TY - JOUR
T1 - The association between adiposity and atypical energy-related symptoms of depression
T2 - A role for metabolic dysregulations
AU - Alshehri, Tahani
AU - Mook-Kanamori, Dennis O.
AU - de Mutsert, Renée
AU - Penninx, Brenda W. JH
AU - Rosendaal, Frits R.
AU - le Cessie, Saskia
AU - Milaneschi, Yuri
N1 - Funding Information: NESDA The infrastructure for the NESDA study ( www.nesda.nl ) is funded through the Geestkracht program of the Netherlands Organization for Health Research and Development (ZonMw, grant number: 10-000-1002) and financial contributions by participating universities and mental health care organizations (VU University Medical Center, GGZ inGeest, Leiden University Medical Center, Leiden University, GGZ Rivierduinen, University Medical Center Groningen, University of Groningen, Lentis, GGZ Friesland, GGZ Drenthe, Rob Giel Onderzoekscentrum). NEO study The NEO study is supported by the participating Departments, Division, and Board of Directors of the Leiden University Medical Center, and by the Leiden University, Research Profile Area Vascular and Regenerative Medicine. DOM-K is supported by Dutch Science Organization (ZonMW-VENI Grant No. 916.14.023). We express our gratitude to all participants of the Netherlands Epidemiology of Obesity (NEO) study, in addition to all participating general practitioners. We furthermore thank P.R. van Beelen and all research nurses for collecting the data, P.J. Noordijk and her team for sample handling and storage, and I. de Jonge for data management of the NEO study. Finally, we would like to express our gratitude to Dr R. Noordam for extracting the genetics data in this study and answering our related questions. Publisher Copyright: © 2022 The Authors
PY - 2023/2/1
Y1 - 2023/2/1
N2 - Background: Adiposity has been shown to be linked with atypical energy-related symptoms (AES) of depression. We used genomics to separate the effect of adiposity from that of metabolic dysregulations to examine whether the link between obesity and AES is dependent on the presence of metabolic dysregulations. Method: Data were from NEO (n = 5734 individuals) and NESDA (n = 2238 individuals) cohorts, in which the Inventory of Depressive Symptomatology (IDS-SR30) was assessed. AES profile was based on four symptoms: increased appetite, increased weight, low energy level, and leaden paralysis. We estimated associations between AES and two genetic risk scores (GRS) indexing increasing total body fat with (metabolically unhealthy adiposity, GRS-MUA) and without (metabolically healthy adiposity, GRS-MHA) metabolic dysregulations. Results: We validated that both GRS-MUA and GRS-MHA were associated with higher total body fat in NEO study, but divergently associated with biomarkers of metabolic health (e.g., fasting glucose and HDL-cholesterol) in both cohorts. In the pooled results, per standard deviation, GRS-MUA was specifically associated with a higher AES score (β = 0.03, 95%CI: 0.01; 0.05), while there was no association between GRS-MHA and AES (β = −0.01, 95%CI: −0.03; 0.01). Conclusion: These results suggest that the established link between adiposity and AES profile emerges in the presence of metabolic dysregulations, which may represent the connecting substrate between the two conditions.
AB - Background: Adiposity has been shown to be linked with atypical energy-related symptoms (AES) of depression. We used genomics to separate the effect of adiposity from that of metabolic dysregulations to examine whether the link between obesity and AES is dependent on the presence of metabolic dysregulations. Method: Data were from NEO (n = 5734 individuals) and NESDA (n = 2238 individuals) cohorts, in which the Inventory of Depressive Symptomatology (IDS-SR30) was assessed. AES profile was based on four symptoms: increased appetite, increased weight, low energy level, and leaden paralysis. We estimated associations between AES and two genetic risk scores (GRS) indexing increasing total body fat with (metabolically unhealthy adiposity, GRS-MUA) and without (metabolically healthy adiposity, GRS-MHA) metabolic dysregulations. Results: We validated that both GRS-MUA and GRS-MHA were associated with higher total body fat in NEO study, but divergently associated with biomarkers of metabolic health (e.g., fasting glucose and HDL-cholesterol) in both cohorts. In the pooled results, per standard deviation, GRS-MUA was specifically associated with a higher AES score (β = 0.03, 95%CI: 0.01; 0.05), while there was no association between GRS-MHA and AES (β = −0.01, 95%CI: −0.03; 0.01). Conclusion: These results suggest that the established link between adiposity and AES profile emerges in the presence of metabolic dysregulations, which may represent the connecting substrate between the two conditions.
KW - Body Fat Distribution
KW - Body Mass Index
KW - Depression
KW - Genetic risk score
KW - Homeostasis
KW - Metabolic Syndrome
UR - http://www.scopus.com/inward/record.url?scp=85143694346&partnerID=8YFLogxK
U2 - https://doi.org/10.1016/j.bbi.2022.12.005
DO - https://doi.org/10.1016/j.bbi.2022.12.005
M3 - Article
C2 - 36494049
SN - 0889-1591
VL - 108
SP - 197
EP - 203
JO - Brain, behavior, and immunity
JF - Brain, behavior, and immunity
ER -