Circadian and ultradian rhythms in normal mice and in a mouse model of Huntington’s disease

Griffis, Christopher G.; Mistry, Janki; Islam, Kendall; Cutler, Tamara; Colwell, Christopher S.; Garfinkel, Alan

doi:10.1080/07420528.2021.2014516

Cited by 6 publications

(3 citation statements)

References 36 publications

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“…1). An agedependent disruption in behavioral rhythms has now been documented in all the HD models in which it has been studied, including R6/2; R6/1, BACHD, Q140, Q175, and YAC128 lines [19][20][21][22][23][24][25][26][27][28][29][30][31].…”

Section: Micementioning

confidence: 99%

Sleep and Circadian Rhythm Dysfunction in Animal Models of Huntington’s Disease

Morton

2023

JHD

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Sleep and circadian disruption affects most individuals with Huntington’s disease (HD) at some stage in their lives. Sleep and circadian dysregulation are also present in many mouse and the sheep models of HD. Here I review evidence for sleep and/or circadian dysfunction in HD transgenic animal models and discuss two key questions: 1) How relevant such findings are to people with HD, and 2) Whether or not therapeutic interventions that ameliorate deficits in animal models of HD might translate to meaningful therapies for people with HD.

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Section: Micementioning

confidence: 99%

Sleep and Circadian Rhythm Dysfunction in Animal Models of Huntington’s Disease

Morton

2023

JHD

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“…In addition to the circadian rhythm, the application of other types of variations in 3P medicine was also confirmed; however, most of the data are related to the circadian rhythms. For example, evidence show the effects of the ultradian rhythms on heart rate variability, gene expression, locomotor activity, and body temperature [ 214 ]. Similarly, infradian rhythms have been associated with reproduction, sperm physiology, telomer length, aging, etc., and the coordination of physiological rhythms are essentials for healthy behavior and memory functions [ 30 , 215 , 216 ].…”

Section: 3p Medicine and Variationsmentioning

confidence: 99%

Physiological Rhythms and Biological Variation of Biomolecules: The Road to Personalized Laboratory Medicine

Coşkun

Zarepour

Zarrabi

2023

IJMS

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The concentration of biomolecules in living systems shows numerous systematic and random variations. Systematic variations can be classified based on the frequency of variations as ultradian (<24 h), circadian (approximately 24 h), and infradian (>24 h), which are partly predictable. Random biological variations are known as between-subject biological variations that are the variations among the set points of an analyte from different individuals and within-subject biological variation, which is the variation of the analyte around individuals’ set points. The random biological variation cannot be predicted but can be estimated using appropriate measurement and statistical procedures. Physiological rhythms and random biological variation of the analytes could be considered the essential elements of predictive, preventive, and particularly personalized laboratory medicine. This systematic review aims to summarize research that have been done about the types of physiological rhythms, biological variations, and their effects on laboratory tests. We have searched the PubMed and Web of Science databases for biological variation and physiological rhythm articles in English without time restrictions with the terms “Biological variation, Within-subject biological variation, Between-subject biological variation, Physiological rhythms, Ultradian rhythms, Circadian rhythm, Infradian rhythms”. It was concluded that, for effective management of predicting, preventing, and personalizing medicine, which is based on the safe and valid interpretation of patients’ laboratory test results, both physiological rhythms and biological variation of the measurands should be considered simultaneously.

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“… 26 Similar murine rhythms in body temperature have been shown to vary with aging and in models of Huntington’s disease. 27 The pulsatile release of several endocrine hormones also occurs with ultradian period lengths, including growth hormone, 28 corticotropin-releasing hormone 29 and corticosteroids. 30-32 Ultradian rhythms contain information about shifts or disruptions of rest-activity patterns, which are common triggers for patients with paroxysmal disorders such as migraine headaches or epileptic seizures.…”

Section: Introductionmentioning

confidence: 99%

Ultradian rhythms in accelerometric and autonomic data vary based on seizure occurrence in paediatric epilepsy patients

Vieluf,

Cantley,

Krishnan

et al. 2024

Brain Communications

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Ultradian rhythms are physiological oscillations that resonate with period lengths shorter than twenty-four hours. This study examined the expression of ultradian rhythms in patients with epilepsy, a disease defined by an enduring seizure risk that may vary cyclically. Using a wearable device, we recorded heart rate, body temperature, electrodermal activity, and limb accelerometry in patients admitted to the pediatric epilepsy monitoring unit. In our case-control design, we included recordings from 29 patients with tonic clonic seizures and 29 non-seizing controls. We spectrally decomposed each signal to identify cycle lengths of interest and compared average spectral power- and period-related markers between groups. Additionally, we related seizure occurrence to the phase of ultradian rhythm in patients with recorded seizures. We observed prominent 2 and 4-hour-long ultradian rhythms of accelerometry, as well as 4-hour-long oscillations in heart rate. Patients with seizures displayed a higher peak power in the 2-hour accelerometry rhythm (U = 287, p = 0.038) and a period-lengthened 4-hour heart rate rhythm (U = 291.5, p = 0.037). Those that seized also displayed greater mean rhythmic electrodermal activity (U = 261; p = 0.013). Most seizures occurred during the falling-to-trough quarter phase of accelerometric rhythms (13 out of 27, χ2 = 8.41, p = 0.038). Fluctuations in seizure risk or the occurrence of seizures may interrelate with ultradian rhythms of movement and autonomic function. Longitudinal assessments of ultradian patterns in larger patient samples may enable us to understand how such rhythms may improve the temporal precision of seizure forecasting models.

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Circadian and ultradian rhythms in normal mice and in a mouse model of Huntington’s disease

Cited by 6 publications

References 36 publications

Sleep and Circadian Rhythm Dysfunction in Animal Models of Huntington’s Disease

Sleep and Circadian Rhythm Dysfunction in Animal Models of Huntington’s Disease

Physiological Rhythms and Biological Variation of Biomolecules: The Road to Personalized Laboratory Medicine

Ultradian rhythms in accelerometric and autonomic data vary based on seizure occurrence in paediatric epilepsy patients

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