Dietary total antioxidant capacity and mortality from all causes, cardiovascular disease and cancer: a systematic review and dose–response meta-analysis of prospective cohort studies

Parohan, Mohammad; Anjom-Shoae, Javad; Nasiri, Morteza; Khodadost, Mahmoud; Khatibi, Seyed Reza; Sadeghi, Omid

doi:10.1007/s00394-019-01922-9

Cited by 58 publications

(45 citation statements)

References 67 publications

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“…In the present study, low baseline serum levels of TAS, SOD, and high MDA could accelerate the progression of PACG. Limited data are available in the literature regarding the association of oxidative stress markers with PACG progression, but there has been increasing evidence showing that TAS, SOD, and MDA levels could serve as biomarkers to predict the progression or survival of different types of other diseases [33][34][35][36]. For example, Chen et al [33] performed a community-based cohort study of 2224 participants reporting that increased activity of SOD was independently associated with lower all-cause mortality in older women.…”

Section: Discussionmentioning

confidence: 99%

“…For example, Chen et al [33] performed a community-based cohort study of 2224 participants reporting that increased activity of SOD was independently associated with lower all-cause mortality in older women. A meta-analysis of five prospective studies showed that a significant inverse association was found between dietary TAS and all-cause mortality (combined effect size = 0:62, 95%CI = 0:60 -0:64), cancer (combined effect size = 0:81, 95%CI = 0:75 -0:88), and cardiovascular disease mortality (combined effect size = 0:71, 95%CI = 0:63 -0:82) [34]. For eye diseases, Rautiainen et al [35] have shown that dietary TAS was inversely associated with the risk of agerelated cataract in a population-based prospective cohort of middle-aged and elderly women.…”

Section: Discussionmentioning

confidence: 99%

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Relationship between Oxidative Stress Biomarkers and Visual Field Progression in Patients with Primary Angle Closure Glaucoma

Shao

et al. 2020

Oxidative Medicine and Cellular Longevity

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Purpose. To investigate the serum changes of oxidative stress markers and the relationship between these factors and visual field (VF) progression in patients with primary angle closure glaucoma (PACG). Methods. A case-control and a prospective cohort study. A total of 94 patients with PACG and 89 normal controls were enrolled. Furthermore, 94 PACG subjects were followed up for at least two years (once every six months). All participants were evaluated for serum levels of superoxide dismutase (SOD), total antioxidant status (TAS), hydrogen peroxide (H2O2), malondialdehyde (MDA), glutathione peroxidase, glutathione reductase, and detailed eye and systematic examination. Binary logistic regression analysis and Cox regression analysis were performed. Results. The serum levels of SOD and TAS in the PACG group were significantly lower than those in the control group (p<0.001). Meanwhile, PACG subjects had significantly higher levels of MDA and H2O2 than the normal control subjects (p<0.001). Serum levels of TAS (OR=0.773, 95%CI=0.349−0.714, p<0.001), SOD (OR=0.975, 95%CI=0.955−0.995, p<0.001), MDA (OR=1.155, 95%CI=1.080−1.235, p<0.001), and H2O2 (OR=1.216, 95%CI=1.142−1.295, p<0.001) were independent risk/protective factors for PACG. TAS levels (HR=0.041, 95%CI=0.008–0.218, p<0.001), SOD levels (HR=0.983, 95%CI=0.971–0.994, p=0.003), and MDA levels (HR=1.010, 95%CI=1.001–1.018, p=0.015) at baseline were associated with visual field progression. Kaplan–Meier curves reveal that patients with TAS<0.95/SOD<143/MDA>12 had a significantly higher percentage of PACG progression (p<0.05). Conclusions. Decreased levels of TAS and SOD as well as increased levels of MDA at baseline were associated with VF progression in patients with PACG. These findings suggest that oxidative stress was involved in the onset and development of PACG.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Relationship between Oxidative Stress Biomarkers and Visual Field Progression in Patients with Primary Angle Closure Glaucoma

Shao

et al. 2020

Oxidative Medicine and Cellular Longevity

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“…Odds ratios, relative risks, and hazard ratios (along with 95% confidence intervals) for comparison of the highest versus lowest categories of total, animal, and plant protein intake were used to calculate log odds ratios, relative risks, and hazard ratios with standard errors. A random effects model was used for analyses, in which we calculated both the Q statistic and I 2 as indicators of heterogeneity 24252627. I 2 values greater than 50% were considered as significant heterogeneity between studies 21.…”

Section: Methodsmentioning

confidence: 99%

Dietary intake of total, animal, and plant proteins and risk of all cause, cardiovascular, and cancer mortality: systematic review and dose-response meta-analysis of prospective cohort studies

Naghshi

Sadeghi

Willett

et al. 2020

BMJ

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222

134

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ObjectiveTo examine and quantify the potential dose-response relation between intake of total, animal, and plant protein and the risk of mortality from all causes, cardiovascular disease, and cancer.DesignSystematic review and meta-analysis of prospective cohort studies.Data sourcesPubMed, Scopus, and ISI Web of Science until December 2019, and references of retrieved relevant articles.Study selectionProspective cohort studies that reported the risk estimates for all cause, cardiovascular, and cancer mortality in adults aged 18 or older.Data synthesisRandom effects models were used to calculate pooled effect sizes and 95% confidence intervals for the highest versus lowest categories of protein intake and to incorporate variation between studies. Linear and non-linear dose-response analyses were done to evaluate the dose-response relations between protein intake and mortality.Results32 prospective cohort studies were included in the systematic review and 31 in the meta-analysis. During the follow-up period of 3.5 to 32 years, 113 039 deaths (16 429‬ from cardiovascular disease and 22 303‬ from cancer) occurred among 715 128 participants. Intake of total protein was associated with a lower risk of all cause mortality (pooled effect size 0.94, 95% confidence interval 0.89 to 0.99, I2=58.4%, P<0.001). Intake of plant protein was significantly associated with a lower risk of all cause mortality (pooled effect size 0.92, 95% confidence interval 0.87 to 0.97, I2=57.5%, P=0.003) and cardiovascular disease mortality (pooled hazard ratio 0.88, 95% confidence interval 0.80 to 0.96, I2=63.7%, P=0.001), but not with cancer mortality. Intake of total and animal protein was not significantly associated with risk of cardiovascular disease and cancer mortality. A dose-response analysis showed a significant inverse dose-response association between intake of plant protein and all cause mortality (P=0.05 for non-linearity). An additional 3% energy from plant proteins a day was associated with a 5% lower risk of death from all causes.ConclusionsHigher intake of total protein was associated with a lower risk of all cause mortality, and intake of plant protein was associated with a lower risk of all cause and cardiovascular disease mortality. Replacement of foods high in animal protein with plant protein sources could be associated with longevity.

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“…D-NEAC has been associated with health outcomes in several epidemiological studies [44]. However, it has been argued that the in vitro antioxidant capacity may not reflect the real in vivo antioxidant potential of the body [2,5,45].…”

Section: D-neac and P-neac Relationsmentioning

confidence: 99%

Plasma Non-Enzymatic Antioxidant Capacity (NEAC) in Relation to Dietary NEAC, Nutrient Antioxidants and Inflammation-Related Biomarkers

et al. 2020

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(1) Background: Little is known about the interlinkages between dietary and plasma non-enzymatic antioxidant capacity (D-NEAC and P-NEAC, respectively) and the body’s antioxidant and inflammation response. Our aim was to explore these associations in 210 participants from two Spanish European Prospective Investigation into Cancer and Nutrition (EPIC) centers. (2) Methods: D-NEAC was estimated using published NEAC values in food. P-NEAC and total polyphenols (TP) were quantified by FRAP (ferric-reducing antioxidant power), TRAP (total radical-trapping antioxidant parameter), TEAC-ABTS (trolox equivalent antioxidant capacity-Azino Bis Thiazoline Sulfonic), ORAC (oxygen radical absorbance capacity) and Folin–Ciocalteu assays. Nutrient antioxidants (carotenes, α-tocopherol, ascorbic acid, retinol, uric acid, Q9 and Q10 coenzymes) and inflammation markers (IL-6, IL-8, CRP, TNF-α, PAI-I, resistin and adiponectin) were also analyzed. Spearman correlation and linear regression analyses were performed in association analyses. Analyses were stratified by covariates and groups were defined using cluster analysis. (3) Results: P-FRAP was correlated with D-NEAC, and significantly associated with P-NEAC in multivariate adjusted models. P-FRAP levels were also significantly associated with plasma antioxidants (log2 scale: TP β = 0.26; ascorbic acid β = 0.03; retinol β = 0.08; α-tocopherol β = 0.05; carotenes β = 0.02; Q10 β = 0.06; uric acid β = 0.25), though not with inflammation-related biomarkers. Different profiles of individuals with varying levels of P-NEAC and biomarkers were found. (4) Conclusions: P-NEAC levels were to some extent associated with D-NEAC and plasma antioxidants, yet not associated with inflammation response.

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Dietary total antioxidant capacity and mortality from all causes, cardiovascular disease and cancer: a systematic review and dose–response meta-analysis of prospective cohort studies

Cited by 58 publications

References 67 publications

Relationship between Oxidative Stress Biomarkers and Visual Field Progression in Patients with Primary Angle Closure Glaucoma

Relationship between Oxidative Stress Biomarkers and Visual Field Progression in Patients with Primary Angle Closure Glaucoma

Dietary intake of total, animal, and plant proteins and risk of all cause, cardiovascular, and cancer mortality: systematic review and dose-response meta-analysis of prospective cohort studies

Plasma Non-Enzymatic Antioxidant Capacity (NEAC) in Relation to Dietary NEAC, Nutrient Antioxidants and Inflammation-Related Biomarkers

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