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β-Carotene in the human body: metabolic bioactivation pathways – from digestion to tissue distribution and excretion

Published online by Cambridge University Press:  12 February 2019

Torsten Bohn
Affiliation:
Luxembourg Institute of Health, rue 1 A-B Thomas Edison, L-1445 Strassen, Luxembourg
Charles Desmarchelier
Affiliation:
C2VN, Aix-Marseille Univ., INRA, INSERM, Marseille, France
Sedef N. El
Affiliation:
Engineering Faculty, Food Engineering Department, Ege University, Izmir, Turkey
Jaap Keijer
Affiliation:
Human and Animal Physiology, Wageningen University, Wageningen, The Netherlands
Evert van Schothorst
Affiliation:
Human and Animal Physiology, Wageningen University, Wageningen, The Netherlands
Ralph Rühl*
Affiliation:
Paprika Bioanalytics BT, Debrecen, Hungary
Patrick Borel
Affiliation:
C2VN, Aix-Marseille Univ., INRA, INSERM, Marseille, France
*
*Corresponding author: Ralph Rühl, email ralphruehl@web.de
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Abstract

β-Carotene intake and tissue/blood concentrations have been associated with reduced incidence of several chronic diseases. Further bioactive carotenoid-metabolites can modulate the expression of specific genes mainly via the nuclear hormone receptors: retinoic acid receptor- and retinoid X receptor-mediated signalling. To better understand the metabolic conversion of β-carotene, inter-individual differences regarding β-carotene bioavailability and bioactivity are key steps that determine its further metabolism and bioactivation and mediated signalling. Major carotenoid metabolites, the retinoids, can be stored as esters or further oxidised and excreted via phase 2 metabolism pathways. In this review, we aim to highlight the major critical control points that determine the fate of β-carotene in the human body, with a special emphasis on β-carotene oxygenase 1. The hypothesis that higher dietary β-carotene intake and serum level results in higher β-carotene-mediated signalling is partly questioned. Alternative autoregulatory mechanisms in β-carotene / retinoid-mediated signalling are highlighted to better predict and optimise nutritional strategies involving β-carotene-related health beneficial mediated effects.

Information

Type
Conference on ‘Nutrient–nutrient interaction’
Copyright
Copyright © The Authors 2019 
Figure 0

Fig. 1. (Colour online) Processing of β-carotene during digestion. All factors that impinge on matrix-release, transfer from lipid droplets to mixed micelles, and their diffusion to the enterocyte surface can alter bioaccessibility and thus bioavailability of β-carotene. By contrast, the influence of the colon and its microbiota remains unclear.

Figure 1

Fig. 2. (Colour online) (A) Candidate proteins for β-carotene metabolism within the enterocyte. When genetic variants have been associated with β-carotene bioavailability(25), the encoded proteins are coloured in grey. Dotted lines indicate regulations, i.e. regulation of BCO1 and SR-BI expression by ISX and regulation of chylomicron synthesis by SR-BI and CD36. (B) Candidate proteins that can modulate postprandial blood chylomicron β-carotene concentrations. When genetic variants have been associated with postprandial chylomicron β-carotene response to dietary β-carotene(25), the encoded proteins are coloured in grey. The dotted line indicates that this pathway is assumed but not demonstrated. (C) Proteins involved in the liver metabolism of β-carotene. Note that, to focus on β-carotene and for improved clarity, the fate of chylomicron retinyl esters in the liver is not shown, as well as the liver metabolism of retinol that involves numerous proteins(235). The liver is the hub of β-carotene metabolism: it is the main organ that stores β-carotene and distributes it to the peripheral tissues. β-Carotene reaches the liver mainly as β-carotene and retinyl esters, mainly RP, originating from β-carotene cleavage in the enterocyte and incorporated in chylomicrons. β-Carotene is then mostly stored in hepatic stellate cells. When genetic variants have been associated with blood β-carotene concentrations(80,81,236), the encoded proteins are coloured in grey. βC: β-carotene, ABCA1: ATP binding cassette subfamily A member 1, ABCB1: ATP-binding cassette, sub-family B (MDR/TAP), member 1, ABCG5/G8: ATP-binding cassette, sub-family G member 5 and 8, ATRA: all-trans-retinoic acid, BCO1: β-carotene oxygenase 1, BCO2: β-carotene oxygenase 2, BCO2: β-carotene oxygenase 2, CD36: CD36 molecule, CXCL8: C-X-C motif chemokine ligand 8, ELOVL2: elongation of very long chain fatty acids protein 2, FABP: fatty acid binding protein, GPIHBP1: glycosylphosphatidylinositol-anchored high density lipoprotein binding protein 1, HL: hepatic lipase (encoded by LIPC), HSPGs: heparan sulphate proteoglycans, ISX: intestine specific homoeobox (transcription factor under the control of retinoic acid, regulating expression of SR-BI and BCO1), LDLR: LDL-receptor, LPL: lipoprotein lipase, LRP1: LDL-receptor-related protein 1, MTP: microsomal TAG transfer protein, NPC1L1: Niemann Pick C1-like 1, PKD1L2: polycystin 1-like 2 (gene/pseudogene), RBP4: serum retinol-binding protein, ROL: retinol, RP: retinyl palmitate and other retinyl esters coming from βC cleavage in the enterocyte, RPE65: retinal pigment epithelium-specific 65 kDa protein, SAR1B: secretion associated Ras-related GTPase 1B, SOD2: superoxide dismutase 2, SR-BI: scavenger receptor class B type I, TCF7L2: transcription factor 7-like 2, TTR: transthyretin.

Figure 2

Fig. 3. (Colour online) Metabolism of β-carotene with major metabolites formed in vivo. Involved enzymes, binding proteins, receptors and target genes involved in β-carotene metabolism towards bioactive retinoids. Derivatives marked with ‘*’ have been conclusively identified to be endogenously present. At – all-trans; SCARB1 – scavenger receptor class B type I; CD36 – cluster of density 36; ABCG5 / 8 – ATP binding cassette member 5 / 8; BCO1 – β-carotene oxygenase 1; BCO2 – β-carotene oxygenase 2; LRAT1 / 2 – lecithin retinol acyltransferase, DGAT1 / 2 – diacylglycerol O-acyltransferase 1 / 2; ISX – intestinal transcription factor; STRA6 – stimulated by retinoic acid 6; RBPR2 – retinol-binding protein receptor 2; RDH 5 / 10 – retinol dehydrogenase 5 / 10; DHRS3 / 9 – short-chain dehydrogenase/reductase 3 / 9; RBP1 / 2 / 4 – retinyl-binding protein 1 / 2 / 4; REH – retinyl-esterase; RETSAT – all-trans-retinol 13,14-reductase; ALDH1A1 / 2 / 3 – aldehyde dehydrogenase 1 family, member A1 / 2 / 3; CRABP1 / 2 – cellular-retinoic acid binding protein 1 / 2; RPE65 – retinal pigment epithelium-specific 65 kDa protein; DES1 – sphingolipid delta(4)-desaturase; RLBP1 – retinal-binding protein 1; RAR – retinoic acid receptor; RXR – retinoid-X receptor; TG2 – transglutaminase 2; SCD1 – stearoyl-CoA desaturase / (Δ−9-)desaturase-1; ELOVL6 – elongation of very long chain fatty acids protein 6; HOXB6 / 8 – homoeobox protein 6 / 8, HBEGF – heparin-binding-epidermal growth factor; RARRES2 – retinoic acid receptor responder protein 2 / chemerin; ADIPOQ – adiponectin; UCP1 – uncoupling protein 1, UGT2B7 – UDP-glucuronyltransferase-glucuronosyltransferase-2B7.

Figure 3

Fig. 4. (Colour online) BCO1 localisation and metabolic properties. (A) In vitro kinetic analysis of purified recombinant human BCO1 with β-carotene and β-cryptoxanthin, as published earlier from Lindqvist and Andersson(144). (B) Direct correlation newly calculated based on of serum ATβC to ATRA in children in Germany with different ethical backgrounds(183,184). (C) Direct correlation based on serum ATβC to ATRA levels in Hungarian adults (n 40, Lucas et al.(187)) This figure is just present in the original study in ng/ml, while 1 ng/ml ATRA corresponds to 3.3 nM and 1 ng/ml ATβC to 1.86 nM. (D) Distribution of BCO1 mRNA expression in human tissues, as published previously in Lindqvist and Andersson(144) (PBL – peripheral blood lymphocytes). (E) Differentially expressed genes and pathways by β-carotene v. control diet. Gene expression analysis of different tissues on a control diet supplemented with βC v. control diet (containing adequate vitamin A)-fed mice. A description of the mouse study can be found in van Helden et al.(14). The global transcriptome data were extracted from Gene Expression Omnibus (GEO, Superseries GSE98847), containing lung (GSE98845), liver (GSE98846) and inguinal white adipose tissue (iWAT; GSE27271) and were normalised per tissue and genotype with both sexes included for comparison between sexes. Sex-specific number of differential expressed genes (P < 0·05) are given in number and fold change (FC) of males v. females. (F) ATRA levels in serum (nm) and lung ((pmol/ml / 10−2 m) of control treated (CTRL), low-β-carotene (βC)-diet supplemented (LBC) and high-βC supplemented ferrets (HBC) adapted from Liu et al.(237). Panels A, B, D and F are adapted from van Helden et al.(14) and Lindqvist and Andersson(144) and were permitted to reproduction under copyright.

Figure 4

Fig. 5. Transcriptional regulation of BCO1 metabolism and affected biological processes. Schematic summary of metabolism of the endogenous RAR-activator ATRA starting from ATβC, via all-trans-retinal (ATRAL) to ATRA, which can further activate RAR-RXR-mediated transcriptional signalling. In parallel the newly identified endogenous RXR-ligand 9-cis-13,14-dihydroretinoic acid (9CDHRA) can be created starting from putative carotenoid via putative retinal-analogues to 9CDHRA, which can further activate RXR-hepatocyte nuclear factor (HNF)4α, -PPAR α or -PPARγ-mediated transcriptional signalling. These three receptors (HNF4α, PPARα and PPARγ) can be activated by their ligands, free fatty acids (FFAs) and other metabolites originating from fatty acids. The RAR- or RXR-mediated signalling can positively or negatively alter transcriptional regulated BCO1-expression. LUT, lutein; CAN, canthaxanthin; ZEA, zeaxanthin.

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