Biomarkers Of Cardiometabolic Health Research Articles

Does the effect of adolescent health behaviours on adult cardiometabolic health differ by socioeconomic background? Protocol for a population-based cohort study

IntroductionAdolescence is a sensitive period for cardiometabolic health. Yet, it remains unknown if adolescent health behaviours, such as alcohol use, smoking, diet and physical activity, have differential effects across socioeconomic...

Higher Expression of miR-15b-5p with Inclusion of Fresh, Lean Beef as Part of a Healthy Dietary Pattern Is Inversely Associated with Markers of Cardiometabolic Disease Risk

BackgroundConsiderable controversy exists surrounding the consumption of red meat and its impacts on cardiometabolic health and if it may further impact risk factors at the molecular level. ObjectiveThe purpose of this study was to examine the acute effects of dietary patterns, varying in red meat quantity, on the expression of circulating microRNAs (miRNAs), which are emerging biomarkers of metabolic dysfunction and chronic disease severity. MethodsSecondary analyses were performed on plasma samples collected within a randomized, crossover design study in 16 women with overweight (mean ± standard deviation, age = 33 ± 9.89 y; body mass index = 27.9 ± 1.66 kg/m2). Participants were provided with eucaloric, isonitrogenous diets (15% of daily intake as protein) containing either 2 servings of fresh, lean beef/day (BEEF) or 0 servings of fresh, lean beef/day (PLANT) for 7 d/pattern. Fasting blood samples were collected at the end of each dietary pattern for the assessment of 12 circulating metabolic miRNA expression levels (determined a priori by quantitative reverse transcriptase-polymerase chain reaction), plasma glucose, insulin, interleukin-6, tumor necrosis factor-α, C-reactive protein (CRP), adiponectin, glucagon-like peptide-1, and branched-chain amino acids. ResultsOf the 12 miRNAs, miR-15b-5p expression was higher following BEEF versus PLANT (P = 0.024). Increased miR-15b-5p expression correlated with decreased fasting CRP (r = −0.494; P = 0.086) and insulin concentrations (r = −0.670; P = 0.017). miR-15b-5p was inversely correlated with insulin resistance (r = −0.642; P = 0.024) and β cell function (r = −0.646; P = 0.023) and positively correlated with markers of insulin sensitivity (r = 0.520; P = 0.083). However, the correlations were only observed following BEEF, not PLANT. ConclusionsThese data indicate that the short-term intake of fresh, lean beef as part of a healthy dietary pattern impacts potential biomarkers of cardiometabolic health that are associated with cardiometabolic risk factors in women with overweight.This study was registered at clinicaltrials.gov as NCT02614729.

Associations among NMR-measured inflammatory and metabolic biomarkers and accelerated aging in cardiac catheterization patients.

Research into aging has grown substantially with the creation of molecular biomarkers of biological age that can be used to determine age acceleration. Concurrently, nuclear magnetic resonance (NMR) assessment of biomarkers of inflammation and metabolism provides researchers with new ways to examine intermediate risk factors for chronic disease. We used data from a cardiac catheterization cohort to examine associations between biomarkers of cardiometabolic health and accelerated aging assessed using both gene expression (Transcriptomic Age) and DNA methylation (Hannum Age, GrimAge, Horvath Age, and Phenotypic Age). Linear regression models were used to associate accelerated aging with each outcome (cardiometabolic health biomarkers) while adjusting for chronological age, sex, race, and neighborhood socioeconomic status. Our study shows a robust association between GlycA and GrimAge (5.71, 95% CI = 4.36, 7.05, P = 7.94 × 10-16), Hannum Age (1.81, 95% CI = 0.65, 2.98, P = 2.30 × 10-3), and Phenotypic Age (2.88, 95% CI = 1.91, 3.87, P = 1.21 × 10-8). We also saw inverse associations between apolipoprotein A-1 and aging biomarkers. These associations provide insight into the relationship between aging and cardiometabolic health that may be informative for vulnerable populations.

Chronic almond nut snacking alleviates perceived muscle soreness following downhill running but does not improve indices of cardiometabolic health in mildly overweight, middle-aged, adults.

As a popular food snack rich in protein, fiber, unsaturated fatty acids, antioxidants and phytonutrients, almond nut consumption is widely associated with improvements in cardiometabolic health. However, limited data exists regarding the role of almond consumption in improving exercise recovery. Accordingly, we aimed to investigate the impact of chronic almond snacking on muscle damage and cardiometabolic health outcomes during acute eccentric exercise recovery in mildly overweight, middle-aged, adults. Using a randomized cross-over design, 25 mildly overweight (BMI: 25.8 ± 3.6 kg/m2), middle-aged (35.1 ± 4.7 y) males (n = 11) and females (n = 14) performed a 30-min downhill treadmill run after 8-weeks of consuming either 57 g/day of whole almonds (ALMOND) or an isocaloric amount (86 g/day) of unsalted pretzels (CONTROL). Muscle soreness (visual analogue scale), muscle function (vertical jump and maximal isokinetic torque) and blood markers of muscle damage (creatine kinase (CK) concentration) and inflammation (c-reactive protein concentration) were measured pre and post (24, 48, and 72 h) exercise. Blood biomarkers of cardiometabolic health (total cholesterol, triglycerides, HDL cholesterol, and LDL cholesterol), body composition and psycho-social assessments of mood (POMS-2 inventory), appetite and well-being were measured pre and post intervention. Downhill running successfully elicited muscle damage, as evidenced by a significant increase in plasma CK concentration, increased perception of muscle soreness, and impaired vertical jump performance (all p < 0.05) during acute recovery. No effect of trial order was observed for any outcome measurement. However, expressed as AUC over the cumulative 72 h recovery period, muscle soreness measured during a physical task (vertical jump) was reduced by ~24% in ALMOND vs. CONTROL (p < 0.05) and translated to an improved maintenance of vertical jump performance (p < 0.05). However, ALMOND did not ameliorate the CK response to exercise or isokinetic torque during leg extension and leg flexion (p > 0.05). No pre-post intervention changes in assessments of cardiometabolic health, body composition, mood state or appetite were observed in ALMOND or CONTROL (all p > 0.05). Chronic almond supplementation alleviates task-specific perceived feelings of muscle soreness during acute recovery from muscle damaging exercise, resulting in the better maintenance of muscle functional capacity. These data suggest that almonds represent a functional food snack to improve exercise tolerance in mildly overweight, middle-aged adults.

Associations Between Head Injury, Strangulation, Cardiometabolic Health, and Functional Disability Among Female Survivors of Intimate Partner Violence

ObjectiveHead injury and strangulation are highly prevalent in intimate partner violence (IPV) contexts, but there is little research examining the potential implications of these injuries on physical health and functional status. This pilot study explored the extent to which injury type (head injury, strangulation) and severity (no injury, subconcussive head injury, traumatic brain injury; no strangulation, strangulation, strangulation with loss of consciousness) were associated with biomarkers of cardiometabolic health and self-reported functioning among female survivors of IPV. MethodsParticipants were 51 individuals assigned female at birth who experienced IPV during their lifetime and screened positive for probable posttraumatic stress disorder (PTSD) on the PTSD Checklist for DSM-5 (average age = 32.6 years, SD = 7.1). ResultsHead injury was associated with statistically significant increases in blood glucose levels (p = .01, d = 1.10). Shifts toward more high-risk values with moderate-strong effect sizes were also found in high-density lipoprotein, low-density lipoprotein, and waist-to-hip ratio (ps: .06–.13; ds: 0.51–1.30). Strangulation was associated with increased cholesterol levels, with a moderate effect size (p = .20, d = 0.59). Regression models accounting for age, education, PTSD symptoms, childhood trauma, strangulation, and head injuries predicted functional disability status (R2 = 0.37, p < .01) and several of its associated domains: cognition (R2 = 0.34, F(8,42) = 2.73, p = .01), mobility (R2 = 0.47, F(8,42) = 4.82, p < .001), and participation in society (R2 = 0.33, F(8,42) = 2.59, p = .02). ConclusionsFindings suggest the need to develop integrated treatments that address physical health comorbidities among female survivors of IPV with a history of head injury to improve daily function and quality of life.

O.3.2-2 Substituting device-measured sedentary time with alternative 24-hour movement behaviours: compositional associations with adiposity, cardiometabolic risk and arterial stiffness in the ORISCAV-LUX 2 study

Abstract Purpose There is a considerable burden of sedentary time in European adults. We aimed to quantify the differences in adiposity, cardiometabolic risk biomarkers, and arterial stiffness associated with exchanging sedentary time for alternative 24-hour movement behaviours. Methods This observational cross-sectional study included Luxembourg residents aged 18-79y who each provided ≥4 valid days of triaxial accelerometry (n=1046). Covariable adjusted compositional isotemporal substitution models were used to examine if replacing device-measured sedentary time with more time in the sleep period, light physical activity (PA), or moderate-to-vigorous PA (MVPA) was associated with waist circumference, numerous biomarkers of cardiometabolic health (fasting plasma glucose and insulin, triglycerides, high-density lipoprotein cholesterol (HDL-c), the ratio of apolipoprotein B/A1), and arterial stiffness (carotid-femoral pulse wave velocity (cfPWV)). We further investigated the cardiometabolic properties of replacing sedentary time accumulated in prolonged (≥30 minute) with non-prolonged (&amp;lt;30 minute) bouts. The results are presented as 30 minute time exchanges (β (95% confidence interval)). Results Replacing 30 minutes of sedentary time with MVPA was favourably associated with waist circumference (-1.09 (-1.68 to -0.51) cm), HDL-c (1.30 (0.68 to 1.93) mg/dL), fasting glucose (-1.02 (-1.64 to -0.39) mg/dL), insulin (-4.71 (-7.12 to -2.24) %), and cfPWV (-1.70 (-2.76 to -0.62) %). Substituting sedentary time with light PA was associated with fasting insulin (-3.29 (-5.71 to -0.81) %), and was the only time-exchange to predict lower triglycerides (-2.32 (-4.38 to -0.21) %) and a lower apolipoprotein B/A1 ratio (-0.01 (-0.02 to -0.00)). Exchanging sedentary time with more time in the sleep period was associated with lower fasting insulin (-2.56 (-3.99 to -1.11)), and also with lower waist circumference (-1.39 (-2.30 to -0.48) cm) and cfPWV (-1.96 (-3.74 to -0.15) %) in short sleepers (&amp;lt;7h per night (n=349)). There was no evidence that replacing prolonged with non-prolonged sedentary time was related to outcomes. Conclusions Replacing sedentary time with MVPA is beneficially associated with the widest range of cardiometabolic risk factors, but light PA confers additional and unique benefit. Extending sleep, by redistributing sedentary time, may be an appropriate strategy to lower obesity risk and improve arterial health in short-sleeping individuals. Funding Luxembourg Institute of Health.

Serum metabolomic adaptations following a 12-week high-intensity interval training combined to citrulline supplementation in obese older adults

ABSTRACT Physical activity and nutrition play important roles in preventing adverse health outcomes that accompany aging. It has been shown that high-intensity interval training (HIIT) combined with citrulline (CIT) supplementation can improve physical and functional capacities. The aim of this study was to evaluate serum metabolites following a 12-week HIIT combined or not with CIT in obese older adults, and to correlate the metabolic changes with clinico-biological parameters changes. Eighty-six obese older adults completed a 12-week HIIT program combined with a 10 g daily supplementation of either CIT or placebo (PLA) during a double-blinded randomized interventional trial. Only participants with blood samples at T0 (before the intervention) and/or T12 (after the intervention) were included in our sub-analysis (HIIT-PLA-T0: n = 44 and HIIT-PLA-T12: n = 28; HIIT-CIT-T0: n = 39 and HIIT-CIT-T12: n = 42). Serum samples were analyzed by different liquid or gas phase chromatography methods coupled to mass spectrometry. Among the identified metabolites, 44 changed significantly following the 12-week intervention (Time effect), and 10 of them were more affected when HIIT was combined with CIT (Time × Supp effect). Arginine increased significantly due to the 12-week intervention. Correlation analyses demonstrated that decreased triglyceride (TG) (16:1/18:1/16:0) and aspartic acid significantly correlated with a reduction of adiposity-related parameters (fat mass, leg lean mass, leptin, total triglycerides and low-density lipoprotein). Arginine, TG (16:1/18:1/16:0) and aspartic acid might constitute biomarkers of cardiometabolic health and adiposity. Further studies are needed to confirm these associations and understand the underlying mechanisms. Highlights A 12-week intervention involving high-intensity interval training (HIIT) with or without citrulline (CIT) supplementation induced adaptations in the serum metabolome of obese older adults through significant changes in 44 metabolites. Changes in 23 metabolites were observed when a CIT supplementation was administered along with a 12-week HIIT intervention. TG (16:1/18:1/16:0) correlated with several adiposity parameters including leptin, triglycerides, legs lean mass. Aspartic acid correlated with several adiposity parameters including leptin, LDL cholesterol as well as android, arms and trunk fat mass.

Rapid, Digital Dietary Assessment in Association with Cardiometabolic Biomarkers.

To examine the associations between dietary intake as assessed by a rapid, image-based digital tool and biomarkers of cardiometabolic health. Retrospective analysis of adults with blood biomarkers performed by Boston Heart Diagnostics (BHD) between December 2020 and March 2022. Outpatient centers serviced by BHD. 546 adults, excluding those taking relevant medications and/or supplements known to affect blood test results. Laboratory assays of blood specimens were performed by Boston Heart Diagnostics. Nutrient intake and diet quality data were obtained using Diet Quality Photo Navigation (DQPN®; US Patent #11,328,810 B2) technique via Diet ID™ tool. Pearson correlation coefficients (for continuous variables) and Spearman coefficients (for ordinal variables) were used to evaluate associations between nutrient intake data and laboratory data for the full study sample. Two-sided P-values < .05 were considered statistically significant. Both continuous and ordinal measures of diet quality correlated significantly with HDL-C and triglycerides (n = 485; P < .0 01); with hs-CRP (n = 441; P < .001); with HgbA1c (n = 345; P < .01); with fasting insulin (n = 372; P < .001); and with HOMA-IR (n = 319; P < .001). Findings affirm that rapid, digital diet quality and composition assessment by pattern recognition rather than recall tracks significantly with key biomarkers of cardiometabolic health.

The link between liver fat and cardiometabolic diseases is highlighted by genome-wide association study of MRI-derived measures of body composition

Obesity and associated morbidities, metabolic associated fatty liver disease (MAFLD) included, constitute some of the largest public health threats worldwide. Body composition and related risk factors are known to be heritable and identification of their genetic determinants may aid in the development of better prevention and treatment strategies. Recently, large-scale whole-body MRI data has become available, providing more specific measures of body composition than anthropometrics such as body mass index. Here, we aimed to elucidate the genetic architecture of body composition, by conducting genome-wide association studies (GWAS) of these MRI-derived measures. We ran both univariate and multivariate GWAS on fourteen MRI-derived measurements of adipose and muscle tissue distribution, derived from scans from 33,588 White European UK Biobank participants (mean age of 64.5 years, 51.4% female). Through multivariate analysis, we discovered 100 loci with distributed effects across the body composition measures and 241 significant genes primarily involved in immune system functioning. Liver fat stood out, with a highly discoverable and oligogenic architecture and the strongest genetic associations. Comparison with 21 common cardiometabolic traits revealed both shared and specific genetic influences, with higher mean heritability for the MRI measures (h2 = .25 vs. .13, p = 1.8x10−7). We found substantial genetic correlations between the body composition measures and a range of cardiometabolic diseases, with the strongest correlation between liver fat and type 2 diabetes (rg = .49, p = 2.7x10−22). These findings show that MRI-derived body composition measures complement conventional body anthropometrics and other biomarkers of cardiometabolic health, highlighting the central role of liver fat, and improving our knowledge of the genetic architecture of body composition and related diseases.

Design and methods of a randomized web-based physical activity intervention among children with cancer: A report from the Children's Oncology Group

BackgroundPromoting physical activity soon after treatment for childhood cancer may benefit health because sedentary lifestyle during curative therapy may perpetuate physical and emotional complications. The primary goals of this study are to evaluate the effects of a 6-month web-based, rewards-based physical activity intervention on fitness, biomarkers of cardiometabolic health, inflammation, adipokine status, quality of life and school attendance, and determine if effect of intervention on markers of cardiometabolic health is mediated by changes in fitness. The primary outcome of interest is fitness (physiological cost index, six-minute walk test) measured at end of intervention. MethodsThis ongoing study is a two-arm, prospective, randomized design with accrual goals of 192 children for intervention and control groups. Children ≥8 years and < 16 years of age, not meeting recommended levels of physical activity, who completed therapy within the past 12 months are eligible. Both groups receive: 1) educational materials encouraging physical activity, 2) activity monitor, 3) access to web-based interface designed to motivate physical activity, 4) rewards based on physical activity levels, and 5) access to their activity data on the web-interface. Those randomized to intervention: 1) can view others' activity and interact with other participants, and 2) receive rewards based on physical activity levels throughout the intervention (vs. at the end of the intervention for control group). ConclusionUnique, scalable, and portable physical activity interventions that motivate young survivors are needed. This study will inform future web-based physical activity interventions for children with cancer by demonstrating effects of rewards and social interaction. Clinical trialsClinicalTrials.gov Identifier: NCT03223753; COG Identifier: ALTE1631.

The Effect of 3-Week Betaine Supplementation on Blood Biomarkers of Cardiometabolic Health in Young Physically Active Males.

Betaine (BET) supplementation decreases homocysteine concentration in plasma, but it may also have an adverse effect on health by increasing blood lipid concentrations, at least in overweight and obese individuals. The aim of this study was to evaluate the effect of BET supplementation on the lipid profile and concentrations of homocysteine, inflammatory cytokines, and liver enzymes in physically active, healthy males. This was a randomized, placebo (PL)-controlled, double-blinded, crossover trial. BET (2.5 or 5.0 g/d) was administered for 21 days. Before and after supplementation with BET or PL, anthropometric measurements and blood were collected in a fasted state. Our results show that BET supplementation significantly decreased homocysteine concentration (from 17.1 ± 4.0 μmol/L before BET to 15.6 ± 3.5 μmol/L after BET, p = 0.009, η2 = 0.164). However, the intervention had no effect on total cholesterol, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, triacylglycerol, interleukins 1β and 6, and tumour necrosis factor α concentrations, or alanine and aspartate activities. In addition, there were no interactions between the MTHFR genotype and BET dose. In conclusion, BET supplementation may be beneficial for homocysteine concentration in healthy, physically active males, with no detrimental effect on lipid profile.

1284-P: Genetic and Lifestyle Associations with Cardiometabolic Traits and Diabetes Risk Factors in Ethnically Diverse Africans

African ancestry populations are underrepresented in human genetic studies, which leaves a knowledge gap about genetic and environmental risk factors for metabolic disease which can bias healthcare treatment. To alleviate these shortcomings, we conducted a series of genome-wide association studies of cardiometabolic traits in a diverse sampling of ∼2,500 (max sample size) ethnically and geographically diverse Africans from populations practicing agriculturalist, hunter-gatherer, and pastoralist subsistence strategies. This study includes the Fulani pastoralists who have a relatively high incidence of adult-onset diabetes, despite having a low average body mass index (BMI) . All individuals in the present study are sampled from rural populations that have relatively homogeneous lifestyles and diet within a community. This unique aspect to the study cohort allows for within- and between- group comparisons to identify trait variation attributable to genetics vs. lifestyle variation. Subjects were genotyped on a new African-focused SNP array from the Human Heredity and Health in Africa (H3 Africa) consortium. Genome-wide data was imputed based on a panel of African whole-genome sequences and data from the 1000 genomes project, resulting in a total of million variants for trait association analysis. Genetic associations were tested for BMI, blood pressure, and blood biomarkers of cardiometabolic health. We checked for replication of genotype/phenotype associations by comparison to large non-African cohorts studied for the same traits. We find that most associations identified in non-African populations do not replicate in the Africans. However, we identified a number of novel loci associated with cardiometabolic traits in the African populations. This study has important implications for identifying genetic risk factors that may play a role in metabolic disease in individuals of African ancestry. Funded by ADA Pathway award 1-19-VSN-02. Disclosure D.Hui: None. T.B.Nyambo: None. S.Chanock: None. S.A.Tishkoff: None. D.Harris: None. M.Mcquillan: None. M.Hansen: None. A.Ranciaro: None. W.Beggs: None. S.W.Mpoloka: None. D.Woldemeskel: None. A.K.K.Njamnshi: None. Funding American Diabetes Association (1-19-VSN-02) ; National Institutes of Health (R35 GM134957-01, R01AR076241, 5T32DK007314-39, 1OT3HL142479-01, 1OT3HL142478-01, 1OT3HL142481-01, 1OT3HL142480-01, 1OT3HL147154-01)

Improving Emotional Well‐Being and Cardio‐Metabolic Health with Continuous Glucose Monitoring

Continuous glucose monitoring (CGM) is extensively used in diabetic populations but understudied in non‐diabetic patients. Glycemic variability is a risk factor for cardiovascular disease, and emerging evidence suggests close monitoring of glycemic control may have a positive impact on chronic disease. CGM increases awareness of glycemic dysregulation and empowers patients to create sustainable changes in eating behaviors. The purpose of this study (ClinicalTrials.gov Identifier: NCT04920058) was to determine if access to continuous blood glucose data using a CGM‐Levels software system improves cardiometabolic health, sleep quality, and emotional well‐being in nondiabetic patients undergoing a comprehensive wellness program.In this 12‐week randomized clinical trial, patients enrolled in a low carbohydrate‐based wellness program were randomly assigned to monitor glucose using a CGM with Levels software (CGM, N=14) or classic glucometer (Ctrl, N=11). Weight, BMI, waist circumference, liver fat (via abdominal ultrasound), and a cardiometabolic blood panel were measured pre‐and post‐program. Ketones were tested weekly, and glucose tested daily using a glucometer in both groups (CGM and Ctrl). Psychological measures of emotional well‐being, depression, anxiety and sleep quality were performed with a subjective well‐being survey, Patient Health Questionnaire‐9 (PHQ9), generalized anxiety disorder‐7 (GAD‐7) and Pittsburgh Sleep Quality Index (PSQI), respectively, pre‐program, week 6, and post‐program.Differences were observed between the groups for liver fat which decreased over time in the CGM but not Ctrl group (p&lt;0.05). Other cardio‐metabolic biomarkers improved in both groups over the course of the study, including weight loss, BMI, waist circumference, triglycerides, VLDL, and fasting insulin, but no differences between groups were observed. Total cholesterol, Non‐HDL, LDL, and HDL ratio increased in both groups over time, but did not differ between groups. Assessments of emotional well‐being, depression, anxiety, and sleep quality also improved in both groups over time, again with no intergroup differences.In a non‐diabetic population, a 12‐week comprehensive wellness program inclusive of glycemic monitoring using CGM was effective at improving liver fat while several biomarkers of cardio‐metabolic health, sleep quality, and emotional well‐being improved regardless of the type of glycemic monitor used. CGM was endorsed by patients to be more comfortable and easier to use than finger stick glucometers, and its use did not impair trial results compared to Ctrl. Thus, CGM with Levels software appears to be a viable and effective method for monitoring glycemic variability in a non‐diabetic population seeking to improve cardio‐metabolic health.

Individuals with Acute Spinal Cord Injury Display Impaired Biomarkers of Cardiometabolic Health

Individuals with spinal cord injuries (SCI) have a greater incidence of cardiovascular disease (CVD) than the non‐injured. Contributing to the increased CVD is decreased cardiometabolic health including increased insulin resistance, central adiposity, and dyslipidemia. In fact, cross‐sectional analyses of individuals with chronic SCI (up to 50 years post injury) indicates that up to 70% are classified as overweight/obese and 25‐60% have either insulin resistance or dyslipidemia. However, current understanding of cardiometabolic health in SCI derives from those with chronic injury, hence it is unknown if biomarkers are adversely affected in those with more acute injuries. Therefore, we assessed cardiometabolic health in individuals with SCI &lt;3 yrs. Cardiometabolic health was assessed through fasting blood glucose, insulin, triglycerides, low density lipoprotein (LDL), high density lipoprotein (HDL), total cholesterol, C‐reactive protein (CRP), and hemoglobin A1C (HbA1C). In addition, oral glucose tolerance testing (OGTT) was performed, and body composition was estimated via dual energy x‐ray absorptiometry (DXA). Five individuals (1F, 4M) aged 20 to 34 yo with SCI at neurologic level of injury ranging from spinal cord segments C6 to T4 (ASIA A and B) at 9 to 27 months post‐injury participated. All subjects displayed at ≥1 marker of impaired cardiometabolic health, while one displayed five markers. Body fat ranged from 27 to 42%, and one subject was classified as obese, two as overweight, and two as normal weigh based on BMI. Dyslipidemia was prominent in four of five subjects: one had elevated total cholesterol (&gt;200 mg/dL), one had elevated triglycerides (&gt;150 mg/dL), three had low HDL (&lt;40 mg/dL), and two had elevated LDL (&gt;100 mg/dL). Glucose tolerance test data and fasting insulin measurements showed normal fasting glucose (&lt;100 mg/dl), HOMA‐IR (&lt;2.0), and HbA1C (&lt;5.7%) in all individuals, but one subject displayed impaired glucose tolerance during the OGTT (1 hr post &gt;200 mg/dL, 2hr post &gt;180 mg/dL). Three of five subjects had CRP levels &gt;3.0, suggesting an increased inflammatory state. These preliminary results strongly suggest that cardiometabolic health may be impaired within 3 years after SCI. These biomarkers of altered cardiometabolic health, specifically related to lipid dysregulation, may reflect adipose tissue dysfunction, possibly in response to the accumulation of adipose tissue and/or the decreased physical activity, increased sedentary activity, and skeletal muscle atrophy that typically occurs following a spinal injury. More research is needed to determine the mediators of impaired cardiometabolic health in subjects with SCI and determine effective strategies to mitigate the detrimental effects of SCI on cardiometabolic health.

Social Relationships, Wealth, and Cardiometabolic Risk: Evidence from a National Longitudinal Study of U.S. Older Adults

Objectives: To investigate multiple dimensions of social relationships related to biomarkers of cardiometabolic health and how their associations vary by wealth in older adults. Methods: Growth curve models were used to investigate the longitudinal associations between measures of both positive and negative social relationships and cardiometabolic risk (CMR) over a 10-year period from 2006 to 2016 and the moderation of this association by wealth in the Health and Retirement Study (HRS). Results: Older adults with better social relationships had lower CMR on average. The protective effects of positive social relationships, however, waned at older ages, particularly for low-wealth individuals. Discussion: Our results suggest that good social relationships promote healthy aging by buffering against harmful cardiometabolic consequences of psychosocial stress, particularly among relatively wealthy individuals. Efforts to improve old age health would be more effective when focusing simultaneously on fostering social connections and boosting financial resources.

ARTE index revisited: linking biomarkers of cardiometabolic health with free-living physical activity in postmenopausal women.

Activity-related energy expenditure (AEE) correlates with physical activity volume; however, between-person differences in body size and walking economy (net V̇o2) can influence AEE. The ratio of total energy expenditure (TEE) and resting energy expenditure (REE) estimates physical activity level (PAL) relative to body mass, yet does not account for variance in walking economy. The activity-related time equivalent (ARTEwalk) circumvents such constraints by adjusting for individual-specific walking economy. Herein, we compared AEE, PAL, and ARTEwalk index in a cohort (n = 81) of postmenopausal women while examining possible associations with biomarkers of cardiometabolic health. Secondary analyses were performed on postmenopausal women dichotomized above/below age group 50th percentile for body fat percent. TEE was reduced by 10% for the thermogenesis of digestion wherein AEE was calculated by subtracting REE from adjusted TEE. PAL was calculated as the ratio of TEE/REE. AEE was divided by the mean net energy expenditure of nongraded walking to calculate the ARTEwalk index. Between-group differences were not detected for AEE or PAL. However, the ARTEwalk index revealed that participants with less adiposity were more physically active (258 ± 149 vs. 198 ± 115 min·day-1; P = 0.046; g = 0.46). AEE and PAL did not correlate with cardiorespiratory fitness or biomarkers of cardiometabolic health. Cardiorespiratory fitness (r = 0.32), arterial elasticity (r = 0.24), total cholesterol/HDL-c ratio (r = -0.22), and body fat% (r = -0.24) were correlated with ARTEwalk. The ARTEwalk index may offer utility in detecting possible differences in physical activity volume among postmenopausal women and appears better associated with cardiometabolic biomarkers compared with AEE or PAL.

The Effect of Lifestyle Intervention on Systemic Oxidative Stress in Women with Obesity and Infertility: A Post-Hoc Analysis of a Randomized Controlled Trial.

We aimed to study whether lifestyle intervention could reduce systemic oxidative stress (OS) and the association between OS and cardiometabolic outcomes in women with obesity and infertility. From 2009 to 2012, infertile women with a BMI ≥ 29 kg/m2 were randomly assigned to a six-month lifestyle intervention followed by infertility treatment (N = 289) or to prompt infertility treatment (N = 285). Fasting serum free thiols (FT) concentrations were determined by colorimetry at baseline, at three and six months after randomization. Generalized estimating equations and restricted cubic spline regressions were used to estimate mean differences in serum FT levels between groups and to explore associations between serum FT levels and cardiometabolic outcomes. Baseline serum FT levels did not differ between the two groups (N = 203 in the intervention group vs N = 226 in the control group, 222.1 ± 48.0 µM vs 229.9 ± 47.8 µM, p = 0.09). Body weight decreased by 3.70 kg in the intervention group compared with the control group at six months (95% confidence interval [CI]: −7.61 to 0.21, p = 0.06). No differences in serum FT levels were observed between groups at either three months (N = 142 vs N = 150, mean differences: −1.03 µM, 95% CI: −8.37 to 6.32, p = 0.78) or six months (N = 104 vs N = 96, mean differences: 2.19 µM, 95% CI: −5.90 to 10.28, p = 0.60). In a pooled analysis of all available measurements, triglycerides (crude B: 5.29, 95% CI: 1.08 to 9.50, p = 0.01), insulin (crude B: 0.62, 95% CI: 0.26 to 0.98, p = 0.001), and homeostasis model assessment of insulin resistance (crude B: 2.50, 95% CI: 1.16 to 3.38, p < 0.001) were positively associated with serum FT levels. High-sensitivity C-reactive protein (hs-CRP) was negatively associated with serum FT levels (crude B: −0.60, 95% CI: −1.11 to −0.10, p = 0.02). The change in hs-CRP during the lifestyle intervention was strongly and inversely associated with serum FT levels (crude B: −0.41, 95% CI: −0.70 to −0.13, p = 0.005). No significant deviations from linear associations were observed between serum FT and hs-CRP. We do not observe an improvement in systemic OS in women with obesity and infertility with modest weight loss. There were potential associations between OS and biomarkers of cardiometabolic health. Trial registration: This trial was registered on 16 November 2008 at the Dutch trial register (NTR1530).

Cardiometabolic, dietary and physical health in graduate paramedics during the first 12-months of practice – a longitudinal study

Objective: Shift work is an established risk factor for poor health yet is necessary for paramedics to provide continuous care to the public. It is unknown how early into a career shift work may begin to impact health. This study sought to identify changes in cardiometabolic health, diet, aerobic capacity, physical activity and health-related quality of life (HRQoL) in graduate paramedics during the first 12-months of their career. Methods: Fifty-six paramedics with no history of regular shift work (28 female, 28 male; median age 24.5, IQR 23-26 years) were recruited for this study. Dietary patterns (food frequency questionnaires) and HRQoL (36-Item Short Form Questionnaire) were assessed at baseline, 6- and 12-months. Body weight, body mass index (BMI) and blood samples (fasting lipids, glucose, insulin and C-reactive protein) were measured at baseline and 12-months to ascertain cardiometabolic health risk. A subset of participants (n = 19; 10 female, 9 male) wore a physical activity monitor for 12 months and completed baseline and 12-month maximal aerobic capacity assessments (V̇O2max). Results: Body weight and BMI decreased in males and increased in females (-0.7% versus 1.7%, p = 0.02). HRQoL and dietary intake did not change over 12-months, except for a small decrease in fat intake (-1%). Consumption of core/healthy foods was lower than recommended at all timepoints. Biomarkers of cardiometabolic health were within normal range and did not change over 12-months, excepting insulin where a small non-significant increase was seen (+0.5 mIU/L, p = 0.61). Baseline V̇O2max was 41.4 (37.1-49.1) ml.kg−1.min−1, with no change noted at 12-months. Comparison of quarterly physical activity data showed no difference in steps per day (p = 0.47) or moderate to vigorous physical activity (MVPA, p = 0.92) across the 12-months. Paramedics completed less MVPA on day shifts compared to rostered days off (-14.68 minutes, p = 0.04). Conclusions: Dietary patterns, HRQoL, cardiometabolic health, aerobic capacity and physical activity levels did not change meaningfully in the first year of practice. Some dietary behaviors and physical activity levels could be improved and may mitigate health effects of exposure to shift work. Long-term follow-up of this group may aid in developing programs to enhance health for paramedics and other health workers.

Aerobic and resistance exercise improve patient-reported sleep quality and is associated with cardiometabolic biomarkers in Hispanic and non-Hispanic breast cancer survivors who are overweight or obese: results from a secondary analysis.

Poor sleep quality affects nearly one-third of breast cancer survivors and is associated with insulin resistance. The purpose of this secondary analysis was to examine the effects of a 16-week exercise intervention on patient-reported sleep quality among breast cancer survivors and assess whether changes in patient-reported sleep quality were associated with cardiometabolic biomarkers. We explored Hispanic ethnicity as a moderator of the effects of exercise on patient-reported sleep quality. Breast cancer survivors who were overweight or obese were randomized to exercise (n = 50) or usual care (n = 50). The 16-week intervention included aerobic and resistance exercise. Patient-reported sleep quality (Pittsburgh Sleep Quality Index [PSQI]) and biomarkers of cardiometabolic health were assessed at baseline and post-intervention. Within- and between-group differences were assessed using general linear models repeated-measures analyses of variance and mixed-model repeated-measure analysis, respectively. Associations between changes in PSQI and cardiometabolic biomarkers were computed using Pearson correlations. Linear mixed-models were used to evaluate effect modification by ethnicity. Participants were 52 ± 10.4 years old, and over half were of Hispanic ethnicity. As compared to usual care, PSQI global scores improved significantly in the exercise group (mean between-group difference -2.2; 95% CI -3.2 to -0.6). Change in PSQI was inversely associated with changes in all cardiometabolic biomarkers (p < 0.01) among the exercise group. Ethnicity was found to moderate the effects of exercise training on global sleep quality (p < 0.001). An aerobic and resistance exercise intervention effectively improved patient-reported sleep quality in breast cancer survivors. Hispanic ethnicity as a moderator showed greater improvement in patient-reported sleep indicating Hispanic versus non-Hispanic breast cancer survivors may derive larger sleep benefits. NCT01140282.

Associations of Dairy Intake with Circulating Biomarkers of Inflammation, Insulin Response, and Dyslipidemia among Postmenopausal Women

BackgroundCardiometabolic diseases are prevalent in aging Americans. Although some studies have implicated greater intake of dairy products, it is not clear how dairy intake is related to biomarkers of cardiometabolic health. ObjectiveOur aim was to test the hypothesis that associations of dairy foods with biomarkers of lipid metabolism, insulin-like growth factor signaling, and chronic inflammation may provide clues to understanding how dairy can influence cardiometabolic health. DesignThis was a cross-sectional study in the Women's Health Initiative using baseline food frequency questionnaire data to calculate dairy intake. Participants/settingParticipants were 35,352 postmenopausal women aged 50 to 79 years at 40 clinical centers in the United States. Main outcome measuresBaseline (1993-1998) concentrations of 20 circulating biomarkers were measured. Statistical analysesMultivariable-adjusted linear regression was used to estimate percent difference in biomarker concentrations per serving of total dairy and individual foods (milk, cheese, yogurt, butter, and low-fat varieties). ResultsLower triglyceride concentrations were associated with greater intake of total dairy (–0.8% [95% CI –1.2% to –0.3%]), mainly driven by full-fat varieties. Individual dairy foods had specific associations with circulating lipid components. For example, greater total milk intake was associated with lower concentrations of total cholesterol (–0.4% [95% CI –0.7% to –0.2%]) and high-density lipoprotein cholesterol (–0.5% [95% CI –0.9% to –0.1%]), whereas greater butter intake was associated with higher total cholesterol (0.6% [95% CI 0.2% to 1.0%]) and high-density lipoprotein cholesterol (1.6% [95% CI 1.1% to 2.0%]) concentrations. In contrast, higher total yogurt intake was associated with lower total cholesterol (–1.1% [95% CI –2.0% to –0.2%]) and higher high-density lipoprotein cholesterol (1.8% [95% CI 0.5% to 3.1%]). Greater total dairy intake (regardless of fat content), total cheese, full-fat cheese, and yogurt were consistently associated with lower concentrations of glucose, insulin, and C-reactive protein. However, milk and butter were not associated with these biomarkers. ConclusionsHigher dairy intake, except butter, was associated with a favorable profile of lipids, insulin response, and inflammatory biomarkers, regardless of fat content. Yet, specific dairy foods might influence these markers uniquely. Findings do not support a putative role of dairy in cardiometabolic diseases observed in some previous studies.