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Effects of Beetroot-Based Supplements on Muscular Endurance and Strength in Healthy Male Individuals: A Systematic Review and Meta-Analysis.
Evangelista, JF, Meirelles, CM, Aguiar, GS, Alves, R, Matsuura, C
Journal of the American Nutrition Association. 2024;(1):77-91
Abstract
The aim of this study was to systematically review the current literature and analyze the effects of beetroot-based supplements (BRS) on muscular performance. Randomized controlled trials that assessed the acute or short-term effects of BRS administration on muscular endurance and/or strength in healthy male individuals were retrieved from PubMed, EMBASE, CENTRAL, and Web of Science databases from inception to February 20th, 2023. In addition, we also searched preprint papers in medRxiv.org, bibRxiv.org; thesis and dissertations included in oatd.org; and clinical trials published in ClinicalTrials.gov. Data extraction, risk of bias, and study quality were assessed by 2 authors. Meta-analyses and subgroup analyses of standardized mean differences (SMD) were performed using a random-effects model. A total of 1486 records were identified in the databases and 2 were obtained by manual search in the reference list. Of those, 27 studies attended eligibility criteria and composed this systematic review. BRS administration resulted in a positive effect on muscular endurance (SMD: 0.31; 95% confidence interval (CI): 0.10 to 0.51; p < 0.01; n = 16 studies). There was an overall significative effect for muscular strength (SMD: 0.26; 95% CI: 0.03 to 0.48; p < 0.05; n = 18 studies), but a subgroup analysis showed that significant effects were found when strength was measured in a fatigued (SMD: 0.64; 95% CI: 0.25 to 1.03; p < 0.01), but not resting state. BRS administration have a small ergogenic effect on muscular endurance and attenuate the decline in muscular strength in a fatigued state in healthy male individuals.
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Evidence of a causal and modifiable relationship between kidney function and circulating trimethylamine N-oxide.
Andrikopoulos, P, Aron-Wisnewsky, J, Chakaroun, R, Myridakis, A, Forslund, SK, Nielsen, T, Adriouch, S, Holmes, B, Chilloux, J, Vieira-Silva, S, et al
Nature communications. 2023;(1):5843
Abstract
The host-microbiota co-metabolite trimethylamine N-oxide (TMAO) is linked to increased cardiovascular risk but how its circulating levels are regulated remains unclear. We applied "explainable" machine learning, univariate, multivariate and mediation analyses of fasting plasma TMAO concentration and a multitude of phenotypes in 1,741 adult Europeans of the MetaCardis study. Here we show that next to age, kidney function is the primary variable predicting circulating TMAO, with microbiota composition and diet playing minor, albeit significant, roles. Mediation analysis suggests a causal relationship between TMAO and kidney function that we corroborate in preclinical models where TMAO exposure increases kidney scarring. Consistent with our findings, patients receiving glucose-lowering drugs with reno-protective properties have significantly lower circulating TMAO when compared to propensity-score matched control individuals. Our analyses uncover a bidirectional relationship between kidney function and TMAO that can potentially be modified by reno-protective anti-diabetic drugs and suggest a clinically actionable intervention for decreasing TMAO-associated excess cardiovascular risk.
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Microbiome and metabolome features of the cardiometabolic disease spectrum.
Fromentin, S, Forslund, SK, Chechi, K, Aron-Wisnewsky, J, Chakaroun, R, Nielsen, T, Tremaroli, V, Ji, B, Prifti, E, Myridakis, A, et al
Nature medicine. 2022;(2):303-314
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Abstract
Previous microbiome and metabolome analyses exploring non-communicable diseases have paid scant attention to major confounders of study outcomes, such as common, pre-morbid and co-morbid conditions, or polypharmacy. Here, in the context of ischemic heart disease (IHD), we used a study design that recapitulates disease initiation, escalation and response to treatment over time, mirroring a longitudinal study that would otherwise be difficult to perform given the protracted nature of IHD pathogenesis. We recruited 1,241 middle-aged Europeans, including healthy individuals, individuals with dysmetabolic morbidities (obesity and type 2 diabetes) but lacking overt IHD diagnosis and individuals with IHD at three distinct clinical stages-acute coronary syndrome, chronic IHD and IHD with heart failure-and characterized their phenome, gut metagenome and serum and urine metabolome. We found that about 75% of microbiome and metabolome features that distinguish individuals with IHD from healthy individuals after adjustment for effects of medication and lifestyle are present in individuals exhibiting dysmetabolism, suggesting that major alterations of the gut microbiome and metabolome might begin long before clinical onset of IHD. We further categorized microbiome and metabolome signatures related to prodromal dysmetabolism, specific to IHD in general or to each of its three subtypes or related to escalation or de-escalation of IHD. Discriminant analysis based on specific IHD microbiome and metabolome features could better differentiate individuals with IHD from healthy individuals or metabolically matched individuals as compared to the conventional risk markers, pointing to a pathophysiological relevance of these features.
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Endocytosis of nutrient transporters in fungi: The ART of connecting signaling and trafficking.
Barata-Antunes, C, Alves, R, Talaia, G, Casal, M, Gerós, H, Mans, R, Paiva, S
Computational and structural biotechnology journal. 2021;:1713-1737
Abstract
Plasma membrane transporters play pivotal roles in the import of nutrients, including sugars, amino acids, nucleobases, carboxylic acids, and metal ions, that surround fungal cells. The selective removal of these transporters by endocytosis is one of the most important regulatory mechanisms that ensures a rapid adaptation of cells to the changing environment (e.g., nutrient fluctuations or different stresses). At the heart of this mechanism lies a network of proteins that includes the arrestin-related trafficking adaptors (ARTs) which link the ubiquitin ligase Rsp5 to nutrient transporters and endocytic factors. Transporter conformational changes, as well as dynamic interactions between its cytosolic termini/loops and with lipids of the plasma membrane, are also critical during the endocytic process. Here, we review the current knowledge and recent findings on the molecular mechanisms involved in nutrient transporter endocytosis, both in the budding yeast Saccharomyces cerevisiae and in some species of the filamentous fungus Aspergillus. We elaborate on the physiological importance of tightly regulated endocytosis for cellular fitness under dynamic conditions found in nature and highlight how further understanding and engineering of this process is essential to maximize titer, rate and yield (TRY)-values of engineered cell factories in industrial biotechnological processes.
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The effect of the a regional cardioprotective nutritional program on inflammatory biomarkers and metabolic risk factors in secondary prevention for cardiovascular disease, a randomised trial.
Bersch-Ferreira, AC, Hall, WL, Santos, RHN, Torreglosa, CR, Sampaio, G, Tereza da Silva, J, Alves, R, Ross, MB, Gehringer, MO, Kovacs, C, et al
Clinical nutrition (Edinburgh, Scotland). 2021;(6):3828-3835
Abstract
BACKGROUND & AIMS To evaluate the effect of the Brazilian Cardioprotective Diet Program (BALANCE Program) on inflammatory biomarkers, involved in the pathophysiology of the atherosclerosis, on inflammatory biomarkers, cardiovascular risk factors, and on plasma fatty acids in cardiovascular disease secondary prevention patients. METHODS In this substudy of the BALANCE Program randomized clinical trial, a total of 369 patients aged 45 years or older, who have experienced cardiovascular disease in the previous 10 years, were included. These patients were randomized into two groups and followed up for six months: BALANCE Program group and control group (conventional nutrition advice). In the initial and six-month final visits, anthropometry (body weight, height and waist circumference), food intake evaluation by 24-h dietary recall, plasma inflammatory biomarkers (IL-6, IL-8, IL-10, IL-12, tumor necrosis factor-α, adiponectin, and C-reactive protein levels), blood pressure, glycemia, insulinemia, lipid profile, and plasma fatty acids levels were evaluated. RESULTS The BALANCE Program group showed increased plasma alpha-linolenic acid levels (P = 0.008), reduction in waist circumference (P = 0.049) and BMI (P = 0.032). No difference was observed among plasma inflammatory biomarkers and clinical data. CONCLUSION After six months of follow-up, BALANCE Program led to a significant reduction on BMI and waist circumference in individuals in secondary prevention for cardiovascular disease. Although plasmatic alpha-linolenic acid has increased, there was no impact on plasma inflammatory biomarkers. CLINICAL TRIAL REGISTRATION NCT01620398.
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Human Milk Oligosaccharide Profile Variation Throughout Postpartum in Healthy Women in a Brazilian Cohort.
Ferreira, AL, Alves, R, Figueiredo, A, Alves-Santos, N, Freitas-Costa, N, Batalha, M, Yonemitsu, C, Manivong, N, Furst, A, Bode, L, et al
Nutrients. 2020;(3)
Abstract
Human milk oligosaccharide (HMO) composition varies throughout lactation and can be influenced by maternal characteristics. This study describes HMO variation up to three months postpartum and explores the influences of maternal sociodemographic and anthropometric characteristics in a Brazilian prospective cohort. We followed 101 subjects from 28-35 gestational weeks (baseline) and throughout lactation at 2-8 (visit 1), 28-50 (visit 2) and 88-119 days postpartum (visit 3). Milk samples were collected at visits 1, 2 and 3, and 19 HMOs were quantified usinghigh-performance liquid chromatography with fluorescence detection (HPLC-FL). Friedman post-hoc test, Spearman rank correlation for maternal characteristics and HMOs and non-negative matrix factorization (NMF) were used to define the HMO profile. Most women were secretors (89.1%) and presented high proportion of 2'-fucosyllactose (2ꞌFL) at all three sample times, while lacto-N-tetraose (LNT, 2-8 days) and lacto-N-fucopentaose II (LNFPII, 28-50 and 88-119 days) were the most abundant HMOs in non-secretor women. Over the course of lactation, total HMO weight concentrations (g/L) decreased, but total HMO molar concentrations (mmol/L) increased, highlighting differential changes in HMO composition over time. In addition, maternal pre-pregnancy body mass index (BMI) and parity influence the HMO composition in healthy women in this Brazilian cohort.
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Carboxylic Acid Transporters in Candida Pathogenesis.
Alves, R, Sousa-Silva, M, Vieira, D, Soares, P, Chebaro, Y, Lorenz, MC, Casal, M, Soares-Silva, I, Paiva, S
mBio. 2020;(3)
Abstract
Opportunistic pathogens such as Candida species can use carboxylic acids, like acetate and lactate, to survive and successfully thrive in different environmental niches. These nonfermentable substrates are frequently the major carbon sources present in certain human body sites, and their efficient uptake by regulated plasma membrane transporters plays a critical role in such nutrient-limited conditions. Here, we cover the physiology and regulation of these proteins and their potential role in Candida virulence. This review also presents an evolutionary analysis of orthologues of the Saccharomyces cerevisiae Jen1 lactate and Ady2 acetate transporters, including a phylogenetic analysis of 101 putative carboxylate transporters in twelve medically relevant Candida species. These proteins are assigned to distinct clades according to their amino acid sequence homology and represent the major carboxylic acid uptake systems in yeast. While Jen transporters belong to the sialate:H+ symporter (SHS) family, the Ady2 homologue members are assigned to the acetate uptake transporter (AceTr) family. Here, we reclassify the later members as ATO (acetate transporter ortholog). The new nomenclature will facilitate the study of these transporters, as well as the analysis of their relevance for Candida pathogenesis.
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Adapting to survive: How Candida overcomes host-imposed constraints during human colonization.
Alves, R, Barata-Antunes, C, Casal, M, Brown, AJP, Van Dijck, P, Paiva, S
PLoS pathogens. 2020;(5):e1008478
Abstract
Successful human colonizers such as Candida pathogens have evolved distinct strategies to survive and proliferate within the human host. These include sophisticated mechanisms to evade immune surveillance and adapt to constantly changing host microenvironments where nutrient limitation, pH fluctuations, oxygen deprivation, changes in temperature, or exposure to oxidative, nitrosative, and cationic stresses may occur. Here, we review the current knowledge and recent findings highlighting the remarkable ability of medically important Candida species to overcome a broad range of host-imposed constraints and how this directly affects their physiology and pathogenicity. We also consider the impact of these adaptation mechanisms on immune recognition, biofilm formation, and antifungal drug resistance, as these pathogens often exploit specific host constraints to establish a successful infection. Recent studies of adaptive responses to physiological niches have improved our understanding of the mechanisms established by fungal pathogens to evade the immune system and colonize the host, which may facilitate the design of innovative diagnostic tests and therapeutic approaches for Candida infections.
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Association between plasma fatty acids and inflammatory markers in patients with and without insulin resistance and in secondary prevention of cardiovascular disease, a cross-sectional study.
Bersch-Ferreira, ÂC, Sampaio, GR, Gehringer, MO, Torres, EAFDS, Ross-Fernandes, MB, da Silva, JT, Torreglosa, CR, Kovacs, C, Alves, R, Magnoni, CD, et al
Nutrition journal. 2018;17(1):26
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Plain language summary
It is known that people with cardiovascular disease (CVD) have increased inflammation and raised levels of circulating inflammatory molecules. The presence of insulin resistance is thought to increase these levels, as are certain fatty acids coming from dietary fats. The aims of this cross-sectional study were to compare the levels of inflammatory biomarkers in patients with CVD with and without insulin resistance, and to evaluate the possible link between the blood levels of fatty acids and inflammatory biomarkers among these patients. The authors concluded that the CVD patients with insulin resistance had a higher concentration of some inflammatory molecules in the blood than those without insulin resistance. They also observed that saturated fatty acids were linked to higher levels of inflammatory molecules in the blood, while unsaturated fatty acids correlated with lower levels.
Abstract
BACKGROUND Proinflammatory biomarkers levels are increased among patients with cardiovascular disease, and it is known that both the presence of insulin resistance and diet may influence those levels. However, these associations are not well studied among patients with established cardiovascular disease. Our objective is to compare inflammatory biomarker levels among cardiovascular disease secondary prevention patients with and without insulin resistance, and to evaluate if there is any association between plasma fatty acid levels and inflammatory biomarker levels among them. METHODS In this cross-sectional sub-study from the BALANCE Program Trial, we collected data from 359 patients with established cardiovascular disease. Plasma fatty acids and inflammatory biomarkers (interleukin (IL)-1β, IL-6, IL-8, IL-10, IL-12, high sensitive C-reactive protein (hs-CRP), adiponectin, and tumor necrosis factor (TNF)-alpha) were measured. Biomarkers and plasma fatty acid levels of subjects across insulin resistant and not insulin resistant groups were compared, and general linear models were used to examine the association between plasma fatty acids and inflammatory biomarkers. RESULTS Subjects with insulin resistance had a higher concentration of hs-CRP (p = 0.002) and IL-6 (p = 0.002) than subjects without insulin resistance. Among subjects without insulin resistance there was a positive association between stearic fatty acid and IL-6 (p = 0.032), and a negative association between alpha-linolenic fatty acid and pro-inflammatory biomarkers (p < 0.05). Among those with insulin resistance there was a positive association between monounsaturated fatty acids and arachidonic fatty acid and adiponectin (p < 0.05), and a negative association between monounsaturated and polyunsaturated fatty acids and pro-inflammatory biomarkers (p < 0.05), as well as a negative association between polyunsaturated fatty acids and adiponectin (p < 0.05). Our study has not found any association between hs-CRP and plasma fatty acids. CONCLUSIONS Subjects in secondary prevention for cardiovascular disease with insulin resistance have a higher concentration of hs-CRP and IL-6 than individuals without insulin resistance, and these inflammatory biomarkers are positively associated with saturated fatty acids and negatively associated with unsaturated fatty acids.
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Identification of line-specific strategies for improving carotenoid production in synthetic maize through data-driven mathematical modeling.
Comas, J, Benfeitas, R, Vilaprinyo, E, Sorribas, A, Solsona, F, Farré, G, Berman, J, Zorrilla, U, Capell, T, Sandmann, G, et al
The Plant journal : for cell and molecular biology. 2016;(5):455-71
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Abstract
Plant synthetic biology is still in its infancy. However, synthetic biology approaches have been used to manipulate and improve the nutritional and health value of staple food crops such as rice, potato and maize. With current technologies, production yields of the synthetic nutrients are a result of trial and error, and systematic rational strategies to optimize those yields are still lacking. Here, we present a workflow that combines gene expression and quantitative metabolomics with mathematical modeling to identify strategies for increasing production yields of nutritionally important carotenoids in the seed endosperm synthesized through alternative biosynthetic pathways in synthetic lines of white maize, which is normally devoid of carotenoids. Quantitative metabolomics and gene expression data are used to create and fit parameters of mathematical models that are specific to four independent maize lines. Sensitivity analysis and simulation of each model is used to predict which gene activities should be further engineered in order to increase production yields for carotenoid accumulation in each line. Some of these predictions (e.g. increasing Zmlycb/Gllycb will increase accumulated β-carotenes) are valid across the four maize lines and consistent with experimental observations in other systems. Other predictions are line specific. The workflow is adaptable to any other biological system for which appropriate quantitative information is available. Furthermore, we validate some of the predictions using experimental data from additional synthetic maize lines for which no models were developed.