A new chronobiological approach to discriminate between acute and chronic depression using peripheral temperature, rest-activity, and light exposure parameters

Abstract

BackgroundCircadian theories for major depressive disorder have suggested that the rhythm of the circadian pacemaker is misaligned. Stable phase relationships between internal rhythms, such as temperature and rest/activity, and the external day-night cycle, are considered to be crucial for adapting to life in the external environmental. Therefore, the relationship and possible alterations among (i) light exposure, (ii) activity rhythm, and (iii) temperature rhythm could be important factors in clinical depression. This study aimed to investigate the rhythmic alterations in depression and evaluate the ability of chronobiological parameters to discriminate between healthy subjects and depressed patients.MethodsThirty female subjects, including healthy subjects, depressed patients in the first episode, and major recurrent depression patients. Symptoms were assessed using Hamilton Depression Scale, Beck Depression Inventory and Montgomery-Äsberg Scale. Motor activity, temperature, and light values were determined for 7 days by actigraph, and circadian rhythms were calculated.ResultsDepressed groups showed a lower amplitude in the circadian rhythm of activity and light exposure, but a higher amplitude in the rhythm of peripheral temperature. The correlation between temperature and activity values was different in the day and night among the control and depressed groups. For the same level of activity, depressed patients had lowest temperature values during the day. The amplitudes of temperature and activity were the highest discriminant parameters.ConclusionsThese results indicate that the study of rhythms is useful for diagnosis and therapy for depressive mood disorders.

Social rhythm and other chronobiological findings in juvenile myoclonic epilepsy

“…The opposite was true in a study comparing healthy controls with depressed patients. In that study, the difference between day and night in correlations between temperature and activity rhythms was higher in the depressed group than among controls (Moraes et al 2013).…”

Candidate SNP Markers of Chronopathologies Are Predicted by a Significant Change in the Affinity of TATA-Binding Protein for Human Gene Promoters

“…Gene IL1B encodes interleukin 1 β and, in its promoter, contains one of the most widely studied SNP markers (rs1143627) of stomach ulcer, chronic gastritis, gastric cancer, hepatocellular carcinoma, non-small cell lung cancer, Graves' disease, and excess body fat in older men [52–57] as well as major depressive disorder [58] with a circadian optimum for diagnosis and treatment [59] that can be shifted by a high-fat or high-carbohydrate diet [60]. The primary search by keywords uncovered association of IL1B overexpression (with “-31T”) with a bipolar disorder [61] that also has a circadian optimum for diagnosis and treatment depending on the diet [60].…”

Évaluation des troubles thymiques par l’étude des données passives : le concept de phénotype digital à l’épreuve de la culture de métier de psychiatre

“…De même que la VFC, la température corporelle est soumise à des régulations faisant intervenir plusieurs systèmes (neurohormones, hypothalamus, système nerveux autonome) et par conséquent les altérations du tonus sympathique et parasympathique induites par la dépression peuvent aussi se traduire par ce biais. Plusieurs études rapportent une corrélation négative entre la température (prise avec un capteur au niveau d'un doigt) et la dépression [18,19], sauf en ce qui concerne la température nocturne qui serait plus élevée chez les sujets déprimés [20]. Par ailleurs les variations (amplitudes) de température seraient aussi amoindries [21] et il y aurait une avance de phase de 2 à 4 heures [22] chez les sujets déprimés.…”

“…Diminution de la température [18,19] Augmentation de la température nocturne [20] Amplitude diminuée [21] Avance de phase [22] Absence de donnée Absence de donnée Smartphone [24,25] Diminution de l'utilisation du smartphone (nombre de SMS, nombre d'appels) Par ailleurs, les patients bipolaires euthymiques ou unipolaires en rémission semblent aussi avoir des phénotypes digitaux individualisables, notamment par étude de la VFC et de l'actigraphie nocturne [35,38,43,44].…”