Omics sciences for systems biology in Alzheimer's disease: State-of-the-art of the evidence.

Alzheimer's disease (AD) is characterized by non-linear, genetic-driven pathophysiological dynamics with high heterogeneity in biological alterations and disease spatial-temporal progression. Human in-vivo and post-mortem studies point out a failure of multi-level biological networks underlying AD pathophysiology, including proteostasis (amyloid-ß and tau), synaptic homeostasis, inflammatory and immune responses, lipid and energy metabolism, oxidative stress. Therefore, a holistic, systems-level approach is needed to fully capture AD multi-faceted pathophysiology. Omics sciences - genomics, epigenomics, transcriptomics, proteomics, metabolomics, lipidomics - embedded in the systems biology (SB) theoretical and computational framework can generate explainable readouts describing the entire biological continuum of a disease. Such path in Neurology is encouraged by the promising results of omics sciences and SB approaches in Oncology, where stage-driven pathway-based therapies have been developed in line with the precision medicine paradigm. Multi-omics data integrated in SB network approaches will help detect and chart AD upstream pathomechanistic alterations and downstream molecular effects occurring in preclinical stages. Finally, integrating omics and neuroimaging data - i.e., neuroimaging-omics - will identify multi-dimensional biological signatures essential to track the clinical-biological trajectories, at the subpopulation or even individual level.

Systems Biology Methods for Alzheimer's Disease Research Toward Molecular Signatures, Subtypes, and Stages and Precision Medicine: Application in Cohort Studies and Trials.

Alzheimer's disease (AD) is a complex multifactorial disease, involving a combination of genomic, interactome, and environmental factors, with essential participation of (a) intrinsic genomic susceptibility and (b) a constant dynamic interplay between impaired pathways and central homeostatic networks of nerve cells. The proper investigation of the complexity of AD requires new holistic systems-level approaches, at both the experimental and computational level. Systems biology methods offer the potential to unveil new fundamental insights, basic mechanisms, and networks and their interplay. These may lead to the characterization of mechanism-based molecular signatures, and AD hallmarks at the earliest molecular and cellular levels (and beyond), for characterization of AD subtypes and stages, toward targeted interventions according to the evolving precision medicine paradigm. In this work, an update on advanced systems biology methods and strategies for holistic studies of multifactorial diseases-particularly AD-is presented. This includes next-generation genomics, neuroimaging and multi-omics methods, experimental and computational approaches, relevant disease models, and latest genome editing and single-cell technologies. Their progressive incorporation into basic research, cohort studies, and trials is beginning to provide novel insights into AD essential mechanisms, molecular signatures, and markers toward mechanism-based classification and staging, and tailored interventions. Selected methods which can be applied in cohort studies and trials, with the European Prevention of Alzheimer's Dementia (EPAD) project as a reference example, are presented and discussed.

Non-Pharmacologic Interventions for Older Adults with Subjective Cognitive Decline: Systematic Review, Meta-Analysis, and Preliminary Recommendations.

In subjective cognitive decline (SCD), older adults present with concerns about self-perceived cognitive decline but are found to have clinically normal function. However, a significant proportion of those adults are subsequently found to develop mild cognitive impairment, Alzheimer's dementia or other neurocognitive disorder. In other cases, SCD may be associated with mood, personality, and physical health concerns. Regardless of etiology, adults with SCD may benefit from interventions that could enhance current function or slow incipient cognitive decline. The objective of this systematic review and meta-analysis, conducted in accordance with the PRISMA guidelines, is to examine the benefits of non-pharmacologic intervention (NPI) in persons with SCD. Inclusion criteria were studies of adults aged 55 + with SCD defined using published criteria, receiving NPI or any control condition, with cognitive, behavioural, or psychological outcomes in controlled trails. Published empirical studies were obtained through a standardized search of CINAHL Complete, Cochrane Central Register of Controlled Trials, MEDLINE with Full Text, PsycINFO, and PsycARTICLES, supplemented by a manual retrieval of relevant articles. Study quality and bias was determined using PEDro. Nine studies were included in the review and meta-analysis. A wide range of study quality was observed. Overall, a small effect size was found on cognitive outcomes, greater for cognitive versus other intervention types. The available evidence suggests that NPI may benefit current cognitive function in persons with SCD. Recommendations are provided to improve future trials of NPI in SCD.

Blood-based biomarkers in Alzheimer disease: Current state of the science and a novel collaborative paradigm for advancing from discovery to clinic.

The last decade has seen a substantial increase in research focused on the identification of blood-based biomarkers that have utility in Alzheimer's disease (AD). Blood-based biomarkers have significant advantages of being time- and cost-efficient as well as reduced invasiveness and increased patient acceptance. Despite these advantages and increased research efforts, the field has been hampered by lack of reproducibility and an unclear path for moving basic discovery toward clinical utilization. Here we reviewed the recent literature on blood-based biomarkers in AD to provide a current state of the art. In addition, a collaborative model is proposed that leverages academic and industry strengths to facilitate the field in moving past discovery only work and toward clinical use. Key resources are provided. This new public-private partnership model is intended to circumvent the traditional handoff model and provide a clear and useful paradigm for the advancement of biomarker science in AD and other neurodegenerative diseases.

Current insights into the pathophysiology of Alzheimer's disease: selecting targets for early therapeutic intervention.

The development of therapies for Alzheimer's disease (AD) presents numerous challenges for physicians, researchers, and the pharmaceutical industry, with many drug candidates showing promise at one stage of clinical research only to fall at the next hurdle. A great number of drugs with a variety of targets and clusters of mechanisms are currently in various stages of basic and clinical investigation. However, these hypothesis-derived agents may be tested much too late in the chronically progressive disease process to demonstrate meaningful effects or outcomes, mirroring the clinical syndromal scenario in which the underlying pathophysiological disease condition is frequently diagnosed extremely late. Moreover, the complexity of the disease calls for developments and improvements in study designs and methods modeled for different target populations and disease stages (e.g. asymptomatic to prodromal to syndromal). New integrated concepts and models of disease pathophysiology, use of validated and qualified biomarkers, outcomes and endpoints, particularly the development of a surrogate outcome, may allow targeting of characteristic mechanism-derived therapies of specifically affected biological systems at different time-points in the disease process, providing increasing opportunities for early and preventative intervention. A core set of feasible diagnostic and predictive biomarkers is already validated and in the process of standardization; however, continued and intensified research efforts will likely reveal a variety of novel biomarkers that grasp the complexity of the underlying disease process. In the future, trials of drugs to modify and prevent AD may embrace enrichment strategies and maybe be stratified by disease stage, genetic factors as well as by disease endophenotypes.

Biomarker candidates of neurodegeneration in Parkinson's disease for the evaluation of disease-modifying therapeutics.

Reliable biomarkers that can be used for early diagnosis and tracking disease progression are the cornerstone of the development of disease-modifying treatments for Parkinson's disease (PD). The German Society of Experimental and Clinical Neurotherapeutics (GESENT) has convened a Working Group to review the current status of proposed biomarkers of neurodegeneration according to the following criteria and to develop a consensus statement on biomarker candidates for evaluation of disease-modifying therapeutics in PD. The criteria proposed are that the biomarker should be linked to fundamental features of PD neuropathology and mechanisms underlying neurodegeneration in PD, should be correlated to disease progression assessed by clinical rating scales, should monitor the actual disease status, should be pre-clinically validated, and confirmed by at least two independent studies conducted by qualified investigators with the results published in peer-reviewed journals. To date, available data have not yet revealed one reliable biomarker to detect early neurodegeneration in PD and to detect and monitor effects of drug candidates on the disease process, but some promising biomarker candidates, such as antibodies against neuromelanin, pathological forms of α-synuclein, DJ-1, and patterns of gene expression, metabolomic and protein profiling exist. Almost all of the biomarker candidates were not investigated in relation to effects of treatment, validated in experimental models of PD and confirmed in independent studies.

FDG-PET mapping the brain substrates of visuo-constructive processing in Alzheimer's disease.

The anatomical basis of visuo-constructive impairment in AD is widely unexplored. FDG-PET can be used to determine functional neuronal networks underlying specific cognitive performance in the human brain. In the present study, we determined the pattern of cortical metabolism that was associated with visuo-constructive performance in AD. We employed two widely used visuo-constructive tests that differ in their demand on visual perception and processing capacity. Resting state FDG-PET scans were obtained in 29 probable AD patients, and cognitive tests were administered. We made a voxel-based regression analysis of FDG uptake to scores in visual test performance, using the SPM5 software. Performance in the CERAD Drawing test correlated with FDG uptake in the bilateral inferior temporal gyri, bilateral precuneus, right cuneus, right supramarginal gyrus and right middle temporal gyrus covering areas of dorsal and ventral visual streams. In contrast, performance in the more complex RBANS Figure Copy test correlated with FDG uptake in the bilateral fusiform gyri, right inferior temporal gyrus, left anterior cingulate gyrus, left parahippocampal gyrus, right middle temporal gyrus and right insula, encompassing the ventral visual stream and areas of higher-level visual processing. The study revealed neuronal networks underlying impaired visual test performance in AD. The extent of involvement of visual and higher order association cortex increased with greater test complexity. From a clinical point of view, both of these widely used visual tests evaluate the integrity of complementary cortical networks and may contribute complementary information on the integrity of visual processing in AD.

Caffeic acid phenethyl ester prevents neonatal hypoxic-ischaemic brain injury.

Neonatal hypoxic-ischaemic (HI) brain injury resulting in encephalopathy is a leading cause of morbidity and mortality with no effective treatment. Here we show that caffeic acid phenethyl ester (CAPE), an active component of propolis, administered either before or after an HI insult, significantly prevents HI-induced neonatal rat brain damage in the cortex, hippocampus and thalamus. In addition to blocking HI-induced caspase 3 activation, CAPE also inhibits HI-mediated expression of inducible nitric oxide synthase and caspase 1 in vivo and potently blocks nitric oxide-induced neurotoxicity in vitro. Furthermore, CAPE directly inhibits Ca2+-induced cytochrome c release from isolated brain mitochondria. Thus, CAPE induces neuroprotection against HI-induced neuronal death, possibly by blocking HI-induced inflammation and/or directly inhibiting the HI-induced neuronal death pathway. CAPE may therefore be a novel effective therapy for preventing neonatal HI injury.

Relation between responses to repetitive transcranial magnetic stimulation and partial sleep deprivation in major depression.

Repetitive transcranial magnetic stimulation (rTMS) has been found to ameliorate symptoms in major depression. However, its mechanism of action has to be further elucidated and the relationship between responses to rTMS and other antidepressant interventions except electroconvulsive therapy has not been investigated to date. Here we studied in an open trial whether the response to partial sleep deprivation may predict the clinical outcome of rTMS treatment. Thirty-three drug-free patients suffering from a major depressive episode underwent a partial sleep deprivation at least 5 days prior to rTMS and subsequently received 10 sessions of 10 Hz rTMS of the left prefrontal cortex. After rTMS a significant overall improvement of 32% on the Hamilton Rating Scale for Depression was observed. Forty-two percent of patients showed an antidepressant response after rTMS. Amelioration of depression after partial sleep deprivation was inversely correlated with improvement after rTMS. There was no clinically applicable predictive value of the response to partial sleep deprivation for the outcome after rTMS. Apparently, different subgroups of depressed patients respond to both interventions. Further studies are needed to characterize the response to rTMS by means of clinical and biological parameters.