| Literature DB >> 35456888 |
Konstantinos Tsiantas1, Spyridon J Konteles1, Eftichia Kritsi1, Vassilia J Sinanoglou1, Thalia Tsiaka1,2, Panagiotis Zoumpoulakis1,2.
Abstract
Advances in sequencing technologies over the past 15 years have led to a substantially greater appreciation of the importance of the gut microbiome to the health of the host. Recent outcomes indicate that aspects of nutrition, especially lipids (exogenous or endogenous), can influence the gut microbiota composition and consequently, play an important role in the metabolic health of the host. Thus, there is an increasing interest in applying holistic analytical approaches, such as lipidomics, metabolomics, (meta)transcriptomics, (meta)genomics, and (meta)proteomics, to thoroughly study the gut microbiota and any possible interplay with nutritional or endogenous components. This review firstly summarizes the general background regarding the interactions between important non-polar dietary (i.e., sterols, fat-soluble vitamins, and carotenoids) or amphoteric endogenous (i.e., eicosanoids, endocannabinoids-eCBs, and specialized pro-resolving mediators-SPMs) lipids and gut microbiota. In the second stage, through the evaluation of a vast number of dietary clinical interventions, a comprehensive effort is made to highlight the role of the above lipid categories on gut microbiota and vice versa. In addition, the present status of lipidomics in current clinical interventions as well as their strengths and limitations are also presented. Indisputably, dietary lipids and most phytochemicals, such as sterols and carotenoids, can play an important role on the development of medical foods or nutraceuticals, as they exert prebiotic-like effects. On the other hand, endogenous lipids can be considered either prognostic indicators of symbiosis or dysbiosis or even play a role as specialized mediators through dietary interventions, which seem to be regulated by gut microbiota.Entities:
Keywords: carotenoids; eicosanoids; endocannabinoids; fat-soluble vitamins; gut microbiota; lipid mediators; lipidomics; nutrition; phytosterols
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Year: 2022 PMID: 35456888 PMCID: PMC9024800 DOI: 10.3390/ijms23084070
Source DB: PubMed Journal: Int J Mol Sci ISSN: 1422-0067 Impact factor: 6.208
Figure 1Classification of the studied lipid categories.
Figure 2PRISMA flow diagram of the systematic review process.
Figure 3Primary (i.e., metabolism, gut–brain axis, and protection of epithelial integrity) and secondary (i.e., nutrients, vitamin and medicine metabolism, regulation of the immune and nervous systems, and resistance to pathogens) gut microbiome functions.
Bacteria phyla and genera in the GI tract.
| Major phyla | Stomach | Duodenum | Jejunum | Ileum | Cecum | Colon | Refs. |
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Recent studies highlighting carotenoid and gut microbiota interplay through their potential impact in various intestinal diseases and metabolic disorders.
| Experimental Model/Disease | Supplementation | Methodology | Carotenoid Impact | Ref. |
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| Male BCO1 1 −/− BCO2 2 −/− double KO 3 mice/liver cancer | 24-week treatment | (1) Liver analysis | (1) Increased diversity and richness of gut microbiome | [ |
| Volunteers, ( | 1-month treatment | (1) Biochemical analysis (BMI, pulse rate, and blood diastolic pressure) | (1) GA lycopene (GAL) had blood-lipid-lowering effects | [ |
| Postmenopausal women ( | Diet evaluation by a 116-item semi-quantitative food frequency questionnaire | (1) Sequencing of 16S rRNA | (1) Increase in | [ |
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| Male C57BL/6J mice/alcoholic fatty liver disease | 12-week treatment | (1) Serum liver analysis | (1) Decreased Bacteroides-Proteobacteria | [ |
| Male (M)–Female (F) KO and wild-type mice/obesity and diabetes | 8-week treatment | (1) AST fecal analysis | (1) ASTA affects gut microbiota composition in both (M)-(F) mice | [ |
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| ICR mice supplied with carcinogenesis agents/colorectal cancer | 14-week treatment (3 times per week) | (1) Gut microbiome analysis | (1) Alteration of gut microbiome by Fx | [ |
| Male BALB mice/obesity | 4-week treatment | (1) Cecal and fecal microbiome analysis | (1) Fx changed both cecal and fecal composition | [ |
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| C57BL/6J (TRPV1+/+) and B6.129X1-Trpv1tm1Jul/J (TRPV1−/−) mice/obesity | 12-week treatment | (1) Triglyceride, cholesterol, and insulin analysis | (1) Lower food intake and weight gain, glucose, triglyceride, insulin, and cholesterollevels in CAP + HFD-fed mice | [ |
| C57BL/6J mice/obesity | 12-week treatment | (1) Glucose tolerance tests | (1) Reduced body weight, serum triglycerides, total cholesterol, low-density lipoprotein cholesterol, and TMAO * in CAP + HFD-fed diet | [ |
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| Pregnant women ( | Gestational study at three different time points | (1) Plasma and fecal analysis | (1) AC decreased | [ |
| Rats | 1-week treatment1st group: Normal diet (control group, | (1) Enzyme analysis of inflammatory cytokines | (1) DSS increased | [ |
1 β-carotene -15, 15’oxygenase (BCO1), 2 β-carotene -9-10’xygenase, 3 double knock out (DKO). * p < 0.05, **** p < 0.0001.
Figure 4Schematic illustration of different enzymatic pathways (i.e., cyclooxygenase 1,2 (COX-1,2), lipoxygenase (LOX), and cytochrome 450 (CYP450)) of eicosanoids biosynthesis (i.e., prostaglandins (PGE, PGD, PGF, PGI, PGG), thromboxanes (TXs), leukotrienes (LTs), hydroxeicosatetraenoic acids (HETEs), and hydroperoxyeicosatetraenoic acids (HPETEs)) and their role in gut homeostasis [122]. Pink arrows indicate the different biosynthetic pathways, while red and green cycles are associated with gut dysbiosis or symbiosis, respectively.
Figure 5Schematic representation of: (a) the complex network also known as the gut–brain axis that involves different types of lipids, the gut microbiota, the central nervous system (CNS), and the endocrine and immune system, as well as (b) their impact on inflammation and gut homeostasis. Regarding bioactive lipids, red arrows and the left side indicate their pro-inflammatory activities, including dysbiosis, while blue arrows and the right side demonstrate their anti-inflammatory activities, which in turn drive a sustained net of gut symbiosis.
Up-to-date lipidomic status of exogenous or endogenous lipids.
| Experimental Model | Sample | Analytical Technique | Administrated/Studied Dietary Components | Lipid Species/Biomarkers Detected | Related Disorders | Ref. |
|---|---|---|---|---|---|---|
| Animal model (BALB/c nude mice) | Feces | GC-MS | Sitosterols | SCFAs (↑) | Colocteral cancer | [ |
| Animal model (sheep) | Rumen fluid | GC-FID | β-Sitosterol | SCFAs | Rumen acidosis | [ |
| Animal model (Syrian Golden hamsters) | Feces | GC-FID | Wood-plant sterols | (a) SCFAs | High-cholesterol diseases | [ |
| Animal model (male Sprague Dawley rats) | Feces | UPLC-QTOFMS 1, GC-FID | Phytosterol-ester-fortified skimmed milk | (a) Bile acids metabolic products (i.e., 3alpha,12alpha,15beta-trihydroxy5beta-cholan-8(14)-en-24-oic acid, 2beta,3beta-dihydroxy-6-oxo5alpha-cholan-24-oic acid, 3alpha,11alpha-dihydroxy-12-oxo5beta-cholan-24-oic acid, and (23R)-23-Hydroxy-3,7-dioxo-5betacholan-24-oic acid) (↓) | NAFLD | [ |
| Animal model Syrian Golden (hamsters) | Feces | GC-MS, GC-FID | Soybean sterols | Neutral sterols (coprostanol, campersterol, dihydrocholesterol, and cholesterol) (↑) | High-fat-diet-associated liver damages | [ |
| Human, randomized, double-blind, placebo-controlled parallel trial (adult participants) | Serum | GC-FID | Phytosterol-ester-enriched soymilk powder | Fatty acids, DHA, and EPA | NAFLD | [ |
| Human, randomized, placebo-controlled crossover trial (adult participants) | Serum, Plasma | GC-MS/MS | Margarine enriched with plantstanol esters | (a) Sitosterol, campesterol | - | [ |
| Human study (adult participants) | Feces | LC-MS/HRMS | - | Cholesterol, coprostanol, cholestanol, sitosterol, 5β-sitostanol, 5α-sitostanol, campesterol, 5β-campestanol, and 5α-campestanol | - | [ |
| Human study (adult allograft participants) | Feces | GC-MS | - | (a) Campestanol, coprostanol, and epi-coprostanol | Kidney failure/kidney transplant | [ |
| Animal model (sheep) | H&E-stained tissue samples | LC-MS | High-energy and medium-energy diet vs. normal diet, vitamin A absorption | (a) Viramin E, retinene, cholic acid, litocholic acid, and tauroursodeoxycholic acid | Male infertility | [ |
| Animal model (male C57BL/6J mice) | Cecal samples | GC-FID | Vitamin A | (a) SCFAs (acetate, propionate, butyrate, and valerate) | Obesity | [ |
| Animal model (BALB/c nude mice) | Plasma, feces | LC-MS/MS | Vitamin E δ-tocotrienol (δTE) and δTE-13′-carboxychromanol (δTE-13′) | (a) Tocotrienols δΤΕ, γΤΕ in plasma and feces (↑) | Colitis-associated colon cancer | [ |
| Animal model (male C57BL/6J mice) | Spinal cord, jejunum, ileum, colon, and duodenum homogenized samples | LC-MS | Vitamin D | Anandamide (AEA) and 2-arachidonoylglycerol (2-AG) | Chronic pain | [ |
| Human study (adult allograft participants) | Feces | GC-MS | - | γ- and δ-Tocopherols | Kidney failure/kidney transplant | [ |
| Animal model (male C57BL/6J mice) | Feces | GC-MS | Capsaicin | SCFAs: | Obesity | [ |
| Human study (adult allograft participants) | Feces | GC-MS | - | Squalene(↓) | Kidney failure/kidney transplant | [ |
| Animal study (male C57BL/6J mice) | Liver tissues | HPLC-UV | Lycopene | (a) IL1β, IL6, IL12a (↓) | High-fat-diet-promoted hepatocellular carcinoma | [ |
| Human double-blinded study (obese participants) | Serum | HPLC-UV | Lycopene | (a) | Obesity | [ |
| Animal study (male C57BL/6J mice) | Fecesepatic and liver tissues | LC-MS, GC-FID | Astaxanthin | (a) | Inflammation and metabolic homeostasis | [ |
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| Animal study (C57BL/6J-129/Sv mice) | Colons and small intestines | LC-MS | Eicosanoids | (a) PGE2,PGD2, 6-keto PGF1a, and PGG2a, (↓) | Induced intestinal inflammation and tumorigenesis | [ |
| Human study | Blood | GC-MS | Prostanoids | (a) PGE2 in responders receiving a TNF stimulation (↓) | Ulcerative colitis | [ |
| Animal study | White adipose tissue | LC-MS/MS | Lipoxin A4 | (a) Lipoxin A4 in mice fed a high-fat diet (↓) | Obesity-induced adipose inflammation/kidney disease | [ |
| In vitro and animal study (white Yorkshire-landrace pigs) | THP1 cells | LC/ESI-MS | Short-, medium-, and long-chain fatty acids | (a) (↑) EPA, DHA, and acetate | Intestinal inflammation | [ |
| In vitro study | Caco-2 cells | LC-MS/MSGC-MS | Fatty acid ethanolamide, FAEs | - | [ | |
| Animal study (C57BL/6J mice) | Plasma and adipose tissues | LC-ESI MS/MS | Phospholipids | (a) (↓) PEA, OEA, and SEA in cKO mice | [ | |
| Animal study (C57BL/6J mice) | Colon tissues | LC-MS/MS | Cannabinoids | (a) (↓) 2-AG and 2-OG, and (↑) PGE2 in PF-3845 inhibitor mice | Experimental colitis | [ |
| Human study (adult participants) | Plasma | LC-MS/MS | Dietary fatty acid for the determination of the circulation of endocannabinoidome | (a) 7 metabolites of NAEs were found | - | [ |
| Animal (mice) and human (healthy adult volunteers) | Blood | LC-MS/MS | Impact of resolvins (RvT) in infections | (a) Eicosanoids | Bacterial infections | [ |
| Human study | Urine | LC-MS/MS | Method validation for urinary ω-3 and ω-6 PUFA metabolites | More than 20 PUFA metabolites were identified and quantified | - | [ |
| Animal (male mice and human) studies (healthy adults and IBD patients) | Gastrointestinal tissues/plasma | LC-MS/MS | Impact of lipid mediators on intestinal protection | (a) (↑) LTB4, PGE2, and TXB2 in IBD patients | IBD | [ |
| Human study (healthy adults) | Human plasma/serum | LC-MS/MS | Identification of SPMs through o-3 supplementation | (a) RvE1, RvD1, LXB4, 18-HEPE, and 17-HDHA in plasma | - | [ |
| Animal study (male C57BL/6J and male Slc:ICR mice) | Feces | CE-TOFMS | Impact of sCSDS 2 on the murine intestinal ecosystem | (a) 79 fecal metabolites were identified | sCSDS | [ |
1 quadrapole time-of-flight mass spectrometry (QTOFMS), 2 subchronic and mild social defeat strees (sCSDS).