babyseed.pages.dev






Sinetrol plus avslutad faktura ändd

Effect of Sinetrol® Xpur on metabolic health and adiposity bygd interactions with gut microbiota: a randomized, open label, dose–response clinical trial

  • Research
  • Open access
  • Published:

Nutrition & Metabolismvolume 21, Article number: 83 (2024) Cite this article

  • 313 Accesses

  • 1 Altmetric

  • Metrics details

Abstract

Background

Sinetrol® Xpur fryst vatten a polyphenolic ingredient rik in citrus flavonoids that has shown vikt loss effects in previous studies. The dos dependent natur, gut microbial actions of this product has not been explored previously, thus presented in this study.

Methods

In this open label study, we evaluated the effect of Sinetrol® Xpur supplementation on healthy but overweight/obese adults (20–50 yrs) for 16 weeks. Participants (n = 20) were randomly allocated to a high dos group (HD, 1800 mg/day) or low dos group (LD, 900 mg/day) of the product for 16 weeks. tallrik composition, gut microbial composition, were evaluated using MRI and 16S rDNA sequencing respectively at week 1 and 16.

Results

We observed HDL, HbA1C, LDL and leptin improved significantly over 16 weeks, irrespective of the dosage. There was a trend for decrease in visceral adipose tissue (VAT), BMI over time and body vikt displayed a trend for dos dependent decrease. Eubacterium xylanophilum, Ruminococcacea UCG-004 genus which increased in HD and LD respectively were negatively associated to VAT. Both doses increased butyrate producers such as Eubacterium ruminantium and Ruminococcaceae NK4A214 genus.

Conclusions

Overall chronic supplementation of Sinetrol® Xpur, irrespective of their dos improved HDL, HbA1c, LDL and leptin and tended to decrease visceral adipose tissue via changes in gut microbiota.

Trial registration number NCT03823196.

Introduction

Prevalence and increase in the global obesity epidemic have led to the development of several prevention and treatment strategies. Lifestyle modifications such as consuming balanced diet and increasing physical activity are effective methods, although adherence to these approaches fryst vatten poor [1]. Amongst other strategies, the use of plant based polyphenolic compounds have been increasingly recognized for their ability to promote vikt loss and provide cardiovascular protection. Polyphenols have also shown to act directly on adipose tissue which serves as an important site in the progress of metabolic disorders [2].

Ingested polyphenols undergo a bred range of enzymatic modifications in the small intestine resulting in phenolic metabolites which in vända are absorberad and distributed to various body sites before being excreted. However, only 5–10% of the polyphenols undergo this fate, whereas the rest reaches the colon where they are bio-transformed bygd actions of several microbial enzymes [3]. The resulting metabolites, referred to as colonic metabolites are either excreted via feces or absorberad via portal circulation where they undergo phase-II biotransformation after which they are circulated to the organs and excreted in the urine [4]. Prior studies have shown that accumulation of polyphenolic metabolites in organs such as the liver, the adipose and the brain could indikera their possibility of action at these sites [5,6,7]. Especially in the adipose tissue, these compounds have shown to exhibit their effects via various mechanisms such as promoting gene expression of Ucp1, Chrebp, Glut4 and reducing activities of NF-kB, JNK pathway [8, 9]. Flavanones such as naringenin and hesperidin have shown glucose lowering and lipid modulating effects in invitro studies, however the human studies have shown inconsistent results [10, 11]. High interindividual variation in the gut microbial metabolism of polyphenols are attributed as one of the reasons for these inconsistent results. Studies bygd Assini et al. and Mena et al. have shown that various individuals display a bred distinction in the presence of polyphenolic colon metabolites thus indicating a potential difference in their bioavailability and bioactivity [8, 12, 13].

The important role of gut microbiota in energy homeostasis and metabolic regulation fryst vatten well established. The interaction of polyphenols with gut microbiota fryst vatten bidirectional and complex. The aglycone release bygd colonic microbiota fryst vatten the rate-limiting step in the absorption of naringenin [14]. Thus, understanding the changes in gut microbiota fryst vatten an important part of elucidating the mechanism of action of the polyphenols. Members of orsaka such as Eubacterium have been associated with metabolism of flavonoids, whereas other species such as Flavonifractor plautii and Enterococcus casseliflavus have shown to involve in metabolism of flavonoid such as quercetin [15]. Other bacterial orsaka such as Lactobacillus and Bifidobacterium have also shown to increase with polyphenol consumption [16]. Interestingly members of Bifidobacteria have also been inversely associated with adipose tissue inflammation, glucose tolerance and lipopolysaccharide levels, thus potentially indicating an indirect effect of polyphenol consumption [17, 18].

Although many studies indikera a strong effect of polyphenol consumption on body composition and gut microbiota interactions, only few of the studies evaluated these effects during chronic consumption in humans. Taking this into konto, in this study we report the effect of chronic consumption (16 weeks) of two doses of Sinetrol® Xpur on vikt loss, improvement of metabolic health and corresponding changes in gut microbiota. Sinetrol® Xpur fryst vatten a patented polyphenol extrakt rik in flavanones from grapefruit, pomelo, sweet apelsinfärg, blood apelsinfärg and caffeine derived from guarana extrakt. Previous studies on Sinetrol® Xpur have shown a reduction in body vikt (− 3.28 ± 0.24%) and body tallrik percentage (− 9.73 ± 0.54%) in comparison to placebo group [19, 20]. However, the possibility of improving the bioactivity could be dos dependent which we have explored in this study. We also report the gut microbiota interactions between Sinetrol® Xpur and its two doses that could be involved in its mechanism.

Methods

Study design, product, and participants

This study reports the results from an open labelled clinical rättegång with 20 overweight (BMI 27–30 kg/m2) but otherwise healthy volunteers in the age group of 20–50 years. Participants also were evaluated for their total tallrik mass using Bioelectrical impedance analysis (BIA) assessment with criteria of ≥ 25% for dock and ≥ 32% for women. Participants declared of no known existing chronic disease conditions. The exclusion criteria included presence of any metabolic/chronic diseases, current use of medication/food supplements, formerly obese with a history of yoyo-effect, pregnancy/lactation/menopause in women and any known allergic reactions to components of the supplement (ie apelsinfärg, grapefruits, guarana and or coffee). All the participants provided a consent to participate form eller gestalt with written signature. Ethics approval was obtained from the Ethical Committee of Universidad Catolica San Antonio dem Murcia in compliance with the guidelines laid out in the Declaration of Helsinki and with Good Clinical Practices defined in the ICH Harmonized Tripartite Guideline, CE5551.

The participants were randomly allocated to the high or low dos group consuming either 900 mg/day or 1800 mg/day of the product respectively for everyday during a period of 16 weeks. Randomization of participants into the groups were conducted with Microsoft® Excel schema. The product supplemented was Sinetrol® Xpur, a polyphenolic ingredient mainly composed of flavanones. The characteristics and the pharmacokinetics of the product fryst vatten described elsewhere [21]. Participants were asked to restrain from foods rik in polyphenols (list in Supplemental Information) and were instructed bygd a dietician to consume normocaloric diet according to their individual needs (calculated from Harris-Benedict equation). They were also advised to not perform any increased physical activity (measured with pedometer) throughout the duration of the study. Compliance to the study was evaluated bygd retrieving the pill boxes at the end of study and to count the number of pills left. Compliance to the dietary recommendations were assessed through 24-h diet recall questionnaire (2 interviews during the week and 1 interview during weekend) performed during each visit.

Anthropometric and biochemical variables

Body weight

At each visit to the Research Center, the following variables were monitored: height, body vikt on a scale, waist & hip circumferences using a non-stretchable tejp. Subjects were in a fasted state since the dinner of the previous day (taken around 8:00 pm) and wearing light clothing and no shoes.

Abdominal tallrik composition

At week 1 and 16, abdominal tallrik composition was measured using MRI on vertebral endplate of L4/L5 with slice thickness of 2.5 mm. Subsequently images were analysed to estimate the visceral and subcutaneous adipose tissue.

Blood sampling

At W1 and W16, with fasting volunteers, 15 mL blood was extracted from the basilica vein with TBD tubes (% mL) Terumo Venoject (Terumo, Leuven, Belgium) with EDTA or dry tube. The blood was centrifugated at 30,000 r.p.m. for 10 min at 4 °C. Immediately after centrifugation, plasma (from EDTA tube) or serum (from dry tube) were extracted and proportionally divided in aliquots of 0.5 mL (Eppendorf tubes). These samples were fryst for further analysis. Various markers were analysed with ELISA assays (1) sTNFR1, sTNFR2, CD14, TNF, IL10, MCP1 [Bio-techne, USA], (2) Zonulin [IDK Diagnostics, Germany], (3) Adiponectin, Leptin [TECO, Switzerland], (4) IL6 [Fujirebio, Japan], were analysed with standard ELISA assays. Free fatty acid [Diasys, Germany] was quantified with calorimetry and hsCRP [Beckman Coulter, USA] with nephelometer.

Identification and quantification of blood and urine metabolites

Blood sampling was conducted at baseline and week 16 at various time points including baseline (T0), and at 2, 5, 6, 7, 10, 15 and 24 h after Sinetrol® Xpur consumption. Solid phase extraction method was used to extrakt plasma and samples were stored at -80 C until further analyses. Urine were collected both at week 1 and week 16 at time point 0 and at different collection periods within 0–5 h, 5–10 h, 10–15 h, 15–24 h and 24–48 h. Urine samples were prepared as previously reported bygd Brindani and colleagues [22]. Briefly, urine samples were defrosted, vortexed, diluted in 0.1% formic acid in vatten (1:3, v/v), and centrifuged at 14,000 rpm for 10 min. Finally, urine samples were filtered (0.45 μm nylon filter) prior to the UHPLC/ESI–MS/MS analysis.

Urine samples were analysed bygd a UHPLC DIONEX Ultimate 3000 equipped with a triple quadrupole TSQ Vantage (Thermo Fisher Scientific Inc., San José, CA, USA) fitted with a heated-ESI (H-ESI) (Thermo Fisher Scientific Inc., San José, CA, USA) probe. Plasma samples were analysed bygd a UHPLC-ESI–MS/MS analysis using the same analytical method used for urine samples, looking for the same flavanone metabolites (about 130, based on available uppgifter on human and microbial metabolism of flavanones).

Quantification was performed with calibration curves of standards, when available or using the most structurally similar compound. information processing was performed using Xcalibur software (Thermo Scientific Inc., Waltham, MA, USA). Further details are provided in the previously published article [21].

Fecal sampling and 16S rRNA sequencing

Participants were supplied with fecal collection kit including cooling bag, ice pad, sterile collection tube, storage bur, and anaerocult tallrik (VWR, USA). Participants were instructed to collect the faecal samples only after emptying their bladder. Faeces collected was instructed to be bought to the UCAM with the ice pack and cooling bag within 24 h of excretion. Samples were immediately stored at -80 C until further analyses.

Microbial DNA was extracted using QIAamp Fast tool Kit (Qiagen, Hilden, Germany) and DNA concentrations were quantified using UV spectroscopy (Nanodrop®, Thermo Scientific). Bacterial populations were determined using next generation high throughput sequencing of variabel regions V3-V4 of the 16S rRNA gener (using Vaiomer universal 16S primers) as described before [23]. The detection of the sequencing fragments was performed with the MiSeq Illumina technology using the 2 × 300 paired end MiSeq kit V3. The targeted metagenomic sequences from microbiota were analyzed using the bioinformatics pipeline established bygd Vaiomer from the FROGS guidelines [24]. Briefly, after demultiplexing of the bar-coded Illumina paired reads, single read sequences are cleaned and paired for each sample independently into längre fragments. Operational taxonomic units (OTUs) are produced via agglomerative, unsupervised (de novo) single-linkage clustering and taxonomic assignment fryst vatten performed in beställning to determine community profiles.

The following specific filters have been applied for this analysis in beställning to obtain the best results:

  • The gods 10 bases of reads R1 were removed.

  • The gods 10 bases of reads R2 were removed.

  • Amplicons with a length < 350 nt or a length > 500 nt were removed.

  • OTUs with överflöd lower than 0.005% of the whole dataset överflöd were removed.

The taxonomic assignment was given bygd Blast + v2.2.30 with databank skogsvegetation eller litteraturterm för en samling texter 132 Parc. We aggregated the samples at genus level and applied a filter for keeping microbiota with relative överflöd of > 0.1% and detected in at least 10% of the samples.

Statistical analysis

Participant anthropometric uppgifter were represented as mittvärdet i en uppsättning data and standard deviation. We tested for confounders such as diet intake and the pedometer readings. For blood and body vikt variables a linear mixed model accounting for time and dos was conducted. brev hoc test was conducted to identify the differences within the group. For microbiota analysis, a negativ binomial regression was used from the package NBZIMM in R. Unexpectedly, the carbohydrate and lipid % varied significantly during the study duration (tested bygd Anova). Hence, they were accounted for within the mixed model. With the överflöd at various dos and time, we constructed a heat plot parallel to the results obtained in NBZIMM. We further evaluated the changes (delta) of significantly varying markers and microbiota (CLR transformed) and conducted an association analysis using general linear model, adjusted for sex, dos and other confounders. These are represented in Table 2.

Results

Twenty participants were included in the study of which nineteen were included in this analysis. One of the participants was removed due to noncompliance. Participants were aged 32.7 (9.6) years in LD and 28.6 (6.6) years in HD. At the beginning of the study, none of the study parameters measured differed between the two groups. No adverse events were reported during the study.

Although participants did not change their total energy consumption during the study, carbohydrate % (LD = 8.3 (10.5), HD = 7.3 (12.1)) and tallrik % (LD = 6.3 (9.2), HD = 6.9 (13.9)) changed significantly over 16 weeks, without differences between the groups (Additional en samling dokument eller en elektronisk lagring av data 1). To konto for these changes, further models were adjusted with these two factors.

Changes in body vikt and body tallrik (Table 1)

Full storlek table

Body vikt in high dos reduced significantly from 87.83 (SD 6.09) Kg at W1 to 84.74 (SD 7.00) Kg in W16, whereas in low dos there were no changes (Week 1: 83.12 (SD 9.84) Kg, Week 16: 83.18 (SD 11.68)) Kg. Overall, the changes in vikt showed a trend (p = 0.06) for significant reduction over 16 weeks, there was also a trend (p = 0.06) for Dose*Time interaction. There was reduction in visceral adipose tissue in both the groups (HD W1: 87.08 (39.29) to W16: 79.81 (29.05) vs LD W1: 82.92 (23.72) to W16: 79.16 (21.99)) although not significantly, the overall change showed a trend for reduction over the time of 16 weeks (p = 0.06). There were no changes in total subcutaneous adipose tissue in the low dos group. The high dos group showed a reduction in total subcutaneous adipose tissue although this was not significant.

Changes in glucose and lipid parameters (Table 1)

The fasting glucose levels did not change during the study, however the HbA1c which fryst vatten a consistent marker of circulating glucose showed a significant reduction in both the doses. The total cholesterol and triglycerides did not change significantly during the study. HDL cholesterol and LDL cholesterol significantly improved over 16 weeks. HDL cholesterol also showed significant improvement within each group (HD W1: 59.39 (12.22) to W16: 73.10 (6.36) vs LD W1: 54.29 (13.71) to W16: 68.21 (8.59).

Changes in markers associated with inflammation (Table 1)

We measured various markers associated with inflammation such as hsCRP, free fatty acids, Leptin, Adiponectin, sTNFR1, sTNFR2, CD14, TNF-a, IL-6, IL-10 and MCP 1. Amongst these we observed a significant reduction in Leptin indicating that the participants were improving their leptin levels from a range suggestive of obese population to a healthy population [25, 26]. sTNFR1 which fryst vatten an integral part of meddelande struktur in TNF-a mediated inflammation, also showed a significant decrease in 16 weeks.

Changes in gut microbiota composition (Fig. 1)

Changes in log relative överflöd of microbial species during the study period

Full storlek image

After the quality control of the sequences, we obtained average number of 36,984 reads. Removing the OTUs that was below the threshold of prevalence, we obtained 82 orsaka. Amongst these, we observed various orsaka to change during the 16 weeks of supplementation. With Dose*Time interaction we noted Butyricicoccus, Eubacterium ruminatium, Prevotella 2 to increase in low dos compared to high dos. Within the low dos Ruminococcaceae UCG 004 increased and Desulfovibrio decreased from Week 1 to Week 16. Within high dos Lachnospiraceae NK4A136 and Ruminococcaceae NK4A214 increased significantly. Considering Time response, overall Phascolarbacterium, Desulfovibrio decreased and Ruminococcaceae NK4A214 increased.

Association between changes gut microbiota and measured variables (Table 2)

Full storlek table

We noted that the change in sTNFR1 was negatively associated with changes in Eubacterium xylanophilum (p < 0.005). The same orsaka were also associated negatively with changes in visceral adipose tissue (p = 0.01). We also observed the increase in Ruminococcaceae UCG 004 was associated with decrease in visceral adipose tissue (p = 0.04). HDL cholesterol which increased in both the groups was negatively associated with Eubacterium coprostanoligens. Additionally, when we tested these associations for metabolites in urine and blood that changed significantly for 16 weeks (Additional en samling dokument eller en elektronisk lagring av data 2 and 3), we noted that change in vikt was positively associated to change in colonic metabolites excreted (Additional en samling dokument eller en elektronisk lagring av data 4). The significance was diminished when corrected for multiple p-testing. However, as an exploratory analysis, these values are reported here.

Discussion

This study reports that supplementation of the polyphenol rik extrakt Sinetrol® Xpur promotes improvement in HDL, HbA1c, reduction in LDL, and leptin which were time dependent and not dos dependent. The HD (1800 mg/d) consumption tends (p = 0.06) to aid vikt loss in comparison to the LD (900 mg/d) over a period of 16 weeks. These changes were accompanied with a trend of decrease in visceral adipose tissue. Our study supports the well-established hypothesis of body vikt reduction induced bygd citrus polyphenols as reported in a meta-analysis and dwells deeper into the role of microbiota in these health effects [27]. We observed a time dependent increase in beneficial microbial orsaka such as Prevotella 2, Ruminococcaceae NK4A214 and Eubacterium ruminantium.

Although previous studies with Sinetrol® Xpur have already indicated a vikt loss effect, the dos dependency and the effects on gut microbiota are yet to be explored, thus presented in this study. Contradictory to the previous study with Sinetrol® Xpur we did not observe significant vikt loss effects in the LD (900 mg/d). Even though there was no overall vikt loss in LD, 3 (out of 10) participants showed a significant reduction of > 1.5 kg (reference set from the meta-analysis [27]), contrarily in the HD group 2 participants showed a vikt loss less than 1.5 kg, indicating the potential presence of “responders” and “non-responders” in the study population. Previous studies with flavonoids have also shown the possibility of responders and non-responders depending on their ability to metabolize the compounds. In fact, study bygd Mollace et al. has shown that increasing the dosage of flavonoid could mitigate the probability of not responding to the flavonoid treatment [28]. Thus, indicating that some non-responders in the LD could benefit from HD which needs to be confirmed with future studies. Another interesting påstående to be regarded while evaluating vikt loss studies fryst vatten that, traditionally vikt loss trials also result in decline of lean mass which are metabolically active tissues. Thus, with Sinetrol® Xpur it would be interesting to also understand the body composition while undergoing vikt loss. With this understanding we could evaluate if the LD induces tallrik mass loss without loss in lean mass. Several in vitro and djur studies have explored the mechanism of action of naringenin, hesperidin and its metabolites. Some of these mechanisms are the ability of naringenin, hesperidin and its metabolites to (1) down-regulate oxidative stress (2) hämma NF-κB activation to suppress inflammatorisk cytokines and (3) the indirect action of producing colonic metabolites and SCFAs [29,30,31].

Members of Eubacterium orsaka are flavonoid degraders which producera butyrate as a by-product. Previous studies with citrus flavonoid supplementation in mice have shown increase in relative abundances of various Eubacterium orsaka [31, 32]. An important finding from this study fryst vatten the trend in the reduction of VAT and its relation to the bacterial orsaka Eubacterium xylanophilum. This fryst vatten consistent with previous report that suggest Eubacterium xylanophilum negatively associated with adiposity [33, 34]. Although Eubacterium xylanophilum increased only in the HD, we observed other butyrate producing orsaka such as Eubacterium ruminatium, Prevotella 2, Ruminococcaceae NK4A214 to increase in both the doses. This could indikera that different doses of the supplement could promote different bacterial orsaka with similar functional capacity of producing butyrate. Butyrate has shown to promote thermogenesis in brown adipose tissue bygd activating lysine specific demythylase (LSD1) which could be a potential pathway for action of Sinetrol® Xpur.

With Sinetrol® Xpur supplementation, we observed a time dependent increase in resting energy expenditure and carbohydrate expenditure. Interestingly the change in resting energy expenditure of LD was significant. Components of Sinetrol Xpur namely caffeine and flavonoids have been noted for their ability to increase energy expenditure through various mechanism such as inhibition of phosphodiesterase and through stimulation of β2-adrenergic receptors [35]. Paraprevotella, a common human gut microbe producing acetic and succinic acid, was associated positively with carbohydrate and resting energy expenditure in our study. Not many reports exist on the relation of Paraprevotella and energy expenditure, except the study from Bressa et al., where Paraprevotella was noted to be relatively higher in the active women compared to sedentary women [36]. Even though the mechanism of action of Paraprevotella on energy expenditure fryst vatten unknown, we could postulate from previous studies that acetate and succinate could act on upregulation of thermogenesis related genes: peroxisome proliferator-activated receptor-γ (PPARγ) and uncoupling protein 1 (UCP1) [37].

Previous studies have hypothesized that action of flavonoids could be via the phase II and the colonic metabolites in circulation. Predominant of these studies have shown the associations between circulating polyphenolic metabolites and health effects in an acute set up. However, the chronic consumption of polyphenols and excreted metabolites have been controversial [21]. A recent study in mice supplemented with blueberries for 90 days has shown that repeated exposure of polyphenolics could show a nonlinear pattern of urinary excretion of metabolites over time, alongside detection of some metabolites in various tissues [38]. Considering this, an interesting hypothesis we can föreslå from our study fryst vatten that with repeated exposure the metabolites are able to accumulate in tissues, thus act in their site of action. Supporting this hypothesis, we observed that colonic urinary metabolites were positively associated with the vikt loss. The validity of this hypothesis must be studied in future studies bygd evaluating the presence of active polyphenol metabolites in the VAT.

Lipid, insulin and adiposity profiles are three closely associated factors determining the metabolic state of an individual. Leptin an important hormone involved in energy regulation was funnen to be reducing significantly in both the intervention groups. This fryst vatten consistent with the recent reports that reduction in adipose tissue could also lead to reduction in circulating leptin thus aiding vikt loss [39]. Thus, in this study we observe that supplementation of Sinetrol® Xpur irrespective of the dosage lead towards a better metabolic state compared to the baseline. Corresponding to these changes we observe many bacterial orsaka also moving in same direction within both intervention groups. This could indikera an overall shift in gut microbiota due to Sinetrol® Xpur.

Future studies with measurement of tallrik composition, fecal SCFAs, metabolites in the tissues and with larger study population could strengthen the hypothesis proposed in this study. A limitation of this study fryst vatten the absence of control group. However, prior reports on this supplement [19, 40] have shown its efficacy in comparison to placebo. Secondly, even with no significant changes in total energy consumption, there was a significant change in carbohydrate and tallrik intake over a period of 16 weeks. Thus, even after adjustment for these factors, some residual effects cannot be overruled. Along with the limitations strengths of this study deserve to be mentioned. The inclusion of tallrik composition uppgifter with MRI, metagenomic sequencing of gut microbiota, metabolomic analysis of circulating and excretory metabolites over a period of 16 weeks allowed this study to capture a comprehensive picture of mid-term effect of the polyphenolic extrakt, Sinetrol® Xpur consumption. Overall, we conclude that Sinetrol® Xpur irrespective of the dosage could benefit the lipid, insulin and visceral adipose metabolism of overweight or obese subjects via modulation of gut microbiota and polyphenol metabolites. Higher dosage of Sinetrol® Xpur could also relatively increase the vikt loss compared to the lower dos in a period of 16 weeks.

Availability of uppgifter and materials

The uppgifter presented in this study are available on request from the corresponding author, due to privacy restriction.

Abbreviations

High dose

Low dose

Bioelectrical impedance

Visceral adipose tissue

References

  1. Pedretti RFE, Hansen D, Ambrosetti M, Back M, Berger T, Ferreira MC, et al. How to optimize the adherence to a guideline-directed medical therapy in the secondary prevention of cardiovascular diseases: a clinical consensus statement from the europeisk Association of Preventive Cardiology. Eur J Prev Cardiol. 2023;30(2):149–66. https://doi.org/10.1093/eurjpc/zwac204.

    ArticlePubMed Google Scholar

  2. Farhat G, Drummond S, Al-Dujaili EAS. Polyphenols and their role in obesity management: a systematic review of randomized clinical trials. Phytother Res. 2017;31(7):1005–18. https://doi.org/10.1002/ptr.5830.

    ArticleCASPubMed Google Scholar

  3. Catalkaya G, Venema K, Lucini L, Rocchetti G, Delmas D, Daglia M, et al. Interaction of dietary polyphenols and gut microbiota: microbial metabolism of polyphenols, influence on the gut microbiota, and implications on host health. Food Front. 2020;1(2):109–33. https://doi.org/10.1002/fft2.25.

    Article Google Scholar

  4. Chen L, Cao H, Xiao J. 2 - polyphenols: absorption, bioavailability, and metabolomics. In: Galanakis CM, editor. Polyphenols: properties, recovery, and applications. Sawston: Woodhead Publishing; 2018. p. 45–67.

    Google Scholar

  5. Andres-Lacueva C, Macarulla MT, Rotches-Ribalta M, Boto-Ordóñez M, Urpi-Sarda M, Rodríguez VM, et al. transport of resveratrol metabolites in liver, adipose tissue, and skeletal muscle in rats fed different doses of this polyphenol. J Agric Food Chem. 2012;60(19):4833–40. https://doi.org/10.1021/jf3001108.

    ArticleCASPubMed Google Scholar

  6. Janle EM, Lila MA, Grannan M, Wood L, Higgins A, Yousef GG, et al. Pharmacokinetics and tissue transport of 14C-labeled grape polyphenols in the periphery and the huvud nervous struktur following oral ledning. J tillsammans Food. 2010;13(4):926–33. https://doi.org/10.1089/jmf.2009.0157.

    ArticleCASPubMedPubMed huvud Google Scholar

  7. Les F, Carpéné C, Arbonés-Mainar JM, Decaunes P, Valero MS, López V. Pomegranate fruktsaft and its main polyphenols exhibit direkt effects on amine oxidases from human adipose tissue and hämma lipid metabolism in adipocytes. J Funct Foods. 2017;33:323–31.

    ArticleCAS Google Scholar

  8. Assini JM, Mulvihill EE, Burke AC, Sutherland BG, Telford dem, Chhoker SS, et al. Naringenin prevents obesity, hepatic steatosis, and glucose intolerance in male mice independent of fibroblast growth factor 21. Endocrinology. 2015;156(6):2087–102. https://doi.org/10.1210/en.2014-2003.

    ArticleCASPubMed Google Scholar

  9. Chtourou Y, Fetoui H, Jemai R, ben Slima A, Makni M, Gdoura R. Naringenin reduces cholesterol-induced hepatic inflammation in rats bygd modulating matrix metalloproteinases-2, 9 via inhibition of nuclear factor κB pathway. Eur J Pharmacol. 2015;746:96–105.

    ArticleCASPubMed Google Scholar

  10. Mayneris-Perxachs J, Alcaide-Hidalgo JM, dem la Hera E, sektion Bas JM, Arola L, Caimari A. Supplementation with biscuits enriched with hesperidin and naringenin fryst vatten associated with an improvement of the Metabolic Syndrome induced bygd a cafeteria diet in rats. J Funct Foods. 2019;61:103504.

    ArticleCAS Google Scholar

  11. Demonty inom, Lin Y, Zebregs YEMP, Vermeer MA, van der Knaap HCM, Jäkel M, et al. The citrus flavonoids hesperidin and naringin do not affect serum cholesterol in moderately hypercholesterolemic dock and women. J Nutr. 2010;140(9):1615–20. https://doi.org/10.3945/jn.110.124735.

    ArticleCASPubMed Google Scholar

  12. Bolca S, van dem Wiele T, Possemiers S. Gut metabotypes govern health effects of dietary polyphenols. Curr Opin Biotechnol. 2013;24(2):220–5.

    ArticleCASPubMed Google Scholar

  13. Mena P, Ludwig IA, Tomatis VB, Acharjee A, Calani L, Rosi A, et al. Inter-individual variability in the production of flavan-3-ol colonic metabolites: preliminary elucidation of urinary metabotypes. Eur J Nutr. 2019;58(4):1529–43. https://doi.org/10.1007/s00394-018-1683-4.

    ArticleCASPubMed Google Scholar

  14. Manach C, Morand C, Gil-Izquierdo A, Bouteloup-Demange C, Rémésy C. Bioavailability in humans of the flavanones hesperidin and narirutin after the ingestion of two doses of apelsinfärg fruktdryck. Eur J Clin Nutr. 2003;57(2):235–42.

    ArticleCASPubMed Google Scholar

  15. Corrêa TAF, Rogero MM, Hassimotto NMA, Lajolo FM. The two-way polyphenols-microbiota interactions and their effects on obesity and related metabolic diseases. Front Nutr. 2019;6:188.

    ArticlePubMedPubMed huvud Google Scholar

  16. Ma G, Chen Y. Polyphenol supplementation benefits human health via gut microbiota: a systematic review via meta-analysis. J Funct Foods. 2020;66:103829.

    ArticleCAS Google Scholar

  17. Cani PD, Neyrinck AM, Fava F, Knauf C, Burcelin RG, Tuohy KM, et al. Selective increases of bifidobacteria in gut microflora improve high-fat-diet-induced diabetes in mice through a mechanism associated with endotoxaemia. Diabetologia. 2007;50(11):2374–83. https://doi.org/10.1007/s00125-007-0791-0.

    ArticleCASPubMed Google Scholar

  18. Liao ZL, Zeng BH, Wang W, Li GH, Wu F, Wang L, et al. Impact of the consumption of tea polyphenols on early atherosclerotic skada formation and intestinal Bifidobacteria in high-fat-fed ApoE−/− mice. Front Nutr. 2016;3:42.

    ArticlePubMedPubMed huvud Google Scholar

  19. Cases J, Romain C, Dallas C, Gerbi A, Rouanet JM. A 12-week randomized double-blind parallel pilot rättegång of Sinetrol XPur on body vikt, abdominal tallrik, waist circumference, and muscle metabolism in overweight dock. Int J Food Sci Nutr. 2015;66(4):471–7. https://doi.org/10.3109/09637486.2015.1042847.

    ArticleCASPubMed Google Scholar

  20. Dallas C, Gerbi A, Elbez Y, Caillard P, Zamaria N, Cloarec M. Clinical study to assess the efficacy and safety of a citrus polyphenolic extrakt of red apelsinfärg, grapefruit, and apelsinfärg (Sinetrol-XPur) on vikt management and metabolic parameters in healthy overweight individuals. Phytother Res. 2014;28(2):212–8. https://doi.org/10.1002/ptr.4981.

    ArticleCASPubMed Google Scholar

  21. Muralidharan J, Romain C, Bresciani L, Mena P, Angelino D, sektion RD, et al. Nutrikinetics and urinary excretion of phenolic compounds after a 16-week supplementation with a flavanone-rich ingredient. Food Funct. 2023;14(23):10506–19.

    ArticleCASPubMed Google Scholar

  22. Brindani N, Mena P, Calani L, Benzie inom, Choi SW, Brighenti F, et al. Synthetic and analytical strategies for the quantification of phenyl-γ-valerolactone conjugated metabolites in human urine. Mol Nutr Food Res. 2017;61(9):1700077. https://doi.org/10.1002/mnfr.201700077.

    ArticleCAS Google Scholar

  23. Lluch J, Servant F, Païssé S, Valle C, Valière S, Kuchly C, et al. The characterization of novel tissue microbiota using an optimized 16s metagenomic sequencing pipeline. PLoS One. 2015;10(11):e0142334. https://doi.org/10.1371/journal.pone.0142334.

    ArticleCASPubMedPubMed huvud Google Scholar

  24. Escudié F, Auer L, Bernard M, Mariadassou M, Cauquil L, Vidal K, et al. FROGS: find, rapidly, OTUs with galax solution. Bioinformatics. 2018;34(8):1287–94. https://doi.org/10.1093/bioinformatics/btx791.

    ArticleCASPubMed