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Lo BK, McTernan ML, Haines J, Savage JS, Kugler KC, Haneuse S, Redline S, Taveras EM, Davison KK. Development and Psychometric Properties of the Sleep Parenting Scale for Infants. Behav Med 2023; 49:151-161. [PMID: 34791992 PMCID: PMC9348862 DOI: 10.1080/08964289.2021.2002799] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2020] [Revised: 10/07/2021] [Accepted: 10/31/2021] [Indexed: 01/14/2023]
Abstract
Although infants' sleep behaviors are shaped by their interactions with parents at bedtime, few tools exist to capture parents' sleep parenting practices. This study developed a Sleep Parenting Scale for Infants (SPS-I) and aimed to (1) explore and validate its factorial structure, (2) examine its measurement invariance across mothers and fathers, and (3) investigate its reliability and concurrent and convergent validity. SPS-I was developed via a combination of items modified from existing scales and the development of novel items. Participants included 188 mothers and 152 mother-father dyads resulting in 340 mothers and 152 fathers; about half were non-Hispanic white. Mothers and fathers completed a 14-item SPS-I for their 12-month-old infant. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used to explore and validate SPS-I's underlying structure. Multigroup CFA was used to examine measurement invariance across mothers and fathers. Reliability was examined using Cronbach's alpha. Concurrent validity was assessed using linear regressions examining associations between SPS-I factors and parent-reported infants nighttime sleep duration. Convergent validity was assessed using paired-sample t-tests to test whether the SPS-I subscale scores were similar between mothers and fathers in the same household. EFA and CFA confirmed a 3-factor, 12-item model: sleep routines, sleep autonomy, and screen media in the sleep environment. SPS-I was invariant across mothers and fathers and was reliable. Concurrent and convergent validity were established. SPS-I has good psychometric properties, supporting its use for characterizing sleep routines, sleep autonomy, and screen media in the sleep environment by mothers and fathers.Supplemental data for this article is available online at https://doi.org/10.1080/08964289.2021.2002799 .
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Clark CA, Cook K, Wang R, Rueschman M, Radcliffe J, Redline S, Taylor HG. Psychometric properties of a combined go/no-go and continuous performance task across childhood. Psychol Assess 2023; 35:353-365. [PMID: 36633982 PMCID: PMC10041761 DOI: 10.1037/pas0001202] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
Despite the critical importance of attention for children's self-regulation and mental health, there are few task-based measures of this construct appropriate for use across a wide childhood age range including very young children. Three versions of a combined go/no-go and continuous performance task (GNG/CPT) were created with varying length and timing parameters to maximize their appropriateness for age groups spanning early to middle childhood. As part of the baseline assessment of a clinical trial, 452 children aged 3-12 years (50% male, 50% female; 52% White, non-Hispanic, 27% Black, 16% Hispanic/Latinx; 6% other ethnicity/race) completed the task. Confirmatory factor analysis indicated that all task versions assessed two latent factors, labeled response inhibition and sustained attention. Versions for older children elicited lower overall accuracy while equating levels of inhibitory demand. All versions showed limited floor and ceiling effects, as well as developmental sensitivity. Boys showed higher commission error rates and children from lower income households showed lower performance across multiple task metrics. Task metrics, especially d prime and accuracy summary scores, correlated with parent-reported executive function and externalizing behavior. Task scores show promise as valid and sensitive indicators of inhibition and sustained attention across heterogeneous pediatric age groups. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
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Miner B, Doyle M, Knauert M, Yaggi HK, Stone KL, Ancoli-Israel S, Cauley JA, Redline S, Blackwell T, Gill TM. Insomnia with objective short sleep duration in community-living older persons: A multifactorial geriatric health condition. J Am Geriatr Soc 2023; 71:1198-1208. [PMID: 36524599 PMCID: PMC10089942 DOI: 10.1111/jgs.18195] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Revised: 11/22/2022] [Accepted: 11/24/2022] [Indexed: 12/23/2022]
Abstract
BACKGROUND Insomnia or poor sleep quality with objective short sleep duration (hereafter referred to as ISSD) has been identified as a high-risk phenotype among middle-aged persons. We evaluated the prevalence and clinical correlates of ISSD among community-living older persons. METHODS In 3053 men from the Osteoporotic Fractures in Men Sleep Study (MrOS; average age 76.4 ± 5.5 years) and 3044 women from the Study of Osteoporotic Fractures (SOF; average age 83.6 ± 3.8 years), we evaluated the prevalence of ISSD (trouble getting to sleep within 30 minutes, waking up in the middle of the night or early morning, and/or taking a medication to help with sleep ≥3 times per week and actigraphy-estimated sleep duration <6 h). Using separate logistic regression models in men and women, we evaluated the cross-sectional associations between predisposing, precipitating, and perpetuating factors for ISSD, as compared with normal sleep (no insomnia and actigraphy-estimated sleep duration of 6-9 h). RESULTS Overall, 20.6% of older men and 12.8% of older women had insomnia with short sleep duration. Multiple predisposing, precipitating, and perpetuating factors were cross-sectionally associated with ISSD in both men and women. In multivariable models that adjusted for predisposing factors (demographics, multimorbidity, obesity), precipitating (depression, anxiety, central nervous system-active medication use, restless legs syndrome) and perpetuating (napping, falls) factors were significantly associated with ISSD in men and women (adjusted odds ratios ranging 1.63-4.57). CONCLUSIONS In this cross-sectional study of community-living older men and women, ISSD was common and associated with multiple predisposing, precipitating, and perpetuating factors, akin to a multifactorial geriatric health condition. Future work should examine causal pathways and determine whether the identified correlates represent modifiable risk factors.
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Weinstock JS, Gopakumar J, Burugula BB, Uddin MM, Jahn N, Belk JA, Bouzid H, Daniel B, Miao Z, Ly N, Mack TM, Luna SE, Prothro KP, Mitchell SR, Laurie CA, Broome JG, Taylor KD, Guo X, Sinner MF, von Falkenhausen AS, Kääb S, Shuldiner AR, O'Connell JR, Lewis JP, Boerwinkle E, Barnes KC, Chami N, Kenny EE, Loos RJF, Fornage M, Hou L, Lloyd-Jones DM, Redline S, Cade BE, Psaty BM, Bis JC, Brody JA, Silverman EK, Yun JH, Qiao D, Palmer ND, Freedman BI, Bowden DW, Cho MH, DeMeo DL, Vasan RS, Yanek LR, Becker LC, Kardia SLR, Peyser PA, He J, Rienstra M, Van der Harst P, Kaplan R, Heckbert SR, Smith NL, Wiggins KL, Arnett DK, Irvin MR, Tiwari H, Cutler MJ, Knight S, Muhlestein JB, Correa A, Raffield LM, Gao Y, de Andrade M, Rotter JI, Rich SS, Tracy RP, Konkle BA, Johnsen JM, Wheeler MM, Smith JG, Melander O, Nilsson PM, Custer BS, Duggirala R, Curran JE, Blangero J, McGarvey S, Williams LK, Xiao S, Yang M, Gu CC, Chen YDI, Lee WJ, Marcus GM, Kane JP, Pullinger CR, Shoemaker MB, Darbar D, Roden DM, Albert C, Kooperberg C, Zhou Y, Manson JE, Desai P, Johnson AD, Mathias RA, Blackwell TW, Abecasis GR, Smith AV, Kang HM, Satpathy AT, Natarajan P, Kitzman JO, Whitsel EA, Reiner AP, Bick AG, Jaiswal S. Aberrant activation of TCL1A promotes stem cell expansion in clonal haematopoiesis. Nature 2023; 616:755-763. [PMID: 37046083 PMCID: PMC10360040 DOI: 10.1038/s41586-023-05806-1] [Citation(s) in RCA: 24] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2021] [Accepted: 02/08/2023] [Indexed: 04/14/2023]
Abstract
Mutations in a diverse set of driver genes increase the fitness of haematopoietic stem cells (HSCs), leading to clonal haematopoiesis1. These lesions are precursors for blood cancers2-6, but the basis of their fitness advantage remains largely unknown, partly owing to a paucity of large cohorts in which the clonal expansion rate has been assessed by longitudinal sampling. Here, to circumvent this limitation, we developed a method to infer the expansion rate from data from a single time point. We applied this method to 5,071 people with clonal haematopoiesis. A genome-wide association study revealed that a common inherited polymorphism in the TCL1A promoter was associated with a slower expansion rate in clonal haematopoiesis overall, but the effect varied by driver gene. Those carrying this protective allele exhibited markedly reduced growth rates or prevalence of clones with driver mutations in TET2, ASXL1, SF3B1 and SRSF2, but this effect was not seen in clones with driver mutations in DNMT3A. TCL1A was not expressed in normal or DNMT3A-mutated HSCs, but the introduction of mutations in TET2 or ASXL1 led to the expression of TCL1A protein and the expansion of HSCs in vitro. The protective allele restricted TCL1A expression and expansion of mutant HSCs, as did experimental knockdown of TCL1A expression. Forced expression of TCL1A promoted the expansion of human HSCs in vitro and mouse HSCs in vivo. Our results indicate that the fitness advantage of several commonly mutated driver genes in clonal haematopoiesis may be mediated by TCL1A activation.
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Suzuki K, Hatzikotoulas K, Southam L, Taylor HJ, Yin X, Lorenz KM, Mandla R, Huerta-Chagoya A, Rayner NW, Bocher O, Arruda ALDSV, Sonehara K, Namba S, Lee SSK, Preuss MH, Petty LE, Schroeder P, Vanderwerff B, Kals M, Bragg F, Lin K, Guo X, Zhang W, Yao J, Kim YJ, Graff M, Takeuchi F, Nano J, Lamri A, Nakatochi M, Moon S, Scott RA, Cook JP, Lee JJ, Pan I, Taliun D, Parra EJ, Chai JF, Bielak LF, Tabara Y, Hai Y, Thorleifsson G, Grarup N, Sofer T, Wuttke M, Sarnowski C, Gieger C, Nousome D, Trompet S, Kwak SH, Long J, Sun M, Tong L, Chen WM, Nongmaithem SS, Noordam R, Lim VJY, Tam CHT, Joo YY, Chen CH, Raffield LM, Prins BP, Nicolas A, Yanek LR, Chen G, Brody JA, Kabagambe E, An P, Xiang AH, Choi HS, Cade BE, Tan J, Broadaway KA, Williamson A, Kamali Z, Cui J, Adair LS, Adeyemo A, Aguilar-Salinas CA, Ahluwalia TS, Anand SS, Bertoni A, Bork-Jensen J, Brandslund I, Buchanan TA, Burant CF, Butterworth AS, Canouil M, Chan JCN, Chang LC, Chee ML, Chen J, Chen SH, Chen YT, Chen Z, Chuang LM, Cushman M, Danesh J, Das SK, de Silva HJ, Dedoussis G, Dimitrov L, Doumatey AP, Du S, Duan Q, Eckardt KU, Emery LS, Evans DS, Evans MK, Fischer K, Floyd JS, Ford I, Franco OH, Frayling TM, Freedman BI, Genter P, Gerstein HC, Giedraitis V, González-Villalpando C, González-Villalpando ME, Gordon-Larsen P, Gross M, Guare LA, Hackinger S, Han S, Hattersley AT, Herder C, Horikoshi M, Howard AG, Hsueh W, Huang M, Huang W, Hung YJ, Hwang MY, Hwu CM, Ichihara S, Ikram MA, Ingelsson M, Islam MT, Isono M, Jang HM, Jasmine F, Jiang G, Jonas JB, Jørgensen T, Kandeel FR, Kasturiratne A, Katsuya T, Kaur V, Kawaguchi T, Keaton JM, Kho AN, Khor CC, Kibriya MG, Kim DH, Kronenberg F, Kuusisto J, Läll K, Lange LA, Lee KM, Lee MS, Lee NR, Leong A, Li L, Li Y, Li-Gao R, Lithgart S, Lindgren CM, Linneberg A, Liu CT, Liu J, Locke AE, Louie T, Luan J, Luk AO, Luo X, Lv J, Lynch JA, Lyssenko V, Maeda S, Mamakou V, Mansuri SR, Matsuda K, Meitinger T, Metspalu A, Mo H, Morris AD, Nadler JL, Nalls MA, Nayak U, Ntalla I, Okada Y, Orozco L, Patel SR, Patil S, Pei P, Pereira MA, Peters A, Pirie FJ, Polikowsky HG, Porneala B, Prasad G, Rasmussen-Torvik LJ, Reiner AP, Roden M, Rohde R, Roll K, Sabanayagam C, Sandow K, Sankareswaran A, Sattar N, Schönherr S, Shahriar M, Shen B, Shi J, Shin DM, Shojima N, Smith JA, So WY, Stančáková A, Steinthorsdottir V, Stilp AM, Strauch K, Taylor KD, Thorand B, Thorsteinsdottir U, Tomlinson B, Tran TC, Tsai FJ, Tuomilehto J, Tusie-Luna T, Udler MS, Valladares-Salgado A, van Dam RM, van Klinken JB, Varma R, Wacher-Rodarte N, Wheeler E, Wickremasinghe AR, van Dijk KW, Witte DR, Yajnik CS, Yamamoto K, Yamamoto K, Yoon K, Yu C, Yuan JM, Yusuf S, Zawistowski M, Zhang L, Zheng W, Raffel LJ, Igase M, Ipp E, Redline S, Cho YS, Lind L, Province MA, Fornage M, Hanis CL, Ingelsson E, Zonderman AB, Psaty BM, Wang YX, Rotimi CN, Becker DM, Matsuda F, Liu Y, Yokota M, Kardia SLR, Peyser PA, Pankow JS, Engert JC, Bonnefond A, Froguel P, Wilson JG, Sheu WHH, Wu JY, Hayes MG, Ma RCW, Wong TY, Mook-Kanamori DO, Tuomi T, Chandak GR, Collins FS, Bharadwaj D, Paré G, Sale MM, Ahsan H, Motala AA, Shu XO, Park KS, Jukema JW, Cruz M, Chen YDI, Rich SS, McKean-Cowdin R, Grallert H, Cheng CY, Ghanbari M, Tai ES, Dupuis J, Kato N, Laakso M, Köttgen A, Koh WP, Bowden DW, Palmer CNA, Kooner JS, Kooperberg C, Liu S, North KE, Saleheen D, Hansen T, Pedersen O, Wareham NJ, Lee J, Kim BJ, Millwood IY, Walters RG, Stefansson K, Goodarzi MO, Mohlke KL, Langenberg C, Haiman CA, Loos RJF, Florez JC, Rader DJ, Ritchie MD, Zöllner S, Mägi R, Denny JC, Yamauchi T, Kadowaki T, Chambers JC, Ng MCY, Sim X, Below JE, Tsao PS, Chang KM, McCarthy MI, Meigs JB, Mahajan A, Spracklen CN, Mercader JM, Boehnke M, Rotter JI, Vujkovic M, Voight BF, Morris AP, Zeggini E. Multi-ancestry genome-wide study in >2.5 million individuals reveals heterogeneity in mechanistic pathways of type 2 diabetes and complications. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.03.31.23287839. [PMID: 37034649 PMCID: PMC10081410 DOI: 10.1101/2023.03.31.23287839] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 04/30/2023]
Abstract
Type 2 diabetes (T2D) is a heterogeneous disease that develops through diverse pathophysiological processes. To characterise the genetic contribution to these processes across ancestry groups, we aggregate genome-wide association study (GWAS) data from 2,535,601 individuals (39.7% non-European ancestry), including 428,452 T2D cases. We identify 1,289 independent association signals at genome-wide significance (P<5×10-8) that map to 611 loci, of which 145 loci are previously unreported. We define eight non-overlapping clusters of T2D signals characterised by distinct profiles of cardiometabolic trait associations. These clusters are differentially enriched for cell-type specific regions of open chromatin, including pancreatic islets, adipocytes, endothelial, and enteroendocrine cells. We build cluster-specific partitioned genetic risk scores (GRS) in an additional 137,559 individuals of diverse ancestry, including 10,159 T2D cases, and test their association with T2D-related vascular outcomes. Cluster-specific partitioned GRS are more strongly associated with coronary artery disease and end-stage diabetic nephropathy than an overall T2D GRS across ancestry groups, highlighting the importance of obesity-related processes in the development of vascular outcomes. Our findings demonstrate the value of integrating multi-ancestry GWAS with single-cell epigenomics to disentangle the aetiological heterogeneity driving the development and progression of T2D, which may offer a route to optimise global access to genetically-informed diabetes care.
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Sands SA, Alex RM, Mann D, Vena D, Terrill PI, Gell LK, Zinchuk A, Sofer T, Patel SR, Taranto-Montemurro L, Azarbarzin A, Rueschman M, White DP, Wellman A, Redline S. Pathophysiology Underlying Demographic and Obesity Determinants of Sleep Apnea Severity. Ann Am Thorac Soc 2023; 20:440-449. [PMID: 36287615 PMCID: PMC9993145 DOI: 10.1513/annalsats.202203-271oc] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Accepted: 10/14/2022] [Indexed: 11/20/2022] Open
Abstract
Rationale: Sleep apnea is the manifestation of key endotypic traits, including greater pharyngeal collapsibility, reduced dilator muscle compensation, and elevated chemoreflex loop gain. Objectives: We investigated how endotypic traits vary with obesity, age, sex, and race/ethnicity to influence sleep apnea disease severity (apnea-hypopnea index [AHI]). Methods: Endotypic traits were estimated from polysomnography in a diverse community-based cohort study (Multi-Ethnic Study of Atherosclerosis, N = 1,971; age range, 54-93 yr). Regression models assessed associations between each exposure (continuous variables per 2 standard deviations [SDs]) and endotypic traits (per SD) or AHI (events/h), independent of other exposures. Generalizability was assessed in two independent cohorts. Results: Greater AHI was associated with obesity (+19 events/h per 11 kg/m2 [2 SD]), male sex (+13 events/h vs. female), older age (+7 events/h per 20 yr), and Chinese ancestry (+5 events/h vs. White, obesity adjusted). Obesity-related increase in AHI was best explained by elevated collapsibility (+0.40 SD) and greater loop gain (+0.38 SD; percentage mediated, 26% [95% confidence interval (CI), 20-32%]). Male-related increase in AHI was explained by elevated collapsibility (+0.86 SD) and reduced compensation (-0.40 SD; percentage mediated, 57% [95% CI, 50-66%]). Age-related AHI increase was explained by elevated collapsibility (+0.37 SD) and greater loop gain (+0.15 SD; percentage mediated, 48% [95% CI, 34-63%]). Increased AHI with Chinese ancestry was explained by collapsibility (+0.57 SD; percentage mediated, 87% [95% CI, 57-100]). Black race was associated with reduced collapsibility (-0.30 SD) and elevated loop gain (+0.29 SD). Similar patterns were observed in the other cohorts. Conclusions: Different subgroups exhibit different underlying pathophysiological pathways to sleep apnea, highlighting the variability in mechanisms that could be targeted for intervention.
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Gumz ML, Shimbo D, Abdalla M, Balijepalli RC, Benedict C, Chen Y, Earnest DJ, Gamble KL, Garrison SR, Gong MC, Hogenesch JB, Hong Y, Ivy JR, Joe B, Laposky AD, Liang M, MacLaughlin EJ, Martino TA, Pollock DM, Redline S, Rogers A, Dan Rudic R, Schernhammer ES, Stergiou GS, St-Onge MP, Wang X, Wright J, Oh YS. Toward Precision Medicine: Circadian Rhythm of Blood Pressure and Chronotherapy for Hypertension - 2021 NHLBI Workshop Report. Hypertension 2023; 80:503-522. [PMID: 36448463 PMCID: PMC9931676 DOI: 10.1161/hypertensionaha.122.19372] [Citation(s) in RCA: 22] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2022]
Abstract
Healthy individuals exhibit blood pressure variation over a 24-hour period with higher blood pressure during wakefulness and lower blood pressure during sleep. Loss or disruption of the blood pressure circadian rhythm has been linked to adverse health outcomes, for example, cardiovascular disease, dementia, and chronic kidney disease. However, the current diagnostic and therapeutic approaches lack sufficient attention to the circadian rhythmicity of blood pressure. Sleep patterns, hormone release, eating habits, digestion, body temperature, renal and cardiovascular function, and other important host functions as well as gut microbiota exhibit circadian rhythms, and influence circadian rhythms of blood pressure. Potential benefits of nonpharmacologic interventions such as meal timing, and pharmacologic chronotherapeutic interventions, such as the bedtime administration of antihypertensive medications, have recently been suggested in some studies. However, the mechanisms underlying circadian rhythm-mediated blood pressure regulation and the efficacy of chronotherapy in hypertension remain unclear. This review summarizes the results of the National Heart, Lung, and Blood Institute workshop convened on October 27 to 29, 2021 to assess knowledge gaps and research opportunities in the study of circadian rhythm of blood pressure and chronotherapy for hypertension.
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Shah N, Reid M, Mani V, Kundel V, Kaplan RC, Kizer JR, Fayad ZA, Shea S, Redline S. Sleep apnea and carotid atherosclerosis in the Multi-Ethnic Study of Atherosclerosis (MESA): leveraging state-of-the-art vascular imaging. THE INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING 2023; 39:621-630. [PMID: 36316593 DOI: 10.1007/s10554-022-02743-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Accepted: 10/07/2022] [Indexed: 11/05/2022]
Abstract
PURPOSE To further characterize the relationship between obstructive sleep apnea (OSA) and carotid atherosclerosis, we examined the structural and metabolic features of carotid plaque using hybrid 18-F-fluorodeoxyglucose (FDG) Positron Emission Tomography/Magnetic Resonance Imaging (PET/MRI) in the Multi-Ethnic Study of Atherosclerosis (MESA). METHODS We studied 46 individuals from the MESA-PET and MESA-Sleep ancillary studies. OSA was defined as an apnea hypopnea index [AHI] ≥ 15 events per hour (4% desaturation). PET/MRI was used to measure carotid plaque inflammation (using target-to-background-ratios [TBR]) and carotid wall thickness (CWT). Linear regression was used to assess the associations between OSA, CWT and TBR. RESULTS The mean age was 67.9 years (SD 8.53) and the mean BMI was 28.9 kg/m2 (SD 4.47). There was a trend toward a higher mean CWT in the OSA (n = 11) vs. non-OSA group (n = 35), 1.51 vs. 1.41 (p = 0.098). TBR did not differ by OSA groups, and there was no significant association between OSA and carotid plaque inflammation (TBR) in adjusted analyses. Although there was a significant interaction between OSA and obesity, there were no statistically significant associations between OSA and vascular inflammation in stratified analysis by obesity. CONCLUSION Despite a trend toward a higher carotid wall thickness in OSA vs. non-OSA participants, we did not find an independent association between OSA and carotid plaque inflammation using PET/MRI in MESA. Our findings suggest that simultaneous assessments of structural and metabolic features of atherosclerosis may fill current knowledge gaps pertaining to the influence of OSA on atherosclerosis prevalence and progression.
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Hartmann S, Parrino L, Ensrud K, Stone KL, Redline S, Clark SR, Baumert M. Association between psychotropic medication and sleep microstructure: evidence from large population studies. J Clin Sleep Med 2023; 19:581-589. [PMID: 36546402 PMCID: PMC9978436 DOI: 10.5664/jcsm.10394] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Revised: 11/03/2022] [Accepted: 11/04/2022] [Indexed: 12/24/2022]
Abstract
STUDY OBJECTIVES To assess the association between psychotropic medications and sleep microstructure in large community-based cohorts of older people. METHODS We analyzed overnight polysomnograms of 381 women from the Study of Osteoporotic Fractures (SOF) and 2,657 men from the Osteoporotic Fractures in Men Sleep Study (MrOS), who either used no psychotropic medication (n = 2,819), only benzodiazepines (n = 112), or only selective serotonin reuptake inhibitors (SSRI) (n = 107). Sleep microstructure (cyclic alternating pattern, CAP) was compared between the no medication group and psychotropic medication groups using the Mann-Whitney U test. Significant differences were investigated using multivariable linear regression adjusted for confounders. RESULTS CAP rate, arousal index, apnea-hypopnea index, and the frequency of slow, low-amplitude electroencephalography activation phases were significantly lower in MrOS participants using benzodiazepines than participants not taking psychotropic medication. SSRI users in MrOS experienced no altered sleep microstructure compared to those with no psychotropic use. SOF participants using benzodiazepines did not show similar associations with sleep microstructure. However, SSRI users from SOF had a significantly higher frequency of rapid, high-amplitude electroencephalography activation phases (A2 + 3) and periodic limb-movement index than participants not taking psychotropic medication. Multivariable linear regression adjusted for demographic, lifestyle, mood disorders, and health variables indicated additional significant associations between benzodiazepine usage and CAP rate and A2 + 3 index, respectively, in older men, and between CAP rate and SSRI usage in older women. CONCLUSIONS We identified significant associations between sleep microstructure and psychotropic drugs in MrOS and SOF, highlighting the importance of comprehensive sleep analysis, including CAP. Our results may improve understanding of the differences in sleep-wake mechanisms based on psychotropic usage. CLINICAL TRIAL REGISTRATION Registry: ClinicalTrials.gov; Title: Outcomes of Sleep Disorders in Older Men; Identifier: NCT00070681; URL: https://clinicaltrials.gov/ct2/show/record/NCT00070681. CITATION Hartmann S, Parrino L, Ensrud K, et al. Association between psychotropic medication and sleep microstructure: evidence from large population studies. J Clin Sleep Med. 2023;19(3):581-589.
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Ersu R, Chen ML, Ehsan Z, Ishman SL, Redline S, Narang I. Persistent obstructive sleep apnoea in children: treatment options and management considerations. THE LANCET. RESPIRATORY MEDICINE 2023; 11:283-296. [PMID: 36162413 DOI: 10.1016/s2213-2600(22)00262-4] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/28/2021] [Revised: 05/15/2022] [Accepted: 07/05/2022] [Indexed: 10/14/2022]
Abstract
Unresolved obstructive sleep apnoea (OSA) after an adenotonsillectomy, henceforth referred to as persistent OSA, is increasingly recognised in children (2-18 years). Although associated with obesity, underlying medical complexity, and craniofacial disorders, persistent OSA also occurs in otherwise healthy children. Inadequate treatment of persistent OSA can lead to long-term adverse health outcomes beyond childhood. Positive airway pressure, used as a one-size-fits-all primary management strategy for persistent childhood OSA, is highly efficacious but has unacceptably low adherence rates. A pressing need exists for a broader, more effective management approach for persistent OSA in children. In this Personal View, we discuss the use and the need for evaluation of current and novel therapeutics, the role of shared decision-making models that consider patient preferences, and the importance of considering the social determinants of health in research and clinical practice. A multipronged, comprehensive approach to persistent OSA might achieve better clinical outcomes in childhood and promote health equity for all children.
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Johnson DA, Medearis K, Moore K, Redline S. Abstract MP43: The Role of the Physical Environment in Racial Differences in Sleep Duration. Circulation 2023. [DOI: 10.1161/circ.147.suppl_1.mp43] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/15/2023]
Abstract
Background:
Racial and ethnic sleep disparities have been documented; however, the mechanisms are unclear. The physical environment is associated with sleep duration and may explain sleep disparities. We examined the physical environment as a mediator of racial differences in sleep duration using data from the Multi-Ethnic Study of Atherosclerosis (N=2073).
Methods:
Participants underwent 1-week actigraphy, completed questionnaires on the neighborhood environment, and addresses were geocoded and linked to physical environment features. Actigraphy-measured sleep duration was analyzed as both continuously and categorically (short sleep duration < 6 hours vs. ≥ 6 hours). Physical environment characteristics included availability of healthy foods, aesthetic quality, walking environment, walking destination density, the proportion of land dedicated to retail space and an overall built environment score. Multi-level linear and Poisson regression models with robust variance were fit to examine associations of race, physical environment, and sleep duration with adjustment for covariates. Direct and indirect mediation was tested via path models.
Results:
The mean age was 68.6 ± 9.2 years. Approximately 46% of participants were male and 37.7% White, 27.7% Black, 23.1% Hispanic, and 11.5% Chinese American. The prevalence of short sleep (6 hours) was highest for racial minorities, ranging from 32.2% to 44.3% compared to 19.2% for White adults. A higher built environment factor score was associated with shorter sleep duration. The physical environment partially mediated racial disparities in sleep duration between Hispanic and White adults. A significant indirect effect of race on sleep duration via aesthetic quality, walking destination density, proportion retail and the built environment factor score was detected, explaining 4.0%, 27.2%, 7.6%, and 37.8%, respectively of the association between race and sleep duration for Hispanic individuals, compared to White individuals. The physical environment did not explain the Black-White or Chinese-White disparity in sleep duration.
Conclusion:
Black, Hispanic, and Chinese individuals had shorter sleep duration than White individuals. The Hispanic-White disparity in sleep duration was partially explained by the physical environment. These findings suggest that the physical environment may be an important mechanism in which racial disparities in sleep exist and a likely a target for intervention.
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Kianersi S, Redline S, Mongraw-Chaffin M, Huang T. Abstract MP48: Cross-Sectional and Prospective Associations Between Slow-Wave Sleep and Type 2 Diabetes: The Multi-Ethnic Study of Atherosclerosis. Circulation 2023. [DOI: 10.1161/circ.147.suppl_1.mp48] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/16/2023]
Abstract
Introduction:
Slow-wave sleep (also known as stage N3 sleep), a marker of deep restorative sleep, is implicated in the regulation of insulin resistance and glucose homeostasis and may impact cardiometabolic health.
Hypothesis:
We conducted both cross-sectional and prospective analyses to test the hypothesis that higher proportion and longer duration of N3 sleep are associated with reduced diabetes risk in older adults.
Methods:
A sub-sample of participants from the Multi-Ethnic Study of Atherosclerosis completed one-night polysomnography at Exam 5 (2010-2013) and were prospectively followed until Exam 6 (2016-2018). Continuous measures of N3 proportion (%) and duration (minutes) and their corresponding quartiles were used as primary exposures. Diabetes status was assessed in both Exams and was defined as fasting blood glucose≥126 mg/dl, HbA1c≥6.5%, antidiabetic medications use, or self-reported doctor diagnosis of diabetes. We used Modified Poisson regression to examine the cross-sectional associations of N3 proportion and duration with prevalent diabetes in Exam 5. Cox proportional hazards models were used to estimate risk of incident diabetes according to N3 measures. We sequentially adjusted for sociodemographic factors, lifestyles, adiposity measures, and multiple sleep-related factors, such as average sleep duration, apnea-hypopnea index, and insomnia symptoms.
Results:
In cross-sectional analyses (N=2,026, mean age: 69 years), diabetes prevalence was 28% (n=572). Compared to participants in the first quartile of N3 proportion (<2.0%), participants in the fourth quartile (≥15.4%) were 29% less likely to have prevalent diabetes (Prevalence ratio: 0.71; 95% CI: 0.58,0.87;
P
-trend: 0.0016]. The association was attenuated and not significant after adjusting for confounders, particularly BMI. In prospective analyses (N=1,251), there were 129 incident diabetes cases over 6,346 person-years of follow-up (mean follow-up time: 5.1 years). A curvilinear relationship was observed between N3 proportion and incident diabetes risk. The hazard ratio (95% CI) of developing diabetes versus the lowest quartile was 0.45 (0.25,0.81) for quartile 2, 0.31 (0.14,0.70) for quartile 3, and 0.30 (0.10,0.90) for quartile 4 (
P
-nonlinearity=0.0169, based on restricted cubic spline model). The association remained significant in the fully adjusted model (
P
-nonlinearity=0.0319). The results were similar for N3 duration.
Conclusions:
Higher N3 proportion and longer N3 duration were prospectively associated with lower diabetes risk in a nonlinear fashion among older American adults.
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Ryu S, Morey BN, Lee GE, Kawachi I, Redline S, Lee S. The Cross-Sectional Association of Sleep Disturbance and Sleep Apnea With Complex Multimorbidity Among Chinese and Korean Americans. Am J Epidemiol 2023; 192:420-429. [PMID: 36516987 PMCID: PMC10372862 DOI: 10.1093/aje/kwac211] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Revised: 11/30/2022] [Accepted: 12/08/2022] [Indexed: 12/23/2022] Open
Abstract
A new concept called complex multimorbidity provides a more reliable measure of disease burden than multimorbidity based on a simple count of diseases, by categorizing diseases according to the body system they affect. This study examined associations between sleep measures and complex multimorbidity among Chinese and Korean Americans in the Baltimore-Washington DC Metropolitan Area, using cross-sectional data (n = 400) from the Screening to Prevent Colorectal Cancer study (2018-2020). Sleep disturbance was measured using the 8-item Patient Reported Outcomes Measurement Information System Sleep Disturbance scale and sleep apnea risk was assessed using the Berlin questionnaire. Complex multimorbidity was defined as the coexistence of 3 or more of body system disorders assessed by self-report of physician-diagnosed diseases. Poisson regression models with adjustments indicated that individuals with sleep disturbance had 2.15 times the prevalence of having complex multimorbidity (95% confidence interval (CI): 1.07, 4.29). Individuals with a high risk of sleep apnea had 1.19 times the prevalence of having complex multimorbidity (95% CI: 0.47, 3.01). These findings suggest a need for interventions to increase awareness of the importance of sleep among health-care providers and the public and to educate them about causes, signs, and treatment of sleep disturbance and sleep apnea.
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Cade BE, Hassan SM, Mullington JM, Karlson EW, Redline S. Impact of Pulmonary and Sleep Disorders on COVID-19 Infection Severity in a Large Clinical Biobank. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.02.19.23286148. [PMID: 36865276 PMCID: PMC9980259 DOI: 10.1101/2023.02.19.23286148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/25/2023]
Abstract
Rationale Multiple pulmonary, sleep, and other disorders are associated with the severity of Covid-19 infections but may or may not directly affect the etiology of acute Covid-19 infection. Identifying the relative importance of concurrent risk factors may prioritize respiratory disease outbreaks research. Objectives To identify associations of common preexisting pulmonary and sleep disease on acute Covid-19 infection severity, investigate the relative contributions of each disease and selected risk factors, identify sex-specific effects, and examine whether additional electronic health record (EHR) information would affect these associations. Methods 45 pulmonary and 6 sleep diseases were examined in 37,020 patients with Covid-19. We analyzed three outcomes: death; a composite measure of mechanical ventilation and/or ICU admission; and inpatient admission. The relative contribution of pre-infection covariates including other diseases, laboratory tests, clinical procedures, and clinical note terms was calculated using LASSO. Each pulmonary/sleep disease model was then further adjusted for covariates. Measurements and main results 37 pulmonary/sleep diseases were associated with at least one outcome at Bonferroni significance, 6 of which had increased relative risk in LASSO analyses. Multiple prospectively collected non-pulmonary/sleep diseases, EHR terms and laboratory results attenuated the associations between preexisting disease and Covid-19 infection severity. Adjustment for counts of prior "blood urea nitrogen" phrases in clinical notes attenuated the odds ratio point estimates of 12 pulmonary disease associations with death in women by ≥1. Conclusions Pulmonary diseases are commonly associated with Covid-19 infection severity. Associations are partially attenuated by prospectively-collected EHR data, which may aid in risk stratification and physiological studies.
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Full KM, Huang T, Shah NA, Allison MA, Michos ED, Duprez DA, Redline S, Lutsey PL. Sleep Irregularity and Subclinical Markers of Cardiovascular Disease: The Multi-Ethnic Study of Atherosclerosis. J Am Heart Assoc 2023; 12:e027361. [PMID: 36789869 PMCID: PMC10111477 DOI: 10.1161/jaha.122.027361] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Accepted: 12/02/2022] [Indexed: 02/16/2023]
Abstract
Background Sleep irregularity has been linked to incident cardiovascular disease. Less is known about associations of sleep regularity with atherosclerosis. We examined cross-sectional associations of actigraphy-assessed sleep duration and sleep timing regularity with subclinical atherosclerosis in the community-based MESA (Multi-Ethnic Study of Atherosclerosis). Methods and Results MESA Sleep Ancillary Study participants (N=2032; mean age, 68.6±9.2 years; 37.9% White) completed 7-day wrist actigraphy. Participants underwent assessments of coronary artery calcium, carotid plaque presence, carotid intima-media thickness, and the ankle-brachial index. Sleep regularity was quantified by the 7-day with-in person SD of sleep duration and sleep onset timing. Relative risk regression models were used to calculate prevalence ratios and 95% CIs. Models are adjusted for demographics, cardiovascular disease risk factors, and other objectively assessed sleep characteristics including obstructive sleep apnea, sleep duration, and sleep fragmentation. After adjustment, compared with participants with more regular sleep durations (SD ≤60 minutes), participants with greater sleep duration irregularity (SD >120 minutes) were more likely to have high coronary artery calcium burden (>300; prevalence ratio, 1.33 [95% CI, 1.03-1.71]) and abnormal ankle-brachial index (<0.9; prevalence ratio, 1.75 [95% CI, 1.03-2.95]). Compared with participants with more regular sleep timing (SD ≤30 minutes), participants with irregular sleep timing (SD >90 minutes) were more likely to have high coronary artery calcium burden (prevalence ratio, 1.39 [95% CI, 1.07-1.82]). Associations persisted after adjustment for cardiovascular disease risk factors and average sleep duration, obstructive sleep apnea, and sleep fragmentation. Conclusions Sleep irregularity, particularly sleep duration irregularity, was associated with several measures of subclinical atherosclerosis. Sleep regularity may be a modifiable target for reducing atherosclerosis risk. Future investigation into cardiovascular risk reduction interventions targeting sleep irregularity may be warranted.
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Haghayegh S, Hu K, Stone K, Redline S, Schernhammer E. Automated Sleep Stages Classification Using Convolutional Neural Network From Raw and Time-Frequency Electroencephalogram Signals: Systematic Evaluation Study. J Med Internet Res 2023; 25:e40211. [PMID: 36763454 PMCID: PMC9960035 DOI: 10.2196/40211] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Revised: 09/09/2022] [Accepted: 01/09/2023] [Indexed: 02/11/2023] Open
Abstract
BACKGROUND Most existing automated sleep staging methods rely on multimodal data, and scoring a specific epoch requires not only the current epoch but also a sequence of consecutive epochs that precede and follow the epoch. OBJECTIVE We proposed and tested a convolutional neural network called SleepInceptionNet, which allows sleep classification of a single epoch using a single-channel electroencephalogram (EEG). METHODS SleepInceptionNet is based on our systematic evaluation of the effects of different EEG preprocessing methods, EEG channels, and convolutional neural networks on automatic sleep staging performance. The evaluation was performed using polysomnography data of 883 participants (937,975 thirty-second epochs). Raw data of individual EEG channels (ie, frontal, central, and occipital) and 3 specific transformations of the data, including power spectral density, continuous wavelet transform, and short-time Fourier transform, were used separately as the inputs of the convolutional neural network models. To classify sleep stages, 7 sequential deep neural networks were tested for the 1D data (ie, raw EEG and power spectral density), and 16 image classifier convolutional neural networks were tested for the 2D data (ie, continuous wavelet transform and short-time Fourier transform time-frequency images). RESULTS The best model, SleepInceptionNet, which uses time-frequency images developed by the continuous wavelet transform method from central single-channel EEG data as input to the InceptionV3 image classifier algorithm, achieved a Cohen κ agreement of 0.705 (SD 0.077) in reference to the gold standard polysomnography. CONCLUSIONS SleepInceptionNet may allow real-time automated sleep staging in free-living conditions using a single-channel EEG, which may be useful for on-demand intervention or treatment during specific sleep stages.
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Jun G, English AC, Metcalf GA, Yang J, Chaisson MJP, Pankratz N, Menon VK, Salerno WJ, Krasheninina O, Smith AV, Lane JA, Blackwell T, Kang HM, Salvi S, Meng Q, Shen H, Pasham D, Bhamidipati S, Kottapalli K, Arnett DK, Ashley-Koch A, Auer PL, Beutel KM, Bis JC, Blangero J, Bowden DW, Brody JA, Cade BE, Chen YDI, Cho MH, Curran JE, Fornage M, Freedman BI, Fingerlin T, Gelb BD, Hou L, Hung YJ, Kane JP, Kaplan R, Kim W, Loos RJ, Marcus GM, Mathias RA, McGarvey ST, Montgomery C, Naseri T, Nouraie SM, Preuss MH, Palmer ND, Peyser PA, Raffield LM, Ratan A, Redline S, Reupena S, Rotter JI, Rich SS, Rienstra M, Ruczinski I, Sankaran VG, Schwartz DA, Seidman CE, Seidman JG, Silverman EK, Smith JA, Stilp A, Taylor KD, Telen MJ, Weiss ST, Williams LK, Wu B, Yanek LR, Zhang Y, Lasky-Su J, Gingras MC, Dutcher SK, Eichler EE, Gabriel S, Germer S, Kim R, Viaud-Martinez KA, Nickerson DA, Luo J, Reiner A, Gibbs RA, Boerwinkle E, Abecasis G, Sedlazeck FJ. Structural variation across 138,134 samples in the TOPMed consortium. RESEARCH SQUARE 2023:rs.3.rs-2515453. [PMID: 36778386 PMCID: PMC9915771 DOI: 10.21203/rs.3.rs-2515453/v1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Ever larger Structural Variant (SV) catalogs highlighting the diversity within and between populations help researchers better understand the links between SVs and disease. The identification of SVs from DNA sequence data is non-trivial and requires a balance between comprehensiveness and precision. Here we present a catalog of 355,667 SVs (59.34% novel) across autosomes and the X chromosome (50bp+) from 138,134 individuals in the diverse TOPMed consortium. We describe our methodologies for SV inference resulting in high variant quality and >90% allele concordance compared to long-read de-novo assemblies of well-characterized control samples. We demonstrate utility through significant associations between SVs and important various cardio-metabolic and hematologic traits. We have identified 690 SV hotspots and deserts and those that potentially impact the regulation of medically relevant genes. This catalog characterizes SVs across multiple populations and will serve as a valuable tool to understand the impact of SV on disease development and progression.
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Shahrbabaki SS, Linz D, Redline S, Stone K, Ensrud K, Baumert M. Sleep Arousal-Related Ventricular Repolarization Lability Is Associated With Cardiovascular Mortality in Older Community-Dwelling Men. Chest 2023; 163:419-432. [PMID: 36244405 PMCID: PMC9899642 DOI: 10.1016/j.chest.2022.09.043] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2022] [Revised: 08/16/2022] [Accepted: 09/30/2022] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND Sleep is fragmented by brief arousals, and excessive arousal burden has been linked to increased cardiovascular (CV) risk, but mechanisms are poorly understood. RESEARCH QUESTION Do arousals trigger cardiac ventricular repolarization lability that may predispose people to long-term cardiovascular mortality? STUDY DESIGN AND METHODS This study analyzed 407,541 arousals in the overnight polysomnograms of 2,558 older men in the Osteoporotic Fractures in Men sleep study. QT and RR intervals were measured beat-to-beat starting 15 s prior to arousal onset until 15 s past onset. Ventricular repolarization lability was quantified by using the QT variability index (QTVi). RESULTS During 10.1 ± 2.5 years of follow-up, 1,000 men died of any cause, including 348 CV deaths. During arousals, QT and RR variability increased on average by 5 and 55 ms, respectively, resulting in a paradoxical transient decrease in QTVi from 0.07 ± 1.68 to -1.00 ± 1.68. Multivariable Cox proportional hazards analysis adjusted for age, BMI, cardiovascular and respiratory risk factors, sleep-disordered breathing and arousal, diabetes, and Parkinson disease indicated that excessive QTVi during arousal was independently associated with all-cause and CV mortality (all-cause hazard ratio, 1.20 [95% CI, 1.04-1.38; P = .012]; CV hazard ratio, 1.29 [95% CI, 1.01 -1.65; P = .043]). INTERPRETATION Arousals affect ventricular repolarization. A disproportionate increase in QT variability during arousal is associated with an increased all-cause and CV mortality and may reflect ventricular repolarization maladaptation to the arousal stimulus. Whether arousal-related QTVi can be used for more tailored risk stratification warrants further study, including evaluating whether arousal suppression attenuates ventricular repolarization lability and reduces subsequent mortality. CLINICAL TRIAL REGISTRATION ClinicalTrials.gov; No.: NCT00070681; URL: www. CLINICALTRIALS gov.
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Kurniansyah N, Wallace DA, Zhang Y, Yu B, Cade B, Wang H, Ochs-Balcom HM, Reiner AP, Ramos AR, Smith JD, Cai J, Daviglus M, Zee PC, Kaplan R, Kooperberg C, Rich SS, Rotter JI, Gharib SA, Redline S, Sofer T. An integrated multi-omics analysis of sleep-disordered breathing traits implicates P2XR4 purinergic signaling. Commun Biol 2023; 6:125. [PMID: 36721044 PMCID: PMC9889381 DOI: 10.1038/s42003-023-04520-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Accepted: 01/23/2023] [Indexed: 02/01/2023] Open
Abstract
Sleep Disordered Breathing (SDB) is a common disease associated with increased risk for cardiometabolic, cardiovascular, and cognitive diseases. How SDB affects the molecular environment is still poorly understood. We study the association of three SDB measures with gene expression measured using RNA-seq in multiple blood tissues from the Multi-Ethnic Study of Atherosclerosis. We develop genetic instrumental variables for the associated transcripts as polygenic risk scores (tPRS), then generalize and validate the tPRS in the Women's Health Initiative. We measure the associations of the validated tPRS with SDB and serum metabolites in Hispanic Community Health Study/Study of Latinos. Here we find differential gene expression by blood cell type in relation to SDB traits and link P2XR4 expression to average oxyhemoglobin saturation during sleep and butyrylcarnitine (C4) levels. These findings can be used to develop interventions to alleviate the effect of SDB on the human molecular environment.
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120
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Jun G, English AC, Metcalf GA, Yang J, Chaisson MJP, Pankratz N, Menon VK, Salerno WJ, Krasheninina O, Smith AV, Lane JA, Blackwell T, Kang HM, Salvi S, Meng Q, Shen H, Pasham D, Bhamidipati S, Kottapalli K, Arnett DK, Ashley-Koch A, Auer PL, Beutel KM, Bis JC, Blangero J, Bowden DW, Brody JA, Cade BE, Chen YDI, Cho MH, Curran JE, Fornage M, Freedman BI, Fingerlin T, Gelb BD, Hou L, Hung YJ, Kane JP, Kaplan R, Kim W, Loos RJ, Marcus GM, Mathias RA, McGarvey ST, Montgomery C, Naseri T, Nouraie SM, Preuss MH, Palmer ND, Peyser PA, Raffield LM, Ratan A, Redline S, Reupena S, Rotter JI, Rich SS, Rienstra M, Ruczinski I, Sankaran VG, Schwartz DA, Seidman CE, Seidman JG, Silverman EK, Smith JA, Stilp A, Taylor KD, Telen MJ, Weiss ST, Williams LK, Wu B, Yanek LR, Zhang Y, Lasky-Su J, Gingras MC, Dutcher SK, Eichler EE, Gabriel S, Germer S, Kim R, Viaud-Martinez KA, Nickerson DA, Luo J, Reiner A, Gibbs RA, Boerwinkle E, Abecasis G, Sedlazeck FJ. Structural variation across 138,134 samples in the TOPMed consortium. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.01.25.525428. [PMID: 36747810 PMCID: PMC9900832 DOI: 10.1101/2023.01.25.525428] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
Ever larger Structural Variant (SV) catalogs highlighting the diversity within and between populations help researchers better understand the links between SVs and disease. The identification of SVs from DNA sequence data is non-trivial and requires a balance between comprehensiveness and precision. Here we present a catalog of 355,667 SVs (59.34% novel) across autosomes and the X chromosome (50bp+) from 138,134 individuals in the diverse TOPMed consortium. We describe our methodologies for SV inference resulting in high variant quality and >90% allele concordance compared to long-read de-novo assemblies of well-characterized control samples. We demonstrate utility through significant associations between SVs and important various cardio-metabolic and hemotologic traits. We have identified 690 SV hotspots and deserts and those that potentially impact the regulation of medically relevant genes. This catalog characterizes SVs across multiple populations and will serve as a valuable tool to understand the impact of SV on disease development and progression.
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121
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Young KL, Fisher V, Deng X, Brody JA, Graff M, Lim E, Lin BM, Xu H, Amin N, An P, Aslibekyan S, Fohner AE, Hidalgo B, Lenzini P, Kraaij R, Medina-Gomez C, Prokić I, Rivadeneira F, Sitlani C, Tao R, van Rooij J, Zhang D, Broome JG, Buth EJ, Heavner BD, Jain D, Smith AV, Barnes K, Boorgula MP, Chavan S, Darbar D, De Andrade M, Guo X, Haessler J, Irvin MR, Kalyani RR, Kardia SLR, Kooperberg C, Kim W, Mathias RA, McDonald ML, Mitchell BD, Peyser PA, Regan EA, Redline S, Reiner AP, Rich SS, Rotter JI, Smith JA, Weiss S, Wiggins KL, Yanek LR, Arnett D, Heard-Costa NL, Leal S, Lin D, McKnight B, Province M, van Duijn CM, North KE, Cupples LA, Liu CT. Whole-exome sequence analysis of anthropometric traits illustrates challenges in identifying effects of rare genetic variants. HGG ADVANCES 2023; 4:100163. [PMID: 36568030 PMCID: PMC9772568 DOI: 10.1016/j.xhgg.2022.100163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Accepted: 11/22/2022] [Indexed: 11/26/2022] Open
Abstract
Anthropometric traits, measuring body size and shape, are highly heritable and significant clinical risk factors for cardiometabolic disorders. These traits have been extensively studied in genome-wide association studies (GWASs), with hundreds of genome-wide significant loci identified. We performed a whole-exome sequence analysis of the genetics of height, body mass index (BMI) and waist/hip ratio (WHR). We meta-analyzed single-variant and gene-based associations of whole-exome sequence variation with height, BMI, and WHR in up to 22,004 individuals, and we assessed replication of our findings in up to 16,418 individuals from 10 independent cohorts from Trans-Omics for Precision Medicine (TOPMed). We identified four trait associations with single-nucleotide variants (SNVs; two for height and two for BMI) and replicated the LECT2 gene association with height. Our expression quantitative trait locus (eQTL) analysis within previously reported GWAS loci implicated CEP63 and RFT1 as potential functional genes for known height loci. We further assessed enrichment of SNVs, which were monogenic or syndromic variants within loci associated with our three traits. This led to the significant enrichment results for height, whereas we observed no Bonferroni-corrected significance for all SNVs. With a sample size of ∼20,000 whole-exome sequences in our discovery dataset, our findings demonstrate the importance of genomic sequencing in genetic association studies, yet they also illustrate the challenges in identifying effects of rare genetic variants.
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Fritz J, Huang T, Depner CM, Zeleznik OA, Cespedes Feliciano EM, Li W, Stone KL, Manson JE, Clish C, Sofer T, Schernhammer E, Rexrode K, Redline S, Wright KP, Vetter C. Sleep duration, plasma metabolites, and obesity and diabetes: a metabolome-wide association study in US women. Sleep 2023; 46:zsac226. [PMID: 36130143 PMCID: PMC9832513 DOI: 10.1093/sleep/zsac226] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Revised: 08/08/2022] [Indexed: 01/16/2023] Open
Abstract
Short and long sleep duration are associated with adverse metabolic outcomes, such as obesity and diabetes. We evaluated cross-sectional differences in metabolite levels between women with self-reported habitual short (<7 h), medium (7-8 h), and long (≥9 h) sleep duration to delineate potential underlying biological mechanisms. In total, 210 metabolites were measured via liquid chromatography-mass spectrometry in 9207 women from the Nurses' Health Study (NHS; N = 5027), the NHSII (N = 2368), and the Women's Health Initiative (WHI; N = 2287). Twenty metabolites were consistently (i.e. praw < .05 in ≥2 cohorts) and/or strongly (pFDR < .05 in at least one cohort) associated with short sleep duration after multi-variable adjustment. Specifically, levels of two lysophosphatidylethanolamines, four lysophosphatidylcholines, hydroxyproline and phenylacetylglutamine were higher compared to medium sleep duration, while levels of one diacylglycerol and eleven triacylglycerols (TAGs; all with ≥3 double bonds) were lower. Moreover, enrichment analysis assessing associations of metabolites with short sleep based on biological categories demonstrated significantly increased acylcarnitine levels for short sleep. A metabolite score for short sleep duration based on 12 LASSO-regression selected metabolites was not significantly associated with prevalent and incident obesity and diabetes. Associations of single metabolites with long sleep duration were less robust. However, enrichment analysis demonstrated significant enrichment scores for four lipid classes, all of which (most markedly TAGs) were of opposite sign than the scores for short sleep. Habitual short sleep exhibits a signature on the human plasma metabolome which is different from medium and long sleep. However, we could not detect a direct link of this signature with obesity and diabetes risk.
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Yu PK, Cook K, Liu J, Amin RS, Derkay C, Elden LM, Garetz SL, George AS, Ibrahim S, Ishman SL, Kirkham EM, Naqvi SK, Radcliffe J, Ross KR, Shah GB, Tapia IE, Taylor HG, Zopf DA, Redline S, Baldassari CM. Comparison of Caregiver- and Child-Reported Quality of Life in Children With Sleep-Disordered Breathing. Otolaryngol Head Neck Surg 2023; 168:74-81. [PMID: 35259027 DOI: 10.1177/01945998221083288] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Accepted: 02/08/2022] [Indexed: 11/16/2022]
Abstract
OBJECTIVE Caregivers frequently report poor quality of life (QOL) in children with sleep-disordered breathing (SDB). Our objective is to assess the correlation between caregiver- and child-reported QOL in children with mild SDB and identify factors associated with differences between caregiver and child report. STUDY DESIGN Analysis of baseline data from a multi-institutional randomized trial SETTING: Pediatric Adenotonsillectomy Trial for Snoring, where children with mild SDB (obstructive apnea-hypopnea index <3) were randomized to observation or adenotonsillectomy. METHODS The Pediatric Quality of Life Inventory (PedsQL) assessed baseline global QOL in participating children 5 to 12 years old and their caregivers. Caregiver and child scores were compared. Multivariable regression assessed whether clinical factors were associated with differences between caregiver and child report. RESULTS PedsQL scores were available for 309 families (mean child age, 7.0 years). The mean caregiver-reported PedsQL score was higher at 75.2 (indicating better QOL) than the mean child-reported score of 67.9 (P < .001). The agreement between caregiver and child total PedsQL scores was poor, with intraclass correlation coefficients of 0.03 (95% CI, -0.09 to 0.15) for children 5 to 7 years old and 0.21 (95% CI, 0.03-0.38) for children 8 to 12 years old. Higher child age and health literacy were associated with closer agreement between caregiver and child report. CONCLUSION Caregiver- and child-reported global QOL in children with SDB was weakly correlated, more so for young children. In pediatric SDB, child-perceived QOL may be poorer than that reported by caregivers. Further research is needed to assess whether similar trends exist for disease-specific QOL metrics.
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Lane JM, Qian J, Mignot E, Redline S, Scheer FAJL, Saxena R. Genetics of circadian rhythms and sleep in human health and disease. Nat Rev Genet 2023; 24:4-20. [PMID: 36028773 PMCID: PMC10947799 DOI: 10.1038/s41576-022-00519-z] [Citation(s) in RCA: 50] [Impact Index Per Article: 50.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/30/2022] [Indexed: 12/13/2022]
Abstract
Circadian rhythms and sleep are fundamental biological processes integral to human health. Their disruption is associated with detrimental physiological consequences, including cognitive, metabolic, cardiovascular and immunological dysfunctions. Yet many of the molecular underpinnings of sleep regulation in health and disease have remained elusive. Given the moderate heritability of circadian and sleep traits, genetics offers an opportunity that complements insights from model organism studies to advance our fundamental molecular understanding of human circadian and sleep physiology and linked chronic disease biology. Here, we review recent discoveries of the genetics of circadian and sleep physiology and disorders with a focus on those that reveal causal contributions to complex diseases.
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Egan KA, Lo BK, Haneuse S, Davison KK, Redline S, Taveras EM. Associations of Maternal Consumption of Sugary Beverages in Pregnancy With Infant Weight Status. Acad Pediatr 2023; 23:109-116. [PMID: 35577285 PMCID: PMC9653508 DOI: 10.1016/j.acap.2022.05.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Revised: 03/09/2022] [Accepted: 05/07/2022] [Indexed: 01/19/2023]
Abstract
OBJECTIVES To examine associations of maternal consumption of 100% juice and sugar-sweetened beverages (SSBs) in the third trimester of pregnancy with infant weight status at 6 and 12 months. METHODS We studied 379 mother-infant dyads from Rise & SHINE, a prospective cohort study. Exposures were maternal consumption of 100% juice and SSBs in the third trimester. Outcome measures were infant weight-for-length (WFL) z-scores at 6 and 12 months and rapid infant weight gain (RIWG; change in weight-for-age z-score ≥0.67) from birth to 6 and 12 months. RESULTS Mean (SD) maternal age was 32.8 (5.1) years; 71.7% reported household income ≥$50,000. In the third trimester, nearly daily or daily consumption of 100% juice and SSBs was 25.9% and 16.6%, respectively. Mean (SD) WFL z-scores at 6 and 12 months were 0.35 (0.96) and 0.50 (0.98). RIWG was present in 30.2% and 36.6% of infants from birth to 6 months and birth to 12 months, respectively. In multivariable models, 100% juice consumption was associated with higher WFL z-score at 6 months (β = 0.26; 95% confidence interval [CI]: 0.03, 0.49) and higher odds of RIWG from birth to 6 months (adjusted odds ratio [aOR] = 2.09; 95%CI: 1.23, 3.56) and birth to 12 months (aOR = 1.85; 95%CI: 1.04, 3.28). 100% juice consumption was not associated with WFL z-score at 12 months and SSB consumption was not associated with any of the outcomes. CONCLUSIONS Consumption of 100% juice, but not SSBs, in the third trimester of pregnancy is associated with infant weight status at 6 months and RIWG.
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