Abstract
Plasma neurofilament light (NfL) protein is a promising non-invasive biomarker for detecting neuronal damage in Alzheimer’s disease (AD). However, its clinical utility is limited by the lack of standardized threshold values. Sex is an important factor that should be considered when setting these thresholds, but only a few studies have examined sex differences in plasma NfL levels in AD, with inconsistent findings. Even fewer have explored whether sex influences the relationship between plasma NfL levels and disease severity. To investigate this, we first analyzed data from 860 participants in the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database. Linear regression models were used to assess sex differences in the correlation between plasma NfL levels, cognitive deficits, and neuroimaging metrics. A Cox model with bootstrap resampling was used to evaluate sex differences in dementia risk, calculating the hazard ratio for men versus women for a given increase in plasma NfL. Our results showed that, compared to women, men with higher plasma NfL levels exhibited more severe cognitive defects and brain hypometabolism, along with smaller hippocampal volume. These findings were validated using data from 619 participants in the Chinese Preclinical Alzheimer’s Disease Study (C-PAS) cohort and 86 participants from a publicly available dataset. In addition, we found that increase in plasma NfL levels were predictive of faster cognitive decline and a higher likelihood of AD progression in men compared to women. In conclusion, sex differences influence the relationship between plasma NfL levels and AD symptoms. Men exhibit greater cognitive and neuropathological defects with rising plasma NfL levels, underscoring the need for considering sex when using NfL as a biomarker for neuronal damage in AD.
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Data availability
ADNI data are publicly available at: https://adni.loni.usc.edu. Data from C-PAS study will be shared by request from a qualified academic investigator for the sole purpose of replicating procedures and results presented in the article. The third longitudinal open dataset can be download at: https://www.nature.com/articles/s41467-020-14612-6#Sec16. Analysis code used in this study is available upon reasonable request.
References
Therriault J, Schindler SE, Salvadó G, Pascoal TA, Benedet AL, Ashton NJ, et al. Biomarker-based staging of Alzheimer disease: rationale and clinical applications. Nat Rev Neurol. 2024;20:232–44.
Rauchmann BS, Schneider-Axmann T, Perneczky R. Alzheimer’s disease neuroimaging I. associations of longitudinal plasma p-tau181 and NfL with tau-PET, Abeta-PET and cognition. J Neurol Neurosurg Psychiatry. 2021;92:1289–95.
Jiang Y, Uhm H, Ip FC, Ouyang L, Lo RMN, Cheng EYL, et al. A blood-based multi-pathway biomarker assay for early detection and staging of Alzheimer’s disease across ethnic groups. Alzheimers Dement. 2024;20:2000–15.
Milà-Alomà M, Ashton NJ, Shekari M, Salvadó G, Ortiz-Romero P, Montoliu-Gaya L, et al. Plasma p-tau231 and p-tau217 as state markers of amyloid-β pathology in preclinical Alzheimer’s disease. Nat Med. 2022;28:1797–801.
Mattsson-Carlgren N, Salvadó G, Ashton NJ, Tideman P, Stomrud E, Zetterberg H, et al. Prediction of longitudinal cognitive decline in preclinical Alzheimer disease using plasma biomarkers. JAMA Neurol. 2023;80:360–9.
Jiang Y, Zhou X, Ip FC, Chan P, Chen Y, Lai NCH, et al. Large-scale plasma proteomic profiling identifies a high‐performance biomarker panel for Alzheimer’s disease screening and staging. Alzheimers Dement. 2022;18:88–102.
Chatterjee P, Pedrini S, Doecke JD, Thota R, Villemagne VL, Doré V, et al. Plasma Aβ42/40 ratio, p-tau181, GFAP, and NfL across the Alzheimer’s disease continuum: a cross-sectional and longitudinal study in the AIBL cohort. Alzheimers Dement. 2023;19:1117–34.
Shen XN, Huang SY, Cui M, Zhao QH, Guo Y, Huang YY, et al. Plasma glial fibrillary acidic protein in the Alzheimer disease continuum: relationship to other biomarkers, differential diagnosis, and prediction of clinical progression. Clin Chem. 2023;69:411–21.
Janelidze S, Barthélemy NR, Salvadó G, Schindler SE, Palmqvist S, Mattsson-Carlgren N, et al. Plasma phosphorylated Tau 217 and Aβ42/40 to predict early brain Aβ accumulation in people without cognitive impairment. JAMA Neurol. 2024;81:947–57.
Guo Y, You J, Zhang Y, Liu WS, Huang YY, Zhang YR, et al. Plasma proteomic profiles predict future dementia in healthy adults. Nat Aging. 2024;4:247–60.
Ashton NJ, Brum WS, Di Molfetta G, Benedet AL, Arslan B, Jonaitis E, et al. Diagnostic accuracy of a plasma phosphorylated tau 217 immunoassay for Alzheimer disease pathology. JAMA Neurol. 2024;81:255–63.
Mattsson N, Andreasson U, Zetterberg H, Blennow K. Alzheimer’s disease neuroimaging I. association of plasma neurofilament light with neurodegeneration in patients with Alzheimer disease. JAMA Neurol. 2017;74:557–66.
de Wolf F, Ghanbari M, Licher S, McRae-McKee K, Gras L, Weverling GJ, et al. Plasma tau, neurofilament light chain and amyloid-beta levels and risk of dementia; a population-based cohort study. Brain. 2020;143:1220–32.
Mattsson N, Cullen NC, Andreasson U, Zetterberg H, Blennow K. Association between longitudinal plasma neurofilament light and neurodegeneration in patients with Alzheimer disease. JAMA Neurol. 2019;76:791–9.
Preische O, Schultz SA, Apel A, Kuhle J, Kaeser SA, Barro C, et al. Serum neurofilament dynamics predicts neurodegeneration and clinical progression in presymptomatic Alzheimer’s disease. Nat Med. 2019;25:277–83.
Quiroz YT, Zetterberg H, Reiman EM, Chen Y, Su Y, Fox-Fuller JT, et al. Plasma neurofilament light chain in the presenilin 1 E280A autosomal dominant Alzheimer’s disease kindred: a cross-sectional and longitudinal cohort study. Lancet Neurol. 2020;19:513–21.
Moscoso A, Grothe MJ, Ashton NJ, Karikari TK, Lantero Rodríguez J, Snellman A, et al. Longitudinal associations of blood phosphorylated tau181 and neurofilament light chain with neurodegeneration in Alzheimer disease. JAMA Neurol. 2021;78:396–406.
He L, Morley JE, Aggarwal G, Nguyen AD, Vellas B, de Souto Barreto P, et al. Plasma neurofilament light chain is associated with cognitive decline in non-dementia older adults. Sci Rep. 2021;11:13394.
Khalil M, Pirpamer L, Hofer E, Voortman MM, Barro C, Leppert D, et al. Serum neurofilament light levels in normal aging and their association with morphologic brain changes. Nat Commun. 2020;11:812.
Dittrich A, Ashton NJ, Zetterberg H, Blennow K, Simrén J, Geiger F, et al. Plasma and CSF NfL are differentially associated with biomarker evidence of neurodegeneration in a community-based sample of 70-year-olds. Alzheimers Dement. 2022;14:e12295.
Benedet AL, Ashton NJ, Pascoal TA, Leuzy A, Mathotaarachchi S, Kang MS, et al. Plasma neurofilament light associates with Alzheimer’s disease metabolic decline in amyloid-positive individuals. Alzheimers Dement. 2019;11:679–89.
van Dyck CH, Swanson CJ, Aisen P, Bateman RJ, Chen C, Gee M, et al. Lecanemab in early Alzheimer’s disease. N Engl J Med. 2023;388:9–21.
Abdelhak A, Kuhle J, Green AJ. Challenges and opportunities for the promising biomarker blood neurofilament light chain. JAMA Neurol. 2023;80:542–3.
2023 Alzheimer’s disease facts and figures. Alzheimers Dement. 2023;19:1598–695.
Laws KR, Irvine K, Gale TM. Sex differences in Alzheimer’s disease. Curr Opin Psychiatry. 2018;31:133–9.
Liesinger AM, Graff-Radford NR, Duara R, Carter RE, Hanna Al-Shaikh FS, Koga S, et al. Sex and age interact to determine clinicopathologic differences in Alzheimer’s disease. Acta neuropathol. 2018;136:873–85.
Filon JR, Intorcia AJ, Sue LI, Vazquez Arreola E, Wilson J, Davis KJ, et al. Gender differences in Alzheimer disease: brain atrophy, histopathology burden, and cognition. J Neuropathol Exp Neurol. 2016;75:748–54.
Oveisgharan S, Arvanitakis Z, Yu L, Farfel J, Schneider JA, Bennett DA. Sex differences in Alzheimer’s disease and common neuropathologies of aging. Acta neuropathol. 2018;136:887–900.
Babapour Mofrad R, Tijms BM, Scheltens P, Barkhof F, van der Flier WM, Sikkes SAM, et al. Sex differences in CSF biomarkers vary by Alzheimer disease stage and APOE ε4 genotype. Neurology. 2020;95:e2378–e2388.
Tsiknia AA, Edland SD, Sundermann EE, Reas ET, Brewer JB, Galasko D, et al. Sex differences in plasma p-tau181 associations with Alzheimer’s disease biomarkers, cognitive decline, and clinical progression. Mol Psychiatry. 2022;27:4314–22.
Baldacci F, Lista S, Manca ML, Chiesa PA, Cavedo E, Lemercier P, et al. Age and sex impact plasma NFL and t-Tau trajectories in individuals with subjective memory complaints: a 3-year follow-up study. Alzheimers Res Ther. 2020;12:147.
Vila-Castelar C, Chen Y, Langella S, Lopera F, Zetterberg H, Hansson O, et al. Sex differences in blood biomarkers and cognitive performance in individuals with autosomal dominant Alzheimer’s disease. Alzheimers Dement. 2023;19:4127–38.
Brickman AM, Manly JJ, Honig LS, Sanchez D, Reyes-Dumeyer D, Lantigua RA, et al. Plasma p-tau181, p-tau217, and other blood-based Alzheimer’s disease biomarkers in a multi-ethnic, community study. Alzheimers Dement. 2021;17:1353–64.
Skillbäck T, Blennow K, Zetterberg H, Shams S, Machado A, Pereira J, et al. Sex differences in CSF biomarkers for neurodegeneration and blood-brain barrier integrity. Alzheimers Dement. 2021;13:e12141.
Mielke MM, Syrjanen JA, Blennow K, Zetterberg H, Skoog I, Vemuri P, et al. Comparison of variables associated with cerebrospinal fluid neurofilament, total-tau, and neurogranin. Alzheimers Dement. 2019;15:1437–47.
Cui L, Huang L, Pan FF, Wang Y, Huang Q, Guan YH, et al. Chinese preclinical Alzheimer’s disease study (C-PAS): design and challenge from PET acceptance. J Prev Alzheimers Dis. 2023;10:571–80.
Gibbons LE, Carle AC, Mackin RS, Harvey D, Mukherjee S, Insel P, et al. A composite score for executive functioning, validated in Alzheimer’s disease neuroimaging initiative (ADNI) participants with baseline mild cognitive impairment. Brain Imaging Behav. 2012;6:517–27.
Crane PK, Carle A, Gibbons LE, Insel P, Mackin RS, Gross A, et al. Development and assessment of a composite score for memory in the Alzheimer’s disease neuroimaging initiative (ADNI). Brain Imaging Behav. 2012;6:502–16.
Choi SE, Mukherjee S, Gibbons LE, Sanders RE, Jones RN, Tommet D, et al. Development and validation of language and visuospatial composite scores in ADNI. Alzheimers Dement. 2020;6:e12072.
Huang L, Chen KL, Lin BY, Tang L, Zhao QH, Lv YR, et al. Chinese version of montreal cognitive assessment basic for discrimination among different severities of Alzheimer’s disease. Neuropsychiatr Dis Treat. 2018;14:2133–40.
Karikari TK, Pascoal TA, Ashton NJ, Janelidze S, Benedet AL, Rodriguez JL, et al. Blood phosphorylated tau 181 as a biomarker for Alzheimer’s disease: a diagnostic performance and prediction modelling study using data from four prospective cohorts. Lancet Neurol. 2020;19:422–33.
Bittner T, Zetterberg H, Teunissen CE, Ostlund RE Jr., Militello M, Andreasson U, et al. Technical performance of a novel, fully automated electrochemiluminescence immunoassay for the quantitation of β-amyloid (1–42) in human cerebrospinal fluid. Alzheimers Dement. 2016;12:517–26.
Landau SM, Mintun MA, Joshi AD, Koeppe RA, Petersen RC, Aisen PS, et al. Amyloid deposition, hypometabolism, and longitudinal cognitive decline. Ann Neurol. 2012;72:578–86.
Landau SM, Harvey D, Madison CM, Koeppe RA, Reiman EM, Foster NL, et al. Associations between cognitive, functional, and FDG-PET measures of decline in AD and MCI. Neurobiol Aging. 2011;32:1207–18.
Minoshima S, Drzezga AE, Barthel H, Bohnen N, Djekidel M, Lewis DH, et al. SNMMI procedure standard/EANM practice guideline for amyloid PET imaging of the brain 1.0. J Nucl Med. 2016;57:1316–22.
Tian M, Zuo C, Civelek AC, Carrio I, Watanabe Y, Kang KW, et al. International nuclear medicine consensus on the clinical use of amyloid positron emission tomography in Alzheimer’s disease. Phenomics. 2022;3:375–89.
Goldstein A, Kapelner A, Bleich J, Pitkin E. Peeking inside the black box: visualizing statistical learning with plots of individual conditional expectation. J Comput Graph Stat. 2015;24:44–65.
Rosipal R, Krämer N. Overview and recent advances in partial least squares. In: Saunders C, Grobelnik M, Gunn S, Shawe-Taylor J, editors. Subspace, latent structure and feature selection techniques. Berlin, Heidelberg: Springer; 2006, vol 3940 pp. 34–51.
Lopez-Lee C, Torres ERS, Carling G, Gan L. Mechanisms of sex differences in Alzheimer’s disease. Neuron. 2024;112:1208–21.
Lopez-Lee C, Kodama L, Fan L, Zhu D, Zhu J, Wong MY, et al. Tlr7 drives sex differences in age- and Alzheimer’s disease–related demyelination. Science. 2024;386:eadk7844.
Saraste M, Matilainen M, Vuorimaa A, Laaksonen S, Sucksdorff M, Leppert D, et al. Association of serum neurofilament light with microglial activation in multiple sclerosis. J Neurol Neurosurg Psychiatry. 2023;94:698–706.
Johnson NR, Yuan P, Castillo E, Lopez TP, Yue W, Bond A, et al. CSF1R inhibitors induce a sex-specific resilient microglial phenotype and functional rescue in a tauopathy mouse model. Nat Commun. 2023;14:118.
Cipolla MJ, Godfrey JA, Wiegman MJ. The effect of ovariectomy and estrogen on penetrating brain arterioles and blood-brain barrier permeability. Microcirculation. 2009;16:685–93.
Wilson AC, Clemente L, Liu T, Bowen RL, Meethal SV, Atwood CS. Reproductive hormones regulate the selective permeability of the blood-brain barrier. Biochim Biophys Acta. 2008;1782:401–7.
Parrado-Fernández C, Blennow K, Hansson M, Leoni V, Cedazo-Minguez A, Björkhem I. Evidence for sex difference in the CSF/plasma albumin ratio in ~20 000 patients and 335 healthy volunteers. J Cell Mol Med. 2018;22:5151–4.
Moon Y, Lim C, Kim Y, Moon WJ. Sex-related differences in regional blood-brain barrier integrity in non-demented elderly subjects. Int J Mol Sci. 2021;22:2860.
Palermo G, Mazzucchi S, Della Vecchia A, Siciliano G, Bonuccelli U, Azuar C, et al. Different clinical contexts of use of blood neurofilament light chain protein in the spectrum of neurodegenerative diseases. Mol Neurobiol. 2020;57:4667–91.
Acknowledgements
Data used in preparation of this article were partially obtained from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database (adni.loni.usc.edu). As such, the investigators within the ADNI contributed to the design and implementation of ADNI and/or provided data but did not participate in analysis or writing of this report. A complete listing of ADNI investigators can be found at: http://adni.loni.usc.edu/wpcontent/uploads/how_to_apply/ADNI_Acknowledgement_List.pdf. Data collection and sharing for this project was funded by the Alzheimer’s Disease Neuroimaging Initiative (ADNI) (National Institutes of Health Grant U01 AG024904) and DOD ADNI (Department of Defense award number W81XWH-12-2-0012). ADNI is funded by the National Institute on Aging, the National Institute of Biomedical Imaging and Bioengineering, and through generous contributions from the following: AbbVie, Alzheimer’s Association; Alzheimer’s Drug Discovery Foundation; Araclon Biotech; BioClinica, Inc.; Biogen; Bristol-Myers Squibb Company; CereSpir, Inc.; Cogstate; Eisai Inc.; Elan Pharmaceuticals, Inc.; Eli Lilly and Company; EuroImmun; F. Hoffmann-La Roche Ltd and its affiliated company Genentech, Inc.; Fujirebio; GE Healthcare; IXICO Ltd.; Janssen Alzheimer Immunotherapy Research & Development, LLC.; Johnson & Johnson Pharmaceutical Research & Development LLC.; Lumosity; Lundbeck; Merck & Co., Inc.; Meso Scale Diagnostics, LLC.; NeuroRx Research; Neurotrack Technologies; Novartis Pharmaceuticals Corporation; Pfizer Inc.; Piramal Imaging; Servier; Takeda Pharmaceutical Company; and Transition Therapeutics. The Canadian Institutes of Health Research is providing funds to support ADNI clinical sites in Canada. Private sector contributions are facilitated by the Foundation for the National Institutes of Health (www.fnih.org). The grantee organization is the Northern California Institute for Research and Education, and the study is coordinated by the Alzheimer’s Therapeutic Research Institute at the University of Southern California. ADNI data are disseminated by the Laboratory for Neuro Imaging at the University of Southern California. We thank Dr. Wei Cheng (Fudan University) for his guidance on the bootstrap resample method for survival analysis.
Funding
This work was supported by the National Key Research and Development Program of China (2023YFC3603200, 2016YFC1306305, 2018YFE0203600), Shanghai Pilot Program for Basic Research - FuDan University 21TQ1400100 (22TQ019), Shanghai Municipal Science and Technology Major Project, the Lingang Laboratory (grant no. LG-QS-202203-09), Shanghai Natural Science Foundation (22ZR1415000), and STI2030-Major Projects (2022ZD0213800).
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PY, XQC designed the study. ZHW and YFX carried out the analysis. KH, YW, QHG,and FX directed the data collection in the validation cohort. PY, ZHW and YFX made the graphs. PY, XQC and FX wrote and edited the manuscript. PY directed the study.
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The study of C-PAS cohort was approved by the Independent Ethics Committee “Huashan Hospital Institutional Review Board (HIRB), Fudan University” (approval number: KY-2017-406), and all participants gave written informed consent. All methods were performed in accordance with the relevant guidelines and regulations.
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Cheng, X., Wang, Z., He, K. et al. Plasma neurofilament light reflects more severe manifestation of Alzheimer’s disease in men. Mol Psychiatry 30, 5615–5624 (2025). https://doi.org/10.1038/s41380-025-03149-z
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DOI: https://doi.org/10.1038/s41380-025-03149-z


