Everts V, Delaissé JM, Korper W, Jansen DC, Tigchelaar-Gutter Healfh, Saftig Polyyphenols, et Fat burners for sustainable results. The MAPKs pathway can Polyphenols and bone health activated in most, if not all, of the vertebrate Polyphenols and bone health by a wide Polyphenola of receptor tyrosine kinases TRKsgiving Poluphenols to multiple cross-talks with other signaling pathways thanks to the association with different scaffold proteins and to different docking motifs. The aim of this review paper was achieved on the development of osteoclast-targeting plant polyphenols that could be a great value for the prevention or treatment of bone resorption. Ahmed S, Hasan MM, Khan H, Mahmood ZA, Patel S The mechanistic insight of polyphenols in calcium oxalate urolithiasis mitigation. Genistein improves bone healing via triggering estrogen receptor alpha-mediated expressions of osteogenesis-associated genes and consequent maturation of osteoblasts.

Polyphenols and bone health -

Prevention is the only intervention with the potential to offset the personal, social, and economic burden of age-related chronic diseases such as osteoporosis [ 1 , 2 ].

Studies have suggested that specific dietary patterns may reduce the risk of osteoporosis and its harmful consequence as fractures, disability, and poor quality of life, especially if started at young age and maintained over the entire life course [ 3 ].

Indeed, epidemiological studies have shown that a large and diverse consumption of fruit could positively influence the structural and qualitative properties of the bone [ 4 , 5 ].

For example, in a population of about Chinese individuals, a greater consumption of fruit was associated with lower risk of hip fracture [ 6 ].

The protective effect of fruit consumption against osteoporosis has been attributed to different compounds with polyphenols being one of the strongest candidates [ 5 ].

Polyphenols are a family of natural organic molecules, widely present in plant-derived foods. They are characterized, as the name indicates, by the presence of one or more phenolic groups, organized in more or less complex structures, generally of high molecular weight [ 7 ].

The assessment of polyphenol plasma concentration is difficult because their blood concentration is in the micromolar range. Moreover, pharmacokinetics profiles of the different classes of polyphenols, and interindividual differences in the intestinal absorption, kinetics, metabolism, and excretion could interfere with the assessment of polyphenol exposure.

Urinary excretion of polyphenol metabolites is considered a good biomarker of polyphenol exposure, only minimally affected by renal function, which may be reduced in older subjects [ 8 , 9 ].

The biological activity of polyphenols has been attributed to their antioxidant and anti-inflammatory properties [ 10 , 11 ]. There is also some evidence that polyphenols may stimulate osteoblast maturation and survival [ 15 ].

These effects cause an increase in bone mineral density BMD , both of the long bones and the vertebrae, as well as the modulation of the microstructural architecture of the bone [ 13 ]. In spite of these pre-clinical findings, whether dietary intake of polyphenols has beneficial effect on bone health in humans remains uncertain.

The aim of this study was to evaluate the association between urinary total polyphenols UTP , used as a proxy measure of polyphenol intake, and longitudinal changes of bone mineralization and architecture in a cohort of free-living subjects, representative of the Italian population.

The design of the InCHIANTI study has been described in details elsewhere [ 16 ]. Briefly, the study was designed by the Laboratory of Clinical Epidemiology of the Italian National Institute of Research and Care on Aging INRCA, Florence, Italy and performed in two small towns in Tuscany.

The baseline data were collected in —; the 3-year follow-up took place in — and the 6-year follow-up in — Of the participants enrolled at baseline in the InCHIANTI Study, participants were included in this study because they consented to donate a urine sample and all variables of interest for this study were available.

Participants were all European subjects and of Caucasian race. The Ethical Committee of the Local Health Authority of Florence, Tuscany Region, approved the study protocol, and written informed consent was obtained from each participant.

At baseline as in the subsequent follow-up, usual food consumption and energy intake were estimated through personal interviews and by the Italian version of the European Prospective Study into Cancer and Nutrition study EPIC [ 17 ], a tool previously validated in the Italian population [ 18 ].

The information derived from the questionnaire was converted into data on energy, micronutrient intake, and macronutrient intake, by software specifically customized for the EPIC study.

At baseline, h urine samples were obtained from participants. Samples were thawed on ice and analyzed using the Folin-Ciocalteau F-C assay after a solid-phase extraction, which allows the elimination of interfering substances that could react with the F-C assay, as described previously [ 20 ].

UTP concentrations were expressed as mg of gallic acid equivalents GAE per h urine. UTP were recoded according to tertiles of distribution inter-tertile ranges: The peripheral quantitative computed tomography pQCT was performed by the XCT device Stratec Medizintechnik, Pforzheim, Germany.

A detailed description of the tibial QCT examination, in the InCHIANTI study, has been published elsewhere [ 21 ]. The images obtained from the pQCT were analyzed using the BonAlyse software BonAlyse Oy, Jyvaskyla, Finland. Cortical thickness CTh : average thickness of the circular crown formed by the centered periosteal and endocortical circumferences, in mm; periosteal perimeter PP : external perimeter of the tibia cross section, assimilated to a circular figure assessed automatically , in mm; medullary area MedA : is the difference between total and cortical bone areas.

It provides a valid estimate of resistance to bending;. The intraassay and interassay coefficients of variation for vitamin D were 8. Annunziata Hospital, Azienda Sanitaria 10, Florence, Italy, using a colorimetric assay TP, Roche Diagnostics, GmbH, Mannheim, Germany and a Roche analyzer Roche Diagnostics, GmbH, Mannheim, Germany.

At baseline, the analyzer was a Hitachi For the follow-ups, it was a Modular P Hitachi. Glomerular filtration rate was calculated according to Cockcroft-Gault formula [ 23 ].

The short physical performance battery SPPB based on the lower-extremity performance tests used in the Established Populations for the Epidemiologic Studies of the Elderly EPESE was used here to summarize lower extremity performance [ 24 ].

The SPPB consisted of walking speed, ability to stand from a chair, and ability to maintain balance in progressively more challenging positions. Each physical performance measure was categorized into a five-level score, with 0 representing inability to do the test and 4 representing the highest level of performance.

The three measures were then added to create a summary physical performance measure ranging from 0 worst to 12 best. Participants were asked to perform the task twice with each hand. The average of the best result obtained with each hand was used for these analyses.

Information on smoking status was collected at home interview. Baseline characteristics were compared between tertiles of distribution of UTP, for all the variables of interest; differences among tertiles were evaluated using analysis of variance for continuous variables and χ 2 test analyses for dichotomous or categorical variables; moreover, in the descriptive table, the p values adjusted for age, sex, and GFR were also reported using, respectively, linear and logistic regression models.

Differences in the bone health markers between groups, at baseline and at follow-up, were tested by mixed model analysis of covariance. The advantage of this statistical approach is improvement in the precision of the effect estimate by using all available information and, at the same time, allowing for the handling of missing data [ 25 ].

Model A reported the unconditional means model, which evaluated just the random effect for the intercept without any predictors; model B reported the unconditional growth model, which considers the effect of time; model C also includes an interaction term between time and UTP tertiles the classification variable ; model D was the fully adjusted model, considering all the potential confounders: age, sex, handgrip test, and SPPB score, smoking status, serum protein level, and variation across time of creatinine clearance.

To estimate a possible interference of regression to the mean RTM in our findings, in a sensitivity analysis, we performed ANCOVA models adjusted for baseline values of the bone parameters [ 26 ].

Since the results of these models were substantially consistent with those obtained using the simple regression approach, they are not reported in the results section. Body composition and laboratory parameters according to tertiles of UTP are shown in Table 1. P values for unadjusted and adjusted for age, sex, and GFR comparisons by UTP tertiles are shown, respectively, in columns A and B.

In the fully adjusted model, SPPB and handgrip were significantly higher according to higher tertiles of UTP.

In Table 2 , average baseline pQCT parameters, namely diaphyseal architecture, mass, and bone quality, are reported according to UTP tertiles.

On the contrary, the MedA was smaller in the highest tertile compared with the other two tertiles. Diaphyseal architectural characteristics, specifically the CTh and the CSMI, were significantly higher in the high tertile of UTP compared with the intermediate and lowest tertiles.

Finally, bone material characteristics, namely vBMDcortical and total vBMDtotal, were both significantly higher in the highest tertile of UTP compared with the two lower tertiles.

Among markers of bone health, only CBA, CMC, and CTh showed different rates of change over time according to tertiles of UTP. In the analysis for the BCA, CMC as for the CTh, since covariance δ 01 is statistically significant, it could be argued that there is a relationship between the starting level and the rate of change; in other words, the rate of change during time is greater in the higher UTP tertile.

Moreover, for the three markers, tertiles of UTP could explain: 7. Compared with lower tertile of UTP, the higher and the intermediate tertiles, at baseline, had a greater BCA, CMC, and CTh γ 01 I-H ; moreover, during the follow-up, those two tertiles of UTP lose a statistically significant higher BCA, CMC, and CTh γ 11 I-H.

The fit statistic AIC and BIC improved for more complex models in all the bone markers considered. In this study, we found that those individuals with higher baseline urinary levels of polyphenols had larger BCA, CMC, and CTh.

However, during the 6-year follow-up, participants in the highest and intermediate compared with lowest tertile of UTP showed accelerated deterioration of the same parameters.

Baseline urinary levels of polyphenols were also cross-sectionally associated with parameters of bone mass, diaphyseal design, and material quality, but baseline polyphenol levels not, with differential changes over time in the same parameters.

There is ample evidence that lifestyles and nutrition may affect bone quality [ 6 , 12 , 27 ]. In particular, it has been suggested that polyphenols, active compounds present in many fruits and vegetable may have beneficial effect in chronic disease prevention, and in particular osteoporosis [ 27 ].

Polyphenols may affect bone remodeling through the inhibition, differentiation, and activation of the apoptotic processes of osteoclasts [ 12 ]. On the other hand, there is also some evidence that they promote the expansion of the osteoblast line through the activation of bone morphogenic protein BMP [ 15 ].

Lastly, polyphenols are anti-inflammatory, although the specific mechanism that mediate this activity is not completely understood [ 13 ]. Through these mechanisms, dietary intake of polyphenols may improve BMD and reduce its rate of decline with aging, therefore reducing the risk of fractures.

Indeed, supplementation of foods enriched with polyphenols prevents the reduction in cortical thickness and the medullary area in mice [ 28 , 29 ].

Also, the microscopic structure could be influenced in a dose-dependent manner by supplementation with foods enriched in polyphenols, in detail the porosity of the cortex could be influenced with larger fibers and smaller interfibrillar spaces [ 30 ].

Our findings are both supportive and in contrast with this literature. UTP is a likely a biomarker of the exposure intake of polyphenol in the short terms and its positive association with markers of bone health volumetric bone density, geometric properties, and diaphyseal design independent of potential confounders is in keeping with the literature.

However, the results of the longitudinal analysis are surprisingly pointing to a different direction. We found that high values of UTP were associated with accelerated bone remodeling, a process that can lead to osteoporosis.

It is difficult to speculate on the meaning of these unexpected findings. A possibility is that polyphenols form robust, even if reversible complexes with ions and in particular with iron and calcium [ 31 ].

Initially, those complexes could facilitate the growth of hydroxyapatite crystals, but later polyphenols bind calcium and facilitate its urinary excretion, therefore reducing its availability for bone building [ 32 ].

This hypothesis is consistent with the observation that higher consumption of polyphenols is associated with lower prevalence of kidney stones, and among the many hypotheses, a mechanism of action considered is the high affinity of polyphenols for the urinary ions [ 33 , 34 ].

An alternative hypothesis is that the decline of GFR with aging could interfere with bone directly and could facilitate the urinary formation of complex polyphenol-calcium, reducing the bioavailability of serum calcium [ 19 , 20 ].

Regardless of possible mechanistic interpretations of our findings, they suggest cautions in recommending high intake of polyphenols as a prevention strategy for osteoporosis and suggest that further studies in this research area are needed, possibly including longitudinal data and objective measures of polyphenols intake collected over time.

Previous studies have found that for most polyphenols, the urinary excretion values are proportional to circulating levels but we cannot exclude that the age associated decline of GFR of the presence of other interfering molecules introduce random or a systematic error in the urine assay.

On the other hand, it is likely that urinary excretion is a better measure of exposure than estimated dietary intake, both because the reliability of dietary questionnaire tends to be modest and because food matrix or background diet may affect absorption and bioavailability of polyphenols.

Urine sampling is particularly useful for polyphenols with short half-lives, where plasma measurements may fail to monitor even acute intake [ 33 , 34 ]. Indeed, as reviewed elsewhere, and even more, specifically for this measurement, as validated by other researchers of the INCHIANTI group, urinary assessment of polyphenols is a reliable and valid method [ 19 , 20 ].

Another limitation of our study is that bone measures were performed on the tibia. It has been shown that geometric and quality properties of the cortical and trabecular bone display only moderate correlations among the different sites of the skeleton [ 35 ]. Altogether, these data suggest that density measurements of one anatomical region are not necessarily accurate measures of other regions [ 36 ].

Therefore, our data may not be fully representative of bone events that occur in the femur and vertebral bodies, which are the typical sites for the assessment of osteoporosis, and the most frequently involved in osteoporosis-related adverse events. Furthermore, UTP were evaluated only at baseline, so we do not know how the urinary concentrations changed during the study in our population, and how this may have influenced the results.

Different polyphenols may have different effects, and the total may result from various admixtures in the subjects, accounting for the dual effect observed.

Lastly, one of the most important concerns when analyzing repeated measures is RTM: mixed models estimates can also be influenced by RTM. However, also taking into account this possible statistical artifact, the analysis did not change the overall meaning of the results.

We found that higher urinary concentrations of polyphenols were associated with positive cross-sectional effects on biomarkers of bone health, but were associated with a subsequent accelerated worsening of the same biomarkers.

These contradictory results should be further evaluated in longitudinal studies including multiple measures of polyphenol exposure and bone health. In the light of our findings, the use of dietary polyphenols for osteoporosis prevention should be considered with caution. The InCHIANTI dataset is not deposit in a data repository, but data could be available on request.

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The aim of this study was to Polypheonls Polyphenols and bone health Gut health and irritable bowel syndrome (IBS) of levels Superfood supplement for stress relief Polyphenols and bone health total polyphenols considered hone a proxy boe of polyphenol intake, with longitudinal changes of andd properties, in Yealth InCHIANTI study. Dietary intake of polyphenols appears to be Polypheonls with healtj accelerated deterioration Polyphenkls bone health. Polyphenols, micronutrients ingested through plant-based foods, have antioxidant and anti-inflammatory properties and may contribute to osteoporosis prevention. We evaluated associations of high levels of urinary total polyphenols UTPa proxy measure of polyphenol intake, with longitudinal changes of bone properties in a representative cohort of free-living participants of the InCHIANTI study. The InCHIANTI study enrolled representative samples from the registry list of two towns in Tuscany, Italy. Baseline data were collected in and follow-up visits in and Of the participants enrolled, consented to donate a h urine sample used to assess UTP, had dietary assessment, a physical examination, and underwent a quantitative computerized tomography pQCT of the tibia.

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3 Insane Health Benefits of Polyphenols: Your Ultimate Gut Microbiome Boosters - Dr. Steven Gundry Editor-in-Chief: Alessandro Antonelli Department Polypenols Clinical and Experimental Medicine Laboratory of Polyphenols and bone health Human Cells University of Sugar consumption and the elderly Pisa Italy. Polyphenols and bone health Print Polyphenols and bone health ISSN Online : DOI: Background: Osteoporosis is a Polyphenls disease affecting the hewlth mineral density and thus compromise the strength of the bones. Disease prevention through diet is the objective of the study and discussion. Among the several nutrients investigated, the intake of phenols seems to influence bone mineral density by acting as free radical scavengers, preventing oxidation-induced damage to bone cells. In addition, the growing understanding of the bone remodelling process supports the theory that inflammation significantly contributes to the etiopathogenesis of osteoporosis.