Associations between TCA cycle plasma metabolites and fatigue in black females with systemic lupus erythematosus: An untargeted metabolomics pilot study.

OBJECTIVE: In this pilot study, we used untargeted metabolomics to identify biochemical mechanisms or biomarkers potentially underlying SLE-related fatigue. METHODS: Metabolon conducted untargeted metabolomic plasma profiling using ultrahigh performance liquid chromatography/tandem mass spectrometry on plasma samples of 23 Black females with systemic lupus erythematosus (SLE) and 21 no SLE controls. Fatigue phenotypes of general fatigue, physical fatigue, mental fatigue, reduced activity, and reduced motivation were measured with the reliable and valid Multidimensional Fatigue Inventory (MFI). RESULTS: A total of 290 metabolites were significantly different between the SLE and no SLE groups, encompassing metabolites related to glycolysis, TCA cycle activity, heme catabolism, branched chain amino acids, fatty acid metabolism, and steroids. Within the SLE group, controlling for age and co-morbidities, TCA cycle metabolites of alpha-ketoglutarate (AKG) and succinate were statistically significantly associated (p < .05) with physical and general fatigue. CONCLUSION: While pervasive perturbations in the entire TCA cycle have been implicated as a potential mechanism for fatigue, our results suggest individual metabolites of AKG and succinate may be potential biomarkers or targets of intervention for fatigue symptom management in SLE. Additionally, perturbations in heme metabolism in the SLE group provide additional insights into mechanisms that promote systemic inflammation.

Factors related to cognitive performance among black caregivers of persons living with a chronic illness: An exploratory study.

This study investigated factors associated with cognitive performance among Black caregivers of persons living with two chronic conditions: dementia or cancer. Fifty-six Black caregivers of people living with dementia or cancer were recruited from clinic and community sources. Variables measured included: depression, anxiety, stress, sleep, fatigue, and caregiver burden. Cognitive performance was assessed using the Montreal Cognitive Assessment (MoCA). Descriptive statistics and non-parametric analyses were conducted to identify factors related to MoCA scores. Caregivers were 58.3 years of age and predominantly female. The average MoCA score was 25.23. Gender and education, along with positive appraisal of caregiving were significantly associated with cognitive performance. Several other factors approached significance including cohabitation with the care recipient, fatigue, and stress due to perceived individual and institutional racism. Our findings suggest several factors that warrant further investigation for understanding the relationship between caregiving and cognitive performance in Black caregivers of people living with cancer or dementia.

Longitudinal changes in diet quality and food intake before and after diabetes awareness in American adults: the Coronary Artery Risk Development in Young Adults (CARDIA) study.

INTRODUCTION: Limited longitudinal research is available examining how American adults make dietary changes after learning they have diabetes. We examined the associations between diabetes awareness and changes in dietary quality and food intake in a prospective cohort from the Coronary Artery Risk Development in Young Adults (CARDIA) study. RESEARCH DESIGN AND METHODS: A nested case-control design was used. In the original CARDIA study, black and white participants were recruited from four US urban areas and partitioned into one control group (no diabetes over 30-year follow-up) and three case groups (early-onset, intermediate-onset, later-onset diabetes groups) based on timing of diagnosis and first awareness of diabetes. Estimated mean A Priori Diet Quality Score (APDQS), and food subgroup intake were examined at three CARDIA examinations (year (Y)0, Y7, and Y20). The mean APDQS with 95% CIs and food intake (servings/day) were compared across the one control group and three case groups using exam-specific and repeated measures linear regression. RESULTS: Among 4576 participants (mean age: 25±4 years; 55% female; 49% black race), 653 incident cases (14.3%) of diabetes were observed over 30 years. APDQS was lowest at Y0 when the diabetes-free participants were aged 18-30 years (61.5-62.8), but increased over 20 years with advancing age across all groups (64.6-73.3). Lower APDQS in young adulthood was associated with a higher incidence of diabetes later in life. Diabetes awareness was associated with a net increase of 2.95 points in APDQS. The greatest increase of APDQS was when people learned of their diabetes for the first time (an increase of 5.71 in early-onset and 6.64 in intermediate-onset diabetes groups, respectively). CONCLUSIONS: Advancing age and diabetes awareness were associated with more favorable dietary changes leading to improved diet quality. Optimal diet quality and healthy food intake in young adulthood seem important to prevent diabetes later in life.

Metabolomic signatures of ideal cardiovascular health in black adults.

Plasma metabolomics profiling is an emerging methodology to identify metabolic pathways underlying cardiovascular health (CVH). The objective of this study was to define metabolomic profiles underlying CVH in a cohort of Black adults, a population that is understudied but suffers from disparate levels of CVD risk factors. The Morehouse-Emory Cardiovascular (MECA) Center for Health Equity study cohort consisted of 375 Black adults (age 53 ± 10, 39% male) without known CVD. CVH was determined by the AHA Life's Simple 7 (LS7) score, calculated from measured blood pressure, body mass index (BMI), fasting blood glucose and total cholesterol, and self-reported physical activity, diet, and smoking. Plasma metabolites were assessed using untargeted high-resolution metabolomics profiling. A metabolome wide association study (MWAS) identified metabolites associated with LS7 score after adjusting for age and sex. Using Mummichog software, metabolic pathways that were significantly enriched in metabolites associated with LS7 score were identified. Metabolites representative of these pathways were compared across clinical domains of LS7 score and then developed into a metabolomics risk score for prediction of CVH. We identified novel metabolomic signatures and pathways associated with CVH in a cohort of Black adults without known CVD. Representative and highly prevalent metabolites from these pathways included glutamine, glutamate, urate, tyrosine and alanine, the concentrations of which varied with BMI, fasting glucose, and blood pressure levels. When assessed in conjunction, these metabolites were independent predictors of CVH. One SD increase in the novel metabolomics risk score was associated with a 0.88 higher LS7 score, which translates to a 10.4% lower incident CVD risk. We identified novel metabolomic signatures of ideal CVH in a cohort of Black Americans, showing that a core group of metabolites central to nitrogen balance, bioenergetics, gluconeogenesis, and nucleotide synthesis were associated with CVH in this population.