Introduction
Observational studies have shown that body mass index (BMI) and waist‐to‐hip ratio (WHR) are both inversely associated with lung function, as assessed by forced vital capacity (FVC) and ...forced expiratory volume in 1 s (FEV1). However, observational data are susceptible to confounding and reverse causation.
Methods
We selected genetic instruments based on their relevant large‐scale genome‐wide association studies. Summary statistics of lung function and asthma came from the UK Biobank and SpiroMeta Consortium meta‐analysis (n = 400,102). After examining pleiotropy and removing outliers, we applied inverse‐variance weighting to estimate the causal association of BMI and BMI‐adjusted WHR (WHRadjBMI) with FVC, FEV1, FEV1/FVC, and asthma. Sensitivity analyses were performed using weighted median, MR‐Egger, and MRlap methods.
Results
We found that BMI was inversely associated with FVC (effect estimate, −0.167; 95% confidence interval (CI), −0.203 to −0.130) and FEV1 (effect estimate, −0.111; 95%CI, −0.149 to −0.074). Higher BMI was associated with higher FEV1/FVC (effect estimate, 0.079; 95%CI, 0.049 to 0.110) but was not significantly associated with asthma. WHRadjBMI was inversely associated with FVC (effect estimate, −0.132; 95%CI, −0.180 to −0.084) but has no significant association with FEV1. Higher WHR was associated with higher FEV1/FVC (effect estimate, 0.181; 95%CI, 0.130 to 0.232) and with increased risk of asthma (effect estimate, 0.027; 95%CI, 0.001 to 0.053).
Conclusion
We found significant evidence that increased BMI is suggested to be causally related to decreased FVC and FEV1, and increased BMI‐adjusted WHR could lead to lower FVC value and higher risk of asthma. Higher BMI and BMI‐adjusted WHR were suggested to be causally associated with higher FEV1/FVC.
Genome-wide association studies (GWAS) have identified numerous loci influencing cross-sectional lung function, but less is known about genes influencing longitudinal change in lung function.
We ...performed GWAS of the rate of change in forced expiratory volume in the first second (FEV1) in 14 longitudinal, population-based cohort studies comprising 27,249 adults of European ancestry using linear mixed effects model and combined cohort-specific results using fixed effect meta-analysis to identify novel genetic loci associated with longitudinal change in lung function. Gene expression analyses were subsequently performed for identified genetic loci. As a secondary aim, we estimated the mean rate of decline in FEV1 by smoking pattern, irrespective of genotypes, across these 14 studies using meta-analysis.
The overall meta-analysis produced suggestive evidence for association at the novel IL16/STARD5/TMC3 locus on chromosome 15 (P = 5.71 × 10(-7)). In addition, meta-analysis using the five cohorts with ≥3 FEV1 measurements per participant identified the novel ME3 locus on chromosome 11 (P = 2.18 × 10(-8)) at genome-wide significance. Neither locus was associated with FEV1 decline in two additional cohort studies. We confirmed gene expression of IL16, STARD5, and ME3 in multiple lung tissues. Publicly available microarray data confirmed differential expression of all three genes in lung samples from COPD patients compared with controls. Irrespective of genotypes, the combined estimate for FEV1 decline was 26.9, 29.2 and 35.7 mL/year in never, former, and persistent smokers, respectively.
In this large-scale GWAS, we identified two novel genetic loci in association with the rate of change in FEV1 that harbor candidate genes with biologically plausible functional links to lung function.
Abstract
Clinic-based, case-control studies linked sleep-disordered breathing (SDB) to markers of endothelial dysfunction. We attempted to validate this association in a large community-based sample, ...and evaluate the relation of SDB to arterial diameter and peripheral blood flow. This community-based, cross-sectional observational study included 327 men and 355 women, aged 42–83 years, from the Framingham Heart Study site of the Sleep Heart Health Study. The polysomnographically derived apnea-hypopnea index and the hypoxemia index (percent sleep time with oxyhemoglobin saturation below 90%) were used to quantify the severity of SDB. Brachial artery ultrasound measurements included baseline diameter, percent flow-mediated dilation, and baseline and hyperemic flow velocity and volume. The baseline brachial artery diameter was significantly associated with both the apnea-hypopnea index and the hypoxemia index. The association was diminished by adjustment for body mass index, but remained significant for the apnea-hypopnea index. Age-, sex-, race- and body mass index-adjusted mean diameters were 4.32, 4.33, 4.33, 4.56, 4.53 mm for those with apnea-hypopnea index < 1.5, 1.5–4.9, 5–14.9, 15–29.9, ≥ 30, respectively; p = 0.03. Baseline flow measures were associated with the apnea-hypopnea index but this association was non-significant after adjusting for body mass index. No significant association was observed between measures of SDB and percent flow-mediated dilation or hyperemic flow in any model. In conclusion, this study supports a moderate association of SDB and larger baseline brachial artery diameter, which may reflect SDB-induced vascular remodeling. This study does not support a link between SDB and endothelial dysfunction as measured by brachial artery flow-mediated dilation.
SARS-CoV-2 within-host diversity and transmission Lythgoe, Katrina A; Hall, Matthew; Ferretti, Luca ...
Science (American Association for the Advancement of Science),
04/2021, Letnik:
372, Številka:
6539
Journal Article
Recenzirano
Odprti dostop
Extensive global sampling and sequencing of the pandemic virus severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have enabled researchers to monitor its spread and to identify concerning ...new variants. Two important determinants of variant spread are how frequently they arise within individuals and how likely they are to be transmitted. To characterize within-host diversity and transmission, we deep-sequenced 1313 clinical samples from the United Kingdom. SARS-CoV-2 infections are characterized by low levels of within-host diversity when viral loads are high and by a narrow bottleneck at transmission. Most variants are either lost or occasionally fixed at the point of transmission, with minimal persistence of shared diversity, patterns that are readily observable on the phylogenetic tree. Our results suggest that transmission-enhancing and/or immune-escape SARS-CoV-2 variants are likely to arise infrequently but could spread rapidly if successfully transmitted.
Phosphodiesterase type 4 (PDE4) enzymes specifically hydrolyse cAMP in many cell signalling systems that are transduced by hormones and other primary messengers. The physiological function of the ...four PDE4 subfamilies (A, B, C and D) are numerous and varied due to the differentially localised plethora of isoforms that can be detected in cardiovascular, CNS and immune systems. Of the four subfamilies, least is known about PDE4C probably due to its restricted distribution pattern, scarcity of selective inhibitors and the lack of developed research tools. Here, for the first time, we chart the discovery of PDE4C, describe its regulation and highlight cancers where future development of PDE4C selective small molecules may have potential.
Lassa fever is endemic in several west African countries. Case-fatality rates ranging from 21% to 69% have been reported. The pathophysiology of the disease in humans and determinants of mortality ...remain poorly understood. We aimed to determine host protein biomarkers capable of determining disease outcome.
In this observational study, we analysed left-over blood samples from patients who tested positive for Lassa fever at Irrua Specialist Teaching Hospital, Nigeria, between January, 2014, and April, 2017. We measured viral load, concentrations of clinical chemistry parameters, and levels of 62 circulating proteins involved in inflammation, immune response, and haemostasis. Patients with a known outcome (survival or death) and at least 200 μL of good-quality diagnostic sample were included in logistic regression modelling to assess the correlation of parameters with Lassa fever outcome. Individuals who gave consent could further be enrolled into a longitudinal analysis to assess the association of parameters with Lassa fever outcome over time. Participants were divided into two datasets for the statistical analysis: a primary dataset (samples taken between Jan 1, 2014, and April 1, 2016), and a secondary dataset (samples taken between April 1, 2016, and April 1, 2017). Biomarkers were ranked by area under the receiver operating characteristic curve (AUC) from highest (most predictive) to lowest (least predictive).
Of 554 patients who tested positive for Lassa fever during the study period, 201 (131 in the primary dataset and 70 in the secondary dataset) were included in the biomarker analysis, of whom 74 (49 in the primary dataset and 25 in the secondary dataset) had died and 127 (82 in the primary dataset and 45 in the secondary dataset) had survived. Cycle threshold values (indicating viral load) and levels of 18 host proteins at the time of admission to hospital were significantly correlated with fatal outcome. The best predictors of outcome in both datasets were plasminogen activator inhibitor-1 (PAI-1; AUC 0·878 in the primary dataset and 0·876 in the secondary dataset), soluble thrombomodulin (TM; 0·839 in the primary dataset and 0·875 in the secondary dataset), and soluble tumour necrosis factor receptor superfamily member 1A (TNF-R1; 0·807 in the primary dataset and 0·851 in the secondary dataset), all of which had higher prediction accuracy than viral load (0·774 in the primary dataset and 0·837 in the secondary dataset). Longitudinal analysis (150 patients, of whom 36 died) showed that of the biomarkers that were predictive at admission, PAI-1 levels consistently decreased to normal levels in survivors but not in those who died.
The identification of PAI-1 and soluble TM as markers of fatal Lassa fever at admission, and of PAI-1 as a marker of fatal Lassa fever over time, suggests that dysregulated coagulation and fibrinolysis and endothelial damage have roles in the pathophysiology of Lassa fever, providing a mechanistic explanation for the association of Lassa fever with oedema and bleeding. These novel markers might aid in clinical risk stratification and disease monitoring.
German Research Foundation, Leibniz Association, and US National Institutes of Health.
BACKGROUND: Greater central adiposity is related to the risk of diabetes. OBJECTIVE: We aimed to test the hypothesis that central adiposity measured by computed tomography (CT) is a better predictor ...of the risk of diabetes than is body mass index (BMI), waist circumference (WC), waist/hip ratio (WHR), or waist/height ratio. DESIGN: Visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT) were measured at the L2-3 and L4-5 disc spaces in 1106 of the 3234 participants in the Diabetes Prevention Program. Sex-specific proportional hazards models were used to evaluate the association between VAT and SAT at both cuts, BMI, and other measures of central adiposity as predictors of the development of diabetes. RESULTS: Men had more VAT than did women. White subjects had more VAT at both cuts than did other ethnic groups. The ratio of VAT to SAT was lowest in African Americans of both sexes. Among men in the placebo group, VAT at both cuts, WC, BMI, waist/height ratio, and WHR predicted diabetes (hazard ratio: 1.79-1.44 per 1 SD of variable). Among women in the lifestyle group, VAT at both cuts predicted diabetes as well as did BMI, and L2-3 was a significantly better predictor than was WC or WHR. SAT did not predict diabetes. None of the body fat measurements predicted diabetes in the metformin group. CONCLUSIONS: In the placebo and lifestyle groups, VAT at both cuts, WHR, and WC predicted diabetes. No measure predicted diabetes in the metformin group. CT provided no important advantage over these simple measures. SAT did not predict diabetes.
PDF
