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Vivek S, Crimmins EM, Kim JK, Faul J, Jacobs DR, Guan W, Thyagarajan B. Impaired lung function is associated with elevated blood biomarkers of AD/ADRD: Unraveling the interplay with risk of dementia. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2025:2025.05.29.25328529. [PMID: 40492085 PMCID: PMC12148282 DOI: 10.1101/2025.05.29.25328529] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2025]
Abstract
Rationale We hypothesize that impaired lung function contributes to dementia risk via biological mechanisms reflected in AD/ADRD-related protein biomarkers, and aim to evaluate their role in mediating this relationship. Methods Serum p-Tau181 and plasma Aβ42/40 ratio, NfL, and GFAP were measured in 4,072 participants (mean age 66 ± 10; 59% women) in the 2016 Health and Retirement Study. Peak Expiratory Flow (PEF) was assessed in 2012/2014, and cognitive function was measured biennially from 2014-2020 to determine dementia status. Impaired lung function (ILF) was defined as PEF <80% predicted. Multivariable regression examined associations between lung function and AD biomarkers; causal mediation analysis evaluated their role in linking lung function to incident dementia. Results In total, 881 (21.6%) participants had ILF and 272 (6.8%) participants developed dementia. After adjusting for demographics, education, BMI, smoking, comorbidities, inflammation, eGFR and APOE e4 , ILF was associated with a higher risk of dementia (HR=1.74; 95% CI (1.34, 225)). Individuals with ILF had 0.10 SD higher NfL (SE= 0.03; p= 0.004) and 0.09 SD higher p-Tau 181 (SE= 0.03; p= 0.002) compared to those without ILF. NfL mediated 7.3% (p=0.01) of the total effect of ILF on dementia, while p-Tau 181 mediated 5% (p=0.05) of this association. Conclusions ILF was associated with elevated levels of neurodegeneration markers NfL and p-Tau 181, which partially mediated its relationship with dementia risk. These findings highlight the importance of monitoring blood protein biomarkers in individuals with impaired lung health to facilitate early interventions.
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Elmståhl S, Ellström K, Månsson T, Basna R, Siennicki-Lantz A, Abul-Kasim K. Associations between cerebral small vessel disease and reduced forced vital capacity and expiratory volume in a general healthy Swedish elder population study-Good Aging in Skåne. J Alzheimers Dis 2025:13872877251333793. [PMID: 40267322 DOI: 10.1177/13872877251333793] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/25/2025]
Abstract
BackgroundCerebral small vessel disease (CSVD) is one of the most important causes of cognitive decline. Only a few previous studies have evaluated lung function measures in relation to brain neuropathological changes, and even less studies on specific lesions and areas that could shed light on mechanisms of CSVD.ObjectiveThe aim was to study the association between lung function and CSVD in the general elder population.Methods379 participants, aged 72-87 years from the general population study 'Good Aging in Skåne study (GÅS)'were investigated with a 3 T MRI brain examination and spirometry. Z-scores of FEV1 and FVC were calculated using the GLI 2012 equations. Age-adjusted associations between white matter hyperintensities (WMH), medial temporal lobe atrophy (MTA), lacunar infarction, cerebral atrophies and cerebral microbleeds and lung function were calculated and stratified for sex.ResultsDecreased FEV1 and FVC z-scores below ≤ -1.0 were both associated with increased risk of WMI and global cortical atrophy. Decreased FVC z-scores were also associated with MTA and lacunar infarction in women and precuneus atrophy in men. The associations for WMH, MTA and lacunar infarctions and higher STRIVE score were noted among women, but not among men. FEV1 z scores were not related to diabetes, coronary artery disease or stroke.ConclusionsLower lung function was associated to MRI markers of CSVD in this general healthy population, particularly with WMH, especially for women. Although possible shared risk factors exist between lung and heart disease, lung function should be recognized in future studies on CSVD.
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Affiliation(s)
- Sölve Elmståhl
- Department of Clinical Sciences, Division of Geriatric Medicine, Lund University, Malmö, Sweden
| | - Katarina Ellström
- Department of Clinical Sciences, Division of Geriatric Medicine, Lund University, Malmö, Sweden
| | - Tomas Månsson
- Department of Clinical Sciences, Division of Geriatric Medicine, Lund University, Malmö, Sweden
| | - Rani Basna
- Department of Clinical Sciences, Division of Geriatric Medicine, Lund University, Malmö, Sweden
| | | | - Kasim Abul-Kasim
- Department of Clinical Sciences, Division of Diagnostic Radiology, Lund University, Malmö, Sweden
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Yaqub A, Bis JC, Frenzel S, Koini M, Mbangdadji D, Peloso GM, Talluri R, Alonso A, Bahls M, Bülow R, Dörr M, Felix S, Fohner A, Friedrich N, Hofer E, Kavousi M, Launer LJ, Le T, Longstreth W, Mosley TH, Vernooij MW, Völzke H, Wittfeld K, Beiser AS, Grabe HJ, Gudnason V, Ikram MA, Psaty BM, Schmidt R, Simino J, Seshadri S, Wolters FJ, as Cross-Cohort Collaboration. Clinical and Imaging Markers of Cardiac Function and Brain Health: A Meta-Analysis of Community-Based Studies. Neurology 2025; 104:e213421. [PMID: 40138616 PMCID: PMC11981472 DOI: 10.1212/wnl.0000000000213421] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2024] [Accepted: 02/17/2025] [Indexed: 03/29/2025] Open
Abstract
BACKGROUND AND OBJECTIVES Cardiac dysfunction and heart failure are linked to cognitive impairment, but the underlying brain pathology remains undetermined. We investigated associations between cardiac function (measured by echocardiography or cardiac MRI), clinical heart failure, and structural markers on brain MRI, including volumes of gray and white matter (WM), the hippocampus, and white matter hyperintensities (WMHs). METHODS We leverage data from 7 prospective, community-based cohorts across Europe and the United States, all part of the Cross-Cohort Collaboration. The included cohorts were the Age, Gene/Environment Susceptibility-Reykjavik Study, Atherosclerosis Risk in Communities study, Austrian Stroke Prevention Study, Cardiovascular Health Study, Framingham Heart Study, Rotterdam Study, and Study of Health in Pomerania (SHIP-START and SHIP-TREND). Each cohort performed cross-sectional multivariable linear regression analyses, after which estimates were pooled through random-effects meta-analysis. Heterogeneity was assessed by the I2 index (%). RESULTS Among 10,889 participants (mean age: 66.8 years, range 52.0-76.0; 56.7% women), markers of systolic dysfunction were consistently associated with smaller total brain volume (TBV) (e.g., adjusted standardized mean difference for moderate to severe dysfunction -0.19, 95% CI -0.31 to -0.07, I2 = 20%). Impaired relaxation and restrictive diastolic dysfunction were also associated with smaller TBV (e.g., for impaired relaxation -0.08, 95% CI -0.15 to -0.01, I2 = 32%) and hippocampal volume (-0.18, 95% CI -0.33 to -0.03, I2 = 0%), with similar results for the E/A-ratio. Systolic and diastolic dysfunction was not consistently associated with volume of WMHs. Among 5 cohorts with available data, 302 (3.4%) participants had clinical heart failure, which was associated with smaller brain volumes, particularly in the hippocampus (-0.13, 95% CI -0.23 to -0.02, I2 = 1%). DISCUSSION In this large study among community-dwelling adults, subclinical cardiac dysfunction was associated with brain imaging markers of neurodegeneration. These findings encourage longitudinal investigations on the effect of maintaining cardiac function on brain health.
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Affiliation(s)
- Amber Yaqub
- Department of Epidemiology, Erasmus MC, Rotterdam, the Netherlands
| | - Joshua C Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle
| | - Stefan Frenzel
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Germany
| | - Marisa Koini
- Division of Neurogeriatrics, Department of Neurology, Medical University of Graz, Austria
| | - Djass Mbangdadji
- Laboratory of Epidemiology and Population Sciences, Intramural Research Program, National Institute on Aging, Baltimore, MD
| | - Gina M Peloso
- Department of Neurology, The University of Texas Health Science Center at San Antonio
- Glenn Biggs Institute for Alzheimer and Neurodegenerative Diseases, The University of Texas Health Science Center at San Antonio
| | - Rajesh Talluri
- Department of Data Science, John D. Bower School of Population Health, University of Mississippi Medical Center, Jackson
| | - Alvaro Alonso
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA
| | - Martin Bahls
- Department of Internal Medicine B, University Medicine Greifswald, Germany
| | - Robin Bülow
- Institute of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Germany
| | - Marcus Dörr
- Department of Internal Medicine B, University Medicine Greifswald, Germany
| | - Stephan Felix
- Department of Internal Medicine B, University Medicine Greifswald, Germany
| | - Alison Fohner
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle
- Department of Epidemiology, University of Washington, Seattle
| | - Nele Friedrich
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Germany
- German Centre for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, Germany
| | - Edith Hofer
- Division of Neurogeriatrics, Department of Neurology, Medical University of Graz, Austria
| | - Maryam Kavousi
- Department of Epidemiology, Erasmus MC, Rotterdam, the Netherlands
| | - Lenore J Launer
- Laboratory of Epidemiology and Population Sciences, Intramural Research Program, National Institute on Aging, Baltimore, MD
| | - Tran Le
- Department of Data Science, John D. Bower School of Population Health, University of Mississippi Medical Center, Jackson
| | - Will Longstreth
- Institute of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Germany
- Department of Neurology, University of Washington, Seattle
| | - Thomas H Mosley
- Gertrude C. Ford Memory Impairment and Neurodegenerative Dementia (MIND) Center, University of Mississippi Medical Center, Jackson
- Department of Medicine and Neurology, University of Mississippi Medical Center, Jackson
| | - Meike W Vernooij
- Department of Epidemiology, Erasmus MC, Rotterdam, the Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Henry Völzke
- German Centre for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, Germany
- Institute for Community Medicine, University Medicine Greifswald, Germany
| | - Katharina Wittfeld
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Germany
| | - Alexa S Beiser
- Department of Biostatistics, Boston University School of Public Health, MA
- Department of Neurology, Boston School of Medicine, MA
| | - Hans J Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Germany
| | - Vilmundur Gudnason
- Icelandic Heart Association, Kopavogur, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik
| | | | - Bruce M Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle
- Department of Epidemiology, University of Washington, Seattle
- Department of Health Systems and Population Health, University of Washington, Seattle; and
| | - Reinhold Schmidt
- Division of Neurogeriatrics, Department of Neurology, Medical University of Graz, Austria
| | - Jeannette Simino
- Department of Data Science, John D. Bower School of Population Health, University of Mississippi Medical Center, Jackson
- Gertrude C. Ford Memory Impairment and Neurodegenerative Dementia (MIND) Center, University of Mississippi Medical Center, Jackson
| | - Sudha Seshadri
- Department of Neurology, The University of Texas Health Science Center at San Antonio
- Glenn Biggs Institute for Alzheimer and Neurodegenerative Diseases, The University of Texas Health Science Center at San Antonio
- Department of Neurology, Boston School of Medicine, MA
- Framingham Heart Study, Framingham, MA
| | - Frank J Wolters
- Department of Epidemiology, Erasmus MC, Rotterdam, the Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
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Jiang Q, Liu J, Huang S, Wang XY, Chen X, Liu GH, Ye K, Song W, Masters CL, Wang J, Wang YJ. Antiageing strategy for neurodegenerative diseases: from mechanisms to clinical advances. Signal Transduct Target Ther 2025; 10:76. [PMID: 40059211 PMCID: PMC11891338 DOI: 10.1038/s41392-025-02145-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2024] [Revised: 11/29/2024] [Accepted: 01/15/2025] [Indexed: 05/13/2025] Open
Abstract
In the context of global ageing, the prevalence of neurodegenerative diseases and dementia, such as Alzheimer's disease (AD), is increasing. However, the current symptomatic and disease-modifying therapies have achieved limited benefits for neurodegenerative diseases in clinical settings. Halting the progress of neurodegeneration and cognitive decline or even improving impaired cognition and function are the clinically meaningful goals of treatments for neurodegenerative diseases. Ageing is the primary risk factor for neurodegenerative diseases and their associated comorbidities, such as vascular pathologies, in elderly individuals. Thus, we aim to elucidate the role of ageing in neurodegenerative diseases from the perspective of a complex system, in which the brain is the core and peripheral organs and tissues form a holistic network to support brain functions. During ageing, the progressive deterioration of the structure and function of the entire body hampers its active and adaptive responses to various stimuli, thereby rendering individuals more vulnerable to neurodegenerative diseases. Consequently, we propose that the prevention and treatment of neurodegenerative diseases should be grounded in holistic antiageing and rejuvenation means complemented by interventions targeting disease-specific pathogenic events. This integrated approach is a promising strategy to effectively prevent, pause or slow down the progression of neurodegenerative diseases.
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Affiliation(s)
- Qiu Jiang
- Department of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, China
- Chongqing Key Laboratory of Ageing and Brain Diseases, Chongqing, China
| | - Jie Liu
- Department of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, China
- Chongqing Key Laboratory of Ageing and Brain Diseases, Chongqing, China
| | - Shan Huang
- Department of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, China
- Chongqing Key Laboratory of Ageing and Brain Diseases, Chongqing, China
| | - Xuan-Yue Wang
- Chongqing Institute for Brain and Intelligence, Guangyang Bay Laboratory, Chongqing, China
| | - Xiaowei Chen
- Chongqing Institute for Brain and Intelligence, Guangyang Bay Laboratory, Chongqing, China
- Brain Research Center, Third Military Medical University, Chongqing, China
| | - Guang-Hui Liu
- University of Chinese Academy of Sciences, Beijing, China
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Keqiang Ye
- Faculty of Life and Health Sciences, and Brain Cognition and Brain Disease Institute (BCBDI), Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Weihong Song
- Institute of Aging, Key Laboratory of Alzheimer's Disease of Zhejiang Province. Zhejiang Clinical Research Center for Mental Disorders, School of Mental Health and The Affiliated Kangning Hospital, Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health), Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Colin L Masters
- The Florey Institute, The University of Melbourne, Parkville, VIC, Australia.
| | - Jun Wang
- Department of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, China.
- Chongqing Key Laboratory of Ageing and Brain Diseases, Chongqing, China.
| | - Yan-Jiang Wang
- Department of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, China.
- Chongqing Key Laboratory of Ageing and Brain Diseases, Chongqing, China.
- State Key Laboratory of Trauma and Chemical Poisoning, Chongqing, China.
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Yeshaw Y, Madakkatel I, Mulugeta A, Lumsden A, Hypponen E. Machine learning to discover factors predicting volume of white matter hyperintensities: Insights from the UK Biobank. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2025; 17:e70090. [PMID: 40135150 PMCID: PMC11934216 DOI: 10.1002/dad2.70090] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/24/2024] [Revised: 12/20/2024] [Accepted: 01/20/2025] [Indexed: 03/27/2025]
Abstract
INTRODUCTION Brain white matter hyperintensities (WMHs) reflect the risks of stroke, dementia, and overall mortality. METHODS We used a hypothesis-free gradient boosting decision tree (GBDT) approach and conventional statistical methods to discover risk factors associated with volume of WMHs. The GBDT models considered data on 2891 input features, collected ∼10 years prior to volume of WMH measurements from 44,053 participants. Top 3% of features, ranked by Shapley values, were taken forward to epidemiological analyses using linear regression. RESULTS Adiposity, lung function, and indicators of metabolic health (eg, glycated hemoglobin, hypertension, alkaline phosphatase, microalbumin, and urate) contribute to WMH prediction. Of lifestyle factors, smoking had the strongest association. Time spent outdoors, creatinine, and several red blood cell indices were among the identified less-known predictors of WMHs. CONCLUSIONS Obesity, high blood pressure, lung function, metabolic abnormalities, and lifestyle are key contributors to WMHs, providing opportunities to prevent or reduce their development. Highlights Obesity and related metabolic abnormalities were linked with WMHs.Associations with time spent outdoors, creatinine, some red blood cell indices and height were among the less-known risk factors identified.Action on blood pressure, metabolic abnormalities, and adequate oxygenation may help to prevent WMHs.Biomarker links may suggest simple blood tests could aid in early dementia prediction.
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Affiliation(s)
- Yigizie Yeshaw
- Australian Centre for Precision HealthUniversity of South AustraliaAdelaideSouth AustraliaAustralia
- UniSA Clinical and Health SciencesUniversity of South AustraliaAdelaideSouth AustraliaAustralia
- South Australian Health and Medical Research InstituteAdelaideSouth AustraliaAustralia
- Department of Epidemiology and BiostatisticsCollege of Medicine and Health SciencesUniversity of GondarGondarEthiopia
| | - Iqbal Madakkatel
- Australian Centre for Precision HealthUniversity of South AustraliaAdelaideSouth AustraliaAustralia
- UniSA Clinical and Health SciencesUniversity of South AustraliaAdelaideSouth AustraliaAustralia
- South Australian Health and Medical Research InstituteAdelaideSouth AustraliaAustralia
| | - Anwar Mulugeta
- Australian Centre for Precision HealthUniversity of South AustraliaAdelaideSouth AustraliaAustralia
- UniSA Clinical and Health SciencesUniversity of South AustraliaAdelaideSouth AustraliaAustralia
- South Australian Health and Medical Research InstituteAdelaideSouth AustraliaAustralia
- Department of Pharmacology and Clinical PharmacyCollege of Health SciencesAddis AbabaEthiopia
| | - Amanda Lumsden
- Australian Centre for Precision HealthUniversity of South AustraliaAdelaideSouth AustraliaAustralia
- UniSA Clinical and Health SciencesUniversity of South AustraliaAdelaideSouth AustraliaAustralia
- South Australian Health and Medical Research InstituteAdelaideSouth AustraliaAustralia
| | - Elina Hypponen
- Australian Centre for Precision HealthUniversity of South AustraliaAdelaideSouth AustraliaAustralia
- UniSA Clinical and Health SciencesUniversity of South AustraliaAdelaideSouth AustraliaAustralia
- South Australian Health and Medical Research InstituteAdelaideSouth AustraliaAustralia
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Smith EE, Biessels GJ, Gao V, Gottesman RF, Liesz A, Parikh NS, Iadecola C. Systemic determinants of brain health in ageing. Nat Rev Neurol 2024; 20:647-659. [PMID: 39375564 PMCID: PMC11926994 DOI: 10.1038/s41582-024-01016-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/20/2024] [Indexed: 10/09/2024]
Abstract
Preservation of brain health is a worldwide priority. The traditional view is that the major threats to the ageing brain lie within the brain itself. Consequently, therapeutic approaches have focused on protecting the brain from these presumably intrinsic pathogenic processes. However, an increasing body of evidence has unveiled a previously under-recognized contribution of peripheral organs to brain dysfunction and damage. Thus, in addition to the well-known impact of diseases of the heart and endocrine glands on the brain, accumulating data suggest that dysfunction of other organs, such as gut, liver, kidney and lung, substantially affects the development and clinical manifestation of age-related brain pathologies. In this Review, a framework is provided to indicate how organ dysfunction can alter brain homeostasis and promote neurodegeneration, with a focus on dementia. We delineate the associations of subclinical dysfunction in specific organs with dementia risk and provide suggestions for public health promotion and clinical management.
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Affiliation(s)
- Eric E Smith
- Department of Clinical Neurosciences and Hotchkiss Brain Institute, University of Calgary, Calgary, Canada.
| | - Geert Jan Biessels
- Department of Neurology, UMC Utrecht Brain Center, University Medical Centre Utrecht, Utrecht, Netherlands
| | - Virginia Gao
- Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, USA
| | | | - Arthur Liesz
- Institute for Stroke and Dementia Research, University Medical Center Munich, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Neal S Parikh
- Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, USA
| | - Costantino Iadecola
- Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, USA.
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Grande G, Li Y, Trevisan C, Rizzuto D, Kalpouzos G, Ding M, Laukka EJ, Bellander T, Fratiglioni L, Qiu C. Lung function in relation to brain aging and cognitive transitions in older adults: A population-based cohort study. Alzheimers Dement 2024; 20:5662-5673. [PMID: 38970219 PMCID: PMC11350049 DOI: 10.1002/alz.14079] [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: 10/17/2023] [Revised: 04/27/2024] [Accepted: 05/29/2024] [Indexed: 07/08/2024]
Abstract
BACKGROUND We investigated the association of peak expiratory flow (PEF) with dementia; cognitive impairment, no dementia (CIND); and transition from CIND to dementia, and possible underlying neuropathological mechanisms. METHODS A population-based cohort of adults aged 60+ was followed over 15 years to detect dementia (Diagnostic and Statistical Manual of Mental Disorders, 4th edition criteria), CIND (assessed through a cognitive battery), and progression from CIND to dementia, in relation to baseline PEF observations. A subsample (n = 462) had 6-year follow-up data on brain magnetic resonance imaging markers of neurodegeneration and small vessel disease. RESULTS In fully adjusted models, poor PEF performance (< 10th vs. ≥ 80th percentile) was associated with increased hazards for dementia (hazard ratio [HR] = 1.89; 95% confidence interval [CI] = 1.23-2.92) and CIND (HR = 1.55; 95% CI = 1.01-2.38) and CIND progression to dementia, although not statistically significantly (HR = 2.44; 95% CI = 0.78-6.88). People with poor PEF also experienced the fastest ventricular enlargement (β coefficient = 0.67 mL/year; 95% CI = 0.13-1.21) and had the highest likelihood of developing lacunes (odds ratio = 5.05; 95% CI = 1.01-25.23). DISCUSSION Poor lung function contributes to cognitive deterioration possibly through accelerated brain atrophy and microvascular damage. HIGHLIGHTS Poor lung function increased the risk of dementia and mild cognitive impairment (MCI). Poor lung function accelerated the progression from MCI to dementia. Poor lung function was linked to brain microvascular damage and global brain atrophy.
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Affiliation(s)
- Giulia Grande
- Aging Research CenterDepartment of NeurobiologyCare Sciences and SocietyKarolinska Institutet and Stockholm UniversityStockholmSweden
- Stockholm Gerontology Research CentreStockholmSweden
| | - Yuanjing Li
- Aging Research CenterDepartment of NeurobiologyCare Sciences and SocietyKarolinska Institutet and Stockholm UniversityStockholmSweden
| | - Caterina Trevisan
- Aging Research CenterDepartment of NeurobiologyCare Sciences and SocietyKarolinska Institutet and Stockholm UniversityStockholmSweden
- Department of Medical SciencesUniversity of FerraraFerraraItaly
| | - Debora Rizzuto
- Aging Research CenterDepartment of NeurobiologyCare Sciences and SocietyKarolinska Institutet and Stockholm UniversityStockholmSweden
- Stockholm Gerontology Research CentreStockholmSweden
| | - Grégoria Kalpouzos
- Aging Research CenterDepartment of NeurobiologyCare Sciences and SocietyKarolinska Institutet and Stockholm UniversityStockholmSweden
| | - Mozhu Ding
- Unit of EpidemiologyInstitute of Environmental MedicineKarolinska InstitutetStockholmSweden
| | - Erika J Laukka
- Aging Research CenterDepartment of NeurobiologyCare Sciences and SocietyKarolinska Institutet and Stockholm UniversityStockholmSweden
- Stockholm Gerontology Research CentreStockholmSweden
| | - Tom Bellander
- Unit of EpidemiologyInstitute of Environmental MedicineKarolinska InstitutetStockholmSweden
| | - Laura Fratiglioni
- Aging Research CenterDepartment of NeurobiologyCare Sciences and SocietyKarolinska Institutet and Stockholm UniversityStockholmSweden
- Stockholm Gerontology Research CentreStockholmSweden
| | - Chengxuan Qiu
- Aging Research CenterDepartment of NeurobiologyCare Sciences and SocietyKarolinska Institutet and Stockholm UniversityStockholmSweden
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Dong B, Yue Y, Wang Z, Sun M, Wang Y. Association between physical activity, peak expiratory flow, and cognitive function in aging: a cross-sectional analysis. BMC Geriatr 2024; 24:460. [PMID: 38797829 PMCID: PMC11129504 DOI: 10.1186/s12877-024-05080-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Accepted: 05/14/2024] [Indexed: 05/29/2024] Open
Abstract
BACKGROUND The aging global population is experiencing escalating challenges related to cognitive deficits and dementia. This study explored the interplay between pulmonary function, physical activity, and cognitive function in older U.S. adults to identify modifiable risk factors for cognitive decline. METHODS Utilizing NHANES 2011-2012 data, we conducted a cross-sectional analysis of 729 participants aged ≥ 60 years. Cognitive function, peak expiratory flow (PEF), and physical activity were assessed. Weighted logistic regression and mediation analyses were employed to examine associations. RESULTS The sample size was 729 (weighted mean [SD] age, 67.1 [5.3] years; 53.6% female participants). Preliminary correlation analysis indicated a positive correlation between the global cognitive score and physical activity (β = 0.16; p < 0.001), recreational activity (β = 0.22; p < 0.001), and PEF in percent predicted (PEF%) (β = 0.18; p < 0.001). Compared to those with a PEF% >100%, the PEF% (80-100%) group (OR, 2.66; 95% CI, 1.34-5.29; p = 0.005) and PEF% <80% group (OR, 3.36; 95% CI, 1.67-6.76; p = 0.001) were significantly associated with higher cognitive deficits risk. Recreational activity meeting guidelines was linked to a lower risk of cognitive deficits (OR, 0.24; 95% CI, 0.10-0.57; p = 0.001). Mediation analysis demonstrated that PEF mediates the relationship between physical activity and cognitive function. CONCLUSION This study revealed significant associations between lower PEF, diminished physical activity, and increased cognitive deficits in elderly individuals. The results supported the hypothesis that pulmonary function may mediate the connection between activity and cognitive health, emphasizing the importance of respiratory health in cognitive aging. Recognizing these associations is crucial for clinical care and public health policy aiming to mitigate cognitive decline in aging populations. While these findings are intriguing, validation through longitudinal design studies is deemed necessary.
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Affiliation(s)
- Bin Dong
- Department of Geriatrics, Jilin Geriatrics Clinical Research Center, The First Hospital of Jilin University, Changchun, 130021, China
| | - Yang Yue
- School of Education, Changchun Normal University, Changchun, China
| | - Zhe Wang
- Department of Geriatrics, Jilin Geriatrics Clinical Research Center, The First Hospital of Jilin University, Changchun, 130021, China
| | - Min Sun
- Department of Geriatrics, Jilin Geriatrics Clinical Research Center, The First Hospital of Jilin University, Changchun, 130021, China
| | - Yuehui Wang
- Department of Geriatrics, Jilin Geriatrics Clinical Research Center, The First Hospital of Jilin University, Changchun, 130021, China.
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Fukatsu-Chikumoto A, Hirano T, Takahashi S, Ishida T, Yasuda K, Donishi T, Suga K, Doi K, Oishi K, Ohata S, Murata Y, Yamaji Y, Asami-Noyama M, Edakuni N, Kakugawa T, Matsunaga K. Correlation between frailty and reduction in cortical thickness in patients with chronic obstructive pulmonary disease. Sci Rep 2024; 14:6106. [PMID: 38480723 PMCID: PMC10937661 DOI: 10.1038/s41598-024-53933-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Accepted: 02/06/2024] [Indexed: 03/17/2024] Open
Abstract
Physical inactivity and cognitive impairment in patients with chronic obstructive pulmonary disease (COPD) can lead to frailty and poor prognoses. However, little is known regarding the association between frailty and the human brain. We hypothesized that the brain structure could change according to frailty in patients with COPD and focused on cortical thickness. Cortical thickness measured by magnetic resonance imaging and frailty scores using the Kihon Checklist (KCL) were assessed in 40 patients with stable COPD and 20 healthy controls. Among the 34 regions assessed, multiple regions were thinner in patients with COPD than in healthy individuals (p < 0.05). We found significant negative correlations between the eight regions and the KCL scores only in patients with COPD. After adjusting for age and cognitive impairment, the association between the left and six right regions remained statistically significant. The correlation coefficient was the strongest in the bilateral superior frontal gyrus (left: ρ = - 0.5319, p = 0.0006) (right: ρ = - 0.5361, p = 0.0005). Interestingly, among the KCL scores, the daily activity domain showed the strongest correlation (sensitivity, 90%; specificity, 73%) with the bottom quartile of the reduction in the superior frontal gyrus. Frailty in patients with COPD is associated with a thickness reduction in the cortical regions, reflecting social vulnerability.
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Affiliation(s)
- Ayumi Fukatsu-Chikumoto
- Department of Respiratory Medicine and Infectious Disease, Graduate School of Medicine, Yamaguchi University, 1-1-1 Minami-Kogushi, Ube, 755-8505, Japan
| | - Tsunahiko Hirano
- Department of Respiratory Medicine and Infectious Disease, Graduate School of Medicine, Yamaguchi University, 1-1-1 Minami-Kogushi, Ube, 755-8505, Japan.
| | - Shun Takahashi
- Department of Psychiatry, Osaka University Graduate School of Medicine, Suita, 565-0871, Japan
- Department of Neuropsychiatry, Wakayama Medical University, Wakayama, 641-0012, Japan
- Graduate School of Rehabilitation Science, Osaka Metropolitan University, Habikino, 583-8555, Japan
- Clinical Research and Education Center, Asakayama General Hospital, Sakai, 590-0018, Japan
| | - Takuya Ishida
- Department of Neuropsychiatry, Wakayama Medical University, Wakayama, 641-0012, Japan
| | - Kasumi Yasuda
- Department of Neuropsychiatry, Wakayama Medical University, Wakayama, 641-0012, Japan
| | - Tomohiro Donishi
- Department of System Neurophysiology, Wakayama Medical University, Wakayama, 641-0012, Japan
| | - Kazuyoshi Suga
- Department of Radiology, St. Hill Hospital, Ube, 755-0155, Japan
| | - Keiko Doi
- Department of Pulmonology and Gerontology, Graduate School of Medicine, Yamaguchi University, Ube, 755-8505, Japan
| | - Keiji Oishi
- Department of Respiratory Medicine and Infectious Disease, Graduate School of Medicine, Yamaguchi University, 1-1-1 Minami-Kogushi, Ube, 755-8505, Japan
| | - Shuichiro Ohata
- Department of Respiratory Medicine and Infectious Disease, Graduate School of Medicine, Yamaguchi University, 1-1-1 Minami-Kogushi, Ube, 755-8505, Japan
| | - Yoriyuki Murata
- Department of Respiratory Medicine and Infectious Disease, Graduate School of Medicine, Yamaguchi University, 1-1-1 Minami-Kogushi, Ube, 755-8505, Japan
| | - Yoshikazu Yamaji
- Department of Respiratory Medicine and Infectious Disease, Graduate School of Medicine, Yamaguchi University, 1-1-1 Minami-Kogushi, Ube, 755-8505, Japan
| | - Maki Asami-Noyama
- Department of Respiratory Medicine and Infectious Disease, Graduate School of Medicine, Yamaguchi University, 1-1-1 Minami-Kogushi, Ube, 755-8505, Japan
| | - Nobutaka Edakuni
- Department of Respiratory Medicine and Infectious Disease, Graduate School of Medicine, Yamaguchi University, 1-1-1 Minami-Kogushi, Ube, 755-8505, Japan
| | - Tomoyuki Kakugawa
- Department of Pulmonology and Gerontology, Graduate School of Medicine, Yamaguchi University, Ube, 755-8505, Japan
| | - Kazuto Matsunaga
- Department of Respiratory Medicine and Infectious Disease, Graduate School of Medicine, Yamaguchi University, 1-1-1 Minami-Kogushi, Ube, 755-8505, Japan
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Wrzesień A, Andrzejewski K, Jampolska M, Kaczyńska K. Respiratory Dysfunction in Alzheimer's Disease-Consequence or Underlying Cause? Applying Animal Models to the Study of Respiratory Malfunctions. Int J Mol Sci 2024; 25:2327. [PMID: 38397004 PMCID: PMC10888758 DOI: 10.3390/ijms25042327] [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: 01/17/2024] [Revised: 02/09/2024] [Accepted: 02/14/2024] [Indexed: 02/25/2024] Open
Abstract
Alzheimer's disease (AD) is a neurodegenerative brain disease that is the most common cause of dementia among the elderly. In addition to dementia, which is the loss of cognitive function, including thinking, remembering, and reasoning, and behavioral abilities, AD patients also experience respiratory disturbances. The most common respiratory problems observed in AD patients are pneumonia, shortness of breath, respiratory muscle weakness, and obstructive sleep apnea (OSA). The latter is considered an outcome of Alzheimer's disease and is suggested to be a causative factor. While this narrative review addresses the bidirectional relationship between obstructive sleep apnea and Alzheimer's disease and reports on existing studies describing the most common respiratory disorders found in patients with Alzheimer's disease, its main purpose is to review all currently available studies using animal models of Alzheimer's disease to study respiratory impairments. These studies on animal models of AD are few in number but are crucial for establishing mechanisms, causation, implementing potential therapies for respiratory disorders, and ultimately applying these findings to clinical practice. This review summarizes what is already known in the context of research on respiratory disorders in animal models, while pointing out directions for future research.
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Affiliation(s)
| | | | | | - Katarzyna Kaczyńska
- Department of Respiration Physiology, Mossakowski Medical Research Institute, Polish Academy of Sciences, 02-106 Warsaw, Poland; (A.W.); (K.A.); (M.J.)
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Shrestha S, Zhu X, Sullivan KJ, Simino J, Lutsey PL, Gottesman RF, London SJ, Griswold ME, Mosley TH. Lung Function and Brain MRI Outcomes in the Atherosclerosis Risk in Communities Neurocognitive Study. J Alzheimers Dis 2024; 100:297-308. [PMID: 38848187 PMCID: PMC11223445 DOI: 10.3233/jad-240162] [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] [Indexed: 06/09/2024]
Abstract
Background Brain imaging studies may provide etiologic insight into observed links between lung function and dementia and stroke. Objective We evaluated associations of lung function measures with brain MRI markers of vascular and neurodegenerative disease in the ARIC Neurocognitive Study, as few studies have examined the associations. Methods Lung function was measured at participants' midlife in 1990-1992 (mean age = 56±5 years) and later-life in 2011-2013 (mean age = 76±5 years), and brain MRI was performed in 2011-2013. Linear regression models were used to examine the associations of lung function with brain and white matter hyperintensity (WMH) volumes, and logistic regression models were used for cerebral infarcts and microbleeds, adjusting for potential confounders. Results In cross-sectional analysis (i.e., examining later-life lung function and MRI markers, n = 1,223), higher forced-expiratory volume in one second (FEV1) and forced vital capacity (FVC) were associated with larger brain and lower WMH volumes [e.g., 8.62 (95% CI:2.54-14.71) cm3 greater total brain volume per one-liter higher FEV1]. No association was seen with microbleeds in the overall sample, but higher FVC was associated with lower odds of microbleeds in never-smokers and higher odds in ever-smokers. In the cross-temporal analysis (i.e., associations with midlife lung function, n = 1,787), higher FVC levels were significantly associated with lower later-life brain volumes. Conclusions Our results support modest associations of better lung function with less neurodegenerative and cerebrovascular pathology, although findings for microbleeds were unexpected in ever-smokers.
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Affiliation(s)
- Srishti Shrestha
- The Memory Impairment and Neurodegenerative Dementia Center, University of Mississippi Medical Center, Jackson, MS
| | - Xiaoqian Zhu
- The Memory Impairment and Neurodegenerative Dementia Center, University of Mississippi Medical Center, Jackson, MS
| | - Kevin J. Sullivan
- The Memory Impairment and Neurodegenerative Dementia Center, University of Mississippi Medical Center, Jackson, MS
| | - Jeannette Simino
- The Memory Impairment and Neurodegenerative Dementia Center, University of Mississippi Medical Center, Jackson, MS
- Department of Data Science, John D. Bower School of Population Health, University of Mississippi Medical Center, Jackson, MS
| | - Pamela L. Lutsey
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN
| | - Rebecca F. Gottesman
- Stroke Branch, National Institute of Neurological Disorders and Stroke Intramural Research Program, Bethesda, MD
| | - Stephanie J. London
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC
| | - Michael E. Griswold
- The Memory Impairment and Neurodegenerative Dementia Center, University of Mississippi Medical Center, Jackson, MS
| | - Thomas H. Mosley
- The Memory Impairment and Neurodegenerative Dementia Center, University of Mississippi Medical Center, Jackson, MS
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Estrella ML, Tarraf W, Kuwayama S, Gallo LC, Salazar CR, Stickel AM, Mattei J, Vásquez PM, Eldeirawi KM, Perreira KM, Penedo FJ, Isasi CR, Cai J, Zeng D, González HM, Daviglus ML, Lamar M. Associations of Allostatic Load with Level of and Change in Cognitive Function Among Middle-Aged and Older Hispanic/Latino Adults: The Study of Latinos-Investigation of Neurocognitive Aging (SOL-INCA). J Alzheimers Dis 2024; 99:1047-1064. [PMID: 38758999 PMCID: PMC11343490 DOI: 10.3233/jad-230796] [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] [Indexed: 05/19/2024]
Abstract
Background Higher allostatic load (AL), a multi-system measure of physiological dysregulation considered a proxy for chronic stress exposure, is associated with poorer global cognition (GC) in older non-Hispanic white adults. However, evidence of these associations in middle-aged and older US-based Hispanic/Latino adults is limited. Objective To examine associations of AL with level of cognition, performance in cognition 7 years later, and change in cognition over 7 years among middle-aged and older US-based Hispanic/Latino adults. Methods We used data (n = 5,799, 45-74 years at baseline) from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL) and SOL-Investigation of Neurocognitive Aging (SOL-INCA). The AL score comprised 16 biomarkers representing cardiometabolic, glucose, cardiopulmonary, parasympathetic, and inflammatory systems (higher scores = greater dysregulation). Cognitive outcomes included GC and individual tests of verbal learning and memory, world fluency (WF), Digit Symbol Substitution (DSS), and Trail Making (Parts A & B). Survey-linear regressions assessed associations of AL with performance in cognition at baseline, 7 years later, and via 7-year cognitive change scores adjusting for sociodemographic characteristics, lifestyle factors, and depressive symptoms. Results Higher AL was associated with lower baseline performance in GC and WF; and lower 7-year follow-up performance in these same measures plus DSS and Trail Making Parts A & B. Higher AL was associated with more pronounced 7-year change (reduction) in GC and on WF and DSS tests. Conclusions Findings extend previous evidence in predominantly older non-Hispanic white cohorts to show that AL is related to level of and change in GC (as well as WF and DSS) among middle-aged and older US-based Hispanic/Latino adults.
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Affiliation(s)
- Mayra L. Estrella
- Rush Alzheimer’s Disease Center and the Department of Internal Medicine, Rush University Medical Center, Chicago, IL, USA
- Institute for Minority Health Research, University of Illinois at Chicago, Chicago, IL, USA
| | - Wassim Tarraf
- Institute of Gerontology and Department of Healthcare Sciences, Wayne State University, Detroit, MI, USA
| | - Sayaka Kuwayama
- Department of Neurosciences and Shiley-Marcos Alzheimer’s Disease Research Center, University of California, San Diego, San Diego, CA, USA
| | - Linda C. Gallo
- Department of Psychology, San Diego State University, San Diego, CA, USA
| | - Christian R. Salazar
- University of California Irvine Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, Irvine, CA, USA
| | - Ariana M. Stickel
- Department of Psychology, San Diego State University, San Diego, CA, USA
| | - Josiemer Mattei
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Priscilla M. Vásquez
- Department of Urban Public Health, Charles R. Drew University of Science and Medicine, Los Angeles, CA, USA
| | - Kamal M. Eldeirawi
- Department of Population Health Nursing Science, College of Nursing, University of Illinois Chicago, Chicago, IL, USA
| | - Krista M. Perreira
- Department of Social Medicine, University of North Carolina School of Medicine, Chapel Hill, NC, USA
| | - Frank J. Penedo
- Department of Psychology and Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL, USA
| | - Carmen R. Isasi
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Jianwen Cai
- Department of Biostatistics, University of North Carolina at Chapel Hill Gillings School of Global Public Health, Chapel Hill, NC, USA
| | - Donglin Zeng
- Department of Biostatistics, University of North Carolina at Chapel Hill Gillings School of Global Public Health, Chapel Hill, NC, USA
| | - Hector M. González
- Department of Neurosciences and Shiley-Marcos Alzheimer’s Disease Research Center, University of California, San Diego, CA, USA
| | - Martha L. Daviglus
- Institute for Minority Health Research, University of Illinois at Chicago, Chicago, IL, USA
| | - Melissa Lamar
- Institute for Minority Health Research, University of Illinois at Chicago, Chicago, IL, USA
- Rush Alzheimer’s Disease Center and the Department of Psychiatry and Behavioral Sciences, Rush University Medical Center, Chicago, IL, USA
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13
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Murrieta-Álvarez I, A Fernández-Gutiérrez J, A Pérez C, León-Peña AA, Reyes-Cisneros ÓA, Benítez-Salazar JM, Sánchez-Bonilla D, Olivares-Gazca JC, Fernández-Lara D, Pérez-Padilla R, Ruiz-Delgado GJ, Ruiz-Argüelles GJ. Impaired lung function in multiple sclerosis: a single-center observational study in 371 persons. Neurol Sci 2023; 44:4429-4439. [PMID: 37410269 DOI: 10.1007/s10072-023-06914-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Accepted: 06/15/2023] [Indexed: 07/07/2023]
Abstract
INTRODUCTION Abnormal lung function in people with multiple sclerosis (PwMS) could be considered as the result of muscle weakness or MS-specific structural central nervous system (CNS) abnormalities as a precipitant factor for the worsening of motor impairment or cognitive symptoms. METHODS This is a cross-sectional observational study in PwMS. Forced spirometry was conducted, and normative metrics of forced vital capacity (FVC), forced expiratory volume in the first second (FEV1), and the relation FEV1/FVC were calculated. Qualitative and quantitative brain magnetic resonance imaging (MRI) examinations were carried out. RESULTS A total of 371 PwMS were included in the study. Of those, 196 (53%) had RRMS, 92 (25%) SPMS, and 83 (22%) PPMS. Low FVC and FEV1 was present in 16 (8%), 16 (19%), and 23 (25%) of the patients in the RRMS, PPMS, and SPMS, respectively. PwMS with T2-FLAIR lesions involving the corpus callosum (CC) had a significantly higher frequency of abnormally low FVC and FEV1 (OR 3.62; 95% CI 1.33-9.83; p = 0.012) than patients without lesions in that region. This association remained significant in the RRMS group (OR 10.1; 95% CI 1.3-67.8; p 0.031) when the model excluded PPMS and SPMS. According to our study, for every increase of 1 z score of FVC, we observed an increase of 0.25 cm3 of hippocampal volume (β 0.25; 95% CI 0.03-0.47; p 0.023) and 0.43 cm3 of left hippocampus volume (β 0.43; 95% CI 0.16-0.71; p 0.002). CONCLUSIONS We observed an incremental prevalence of abnormally low pulmonary function tests that parallels a sequence from more early relapsing courses to long-standing progressive courses (RRMS to PPMS or SPMS).
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Affiliation(s)
- Iván Murrieta-Álvarez
- Clínica Ruiz, Centro de Hematología y Medicina Interna, Puebla, México
- Universidad Popular Autónoma del Estado de Puebla, Puebla, México
- Baylor College of Medicine, Houston, TX, USA
| | - José A Fernández-Gutiérrez
- Clínica Ruiz, Centro de Hematología y Medicina Interna, Puebla, México
- Universidad Popular Autónoma del Estado de Puebla, Puebla, México
| | | | | | - Óscar A Reyes-Cisneros
- Clínica Ruiz, Centro de Hematología y Medicina Interna, Puebla, México
- Universidad Anáhuac Puebla, Tlaxcalancingo, México
| | - José M Benítez-Salazar
- Universidad Popular Autónoma del Estado de Puebla, Puebla, México
- Houston Methodist Hospital, Houston, TX, USA
| | - Daniela Sánchez-Bonilla
- Clínica Ruiz, Centro de Hematología y Medicina Interna, Puebla, México
- Universidad Popular Autónoma del Estado de Puebla, Puebla, México
| | | | | | | | - Guillermo J Ruiz-Delgado
- Clínica Ruiz, Centro de Hematología y Medicina Interna, Puebla, México
- Universidad Popular Autónoma del Estado de Puebla, Puebla, México
- Laboratorios Ruiz SYNLAB, Puebla, México
| | - Guillermo J Ruiz-Argüelles
- Clínica Ruiz, Centro de Hematología y Medicina Interna, Puebla, México.
- Universidad Popular Autónoma del Estado de Puebla, Puebla, México.
- Laboratorios Ruiz SYNLAB, Puebla, México.
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14
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Cestelli L, Gulsvik A, Johannessen A, Stavem K, Nielsen R. Reduced lung function and cause-specific mortality: A population-based study of Norwegian men followed for 26 years. Respir Med 2023; 219:107421. [PMID: 37776914 DOI: 10.1016/j.rmed.2023.107421] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 09/06/2023] [Accepted: 09/28/2023] [Indexed: 10/02/2023]
Abstract
BACKGROUND AND AIM Reduced lung function is associated with increased mortality, but it is unclear how different spirometric patterns are related to specific deaths. Aim of this study was to investigate these associations in a large general population cohort. METHODS The study population consisted of 26,091 men aged 30-46 years from the Pneumoconiosis Survey of Western Norway conducted in 1988-1990 with follow-up on date and cause of death for 26 years. Cox proportional hazard models were used to estimate the association between baseline FEV1, FVC, obstructive (OSP) and restrictive spirometric pattern (RSP) (z-scores calculated according to GLI-2012 equations) and mortality (European 2012 shortlist classification (E-2012)), after adjustment for age, body mass index, smoking habits, and education. RESULTS In total, 2462 (9%) subjects died. A predominant reduction of FEV1 (and OSP) were associated with respiratory non-cancer (E-8) (HR for one unit FEV1 z-score decrease 2.29 (95% CI 1.90, 2.77) and lung cancer mortality (E-2.1.8) (1.27(1.12, 1.44)). A similar reduction of FEV1 and FVC (and RSP) were associated with diabetes (E-4.1) (FEV1 2.21(1.67, 2.92), FVC 2.41(1.75, 3.32)), cerebrovascular (E-7.3) (1.52(1.21, 1.91), 1.54(1.19, 1.98)), ischemic heart disease (E-7.1) (1.22(1.10, 1.35), 1.21(1.08, 1.36)), neurological (E-6.3) (1.56(1.21, 2.01), 1.61(1.22, 2.13)), suicide (E-17.2) (1.37(1.13, 1.65), 1.29(1.04, 1.59)) and hematological cancer mortality (E-2.1.19-21) (1.29(1.05, 1.58), (1.26(1.00, 1.58)). No association was found between reduced lung function and mortality due to accidents, alcohol abuse, digestive and genitourinary cancer. CONCLUSIONS Spirometric obstruction was mainly related to pulmonary mortality. Spirometric restriction was mainly related to extra-pulmonary mortality.
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Affiliation(s)
- Lucia Cestelli
- Department of Clinical Science, University of Bergen, Bergen, Norway.
| | - Amund Gulsvik
- Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Ane Johannessen
- Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
| | - Knut Stavem
- Pulmonary Department, Akershus University Hospital, Lørenskog, Norway; Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Health Services Research Unit, Akershus University Hospital, Lørenskog, Norway
| | - Rune Nielsen
- Department of Clinical Science, University of Bergen, Bergen, Norway; Department of Thoracic Medicine, Haukeland University Hospital, Bergen, Norway
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