ABSTRACT
BACKGROUND: Patients with chronic kidney disease (CKD) are encouraged to choose refined grains instead of whole grains as part of the low-phosphorus diet for managing chronic kidney disease-mineral and bone disorders (CKD-MBD). However, there is no direct evidence indicating that limiting whole grains has a beneficial impact on CKD outcomes. METHODS: This study analyzed Chronic Renal Insufficiency Cohort data in two ways, namely cross-sectional examination of CKD-MBD biomarkers and prospective examination of health outcomes. A total of 4,067 (cross-sectional) and 4,331 (prospective) participants were included. The primary exposure was reported intake of whole grains (analyzed as servings/day, servings/1,000kcal, and refined grain servings/whole grain servings). CKD-MBD biomarkers included serum phosphorus, fibroblast growth factor-23, parathyroid hormone, calcitriol, and calcium. Outcomes included cardiovascular events, kidney failure, and all-cause mortality. RESULTS: In adjusted models, reported intake of whole grains was associated with higher phosphorus intake and serum phosphorus when assessed crudely (serving/day), but not when analyzed in relation to energy. Higher intake of refined grain relative to whole grains was associated (all models) with higher risk of kidney failure (Model 4: 1.01, 95% CI 1.00 to 1.02; P=0.01, all-cause mortality (Model 4: 1.01, 95% CI 1.00 to 1.01; P=0.01), and cardiovasulcar disease except for the fully adjusted model. Higher dietary density was associated with lower mortality in models adjusted for demographic and clinical factors including kidney function, but not in the fully adjusted model that futher adjusted for dietary factors. CONCLUSION: Intake of whole grains was not associated with CKD-MBD biomarkers. Intake of whole grains in relation to refined grains was associated with lower risk of cardiovascular disease, kidney failure, and mortality. The results of this study put into question the long-standing practice of restricting whole grains in patients with chronic kidney disease.
ABSTRACT
BACKGROUND: The Diabetes Telemedicine Mediterranean Diet (DiaTeleMed) Study is a fully remote randomized clinical trial evaluating personalized dietary management in individuals with type 2 diabetes (T2D). The study aims to test the efficacy of a personalized behavioral approach for dietary management of moderately controlled T2D, versus a standardized behavioral intervention that uses one-size-fits-all dietary recommendations, versus a usual care control (UCC). The primary outcome will compare the impact of each intervention on the mean amplitude of glycemic excursions (MAGE). METHODS: Eligible participants are between 21 and 80 years of age diagnosed with moderately controlled T2D (HbA1c: 6.0 to 8.0%) and managed on lifestyle alone or lifestyle plus metformin. Participants must be willing and able to attend virtual counseling sessions and log meals into a dietary tracking smartphone application (DayTwo), and wear a continuous glucose monitor (CGM) for up to 12 days. Participants are randomized with equal allocation (n = 255, n = 85 per arm) to one of three arms: (1) Personalized, (2) Standardized, or (3) UCC. Measurements occur at 0 (baseline), 3, and 6 months. All participants receive isocaloric energy and macronutrient targets to meet Mediterranean diet guidelines, in addition to 14 intervention contacts over 6 months (4 weekly then 10 biweekly) to cover diabetes self-management education. The first 4 UCC intervention contacts are delivered via synchronous videoconferences followed by educational video links. Participants in Standardized receive the same educational content as those in the UCC arm, following the same schedule. However, all intervention contacts are conducted via synchronous videoconferences, paired with Social Cognitive Theory (SCT)-based behavioral counseling, plus dietary self-monitoring of planned meals using a mobile app that provides real-time feedback on calories and macronutrients. Participants in the Personalized arm receive all elements of the Standardized intervention, in addition to real-time feedback on predicted post-prandial glycemic response (PPGR) to meals and snacks logged into the mobile app. DISCUSSION: The DiaTeleMed Study aims to address an important gap in the current landscape of precision nutrition by determining the contributions of behavioral counseling and personalized nutrition recommendations on glycemic control in individuals with T2D. The fully remote methodology of the study allows for scalability and innovative delivery of personalized dietary recommendations at a population level. TRIAL REGISTRATION: ClinicalTrials.gov NCT05046886. Registered on September 16, 2021.
Subject(s)
Blood Glucose , Diabetes Mellitus, Type 2 , Diet, Mediterranean , Telemedicine , Humans , Diabetes Mellitus, Type 2/diet therapy , Diabetes Mellitus, Type 2/blood , Diabetes Mellitus, Type 2/therapy , Middle Aged , Aged , Adult , Female , Male , Blood Glucose/metabolism , Randomized Controlled Trials as Topic , Aged, 80 and over , Young Adult , Blood Glucose Self-Monitoring , Treatment Outcome , Glycated Hemoglobin/metabolism , Time Factors , Biomarkers/blood , Mobile Applications , Precision Medicine/methods , Diet, Healthy , Counseling/methods , Hypoglycemic Agents/therapeutic use , Hypoglycemic Agents/administration & dosageABSTRACT
Background: The Diabetes Telemedicine Mediterranean Diet (DiaTeleMed) Study is a fully remote randomized clinical trial evaluating personalized dietary management in individuals with type 2 diabetes (T2D). The study aims to test the efficacy of a personalized behavioral approach for dietary management of moderately-controlled T2D, versus a standardized behavioral intervention that uses one-size-fits-all dietary recommendations, versus a usual care control (UCC). The primary outcome will compare the impact of each intervention on the mean amplitude of glycemic excursions (MAGE). Methods: Eligible participants are between 21 to 80 years of age diagnosed with moderately-controlled T2D (HbA1c: 6.0-8.0%), and managed on lifestyle alone or lifestyle plus metformin. Participants must be willing and able to attend virtual counseling sessions and log meals into a dietary tracking smartphone application (DayTwo), and wear a continuous glucose monitor (CGM) for up to 12 days. Participants are randomized with equal allocation (n = 255, n = 85 per arm) to one of three arms: 1) Personalized, 2) Standardized, or 3) UCC. Measurements occur at 0 (baseline), 3, and 6 months. All participants receive isocaloric energy and macronutrients targets to meet Mediterranean diet guidelines plus 14 intervention contacts over 6 months (4 weekly then 10 biweekly) to cover diabetes self-management education. The first 4 UCC intervention contacts are delivered via synchronous videoconferences followed by educational video links. Participants in Standardized receive the same education content as UCC on the same schedule. However, all intervention contacts are conducted via synchronous videoconferences, paired with Social Cognitive Theory (SCT)-based behavioral counseling, plus dietary self-monitoring of planned meals using a mobile app that provides real-time feedback on calories and macronutrients. Participants in the Personalized arm receive all elements of the Standardized intervention, plus real-time feedback on predicted post-prandial glycemic response (PPGR) to meals and snacks logged into the mobile app. Discussion: The DiaTeleMed study will address an important gap in the current landscape of precision nutrition by determining the contributions of behavioral counseling and personalized nutrition recommendations on glycemic control in individuals with T2D. The fully remote methodology of the study allows for scalability and innovative delivery of personalized dietary recommendations at a population level. Trial registration: The DiaTeleMed Study is registered with ClinicalTrials.gov (Identifier: NCT05046886).
ABSTRACT
Dietetic practice aims to help people modify their diet to slow disease progression and manage disease-related complications while also meeting their nutritional and personal dietary needs. This can be challenging in people with kidney failure undergoing dialysis, particularly in our current food environment and culture. Fortunately, advancements in nutritional-behavioral science and technology are providing new avenues and resources to help meet the challenge. However, progress is slow, and much of dietetic practice in the dialysis population still relies on the interpretation, translation, and application of low-quality, indirect evidence. This Special Issue of Seminars in Dialysis provides readers with an update on and critical insights into some of the major issues and controversies impacting the field of kidney nutrition today.
Subject(s)
Renal Dialysis , Female , Humans , Male , Kidney Failure, Chronic/therapy , Kidney Failure, Chronic/complications , Nutritional StatusABSTRACT
OBJECTIVE: Internet search engines and social media websites are prominent and growing sources of dietary information for people with chronic kidney disease (CKD) and their healthcare providers. However, nutrition therapy for CKD is undergoing a paradigm shift, which may lead to inconsistent advice for managing hyperphosphatemia. The aim of this study was to summarize and evaluate online resources for phosphorus-specific nutrition therapy. DESIGN AND METHODS: Patient-facing resources were collected from Google, Yahoo, and Facebook in June-July 2021. Using nine independent search terms, the first 100 hits were reviewed. Dietary advice for food types, food groups, food subgroups, and individual food items was categorized as "restricted," "recommended," "mixed," and "not mentioned." Information on publication date, source, and author(s), phosphorus bioavailability, and demineralization were also collected. RESULTS: After removing duplicates, 199 resources from Google and Yahoo and 33 from Facebook were reviewed. Resources ranged from 2005 to 2021 and were primarily authored by registered dietitians and medical doctors (65% and 31%, respectively). Dietary advice mostly focuses on restricting high-phosphorus foods and phosphorus additive-based processed foods. Dietary restrictions were generally consistent with the traditional low-phosphorus diet, which targets whole grains, dairy, and plant-based protein foods, although major inconsistencies were noted. Phosphorus bioavailability and demineralization were rarely mentioned (16% and 8%, respectively). Similar findings were found on Facebook, but the limited number of resources limited meaningful comparisons. CONCLUSION: Results showed that online resources for phosphorus-specific nutrition therapy are highly restrictive of heart-healthy food items and contain significant inconsistencies. Given the widespread and increasing use of online resources by people with CKD and health care professionals to inform dietary choices, efforts are urgently needed to establish consensus for phosphorus-specific nutrition therapy. Until then, the findings of this study provide a basis for increasing awareness of the potential for confusion arising from online resources.
ABSTRACT
Excessive dietary phosphorus is a concern among patients with kidney failure undergoing dialysis treatment because it may contribute to hyperparathyroidism and hyperphosphatemia. A long-standing but untested component of the low-phosphorus diet is the promotion of refined grains over whole grains. This paper reviews the scientific premise for restricting whole grains in the dialysis population and estimates phosphorus exposure from grain products based on three grain intake patterns modeled from reported intakes in the general US population, adjusting for the presence of phosphorus additives and phosphorus bioavailability: (1) standard grain intake, (2) 100% refined grain intake, and (3) mixed (50/50 whole and refined grain) intake. Although estimated phosphorus exposure from grains was higher with the mixed grain pattern (231 mg/day) compared to the 100% refined grain pattern (127 mg/day), the amount of additional phosphorus from grains was relatively low. Given the lack of strong evidence for restricting whole grains in people with CKD, as well as the potential health benefits of whole grains, clinical trials are warranted to address the efficacy and health impact of this practice.
Subject(s)
Kidney Failure, Chronic , Phosphorus, Dietary , Renal Dialysis , Humans , Renal Dialysis/adverse effects , Phosphorus, Dietary/administration & dosage , Phosphorus, Dietary/adverse effects , Kidney Failure, Chronic/therapy , Kidney Failure, Chronic/complications , Whole Grains , Hyperphosphatemia/etiology , Phosphorus , Male , FemaleABSTRACT
Diet therapy for hyperkalemia in people with chronic kidney disease (CKD) has shifted considerably in recent years with the observations that reported potassium intake is weakly, or not at all, associated with plasma potassium levels in this population. One of the lingering debates is whether dietary potassium presents a risk of hyperkalemia in the postprandial state. Although there is general agreement about the need for additional research, the commentary by Varshney et al contends that the available research sufficiently demonstrates that high-potassium plant foods do not pose a risk of postprandial hyperkalemia. Others argue that this remains unsettled science. Although the traditional approach of providing people with CKD lists of high-potassium foods to limit or avoid may be unnecessary, those at high risk of hyperkalemia should be encouraged to consume balanced meals and control portions, at least until some of the key research gaps in this area are resolved. This editorial critiques the analyses offered by Varshney et al and explains the rationale for a more cautious approach to care.
Subject(s)
Hyperkalemia , Renal Insufficiency, Chronic , Humans , Hyperkalemia/etiology , Hyperkalemia/prevention & control , Diet, Plant-Based , Diet , Renal Insufficiency, Chronic/complications , PotassiumABSTRACT
BACKGROUND: Accurately identifying eating patterns, specifically the timing, frequency, and distribution of eating occasions (EOs), is important for assessing eating behaviors, especially for preventing and managing obesity and type 2 diabetes (T2D). However, existing methods to study EOs rely on self-report, which may be prone to misreporting and bias and has a high user burden. Therefore, objective methods are needed. METHODS: We aim to compare EO timing using objective and subjective methods. Participants self-reported EO with a smartphone app (self-report [SR]), wore the ActiGraph GT9X on their dominant wrist, and wore a continuous glucose monitor (CGM, Abbott Libre Pro) for 10 days. EOs were detected from wrist motion (WM) using a motion-based classifier and from CGM using a simulation-based system. We described EO timing and explored how timing identified with WM and CGM compares with SR. RESULTS: Participants (n = 39) were 59 ± 11 years old, mostly female (62%) and White (51%) with a body mass index (BMI) of 34.2 ± 4.7 kg/m2. All had prediabetes or moderately controlled T2D. The median time-of-day first EO (and interquartile range) for SR, WM, and CGM were 08:24 (07:00-09:59), 9:42 (07:46-12:26), and 06:55 (04:23-10:03), respectively. The median last EO for SR, WM, and CGM were 20:20 (16:50-21:42), 20:12 (18:30-21:41), and 21:43 (20:35-22:16), respectively. The overlap between SR and CGM was 55% to 80% of EO detected with tolerance periods of ±30, 60, and 120 minutes. The overlap between SR and WM was 52% to 65% EO detected with tolerance periods of ±30, 60, and 120 minutes. CONCLUSION: The continuous glucose monitor and WM detected overlapping but not identical meals and may provide complementary information to self-reported EO.
Subject(s)
Diabetes Mellitus, Type 2 , Prediabetic State , Adult , Female , Humans , Middle Aged , Aged , Male , Wrist , Self Report , Prediabetic State/diagnosis , Diabetes Mellitus, Type 2/diagnosis , Continuous Glucose Monitoring , Blood Glucose Self-Monitoring , Blood Glucose , Obesity/diagnosisABSTRACT
Phosphorus is a vital nutrient, but disturbances in phosphorus homeostasis are central to chronic kidney disease-mineral and bone disorder. To minimize disturbances, traditional dietary guidance focused on a numerical phosphorus target leading to the exclusion of many healthy foods and implementation challenges. Contemporary phosphorus guidance focuses on dietary source, avoiding additives, and emphasizing low-phosphorus bioaccessibility foods, leading to a more liberal approach. Additional work is needed to demonstrate the efficacy of these contemporary approaches and understand the influence of specific foods, processing, and cooking methods. Unfortunately, patient education using traditional and contemporary strategies may give mixed messages, particularly related to plant-based foods. Thus, greater clarity on the effects of specific foods and dietary patterns may improve phosphorus education. This review aims to discuss the evolution of dietary phosphorus management while highlighting areas for future research that can help move the field toward stronger evidence-based guidance to prevent and treat hyperphosphatemia.
Subject(s)
Hyperphosphatemia , Phosphorus, Dietary , Renal Insufficiency, Chronic , Humans , Phosphorus , Renal Insufficiency, Chronic/therapy , Hyperphosphatemia/prevention & control , DietABSTRACT
BACKGROUND: Recent studies have demonstrated considerable interindividual variability in postprandial glucose response (PPGR) to the same foods, suggesting the need for more precise methods for predicting and controlling PPGR. In the Personal Nutrition Project, the investigators tested a precision nutrition algorithm for predicting an individual's PPGR. OBJECTIVE: This study aimed to compare changes in glycemic variability (GV) and HbA1c in 2 calorie-restricted weight loss diets in adults with prediabetes or moderately controlled type 2 diabetes (T2D), which were tertiary outcomes of the Personal Diet Study. METHODS: The Personal Diet Study was a randomized clinical trial to compare a 1-size-fits-all low-fat diet (hereafter, standardized) with a personalized diet (hereafter, personalized). Both groups received behavioral weight loss counseling and were instructed to self-monitor diets using a smartphone application. The personalized arm received personalized feedback through the application to reduce their PPGR. Continuous glucose monitoring (CGM) data were collected at baseline, 3 mo and 6 mo. Changes in mean amplitude of glycemic excursions (MAGEs) and HbA1c at 6 mo were assessed. We performed an intention-to-treat analysis using linear mixed regressions. RESULTS: We included 156 participants [66.5% women, 55.7% White, 24.1% Black, mean age 59.1 y (standard deviation (SD) = 10.7 y)] in these analyses (standardized = 75, personalized = 81). MAGE decreased by 0.83 mg/dL per month for standardized (95% CI: 0.21, 1.46 mg/dL; P = 0.009) and 0.79 mg/dL per month for personalized (95% CI: 0.19, 1.39 mg/dL; P = 0.010) diet, with no between-group differences (P = 0.92). Trends were similar for HbA1c values. CONCLUSIONS: Personalized diet did not result in an increased reduction in GV or HbA1c in patients with prediabetes and moderately controlled T2D, compared with a standardized diet. Additional subgroup analyses may help to identify patients who are more likely to benefit from this personalized intervention. This trial was registered at clinicaltrials.gov as NCT03336411.
Subject(s)
Diabetes Mellitus, Type 2 , Prediabetic State , Adult , Humans , Female , Middle Aged , Male , Glycated Hemoglobin , Blood Glucose , Diet, Fat-Restricted , Blood Glucose Self-Monitoring , Weight Loss/physiologyABSTRACT
Protein-energy wasting (PEW) is a key cause of functional impairment and poor health outcomes in people with chronic kidney disease. While PEW can be mitigated with nutrition therapy, it is a complex myriad of disorders with numerous interacting etiologies and corresponding presentations, which make it difficult to diagnose and manage in practice. A variety of scoring rubrics have been developed to facilitate malnutrition assessment. Although these tools have greatly benefited the recognition and treatment of PEW, the typical format of grading specified PEW indicators has the potential to overlook or overstate highly relevant individual-specific factors. This review presents a simple framework for malnutrition assessment that can be used to complement and evaluate conventional assessment tools. Unlike standard tools, which are designed to identify and rate malnutrition risk and severity, the malnutrition framework is conceptual model that organizes PEW assessment into three distinct, but interacting facets of PEW risk: nutrient balance, nutrition status, and malnutrition risk. The new framework encourages critical thinking about PEW risk that may help clinicians plan and interpret assessments to efficiently and effectively manage this condition.
Subject(s)
Malnutrition , Protein-Energy Malnutrition , Renal Insufficiency, Chronic , Humans , Protein-Energy Malnutrition/diagnosis , Protein-Energy Malnutrition/etiology , Protein-Energy Malnutrition/therapy , Malnutrition/complications , Malnutrition/diagnosis , Nutritional Status , Renal Insufficiency, Chronic/complications , Cachexia/complications , Renal Dialysis/adverse effectsABSTRACT
OBJECTIVES: Although technology-supported interventions are effective for reducing chronic disease risk, little is known about the relative and combined efficacy of mobile health strategies aimed at multiple lifestyle factors. The purpose of this clinical trial is to evaluate the efficacy of technology-supported behavioral intervention strategies for managing multiple lifestyle-related health outcomes in overweight adults with type 2 diabetes (T2D) and chronic kidney disease (CKD). DESIGN AND METHODS: Using a 2 × 2 factorial design, adults with excess body weight (body mass index ≥27 kg/m2, age ≥40 years), T2D, and CKD stages 2-4 were randomized to an advice control group, or remotely delivered programs consisting of synchronous group-based education (all groups), plus (1) Social Cognitive Theory-based behavioral counseling and/or (2) mobile self-monitoring of diet and physical activity. All programs targeted weight loss, greater physical activity, and lower intakes of sodium and phosphorus-containing food additives. RESULTS: Of 256 randomized participants, 186 (73%) completed 6-month assessments. Compared to the ADVICE group, mHealth interventions did not result in significant changes in weight loss, or urinary sodium and phosphorus excretion. In aggregate analyses, groups receiving mobile self-monitoring had greater weight loss at 3 months (P = .02), but between 3 and 6 months, weight losses plateaued, and by 6 months, the differences were no longer statistically significant. CONCLUSIONS: When engaging patients with T2D and CKD in multiple behavior changes, self-monitoring diet and physical activity demonstrated significantly larger short-term weight losses. Theory-based behavioral counseling alone was no better than baseline advice and demonstrated no interaction effect with self-monitoring.
Subject(s)
Diabetes Mellitus, Type 2 , Renal Insufficiency, Chronic , Adult , Humans , Diabetes Mellitus, Type 2/complications , Life Style , Renal Insufficiency, Chronic/therapy , Counseling , Weight Gain , Weight Loss , Phosphorus , SodiumABSTRACT
Individuals with chronic kidney disease (CKD) have an increased risk of cardiovascular disease (CVD), and the kidney function is a critical determinant of this risk. CKD is also a major cause of complications and disease progression in patients with CVD. Practice guidelines suggest that CVD risk in CKD patients can be managed through healthy lifestyle and dietary behaviors. Assessing the impact of diet on heart and kidney health is complex because numerous bioactive compounds from diet may contribute to or prevent CVD or CKD via a myriad of pathways and mechanisms. The objective of this review was to provide a discussion of the mechanisms and evidence linking protein-rich foods and CVD risk in people with CKD. This review highlights the current evidence-based strategies for primary CKD prevention that incorporate a healthy dietary pattern, while tertiary prevention strategies focus on avoiding excess protein and reducing dietary acid load. The effect of protein restriction for improving CVD and CKD outcomes is conflicting; however, these approaches show no negative effects on kidney health. Low-protein and very low-protein diets are promising interventions for reducing the progression of CKD and CVD. Animal-sourced protein may be more detrimental to kidney health than plant-sourced protein due to specific acid load, amino acid composition, generation of uremic toxins, accompanying saturated fat content, low fiber composition, and higher generation of advanced glycation end-products. There are no one-size fits all nutrition prescriptions. Personalized nutrition interventions that target the unique risk factors for CVD associated with reduced kidney function are required to improve the health of people living with CKD.
Subject(s)
Cardiovascular Diseases , Renal Insufficiency, Chronic , Animals , Humans , Cardiovascular Diseases/epidemiology , Risk Factors , Diet, Protein-Restricted/adverse effects , Heart Disease Risk FactorsABSTRACT
Importance: Interindividual variability in postprandial glycemic response (PPGR) to the same foods may explain why low glycemic index or load and low-carbohydrate diet interventions have mixed weight loss outcomes. A precision nutrition approach that estimates personalized PPGR to specific foods may be more efficacious for weight loss. Objective: To compare a standardized low-fat vs a personalized diet regarding percentage of weight loss in adults with abnormal glucose metabolism and obesity. Design, Setting, and Participants: The Personal Diet Study was a single-center, population-based, 6-month randomized clinical trial with measurements at baseline (0 months) and 3 and 6 months conducted from February 12, 2018, to October 28, 2021. A total of 269 adults aged 18 to 80 years with a body mass index (calculated as weight in kilograms divided by height in meters squared) ranging from 27 to 50 and a hemoglobin A1c level ranging from 5.7% to 8.0% were recruited. Individuals were excluded if receiving medications other than metformin or with evidence of kidney disease, assessed as an estimated glomerular filtration rate of less than 60 mL/min/1.73 m2 using the Chronic Kidney Disease Epidemiology Collaboration equation, to avoid recruiting patients with advanced type 2 diabetes. Interventions: Participants were randomized to either a low-fat diet (<25% of energy intake; standardized group) or a personalized diet that estimates PPGR to foods using a machine learning algorithm (personalized group). Participants in both groups received a total of 14 behavioral counseling sessions and self-monitored dietary intake. In addition, the participants in the personalized group received color-coded meal scores on estimated PPGR delivered via a mobile app. Main Outcomes and Measures: The primary outcome was the percentage of weight loss from baseline to 6 months. Secondary outcomes included changes in body composition (fat mass, fat-free mass, and percentage of body weight), resting energy expenditure, and adaptive thermogenesis. Data were collected at baseline and 3 and 6 months. Analysis was based on intention to treat using linear mixed modeling. Results: Of a total of 204 adults randomized, 199 (102 in the personalized group vs 97 in the standardized group) contributed data (mean [SD] age, 58 [11] years; 133 women [66.8%]; mean [SD] body mass index, 33.9 [4.8]). Weight change at 6 months was -4.31% (95% CI, -5.37% to -3.24%) for the standardized group and -3.26% (95% CI, -4.25% to -2.26%) for the personalized group, which was not significantly different (difference between groups, 1.05% [95% CI, -0.40% to 2.50%]; P = .16). There were no between-group differences in body composition and adaptive thermogenesis; however, the change in resting energy expenditure was significantly greater in the standardized group from 0 to 6 months (difference between groups, 92.3 [95% CI, 0.9-183.8] kcal/d; P = .05). Conclusions and Relevance: A personalized diet targeting a reduction in PPGR did not result in greater weight loss compared with a low-fat diet at 6 months. Future studies should assess methods of increasing dietary self-monitoring adherence and intervention exposure. Trial Registration: ClinicalTrials.gov Identifier: NCT03336411.
Subject(s)
Diabetes Mellitus, Type 2 , Metformin , Adult , Blood Glucose , Diet, Fat-Restricted , Female , Glucose , Glycated Hemoglobin , Humans , Middle Aged , Obesity , Weight Loss/physiologyABSTRACT
Background: Accruing evidence indicates that accumulation of advanced glycation end products (AGEs) and activation of the receptor for AGEs (RAGE) play a significant role in obesity and type 2 diabetes. The concentrations of circulating RAGE isoforms, such as soluble RAGE (sRAGE), cleaved RAGE (cRAGE), and endogenous secretory RAGE (esRAGE), collectively sRAGE isoforms, may be implicit in weight loss and energy compensation resulting from caloric restriction. Objectives: We aimed to evaluate whether baseline concentrations of sRAGE isoforms predicted changes (∆) in body composition [fat mass (FM), fat-free mass (FFM)], resting energy expenditure (REE), and adaptive thermogenesis (AT) during weight loss. Methods: Data were collected during a behavioral weight loss intervention in adults with obesity. At baseline and 3 mo, participants were assessed for body composition (bioelectrical impedance analysis) and REE (indirect calorimetry), and plasma was assayed for concentrations of sRAGE isoforms (sRAGE, esRAGE, cRAGE). AT was calculated using various mathematical models that included measured and predicted REE. A linear regression model that adjusted for age, sex, glycated hemoglobin (HbA1c), and randomization arm was used to test the associations between sRAGE isoforms and metabolic outcomes. Results: Participants (n = 41; 70% female; mean ± SD age: 57 ± 11 y; BMI: 38.7 ± 3.4 kg/m2) experienced modest and variable weight loss over 3 mo. Although baseline sRAGE isoforms did not predict changes in ∆FM or ∆FFM, all baseline sRAGE isoforms were positively associated with ∆REE at 3 mo. Baseline esRAGE was positively associated with AT in some, but not all, AT models. The association between sRAGE isoforms and energy expenditure was independent of HbA1c, suggesting that the relation was unrelated to glycemia. Conclusions: This study demonstrates a novel link between RAGE and energy expenditure in human participants undergoing weight loss.This trial was registered at clinicaltrials.gov as NCT03336411.
ABSTRACT
Diet therapy for hyperkalemia in chronic kidney disease (CKD) is at a crossroads: many researchers and clinicians are no longer recommending the low-potassium diet, which has defined practice for the last half century, and instead are favoring a high-potassium, plant-rich diet. Central to this shift is the observation that reported dietary potassium intake is not associated with plasma potassium concentrations. However, kinetic studies using potassium salts indicate that people with CKD have impaired potassium tolerance that may make them susceptible to transient increases in plasma potassium levels from dietary potassium (postprandial hyperkalemia). Observational studies generally measure plasma potassium in the fasting state and before hemodialysis treatment, and therefore may not detect the acute effects of dietary potassium on plasma potassium concentrations. Differences between the acute and chronic effects of dietary potassium on plasma potassium levels may help explain clinical experiences and case studies attributing hyperkalemic episodes in patients with CKD to intakes of high-potassium foods despite their apparent lack of association. To reconcile these findings, an etiology-based approach to managing hyperkalemia is proposed in this review. The approach combines key elements of the low-potassium and plant-rich diets, and adds new features of meal planning to lower the risk of postprandial hyperkalemia.
Subject(s)
Hyperkalemia , Renal Insufficiency, Chronic , Diet , Humans , Hyperkalemia/etiology , Hyperkalemia/therapy , Kinetics , Potassium/therapeutic use , Potassium, Dietary/therapeutic use , Renal Insufficiency, Chronic/complications , Renal Insufficiency, Chronic/drug therapy , Salts/therapeutic useABSTRACT
Protein-energy wasting (PEW) is a unique presentation of protein-energy malnutrition in people with kidney disease that is characterized by body protein catabolism exceeding anabolism. PEW is especially common in patients undergoing maintenance hemodialysis (HD) treatment. Dietary guidelines for managing PEW in HD patients primarily focus on protein adequacy and typically promote the intake of animal-based protein foods. Although intake of protein and essential amino acids is important for protein synthesis, the emphasis on protein adequacy largely fails to address-and may actually exacerbate-many of the root causes of PEW. This perspective examines the dietary determinants of PEW in people undergoing HD treatment, with an emphasis on upstream disease-related factors that reduce dietary protein utilization and impair dietary intakes. From this, we present a theoretical diet model for managing PEW that includes etiology-based dietary strategies to address barriers to intake and treat disease-related factors, as well as supportive dietary strategies to promote adequate energy and protein intakes. Given the complexity of diet-disease interactions in the pathogenesis of PEW, and its ongoing burden in HD patients, interventional trials are urgently needed to evaluate alternative diet therapy approaches for PEW in this population.
Subject(s)
Kidney Failure, Chronic , Protein-Energy Malnutrition , Renal Insufficiency, Chronic , Renal Insufficiency , Animals , Humans , Kidney Failure, Chronic/complications , Kidney Failure, Chronic/therapy , Nutritional Status , Protein-Energy Malnutrition/epidemiology , Protein-Energy Malnutrition/etiology , Protein-Energy Malnutrition/therapy , Renal Dialysis/adverse effects , Renal Insufficiency/etiology , Renal Insufficiency, Chronic/therapyABSTRACT
The advent of new potassium binders provides an important breakthrough in the chronic management of hyperkalemia for people with CKD. In addition to the direct benefits of managing hyperkalemia, many researchers and clinicians view these new medications as a possible means to safely transition patients away from the low-potassium diet to a more healthful eating pattern. In this review, we examine the mechanisms of potassium binders in the context of hyperkalemia risk related to dietary potassium intake in people with CKD. We note that whereas these medications target hyperkalemia caused by potassium bioaccumulation, the primary evidence for restricting dietary potassium is risk of postprandial hyperkalemia. The majority of ingested potassium is absorbed alongside endogenously secreted potassium in the small intestines, but the action of these novel medications is predominantly constrained to the large intestine. As a result and despite their effectiveness in lowering basal potassium levels, it remains unclear whether potassium binders would provide protection against hyperkalemia caused by excessive dietary potassium intake in people with CKD. Until this knowledge gap is bridged, clinicians should consider postprandial hyperkalemia risk when removing restrictions on dietary potassium intake in people with CKD on potassium binders.
Subject(s)
Hyperkalemia , Renal Insufficiency, Chronic , Diet , Female , Humans , Hyperkalemia/drug therapy , Hyperkalemia/etiology , Hyperkalemia/prevention & control , Male , Polymers/therapeutic use , Potassium , Potassium, Dietary/adverse effects , Renal Insufficiency, Chronic/complications , Renal Insufficiency, Chronic/drug therapyABSTRACT
We aim to describe temporal eating patterns in a population of adults with overweight or obesity. In this cross-sectional analysis, data were combined from two separate pilot studies during which participants entered the timing of all eating occasions (>0 kcals) for 10-14 days. Data were aggregated to determine total eating occasions, local time of the first and last eating occasions, eating window, eating midpoint, and within-person variability of eating patterns. Eating patterns were compared between sexes, as well as between weekday and weekends. Participants (n = 85) had a median age of 56 ± 19 years, were mostly female (>70%), white (56.5%), and had a BMI of 31.8 ± 8.0 kg/m2. The median eating window was 14 h 04 min [12 h 57 min-15 h 21 min], which was significantly shorter on the weekend compared to weekdays (p < 0.0001). Only 13.1% of participants had an eating window <12 h/d. Additionally, there was greater irregularity with the first eating occasion during the week when compared to the weekend (p = 0.0002). In conclusion, adults with overweight or obesity have prolonged eating windows (>14 h/d). Future trials should examine the contribution of a prolonged eating window on adiposity independent of energy intake.