Skip to main content
BMJ Open Access logoLink to BMJ Open Access
. 2019 Sep 12;91(2):149–157. doi: 10.1136/jnnp-2019-320807

Executive, language and fluency dysfunction are markers of localised TDP-43 cerebral pathology in non-demented ALS

Jenna M Gregory 1,2,, Karina McDade 1,2, Thomas H Bak 2,3, Suvankar Pal 1,2, Siddharthan Chandran 1,2, Colin Smith 1,2, Sharon Abrahams 2,3
PMCID: PMC6996101  PMID: 31515300

Abstract

Objective

Approximately 35% of patients with amyotrophic lateral sclerosis (ALS) exhibit mild cognitive deficits in executive functions, language and fluency, without dementia. The precise pathology of these extramotor symptoms has remained unknown. This study aimed to determine the pathological correlate of cognitive impairment in patients with non-demented ALS.

Methods

In-depth neuropathological analysis of 27 patients with non-demented ALS who had undergone cognitive testing (Edinburgh Cognitive and Behaviour ALS Screen (ECAS)) during life. Analysis involved assessing 43 kDa Tar-DNA binding protein (TDP-43) accumulation in brain regions specifically involved in executive functions, language functions and verbal fluency to ascertain whether functional deficits would relate to a specific regional distribution of pathology.

Results

All patients with cognitive impairment had TDP-43 pathology in extramotor brain regions (positive predictive value of 100%). The ECAS also predicted TDP-43 pathology with 100% specificity in brain regions associated with executive, language and fluency domains. We also detected a subgroup with no cognitive dysfunction, despite having substantial TDP-43 pathology, so called mismatch cases.

Conclusions

Cognitive impairment as detected by the ECAS is a valid predictor of TDP-43 pathology in non-demented ALS. The profile of mild cognitive deficits specifically predicts regional cerebral involvement. These findings highlight the utility of the ECAS in accurately assessing the pathological burden of disease.

Keywords: ECAS, TDP-43, cognition, ALS, Neuropathology

Introduction

Amyotrophic lateral sclerosis (ALS) has a heterogeneous clinical manifestation and is accompanied by cognitive and/or behaviour dysfunction in 35% of patients, with an additional 15% exhibiting a frontotemporal dementia (FTD) typically a behavioural variant.1–3 Patients show executive dysfunction, social cognition, language and letter fluency deficits, in addition to abnormal behaviour, notably apathy.1 These extramotor symptoms are associated with reduced survival. However, their precise pathology has remained unknown.

The presence of 43 kDa Tar-DNA binding protein (TDP-43), whose pathological misfolding and accumulation is observed in the brains and spinal cord of patients with ALS, except for cases of superoxide dismutase 1 (SOD1) mutation, suggests a common underlying process.4 TDP-43 is a predominantly nuclear protein involved in transcriptional regulation. In ALS, TDP-43 is pathologically phosphorylated and C-terminally truncated in cytoplasmic aggregates.5 The toxicity may be partly loss and partly gain-of-function: insoluble aggregates inhibit TDP-43 function in transcriptional regulation, while cytoplasmic aggregates can lead to the dysregulation of proteostasis and sequester other aggregation prone proteins, causing further cytotoxicity and contributing to cell death.6 7

In ALS brains, TDP-43 pathology can be widespread in cases of ALS-related/FTD and some have suggested a sequential spread.8 A non-specific association was found between the presence of cognitive impairment (yes/no) as measured by a dementia screening tool, the Mini Mental State Examination and moderate to severe TDP-43 pathology.9 Using more detailed neuropsychology, Prudlo and colleagues divided the patients with ALS into three clinical groups: ALS with no cognitive impairment, ALS with cognitive impairment and ALS-FTD. A significant difference was demonstrated in the severity of pathologically misfolded TDP-43 inclusions, between patients with ALS-FTD and the combined non-demented clinical groups (ALS with or without cognitive impairment); however, there was no difference between the two non-demented groups: ALS with cognitive impairment and ALS with no cognitive impairment.10 An association between the cognitive profile in patients with non-demented ALS with cognitive impairment and TDP-43 has not been shown previously. Furthermore, the association between specific cognitive functions (executive, language and fluency) tested during life using the same cognitive tool and the distribution of postmortem TDP-43 pathology over several distinct brain regions has never been demonstrated. Studies are limited as cohorts have been assessed by different cognitive tests not designed for ALS or physical disability. The introduction of, the Edinburgh Cognitive and Behavioural ALS Screen (ECAS) enables a more cohesive approach. This standardised tool assesses ALS-related cognitive deficits (verbal fluency, executive and language functions) and is sensitive to milder cognitive impairments.1 11 Using the ECAS, we have been able to demonstrate an association between the presence of cognitive impairment and synaptic loss in the prefrontal cortex of patients with ALS.7 Here we are the first to examine the relationship between the profile of cognitive impairment as detected by the ECAS in non-demented ALS and the localised distribution of TDP-43.

The aim was to determine the pathological correlate of cognitive impairment in patients with non-demented ALS. Our hypotheses are that (1) the specific profile of cognitive impairment in patients with non-demented ALS (executive, fluency and language dysfunction) is associated with TDP-43 pathology in corresponding brain regions identified a priori and (2) the ECAS assessed in vivo is a good predictor of TDP-43 pathology postmortem.

Methods

Case identification

We identified, from the Medical Research Council (MRC) Edinburgh Brain Bank, 27 ALS cases who had undergone neuropsychological testing with the ECAS during life. Additionally, all cases had separately undergone whole genome sequencing. All clinical data including the ECAS were collected as part of Scottish Motor Neuron Disease Register (SMNDR) and Care Audit Research and Evaluation for Motor Neuron Disease (CARE-MND) platform and all patients consented to the use of their data during life. All postmortem tissue was collected via the Edinburgh Brain Bank in line with the Human Tissue (Scotland) Act.

Cognitive assessment

Cognitive impairment was measured using the ECAS, and all assessments were performed according to the standard procedure (https://ecas.psy.ed.ac.uk/). The ECAS is specifically designed to assess the profile of cognitive impairment in ALS and is adapted for patients with physical disability. It consists of 16 subtests across five cognitive domains: executive functions, language functions and letter fluency which combine to produce and ALS-specific score, while memory and visuospatial functions combine to produce an ALS-non-specific score. The ECAS also includes a carer behavioural interview based on criteria for diagnosing behavioural variant FTD.2

The ECAS provides high sensitivity and specificity in the detection of mild cognitive deficits in ALS against gold standard neuropsychological assessment using published cut-off scores for abnormality; has been validated extensively in many different diverse populations of patients with ALS and against other neuropsychological screening tools and batteries.3 12–19

The final ECAS score (maximum score of 136) is made up of the ALS-specific (maximum score of 100) and ALS-non-specific (maximum score of 36) scores. A person can be judged to be cognitively impaired (ALSci) if they have failed the ECAS (see supplemental information for diagnosing ALS-frontotemporal spectrum disorder using the ECAS). Here we used published cut-offs for the ECAS total and ALS-specific scores which have shown maximum sensitivity and specificity to detect ALS-related cognitive impairment against extensive neuropsychological assessment.12 The cut-offs for abnormality are ECAS Total 105/136 or less, ALS-specific score 77/100 or less. Abnormality cut-off scores for the cognitive subdomains are 33/48 for executive function, 14/24 for fluency and 26/28 for language function.3 ALS with behavioural impairment (ALSbi) was defined as the presence of apathy or two other behaviour features as defined by the consensus.2

Supplementary data

jnnp-2019-320807supp001.pdf (66.9KB, pdf)

Histology and neuropathological assessment

Brain tissue was taken at postmortem from standardised Brodmann areas (BA) and fixed in 10% formalin for a minimum of 24 hours. Tissue was dehydrated in an ascending alcohol series (70%–100%) followed by three successive 4-hour washes in xylene. Three successive 5-hour paraffin wax embedding stages were performed followed by cooling and sectioning of the formalin-fixed paraffin embedded (FFPE) tissue on a Leica microtome in 4 µm sections on to a superfrost microscope slide. Sections were dried overnight at 40°C and immunostaining was performed using the Novolink Polymer detection system with the Proteintech anti-phospho(409-410)-TDP-43 antibody at a 1 in 1000 dilution and 3,3′-diaminobenzidine chromogen and counterstained with haematoxylin, according to standard operating procedures.

For the purpose of later analyses, regions of the brain were grouped according to their association with (1) executive, (2) language functions or (3) letter fluency based on functional imaging and pathological studies.20–22 Brain regions which have been previously associated with executive functions included the orbitofrontal cortex (BA11/12), ventral anterior cingulate (BA24), dorsolateral prefrontal cortex (BA46 and BA9) and the medial prefrontal cortex (BA6). Regions associated with language functions included the inferior frontal gyrus (Broca’s area; BA44/45), transverse temporal area (Heschl’s gyri; BA41/42), middle and inferior temporal gyri (BA20/21) and the angular gyrus (BA39). In accordance with the underlying cognitive processes involved in fluency regions associated with fluency overlap between those of executive and language functions including the prefrontal cortex (BA9), inferior frontal gyrus (Broca’s area; BA44/45), ventral anterior cingulate (BA24) and the transverse temporal area (Heschl’s gyri; BA41/42). For a summary of these regions, see table 1. TDP-43 pathology was graded by two independent pathologists (pretest reviewer concordance acceptability was set at >0.66; therefore, disagreements were solved by discussion, resulting in 100% concordance), using a semiquantitative scoring system from 0 to 3: 0=no TDP-43 pathology; 1=mild (up to five affected cells in at least one 20× field of view per section); 2=moderate (5–15 affected cells in at least one 20× field of view per section); 3=severe (>15 cells affected in at least one 20× field of view per section) (figure 1A). Cases defined as having no pathology had a score of 0, while those with pathology had a score from 1 to 3 for each region. This scoring was applied to neuronal and glial cell population (based on established neuropathological knowledge of cell morphology using haematoxylin counterstain). Neuronal cells were determined by their larger cell size (nucleus surrounded by a large volume of cytoplasm, the presence of dendrites and cortical layer location). Glia were designated based on small cell size with oval to round nuclei with compact chromatin, small rim of cytoplasm. Assessors were blinded to all demographic and clinical information. Regions grouped by their functional significance had to have three out of four (or two out of three for fluency) regions with TDP-43 pathology present to be classified as positive for pathology and the pathology had to be at least one in these regions.

Table 1.

Functional and clinical correlates of chosen brain regions identified a priori for analysis

Brodmann area Functional correlate Clinical correlate
BA6, BA11, BA24, BA46 Executive ECAS (ALS specific subtests and scores)
BA9, BA44, BA41 Fluency
BA20, BA39 Language
BA19 Visuospatial ECAS (ALS non-specific subtests and scores)
Antihippocampus
Post-hippocampus
Amygdala
Memory

ALS, amyotrophic lateral sclerosis; ECAS, Edinburgh Cognitive and Behavioural ALS Screen.

Figure 1.

Figure 1

Subdomain cognitive dysfunction detected by the ECAS relates to specific regional distribution of TDP-43 pathology. (A) Pathological TDP-43 staining, demonstrating characteristic cytoplasmic aggregation and nuclear clearance of TDP-43. Images are taken at 20× magnification, illustrating mild, moderate and severe scoring of pathology. (B) Sensitivity and specificity analysis assessing the utility of ECAS subdomains in predicting TDP-43 pathology in corresponding brain regions, demonstrating high positive predictive value. Values are percentage with 95% CIs. ECAS, Edinburgh Cognitive and Behavioural Amytrophic lateral sclerosis Screen.

Statistical methods

Sensitivity, specificity, positive and negative predictive values are expressed as percentages. CIs for sensitivity and specificity are exact Clopper-Pearson CIs. CIs for the likelihood ratios are calculated using the Log method. CIs for the predictive values are the standard logit CIs. GraphPad Prism V.5.0 was used to present graphical data. Non-parametric analysis of (1) median survival was performed using Mann-Whitney U test and (2) time between ECAS testing and death was performed using two-tailed Fisher’s exact text. Shapiro-Wilk test was performed to ensure data were normally distributed. One-way analysis of variance (ANOVA) was used to compare cognitively impaired and unimpaired cases with different cell-type specific distributions of TDP-43 (figure 2D).

Figure 2.

Figure 2

Cell-type specific TDP-43 pathology differs between individuals. Pathological TDP-43 staining, demonstrating (A) predominantly glial inclusions; (B) mixed glial and neuronal inclusions and (C) predominantly neuronal inclusions. Images are taken at 20× magnification; red arrows indicate neurons and blue arrows indicate glial cells. (D) Frequency distribution demonstrating the number of cases with each of these characteristic cell-type specific inclusions. Each column is subdivided into red (evidence of cognitive dysfunction) and blue (no evidence of cognitive dysfunction) showing that there is no apparent link between cell-type specific TDP-43 accumulation and cognitive dysfunction in the cases that we analysed. ALS, amyotrophic lateral sclerosis; TDP-43, 43 kDa Tar-DNA binding protein.

Results

Cohort demographics

Twenty-seven patients with ALS (clinically established by El Escorial criteria) from the Edinburgh Brain Bank who had undergone neuropsychological testing during life using the ECAS were identified (table 2). No patient had a diagnosis of dementia in their clinical notes. All the patients had undergone whole genome sequencing identifying nine individuals with a confirmed genetic ALS-associated mutation, with five C9orf72 cases, two cases carrying the SOD1 (I114T) Scottish founder mutation and two cases with mutations of uncertain significance in the NEK1 gene.23 Seventy-two per cent of cases identified had limb onset disease, 23% had bulbar onset disease and one individual had a combined limb and bulbar onset of disease. Seven individuals (26% of the cohort) were classified as having ALSci (see table 3). Behavioural data was available on nine cases of which three were classified as ALSbi, one of which carried the I114T SOD1 mutation. No individual showed ALScibi, likely reflecting the small number of individuals with available behavioural data (nine individuals within the cohort). Eleven individuals demonstrated cognitive impairment in specific subdomains; executive function only (one individual), language (six individuals) and fluency (two individuals) with two individuals having a mixed deficit affecting all three domains (table 3). Only one case with language dysfunction was also impaired on the memory subtest, but none were impaired on visuospatial testing.

Table 2.

ECAS cohort demographics

Demographics n (%) Median (months) IQR (months)
Age
 At disease onset 56 48–60.75
 At death 63 50.25–66
Disease duration 31.5–98.75
Sex
 Male 12 (45)
 Female 15 (55)
Disease onset
 Upper limb 8 (36)
 Lower limb 8 (36)
 Bulbar 5 (23)
 Combined 1 (5)
Genetic diagnosis
C9orf72 6 (23)
SOD1 (I114T) 2 (9)
NEK1 2 (9)
 No known mutation (all had WGS) 17 (59)
Cognitive impairment (ECAS) 11 (40)
 Executive dysfunction 1 (4)
 Language 6 (22)
 Fluency 2 (7)
 Combined 2 (7)

Summary of clinical findings and demographics of patient cohort.

ECAS, Edinburgh Cognitive and Behavioural Amyotrophic lateral sclerosis Screen; WGS, whole-genome sequencing.

Table 3.

Cognitive scoring of ALS cohort

Behavioural impairment Cognitive assessment
ID Overall ALSci (Y/N) ALS Specific ALS non-specific ECAS total Executive Language Fluency Memory Visuospatial Behaviour
Case 1 N 92 33 125 42 28 22 22 11 4
Case 2 (NEK1) N 86 30 116 38 28 20 18 12 2
Case 3 (SOD1) N 87 31 118 41 28 18 19 12 2
Executive dysfunction Cognitive assessment
ID Overall ALSci (Y/N) ALS specific ALS non-specifc ECAS total Executive Language Fluency Memory Visuospatial Behaviour
Case 4 (C9orf72) Y 76 26 102 31 27 18 14 12 ND
Language dysfunction Cognitive assessment
ID Overall ALSci (Y/N) ALS specific ALS non-specifc ECAS total Executive Language Fluency Memory Visuospatial Behaviour
Case 5 (C9orf72) N 85 27 112 39 26 20 15 12 0
Case 6 (C9orf72) Y 76 26 102 35 23 18 14 12 ND
Case 7 Y 81 20 101 37 26 18 8 12 ND
Case 8 (C9orf72) Y 74 26 100 36 20 18 14 12 ND
Case 9 N 88 26 114 44 26 18 14 12 ND
Case 10 N 85 26 111 36 25 24 14 12 0
Fluency dysfunction Cognitive assessment
ID Overall ALSci (Y/N) ALS specific ALS non-specifc ECAS total Executive Language Fluency Memory Visuospatial Behaviour
Case 11 Y 75 30 105 39 28 8 18 12 ND
Case 12 N 82 33 115 44 28 10 21 12 ND
Combined deficit: executive, language and fluency Cognitive assessment
ID Overall ALSci (Y/N) ALS specific ALS non-specifc ECAS total Executive Language Fluency Memory Visuospatial Behaviour
Case 13 Y 65 26 91 32 25 8 15 11 0
Case 14 Y 62 28 90 32 22 8 16 12 ND
Unimpaired Cognitive assessment
ID Overall ALSci (Y/N) ALS specific ALS non-specifc ECAS total Executive Language Fluency Memory Visuospatial Behaviour
Case 15 (C9orf72) N 83 31 114 39 28 16 21 10 0
Case 16 N 87 33 120 41 28 18 21 12 ND
Case 17 N 97 35 132 47 28 22 23 12 ND
Case 18 N 93 32 125 45 28 20 20 12 1
Case 19 (NEK1) N 88 30 118 42 28 18 18 12 ND
Case 20 N 85 29 114 39 28 18 17 12 ND
Case 21 N 86 30 116 40 28 18 18 12 ND
Case 22 N 82 33 115 35 27 20 21 12 0
Case 23(C9orf72) N 86 32 118 40 28 18 20 12 0
Case 24 N 83 29 112 38 27 18 17 12 ND
Case 25 N 82 29 111 36 28 18 17 12 ND
Case 26(SOD1) N 82 28 110 34 28 20 16 12 ND
Case 27 N 92 32 124 44 28 20 20 12 ND

Summary of ECAS scores for each patient in the cohort, subdivided by subdomain deficits.

ALS, amyotrophic lateral sclerosis; ALSci, cognitively impaired ALS; ECAS, Edinburgh Cognitive and Behavioural ALS Screen; ND, not done.

Cognitive dysfunction detected by the ECAS is associated with pathological TDP-43 accumulation

To determine whether cognitive impairment as detected by the ECAS was a good predictor of extramotor pathology in ALS we first assessed whether patients with impaired ECAS scores exhibited extramotor pathology assessed by TDP-43 aggregation in postmortem tissue.

Three out of 27 patients met criteria for ALSbi; one of these had a NEK1 mutation, one had a SOD1 mutation and one was a sporadic case. The brain areas thought to predominantly be associated with behavioural dysfunction are (1) the orbitofrontal cortex (BA11/12), (2) ventral anterior cingulate (BA24) and (3) medial prefrontal cortex (BA6). There was no TDP-43 present in the case with SOD1 mutation, in keeping with previous literature; however, the remaining two cases did have TDP-43 inclusions in two or more of these brain regions (table 4). 7 out of our cohort of 27 patients met criteria for ALSci. All 7 of these patients exhibited TDP-43 pathology in extramotor brain regions (table 4). Therefore, in every case exhibiting ALSci, there was evidence of extramotor TDP-43 pathology. There were six false negatives, whereby TDP-43 pathology in extramotor brain regions was not accompanied by an impairment in the ECAS.24 These data taken together were used to assess the diagnostic accuracy of ECAS in predicting TDP-43 pathology in extramotor brain regions resulting in a diagnostic accuracy of 66.67% (95% CI 46.04 to 83.48), with a sensitivity of 43.75% (95% CI 19.75 to 70.12) and a specificity of 100% (95% CI 71.51 to 100).

Table 4.

Postmortem pathological scoring

Behavioural impairment Postmortem assessment of TDP-43 accumulation
Cell type Motor Executive function Language Sensory Other
ID Disease duration BA4 BA6 BA11 BA24 BA46 BA9 BA44 BA41 BA20 BA39 BA19 Ant hip Post hip Amygdala
Case 1 24 Neuronal 1 1 0 1 0 0 1 1 1 1 1 1 1 1
Glial 1 1 0 1 1 0 1 1 1 1 1 1 1 1
Case 2 (NEK1) 159 Neuronal 3 3 1 2 2 2 2 2 2 1 2 3 3 3
Glial 3 2 1 1 2 2 2 1 1 1 1 2 2 2
Case 3 (SOD1) 98 Neuronal 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Glial 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Executive dysfunction Postmortem assessment of TDP-43 accumulation
Cell type Motor Executive function Language Sensory Other
ID Disease duration BA4 BA6 BA11 BA24 BA46 BA9 BA44 BA41 BA20 BA39 BA19 Ant hip Post hip Amygdala
Case 4 (C9orf72) 97 Neuronal 2 1 1 2 1 0 1 1 0 1 0 1 1 1
Glial 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Language dysfunction Postmortem assessment of TDP-43 accumulation
Cell type Motor Executive function Language Sensory Other
ID Disease duration BA4 BA6 BA11 BA24 BA46 BA9 BA44 BA41 BA20 BA39 BA19 Ant hip Post hip Amygdala
Case 5 (C9orf72) 58 Neuronal 2 2 1 1 1 1 1 1 1 1 0 1 1
Glial 3 2 1 1 1 1 1 1 1 1 0 0 1
Case 6 (C9orf72) 58 Neuronal 1 1 1 1 1 0 0 1 0 0 0 0 0 0
Glial 2 1 0 1 0 0 0 1 0 0 0 0 0 0
Case 7 17 Neuronal 3 0 1 0 1 1 1 1 1 1 0 0 0 0
Glial 3 1 1 1 1 1 1 0 0 1 0 0 0 0
Case 8 (C9orf72) 60 Neuronal 3 1 1 1 1 1 1 1 1 1 0 0 0 0
Glial 3 1 1 1 1 1 1 1 1 1 0 0 0 0
Case 9 150 Neuronal 2 1 0 1 0 1 1 1 1 1 0 0 0 0
Glial 2 1 0 1 1 1 1 1 1 1 0 0 0 0
Case 10 13 Neuronal 3 2 1 2 1 1 1 1 1 1 0 0 0 0
Glial 3 2 1 2 1 1 1 1 1 1 0 0 0 0
Fluency dysfunction Postmortem assessment of TDP-43 accumulation
Cell type Motor Executive function Language Sensory Other
ID Disease duration BA4 BA6 BA11 BA24 BA46 BA9 BA44 BA41 BA20 BA39 BA19 Ant hip Post hip Amygdala
Case 11 14 Neuronal 2 3 3 3 3 3 2 2 2 2 2 3 3
Glial 2 3 2 3 2 2 1 2 2 2 2 2 2
Case 12 99 Neuronal 0 1 0 0 0 1 0 0 0 1 0 0 0 0
Glial 2 2 0 1 1 1 1 1 1 2 1 0 0 0
Combined deficit: executive, language and fluency Postmortem assessment of TDP-43 accumulation
Cell type Motor Executive function Language Sensory Other
ID Disease duration BA4 BA6 BA11 BA24 BA46 BA9 BA44 BA41 BA20 BA39 BA19 Ant hip Post hip Amygdala
Case 13 20 Neuronal 1 2 2 2 1 1 1 1 2 1 1 2 2 2
Glial 1 2 2 2 2 2 1 1 2 1 1 2 2 1
Case 14 130 Neuronal 1 1 1 1 1 0 1 1 2 1 0 2 1 1
Glial 1 1 1 1 1 0 1 1 2 1 0 2 1 1
Unimpaired Postmortem assessment of TDP-43 accumulation
Cell type Motor Executive function Language Sensory Other
ID Disease duration BA4 BA6 BA11 BA24 BA46 BA9 BA44 BA41 BA20 BA39 BA19 Ant hip Post hip Amygdala
Case 15 (C9orf72) 109 Neuronal 1 1 1 1 1 1 1 1 1 1 1 1 1 1
Glial 2 2 1 1 2 2 1 1 1 1 1 1 1 1
Case 16 134 Neuronal 1 2 1 1 2 1 2 1 1 1 1 2 2 2
Glial 1 2 1 1 2 1 2 1 1 1 1 2 2 2
Case 17 30 Neuronal 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Glial 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Case 18 16 Neuronal 1 0 0 0 0 0 0 1 0 1 1 0 0 1
Glial 2 0 0 0 0 0 0 1 0 2 0 0 0 1
Case 19 (NEK1) 119 Neuronal 1 0 0 0 0 0 0 0 0 0 0 0 0 0
Glial 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Case 20 54 Neuronal 1 0 0 0 0 0 0 0 0 0 0 0 0 0
Glial 1 0 0 0 0 0 0 0 0 0 0 1 0 0
Case 21 46 Neuronal 1 0 0 0 0 0 0 0 0 0 0 0 0 0
Glial 2 0 0 0 0 0 0 1 0 0 0 0 0 0
Case 22 31 Neuronal 0 1 0 0 1 0 0 0 0 0 0 0 0 0
Glial 0 1 0 0 1 0 0 0 0 0 0 0 0 1
Case 23 (C9orf72) 33 Neuronal 2 2 1 2 1 1 1 1 1 1 1 1 1 1
Glial 2 2 0 2 1 0 1 1 1 1 1 1 1 1
Case 24 64 Neuronal 1 0 0 1 0 0 0 0 0 0 0 0 0 0
Glial 1 0 0 1 0 0 0 0 0 0 0 0 0 0
Case 25 45 Neuronal 1 0 0 0 0 0 0 0 0 0 0 0 0 0
Glial 1 0 0 0 0 0 0 0 0 0 0 0 0 0
Case 26 (SOD1) 67 Neuronal 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Glial 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Case 27 16 Neuronal 0 1 1 1 1 1 0 0 0 0 0 0 0 0
Glial 0 1 1 1 1 1 0 0 0 0 0 0 0 0

Summary of post-mortem TDP-43 pathology for each patient in the cohort, subdivided by ECAS subdomain deficits. Brain regions are grouped by function into: (1) motor, (2) executive function, (3) language, (4) fluency—which is composed of three regions: BA9, BA44 and BA41 with overlap in both language and fluency domains, (5) sensory and (6) other. 0=no TDP-43 pathology identified, 1=mild TDP-43 pathology, 2=moderate TDP-43 pathology and 3=severe TDP-43 pathology. All cases were investigated for genetic diagnoses by either whole genome sequencing or repeat-prime PCR (for C9orf72 status), and mutations are indicated in brackets after the case number.

ECAS, Edinburgh Cognitive and Behavioural Amytrophic lateral sclerosis Screen; TDP-43, 43 kDa Tar-DNA binding protein.

Subdomain cognitive dysfunction detected by the ECAS relates to specific regional distribution of pathology

Three of the 27 patients demonstrated mild executive dysfunction when tested (one with pure executive dysfunction and two with a combined executive, language and fluency dysfunction) and all three had corresponding TDP-43 pathology at postmortem in the brain areas associated with executive functions (BA6, BA11, BA24, BA46 and BA9). Furthermore eight of the 27 patients demonstrated mild language impairment (BA44, BA41, BA20 and BA39) when tested with ECAS (six with pure language dysfunction and two with a combined executive, language and fluency dysfunction), all of whom had TDP-43 pathology in corresponding brain areas at postmortem. Four of the 27 patients demonstrated mild fluency dysfunction when tested with ECAS (two with pure fluency dysfunction and two with a combined executive, language and fluency dysfunction) and all four had corresponding TDP-43 pathology at postmortem in the brain areas associated with fluency (BA9, BA44 and BA41). There were no cases where cognitive impairment was present in the absence of TDP-43 pathology; however, there was a small subgroup (n=6) of patients who had TDP-43 pathology with no cognitive impairment (false negatives). These results taken together gave rise to the ECAS accurately predicting TDP-43 pathology with a positive predictive value of 100% and 100% specificity in executive function, language and fluency domains (figure 1B).

Genetic status, cognitive impairment and pathology

Six out of the 27 cases identified had a genetic diagnosis of a C9orf72 repeat expansion; all cases had extramotor TDP-43 pathology at postmortem, irrespective of cognitive impairment. This is in stark contrast to two patients in the cohort with a SOD1 (I114T) mutation (Scottish founder mutation), who had no detectable TDP-43 pathology and no cognitive dysfunction (although one additional SOD1 individual was classified as ALSbi, but had no TDP-43 pathology), consistent with previous neuropathological and neuropsychological assessments.9 25 Of these six C9orf72 repeat expansion cases, one had executive dysfunction and three had language impairment. We also identified two patients carrying a NEK1 mutation, one of these patients had ALSbi with TDP-43 pathology and the other had no cognitive impairment and no evidence of extramotor TDP-43 pathology at postmortem.

TDP-43 protein distribution is cell-type specific and differs between individuals

Analysis of the cell-type specific distribution of TDP-43 pathology was performed demonstrating three predominating patterns: (1) predominantly glial (22.2% of cases), (2) mixed glial and neuronal (59.3% of cases) and (3) predominantly neuronal TDP-43 pathology (7.4% of cases; figure 2). One-way ANOVA was performed to assess whether the cell-type specific distribution of TDP-43 pathology was associated with cognition in the regions assessed (figure 2D), demonstrating no significant difference (p>0.05; table 5). Indeed, there was no statistically significant difference between the groups for other demographic and clinical characteristics, including sex, anatomical onset of disease, median age at onset or death, disease duration or genetics (measured by one-way ANOVA with Bonferroni correction for multiple testing p>0.05; table 5). This is likely due to the small sample size evaluated and clearly warrants further investigation in a larger cohort or meta-analysis of existing data to evaluate conclusively whether these phenotypes impact on clinical characteristics of ALS and or FTD.

Table 5.

Cell-type specific pathology in ALS

TDP-43 pathology Glial Mixed Neuronal SOD1/no TDP-43 pathology
Number of patients 6 16 2 3
Proportion of cohort 22.2 59.3 7.4 11.1
Sex (M/F) 4 M; 2 F 9 M; 7 F 1 M; 1 F 2 F; 1 M
Onset
 Limb 3 13 2 3
 Bulbar 3 2 0 0
 Both 0 1 0 0
Median age (range)
 At disease onset 56 (39–69) 56 (45–79) 60 (54–66) 45 (32–59)
 At death 63 (43–70) 63 (50–84) 69 (62–76) 48 (40–64)
Median disease duration 58 (16–109) 43 (13–134) 108 (97–199) 67 (30–98)
Genetics
 No mutation 3 13 0 1
 C9orf72 3 2 1 0
 SOD1 0 0 0 2
 NEK1 0 1 1 0
Impaired cognition (ECAS)
 Behavioural 0 2 0 1
 Executive 0 0 1 0
 Language 2 4 0 0
 Fluency 1 1 0 0
 Combined 0 2 0 0

Summary of clinical findings and demographics of cohort separated by cell-type specific TDP-43 pathology (as demonstrated in figure 2).

ALS, amyotrophic lateral sclerosis; ECAS, Edinburgh Cognitive and Behavioural ALS Screen; F, female; M, male; TDP-43, 43 kDa Tar-DNA binding protein.

Discussion

We undertook an in-depth neuropathological analysis of 27 patients with non-demented ALS who had all undergone cognitive testing with the ECAS during life and demonstrated that all individuals with ALS-specific cognitive deficits (ALSci) had TDP-43 pathology in extramotor areas. Furthermore, a more detailed analysis of the types of cognitive impairment (executive/language/fluency) revealed a direct association between TDP-43 pathology and specific corresponding brain regions of the frontal and temporal lobes. Specifically we showed that (1) executive dysfunction was associated with TDP-43 pathology in the following regions: the orbitofrontal cortex (BA11/12), ventral anterior cingulate (BA24), dorsolateral prefrontal cortex (BA46 and BA9) and the medial prefrontal cortex (BA6); (2) language dysfunction was associated with TDP-43 pathology in the inferior frontal gyrus (Broca’s area; BA44/45), transverse temporal area (Heschl’s gyri; BA41/42), middle and inferior temporal gyri (BA20/21) and the angular gyrus (BA39); (3) fluency dysfunction was associated with TDP-43 pathology in the prefrontal cortex (BA9), inferior frontal gyrus (Broca’s area; BA44/45), ventral anterior cingulate (BA24) and the transverse temporal area (Heschl’s gyri; BA41/42) and (4) behavioural impairment was associated with TDP-43 pathology in the orbitofrontal cortex (BA11/12), ventral anterior cingulate (BA24) and medial prefrontal cortex (BA6). We recognise that a potential limitation of these data is the difference in time between ECAS testing during life and time of death. However, we demonstrate that there was no effect of time between ECAS and death on our data. As such we are confident that our conclusions from these data are robust and meaningful.

Staging of TDP-43 pathology at postmortem has been described previously and together with the current findings indicates that the pathological accumulation of TDP-43 is clearly related to the clinical manifestations of ALS and could be a promising biomarker.9 26 We chose to assess TDP-43 pathology using a semiquantitative scoring system to assess non-motor brain regions, rather than the scoring systems previously published by Brettschneider and colleagues which focused on the motor region and behavioural variant FTD.9 27 Using our system, we were able to assess abundance of TDP-43 pathology in specific brain regions associated with subdomains of the ECAS and also to identify cell-type specific patterns of TDP-43 pathology, allowing us to generate a specific data set relevant to cognitive testing. Here, we present the first evidence suggesting that ECAS could be used to accurately predict the presence of TDP-43 pathology in specific non-motor brain regions at post-mortem. Indeed, the ECAS is now used worldwide in ALS clinics (https://ecas.psy.ed.ac.uk), highlighting the potential impact and clinical utility of these findings. Cognitive changes are found in about half of cases of ALS and given that these clinical manifestations of the disease are likely related to TDP-43 accumulation, there is potential for targeted therapies to improve cognition aimed at reducing the burden of misfolded TDP-43. These findings raise the possibility of using ECAS as a stratification tool in clinical trials, aimed at reducing cognitive symptoms in at risk individuals. Given that no false positives would be identified, the use of the ECAS as a stratification tool would not result in anyone being incorrectly included in such a clinical trial.

Although there were some cases with mild involvement of BA19 (five cases) and hippocampal pathology (four cases), there was no associated functional (memory, visuospatial) impairment. We identified one case with language impairment that also had some mild BA19 pathology. In this case, there was no additional hippocampal pathology and it is therefore likely that they performed poorly on the story recall memory test due to other cognitive problems (eg, language) and not because a primary impairment in memory.

There were three predominating cell-type specific patterns of TDP-43 pathology: (1) predominantly glial (22.2% of cases); (2) mixed neuronal and glial (59.3% of cases) and (3) predominantly neuronal (7.4% of cases). This finding is clearly present in other published pathological data sets28 and images,29 however, has, to our knowledge, never been formally reported. While our data showed no statistically significant association with cognition in these brain regions, we do not have an adequate sample size to be able to comment more specifically on the implications of this finding on ALS pathogenesis. However, given that this cell-type specific distribution of TDP-43 pathology exists, it is crucial that animal and cell models accurately model these differing neuronal and glial pathologies in future experimental paradigms. There is a focus on neuronal models of ALS, which may not accurately model the 22.2% of cases that we found to have a predominantly glial pattern of TDP-43 pathology.

Furthermore, in line with previous neuropathological studies of patients with ALS, all C9orf72 repeat expansion carrying patients and none of the patients with a SOD1 mutation had TDP-43 pathology at postmortem and neither TDP-43 severity nor cell-type distribution was associated with disease progression. Our data therefore show that there are two predictors of TDP-43 pathology at postmortem: (1) cognitive dysfunction assessed by the ECAS and (2) C9orf72/SOD1 status. Given the impact that cognition has on the quality of life of both patients and carers, future studies looking at the effects of therapies, targeting protein misfolding, on cognitive function in patients with ALS, independent of their effects on survival or motor function, are clearly warranted. Our data demonstrate the utility of the ECAS in predicting TDP-43 pathology in extra-motor brain regions in postmortem tissue. The primary advantage of a specificity of 100% is that no individual would be incorrectly included in a clinical trial aimed at reducing TDP-43 burden. However, the major limitation to this is the lower sensitivity of the ECAS in predicting this burden of pathology, meaning that some patients, who could plausibly benefit from such a trial, would not be identified. However, recently we identified a striking difference in spatial expression of a pathological marker called clusterin in mismatch cases that would not be identified by the ECAS.24 It is therefore plausible that biomarkers exist that could be developed to enable improved sensitivity to identify further individuals that may be missed by the ECAS testing. Crucially the ECAS may therefore have ever improving utility in (1) identifying patients for inclusion and (2) monitoring patients’ response to treatment, in clinical trials aimed at reducing pathological TDP-43 accumulation.

Acknowledgments

The authors would like to thank (1) the MRC Edinburgh Brain Bank for supplying all postmortem brain material and the Scottish MND Register/CARE-MND Consortium for all clinical and demographic data; (2) the Scottish MND Clinical Specialist team in discussing and obtaining consent from MND patients for inclusion in these resources; (3) MND Scotland and the Sylvia Aitken Charitable Trust for funding SA and CS to help to establish the MND Tissue bank; (4) the Motor Neurone Disease Association and the Amyotrophic Lateral Sclerosis Association for funding the development and collection of ECAS data in the patients with ALS and (v) Steven Meldrum, Chris Crockford, Ratko Radakovic, Elaine Niven, Judy Newton, Gill Stott and Jill Dunbar for their help with collection of the cognitive data.

Footnotes

Contributors: All authors contributed to the conception and design of the study. JMG, KM, CS and SA contributed to the acquisition and analysis of data. JMG, THB, SP, SC, CS and SA contributed to the drafting a significant portion of the manuscript or figures.

Funding: Medical Research Council: MR/L016400/1; Academy of Medical Sciences: 210JMG 3102 R45620.

Competing interests: None declared.

Patient consent for publication: Not required.

Ethics approval: Ethics approval from Scotland A Research Ethics Committee 10/MRE00/78 and 15/SS/0216; ethics approval from East of Scotland Research Ethics Service, 16/ES/0084; use of human tissue for postmortem studies has been reviewed and approved by the Edinburgh Brain Bank ethics committee and the Academic and Clinical Central Office for Research and Development (ACCORD) medical research ethics committee (AMREC).

Provenance and peer review: Not commissioned; externally peer reviewed.

Data availability statement: All data relevant to the study are included in the article or uploaded as supplementary information.

References

  • 1. Goldstein LH, Abrahams S. Changes in cognition and behaviour in amyotrophic lateral sclerosis: nature of impairment and implications for assessment. Lancet Neurol 2013;12:368–80. 10.1016/S1474-4422(13)70026-7 [DOI] [PubMed] [Google Scholar]
  • 2. Strong MJ, Abrahams S, Goldstein LH, et al. . Amyotrophic lateral sclerosis - frontotemporal spectrum disorder (ALS-FTSD): Revised diagnostic criteria. Amyotroph Lateral Scler Frontotemporal Degener 2017;18:153–74. 10.1080/21678421.2016.1267768 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3. Abrahams S, Leigh PN, Harvey A, et al. . Verbal fluency and executive dysfunction in amyotrophic lateral sclerosis (ALS). Neuropsychologia 2000;38:734–47. 10.1016/S0028-3932(99)00146-3 [DOI] [PubMed] [Google Scholar]
  • 4. Mackenzie IRA, Bigio EH, Ince PG, et al. . Pathological TDP-43 distinguishes sporadic amyotrophic lateral sclerosis from amyotrophic lateral sclerosis withSOD1 mutations. Ann Neurol 2007;61:427–34. 10.1002/ana.21147 [DOI] [PubMed] [Google Scholar]
  • 5. Neumann M, Sampathu DM, Kwong LK, et al. . Ubiquitinated TDP-43 in frontotemporal lobar degeneration and amyotrophic lateral sclerosis. Science 2006;314:130–3. 10.1126/science.1134108 [DOI] [PubMed] [Google Scholar]
  • 6. Buratti E, Baralle FE. The molecular links between TDP-43 dysfunction and neurodegeneration. Adv Genet 2009;66:1–34. 10.1016/S0065-2660(09)66001-6 [DOI] [PubMed] [Google Scholar]
  • 7. Henstridge CM, Sideris DI, Carroll E, et al. . Synapse loss in the prefrontal cortex is associated with cognitive decline in amyotrophic lateral sclerosis. Acta Neuropathol 2018;135:213–26. 10.1007/s00401-017-1797-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8. Geser F, Brandmeir NJ, Kwong LK, et al. . Evidence of multisystem disorder in whole-brain map of pathological TDP-43 in amyotrophic lateral sclerosis. Arch Neurol 2008;65:636–41. 10.1001/archneur.65.5.636 [DOI] [PubMed] [Google Scholar]
  • 9. Brettschneider J, Del Tredici K, Toledo JB, et al. . Stages of pTDP-43 pathology in amyotrophic lateral sclerosis. Ann Neurol 2013;74:20–38. 10.1002/ana.23937 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10. Prudlo J, König J, Schuster C, et al. . Tdp-43 pathology and cognition in ALS: a prospective clinicopathologic correlation study. Neurology 2016;87:1019-23 10.1212/WNL.0000000000003062 [DOI] [PubMed] [Google Scholar]
  • 11. Cykowski MD, Powell SZ, Peterson LE, et al. . Clinical significance of TDP-43 neuropathology in amyotrophic lateral sclerosis. J Neuropathol Exp Neurol 2017;76:402–13. 10.1093/jnen/nlx025 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12. Abrahams S, Newton J, Niven E, et al. . Screening for cognition and behaviour changes in ALS. Amyotroph Lateral Scler Frontotemporal Degener 2014;15:9–14. 10.3109/21678421.2013.805784 [DOI] [PubMed] [Google Scholar]
  • 13. Niven E, Newton J, Foley J, et al. . Validation of the Edinburgh cognitive and behavioural amyotrophic lateral sclerosis screen (ECAS): a cognitive tool for motor disorders. Amyotroph Lateral Scler Frontotemporal Degener 2015;16:172–9. 10.3109/21678421.2015.1030430 [DOI] [PubMed] [Google Scholar]
  • 14. Siciliano M, Trojano L, Trojsi F, et al. . Edinburgh Cognitive and Behavioural ALS Screen (ECAS)-Italian version: regression based norms and equivalent scores. Neurol Sci 2017;38:1059–68. 10.1007/s10072-017-2919-4 [DOI] [PubMed] [Google Scholar]
  • 15. Ye S, Ji Y, Li C, et al. . The Edinburgh cognitive and behavioural ALS screen in a Chinese amyotrophic lateral sclerosis population. PLoS One 2016;11:e0155496 10.1371/journal.pone.0155496 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16. Mora JS, Salas T, Camino Fernandez M, et al. . Spanish adaptation of the Edinburgh cognitive and behavioural amyotrophic lateral sclerosis screen (ECAS). Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration 2017;16:1–6. [DOI] [PubMed] [Google Scholar]
  • 17. Pinto-Grau M, Burke T, Lonergan K, et al. . Screening for cognitive dysfunction in ALS: validation of the Edinburgh cognitive and behavioural ALS screen (ECAS) using age and education adjusted normative data. Amyotroph Lateral Scler Frontotemporal Degener 2017;18:99–106. 10.1080/21678421.2016.1249887 [DOI] [PubMed] [Google Scholar]
  • 18. Loose M, Burkhardt C, Aho-Özhan H, et al. . Age and education-matched cut-off scores for the revised German/Swiss-German version of ECAS. Amyotroph Lateral Scler Frontotemporal Degener 2016;17:374–6. 10.3109/21678421.2016.1162814 [DOI] [PubMed] [Google Scholar]
  • 19. Lulé D, Burkhardt C, Abdulla S, et al. . The Edinburgh cognitive and behavioural amyotrophic lateral sclerosis screen: a cross-sectional comparison of established screening tools in a German-Swiss population. Amyotroph Lateral Scler Frontotemporal Degener 2015;16:16–23. 10.3109/21678421.2014.959451 [DOI] [PubMed] [Google Scholar]
  • 20. Abrahams S, Goldstein LH, Simmons A, et al. . Word retrieval in amyotrophic lateral sclerosis: a functional magnetic resonance imaging study. Brain 2004;127:1507–17. 10.1093/brain/awh170 [DOI] [PubMed] [Google Scholar]
  • 21. Abrahams S, Goldstein LH, Simmons A, et al. . Functional magnetic resonance imaging of verbal fluency and confrontation naming using compressed image acquisition to permit overt responses. Hum Brain Mapp 2003;20, :29–40. 10.1002/hbm.10126 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22. Ardila A, Bernal B, Rosselli M. How localized are language brain areas? A review of Brodmann areas involvement in oral language. Arch Clin Neuropsychol 2016;31:112–22. 10.1093/arclin/acv081 [DOI] [PubMed] [Google Scholar]
  • 23. Black HA, Leighton DJ, Cleary EM, et al. . Genetic epidemiology of motor neuron disease-associated variants in the Scottish population. Neurobiol Aging 2017;51:178.e11–178.e20. 10.1016/j.neurobiolaging.2016.12.013 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24. Gregory JM, Elliot E, McDade K, et al. . Neuronal clusterin expression is associated with cognitive protection in amyotrophic lateral sclerosis. Neuropathol Appl Neurobiol 2019. 10.1111/nan.12575. [Epub ahead of print: 6 Aug 2019]. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25. Wicks P, Abrahams S, Papps B, et al. . Sod1 and cognitive dysfunction in familial amyotrophic lateral sclerosis. J Neurol 2009;256:234–41. 10.1007/s00415-009-0078-0 [DOI] [PubMed] [Google Scholar]
  • 26. Williams SM, Khan G, Harris BT, et al. . TDP-43 protein variants as biomarkers in amyotrophic lateral sclerosis. BMC Neurosci 2017;18:20 10.1186/s12868-017-0334-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27. Brettschneider J, Del Tredici K, Irwin DJ, et al. . Sequential distribution of pTDP-43 pathology in behavioral variant frontotemporal dementia (bvFTD). Acta Neuropathol 2014;127:423–39. 10.1007/s00401-013-1238-y [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28. Gautam M, Jara JH, Kocak N, et al. . Mitochondria, ER, and nuclear membrane defects reveal early mechanisms for upper motor neuron vulnerability with respect to TDP-43 pathology. Acta Neuropathol 2019;137:47–69. 10.1007/s00401-018-1934-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29. Mackenzie IRA, Frick P, Neumann M. The neuropathology associated with repeat expansions in the C9orf72 gene. Acta Neuropathol 2014;127:347–57. 10.1007/s00401-013-1232-4 [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary data

jnnp-2019-320807supp001.pdf (66.9KB, pdf)


Articles from Journal of Neurology, Neurosurgery, and Psychiatry are provided here courtesy of BMJ Publishing Group

RESOURCES