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Journal of Neuropathology and Experimental Neurology logoLink to Journal of Neuropathology and Experimental Neurology
. 2021 Jul 16;80(7):649–651. doi: 10.1093/jnen/nlab050

LATE Neuropathologic Changes with Little or No Alzheimer Disease is Common and is Associated with Cognitive Impairment but Not Frontotemporal Dementia

Peter T Nelson 1,
PMCID: PMC8357339  PMID: 34270750

Abstract

Limbic-predominant age-related TDP-43 encephalopathy neuropathologic changes (LATE-NC) often occur in aged brains that also contain appreciable Alzheimer disease neuropathologic changes (ADNC). Question has arisen as to whether LATE-NC can occur independently of ADNC. We evaluated data from the University of Kentucky Alzheimer’s Disease Research Center autopsy cohort (383 included subjects) to address 2 questions: (i) Is LATE-NC seen in the absence of ADNC, outside of persons who had the frontotemporal dementia (FTD) clinical syndrome? and (ii) is LATE-NC associated with cognitive impairment across the full spectrum of ADNC severity? In the present study, the pathologic combination of LATE-NC (Stage >1) and low/no ADNC was common: 8.9% (34/383) of all subjects (including demented and non-demented individuals) showed this combination. There were no FTLD-TDP cases to be included from the community-based cohort. Across a broad range of ADNC severity, the presence of LATE-NC was associated with impaired cognition but was never associated with a FTD clinical syndrome.

Keywords: Community-based, Frontotemporal lobar degeneration (FTLD), Hippocampal sclerosis, Human, Lewy, Neuropathology

INTRODUCTION

The terminology and classification recommended for the neuropathologic changes of limbic-predominant age-related TDP-43 encephalopathy (LATE-NC) (1) have generated controversy and some important questions (2, 3). Two such questions are: (i) Is LATE-NC sometimes seen in the absence of Alzheimer disease neuropathologic changes (ADNC), outside of frontotemporal dementia (FTD) cases? and (ii) Is LATE-NC associated with cognitive impairment across the full spectrum of ADNC severity? Data are presented here to help address those questions.

MATERIALS AND METHODS

The University of Kentucky AD Research Center (UK-ADRC) operates a community-based autopsy cohort, recruiting cognitively normal subjects and following them longitudinally, often over decades, to autopsy (4). Methods of recruitment, autopsy diagnoses, and other aspects of the UK-ADRC autopsy cohort workflow have been described previously (5, 6). Occasionally, subjects are followed in the UK-ADRC cohort that derived from a local dementia clinic, and were demented at recruitment. Such individuals tend to have frontotemporal lobar degeneration (FTLD) and other rare conditions; these were excluded from the current study. To be clear, if a subject had been followed from normal status in the community-based cohort and developed full-blown FTD/FTLD, they would have been included in the present study. Otherwise, criteria for inclusion were: >75.0 years of age at death; hippocampal TDP-43 proteinopathy data were available; and final Mini-Mental State Examination (MMSE) scores were available.

RESULTS

Data on included subjects are presented in Table 1. Numbers of individuals autopsied, stratified by neuropathologic findings (Braak neurofibrillary tangle [NFT] stages and LATE-NC status [LATE-NC Stage >1]) are shown in Table 2. LATE-NC Stage > 1 was selected as the cut-point because that degree of pathologic involvement was shown previously to correlate with cognitive symptoms (7). Overall, 31.6% (121/383) of all cases had autopsy-confirmed LATE-NC Stage >1 (hereafter referred to as “LATE-NC+”) and 8.9% of all cases (34/383) had the combination of LATE-NC+ with Braak NFT Stage <IV (bolded numbers in Table 2).

TABLE 1.

Demographics, APOE, and Copathologies of Included Subjects (n = 383)

LATE-NC-* LATE-NC+* p-value**
N 262 121
Age of death, average (Avg) 87.8 89.4 0.014
Sex, %F 61.5 61.1 0.96
MMSE, Avg 24.0 17.7 6.4 E-13
APOE 4+ (%) 34.7 38.8 0.44
Brain weight (g), Avg 1174.5 1119.2 0.001
Cortical Lewy body pathology (%) 8.8 11.6 0.39
Arteriolosclerosis (0–3), Avg 1.08 1.23 0.13
Cerebral amyloid angiopathy (0–3), Avg 0.73 1.08 0.002
Gross infarcts, Avg 0.54 0.50 0.79
Braak NFT stage, Avg 3.35 4.32 n/a
CERAD neuritic plaque density (0–3), Avg 1.47 2.05 n/a
Hippocampal sclerosis (%) 5.3 68.6 1.7 E-52
*

Limbic-predominant age-related TDP-43 encephalopathy neuropathologic changes (LATE-NC) indicates LATE-NC Stage >1.

**

Comparing LATE-NC- versus LATE-NC+; Student t-test, 2-tailed.

TABLE 2.

Numbers of Included Subjects Autopsied at the UK-ADRC, Stratified by Braak NFT Stages and LATE-NC* Status

Braak NFT Stages LATE-NC-* LATE-NC+* Total
0–I 45 11 56
II 63 15 78
III 36 8 44
IV 26 9 35
V 54 43 97
VI 38 35 73
Grand total 262 121 383
*

Limbic-predominant age-related TDP-43 encephalopathy neuropathologic changes (LATE-NC) indicates LATE-NC Stage >1.

Whereas data on demographics, co-pathologies, and APOE information for all included subjects are provided in Table 1, Table 3 shows data comparing LATE-NC− and LATE-NC+ among individuals that had Braak NFT Stages 0–III. Table 4 shows the average final MMSE scores of all the subjects presented in Table 1. The lower MMSE scores in low-Braak NFT Stage cases with LATE-NC (Table 4) were not due to low-Braak LATE-NC cases having a different frequency of large infarcts, arteriolosclerosis, cerebral amyloid angiopathy, or Lewy body disease (Table 3).

TABLE 3.

Demographics, APOE, and Copathologies: Braak NFT Stage 0-III Cases Only

LATE-NC-* LATE-NC+* p-value**
N 144 34
Age of death, average (Avg) 87.6 90.9 0.004
Sex, %F 61.1 58.8 0.91
MMSE, Avg 27.1 21.8 3.7 E-09
APOE 4+, % 23.6 30.6 0.71
Brain weight (gms), Avg 1202.1 1169.4 0.19
Cortical Lewy body pathology, % 7.6 5.9 0.73
Arteriolosclerosis (0–3), Avg 1.03 1.15 0.45
Cerebral amyloid angiopathy (0–3), Avg 0.56 0.50 0.72
Gross infarcts, Avg 0.57 0.76 0.46
Braak NFT Stage, Avg 1.92 1.82 n/a
CERAD Neuritic plaque density (0–3), Avg 0.60 0.44 n/a
Hippocampal sclerosis, % 4.1 67.6 4.3 E-25
*

Limbic-predominant age-related TDP-43 encephalopathy neuropathologic changes (LATE-NC) indicates LATE-NC Stage >1.

**

Comparing LATE-NC- versus LATE-NC+; Student t-test, 2-tailed.

TABLE 4.

Average Final MMSE Scores, Stratified by Braak NFT Stages and LATE-NC* Status

Braak NFT Stages LATE-NC-* LATE-NC+*
0–I 27.1 23.0
II 27.5 19.5
III 26.4 24.4
IV 24.5 17.2
V 21.0 17.0
VI 15.9 14.9
Total (average) 24.0 17.7
*

Limbic-predominant age-related TDP-43 encephalopathy neuropathologic changes (LATE-NC) indicates LATE-NC Stage >1.

Number of cases followed from normal status with primary progressive aphasia (PPA) or behavioural variant FTD (bvFTD) in the cohort = 0.

DISCUSSION

The pathologic combination of LATE-NC+ and low/no ADNC is commonly encountered in community-based cohorts such as ours. In the current study, across a broad range of ADNC severity, LATE-NC+ pathology was associated with impaired cognition, but did not imply a FTD clinical syndrome.

Prior reports from other community-based autopsy cohorts have yielded similar results, with the caveat that readouts change according to site-specific recruitment methods, diagnostic thresholds and cut-points applied, etc. In the Rush University community-based autopsy cohort (8), 978 persons had ADNC and/or LATE-NC. Among these 978 individuals, 91 had LATE-NC without ADNC (8). Other community-based autopsy cohorts have documented similar results among the elderly, with substantial numbers of non-FTD (clinically), non-ADNC (pathologically) associated TDP-43 proteinopathy (9–12). It has also been reported previously that the presence of LATE-NC was associated with worse cognition for a given level of other pathologic changes (e.g. ADNC) (1, 13–15). The data presented here are thus confirmatory and in-line with prior studies. However, substantial differences in perspective still persists in the field.

Some discrepancies in points of view may stem from the procedures by which different academic autopsy cohorts recruit their subjects (16). Studies employing clinic-based cohorts have achieved many spectacular advances in the field of dementia research. However, as compared with the total population of a region at a given time, clinic-based cohorts are often enriched in early onset, relatively severe dementia phenotypes, especially FTLD and other unusual conditions. By contrast, community-based cohorts are more representative of common pathologic phenotypes in brain aging (16). These cohorts typically comprise older subjects, many dying beyond age 85 with subtle (or no) detected cognitive loss. Subjects in community-based cohorts with dementia show mixed pathologies more often than not, including prevalent vascular pathologies and LATE-NC (1, 16).

Among the brains with low-Braak NFT stages (Table 3), the presence and severity of neuritic amyloid plaques was also very low, as expected, with or without comorbid LATE-NC+. Also, as expected, hippocampal sclerosis was higher in the LATE-NC+ group. As discussed previously (1, 17, 18), hippocampal sclerosis seems likely to be mechanistically downstream of the TDP-43 proteinopathy in LATE-NC.

LATE-NC does not tend to evolve to FTD/FTLD. Quite the contrary: the vast majority of research participants in community-based cohorts who died with LATE-NC lacked an FTD-type syndrome clinically (1, 19). In over 3 decades of operation, no UK-ADRC case followed from normal cognitive status has developed the full-blown clinical and pathological features of FTLD-TDP (see reference [19]). Lifetime risk of LATE-NC is >100 times greater than for FTLD-TDP and each of these diseases affects a different age range (1, 20, 21). The neocortical pathology of FTLD-TDP is also far more severe than that seen in LATE-NC (19). Nonetheless, there are overlapping biological pathways, and genetic pleiotropy, indicating pathogenetic connections between LATE-NC, ADNC, and FTLD-TDP, as there are overlapping pathways and genetic pleiotropy for ADNC and Lewy body diseases, and for many other subtypes of dementia-inducing diseases (22).

ACKNOWLEDGMENTS

Heartfelt thanks to research volunteers and to clinicians and staff at the UK-ADRC. Thanks to Dr. Karin B. Nelson for editing the manuscript and to Dr. Erin L. Abner for curating the data.

Funding included NIH grants P30 AG028383, R01 AG057187, R01 AG042475, R01 AG054060, and RF1 NS118584.

The authors have no duality or conflicts of interest to declare.

REFERENCES

  • 1.Nelson PT, Dickson DW, Trojanowski JQ, et al.  Limbic-predominant age-related TDP-43 encephalopathy (LATE): consensus working group report. Brain  2019;142:1503–27 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Josephs KA, Mackenzie I, Frosch MP, et al.  LATE to the PART-y. Brain  2019;142:e47. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Nelson PT, Dickson DW, Trojanowski JQ, et al.  Reply: LATE to the PART-y. Brain  2019;142:e48. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Schmitt FA, Nelson PT, Abner E, et al.  University of Kentucky Sanders-Brown healthy brain aging volunteers: Donor characteristics, procedures, and neuropathology. Curr Alzheimers Res  2012;9:724–33 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Nelson PT, Gal Z, Wang WX, et al.  TDP-43 proteinopathy in aging: associations with risk-associated gene variants and with brain parenchymal thyroid hormone levels. Neurobiol Dis  2019;125:67–76 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Smith VD, Bachstetter AD, Ighodaro E, et al.  Overlapping but distinct TDP-43 and tau pathologic patterns in aged hippocampi. Brain Pathol  2018;28:264–73 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Nag S, Yu L, Boyle PA, et al.  TDP-43 pathology in anterior temporal pole cortex in aging and Alzheimer's disease. Acta Neuropathol Commun  2018;6:33. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Kapasi A, Yu L, Boyle PA, et al.  Limbic-predominant age-related TDP-43 encephalopathy, ADNC pathology, and cognitive decline in aging. Neurology  2020;95:e1951–e62 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Robinson JL, Corrada MM, Kovacs GG, et al.  Non-Alzheimer's contributions to dementia and cognitive resilience in the 90+ study. Acta Neuropathol  2018;136:377–88. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Hunter S, Hokkanen SRK, Keage HAD, et al.  TDP-43 related neuropathologies and phosphorylation state: Associations with age and clinical dementia in the Cambridge city over-75s cohort. J Alzheimers Dis  2020. [DOI] [PubMed] [Google Scholar]
  • 11.Kovacs GG, Milenkovic I, Wohrer A, et al.  Non-Alzheimer neurodegenerative pathologies and their combinations are more frequent than commonly believed in the elderly brain: a community-based autopsy series. Acta Neuropathol  2013;126:365–84 [DOI] [PubMed] [Google Scholar]
  • 12.Flanagan ME, Cholerton B, Latimer CS, et al.  TDP-43 neuropathologic associations in the nun study and the Honolulu-Asia aging study. J Alzheimers Dis  2018;66:1549–58 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Nelson PT, Abner EL, Schmitt FA, et al.  Modeling the association between 43 different clinical and pathological variables and the severity of cognitive impairment in a large autopsy cohort of elderly persons. Brain Pathol  2010;20:66–79 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Nag S, Yu L, Wilson RS, et al.  TDP-43 pathology and memory impairment in elders without pathologic diagnoses of AD or FTLD. Neurology  2017;88:653–60 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Murray ME, Cannon A, Graff-Radford NR, et al.  Differential clinicopathologic and genetic features of late-onset amnestic dementias. Acta Neuropathol  2014;128:411–21 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Schneider JA, Aggarwal NT, Barnes L, et al.  The neuropathology of older persons with and without dementia from community versus clinic cohorts. JAD  2009;18:691–701 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Nelson PT, Jicha GA, Wang WX, et al.  ABCC9/SUR2 in the brain: implications for hippocampal sclerosis of aging and a potential therapeutic target. Ageing Res Rev  2015;24:111–25 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Ighodaro ET, Abner EL, Fardo DW, et al. ; the Alzheimer's Disease Neuroimaging Initiative (ADNI). Risk factors and global cognitive status related to brain arteriolosclerosis in elderly individuals. J Cereb Blood Flow Metab  2017;37:201–16. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Robinson JL, Porta S, Garrett FG, et al.  Limbic-predominant age-related TDP-43 encephalopathy differs from frontotemporal lobar degeneration. Brain  2020;143:2844–57 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Coyle-Gilchrist IT, Dick KM, Patterson K, et al.  Prevalence, characteristics, and survival of frontotemporal lobar degeneration syndromes. Neurology  2016;86:1736–43 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Knopman DS, Roberts RO.  Estimating the number of persons with frontotemporal lobar degeneration in the US population. J Mol Neurosci  2011;45:330–5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Chornenkyy Y, Fardo DW, Nelson PT.  Tau and TDP-43 proteinopathies: Kindred pathologic cascades and genetic pleiotropy. Lab Invest  2019;99:993–1007 [DOI] [PMC free article] [PubMed] [Google Scholar]

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