Objective Neurofibrillary pathology has a stereotypic progression in Alzheimer's disease (AD) that is encapsulated in the Braak staging scheme. Some AD cases do not fit the Braak staging scheme and are considered atypical. The purpose of this study was to compare clinical and pathological features of typical AD with atypical AD that had either hippocampal sparing (HpSp) and limbic-predominant (LP) neurofibrillary pathology. Methods A mathematical algorithm was devised to classify AD cases into typical, HpSp and LP according to the density and distribution of neurofibrillary tangle (NFT) counts from thioflavin S fluorescent microscopy in three cortical regions and two Hp sectors. The algorithm was applied to NFT counts of 889 cases of AD (409 men and 480 women; age at death: 37-103 years). Cases so classified were compared on clinical, demographic, pathological and genetic grounds. An independent series of 113 cases of AD were similarly evaluated to validate findings from the initial cohort. Findings In comparison to typical AD, HpSp (n=97) had higher NFT densities in cortical areas and lower NFT densities in hippocampus, while LP (n=127) had lower NFT densities in cortical areas and higher NFT densities in the Hp. HpSp had less Hp atrophy than typical AD (11%) and LP (14%). HpSp were younger, with a higher proportion of men, whereas LP was older, with a higher proportion of women. MAPT H1H1 genotype was more frequent in LP compared with HpSp, but not between LP and typical AD. APOE ε4 allele status differed among AD subtypes only when age of onset was considered. Clinical presentation, age of onset, disease duration, and rate of decline differed among the AD subtypes. The findings were confirmed in a replication cohort. Interpretation Our data supports the hypothesis of distinct clinicopathologic subtypes of AD. HpSp and LP AD account for about 25% of AD and are important to consider in clinical, genetic, biomarker and treatment studies.

The Dementia with Lewy Bodies (DLB) Consortium has refined its recommendations about the clinical and pathologic diagnosis of DLB, updating the previous report, which has been in widespread use for the last decade. The revised DLB consensus criteria now distinguish clearly between clinical features and diagnostic biomarkers, and give guidance about optimal methods to establish and interpret these. Substantial new information has been incorporated about previously reported aspects of DLB, with increased diagnostic weighting given to REM sleep behavior disorder and 123iodine-metaiodobenzylguanidine (MIBG) myocardial scintigraphy. The diagnostic role of other neuroimaging, electrophysiologic, and laboratory investigations is also described. Minor modifications to pathologic methods and criteria are recommended to take account of Alzheimer disease neuropathologic change, to add previously omitted Lewy-related pathology categories, and to include assessments for substantia nigra neuronal loss. Recommendations about clinical management are largely based upon expert opinion since randomized controlled trials in DLB are few. Substantial progress has been made since the previous report in the detection and recognition of DLB as a common and important clinical disorder. During that period it has been incorporated into DSM-5, as major neurocognitive disorder with Lewy bodies. There remains a pressing need to understand the underlying neurobiology and pathophysiology of DLB, to develop and deliver clinical trials with both symptomatic and disease-modifying agents, and to help patients and carers worldwide to inform themselves about the disease, its prognosis, best available treatments, ongoing research, and how to get adequate support.

Cytokine dysregulation is believed to play a key role in the remodeling of the immune system at older age, with evidence pointing to an inability to fine-control systemic inflammation, which seems to be a marker of unsuccessful aging. This reshaping of cytokine expression pattern, with a progressive tendency toward a pro-inflammatory phenotype has been called “inflamm-aging.” Despite research there is no clear understanding about the causes of “inflamm-aging” that underpin most major age-related diseases, including atherosclerosis, diabetes, Alzheimer’s disease, rheumatoid arthritis, cancer, and aging itself. While inflammation is part of the normal repair response for healing, and essential in keeping us safe from bacterial and viral infections and noxious environmental agents, not all inflammation is good. When inflammation becomes prolonged and persists, it can become damaging and destructive. Several common molecular pathways have been identified that are associated with both aging and low-grade inflammation. The age-related change in redox balance, the increase in age-related senescent cells, the senescence-associated secretory phenotype (SASP) and the decline in effective autophagy that can trigger the inflammasome, suggest that it may be possible to delay age-related diseases and aging itself by suppressing pro-inflammatory molecular mechanisms or improving the timely resolution of inflammation. Conversely there may be learning from molecular or genetic pathways from long-lived cohorts who exemplify good quality aging. Here, we will discuss some of the current ideas and highlight molecular pathways that appear to contribute to the immune imbalance and the cytokine dysregulation, which is associated with “inflammageing” or parainflammation. Evidence of these findings will be drawn from research in cardiovascular disease, cancer, neurological inflammation and rheumatoid arthritis.

Progressive supranuclear palsy (PSP) is a movement disorder with prominent tau neuropathology. Brain diseases with abnormal tau deposits are called tauopathies, the most common being Alzheimer’s disease. Environmental causes of tauopathies include repetitive head trauma associated with some sports. To identify common genetic variation contributing to risk for tauopathies, we carried out a genome-wide association study of 1,114 PSP cases and 3,247 controls (Stage 1) followed up by a second stage where 1,051 cases and 3,560 controls were genotyped for Stage 1 SNPs that yielded P ≤ 10−3. We found significant novel signals (P < 5 × 10−8) associated with PSP risk at STX6, EIF2AK3, and MOBP. We confirmed two independent variants in MAPT affecting risk for PSP, one of which influences MAPT brain expression. The genes implicated encode proteins for vesicle-membrane fusion at the Golgi-endosomal interface, for the endoplasmic reticulum unfolded protein response, and for a myelin structural component.