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Record W4324146571 · doi:10.3389/fnagi.2023.1168062

Editorial: Additive or synergistic impacts of sleep, circadian rhythm disturbances and other modifiable risk factors on established and novel plasma biomarkers of Alzheimer's disease pathology

2023· editorial· en· W4324146571 on OpenAlexaboutno aff
Omonigho M. Bubu, Korey Kam, Ankit Parekh, Indu Ayappa

Bibliographic record

VenueFrontiers in Aging Neuroscience · 2023
Typeeditorial
Languageen
FieldMedicine
TopicAlzheimer's disease research and treatments
Canadian institutionsnot available
FundersNational Heart, Lung, and Blood InstituteNational Institute on AgingAmerican Academy of Sleep Medicine FoundationAmerican Academy of Sleep MedicineBrightFocus FoundationNational Institutes of HealthCentre de Coopération Internationale en Recherche Agronomique pour le DéveloppementNational Institute for Occupational Safety and HealthAlzheimer's Association
KeywordsCircadian rhythmDiseaseAlzheimer's diseaseMedicineNeuroscienceInternal medicineGerontologyPsychology

Abstract

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What remains unexamined are the combined effects of sleep disturbances/disorders, circadian rhythm abnormalities and other commonly co-occurring modifiable risk factors on biomarkers of AD pathology. 10,[13][14][15][16] Further, methods to examine the confluence of these exposures have been limited, with potential causal mechanisms linking these synergistic exposures to AD progression yet to be fully understood. This research topic aimed to more deeply examine and understand interactions between sleep, circadian rhythm abnormalities and modifiable risk factors on both established and more importantly, novel plasma AD markers including markers of inflammation and axonal integrity.In our first paper, Carvalho and colleagues https://www.frontiersin.org/articles/10.3389/fnagi.2022.930315/full examined whether sleepiness as measured by the Epworth Sleepiness Scale (ESS) is associated with other biomarkers of Alzheimer's disease (AD), axonal integrity, and inflammation, which may also contribute to neurodegeneration and cognitive decline. This was a cross-sectional analysis of data from 260 cognitively unimpaired adults (>60 years) from the Mayo Clinic Study of Aging.Participants had CSF quantification of AD biomarkers (Aβ42, p-tau, p-tau/Aβ42) in addition to at least one of the following biomarkers [neurofilament light chain (NfL) interleukin-6 (IL-6), IL-10, and tumor necrosis factor-α (TNF-α)]. Adjusting for age, sex, APOε4 status, body mass index, hypertension, dyslipidemia, and prior diagnosis of obstructive sleep apnea. Higher ESS scores were associated with higher CSF IL-6 and NfL, but not with the other CSF biomarkers. A sensitivity analyses however showed ESS scores associated with CSF p-tau/Aβ42 in amyloid positive participants. The findings suggest synergistic associations possibly exist between sleepiness and amyloid levels on p-tau/Aβ42 and this in turn may contribute to vulnerability to sleep disturbance, which may further amyloid accumulation in a feed-forward loop process.Recently, others and we respectively showed vascular risk factors and disturbed sleep each act synergistically with Aβ burden to promote cognitive decline. [17][18][19][20] In addition, Aβ burden and neuroimaging evidence of CVD pathology show additive effects on cognition. [21][22][23][24][25] Xiong and Lei https://www.frontiersin.org/articles/10.3389/fnagi.2022.944283/full provide a timely review on recent advances in our understanding of how sleep and circadian disorders can influence Alzheimer's disease pathology. Firstly, this review covers basic science investigations of how sleep and circadian disturbance can alter both well-known pathological hallmarks of AD: amyloid beta and tau, as well as lesser-known contributions from oxidative stress, blood-brain barrier leakage and brain region susceptibility to sleep fragmentation. Secondly, Xiong and Lei highlight the potential of both non-drug interventions of sleep and circadian disorders such as bright light/physical exercise as well as the effect of more common sleep drug interventions such as melatonin, benzodiazepines and DORAs. Importantly, the review notes that we have made substantial progress in our understanding of the basic mechanisms that control the biological clock and the neural circuits involved in sleep. However, we know very little about how these systems are affected in the brain in neurodegenerative diseases, especially as it relates to with other AD modifiable risk factors including sex, APOE4 status, depression and drug use.We are delighted to publish a report by Nick and colleagues https://www.frontiersin.org/articles/10.3389/fnagi.2022.1025402/full who add to our field the finding of an important neuronal susceptibility to chronic sleep fragmentation. In this paper, the authors examined the role of hypocretin/orexin (HCRT) in hippocampal and locus coeruleus neuronal injury in response to chronic fragmentation of sleep in mice with and without HCRT.Nick et al show that with sleep fragmentation, the presence of HCRT increases amyloid beta while decreasing cholinergic axon projections to the hippocampus, while not influencing sleep disruption effects on locus coeruleus neurons. Their report identifies a molecular mechanism into sleep loss induced neural injury in the hippocampus and provides a rationale to assess the role of HCRT antagonists to prevent such sleep loss induced hippocampal injury.Our final paper in this topic by Turner and colleagues https://www.frontiersin.org/articles/10.3389/fnagi.2022.1017521/full determined the interactive associations of apolipoprotein e4 (APOE-e4), and obstructive sleep apnea (OSA) on biomarkers of Alzheimer's disease and examined for racial/ethnic differences of this association. This study utilized baseline data from 1,387 participants (mean age = 69.73 ± 8.32; 58.6% female; 13.7% Black/African American), 18.4% of the sample had sleep apnea, and 37.9% were APOE-e4 carriers) in the National Alzheimer's Coordinating Center Uniform Dataset (NACC UDS).Biomarkers of AD assessed included CSF Aβ42, hippocampal volume, and white matter hyper intensities (WMH). Performance on the Montreal Cognitive Assessment (MOCA) was used as a surrogate for cognition. Findings showed independent associations of OSA and APOE-e4 with CSF Aβ42, WMH volume and MOCA scores. OSA and APOE-e4 did not interact to affect amyloid pathology; however, in Black/African American subjects, OSA and APOE-e4 interacted with significant associations with WMH and hippocampal volumes. These findings bolster the need for further research exploring the combined effects of modifiable and fixed risk factors for AD, especially in Black/African American populations, where this interaction may partially mediate increased levels of risk.Overall, this special topic section presents evidence-showing associations between sleepiness and neuronal injury markers with sleepiness and amyloid levels showing possible synergistic effects on p-tau/Aβ42. It presents evidence demonstrating that under conditions of sleep fragmentation, hypocretin/orexin is essential for the accumulation of amyloid-β, using WT mice models induced with chronic fragmentation. It presents evidence showing that OSA and APOE-e4 are interactively associated with WHM in Black/African Americans. More importantly, the review highlights the need for more studies that provide a more comprehensive understanding of the mechanisms by which specific neurodegenerative diseases and pathogenic proteins affect the circadian rhythm and sleep system, as well as the interactions linking sleep, and the circadian rhythm system with potential causal mechanisms resulting in synergistic exposure effects on AD progression. This topic remains an open and active area of research because of the continued need to both understand how and when to modify identifiable risk factors; not only across the general population but also with appropriate care and precision among minoritized populations whom may suffer from a combination of under-characterization and under-appreciation in terms of AD risk.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.017
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.016
Meta-epidemiology (narrow)0.0040.001
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0020.001
Science and technology studies0.0020.002
Scholarly communication0.0040.003
Open science0.0040.001
Research integrity0.0110.013
Insufficient payload (model declined to judge)0.0170.010

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.021
GPT teacher head0.294
Teacher spread0.272 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2023
Admission routes1
Has abstractyes

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