Literature DB >> 26091809

Incidence and extent of TDP-43 accumulation in aging human brain.

Akiko Uchino1,2, Masaki Takao3,4, Hiroyuki Hatsuta5, Hiroyuki Sumikura6, Yuta Nakano7, Akane Nogami8, Yuko Saito9, Tomio Arai10, Kazutoshi Nishiyama11, Shigeo Murayama12,13.   

Abstract

INTRODUCTION: The transactivation response element DNA-binding protein 43 kDa (TDP-43) is a major component of the ubiquitin-positive and tau-negative inclusions in frontotemporal lobar degeneration and sporadic amyotrophic lateral sclerosis (ALS). TDP-43 may accumulate in cases of Alzheimer's disease (AD), Lewy body disease (LBD), and argyrophilic grain disease (AGD). However, few studies have focused on the incidence and extent of TDP-43 deposition in aging.
RESULTS: We analyzed 286 consecutive autopsy brains neuropathologically. Of these, 136 brains with pathologically minimal senile changes were designated as control elderly brains (78.5 ± 9.7 y). For comparison, we selected 29 AD, 11 LBD, and 11 AGD patients from this series of autopsy brains. Sections of the hippocampus, amygdala, medulla oblongata, and lumbar spinal cord were immunostained with anti-phosphorylated TDP-43 antibody (PSer409/410). TDP-43 immunoreactive structures were classified into four types: dystrophic neurites (DNs), neuronal or glial cytoplasmic inclusions, and intranuclear inclusions. TDP-43 immunoreactive structures were observed in 55/136 control elderly (40.0%), 21/29 AD (72.4%), 8/11 LBD (72.7%), and 6/11 AGD (54.5%) brains. TDP-43 immunoreactive structures in control elderly brains were mostly DNs. These DNs were predominantly present in the uncus of the anterior hippocampus over age 65. The frequency of cases with DNs in the amygdala of control elderly brains was less than that of AD, LBD, and AGD brains. The mean age at death was significantly higher in cases with TDP-43 immunoreactive structures than cases without them.
CONCLUSIONS: In conclusion, TDP-43 immunoreactive DNs may develop as a consequence of aging processes in the human brain. In particular, the uncus of the anterior hippocampus is an area highly susceptible to TDP-43 accumulation over age 65.

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Year:  2015        PMID: 26091809      PMCID: PMC4473839          DOI: 10.1186/s40478-015-0215-1

Source DB:  PubMed          Journal:  Acta Neuropathol Commun        ISSN: 2051-5960            Impact factor:   7.801


Introduction

The transactivation response element DNA-binding protein 43 kDa (TDP-43) is a major component of the ubiquitin-positive and tau-negative inclusions in frontotemporal lobar degeneration (FTLD-TDP) and sporadic amyotrophic lateral sclerosis (ALS) [1-3]. However, the cytopathology and distribution pattern of TDP-43 immunoreactive deposits generally differ between FTLD-TDP and ALS [3, 4]. Previous studies have indicated that TDP-43 immunoreactive inclusion bodies can be detected in other neurodegenerative disorders as well, including Alzheimer’s disease (AD) [5-9], Lewy body disease (LBD) [6, 8, 10], and argyrophilic grain disease (AGD) [11]. Furthermore, several studies have focused on TDP-43 deposition in the absence of neurodegenerative disorders [10, 12–14]. One such study demonstrated that TDP-43 deposition increased with age and did not occur in individuals younger than 65 years [12]. Another study indicated that the incidence of TDP-43 deposition in the amygdala and hippocampus of cognitively normal elderly individuals was 36 % [14]. These previous studies suggest that TDP-43 deposition may be associated not only with specific neurodegenerative disorders but also with aging and specific anatomical areas. To further analyze the functional role of TDP-43, it will be important to understand the anatomical distribution of TDP-43 immunoreactive deposits in a large number of elderly individuals with neuropathologically minimal changes. The aim of this study was to clarify the incidence and distribution of TDP-43 deposition in control elderly brains by immunohistochemical analysis of a series of autopsied individuals. We also analyzed TDP-43 immunoreactive deposits in individuals with AD, LBD, and AGD for comparison.

Materials and methods

Brain samples

Tissue samples were collected at the Tokyo Metropolitan Geriatric Hospital, which provides community-based medical service to the elderly population. From February 2008 to July 2012, we obtained the 286 consecutive autopsy brains (165 men and 121 women) used for this study. Patient ages ranged from 43 to 104 years (mean ± SD, 82.0 ± 9.6 y). Clinical information was retrospectively obtained from the medical chart. The Mini-Mental State examination (MMSE) [15] was used for evaluation of cognitive function, and the clinical dementia scale (CDR) [16] was employed for the grading of cognitive decline as previously reported [17]. The brain samples used in this study were registered to the Brain Bank for Aging Research (BBAR) with the deceased’s relatives’ informed consent to carry out comprehensive research. The BBAR is approved by the ethics committee of the Tokyo Metropolitan Geriatric Hospital and Institute of Gerontology.

Neuropathology and immunohistochemistry

The brains and spinal cords were examined according to routine protocols used in our laboratory [18]. Briefly, the cerebral and cerebellar hemispheres as well as the brainstem were dissected in the midsagittal plane at the time of autopsy. In each case, part of the brain was stored at −80 °C for further biochemical and molecular analyses. The brains and spinal cords were fixed in 20 % buffered formalin (WAKO, Osaka, Japan) for 7–13 days. After fixation in formalin, the cerebral hemispheres, brainstem, and cerebellum were dissected along the coronal, axial, and sagittal planes, respectively. Representative anatomical areas were embedded in paraffin, and 6-μm-thick sections were obtained to diagnose each case neuropathologically. Sections were stained with hematoxylin and eosin (H&E) and the Klüver-Barrera methods. Selected sections were further examined with modified methenamine and Gallyas–Braak silver staining for senile changes, Congo red for amyloid deposition, and Elastica Masson trichrome stain for vascular changes. Selected sections were immunostained with a Ventana BenchMark GX autostainer (Ventana Medical Systems, Tucson, AZ, USA) and an I-View Universal DAB Detection Kit (Roche, Basel, Switzerland) in accordance with the manufacturer’s instructions. The antibodies employed are shown in Table 1. Histologic sections were observed under a research microscope (Eclipse 90i; Nikon, Tokyo, Japan).
Table 1

Antibodies used for immunohistochemistry

AntibodyTypeDilutionSource
Pser409/410m1:10000A gift from M. Hasegawa, Japan
(phosphorylated TDP-43)
anti-human amyloid βm1:50IBL, Maebashi, Gunma, Japan
(11–28) (12B2)
AT8m1:1000Innogenetics, Ghent, Belgium
(phosphorylated tau)
Psyn64m1:10000A gift from T. Iwatsubo, Japan
(phosphorylated α-synuclein)
ubiquitinr1:1000Dako, Glostrup, Denmark

m, mouse monoclonal; r, rabbit polyclonal

Antibodies used for immunohistochemistry m, mouse monoclonal; r, rabbit polyclonal

Case selection

The case selection procedure in this study is shown in Fig. 1. First, of the 286 consecutive autopsy cases, we selected cases that met all of the following conditions and defined them as control elderly cases that have minimal senile neuropathologic changes: Braak’s neurofibrillary tangle (NFT) stage II or less, senile plaque (SP) stage [19] A or less, AGD stage [17] II or less, and Lewy body stage [20] II or less. For comparison, we selected cases with AGD stage III as AGD and those with Lewy body stage above III as LBD. We also defined AD according to our brain bank definition (Braak NFT stage above IV and Braak’s SP stage C) [21].
Fig. 1

Case selection procedure. NFT, neurofibrillary tangle; SP, senile plaque; AGD, argyrophilic grain disease; LB, Lewy body; AD, Alzheimer’s disease; LBD, Lewy body disease (Parkinson’s disease and dementia with Lewy bodies); PSP, progressive supranuclear palsy; HS, hippocampal sclerosis; NFTD, NFT-predominant form of senile dementia; CJD, Creutzfeldt–Jakob disease; ALS, amyotrophic lateral sclerosis; MSA, multiple system atrophy; SCA, spinocerebellar ataxia; DRPLA, dentatorubral-pallidoluysian atrophy; CBD, corticobasal degeneration; FTLD, frontotemporal lobar degeneration; MELAS, mitochondrial encephalopathy with lactic acidosis and stroke-like episodes; NFTC, NFT-predominant change; ADC, AD-type change; PSC, plaque dominant senile change

Case selection procedure. NFT, neurofibrillary tangle; SP, senile plaque; AGD, argyrophilic grain disease; LB, Lewy body; AD, Alzheimer’s disease; LBD, Lewy body disease (Parkinson’s disease and dementia with Lewy bodies); PSP, progressive supranuclear palsy; HS, hippocampal sclerosis; NFTD, NFT-predominant form of senile dementia; CJD, Creutzfeldt–Jakob disease; ALS, amyotrophic lateral sclerosis; MSA, multiple system atrophy; SCA, spinocerebellar ataxia; DRPLA, dentatorubral-pallidoluysian atrophy; CBD, corticobasal degeneration; FTLD, frontotemporal lobar degeneration; MELAS, mitochondrial encephalopathy with lactic acidosis and stroke-like episodes; NFTC, NFT-predominant change; ADC, AD-type change; PSC, plaque dominant senile change As to the cases with comorbid pathologies and other neurological disorders, we also provided the results of TDP-43 pathology. However, they were not used for comparison with control elderly cases because they were limited in number: AD plus LBD (n = 6), AD plus AGD (n = 3), AD plus progressive supranuclear palsy (PSP) [22] (n = 1), AD plus hippocampal sclerosis (HS) (n = 1), LBD plus AGD (n = 1), LBD plus PSP (n = 1), AGD plus HS (n = 1), senile dementia with tangles (NFTD) (n = 6) [23], Creutzfeldt–Jakob disease (CJD) (n = 4), ALS/ALS with dementia (n = 4), multiple system atrophy (MSA) (n = 3), spinocerebellar ataxia type 6 (SCA6) (n = 2), spinocerebellar ataxia type 3 (SCA3) (n = 1), PSP (n = 2), HS (n = 2), dentatorubral–pallidoluysian atrophy (DRPLA) (n = 1), corticobasal degeneration (CBD) (n = 1), FTLD-TDP (n = 1), and mitochondrial encephalopathy with lactic acidosis and stroke-like episodes (MELAS) (n = 1). Of the remaining cases, we identified the followings as intermediate pathologies that did not fulfill diagnostic criteria: Braak NFT stage above III and Braak’s SP stage A as neurofibrillary tangle-predominant change (NFTC, n = 27), Braak NFT stage above III and Braak’s SP stage above B as AD type change (ADC, n = 18), and Braak NFT stage II or less and Braak’s SP stage above B as plaque dominant senile change (PSC, n = 12).

Evaluation of severity and distribution of TDP-43 immunoreactivity

The presence and severity of TDP-43 immunoreactive structures were assessed in four brain sections including the anterior hippocampus, amygdala, medulla oblongata, and lumbar spinal cord. In fact, the anterior hippocampus is key anatomical structures of FTLD-TDP. In addition, TDP-43 immunoreactive deposits have been well analyzed in AD, DLB and AGD in the limbic regions [5, 6, 8–11]. The medulla oblongata and spinal cord are important areas in association with ALS with TDP-43 [4]. Therefore, we considered that those four areas are appropriate for the study about TDP-43 pathology in control elderly brains. We assessed TDP-43 immunoreactive structures in each anatomical region shown in Table 2 and Fig. 2 under a 10× objective. Each anatomical region was identified using the neuroanatomy atlas [24]. The uncus was identified and analyzed at the level of amygdala and anterior hippocampus [25]. Neuronal cytoplasmic inclusions (NCIs), glial cytoplasmic inclusions (GCIs), and neuronal intranuclear inclusions (NIIs) immunoreactive for TDP-43 were quantitatively analyzed and scored as 0 to 3 depending on the total number of TDP-43 immunoreactive NCIs, GCIs, or NIIs: 0, none; 1, 1–3; 2, 4–9; and 3, ≥10. TDP-43 immunoreactive dystrophic neurites (DNs) were semi-quantitatively scored as 0 to 3: 0, absent; 1, sparse; 2, moderate; and 3, severe.
Table 2

Brain regions analyzed in this study

arearegions
Anterior hippocampusdentate gyrus
uncus
pyramidal layer
subiculum
entorhinal cortex
Amygdalacortical amygdaloid nucleus as medial part
lateral part including basolateral, lateral amygdaloid nucleus
uncus
Medulla oblongatadorsal motor nucleus of the vagus
nucleus of hypoglossal nerve
inferior olivary complex
reticular formation
pyramids
Lumbar spinal cordanterior horn
posterior horn
white matter of spinal cord
central gray matter
Fig. 2

Evaluated anatomical regions in this study. a anterior hippocampus; b amygdala; c medulla oblongata; d lumbar spinal cord. Each anatomical region was identified using the neuroanatomy atlas [24]. The uncus was defined and identified using the human hippocampus, third edition [25]

Brain regions analyzed in this study Evaluated anatomical regions in this study. a anterior hippocampus; b amygdala; c medulla oblongata; d lumbar spinal cord. Each anatomical region was identified using the neuroanatomy atlas [24]. The uncus was defined and identified using the human hippocampus, third edition [25]

Statistical analysis

The Mann–Whitney U test was used to compare the age at death and brain weight between TDP-43–positive and TDP-43–negative groups. Fisher’s exact test was used to compare the male-to-female ratio and number of TDP-43 structures. A p value of less than 0.05 was considered statistically significant.

Results

The demographics of the cases in this study are shown in Table 3. We selected 136 cases as control elderly (mean age at death ± 1 SD, 78.5 ± 9.7 y). For comparison, we selected 29 AD, 11 LBD, and 11 AGD cases from the series of autopsied individuals. Compared with the control elderly group, the mean age at death was higher for AD, LBD, and AGD groups (Table 3).
Table 3

Demographics of cases included in this study

Control elderlyADLBDAGD
Number (case)136291111
Male, Female95, 4112, 179, 24, 7
Mean age at death78.5 ± 9.7*86.0 ± 6.284.0 ± 5.686.6 ± 6.3
(years, mean ± SD)
M ean brain weight1257 ± 1291168 ± 1851208 ± 77.41159 ± 129
(grams, mean ± SD)

AD, Alzheimer’s disease; LBD, Lewy body disease; AGD, Argyrophilic grain disease; SD, standard deviation

*, p < 0.05 compared with AD, LBD and AGD

Demographics of cases included in this study AD, Alzheimer’s disease; LBD, Lewy body disease; AGD, Argyrophilic grain disease; SD, standard deviation *, p < 0.05 compared with AD, LBD and AGD

Distribution of TDP-43 pathology in control elderly brains

TDP-43 immunoreactive structures were found in 55/136 (40.0 %) cases (Table 4). Most of these structures were DNs (53/136 cases, 39.0 %; Table 5); they were predominantly detected at the uncus of the anterior hippocampus (29/136 cases, 21.3 %; Table 5, Fig. 3a). In rare instances, DNs were present in other limbic areas such as the uncus of the amygdala (5/134 cases, 3.7 %; two cases of amygdala were unavailable, Table 5). In control elderly brains, TDP-43 immunoreactive GCIs and NCIs were rare. In fact, GCIs were observed only in a 94-year-old woman’s entorhinal cortex and NCIs only in a 98-year-old woman’s subiculum and pyramidal layer (Table 5). No NIIs were present in control elderly brains. TDP-43 immunoreactive DNs were also found in the inferior olivary complex (14/136 cases, 10.3 %), anterior horn (7/136 cases, 5.1 %), and white matter of the lumbar spinal cord (11/136 cases, 8.1 %), as shown in Table 5. No NCIs or GCIs were found in the medulla oblongata or lumbar spinal cord.
Table 4

Presence of TDP-43 pathology

Control elderlyADLBDAGD
positivenegative p valuepositivenegativep valuepositivenegative p valuepositivenegative p value
Cases (%)55 (40 %)81 (60 %)21 (72.4 %)8 (27.6 %)8 (72.7 %)3 (27.3 %)6 (54.5 %)5 (45.5 %)
Male, Female41, 1454, 27N.S.9, 123, 5N.S.6, 23, 0N.S.2, 42, 3N.S.
Mean age at death80.6 ± 9.377.1 ± 9.70.03886.2 ± 6.885.5 ± 4.5N.S.85.1 ± 4.681.0 ± 6.7N.S.90.3 ± 4.882.2 ± 4.70.028
(years, mean ± SD)
Mean brain weight1254 ± 1151259 ± 37N.S.1168 ± 2081169 ± 103N.S.1217 ± 57.21184 ± 111N.S.1149 ± 1051171 ± 153N.S.
(grams, mean ± SD)

AD, Alzheimer’s disease; LBD, Lewy body disease; AGD, Argyrophilic grain disease; SD, standard deviation; N.S., not significant

Table 5

TDP-43 distribution in this study

Control elderlyADLBDAGD
n = 136n = 29n = 11n = 11
scorescorescorescore
0123012301230123
Dentate gyrusDN135000204011100010000
GCI135000201401100010000
NCI135000182231010010000
NII135000223001100010000
Uncus (Hippocampus)DN107131241744363206410
GCI136000210431010011000
NCI136000172361100010010
NII136000271001100011000
Pyramidal layerDN136000212321100011000
GCI136000182531100011000
NCI135100163631010011000
NII136000271001100011000
SubiculumDN13321019522911011000
GCI136000164351100011000
NCI135100153551100011000
NII136000271001100011000
Entorhinal cortexDN135000175151010011000
GCI134100172451001011000
NCI135000192341001011000
NII135000244001010011000
Amygdala Medial partDN13040018443101009010
GCI134000173721001010000
NCI13400018236100109100
NII134000281001100010000
Amygdala Lateral partDN13300119703101009010
GCI13400018452100109010
NCI13400018056100109010
NII134000281001100010000
Uncus (Amygdala)DN1293201583383007210
GCI13400016670920010000
NCI13400016634101009100
NII134000290001100010000
Dorsal motor nucleus of the vagusDN136000272001100011000
GCI136000290001100011000
NCI136000290001100011000
NII136000290001100011000
Nucleus of hypoglossal nerveDN136000290001100011000
GCI136000290001100011000
NCI136000290001100011000
NII136000290001100011000
Inferior olivary complexDN12211302522074009200
GCI136000290001100011000
NCI136000290001100011000
NII136000290001100011000
Reticular formationDN132220281001100011000
GCI136000290001100011000
NCI136000290001100011000
NII136000290001100011000
PyramidsDN135100290001100011000
GCI136000290001100011000
NCI136000290001100011000
NII136000290001100011000
Anterior hornDN129700281001100011000
GCI136000290001100011000
NCI136000290001100011000
NII136000290001100011000
Posterior hornDN134200290001100011000
GCI136000290001100011000
NCI136000290001100011000
NII136000290001100011000
White matterDN1251100272001100010100
Central gray matterDN133300290001100011000
GC136000290001100011000
NC136000290001100011000
NN136000290001100011000

AD, Alzheimer’s disease; LBD, Lewy body disease; AGD, Argyrophilic grain disease; GCI, glial cytoplasmic inclusion; NCI, neuronal cytoplasmic inclusion; NII, neuronal intranuclear inclusion. The dentate gyrus was unavailable in one case of control elderly, 3 cases of AD, and one case of AGD. The amygdala was unavailable in two cases of control elderly and one case of AGD. The entorhinal cortex was unavailable in one case of control elderly. The anterior hippocampus was unavailable in one case of AD

Fig. 3

TDP-43 immunoreactive structures in representative cases. a Dystrophic neurites in the uncus of the anterior hippocampus in the control elderly brain. b Neuronal cytoplasmic inclusions (arrows) in the dentate gyrus in Alzheimer’s disease (AD). c Glial cytoplasmic inclusions (arrows) in the entorhinal cortex in AD. d Neuronal intranuclear inclusion (arrow) in the dentate gyrus in AD. Scale bar = 20 μm

Presence of TDP-43 pathology AD, Alzheimer’s disease; LBD, Lewy body disease; AGD, Argyrophilic grain disease; SD, standard deviation; N.S., not significant TDP-43 distribution in this study AD, Alzheimer’s disease; LBD, Lewy body disease; AGD, Argyrophilic grain disease; GCI, glial cytoplasmic inclusion; NCI, neuronal cytoplasmic inclusion; NII, neuronal intranuclear inclusion. The dentate gyrus was unavailable in one case of control elderly, 3 cases of AD, and one case of AGD. The amygdala was unavailable in two cases of control elderly and one case of AGD. The entorhinal cortex was unavailable in one case of control elderly. The anterior hippocampus was unavailable in one case of AD TDP-43 immunoreactive structures in representative cases. a Dystrophic neurites in the uncus of the anterior hippocampus in the control elderly brain. b Neuronal cytoplasmic inclusions (arrows) in the dentate gyrus in Alzheimer’s disease (AD). c Glial cytoplasmic inclusions (arrows) in the entorhinal cortex in AD. d Neuronal intranuclear inclusion (arrow) in the dentate gyrus in AD. Scale bar = 20 μm

Distribution of TDP-43 pathology in AD, LBD, and AGD brains

AD brains

TDP-43–positive structures were found in 21/29 (72.2 %) AD brains and were widely distributed in the amygdala and hippocampus (Tables 4, 5). These structures were composed of NCIs (17/29 cases, 58.6 %) and GCIs (18/29 cases, 62.1 %) as well as DNs (19/29 cases, 65.5 %) (Fig. 3b, c). DNs were observed in the uncus of the anterior hippocampus (11/28 cases, 39.3 %; in one case, the anterior hippocampus was unavailable) as well as in the amygdala (14/29 cases, 48.3 %). In 7/29 cases (24.1 %), TDP-43 immunoreactive NIIs were also present in the amygdala and hippocampus (Fig. 3d). To a lesser degree, TDP-43–positive DNs were found in the medulla oblongata (5/29 cases; 17.2 %) and lumbar spinal cord (3/29 cases; 10.3 %). There were neither NCIs nor GCIs in any case of AD (Table 5).

LBD brains

TDP-43 immunoreactive structures were found in 8/11 (72.7 %) LBD brains and predominantly observed in the uncus of the anterior hippocampus and amygdala (Tables 4, 5). To a lesser degree, they were also found in the amygdaloid nuclei, entorhinal cortex, subiculum, and pyramidal cells of the hippocampus. TDP-43 immunoreactive structures mainly took the form of DNs (8/11 cases, 72.7 %), and occasionally of NCIs or GCIs in the hippocampus and amygdala (2/11 cases, 18.2 %). DNs were observed in the uncus of the anterior hippocampus (5/11 cases, 45.5 %) and in the amygdala (3/11 cases, 27.3 %). TDP-43 immunoreactive NIIs were found in the entorhinal cortex of only one case. In the medulla oblongata, TDP-43 immunoreactive DNs were present in the inferior olivary complex (4/11 cases, 36.4 %; Table 5). There were no DNs in the spinal cord. No NCIs or GCIs were found in any case of LBD.

AGD brains

TDP-43 immunoreactive structures were found in 6/11 (54.5 %) AGD brains and observed in the uncus and amygdaloid nuclei (Tables 4, 5). These structures were DNs (6/11 cases, 54.5 %). TDP-43 immunoreactive NCIs or GCIs were also found in the amygdaloid nuclei (3/11 cases, 27.3 %). DNs were observed in the uncus of the anterior hippocampus (5/11 cases, 45.5 %) and amygdala (3/10 cases, 33.3 %; one case was unavailable). No TDP-43–positive NIIs were found in these brains. In the medulla oblongata, we found TDP-43 immunoreactive DNs in the inferior olivary complex in two cases (2/11 cases, 18.2 %; Table 5). In the lumbar spinal cord, we found TDP-43 immunoreactive DNs in the white matter in an 85-year-old male. Neither NCIs nor GCIs were found in any of the AGD brains.

Age and frequencies of DNs in four groups

The mean age at death was significantly higher in cases with TDP-43 immunoreactive structures than in those without TDP-43 immunoreactive structures in control elderly and AGD (Table 4). However, there were no significant differences in the mean age at death in AD and LBD (Table 4). Neither the brain weight nor sex ratio differed significantly among the four groups. Because DNs were the predominant form of TDP-43 immunoreactive structure and observed mostly in the uncus in control elderly, we analyzed the frequencies of DNs in the uncus of the anterior hippocampus and amygdala in comparison with those of AD, LBD, and AGD. There were no significant differences in the frequency of cases with DNs in the uncus of the anterior hippocampus between control elderly and disease controls (Fig. 4a). In contrast, the frequency of cases with DNs observed in the uncus of the amygdala was higher in AD, LBD, and AGD compared with control elderly (Fig. 4b).
Fig. 4

Incidence of TDP-43 immunoreactive dystrophic neurites (DNs) in the uncus of the anterior hippocampus and amygdala. a There were no significant differences in the number of cases with DNs in the uncus of the anterior hippocampus between control elderly brains and brains with Alzheimer’s disease (AD), Lewy body disease (LBD), and argyrophilic grain disease (AGD). b The incidence of DNs in the amygdala was significantly higher in the AD, LBD, and AGD brains than in control elderly brains

Incidence of TDP-43 immunoreactive dystrophic neurites (DNs) in the uncus of the anterior hippocampus and amygdala. a There were no significant differences in the number of cases with DNs in the uncus of the anterior hippocampus between control elderly brains and brains with Alzheimer’s disease (AD), Lewy body disease (LBD), and argyrophilic grain disease (AGD). b The incidence of DNs in the amygdala was significantly higher in the AD, LBD, and AGD brains than in control elderly brains In addition, we focused on the association between the percentage of cases carrying DNs in the uncus of the anterior hippocampus and aging in control elderly. DNs were observed from age 65 to 94. In these individuals, there was no statistical association between the rate of DNs and aging (Fig. 5). However, the rate of DNs may increase beyond 90 years of age (Fig. 5).
Fig. 5

Correlation between age and incidence of TDP-43 immunoreactive structures in the uncus of the anterior hippocampus in control elderly brains. The incidence of TDP-43 positive brains ranged between 13 % and 27 % between ages 65 and 89 years. Although there were no significant differences, the incidence of TDP-43–positive brains increased to 50 % at ages 90 to 94 years

Correlation between age and incidence of TDP-43 immunoreactive structures in the uncus of the anterior hippocampus in control elderly brains. The incidence of TDP-43 positive brains ranged between 13 % and 27 % between ages 65 and 89 years. Although there were no significant differences, the incidence of TDP-43–positive brains increased to 50 % at ages 90 to 94 years

The relationship between TDP-43 immunoreactivity and cognitive function, cerebrovascular disease in control elderly brains

In control elderly brains, the rates of cases with cognitive impairment (CDR ≥ 0.5) among cases with and without TDP-43 immunoreactive structures were 38.3 % (18/47 cases, CDR was unavailable in 8 cases) and 34.3 % (28/70 cases, CDR was unavailable in 11 cases), respectively. In addition, we examined the influence of cerebrovascular pathology. The rates of cases with cerebrovascular pathology among cases with and without TDP-43 immunoreactive structures were 61.2 % (34/55 cases) and 67.9 % (55/81 cases), respectively. There were no significant differences between cases with and without TDP-43 immunoreacrive structures.

TDP-43 pathology in comorbid pathologies, other neurological disorders and intermediate pathologies.

TDP-43 immunoreactive structures were also found in the following cases: AD plus LBD (5/6 cases, 83.3 %); AD plus AGD (3/3 cases, 100 %); AD plus PSP (1/1 case, 100 %); AD plus HS (1/1 case, 100 %); LBD plus AGD (1/1 case, 100 %); LBD plus PSP (0/1 case, 0 %); AGD plus HS (1/1 case, 100 %); NFTD (3/6 cases, 50 %); CJD (0/4 cases, 0 %); ALS/ALS with dementia (4/4 cases, 100 %); MSA (2/3 cases, 66.7 %); SCA6 (2/2 cases, 100 %); SCA3 (0/1 case, 0 %); PSP (2/2 cases, 100 %); HS (2/2 cases, 100 %); DRPLA (0/1 case, 0 %); CBD (1/1 case, 100 %); FTLD-TDP (1/1 case, 100 %); MELAS (0/1 case, 0 %); NFTC (13/27 cases, 48.1 %); ADC (9/18 cases, 50 %); and PSC (6/12 cases, 50 %).

Discussion

Our study is the first neuropathologic analysis that has clarified the anatomical distribution of TDP-43 immunoreactive structures in elderly brains with minimal senile neuropathologic changes in large numbers. We revealed the following findings. First, TDP-43 immunoreactive structures were present in 40 % of control elderly. Second, these structures were predominantly observed at the uncus of the anterior hippocampus as DNs over age 65. Third, the number of cases with DNs in the amygdala of control elderly was less than that of AD, LBD, or AGD. Fourth, no NCIs or GCIs were found in the medulla oblongata and lumbar spinal cord in all four groups. Finally, the mean age at death was significantly higher in cases with TDP-43 immunoreactive structures than those without such structures. A few studies have assessed the frequency of TDP-43 immunoreactive structures in normal brain. Wilson et al. reported that 2/63 (3 %) were positive for TDP-43 in neurologically normal individuals ranging from 23 to 94 years old at death [13]. Another study of 110 cognitively normal elderly brains (mean age at death 86 ± 6.0) revealed that 40 cases (36.4 %) showed TDP-43 immunoreactivity in the limbic area [14]. In yet another study, 12 of 60 brains (20 %) without severe mental illness (mean age; 68) were reported as TDP-43 immunopositive in the amygdala or hippocampus [12]. The wide variation in the rate of TDP-43 immunoreactivity may depend on the age distribution of the sample population and the definition of a normal brain. In fact, the definition of a normal brain was based on the clinical information in previous studies. Because we defined the control elderly brain by using a neuropathologic staging system in association with neurodegenerative disorders and aging, the present study could control the effects of other protein deposits, including tau and α-synuclein, on TDP-43. The distribution of TDP-43 immunoreactive structures in control elderly was different from those in AD. The structures in AD were widely present in the amygdala and hippocampus. Furthermore, in most cases, the TDP-43 immunoreactive structures in AD took the form of NCIs/GCIs, whereas only two cases of control elderly had GCIs or NCIs. These findings suggest that the pathological mechanism of TDP-43 accumulation in control elderly is different from that in AD. Although the amygdala was considered to be the first affected region of TDP-43 deposition in AD [26], TDP-43 immunoreactive structures in the amygdala may be non-specific. In this study, the frequency of cases with TDP-43 immunoreactive DNs observed in the uncus of the amygdala was significantly higher in AD than that in control elderly. This finding confirms that the sequential TDP-43 progression begins in the amygdala in AD. Interestingly, two control elderly cases over 90 showed NCIs or GCIs in the hippocampus and parahippocampus. Therefore, a portion of the TDP-43 immunoreactive NCIs and GCIs may be associated with aging. In addition, there is a possibility that these cases had neurodegenerative disorders at the earliest stages. Further cases need to be investigated to confirm these possibilities. Previous studies that used a small number of cases also reported that TDP-43 immunoreactive structures were frequently observed in the amygdala in AD, LBD, and AGD [5, 6, 8–11]. In the present study, TDP-43 immunoreactive DNs in the amygdala of control elderly brains were less numerous than in that of AD, LBD or AGD brains. Therefore, TDP-43 immunoreactive deposits in the amygdala are associated with deposits of proteins such as tau and α-synuclein, which are related to other neurodegenerative disorders. In contrast, the number of cases with TDP-43 immunoreactive DNs in the uncus of the anterior hippocampus of control elderly showed no significant differences compared with AD, LBD, and AGD. Importantly, these DNs were present from age 65 to 94 years in our study. In particular, the proportion of TDP-43–positive cases was 13 % to 27 % in the age range of 65–89 years and 50 % in the age range of 90–94 years (Fig. 5). These findings suggest that TDP-43 accumulation in the uncus of the anterior hippocampus in the form of DNs is predominantly associated with physiological aging and not with neurodegenerative disorders. We found TDP-43 immunoreactive DNs in the medulla oblongata and the spinal cord in control elderly brains and there were no NCIs or GCIs in all groups. These structures were predominantly located in the inferior olivary nuclei and the white matter of the spinal cord. The cases of AD, LBD, and AGD brains also showed TDP-43 immunoreactive DNs in those anatomical regions. We believe that the TDP-43 immunoreactive DNs in those specific anatomical regions may be associated with human physiological aging. In fact, the distribution pattern of TDP-43 deposits in this study clearly differs from that in ALS and FTLD-TDP brains that show many NCIs [4, 27]. Our study has some limitations. Because many aging brains have comorbid pathologies, the numbers of pure AD, LBD, and AGD brains in this study were relatively small. In addition, a part of TDP-43 accumulation of in AD, LBD, and AGD brains may be influenced by the aging process. In fact, for AD, LBD, and AGD, the mean age of death was significantly higher than that for control elderly. Although TDP-43 has been associated with memory loss and medial temporal atrophy in AD [28], the role of TDP-43 accumulation in control elderly brains remains unresolved. The present study, we could not find the relationship between cognitive function and TDP-43 pathology in control elderly cases. Since the present study has not focused on neuropsychological examination, further studies in large numbers are needed to determine whether TDP-43 pathology might lead to subtle changes in cognitive function.

Conclusions

In summary, our study clearly revealed that TDP-43 immunoreactive structures may develop as a consequence of aging processes in the human brain. Most of them were DNs not NCIs and GCIs, and were observed in the uncus of anterior hippocampus. Additional studies may be important to understand the role of TDP-43 accumulation in normal human aging. Besides those control elderly cases, we believe that the cases without TDP-43 immunoreactive deposits are also substantial for analysis of pathomechanism of TDP-43 accumulation.

Availability of supporting data

The data sets supporting the results of this article are included within the article and its additional files.
  26 in total

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Journal:  Brain Res       Date:  2007-10-25       Impact factor: 3.252

2.  Ubiquitinated TDP-43 in frontotemporal lobar degeneration and amyotrophic lateral sclerosis.

Authors:  Manuela Neumann; Deepak M Sampathu; Linda K Kwong; Adam C Truax; Matthew C Micsenyi; Thomas T Chou; Jennifer Bruce; Theresa Schuck; Murray Grossman; Christopher M Clark; Leo F McCluskey; Bruce L Miller; Eliezer Masliah; Ian R Mackenzie; Howard Feldman; Wolfgang Feiden; Hans A Kretzschmar; John Q Trojanowski; Virginia M-Y Lee
Journal:  Science       Date:  2006-10-06       Impact factor: 47.728

3.  Pathological 43-kDa transactivation response DNA-binding protein in older adults with and without severe mental illness.

Authors:  Felix Geser; John L Robinson; Joseph A Malunda; Sharon X Xie; Chris M Clark; Linda K Kwong; Paul J Moberg; Erika M Moore; Vivianna M Van Deerlin; Virginia M-Y Lee; Steven E Arnold; John Q Trojanowski
Journal:  Arch Neurol       Date:  2010-10

4.  TDP-43 is a component of ubiquitin-positive tau-negative inclusions in frontotemporal lobar degeneration and amyotrophic lateral sclerosis.

Authors:  Tetsuaki Arai; Masato Hasegawa; Haruhiko Akiyama; Kenji Ikeda; Takashi Nonaka; Hiroshi Mori; David Mann; Kuniaki Tsuchiya; Mari Yoshida; Yoshio Hashizume; Tatsuro Oda
Journal:  Biochem Biophys Res Commun       Date:  2006-10-30       Impact factor: 3.575

5.  Concomitant TAR-DNA-binding protein 43 pathology is present in Alzheimer disease and corticobasal degeneration but not in other tauopathies.

Authors:  Kunihiro Uryu; Hanae Nakashima-Yasuda; Mark S Forman; Linda K Kwong; Christopher M Clark; Murray Grossman; Bruce L Miller; Hans A Kretzschmar; Virginia M-Y Lee; John Q Trojanowski; Manuela Neumann
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6.  Abnormal TDP-43 immunoreactivity in AD modifies clinicopathologic and radiologic phenotype.

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Journal:  Neurology       Date:  2008-04-09       Impact factor: 9.910

7.  Phosphorylated TDP-43 in Alzheimer's disease and dementia with Lewy bodies.

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Journal:  Acta Neuropathol       Date:  2009-01-13       Impact factor: 17.088

8.  TDP-43 immunoreactivity in hippocampal sclerosis and Alzheimer's disease.

Authors:  Catalina Amador-Ortiz; Wen-Lang Lin; Zeshan Ahmed; David Personett; Peter Davies; Ranjan Duara; Neill R Graff-Radford; Michael L Hutton; Dennis W Dickson
Journal:  Ann Neurol       Date:  2007-05       Impact factor: 10.422

9.  Co-morbidity of TDP-43 proteinopathy in Lewy body related diseases.

Authors:  Hanae Nakashima-Yasuda; Kunihiro Uryu; John Robinson; Sharon X Xie; Howard Hurtig; John E Duda; Steven E Arnold; Andrew Siderowf; Murray Grossman; James B Leverenz; Randy Woltjer; Oscar L Lopez; Ronald Hamilton; Debby W Tsuang; Douglas Galasko; Eliezer Masliah; Jeffrey Kaye; Christopher M Clark; Thomas J Montine; Virginia M-Y Lee; John Q Trojanowski
Journal:  Acta Neuropathol       Date:  2007-07-25       Impact factor: 17.088

10.  Accumulation of phosphorylated TDP-43 in brains of patients with argyrophilic grain disease.

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1.  Loss of C9ORF72 impairs autophagy and synergizes with polyQ Ataxin-2 to induce motor neuron dysfunction and cell death.

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Journal:  EMBO J       Date:  2016-04-21       Impact factor: 11.598

2.  Corticobasal degeneration with TDP-43 pathology presenting with progressive supranuclear palsy syndrome: a distinct clinicopathologic subtype.

Authors:  Shunsuke Koga; Naomi Kouri; Ronald L Walton; Mark T W Ebbert; Keith A Josephs; Irene Litvan; Neill Graff-Radford; J Eric Ahlskog; Ryan J Uitti; Jay A van Gerpen; Bradley F Boeve; Adam Parks; Owen A Ross; Dennis W Dickson
Journal:  Acta Neuropathol       Date:  2018-06-20       Impact factor: 17.088

3.  Primary age-related tauopathy in a Chinese cohort.

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Journal:  J Zhejiang Univ Sci B       Date:  2020 Mar.       Impact factor: 3.066

4.  TDP-43 is associated with a reduced likelihood of rendering a clinical diagnosis of dementia with Lewy bodies in autopsy-confirmed cases of transitional/diffuse Lewy body disease.

Authors:  Marina Buciuc; Jennifer L Whitwell; Bradley F Boeve; Tanis J Ferman; Jonathan Graff-Radford; Rodolfo Savica; Kejal Kantarci; Julie A Fields; David S Knopman; Ronald C Petersen; Joseph E Parisi; Melissa E Murray; Dennis W Dickson; Keith A Josephs
Journal:  J Neurol       Date:  2020-01-31       Impact factor: 4.849

5.  Cytoplasmic mislocalization and mitochondrial colocalization of TDP-43 are common features between normal aged and young mice.

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6.  Distribution and characteristics of transactive response DNA binding protein 43 kDa pathology in progressive supranuclear palsy.

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Authors:  Peter T Nelson; Erin L Abner; Ela Patel; Sonya Anderson; Donna M Wilcock; Richard J Kryscio; Linda J Van Eldik; Gregory A Jicha; Zsombor Gal; Ruth S Nelson; Bela G Nelson; Jozsef Gal; Md Tofial Azam; David W Fardo; Matthew D Cykowski
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8.  Loss of TDP-43 in astrocytes leads to motor deficits by triggering A1-like reactive phenotype and triglial dysfunction.

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9.  TDP-43 Neuropathologic Associations in the Nun Study and the Honolulu-Asia Aging Study.

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