Results 11 to 20 of about 4,380 (145)

Methylomic biomarkers of lithium response in bipolar disorder: a clinical utility study [PDF]

open access: yesInternational Journal of Bipolar Disorders, 2023
Background Response to lithium (Li) is highly variable in bipolar disorders (BD). Despite decades of research, no clinical predictor(s) of response to Li prophylaxis have been consistently identified.
C. Marie-Claire   +6 more
doaj   +2 more sources

Telomere length and mitochondrial DNA copy number in bipolar disorder: identification of a subgroup of young individuals with accelerated cellular aging [PDF]

open access: yesTranslational Psychiatry, 2022
The 10–15-years decrease in life expectancy observed in individuals with bipolar disorder (BD) has been linked to the concept of accelerated cellular aging. Telomere length (TL) and mitochondrial DNA copy number (mtDNAcn) have been proposed as markers of
L. Spano   +7 more
doaj   +2 more sources

Association Between Metabolic Syndrome, Obesity, and Cognitive Performances in Individuals With Bipolar Disorders: Cross-Sectional and Longitudinal Analyses in the FACE-BD Cohort. [PDF]

open access: yesActa Psychiatr Scand
ABSTRACT Introduction Metabolic syndrome (MetS) has been suggested to be associated with cognitive impairments in bipolar disorder (BD); however, studies are limited by small sample sizes or cross‐sectional design. Our objective is to evaluate the cross‐sectional and longitudinal associations between MetS and cognitive performances in a large cohort of
Palimaru I   +20 more
europepmc   +2 more sources

Towards a Planetary Health Impact Assessment Framework: Exploring Expert Knowledge and Artificial Intelligence for a RF-EMF Exposure Case-Study. [PDF]

open access: yesBioelectromagnetics
ABSTRACT While recent WHO systematic reviews have comprehensively assessed the direct health effects of radiofrequency electromagnetic field (RF‐EMF) exposure, its potential indirect impacts on human health via ecosystem disruption remain unstudied.
Stefanopoulou M   +6 more
europepmc   +2 more sources

Commentary: 20-Year Trends in the Pharmacologic Treatment of Bipolar Disorder by Psychiatrists in Outpatient Care Settings [PDF]

open access: yesFrontiers in Psychiatry, 2021
Bruno Etain   +10 more
doaj   +2 more sources

Polygenic risk scores for mood disorders and actigraphy estimates of sleep and circadian rhythms: A preliminary study in bipolar disorders. [PDF]

open access: yesJ Sleep Res
Summary In bipolar disorders, abnormalities of sleep patterns and of circadian rhythms of activity are observed during mood episodes, but also persist during euthymia. Shared vulnerabilities between mood disorders and abnormalities of sleep patterns and circadian rhythms of activity have been suggested.
Hennion V   +7 more
europepmc   +2 more sources

Exploring the Association Between Residual Mood Symptoms and Self-Reported Side Effects in the Euthymic Phase of Bipolar Disorders: A Cross-Sectional Network Analysis. [PDF]

open access: yesDepress Anxiety
Introduction: Bipolar disorders (BD) are characterized by mood symptoms that can worsen medication side effects. We aimed to study the association between residual mood signs and self‐reported side effects in the euthymic phase of BD. Methods: We assessed residual mood signs using the Montgomery–Asberg Depression Rating scale (MADRS) and Young Mania ...
Vidal N   +22 more
europepmc   +2 more sources

Le gisement à étain–cuivre–indium de Charrier (Allier) : un skarnoïde viséen (340 Ma) traceur de la métallogenèse varisque du nord Massif central

open access: yesBSGF - Earth Sciences Bulletin, 2022
Charrier est un petit gisement de cuivre–étain riche en indium de type skarnoïde du Forez (nord du Massif central). Il est encaissé dans une série volcanosédimentaire du Dévono-dinantien au contact du granite viséen des Bois-noirs. Sa genèse comprend une
Marcoux Éric   +2 more
doaj   +1 more source

Contextualizing aging clocks and properly describing biological age. [PDF]

open access: yesAging Cell
Biological age is an abstract concept that helps explain how an individual is functionally aging. Given that aging is a remarkably complex and multifarious process, it is infeasible to quantify biological age with a single aging biomarker. Rather than conflating a given metric with biological age, it makes more sense to conceptualize aging biomarkers ...
Johnson AA, Shokhirev MN.
europepmc   +2 more sources

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