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. 2019 Jun 18;69(4):953–961. doi: 10.3233/JAD-181285

Associations between Comorbid TDP-43, Lewy Body Pathology, and Neuropsychiatric Symptoms in Alzheimer’s Disease

Ece Bayram a,*, Guogen Shan b, Jeffrey L Cummings a,c
PMCID: PMC6597983  PMID: 31127776

Abstract

 More than half of the patients with Alzheimer’s disease (AD) have comorbidities including TDP-43 and Lewy bodies, which are also associated with frontotemporal lobar degeneration and dementia with Lewy bodies, respectively. These comorbidities may help explain the overlapping neuropsychiatric symptoms between AD and other dementias. Data on 221 AD patients with Neuropsychiatric Inventory-Questionnaire were obtained from the National Alzheimer’s Coordinating Center. TDP-43 was associated with aberrant motor activity, whereas Lewy bodies were associated with anxiety, irritability, sleep behavior, and appetite problems. The associations between these comorbidities and neuropsychiatric symptoms were more significant for patients with sparse diffuse plaques.

Keywords: Alzheimer’s disease, Lewy body, neuropsychiatric symptoms, TDP-43

INTRODUCTION

Current criteria for the pathologic diagnosis of Alzheimer’s disease (AD) recommend assessment and classification based on the presence and distribution of amyloid-β deposits and neurofibrillary pathology [1]. However, more than half of the patients clinically diagnosed with AD have comorbid pathologies in addition to plaque and tangle pathology [2]. These include pathologies shared with other neurodegenerative disorders. For example, 30–57% of individuals with AD pathology have comorbid 43 kDA TAR DNA-binding protein (TDP-43) pathology in the medial temporal lobe, which eventually spreads to occipitotemporal cortex, basal ganglia, and frontal neocortex [3, 4]. Up to 50% of individuals with AD have limbic or neocortical Lewy bodies (LB) [5].

Abnormal TDP-43 accumulation is associated with frontotemporal lobar degeneration (FTLD) and amyotrophic lateral sclerosis [6], whereas LB pathology leads to Parkinson’s disease (with and without dementia) and dementia with Lewy bodies (DLB) [7]. These different dementia types are associated with different neuropsychiatric profiles. Neuropsychiatric symptoms common in AD include mood fluctuations, agitation, apathy, irritability, aberrant motor behavior, and sleep disturbances [8]. FTLD is associated with disinhibition, apathy or inertia, loss of sympathy or empathy, perseverative, stereotyped, or compulsive behavior, hyperorality, and dietary changes [9]. Common neuropsychiatric symptoms of DLB include sleep disturbances, visual hallucinations, depression, and delusions [10]. Although neuropsychiatric phenotypes of AD, FTLD, and DLB differ from one another, many features also overlap.

In this study, we investigated whether comorbid pathologies in AD are associated with FTLD- or DLB-like neuropsychiatric symptoms.

MATERIAL AND METHODS

Study sample

Data were obtained from the National Alzheimer’s Coordinating Center (NACC) Neuropathology Data Set (NP) and The Uniform Data Set (UDS) for visits conducted between September 2005 and September 2017. Detailed descriptions of these datasets can be found elsewhere [11, 12].

Participants: 1) clinically diagnosed as AD, 2) meeting the pathologic criteria for at least intermediate probability of AD from the revised National Institute on Aging- Alzheimer’s Association (NIA-AA) criteria, 3) with pathological assessment for TDP-43 immunoreactive inclusions in the amygdala, 4) with pathological assessment for LB, and 5) evaluated with Neuropsychiatric Inventory-Questionnaire (NPI-Q) [13] were included. Exclusion criteria was a clinician diagnosis of FTLD or DLB as the primary cause of cognitive impairment. In total, 221 participants were included. Dementia severity was assessed by CDR® Dementia Staging Instrument [14].

TDP-43 and LB pathology

In the NP data set, distribution of TDP-43 immunoreactive inclusions are evaluated in the spinal cord, amygdala, hippocampus, entorhinal/inferior temporal cortex, and neocortex. Patients were grouped as TDP-43 positive or negative based on the TDP-43 immunoreactivity within the amygdala as TDP-43 in AD typically appears first in the amygdala [15]. LB pathology is assessed in brainstem, limbic or amygdala, neocortex, the olfactory bulb, and unspecified brain regions. Individuals were considered LB-positive or negative based on limbic or amygdala predominant, or neocortical (diffuse) LB pathology.

Neuropsychiatric assessment

Neuropsychiatric symptoms were evaluated using the NPI-Q, a brief questionnaire assessing the presence and severity of neuropsychiatric symptoms commonly observed in dementia [13]. These symptoms are delusions, hallucinations, agitation, depression, anxiety, euphoria, apathy, disinhibition, irritability, aberrant motor behavior, disturbances of sleep and nighttime behavior, and abnormalities of eating and appetite. Scores for each item are rated by the caregiver from 0 to 3. Non-present symptoms are rated as 0. The severity ranking for each item ranges from 1 to 3 (1 = mild; 2 = moderate; and 3 = severe). Total score ranges from 0 to 36, with higher scores indicating worse symptoms. If a participant had longitudinal NPI-Q data, the assessment closest to time of death was used to better reflect the neuropsychiatric profile closest to the pathology findings.

Statistics

SAS (SAS Institute Inc., Cary, NC) and IBM SPSS 25.0 (Armonk, NY) were used. Comparisons were made between TDP-43 positive and negative, between LB-positive and negative groups using Chi-square and t-tests. Main effects of TDP-43 and LB on NPI-Q scores; interactions of TDP-43 and LB; TDP-43 and diffuse plaque density; and LB and diffuse plaque density were investigated with demographics (age, years of education, gender) and AD pathology stage (Thal phase, Braak stage, CERAD score) as covariates with Bonferroni correction. p < 0.05 was considered statistically significant.

RESULTS

Out of 221 eligible individuals, 121 (54.8%) were TDP-43 positive and 98 (44.3%) were LB-positive. Sixty-four (29.0%) had both TDP-43 and LB; 57 (25.8%) had only TDP-43; 39 (17.6%) had only LB; 61 (27.6%) did not have either pathology. LB was more common in individuals with TDP-43 and vice versa (χ2 = 5.152, p = 0.023) (Fig. 1).

Fig.1.

Fig.1

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a) Percentage of LB pathology in TDP-43 groups, b) Percentage of TDP-43 pathology in LB groups.

Demographics and disease features are summarized in Table 1. NPI-Q scores and statistical results are given in Table 2. The interval between ages during NPI-Q and death (timepoint for pathological assessment) was similar within TDP-43 (TDP-43 positive: 6.06 (2.74) versus TDP-43 negative: 5.73 (2.81); t(219) = –0.875 p = 0.382) and LB groups (LB-positive: 6.09 (2.96) versus LB-negative: 5.76 (2.61); t(219) = –0.873, p = 0.384).

Table 1.

Demographics and disease features

TDP-43 groups LB groups
TDP-43 positive (n = 121) TDP-43 negative (n = 100) Group comparison LB-positive (n = 98) LB-negative (n = 123) Group comparison
Age 76.46 (9.23) 74.24 (10.32) t(219) = –1.689, p = 0.093 73.92 (9.53) 76.68 (9.84) t(219) = 2.104, p = 0.037*
Age at death 82.52 (9.34) 79.97 (10.40) t(219) = –1.919, p = 0.056 80.01 (9.90) 82.45 (9.80) t(219) = 1.828, p = 0.069
Education, years 15.25 (3.21) 15.77 (2.86) t(219) = 1.2256, p = 0.210 16.04 (2.87) 15.04 (3.15) t(219) = –2.434, p = 0.016*
Gender (female %) 55.4 45.0 χ2 = 2.356, p = 0.125 49.0 52.0 χ2 = 0.203, p = 0.652
Handedness (right %) 91.7 94.0 χ2 = 1.715, p = 0.424 93.9 91.9 χ2 = 0.472, p = 0.790
APOE ɛ4 carriers (%) 66.0 57.4 χ2 = 4.357, p = 0.113 71.7 54.0 χ2 = 8.382, p = 0.015*
Hippocampal sclerosis (%) 34.1 10.0 χ2 = 18.212, p = 0.000* 21.6 24.4 χ2 = 1.661, p = 0.646
Thal phase for amyloid plaques (A score) (1/2/3 %) 3.4/18.2/78.5 1.0/38.4/60.6 χ2 = 14.852, p = 0.005* 1.0/17.3/81.6 3.2/35.2/61.5 χ2 = 11.645, p = 0.020*
Braak stage for neurofibrillary degeneration (B score) (3/4/5/6 %) 4.2/5.0/22.5/68.3 1.0/4.0/34.0/61.0 χ2 = 5.178, p = 0.159 1.0/4.1/24.5/70.4 4.1/4.9/30.3/60.7 χ2 = 3.435, p = 0.329
Density of neocortical neuritic plaques (CERAD score) (C score) (1/2/3 %) 2.5/11.6/86.0 3.0/24.2/72.7 χ2 = 6.313, p = 0.043* 1.0/11.2/87.8 4.1/22.1/73.8 χ2 = 6.959 p = 0.031*
Density of diffuse plaques (CERAD semiquantitative score) (1/2/3 %) 1.7/12.8/85.5 2.1/10.6/87.2 χ2 = 0.276, p = 0.871 3.3/12.0/84.8 0.8/11.8/87.4 χ2 = 1.646, p = 0.439
CDR sum of boxes score 6.92 (4.27) 6.03 (3.83) t(219) = –1.610, p = 0.109 6.99 (4.54) 6.14 (3.68) t(219) = –1.542, p = 0.125
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All variables are reported as mean (standard deviation) or percentage where stated. Statistical significance is marked with *.

Table 2.

NPI-Q scores of the groups and statistical results

TDP-43 groups LB groups TDP-43 and LB TDP-43 and diffuse LB and diffuse
TDP-43 positive (n = 116) TDP-43 negative (n = 99) Group comparison LB-positive (n = 102) LB-negative (n = 113) Group comparison interaction plaque density interaction plaque density interaction
NPI-Q total score 3.88 (4.09) 4.06 (4.17) F(1,191) = 24.315, p = 0.213 4.42 (4.64) 3.60 (3.63) F(1,191) = 7.745, p = 0.006* F(1,191) = 0.923, p = 0.338 F(2,191) = 10.446, p = 0.000* F(2,191) = 5.114, p = 0.007*
Symptom presence (%)
  Delusion 9.1 12.0 χ2 = 0.497, p = 0.481 11.2 9.8 χ2 = 0.126, p = 0.722 n/a n/a n/a
  Hallucination 6.6 5.0 χ2 = 0.257, p = 0.612 5.7 6.1 χ2 = 0.018, p = 0.892 n/a n/a n/a
  Agitation 24.0 36.0 χ2 = 3.818, p = 0.051 28.6 30.1 χ2 = 0.060, p = 0.807 n/a n/a n/a
  Depression 32.2 38.0 χ2 = 0.803, p = 0.370 38.8 31.7 χ2 = 1.200, p = 0.273 n/a n/a n/a
  Anxiety 34.7 40.0 χ2 = 0.656, p = 0.418 46.9 29.3 χ2 = 7.298, p = 0.007* n/a n/a n/a
  Euphoria 1.7 3 χ2 = 0.449, p = 0.503 3.1 1.6 χ2 = 0.508, p = 0.476 n/a n/a n/a
  Apathy 35.5 35.0 χ2 = 0.007, p = 0.934 36.7 34.1 χ2 = 0.160, p = 0.689 n/a n/a n/a
  Disinhibition 20.7 22.0 χ2 = 0.059, p = 0.809 25.5 17.9 χ2 = 1.893, p = 0.169 n/a n/a n/a
  Irritability 29.8 41.0 χ2 = 3.051, p = 0.081 31.6 37.4 χ2 = 0.799, p = 0.371 n/a n/a n/a
  Aberrant motor behavior 14.0 12.0 χ2 = 0.202, p = 0.653 13.3 13.0 χ2 = 0.003, p = 0.955 n/a n/a n/a
  Sleep behavior problems 28.1 21.0 χ2 = 1.476, p = 0.224 24.5 25.2 χ2 = 0.015, p = 0.903 n/a n/a n/a
  Appetite 25.6 22.0 χ2 = 0.394, p = 0.530 25.5 22.8 χ2 = 0.226, p = 0.635 n/a n/a n/a
Severity
  Delusion 1.36 (0.51) 1.75 (0.75) F(1,191) = 0.114, p = 0.736 1.64 (0.67) 1.50 (0.67) F(1,191) = 0.022, p = 0.883 F(1,191) = 0.052, p = 0.820 F(2,191) = 0.326, p = 0.723 F(2,191) = 0.326, p = 0.722
  Hallucination 1.38 (0.74) 1.80 (0.84) F(1,191) = 1.955, p = 0.164 1.83 (0.75) 1.29 (0.76) F(1,191) = 1.574, p = 0.211 F(1,191) = 2.767, p = 0.098 F(2,191) = 1.395, p = 0.250 F(2,191) = 1.952, p = 0.145
  Agitation 1.48 (0.69) 1.47 (0.56) F(1,191) = 0.005, p = 0.942 1.32 (0.48) 1.59 (0.69) F(1,191) = 1.472, p = 0.227 F(1,191) = 0.588, p = 0.444 F(2,191) = 1.940, p = 0.147 F(2,191) = 1.675, p = 0.190
  Depression 1.36 (0.67) 1.45 (0.60) F(1,191) = 3.958, p = 0.048* 1.50 (0.68) 1.31 (0.57) F(1,191) = 3.066, p = 0.082 F(1,191) = 0.089, p = 0.766 F(2,191) = 5.491, p = 0.005* F(2,191) = 2.445, p = 0.089
  Anxiety 1.52 (0.71) 1.40 (0.59) F(1,191) = 0.963, p = 0.328 1.48 (0.66) 1.44 (0.65) F(1,191) = 4.121, p = 0.044* F(1,191) = 0.000, p = 0.991 F(2,191) = 5.490, p = 0.005* F(2,191) = 2.304, p = 0.103
  Euphoria 1 (0) 1 (0) F(1,191) = 0.040, p = 0.841 1 (0) 1 (0) F(1,191) = 0.175, p = 0.676 F(1,191) = 0.058, p = 0.810 F(2,191) = 0.053, p = 0.949 F(2,191) = 0.029, p = 0.971
  Apathy 1.65 (0.72) 1.63 (0.69) F(1,191) = 0.931, p = 0.336 1.58 (0.69) 1.69 (0.72) F(1,191) = 10.328, p = 0.002* F(1,191) = 0.833, p = 0.363 F(2,191) = 0.950, p = 0.388 F(2,191) = 6.571, p = 0.002*
  Disinhibition 1.96 (0.74) 1.36 (0.66) F(1,191) = 1.051, p = 0.307 1.80 (0.76) 1.55 (0.74) F(1,191) = 0.634, p = 0.427 F(1,191) = 1.578, p = 0.211 F(2,191) = 1.238, p = 0.292 F(2,191) = 2.426, p = 0.091
  Irritability 1.36 (0.59) 1.46 (0.64) F(1,191) = 1.426, p = 0.234 1.61 (0.72) 1.28 (0.50) F(1,191) = 3.930, p = 0.049* F(1,191) = 0.197, p = 0.658 F(2,191) = 8.457, p = 0.000* F(2,191) = 6.678, p = 0.002*
  Aberrant motor behavior 1.47 (0.72) 1.42 (0.67) F(1,191) = 9.164, p = 003* 1.62 (0.77) 1.31 (0.60) F(1,191) = 002, p = 0.961 F(1,191) = 5.245, p = 0.023* F(2,191) = 6.342, p = 0.002* F(2,191) = 0.493, p = 0.612
  Sleep behavior problems 1.65 (0.69) 1.62 (0.81) F(1,191) = 3.205, p = 0.075 1.83 (0.82) 1.48 (0.63) F(1,191) = 4.543, p = 0.034* F(1,191) = 0.777, p = 0.379 F(2,191) = 4.882, p = 0.009* F(2,191) = 3.017, p = 0.051
  Appetite 1.52 (0.72) 1.41 (0.67) F(1,191) = 0.484, p = 0.487 1.56 (0.77) 1.39 (0.63) F(1,191) = 4.278, p = 0.040* F(1,191) = 0.923, p = 0.338 F(2,191) = 9.635, p = 0.000* F(2,191) = 2.556, p = 0.080
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All variables are reported as mean (standard deviation) or percentage where stated. Statistical significance is marked with *. n/a, not applicable; multivariate analysis of covariance was only run for quantitative variables.

TDP-43 group comparisons

The TDP-43 positive group had a higher frequency of hippocampal sclerosis, more advanced Thal phase and CERAD score. Symptom presence or total NPI-Q score did not significantly differ. Depression was more severe in the TDP-43 negative; aberrant motor behavior was more severe in the TDP-43 positive group.

LB group comparisons

The LB-positive group was younger and more educated. The LB-positive group had a higher frequency of APOE ɛ4 carriers, more advanced Thal phase and CERAD score. Anxiety was more frequent in the LB-positive group. Apathy was more severe in the LB-negative; total NPI-Q score was higher and anxiety, irritability, sleep behavior, and appetite problems were more severe in the LB-positive group.

Interactions between TDP-43, LB, and diffuse plaque density

Significant interactions are depicted in Supplementary Figure 1. TDP-43 and LB had an interaction for aberrant motor behavior. LB pathology was associated with more severe aberrant motor behavior within the TDP-43 negative group.

TDP-43 and diffuse plaque density had interactions for total NPI-Q score, depression, anxiety, irritability, aberrant motor behavior, sleep behavior, and appetite problems. TDP-43 pathology was associated with higher total NPI-Q score, depression, anxiety, irritability, aberrant motor behavior, sleep behavior, and appetite problem severity for patients with sparse diffuse plaques, and lower scores for patients with moderate plaques.

LB and diffuse plaque density had interactions for total NPI-Q score, apathy, and irritability. LB pathology was associated with increased total NPI-Q scores; the increase was greatest for patients with sparse diffuse plaques and least for individuals with frequent diffuse plaques. LB pathology was associated with increased apathy severity for patients with sparse diffuse plaques; and increased irritability severity for patients with sparse and moderate diffuse plaques.

DISCUSSION

In this study, we investigated whether TDP-43 and LB in AD are associated with specific neuropsychiatric symptoms. TDP-43 was associated with increased severity of aberrant motor behavior; while LB was associated with increased anxiety, irritability, sleep behavior, and appetite problems. For the TDP-43 negative group, LB positivity was associated with more severe aberrant motor behavior. Both TDP and LB had several interactions with diffuse plaques, with more apparent deterioration associated with TDP-43 and LB observed in individuals with sparse diffuse plaques.

More common TDP-43 pathology in the LB-positive group (and vice versa), as well as more advanced amyloid deposition in both TDP-43 and LB-positive groups compared to their negative counterparts suggest that comorbidities are more common in more advanced AD. This is not surprising, as amyloid has been shown to promote both LB and TDP-43 pathology in AD [16, 17]. The different hippocampal sclerosis frequency between the TDP-43 groups was also expected, as hippocampal sclerosis is the most significant predictor of comorbid TDP-43 pathology in AD [18]. Significant differences between the LB groups included age and APOE ɛ4 status. Similar to a previous study [19], the LB-positive group was younger although they had more advanced amyloid deposition. Additionally, having at least one APOE ɛ4 allele was more frequent in the LB-positive group. Considering that APOE ɛ4 is associated with AD onset at a younger age [20], age differences between the LB groups may be due to higher frequency of APOE ɛ4 carriers in the LB-positive group.

TDP-43 follows a distinct spread pattern in AD compared to that observed in FTLD [15], which may explain why it does not appear to produce FTLD-like neuropsychiatric symptoms in AD. Our findings are consistent with studies reporting that TDP-43 in AD does not affect the total NPI score [21] or neuropsychiatric symptom occurrence [22]. However, TDP positivity was associated with more severe aberrant motor behavior, and less severe depression. Similar results have been shown in FTLD patients compared to AD, with more severe apathy and disinhibition in FTLD [23]. Although our TDP-43 positive group did not exhibit a complete FTLD-like profile, more severe aberrant motor activity and less severe depression suggest a potential TDP-43 effect in AD.

The association between comorbid LB and neuropsychiatric symptoms in AD have been inconsistent with some reporting increased delusions, hallucinations, depression, confusion, and motor disturbances in LB-positive AD [19, 24, 25], and some reporting no differences between LB-positive and negative AD [26–28]. Compared to AD, higher NPI total, delusions, hallucinations, anxiety, aberrant motor behavior, sleep behavior, and appetite problem scores in DLB have been shown [29]. Our findings were similar, suggesting a partially DLB-like profile in LB-positive AD. Both frequency and severity of anxiety was increased in the LB-positive group, in line with studies showing that anxiety is more common in DLB than AD [30, 31]. However, as delusions and hallucinations are important aspects of DLB [32], the lack of delusion and hallucination differences prevent the full scope of DLB-like profile to be associated with LB comorbidity in AD in our study.

There were also several interactions between TDP-43, LB, and diffuse plaques. LB was related to more severe aberrant motor behavior without TDP-43 positivity, supporting previous reports on more severe aberrant motor activity in DLB compared to AD [29]. TDP-43 pathology was associated with increased severity of multiple symptoms in AD patients with sparse diffuse plaques; and decreased severities in patients with moderate diffuse plaques. LB pathology was associated with increased NPI-Q total score as well as apathy, and irritability severity especially in AD patients with sparse diffuse plaques. This association decreased as diffuse plaque frequency increased. These patterns of interaction suggest that effects of comorbid pathologies in AD may be more pronounced in the earlier stages.

Compared to the 1997 NIA-Reagan neuropathologic criteria [33], the sensitivity of clinical AD diagnosis ranges from 70.9 to 87.3%, while the specificity is 44.3–70.8% [34]. Primary pathologies in misdiagnosis are tauopathy, cerebrovascular disease, LB, and hippocampal sclerosis. Utilizing neuropathologic criteria for the accurate diagnosis may help determine the mechanisms behind clinical symptomatology better. Multisite studies with pathological data such as NACC allow for the assessment of a large number of patients with neuropathologically confirmed AD diagnosis, while earlier studies relied on clinical diagnosis or small numbers of individuals with neuropathologically confirmed AD. Nevertheless, evaluation for TDP-43 pathology was only recently included in the NACC, which restricted our sample size. In AD, focal amygdala involvement represents a very early stage of TDP-43 pathology [4]. Involvement of multiple regions may be associated with more neuropsychiatric symptoms, leading to different neuropsychiatric profiles for advanced TDP-43 stages. Although our sample size was not small, it was not large enough to allow stratification by dementia stage, TDP-43, or LB location. Additionally, the majority of the patients did not exhibit symptoms on the NPI-Q. Future studies may benefit from assessing the effects of comorbid pathologies in a bigger sample with longitudinal visits.

Although the interval between age when the NPI-Q was assessed and age at death was not different between the groups, the interval was around six years, which is a long gap to represent the accompanying pathology during the time of NPI-Q. Evaluation closer to death can yield more reliable results. Future studies may also benefit from using NPI, or other scales for more detailed assessment of neuropsychiatric symptoms, as the NPI-Q is a brief scale.

In conclusion, TDP-43 and LB comorbidities are partially associated with common FTLD- or DLB-like neuropsychiatric symptoms. Although both comorbidities are associated with advanced amyloid deposition, their neuropsychiatric effects may be more pronounced in the earlier stages of AD. Elucidating the pathophysiology can help establish new and more efficient treatment targets for AD-related neuropsychiatric symptoms.

Supplementary Material

Supplementary Figure
Click here for additional data file. (314.7KB, docx)

ACKNOWLEDGMENTS

The NACC database is funded by NIA/NIH Grant U01 AG016976. NACC data are contributed by the NIA-funded ADCs: P30 AG019610 (PI Eric Reiman, MD), P30 AG013846 (PI Neil Kowall, MD), P50 AG008702 (PI Scott Small, MD), P50 AG025688 (PI Allan Levey, MD, PhD), P50 AG047266 (PI Todd Golde, MD, PhD), P30 AG010133 (PI Andrew Saykin, PsyD), P50 AG005146 (PI Marilyn Albert, PhD), P50 AG005134 (PI Bradley Hyman, MD, PhD), P50 AG016574 (PI Ronald Petersen, MD, PhD), P50 AG005138 (PI Mary Sano, PhD), P30 AG008051 (PI Thomas Wisniewski, MD), P30 AG013854 (PI M. Marsel Mesulam, MD), P30 AG008017 (PI Jeffrey Kaye, MD), P30 AG010161 (PI David Bennett, MD), P50 AG047366 (PI Victor Henderson, MD, MS), P30 AG010129 (PI Charles DeCarli, MD), P50 AG016573 (PI Frank LaFerla, PhD), P50 AG005131 (PI James Brewer, MD, PhD), P50 AG023501 (PI Bruce Miller, MD), P30 AG035982 (PI Russell Swerdlow, MD), P30 AG028383 (PI Linda Van Eldik, PhD), P30 AG053760 (PI Henry Paulson, MD, PhD), P30 AG010124 (PI John Trojanowski, MD, PhD), P50 AG005133 (PI Oscar Lopez, MD), P50 AG005142 (PI Helena Chui, MD), P30 AG012300 (PI Roger Rosenberg, MD), P30 AG049638 (PI Suzanne Craft, PhD), P50 AG005136 (PI Thomas Grabowski, MD), P50 AG033514 (PI Sanjay Asthana, MD, FRCP), P50 AG005681 (PI John Morris, MD), P50 AG047270 (PI Stephen Strittmatter, MD, PhD).

Authors’ disclosures available online (https://www.j-alz.com/manuscript-disclosures/18-1285r1).

SUPPLEMENTARY MATERIAL

The supplementary material is available in the electronic version of this article: http://dx.doi.org/10.3233/JAD-181285.

REFERENCES

  • [1]. Hyman BT, Phelps CH, Beach TG, Bigio EH, Cairns NJ, Carrillo MC, Dickson DW, Duyckaerts C, Frosch MP, Masliah E, Mirra SS, Nelson PT, Schneider JA, Thal DR, Thies B, Trojanowski JQ, Vinters H V, Montine TJ (2012) National Institute on Aging – Alzheimer’s Association guidelines for the neuropathologic assessment of Alzheimer’s disease. Alzheimers Dement 8, 1–13. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [2]. Rabinovici GD, Carrillo MC, Forman M, DeSanti S, Miller DS, Kozauer N, Petersen RC, Randolph C, Knopman DS, Smith EE, Isaac M, Mattsson N, Bain LJ, Hendrix JA, Sims JR (2017) Multiple comorbid neuropathologies in the setting of Alzheimer’s disease neuropathology and implications for drug development. Alzheimers Dement (N Y) 3, 83–91. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [3]. Amador-Ortiz C, Lin WL, Ahmed Z, Personett D, Davies P, Duara R, Graff-Radford NR, Hutton ML, Dickson DW (2007) TDP-43 immunoreactivity in hippocampal sclerosis and Alzheimer’s disease. Ann Neurol 61, 435–445. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [4]. Josephs KA, Murray ME, Whitwell JL, Parisi JE, Petrucelli L, Jack CR, Petersen RC, Dickson DW (2014) Staging TDP-43 pathology in Alzheimer’s disease. Acta Neuropathol 127, 441–450. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [5]. Hamilton RL (2006) Lewy bodies in Alzheimer’s disease: A neuropathological review of 145 cases using α-synuclein immunohistochemistry. Brain Pathol 10, 378–384. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [6]. Neumann M, Sampathu DM, Kwong LK, Truax AC, Micsenyi MC, Chou TT, Bruce J, Schuck T, Grossman M, Clark CM, McCluskey LF, Miller BL, Masliah E, Mackenzie IR, Feldman H, Feiden W, Kretzschmar HA, Trojanowski JQ, Lee VM-Y (2006) Ubiquitinated TDP-43 in frontotemporal lobar degeneration and amyotrophic lateral sclerosis. Science 314, 130–133. [DOI] [PubMed] [Google Scholar]
  • [7]. McKeith IG, Galasko D, Kosaka K, Perry EK, Dickson DW, Hansen LA, Salmon DP, Lowe J, Mirra SS, Byrne EJ, Lennox G, Quinn NP, Edwardson JA, Ince PG, Bergeron C, Burns A, Miller BL, Lovestone S, Collerton D, Jansen ENH, Ballard C, de Vos RAI, Wilcock GK, Jellinger KA, Perry RH (1996) Consensus guidelines for the clinical and pathologic diagnosis of dementia with Lewy bodies (DLB). Neurology 47, 1113–1124. [DOI] [PubMed] [Google Scholar]
  • [8]. McKhann G, Knopman DS, Chertkow H, Hymann B, Jack CR, Kawas C, Klunk W, Koroshetz W, Manly J, Mayeux R, Mohs R, Morris J, Rossor M, Scheltens P, Carrillo M, Weintrub S, Phelphs C (2011) The diagnosis of dementia due to Alzheimer’s disease: Recommendations from the National Institute on Aging- Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease. Alzheimers Dement 7, 263–269. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [9]. Rascovsky K, Hodges JR, Knopman D, Mendez MF, Kramer JH, Neuhaus J, Van Swieten JC, Seelaar H, Dopper EGP, Onyike CU, Hillis AE, Josephs KA, Boeve BF, Kertesz A, Seeley WW, Rankin KP, Johnson JK, Gorno-Tempini ML, Rosen H, Prioleau-Latham CE, Lee A, Kipps CM, Lillo P, Piguet O, Rohrer JD, Rossor MN, Warren JD, Fox NC, Galasko D, Salmon DP, Black SE, Mesulam M, Weintraub S, Dickerson BC, Diehl-Schmid J, Pasquier F, Deramecourt V, Lebert F, Pijnenburg Y, Chow TW, Manes F, Grafman J, Cappa SF, Freedman M, Grossman M, Miller BL (2011) Sensitivity of revised diagnostic criteria for the behavioural variant of frontotemporal dementia. Brain 134, 2456–2477. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [10]. Donaghy PC, McKeith IG (2014) The clinical characteristics of dementia with Lewy bodies and a consideration of prodromal diagnosis. Alzheimers Res Ther 6, 46. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [11]. Morris JC, Weintraub S, Chui HC, Cummings J, DeCarli C, Ferris S, Foster NL, Galasko D, Graff-Radford N, Peskind ER, Beekly D, Ramos EM, Kukull WA (2006) The Uniform Data Set (UDS): Clinical and cognitive variables and descriptive data from Alzheimer disease centers. Alzheimer Dis Assoc Disord 20, 210–216. [DOI] [PubMed] [Google Scholar]
  • [12]. Beekly DL, Ramos EM, van Belle G, Deitrich W, Clark AD, Jacka ME, Kukull WA (2004) The National Alzheimer’s Coordinating Center (NACC) Database: An Alzheimer disease database. Alzheimer Dis Assoc Disord 18, 270–277. [PubMed] [Google Scholar]
  • [13]. Kaufer DI, Cummings JL, Ketchel P, Smith V, MacMillan A, Shelley T, Lopez OL, DeKosky ST (2000) Validation of the NPI-Q, a brief clinical form of the Neuropsychiatric Inventory. J Neuropsychiatry Clin Neurosci 12, 233–239. [DOI] [PubMed] [Google Scholar]
  • [14]. O’Bryant SE (2008) Staging dementia using Clinical Dementia Rating Scale Sum of Boxes scores. Arch Neurol 65, 1091. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [15]. Josephs KA, Murray ME, Whitwell JL, Tosakulwong N, Weigand SD, Petrucelli L, Liesinger AM, Petersen RC, Parisi JE, Dickson DW (2016) Updated TDP-43 in Alzheimer’s disease staging scheme. Acta Neuropathol 131, 571–585. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [16]. Herman AM, Khandelwal PJ, Stanczyk BB, Rebeck GW, Moussa CE-H (2011) β-amyloid triggers ALS-associated TDP-43 pathology in AD models. Brain Res 1386, 191–199. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [17]. Lin C-L, Cheng Y-S, Li H-H, Chiu P-Y, Chang Y-T, Ho Y-J, Lai T-J (2016) Amyloid-β suppresses AMP-activated protein kinase (AMPK) signaling and contributes to α-synuclein-induced cytotoxicity. Exp Neurol 275, 84–98. [DOI] [PubMed] [Google Scholar]
  • [18]. Dickson DW, Baker M, Rademakers R (2010) Common variant in GRN is a genetic risk factor for hippocampal sclerosis in the elderly. Neurodegener Dis 7, 170–174. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [19]. Chung EJ, Babulal GM, Monsell SE, Cairns NJ, Roe CM, Morris JC (2015) Clinical features of Alzheimer disease with and without Lewy bodies. JAMA Neurol 72, 789–796. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [20]. Chapman J, Korczyn AD, Karussis DM, Michaelson DM (2001) The effects of APOE genotype on age at onset and progression of neurodegenerative diseases. Neurology 57, 1482–1485. [DOI] [PubMed] [Google Scholar]
  • [21]. Josephs KA, Whitwell JL, Weigand SD, Murray ME, Tosakulwong N, Liesinger AM, Petrucelli L, Senjem ML, Knopman DS, Boeve BF, Ivnik RJ, Smith GE, Jack CR, Parisi JE, Petersen RC, Dickson DW (2014) TDP-43 is a key player in the clinical features associated with Alzheimer’s disease. Acta Neuropathol 127, 811–824. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [22]. Jung Y, Dickson DW, Murray ME, Whitwell JL, Knopman DS, Boeve BF, Jack CR, Parisi JE, Petersen RC, Josephs KA (2014) TDP-43 in Alzheimer’s disease is not associated with clinical FTLD or Parkinsonism. J Neurol 261, 1344–1348. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [23]. Levy ML, Miller BL, Cummings JL, Fairbanks LA, Craig A (1996) Alzheimer disease and frontotemporal dementias. Behavioral distinctions. Arch Neurol 53, 687–90. [DOI] [PubMed] [Google Scholar]
  • [24]. Lopez OL, Wisniewski S, Hamilton RL, Becker JT, Kaufer DI, DeKosky ST (2000) Predictors of progression in patients with AD and Lewy bodies. Neurology 54, 1774–1779. [DOI] [PubMed] [Google Scholar]
  • [25]. Weiner MF, Risser RC, Cullum CM, Honig L, White C, Speciale S, Rosenberg RN (1996) Alzheimer’s disease and its Lewy body variant: A clinical analysis of postmortem verified cases. Am J Psychiatry 153, 1269–1273. [DOI] [PubMed] [Google Scholar]
  • [26]. Heyman A, Fillenbaum GG, Gearing M, Mirra SS, Welsh-Bohmer KA, Peterson B, Pieper C, Sarazin M, Wegesin D, Marder K, Bell K, Honig L, Stern Y (1999) Comparison of Lewy body variant of Alzheimer’s disease with pure Alzheimer’s disease: Consortium to Establish a Registry for Alzheimer’s Disease, Part XIX. Neurology 52, 1839–1844. [DOI] [PubMed] [Google Scholar]
  • [27]. Forstl H, Burns A, Luthert P, Cairns N, Levy R (1993) The Lewy-body variant of Alzheimer’s disease. Clinical and pathological findings. Br J Psychiatry 162, 385–392. [DOI] [PubMed] [Google Scholar]
  • [28]. Stern Y, Jacobs D, Goldman J, Gomez-Tortosa E, Hyman BT, Liu Y, Troncoso J, Marder K, Tang MX, Brandt J, Albert M (2001) An investigation of clinical correlates of Lewy bodies in autopsy-proven Alzheimer disease. Arch Neurol 58, 460–465. [DOI] [PubMed] [Google Scholar]
  • [29]. Chiu P-Y, Tsai C-T, Chen P-K, Chen W-J, Lai T-J (2016) Neuropsychiatric symptoms in Parkinson’s disease dementia are more similar to Alzheimer’s disease than dementia with Lewy bodies: A case-control study. PLoS One 11, e0153989. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [30]. Ricci M, Guidoni SV, Sepe-Monti M, Bomboi G, Antonini G, Blundo C, Giubilei F (2009) Clinical findings, functional abilities and caregiver distress in the early stage of dementia with Lewy bodies (DLB) and Alzheimer’s disease (AD). Arch Gerontol Geriatr 49, e101–4. [DOI] [PubMed] [Google Scholar]
  • [31]. Hynninen MJ, Breitve MH, Rongve A, Aarsland D, Nordhus IH (2012) The frequency and correlates of anxiety in patients with first-time diagnosed mild dementia. Int Psychogeriatrics 24, 1771–1778. [DOI] [PubMed] [Google Scholar]
  • [32]. López-Pousa S, Vilalta-Franch J, Garre-Olmo J, Pons S, Cucurella MG (2007) Characterisation and prevalence of the psychological and behavioural symptoms in patients with dementia [Caracterización y prevalencia de los síntomas psicológicos y conductuales en pacientes con demencia]. Rev Neurol 45, 683–688. [PubMed] [Google Scholar]
  • [33]. Consensus recommendations for the postmortem diagnosis of Alzheimer’s disease (1997) . The National Institute on Aging, and Reagan Institute Working Group on Diagnostic Criteria for the Neuropathological Assessment of Alzheimer’s Disease. Neurobiol Aging 18(4 Suppl), S1–2. [PubMed] [Google Scholar]
  • [34]. Beach TG, Monsell SE, Phillips LE, Kukull W (2012) Accuracy of the clinical diagnosis of Alzheimer disease at National Institute on Aging Alzheimer Disease Centers, 2005-2010. J Neuropathol Exp Neurol 71, 266–273. [DOI] [PMC free article] [PubMed] [Google Scholar]

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