The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.
Systems Chronotherapeutics
Open accessAbstract
Chronotherapeutics aim at treating illnesses according to the endogenous biologic rhythms, which moderate xenobiotic metabolism and cellular drug response. The molecular clocks present in individual cells involve approximately fifteen clock genes interconnected in regulatory feedback loops. They are coordinated by the suprachiasmatic nuclei, a hypothalamic pacemaker, which also adjusts the circadian rhythms to environmental cycles. As a result, many mechanisms of diseases and drug effects are controlled by the circadian timing system. Thus, the tolerability of nearly 500 medications varies by up to fivefold according to circadian scheduling, both in experimental models and/or patients. Moreover, treatment itself disrupted, maintained, or improved the circadian timing system as a function of drug timing. Improved patient outcomes on circadian-based treatments (chronotherapy) have been demonstrated in randomized clinical trials, especially for cancer and inflammatory diseases. However, recent technological advances have highlighted large interpatient differences in circadian functions resulting in significant variability in chronotherapy response. Such findings advocate for the advancement of personalized chronotherapeutics through interdisciplinary systems approaches. Thus, the combination of mathematical, statistical, technological, experimental, and clinical expertise is now shaping the development of dedicated devices and diagnostic and delivery algorithms enabling treatment individualization. In particular, multiscale systems chronopharmacology approaches currently combine mathematical modeling based on cellular and whole-body physiology to preclinical and clinical investigations toward the design of patient-tailored chronotherapies. We review recent systems research works aiming to the individualization of disease treatment, with emphasis on both cancer management and circadian timing system-resetting strategies for improving chronic disease control and patient outcomes.
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.
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
Siegel, R. L., Miller, K. D., & Jemal, A. (2016) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21332 · Cited by 16,003
From inflammation to sickness and depression: when the immune system subjugates the brain
Dantzer, R., O'Connor, J. C., Freund, G. G., Johnson, R. W., & Kelley, K. W. (2008) · Nature Reviews Neuroscience · doi:10.1038/nrn2297 · Cited by 7,395
The Role of Actigraphy in the Study of Sleep and Circadian Rhythms
Ancoli-Israel, S., Cole, R., Alessi, C., Chambers, M., Moorcroft, W., & Pollak, C. P. (2003) · Sleep · doi:10.1093/sleep/26.3.342 · Cited by 2,751 · cited 1×
“The rest-activity rhythm is the most widely assessed in patients, because its pattern can be easily evaluated using a small triaxial accelerometer (the actigraph), worn most often on the wrist, but also on the arm, thorax, hip, or ankle (Ancoli-Israel et al., 2003).”
BackgroundDamiola, F., Le Minh, N., Preitner, N., Kornmann, B., Fleury-Olela, F., & Schibler, U. (2000) · Genes & Development · doi:10.1101/gad.183500 · Cited by 2,394
A circadian gene expression atlas in mammals: Implications for biology and medicine
Zhang, R., Lahens, N. F., Ballance, H. I., Hughes, M. E., & Hogenesch, J. B. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1408886111 · Cited by 2,304
Loss of a circadian adrenal corticosterone rhythm following suprachiasmatic lesions in the rat
Moore, R. Y., & Eichler, V. B. (1972) · Brain Research · doi:10.1016/0006-8993(72)90054-6 · Cited by 2,135
Epidemiology of the human circadian clock
Roenneberg, T., Kuehnle, T., Juda, M., Kantermann, T., Allebrandt, K., Gordijn, M., & Merrow, M. (2007) · Sleep Medicine Reviews · doi:10.1016/j.smrv.2007.07.005 · Cited by 1,545
Transcriptional architecture and chromatin landscape of the core circadian clock in mammals
Koike, N., Yoo, S.-H., Huang, H.-C., Kumar, V., Lee, C., Kim, T.-K., & Takahashi, J. S. (2012) · Science · doi:10.1126/science.1226339 · Cited by 1,464
Proteogenomic characterization of human colon and rectal cancer
CPTAC, T. N., Zhang, B., Wang, J., Wang, X., Zhu, J., Liu, Q., Shi, Z., Chambers, M. C., Zimmerman, L. J., Shaddox, K. F., et al. (2014) · Nature · doi:10.1038/nature13438 · Cited by 1,462
Genetic Risk, Adherence to a Healthy Lifestyle, and Coronary Disease
Khera, A. V., Emdin, C. A., Drake, I., Natarajan, P., Bick, A. G., Cook, N. R., Chasman, D. I., Baber, U., Mehran, R., Rader, D. J., et al. (2016) · New England Journal of Medicine · doi:10.1056/nejmoa1605086 · Cited by 1,460
Cited by
de Man, F. M., Goey, A. K. L., van Schaik, R. H. N., Mathijssen, R. H. J., & Bins, S. (2018) · Clinical Pharmacokinetics · doi:10.1007/s40262-018-0644-7 · Cited by 421
New Insights Into the Circadian Rhythm and Its Related Diseases
Xie, Y., Tang, Q., Chen, G., Xie, M., Yu, S., Zhao, J., & Chen, L. (2019) · Frontiers in Physiology · doi:10.3389/fphys.2019.00682 · Cited by 250
Kuhlman, S. J., Craig, L. M., & Duffy, J. F. (2018) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a033613 · Cited by 107
Molecular aspects of circadian pharmacology and relevance for cancer chronotherapy
Ozturk, N., Ozturk, D., Kavakli, I. H., & Okyar, A. (2017) · International Journal of Molecular Sciences · doi:10.3390/ijms18102168 · Cited by 106
Aging, circadian disruption and neurodegeneration: Interesting interplay
Verma, A. K., Singh, S., & Rizvi, S. I. (2023) · Experimental Gerontology · doi:10.1016/j.exger.2022.112076 · Cited by 55
Systems Biology, Systems Medicine, Systems Pharmacology: The What and The Why
Stéphanou, A., Fanchon, E., Innominato, P. F., & Ballesta, A. (2018) · Acta Biotheoretica · doi:10.1007/s10441-018-9330-2 · Cited by 50
Self-citationFrom Microbial Switches to Metabolic Sensors: Rewiring the Gut–Brain Kynurenine Circuit
Tanaka, M., & Vécsei, L. (2025) · doi:10.20944/preprints202506.0880.v1 · Cited by 24
Li, Y., Lu, L., & Androulakis, I. P. (2024) · Journal of Pharmaceutical Sciences · doi:10.1016/j.xphs.2023.08.005 · Cited by 17
Metadata
- Authors
- Ballesta, A., Innominato, P. F., Dallmann, R., Rand, D. A., & Lévi, F. A.
- Venue
- Pharmacological Reviews
- Publisher
- Elsevier BV
- Published
- 2017-04
- Volume
- 69
- Issue
- 2
- Pages
- 161-199
- ISSN
- 0031-6997 (ISSN-L)
- OpenAlex
- W4211057115
- Cited by
- 339
- References
- 44
- FWCI
- 16.80
- Type
- journal article
- Language
- en
- Open access
- hybrid
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
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
