SMIM1 absence is associated with reduced energy expenditure and excess weight.

BACKGROUND: Obesity rates have nearly tripled in the past 50 years, and by 2030 more than 1 billion individuals worldwide are projected to be obese. This creates a significant economic strain due to the associated non-communicable diseases. The root cause is an energy expenditure imbalance, owing to an interplay of lifestyle, environmental, and genetic factors. Obesity has a polygenic genetic architecture; however, single genetic variants with large effect size are etiological in a minority of cases. These variants allowed the discovery of novel genes and biology relevant to weight regulation and ultimately led to the development of novel specific treatments. METHODS: We used a case-control approach to determine metabolic differences between individuals homozygous for a loss-of-function genetic variant in the small integral membrane protein 1 (SMIM1) and the general population, leveraging data from five cohorts. Metabolic characterization of SMIM1-/- individuals was performed using plasma biochemistry, calorimetric chamber, and DXA scan. FINDINGS: We found that individuals homozygous for a loss-of-function genetic variant in SMIM1 gene, underlying the blood group Vel, display excess body weight, dyslipidemia, altered leptin to adiponectin ratio, increased liver enzymes, and lower thyroid hormone levels. This was accompanied by a reduction in resting energy expenditure. CONCLUSION: This research identified a novel genetic predisposition to being overweight or obese. It highlights the need to investigate the genetic causes of obesity to select the most appropriate treatment given the large cost disparity between them. FUNDING: This work was funded by the National Institute of Health Research, British Heart Foundation, and NHS Blood and Transplant.

Racial and Ethnic Differences in Short- and Long-term Mortality by Stroke Type.

BACKGROUND AND OBJECTIVES: Racial and ethnic disparities in stroke outcomes exist, however differences by stroke type are less understood. We studied the association of race and ethnicity with stroke mortality, by stroke type, in a national sample of hospitalized patients in the Veterans Health Administration. METHODS: A retrospective observational study was performed including non-Hispanic White, non-Hispanic Black, and Hispanic patients with a first hospitalization for stroke between 2002 and 2012. Stroke was determined using International Classification of Diseases-Ninth Revision codes, and date of death was obtained from the National Death Index. For each of acute ischemic stroke (AIS), intracerebral hemorrhage (ICH), and subarachnoid hemorrhage (SAH), we constructed a piecewise multivariable model for all-cause mortality, using follow-up intervals of ≤30 days, 31-90 days, 91 days-1 year, and >1 year. RESULTS: Among 37,790 stroke patients (89% AIS, 9% ICH, 2% SAH), 25,492 (67%) were non-Hispanic White, 9,752 (26%) were non-Hispanic Black, and 2,546 (7%) were Hispanic. The cohort was predominantly male (98%). Compared to White patients, Black patients experienced better 30-day survival after AIS (HR=0.80, 95% CI 0.73-0.88; 1.4% risk difference) and worse 30-day survival after ICH (HR=1.24, 95% CI 1.06-1.44; 3.2% risk difference). Hispanic patients experienced reduced risk for >1-year mortality after AIS (HR=0.87, 95% CI 0.80-0.94), but had greater risk of 30-day mortality after SAH compared to White patients (HR=1.61, 95% CI 1.03-2.52; 10.3% risk difference). DISCUSSION: In our study, absolute risk of 30-day mortality after ICH was 3.2% higher for Black patients and after SAH was 10.3% higher for Hispanic patients, compared to White patients. These findings underscore the importance of investigating stroke outcomes by stroke type, to better understand the factors driving observed racial and ethnic disparities.

Heart Disease and Stroke Statistics-2021 Update: A Report From the American Heart Association.

BACKGROUND: The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS: The American Heart Association, through its Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update. The 2021 Statistical Update is the product of a full year's worth of effort by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. This year's edition includes data on the monitoring and benefits of cardiovascular health in the population, an enhanced focus on social determinants of health, adverse pregnancy outcomes, vascular contributions to brain health, the global burden of cardiovascular disease, and further evidence-based approaches to changing behaviors related to cardiovascular disease. RESULTS: Each of the 27 chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS: The Statistical Update represents a critical resource for the lay public, policy makers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.

Optimization of resources and modifications in acute ischemic stroke care in response to the global COVID-19 pandemic.

BACKGROUND: The COVID-19 pandemic has presented unprecedented challenges to healthcare organizations worldwide. A steadily rising number of patients requiring intensive care, a large proportion from racial and ethnic minorities, demands creative solutions to provide high-quality care while ensuring healthcare worker safety in the face of limited resources. Boston Medical Center has been particularly affected due to the underserved patient population we care for and the increased risk of ischemic stroke in patients with COVID-19 infection. METHODS: We present protocol modifications developed to manage patients with acute ischemic stroke in a safe and effective manner while prioritizing judicious use of personal protective equipment and intensive care unit resources. CONCLUSION: We feel this information will benefit other organizations facing similar obstacles in caring for the most vulnerable patient populations during this ongoing public health crisis.

Assessment of Incidence and Risk Factors of Intracerebral Hemorrhage Among Participants in the Framingham Heart Study Between 1948 and 2016.

Importance: Intracerebral hemorrhage (ICH) has the highest mortality of all stroke types and is the most serious complication of anticoagulation. Data regarding trends in ICH incidence and location-specific risk factors on the population level are conflicting. Objective: To assess long-term population-based trends in the incidence of ICH, examine incidence rates stratified by deep and lobar locations, and characterize location-specific risk factors. Design, Setting, and Participants: This longitudinal prospective community-based cohort study comprised 10 333 original participants (n = 5209; age range, 28-62 years) and offspring participants (n = 5124; age range, 5-70 years) from the Framingham Heart Study who were followed up from January 1, 1948, to December 31, 2016. Original and offspring patient cohorts were confirmed to have experienced a spontaneous ICH event through imaging or pathologic testing. A total of 129 participants were identified with a primary incident of ICH. After exclusions, the remaining 99 patients were divided into 2 nested case-control samples, which were created by stratifying the first incident of ICH by brain region (lobar ICH or deep ICH), with 55 patients included in the lobar ICH sample and 44 patients included in the deep ICH sample. Patients were matched by age and sex (1:4 ratio) with 396 individuals without any stroke event (the control group). No participant in the patient samples was excluded or approached for consent, as their initial consent to participate in the Framingham Heart Study included consent to follow-up of cardiovascular outcomes. Data were analyzed in October 2019. Main Outcomes and Measures: The unadjusted and age-adjusted ICH incidence rates, assessed in 3 periods (period 1, from 1948-1986; period 2, from 1987-1999; and period 3, from 2000-2016) to study incidence trends. Nested case-control samples were used to examine baseline risk factors and medication exposures with the incidence of ICH events located in the lobar and deep brain regions within the 10 years before participants experienced a stroke event. Results: Of 10 333 original and offspring participants in the Framingham Heart Study, 129 patients (72 women [55.8%]; mean [SD] age, 77 [11] years) experienced a primary ICH incident during a follow-up period of 68 years (301 282 person-years), with an incidence rate of 43 cases per 100 000 person-years. The unadjusted incidence rate increased over time, but the age-adjusted incidence rate decreased slightly between periods 2 and 3. An age-stratified analysis indicated a continued increase in ICH incidence among patients 75 years and older, reaching 176 cases per 100 000 person-years in period 3. A concurrent 3-fold increase in the use of anticoagulant medications was observed, from 4.4% in period 2 to 13.9% in period 3. The incidence rate increased substantially with age for both lobar and deep ICH. Higher systolic and diastolic blood pressure and statin medication use (odds ratio [OR], 4.07; 95% CI, 1.16-14.21; P = .03) were associated with the incidence of deep ICH. Higher systolic blood pressure and apolipoprotein E ε4 allele homozygosity (OR, 3.66; 95% CI, 1.28-10.43; P = .02) were associated with the incidence of lobar ICH. Conclusions and Relevance: This study found that the incidence of ICH increased in the oldest patients. Hypertension is a treatable risk factor for both deep and lobar ICH, while the use of statin medications is associated with the risk of a deep ICH event.

Assessment of Plasma Total Tau Level as a Predictive Biomarker for Dementia and Related Endophenotypes.

Importance: Blood-based biomarkers have the potential to improve the identification of persons with the greatest dementia risk for inclusion in dementia prevention trials through low-cost and minimally invasive screening. Objective: To investigate the use of plasma total tau as a blood biomarker for dementia and related endophenotypes. Design, Setting, and Participants: This prospective cohort study used data from the US community-based Framingham Heart Study with replication in the Memento study, a multicenter cohort of persons with mild cognitive impairment or subjective cognitive complaints recruited from memory clinics across France. Total tau levels were measured from stored plasma samples in Framingham Heart Study participants during 2004 to 2011. Dementia follow-up occurred across a median of 6 years (interquartile range, 5-8 years) for persons 65 years and older who were dementia free at baseline. Plasma and/or cerebrospinal fluid samples were obtained from Memento study participants from April 19, 2011, to June 22, 2016. Dementia follow-up took place over a median of 4 years (interquartile range, 3-5 years). Data analysis was performed from January to November 2018. Exposures: Plasma total tau level measured using single-molecule array technology. Main Outcomes and Measures: Incidence of dementia of any cause (all dementia) and dementia due to clinical Alzheimer disease (AD dementia). Results: Among the 1453 participants in the Framingham dementia study sample, the mean (SD) age was 75 (7) years; 792 (54.5%) were female. Among the 367 individuals in the replication cohort, the mean (SD) age was 69 (9) years; 217 (59.1%) were female. Of 134 cases of incident all dementia in the Framingham sample, 105 were AD dementia. After adjustment for age and sex, each SD unit increase in the log of plasma total tau level was associated with a 35% increase in AD dementia risk (hazard ratio [HR], 1.35; 95% CI, 1.10-1.67). The addition of plasma total tau to a model including age and sex improved the stratification of participants for risk of AD dementia (net reclassification improvement, 0.382; 95% CI, 0.030-0.716). Higher plasma total tau level was associated with poorer cognition across 7 cognitive tasks (P < .05) and smaller hippocampi (hippocampal volume: ß [SE] = 0.002 [0.001]; P = .003) as well as neurofibrillary tangles (ß [SE] = 0.95 [0.45]; P = .04) and microinfarcts (odds ratio, 3.04; 95% CI, 1.26-7.37) at autopsy. In the replication cohort, plasma total tau level weakly correlated with cerebrospinal fluid total tau level (Spearman correlation coefficient, 0.16; P = .07), but plasma total tau was at least as strongly associated with incident AD dementia as cerebrospinal fluid total tau (log plasma total tau: HR, 2.33; 95% CI, 1.00-5.48; log cerebrospinal fluid total tau: HR, 2.14; 95% CI, 1.33-3.44) after adjustment for age and sex. Conclusions and Relevance: The findings suggest that plasma total tau levels may improve the prediction of future dementia, are associated with dementia endophenotypes, and may be used as a biomarker for risk stratification in dementia prevention trials.

Vascular risk at younger ages most strongly associates with current and future brain volume.

OBJECTIVE: Given the potential therapeutic effect of vascular disease control timing to reduce dementia risk, we investigated the age-related influences of vascular risk factor burden on brain structure throughout the lifespan. METHODS: We studied participants from the community-based prospective Framingham Heart Study. Overall vascular risk factor burden was calculated according to the Framingham Stroke Risk Profile, a validated algorithm that predicts stroke risk. Brain volume was estimated by MRI. We used cross-sectional data to examine how the strength of association between vascular risk factor burden and brain volume changed across each age decade from age 45-54 years through to 85-94 years (N = 2,887). Second, we leveraged up to 40 years of longitudinal data to determine how the strength of association between vascular risk factor burden and brain volume changed when vascular risk factors were examined at progressively earlier ages (N = 7,868). RESULTS: In both cross-sectional and longitudinal analyses, higher vascular risk factor burden was associated with lower brain volume across each age decade. In the cross-sectional analysis, the strength of this association decreased with each decade of advancing age (p for trend < 0.0001). In longitudinal analysis, the strength of association between vascular risk factor burden and brain volume was stronger when vascular risk factors were measured at younger ages. For example, vascular risk factor burden was most strongly associated with lower brain volume in later life when vascular risk factors were measured at age 45 years. CONCLUSION: Vascular risk factors at younger ages appear to have detrimental effects on current and future brain volume.

Association of Ideal Cardiovascular Health With Vascular Brain Injury and Incident Dementia.

BACKGROUND AND PURPOSE: The American Heart Association developed the ideal cardiovascular health (CVH) index as a simple tool to promote CVH; yet, its association with brain atrophy and dementia remains unexamined. METHODS: Our aim was to investigate the prospective association of ideal CVH with vascular brain injury, including the 10-year risks of incident stroke and dementia, as well as cognitive decline and brain atrophy on magnetic resonance imaging, measured for ≈7 years. We studied 2750 stroke- and dementia-free Framingham Heart Study Offspring cohort participants (mean age, 62±9 years; 45% men). Ideal CVH was quantified on a 7-point scale with 1 point awarded for each of the following: nonsmoking status, ideal body mass index, regular physical activity, healthy diet, as well as optimum blood pressure, cholesterol, and fasting blood glucose. Both recent (baseline) and remote (6.9 years earlier) ideal CVH scores were examined. RESULTS: Recent ideal CVH was associated with stroke (hazard ratio, 0.80; 95% confidence interval, 0.67-0.95), vascular dementia (hazard ratio, 0.49; 95% confidence interval, 0.30-0.81), frontal brain atrophy (P=0.003), and cognitive decline on tasks measuring visual memory and reasoning (P<0.05). In addition to predicting stroke, vascular dementia, whole-brain atrophy, and cognitive decline, remote ideal CVH was associated with the incidence of all-cause dementia (hazard ratio, 0.80; 95% confidence interval, 0.67-0.97) and Alzheimer disease (hazard ratio, 0.79; 95% confidence interval, 0.64-0.98). CONCLUSIONS: Adherence to the American Heart Association's ideal CVH factors and behaviors, particularly in midlife, may protect against cerebrovascular disease and dementia.

Racial Disparities in Intravenous Recombinant Tissue Plasminogen Activator Use Persist at Primary Stroke Centers.

BACKGROUND: Primary stroke centers (PSCs) utilize more recombinant tissue plasminogen activator (rt-PA) than non-PSCs. The impact of PSCs on racial disparities in rt-PA use is unknown. METHODS AND RESULTS: We used data from the Nationwide Inpatient Sample from 2004 to 2010, limited to states that publicly reported hospital identity and race. Hospitals certified as PSCs by The Joint Commission were identified. Adults with a diagnosis of ischemic stroke were analyzed. Rt-PA use was defined by the International Classification of Diseases, 9th Revision procedure code 99.10. Discharges (304 152 patients) from 26 states met eligibility criteria, and of these 71.5% were white, 15.0% black, 7.9% Hispanic, and 5.6% other. Overall, 24.7% of white, 27.4% of black, 16.2% of Hispanic, and 29.8% of other patients presented to PSCs. A higher proportion received rt-PA at PSCs than non-PSCs in all race/ethnic groups (white 7.6% versus 2.6%, black 4.8% versus 2.0%, Hispanic 7.1% versus 2.4%, other 7.2% versus 2.5%, all P<0.001). In a multivariable model adjusting for year, age, sex, insurance, medical comorbidities, a diagnosis-related group-based mortality risk indicator, ZIP code median income, and hospital characteristics, blacks were less likely to receive rt-PA than whites at non-PSCs (odds ratio=0.58, 95% CI 0.50 to 0.67) and PSCs (odds ratio=0.63, 95% CI 0.54 to 0.74) and Hispanics were less likely than whites to receive rt-PA at PSCs (odds ratio=0.77, 95% CI: 0.63 to 0.95). In the fully adjusted model, interaction between race and presentation to a PSC for likelihood of receiving rt-PA did not reach significance (P=0.98). CONCLUSIONS: Racial disparities in intravenous rt-PA use were not reduced by presentation to PSCs. Black patients were less likely to receive thrombolytic treatment than white patients at both non-PSCs and PSCs. Hispanic patients were less likely to be seen at PSCs relative to white patients and were less likely to receive intravenous rt-PA in the fully adjusted model.