与情绪和精神障碍相比,行为变异性额颞叶痴呆的血浆神经丝光

D. Eratne, M. Kang, C. Malpas, S. Simpson-Yap, C. Lewis, Christa Dang, Jasleen Grewal, Amy Coe, H. Dobson, M. Keem, Wei-Hsuan Chiu, T. Kalincik, Suyi Ooi, D. Darby, A. Brodtmann, O. Hansson, S. Janelidze, K. Blennow, H. Zetterberg, A. Walker, O. Dean, Michael Berk, C. Wannan, C. Pantelis, S. Loi, M. Walterfang, S. Berkovic, A. Santillo, D. Velakoulis
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This study aimed to investigate plasma NfL in a range of PPDs, and the diagnostic utility of plasma NfL in differentiating PPD from behavioural variant frontotemporal dementia (bvFTD), a neurodegenerative disorder commonly misdiagnosed initially as PPD. Furthermore, improved understanding of NfL in a diverse range of PPDs, the role and performance of a large normative/reference data sets and models to facilitate precision interpretation of an individual levels, and the influence of covariates, will be critical for future research and clinical translation. Methods Plasma NfL was analysed using Single molecule array (Simoa) technology in major depressive disorder (MDD, n=42), bipolar affective disorder (BPAD, n=121), treatment-resistant schizophrenia (TRS, n=82), and bvFTD (n=22). Comparisons were made between the four clinical cohort groups, and the reference cohort (Control Group 2, n=1926, using generalised additive models for location, scale, and shape (GAMLSS), and age-matched controls (Control Group 1, n=96, using general linear models), Results Large differences were seen between bvFTD (mean NfL 34.9pg/mL) and all PPDs and controls (all <11pg/mL). Plasma NfL distinguished bvFTD from PPD with high accuracy; a 13.3pg/mLcut-off resulted in 86% sensitivity, 88% specificity. GAMLSS models using the large Control Group 2 performed equally to or outperformed models using local controls. An internet-based application was developed to provide individualised z-scores and percentiles based on this reference cohort, which can facilitate precision interpretation of an individual level. Slightly higher plasma NfL levels were found in BPAD, compared to both control groups, and compared to TRS. Conclusions This study adds further evident on the strong diagnostic utility of NfL to distinguish bvFTD from clinically relevant PPDs, and includes the largest cohort of BPAD to date. The finding of higher plasma NfL levels in the largest cohort of BPAD to date should prompt further investigation. Use of large reference cohorts and GAMLSS modelling may have important implications for future research and clinical translation. 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引用次数: 1

摘要

神经损伤的血液生物标志物如神经丝光(NfL)正在被深入研究,以改善神经退行性疾病的诊断和治疗,但其在帮助区分神经退行性疾病和原发性精神疾病(PPD)方面的能力仍然存在差距,这些疾病的临床表现重叠,通常导致诊断困境。本研究旨在探讨血浆NfL在一系列PPD中的作用,以及血浆NfL在区分PPD与行为变异性额颞叶痴呆(bvFTD)中的诊断价值。bvFTD是一种神经退行性疾病,最初常被误诊为PPD。此外,提高对各种ppd中NfL的理解,大型规范/参考数据集和模型的作用和表现,以促进对个体水平的精确解释,以及协变量的影响,将对未来的研究和临床翻译至关重要。方法采用单分子阵列(Simoa)技术对重度抑郁症(MDD, n=42)、双相情感障碍(BPAD, n=121)、难治性精神分裂症(TRS, n=82)和bvFTD (n=22)患者的血浆NfL进行分析。将4个临床队列组与参考队列(对照组2,n=1926,使用位置、规模和形状的广义加性模型(GAMLSS))和年龄匹配的对照组(对照组1,n=96,使用一般线性模型)进行比较。结果bvFTD(平均NfL 34.9pg/mL)与所有ppd和对照组(均<11pg/mL)之间存在较大差异。血浆NfL区分bvFTD和PPD准确率高;13.3pg/ ml的临界值导致86%的敏感性和88%的特异性。使用大型控制组2的GAMLSS模型与使用局部控制的模型表现相同或优于模型。开发了一个基于互联网的应用程序,以提供基于此参考队列的个性化z分数和百分位数,这可以促进对个人水平的精确解释。与对照组和TRS组相比,BPAD组血浆NfL水平略高。本研究进一步证明了NfL在区分bvFTD和临床相关ppd方面的强大诊断功能,并纳入了迄今为止最大的BPAD队列。迄今为止,在最大的BPAD队列中发现较高的血浆NfL水平应促使进一步的研究。使用大型参考队列和GAMLSS模型可能对未来的研究和临床翻译具有重要意义。研究正在调查血浆NfL的临床和诊断效用,以及基于互联网的应用程序在现实世界初级保健和专科临床环境中对各种神经退行性和原发性精神疾病的可服务性。
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Plasma neurofilament light in behavioural variant frontotemporal dementia compared to mood and psychotic disorders
Objective Blood biomarkers of neuronal injury such as neurofilament light (NfL) are being intensively studied to improve diagnosis and treatment of neurodegenerative disorders, but gaps remain in its ability to assist in distinguishing neurodegenerative from primary psychiatric disorders (PPD) with overlapping clinical presentations that commonly cause diagnostic dilemmas. This study aimed to investigate plasma NfL in a range of PPDs, and the diagnostic utility of plasma NfL in differentiating PPD from behavioural variant frontotemporal dementia (bvFTD), a neurodegenerative disorder commonly misdiagnosed initially as PPD. Furthermore, improved understanding of NfL in a diverse range of PPDs, the role and performance of a large normative/reference data sets and models to facilitate precision interpretation of an individual levels, and the influence of covariates, will be critical for future research and clinical translation. Methods Plasma NfL was analysed using Single molecule array (Simoa) technology in major depressive disorder (MDD, n=42), bipolar affective disorder (BPAD, n=121), treatment-resistant schizophrenia (TRS, n=82), and bvFTD (n=22). Comparisons were made between the four clinical cohort groups, and the reference cohort (Control Group 2, n=1926, using generalised additive models for location, scale, and shape (GAMLSS), and age-matched controls (Control Group 1, n=96, using general linear models), Results Large differences were seen between bvFTD (mean NfL 34.9pg/mL) and all PPDs and controls (all <11pg/mL). Plasma NfL distinguished bvFTD from PPD with high accuracy; a 13.3pg/mLcut-off resulted in 86% sensitivity, 88% specificity. GAMLSS models using the large Control Group 2 performed equally to or outperformed models using local controls. An internet-based application was developed to provide individualised z-scores and percentiles based on this reference cohort, which can facilitate precision interpretation of an individual level. Slightly higher plasma NfL levels were found in BPAD, compared to both control groups, and compared to TRS. Conclusions This study adds further evident on the strong diagnostic utility of NfL to distinguish bvFTD from clinically relevant PPDs, and includes the largest cohort of BPAD to date. The finding of higher plasma NfL levels in the largest cohort of BPAD to date should prompt further investigation. Use of large reference cohorts and GAMLSS modelling may have important implications for future research and clinical translation. Studies are underway investigating clinical and diagnostic utility of plasma NfL and the serviceability of the internet-based application for diverse neurodegenerative and primary psychiatric conditions in real-world primary care and specialist clinical settings.
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