Skip to main content

Extended FTLD pedigree segregating a Belgian GRN-null mutation: neuropathological heterogeneity in one family

Abstract

Background

In this paper, we describe the clinical and neuropathological findings of nine members of the Belgian progranulin gene (GRN) founder family. In this family, the loss-of-function mutation IVS1 + 5G > C was identified in 2006. In 2007, a clinical description of the mutation carriers was published that revealed the clinical heterogeneity among IVS1 + 5G > C carriers. We report our comparison of our data with the published clinical and neuropathological characteristics of other GRN mutations as well as other frontotemporal lobar degeneration (FTLD) syndromes, and we present a review of the literature.

Methods

For each case, standardized sampling and staining were performed to identify proteinopathies, cerebrovascular disease, and hippocampal sclerosis.

Results

The neuropathological substrate in the studied family was compatible in all cases with transactive response DNA-binding protein (TDP) proteinopathy type A, as expected. Additionally, most of the cases presented also with primary age-related tauopathy (PART) or mild Alzheimer’s disease (AD) neuropathological changes, and one case had extensive Lewy body pathology. An additional finding was the presence of cerebral small vessel changes in every patient in this family.

Conclusions

Our data show not only that the IVS1 + 5G > C mutation has an exclusive association with FTLD-TDP type A proteinopathy but also that other proteinopathies can occur and should be looked for. Because the penetrance rate of the clinical phenotype of carriers of GRN mutations is age-dependent, further research is required to investigate the role of co-occurring age-related pathologies such as AD, PART, and cerebral small vessel disease.

Background

Frontotemporal lobar degeneration (FTLD) accounts for 10–15% of all dementias and represents the second most common cause of young-onset dementia. FTLD is always associated with atrophy of the frontal and/or temporal lobes and is sometimes markedly asymmetrical. The clinical phenotype of FTLD includes two major cognitive syndromes: behavioral variant frontotemporal dementia (bvFTD) and primary progressive aphasia (PPA) [1,2,3]. FTLD is often associated with extrapyramidal symptomatology, being referred to as frontotemporal lobar degeneration with parkinsonism (FTDP), or with motor neuron disorders (FTLD-MNDs), of which amyotrophic lateral sclerosis (ALS) is the most common.

A familial history is present in up to 40% of patients with FTLD, with a pattern suggestive of autosomal dominant inheritance in 10–20% of FTLD families. In 1998, frontotemporal dementia associated with parkinsonism was linked to chromosome 17 (FTDP-17), leading to the discovery of the microtubule-associated protein tau gene (MAPT) [4,5,6] in 1998 and of the progranulin gene (GRN) in 2006 [7, 8].

Mutations in MAPT are often associated with tau aggregates (FTLD-tau), whereas transactive response DNA-binding protein 43 (TDP-43) inclusions (FTLD-TDP) are found in patients with mutations in the C9orf72 [9,10,11], GRN [7, 12], valosin-containing protein gene (VCP) [13], TARDBP [14], or TBK1 genes [15]. Rare proteinopathies include FTLD-UPS (ubiquitin proteasome system), caused by mutations in chromatin-modifying protein 2B (CHMP2B) [16, 17] and FTLD-FUS (fused in sarcoma) [18], or FTLD with inclusions belonging to other proteins of the FET family (FUS, EWSR1, and TAF15 family of proteins) [19], for which the underlying genetic causes are still unknown.

TDP proteinopathies are classified into four subtypes, A through D [20]. TDP type A is characterized by many neuronal intracytoplasmic inclusions (NCIs) and short dystrophic neurites (DNs) predominantly in the second cortical layer, whereas TDP type B is represented by a moderate amount of NCIs and few DNs, present in all cortical layers. Type C inclusions are typically long DNs, mainly in the second cortical layer. TDP type D inclusions are characterized by many neuronal intranuclear inclusions (NIIs). Because the neuropathological diagnosis has a variable link with the clinical picture, the connection with the causative gene mutations is much stronger. GRN mutations are associated with FTLD-TDP type A. Mutations in GRN cause 15–40% of FTLD-TDP cases [21,22,23,24]. In Belgium, GRN mutations are the second most prevalent mutations causing FTLD, with C9orf72 G4C2 repeat expansions being the most prevalent [25].

The penetrance rate seems to be age-dependent, just as it is in C9orf72 mutations [25]. Gass et al. found that by the age of 60, nearly 50% of the carriers were affected, whereas 90% of patients showed symptomatology by the age of 90 [22]. The heterogeneity of the clinical phenotypes in GRN mutations and the incomplete penetrance of a mutation [26] can make it difficult to recognize an autosomal dominant pattern of inheritance.

GRN is located on chromosome 17q21, and the first loss-of-function mutations in GRN were identified in 2006 [7, 8]. Cruts et al. described a point mutation in the splice donor site of intron 1 (IVS1 + 5G > C) in the Belgian DR8 family [8, 12]. Consequently, intron 1 splicing is prohibited, and the mutant transcript is retained in the nucleus, where it is degraded, leading to a null allele and 50% of GRN production. This mutation was shown to be a founder mutation and is the most frequent GRN mutation in patients with frontotemporal dementia (FTD) in the Belgian Flanders population [8] (Wauters E, Van Mossevelde S, Sleegers K: Phenotypic characteristics and genetic onset age modifiers in an extended Belgian GRN founder family. Submitted). Since the identification of GRN, 172 different mutations have been described (http://www.molgen.ua.ac.be) [27]. Next to null mutations [28], partial deletions of the GRN gene have also been described in FTLD [29, 30]. GRN missense mutations have also been observed in Alzheimer’s disease (AD) and ALS [31,32,33].

Progranulin is a growth factor expressed by many cells, including neurons. Progranulin can be cleaved to form smaller peptides, called granulins, which have an additional role in inflammation, wound repair, and cell cycling [24]. As a result of the haploinsufficiency, low progranulin levels are found in the plasma, serum, and cerebrospinal fluid of symptomatic and asymptomatic GRN mutation carriers and were also present in the family we are presently reporting [34, 35].

Cerebral small vessel disease (SVD) is a common finding in the elderly brain, and its pathology appears in the presence of risk factors such as smoking habit, hypertension, hypercholesterolemia, and diabetes mellitus. There is a known link with AD and Lewy body disease [36], but to date there are no data regarding SVD in patients carrying a GRN mutation. De Reuck et al. found no cerebrovascular changes in 22 patients with FTLD, 2 of whom carried a GRN mutation [37]. Because Thal et al. recently found an association between cerebral SVD and Pick’s disease [38], it is of interest whether cerebral SVD could play a role in this disease.

We characterized the neuropathological data of nine members of the Belgian GRN founder family in an extensive sampling of brain regions, and we compared our data with the published clinical and neuropathological characteristics of other GRN mutations and other FTLD syndromes. Furthermore, because white matter pathology is a common finding on cerebral structural imaging of GRN mutation carriers, and because this finding was also observed in our GRN founder family, we examined the white matter and cerebral small vessels in different brain regions in this family.

Methods

Neuropathological evaluation was carried out in nine members of an extended family of patients with FTLD carrying the GRN IVS1 + 5G > C mutation, which was previously reported in 2006 [8]. Neuropathological findings of one patient in this family (DR205.1) were previously described with the techniques available at that time. The nine patients were members of six different branches of the GRN founder family (for pedigree, see (Wauters E, Van Mossevelde S, Sleegers K: Phenotypic characteristics and genetic onset age modifiers in an extended Belgian GRN founder family. Submitted)). All available clinical and iconographical data of these patients were reviewed. Because the subjects originated from different regions in Flanders (Belgium), they were followed by different neurologists in different centers. Consequently, the diagnostic approaches and performed investigations or neuropsychological tests done during the patients’ lifetimes varied between patients and in the clinical data. For most of the patients, we had access to clinical data concerning medical history, clinical neurological evaluations, neuropsychological evaluations, and brain imaging (structural and functional). The right hemisphere was neuropathologically examined, as was the circle of Willis when present.

We used standardized sampling and staining techniques (see Additional file 1) to identify histological changes, proteinopathies, and cerebral small vessel pathology. For AD neuropathological diagnosis and for its clinicopathological correlation, the criteria of Montine et al. were used [39]; for Lewy body pathology, the classification of McKeith et al. was used [40]; and for TDP proteinopathies, we used the Mackenzie et al. criteria [20]. For staging of cerebrovascular pathology, we refer to the work of Deramecourt et al. [36], and for the clinicopathological correlations of the cerebrovascular pathology, we refer to the work by Skrobot et al. [41]. The methodological data concerning DNA extraction, clinical findings, neuropsychological assessments, and imaging can be found in Additional file 1.

Results

Neuropathological findings

Macroscopic findings

Macroscopic findings in eight of nine patients (no data available for patient DR205.1) were compatible with moderate to severe frontal atrophy, with a relative sparing of the precentral gyrus (Fig. 1a, b; Table 1). To a lesser extent, temporal and/or parietal cortices (Fig. 1d) were also atrophied, in addition to the head of the caudate nucleus (Fig. 1c). For the full macroscopic data, see Additional file 2. Because our research protocol included the preservation of the left hemisphere at −80 °C, statements about asymmetry were not possible.

Fig. 1
figure 1

Macroscopic images. a Lateral view of the right hemisphere in DR2.3. Note the frontal and temporal, and to a lesser extent parietal, atrophy. Area 4 (arrow) is relatively preserved. b Medial view of right hemisphere in DR2.3. The superior frontal gyrus is atrophied, whereas the straight gyrus is relatively spared. c Coronal section of the right hemisphere trough the head of the caudate nucleus in DR2.3. There is a flattened, nearly concave aspect of the caudate nucleus. d Coronal sections trough the parietotemporal lobes in DR8.1. The lateral ventricle is dilated, especially the temporal horn. Temporal atrophy is more pronounced than parietal atrophy

Table 1 Macroscopic findings

In three of six patients, we saw mild atherosclerotic plaques or minimal fibrotic changes in the arteries of the circle of Willis.

Histological findings

In all patients, a moderate to severe cortical neuronal loss with astrocytosis was seen in Brodmann area 24, more than in areas 6–8 and 11 and more than in precentral area 4. The temporal neocortex was atrophic in three cases, whereas every case presented with mild to moderate neuronal loss in CA1, the subiculum, and the pro- and parasubiculum (Table 2). There was severe atrophy in the neostriatum; the substantia nigra had substantial neuronal loss in all cases, whereas the locus coeruleus was affected in four of nine patients. There were no abnormalities in the cerebellum or thalamus. Figure 2 summarizes the major histological abnormalities.

Table 2 Co-occurring Alzheimer’s disease pathology and clinicopathological correlation, hippocampal neuronal loss, and apolipoprotein E genotype
Fig. 2
figure 2

Grouped histopathological findings. Entorhinal cortex (ER), transentorhinal cortex (TER), gyrus occipitotemporalis lateralis (GOTL), dorsomedial formation (DMF), and status pigmentatus (SP). Semiquantitative analysis of the average neuronal cell loss in every region of interest. nl Normal, ↓ Slight neuronal loss, ↓↓ Moderate neuronal loss, ↓↓↓ Severe neuronal loss

Small vessel disease

In every patient, small vessel changes were present. Trichrome staining showed a preferential thickening of the arteriolar wall in cortex and white matter. (Small arteries were defined as arterioles when the diameter was between 40 and 150 μm [36].) Arteriolosclerosis was characterized by thickening of the vessel wall and reduplication of the internal elastic layer. Other features of SVD included a dilation of the perivascular space, perivascular demyelination, and perivascular hemosiderin leakage (Fig. 3). The staging system of Deramecourt et al. [36] was used to semiquantify SVD. In the frontal lobes, SVD was more severe than in the temporal lobes, basal ganglia, and hippocampus (Table 3). Using the vascular cognitive impairment neuropathological guidelines, on the basis of the presence of leptomeningeal cerebral amyloid angiopathy, subcortical macroinfarcts, and arteriolosclerosis in the occipital lobe, we could estimate that there was a low likelihood that the cerebrovascular pathology contributed to the cognitive decline in our cases (Table 3).

Fig. 3
figure 3

Cerebral small vessel disease. a DR2.3. H&E stain of perivascular hemosiderin deposits in the hippocampus. Arrows show many siderophages. b DR25.5. H&E stain of the corpus callosum. Arrows show thickening of the arteriolar wall. c DR25.5. H&E stain of the temporal white matter. Arrows show thickening of the arteriolar walls with mild perivascular demyelination

Table 3 Cerebral small vessel disease and its clinicopathological correlation

Immunohistology

In all patients, TDP proteinopathy type A could be diagnosed (Fig. 4). Lesions were, as expected, more severe in the frontal and temporal neocortices. In the frontal cortex, most lesions were found in areas 6 and 8, area 24, and area 11, compared with prefrontal area 4. The temporal superior gyrus demonstrated a moderate to high lesion load, whereas only a mild to moderate amount of TDP pathology was present in the hippocampal and parahippocampal structures.

Fig. 4
figure 4

Transactive response DNA-binding protein (TDP) pathology (paraffin-embedded sections stained with antihyperphosphorylated TDP-43 antibody). a DR25.5 area 6. There is a moderate amount of neuronal intracytoplasmic inclusions (NCIs) (arrows), mainly in the second cortical layer. The dystrophic neurites (arrowhead) are more evenly spread throughout the entire cortex. b DR2.3 superior temporal gyrus. Mild to moderate TDP-43 proteinopathy type A with NCIs (arrow) and dystrophic neurites (arrowheads) can be seen. c DR28.1 dentate gyrus. There are scarce NCIs (arrow) in the granular layer. d DR31.1 area striata. A mild amount of NCIs (arrows) and dystrophic neurites (arrowheads) in the second cortical layer can be seen

In eight patients (no data available for DR205.1), there was mild to moderate TDP-43 proteinopathy in the parietal cortex (area 7), whereas in four of eight patients, the occipital lobe was affected. In the neostriatum, lesions were moderate to numerous and were evenly spread throughout the caudate nucleus and putamen. Sparse lesions were found in the dorsomedial formation of the thalamus in seven of nine patients.

Glial cytoplasmic inclusions (GCIs) were found in the subcortical and deeper white matter of the frontal and parietal lobes and rarely in the mesotemporal white matter. Except for rare DNs and occasional GCIs, no inclusions were found in the substantia nigra, pons, or medulla oblongata. No NCIs were present in the neurons of the hypoglossal nucleus. The cerebellum was normal.

The degree of TDP-43 inclusions was moderate, varying from sparse (0–1/mm2) (±), to mild (<5/mm2) (+), to moderate (5–20/mm2) (++), to extensive (> 20/mm2) (+++). The most common lesions were skein-like NCIs and short DNs. Sporadically, cat’s-eye NIIs were found, mainly in the frontotemporal neocortex. The lesion load was most profound in the second cortical layer. A summary of the TDP pathology is presented in Fig. 5.

Fig. 5
figure 5

Transactive response DNA-binding protein pathology in different brain areas. ± (sparse (0–1/mm2)), + (mild (< 5/mm2)), ++ (moderate (5–20/mm2)), +++ (extensive (> 20/mm)). The average lesion load is shown for the most important regions of interest. Striped bar represents the amount of neuronal intracytoplasmic inclusions, whereas the dark bar represents the amount of short dystrophic neurites. With the dotted bar, the neuronal intranuclear inclusions are shown. NCI Neuronal intracytoplasmic inclusions, DN Dystrophic neurites, NII Nuclear intraneuronal inclusions, DMF Dorsomedial formation, ER Entorhinal cortex, TER Transentorhinal cortex, GOTL Gyrus occipitotemporalis lateralis, DG Dentate gyrus

In all patients, FUS and prion staining was negative. P62 stain could not elicit any additional pathology. In all patients, AD-related pathology was found; however, the lesion load remained mild. Two patients had A1B1C1 (DR2.3, DR31.1), one patient presented with A2B1C1 (DR205.1), and one patient presented with A3B1C1 (DR28.1). The five remaining patients presented with neurofibrillary tangles in the hippocampus and parahippocampal gyrus without β-amyloid pathology, diagnosed as AD neuropathological changes A0B1C0 [39], also referred to as primary age-related tauopathy (PART) [42]. Table 2 summarizes the AD neuropathological changes using the Montine criteria, as well as the clinicopathological correlation.

One patient (DR205.1) clinically presented with a combination of FTLD and Parkinson’s disease (PD). This case revealed many Lewy bodies in the substantia nigra and the formatio reticularis, and to a lesser extent in the frontal and temporal cortices, the hippocampus, and the parahippocampal gyrus. A dual diagnosis of FTLD-TDP type A and diffuse Lewy body disease, neocortical type, was made [40].

Clinical, neuropsychological, and imaging data

We evaluated nine patients (four females, five males). Symptomatology started between the ages of 55 and 70 years, with a mean onset age of 62. The disease lasted, on average, 5.3 years (range 2.3–8.6). The mean age at death was 67 years (range 60–75). Symptomatology was mostly frontotemporal (four of nine bvFTD, four of nine PPA), except in one patient who was clinically diagnosed with PD (DR205.1). This patient developed frontotemporal symptoms as well, later in the disease. The demographic characteristics of the evaluated patients are summarized in Table 4, whereas the clinical and neuropsychological characteristics, as well as imaging data, are discussed in Additional files 3 and 4. Table 5 summarizes the cerebrovascular risk factors.

Table 4 Demographic data
Table 5 Cerebrovascular risk factors

Discussion

This report describes the clinical and neuropathological findings in nine members of a Belgian GRN founder family. This extended Belgian founder family was first described by van der Zee et al. in 2006 after the identification of an ancestral haplotype at 17q21 in seven (unrelated) familial tau-negative patients with FTLD. The IVS1 + 5G > C GRN mutation was found as a causal gene defect [8]. This family has been further explored, and to date we have genealogical data of 29 branches over 5 generations.

Neuropathology

Severe frontal and temporal neocortical loss was observed. Next to the neocortical atrophy, every patient had a neuronal cell loss in CA1 and the subiculum. There was no hippocampal sclerosis. These findings are comparable with the data published by Josephs et al. in 2007 [43]. In all our cases, TDP-43 type A proteinopathy was observed, confirming previously published data [20].

We compared our neuropathological data in these patients with data of patients in our database carrying other GRN mutations (n = 2), C9orf72 expansion repeat mutations (n = 15), TBK1 mutations (n = 2), and VCP mutations (n = 3) [15, 25, 44, 45]. In our study, the presence of a TDP type A proteinopathy and the absence of dipeptide repeat pathology in the dentate gyrus and hippocampus allowed us to differentiate between GRN and C9orf72 mutations. We found no differences in TDP lesion load between the IVS1 + 5G > C GRN mutation and other GRN mutations. We observed that, compared with the C9orf72 carriers, the precentral cortex area 4 was less affected. In both GRN and C9orf72 carriers, parietal involvement was present; however, it was less explicit than frontotemporal atrophy. In four patients carrying the IVS1 + 5G > C GRN mutation, we also found a mild TDP proteinopathy in the occipital cortex.

In the TBK1 carriers, the neuropathological diagnosis was compatible with a TDP type B proteinopathy, with involvement of all the frontal and temporal neocortices, the hippocampal dentate gyrus, the parahippocampal transentorhinal cortex, the neostriatum, and the pallidum. TDP pathology was also present in motor neurons, whereas in the GRN patients, this was not the case. The VCP patients carried an abundant load of TDP pathology in similar affected areas. The main difference was the high amount of intranuclear inclusions, compatible with a TDP proteinopathy type D.

We can assume that the clinical presentation is not linked to the TDP proteinopathy itself, but rather is the consequence of the specific cortical areas that are involved. The finding of TDP type A pathology spread throughout the entire cortex, though to a lesser extent in the parietal and occipital cortices, can explain the generalized cortical brain atrophy visualized by structural imaging [46, 47]. No TDP-43 pathology was found in the hypoglossal nucleus in our study, supporting the clinical evidence that motor neuron disease was not present in this family.

Because TDP-43 inclusions can also be found in carriers of VCP and C9orf72 mutations, this suggests that TDP-43 dysregulation is merely a downstream effect through a common pathway leading to cell death [48]. The finding of the TDP inclusions is indeed not specific for underlying gene defects, although the pattern of TDP inclusions and associated proteinopathies can be suggestive of a specific gene mutation.

The distribution of the TDP-43 pathology in specific neocortical structures favors a protein distribution through neuronal pathways instead of proximity [49]. It is assumed that every specific neurodegenerative syndrome has its own specific region working as an “epicenter.” This epicenter is critical in the neuronal networks, whose normal connectivity profiles resemble the pattern of atrophy in that specific disease, in our case FTLD. Several network degeneration mechanisms have been suggested [50]. The presence of neostriatal lesions could support this hypothesis of degeneration of neuronal networks because the striatum has projections to many (frontotemporal) cortical areas. In addition to cortical abnormalities, white matter involvement visualized by cerebral imaging has been reported in patients carrying a GRN mutation [21, 51, 52]. Compared with patients with MAPT mutations, however, GRN mutation carriers would tend to show less white matter abnormalities [53]. Because white matter pathology was also seen on neuroimaging studies in five of our patients, we investigated the proteinopathy and vessel involvement in the cortex and white matter. Glial TDP proteinopathy is regularly found in patients with GRN mutations, and this was also the case in all our patients [53].

Furthermore, we found mild to moderate cerebral SVD, most pronounced in the frontal lobe, whereas only normal vascular findings have been described in patients with FTLD [37, 54]. We assume that the SVD is merely the consequence of the age of our patients as well as the comorbidity and presence of cerebrovascular risk factors. The clinicopathological correlation of the cerebral vascular pathology is low, but an influence on the disease mechanism cannot be excluded.

Additionally, a concomitant neuropathological diagnosis of AD or PART could be made in all patients. In every case, however, neuropathological findings suggestive of AD were mild and could be classified as not more than A3B1C1. As presented in Table 2, we assume that there is no correlation between the neuropathological findings and the clinical symptomatology. Five patients could be considered as examples of PART [40]. One patient presented with a mixed diagnosis of FTLD-TDP and diffuse Lewy body pathology, neocortical type.

We investigated whether the apolipoprotein E (ApoE) genotype (Table 2) could be related to the AD pathology. Most patients were homozygous for the ApoE ɛ3 allele (five of nine). Three patients were carrying the ApoE ɛ2 allele, whereas two patients were heterozygous carriers of the ApoE ɛ4 risk allele. These latter two patients had a slightly more severe Montine score for AD pathology, but without clinical significance.

The high frequency of concomitant pathologies in GRN mutation carriers, such as the combination of FTLD with PD or FTLD with AD [55,56,57], might indicate that loss or partial loss of GRN could advance pathological features of other neurodegenerative diseases in an early stage [58]. Petkau and Leavitt reviewed data on progranulin in neurodegenerative diseases and suggested that GRN variants resulting in decreased progranulin expression might be risk factors for both FTLD and other dementias and that common GRN variants can act as modifying factors for age of onset, disease duration, and risk of disease in ALS, AD, multiple sclerosis, bipolar disorder, and schizophrenia [59].

The combined occurrence of TDP-43 lesions, AD pathology, and PD pathology favors the hypothesis that progranulin is a protective growth factor, with the IVS1 + 5G > C mutation resulting in a loss of function of progranulin. This results from a cascade of defective biological processes in an expansion of neurodegenerative processes leading toward protein deposits and cell degeneration [60]. However, because AD and PD are frequent neurodegenerative disorders, a coexistence of these disorders could be merely a consequence of age-related risk factors. Different studies have elicited the co-occurrence of proteinopathies in patients carrying a GRN mutation [21, 43, 54], whereas other groups could not confirm this [43].

Clinical presentation

Our clinical data confirm that the age of disease onset is older than in patients with MAPT or C9orf72 mutations. Symptomatology started at the age of 62 (range 55–70), and the disease lasted, on average, 5.3 years (2.30–8.56), whereas disease in MAPT mutation carriers often starts earlier. Van Langenhove et al. [25] found a mean onset age of 56.9 years (range 49–65) in a Belgian FTLD cohort with the MAPT mutation, and Whitwell et al. [61] described an even younger mean onset age of 44 years (range 24–63) in MAPT mutation carriers. In patients with a C9orf72 repeat expansion, the described mean onset age was younger as well. Van Langenhove et al. [25], and later Van Mossevelde et al. [62], described mean onset ages of 55.3 years (range 42–69) and 54.3 years (range 29–75), respectively, in Belgian patients with FTLD with a C9orf72 repeat expansion.

When we compare our findings with those in other GRN mutation carriers, the findings are similar, although a broad range of onset ages has been described. In the whole Belgian GRN founder family, onset ages varying between 45 and 70 years have been described [8]. Different cohorts of GRN mutation carriers have resulted in different mean onset ages with broad ranges from 55 years (range 37–72) [63] to 64.5 years (range 49–88) [64]. Even within one family of GRN mutation carriers, broad ranges have been described for the onset age. Snowden et al. described a variation in the onset ages in one family of 23 years [57]. These highly variable onset ages indicate that there are other modifying factors that modulate onset age in GRN mutation carriers. GRN mutations are most frequently associated with bvFTD followed by PPA [21].

In our four patients with a diagnosis of bvFTD, apathy was one of the initial predominant symptoms. This observation is in line with previous findings that apathy dominates the clinical picture in patients with bvFTD caused by a GRN mutation [65, 66]. It is in contrast with bvFTD caused by C9orf72 repeat expansion, in which inappropriate behavior and agitation dominate the clinical presentation [25]. Also, the fact that four of the nine family members had PPA is highly suggestive for a GRN mutation [21]. The PPA phenotype in GRN mutation carriers is most often distinct from that subsumed under the classical PPA subtypes [67].

Other phenotypes have been associated with GRN mutations and include AD [68], PD [65], corticobasal syndrome [69,70,71], dementia with Lewy bodies [72], and mild cognitive impairment [73]. Also, several psychiatric syndromes have been associated with GRN mutations [74, 75]. MND is very rarely described in association with GRN mutations [24, 76]. None of our nine patients had a concomitant MND. There was one co-occurrence with PD. Parkinsonism occurs quite frequently in patients with GRN mutation, but usually later in the disease course, after development of FTD. In a few cases, parkinsonism was described as the first or predominant clinical manifestation of a GRN mutation. In a cohort of 32 French GRN mutation carriers, 13 (41%) developed parkinsonism during their disease course, but it was present at onset in only 1 patient [77]. Kelley et al. studied patients with FTLD-UPS and found that parkinsonism was an initial/early symptom in 3 of 18 patients with a GRN mutation [64]. Although parkinsonism occurs quite frequently in patients with FTLD with a GRN mutation, GRN genetic variability is unlikely to contribute significantly to susceptibility to PD [58].

Six of our patients had subjective or objective signs of memory loss early or later in the disease course. All of our patients had mild AD neuropathological features or PART, but without strong clinicopathological correlation.

Le Ber et al. [77] described that clinical AD features such as episodic memory disorders are frequent in GRN mutation carriers (89%). Of the 32 GRN mutation carriers evaluated by Le Ber et al., 3 were clinically diagnosed with AD because of predominant episodic memory disorder. In the study of Chen-Plotkin et al., 11 of 97 (11.3%) TDP-positive GRN mutation carriers received a clinical diagnosis of AD [24].

Neuropsychological evaluation showed extensive frontal executive dysfunction in six of seven patients. Neocortical temporal deficits (economy of speech, comprehension deficits, naming deficits) were present in all patients. Apraxia syndromes were seen in three patients, suggesting parietal involvement.

Imaging

Cerebral structural imaging demonstrated atrophy in all 9 patients, mostly asymmetric at the frontal and temporal lobes and often with a parietal cortical involvement. Similar findings were observed by functional neuroimaging, where hypoperfusion and hypometabolism were asymmetric (left versus right), most explicit in the frontal and temporal lobes. Again, parietal involvement often was present.

These findings confirm the previously published data in which parietal involvement [61, 78, 79] and marked asymmetry of atrophy/hypofunction were suggested as distinctive features of GRN mutations [46, 77, 79, 80], as well as a relatively fast evolution to generalized brain atrophy [47]. Seven patients had marked asymmetry, and in five of them, the most pronounced atrophy/hypofunction was present in the left hemisphere. There seems to be no preferential side of predominant atrophy/hypofunction in GRN mutation carriers. Previous studies have demonstrated predominant left-side involvement [55, 57] as well as predominant right-side involvement [77, 78, 81, 82].

Conclusions

This study is the first, to our knowledge, in which nine members of one family carrying a GRN mutation have undergone exhaustive neuropathological analysis. Our study made it possible to link this specific GRN mutation to TDP-43 proteinopathy subtype A.

The neocortical pathology in all our patients was very explicit, with impairment of frontal and temporal cortices to the greatest extent, followed by parietal and, to a lesser extent, occipital involvement. In all of our cases, mild hippocampal atrophy was present, but without hippocampal sclerosis. Next to the TDP-43 proteinopathy subtype A, we found the co-occurrence of other proteinopathies, such as PART in five cases, mild AD in four cases, and Lewy body disease in one case, and we demonstrated the coexistence of small vessel changes, most explicit in the frontal lobe of every patient. We do not think that the small vessel pathology is associated with the GRN mutation, but an age-dependent penetrance rate has been demonstrated in GRN carriers. Whether the clinical presentation is the result of the TDP pathology exceeding a critical limit of neuronal damage or of the co-occurrence of age-related AD pathology or PART or SVD should be further investigated. Because the age of onset in these patients lies between 55 and 70 years, an age range within which cerebrovascular risk factors have their impact, it should be further assessed whether this cerebrovascular pathology has an influence on the clinical presentation, onset, and disease course of the proteinopathy.

Abbreviations

AD:

Alzheimer’s disease

ALS:

Amyotrophic lateral sclerosis

AO:

Age of onset

APOE:

Apolipoprotein E

bvFTD:

Behavioral variant frontotemporal dementia

CAA:

Leptomeningeal cerebral amyloid angiopathy

CERAD:

Consortium to Establish a Registry for Alzheimer’s Disease

CHMP2B :

Chromatin-modifying protein 2B

DD:

Disease duration in years

DMF:

Dorsomedial formation

DN:

Dystrophic neurite

ER:

Entorhinal cortex

F:

Familial presentation

FET family:

FUS, EWSR1, and TAF15 family of proteins

FH:

Familial history

FTDP:

Frontotemporal lobar degeneration with parkinsonism

FTDP-17:

Frontotemporal dementia associated with parkinsonism linked to chromosome 17

FTLD:

Frontotemporal lobar degeneration

FUS:

Fused in sarcoma

GCI:

Glial cytoplasmic inclusion

GOTL:

Gyrus occipitotemporalis lateralis

GRN :

Progranulin gene

MAPT :

Microtubule-associated protein tau gene

MND:

Motor neuron disorder

NCI:

Neuronal intracytoplasmic inclusion

NFV:

Nonfluent variant

NII:

Neuronal intranuclear inclusion

nl:

Normal

PART:

Primary age-related tauopathy

PD:

Parkinson’s disease

PPA:

Primary progressive aphasia

py:

Pack-year

SP:

Status pigmentatus

SVD:

Cerebral small vessel disease

TDP-43:

Transactive response DNA-binding protein 43

TER:

Transentorhinal cortex

TIA:

Transient ischemic attack

UPS:

Ubiquitin proteasome system

VCP :

Valosin-containing protein gene

References

  1. Rascovsky K, et al. Sensitivity of revised diagnostic criteria for the behavioural variant of frontotemporal dementia. Brain. 2011;134(Pt 9):2456–77.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Neary D, et al. Frontotemporal lobar degeneration: a consensus on clinical diagnostic criteria. Neurology. 1998;51(6):1546–54.

    Article  CAS  PubMed  Google Scholar 

  3. Gorno-Tempini ML, et al. Classification of primary progressive aphasia and its variants. Neurology. 2011;76(11):1006–14.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Hutton M, et al. Association of missense and 5′-splice-site mutations in tau with the inherited dementia FTDP-17. Nature. 1998;393(6686):702–5.

    Article  CAS  PubMed  Google Scholar 

  5. Poorkaj P, et al. Tau is a candidate gene for chromosome 17 frontotemporal dementia. Ann Neurol. 1998;43(6):815–25.

    Article  CAS  PubMed  Google Scholar 

  6. Spillantini MG, et al. Mutation in the tau gene in familial multiple system tauopathy with presenile dementia. Proc Natl Acad Sci U S A. 1998;95(13):7737–41.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Baker M, et al. Mutations in progranulin cause tau-negative frontotemporal dementia linked to chromosome 17. Nature. 2006;442(7105):916–9.

    Article  CAS  PubMed  Google Scholar 

  8. Cruts M, et al. Null mutations in progranulin cause ubiquitin-positive frontotemporal dementia linked to chromosome 17q21. Nature. 2006;442(7105):920–4.

    Article  CAS  PubMed  Google Scholar 

  9. DeJesus-Hernandez M, et al. Expanded GGGGCC hexanucleotide repeat in noncoding region of C9ORF72 causes chromosome 9p-linked FTD and ALS. Neuron. 2011;72(2):245–56.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Gijselinck I, et al. A C9orf72 promoter repeat expansion in a Flanders-Belgian cohort with disorders of the frontotemporal lobar degeneration-amyotrophic lateral sclerosis spectrum: a gene identification study. Lancet Neurol. 2012;11(1):54–65.

    Article  CAS  PubMed  Google Scholar 

  11. Renton AE, et al. A hexanucleotide repeat expansion in C9ORF72 is the cause of chromosome 9p21-linked ALS-FTD. Neuron. 2011;72(2):257–68.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Cruts M, Kumar-Singh S, Van Broeckhoven C. Progranulin mutations in ubiquitin-positive frontotemporal dementia linked to chromosome 17q21. Curr Alzheimer Res. 2006;3(5):485–91.

    Article  CAS  PubMed  Google Scholar 

  13. Watts GD, et al. Inclusion body myopathy associated with Paget disease of bone and frontotemporal dementia is caused by mutant valosin-containing protein. Nat Genet. 2004;36(4):377–81.

    Article  CAS  PubMed  Google Scholar 

  14. Sreedharan J, et al. TDP-43 mutations in familial and sporadic amyotrophic lateral sclerosis. Science. 2008;319(5870):1668–72.

    Article  CAS  PubMed  Google Scholar 

  15. Gijselinck I, et al. Loss of TBK1 is a frequent cause of frontotemporal dementia in a Belgian cohort. Neurology. 2015;85(24):2116–25.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Mackenzie IR, et al. Novel types of frontotemporal lobar degeneration: beyond tau and TDP-43. J Mol Neurosci. 2011;45(3):402–8.

    Article  CAS  PubMed  Google Scholar 

  17. Skibinski G, et al. Mutations in the endosomal ESCRTIII-complex subunit CHMP2B in frontotemporal dementia. Nat Genet. 2005;37(8):806–8.

    Article  CAS  PubMed  Google Scholar 

  18. Neumann M, et al. A new subtype of frontotemporal lobar degeneration with FUS pathology. Brain. 2009;132(Pt 11):2922–31.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Neumann M, et al. FET proteins TAF15 and EWS are selective markers that distinguish FTLD with FUS pathology from amyotrophic lateral sclerosis with FUS mutations. Brain. 2011;134(Pt 9):2595–609.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Mackenzie IR, et al. A harmonized classification system for FTLD-TDP pathology. Acta Neuropathol. 2011;122(1):111–3.

    Article  PubMed  PubMed Central  Google Scholar 

  21. van Swieten JC, Heutink P. Mutations in progranulin (GRN) within the spectrum of clinical and pathological phenotypes of frontotemporal dementia. Lancet Neurol. 2008;7(10):965–74.

    Article  PubMed  Google Scholar 

  22. Gass J, et al. Mutations in progranulin are a major cause of ubiquitin-positive frontotemporal lobar degeneration. Hum Mol Genet. 2006;15(20):2988–3001.

    Article  CAS  PubMed  Google Scholar 

  23. Rohrer JD, Warren JD. Phenotypic signatures of genetic frontotemporal dementia. Curr Opin Neurol. 2011;24(6):542–9.

    Article  PubMed  Google Scholar 

  24. Chen-Plotkin AS, et al. Genetic and clinical features of progranulin-associated frontotemporal lobar degeneration. Arch Neurol. 2011;68(4):488–97.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Van Langenhove T, et al. Distinct clinical characteristics of C9orf72 expansion carriers compared with GRN, MAPT, and nonmutation carriers in a Flanders-Belgian FTLD cohort. JAMA Neurol. 2013;70(3):365–73.

    Article  PubMed  Google Scholar 

  26. Cruts M, Van Broeckhoven C. Loss of progranulin function in frontotemporal lobar degeneration. Trends Genet. 2008;24(4):186–94.

    Article  CAS  PubMed  Google Scholar 

  27. Cruts M, Theuns J, Van Broeckhoven C. Locus-specific mutation databases for neurodegenerative brain diseases. Hum Mutat. 2012;33(9):1340–4.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Gijselinck I, et al. Progranulin locus deletion in frontotemporal dementia. Hum Mutat. 2008;29(1):53–8.

    Article  CAS  PubMed  Google Scholar 

  29. Clot F, et al. Partial deletions of the GRN gene are a cause of frontotemporal lobar degeneration. Neurogenetics. 2014;15(2):95–100.

    CAS  PubMed  Google Scholar 

  30. van der Zee J, et al. Mutations other than null mutations producing a pathogenic loss of progranulin in frontotemporal dementia. Hum Mutat. 2007;28(4):416.

    PubMed  Google Scholar 

  31. Gijselinck I, Van Broeckhoven C, Cruts M. Granulin mutations associated with frontotemporal lobar degeneration and related disorders: an update. Hum Mutat. 2008;29(12):1373–86.

    Article  CAS  PubMed  Google Scholar 

  32. Sleegers K, et al. Progranulin genetic variability contributes to amyotrophic lateral sclerosis. Neurology. 2008;71(4):253–9.

    Article  CAS  PubMed  Google Scholar 

  33. Brouwers N, et al. Genetic variability in progranulin contributes to risk for clinically diagnosed Alzheimer disease. Neurology. 2008;71(9):656–64.

    Article  CAS  PubMed  Google Scholar 

  34. Sleegers K, et al. Serum biomarker for progranulin-associated frontotemporal lobar degeneration. Ann Neurol. 2009;65(5):603–9.

    Article  CAS  PubMed  Google Scholar 

  35. Ghidoni R, et al. Low plasma progranulin levels predict progranulin mutations in frontotemporal lobar degeneration. Neurology. 2008;71(16):1235–9.

    Article  CAS  PubMed  Google Scholar 

  36. Deramecourt V, et al. Staging and natural history of cerebrovascular pathology in dementia. Neurology. 2012;78(14):1043–50.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. De Reuck JL, et al. Cerebrovascular lesions in patients with frontotemporal lobar degeneration: a neuropathological study. Neurodegener Dis. 2012;9(4):170–5.

    Article  PubMed  Google Scholar 

  38. Thal DR, et al. Frontotemporal lobar degeneration FTLD-tau: preclinical lesions, vascular, and Alzheimer-related co-pathologies. J Neural Transm. 2015;122(7):1007–18.

    Article  CAS  PubMed  Google Scholar 

  39. Montine TJ, et al. National Institute on Aging-Alzheimer’s Association guidelines for the neuropathologic assessment of Alzheimer’s disease: a practical approach. Acta Neuropathol. 2012;123(1):1–11.

    Article  CAS  PubMed  Google Scholar 

  40. McKeith IG. Consensus guidelines for the clinical and pathologic diagnosis of dementia with Lewy bodies (DLB): report of the Consortium on DLB International Workshop. J Alzheimers Dis. 2006;9(3 Suppl):417–23.

    Article  PubMed  Google Scholar 

  41. Skrobot OA, et al. Vascular cognitive impairment neuropathology guidelines (VCING): the contribution of cerebrovascular pathology to cognitive impairment. Brain. 2016;139(11):2957–69.

    Article  PubMed  Google Scholar 

  42. Duyckaerts C, et al. PART is part of Alzheimer disease. Acta Neuropathol. 2015;129(5):749–56.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  43. Josephs KA, et al. Neuropathologic features of frontotemporal lobar degeneration with ubiquitin-positive inclusions with progranulin gene (PGRN) mutations. J Neuropathol Exp Neurol. 2007;66(2):142–51.

    Article  CAS  PubMed  Google Scholar 

  44. Bit-Ivan EN, et al. A novel GRN mutation (GRN c.708 + 6_ + 9delTGAG) in frontotemporal lobar degeneration with TDP-43-positive inclusions: clinicopathologic report of 6 cases. J Neuropathol Exp Neurol. 2014;73(5):467–73.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  45. van der Zee J, et al. Clinical heterogeneity in 3 unrelated families linked to VCP p.Arg159His. Neurology. 2009;73(8):626–32.

    Article  PubMed  Google Scholar 

  46. Rohrer JD, et al. Distinct profiles of brain atrophy in frontotemporal lobar degeneration caused by progranulin and tau mutations. Neuroimage. 2010;53(3):1070–6.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  47. Whitwell JL, et al. Trajectories of brain and hippocampal atrophy in FTD with mutations in MAPT or GRN. Neurology. 2011;77(4):393–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  48. Rademakers R, Neumann M, Mackenzie IR. Advances in understanding the molecular basis of frontotemporal dementia. Nat Rev Neurol. 2012;8(8):423–34.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  49. Raj A, Kuceyeski A, Weiner M. A network diffusion model of disease progression in dementia. Neuron. 2012;73(6):1204–15.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  50. Zhou J, et al. Predicting regional neurodegeneration from the healthy brain functional connectome. Neuron. 2012;73(6):1216–27.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  51. Caroppo P, et al. Extensive white matter involvement in patients with frontotemporal lobar degeneration: think progranulin. JAMA Neurol. 2014;71(12):1562–6.

    Article  PubMed  Google Scholar 

  52. Bozzali M, et al. Structural brain signature of FTLD driven by Granulin mutation. J Alzheimers Dis. 2013;33(2):483–94.

    CAS  PubMed  Google Scholar 

  53. McMillan CT, et al. White matter imaging helps dissociate tau from TDP-43 in frontotemporal lobar degeneration. J Neurol Neurosurg Psychiatry. 2013;84(9):949–55.

    Article  PubMed  PubMed Central  Google Scholar 

  54. Le Ber I, et al. Progranulin null mutations in both sporadic and familial frontotemporal dementia. Hum Mutat. 2007;28(9):846–55.

    Article  PubMed  Google Scholar 

  55. Spina S, et al. Clinicopathologic features of frontotemporal dementia with progranulin sequence variation. Neurology. 2007;68(11):820–7.

    Article  CAS  PubMed  Google Scholar 

  56. Rademakers R, et al. Phenotypic variability associated with progranulin haploinsufficiency in patients with the common 1477C → T (Arg493X) mutation: an international initiative. Lancet Neurol. 2007;6(10):857–68.

    Article  CAS  PubMed  Google Scholar 

  57. Snowden JS, et al. Progranulin gene mutations associated with frontotemporal dementia and progressive non-fluent aphasia. Brain. 2006;129(Pt 11):3091–102.

    Article  CAS  PubMed  Google Scholar 

  58. Nuytemans K, et al. Progranulin variability has no major role in Parkinson disease genetic etiology. Neurology. 2008;71(15):1147–51.

    Article  CAS  PubMed  Google Scholar 

  59. Petkau TL, Leavitt BR. Progranulin in neurodegenerative disease. Trends Neurosci. 2014;37(7):388–98.

    Article  CAS  PubMed  Google Scholar 

  60. Kleinberger G, et al. Mechanisms of granulin deficiency: lessons from cellular and animal models. Mol Neurobiol. 2013;47(1):337–60.

    Article  CAS  PubMed  Google Scholar 

  61. Whitwell JL, et al. Atrophy patterns in IVS10 + 16, IVS10 + 3, N279K, S305N, P301L, and V337M MAPT mutations. Neurology. 2009;73(13):1058–65.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  62. Van Mossevelde S, et al. Clinical features of TBK1 carriers compared with C9orf72, GRN and non-mutation carriers in a Belgian cohort. Brain. 2016;139(Pt 2):452–67.

    Article  PubMed  Google Scholar 

  63. Van Deerlin VM, et al. Clinical, genetic, and pathologic characteristics of patients with frontotemporal dementia and progranulin mutations. Arch Neurol. 2007;64(8):1148–53.

    Article  PubMed  Google Scholar 

  64. Kelley BJ, et al. Prominent phenotypic variability associated with mutations in Progranulin. Neurobiol Aging. 2009;30(5):739–51.

    Article  CAS  PubMed  Google Scholar 

  65. Pickering-Brown SM, et al. Frequency and clinical characteristics of progranulin mutation carriers in the Manchester frontotemporal lobar degeneration cohort: comparison with patients with MAPT and no known mutations. Brain. 2008;131(Pt 3):721–31.

    Article  PubMed  Google Scholar 

  66. Beck J, et al. A distinct clinical, neuropsychological and radiological phenotype is associated with progranulin gene mutations in a large UK series. Brain. 2008;131(Pt 3):706–20.

    Article  PubMed  PubMed Central  Google Scholar 

  67. Rohrer JD, et al. Progranulin-associated primary progressive aphasia: a distinct phenotype? Neuropsychologia. 2010;48(1):288–97.

    Article  PubMed  PubMed Central  Google Scholar 

  68. Carecchio M, et al. Progranulin plasma levels as potential biomarker for the identification of GRN deletion carriers: a case with atypical onset as clinical amnestic mild cognitive impairment converted to Alzheimer’s disease. J Neurol Sci. 2009;287(1-2):291–3.

    Article  CAS  PubMed  Google Scholar 

  69. Carecchio M, et al. Cerebrospinal fluid biomarkers in Progranulin mutations carriers. J Alzheimers Dis. 2011;27(4):781–90.

    CAS  PubMed  Google Scholar 

  70. Pires C, et al. Phenotypic variability of familial and sporadic Progranulin p.Gln257Profs*27 mutation. J Alzheimers Dis. 2013;37(2):335–42.

    CAS  PubMed  Google Scholar 

  71. Rohrer JD, et al. Corticobasal syndrome associated with a novel 1048_1049insG progranulin mutation. J Neurol Neurosurg Psychiatry. 2009;80(11):1297–8.

    Article  CAS  PubMed  Google Scholar 

  72. Arosio B, et al. GRN Thr272fs clinical heterogeneity: a case with atypical late onset presenting with a dementia with Lewy bodies phenotype. J Alzheimers Dis. 2013;35(4):669–74.

    PubMed  Google Scholar 

  73. Pietroboni AM, et al. Phenotypic heterogeneity of the GRN Asp22fs mutation in a large Italian kindred. J Alzheimers Dis. 2011;24(2):253–9.

    PubMed  Google Scholar 

  74. Cerami C, et al. From genotype to phenotype: two cases of genetic frontotemporal lobar degeneration with premorbid bipolar disorder. J Alzheimers Dis. 2011;27(4):791–7.

    CAS  PubMed  Google Scholar 

  75. Rainero I, et al. Heterosexual pedophilia in a frontotemporal dementia patient with a mutation in the progranulin gene. Biol Psychiatry. 2011;70(9):e43–4.

    Article  PubMed  Google Scholar 

  76. Schymick JC, et al. Progranulin mutations and amyotrophic lateral sclerosis or amyotrophic lateral sclerosis-frontotemporal dementia phenotypes. J Neurol Neurosurg Psychiatry. 2007;78(7):754–6.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  77. Le Ber I, et al. Phenotype variability in progranulin mutation carriers: a clinical, neuropsychological, imaging and genetic study. Brain. 2008;131(Pt 3):732–46.

    Article  PubMed  Google Scholar 

  78. Whitwell JL, et al. Voxel-based morphometry in frontotemporal lobar degeneration with ubiquitin-positive inclusions with and without progranulin mutations. Arch Neurol. 2007;64(3):371–6.

    Article  PubMed  PubMed Central  Google Scholar 

  79. Whitwell JL, et al. Neuroimaging signatures of frontotemporal dementia genetics: C9ORF72, tau, progranulin and sporadics. Brain. 2012;135(Pt 3):794–806.

    Article  PubMed  PubMed Central  Google Scholar 

  80. Whitwell JL, Josephs KA. Neuroimaging in frontotemporal lobar degeneration – predicting molecular pathology. Nat Rev Neurol. 2012;8(3):131–42.

    Article  CAS  PubMed  Google Scholar 

  81. Huey ED, et al. Characteristics of frontotemporal dementia patients with a Progranulin mutation. Ann Neurol. 2006;60(3):374–80.

    Article  PubMed  PubMed Central  Google Scholar 

  82. Boeve BF, et al. Frontotemporal dementia and parkinsonism associated with the IVS1 + 1G → A mutation in progranulin: a clinicopathologic study. Brain. 2006;129(Pt 11):3103–14.

    Article  PubMed  Google Scholar 

  83. Kovacs GG, et al. Aging-related tau astrogliopathy (ARTAG): harmonized evaluation strategy. Acta Neuropathol. 2016;131(1):87–102.

    Article  CAS  PubMed  Google Scholar 

  84. Thal DR, et al. Phases of Aβ-deposition in the human brain and its relevance for the development of AD. Neurology. 2002;58(12):1791–800.

    Article  PubMed  Google Scholar 

  85. Braak H, Braak E. Neuropathological stageing of Alzheimer-related changes. Acta Neuropathol. 1991;82(4):239–59.

    Article  CAS  PubMed  Google Scholar 

  86. Mirra SS, et al. The Consortium to Establish a Registry for Alzheimer’s Disease (CERAD): Part II. Standardization of the neuropathologic assessment of Alzheimer’s disease. Neurology. 1991;41(4):479–86.

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

We are grateful to the patients and their families. We acknowledge the contribution of laboratory technicians Tinne Koninckx and Karen Sterck and photographer Inge Bats. We further thank the personnel of the Genetic Service Facility of VIB (http://www.vibgeneticservicefacility.be), the Antwerp Biobank of the Institute Born-Bunge, and the neurological departments of the participating hospitals.

Funding

None of the funding agencies listed below had a role in the writing of the manuscript or the decision to submit it for publication. All funding sources are listed and are public or private research organizations. The research was funded in part by the Born-Bunge Institute, the Belgian Science Policy Office Interuniversity Attraction Poles Program, the Flemish government-initiated Impulse Program for Networks of Dementia Research, the Flemish government-initiated Methusalem excellence program, the University of Antwerp Research Fund, the Research Foundation - Flanders (FWO), the Agency for Innovation by Science and Technology Flanders (IWT), the Alzheimer Research Foundation (SAO-FRMA), and the Queen Elisabeth Medical Foundation (QEMF). The FWO provided a clinical investigator mandate to AS, and the IWT provided doctoral fellowships to TVL and EW.

Availability of data and materials

All datasets supporting the conclusions of this article are included in the additional files.

Author information

Authors and Affiliations

Authors

Contributions

AS was responsible for data collection, neuropathological data analysis, manuscript writing, and review of the literature. SVM was responsible for data collection; clinical, neuropsychological, and imaging data analysis; manuscript writing; and review of the literature. EW was responsible for data collection, genetic data analysis, and manuscript writing. SE was responsible for data collection and manuscript writing. JvdZ was responsible for data collection, genetic data analysis, and manuscript writing. TVL was responsible for data collection; clinical, neuropsychological, and imaging data analysis; review of the literature, and manuscript writing. PS was responsible for data collection and manuscript writing. MP was responsible for neuropathological data analysis, manuscript writing, and critical review of the manuscript draft. PB was responsible for data collection and manuscript writing. MM was responsible for neuropsychological data analysis and manuscript writing. SVH was responsible for graphical data analysis and manuscript writing. MV was responsible for data collection and manuscript writing. RV was responsible for data collection and manuscript writing. PC was responsible for data collection and manuscript writing. MC was responsible for data collection, genetic data analysis, and manuscript writing. PPDD was responsible for data collection, biobank coordination, and manuscript writing. CVB was responsible for genetic data analysis, review of the literature, and manuscript writing. JJM was responsible for neuropathological data analysis, manuscript writing, and critical review of the manuscript draft. All authors read and approved the final manuscript.

Corresponding authors

Correspondence to Christine Van Broeckhoven or Jean-Jacques Martin.

Ethics declarations

The local medical ethics committee of the University of Antwerp approved the research protocols for clinical, genetic, and neuropathological studies. The patients and/or their legal representatives consented to participation in this research.

Consent for publication

The patients and/or their legal representatives gave their consent for publication.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Additional files

Additional file 1:

Materials and methods. (DOCX 26 kb)

Additional file 2:

Results: neuropathology. (DOCX 22 kb)

Additional file 3:

Results: clinical and neuropsychological assessment. (DOCX 24 kb)

Additional file 4:

Results: imaging data. (DOCX 16 kb)

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sieben, A., Van Mossevelde, S., Wauters, E. et al. Extended FTLD pedigree segregating a Belgian GRN-null mutation: neuropathological heterogeneity in one family. Alz Res Therapy 10, 7 (2018). https://doi.org/10.1186/s13195-017-0334-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s13195-017-0334-y

Keywords