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Different tau biomarkers become abnormal at different stages of Alzheimer’s disease, with CSF phospho-tau typically becoming elevated at subthreshold levels of tau-PET binding. To capitalize on the temporal order of tau biomarker-abnormality and capture the earliest changes of tau accumulation, we implemented an observational study design to examine longitudinal changes in tau-PET, cortical thickness and cognitive decline in amyloid-β-positive individuals with elevated CSF p-tau levels (P+) but subthreshold Tau-PET retention (T−). To this end, individuals without dementia (i.e. cognitively unimpaired or mild cognitive impairment, n = 231) were selected from the BioFINDER-2 study. Amyloid-β-positive (A+) individuals were categorized into biomarker groups based on cut-offs for abnormal CSF p-tau217 and 18F-RO948 (Tau) PET, yielding groups of tau-concordant-negative (A+P−T−; n = 30), tau-discordant (i.e. A+P+T−; n = 48) and tau-concordant-positive (A+P+T+; n = 18) individuals. In addition, 135 amyloid-β-negative, tau-negative, cognitively unimpaired individuals served as controls. Differences in annual change in regional tau-PET, cortical thickness and cognition between the groups were assessed using general linear models, adjusted for age, sex, clinical diagnosis and (for cognitive measures only) education. Mean follow-up time was ∼2 years. Longitudinal increase in tau-PET was faster in the A+P+T− group than in the control and A+P−T− groups across medial temporal and neocortical regions, with the highest accumulation rates in the medial temporal lobe. The A+P+T− group showed a slower rate of increase in tau-PET compared to the A+P+T+ group, primarily in neocortical regions. We did not detect differences in yearly change in cortical thickness or in cognitive decline between the A+P+T− and A+P−T− groups. The A+P+T+ group, however, showed faster cognitive decline compared to all other groups. Altogether, these findings suggest that the A+P+T− biomarker profile in persons without dementia is associated with an isolated effect on increased tau-PET accumulation rates but not on cortical thinning and cognitive decline. While this suggests that the tau-discordant biomarker profile is not strongly associated with short-term clinical decline, this group does represent an interesting population for monitoring the effects of interventions with disease-modifying agents on tau accumulation in early Alzheimer’s disease, and for examining the emergence of tau aggregates in Alzheimer’s disease. Further, we suggest updating the AT(N) criteria for Alzheimer’s disease biomarker classification to APT(N).

Background: Different tau biomarkers become abnormal at different stages of Alzheimer’s disease (AD), with CSF p-tau typically being elevated at subthreshold levels of tau-PET binding. To capitalize on the temporal order of tau biomarker-abnormality and capture the earliest changes of tau accumulation, we selected a group of amyloid-β-positive (A+) individuals with elevated CSF p-tau levels but negative tau-PET scans and assessed longitudinal changes in tau-PET, cortical thickness and cognitive decline. Method: Individuals without dementia (i.e., cognitively unimpaired (CU) or mild cognitive impairment, n=231) were selected from the BioFINDER-2 study. These subjects were categorized into biomarker groups based on Gaussian mixture modelling to determine cut-offs for abnormal CSF Aβ42/40 (A; 217 (P; >110 pg/ml) and [ 18F]RO948 tau-PET SUVR within a temporal meta-ROI (T; SUVR >1.40). Resulting groups were: A+P-T- (concordant, n=30), A+P+T- (discordant, n=48) and A+P+T+ (concordant, n=18). We additionally used 135 A- CU individuals (A- CU) as a reference group (Tables 1 and 2). Differences in annual change in regional tau-PET SUVR, cortical thickness and cognition between the A+P+T- group and the other groups were assessed using general linear models, adjusted for age, sex, clinical diagnosis and (for cognitive measures) education. Result: Longitudinal change in tau-PET was faster in the A+P+T- group than in the A- CU and A+P-T- groups across medial temporal and neocortical regions, with the medial temporal increases being more pronounced. The A+P+T- group showed slower rate of increases in tau-PET compared to the A+P+T+ group, primarily in neocortical regions (Figures 1 and 2). We did not detect differences in yearly change in cortical thickness (Figure 3) or in cognitive decline (Figure 3) between the A+P+T- and A+P-T- groups. The A+P+T+ group, however, showed faster cognitive decline compared to all other groups. Conclusion: These findings suggest that the A+P+T- biomarker profile is associated with early tau accumulation, and with relative sparing of cortical thinning and cognitive decline compared to A+P+T+ individuals. Therefore, the A+P+T- group represents an interesting target-group for early anti-tau interventions and for examining the emergence of tau aggregates in early AD.

Amyloid-beta (Aβ) is hypothesized to facilitate the spread of tau pathology beyond the medial temporal lobe (MTL). However, there is evidence that age-related Aβ-independent tau pathology is present outside the MTL (Kaufman et al., Acta Neuropathol, 2018). We examine tau deposition determined by positron emission tomography (PET) in regions typically involved earlier/later in AD and downstream effects on neurodegeneration and cognition in cognitively unimpaired older adults and a low-Aβ subgroup.MethodsWe included 488 adults (40-91 years; low-Aβ: n=355, 65.2±11.5 years) from the BioFINDER-2 study. MTL volumes (dentate gyrus, subiculum (SUB), cornu ammonis 1) and thickness (entorhinal cortex, Brodmann areas (BA)35/36, and parahippocampal cortex) were obtained, using Automated Segmentation for Hippocampal Subfields packages for T1- and T2-weighted magnetic resonance images. Thickness of early/late neocortical AD-regions (anterior cingulate, precuneus/posterior cingulate (PPC), orbitofrontal, inferior parietal cortex; and middle frontal, lateral occipital, and precentral/postcentral gyrus) was determined using FreeSurfer. [18F]RO948- and [18F]flutemetamol-PET standardized uptake value ratios (SUVRs) were calculated for local tau and global/local Aβ. Aβ status was determined using Aβ-PET or cerebrospinal fluid Aβ-42/40 ratio. Global cognition was measured using delayed word-list recall, trail making test B, and animal fluency.ResultsIncreasing age was associated with higher tau-PET SUVRs primarily in MTL/frontal/parietal regions. A significant association between age and local tau-PET remained even when including Aβ-PET as a mediator (Fig. 1).Age and local tau-PET, but not Aβ-PET, where negatively associated with structure in most examined regions (Figs. 2-3). Age-structure associations were serially mediated via tau-PET in regions with early AD pathology (SUB/BA35/PPC). Also, in the low-Aβ subgroup, tau-PET mediated the age-structure (SUB/BA35/PPC) associations (Fig. 3D). Finally, the age-global cognition relationship was serially mediated via MTL tau-PET and subiculum volume, even when including global Aβ-PET as additional mediator (Fig. 4).ConclusionWe observe partially Aβ-independent associations between age and tau-PET signal across the neocortex. Interestingly, partially Aβ-independent tau-PET signal appears to mediate the age-structure associations in and outside the MTL (PPC), also in the low-Aβ group, and the age-MTL structure-cognition associations. This potentially provides in vivo support for Primary Age-related Tauopathy downstream effects on structure, beyond the MTL, and cognition.

Suicide is preventable. Nevertheless, each year 800,000 people die of suicide in the world. While there is evidence indicating that suicide rates de-crease during times of crises, they are expected to increase once the immediate crisis has passed. The COVID-19 pandemic affects risk and pro-tective factors for suicide at each level of the socio-ecological model. Economic downturn, augmented barriers to accessing health care, increased access to suicidal means, inappropriate media reporting at the societal level; deprioritization of mental health and preventive activities at the community level; interpersonal conflicts, neglect and violence at the relationship level; unemployment, poverty, loneliness and hopelessness at the individual level: all these variables contribute to an increase of depression, anxiety, post-traumatic stress disorder, harmful use of alcohol, substance abuse, and ultimately suicide risk. Suicide should be prevented by strengthening universal strategies directed to the entire population, including mitigation of unemployment, poverty and inequalities; prioritization of access to mental health care; responsible media reporting, with information about available support; prevention of increased alcohol intake; and restriction of access to lethal means of suicide. Selective interventions should continue to target known vulnerable groups who are socio-economically disadvantaged, but also new ones such as first responders and health care staff, and the bereaved by COVID-19 who have been deprived of the final contact with loved ones and funerals. Indicated preventive strategies targeting individuals who display suicidal behaviour should focus on available pharmacological and psychological treatments of mental disorders, ensuring proper follow-up and chain of care by increased use of telemedicine and other digital means. The scientific community, health care professionals, politicians and decision-makers will find in this paper a systematic description of the effects of the pandemic on suicide risk at the society, community, family and individual levels, and an overview of how evidence-based suicide preventive interventions should be adapted. Research is needed to investigate which adaptations are effective and in which con-texts.

BackgroundWhole-body vibration (WBV) is a method utilizing vibrating platforms to expose individuals to mechanical vibration. In its various applications, it has been linked to improved muscular, skeletal, metabolic, or cognitive functioning, quality of life, and physiological parameters such as blood pressure. Most evidence concerning WBV is inconclusive and meta-analytical reviews may not readily produce insights since the research has a risk of misunderstandings of vibration parameters and incomplete reporting occurs. This study aims at laying an empirical foundation for reporting guidelines for human WBV studies to improve the quality of reporting and the currently limited comparability between studies.MethodThe Delphi methodology is employed to exploit the integrated knowledge of WBV experts to distil the specific aspects of WBV methodology that should be included in such guidelines. Over three rounds of completing online questionnaires, the expert panel (round 1/2/3: 51/40/37 experts respectively from 17 countries with an average of 19.4 years of WBV research experience) rated candidate items.ResultsA 40-item list was established based on the ratings of the individual items from the expert panel with a large final consensus (94.6%).ConclusionThe final consensus indicates comprehensiveness and valuableness of the list. The results are in line with previous guidelines but expand these extensively. The present results may therefore serve as a foundation for updated guidelines for reporting human WBV studies in order to improve the quality of reporting of WBV studies, improve comparability of studies and facilitate the development of WBV study designs.