Copyright
©The Author(s) 2021.
World J Psychiatr. Nov 19, 2021; 11(11): 997-1016
Published online Nov 19, 2021. doi: 10.5498/wjp.v11.i11.997
Published online Nov 19, 2021. doi: 10.5498/wjp.v11.i11.997
Aetiological Hypotheses | Main mechanisms | Biological disturbances in UDD | Relationship with Diet | Ref. |
Oxidative stress and inflammation | Higher cytokine levels in patients with UDD induce BBB damage and increased permeability to the brain, mainly through claudin 5 dysfunction. Furthermore, oxidative stress and cytokines stimulate the vagal nerve, further promoting a pro-inflammatory in the CNS. | Increased IL-6, TNF-a, C-reactive protein, INT- γ, and other inflammatory cytokines. BBB damage and translocation of cytokines and immune cells into the brain. | Adequate antioxidant intake and lifestyle habits prevent the development of a pro-inflammatory state. | [16,17,19] |
Glucocorticoids and HPA-axis | Chronic stress leads to the constant release of cortisol and eventually a down regulation of cortisol receptors in the hypothalamus. In addition, altered immune responses promote further neuronal damage and other metabolic diseases. | Increased basal cortisol and LPS. | Healthy gut microbiomes prevent the release of LPS and other cytokines into the plasma, limiting the potential damage of stress and theoretically decreasing UDD risk. | |
Altered cortisol circadian rhythm. | ||||
Secondarily, T-cell differentiation and release of inflammatory cytokines. | ||||
Monoamine activity | Inadequate monoamine production and an increased degradation rate, mediated by the MAO enzyme, are related to depressive symptoms. Although current therapy is based on improving monoamine availability in the synapsis, uncertainties remain regarding this hypothesis. | Reduced monoamine formation and activity. | Vit-B12 and folate are necessary for monoamine production. | [28,29,33,34] |
Homocysteine (also homocysteinic acid or cysteine sulfinic acid) has detrimental effects on neurons. | Homocysteine accumulation is a result of Vit-B12 deficiency. | |||
MAO-B activity has been associated with Vit-B12 levels and dietary practices. | ||||
Neuronal development and activity | Altered BDNF function is caused by oxidative stress and inadequate endothelial function. This neurotrophin is essential for neuronal development, synapse formation and cerebral plasticity, in addition to having anti-depressant effects. However, its antidepressant effects are dependent on brain region and therefore not fully understood | Altered BDNF activity and other markers of endothelial function (IL-6, TNF-a, ICAM-1 and VCAM-1). | Antioxidants, MUFA, and PUFA concentrations regulate endothelial function. | [44–46] |
Decreased post-mortem hippocampal and prefrontal cortex volumes. | Vit-B12 promotes the expression of genes that code for BDNF-receptors (Ntrk-2). | |||
The role of Health Related Quality of Life | Lower HRQoL has been associated with depression relapse and increased risk of suicide. | HRQoL is generally lower in patients with depression. Furthermore, pharmacotherapy improves mental components of HRQoL. | Quality of diet has been direct and cross-sectionally associated with HRQoL scores. The effects of diet on homocysteine level influence HRQoL and thus, potentially improve UDD patient status. | [55,57,62,63] |
Dietary components | Total/number of cases | mean follow-up t (yr) | Main Results1 [comparisons between quantiles (q) or the designated categories] |
Cohort studies | |||
Nutrients | |||
Omega-3 fatty acids[6] | 7903/512 | 2.4 | q4 vs q1: OR (95%CI) 0.65 (0.47–0.90). P for trend = 0.376 |
Trans fatty acids[37] | 12059/657 | 6.1 | q5 vs q1: 1.42 (1.09-1.84); P for trend = 0.003 |
MUFA[37] | 12059/657 | 6.1 | q5 vs q1: 0.80 (0.62-1.03); P for trend = 0.05 |
PUFA[37] | 12059/657 | 6.1 | q5 vs q1; 0.76 (0.59-0.99; P for trend = 0.03 |
Magnesium[123] | 12939/737 | 6.3 | q5 vs q1: 1.11 (0.77-1.59) No association. |
Nutritional adequacy[124] | 13983/953 | 8.5 | ≥ 4 nutritional deficiencies vs ≤ 1: 1.37 (1.01-1.85) |
Total Fiber[40] | 548/198 | Cross-sectional | q4 vs q1: OR = 0.54 (95%CI: 0.11–2.63); Non significant association |
Foods and food groups | |||
Fast food[125] | 8964/493 | 6.2 | q5 vs q1: 1.36 (1.02-1.81); P for trend = 0.03 |
Ultra-processed foods[126] | 14907/774 | 10.3 | q4 vs q1: 1.33 (1.07, 1.64); P for trend = 0.004 |
Baked goods[125] | 8964/493 | 6.2 | q2-5 vs q1: 1.38 (1.06-1.80); |
Olive oil[37] | 12059/657 | 6.1 | q5 vs q1: 0.80 (0.62-1.04); P for trend = 0.06 |
Seafoods[127] | 6587/1367 | Cross-sectional | q3 vs q1 of fatty fish consumption: OR 0.72 (0.59–0.88). Higher intakes were non-significant |
Coffee[128] | 14413/199 | 10 | ≥ 4 cups/d vs < 1 cup/d: 0.37 (0.15–0.95); P for trend = 0.220 |
Yoghurt[36] | 14542/727 | 9.3 | Low fat: max vs min: 1.32 (1.06–1.65); P for trend = 0.001 |
Whole fat: max vs min: 0.78 (0.63–0.98); P for trend = 0.02 | |||
Dietary patterns | |||
MD score[8] | 10094/480 | 4.4 | 3pts vs 0-2pts: 0.74 (0.57-0.98) |
4pts vs 0-2pts: 0.66 (0.50-0.86) | |||
5pts vs 0-2pts: 0.49 (0.36-0.67) | |||
6-9pts vs 0-2pts: 0.58 (0.44-0.77); P for trend <0.001 | |||
MD score (updated)[103] | 15093/1051 | 8.5 | q5 vs q1: 0.84 (0.69-1.02); P for trend = 0.001 |
Pro-vegetarian[103] | 15093/1051 | 8.5 | q5 vs q1: 0.74 (0.61-0.89); P for trend < 0.001 |
AHEI 2010[103] | 15093/1051 | 8.5 | q5 vs q1: 0.60 (0.49-0.72); P for trend < 0.001 |
DASH-Fung diet[102] | 14051/410 | 8 | < 2pts vs 3-9pts: 0.76 (0.61-0.94): |
Pro-inflammatory pattern[129] | 15093/1051 | 8.5 | q5 vs q1: 1.47 (1.17, 1.85); P for trend = 0.010 |
Lifestyle | |||
Mediterranean lifestyle[130] | 11800/806 | 8.5 | High vs low : 0.50 (0.32-0.81) |
Healthy lifestyle score[131] | 14908/774 | 10.4 | Max vs min: 0.68 (0.49-0.95); P for trend 0.010 |
Alcohol[132] | 13619/459 | 8 | Moderate vs no consumption: 0.62 (0.43-0.89) in female subjects |
CV risk equation[133] | 16739/927 | 6 | q5 vs q1: 3.45 (2.40-4.95) starting at 40 yr |
Physical activity[7] | 10381/923 | 6 | q5 vs q1: OR (95% CI) 0.81 (0.65-1.00) P for trend < 0.01 |
Leisure time physical activity[134] | 6343/311 | 10.5 | > 20 METs-h/wk vs < 10 METs-h/wk; 0.84 (0.72–0.99); P for trend 0.046 |
Tobacco[135] | 8556/190 | 4 | Smokers vs non-smokers: 1.30 (0.97-1.73) |
Childhood obesity (5 yr)[136] | 11825/651 | 6.1 | Obese vs low weight: 1.50 (1.06-2.12); P for trend = 0.012 |
Youth obesity (20 yr)[136] | 11825/651 | 6.1 | Obese vs low weight: 2.22 (1.20-4.08); P for trend = 0.005 |
Clinical trials | |||
The PREDIMED study[119] | 3923/224 | 5.4 | MD + EVOO2 or nut supplements vs Low fat diet: multivariable adjusted 0.85 (0.64 to 1.13); Non significant associations |
The MoodFOOD Study[117] | 512/54 | 1 | Multi-nutrient supplement vs placebo groups: OR = 1.06 (0.87-1.29); Non significant associations. |
- Citation: Pano O, Martínez-Lapiscina EH, Sayón-Orea C, Martinez-Gonzalez MA, Martinez JA, Sanchez-Villegas A. Healthy diet, depression and quality of life: A narrative review of biological mechanisms and primary prevention opportunities. World J Psychiatr 2021; 11(11): 997-1016
- URL: https://www.wjgnet.com/2220-3206/full/v11/i11/997.htm
- DOI: https://dx.doi.org/10.5498/wjp.v11.i11.997