| Literature DB >> 36058151 |
Louise W Lu1, Yao Gao2, Siew-Young Quek3, Meika Foster4, Charles T Eason5, Min Liu6, Mingfu Wang7, Jie-Hua Chen8, Feng Chen9.
Abstract
The Coronavirus Disease-2019 (COVID-19) pandemic urges researching possibilities for prevention and management of the effects of the virus. Carotenoids are natural phytochemicals of anti-oxidant, anti-inflammatory and immunomodulatory properties and may exert potential in aiding in combatting the pandemic. This review presents the direct and indirect evidence of the health benefits of carotenoids and derivatives based on in vitro and in vivo studies, human clinical trials and epidemiological studies and proposes possible mechanisms of action via which carotenoids may have the capacity to protect against COVID-19 effects. The current evidence provides a rationale for considering carotenoids as natural supportive nutrients via antioxidant activities, including scavenging lipid-soluble radicals, reducing hypoxia-associated superoxide by activating antioxidant enzymes, or suppressing enzymes that produce reactive oxygen species (ROS). Carotenoids may regulate COVID-19 induced over-production of pro-inflammatory cytokines, chemokines, pro-inflammatory enzymes and adhesion molecules by nuclear factor kappa B (NF-κB), renin-angiotensin-aldosterone system (RAS) and interleukins-6- Janus kinase-signal transducer and activator of transcription (IL-6-JAK/STAT) pathways and suppress the polarization of pro-inflammatory M1 macrophage. Moreover, carotenoids may modulate the peroxisome proliferator-activated receptors γ by acting as agonists to alleviate COVID-19 symptoms. They also may potentially block the cellular receptor of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), human angiotensin-converting enzyme 2 (ACE2). These activities may reduce the severity of COVID-19 and flu-like diseases. Thus, carotenoid supplementation may aid in combatting the pandemic, as well as seasonal flu. However, further in vitro, in vivo and in particular long-term clinical trials in COVID-19 patients are needed to evaluate this hypothesis.Entities:
Keywords: Anti-inflammation; COVID-19; Carotenoids; Immunity; Natural supportive therapeutics; SARS-CoV-2
Mesh:
Substances:
Year: 2022 PMID: 36058151 PMCID: PMC9428603 DOI: 10.1016/j.biopha.2022.113625
Source DB: PubMed Journal: Biomed Pharmacother ISSN: 0753-3322 Impact factor: 7.419
Fig. 1Structures of common carotenoids.
Fig. 2Structure and pathogenesis of Coronavirus Disease-2019 (COVID-19).
Fig. 3Putative mechanisms contributing to increased susceptibility for severe Coronavirus Disease-2019 (COVID-19) illness and the hypothetical protective mechanisms of dietary carotenoids. We presume that following viral entry of SARS-CoV-2 into the respiratory epithelial cell and other target cells via binding the cell surface angiotensin converting enzyme 2 (ACE2), the patient experiences oxidative stress and reactive oxygen species (ROS)-mediated inflammation and dysregulated innate and adaptive immune response. The accumulation of a series of complications may lead to severe illness, multi-organ damage, acute lung injury (ALI), and acute respiratory distress syndrome (ARDS). Carotenoids can inhibit these main signalling pathways to suppress the excess oxidative stress and overproduction of pro-inflammatory cytokines.
Pre-clinical studies investigated the effect of carotenoids on oxidative stress, inflammation, ACE2 blocker, and modulation of PPARγ.
| Agent | Study design | Method | Main effect (s) | Ref |
|---|---|---|---|---|
| Attenuate Oxidative Stress | ||||
| β-carotene | ABTS radical cation decolorization assay | ↓ABTS•+ | Sen Gupta, Ghosh | |
| β-carotene zeaxanthin | Human erythrocytes with tBHP or by AAPH-induced lipid peroxidation; and AAPH-induced oxidation of hemoglobin | ↓ROO• | Chisté et al., | |
| β-carotene | Renal ischemia/reperfusion injury in rat | ↓MDA | Hosseini et al., | |
| Astaxanthin | Human lymphocytes induced by fatty acid mixture | ↓H2O2-; NO | Campoio et al., | |
| AEC-II cells | ↓apoptosis in AEC-II cells; ROS-dependent mitochondrial signaling pathway | Song et al., | ||
| Streptozotocin-induced diabetic rats | ↓Lipid peroxidation; ROS; AGEs | Park et al., | ||
| Alloxan-induced diabetic rats | ↓MDA; protein carbonyl | Sila et al., | ||
| Streptozotocin-induced diabetic rats | ↓MDA; | Zhu et al., | ||
| Fucoxanthin | Chemiluminescence technique and ESR technique | ↓HO• | Sachindra et al., | |
| SDS micelles and in methanol solution | ↓peroxyl radicals; lipid peroxidation | Takashima et al., | ||
| DPPH, ABTS, hydroxyl, and superoxide radical-scavenging assay | ↓DPPH radical; ABTS radical; O2•−; HO• | Zhang et al., | ||
| Monkey kidney fibroblast cells | ↓H2O2- | Heo et al., | ||
| Human HaCaT keratinocytes | ↓H2O2- | Zheng et al., | ||
| Human HaCaT keratinocytes | ↑Nrf2; GCL; GSS | Zheng et al., | ||
| HepG2 cells incubated with 0.2 μM TBT | ↓ROS; MDA | Zeng et al., | ||
| Human hepatic L02 cells | ↓H2O2- | Wang et al., | ||
| Retinol deficient rat | ↓Lipid peroxidation | Sangeetha et al., | ||
| High-fat-diet induced obese rats | ↑CAT; GSH-Px; total antioxidant capacity; mRNA expression of Nrf2/NQO1 | Ha et al., | ||
| OVA-induced asthma mice | ↓MDA | Wu et al., | ||
| Suppress excessive inflammatory cytokines | ||||
| Astaxanthin | Proximal tubular epithelial cells | ↓Lipid peroxidation; total RS; •O; NO•; ONOO-; NF-κB; iNOS; COX-2 | Kim et al., | |
| 1. RAW 264.7 macrophages; | ↓NF-κB; ROS; NOX2; IL-6; IL-1β | Farruggia et al., | ||
| 1. LPS-stimulated RAW264.7 cells and M1 macrophages; | ↓NO; NF-κB; iNOS; PGE2; TNF-α; IL-1β | Lee et al., | ||
| High fructose-fat diet-fed mice | ↓ROS; NF-κB; ER stress markers | Bhuvaneswari et al., | ||
| Cecal ligation and puncture induced ALI mice | ↓NF-κB; NT; iNOS | Bi et al., | ||
| OTA-induced lung injury mice | ↓NF-κB; Keap1; TLR4 | Xu et al., | ||
| Streptozotocin-induced diabetic rats | ↓NF-κB; TNF-α; IL-1β; IL-6 | Xu et al., | ||
| Fucoxanthin | TGF-β1-stimulated human pulmonary fibroblasts | ↓IL-6 | Ma et al., | |
| RAW264.7 macrophages; | ↓NF-κB; iNOS; COX2; IL-10; IL-6 | Li et al., | ||
| human bronchial epithelial cells (BEAS-2B); | ↓ROS; IL-8; IL-6; MCP-1; CCL5; CCL11; CCL24; eotaxin | Wu et al., | ||
| LPS-induced ALI rats | ↓MPO; IL-6; IL-1β; TNF-α; infiltration of inflammatory cells in BALF | Xiao et al., | ||
| OVA-induced asthma mice | ↓ROS; inflammatory cytokine | Yang et al., | ||
| LPS-induced sepsis mice | ↓NF-κB; IL-6; IL-1β; TNF-α | Su et al., | ||
| OVA-induced allergic rhinitis | ↓NF-κB; IL-5; IL-6; IL-12; cytokine | Li et al., | ||
| β-carotene | LPS-stimulated macrophages | ↓NO; NF-κB; iNOS; COX-2; TNF-α; IL-1β | Bai et al., | |
| LPS-stimulated macrophages | ↓NF-κB; IL-6; IL-8; TLRs | Robertson et al., | ||
| Lutein | Streptozotocin-induced diabetic rats | ↓NF-κB | Yeh et al., | |
| lycopene | LPS-induced dendritic cells | ↓NF-κB | Kim et al., | |
| Modulate PPARγ | ||||
| Astaxanthin | Thioglycollate-elicited peritoneal macrophage | ↑expression of PPARγ target genes (CD36, liver X receptor) | Inoue et al., | |
| Fucoxanthin | 3T3-L1 preadipocytes | ↑PPARγ mRNA expression | Kang et al., | |
| lycopene | Bovine subcutaneous adipose tissue cells | ↑PPARγ mRNA expression | García-Rojas et al., | |
| Crocin | High-fructose-diet induced MetS mice | ↑PPARγ mRNA expression | Algandaby | |
| Block ACE2 | ||||
| Siphon-axanthin | HEK293 cells overexpressing ACE2 | Binding ACE2 | Yim et al., | |
| Lutein | Protein-ligand docking program (GalaxyDock) | Binding ACE2 | Ahmed, Husaini | |
Abbreviation: 1,1-diphenyl-2-picrylhydrazyl, DPPH; 2,2'-azobis (2-methylpropionamidine) dihydrochloride, AAPH; 2–2'-azinobis-(3-ethylbenzothiazoline-6-sulfonic acid), ABTS; acute lung injury (ALI); Advanced glycation end products, AGEs; Alveolar epithelial cells type II, AECs-II cells; angiotensin-converting enzyme 2, ACE2; bronchoalveolar lavage fluid, BALF; catalase, CAT; cyclooxygenase 2, COX-2; electron spin resonance, ESR; endoplasmic reticulum, ER; fractalkine, FKN; Glutamate Cysteine Ligase, GCL; glutathione S-transferase, GST; glutathione synthetase, GSS; gluthathione peroxidase, GSH-Px; heme oxygenase-1, HO-1; inducible nitric oxide synthase, iNOS; intercellular adhesion molecule-1, ICAM-1; interleukin, IL; malondialdehyde, MDA; Metabolic Syndrome, MetS; monocyte chemoattractant protein-1, MCP-1;Myeloperoxidase, MPO;NAD(P)H quinone oxidoreductase1, NQO1; NADH/NADPH oxidase, NOX; nuclear factor kappa B, NF-κB; nitric oxide, NO; nitrotyrosine, NT; nuclear erythroid factor like 2, Nrf2; ovalbumin, OVA; peroxisome proliferator-activated receptors γ, PPARγ;Prostaglandin E2, PGE2; reactive oxygen species, ROS; Sodium dodecyl sulfate, SDS; Superoxide dismutase, SOD; tert-butyl hydroperoxide, tBHP; toll-like receptor, TLR; tumor necrosis factor, TNF; transforming growth factor-beta1, TGF-β1.
Randomized clinical trials investigating the effects of dietary and supplementary carotenoids on inflammation and oxidative stress.
| Study design | Study Participants | Dose | Duration (week) | Main outcomes | Proposed implication | Ref | |
|---|---|---|---|---|---|---|---|
| Inflammation related studies | |||||||
| Astaxanthin vs. placebo | T2D patients | Study1: 6 mg/d | 8 | ↔CRP; IL-6; TNF-α; MDA | No effect | Chan et al., | |
| Study2: 12 mg/d | 8 | ↓CRP; IL-6; TNF-α; MDA | Anti-inflammation | ||||
| Astaxanthin vs. placebo | Renal transplant recipients | 12 mg/d | 48 | ↔pentraxin-3 | No effect | Coombes et al., | |
| Astaxanthin vs. placebo | Trained male soccer teenage players | 4 mg/d | 12 | ↓CRP | Anti-inflammation | Baralic et al., | |
| Astaxanthin vs. placebo | Healthy adult female human subject | Study1: 2 mg/d | 8 | ↔CRP; IL-6; TNF-α | No effect | Park et al., | |
| Astaxanthin vs. placebo | Healthy nonsmoking adult men | 8 mg/d | 12 | ↓CRP; IL-6 | Anti-inflammation | Karppi et al., | |
| Lutein vs. placebo | Early atherosclerosis patients | 20 mg/d | 12 | ↓IL-6; MCP-1 | Anti-inflammation | Xu et al., | |
| Lutein vs. placebo | Healthy nonsmokers | Study1: 10 mg/d | 12 | ↔CRP; MDA | Anti-inflammation | Wang et al., | |
| Study2: 20 mg/d | 12 | ↓CRP; MDA | Anti-inflammation | ||||
| Lutein + anthocyanins vs. anthocyanins | Postmenopausal women | 6 mg/d lutein + 2 mg/d zeaxanthin | 32 | ↔CRP; IL-6 | No effect | Estévez-Santiago et al., | |
| Lutein + zeaxanthin vs. placebo | Healthy adult subjects | Study1: 10 mg/d lutein + 5 mg/d zeaxanthin | 8 | ↔CRP | No effect | Graydon et al., | |
| Lutein, zeaxanthin and meso-zeaxanthin vs. placebo | Healthy adult subjects | 13 or 27 mg/d | 24 | ↓IL-1β | Anti-inflammation | Stringham et al., | |
| Carrot juice fortified with β-carotene vs. normal carrot juice | T2D patient | 10 mg/d | 8 | ↔CRP; IL-6 | No effect | Ramezani et al., | |
| β-Carotene vs. placebo | Healthy adult subjects | 15 mg/d | 8 | ↔CRP | No effect | Graydon et al., | |
| Lycopene vs. placebo | COPD patients | 20 mg/d | 16 | ↓IL-6; TNF-α | Anti-inflammation | Kırkıl et al., | |
| Lycopene prior to running vs. placebo | Runners (crossover) | 11 mg/d | 4 | ↔CRP; IL-6 | No effect | Nieman et al., | |
| Lycopene vs. placebo | Healthy adult men | Study1: 6 mg/d | 8 | ↔CRP | No effect | Kim et al., | |
| Lycopene vs. placebo | Healthy adult men | Study2: 15 mg/d | 8 | ↔CRP | No effect | Kim et al., | |
| Lycopene vs. placebo | CVD Patients/healthy participants | 7 mg/d | 8 | ↔CRP; TNF-α; IL-6 in all participants | No effect in CVD/healthy volunteers | Gajendragadkar et al., | |
| Lycopene vs. placebo | Moderately overweight healthy middle-aged adults | 10 mg/d | 16 | ↔CRP; IL-6 | No effect | Thies et al., | |
| Lycopene vs. placebo | Patients with prehypertension | 7 mg/d | 4 | ↔CRP | No effect | Petyaev et al., | |
| Whey protein isolates embedded into lycopene micelles vs. whey protein | Patients with prehypertension | 7 mg/d | 4 | ↔CRP | No effect | Petyaev et al., | |
| Lycopene Tomato extract capsules vs. placebo | Healthy smokers and nonsmokers | 14.64 mg/d | 2 | ↔TNF-α in smokers and non-smokers | Reduction of IL-4 in smokers | Briviba et al., | |
| β-cryptoxanthin vs. placebo | Patients with NAFLD | 6 mg/d | 12 | ↓CRP | Anti-inflammation | Haidari et al., | |
| Crocin vs. placebo | Osteoarthritis Patients | 15 mg/d | 16 | ↓CRP | Anti-inflammation | Poursamimi et al., | |
| Crocin vs. placebo | Patients under MMT | 30 mg/d | 8 | ↓CRP; MDA | Anti-inflammation | Ghaderi et al., | |
| Crocin vs. placebo | Patients with multiple sclerosis | 30 mg/d | 8 | ↓TNF-α | Anti-inflammation | Ghiasian et al., | |
| Oxidative stress related studies | |||||||
| Astaxanthin | heavy smokers and non-smokers; | Study1: 5 mg/d | 3 | ↓MDA; F2-isoPs; | Reduce oxidative stress in smokers | Kim et al., | |
| Astaxanthin vs. placebo | Healthy subjects in mid-40 s (crossover) | 3 mg/d | 4 | ↓PLOOH | Reduce oxidative stress | Imai et al., | |
| Astaxanthin vs. placebo | healthy middle-aged and senior subjects | Study1: 6 mg/d Study2: 12 mg/d | 12 | ↓PLOOH | Reduce oxidative stress | Nakagawa et al., | |
| Astaxanthin high dose vs. low dose | middle-aged and senior healthy subjects | Study1: 1 mg/d | 4 | ↑Serum carotenoids concentration | Potential to reduce oxidative stress | Miyazawa et al., | |
| Astaxanthin vs. placebo | T2D patients | 8 mg/d | 8 | ↓MDA; IL-6 | Reduce oxidative stress | Shokri-Mashhadi et al., | |
| Astaxanthin high dose vs. low dose | overweight or obese adults | Study1: 5 mg/d Study2: 20 mg/d | 3 | ↓MDA; isoprostane | Reduce oxidative stress | Choi et al., | |
| Lutein vs. placebo | healthy senior subjects | 22.9 mg /day | 8 | ↓PLOOH | Reduce oxidative stress | Miyazawa et al., | |
| β-carotene vs. placebo | nonsmokers and smokers | 20 mg/d | 4 | ↓lipid peroxidation marker BPO in smokers received β-carotene; | Reduce oxidative stress, improve lung function | Allard et al., | |
Abbreviation: breath-pentane output, BPO; cardiovascular disease, CVD; Chronic obstructive pulmonary disease, COPD; C-Reactive Protein, CRP; malondialdehyde, MDA; methadone maintenance treatment, MMT; Monocyte chemoattractant protein-1, MCP-1; Nonalcoholic fatty liver disease, NAFLD; phospholipid hydroperoxides, PLOOH; Superoxide dismutase, SOD; total antioxidant capacity, TAC; type 2 diabetes, T2D.
Epidemiological studies of the association between circulating carotenoids or dietary intake of carotenoids and lung function, risk of T2D and CVD in adults.
| Exposure | Study design | Cohort | Outcome assessment | Association | Ref |
|---|---|---|---|---|---|
| Association with lung function | |||||
| Total carotenoid intake (α-carotene, β-carotene, β-cryptoxanthin, lycopene, and lutein/zeaxanthin) | cross-sectional | ARIC Study, 1987–89 | Pulmonary function: FEV1 and FVC | α-carotene, β-carotene, β-cryptoxanthin had a significant association with FEV1/FVC ratio | Jun, Root |
| Dietary total carotene and serum β-carotene | cross-sectional | NHANES III, 1988–1994 | Pulmonary function: FEV1 | An increase in serum β-carotene and dietary carotene was associated with an increase in FEV1. | Hu, Cassano |
| Dietary β-cryptoxanthin, lutein/zeaxanthin, β-carotene, and retinol | cross-sectional | Erie and Niagara Counties, New York | Pulmonary function: FVC and FEV1 | Dietary lutein/zeaxanthin statistical significantly related to FVC % in never and current smokers | Schünemann et al., |
| Serum carotenoids | Prospective cohort | CARDIA, at year 0 (1985–1986) and at follow-up in years 2, 5, 10, and 20 | Pulmonary function: FEV1 and FVC | Baseline carotenoid concentrations and the 15-y increase in carotenoid concentrations were inversely associated with a decline from maximum observed lung function | Thyagarajan et al., |
| Serum β-cryptoxanthin, lutein/zeaxanthin, β-carotene, and retinol | cross-sectional | Erie and Niagara Counties, New York | Pulmonary function: FEV1 and FVC | Significant association of β-cryptoxanthin, lutein/zeaxanthin, β-carotene, and retinol with FEV1 % | Schünemann et al., |
| Serum β‐carotene | Prospective cohort | ECRHS, 8-year follow up | Pulmonary function: FEV1 | An increase in serum β‐carotene was associated with a slower decline in FEV1 over 10 years | Guénégou et al., |
| Association with glycemic control and T2D | |||||
| Serum β-carotene | Case-control | Multiple sites, Finland (1966 −1972) | T2D patients vs. control | Serum β-carotene concentration was inversely associated with risk of T2D | Reunanen et al., |
| Serum concentrations of β-carotene and retinol, α-carotene. | Case-control | T2D patients, Saudi Arabia | T2D patients vs. control | Serum β-carotene concentration was significantly higher in control participants than those with diabetes. | Abahusain et al., |
| Serum β-carotene, lycopene, all carotenoids | cross-sectional | Phase I of the Third NHANES, USA (1988–1991) | glucose tolerance, or newly diagnosed diabetes | Serum β-carotene and lycopene was inversely associated with insulin resistance. All serum carotenoids were inversely associated with fasting insulin. | Ford et al., |
| Dietary intake of α-carotene, β-carotene, lycopene. Plasma concentration of α-carotene, β-carotene, lycopene. | cross-sectional | Botnia Dietary Study cohort, Finland (1994–1997) | OGTT; IVGTT; Insulin resistance | In men, dietary carotenoids were inversely associated with fasting plasma glucose, plasma β-carotene concentration was inversely associated with insulin resistance. In women, plasma β-carotene concentration was associated with fasting plasma glucose. | Ylönen et al., |
| Dietary intake of α-carotene, β-carotene, β-cryptoxanthin, lycopene, lutein/zeaxanthin, total carotenoids. | Prospective cohort | Finnish Mobile Clinic Health Examination Survey (1967–1972) | Risk of T2D | Dietary intake of β-cryptoxanthin was significantly associated with a reduced risk of T2D. | Montonen et al., |
| Serum α- carotene, β-carotene, β-cryptoxanthin, lutein, zeaxanthin, lycopene, and total carotenoids | cross-sectional | 6 random site in Queensland, Australia (Oct-Dec 2000) | OGTT; fasting insulin | Increasing quintiles of serum concentrations of α- carotene, β-carotene, β-cryptoxanthin, lutein, zeaxanthin, lycopene, and total carotenoids were inversely associated with 2-hr postprandial plasma glucose and fasting insulin concentration in non-smokers. | Coyne et al., |
| serum α-carotene, β-carotene, β-cryptoxanthin, lycopene, lutein/ zeaxanthin, and total carotenoids | Case-control | CARDIA Study & YALTA study (1985–2001) (18–30 yrs) | Risk of T2D; insulin resistance | All serum carotenoids concentrations were inversely associated with the risk of T2D. Year 15 serum insulin and insulin resistance values were inversely related to serum total carotenoids concentration in nonsmokers. | Hozawa et al., |
| Dietary intake of lycopene | Prospective cohort | WHS, US (1992–2003) | Risk of T2D | Dietary intake of lycopene is not associated with the risk of T2D. | Wang et al., |
| Plasma α-carotene, β-carotene, β-cryptoxanthin, lycopene, lutein/zeaxanthin | Nested case-control | WHS, US (1992–2003) | Risk of T2D | There was no prospective association between baseline plasma carotenoids and the risk of T2D in middle-aged and older women. | Wang et al., |
| Total plasma carotenoid concentration | Prospective cohort | EVA Study, Nantes, France (1991–1993 9 years follow-up) | Risk of dysglycemia | Risk of dysglycemia was significantly lower in participants in the highest quartile of total plasma carotenoids concentration compared with participants in the lowest quartile. | Akbaraly et al., |
| Serum β-carotene | Prospective cohort | ATBC study, Finland (1985–1993) | Risk of T2D | Serum concentration of β-carotene was not associated with the risk of T2D. | Kataja-Tuomola et al., |
| Serum lycopene, α-carotene, β-carotene, lutein, β-cryptoxanthin, zeaxanthin | Cross-sectional | The Mikkabi Cohort Study, Japan (2003 cohort I and 2005 cohort II - 2013) | Fasting plasma glucose | The fasting plasma glucose level was inversely correlated with serum lycopene and β-carotene in non-smokers. Serum β-carotene concentration was correlated with fasting plasma glucose levels in current smokers than in non-smokers. | Sugiura et al., |
| Dietary intake of β-carotene Serum β-carotene | Prospective cohort | ULSAM study, Sweden (10-, 20-, and 27-years follow-up) | Risk of T2D | Relative risk is inversely associated to increase in dietary intake of β-carotene and serum β-carotene concentration. | Arnlov et al., |
| Serum antioxidant supplements (β-carotene, vitamin C, vitamin E, zinc, selenium) | Baseline analysis of randomized controlled trial | SU.VI.MAX primary prevention trial | Metabolic syndrome components | Baseline serum concentrations of β-carotene was negatively associated with plasma glucose. | Czernichow et al., |
| Dietary intake of α-carotene, β-carotene, β-cryptoxanthin, lycopene, lutein/zeaxanthin | Prospective cohort | ATBC study, Finland (1985–1993) | Risk of T2D | Dietary carotenoids were not associated with a decreased risk of T2D in middle-aged male smokers. | Kataja-Tuomola et al., |
| Serum zeaxanthin/lutein, β-Cryptoxanthin, lycopene, α-Carotene, β-Carotene | cross-sectional | Yakumo Study, Japan (2005–2008) | Metabolic syndrome components | Glucose was negatively associated with serum β-carotene concentration in both sexes. | Suzuki et al., |
| Dietary intake of β-carotene: | Prospective cohort | Multi-ethnic cohort of Atherosclerosis | Risk of T2D | Risk of T2D is inversely associated to increase in dietary intake of β-carotene | de Oliveira Otto et al., |
| Dietary intake of α-carotene, β-carotene, β-cryptoxanthin, lycopene, lutein/zeaxanthin, total carotenoids | Prospective cohort | EPIC- Netherland study (1993–2003) | Risk of T2D | High α-carotene intake and high β-carotene intake are associated with lower risk of T2D. | Sluijs et al., |
| Serum α-carotene, β-carotene, β-cryptoxanthin, lycopene, lutein, zeaxanthin, total carotenoids | Prospective cohort | The Mikkabi Cohort Study, Japan (2003 cohort I and 2005 cohort II - 2013) | Risk of T2D | The highest tercile of serum α-carotene, β-cryptoxanthin, and total provitamin A carotenoids are associated with reduced risk of T2D. Serum β-carotene and zeaxanthin are associated with borderline risk reduction, however NOT significant. | Sugiura et al., |
| Dietary intake of α-carotene, β-carotene, lutein/zeaxanthin | Prospective cohort | NPAAS Feeding Study, US (2010–2014) | Risk of T2D | Higher dietary intake of α-carotene, β-carotene, and lutein/zeaxanthin is inversely associated with the risk of T2D. | Prentice et al., |
| Serum carotenoids (Retinol, α-carotene, β-carotene, ζ -carotene, lutein, lycopene, phytoene, and phytofluene) | cross-sectional | 2 cohorts, Sydney, Australia (2008–2013) | Insulin resistance, and serum insulin | Insulin resistance correlated inversely with serum carotenoids. | Harari et al., |
| Plasma α-carotene, β-carotene, β-cryptoxanthin, lycopene, lutein, zeaxanthin, total carotenoids | Nested prospective cohort | EPIC-InterAct study (Nested within the European EPIC study) (1993 −2003) | Risk of T2D | Plasma α-carotene, β-carotene, β-cryptoxanthin, lycopene, lutein and total carotenoids are inversely associated with the risk of T2D. Plasma zeaxanthin was NOT associated with reduced risk of T2D. | Zheng et al., |
| Reduce the risk associated with pre-infection CVD | |||||
| Dietary intake of β-carotene | cross-sectional | NHANES 2003–2006 cohort | CVD risk factors | Dietary intake of β-carotene was inversely associated to serum concentrations of LDL-C and homocysteine. | Wang et al., |
| Plasma and dietary intake of carotenoids | cross-sectional | CUDAS study | CVD risk factors | Plasma lycopene was negatively associated with carotid artery IMT. | McQuillan et al., |
| Plasma of carotenoids | cross-sectional | the Los Angeles Atherosclerosis Study | CVD risk factors | 18-month change in IMT was inversely related to lutein, β-cryptoxanthin, zeaxanthin and α-carotene. | Dwyer et al., |
Abbreviation: 75-g oral glucose-tolerance test, OGTT; Alpha-Tocopherol, Beta-Carotene Cancer Prevention Study, ATBC; cardiovascular disease, CVD; Coronary Artery Risk Development in Young Adults, CARDIA; European Community Respiratory Health Survey, ECRHS; European Prospective Investigation into Cancer and Nutrition, EPIC; forced vital capacity, FVC; intima-media (wall) thickness, IMT; intravenous glucose tolerance test, IVGTT; low-density lipoprotein cholesterol, LDL-C; National Health and Nutrition Examination Survey, NHANES; SUpplementation en VItamines et Mine´raux AntioXydants, SU.VI.MAX; Swedish Uppsala Longitudinal Study of Adult men Study, ULSAM; the Atherosclerosis Risk In Communities, ARIC; The Epidemiology of Vascular Ageing, EVA; The Nutrition and Physical Activity Assessment Study, NPAAS; The Perth Carotid Ultrasound Disease Assessment study, CUDAS; the ratio of forced expiratory volume in one second, FEV1; The Young Adult Longitudinal Trends in Antioxidants, YALTA; Type 2 diabetes, T2D; Women’s Health Study, WHS.
Randomized controlled trials of the effect of dietary carotenoids on protecting lung function, improve glycemic control, and reduce CVD risk.
| Intervention | Study participants | Dose | Duration | Main outcomes | Ref |
|---|---|---|---|---|---|
| Protect lung function | |||||
| β-carotene vs placebo | Participants with cystic fibrosis, 6.7–27.7 yr old | 1 mg/kg/day (maximum 50 mg/day) for 3 months + 10 mg/day for a further 3 months | 6 months | FEV1 did not change significantly in either group | Renner et al., |
| Ascorbate + α-tocopherol + carrot and tomato juice | Healthy nonsmoking adults, 18–35 yr old (crossover) | 250 mg of ascorbate + 50 IU of α-tocopherol + 12 oz carrot and tomato juice per day | 2 weeks | O3-induced reductions in FEV1 and FVC were 30 % and 24 % smaller, respectively, in the supplemented cohort. | Samet et al., |
| Tomato extract (lycopene) vs tomato juice vs placebo | Asthmatic adults (crossover) | tomato juice (45 mg lycopene/d) or tomato extract capsules (45 mg lycopene/d) | 10 days | Treatment with both tomato juice and extract reduced airway neutrophil influx. No significant change in FEV1 | Wood et al., |
| Softgel of mixed carotenoids vs multivitamin control without antioxidant enrichment | Pancreatic-insufficient subjects with cystic fibrosis | lutein (5 mg/d), zeaxanthin (1 mg/d), lycopene (1 mg/d) | 16 weeks | No significant differences between groups were observed in the change in mean FEV1 or FVC. | Sagel et al., |
| Improve glycemic control | |||||
| Crocin vs. placebo | T2D patients | 15 mg/d | 12 weeks | ↓Plasma glucose; insulin; HbA1c; SBP; HOMA-IR | Behrouz et al., |
| Fucoxanthin vs. placebo | Normal-weight and obese adults | Study 1: 1 mg/d | 8 weeks | ↓HbA1c | Mikami et al., |
| Reduce CVD risk | |||||
| Astaxanthin vs placebo | Non-obese subjects with fasting serum triglyceride of 120–200 mg/dl and without diabetes and hypertension | 6 mg/d | 12 weeks | ↑HDL-C | Yoshida et al., |
| 12 mg/d | ↓triglyceride ↑HDL-C; adiponectin | ||||
| 18 mg/d | ↓triglyceride ↑adiponectin | ||||
| Astaxanthin vs placebo | Healthy adults | 1.8 mg/d | 14 days | No effect | Iwamoto et al., |
| 3.6 mg/d | ↑LDL-C lag time (↓LDL-C oxidation) | ||||
| 14.4 mg/d | ↑LDL-C lag time (↓LDL-C oxidation) | ||||
| 21.6 mg/d | ↑LDL-C lag time (↓LDL-C oxidation) | ||||
Abbreviation: cardiovascular disease, CVD; forced expiratory volume in one second, FEV1; forced vital capacity, FVC; high-density lipoprotein cholesterol, HDL-C; Homeostatic Model Assessment for Insulin Resistance, HOMA-IR; low-density lipoprotein cholesterol, LDL-C; Systolic blood pressure, SBP; type 2 diabetes, T2D.