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Epidemiological profile and north-south gradient driving baseline systemic involvement of primary Sjögren's syndrome.
Brito-Zerón, P, Acar-Denizli, N, Ng, WF, Horváth, IF, Rasmussen, A, Seror, R, Li, X, Baldini, C, Gottenberg, JE, Danda, D, et al
Rheumatology (Oxford, England). 2020;(9):2350-2359
Abstract
OBJECTIVE To characterize the systemic phenotype of primary Sjögren's syndrome at diagnosis by analysing the EULAR-SS disease activity index (ESSDAI) scores. METHODS The Sjögren Big Data Consortium is an international, multicentre registry based on worldwide data-sharing cooperative merging of pre-existing databases from leading centres in clinical research in Sjögren's syndrome from the five continents. RESULTS The cohort included 10 007 patients (9352 female, mean 53 years) with recorded ESSDAI scores available. At diagnosis, the mean total ESSDAI score was 6.1; 81.8% of patients had systemic activity (ESSDAI score ≥1). Males had a higher mean ESSDAI (8.1 vs 6.0, P < 0.001) compared with females, as did patients diagnosed at <35 years (6.7 vs 5.6 in patients diagnosed at >65 years, P < 0.001). The highest global ESSDAI score was reported in Black/African Americans, followed by White, Asian and Hispanic patients (6.7, 6.5, 5.4 and 4.8, respectively; P < 0.001). The frequency of involvement of each systemic organ also differed between ethnic groups, with Black/African American patients showing the highest frequencies in the lymphadenopathy, articular, peripheral nervous system, CNS and biological domains, White patients in the glandular, cutaneous and muscular domains, Asian patients in the pulmonary, renal and haematological domains and Hispanic patients in the constitutional domain. Systemic activity measured by the ESSDAI, clinical ESSDAI (clinESSDAI) and disease activity states was higher in patients from southern countries (P < 0.001). CONCLUSION The systemic phenotype of primary Sjögren's syndrome is strongly influenced by personal determinants such as age, gender, ethnicity and place of residence, which are key geoepidemiological players in driving the expression of systemic disease at diagnosis.
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Determinants of cognitive performance and decline in 20 diverse ethno-regional groups: A COSMIC collaboration cohort study.
Lipnicki, DM, Makkar, SR, Crawford, JD, Thalamuthu, A, Kochan, NA, Lima-Costa, MF, Castro-Costa, E, Ferri, CP, Brayne, C, Stephan, B, et al
PLoS medicine. 2019;(7):e1002853
Abstract
BACKGROUND With no effective treatments for cognitive decline or dementia, improving the evidence base for modifiable risk factors is a research priority. This study investigated associations between risk factors and late-life cognitive decline on a global scale, including comparisons between ethno-regional groups. METHODS AND FINDINGS We harmonized longitudinal data from 20 population-based cohorts from 15 countries over 5 continents, including 48,522 individuals (58.4% women) aged 54-105 (mean = 72.7) years and without dementia at baseline. Studies had 2-15 years of follow-up. The risk factors investigated were age, sex, education, alcohol consumption, anxiety, apolipoprotein E ε4 allele (APOE*4) status, atrial fibrillation, blood pressure and pulse pressure, body mass index, cardiovascular disease, depression, diabetes, self-rated health, high cholesterol, hypertension, peripheral vascular disease, physical activity, smoking, and history of stroke. Associations with risk factors were determined for a global cognitive composite outcome (memory, language, processing speed, and executive functioning tests) and Mini-Mental State Examination score. Individual participant data meta-analyses of multivariable linear mixed model results pooled across cohorts revealed that for at least 1 cognitive outcome, age (B = -0.1, SE = 0.01), APOE*4 carriage (B = -0.31, SE = 0.11), depression (B = -0.11, SE = 0.06), diabetes (B = -0.23, SE = 0.10), current smoking (B = -0.20, SE = 0.08), and history of stroke (B = -0.22, SE = 0.09) were independently associated with poorer cognitive performance (p < 0.05 for all), and higher levels of education (B = 0.12, SE = 0.02) and vigorous physical activity (B = 0.17, SE = 0.06) were associated with better performance (p < 0.01 for both). Age (B = -0.07, SE = 0.01), APOE*4 carriage (B = -0.41, SE = 0.18), and diabetes (B = -0.18, SE = 0.10) were independently associated with faster cognitive decline (p < 0.05 for all). Different effects between Asian people and white people included stronger associations for Asian people between ever smoking and poorer cognition (group by risk factor interaction: B = -0.24, SE = 0.12), and between diabetes and cognitive decline (B = -0.66, SE = 0.27; p < 0.05 for both). Limitations of our study include a loss or distortion of risk factor data with harmonization, and not investigating factors at midlife. CONCLUSIONS These results suggest that education, smoking, physical activity, diabetes, and stroke are all modifiable factors associated with cognitive decline. If these factors are determined to be causal, controlling them could minimize worldwide levels of cognitive decline. However, any global prevention strategy may need to consider ethno-regional differences.
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Genomic evidence for shared common ancestry of East African hunting-gathering populations and insights into local adaptation.
Scheinfeldt, LB, Soi, S, Lambert, C, Ko, WY, Coulibaly, A, Ranciaro, A, Thompson, S, Hirbo, J, Beggs, W, Ibrahim, M, et al
Proceedings of the National Academy of Sciences of the United States of America. 2019;(10):4166-4175
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Abstract
Anatomically modern humans arose in Africa ∼300,000 years ago, but the demographic and adaptive histories of African populations are not well-characterized. Here, we have generated a genome-wide dataset from 840 Africans, residing in western, eastern, southern, and northern Africa, belonging to 50 ethnicities, and speaking languages belonging to four language families. In addition to agriculturalists and pastoralists, our study includes 16 populations that practice, or until recently have practiced, a hunting-gathering (HG) lifestyle. We observe that genetic structure in Africa is broadly correlated not only with geography, but to a lesser extent, with linguistic affiliation and subsistence strategy. Four East African HG (EHG) populations that are geographically distant from each other show evidence of common ancestry: the Hadza and Sandawe in Tanzania, who speak languages with clicks classified as Khoisan; the Dahalo in Kenya, whose language has remnant clicks; and the Sabue in Ethiopia, who speak an unclassified language. Additionally, we observed common ancestry between central African rainforest HGs and southern African San, the latter of whom speak languages with clicks classified as Khoisan. With the exception of the EHG, central African rainforest HGs, and San, other HG groups in Africa appear genetically similar to neighboring agriculturalist or pastoralist populations. We additionally demonstrate that infectious disease, immune response, and diet have played important roles in the adaptive landscape of African history. However, while the broad biological processes involved in recent human adaptation in Africa are often consistent across populations, the specific loci affected by selective pressures more often vary across populations.
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Ethnic and genetic factors of iron status in women of reproductive age.
Gordeuk, VR, Brannon, PM
The American journal of clinical nutrition. 2017;(Suppl 6):1594S-1599S
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Abstract
Background: African Americans are at increased risk of iron deficiency (ID) but also have higher serum ferritin (SF) concentrations than those of the general population. The Hemochromatosis and Iron Overload Screening (HEIRS) Study was a multicenter study of ethnically diverse participants that tested for the hemochromatosis (HFE) C282Y genotype and iron status.Objective: We sought to determine the prevalence and predictors of ID (SF concentration ≤15 μg/L) and elevated iron stores (SF concentration >300 μg/L) in HEIRS women of reproductive age (25-44 y).Design: The HEIRS Study was a cross-sectional study of iron status and HFE mutations in primary care patients at 5 centers in the United States and Canada. We analyzed data for women of reproductive age according to whether or not they were pregnant or breastfeeding at the time of the study.Results: ID was present in 12.5% of 20,080 nonpregnant and nonbreastfeeding women compared with 19.2% of 1962 pregnant or breastfeeding women (P < 0.001). Asian American ethnicity (OR ≤0.9; P ≤ 0.049) and HFE C282Y (OR ≤0.84; P ≤ 0.060) were independently associated with a decreased risk of ID in nonpregnant and nonbreastfeeding women and in pregnant or breastfeeding women. Hispanic ethnicity (OR: 1.8; P < 0.001) and African American ethnicity (OR: 1.6; P < 0.001) were associated with an increased risk of ID in nonpregnant and nonbreastfeeding women. Elevated iron stores were shown in 1.7% of nonpregnant and nonbreastfeeding women compared with 0.7% of pregnant or breastfeeding women (P = 0.001). HFE C282Y homozygosity had the most marked independent association with elevated iron stores in nonpregnant and nonbreastfeeding women and in pregnant or breastfeeding women (OR >49.0; P < 0.001), but African American ethnicity was also associated with increased iron stores in both groups of women (OR >2.0; P < 0.001). Asian American ethnicity (OR: 1.8; P = 0.001) and HFE C282Y heterozygosity (OR: 1.9; P = 0.003) were associated with increased iron stores in nonpregnant and nonbreastfeeding women.Conclusions: Both ID and elevated iron stores are present in women of reproductive age and are influenced by ethnicity and HFE C282Y. Efforts to optimize iron status should keep these findings in view. This study was registered at clinicaltrials.gov as NCT03276247.