
Eve Van Cauter
· PhDVerifiedUniversity of Chicago · Endocrinology, Diabetes and Metabolism
Active 1972–2026
About
Eve Van Cauter is an Emeritus/Emerita Professor at the University of Chicago in the Department of Medicine-Endocrinology. Her research activities focus on sleep, circadian rhythms, and their impact on metabolic and cardiometabolic health. She has conducted extensive studies on how sleep disturbances, circadian misalignment, and sleep loss influence glucose regulation, insulin resistance, obesity, and cardiovascular risk. Her work includes investigating the biological mechanisms underlying these associations and exploring potential interventions such as pharmacologic treatments and light exposure to improve health outcomes. Van Cauter has contributed significantly to understanding the role of sleep and circadian biology in endocrine and metabolic processes, with numerous publications in the field.
Research topics
- Medicine
- Computer Science
- Endocrinology
- Internal medicine
- Psychology
- Neuroscience
- Biology
- Physiology
- Ophthalmology
Selected publications
Journal of Clinical Investigation · 2026-03-15
articleOpen accessBACKGROUNDGut microbes and their metabolites contribute to the host circulating metabolome and exhibit diurnal variation influenced by sleep-wake cycles and meal timing. Sleep deprivation alters the rhythmic circulating metabolome, but its impact on microbial metabolites remains unclear. We tested whether 24-hour circulating metabolite profiles, including those of microbial origin, differ under normal (habitual) versus short-term restricted sleep.METHODSIn a randomized crossover design, 9 healthy adults completed 2 in-lab 24-hour blood sampling sessions (q120): one following 3 nights of normal sleep (8.5 hours/night), the other following 3 nights of sleep restriction (4.5 hours/night). Meal timing and caloric intake were held constant. Serum metabolites were characterized using untargeted reverse-phase liquid chromatography-mass spectrometry and rhythmicity was assessed using empirical JTK_CYCLE analysis.RESULTSWe identified 90 metabolites, including 14 of microbial origin or derived from host metabolism of microbial products, e.g., butyrate and tryptophan derivatives. Sleep restriction significantly altered serum metabolite composition compared with normal sleep. While many compounds maintained rhythmicity across conditions, sleep restriction disrupted rhythms of several key compounds, including microbe-derived metabolites. Notably, butyrate and indole-3-propionic acid lost rhythmicity, whereas new rhythms emerged in the tryptophan catabolite, kynurenine, and lipid metabolism intermediates.CONCLUSIONWe provide evidence that microbial metabolites are detectable in human blood and exhibit sleep-dependent rhythmicity. Sleep restriction alters diurnal circulating microbial and host-derived metabolite rhythms even under constant meal timing, composition, and calories. These findings support links between host sleep patterns and gut microbial metabolism and suggest microbial metabolites as potential biomarkers or mediators of sleep loss-associated health risks.TRIAL REGISTRATIONNCT00989976.FUNDINGNIH/NCRR KL2RR025000; R56DK102872-01A1, P30DK020595; P30DK042086; K01DK111785; F31DK122714; DOD W81XWH-07-2-0071.
Exploring metabolomic clues in diabetic retinopathy: a pilot study
Acta Diabetologica · 2026-03-17
articleOpen accesswith diabetes [1].Prevalence is expected to increase; by 2045, an estimated 160.50 million adults worldwide will be afflicted by DR, and 44.82 million will experience visionthreatening DR [1].Early detection is necessary for reducing DR progression.Despite major risk factors such as hyperglycemia, hypertension, and dyslipidemia, considerable variability in DR onset and progression remains unexplained.This suggests a need to explore pathophysiological mechanisms and biomarker identification.Emerging evidence from metabolomics-the study of small-molecule metabolites in biological systems-has shown promise in uncovering molecular alterations associated with diabetic complications, including DR [2].Previous studies identified metabolites like 12-hydroxyeicosatetraenoic acid (12-HETE) and 3,4-dihydroxybutyrate (3,4-DHBA) as DR-related [2], pointing to inflammation and altered lipid metabolism.However, few studies include healthy controls (HC) in addition to DR and no-DR groups [2].Recognizing the need for more comprehensive designs, this study uses untargeted metabolomics to examine DR, no-DR, and HC groups to identify biomarkers and gain insight into DR pathogenesis. Materials and methodsWe analyzed baseline fasting serum samples from 77 participants aged 40-65 years, drawn from a cohort who had previously enrolled in sleep and circadian rhythm studies conducted at a tertiary academic hospital.Post-illumination pupillary light reflex (PIPR), a measure of intrinsically photosensitive retinal ganglion cells (ipRGCs) located in the inner retina, and nocturnal urinary 6-sulfatoxymelatonin (aMT6s); both previously shown to be reduced in DR, were collected using standardized protocols, previously
Diabetes Care · 2026-04-20
article1st authorCorrespondingSleep and cardiorespiratory function assessed by a smart bed over 10 weeks post COVID-19 infection
Scientific Reports · 2025-01-21 · 1 citations
articleOpen accessSenior authorInadequate information exists regarding physiological changes post-COVID-19 infection. We used smart beds to record biometric data following COVID-19 infection in nonhospitalized patients. Recordings of daily biometric signals over 14 weeks in 59 COVID-positive participants’ homes in 2020 were compared with the same participants’ data from 2019. Participants completed a survey of demographic information, health conditions, COVID exposure and testing, and symptom prevalence/subjective severity. Mean age was 47.5 years (standard deviation [SD] 9.5), mean body mass index was 30.1 kg/m2 (SD 7.1), and 46% were men. During acute infection, 64% exhibited 5–6 h increased sleep duration, 51% had increased movement, and 64% had increased breathing rate (BR). Nearly 34% had paradoxical bradycardia (decreased heart rate by ~ 10 BPM concomitant with elevated BR and/or fever), with more-severe symptoms. Smart beds can detect physiological changes during COVID-19. A subtype of acute response (paradoxical bradycardia) may predict delay recovery from COVID-19.
Multidimensional sleep health in type 2 diabetes: The role of sleep variability in glycemic control
Sleep Medicine · 2025-10-15 · 1 citations
article6828 Exploring Metabolomic Clues in Diabetic Retinopathy
Journal of the Endocrine Society · 2024-10-01
articleOpen accessAbstract Disclosure: M.W. Simonson: None. Y. Li: None. J.J. McAnany: None. B. Prasad: None. E.C. Hanlon: None. S. Pannain: None. B.T. Layden: None. E. Van Cauter: None. J.C. Park: None. S.J. Crowley: None. F.Y. Chau: None. K.K. Danielson: None. H. Chen: None. G.E. Chlipala: None. C. Martinez: None. S. Reutrakul: Speaker; Self; Eli Lilly & Company. Background: Diabetic retinopathy (DR) is a common microvascular complication of diabetes. Metabolomics offers the possibility for novel biomarker discovery. The purpose of this study was to determine metabolomic differences that characterized patients with versus without DR. Methods: A total of 62 serum samples were collected from 36 type 2 diabetes (T2D) patients with DR and 26 T2D patients without DR, and analyzed via UPLC-MS. The metabolite data were normalized using median normalization. The differential expression of metabolites was compared among the groups using the limma package in R. The covariates (age, sex, BMI and sleep apnea severity) were accounted for by using a generalized linear model fitted to the data. Significantly different metabolites were filtered by an absolute log2 Fold Change (FC) of 1.5 or greater and Q values < 0.05. Results: Mean (SD) age for DR and no-DR group was 55 (±5.9) versus 54 (±6.7) years, while BMI was 33 (±5.8) versus 33 (±6.3) kg/m2 respectively. Both DR and no-DR groups were 58% female. A1C levels in DR group was marginally higher than in no-DR group (p=0.09). There were significant differences in metabolomic changes between DR versus no-DR, with 166 total differential metabolites after adjusting for covariates and filtering by FC. Notable metabolites included those involved in fatty acid metabolism, acyl carnitines, prostaglandins, and phospholipids. There was an overall upregulation of serum acyl carnitines in DR as compared to no-DR, including 2,6 dimethylheptanoyl carnitine (FC = 3.0) and cis-5-Tetradecenoylcarnitine (FC = 2.0). Additionally, there was a decrease in long chain fatty acids in DR as compared to no-DR, which included 6-hydroxypentadecanedioic acid (FC = -6.6), 10,16-dihydroxy-palmitic acid (FC = -6.0), and tetracosatetraenoyl CoA (FC = -6.1). The 11-beta prostaglandin F2 (11-PGF2) was increased in DR (FC = 1.9). Circulating phospholipids including lysophosphatidylcholine (22:2) (lysoPC) (FC = 1.8) and phosphatidylcholine (24:1/24:1) (PC) (FC = 5.9) were also significantly dysregulated. Conclusions: We identified a subset of metabolites that discriminate T2D patients with or without DR. The changes in acyl carnitines and long chain fatty acids may reflect mitochondrial dysfunction in DR. The presence of certain prostaglandins highlights the inflammatory environment which may facilitate DR progression. Increases in phospholipids such as lysoPC suggest an atherogenic state and higher LDL oxidation, while increases in PC may indicate altered lipogenesis in DR. These findings may serve as new potential serum biomarkers to promote efficient preventive care and provide mechanistic insight into understanding DR pathophysiology. Presentation: 6/2/2024
Diabetologia · 2024 · 11 citations
- Internal medicine
- Endocrinology
- Medicine
Sleep and Cardiorespiratory Function Assessed by a Smart Bed Over 10 Weeks Post COVID-19 Infection
SSRN Electronic Journal · 2024-01-01
preprintOpen accessSenior authorDormir moins de six heures par nuit diminue la réponse immunitaire induite par la vaccination
2023-03-14
articleSenior authorDisruption of the circadian rhythm of melatonin: A biomarker of critical illness severity
Sleep Medicine · 2023-07-28 · 14 citations
articleOpen access
Recent grants
Training Grant in Circadian and Sleep Research-Resubmission
NIH · $9.1M · 1998–2030
NIH · $2.0M · 2005
NIH · $5.1M · 2020
NIH · $2.9M · 2011
Metabolic and Molecular Laboratory Core
NIH · $50.4M · 1997–2023
Frequent coauthors
- 184 shared
Rachel Leproult
Université Libre de Bruxelles
- 134 shared
Georges Copinschi
Université Libre de Bruxelles
- 87 shared
Derk‐Jan Dijk
University of Surrey
- 85 shared
Étienne Challet
Institut des Neurosciences Cellulaires et Intégratives
- 85 shared
Karine Spiegel
- 83 shared
E. R. de Kloet
Leiden University Medical Center
- 82 shared
Alexandros N. Vgontzas
Pennsylvania State University
- 81 shared
Emanuela Arvat
University of Turin
Labs
Eve Van CauterPI
Education
- 1989
Ph.D., Medicine
University of Chicago
- 1983
M.D., Medicine
University of Chicago
- 1979
B.A., Biology
University of Chicago
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