylglycerol 36:3 are cross-species markers of sleep debt (2015) · cites this paper as [19]
In the citing paper
“Here we have identified decreases in a number metabolites as a function of SR, which were not part of the analytical platform used in the Davies et al. study (19).”
From Oxalic acid and diacylglycerol 36:3 are cross-species markers of sleep debt (2015) · cites this paper as [19]
In the citing paper
“In addition to these mouse studies, human metabolome analyses also reveal that up to 20% of detectable metabolites in matrices such as plasma and saliva exhibit daily rhythms (44)(45)(46).”
From Circadian rhythms, metabolism, and chrononutrition in rodents and humans (2016) · cites this paper as [46]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The Chronic Fatigue Syndrome: A Comprehensive Approach to Its Definition and Study
Fukuda, K., Straus, S. E., Hickie, I., Sharpe, M. C., Dobbins, J. G., Komaroff, A., & and International Chronic Fatigue Syndrome Study Group. (1994) · Annals of Internal Medicine · doi:10.7326/0003-4819-121-12-199412150-00009 · Cited by 4,969 · cited 1×
“Similarly low serum acylcarnitine levels have been measured in patients with chronic fatigue syndrome (46), another condition with reported sleep problems (47), and L-carnitine administration has also shown some benefit in reducing fatigue (48).”
BackgroundTwo-Process Model of Sleep Regulation
Binder, M. D., Hirokawa, N., & Windhorst, U. (2008) · Springer eBooks · doi:10.1007/978-3-540-29678-2_6166 · Cited by 3,900
Adverse metabolic and cardiovascular consequences of circadian misalignment
Scheer, F. A. J. L., Hilton, M. F., Mantzoros, C. S., & Shea, S. A. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0808180106 · Cited by 2,351
Central and Peripheral Circadian Clocks in Mammals
Mohawk, J. A., Green, C. B., & Takahashi, J. S. (2012) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-060909-153128 · Cited by 2,265
Cappuccio, F. P., Cooper, D., D'Elia, L., Strazzullo, P., & Miller, M. A. (2011) · European Heart Journal · doi:10.1093/eurheartj/ehr007 · Cited by 2,146
Circadian integration of metabolism and energetics
Bass, J., & Takahashi, J. S. (2010) · Science · doi:10.1126/science.1195027 · Cited by 1,910
Sleep loss: a novel risk factor for insulin resistance and type 2 diabetes
Spiegel, K., Knutson, K., Leproult, R., Tasali, E., & Cauter, E. V. (2005) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00660.2005 · Cited by 1,175
A functional genomics strategy that uses metabolome data to reveal the phenotype of silent mutations
Raamsdonk, L. M., Teusink, B., Broadhurst, D., Zhang, N., Hayes, A., Walsh, M. C., BERDEN, J. A., Brindle, K. M., Kell, D. B., Rowland, J. J., et al. (2001) · Nature Biotechnology · doi:10.1038/83496 · Cited by 1,021
Green, C. B., Takahashi, J. S., & Bass, J. (2008) · Cell · doi:10.1016/j.cell.2008.08.022 · Cited by 902
Metabolic Phenotyping in Health and Disease
Holmes, E. C., Wilson, I. D., & Nicholson, J. K. (2008) · Cell · doi:10.1016/j.cell.2008.08.026 · Cited by 846
Research works printed but not linked: 1
- 10.1002/1520-6394(2000)12:1 <2::AID-DA2>3.0.CO;2-4 · DOI
Cited by
Sorted by citations
Items 301–400 of 537
Sleep deprivation and aging are metabolically linked across tissues
Sengupta, A., Tudor, J. C., Cusmano, D. M., Baur, J. A., Abel, T. G., & Weljie, A. M. (2023) · SLEEP · doi:10.1093/sleep/zsad246 · Cited by 9
Daniels, M., Margolis, L. M., Rood, J. C., Lieberman, H. R., Pasiakos, S. M., & Karl, J. P. (2024) · Physiological Genomics · doi:10.1152/physiolgenomics.00008.2024 · Cited by 9
Sleep Deficiency and Cardiometabolic Disease
Killick, R., Stranks, L., & Hoyos, C. M. (2024) · Sleep Medicine Clinics · doi:10.1016/j.jsmc.2024.07.011 · Cited by 10
Sarawi, W. S. (2025) · Molecular Neurobiology · doi:10.1007/s12035-025-05210-y · Cited by 12
Sleep Deprivation and Its Impact on Insulin Resistance
Pinheiro, M. C., Costa, H. E., Mariana, M., & Cairrão, E. (2025) · Endocrines · doi:10.3390/endocrines6040049 · Cited by 9
Takamino, A., Kotoda, M., Nakadate, Y., Hishiyama, S., Iijima, T., & Matsukawa, T. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.821425 · Cited by 10
Kim, S., Choi, S., Lee, M. S., Kim, M., Park, M., Han, S., Han, S., Lee, H. S., & Lee, S. (2022) · Frontiers in Pharmacology · doi:10.3389/fphar.2022.853971 · Cited by 10
Gombert, M., Reisdorph, N. A., Morton, S. J., Wright, K. P., & Depner, C. M. (2023) · Scientific Reports · doi:10.1038/s41598-023-48208-z · Cited by 9
Progress in the study of the effects of electromagnetic radiation on the mood and rhythm
Zou, D.-F., Li, Z., Liu, Y.-B., & Wang, C. (2025) · Electromagnetic Biology and Medicine · doi:10.1080/15368378.2025.2460971 · Cited by 9
Prolonged Waking and Recovery Sleep Affect the Serum MicroRNA Expression Profile in Humans
Weigend, S., Holst, S. C., Meier, J., Brock, M., Kohler, M., & Landolt, H. (2018) · Clocks & Sleep · doi:10.3390/clockssleep1010008 · Cited by 9
Neurobiological Basis of Childhood Trauma and the Risk for Neurological Deficits Later in Life
Assogna, F., Piras, F., & Spalletta, G. (2020) · Springer eBooks · doi:10.1007/978-3-030-49414-8_18 · Cited by 11
Novel Augmentation Strategies in Major Depression.
Martiny, K. (2017) · PubMed · Cited by 9
Nagy, A. U., & Szabó, I. K. (2020) · Mentálhigiéné és Pszichoszomatika · doi:10.1556/0406.21.2020.008 · Cited by 11
Liu, J., Xu, Y., Ji, Y., Li, K., Wang, S., Zhao, B., Ruan, J., Foulkes, N. S., Zhang, S., & Zhao, H. (2023) · The Innovation Life · doi:10.59717/j.xinn-life.2023.100037 · Cited by 8
Daily rhythm in DNA methylation and the effect of total sleep deprivation
Ämmälä, A., Hancox, T. P. M., Qiuyu, F., Lahtinen, A., Sulkava, S., Revell, V. L., Ackermann, K., Kayser, M., Skene, D. J., & Paunio, T. (2024) · Journal of Sleep Research · doi:10.1111/jsr.14438 · Cited by 8
Self-citationChronodisruption and Gut Microbiota: Triggering Glycemic Imbalance in People with Type 2 Diabetes
Moreno-Cortés, M. L., Meza, E., García-Mena, J., & Hernández-Rodríguez, A. (2024) · Nutrients · doi:10.3390/nu16050616 · Cited by 8
Metabolic biomarkers in irritable bowel syndrome diagnosis
Vakili, O., Sedeh, P. A., & Pourfarzam, M. (2024) · Clinica Chimica Acta · doi:10.1016/j.cca.2024.119753 · Cited by 8
Wu, P., Wang, W., Huang, C., Sun, L., Wu, X., Xu, L., & Xiao, P. (2024) · Analytica Chimica Acta · doi:10.1016/j.aca.2024.343125 · Cited by 10
The influence of shift work on metabolic health
Tsvetkova, E. S., Romantsova, T. I., Евгеньевна, Р. Г., Сергеевич, Б. Н., & Goldshmid, A. E. G. (2019) · Obesity and metabolism · doi:10.14341/omet10015 · Cited by 9
Telling biological time from a blood sample: current capabilities and future potential
von Schantz, M., & Skene, D. J. (2015) · Annals of Clinical Biochemistry International Journal of Laboratory Medicine · doi:10.1177/0004563215597943 · Cited by 8
Self-citationThe influence of neuronal electrical activity on the mammalian central clock metabolome
Buijink, M. R., van Weeghel, M., Gülersönmez, M. C., Harms, A. C., Rohling, J. H. T., Meijer, J. H., Hankemeier, T., & Michel, S. H. (2018) · Metabolomics · doi:10.1007/s11306-018-1423-z · Cited by 8
Williams, A. B., Smith, E. R., Trujillo, M. A., Perrin, P. B., Griffin, S. C., & Rybarczyk, B. D. (2018) · Journal of Clinical Psychology · doi:10.1002/jclp.22694 · Cited by 10
Wolkow, A. P., Rajaratnam, S. M. W., Anderson, C., Howard, M. E., & Mansfield, D. R. (2019) · Internal Medicine Journal · doi:10.1111/imj.14423 · Cited by 8
Associação entre privação do sono e obesidade em trabalhadores
Benvegnú, L., Maffessoni, M., Fernandes, S. P., & Canuto, R. (2016) · Scientia Medica · doi:10.15448/1980-6108.2016.2.23218 · Cited by 8
Metabolomics of postprandial plasma alterations: a comprehensive Japanese study
Moriya, T., Satomi, Y., & Kobayashi, H. (2017) · The Journal of Biochemistry · doi:10.1093/jb/mvx066 · Cited by 8
Scholz, M., Lakaemper, S., Keller, K., Dobay, A., Steuer, A. E., Landolt, H., & Kræmer, T. (2023) · Trials · doi:10.1186/s13063-023-07154-x · Cited by 7
Yong, Y. N., Dong, J., Pakkiri, L. S., Henry, C. J., Haldar, S., & Drum, C. L. (2023) · Metabolites · doi:10.3390/metabo13040490 · Cited by 7
Sleep Promotion by 3-Hydroxy-4-Iminobutyric Acid in Walnut Diaphragma juglandis Fructus
Ji, J., Ye, Y., Sheng, L., Sun, J., Hong, Q., Liu, C., Ding, J., Geng, S., Xu, D., Zhang, Y., et al. (2023) · Research · doi:10.34133/research.0216 · Cited by 7
Castillo-Peinado, L. S., Calderón-Santiago, M., Gámez, B. J., & Priego‐Capote, F. (2023) · Journal of Sleep Research · doi:10.1111/jsr.14075 · Cited by 7
Effect of age on metabolomic changes in a model of paclitaxel‐induced peripheral neurotoxicity
Bonomo, R., Canta, A., Chiorazzi, A., Carozzi, V., Meregalli, C., Pozzi, E., Alberti, P., Frampas, C., van der Veen, D. R., Marmiroli, P., et al. (2023) · Journal of the Peripheral Nervous System · doi:10.1111/jns.12609 · Cited by 8
Self-citationScholz, M., Steuer, A. E., Dobay, A., Landolt, H., & Kræmer, T. (2024) · Metabolomics · doi:10.1007/s11306-024-02158-3 · Cited by 8
Spick, M. P., Isherwood, C., Gethings, L. A., Hughes, C. J., Daly, M. E., Hassanin, H., van der Veen, D. R., Skene, D. J., & Johnston, J. D. (2025) · npj Biological Timing and Sleep · doi:10.1038/s44323-024-00020-2 · Cited by 7
Self-citationSleep health: an unappreciated key player in colorectal cancer
Liu, J., Yuan, Q., Zhang, Y., Wang, X., Zhai, L., Wang, R., Zheng, C., & Hong, Z. (2025) · Journal of Cancer · doi:10.7150/jca.107117 · Cited by 7
Masanneck, L., Voth, J., Huntemann, N., Öztürk, M., Schroeter, C. B., Ruck, T., Meuth, S. G., & Pawlitzki, M. (2023) · Neurological Research and Practice · doi:10.1186/s42466-023-00267-3 · Cited by 7
Metabolomics of sleep disorders in HIV: a narrative review
Balthazar, M. S., Diallo, I., & Pak, V. M. (2020) · Sleep And Breathing · doi:10.1007/s11325-019-01993-2 · Cited by 7
Tokarz, J., & Adamski, J. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-812784-1.00002-5 · Cited by 7
Semenova, N. V., Михайловна, М. И., Kolesnikov, S. I., Solodova, E., & Колесникова, Л. И. (2018) · Neuropsychiatry · doi:10.4172/neuropsychiatry.1000477 · Cited by 7
To sleep: perchance to ditch the ventilator
Younes, M. K. (2018) · European Respiratory Journal · doi:10.1183/13993003.00624-2018 · Cited by 7
Glial metabolism versatility regulates mushroom body–driven behavioral output inDrosophilaPreprint
Basu, R., Préat, T., & Plaçais, P.-Y. (2024) · Learning & Memory · doi:10.1101/lm.053823.123 · Cited by 7
Fiorin, F. D. S., Godinho, D. B., dos Santos, E. B., Aguiar, A. S., Schuch, F. B., de Mello, M. T., Radak, Z. O., Fighera, M. R., & Royes, L. F. F. (2025) · Experimental Neurology · doi:10.1016/j.expneurol.2025.115156 · Cited by 7
Ungur, A. P., Socaciu, A. I., Bârsan, M., Râjnoveanu, A. G., Ionuţ, R., Socaciu, C., & Procopciuc, L. M. (2025) · Metabolites · doi:10.3390/metabo15040273 · Cited by 6
Zhen, Y., Rahmat, A., Zhang, C., Lin, J., Ma, J., Zhong, Y., & Wang, M. (2025) · mSystems · doi:10.1128/msystems.00116-25 · Cited by 6
Ungur, A. P., Socaciu, A. I., Bârsan, M., Râjnoveanu, A. G., Ionuţ, R., Socaciu, C., & Procopciuc, L. M. (2025) · Clocks & Sleep · doi:10.3390/clockssleep7030036 · Cited by 6
Treatment of Insomnia with Zaleplon in HIV+ Significantly Improves Sleep and Depression
Goldschmied, J., Sengupta, A., Sharma, A. K., Taylor, L. M., Morales, K. H., Thase, M. E., Thase, M. E., Weljie, A., & Kayser, M. S. (2025) · Psychopharmacology Bulletin · doi:10.64719/pb.4409 · Cited by 6
Self-citationSoliz‐Rueda, J. R., López‐Fernández‐Sobrino, R., Torres‐Fuentes, C., Bravo, F. I., Suárez, M., Mulero, M., & Muguerza, B. (2023) · Food & Function · doi:10.1039/d3fo00260h · Cited by 6
Yan, H., Li, G., Zhang, X., Zhang, C., Li, M., Qiu, Y., Sun, W., Dong, Y., Li, S., & Li, J. (2024) · BMC Psychiatry · doi:10.1186/s12888-024-05805-0 · Cited by 6
Human serum proteomics reveals a molecular signature after one night of sleep deprivation
Bjørkum, A. A., Griebel, L., & Birkeland, E. (2024) · SLEEP Advances · doi:10.1093/sleepadvances/zpae042 · Cited by 6
Arora, S., Houdek, P., Čajka, T., Dočkal, T., Sládek, M., & Sumová, A. (2025) · Acta Physiologica · doi:10.1111/apha.14278 · Cited by 6
Li, Y., Jiang, Y., Wang, D., Sun, M., Liu, Y., Wang, L., & Li, C. (2022) · Current Pharmaceutical Design · doi:10.2174/1381612829666221222115134 · Cited by 6
Circadian Lipidomics: Analysis of Lipid Metabolites Around the Clock
Loizides‐Mangold, U., Petrenko, V., & Dibner, C. (2020) · Methods in molecular biology · doi:10.1007/978-1-0716-0381-9_13 · Cited by 6
Athersuch, T. J. (2018) · Springer eBooks · doi:10.1007/978-3-319-89321-1_6 · Cited by 7
Psomas, A., Chowdhury, N. R., Middleton, B., Winsky‐Sommerer, R., Skene, D. J., Gerkema, M. P., & van der Veen, D. R. (2023) · The FASEB Journal · doi:10.1096/fj.202201585r · Cited by 6
Self-citationTraining in Systems Approaches for the Next Generation of Life Scientists and Medical Doctors
Rozman, D., Ačimovič, J., & Schmeck, B. (2015) · Methods in molecular biology · doi:10.1007/978-1-4939-3283-2_5 · Cited by 6
Sutay, S. S., Sheikh, N. A., Rath, R. S., & Vasudeva, A. (2022) · MAEDICA – a Journal of Clinical Medicine · doi:10.26574/maedica.2022.17.1.97 · Cited by 6
Sleep deprivation alters hepatic UGT1A9 and propofol metabolism in mice
Yan, Z., Ha, L., Chen, H., Xiao, Y., Chen, M., Wu, B., Xu, H., & Dong, D. (2024) · Biochemical Pharmacology · doi:10.1016/j.bcp.2024.116713 · Cited by 5
Bhattacharjee, A., & Chakraborty, A. (2025) · Chronobiology International · doi:10.1080/07420528.2025.2511259 · Cited by 5
Ukraintseva, Y. V., & Liaukovich, K. M. (2022) · S S Korsakov Journal of Neurology and Psychiatry · doi:10.17116/jnevro202212205211 · Cited by 5
Melatonin in Tuberous Sclerosis Complex Analysis Using Modern Mathematical Modeling Methods
Paprocka, J., Kijonka, M., Boguszewicz, Ł., & Sokol, M. B. (2017) · International Journal of Endocrinology · doi:10.1155/2017/8234502 · Cited by 5
Promote Biomarker Discovery by Identifying Homogenous Primary Headache Subgroups
Frederiksen, S. (2019) · Headache The Journal of Head and Face Pain · doi:10.1111/head.13499 · Cited by 5
Liu, C., Wang, C., Jiang, J., Yang, B. K., Nan, L., Zhang, Y., Zhu, K., Wang, X., Feng, X., Lian, X., et al. (2025) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2024.1436171 · Cited by 4
Chen, T., Jia, J., Gao, C., Zhong, Q., Tang, L., Sui, X., Li, S., Chen, C., & Zhang, Z. (2025) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2025.111397 · Cited by 4
Analysis of factors influencing sleep disorders in patients with amyotrophic lateral sclerosis
Jiang, Q., Yang, D., Jiang, R., Wan, S., Wu, M., Xu, D., & Zhou, J. W. (2025) · Scientific Reports · doi:10.1038/s41598-025-20100-y · Cited by 4
Zhang, L., Yeung, C. H. C., Lee, K. A. V., Shadyab, A. H., LaCroix, A. Z., Stone, K. L., Yaffe, K. S., Hayden, K. M., Casanova, R., Rapp, S. R., et al. (2025) · SLEEP · doi:10.1093/sleep/zsaf320 · Cited by 4
Zhang, L., Lee, K. A. V., Stone, K. L., LaCroix, A. Z., Shadyab, A. H., Yaffe, K. S., Redline, S. S., Kado, D. M., Yeung, C. H. C., Wang, S., et al. (2025) · SLEEP · doi:10.1093/sleep/zsaf319 · Cited by 4
Privacy Preserved Spectral Analysis Using IoT mHealth Biomedical Data for Stress Estimation
Huang, X., Kikuchi, H., & Fan, C. (2018) · International Conference on Advanced Information Networking and Applications (AINA) · doi:10.1109/aina.2018.00118 · Cited by 4
Kervezee, L., Koshy, A., Cermakian, N., & Boivin, D. B. (2022) · Journal of Biological Rhythms · doi:10.1177/07487304221132088 · Cited by 4
Oishi, K., Yoshida, Y., Kaida, K., Terai, K., Yamamoto, H., & Toyoda, A. (2025) · Scientific Reports · doi:10.1038/s41598-025-95403-1 · Cited by 4
Castillo-Vázquez, S. K., Palacios‐González, B., Vela-Amieva, M. B., Ibarra‐González, I., Morales, R., García-delaTorre, P., Sánchez‐García, S., García‐Peña, C., Reyes‐Chilpa, R., Medina-Campos, R. H., et al. (2025) · Metabolites · doi:10.3390/metabo15060417 · Cited by 4
Kulhavá, L., Houdek, P., Nováková, M., Hričko, J., Paucova, M., Kuda, O., Sládek, M., Fiehn, O., Sumová, A., & Čajka, T. (2025) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-025-05783-w · Cited by 4
Sharma, A., Muresanu, D. F., Lafuente, J. V., Ozkızılcık, A., Tian, Z. R., Buzoianu, A. D., & Sharma, H. S. (2017) · Springer eBooks · doi:10.1007/978-3-319-57696-1_5 · Cited by 4
Circadian Metabolomics from Breath
Brown, S. A., & Sinues, P. (2020) · Methods in molecular biology · doi:10.1007/978-1-0716-0381-9_11 · Cited by 4
Antihypertensives’ Rock around the Clock
Rahić, O., Tucak, A., Sirbubalo, M., Hindija, L., & Hadžiabdić, J. (2021) · J — Multidisciplinary Scientific Journal · doi:10.3390/j4010005 · Cited by 5
Peng, N., & Li, S. (2023) · International Urology and Nephrology · doi:10.1007/s11255-023-03861-1 · Cited by 4
Towards a biochemical approach to occupational stress management
Shackleton, G. (2021) · Heliyon · doi:10.1016/j.heliyon.2021.e07175 · Cited by 4
Association Between Pittsburgh Sleep Quality Index Factors, Academic Performance and Health
Mishra, B., Sahu, N., & Dhaka, S. (2022) · Sleep and Vigilance · doi:10.1007/s41782-022-00212-5 · Cited by 4
Wang, W., Liu, T., & Zhang, Y. (2023) · Digital Health · doi:10.1177/20552076231169846 · Cited by 4
Chen, H., Zeng, G., Wu, S., Xie, S., Chen, X., Wu, W., Chen, R., Chen, R., & Xiao, Y. (2025) · CNS Drugs · doi:10.1007/s40263-025-01190-8 · Cited by 3
Zhang, M., Huang, X., Dai, M., Zhang, S., Yin, C., & You, Q. (2025) · Scientific Reports · doi:10.1038/s41598-025-14303-6 · Cited by 3
Qin, C., Li, Z., Jiang, T., Feng, H., Feng, J., & Hu, H. (2025) · Kidney & Blood Pressure Research · doi:10.1159/000548489 · Cited by 3
Lifestyles, metabolome and diabetic kidney disease: a cohort study
Deng, B., Zheng, Y., Zhou, Z., Xu, L., Li, F., & Zhang, C. (2025) · QJM · doi:10.1093/qjmed/hcaf281 · Cited by 3
Xiao, Q., Zhou, S., Tang, B., & Zhu, Y. (2026) · CNS Neuroscience & Therapeutics · doi:10.1002/cns.70770 · Cited by 3
Sphingolipids in Emotional Well‐Being
Kalinichenko, L. S., Zoicas, I., Muehle, C., Kornhuber, J., & Müller, C. P. (2026) · Journal of Neurochemistry · doi:10.1111/jnc.70379 · Cited by 4
Chen, Y., Wang, R., Pang, R., Sun, Z., He, X., Tang, W.-H., Ou, J.-Y., Yi, H.-M., Cheng, X. J., Chen, J., et al. (2024) · Animals · doi:10.3390/ani14223165 · Cited by 3
Bi, Y., Wang, P., Ye, W., Zhang, S., Bai, Y., Xu, H., Yu, G., Zhang, T., Wang, J., Liu, Y., et al. (2025) · Journal of Pharmaceutical and Biomedical Analysis · doi:10.1016/j.jpba.2025.116733 · Cited by 3
Alteration of Metabolic Profile in Patients with Narcolepsy Type 1
Hakim, M. A., Purba, W. T., Sanni, A., Bhuiyan, M. M. A. A., Talih, F. R., Lanza, G., Kobeissy, F. H., Plazzi, G., Pizza, F., Ferri, R., et al. (2025) · Metabolites · doi:10.3390/metabo15060382 · Cited by 3
Lusczek, E. R., Parsons, L. S., Elder, J., Harvey, S. B., Skube, M. E., Muratore, S. L., Beilman, G. J., & Cornélissen, G. (2020) · Frontiers in Neurology · doi:10.3389/fneur.2020.533915 · Cited by 3
Depner, C. M. (2023) · Frontiers in Sleep · doi:10.3389/frsle.2023.1293941 · Cited by 3
Multiplex influences on vigilance and biochemical variables induced by sleep deprivation
Liu, S., Ma, X., Chen, Y., Zhao, Y., Luo, R., Wu, Z., Li, Y., Qian, Y., Wang, W., Dong, S., et al. (2024) · Frontiers in Sports and Active Living · doi:10.3389/fspor.2024.1412044 · Cited by 3
Zhang, G., Wang, S., Ma, P., & Pan, J. (2024) · Journal of Integrative Neuroscience · doi:10.31083/j.jin2311200 · Cited by 4
Effects of Sleep Deprivation on Brain Functional Network
Ye, M., Tang, S., Qing, P., & Liu, G. (2018) · Journal of Psychiatry and Psychiatric Disorders · doi:10.26502/jppd.2572-519x0041 · Cited by 3
Effect of bright-light exposure before sleep on human urine metabolome
Nakamura, Y., Choi, Y., Akazawa, N., Park, I., Kawana, F., Satoh, M., Tokuyama, K., & Maeda, S. (2019) · The Journal of Physical Fitness and Sports Medicine · doi:10.7600/jpfsm.8.89 · Cited by 3
Effect of Restricted Feeding on Metabolic Health and Sleep-Wake Rhythms in Aging Mice
Xu, Y., Liu, G., Jiang, Q., Bi, H.-Q., Wang, S.-C., Zhang, P.-P., Gao, C., Chen, G.-H., Cheng, W., Chen, G., et al. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.745227 · Cited by 3
Insomnia Management Clinical Trials by various Conventional Therapies – A Review
Maanickha Chelvi., K. S., Karthik Nagarajan., S., & Kanagarajan, A. (2023) · Research Journal of Pharmacy and Technology · doi:10.52711/0974-360x.2023.00985 · Cited by 3
Genetics and Genomic Basis of Sleep in Rodents
O’Hara, B. F., Jiang, P., Turek, F. W., & Franken, P. (2016) · Elsevier eBooks · doi:10.1016/b978-0-323-24288-2.00029-5 · Cited by 3
Acute sleep deprivation in humans
Casale, C. E., Brieva, T. E., Yamazaki, E. M., Antler, C. A., & Goel, N. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-822963-7.00005-0 · Cited by 3
Sun, M.-J., Yin, H., Cao, X., Kang, L., Hu, Y., & Tang, Y. C. (2021) · Springer eBooks · doi:10.1007/978-981-16-0522-2_8 · Cited by 2
Malik, V., Huang, X., Zhou, H., Bojar, R., Soni, R. K., Landry, D. W., Jelić, S., & Wang, J. (2025) · iScience · doi:10.1016/j.isci.2025.112510 · Cited by 2
Leone, V., Frazier, K., Kaur, M., Chrisler, E. A., Sidebottom, A. M., Tai, E., Tran, V., Li, S., Chang, E. B., Jones, D. P., et al. (2026) · Journal of Clinical Investigation · doi:10.1172/jci189363 · Cited by 2
Gut Dysbiosis in Insomnia and Diurnal Cycle
Kumar, R. (2022) · Springer eBooks · doi:10.1007/978-981-16-6760-2_8 · Cited by 2
Thondala, B., Pawar, H., & Panjwani, U. (2023) · Springer eBooks · doi:10.1007/978-981-99-7652-2_19 · Cited by 2
Metadata
- Authors
- Davies, S. K., Ang, J. E., Revell, V. L., Holmes, B., Mann, A., Robertson, F. P., Cui, N., Middleton, B., Ackermann, K., Kayser, M., Thumser, A. E., Raynaud, F. I., & Skene, D. J.
- Affiliations
- University of Surrey (GB)
- Institute of Cancer Research (GB)
- Faculty of Health and Medical Sciences, University of Surrey, Guildford GU2 7XH, United Kingdom;
- Erasmus MC (NL)
- ORCID
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2014-07-07
- Volume
- 111
- Issue
- 29
- Pages
- 10761-10766
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC4115565
- OpenAlex
- W2027141772
- Cited by
- 527
- References
- 52
- Citations by year
- 2026: 22 · 2025: 52 · 2024: 47 · 2023: 57 · 2022: 39 · 2021: 49 · 2020: 39 · 2019: 54 · 2018: 51 · 2017: 42 · 2016: 36 · 2015: 37 · 2014: 1
- FWCI
- 19.01
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- EUR Research Repository (Erasmus University Rotterdam) (publishedVersion)
- Surrey Research Insight Open Access (The University of Surrey) (submittedVersion)
- EUR Research Repository (Erasmus University Rotterdam) (submittedVersion)
- RePub (Erasmus University Rotterdam) (submittedVersion, other-oa)
- Funders
- Cancer Research UK (11566)
- Biotechnology and Biological Sciences Research Council (BB/I019405/1)
- Topics
- Life Sciences › Neuroscience › Endocrine and Autonomic Systems › Circadian rhythm and melatonin
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and Work-Related Fatigue
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolomics and Mass Spectrometry Studies
- Keywords
- sleep deprivation, plasma metabolites, circadian rhythm, sleep-wake cycle, metabolomics, tryptophan, serotonin, taurine, acylcarnitines, glycerophospholipids, sphingolipids
- MeSH terms
- Humans, Male, Sleep Deprivation, Multivariate Analysis, Principal Component Analysis, Metabolomics, Metabolome
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review