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Prodromal frontotemporal dementia: clinical features and predictors of progression
Alzheimer's Research & Therapy volume 13, Article number: 188 (2021)
The prodromal phase of frontotemporal dementia (FTD) is still not well characterized, and conversion rates to dementia and predictors of progression at 1-year follow-up are currently unknown.
In this retrospective study, disease severity was assessed using the global CDR plus NACC FTLD. Prodromal FTD was defined to reflect mild cognitive or behavioural impairment with relatively preserved functional independence (global CDR plus NACC = 0.5) as well as mild, moderate and severe dementia (classified as global CDR plus NACC = 1, 2, 3, respectively). Disease progression at 1-year follow-up and serum NfL measurements were acquired in a subgroup of patients.
Of 563 participants, 138 were classified as prodromal FTD, 130 as mild, 175 as moderate and 120 as severe FTD. In the prodromal and mild phases, we observed an early increase in serum NfL levels followed by behavioural disturbances and deficits in executive functions. Negative symptoms, such as apathy, inflexibility and loss of insight, predominated in the prodromal phase. Serum NfL levels were significantly increased in the prodromal phase compared with healthy controls (average difference 14.5, 95% CI 2.9 to 26.1 pg/mL), but lower than in patients with mild FTD (average difference -15.5, 95% CI -28.4 to -2.7 pg/mL). At 1-year follow-up, 51.2% of patients in the prodromal phase had converted to dementia. Serum NfL measurements at baseline were the strongest predictors of disease progression at 1-year follow-up (OR 1.07, 95% CI 1.03 to 1.11, p < 0.001).
Prodromal FTD is a mutable stage with high rate of progression to fully symptomatic disease at 1-year follow-up. High serum NfL levels may support prodromal FTD diagnosis and represent a helpful marker to assess disease progression.
Frontotemporal dementia (FTD) encompasses different phenotypes, namely the behavioural variant of FTD (bvFTD) and the agrammatic or the semantic variant of primary progressive aphasia (avPPA and svPPA) [1, 2]. The disease is characterized by a sly onset of executive dysfunctions, behavioural and personality changes, or language impairment [1, 2]. Even though in the last decade the publication of revised clinical criteria and the better definition of FTD phenotypes have substantially improved our understanding of the disease [1, 2], the earliest disease stages and the conversion to fully symptomatic disease, as well as predictors of progression, are still poorly understood.
Prodromal FTD may be defined as the presence of subtle cognitive and/or behavioural changes in the absence of dementia but, unlike the concept of mild cognitive impairment (MCI) in Alzheimer’s disease , no detailed characterization has been presented so far . Attempts to describe the earliest phases have recently been made in monogenic FTD, where the study of at-risk subjects carrying pathogenetic mutations in chromosome 9 open reading frame 72 (C9orf72), progranulin (GRN) and microtubule-associated protein tau (MAPT) has allowed to depict the stages in proximity of dementia conversion [5, 6]. However, in sporadic FTD, the natural history of prodromal disease stages and the rate of conversion to a fully symptomatic disorder have not yet been defined.
Some authors have suggested that a score equal to 0.5 at the global CDR Dementia Staging Instrument plus National Alzheimer’s Coordinating Centre (NACC) behaviour and language domains (CDR plus NACC FTLD—formerly known as FTLD-CDR), may be useful to define prodromal FTD [7,8,9]. Moreover, a few studies in subjects with genetic prodromal FTD have shown that concentrations of neurofilament light (NfL), a marker of neurodegeneration [10,11,12,13,14] and FTD severity [12, 15,16,17], may be related to disease progression and conversion to dementia [18, 19]. The possible role of NfL in prodromal sporadic FTD as a prognostic marker of conversion to dementia has not yet been explored, thus preventing the design of evidence-based interventional strategies on disease progression.
These observations prompted the present retrospective study, carried out in a large cohort of FTD patients sub-grouped according to the global CDR plus NACC FTLD scale, which was aimed at (1) characterizing the clinical and behavioural features of prodromal FTD, as compared to more advance stages of FTD; (2) defining the rate of conversion of prodromal FTD to fully symptomatic disease at one-year follow-up; and (3) assessing the predictors of progression, considering serum NfL levels.
This retrospective study included a consecutive sample of 563 participants from the Centre for Neurodegenerative Disorders, Department of Clinical and Experimental Sciences, University of Brescia, Italy.
Each participant underwent a neurological evaluation, routine laboratory examination and a standardized neuropsychological and behavioural assessment, as previously reported .
In all FTD cases, the diagnosis was supported by brain structural imaging, while CSF concentrations of tau, p-Tau181 and Aβ1-42 or PET amyloid were measured in a subset of cases (n = 223), to rule out Alzheimer’s disease, as previously reported . Furthermore, in familial cases (based on the presence of at least one dementia case among first-degree relatives) and early onset sporadic cases, genetic screening for GRN, C9orf72 and MAPT P301L mutations was performed; given the low frequency of MAPT mutations in Italy , we considered only the P301L mutation and we sequenced the entire MAPT gene only in selected cases.
At baseline, patients underwent a standardized neuropsychological battery which included the Mini-Mental State Examination (MMSE), the short story recall test, the Rey complex figure (copy and recall), phonemic and semantic fluencies, the token test, the clock-drawing test and the trail making test (part A and part B) .
The level of functional independence was assessed with the basic activities of daily living (BADL) and the instrumental activities of daily living (IADL) questionnaires, whereas neuropsychiatric and behavioural disturbances were evaluated with the Frontal Behaviour Inventory (FBI) .
Disease severity was assessed using the global CDR plus NACC FTLD [8, 9]. Prodromal FTD was defined to reflect mild cognitive or behavioural impairment with relatively preserved functional independence, corresponding to a global CDR plus NACC = 0.5; patients with a mild dementia syndrome were classified with a global CDR plus NACC = 1; patients with a moderate or severe dementia syndrome were classified with a global CDR plus NACC = 2 or 3, respectively . To confirm the diagnosis of prodromal FTD, all patients had a follow-up evaluation that confirmed eventual conversion to dementia, or were carriers of a pathogenic FTD mutation.
Disease progression was defined as a transition to a higher global CDR plus NACC score at 1-year follow-up, whereas no progression was defined when an equal or reduced global CDR plus NACC score was recorded at follow-up. One-year follow-up data was available for 258 participants.
A subgroup of patients (n = 192) underwent blood collection for serum NfL measurement; 63 healthy controls (HC) (age 67.0, IQR 61.0–74.0 years) were recruited among spouses or caregivers as reference.
Serum was collected by venipuncture, processed and stored in aliquots at – 80 °C according to standardized procedures. Serum NfL was measured by single-molecule array (Simoa) technology on an HD-X Analyzer using the commercial NF-light® assay according to the manufacturer’s instructions (Quanterix, Billerica, MA). Detailed analytical procedures and assay validation have been previously described . The lower limits of quantitation for serum NfL were 0.174 pg/mL. The measurements were performed out in one round of experiments using the same batch of reagents, and the operators were blinded to all clinical information. Quality control samples had intra-assay and inter-assay coefficients of variation of less than 8 and 20%, respectively.
Continuous and categorical variables are reported as median (interquartile range) and n (%) respectively. Baseline demographic and clinical variables were compared across groups using one-way Kruskal-Wallis or Fisher’s tests, as appropriate. Differences in NfL levels between groups were compared by using the rank-based nonparametric analysis of covariance (ANCOVA) method, with age as a covariate . We reported marginal mean differences with 95% confidence intervals (95% CI) for relevant comparisons.
To assess the contributions of patient characteristics (sex, age, education, presence of genetic mutation, disease duration, clinical phenotype, FBI, MMSE) and NfL levels to disease progression, we developed multilevel univariable and multivariable logistic regression models considering the time- and severity-dependent nature of independent variables throughout different global CDR plus NAAC FTLD groups. To avoid overfitting in the model, variables were chosen based on previous findings [19, 26,27,28,29,30]. Moreover, multicollinearity was checked and only variables with a variance inflation factors (VIF) < 3 were included. Linearity of the continuous variables with respect to the logit of the dependent variable was assessed via the Box-Tidwell procedure . Based on this assessment, all continuous independent variables were found to be linearly related to the logit of the dependent variable. For each factor, odds ratios (ORs) and 95% confidence intervals (CIs) are reported.
For Fig. 1, we calculated standardized differences compared with HC (for NfL measures) or published Italian normative data for neuropsychological tests [32, 33].
A two-sided p value < 0.05 was considered significant and corrected for multiple comparisons using the Benjamini-Hochberg false discovery rate (FDR) . Data analyses were carried out using IBM SPSS 25.0 and GraphPad Prism 8.0 software.
In total, 563 participants (median [IQR] age 66.4 [60.5–72.4] years; 296 males [52.6%]) were included in the present study. Of these, 138 were classified as prodromal FTD (global CDR plus NACC FTLD = 0.5), 130 as mild FTD (global CDR plus NACC FTLD = 1), 175 as moderate FTD (global CDR plus NACC FTLD = 2) and 120 as severe FTD (global CDR plus NACC FTLD = 3). Demographic and neuropsychological characteristics of included patients for each subgroup are reported in Table 1.
Genetic and sporadic cases in each subgroup showed comparable demographic and clinical features, except for age at disease onset and age at evaluation (see Supplementary Table 1).
Regarding different phenotypes, we included 392 bvFTD, 108 avPPA and 63 svPPA patients. We observed a similar distribution of phenotypes between global CDR plus NACC FTLD subgroups (see Table 1).
Prodromal FTD features and FTD evolution
The evolution of functional impairment and neuropsychological symptoms across severity groups are presented in Fig. 1. In the prodromal and mild phases, we observed an early and rapid increase in serum NfL levels, which tended to plateau in the moderate/severe phases. FBI scores were already mildly altered in the prodromal phase and continued to steadily increase in the moderate/severe phases. Considering the extensive neuropsychological assessment, the earliest neuropsychological test to become impaired was the trail making test part B, which was already altered in the prodromal phase, plateauing in the moderate/severe disease phase. On the contrary, MMSE scores steadily deteriorated throughout the whole severity spectrum, particularly in moderated/severe phases. The mild and moderate phases of FTD were characterized by preserved autonomy in BADL and IADL, which were impaired only in severe stages (see Fig. 1).
Single items of the FBI for each disease severity group are reported in Fig. 2. In the prodromal phase, the most prominent symptoms were mainly negative behaviours (FBI part A) as apathy, aspontaneity, indifference, inflexibility, inattention, personal neglect, loss of insight, logopenia and comprehension deficit. Regarding disinhibitory symptoms (FBI part B), hoarding was the most relevant. Negative behaviours were the most prominent symptoms also in the mild, moderate and severe stages (see Fig. 2).
Serum NfL in global CDR plus NACC FTLD subgroups
Serum NfL concentrations were significantly increased in all FTD subgroups compared with HC (age corrected ANCOVA, p < 0.001, η2 = 0.58). Patients with prodromal FTD had higher serum NfL levels compared with HC (average difference 14.5, 95% CI 2.9 to 26.1 pg/mL) but lower NfL levels than in patients with mild FTD (average difference − 15.5, 95% CI − 28.4 to − 2.7 pg/mL). No significant differences in serum NfL levels were observed between mild and moderate FTD or between moderate and severe FTD (see Fig. 3A).
We did not observe significant differences in serum NfL levels in the different phenotypes across global CDR plus NACC FTLD severity groups.
In participants with a 1-year follow-up, in the prodromal FTD group (n = 84), we observed conversion to dementia in 43 patients (51.2%), whereas 41 patients (48.8%) remained in the prodromal phase. Of those converting to dementia, 22 (26.2%) converted to mild dementia, 19 (22.6%) to moderate and 2 (2.4%) to severe dementia.
In the mild FTD group (n = 68), 3 patients (14.7%) reverted to prodromal FTD, 23 (23.5%) patients remained stable as mild FTD, 30 (44.1%) progressed to moderate dementia and 12 (17.6%) to severe dementia.
In the moderate FTD group (n = 68), 1 patient (1.5%) reverted to mild dementia, 27 (39.7%) patients remained stable as moderate FTD and 40 (58.8%) progressed to severe dementia.
In the severe FTD group (n = 38), 3 patients (7.9%) reverted to moderate dementia whereas 35 (92.1%) remained in the same severity subgroup at follow-up (see Fig. 4). Demographic and neuropsychological characteristics of included patients for each subgroup divided in converters and non-converters are reported in Supplementary Table 2.
For each phenotype, we observed that 52.5% of prodromal bvFTD, 41.7% of prodromal avPPA and 53.8% of prodromal svPPA converted to dementia after 1-year follow-up (see Supplementary Fig. 1).
Predictors of progression
The multilevel univariable and multivariable logistic regression models examining factors associated with progression (i.e. the transition to a higher global CDR plus NACC FTLD score at 1-year follow-up) are shown in Table 2. Serum NfL levels, MMSE and FBI scores resulted the most significant predictors in the multilevel multivariable model correctly predicting 74.0% of cases.
In patients classified as prodromal and mild FTD, we observed significant higher levels of serum NfL in patients who converted to mild or moderate dementia, respectively: average difference of 14.0 (95% CI 6.3 to 21.6 pg/mL), p = 0.001 in prodromal FTD; average difference of 26.4 (95% CI 9.1 to 43.7 pg/mL, p = 0.004 in mild FTD (see Fig. 3B). No significant differences in NfL levels between progressors and non-progressors were observed in the moderate FTD group.
The early stages of FTD are still poorly defined and likely encompass a long accrual of progressive preclinical and then prodromal changes, antedating the onset of overt dementia. The study of at-risk subjects in monogenic FTD has provided substantial knowledge on the earliest phases of disease, both clinically and biologically [5, 18]. Conversely, the characterization of the prodromal phases of sporadic FTD as well as the predictors of conversion to dementia are still in need of a proper definition.
The global scoring of the CDR plus NACC FTLD has been shown to be a reliable measure currently available to identify the early phases of FTD, and to have very good interrater reliability comparable to global CDR scores . However, the core features of CDR plus NACC FTLD equal to 0.5, i.e. the related cognitive and behavioural traits, have only been marginally described. In this large retrospective study, we observed that in the prodromal phase, FTD patients were impaired primarily in executive functions, and presented early negative symptoms, as apathy, indifference, loss of insight, logopenia and comprehension deficits. We suggest that the trail making test part B, as already demonstrated in monogenic FTD , and the FBI, could be useful to identify the earliest stages of disease.
Interestingly, FTD patients were characterized by still preserved autonomy in most BADL and IADL up to moderate disease stages, suggesting that the current concept of dementia based on the impairment of activities of daily living cannot be strictly applied to symptomatic FTD.
As well as cognitive and behavioural changes, serum NfL levels have been shown to be valuable markers of disease severity in genetic and sporadic FTD [12, 14, 15, 17, 35,36,37]. In line with studies on genetic FTD, in this work we observed that serum NfL levels were significantly increased already in the prodromal phases of disease compared with healthy controls, but still considerably lower than patients with mild, moderate or severe FTD. Conversely, serum NfL tended to plateau in the more advance stages, with non-significant differences between mild/moderate and moderate/severe stages. These results are similar to what has been observed in the natural history of others neurodegenerative conditions, including amyotrophic lateral sclerosis, sharing common pathways with frontotemporal dementia [38, 39].
The second aim of the present study was to assess the evolution of prodromal FTD over time. We reported that, as with the notion of MCI due to Alzheimer’s disease, the concept of prodromal FTD is highly dynamic and may change over time. Indeed, in our cohort we observed that nearly 50% patients progressed from prodromal FTD to mild or moderate FTD after 1-year follow-up, with similar rates of progression in the other disease severity groups. In few cases, we also observed improvement of severity, with three patients reverting back from mild FTD to prodromal disease. Patients with prodromal avPPA showed slightly reduced conversion rates compared to prodromal bvFTD and svPPA patients. Rate of progression to dementia was higher than in MCI due to Alzheimer’s disease , but further studies in larger samples of prodromal FTD patients are needed.
Finally, we aimed to identify also which factors were associated with the risk of progression. We observed that serum NfL levels were the most significant predictors of conversion to dementia and disease progression, being significantly increased in patients that transitioned to a higher global CDR plus NACC FTLD score at the 1-year follow-up, both in the prodromal and mild FTD stages. NfL levels have already been shown to predict clinical decline and survival in sporadic FTD patients [12, 41, 42], but studies on the impact of NfL levels on the conversion from prodromal to dementia phases were still lacking. Similarly to what we observed in this study, NfL levels have been shown to identify mutation carriers approaching symptom onset in genetic FTD [18, 43].
These findings have important clinical implications. Knowledge of the clinical and biological characteristics of patients in the earliest disease stages is particularly relevant for counselling patients and caregivers, and for the evaluation of outcomes in FTD therapeutic trial designs. Moreover, the assessment of blood NfL levels may provide crucial advice in identifying patients at risk of progression to dementia and may be considered a reliable prognostic marker to be used in clinical trials.
We acknowledge that this study has some limitations. Our study tried to evaluate several clinical and behavioural aspects of prodromal FTD, but further cognitive, behavioural and motor features should be comprehensively explored in prodromal FTD. For sporadic cases, diagnosis was based on clinical features and laboratory/imaging evaluations and might thus be occasionally incorrect. Serum NfL measurements and extensive 1-year follow-up evaluations were not available for all patients; nevertheless, all patients classified as prodromal FTD had a follow-up evaluation that confirmed eventual conversion to dementia or were carriers of a pathogenic FTD mutation. Moreover, the longitudinal evaluation was limited to 1 year, partially restricting further considerations on disease evolution. The unique strength of our study was the extensive and longitudinal characterization of a large number of sporadic prodromal FTD patients.
In conclusion, this study tried to clarify the initial, prodromal phases of FTD, analysing disease progression rates and markers of conversion to dementia, having crucial implications for counselling patients and caregivers, and providing a proper framework for the future design of disease-modifying treatment trials in sporadic FTD.
Availability of data and materials
All study data, including raw and analysed data, and materials will be available from the corresponding author, B.B., upon reasonable request.
Gorno-Tempini ML, Hillis AE, Weintraub S, et al. Classification of primary progressive aphasia and its variants. Neurology. 2011;76(11):1006–14 http://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=21325651&retmode=ref&cmd=prlinks.
Rascovsky K, Hodges JR, Knopman D, et al. Sensitivity of revised diagnostic criteria for the behavioural variant of frontotemporal dementia. Brain. 2011;134(Pt 9):2456–77. https://doi.org/10.1093/Brain/Awr179.
Dubois B, Feldman HH, Jacova C, et al. Advancing research diagnostic criteria for Alzheimer’s disease: the IWG-2 criteria. Lancet Neurol. 2014;13(6):614–29 http://linkinghub.elsevier.com/retrieve/pii/S1474442214700900.
Benussi A, Alberici A, Samra K, et al. Conceptual framework for the definition of preclinical and prodromal frontotemporal dementia. Alzheimers Dement. 2021. Epub ahead of print. https://doi.org/10.1002/alz.12485
Rohrer JD, Nicholas JM, Cash DM, et al. Presymptomatic cognitive and neuroanatomical changes in genetic frontotemporal dementia in the Genetic Frontotemporal dementia Initiative (GENFI) study: a cross-sectional analysis. Lancet Neurol. 2015;14(3):253–62 http://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=25662776&retmode=ref&cmd=prlinks.
Staffaroni AM, Bajorek L, Casaletto KB, et al. Assessment of executive function declines in presymptomatic and mildly symptomatic familial frontotemporal dementia: NIH-EXAMINER as a potential clinical trial endpoint. Alzheimers Dement. 2020;16(1):11–21. https://doi.org/10.1016/j.jalz.2019.01.012.
Miyagawa T, Brushaber D, Syrjanen J, et al. Use of the CDR® plus NACC FTLD in mild FTLD: data from the ARTFL/LEFFTDS consortium. Alzheimers Dement. 2020;16(1):79–90. https://doi.org/10.1016/j.jalz.2019.05.013.
Miyagawa T, Brushaber D, Syrjanen J, et al. Utility of the global CDR ® plus NACC FTLD rating and development of scoring rules: data from the ARTFL/LEFFTDS Consortium. Alzheimers Dement. 2020;16(1):106–17. https://doi.org/10.1002/alz.12033.
Knopman DS, Kramer JH, Boeve BF, et al. Development of methodology for conducting clinical trials in frontotemporal lobar degeneration. Brain. 2008;131(11):2957–68. https://doi.org/10.1093/brain/awn234.
Karantali E, Kazis D, Chatzikonstantinou S, Petridis F, Mavroudis I. The role of neurofilament light chain in frontotemporal dementia: a meta-analysis. Aging Clin Exp Res. 2020;(0123456789). https://doi.org/10.1007/s40520-020-01554-8.
Meeter LHH, Steketee RME, Salkovic D, et al. Clinical value of cerebrospinal fluid neurofilament light chain in semantic dementia. J Neurol Neurosurg Psychiatry. 2019;90(9):997–1004. https://doi.org/10.1136/jnnp-2018-319784.
Benussi A, Karikari TK, Ashton N, et al. Diagnostic and prognostic value of serum NfL and p-Tau 181 in frontotemporal lobar degeneration. J Neurol Neurosurg Psychiatry. 2020;91(9):960–7. https://doi.org/10.1136/jnnp-2020-323487.
Meeter LH, Dopper EG, Jiskoot LC, et al. Neurofilament light chain: a biomarker for genetic frontotemporal dementia. Ann Clin Transl Neurol. 2016;3(8):623–36. https://doi.org/10.1002/acn3.325.
Heller C, Foiani MS, Moore K, et al. Plasma glial fibrillary acidic protein is raised in progranulin-associated frontotemporal dementia. J Neurol Neurosurg Psychiatry. 2020;91(3):263–70. https://doi.org/10.1136/jnnp-2019-321954.
Rohrer JD, Woollacott IOC, Dick KM, et al. Serum neurofilament light chain protein is a measure of disease intensity in frontotemporal dementia. Neurology. 2016;87(13):1329–36. https://doi.org/10.1212/WNL.0000000000003154.
Spotorno N, Lindberg O, Nilsson C, et al. Plasma neurofilament light protein correlates with diffusion tensor imaging metrics in frontotemporal dementia. PLoS One. 2020;15(10 October):1–14. https://doi.org/10.1371/journal.pone.0236384.
Steinacker P, Anderl-Straub S, Diehl-Schmid J, et al. Serum neurofilament light chain in behavioral variant frontotemporal dementia. Neurology. 2018;91(15):e1390–401 http://www.neurology.org/lookup/doi/10.1212/WNL.0000000000006318.
van der Ende EL, Meeter LH, Poos JM, et al. Serum neurofilament light chain in genetic frontotemporal dementia: a longitudinal, multicentre cohort study. Lancet Neurol. 2019;18(12):1103–11. https://doi.org/10.1016/S1474-4422(19)30354-0.
Rojas JC, Wang P, Staffaroni AM, et al. Plasma neurofilament light for prediction of disease progression in familial frontotemporal lobar degeneration. Neurology. 2021;0. https://doi.org/10.1212/WNL.000000000001184.
Benussi A, Gazzina S, Premi E, et al. Clinical and biomarker changes in presymptomatic genetic frontotemporal dementia. Neurobiol Aging. 2019;76:133–40. https://doi.org/10.1016/j.neurobiolaging.2018.12.018.
Borroni B, Benussi A, Archetti S, et al. Csf p-tau181/tau ratio as biomarker for TDP pathology in frontotemporal dementia. Amyotroph Lateral Scler Frontotemporal Degener. 2015;16(1-2):86–91. https://doi.org/10.3109/21678421.2014.971812.
Fostinelli S, Ciani M, Zanardini R, et al. The heritability of frontotemporal lobar degeneration: validation of pedigree classification criteria in a Northern Italy cohort. J Alzheimers Dis. 2018;61(2):753–60. https://doi.org/10.3233/JAD-170661.
Cosseddu M, Benussi A, Gazzina S, et al. Mendelian forms of disease and age at onset affect survival in frontotemporal dementia. Amyotroph Lateral Scler Frontotemporal Degener. 2018;19(1-2):87–92. https://doi.org/10.1080/21678421.2017.1384020.
Cosseddu M, Benussi A, Gazzina S, et al. Progression of behavioural disturbances in frontotemporal dementia: a longitudinal observational study. Eur J Neurol. 2020;27(2):265–72. https://doi.org/10.1111/ene.14071.
Quade D. Rank analysis of covariance. J Am Stat Assoc. 1967;62(320):1187. https://doi.org/10.2307/2283769.
Roberto N, Portella MJ, Marquié M, et al. Neuropsychiatric profiles and conversion to dementia in mild cognitive impairment, a latent class analysis. Sci Rep. 2021;11(1):1–9. https://doi.org/10.1038/s41598-021-83126-y.
Benussi A, Premi E, Gazzina S, et al. Progression of behavioral disturbances and neuropsychiatric symptoms in patients with genetic frontotemporal dementia. JAMA Netw Open. 2021:1–17. https://doi.org/10.1001/jamanetworkopen.2020.30194.
Tavares TP, Mitchell DGV, Coleman KKL, et al. Early symptoms in symptomatic and preclinical genetic frontotemporal lobar degeneration. J Neurol Neurosurg Psychiatry. 2020;91(9):975–84. https://doi.org/10.1136/jnnp-2020-322987.
Gazzina S, Grassi M, Premi E, et al. Education modulates brain maintenance in presymptomatic frontotemporal dementia. J Neurol Neurosurg Psychiatry. 2019:1–7. https://doi.org/10.1136/jnnp-2019-320439.
Devenney E, Bartley L, Hoon C, et al. Progression in behavioral variant frontotemporal dementia: a longitudinal study. JAMA Neurol. 2015;72(12):1501–9. https://doi.org/10.1001/jamaneurol.2015.2061.
Box GEP, Tidwell PW. Transformation of the independent variables. Technometrics. 1962;4(4):531–50. https://doi.org/10.1080/00401706.1962.10490038.
Magni E, Binetti G, Bianchetti A, Rozzini R, Trabucchi M. Mini-Mental State Examination: a normative study in Italian elderly population. Eur J Neurol. 1996;3(3):198–202 http://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=21284770&retmode=ref&cmd=prlinks.
Giovagnoli AR, Del Pesce M, Mascheroni S, Simoncelli M, Laiacona M, Capitani E. Trail making test: normative values from 287 normal adult controls. Ital J Neurol Sci. 1996;17(4):305–9. https://doi.org/10.1007/bf01997792.
Benjamini Y, Hochberg Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc Ser B. 1995;57(1):289–300.
Panman JL, Venkatraghavan V, Van Der Ende EL, et al. Modelling the cascade of biomarker changes in GRN -related frontotemporal dementia. J Neurol Neurosurg Psychiatry. 2021;92(5):494–501. https://doi.org/10.1136/jnnp-2020-323541.
Gaetani L, Blennow K, Calabresi P, Di Filippo M, Parnetti L, Zetterberg H. Neurofilament light chain as a biomarker in neurological disorders. J Neurol Neurosurg Psychiatry. 2019;90(8):870–81. https://doi.org/10.1136/jnnp-2018-320106.
van der Ende EL, Xiao M, Xu D, et al. Neuronal pentraxin 2: a synapse-derived CSF biomarker in genetic frontotemporal dementia. J Neurol Neurosurg Psychiatry. 2020;91(6):612–21. https://doi.org/10.1136/jnnp-2019-322493.
De Schaepdryver M, Lunetta C, Tarlarini C, et al. Neurofilament light chain and C reactive protein explored as predictors of survival in amyotrophic lateral sclerosis. J Neurol Neurosurg Psychiatry. 2020;91(4). https://doi.org/10.1136/jnnp-2019-322309.
Steinacker P, Feneberg E, Weishaupt J, et al. Neurofilaments in the diagnosis of motoneuron diseases: a prospective study on 455 patients. J Neurol Neurosurg Psychiatry. 2016;87(1):12–20. https://doi.org/10.1136/jnnp-2015-311387.
Ottoy J, Niemantsverdriet E, Verhaeghe J, et al. Association of short-term cognitive decline and MCI-to-AD dementia conversion with CSF, MRI, amyloid- and 18 F-FDG-PET imaging. NeuroImage Clin. 2019;22(September 2018):101771. https://doi.org/10.1016/j.nicl.2019.101771.
Skillbäck T, Mattsson N, Blennow K, Zetterberg H. Cerebrospinal fluid neurofilament light concentration in motor neuron disease and frontotemporal dementia predicts survival. Amyotroph Lateral Scler Front Degener. 2017;18(5-6):397–403. https://doi.org/10.1080/21678421.2017.1281962.
Illán-Gala I, Lleo A, Karydas A, et al. Plasma tau and neurofilament light in frontotemporal lobar degeneration and Alzheimer’s disease. Neurology. 2020. https://doi.org/10.1212/wnl.0000000000011226.
Rojas JC, Karydas A, Bang J, et al. Plasma neurofilament light chain predicts progression in progressive supranuclear palsy. Ann Clin Transl Neurol. 2016;3(3):216–25 http://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=27042681&retmode=ref&cmd=prlinks.
We thank our participant volunteers and their families for their participation.
AB was partially supported by the Airalzh-AGYR2020; HZ is a Wallenberg Scholar supported by grants from the Swedish Research Council (#2018-02532), the European Research Council (#681712), Swedish State Support for Clinical Research (#ALFGBG-720931), the Alzheimer Drug Discovery Foundation (ADDF), USA (#201809-2016862), the AD Strategic Fund and the Alzheimer's Association (#ADSF-21-831376-C, #ADSF-21-831381-C and #ADSF-21-831377-C), the Olav Thon Foundation, the Erling-Persson Family Foundation, Stiftelsen för Gamla Tjänarinnor, Hjärnfonden, Sweden (#FO2019-0228), the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 860197 (MIRIADE), and the UK Dementia Research Institute at UCL. KB was supported by the Swedish Research Council (#2017-00915), the Alzheimer Drug Discovery Foundation (ADDF), USA (#RDAPB-201809-2016615), the Swedish Alzheimer Foundation (#AF-742881), Hjärnfonden, Sweden (#FO2017-0243), the Swedish state under the agreement between the Swedish government and the County Councils, the ALF-agreement (#ALFGBG-715986), the European Union Joint Program for Neurodegenerative Disorders (JPND2019-466-236), and the National Institute of Health (NIH), USA, (grant #1R01AG068398-01). BB was supported by the RF-2018-12366665 grant (Italian Ministry of Health). This study was partially funded by the Italian Ministry of Health (Ricerca Corrente).
Ethics approval and consent to participate
Full written informed consent was obtained from all subjects according to the Declaration of Helsinki. The Brescia Ethics Committee approved the study protocol.
Consent for publication
HZ has served at scientific advisory boards for Eisai, Denali, Roche Diagnostics, Wave, Samumed, Siemens Healthineers, Pinteon Therapeutics, Nervgen, AZTherapies and CogRx, has given lectures in symposia sponsored by Cellectricon, Fujirebio, Alzecure and Biogen and is a co-founder of Brain Biomarker Solutions in Gothenburg AB (BBS), which is a part of the GU Ventures Incubator Program (outside submitted work). KB has served as a consultant, at advisory boards, or at data monitoring committees for Abcam, Axon, Biogen, JOMDD/Shimadzu. Julius Clinical, Lilly, MagQu, Novartis, Roche Diagnostics and Siemens Healthineers and is a co-founder of Brain Biomarker Solutions in Gothenburg AB (BBS), which is a part of the GU Ventures Incubator Program.
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Additional file 1: Supplementary Table 1.
Demographic and clinical characteristics of FTLD patients grouped according to the global CDR plus NACC FTLD and mutational status. Supplementary Table 2. Demographic and clinical characteristics of FTLD patients grouped according to the global CDR plus NACC FTLD and conversion at 12-months follow-up. Supplementary Figure 1. Sankey diagram showing the evolution of patients according to the global CDR plus NACC FTLD and phenotype.
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Benussi, A., Ashton, N.J., Karikari, T.K. et al. Prodromal frontotemporal dementia: clinical features and predictors of progression. Alz Res Therapy 13, 188 (2021). https://doi.org/10.1186/s13195-021-00932-2
- Frontotemporal dementia
- Serum neurofilament light