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Klevens AM, Taylor ML, Wescott DL, Gamlin PD, Franzen PL, Hasler BP, Siegle G, Roecklein KA. The role of retinal irradiance estimates in melanopsin-driven retinal responsivity: a reanalysis of the post-illumination pupil response in seasonal affective disorder. Sleep 2024; 47:zsae109. [PMID: 38877879 PMCID: PMC11381569 DOI: 10.1093/sleep/zsae109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Revised: 04/24/2024] [Indexed: 09/10/2024] Open
Abstract
To isolate melanopsin contributions to retinal sensitivity measured by the post-illumination pupil response (PIPR), controlling for individual differences in non-melanopsin contributions including retinal irradiance is required. When methodologies to negate such differences present barriers, statistical controls have included age, baseline diameter, iris pigmentation, and circadian time of testing. Alternatively, the pupil light reflex (PLR) and calculations estimating retinal irradiance both reflect retinal irradiance, while the PLR also reflects downstream pathways. We reanalyzed data from an observational, correlational study comparing the PIPR across seasons in seasonal affective disorder (SAD) and controls. The PIPR was measured in 47 adults in Pittsburgh, Pennsylvania (25 SAD) over 50 seconds after 1 second of red and blue stimuli of 15.3 log photons/cm2/s. The PLR was within 1 second while PIPR was averaged over 10-40 seconds post-stimulus. Two raters ranked iris pigmentation using a published scale. We evaluated model fit using Akaike's Information Criterion (AIC) across different covariate sets. The best-fitting models included either estimated retinal irradiance or PLR, and circadian time of testing. The PLR is collected contemporaneously in PIPR studies and is an individually specific measure of nonspecific effects, while being minimally burdensome. This work extends the prior publication by introducing theoretically grounded covariates that improved analytic model fits based on AIC specific to the present methods and sample. Such quantitative methods could be helpful in studies which must balance participant and researcher burden against tighter methodological controls of individual differences in retinal irradiance.
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Affiliation(s)
- Alison M Klevens
- Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Maddison L Taylor
- Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA
| | | | - Paul D Gamlin
- Department of Ophthalmology and Visual Sciences, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Peter L Franzen
- Department of Psychiatry, University of Pittsburgh School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Brant P Hasler
- Department of Psychiatry, University of Pittsburgh School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Greg Siegle
- Department of Psychiatry, University of Pittsburgh School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Kathryn A Roecklein
- Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Psychiatry, University of Pittsburgh School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
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Michel S, Kervezee L. One seasonal clock fits all? J Comp Physiol A Neuroethol Sens Neural Behav Physiol 2024; 210:641-647. [PMID: 37947808 PMCID: PMC11226558 DOI: 10.1007/s00359-023-01680-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Revised: 10/02/2023] [Accepted: 10/12/2023] [Indexed: 11/12/2023]
Abstract
Adaptation of physiology and behavior to seasonal changes in the environment are for many organisms essential for survival. Most of our knowledge about the underlying mechanisms comes from research on photoperiodic regulation of reproduction in plants, insects and mammals. However, even humans, who mostly live in environments with minimal seasonal influences, show annual rhythms in physiology (e.g., immune activity, brain function), behavior (e.g., sleep-wake cycles) and disease prevalence (e.g., infectious diseases). As seasonal variations in environmental conditions may be drastically altered due to climate change, the understanding of the mechanisms underlying seasonal adaptation of physiology and behavior becomes even more relevant. While many species have developed specific solutions for dedicated tasks of photoperiodic regulation, we find a number of common principles and mechanisms when comparing insect and mammalian systems: (1) the circadian system contributes to photoperiodic regulation; (2) similar signaling molecules (VIP and PDF) are used for transferring information from the circadian system to the neuroendocrine system controlling the photoperiodic response; (3) the hormone melatonin participates in seasonal adaptation in insects as well as mammals; and (4) changes in photoperiod affect neurotransmitter function in both animal groups. The few examples of overlap elaborated in this perspective article, as well as the discussion on relevance for humans, should be seen as encouragement to unravel the machinery of seasonal adaptation in a multitude of organisms.
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Affiliation(s)
- Stephan Michel
- Department of Cell and Chemical Biology, Leiden University Medical Center, Postzone S5-P, 2300 RC, PO Box 9600, Leiden, The Netherlands.
| | - Laura Kervezee
- Department of Cell and Chemical Biology, Leiden University Medical Center, Postzone S5-P, 2300 RC, PO Box 9600, Leiden, The Netherlands
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Lee YT, Chang YH, Tsai HJ, Chao SP, Chen DYT, Chen JT, Cherng YG, Wang CA. Altered pupil light and darkness reflex and eye-blink responses in late-life depression. BMC Geriatr 2024; 24:545. [PMID: 38914987 PMCID: PMC11194921 DOI: 10.1186/s12877-024-05034-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Accepted: 05/02/2024] [Indexed: 06/26/2024] Open
Abstract
BACKGROUND Late-life depression (LLD) is a prevalent neuropsychiatric disorder in the older population. While LLD exhibits high mortality rates, depressive symptoms in older adults are often masked by physical health conditions. In younger adults, depression is associated with deficits in pupil light reflex and eye blink rate, suggesting the potential use of these responses as biomarkers for LLD. METHODS We conducted a study using video-based eye-tracking to investigate pupil and blink responses in LLD patients (n = 25), older (OLD) healthy controls (n = 29), and younger (YOUNG) healthy controls (n = 25). The aim was to determine whether there were alterations in pupil and blink responses in LLD compared to both OLD and YOUNG groups. RESULTS LLD patients displayed significantly higher blink rates and dampened pupil constriction responses compared to OLD and YOUNG controls. While tonic pupil size in YOUNG differed from that of OLD, LLD patients did not exhibit a significant difference compared to OLD and YOUNG controls. GDS-15 scores in older adults correlated with light and darkness reflex response variability and blink rates. PHQ-15 scores showed a correlation with blink rates, while MoCA scores correlated with tonic pupil sizes. CONCLUSIONS The findings demonstrate that LLD patients display altered pupil and blink behavior compared to OLD and YOUNG controls. These altered responses correlated differently with the severity of depressive, somatic, and cognitive symptoms, indicating their potential as objective biomarkers for LLD.
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Affiliation(s)
- Yao-Tung Lee
- Department of Psychiatry, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan
- Department of Psychiatry, Far Eastern Memorial Hospital, New Taipei City, Taiwan
- Department of Psychiatry, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Yi-Hsuan Chang
- Eye-Tracking Laboratory, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan
- Institute of Cognitive Neuroscience, College of Health Science and Technology, National Central University, Taoyuan City, Taiwan
| | - Hsu-Jung Tsai
- Eye-Tracking Laboratory, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan
| | - Shu-Ping Chao
- Taipei Neuroscience Institute, Taipei Medical University, New Taipei City, Taiwan
- Dementia Center, Department of Neurology, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan
| | - David Yen-Ting Chen
- Department of Medical Image, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan
- Department of Radiology, School of Medicine, College of Medicine, Taipei Medical University, Taipei City, Taiwan
| | - Jui-Tai Chen
- Department of Anesthesiology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
- Department of Anesthesiology, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan
| | - Yih-Giun Cherng
- Department of Anesthesiology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
- Department of Anesthesiology, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan
| | - Chin-An Wang
- Eye-Tracking Laboratory, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan.
- Department of Anesthesiology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan.
- Department of Anesthesiology, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan.
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Wescott DL, Hasler BP, Franzen PL, Taylor ML, Klevens AM, Gamlin P, Siegle GJ, Roecklein KA. Circadian photoentrainment varies by season and depressed state: associations between light sensitivity and sleep and circadian timing. Sleep 2024; 47:zsae066. [PMID: 38530635 PMCID: PMC11168757 DOI: 10.1093/sleep/zsae066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Revised: 02/08/2024] [Indexed: 03/28/2024] Open
Abstract
STUDY OBJECTIVES Altered light sensitivity may be an underlying vulnerability for disrupted circadian photoentrainment. The photic information necessary for circadian photoentrainment is sent to the circadian clock from melanopsin-containing intrinsically photosensitive retinal ganglion cells (ipRGCs). The current study tested whether the responsivity of ipRGCs measured using the post-illumination pupil response (PIPR) was associated with circadian phase, sleep timing, and circadian alignment, and if these relationships varied by season or depression severity. METHODS Adult participants (N = 323, agem = 40.5, agesd = 13.5) with varying depression severity were recruited during the summer (n = 154) and winter (n = 169) months. Light sensitivity was measured using the PIPR. Circadian phase was assessed using Dim Light Melatonin Onset (DLMO) on Friday evenings. Midsleep was measured using actigraphy. Circadian alignment was calculated as the DLMO-midsleep phase angle. Multilevel regression models covaried for age, gender, and time since wake of PIPR assessment. RESULTS Greater light sensitivity was associated with later circadian phase in summer but not in winter (β = 0.23; p = 0.03). Greater light sensitivity was associated with shorter DLMO-midsleep phase angles (β = 0.20; p = 0.03) in minimal depression but not in moderate depression (SIGHSAD < 6.6; Johnson-Neyman region of significance). CONCLUSIONS Light sensitivity measured by the PIPR was associated with circadian phase during the summer but not in winter, suggesting ipRGC functioning in humans may affect circadian entrainment when external zeitgebers are robust. Light sensitivity was associated with circadian alignment only in participants with minimal depression, suggesting circadian photoentrainment, a possible driver of mood, may be decreased in depression year-round, similar to decreased photoentrainment in winter.
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Affiliation(s)
| | - Brant P Hasler
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Peter L Franzen
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Maddison L Taylor
- Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Alison M Klevens
- Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Paul Gamlin
- Department of Ophthalmology and Visual Sciences, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Greg J Siegle
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
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Kosanovic Rajacic B, Sagud M, Pivac N, Begic D. Illuminating the way: the role of bright light therapy in the treatment of depression. Expert Rev Neurother 2023; 23:1157-1171. [PMID: 37882458 DOI: 10.1080/14737175.2023.2273396] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2023] [Accepted: 10/17/2023] [Indexed: 10/27/2023]
Abstract
INTRODUCTION Despite the growing number of different therapeutic options, treatment of depression is still a challenge. A broader perspective reveals the benefits of bright light therapy (BLT). It stimulates intrinsically photosensitive retinal ganglion cells, which induces a complex cascade of events, including alterations in melatonergic, neurotrophic, GABAergic, glutamatergic, noradrenergic, serotonergic systems, and HPA axis, suggesting that BLT effects expand beyond the circadian pacemaker. AREAS COVERED In this review, the authors present and discuss recent data of BLT in major depressive disorder, non-seasonal depression, bipolar depression or depressive phase of bipolar disorder, and seasonal affective disorder, as well as in treatment-resistant depression (TRD). The authors further highlight BLT effects in various depressive disorders compared to placebo and report data from several studies suggesting a response to BLT in TRD. Also, the authors report data showing that BLT can be used both as a monotherapy or in combination with other pharmacological treatments. EXPERT OPINION BLT is an easy-to-use and low-budget therapy with good tolerability. Future studies should focus on clinical and biological predictors of response to BLT, on defining specific populations which may benefit from BLT and establishing treatment protocols regarding timing, frequency, and duration of BLT.
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Affiliation(s)
- Biljana Kosanovic Rajacic
- Department for Psychiatry and Psychological Medicine, University Hospital Centre Zagreb, Zagreb, Croatia
| | - Marina Sagud
- Department for Psychiatry and Psychological Medicine, University Hospital Centre Zagreb, Zagreb, Croatia
- School of Medicine University of Zagreb, Zagreb, Croatia
| | - Nela Pivac
- Laboratory for Molecular Neuropsychiatry, Division of Molecular Medicine, Ruder Boskovic Institute, Zagreb, Croatia
- University of Applied Sciences Hrvatsko Zagorje Krapina, Croatian Zagorje Polytechnic Krapina, Krapina, Croatia
| | - Drazen Begic
- Department for Psychiatry and Psychological Medicine, University Hospital Centre Zagreb, Zagreb, Croatia
- School of Medicine University of Zagreb, Zagreb, Croatia
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Fu Y, Liu S, Dong Y, Gan Y, Guo X, Liu H, Xu Q, Yuan R, Ning A, Hong W, Peng Y, Yu S. Chronic restraint stress-induced depression-like behavior is mediated by upregulation of melanopsin expression in C57BL/6 mice retina. Psychopharmacology (Berl) 2023; 240:283-293. [PMID: 36580134 DOI: 10.1007/s00213-022-06302-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Accepted: 12/15/2022] [Indexed: 12/30/2022]
Abstract
BACKGROUND Depression is associated with circadian disturbances in which melanopsin was a key mechanism. Further studies have demonstrated that melanopsin gene variations are associated with some depressive disorders and aberrant light can impair mood through melanopsin-expressing retinal ganglion cells (mRGCs). The goal of this study was to explore the direct relationship between depression and melanopsin. METHODS Adult C57BL/6 male mice were physically restrained for 16 h in a 50-ml polypropylene centrifuge tube and all behavioral tests were performed after CRS treatment. Western blot analysis and immunofluorescence were used to detect melanopsin expression in the retina of C57BL/6 mice. And we observed the change of the electrophysiological function and release of glutamate of mRGCs. RESULTS The melanopsin expression upregulate in mRGCs of chronic restraint stress (CRS)-treating mice which exhibit depression-like behavior. The frequency of blue light-induced action potentials and light-induced glutamate release mediated by melanopsin also increase significantly. This change of melanopsin is mediated by the CRS-induced glucocorticoid. CONCLUSIONS CRS may induce the depression-like behavior in mice via glucocorticoid-melanopsin pathway. Our findings provide a novel mechanistic link between CRS-induced depression and melanopsin in mice.
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Affiliation(s)
- Yingmei Fu
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Shanshan Liu
- Department of Anesthesiology, Nanjing Drum Tower Hospital, Nanjing, China
| | - Yigang Dong
- Key Laboratory of Adolescent Health Assessment and Exercise Intervention of Ministry of Education, School of Physical Education & Health Care, East China Normal University, Shanghai, 200241, China
| | - Yixia Gan
- Key Laboratory of Adolescent Health Assessment and Exercise Intervention of Ministry of Education, School of Physical Education & Health Care, East China Normal University, Shanghai, 200241, China
| | - Xiaoyun Guo
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hongmei Liu
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qingqing Xu
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ruixue Yuan
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ailing Ning
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wu Hong
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yanmin Peng
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Shunying Yu
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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Wescott DL, Wallace ML, Hasler BP, Klevens AM, Franzen PL, Hall MH, Roecklein KA. Sleep and circadian rhythm profiles in seasonal depression. J Psychiatr Res 2022; 156:114-121. [PMID: 36244199 DOI: 10.1016/j.jpsychires.2022.10.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Revised: 07/09/2022] [Accepted: 10/03/2022] [Indexed: 11/07/2022]
Abstract
Sleep and circadian rhythm disruptions are symptoms of, and hypothesized underlying mechanisms in, seasonal depression. Discrepant observational findings and mixed responses to sleep/circadian-based treatments suggest heterogenous sleep and circadian disruptions in seasonal depression, despite these disruptions historically conceptualized as delayed circadian phase and hypersomnia. This study used a data-driven cluster analysis to characterize sleep/circadian profiles in seasonal depression to identify treatment targets for future interventions. Biobehavioral measures of sleep and circadian rhythms were assessed during the winter in individuals with Seasonal Affective Disorder (SAD), subsyndromal-SAD (S-SAD), or nonseasonal, never depressed controls (total sample N = 103). The following variables were used in the cluster analysis: circadian phase (from dim light melatonin onset), midsleep timing, total sleep time, sleep efficiency, regularity of midsleep timing, and nap duration (all from wrist actigraphy). Sleep and circadian variables were compared across clusters and controls. Despite limited sleep/circadian differences between diagnostic groups, there were two reliable (Jaccard Coefficients >0.75) sleep/circadian profiles in SAD/S-SAD individuals: a 'Disrupted sleep' cluster, characterized by irregular and fragmented sleep and an 'Advanced' cluster, characterized by early sleep and circadian timing and longer total sleep times (>7.5 h). Clusters did not differ by depression severity. Midsleep correlated with DLMO (r = 0.56), irregularity (r = 0.3), and total sleep time (r = -0.27). Sleep and circadian disruptions in seasonal depression are not uniformly characterized by hypersomnia and circadian phase delay. Presence of distinct sleep and circadian subgroups in seasonal depression may predict successful treatment response. Prospective assessment and tailoring of individual sleep and circadian disruptions may reduce treatment failures.
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Affiliation(s)
- Delainey L Wescott
- Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA.
| | - Meredith L Wallace
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA; Department of Statistics, University of Pittsburgh, Pittsburgh, PA, USA
| | - Brant P Hasler
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Alison M Klevens
- Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Peter L Franzen
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Martica H Hall
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Kathryn A Roecklein
- Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA; Center for the Neural Basis of Behavior, University of Pittsburgh, Pittsburgh, PA, USA
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Burgess HJ, Rizvydeen M, Kikyo F, Kebbeh N, Tan M, Roecklein KA, Hasler BP, King AC, Cao D. Sleep and circadian differences between light and heavy adult alcohol drinkers. Alcohol Clin Exp Res 2022; 46:1181-1191. [PMID: 35908247 PMCID: PMC9357170 DOI: 10.1111/acer.14872] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Revised: 05/03/2022] [Accepted: 05/09/2022] [Indexed: 12/01/2022]
Abstract
Background Numerous studies have reported that eveningness is associated with increased alcohol consumption. However, biological markers of circadian timing, such as dim light melatonin onset (DLMO) and circadian photoreceptor responsivity (post‐illumination pupil response, PIPR), have rarely been assessed in the context of habitual alcohol consumption. This study aimed to examine sleep, circadian timing, and photoreceptor responsivity in adult alcohol drinkers. Methods Participants (21 to 45 years) included 28 light and 50 heavy drinkers. The 8‐day study consisted of a week of adlib sleep monitored with wrist actigraphy, followed by a 9‐h laboratory session with a photoreceptor responsivity and circadian phase assessment. Results The heavy drinkers obtained on average 28 more minutes of sleep (p = 0.002) and reported more eveningness than the light drinkers (p = 0.029). There was a trend for a shorter DLMO‐midsleep interval (p = 0.059) in the heavy drinkers, reflecting a tendency for them to sleep at an earlier circadian phase. The PIPR in the heavy drinkers was significantly smaller than in the light drinkers (p = 0.032), suggesting reduced circadian photoreceptor responsivity in the heavy drinkers. A larger PIPR was significantly associated with a later DLMO in the light drinkers (r = 0.44, p = 0.019), but this relationship was absent in the heavy drinkers (r = −0.01, p = 0.94). Conclusions These results are consistent with earlier reports of more eveningness and a shorter DLMO‐midsleep interval being associated with heavier alcohol drinking. The novel finding of reduced circadian photoreceptor responsivity in heavy drinkers is consistent with prior rodent studies. Future studies should explore the impact of habitual alcohol consumption on other measures of circadian photoreceptor responsivity.
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Affiliation(s)
- Helen J Burgess
- Department of Psychiatry, University of Michigan, Ann Arbor, Michigan, USA
| | - Muneer Rizvydeen
- Department of Psychiatry, University of Michigan, Ann Arbor, Michigan, USA
| | - Fumitaka Kikyo
- Department of Ophthalmology and Visual Sciences, University of Illinois at Chicago, Chicago, Illinois, USA
| | - Nema Kebbeh
- Department of Psychiatry, University of Michigan, Ann Arbor, Michigan, USA
| | - Michael Tan
- Department of Ophthalmology and Visual Sciences, University of Illinois at Chicago, Chicago, Illinois, USA
| | - Kathryn A Roecklein
- Department of Psychology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Brant P Hasler
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Andrea C King
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, Illinois, USA
| | - Dingcai Cao
- Department of Ophthalmology and Visual Sciences, University of Illinois at Chicago, Chicago, Illinois, USA
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Rohan KJ, Franzen PL, Roeckelin KA, Siegle GJ, Kolko DJ, Postolache TT, Vacek PM. Elucidating treatment targets and mediators within a confirmatory efficacy trial: study protocol for a randomized controlled trial of cognitive-behavioral therapy vs. light therapy for winter depression. Trials 2022; 23:383. [PMID: 35550645 PMCID: PMC9096056 DOI: 10.1186/s13063-022-06330-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Accepted: 04/23/2022] [Indexed: 12/05/2022] Open
Abstract
BACKGROUND This study is a confirmatory efficacy trial of two treatments for winter seasonal affective disorder (SAD): SAD-tailored group cognitive-behavioral therapy (CBT-SAD) and light therapy (LT). In our previous efficacy trial, post-treatment outcomes for CBT-SAD and LT were very similar, but CBT-SAD was associated with fewer depression recurrences two winters later than LT (27.3% in CBT-SAD vs. 45.6% in LT). CBT-SAD engaged and altered a specific mechanism of action, seasonal beliefs, which mediated CBT-SAD's acute antidepressant effects and CBT-SAD's enduring benefit over LT. Seasonal beliefs are theoretically distinct from LT's assumed target and mechanism: correction of circadian phase. This study applies the experimental therapeutics approach to determine how each treatment works when it is effective and to identify the best candidates for each. Biomarkers of LT's target and effect include circadian phase angle difference and the post-illumination pupil response. Biomarkers of CBT-SAD's target and effect include decreased pupillary and sustained frontal gamma-band EEG responses to seasonal words, which are hypothesized as biomarkers of seasonal beliefs, reflecting less engagement with seasonal stimuli following CBT-SAD. In addition to determining change mechanisms, this study tests the efficacy of a "switch" decision rule upon recurrence to inform clinical decision-making in practice. METHODS Adults with SAD (target N = 160) will be randomzied to 6-weeks of CBT-SAD or LT in winter 1; followed in winter 2; and, if a depression recurrence occurs, offered cross-over into the alternate treatment (i.e., switch from LT➔CBT-SAD or CBT-SAD➔LT). All subjects will be followed in winter 3. Biomarker assessments occur at pre-, mid-, and post-treatment in winter 1, at winter 2 follow-up (and again at mid-/post-treatment for those crossed-over), and at winter 3 follow-up. Primary efficacy analyses will test superiority of CBT-SAD over LT on depression recurrence status (the primary outcome). Mediation analyses will use parallel process latent growth curve modeling. DISCUSSION Consistent with the National Institute of Mental Health's priorities for demonstrating target engagement at the level of Research Domain Criteria-relevant biomarkers, this work aims to confirm the targets and mechanisms of LT and CBT-SAD to maximize the impact of future dissemination efforts. TRIAL REGISTRATION ClinicalTrials.gov identifier: NCT03691792 . Registered on October 2, 2018.
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Affiliation(s)
- Kelly J. Rohan
- Department of Psychological Science, University of Vermont, 2 Colchester Avenue, Burlington, VT 05405-0134 USA
| | - Peter L. Franzen
- Department of Psychiatry, University of Pittsburgh, Thomas Detre Hall, 3811 O’Hara Street, Pittsburgh, PA 15213 USA
| | - Kathryn A. Roeckelin
- Department of Psychology, University of Pittsburgh, 4110 Sennott Square, 210 S Bouquet Street, Pittsburgh, PA 15260 USA
| | - Greg J. Siegle
- Department of Psychiatry, University of Pittsburgh, Thomas Detre Hall, 3811 O’Hara Street, Pittsburgh, PA 15213 USA
| | - David J. Kolko
- Department of Psychiatry, University of Pittsburgh, Thomas Detre Hall, 3811 O’Hara Street, Pittsburgh, PA 15213 USA
| | - Teodor T. Postolache
- University of Maryland School of Medicine, 655 West Baltimore Street, Baltimore, MD 21201-1559 USA
| | - Pamela M. Vacek
- Biomedical Statistics Research Core, University of Vermont Larner College of Medicine, 25 Hills Building, 111 Colchester Avenue, Burlington, VT 05401-0134 USA
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McCarthy MJ, Gottlieb JF, Gonzalez R, McClung CA, Alloy LB, Cain S, Dulcis D, Etain B, Frey BN, Garbazza C, Ketchesin KD, Landgraf D, Lee H, Marie‐Claire C, Nusslock R, Porcu A, Porter R, Ritter P, Scott J, Smith D, Swartz HA, Murray G. Neurobiological and behavioral mechanisms of circadian rhythm disruption in bipolar disorder: A critical multi-disciplinary literature review and agenda for future research from the ISBD task force on chronobiology. Bipolar Disord 2022; 24:232-263. [PMID: 34850507 PMCID: PMC9149148 DOI: 10.1111/bdi.13165] [Citation(s) in RCA: 32] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
AIM Symptoms of bipolar disorder (BD) include changes in mood, activity, energy, sleep, and appetite. Since many of these processes are regulated by circadian function, circadian rhythm disturbance has been examined as a biological feature underlying BD. The International Society for Bipolar Disorders Chronobiology Task Force (CTF) was commissioned to review evidence for neurobiological and behavioral mechanisms pertinent to BD. METHOD Drawing upon expertise in animal models, biomarkers, physiology, and behavior, CTF analyzed the relevant cross-disciplinary literature to precisely frame the discussion around circadian rhythm disruption in BD, highlight key findings, and for the first time integrate findings across levels of analysis to develop an internally consistent, coherent theoretical framework. RESULTS Evidence from multiple sources implicates the circadian system in mood regulation, with corresponding associations with BD diagnoses and mood-related traits reported across genetic, cellular, physiological, and behavioral domains. However, circadian disruption does not appear to be specific to BD and is present across a variety of high-risk, prodromal, and syndromic psychiatric disorders. Substantial variability and ambiguity among the definitions, concepts and assumptions underlying the research have limited replication and the emergence of consensus findings. CONCLUSIONS Future research in circadian rhythms and its role in BD is warranted. Well-powered studies that carefully define associations between BD-related and chronobiologically-related constructs, and integrate across levels of analysis will be most illuminating.
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Affiliation(s)
- Michael J. McCarthy
- UC San Diego Department of Psychiatry & Center for Circadian BiologyLa JollaCaliforniaUSA
- VA San Diego Healthcare SystemSan DiegoCaliforniaUSA
| | - John F. Gottlieb
- Department of PsychiatryFeinberg School of MedicineNorthwestern UniversityChicagoIllinoisUSA
| | - Robert Gonzalez
- Department of Psychiatry and Behavioral HealthPennsylvania State UniversityHersheyPennsylvaniaUSA
| | - Colleen A. McClung
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Lauren B. Alloy
- Department of PsychologyTemple UniversityPhiladelphiaPennsylvaniaUSA
| | - Sean Cain
- School of Psychological Sciences and Turner Institute for Brain and Mental HealthMonash UniversityMelbourneVictoriaAustralia
| | - Davide Dulcis
- UC San Diego Department of Psychiatry & Center for Circadian BiologyLa JollaCaliforniaUSA
| | - Bruno Etain
- Université de ParisINSERM UMR‐S 1144ParisFrance
| | - Benicio N. Frey
- Department Psychiatry and Behavioral NeuroscienceMcMaster UniversityHamiltonOntarioCanada
| | - Corrado Garbazza
- Centre for ChronobiologyPsychiatric Hospital of the University of Basel and Transfaculty Research Platform Molecular and Cognitive NeurosciencesUniversity of BaselBaselSwitzerland
| | - Kyle D. Ketchesin
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Dominic Landgraf
- Circadian Biology GroupDepartment of Molecular NeurobiologyClinic of Psychiatry and PsychotherapyUniversity HospitalLudwig Maximilian UniversityMunichGermany
| | - Heon‐Jeong Lee
- Department of Psychiatry and Chronobiology InstituteKorea UniversitySeoulSouth Korea
| | | | - Robin Nusslock
- Department of Psychology and Institute for Policy ResearchNorthwestern UniversityChicagoIllinoisUSA
| | - Alessandra Porcu
- UC San Diego Department of Psychiatry & Center for Circadian BiologyLa JollaCaliforniaUSA
| | | | - Philipp Ritter
- Clinic for Psychiatry and PsychotherapyCarl Gustav Carus University Hospital and Technical University of DresdenDresdenGermany
| | - Jan Scott
- Institute of NeuroscienceNewcastle UniversityNewcastleUK
| | - Daniel Smith
- Division of PsychiatryUniversity of EdinburghEdinburghUK
| | - Holly A. Swartz
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Greg Murray
- Centre for Mental HealthSwinburne University of TechnologyMelbourneVictoriaAustralia
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Steinhauer SR, Bradley MM, Siegle GJ, Roecklein KA, Dix A. Publication guidelines and recommendations for pupillary measurement in psychophysiological studies. Psychophysiology 2022; 59:e14035. [PMID: 35318693 PMCID: PMC9272460 DOI: 10.1111/psyp.14035] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Accepted: 02/11/2022] [Indexed: 11/27/2022]
Abstract
A variety of psychological and physical phenomena elicit variations in the diameter of pupil of the eye. Changes in pupil size are mediated by the relative activation of the sphincter pupillae muscle (decrease pupil diameter) and the dilator pupillae muscle (increase pupil diameter), innervated by the parasympathetic and sympathetic branches, respectively, of the autonomic nervous system. The current guidelines are intended to inform and guide psychophysiological research involving pupil measurement by (1) summarizing important aspects concerning the physiology of the pupil, (2) providing methodological and data-analytic guidelines and recommendations, and (3) briefly reviewing psychological phenomena that modulate pupillary reactivity. Because of the increased ease and tractability of pupil measurement, the goal of these guidelines is to promote accurate recording, analysis, and reporting of pupillary data in psychophysiological research.
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Affiliation(s)
- Stuart R. Steinhauer
- Veterans Affairs Pittsburgh Healthcare System, VISN 4 MIRECC, Pittsburgh, PA, USA
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | | | - Greg J. Siegle
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
- Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA
| | | | - Annika Dix
- Faculty of Psychology, Technische Universität Dresden, Dresden, Germany
- Centre for Tactile Internet with Human-in-the-Loop (CeTI), Technische Universität Dresden, Dresden, Germany
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12
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Spitschan M, Santhi N. Individual differences and diversity in human physiological responses to light. EBioMedicine 2022; 75:103640. [PMID: 35027334 PMCID: PMC8808156 DOI: 10.1016/j.ebiom.2021.103640] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Revised: 08/18/2021] [Accepted: 10/06/2021] [Indexed: 02/01/2023] Open
Abstract
Exposure to light affects our physiology and behaviour through a pathway connecting the retina to the circadian pacemaker in the hypothalamus - the suprachiasmatic nucleus (SCN). Recent research has identified significant individual differences in the non-visual effects of light,mediated by this pathway. Here, we discuss the fundamentals and individual differences in the non-visual effects of light. We propose a set of actions to improve our evidence database to be more diverse: understanding systematic bias in the evidence base, dedicated efforts to recruit more diverse participants, routine deposition and sharing of data, and development of data standards and reporting guidelines.
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Affiliation(s)
- Manuel Spitschan
- Max Planck Institute for Biological Cybernetics, Tübingen, Germany; Department of Sport and Health Sciences, Technical University of Munich, Munich, Germany; Department of Experimental Psychology, University of Oxford, United Kingdom.
| | - Nayantara Santhi
- Department of Psychology, Northumbria University, United Kingdom.
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