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Ahmad S, Imtiaz MA, Mishra A, Wang R, Herrera-Rivero M, Bis JC, Fornage M, Roshchupkin G, Hofer E, Logue M, Longstreth WT, Xia R, Bouteloup V, Mosley T, Launer LJ, Khalil M, Kuhle J, Rissman RA, Chene G, Dufouil C, Djoussé L, Lyons MJ, Mukamal KJ, Kremen WS, Franz CE, Schmidt R, Debette S, Breteler MMB, Berger K, Yang Q, Seshadri S, Aziz NA, Ghanbari M, Ikram MA. Genome-wide association study meta-analysis of neurofilament light (NfL) levels in blood reveals novel loci related to neurodegeneration. Commun Biol 2024; 7:1103. [PMID: 39251807 PMCID: PMC11385583 DOI: 10.1038/s42003-024-06804-3] [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] [Received: 11/29/2023] [Accepted: 08/29/2024] [Indexed: 09/11/2024] Open
Abstract
Neurofilament light chain (NfL) levels in circulation have been established as a sensitive biomarker of neuro-axonal damage across a range of neurodegenerative disorders. Elucidation of the genetic architecture of blood NfL levels could provide new insights into molecular mechanisms underlying neurodegenerative disorders. In this meta-analysis of genome-wide association studies (GWAS) of blood NfL levels from eleven cohorts of European ancestry, we identify two genome-wide significant loci at 16p12 (UMOD) and 17q24 (SLC39A11). We observe association of three loci at 1q43 (FMN2), 12q14, and 12q21 with blood NfL levels in the meta-analysis of African-American ancestry. In the trans-ethnic meta-analysis, we identify three additional genome-wide significant loci at 1p32 (FGGY), 6q14 (TBX18), and 4q21. In the post-GWAS analyses, we observe the association of higher NfL polygenic risk score with increased plasma levels of total-tau, Aβ-40, Aβ-42, and higher incidence of Alzheimer's disease in the Rotterdam Study. Furthermore, Mendelian randomization analysis results suggest that a lower kidney function could cause higher blood NfL levels. This study uncovers multiple genetic loci of blood NfL levels, highlighting the genes related to molecular mechanism of neurodegeneration.
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Affiliation(s)
- Shahzad Ahmad
- Department of Epidemiology, Erasmus University Medical Center, PO Box 2040, 3000, CA, Rotterdam, the Netherlands
- Oxford-GSK Institute of Computational and Molecular Medicine (IMCM), Centre for Human Genetics, Nuffield Department of Medicine (NDM), University of Oxford, Oxford, OX3 7BN, UK
| | - Mohammad Aslam Imtiaz
- Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1/99, 53127, Bonn, Germany
| | - Aniket Mishra
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, UMR 1219, F-33000, Bordeaux, France
| | - Ruiqi Wang
- Boston University, Boston, MA, 02215, USA
| | - Marisol Herrera-Rivero
- Department of Genetic Epidemiology, Institute of Human Genetics, University of Münster, Münster, Germany
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Joshua C Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, 1730 Minor Ave #1360, Seattle, WA, 98101, USA
| | - Myriam Fornage
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, 1825 Pressler Street Houston, Houston, 77030, TX, USA
| | - Gennady Roshchupkin
- Department of Epidemiology, Erasmus University Medical Center, PO Box 2040, 3000, CA, Rotterdam, the Netherlands
| | - Edith Hofer
- Clinical Division of Neurogeriatrics, Department of Neurology, Medical University of Graz, Auenbruggerplatz 22, 8036, Graz, Austria
- Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Auenbruggerplatz 2, Fifth Floor, Graz, 8036, Austria
| | - Mark Logue
- National Center for PTSD, Behavioral Sciences Division at VA Boston Healthcare System, Boston, 150 South Huntington Avenue, Boston, MA, 02130, USA
- Department of Psychiatry and Biomedical Genetics, Boston University School of Medicine, Boston, 72 East Concord Street E200, Boston, MA, 02118, USA
| | - W T Longstreth
- Departments of Neurology and Epidemiology, University of Washington, Seattle, 3980 15th Ave NE Seattle, Seattle, WA, 98195, USA
| | - Rui Xia
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, 1825 Pressler Street Houston, Houston, 77030, TX, USA
| | - Vincent Bouteloup
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, UMR 1219, F-33000, Bordeaux, France
| | - Thomas Mosley
- MIND Center, University of Mississippi Medical Center, Jackson, 2500 North State Street, Jackson, MS, 39216, USA
| | - Lenore J Launer
- Laboratory of Epidemiology and Population Science, NIA Intramural Research Program, 251 Bayview Blvd, Baltimore, MD, 21224, USA
| | - Michael Khalil
- Department of Neurology, Medical University of Graz, Auenbruggerplatz 22, 8036, Graz, Austria
| | - Jens Kuhle
- Research Center for Clinical Neuroimmunology and Neuroscience University Hospital, Spitalstrasse 2, CH-4031, Basel, Switzerland
| | - Robert A Rissman
- Department of Physiology and Neuroscience, Alzheimer's Therapeutic Research Institute, Keck School of Medicine of the University of Southern California, California, USA
| | - Genevieve Chene
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, UMR 1219, F-33000, Bordeaux, France
| | - Carole Dufouil
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, UMR 1219, F-33000, Bordeaux, France
| | - Luc Djoussé
- Brigham and Women's Hospital, Harvard Medical School, Boston, 75 FRANCIS STREET, BOSTON MA 02115, MA, Boston, USA
| | - Michael J Lyons
- Department of Psychological & Brain Sciences, Boston University, Boston, 64 Cummington Mall # 149, Boston, MA, 02215, USA
| | - Kenneth J Mukamal
- Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, 330 Brookline Avenue Boston, MA, 02215, USA
| | - William S Kremen
- Department of Psychiatry and Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, 92093, USA
| | - Carol E Franz
- Department of Psychiatry and Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, 92093, USA
| | - Reinhold Schmidt
- Clinical Division of Neurogeriatrics, Department of Neurology, Medical University of Graz, Auenbruggerplatz 22, 8036, Graz, Austria
| | - Stephanie Debette
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, UMR 1219, F-33000, Bordeaux, France
- CHU de Bordeaux, Department of Neurology, Institute for Neurodegenerative Diseases, F-33000, Bordeaux, France
| | - Monique M B Breteler
- Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1/99, 53127, Bonn, Germany
- Institute for Medical Biometry, Informatics and Epidemiology (IMBIE), Faculty of Medicine, University of Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Klaus Berger
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Institut für Epidemiologie und Sozialmedizin Albert-Schweitzer-Campus 1, Gebäude D3 48149, Münster, Germany
| | - Qiong Yang
- Boston University, Boston, MA, 02215, USA
| | - Sudha Seshadri
- Boston University, Boston, MA, 02215, USA
- Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX, USA
| | - N Ahmad Aziz
- Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1/99, 53127, Bonn, Germany
- Department of Neurology, Faculty of Medicine, University of Bonn, 53127, Bonn, Germany
| | - Mohsen Ghanbari
- Department of Epidemiology, Erasmus University Medical Center, PO Box 2040, 3000, CA, Rotterdam, the Netherlands
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus University Medical Center, PO Box 2040, 3000, CA, Rotterdam, the Netherlands.
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Zhu N, Zhu J, Lin S, Yu H, Cao C. Correlation analysis between smoke exposure and serum neurofilament light chain in adults: a cross-sectional study. BMC Public Health 2024; 24:353. [PMID: 38308244 PMCID: PMC10835908 DOI: 10.1186/s12889-024-17811-8] [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: 11/15/2023] [Accepted: 01/18/2024] [Indexed: 02/04/2024] Open
Abstract
BACKGROUND Smoke exposure is a prevalent and well-documented risk factor for various diseases across different organ systems. Serum neurofilament light chain (sNfL) has emerged as a promising biomarker for a multitude of nervous system disorders. However, there is a notable paucity of research exploring the associations between smoke exposure and sNfL levels. METHODS We conducted a comprehensive analysis of the National Health and Nutrition Examination Survey (NHANES) cross-sectional data spanning the years 2013 to 2014. Serum cotinine levels were classified into the following three groups: < 0.05, 0.05-2.99, and ≥ 3 ng/ml. Multiple linear regression models were employed to assess the relationships between serum cotinine levels and sNfL levels. Additionally, we utilized restricted cubic spline analyses to elucidate the potential nonlinear relationship between serum cotinine and sNfL levels. RESULTS A total of 2053 participants were included in our present research. Among these individuals, the mean age was 47.04 ± 15.32 years, and males accounted for 48.2% of the total study population. After adjusting the full model, serum cotinine was positively correlated with sNfl in the second group (β = 0.08, 95%CI 0.01-0.15) and in the highest concentration of serum cotinine (β = 0.10, 95%CI 0.01-0.19) compared to the group with the lowest serum cotinine concentrations. Current smokers, in comparison to non-smokers, exhibited a trend toward elevated sNfL levels (β = 0.07, 95%CI 0.01-0.13). Furthermore, subgroup analyses revealed interactions between serum cotinine levels and different age groups (P for interaction = 0.001) and gender stratification (P for interaction = 0.015) on sNfL levels. CONCLUSION The study suggested that serum cotinine was significantly and positively associated with sNfl levels in adult participants. Furthermore, current smokers tend to exhibit elevated sNfL levels. This research sheds light on the potential implications of smoke exposure on neurological function impairment and underscores the importance of further exploration in this area.
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Affiliation(s)
- Ning Zhu
- Department of Respiratory and Critical Care Medicine, Key Laboratory of Respiratory Disease of Ningbo, The First Affiliated Hospital of Ningbo University, 59 Liuting Road, 315010, Ningbo, Zhejiang, China
| | - Jing Zhu
- Department of Cardiology, The First Affiliated Hospital of University of Science and Technology of China (Anhui Provincial Hospital), Hefei, China
| | - Shanhong Lin
- Department of Ultrasound, The First Affiliated Hospital of Ningbo University, Ningbo, China
| | - Hang Yu
- Department of Respiratory and Critical Care Medicine, Key Laboratory of Respiratory Disease of Ningbo, The First Affiliated Hospital of Ningbo University, 59 Liuting Road, 315010, Ningbo, Zhejiang, China
| | - Chao Cao
- Department of Respiratory and Critical Care Medicine, Key Laboratory of Respiratory Disease of Ningbo, The First Affiliated Hospital of Ningbo University, 59 Liuting Road, 315010, Ningbo, Zhejiang, China.
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Goerdt L, Holz FG, Finger RP. [Retinal optical coherence tomography biomarkers in dementia]. DIE OPHTHALMOLOGIE 2024; 121:84-92. [PMID: 37847375 DOI: 10.1007/s00347-023-01947-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 09/25/2023] [Indexed: 10/18/2023]
Abstract
BACKGROUND Due to the general aging of society, the prevalence and incidence of dementia are expected to increase considerably. In order to timely identify patients and assess their need for treatment and/or supportive measures, comprehensive and easy access screening methods are required, which, however, are yet to be developed. To date, several biomarkers for the presence of dementia on high-resolution spectral domain optical coherence tomography (OCT) and OCT angiography (OCT-A) images were identified. AIM To summarize previously identified OCT biomarkers in dementia and to assess their suitability for comprehensive screening examinations. MATERIAL AND METHODS A literature search was conducted on PubMed until March 2023 for the keywords "dementia", "mild cognitive impairment", "OCT", "OCT angiography" and "retinal biomarkers". Relevant publications were identified and summarized. RESULTS Numerous unspecific alterations on OCT imaging and OCT‑A were identified in patients with (predementia) dementia according to many population and clinical studies. These include a reduced thickness of the peripapillary retinal nerve fiber layer, the ganglion cell complex and the central retinal region. Additionally, a reduced vascular density and an enlarged foveal avascular zone (FAZ) were identified on OCT‑A imaging. CONCLUSION The currently known OCT biomarkers are too unspecific, and there is to date no OCT or OCT-A-based signature distinguishing between different types of dementia. Further longitudinal studies with larger sample sizes are warranted to develop and evaluate such distinct OCT signatures for different types of dementia and their respective early disease stages and to assess their prognostic value. Only then is the inclusion in comprehensive screening investigations feasible.
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Affiliation(s)
- L Goerdt
- Universitäts-Augenklinik Bonn, Ernst-Abbe-Str. 2, 53127, Bonn, Deutschland.
| | - F G Holz
- Universitäts-Augenklinik Bonn, Ernst-Abbe-Str. 2, 53127, Bonn, Deutschland
| | - R P Finger
- Universitäts-Augenklinik Mannheim, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Deutschland
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Doganyigit Z, Eroglu E, Okan A. Intermediate filament proteins are reliable immunohistological biomarkers to help diagnose multiple tissue-specific diseases. Anat Histol Embryol 2023; 52:655-672. [PMID: 37329162 DOI: 10.1111/ahe.12937] [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: 11/27/2022] [Revised: 05/18/2023] [Accepted: 05/31/2023] [Indexed: 06/18/2023]
Abstract
Cytoskeletal networks are proteins that effectively maintain cell integrity and provide mechanical support to cells by actively transmitting mechanical signals. Intermediate filaments, which are from the cytoskeleton family and are 10 nanometres in diameter, are unlike actin and microtubules, which are highly dynamic cytoskeletal elements. Intermediate filaments are flexible at low strain, harden at high strain and resist breaking. For this reason, these filaments fulfil structural functions by providing mechanical support to the cells through their different strain-hardening properties. Intermediate filaments are suitable in that cells both cope with mechanical forces and modulate signal transmission. These filaments are composed of fibrous proteins that exhibit a central α-helical rod domain with a conserved substructure. Intermediate filament proteins are divided into six groups. Type I and type II include acidic and basic keratins, type III, vimentin, desmin, peripheralin and glial fibrillary acidic protein (GFAP), respectively. Type IV intermediate filament group includes neurofilament proteins and a fourth neurofilament subunit, α-internexin proteins. Type V consists of lamins located in the nucleus, and the type VI group consists of lens-specific intermediate filaments, CP49/phakinin and filen. Intermediate filament proteins show specific immunoreactivity in differentiating cells and mature cells of various types. Various carcinomas such as colorectal, urothelial and ovarian, diseases such as chronic pancreatitis, cirrhosis, hepatitis and cataract have been associated with intermediate filaments. Accordingly, this section reviews available immunohistochemical antibodies to intermediate filament proteins. Identification of intermediate filament proteins by methodological methods may contribute to the understanding of complex diseases.
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Affiliation(s)
- Zuleyha Doganyigit
- Faculty of Medicine, Histology and Embryology, Yozgat Bozok University, Yozgat, Turkey
| | - Ece Eroglu
- Faculty of Medicine, Yozgat Bozok University, Yozgat, Turkey
| | - Aslı Okan
- Faculty of Medicine, Histology and Embryology, Yozgat Bozok University, Yozgat, Turkey
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