| Literature DB >> 30631285 |
Clara Snijders1, Lotta-Katrin Pries1, Noemi Sgammeglia1, Ghazi Al Jowf1,2,3, Nagy A Youssef4,5, Laurence de Nijs1, Sinan Guloksuz1,6, Bart P F Rutten1.
Abstract
Given the high prevalence of stress-related mental disorders, their impact on person, family, and society and the paucity of treatment options for most of these disorders, there is currently a pressing need for innovative approaches to deal with these issues and enhance well-being. One approach which has received increasing attention over the last decade is to shift our scientific and clinical focus from risk factors for psychopathology to factors promoting resilience and mental well-being. In order to summarize and evaluate the current state of scientific affairs on the biological basis of resilience, we provide an overview of the literature on animal and human studies of resilience. Because resilience can only truly be operationalized through longitudinal data collection and analyses, we focus primarily on longitudinal studies. This review shows that the concept of resilience is currently being operationalized, measured and even defined in widely variable manners, both within animal and human studies. We further provide an overview of existing and new strategies that could help promote resilience and which are proposed to be implemented more often in clinical situations. Finally, we summarize the challenges the field is facing and provide recommendations for future research.Entities:
Keywords: prospective longitudinal studies; resilience; resilience-promoting interventions; review; stress
Year: 2018 PMID: 30631285 PMCID: PMC6315131 DOI: 10.3389/fpsyt.2018.00676
Source DB: PubMed Journal: Front Psychiatry ISSN: 1664-0640 Impact factor: 4.157
Longitudinal animal studies assessing biological outcomes associated with differential susceptibility to stress.
| Chen et al. ( | Male | 7 days of chronic social defeat stress | Circulating miRNAs (tail blood) | ↓ Pre-stress miR-24-2-5p, miR-27a-3p, miR-30e-5p, miR-362-3p, associates with future vulnerability to chronic social stress. ↓ Post-stress miR-139-5p, miR-28-3p, miR-326-3p, miR-99b-5p associates with ongoing resilience. |
| Hodes et al. ( | Male | 10 days of repeated social defeat stress | Blood leukocytes and IL-6 levels | Higher pre-stress leukocyte levels in mice that later became stress vulnerable. Higher IL-6 levels following acute stress, only in those mice that later became stress vulnerable. |
| Kim et al. ( | Male C57BL/6N mice | Chronic restraint stress | Plasma corticosterone | Longitudinal changes in corticosterone reflect differential stress susceptibility and pre-stress corticosterone predicts post-stress susceptibility or resilience. |
| Magalhaes et al. ( | Male Wistar rats | 3 weeks of chronic unpredictable stress | Neuroimaging—functional connectivity and structural changes | Pre-stress differences in functional connectivity in brainstem-limbic area between susceptible and resilient rats. |
| Rasmussen et al. ( | Male Wistar rats | Inescapable footshock + weekly 1-min reminders for 6 weeks | Acoustic startle response | ↑ Pre-stress acoustic startle response = ↑ post-stress plasma corticosterone levels and ↑ post-stress acoustic startle response. |
| Tse et al. ( | Male C57BL/6 mice | 10 days of chronic social defeat stress | Hippocampal volume | ↑ Post-stress left hippocampal volume in resilient and control mice. |
Studies were listed in alphabetical order based on the surname of the first author. miRNAs: microRNAs. IL-6: interleukin-6.
Longitudinal human studies assessing biological outcomes associated with differential susceptibility to stress.
| Clark et al. ( | RINGS; Male soldiers: | Deployment | PTSD | Met/Met and Val/Val genotypes had stronger trauma-responses than the Val/Met genotype. |
| Wald et al. ( | Israeli Defense Force; Male soldiers: | Deployment | PTSD | Threat bias interacted with combat exposure and threat bias interacted with combat exposure and 5-HTTLPR. |
| Rutten et al. ( | PRISMO and MRS; Male soldiers/marines: | Deployment | PTSD | Genome-wide changes at 17 positions and 12 regions were associated with PTSD status. |
| Schur et al. ( | PRISMO, Male soldiers: | Deployment | Mental health and PTSD | Pre-deployment GR-1F region (52 loci) methylation did not predict mental health or PTSD status. |
| Van Zuiden et al. ( | PRISMO Male soldiers: | Deployment | PTSD | mRNA expression of GR–α, GR-P, GR-β, glucocorticoid- induced leucine zipper (GILZ), serum and glucocorticoid-inducible kinase-1 (SGK-1), or FKBP5 does not predict PTSD status. |
| Breen et al. ( | MRS II and MRS; Male marines: | Deployment | PTSD | PTSD status associated with gene co-expression networks related to innate immune responses. |
| Eraly et al. ( | MRS, Male marines: | Deployment | PTSD | Baseline plasma levels of C-reactive protein (CRP) predicted PTSD symptoms. |
| Smid et al. ( | PRISMO, | Deployment | PTSD | Interaction between cytokine production, stress exposure during combat and post-deployment stressful life events. |
| Torshizi et al. ( | MRS II and MRS; Male marines: | Deployment | PTSD | PTSD status associated with gene co-expression network master regulators: SOX3, TNFAIP3, TRAFD1, POU3F3, STAT2, and PML. |
| Reijnen et al. ( | PRISMO, Male soldiers: | Deployment | PTSD | No moderating effect of plasma oxytocin and arginine vasopressin on stress-related PTSD development. |
| Steudte-Schmiedgen et al. ( | PID-PTSD+3, Male soldiers | Deployment | PTSD | Decreased baseline hair cortisol and cortisol stress predict higher stress-related PTSD. |
| Trautmann et al. ( | PID-PTSD+3, Male soldiers | Deployment | Alcohol consumption | Decreased baseline hair cortisol stress predict higher stress-related alcohol use. |
| Van Zuiden et al. ( | PRISMO, Male soldiers: | Deployment | PTSD | Plasma cortisol does not predict PTSD status. |
MRS, MRS II, Marine Resiliency Study I, II; PID-PTSD.