You are currently viewing a new version of our website. To view the old version click .
Biomedicines
  • Review
  • Open Access

15 September 2022

Calabria as a Genetic Isolate: A Model for the Study of Neurodegenerative Diseases

,
,
,
and
1
Regional Neurogenetic Centre (CRN), Department of Primary Care, ASP Catanzaro, 88046 Lamezia Terme, Italy
2
Association for Neurogenetic Research (ARN), 88046 Lamezia Terme, Italy
*
Authors to whom correspondence should be addressed.
This article belongs to the Special Issue State of the Art: Neurodegenerative Diseases in Italy

Abstract

Although originally multi-ethnic in its structure, nowadays the Calabria region of southern Italy represents an area with low genetic heterogeneity and a high level of consanguinity that allows rare mutations to be maintained due to the founder effect. A complex research methodology—ranging from clinical activity to the genealogical reconstruction of families/populations across the centuries, the creation of databases, and molecular/genetic research—was modelled on the characteristics of the Calabrian population for more than three decades. This methodology allowed the identification of several novel genetic mutations or variants associated with neurodegenerative diseases. In addition, a higher prevalence of several hereditary neurodegenerative diseases has been reported in this population, such as Alzheimer’s disease, frontotemporal dementia, Parkinson’s disease, Niemann–Pick type C disease, spinocerebellar ataxia, Creutzfeldt–Jakob disease, and Gerstmann–Straussler–Scheinker disease. Here, we summarize and discuss the results of research data supporting the view that Calabria could be considered as a genetic isolate and could represent a model, a sort of outdoor laboratory—similar to very few places in the world—useful for the advancement of knowledge on neurodegenerative diseases.

1. Introduction

Calabria is a region of southern Italy of 1,839,352 inhabitants [1], which constitutes the tip of the “boot” of Italy. The Strait of Messina separates it from Sicily, and it is suspended between two seas, the Ionian Sea and the Tyrrhenian Sea [2]. This strategic geographical position has favored various migratory flows both in pre-historical and historical times (e.g., Greek, Phoenician, and Carthaginian colonization; Roman, Arab, and Norman conquest) that have determined the presence of different genetic layers in the current population [3,4].
Although originally multi-ethnic in its structure, the Calabrian population has remained relatively stable over the last three centuries, allowing its genetic “imprint” to remain constant over time. This phenomenon was determined by high flows of emigration and low immigration that, together with the geographical characteristics of the region (mountainous with scarce and difficult communication routes), favored the maintenance of closed populations with a high rate of inbreeding, which are the characteristics of genetic isolates. Thus, nowadays Calabria represents an area with low genetic heterogeneity and a high level of consanguinity that allows rare mutations—which originally represent an organism’s response to a better environmental adaptation but become causative of very serious diseases in adults—to be maintained due to the founder effect [5,6]. A typical example is given by the presenilin 1 mutation which has protected over the centuries against very high perinatal mortality (the carriers of the mutation survived) but then develops hereditary Alzheimer’s disease at about the age of 40 years old [5]. In addition, in Calabria there has been reported a higher prevalence of rare autosomal recessive diseases with neurological features—such as fucosidosis [7], hereditary motor and sensory neuropathy [8], benign familial infantile seizures, familial paroxysmal kinesigenic dystonia, and familial infantile convulsions with paroxysmal choreoathetosis [9]—as a genetic consequence of high consanguinity.
Beyond these autosomal recessive diseases and Alzheimer’s disease, other rare and hereditary neurodegenerative diseases have been documented with a high frequency such as frontotemporal dementia, Parkinson’s disease, Niemann–Pick type C disease, spinocerebellar ataxia [10,11,12,13,14], Creutzfeldt–Jakob disease, and Gerstmann–Straussler–Scheinker disease (personal data).
Here, we summarize and discuss the results of research data supporting the view that Calabria could be considered as a genetic isolate and could represent a model, a sort of outdoor laboratory—similar to very few places in the world—useful for the advancement of knowledge on neurodegenerative diseases.

2. Neurodegenerative Diseases, Issues, and Study Methodologies

Neurodegenerative diseases are chronic, incurable, and debilitating conditions originating from the progressive degeneration and/or death of neurons. Depending on the brain areas involved and on its connections, the neurodegenerative process can present with movement disorders and/or cognitive–behavioral diseases such as dementias [15].
Dementia is a clinical syndrome characterized by a progressive decline in cognitive functions associated with the loss of functional autonomy and behavioral–psychiatric symptoms, the etiology of which may depend on different diseases, both neurological and systemic [16]. Dementia affects about 50 million people worldwide and is related to dependence, poor quality of life, early institutionalization, and mortality [17]. Dementia has important social and economic implications both for direct medical and social care costs as well as for informal care. A global cost of dementia of 1.3 trillion USD was estimated in 2019, and this amount is expected to increase even more as both people with dementia and care costs are expected to increase in the coming years [18].
The etiology of most neurodegenerative dementias has been considered multifactorial, including both genetic and environmental factors. However, in many patients, the disease can be inherited as a Mendelian trait (i.e., monogenic form) [19]. Generally, neurodegenerative diseases involve some common pathogenic mechanisms, such as the accumulation, aggregation, or altered folding of proteins and/or mitochondrial dysfunctions that cause damage to the nervous system [20]. These pathological features lead to the manifestation of several symptoms that often overlap between different neurodegenerative diseases. Sharing clinical characteristics makes diagnosis particularly difficult [19]. Diagnosis is also made problematic by individual variability: patients with the same mutation in the same gene frequently manifest a range of different clinical symptoms [21], including variability in the age of onset [22]. Therefore, the use of a rigorous research methodology focusing on hereditary neurodegenerative diseases caused by a unique specific mutation can overcome the clinical heterogeneity, further permitting the building of large kindreds that are a useful model for neurodegeneration studies.
A complex research methodology—ranging from clinical activity to the genealogical reconstruction of families/populations across the centuries, the building of databases, and molecular/genetic research—was modelled on the characteristics of the Calabrian population. Specifically, the study starts from the clinical and diagnostic assessment of living patients that permits the families’ characterization. The genealogical reconstruction of the families/populations, in which the disease is transmitted, allows the identification of new affected surnames and consequently new patients with the same disease. Genealogical study requires the acquisition and analyses of birth, death, and marriage certificates in the municipalities (available from 1809) and of baptism, burial, marriage, and Status Animarum in the parishes (available from 1600). Data are further computerized in the e-database structure. The current database of the Regional Neurogenetic Centre (CRN) contains over 190,000 records of subjects linked by transitive relations, filiation, and marriage from different areas of Calabria [23,24].

3. Calabria as a Genetic Isolate for Neurodegenerative Diseases

Over a period of more than 25 years, using the methodology briefly summarized above, we identified many causative mutations of several neurodegenerative diseases that often manifest with atypical phenotypes (Table 1). These mutations, moreover, have shown a different distribution along Calabria, as reconstructed by the geographical localization of the patients followed at CRN (Figure 1).
Table 1. Novel mutations or variants associated with neurodegenerative diseases in Calabrian population.
Figure 1. Geographical distribution of mutations in Calabria: (a) mutations associated with Alzheimer’s disease; (b) APOEε4 carriers affected by Alzheimer’s disease; (c) mutations associated with frontotemporal dementia and amyotrophic lateral sclerosis; (d) mutation associated with other neurodegenerative diseases (unpublished data).
In the following, we provide a description of the main research data collected on this topic.

3.1. Alzheimer’s Disease

Alzheimer’s disease (AD) is the most widespread type of dementia, clinically characterized by both cognitive and non-cognitive symptoms [40]. The main neuropathological features of AD are extracellular deposits of amyloid beta (Aβ) peptide and other molecules (amyloid plaques) and intracellular deposits of the hyperphosphorylated form of the protein tau (neurofibrillary tangles) [41]. AD can be classified as sporadic (SAD) and familial (FAD) based on the presence or absence of a clear hereditary genetic component [29,41]. In the familial forms, there has been documented mutations in three main genes: Presenilin 1 (PSEN1), Presenilin 2 (PSEN2), and Amyloid Beta Precursor Protein (APP), with an autosomal dominant inheritance (autosomal dominant AD, ADAD) [42].
Over the years, 1125 AD patients have been genetically tested at CRN. Among these, 93% (n = 975) did not show pathogenic variants and 7% (n = 150) were carriers of pathogenic variants (67% PSEN1, 27% APP, and 6% PSEN2) (personal data).
A clinical and genealogical study started in the 1980s allowed the reconstruction of one of the few very large families in the world, known as N family [43], which in 1995 was instrumental, together with another Italian family of Turin (TO family, [44]), in the identification and cloning of the PSEN1 gene, since both families carried the same Met146Leu mutation [45], thus demonstrated the same common origin.
Ancient clinical data for the N and TO families were found among medical records of the Psychiatric Hospital of Girifalco (Catanzaro) which operated from 1881 to 1978. It is worth mentioning the clinical record of Angela R., an ancestor of the N family—datable to 1904, before Alois Alzheimer’s description of the first case of this disease—which showed a clinical picture consistent with a diagnosis of non-amnestic probable AD, matching the ‘‘dysexecutive’’ phenotype described in her descendants. The a posteriori diagnosis of AD was supported by the evidence of the causative genetic mutation PSEN1 Met146Leu as well as neuropathological AD features in her genealogically proven descendants [46].
Our studies demonstrated that the PSEN1 Met146Leu mutation was a private and founder mutation in the Calabrian population shared among hundreds of affected subjects dispersed across several centuries and on several continents due to Calabrian emigration flow. The N-TO families are still considered a unique ADAD population reconstructed from the present time back to the 17th century over 11 generations and consisting of over 160 affected subjects who share a common ancestor calculated around the year 1000 [5]. The genealogical database reconstructed around the Calabrian kindreds contains subjects linked through the transitive filiation–marriage relationships and approximately 50,000 persons from 1600 to the present day [23]. Although these patients shared the same PSEN1 Met146Leu mutation, four different clinical pictures were identified: two classics for AD (memory deficits and spatial and temporal disorientation) and two characterized by symptoms pointing to frontal lobe involvement (apathetic and dysexecutive subgroups) [5].
This variability could be due to the localization of the early AD lesions in different cortical areas or to different unknown genetic modifiers [5] and underlines the broad phenotypic spectrum of Calabrian founder mutations.
In addition, the research on the N Family led to the identification of Nicastrin, a transmembrane glycoprotein that is part of the gamma secretase protein complex, which is one of the proteases involved in processing amyloid precursor protein (APP) to form the Aβ peptide [47]. The protein was so called to acknowledge the importance of the N Family, originating from the Calabrian village named Nicastro (today part of Lamezia Terme) [48].
Moreover, the characterization of other Calabrian families and subjects also allowed us to identify other novel mutations or variants associated with AD, such as PSEN1 I143V [25], M84V [26], E318G [27], PSEN2 Val139Met [27], and Ser130Leu [28].
Another important result, which reinforces the view of Calabria as a genetic isolate for neurodegenerative diseases, is related to the APPA713T mutation. APPA713T was initially described by Armstrong et al. [39] as a rare polymorphism with dominant inheritance associated with AD. However, from a first study that we carried out in 2004, there emerged an association of this mutation with early-onset dementia with multiple strokes in several members of a family from a village in central Calabria (PEC family). The neuropathological study of the proband revealed the presence of AD with severe cerebral amyloid angiopathy (CAA) and multiple infarcts [12]. Considering that other studies also revealed that some APP mutations (i.e., p.Ala692Gly, p.Glu693Lys, and p.Asp694Asn) can be associated with CAA [49], we decided to investigate the presence of APPA713T mutation in 59 Calabrian patients affected by early-onset AD with cerebrovascular lesions (CVLs), a family history of dementia, and neuroradiological evidence of white matter lesions (WMLs) or hypodensities. The results of this study showed the presence of the APPA713T mutation in heterozygosis in three late-onset unrelated patients living in different areas of the Calabria region (i.e., prevalence of 5%) [30]. The same mutation in homozygous affected subjects was also identified in another unrelated Calabrian family from a village in central Calabria affected by autosomal dominant AD with CVLs due to CAA [31]. Interestingly, both heterozygous and homozygous cases showed a similar clinical picture characterized by memory loss, absence of insight, and behavioral and personality changes [30,31]. More recently, we have reported the same mutation in a Belgian AD patient of presumed Italian descent and in another AD patient identified in northern Italy with Calabrian origin. Thus, we used a population genomics approach to estimate the inheritance from a common ancestor of the APPA713T mutation in the Belgian and northern Italian patients and in six patients that were representative of all the apparently unrelated APPA713T Calabrian families. The results showed that all carriers fell into the genetic variability of southern Italy. In addition, five out of seven patients shared a 1.7 Mbp-long DNA segment centered on the APP713T mutation, making it possible to estimate the time of the most recent common ancestor for its common origin in the Calabrian region dating back over 1000 years [29].
Despite this evidence, in the Alzforum database the APPA713T mutation is considered of uncertain significance [50]. However, the bioinformatical analysis on varsome [51] showed that it can be classified as “likely pathogenetic” according to the American College of Medical Genetics (ACMG) criteria [51]: (PM1) is located in a mutational hot spot and/or critical and well-established functional domain; (PP3) multiple lines of computational evidence support a deleterious effect on the gene or gene product; (PP5) a reputable source has recently reported this variant as pathogenic, but the evidence is not available to the laboratory to perform an independent evaluation. Further studies are thus needed to fill the knowledge gap in APPA713T mutation and pathogenicity, at least in the Calabrian population.

3.2. Frontotemporal Dementia

Frontotemporal dementia (FTD) is the most prevalent neurodegenerative disorder with a presenile onset [52]. Based on clinical presentation, it can be classified into: (i) behavioral variant FTD (bvFTD); (ii) non-fluent primary progressive aphasia (PPA); and (iii) semantic variant primary progressive aphasia (svPPA) [53]. Recent estimates indicate that most cases of FTD are sporadic (55–75%), whereas the remaining 25–55% of cases are familial, in which mutations in three main genes have been documented: chromosome 9 open reading frame 72 (C9ORF72), microtubule associated protein tau (MAPT), and progranulin (GRN) [54]. These mutations give rise to a high heterogeneity of clinical and neuropathological manifestations with varying degrees of frontal and temporal lobe neuronal loss, atrophy, gliosis, and protein accumulation [55]. Specifically, MAPT mutations mainly determine the deposition of the microtubule-associated protein tau, whereas C9ORF72 mutations determine the transactive response (TAR) DNA-binding protein of 43 kDa (TDP43). GRN mutations give rise to a predominance of diffuse granular neuronal cytoplasmic inclusions (NCIs) [56]. Many other mutated genes have also been associated with frontal dementia (e.g., VCP, CHMP2B, TARDBP, FUS, SQSTM1, CHCHD10, TBK1, OPTN, CCNF, TIA1), enlarging the genetic and phenotypic spectrum of this disease [57]. Over the years, 455 FTD patients have been genetically tested at CRN. Between these, 87% (n = 333) did not show pathogenic variants and 13% (n = 122) were carriers of pathogenic variants (39% GRN, 38% C9ORF72, 18% MAPT, and 5% VCP) (personal data).
In 2002, applying the same methodology previously adopted for AD, we reconstructed a large pedigree—known as B family—for 15 generations back to the 16th century in the village of Bivongi (Reggio Calabria, Italy). The corresponding database encompasses about 8000 persons from both the affected lineages and the unaffected (spousal) lineages. Thirty-four persons (19 females) over four consecutive generations have been identified as affected by FTD. All FTD patients have been linked to the same ancestors who lived in the early 18th century. Interestingly, although an autosomal dominant transmission was evident, none of the affected individuals had mutations of the MAPT gene—the only gene identified at that time as being associated with FTD [58]. In a subsequent door-to-door FTD study, we targeted all subjects in the B village who were ≥50 years of age (n = 702) [10] and investigated the GRN gene, which was discovered to be associated with FTD in other countries [59]. In all, 509 individuals (72%, mean age 71.6 ± 11.1; 55.4% females) agreed to participate, 6% were deceased, 10% lived outside the country, and 12% refused to take part. Between the participants, 23 belonged to B family. Of the group of 92 individuals (18.1%) evaluated in phase II (1 year later), 30 subjects were diagnosed with dementia (age 77.6 ± 5.6; 12 males/17 females) with a prevalence (number of cases per 100 individuals) of 5.9% among those ≥50 years of age and of 8.1% for those ≥65 years of age. Surprisingly, we found a very high and unusual prevalence rate (number of cases per 100 individuals older than age 49) of FTD (3.5%), followed by unspecified dementia (1.2%), AD (0.6)%, vascular dementia (VD) (0.4%), and Parkinson dementia (0.2%). In addition, we identified three different and novel mutations associated with FTD: one truncating GRN mutation (c.1145insA) and A266P and C126W. All mutations were associated with a very variable age of onset (between 35 and 87 years) and also to three distinct phenotypes (behavioral, affective, and delirious type) (Table 1), underlining the high prevalence and clinical variability that characterize the neurodegenerative diseases in the Calabrian population [10].
The characterization of other Calabrian families and subjects also allowed us to identify other novel mutations or variants associated with FTD, MAPT Val75Ala [34], V363I [35], IVS10 + 4A > C and IVS9 − 15T > C [36], and GRN Cys139Arg [32] and Cys139Arg [33], and in genes not generally associated with FTD such as PRNP P39L [37], PSEN2 Arg62His [34], and PSEN1 Val412Ile [36] (Table 1).
More interestingly, we have recently identified a novel mutation (D395A) in the VCP gene associated with early-onset FTD in a Calabrian family of the central area, not detected in 150 healthy subjects [38]. Previous data reported that mutations in this gene cause a rare multisystem proteinopathy known as inclusion body myopathy (IBM) associated with Paget’s disease of bone (PDB) and early-onset FTD (IBMPFD) [60]. VCP mutations have also been reported in patients with amyotrophic lateral sclerosis (ALS) [61], Charcot–Marie–Tooth type 2 (CMT2) disease [62], and hereditary spastic paraplegia (HSP) [63]. In addition, Saracino et al. [64] documented a VCP-mutated patient with FTD that did not develop clinical symptoms of PDB or IBM. In our case, the FTD was developed in three siblings without PDB and IBM signs, underlining the autosomal dominant transmission of this new mutation and, once again, the lack of a “classic” genotype–phenotype correlation of a mutation in members of the Calabrian population (Table 1). To our knowledge, our study offered the first description of the VCP-related FTD phenotype in patients belonging to the same family, suggesting that a VCP analysis should be considered for the genetic screening of familial FTD with an early-onset and in the absence of clinical signs of IBM or PDB, at least in the Calabrian population [38].

3.3. Parkinson’s Disease

Parkinson’s disease (PD) is the second most common neurodegenerative disease, with a prevalence of 1–2% in the population over 60 years of age [65], characterized by the presence of Lewy bodies and the loss of dopaminergic neurons in the pars compacta of the substantia nigra [66]. The main clinical features include both motor (e.g., bradykinesia, rigidity, postural instability, and resting tremor) and non-motor symptoms (e.g., hallucinations, anxiety, depression, cognitive dysfunction, sleep impairment, fatigue, and urinary disturbance) [67,68]. Although the etiology of PD is multifactorial, many causative genes have been identified, such as α-synuclein, PARK2, PARK7, PINK1, and LRRK2 [69]. Between 2006 and 2011, we performed a screening to verify the presence of LRRK2 mutations in 88 Calabrian patients affected by PD (63 sporadic and 25 with a family history of PD or other neurodegenerative diseases). Moreover, 200 motor and cognitively healthy control subjects (mean age 58.6 ± 12.3) were screened for each of the putative pathogenic sequence variants observed in PD cases [11]. In our cohort of patients, we reported a prevalence of 10.2% of LRRK2 mutations, which appears to be higher compared to previous epidemiological studies on another population [70] and was not detected in the control subjects. In the same way, the frequency of the most common worldwide mutation, p.Gly2019Ser, was 3.2% higher in our sporadic cohort with respect to previously reported data [71], and it could be explained by the different ethnicity and the relative genetic isolation of the Calabrian population. In addition, this study allowed us to identify three novel missense variations of the LRRK2 gene (p.Phe1227Leu, p.Gly1520Ala, and p.Ile2020Ser) associated with PD in Calabrian patients, underlying, once again, the peculiar genetic characteristics of this population and providing additional genetic insight into PD [11] (Table 1).
In recent decades, another research group has tried to characterize the genetics of PD in the Calabrian population, showing its peculiarities. For example, in Calabrian patients with PD, there has been reported a lower frequency of mutations in several genes, such as CHCHD2 [72], TARDBP [73], LRP10 [74], and DNAJC13 [75], which instead are common in another cohort of PD patients [76,77,78,79]. Conversely, Calabrian PD patients’ data showed a higher prevalence of mutation of the GBA gene [80]. This evidence further strengthens the view of Calabria as a genetic isolate for neurodegenerative diseases and suggests continuing the search for novel mutations for PD in this population.

3.4. Niemann–Pick Type C Disease

Niemann–Pick type C disease (NPC) is a rare autosomal recessive inherited lipid storage disease caused by a defect in the intracellular trafficking of cholesterol [81]. The genes responsible for NPC are the NPC1 gene, located on chromosome 18 and mutated in 95% of patients, and the NPC2 gene located on chromosome 14 [82]. These genes encode for the NPC1 and NPC2 proteins that cooperatively mediate the egress of cholesterol from endosomes/lysosomes [83]. Due to the high heterogeneity of the clinical presentation, the disease is classified into five different forms based on the age of onset: perinatal (<2 months), early infantile (<2 years), infantile (<5 years), juvenile (<15 years), and adults (15–70 years) [84]. In adults, NPC often presents with a slowly worsening evolution typical of chronic neurodegenerative diseases.
Until a few years ago, the heterozygous status for NPC1 or NPC2 mutations was considered non-pathogenic, and heterozygous carriers were not supposed to develop any neurological symptoms during their lives. However, in 2013 a prevalence study [85] revealed a frequency of 3.6% for heterozygous mutations in NPC genes in a population of adults affected by dementia, parkinsonism, or psychosis. These data prompted us to speculate that, depending on the type of mutation, the heterozygous condition may induce an alteration in lipid metabolism and therefore a “benign” phenotype of NPC, with onset in adulthood and old age and a slowly progressive course, when the structure of the protein is altered. When the mutations do not alter the protein structure, a heterozygous status could be a risk factor for neurodegenerative diseases. To verify this hypothesis, we conducted a screening study for NPC1 and NPC2 mutations in 50 Calabrian patients affected by dementia with atypical clinical presentations or dementia plus, in which progressive and invalidating cognitive impairment was the main clinical feature associated with other neuropsychiatric and systemic symptoms [14]. Sequencing analysis revealed four different and known heterozygous mutations in NPC1 (p. F284LfsX26 and c.1947 + 8G > C) and NPC2 (p.V30M and c.441 + 1G > A) genes. The p.F284LfsX26 mutations were associated with a picture of progressive supranuclear palsy-like syndrome and the other three with a corticobasal syndrome (Table 1). The results of our study demonstrated that heterozygous mutations of NPC1 and NPC2 genes could contribute to dementia plus, at least in a subset of Calabrian patients.
Thus, heterozygosity can be a risk factor for dementia, and this is also confirmed by the high risk of neurodegenerative diseases, especially AD, in the parents of NCP patients [86] and by the links between lipid metabolism and Aβ [87]. Therefore, even the study of very rare forms can help to identify pathogenetic pathways of neurodegeneration that have not yet been fully elucidated.

3.5. Spinocerebellar Ataxia Type 17

Autosomal dominant cerebellar ataxia encompasses a group of neurodegenerative diseases clinically characterized by ataxia, ophthalmoplegia, pyramidal and extrapyramidal signs, and peripheral neuropathy. Dementia occurs only in some forms of spinocerebellar ataxia (SCA), such as SCA1, SCA2, SCA3, and SCA12, developing in the latest stages of the disease, while in SCA17 dementia is a constant feature of the phenotype [88]. A CAG repeat expansion in the TATA-box-binding protein (TBP) gene on chromosome 6 has been identified as the cause of SCA17 in some familial and sporadic cases, resulting in cerebellar ataxia and followed by dementia, parkinsonism, and dystonia, with onset in childhood and adulthood [89,90].
Starting from the end of the 1990s, our clinical and research attention was attracted by a large autosomal dominant Calabrian family with a complex neurologic syndrome that comprised early-onset dementia, psychotic features, extrapyramidal and cerebellar signs, and epilepsy [91]. The genealogic reconstruction of this family initially included 57 individuals (14 affected, 7 personally observed) across five generations. Since the clinical picture seemed to mimic different forms of neurodegenerative diseases in an atypical way, we decided to carry out on this family a large linkage analysis on 26 genes which were known to cause hereditary dementias (i.e., APP, PSEN1, PSEN2, FTDP-17, BRI, PI12, FND, HD-like, SCA1, SCA2, SCA3, SCA4, SCA5, SCA6, SCA7, SCA8, SCA10, SCA11, SCA12, SCA13, PARK1, PARK2, PARK3, HD, DRPLA, PRNP). Surprisingly, the molecular analyses had excluded the presence of mutations in these genes [91]. In subsequent years, we continued to reconstruct the genealogy of this family, including a total of 230 members across five generations, among whom 16 individuals were affected (4 men, 12 women; 11 personally observed). The observation of further cases allowed us to better characterize the clinical picture, namely by early and prominent behavioral disorders that, together with the strong reduction in verbal fluency, was followed by a definite picture of frontal lobe dementia. However, cerebellar signs were also noticed later but were eventually masked by extrapyramidal signs such as dystonia and rigidity. Myoclonus and epilepsy were characteristic of the late stages of the disease. The main neuropathological characteristics of the autopsied case were a low brain weight; atrophy of the frontotemporal cortex; nerve cell loss in the precentral gyrus, the primary visual cortex, the striatum, and the thalamic dorsomedial nucleus; pseudohypertrophic degeneration of the inferior olive; and severe loss of Purkinje cells. This evidence led us to hypothesize that it could be an atypical clinical picture of SCA17. The molecular analysis performed on the TBP gene confirmed our hypothesis. Specifically, we found a stable CAG repeat expansion in this gene, despite the reported differences in the age of onset among generations three, four, and five (from 17 to 53) [13] (Table 1). Thus, the characteristics of this Calabrian family broaden the clinical picture of SCA17: initial presenile dementia with behavioral symptoms should be added to ataxia, rigidity, and dystonic movements, which are more commonly encountered.

4. Discussion

Neurodegenerative diseases are highly variable and heterogeneous concerning their causes and phenotypes [92]. Being, moreover, age-related diseases, metabolic and vascular risk factors are frequently co-occurring, thus increasing confusion and complicating clinical and pathological aspects. The clinical and genetic research conducted on neurodegenerative diseases can simplify and reduce the variability by using a “simple model” that is constituted by the large families/kindreds and populations in which neurodegenerative mendelian diseases segregate. The genotype–phenotype correlation studies have largely improved the clinical knowledge of these diseases, and the relatively recent epigenetic and epigenomic research has addressed the undeniable importance of precision medicine [93].
Despite the enormous advancement of knowledge concerning the etiology and mechanisms of pathogenesis, much is still obscure, and to date there is no cure stopping or modifying the fatal course of neurodegenerative disorders. However, the enormous socioeconomic impact of these diseases due to the global aging of populations makes it more and more urgent to better clarify mechanisms, identify all links in the chains, and possibly find a cure (or many) [94].
Genetic isolates are characterized by geographical and cultural isolation and low genetic variability due to a lack of immigration and, consequently, high inbreeding. These populations offer an advantage in finely characterizing the genetic architecture of complex disorders due to the high frequency of the common pathological trait(s) and, therefore, the possibility of reconstructing genealogical family trees, building large kindreds, thus allowing the possibility of tracing back mutations across the centuries and rather easily conducting wide-ranging molecular genetics analysis to isolate causative mutations in pathological genes.
In the rest of the world, only a few places have been described as genetic isolates and made it possible to achieve important results on several diseases [95]. An Italian example is Sardinia, where founder mutations have been described in several medical areas, including neurological disorders such as Wilson’s disease [96], amyotrophic lateral sclerosis [97], and Parkinson’s disease [98]. In the same manner, in Sicily there has been reported a high prevalence of certain diseases, such as hereditary amyloid transthyretin (ATTRv) polyneuropathy [99].
The clinical and research work carried out over approximately thirty years in Calabria and developed with several research groups around the world, demonstrated the validity of the model for all the neurodegenerative diseases studied and undoubtedly increased the advancement of knowledge in this field. The study on autosomal dominant Alzheimer’s disease (ADAD) mainly contributed to the isolation and cloning of the PSEN1 gene in 1995 [45], the identification of the novel gamma secretase component protein “Nicastrin” [47], the amyloid cascade hypothesis, and the description of one of the largest families carrying ADAD in the world [5]. The genotype–phenotype correlation studies on ADAD patients have provided the possibility to better characterize early phenotypes showing frontal involvement or other atypical presentation, and these clinical specific aspects were only successfully recognized by the NIA–AA criteria, for the AD diagnosis, in 2011 [100]. Clinical follow-up of Dominantly Inherited Alzheimer Network (DIAN) cohorts showed that the biological disease starts in brains of subjects carrying mutations approximatively 20 to 25 years before the clinical onset of the disease [101].
FTD in the Biv. area of Calabria shows a prevalence notably higher (3.5%) compared to AD (0.6%) and no report exists to date in other countries of the world or other Italian regions. For example, according to worldwide data [102], it has been reported that AD is the most prevalent form of dementia in a mountainous village in Sicily [103] [CIT], Brescia County and Vescovato (Lombardia Region) [104,105], Macerata County (Marche Region) [106], Verona (Veneto Region) [107], and Vecchiano (Toscana Region) [108].
In the Biv. area, certain causes of this high prevalence of FTD have been identified in three different GRN mutations [10], but numerous causes remain to be determined and the etiology and epigenetic aspects need to be studied. Peculiar environments rich in metal mines could be a trace to follow in the future.
Notably, we have also reported a higher prevalence of PD associated with LRRK2 mutations with a broad range of onset (51–76 years) in Calabria [11] compared to the Italian population [109], even in this case probably due to the Calabrian geographical and historical isolation that has occurred in the last three centuries [11]. This latter aspect is also confirmed by the heterozygous mutations of NPC1 and NPC2 genes that could contribute to dementia plus, at least in a subset of Calabrian patients [14], and by the novel TBP mutations that we found associated with an atypical clinical picture of SCA17 in a large autosomal dominant Calabrian family [9].
Moreover, almost all the neurodegenerative diseases studied in Calabria show peculiarities. They are frequently associated with many novel causative or associated mutations or variants that often manifest with atypical phenotypes compared to the “classical” clinical pictures and at a younger age. These data contributed to the results of a recent metanalysis that reported a worldwide higher prevalence of early-onset dementia (119 per 100,000 inhabitants) [110].
Often, in early-onset Calabrian patients, the cognitive impairment is accompanied by a higher frequency of neuropsychiatric symptoms, such as apathy, agitation, depression, hallucinations, anxiety, disinhibition, and eating disorders [111]. The cause for increased neuropsychiatric symptoms in these patients is likely multifactorial and includes both social and biological factors.
Although the different genetic backgrounds of genetic isolate areas has been generally considered to have relatively little impact due to the rarity of the “rare diseases” [112], this does not apply to the Calabrian population. Knowing the peculiarities of Calabria as a genetic isolate and its neurodegenerative diseases can be important for the international medical and scientific community as the emigration to different places in Italy and the world (e.g., Australia, North and South America, Canada, Europe, England, etc.) occurred during the last few centuries [113] and especially in recent years [114]. Notably, it was estimated that in the world there are about 7 million first-generation and 30 million third-generation Calabrians [115] out of the 1,839,352 currently living in the region [1]. Thus, emigration constantly brings millions of people out of this region, and individuals carrying rare mutations with their potential diseases risk the difficulty of being diagnosed out of their geographically informed context.
In addition, we must remember that we are facing dominant diseases whose onset is in adulthood when the subjects, in most cases, already have children. Receiving a diagnosis of a neurodegenerative disease is surely more emotionally difficult for these patients due to their younger age and greater responsibilities within their families such as taking care of children and holding down a job [116]. Moreover, the high variability in age of onset and phenotype that we have documented at the level of the same mutation (e.g., APPA7113T) makes it desirable that a genetic screening will be carried out on all patients presenting symptoms of neurodegenerative diseases in Calabria, especially if they manifest atypical clinical pictures and have a positive family history of these disorders. This could not only allow us to identify other patients who present the mutations that we have already described but also further new ones not previously reported in the literature, opening new ways of both pathologically characterizing neurodegenerative diseases and developing new treatments. Moreover, all these specific aspects suggest that health services should be built for young onset forms of dementia (e.g., family counseling services and social services). General practitioners also need to be trained in all these diseases for an early diagnosis and intervention. The community must also be informed and made aware of the existence of the early-onset forms that require not only medical and social care but also a reduction of social stigma to improve the quality of life of both patients and their families. Last but not least, these patients (and also at-risk subjects) could accept experimental clinical trials such as of the novel disease-modifying drugs, as already done in prevention trials kicked off by DIAN-TU [117,118].

5. Conclusions

In conclusion, the Calabrian population could represent a useful model not only for the characterization of the etiology and pathophysiology of several debilitating and currently incurable neurodegenerative diseases but also for the development of new treatments suitable all over the world.

Author Contributions

A.C.B. conceptualized the manuscript; F.B. wrote the manuscript; V.L. contributed to the drafting; F.B. created the table; R.D.L. created the figure; A.C.B. and R.M. reviewed and edited the manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki. Ethical review and approval were waived for this study because it is a review of studies already published in which only preliminary epidemiological data have been previewed.

Data Availability Statement

The personal data presented in this study are available on request from the corresponding author. The data are not publicly available because preliminary.

Acknowledgments

We are grateful to all the researchers who have worked or collaborated with the Regional Neurogenetic Centre (CRN) over the years and who have contributed to achieving the results discussed in this review.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. ISTAT. Available online: https://demo.istat.it/ (accessed on 2 August 2022).
  2. Vissani, M.; Vitale, F. Geografia: Regioni d’Italia e Paesi del Mondo; Giunti Editore: Florence, Italy, 2021. [Google Scholar]
  3. Sarno, S.; Boattini, A.; Pagani, L.; Sazzini, M.; De Fanti, S.; Quagliariello, A.; Gnecchi Ruscone, G.A.; Guichard, E.; Ciani, G.; Bortolini, E.; et al. Ancient and Recent Admixture Layers in Sicily and Southern Italy Trace Multiple Migration Routes along the Mediterranean. Sci. Rep. 2017, 7, 1984. [Google Scholar] [CrossRef] [PubMed]
  4. Sarno, S.; Petrilli, R.; Abondio, P.; De Giovanni, A.; Boattini, A.; Sazzini, M.; De Fanti, S.; Cilli, E.; Ciani, G.; Gentilini, D.; et al. Genetic history of Calabrian Greeks reveals ancient events and longterm isolation in the Aspromonte area of Southern Italy. Sci. Rep. 2021, 11, 3045. [Google Scholar] [CrossRef] [PubMed]
  5. Bruni, A.C.; Bernardi, L.; Colao, R.; Rubino, E.; Smirne, N.; Frangipane, F.; Terni, B.; Curcio, S.A.M.; Mirabelli, M.; Clodomiro, A.; et al. Worldwide Distribution of PSEN1 Met146Leu Mutation: A Large Variability for a Founder Mutation. Neurology 2010, 74, 798–806. [Google Scholar] [CrossRef] [PubMed]
  6. Cizza, G.; Bernardi, L.; Smirne, N.; Maletta, R.; Tomaino, C.; Costanzo, A.; Gallo, M.; Lewis, J.G.; Geracitano, S.; Grasso, M.B.; et al. Clinical Manifestations of Highly Prevalent Corticosteroid-Binding Globulin Mutations in a Village in Southern Italy. J. Clin. Endocrinol. Metab. 2011, 96, E1684–E1693. [Google Scholar] [CrossRef] [PubMed]
  7. Willems, P.J.; Seo, H.C.; Coucke, P.; Tonlorenzi, R.; O’Brien, J.S. Spectrum of mutations in fucosidosis. Eur. J. Hum. Genet. 1999, 7, 60–67. [Google Scholar] [CrossRef] [PubMed]
  8. Bolino, A.; Brancolini, V.; Bono, F.; Bruni, A.; Gambardella, A.; Romeo, G.; Quattrone, A.; Devoto, M. Localization of a gene responsible for autosomal recessive demyelinating neuropathy with focally folded myelin sheaths to chromosome 11q23 by homozygosity mapping and haplotype sharing. Hum. Mol. Genet. 1996, 5, 1051–1054. [Google Scholar] [CrossRef][Green Version]
  9. Labate, A.; Tarantino, P.; Viri, M.; Mumoli, L.; Gagliardi, M.; Romeo, A.; Zara, F.; Annesi, G.; Gambardella, A. Homozygous c. 649dupC mutation in PRRT2 worsens the BFIS/PKD phenotype with mental retardation, episodic ataxia, and absences. Epilepsia 2012, 53, e196–e199. [Google Scholar] [CrossRef]
  10. Bernardi, L.; Frangipane, F.; Smirne, N.; Colao, R.; Puccio, G.; Curcio, S.A.M.; Mirabelli, M.; Maletta, R.; Anfossi, M.; Gallo, M.; et al. Epidemiology and Genetics of Frontotemporal Dementia: A Door-To-Door Survey in Southern Italy. Neurobiol. Aging 2012, 33, 107–108. [Google Scholar] [CrossRef]
  11. Anfossi, M.; Colao, R.; Gallo, M.; Bernardi, L.; Conidi, M.E.; Frangipane, F.; Frangipane, F.; Vasso, F.; Piuccio, G.; Clodomiro, A.; et al. Identification of three novel LRRK2 mutations associated with Parkinson’s disease in a Calabrian population. J. Alzheimer’s Dis. 2014, 38, 351–357. [Google Scholar] [CrossRef]
  12. Rossi, G.; Giaccone, G.; Maletta, R.; Morbin, M.; Capobianco, R.; Mangieri, M.; Giovagnoli, A.R.; Bizzi, A.; Tomiano, C.; Perri, M.; et al. A family with Alzheimer disease and strokes associated with A713T mutation of the APP gene. Neurology 2004, 63, 910–912. [Google Scholar] [CrossRef]
  13. Bruni, A.C.; Takahashi-Fujigasaki, J.; Maltecca, F.; Foncin, J.F.; Servadio, A.; Casari, G.; D’Adamo, P.; Maletta, R.; Curcio, S.A.M.; De Michele, G.; et al. Behavioral Disorder, Dementia, Ataxia, and Rigidity in a Large Family with TATA Box-Binding Protein Mutation. Arch. Neurol. 2004, 61, 1314–1320. [Google Scholar] [CrossRef] [PubMed]
  14. Cupidi, C.; Frangipane, F.; Gallo, M.; Clodomiro, A.; Colao, R.; Bernardi, L.; Anfossi, M.; Conidi, M.E.; Vasso, F.; Curcio, S.A.M.; et al. Role of Niemann-Pick type C disease mutations in dementia. J. Alzheimer’s Dis. 2017, 55, 1249–1259. [Google Scholar] [CrossRef] [PubMed]
  15. Gitler, A.D.; Dhillon, P.; Shorter, J. Neurodegenerative disease: Models, mechanisms, and a new hope. Dis. Models Mech. 2017, 10, 499–502. [Google Scholar] [CrossRef]
  16. Frangipane, F.; Cupidi, C.; Bruni, A.C. La malattia di Niemann-Pick di tipo C quale causa di demenza: Focus sullo stato di eterozigosi nell’adulto. Psicogeriatria 2016, 1, 66–73. [Google Scholar]
  17. Patterson, C. World Alzheimer Report 2018. The State of the Art of Dementia Research: New Frontiers; Alzheimer’s Disease International: London, UK, 2018. [Google Scholar]
  18. WHO. Available online: https://www.who.int/news-room/fact-sheets/detail/dementia (accessed on 5 August 2022).
  19. Nicolas, G.; Veltman, J.A. The role of de novo mutations in adult-onset neurodegenerative disorders. Acta Neuropathol. 2019, 137, 183–207. [Google Scholar] [CrossRef]
  20. Abramov, A.Y.; Berezhnov, A.V.; Fedotova, E.I.; Zinchenko, V.P.; Dolgacheva, L.P. Interaction of misfolded proteins and mitochondria in neurodegenerative disorders. Biochem. Soc. Trans. 2017, 45, 1025–1033. [Google Scholar] [CrossRef]
  21. Wang, Y.A.; Kammenga, J.E.; Harvey, S.C. Genetic variation in neurodegenerative diseases and its accessibility in the model organism Caenorhabditis elegans. Hum. Genom. 2017, 11, 12. [Google Scholar] [CrossRef]
  22. Lou, F.; Luo, X.; Li, M.; Ren, Y.; He, Z. Very early-onset sporadic Alzheimer’s disease with a de novo mutation in the PSEN1 gene. Neurobiol. Aging 2017, 53, 191–193. [Google Scholar] [CrossRef]
  23. Sintesi Attività Centro Regionale di Neurogenetica. Available online: https://novilunio.net/wp-content/uploads/2020/02/Sintesi-attivita-CNR.pdf (accessed on 2 August 2022).
  24. Cupidi, C.; Laganà, V.; Smirne, N.; Bruni, A.C. The role of historical medical archives in the genealogical rebuilding of large families affected by neurodegenerative diseases. J. Neurol. Neuromed. 2017, 2, 1–3. [Google Scholar]
  25. Gallo, M.; Marcello, N.; Curcio, S.A.M.; Colao, R.; Geracitano, S.; Bernardi, L.; Anfossi, M.; Puccio, G.; Frangipane, F.; Clodomiro, A.; et al. A Novel Pathogenic PSEN1 Mutation in a Family with Alzheimer’s Disease: Phenotypical and Neuropathological Features. J. Alzheimer’s Dis. 2011, 25, 425–431. [Google Scholar] [CrossRef]
  26. Gallo, M.; Frangipane, F.; Cupidi, C.; De Bartolo, M.; Turone, S.; Ferrari, C.; Nacmias, B.; Grimaldi, G.; Laganà, V.; Colao, R.; et al. The Novel PSEN1 M84V Mutation Associated to Frontal Dysexecutive Syndrome, Spastic Paraparesis, and Cerebellar Atrophy in a Dominant Alzheimer’s Disease Family. Neurobiol. Aging 2017, 56, 213.e7–213.e12. [Google Scholar] [CrossRef] [PubMed]
  27. Bernardi, L.; Tomaino, C.; Anfossi, M.; Gallo, M.; Geracitano, S.; Puccio, G.; Colao, R.; Frangipane, F.; Mirabelli, M.; Smirne, N.; et al. Late Onset Familial Alzheimer’s Disease: Novel Presenilin 2 Mutation and PS1 E318G Polymorphism. J. Neurol. 2008, 255, 604–606. [Google Scholar] [CrossRef] [PubMed]
  28. Tomaino, C.; Bernardi, L.; Anfossi, M.; Costanzo, A.; Ferrise, F.; Gallo, M.; Geracitano, S.; Maletta, R.; Curcio, S.A.M.; Mirabelli, M.; et al. Presenilin 2 Ser130Leu Mutation in a Case of Late-Onset “Sporadic” Alzheimer’s Disease. J. Neurol. 2007, 254, 391–393. [Google Scholar] [CrossRef] [PubMed]
  29. Abondio, P.; Sarno, S.; Giuliani, C.; Laganà, V.; Maletta, R.; Bernardi, L.; Bruni, A. Amyloid Precursor Protein A713T Mutation in Calabrian Patients with Alzheimer’s Disease: A Population Genomics Approach to Estimate Inheritance from a Common Ancestor. Biomedicines 2021, 10, 20. [Google Scholar] [CrossRef]
  30. Bernardi, L.; Geracitano, S.; Colao, R.; Puccio, G.; Gallo, M.; Anfossi, M.; Frangipane, F.; Curcio, S.A.M.; Mirabelli, M.; Tomaino, C.; et al. AβPP A713T Mutation in Late Onset Alzheimer’s Disease with Cerebrovascular Lesions. J. Alzheimer’s Dis. 2009, 17, 383–389. [Google Scholar] [CrossRef]
  31. Conidi, M.E.; Bernardi, L.; Puccio, G.; Smirne, N.; Muraca, M.G.; Curcio, S.A.M.; Colao, R.; Piscopo, P.; Gallo, M.; Anfossi, M.; et al. Homozygous carriers of APP A713T mutation in an autosomal dominant Alzheimer disease family. Neurology 2015, 84, 2266–2273. [Google Scholar] [CrossRef]
  32. Bernardi, L.; Tomaino, C.; Anfossi, M.; Gallo, M.; Geracitano, S.; Costanzo, A.; Colao, R.; Puccio, G.; Frangipane, F.; Curcio, S.A.M.; et al. Novel PSEN1 and PGRN Mutations in Early-Onset Familial Frontotemporal Dementia. Neurobiol. Aging 2009, 30, 1825–1833. [Google Scholar] [CrossRef]
  33. Piaceri, I.; Pradella, S.; Cupidi, C.; Nannucci, S.; Polito, C.; Bagnoli, S.; Tedde, A.; Smirne, N.; Anfossi, M.; Gallo, M.; et al. Association of the Variant Cys139Arg at GRN Gene to the Clinical Spectrum of Frontotemporal Lobar Degeneration. J. Alzheimer’s Dis. 2014, 40, 679–685. [Google Scholar] [CrossRef]
  34. Gallo, M.; Tomaino, C.; Puccio, G.; Frangipane, F.; Curcio, S.A.M.; Bernardi, L.; Geracitano, S.; Anfossi, M.; Mirabelli, M.; Colao, R.; et al. Novel MAPT Val75Ala Mutation and PSEN2 Arg62Hys in Two Siblings with Frontotemporal Dementia. Neurol. Sci. 2009, 31, 65–70. [Google Scholar] [CrossRef]
  35. Anfossi, M.; Bernardi, L.; Gallo, M.; Geracitano, S.; Colao, R.; Puccio, G.; Curcio, S.A.M.; Frangipane, F.; Mirabelli, M.; Tomaino, C.; et al. MAPT V363I Variation in a Sporadic Case of Frontotemporal Dementia. Alzheimer Dis. Assoc. Disord. 2011, 25, 96–99. [Google Scholar] [CrossRef]
  36. Anfossi, M.; Vuono, R.; Maletta, R.; Virdee, K.; Mirabelli, M.; Colao, R.; Puccio, G.; Bernardi, L.; Frangipane, F.; Gallo, M.; et al. Compound Heterozygosity of 2 Novel MAPT Mutations in Frontotemporal Dementia. Neurobiol. Aging 2011, 32, 757.e1–757.e11. [Google Scholar] [CrossRef]
  37. Bernardi, L.; Cupidi, C.; Frangipane, F.; Anfossi, M.; Gallo, M.; Conidi, M.E.; Vasso, F.; Colao, R.; Puccio, G.; Curcio, S.A.M.; et al. Novel N-Terminal Domain Mutation in Prion Protein Detected in 2 Patients Diagnosed with Frontotemporal Lobar Degeneration Syndrome. Neurobiol. Aging 2014, 35, 2657.e7–2657.e11. [Google Scholar] [CrossRef] [PubMed]
  38. Bruno, F.; Conidi, M.E.; Puccio, G.; Frangipane, F.; Laganà, V.; Bernardi, L.; Smirne, N.; Mirabelli, M.; Colao, R.; Curcio, S.; et al. A Novel Mutation (D395A) in Valosin-Containing Protein Gene Is Associated with Early Onset Frontotemporal Dementia in an Italian Family. Front. Gen. 2021, 12, 795029. [Google Scholar] [CrossRef] [PubMed]
  39. Armstrong, J.; Boada, M.; Rey, M.J.; Vidal, N.; Ferrer, I. Familial Alzheimer disease associated with A713T mutation in APP. Neurosci. Lett. 2004, 370, 241–243. [Google Scholar] [CrossRef] [PubMed]
  40. Breijyeh, Z.; Karaman, R. Comprehensive review on Alzheimer’s disease: Causes and treatment. Molecules 2020, 25, 5789. [Google Scholar] [CrossRef] [PubMed]
  41. Bruno, F.; Malvaso, A.; Canterini, S.; Bruni, A.C. Antimicrobial Peptides (AMPs) in the Pathogenesis of Alzheimer’s Disease: Implications for Diagnosis and Treatment. Antibiotics 2022, 11, 726. [Google Scholar] [CrossRef]
  42. Ryman, D.C.; Acosta-Baena, N.; Aisen, P.S.; Bird, T.; Danek, A.; Fox, N.C.; Goate, A.; Frommelt, P.; Ghetti, P.; Jangbaum, J.B.S.; et al. Symptom onset in autosomal dominant Alzheimer disease: A systematic review and meta-analysis. Neurology 2014, 83, 253–260. [Google Scholar] [CrossRef]
  43. Foncin, J.F.; Salmon, D.; Supino-Viterbo, V.; Feldman, R.G.; Macchi, G.; Mariotti, P.; Scoppetta, C.; Caruso, G.; Bruni, A.C. Alzheimer’s presenile dementia transmitted in an extended kindred. Rev. Neurol. 1985, 141, 194–202. [Google Scholar]
  44. Rainero, I.; Bergamini, L.; Bruni, A.C.; Ferini-Strambi, L.; Foncin, J.-F.; Gei, G.; Macciardi, F.; Montesi, M.P.; Pinessi, L.; Vaula, G. A New Italian Pedigree with Early-Onset Alzheimer’s Disease. J. Geriatr. Psychiatry Neurol. 1994, 7, 28–32. [Google Scholar] [CrossRef]
  45. Sherrington, R.; Rogaev, E.I.; Liang, Y.; Rogaeva, E.A.; Levesque, G.; Ikeda, M.; Chi, H.; Lin, C.; Li, G.; Holman, K.; et al. Cloning of a Gene Bearing Missense Mutations in Early-Onset Familial Alzheimer’s Disease. Nature 1995, 375, 754–760. [Google Scholar] [CrossRef]
  46. Borrello, L.; Cupidi, C.; Laganà, V.; Anfossi, M.; Conidi, M.E.; Smirne, N.; Taverniti, M.; Guarasci, R.; Bruni, A.C. Angela R.: A familial Alzheimer’s disease case in the days of Auguste D. J. Neurol. 2016, 263, 2494–2498. [Google Scholar] [CrossRef] [PubMed][Green Version]
  47. Yu, G.; Nishimura, M.; Arawaka, S.; Levitan, D.; Zhang, L.; Tandon, A.; Song, Y.Q.; Rogaeva, E.; Chen, F.; Kawarai, T.; et al. Nicastrin Modulates Presenilin-Mediated Notch/Glp-1 Signal Transduction and BetaAPP Processing. Nature 2000, 407, 48–54. [Google Scholar] [CrossRef] [PubMed]
  48. Confaloni, A.; Terreni, L.; Piscopo, P.; Crestini, A.; Campeggi, L.M.; Frigerio, C.S.; Blotta, I.; Perri, M.; Di Natale, M.; Maletta, R.; et al. Nicastrin gene in familial and sporadic Alzheimer’s disease. Neurosci. Lett. 2003, 353, 61–65. [Google Scholar] [CrossRef] [PubMed]
  49. Sellal, F.; Wallon, D.; Martinez-Almoyna, L.; Marelli, C.; Dhar, A.; Oesterlé, H.; Rovelet-Lecrux, A.; Rousseau, S.; Kourkoulis, C.E.; Rosand, J.; et al. APP Mutations in Cerebral Amyloid Angiopathy with or without Cortical Calcifications: Report of Three Families and a Literature Review. J. Alzheimer’s Dis. 2017, 56, 37–46. [Google Scholar] [CrossRef]
  50. Alzforum. Available online: https://www.alzforum.org/mutations/app-a713t (accessed on 7 August 2022).
  51. Varsome. Available online: https://varsome.com/ (accessed on 7 August 2022).
  52. Richards, S.; Aziz, N.; Bale, S.; Bick, D.; Das, S.; Gastier-Foster, J.; Grody, W.W.; Hegde, M.; Lyon, E.; Spector, E.; et al. Standards and Guidelines for the Interpretation of Sequence Variants: A Joint Consensus Recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology. Genet. Med. 2015, 17, 405–424. [Google Scholar] [CrossRef]
  53. Galimberti, D.; Dell’Osso, B.; Altamura, A.C.; Scarpini, E. Psychiatric symptoms in frontotemporal dementia: Epidemiology, phenotypes, differential diagnosis. Biol. Psychiatry 2015, 78, 684–692. [Google Scholar] [CrossRef]
  54. Laganà, V.; Bruno, F.; Altomari, N.; Bruni, G.; Smirne, N.; Curcio, S.; Mirabelli, M.; Colao, R.; Puccio, G.; Frangipane, F.; et al. Neuropsychiatric or Behavioral and Psychological Symptoms of Dementia (BPSD): Focus on Prevalence and Natural History in Alzheimer’s Disease and Frontotemporal Dementia. Front. Neurol. 2022, 13, 832199. [Google Scholar] [CrossRef]
  55. Carr, J.S.; Sirkis, D.W.; Yokoyama, J.S. Chapter 5—Genetic Contributions to Sporadic Frontotemporal Dementia. Available online: https://www.sciencedirect.com/science/article/pii/B9780128158685000050 (accessed on 10 August 2022).
  56. Panza, F.; Lozupone, M.; Seripa, D.; Daniele, A.; Watling, M.; Giannelli, G.; Imbimbo, B.P. Development of Disease-Modifying Drugs for Frontotemporal Dementia Spectrum Disorders. Nat. Rev. Neurol. 2020, 16, 213–228. [Google Scholar] [CrossRef]
  57. Greaves, C.V.; Rohrer, J.D. An Update on Genetic Frontotemporal Dementia. J. Neurol. 2019, 266, 2075–2086. [Google Scholar] [CrossRef]
  58. Curcio, S.A.M.; Kawarai, T.; Paterson, A.D.; Maletta, R.G.; Puccio, G.; Perri, M.; Di Natale, M.; Palermo, S.; Foncin, J.-F.; St. George Hyslop, P.H.; et al. A Large Calabrian Kindred Segregating Frontotemporal Dementia. J. Neurol. 2002, 249, 911–922. [Google Scholar] [CrossRef]
  59. Baker, M.; Mackenzie, I.R.; Pickering-Brown, S.M.; Gass, J.; Rademakers, R.; Lindholm, C.; Snowden, J.; Adamson, J.; Sadovnick, A.D.; Rollinson, S.; et al. Mutations in Progranulin Cause Tau-Negative Frontotemporal Dementia Linked to Chromosome 17. Nature 2006, 442, 916–919. [Google Scholar] [CrossRef] [PubMed]
  60. Mehta, S.; Khare, M.; Ramani, R.; Watts, G.; Simon, M.; Osann, K.; Donkervoort, S.; Dec, E.; Nalbandian, A.; Platt, J.; et al. Genotype-Phenotype Studies of VCP-Associated Inclusion Body Myopathy with Paget Disease of Bone And/or Frontotemporal Dementia. Clin. Genet. 2012, 83, 422–431. [Google Scholar] [CrossRef] [PubMed]
  61. Matsubara, T.; Izumi, Y.; Oda, M.; Takahashi, M.; Maruyama, H.; Miyamoto, R.; Watanabe, C.; Tachiyama, Y.; Morino, H.; Kawakami, H.; et al. An Autopsy Report of a Familial Amyotrophic Lateral Sclerosis Case Carrying VCP Arg487His Mutation with a Unique TDP-43 Proteinopathy. Neuropathology 2021, 41, 118–126. [Google Scholar] [CrossRef] [PubMed]
  62. Gonzalez, M.A.; Feely, S.M.; Speziani, F.; Strickland, A.V.; Danzi, M.; Bacon, C.; Lee, Y.; Chou, T.-F.; Blanton, S.H.; Weihl, C.C.; et al. A Novel Mutation in VCP Causes Charcot–Marie–Tooth Type 2 Disease. Brain 2014, 137, 2897–2902. [Google Scholar] [CrossRef]
  63. Van der Zee, J.; Pirici, D.; Van Langenhove, T.; Engelborghs, S.; Vandenberghe, R.; Hoffmann, M.; Pusswald, G.; Van den Broeck, M.; Peeters, K.; Mattheijssens, M.; et al. Clinical Heterogeneity in 3 Unrelated Families Linked to VCP P.Arg159His. Neurology 2009, 73, 626–632. [Google Scholar] [CrossRef]
  64. Saracino, D.; Clot, F.; Camuzat, A.; Anquetil, V.; Hannequin, D.; Guyant-Maréchal, L.; Didic, M.; Guillot-Noël, L.; Rinaldi, D.; Latouche, M.; et al. Novel VCP Mutations Expand the Mutational Spectrum of Frontotemporal Dementia. Neurobiol. Aging 2018, 72, 187.e11–187.e14. [Google Scholar] [CrossRef]
  65. De Lau, L.M.; Breteler, M.M. Epidemiology of Parkinson’s disease. Lancet Neurol. 2006, 5, 525–535. [Google Scholar] [CrossRef]
  66. Moore, D.J.; West, A.B.; Dawson, V.L.; Dawson, T.M. Molecular pathophysiology of Parkinson’s disease. Annu. Rev. Neurosci. 2005, 28, 57–87. [Google Scholar] [CrossRef]
  67. Huang, X.; Ng, S.Y.-E.; Chia, N.S.-Y.; Setiawan, F.; Tay, K.-Y.; Au, W.-L.; Tan, E.-K.; Tan, L.C.-S. Non-Motor Symptoms in Early Parkinson’s Disease with Different Motor Subtypes and Their Associations with Quality of Life. Eur. J. Neurol. 2018, 26, 400–406. [Google Scholar] [CrossRef]
  68. Poewe, W. Non-motor symptoms in Parkinson’s disease. Eur. J. Neurol. 2008, 15, 14–20. [Google Scholar] [CrossRef]
  69. Zimprich, A.; Biskup, S.; Leitner, P.; Lichtner, P.; Farrer, M.; Lincoln, S.; Kachergus, J.; Hulihan, M.; Uitti, R.J.; Calne, D.B.; et al. Mutations in LRRK2 Cause Autosomal-Dominant Parkinsonism with Pleomorphic Pathology. Neuron 2004, 44, 601–607. [Google Scholar] [CrossRef]
  70. Paisan-Ruiz, C.; Washecka, N.; Nath, P.; Singleton, A.B.; Corder, E.H. Parkinson’s disease and low frequency alleles found together throughout LRRK2. Ann. Hum. Genet. 2009, 73, 391–403. [Google Scholar] [CrossRef]
  71. De Rosa, A.; Criscuolo, C.; Mancini, P.; De Martino, M.; Giordano, I.A.; Pappata, S.; Filla, A.; De Michele, G. Genetic screen-ing for LRRK2 gene G2019S mutation in Parkinson’s disease patients from Southern Italy. Parkinsonism Relat. Disord. 2009, 15, 242–244. [Google Scholar] [CrossRef]
  72. Gagliardi, M.; Iannello, G.; Colica, C.; Annesi, G.; Quattrone, A. Analysis of CHCHD2 Gene in Familial Parkinson’s Disease from Calabria. Neurobiol. Aging 2017, 50, 169.e5–169.e6. [Google Scholar] [CrossRef]
  73. Gagliardi, M.; Arabia, G.; Nisticò, R.; Iannello, G.; Procopio, R.; Manfredini, L.; Annesi, G.; Quattrone, A. Mutational Analysis of TARDBP Gene in Patients Affected by Parkinson’s Disease from Calabria. J. Neurol. Sci. 2018, 390, 209–211. [Google Scholar] [CrossRef]
  74. Gagliardi, M.; Procopio, R.; Nicoletti, G.; Morelli, M.; D’Amelio, M.; Quattrone, A.; Annesi, G. Analysis of the LRP10 Gene in Patients with Parkinson’s Disease and Dementia with Lewy Bodies from Southern Italy. J. Neurol. Sci. 2020, 42, 305–308. [Google Scholar] [CrossRef]
  75. Gagliardi, M.; Annesi, G.; Procopio, R.; Morelli, M.; Iannello, G.; Bonapace, G.; Mancini, M.; Nicoletti, G.; Quattrone, A. DNAJC13 Mutation Screening in Patients with Parkinson’s Disease from South Italy. Parkinsonism Relat. Disord. 2018, 55, 134–137. [Google Scholar] [CrossRef]
  76. Funayama, M.; Ohe, K.; Amo, T.; Furuya, N.; Yamaguchi, J.; Saiki, S.; Li, Y.; Ogaki, K.; Ando, M.; Yoshino, H.; et al. CHCHD2 Mutations in Autosomal Dominant Late-Onset Parkinson’s Disease: A Genome-Wide Linkage and Sequencing Study. Lancet Neurol. 2015, 14, 274–282. [Google Scholar] [CrossRef]
  77. Quadri, M.; Cossu, G.; Saddi, V.; Simons, E.J.; Murgia, D.; Melis, M.; Ticca, A.; Oostra, B.A.; Bonifati, V. Broadening the phenotype of TARDBP mutations: The TARDBP Ala382Thr mutation and Parkinson’s disease in Sardinia. Neurogenetics 2011, 12, 203–209. [Google Scholar] [CrossRef]
  78. Quadri, M.; Mandemakers, W.; Grochowska, M.M.; Masius, R.; Geut, H.; Fabrizio, E.; Breedveld, G.J.; Kuiper, D.; Minneboo, M.; Vergouw, L.J.M.; et al. LRP10 genetic variants in familial Parkinson’s disease and dementia with Lewy bodies: A genome-wide linkage and sequencing study. Lancet Neurol. 2018, 17, 597–608. [Google Scholar] [CrossRef]
  79. Vilariño-Güell, C.; Rajput, A.; Milnerwood, A.J.; Shah, B.; Szu-Tu, C.; Trinh, J.; Yu, I.; Encarnacion, M.; Munsie, L.N.; Tapia, L.; et al. DNAJC13 mutations in Parkinson disease. Hum. Mol. Genet. 2014, 23, 1794–1801. [Google Scholar] [CrossRef] [PubMed]
  80. De Marco, E.V.; Annesi, G.; Tarantino, P.; Rocca, F.E.; Provenzano, G.; Civitelli, D.; Candiano, I.C.C.; Annesi, F.; Carriedo, S.; Condino, F.; et al. Glucocerebrosidase gene mutations are associated with Parkinson’s disease in southern Italy. Mov. Disord. 2008, 23, 460–463. [Google Scholar] [CrossRef] [PubMed]
  81. Caporali, P.; Bruno, F.; Palladino, G.; Dragotto, J.; Petrosini, L.; Mangia, F.; Erickson, R.P.; Canterini, S.; Fiorenza, M.T. Developmental delay in motor skill acquisition in Niemann-Pick C1 mice reveals abnormal cerebellar morphogenesis. Acta Neuropathol. Commun. 2016, 4, 94. [Google Scholar] [CrossRef] [PubMed]
  82. Nusca, S.; Canterini, S.; Palladino, G.; Bruno, F.; Mangia, F.; Erickson, R.P.; Fiorenza, M.T. A marked paucity of granule cells in the developing cerebellum of the Npc1−/− mouse is corrected by a single injection of hydroxypropyl-β-cyclodextrin. Neurobiol. Dis. 2014, 70, 117–126. [Google Scholar] [CrossRef] [PubMed][Green Version]
  83. Vanier, M.T. Niemann-Pick disease type C. Orphanet J. Rare Dis. 2010, 5, 16. [Google Scholar] [CrossRef] [PubMed]
  84. Patterson, M.C.; Hendriksz, C.J.; Walterfang, M.; Sedel, F.; Vanier, M.T.; Wijburg, F. NP-C Guidelines Working Group. Recommendations for the diagnosis and management of Niemann-Pick disease type C: An update. Mol. Genet. Metab. 2012, 106, 330–344. [Google Scholar] [CrossRef]
  85. Bauer, P.; Balding, D.J.; Klünemann, H.H.; Linden, D.E.; Ory, D.S.; Pineda, M.; Priller, J.; Sedel, F.; Muller, A.; Chadha-Boreham, H.; et al. Genetic screening for Niemann–Pick disease type C in adults with neurological and psychiatric symptoms: Findings from the ZOOM study. Hum. Mol. Genet. 2013, 22, 4349–4356. [Google Scholar] [CrossRef]
  86. Sorrentino, F.; Arighi, A.; Serpente, M.; Arosio, B.; Arcaro, M.; Visconte, C.; Rotondo, E.; Vimercati, R.; Ferri, E.; Fumagalli, G.G.; et al. Niemann-Pick Type C 1 (NPC1) and NPC2 Gene Variability in Demented Patients with Evidence of Brain Amyloid Deposition. J. Alzheimer’s Dis. 2021, 83, 1313–1323. [Google Scholar] [CrossRef]
  87. Malnar, M.; Hecimovic, S.; Mattsson, N.; Zetterberg, H. Bidirectional links between Alzheimer’s disease and Niemann–Pick type C disease. Neurobiol. Dis. 2014, 72, 37–47. [Google Scholar] [CrossRef]
  88. Nakamura, K.; Jeong, S.Y.; Uchihara, T.; Anno, M.; Nagashima, K.; Nagashima, T.; Ikeda, S.; Tsuji, S.; Kanazawa, I. SCA17, a novel autosomal dominant cerebellar ataxia caused by an expanded polyglutamine in TATA-binding protein. Hum. Mol. Genet. 2001, 10, 1441–1448. [Google Scholar] [CrossRef]
  89. Koide, R.; Kobayashi, S.; Shimohata, T.; Ikeuchi, T.; Maruyama, M.; Saito, M.; Yamada, M.; Takahashi, H.; Tsuji, S. A neurological disease caused by an expanded CAG trinucleotide repeat in the TATA-binding protein gene: A new polyglutamine disease? Hum. Mol. Genet. 1999, 8, 2047–2053. [Google Scholar] [CrossRef] [PubMed]
  90. Zuhlke, C.; Hellenbroich, Y.; Dalski, A.; Hagenah, J.; Vieregge, P.; Riess, O.; Klein, C.; Schwinger, E. Different types of repeat expansion in the TATA-binding protein gene are associated with a new form of inherited ataxia. Eur. J. Hum. Genet. 2001, 9, 160–164. [Google Scholar] [CrossRef] [PubMed]
  91. Filla, A.; De Michele, G.; Cocozza, S.; Parignani, A.; Volpe, G.; Castaldo, I.; Ruggiero, G.; Bonavita, V.; Masters, C.; Casari, G.; et al. Early Onset Autosomal dominant Dementia with Ataxia, Extrapyramidal Features, and Epilepsy. Neurology 2002, 26, 922–928. [Google Scholar] [CrossRef] [PubMed]
  92. Young, A.L.; Marinescu, R.V.; Oxtoby, N.P.; Bocchetta, M.; Yong, K.; Firth, N.C.; Cash, D.M.; Thomas, D.L.; Dick, K.M.; Cardoso, J.; et al. Uncovering the heterogeneity and temporal complexity of neurodegenerative diseases with Subtype and Stage Inference. Nat. Commun. 2018, 9, 4273. [Google Scholar] [CrossRef]
  93. Strafella, C.; Caputo, V.; Galota, M.R.; Zampatti, S.; Marella, G.; Mauriello, S.; Cascella, R.; Giardina, E. Application of precision medicine in neurodegenerative diseases. Front. Neurol. 2018, 9, 701. [Google Scholar] [CrossRef]
  94. Durães, F.; Pinto, M.; Sousa, E. Old drugs as new treatments for neurodegenerative diseases. Pharmaceuticals 2018, 11, 44. [Google Scholar] [CrossRef]
  95. MacDonald, M.E.; Ambrose, C.M.; Duyao, M.P.; Myers, R.H.; Lin, C.; Srinidhi, L.; Barnes, G.; Taylor, S.A.; James, M.; Groot, N.; et al. A novel gene containing a trinucleotide repeat that is expanded and unstable on Huntington’s disease chromosomes. Cell 1993, 72, 971–983. [Google Scholar] [CrossRef]
  96. Loudianos, G.; Dessi, V.; Lovicu, M.; Angius, A.; Figus, A.; Lilliu, F.; De Virgiliis, S.; Nurchi, A.M.; Deplano, A.; Moi, P.; et al. Molecular characterization of wilson disease in the Sardinian population—Evidence of a founder effect. Hum. Mutat. 1999, 14, 294–303. [Google Scholar] [CrossRef]
  97. Chio, A.; Borghero, G.; Pugliatti, M.; Ticca, A.; Calvo, A.; Moglia, C.; Mutani, R.; Brunetti, M.; Ossola, I.; Marrosu, M.G.; et al. Large proportion of amyotrophic lateral sclerosis cases in Sardinia due to a single founder mutation of the TARDBP gene. Arch. Neurol. 2011, 68, 594–598. [Google Scholar] [CrossRef]
  98. Cossu, G.; van Doeselaar, M.; Deriu, M.; Melis, M.; Molari, A.; Di Fonzo, A.; Oostra, B.A.; Bonifati, V. LRRK2 mutations and Parkinson’s disease in Sardinia—A Mediterranean genetic isolate. Parkinsonism Relat. Disord. 2007, 13, 17–21. [Google Scholar] [CrossRef]
  99. Russo, M.; Gentile, L.; Di Stefano, V.; Di Bella, G.; Minutoli, F.; Toscano, A.; Brighina, F.; Vita, G.; Mazzeo, A. Use of Drugs for ATTRv Amyloidosis in the Real World: How Therapy Is Changing Survival in a Non-Endemic Area. Brain Sci. 2021, 11, 545. [Google Scholar] [CrossRef] [PubMed]
  100. Frisoni, G.B.; Winblad, B.; O’Brien, J.T. Revised NIA-AA criteria for the diagnosis of Alzheimer’s disease: A step forward but not yet ready for widespread clinical use. Int. Psychoger. 2011, 23, 1191–1196. [Google Scholar] [CrossRef] [PubMed]
  101. Cash, D.M.; Ridgway, G.R.; Liang, Y.; Ryan, N.S.; Kinnunen, K.M.; Yeatman, T.; Malone, I.B.; Benzinger, T.L.S.; Jack, C.R.; Thompson, P.M.; et al. The pattern of atrophy in familial Alzheimer disease: Volumetric MRI results from the DIAN study. Neurology 2013, 81, 1425–1433. [Google Scholar] [CrossRef] [PubMed]
  102. Hoie, E. Alzheimer’s disease: Current treatments and potential new agents. US Pharm. 2019, 44, 20–23. [Google Scholar]
  103. Spada, R.S.; Stella, G.; Calabrese, S.; Bosco, P.; Anello, G.; Guéant-Rodriguez, R.M.; Romano, A.; Benamghar, L.; Guéant, J.L. Prevalence of dementia in mountainous village of Sicily. J. Neurol. Sci. 2009, 283, 62–65. [Google Scholar] [CrossRef]
  104. Borroni, B.; Alberici, A.; Grassi, M.; Rozzini, L.; Turla, M.; Zanetti, O.; Bianchetti, A.; Gilberti, N.; Bonvicini, C.; Volta, G.D.; et al. Prevalence and demographic features of early-onset neurodegenerative dementia in Brescia County, Italy. Alzheimer Dis. Assoc. Disord. 2009, 25, 341–344. [Google Scholar] [CrossRef]
  105. Ferini-Strambi, L.; Marcone, A.; Garancini, P.; Danelon, F.; Zamboni, M.; Massussi, P.; Tedesi, B.; Smirne, S. Dementing disorders in north Italy: Prevalence study in Vescovato, Cremona Province. Eur. J. Epidemiol. 1997, 13, 201–204. [Google Scholar] [CrossRef]
  106. Rocca, W.A.; Bonaiuto, S.; Lippi, A.; Luciani, P.; Turtu, F.; Cavarzeran, F.; Amaducci, L. Prevalence of clinically diagnosed Alzheimer’s disease and other dementing disorders: A door-to-door survey in Appignano, Macerata Province, Italy. Neurology 1990, 40, 626–631. [Google Scholar] [CrossRef]
  107. Benedetti, M.D.; Salviati, A.; Filipponi, S.; Manfredi, M.; De Togni, L.; Lira, M.G.; Stenta, G.; Fincati, E.; Pampanin, M.; Rizzuto, N.; et al. Prevalence of dementia and apolipoprotein e genotype distribution in the elderly of Buttapietra, Verona province, Italy. Neuroepidemiology 2002, 21, 74–80. [Google Scholar] [CrossRef]
  108. Tognoni, G.; Ceravolo, R.; Nucciarone, B.; Bianchi, F.; Dell’Agnello, G.; Ghicopulos, I.; Siciliano, G.; Murri, L. From mild cognitive impairment to dementia: A prevalence study in a district of Tuscany, Italy. Acta Neurol. Scand. 2005, 112, 65–71. [Google Scholar] [CrossRef]
  109. Cilia, R.; Siri, C.; Rusconi, D.; Allegra, R.; Ghiglietti, A.; Sacilotto, G.; Zini, M.; Zecchinelli, A.L.; Asseta, R.; Dufa, S.; et al. LRRK2 mutations in Parkinson’s disease: Confirmation of a gender effect in the Italian population. Parkinsonism Relat. Disord. 2014, 20, 911–914. [Google Scholar] [CrossRef] [PubMed]
  110. Hendriks, S.; Peetoom, K.; Bakker, C.; Van Der Flier, W.M.; Papma, J.M.; Koopmans, R.; Verhey, F.R.J.; de Vugt, M.; Köhler, S.; Young-Onset Dementia Epidemiology Study Group. Global prevalence of young-onset dementia: A systematic review and meta-analysis. JAMA Neurol. 2021, 78, 1080–1090. [Google Scholar] [CrossRef] [PubMed]
  111. Altomari, N.; Bruno, F.; Laganà, V.; Smirne, N.; Colao, R.; Curcio, S.; Di Lorenzo, R.; Frangipane, F.; Maletta, R.; Puccio, G.; et al. A Comparison of Behavioral and Psychological Symptoms of Dementia (BPSD) and BPSD Sub-Syndromes in Early-Onset and Late-Onset Alzheimer’s Disease. J. Alzheimer’s Dis. 2022, 85, 691–699. [Google Scholar] [CrossRef] [PubMed]
  112. Kääriäinen, H.; Muilu, J.; Perola, M.; Kristiansson, K. Genetics in an isolated population like Finland: A different basis for genomic medicine? J. Community Genet. 2017, 8, 319–326. [Google Scholar] [CrossRef] [PubMed]
  113. Carchedi, F.; Vitiello, M. L’emigrazione Dalla Calabria: Percorsi Migratori, Consistenze Numeriche ed Effetti Sociali; Collana Quaderni Migrantes; Tau Editrice: Todi, Italy, 2014; ISBN 978-88-6244-367-8. [Google Scholar]
  114. ISTAT. Available online: http://dati.istat.it/Index.aspx?QueryId=34216 (accessed on 14 August 2022).
  115. Condarcuri, D.V. Viva i Calabresi nel Mondo. In Calabria Positiva; Meligrana Giuseppe Editore: Tropea, Italy, 2022; Volume 1, pp. 10–11. Available online: https://www.rivieraweb.it/copia-digitale/ (accessed on 2 September 2022).
  116. Gumus, M.; Multani, N.; Mack, M.L.; Tartaglia, M.C. Progression of neuropsychiatric symptoms in young-onset versus late-onset Alzheimer’s disease. Geroscience 2021, 43, 213–223. [Google Scholar] [CrossRef]
  117. Panza, F.; Seripa, D.; Lozupone, M.; Solfrizzi, V.; Imbimbo, B.P.; Barulli, M.R.; Tortelli, R.; Capozzo, R.; Bisceglia, P.; Dimitri, A.; et al. The potential of solanezumab and gantenerumab to prevent Alzheimer’s disease in people with inherited mutations that cause its early onset. Expert Opin. Biol. Ther. 2018, 18, 25–35. [Google Scholar] [CrossRef]
  118. Bateman, R.J.; Benzinger, T.L.; Berry, S.; Clifford, D.B.; Duggan, C.; Fagan, A.M.; Fanning, K.; Farlow, M.R.; Hassenstab, J.; McDade, E.M.; et al. The DIAN-TU Next Generation Alzheimer’s prevention trial: Adaptive design and disease progression model. Alzheimer’s Dement. 2017, 13, 8–19. [Google Scholar] [CrossRef]
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Article Metrics

Citations

Article Access Statistics

Multiple requests from the same IP address are counted as one view.