SHM & Hospital Medicine in the News: January 18, 2018
Check out the latest hospital medicine and SHM-related stories in mainstream and healthcare news. For the full stories, click on the links below:
New Expert Guidance on Contact Precautions for Drug-Resistant Infections
New expert guidance released today by the Society for Healthcare Epidemiology of America advises hospitals on determining when they can safely discontinue contact precautions for patients with multi-drug resistant bacteria. The framework, published in Infection Control and Hospital Epidemiology, addresses how long hospital staff should use these safety protocols to reduce the spread of potentially deadly organisms within the hospital, in most cases ranging from one to three negative cultures prior to discontinuation. The guidance also outlines the use of molecular testing that is guiding these care decisions.
January 11, 2018
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Do Hospitalists Really Improve Patient Outcomes?
Long continues the debate of what impact hospitalists have on inpatient outcomes. This issue has been playing out in the medical literature for 20 years, since the coining of the term in 1997. In the most recent iteration of the debate, a study was recently published in JAMA Internal Medicine entitled “Comparison of Hospital Resource Use and Outcomes Among Hospitalists, Primary Care Physicians, and Other Generalists.”
December 18, 2017
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Study Shows Doctors Record Better Notes After Using Best-Practices Program
The quality and efficiency of notes doctors took about their patients improved when they received education and guidelines that emphasized best practices. In a study led by UCLA researchers, physicians were instructed to document only what was relevant for that day and were discouraged from using some common tools that are intended to make note-taking more efficient. During the study period, physicians produced shorter, higher quality notes and completed the notes earlier in the day. By limiting the efficiency tools, note writing actually became more efficient.
January 17, 2018
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Mid-Atlantic Hospitalist Group Expands With Like-Minded Firm, Expects to See Additional Growth Opportunities
In 2017, large healthcare mergers dominated the headlines, but as 2018 begins, a smaller player in the hospitalist space made its first acquisition, for the same reasons as its bigger relatives.
Adfinitas Health is the largest private hospitalist group in the Mid-Atlantic region, operating in Maryland and Virginia, as well as Michigan. Earlier this week it announced it moved into the Pennsylvania market by acquiring the majority of Advanced Inpatient Medicine (AIM). Terms were not disclosed.
January 11, 2018
AJMC In Focus Blog
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Felicia joined the Society of Hospital Medicine in November of 2016 and serves as the Marketing Communications Specialist. She is responsible for overseeing day-to-day social media engagement, developing content that supports SHM’s brand and core values, monitoring SHM’s media coverage and assisting in the moderation of SHM’s online community, HMX. Prior to her role at SHM, Ms. Steele was the Sales & Marketing Assistant at The MandMarblestone Group, LLC, a tax law consulting firm. She earned her Bachelor’s degree in Communication Studies with a minor in Public Health from Temple University.
Hospitalist Impact on Patient Outcomes, APP Integration & More in HM News
SHM & Hospital Medicine in the News: January 18, 2018 Check out the latest hospital medicine and SHM-related stories in mainstream and healthcare news. For the full stories, click on the links below: SHM is one of three associations to endorse the Society for Healthcare Epidemiology of America’s (SHEA) new expert guidance statement on contact […]
HM Highlights: SHM Members Discuss ER Utilization, Patient Trust & More
SHM & Hospital Medicine in the News: October 26 – November 9, 2017: Check out the latest hospital medicine and SHM-related stories in mainstream and healthcare news. For the full stories, click on the links below: SHM member Shoshana Herzig, MD spoke with healthline about why so many Americans utilize the emergency room rather than […]
Opioid Safety, Choosing Wisely and SHM Member Successes in HM News
SHM & Hospital Medicine in the News: October 12 – 26, 2017 Check out the latest hospital medicine and SHM-related stories in mainstream and healthcare news. For the full stories, click on the links below: Hilary Mosher, MD, FHM and SHM’s Reducing Adverse Drug Events related to Opioids (RADEO) Guide were featured in an article […]
Amyloid protein precursor (APP), presenilin-1 (PSEN1), and presenilin-2 (PSEN2) mutations cause autosomal dominant forms of early-onset Alzheimer disease (AD-EOAD). Although these genes were identified in the 1990s, variant classification remains a challenge, highlighting the need to colligate mutations from large series.
Methods and findings
We report here a novel update (2012–2016) of the genetic screening of the large AD-EOAD series ascertained across 28 French hospitals from 1993 onwards, bringing the total number of families with identified mutations to n = 170. Families were included when at least two first-degree relatives suffered from early-onset Alzheimer disease (EOAD) with an age of onset (AOO) ≤65 y in two generations. Furthermore, we also screened 129 sporadic cases of Alzheimer disease with an AOO below age 51 (44% males, mean AOO = 45 ± 2 y). APP, PSEN1, or PSEN2 mutations were identified in 53 novel AD-EOAD families. Of the 129 sporadic cases screened, 17 carried a PSEN1 mutation and 1 carried an APP duplication (13%). Parental DNA was available for 10 sporadic mutation carriers, allowing us to show that the mutation had occurred de novo in each case. Thirteen mutations (12 in PSEN1 and 1 in PSEN2) identified either in familial or in sporadic cases were previously unreported. Of the 53 mutation carriers with available cerebrospinal fluid (CSF) biomarkers, 46 (87%) had all three CSF biomarkers—total tau protein (Tau), phospho-tau protein (P-Tau), and amyloid β (Aβ)42—in abnormal ranges. No mutation carrier had the three biomarkers in normal ranges. One limitation of this study is the absence of functional assessment of the possibly and probably pathogenic variants, which should help their classification.
Our findings suggest that a nonnegligible fraction of PSEN1 mutations occurs de novo, which is of high importance for genetic counseling, as PSEN1 mutational screening is currently performed in familial cases only. Among the 90 distinct mutations found in the whole sample of families and isolated cases, definite pathogenicity is currently established for only 77%, emphasizing the need to pursue the effort to classify variants.
Why was this study done?
- Mutations in the amyloid protein precursor (APP), presenilin-1 (PSEN1), and presenilin-2 (PSEN2) genes are a known cause of familial, early-onset Alzheimer disease (EOAD) (onset below age 65).
- However, in order to improve genetic counseling, it is necessary to report mutational screening from large cohorts of patients.
What did the researchers do and find?
- In the present study, we performed sequencing of the APP, PSEN1, and PSEN2 genes in EOAD families and in 129 sporadic cases.
- Mutations were identified in 170 EOAD families and in 18 sporadic cases.
- In 10 sporadic cases, we showed that the mutation was absent in the parents, indicating that it occurred “de novo.”
What do these findings mean?
- Sufficient evidence of pathogenicity is reached for 77% of the 90 distinct mutations identified in this sample, allowing their use in genetic counseling.
- Our results suggest a potential benefit to screening nonfamilial Alzheimer disease (AD) cases with onset before 50 y for APP, PSEN1, and PSEN2 mutations.
Citation: Lanoiselée H-M, Nicolas G, Wallon D, Rovelet-Lecrux A, Lacour M, Rousseau S, et al. (2017) APP, PSEN1, and PSEN2 mutations in early-onset Alzheimer disease: A genetic screening study of familial and sporadic cases. PLoS Med 14(3): e1002270. https://doi.org/10.1371/journal.pmed.1002270
Academic Editor: Bruce L. Miller, University of California San Francisco Memory and Aging Center, UNITED STATES
Received: September 8, 2016; Accepted: February 17, 2017; Published: March 28, 2017
Copyright: © 2017 Lanoiselée et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: All relevant data are within the paper and its Supporting Information files.
Funding: This study was funded by the following grants: Clinical Research Hospital Program from the French Ministry of Health (PHRC, GMAJ 2008/067) to DC; Funding from the French Ministry of Health to the National Reference Centre for Young Alzheimer Disease (CNR-MAJ) to DH; Joint Program for Neurodegenerative Disease Research from the European Union (JPND PERADES, ANR-13-JPRF-0001-04) to DC. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Abbreviations: Aβ, amyloid β; AD, Alzheimer disease; AD-EOAD, autosomal dominant early-onset Alzheimer disease; AOO, age of onset; APOE, Apolipoprotein E; APP, amyloid protein precursor; CAA, cerebral amyloid angiopathy; CSF, cerebrospinal fluid; EOAD, early-onset Alzheimer disease; ExAC, Exome Aggregation Consortium; LOAD, late-onset Alzheimer disease; PLM, Paris, Lyon, Marseille; PSEN1, presenilin-1; PSEN2, presenilin-2; P-Tau, phospho-tau protein; Tau, total tau protein
Alzheimer disease (AD) (MIM #104300) is the most common form of dementia. However, early-onset AD (EOAD) constitutes a minority of patients, with an estimated prevalence of 41.2 per 100,000 persons at risk . Among these forms, presenilin-1 (PSEN1) (MIM #104311), presenilin-2 (PSEN2) (MIM #600759) [2–5], and amyloid protein precursor (APP) (MIM #104760) mutations [6–8] and duplications  cause autosomal-dominant EOAD (AD-EOAD), the prevalence of which is estimated to be 5.3 per 100,000 persons at risk . PSEN1 is the most commonly involved gene, with 221 mutations reported as pathogenic in the Alzforum database (www.alzforum.org/mutations). The second most commonly involved gene is APP, with 32 pathogenic mutations described, while 19 different PSEN2 pathogenic mutations have been reported. APP encodes the amyloid-β precursor protein, the processing of which by the β-secretase and the γ-secretase complex leads to the production of the amyloid β (Aβ) peptide, a key event in AD pathogeny. The aggregation of the Aβ peptide in the brain’s parenchyma indeed triggers a cascade of events leading to AD. Its aggregation in cerebromeningeal vessels leads to cerebral amyloid angiopathy (CAA), a condition frequently associated with AD and responsible for recurrent haemorrhagic strokes and white matter lesions. PSEN1 and PSEN2 encode the presenilins, which constitute the catalytic subunit of the γ-secretase complex (for review, see [10,11]). AD-EOAD causative mutations are thought to be responsible for the increased aggregation of the Aβ peptide in the brain’s parenchyma through one of the two following mechanisms: increased overall production of all Aβ species (e.g., APP duplications or APP mutations located around the β cleavage site) or production of a more aggregation-prone form of the Aβ peptide.
The power to detect genetic variations has dramatically improved over the last few years, but the interpretation of rare variants remains a challenge in a high proportion of cases. The pathogenicity of most APP, PSEN1, and PSEN2 variants has not yet been assessed through in vitro functional experiments. In cases of insufficient genetic evidence (i.e., lack or limited familial segregation or recurrence), definite pathogenicity of a given variant may therefore remain uncertain. An algorithm was proposed to classify those variants, based on (i) intrafamilial segregation, (ii) recurrence of the mutation in independent cases and association in case–control samples, (iii) residue conservation between PSEN1 and PSEN2 and residue localization on functional domains, and (iv) functional tests, when available . Reporting patients carrying novel as well as previously known mutations along with the associated phenotypes will aid in classification of these variants and will eventually allow genetic counseling and inclusion in preventive trials for presymptomatic carriers .
We had previously described the PSENs and APP mutational spectrum in a large French series of families with an EOAD diagnosis in at least two first-degree relatives from two generations . The aim of the present article is to report mutations in additional families included since our last 2012 update . Furthermore, we add the results of the genetic screening of 129 sporadic EOAD patients with an age of onset (AOO) before 51. The involvement of PSEN1, PSEN2, and APP mutations in the genetics of sporadic EOAD has been scarcely studied. In particular, systematic genetic assessments of series of patients with youngest AOO who are at high risk to carry an AD-EOAD mutation were not reported before. In these patients, the family history can remain negative because of a censoring effect (i.e., death of the transmitting parent before EOAD onset)  or if the mutation occurs de novo (i.e., if it is not found in parents but occurs in the parental germline or as a postzygotic event) .
Materials and methods
The study was approved by the Paris Ile de France II ethics committee.
EOAD subjects were referred to the National Reference Center for Early-Onset Alzheimer Patients (CNR-MAJ) from 28 university hospitals across France. For each patient, AD diagnosis was established using the National Institute of Aging–Alzheimer’s Association (NIA–AA) criteria . All patients underwent a comprehensive clinical examination, including personal medical and family history and neuropsychological assessment. Search for mutations in APP, PSEN1, and PSEN2 genes was performed (i) in AD-EOAD presentations (i.e., if at least two first-degree relatives suffered from EOAD [AOO ≤65 y]) in two generations or (ii) in sporadic presentations if a patient without family history of AD had an age of onset before 51 y. No other exclusion criteria were applied. Familial cases (n = 63 mutation carriers belonging to 53 families, 42% males, mean AOO = 48 ± 5 y) were included in the 2012–2016 interval, whereas sporadic cases (n = 129, 44% males, mean AOO = 45 ± 2 y) were included from 1999 onwards. All patients were from European origin with the exception of five patients from African descent: three familial and two sporadic cases. Cerebrospinal fluid (CSF) AD biomarkers were assessed in 65% of the mutation carriers, and neuropathological examination was performed in 3 mutation carriers. A written consent to participate to the study was signed by every patient.
CSF samples were obtained using a Sprotte needle in polypropylene collection tubes and aliquoted after centrifugation into polypropylene tubes (catalog number 62.610.201; Sarstedt, Nümbrecht, Germany), then frozen at −80°C within 1 h. Aβ42, Tau, and P-Tau measurements were performed using enzyme-linked immunosorbent assays (ELISA) (Fujirebio Europe N.V., Ghent, Belgium) according to the manufacturer’s instructions. The analysis of all biomarkers was performed in two duplicates and averaged for statistical analyses. Following values were used to define biochemical AD signature: Aβ42 < 700 pg/mL; Tau > 350 pg/mL, and P-Tau > 60 pg/mL. Each subject was classified according to the Paris, Lyon, Marseille (PLM) scale : class 0, corresponding to no pathologic biomarkers; class 1, corresponding to 1/3 pathologic biomarkers; class 2, corresponding to 2/3 pathologic biomarkers; and class 3, with all three biomarkers being pathologic.
Genetic analyses were performed on DNA extracted from whole blood. Exons 2–12 of PSEN1 (NM_000021.3), exons 4–13 of PSEN2 (NM_000447.2), and exons 16 and 17 of APP (NM_000484.3) were analysed by Sanger sequencing. APP duplications and PSEN1 exon 9/10 deletion were detected using QMPSF (quantitative multiplex PCR of short fluorescent fragments). APOE genotype was determined for each subject by Sanger sequencing. Primers are available upon request. Guerreiro’s algorithm  and Alzforum (www.alzforum.org/mutations) database were used to classify each mutation’s pathogenicity.
In sporadic cases, when DNA was available for both unaffected parents, parenthood was checked using a package of four microsatellites markers, each with a heterozygosity index from 79 to 88%, and the presence of the mutation identified in the proband was assessed by Sanger sequencing.
Update of the EOAD French series
We identified mutations in 53 previously unreported AD-EOAD families and in 18/129 sporadic cases, including 44 PSEN1, 2 PSEN2, and 20 APP mutations as well as five APP duplications. The total number of mutation carriers including affected relatives in AD-EOAD families was n = 81 patients (Tables 1–4). Overall, 12 PSEN1 mutations and 1 PSEN2 mutation were previously unreported (Tables 1 and 2, in bold). In the next sections, we describe the mutation spectrum, with a particular focus on novel mutations.
Five of the 12 novel PSEN1 mutations were identified in AD-EOAD families: a sister and the mother of the patient carrying the c.251T>C, p.(Met84Thr) mutation were also affected with AD (age at death: 61 and 64 y, respectively); the father of the patient carrying the c.263C>A, p.(Pro88His) mutation died at age 47 with an AD diagnosis; the father of the patient carrying the c.629T>G, p.(Met210Arg) mutation died from AD at age 50, with an AOO of 47 y; the mother and the maternal grandmother of the patient carrying the c.1148T>G, p.(Leu383Trp) mutation died from AD at 54 and 50 y, respectively (AOO was 47 y for both). We also detected in an AD-EOAD family a novel genomic in-frame deletion encompassing PSEN1 exons 9 and 10: c.(868+1_869–1)_(1129+1_1130–1)del, p.Ser290_Arg1129delinsTrp, thereafter named Δ9–10, which resulted in a missense change from serine to tryptophan at the aberrant exon 8–11 junction (Table 1). The remaining 7 novel PSEN1 mutations were found in patients with sporadic EOAD. Among these mutations, a censoring effect was observed in families of patients carrying the c.772T>C, p.(Leu241Arg), the c.539T>A, p.(Ile180Asn), and the c.710T>G, p.(Phe237Cys) substitutions, while the c.331G>T, p.(Gly111Trp), the c.350C>A, p.(Pro117Gln), and the c.614_616del, p.(Phe205_Gly206delinsCys) mutations occurred de novo. The seventh patient carried the c.1078G>A p.(Ala360Thr) variant. No censoring effect was noted in his family, but parental DNA was not available to verify the de novo occurrence of the mutation (Table 1). Among carriers of the PSEN1 mutation, the clinical presentation was mainly isolated progressive cognitive decline, but six patients carrying either the p.(Pro264Leu), p.(Leu173Trp), p.(Gln222His), or the Δ9–10 PSEN1 mutation displayed an associated phenotype of spastic paraparesis. Another patient carrying the PSEN1 p.(Gly378Glu) substitution also exhibited an atypical presentation: cerebellar ataxia and extra pyramidal syndrome.
Only one novel PSEN2 mutation, c.850A>G, p.(Arg284Gly), and a previously known mutation, p.(Thr122Pro), were identified during this screen (Table 2). No atypical phenotype was noticed.
In the APP gene, no novel mutation was found. We identified a previously reported mutation in 25 patients from 20 AD-EOAD families (Table 3). The most frequent one was the c.2149G>A, p.(Val717Ile) substitution, which was present in 12 subjects from 11 families. Clinical features were typical of AD with amnestic presentation. The c.2137G>A, p.(Ala713Thr) mutation was found in 7 patients from 5 unrelated families. They exhibited a progressive cognitive decline starting from age 50 to 66 y. Notably, the mother of a patient who carried the mutation together with an APOE 4–4 genotype had no cognitive impairment until the age of 85, when she presented recurrent lobar hematoma. In addition, 5 subjects from 3 families carried mutations located within the coding sequence of the Aβ peptide: one carried the “Flemish” APP mutation c.2075C>G, p.(Ala692Gly), two carried the “Italian” mutation c.2077G>A, p.(Glu693Lys), and another two carried the “Iowa” mutation c.2080G>A, p.(Asp694Asn). A complete description of the phenotype of these 5 patients is provided in Sellal et al. .
Four subjects in four distinct AD-EOAD families and a sporadic case carried an APP duplication (Table 4). All patients exhibited progressive cognitive impairment. Only one presented signs of CAA and suffered from intracerebral hematoma at the age of 60.
CSF biomarkers were available for 53 out of 81 mutation carriers (65%) (Table 5). There was no significant difference in Aβ42, Tau, and P-Tau mean values between patients bearing PSEN1 and APP mutations or duplications (two groups, p-values = 0.78, 0.19, and 0.16, respectively, Mann–Whitney U test). Among the 53 patients, 46 (87%) were classified PLM 3, 5 (9%) were classified PLM 2, and 2 (4%) were classified PLM 1; no patient was classified PLM 0. Among the 5 patients classified PLM 2, 2 had low Aβ42 and elevated Tau levels, and 3 had elevated Tau and P-Tau with normal Aβ42 CSF level. Two of the latter 3 patients carried a PSEN1 mutation: 1 carried the p.(Leu383Trp) with AOO at 57 y and 4 y of evolution, and the other carried the p.(Ala231Thr) with AOO at 50 y and 3 y of evolution. The third one carried an APP p.(Val717Ile) mutation with an AOO at 56 y and 4 y of evolution. The two patients classified PLM 1 had low Aβ42 value, without Tau or P-Tau elevation. One carried a p.(Ala360Thr) PSEN1 mutation with AOO at 45 y and 3 y of evolution; the second carried a p.(Ala692Gly) APP mutation with AOO at 45 y and 2 y of evolution.
Neuropathological examination was available for three subjects. For patient EXT 773, who carried an APP duplication, the diagnosis was definite AD with Braak stage VI, Thal stage V. There was amyloid deposition in vessel walls in the insula and basal ganglia. Signs of severe CAA were found in middle frontal gyrus, superior temporal gyrus, inferior parietal cortex, and primary motor area. Lewy bodies were found in the amygdala, locus niger, nucleus basalis of Meynert, and entorhinal cortex.
For patient EXT 149, who carried the c.518T>G, p.Leu173Trp de novo PSEN1 mutation, rare senile plaques associated with numerous cotton wool deposits and neurofibrillary tangles were present in hippocampal regions and cortical areas. Lewy bodies were found in the amygdala and limbic cortex as well as the frontal, temporal, and parietal cortices and cingulum. CAA was noted in hippocampal regions, the temporal lobe, and the cerebellum.
For patient EXT 1117, who carried the c.251T>C, p.Met84Thr PSEN1 mutation, neuropathological examination showed global atrophy, particularly in temporal lobes. Samples from the cerebellum and the frontal, temporal, and parietal cortices showed numerous senile plaques and neurofibrillary tangles associated with severe CAA. No Lewy bodies were observed.
Mutational spectrum in the whole French EOAD series
Adding this sample to our previous reports [1,8,9,14,15,19,21–24], a total of 170 AD-EOAD families and 18 sporadic cases carrying mutations in genes known to cause EOAD have now been identified by our national reference center. Ninety distinct mutations (78 PSEN1, 4 PSEN2, and 8 APP, including APP duplication) were represented by respectively 127, 9, 34, and 18 occurrences in this whole sample (S1 Table). For each distinct mutation, the frequency reported in the Exome Aggregation Consortium (ExAC) database , which colligates human exome data from ~60,000 individuals, is null or very low (S1 Table).
The mean AOO for PSEN1 mutation carriers was 44.4 y (range 24–80), 53.9 y (range 45–69) for PSEN2 mutation carriers, 50.9 y (range 39–85) for APP mutation carriers, and 51.1 y (range 41–69) for patients carrying APP duplications. Variation of AOO by mutated gene was similar to the one reported by Ryman et al. (2014) .
Sporadic cases and de novo mutations
Among the 129 patients with a sporadic presentation and an AOO before 51 y for whom a mutation screening was performed, we identified 18 mutations, including 17 PSEN1 mutations and 1 APP duplication (Tables 1 and 4). For 10 patients, DNA of the unaffected parents was available, and analysis of parental DNA showed that the 10 mutations had occurred de novo: 7 patients carried a de novo PSEN1 missense mutation, 1 carried a de novo splicing PSEN1 mutation, 1 carried a de novo PSEN1 indel, and another 1 carried an APP de novo duplication. Interestingly, 5 out of 7 missense de novo PSEN1 mutations occurred at a position already known to be hit by pathogenic mutations. Parental DNA was not available for the remaining PSEN1 mutation carriers, but we noted a strong censoring effect due to a young age at death in two families, and the parents were unknown in three other families. For the remaining 3 patients, the absence of both a censoring effect and AD history in the parents is suggestive of a de novo occurrence, but this could not be proved by parental DNA analysis.
We have studied two samples of EOAD patients and identified 10 novel missense mutations, 1 novel indel, and 1 novel genomic deletion in PSEN1 and 1 novel missense mutation in PSEN2. According to the Guerreiro’s algorithm , pathogenicity was considered as definite for 1 mutation, probable for 9, and possible for 3. Considering the whole French EOAD series, 90 distinct mutations (including the APP duplication) are now reported, and pathogenicity is considered definite for 69 mutations (77%), probable for 16 (18%), and possible for 3 (5%).
The pathological effect of three known mutations deserves discussion because of incomplete penetrance, nonpathogenicity, or wide range of AOO.
The PSEN1 c.236C>T, p.(Ala79Val) substitution is currently considered pathogenic and leads to an increase in Aβ42 level and Aβ42/Aβ40 ratios in cell cultures . However, this variant seems to be associated with a later onset compared to the other PSEN1 variants. It was found in several families with late-onset AD (LOAD) [26,28,29]. Four mutation carriers from one family had a definite, neuropathological diagnosis of AD and an AOO after 75 y . Of note, this variant has been reported once in the ExAC database  (among ~60,000 controls). Considering that it was also found in subjects with EOAD [30,31], these data suggest that this mutation is associated with a large range of AOO (53–78 y), which could lead to underestimation of its frequency and is of importance for genetic counseling.
Second, the PSEN2 c.211T>C, p.(Arg71Trp) variant was initially found in patients with LOAD [12,32,33]. We previously reported this variant in two EOAD families , but we removed it from our complete list because it is now considered as nonpathogenic. It did not segregate with AD in several families , including 8/14 affected individuals not carrying this variant in one large family . It was found with an allele frequency of 0.034% (1.95% in the Finnish population) in the ExAC database. When coexpressed in HEK293 cells with APP, the variant did not alter the Aβ42/Aβ40 ratio in vitro . As previously discussed, these elements lead us to consider this mutation as nonpathogenic .
Third, since our first report in a patient with sporadic probable AD , the APP c.2137 G>A p.(Ala713Thr) mutation has now been found in 24 patients from 11 families [5,35–39], including the 6 patients from 5 families included here. Although cerebrovascular lesions were described in brain imaging of some of these patients [36–38], the clinical presentation was a progressive cognitive decline in all but one of the reported cases. Interestingly, AOO ranged from 49 to 85 y, and several asymptomatic carriers were also reported, including one 88-y-old woman . In one family, the mutation was found homozygous in 3 patients , and the disease onset was not different from the heterozygous carriers. In the present report, the mother of the proband ROU-1562 had no cognitive impairment until the age of 85, when a diagnosis of probable CAA was made. Of note, this variant has been reported with an allele frequency of 0.0058% in the ExAC database. Taken together, this suggests that the p.Ala713Thr substitution is a pathological variant with reduced penetrance, which is unusual compared to other APP mutations and is of main consequence for genetic counseling.
A notable finding of this study, as compared with the state of the literature, is the number (n = 10) of de novo PSEN1 or APP mutations detected in this set of 129 sporadic cases with onset below age 51. Furthermore, this could be underestimated, as parental DNA was not available for all cases. To our knowledge, only four de novo mutations had previously been reported in APP or PSEN1, including three by our group [20,22,23,40]. To our knowledge, there is no evidence to suggest that the PSEN1 gene is a hot spot of de novo mutations. Following the estimations by Samocha and coauthors  provided on the ExAC database , the probability to observe a PSEN1 de novo missense mutation in an individual is 1.29 x 10−5. This probability is that of an average gene since 56% of genes are more mutable and 44% less mutable than PSEN1. Thus, the discrepancy between the low number of previously reported de novo PSEN1 mutations in sporadic EOAD patients and the present report is likely to reflect a lack of inclusion of these patients in previous mutational screenings, which focused on familial cases. This underscores the need to systematically include patients with sporadic presentation and very early AOO in genetic screening. Consequences for genetic counseling are important, as the offspring of a mutation carrier has a same 50% risk to be a mutation carrier regardless of the familial or sporadic presentation of the affected parent; the offspring can then (i) be accurately informed, (ii) ask for a presymptomatic testing, and (iii) be a possible candidate for preventive clinical trials .
Concerning CSF biomarkers, 48/53 (91%) of patients with available CSF exhibit signs of both Aβ and Tau pathology, and 87% of the mutation carriers were classified PLM 3. This is higher than the 76% reported in our previous series . This difference can be explained by the change in the Aβ42 cutoff (<700 versus <500 pg/ml in our previous series) according to the 2013 recommendations of the PLM network, whose aim is to homogenize preanalytical treatment for CSF biomarkers across French centers . Overall, no AD mutation carrier presented with normal CSF biomarkers, suggesting that when all three CSF biomarkers are in normal ranges, genes involved in other neurodegenerative diseases should be screened in the first instance.
Our primary goal was to provide to clinicians a list of variants that can accurately be used in genetic counseling. Considering our whole series, this goal is achieved for 60/78 (77%) of PSEN1, 1/4 of PSEN2, and 8/8 of APP mutations reported in the French population. However, despite a large effort, too many mutations in AD-EOAD genes remain insufficiently characterized, and some are incompletely penetrant. The recent analysis of ~60,000 human exomes by the ExAC consortium has revealed an implausibly high per-individual burden of variants reported as causing disease in databases listing Mendelian disease alleles. These findings cast doubt on the validity of these databases and lead to a reclassification of numerous variants as benign . In this context, it is reassuring to see that all variants reported here have a null or very low frequency in ExAC, which is a strong argument for pathogenicity.
A limitation of this study is the absence of functional assessment of the possibly and probably pathogenic variants, which should help their classification. Moreover, only three genes were analyzed. It is possible that de novo mutations in other genes are also involved in the genetic determinism of sporadic forms. To address this latter issue, the next step is now to perform exome sequencing on negatively screened families and sporadic cases. Indeed, this approach already enabled us to show that (i) rare variations in the SORL1 gene might be responsible of a subset of AD-EOAD families  or at least constitute a penetrant risk factor for familial EOAD  and (ii) a set of genes defining an Aβ-centered genetic network are enriched in de novo mutations in sporadic cases .
Our findings suggest that a nonnegligible fraction of PSEN1 mutations occur de novo. The practical implication for clinicians is to highlight the need to systematically include patients with sporadic presentation and very early AOO in genetic screening for the APP, PSEN1, and PSEN2 genes. In addition, the need to pursue the effort to classify variants should be emphasized since, based on our results, definite pathogenicity is currently established for only 77% of identified mutations in these genes.
The collaborators of the French CNR-MAJ project include Didier Hannequin, Dominique Campion, David Wallon, Olivier Martinaud, Lucie Guyant-Marechal, Annie Laquerriere, Emmanuel Gerardin (Centre Hospitalo Universitaire [CHU], Rouen); Olivier Godefroy, (CHU Amiens); Frederique Etcharry-Bouyx, Valerie Chauvire (CHU Angers); Eric Berger, Eloi Magnin, Ludivine Chamard (CHU Besancon); Sophie Auriacombe, Jean-Francois Dartigues, François Tison (CHU Bordeaux); Vincent de la Sayette, Julien Cogez, Françoise Chapon (CHU Caen); Dominique Castan (CH Castres); Elsa Dionet (CHU Clermont-Ferrand); Francois Sellal (CH Colmar); Claire Thiriez (CHU Créteil); Olivier Rouaud, Christel Thauvin-Robinet (CHU Dijon); Olivier Moreaud, Mathilde Sauvee (CHU Grenoble); Stephanie Bombois, Adeline Rollin-Sillaire, Marie-Anne Mackowiak, Vincent Deramecourt, Thibaud Lebouvier, Jean-Louis Vincent, Florence Pasquier (CHU Lille); Maité Formaglio, Isabelle Roullet-Solignac, Alain Vighetto, Nathalie Streichenberger (CHU Lyon); Helene Mollion, Bernard Croisile (CMRR, CHU Lyon); Mira Didic, Olivier Felician, Lejla Koric, Mathieu Ceccaldi, Andre Maues de Paula (CHU Marseille); Audrey Gabelle, Cecilia Marelli, Pierre Labauge (CHU Montpellier); Thérèse Jonveaux (CHU Nancy); Martine Vercelletto, Claire Boutoleau-Bretonniere, Mathieu Sevin (CHU Nantes); Giovanni Castelnovo (CHU Nimes); Hélène-Marie Lanoiselée, Canan Ozsancak, Marie-Hélène Lemaître, Béatrice Laudier, (CH Orleans), Claire Paquet, Julien Dumurgier, Jacques Hugon (CHU Lariboisiere, Paris); Agnes Michon, Isabelle Le Ber, Bruno Dubois, Stephane Epelbaum, Charles Duyckaerts (CHU La Salpetriere, Paris); Marie Sarazin, Carole Roué-Jagot, Julien Lagarde (CHU St Anne, Paris); Foucauld De Boisgueheneuc, Brigitte Gilbert-Dussardier (CHU Poitiers); Serge Belliard (CHU Rennes); Marie Odile Barrellon (CHU Saint-Etienne); Frederic Blanc, Christine Tranchant, Mathieu Anheim, Beatrice Lannes (CHU Strasbourg); Jérémie Pariente, Marie-Bernadette Delisle (CHU Toulouse); and Caroline Hommet and Karl Mondon (CHU Tours).
- Data curation: HML GN ML DC.
- Funding acquisition: DH DC.
- Investigation: ARL SR ACR MQM JLV FP ARS OM VS CBB FEB VC MSar ILB SE TJ OR MC OF OG MF BC SA LC MSau CMT AG CO JP CP.
- Methodology: GN DW ARL DH DC.
- Software: HML GN DW ML FP ARS OM VS CBB FEB VC MSar ILB SE TJ OR MC OF OG MF BC SA LC MSau CMT AG CO JP CP DH.
- Supervision: DC.
- Writing – original draft: HML GN DC.
- Writing – review & editing: HML GN DW ARL ML SR ACR MQM FP ARS OM VS CBB FEB VC MSar ILB SE TJ OR MC OF OG MF BC SA LC JLV MSau CMT AG CO JP CP DH DC.
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