Urinary Biomarkers for Orange Juice Consumption

Investigation of Potential Food Intake Biomarkers by LC-MS/MS: Suitability Under Conditions Close to Everyday Live

SCOPE

Food intake biomarkers are proposed to be a more reliable tool for investigating the nutritional status compared to food diaries or food frequency questionnaires. Nevertheless, biomarkers have some disadvantages such as the influence of the individual lifestyle, different metabolism, nutrient-nutrient interaction or the specificity of the used biomarkers. To evaluate the suitability of several biomarkers, a study under conditions close to everyday life was conducted.

METHODS AND RESULTS

Ten healthy volunteers were divided into three groups who followed different meal plans for 24 h and collected their entire urine. Afterward, several potential biomarkers were quantified using an LC-MS/MS approach. To further investigate the suitability of those biomarkers, the results were investigated with the main goal of grouping the participants according to their provided diet, while the first author did not have any knowledge of the meal plans or other specific knowledge about the study design.

CONCLUSION

The use of different biomarkers enables the evaluation of different eating habits without any prior wash out period or bigger than usual portion sizes. Especially long-term biomarkers seem to have a good suitability. Very high intakes and very low intakes are easier to distinguish than a moderate intake. Food intake biomarkers are proposed as a more reliable tool than food diaries or food frequency questionnaires. Nevertheless, data under realistic conditions are rarely available. In this study, ten volunteers were divided into three groups with different meal plans. An LC-MS/MS approach was performed and the data were further investigated with the main goal of grouping the participants according their provided diet, while the first author did not have any knowledge about the meal plans.

The Future of Obesity Management through Precision Nutrition: Putting the Individual at the Center

PURPOSE OF REVIEW: The prevalence of obesity continues to rise steadily. While obesity management typically relies on dietary and lifestyle modifications, individual responses to these interventions vary widely. Clinical guidelines for overweight and obesity stress the importance of personalized approaches to care. This review aims to underscore the role of precision nutrition in delivering tailored interventions for obesity management. RECENT FINDINGS: Recent technological strides have expanded our ability to detect obesity-related genetic polymorphisms, with machine learning algorithms proving pivotal in analyzing intricate genomic data. Machine learning algorithms can also predict postprandial glucose, triglyceride, and insulin levels, facilitating customized dietary interventions and ultimately leading to successful weight loss. Additionally, given that adherence to dietary recommendations is one of the key predictors of weight loss success, employing more objective methods for dietary assessment and monitoring can enhance sustained long-term compliance. Biomarkers of food intake hold promise for a more objective dietary assessment. Acknowledging the multifaceted nature of obesity, precision nutrition stands poised to transform obesity management by tailoring dietary interventions to individuals' genetic backgrounds, gut microbiota, metabolic profiles, and behavioral patterns. However, there is insufficient evidence demonstrating the superiority of precision nutrition over traditional dietary recommendations. The integration of precision nutrition into routine clinical practice requires further validation through randomized controlled trials and the accumulation of a larger body of evidence to strengthen its foundation.

Stachydrine, a pyrrole alkaloid with promising therapeutic potential against metabolic syndrome and associated organ dysfunction

Metabolic syndrome is a multifaceted condition marked by interconnected risk factors, significantly increasing the risk of serious diseases like cardiovascular disease, type 2 diabetes, and stroke. Effective management often demands new medications due to complexity of the conditions and limitations of current treatments. Natural compounds are increasingly recognized in drug discovery due to their vast chemical diversity, commercial availability, low cost, and minimal side effects. One such compound is stachydrine (STA), also known as proline betaine or N-dimethyl proline. This simple pyrrole alkaloid is a major constituent of the genus Leonurus and the family Lamiaceae, and it shows promise due to its potential therapeutic properties. A comprehensive review of the literature, sourced from databases such as PubMed, Scopus, SciFinder, and Google Scholar, has provided extensive information on the sources, chemistry, biosynthesis, derivatives, molecular targets, biological activities, bioavailability, and toxicity of STA. This review highlights numerous in vitro and in vivo studies that demonstrate the effectiveness of STA in various therapeutic areas, including anti-obesity, neuroprotective, nephroprotective, and cardiovascular protection, among others. The wide range of biological activities of STA is attributed to its influence on multiple molecular targets and signaling pathways, such as ACE/AngII/AT1R-TGFβ1, NF-κB, JAK/STAT, AKT/ERK, AMPK/CAMKKβ/LKB1, CaMKII/PLN, etc. which are critical in the development and progression of metabolic syndrome. Additionally, this review addresses limitations related to the pharmacokinetics and bioavailability of STA. Overall, the findings underscore the potential of STA as a therapeutic agent for metabolic syndrome and related disorders, suggesting that further clinical investigation is warranted to fully understand and utilize its benefits.

Polyphenol exposure of mothers and infants assessed by LC-MS/MS based biomonitoring in breast milk

Exposure to polyphenols is relevant throughout critical windows of infant development, including the breastfeeding phase. However, the quantitative assessment of polyphenols in human breast milk has received limited attention so far, though polyphenols may positively influence infant health. Therefore, a targeted LC-MS/MS assay was developed to investigate 86 analytes representing different polyphenol classes in human breast milk. The sample preparation consisted of liquid extraction, salting out, freeze-out, and a dilution step. Overall, nearly 70% of the chemically diverse polyphenols fulfilled all strict validation criteria for full quantitative assessment. The remaining analytes did not fulfill all criteria at every concentration level, but can still provide useful semi-quantitative insights into nutritional and biomedical research questions. The limits of detection for all analyzed polyphenols were in the range of 0.0041-87 ng*mL-1, with a median of 0.17 ng*mL-1. Moreover, the mean recovery was determined to be 82% and the mean signal suppression and enhancement effect was 117%. The developed assay was applied in a proof-of-principle study to investigate polyphenols in breast milk samples provided by twelve Nigerian mothers at three distinct time points post-delivery. In total, 50 polyphenol analytes were detected with almost half being phenolic acids. Phase II metabolites, including genistein-7-β-D-glucuronide, genistein-7-sulfate, and daidzein-7-β-D-glucuronide, were also detected in several samples. In conclusion, the developed method was demonstrated to be fit-for-purpose to simultaneously (semi-) quantify a wide variety of polyphenols in breast milk. It also demonstrated that various polyphenols including their biotransformation products were present in breast milk and therefore likely transferred to infants where they might impact microbiome development and infant health.

Assessing Repeated Urinary Proline Betaine Measures as a Biomarker of Usual Citrus Intake during Pregnancy: Sources of Within-Person Variation and Correlation with Reported Intake

Proline betaine (Pro-B) has been identified as a biomarker of dietary citrus intake, yet gaps remain in its validation as a quantitative predictor of intake during various physiological states. This study quantified sources of within-individual variation (WIV) in urinary Pro-B concentration during pregnancy and assessed its correlation with the reported usual intake of citrus fruit and juice. Pro-B concentrations were determined by 1H-NMR spectroscopy in spot and 24-h urine specimens (n = 255) collected throughout pregnancy from women participating in the MARBLES cohort study. Adjusted linear or log mixed effects models quantified WIV and tested potential temporal predictors of continuous or elevated Pro-B concentration. Pearson or Spearman correlations assessed the relationship between averaged repeated biomarker measures and usual citrus intake reported by food frequency questionnaires. The proportion of variance in urinary Pro-B attributable to WIV ranged from 0.69 to 0.74 in unadjusted and adjusted models. Citrus season was a significant predictor of Pro-B in most analyses (e.g., adjusted β [95% CI]: 0.52 [0.16, 0.88] for non-normalized Pro-B), while gestational age predicted only non-normalized Pro-B (adjusted β [95% CI]: -0.093 [-0.18, -0.0038]). Moderate correlations (rs of 0.40 to 0.42) were found between reported usual citrus intake and averaged repeated biomarker measurements, which were stronger compared to using a single measurement. Given the high degree of WIV observed in urinary Pro-B, multiple samples per participant are likely needed to assess associations between citrus consumption and health outcomes.

Monitoring of Biogenic Amines in Human Urine Using Dispersive Liquid–Liquid Microextraction and Liquid Chromatography with High-Resolution Mass Spectrometry

The biogenic amines (BAs) synephrine (SNP), phenylephrine (PEP), tyramine (TYR), and octopamine (OCT) may be present in products widely consumed for weight loss, muscle power, and in energy supplements. Considering the toxicity of these BAs at high levels and their biomarker role in some human pathologies, their monitoring in urine can be of great help in the detection of abusive consumption or disease. In this work, a combination of dispersive liquid–liquid microextraction (DLLME) with ultra-high performance liquid chromatography and quadrupole time-of-flight mass spectrometry (UHPLC-Q-TOF-MS) for the simultaneous determination of four aromatic BAs in human urine is presented. The sample treatment included a previous derivatization step with dansyl chloride to achieve the highest extraction efficiency in the DLLME procedure for which a mixture of 350 μL of chloroform and 2 mL of ethanol was added to 5 mL of derivatized urine. Limits of detection were in the 0.54–3.6 µg L−1 range. Method precision and trueness were estimated at two concentration levels and were in the 3.4–10.2% and 93.6–114% ranges, respectively. The analysis of nine urine samples showed concentration levels for TYR between 52 and 304 µg L−1. Non-targeted analysis of the samples was undertaken to control the presence of other BAs and related metabolites, and none of these species was detected.

Bioactives in the Food Supply: Effects on CVD Health

PURPOSE OF REVIEW

Interest in preventing atherosclerosis and cardiovascular disease extends beyond essential nutrients and dietary patterns. This article reviews the potential for bioactive compounds to play a role in prevention and the recent process in guidance for developing policy for bioactives.

RECENT FINDINGS

A framework for developing recommended intakes of bioactives dietary substances was recently developed and the first guideline expected is for a bioactive targeted for cardiometabolic health. Bioactives target endothelial health, the gut microbiome, serum lipids, blood pressure, inflammation, and oxidative stress. The evidence base is growing and will be enhanced further with the discovery of good biomarkers of exposure and health outcomes. A robust evidence base is essential to develop policy and influence clinical practice for bioactives, an exciting and growing area of research.