From Analysis:
Digital biomarkers and AI-driven early detection of neurodegeneration
Can speech, gait, retinal imaging, sleep, and smartphone data detect neurodegeneration 5-10 years before diagnosis?
These hypotheses emerged from the same multi-agent debate that produced this hypothesis.
The circadian clock system exerts profound control over cellular proteostasis through coordinate regulation of autophagy, proteasomal degradation, and heat shock protein expression. At the molecular core of this system lies the CLOCK/BMAL1 heterodimer, which functions as the master transcriptional regulator of circadian gene expression. CLOCK (Circadian Locomotor Output Cycles Kaput) is a basic helix-loop-helix (bHLH) transcription factor that heterodimerizes with BMAL1 (Brain and Muscle ARNT-Like 1) to bind E-box elements in the promoters of numerous clock-controlled genes, including those encoding proteostatic machinery.
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Major progress has been made in elucidating the molecular, cellular, and supracellular mechanisms underlying aging. This has spurred the birth of geroscience, which aims to identify actionable hallmarks of aging. Aging can be viewed as a process that is promoted by overactivation of gerogenes, i.e., genes and molecular pathways that favor biological aging, and alternatively slowed down by gerosuppressors, much as cancers are caused by the activation of oncogenes and prevented by tumor suppressors. Such gerogenes and gerosuppressors are often associated with age-related diseases in human population studies but also offer targets for modeling age-related diseases in animal models and treating or preventing such diseases in humans. Gerogenes and gerosuppressors interact with environmental, behavioral, and psychological risk factors to determine the heterogeneous trajectory of biological aging and disease manifestation. New molecular profiling technologies enable the characterization of ge
BACKGROUND: Insomnia, affecting 30-40% of the global population, is a debilitating sleep disorder linked to significant health risks, including cardiovascular disease, metabolic syndrome, and neurodegeneration. Emerging evidence implicates dysregulation of circadian clock genes as a core molecular mechanism underlying its pathophysiology. METHODS AND RESULTS: This review synthesizes current knowledge on how core clock genes regulate the sleep-wake cycle via transcription-translation feedback loops, incorporating recent insights into regulatory layers such as SUMOylation. We discuss how genetic polymorphisms and epigenetic modifications disrupt circadian rhythmicity, predisposing individuals to insomnia. The molecular pathways linking clock dysfunction to insomnia encompass dysregulation of neurotransmitter systems (melatonin, serotonin, GABA, dopamine), metabolic imbalance, neuroinflammation, mitochondrial oxidative stress, and altered synaptic plasticity. Chronic circadian misalignmen
In 2008, we published the first set of guidelines for standardizing research in autophagy. Since then, this topic has received increasing attention, and many scientists have entered the field. Our knowledge base and relevant new technologies have also been expanding. Thus, it is important to formulate on a regular basis updated guidelines for monitoring autophagy in different organisms. Despite numerous reviews, there continues to be confusion regarding acceptable methods to evaluate autophagy, especially in multicellular eukaryotes. Here, we present a set of guidelines for investigators to select and interpret methods to examine autophagy and related processes, and for reviewers to provide realistic and reasonable critiques of reports that are focused on these processes. These guidelines are not meant to be a dogmatic set of rules, because the appropriateness of any assay largely depends on the question being asked and the system being used. Moreover, no individual assay is perfect fo
Neurodegenerative diseases encompass a large group of conditions that are clinically and pathologically diverse yet are linked by a shared pathology of misfolded proteins. The accumulation of insoluble aggregates is accompanied by a progressive loss of vulnerable neurons. For some patients, the symptoms are motor focused (ataxias), while others experience cognitive and psychiatric symptoms (dementias). Among the shared symptoms of neurodegenerative diseases is a disruption of the sleep/wake cycle that occurs early in the trajectory of the disease and may be a risk factor for disease development. In many cases, the disruption in the timing of sleep and other rhythmic physiological markers immediately raises the possibility of neurodegeneration-driven disruption of the circadian timing system. The aim of this Review is to summarize the evidence supporting the hypothesis that circadian disruption is a core symptom within neurodegenerative diseases, including Alzheimer's disease, Huntingto
Circadian rhythm disorders are common characteristics of neurodegenerative diseases. The pathological aggregation of transactive response DNA-binding protein 43 (TDP-43) is associated with multiple neurodegenerative diseases, such as amyotrophic lateral sclerosis. However, the relationship between TDP-43 and circadian rhythm remains unknown. Here, we found that TDP-43 is rhythmically expressed both in vivo and in vitro. TDP-43 knockdown affected the expression of circadian genes, including BMAL1, CLOCK, CRY1, and PER2, and impaired autonomous circadian wheel behavior, cognitive functions, and balance abilities in mice. Furthermore, TDP-43 knockdown induced aberrant splicing of ubiquitin-specific peptidase 13 (USP13) and blocked USP13 rhythmic expression, enhancing the ubiquitination of BMAL1. Meanwhile, TDP-43 knockdown altered the rhythmic expression of phospho-AMPKα (Thr172) and platelet-type phosphofructokinase (PFKP), which may change cellular glucose uptake and ATP production. Our
Neurodegenerative diseases commonly involve the disruption of circadian rhythms. Studies indicate that mutant Huntingtin (mHtt), the cause of Huntington's disease (HD), disrupts circadian rhythms often before motor symptoms are evident. Yet little is known about the molecular mechanisms by which mHtt impairs circadian rhythmicity and whether circadian clocks can modulate HD pathogenesis. To address this question, we used a Drosophila HD model. We found that both environmental and genetic perturbations of the circadian clock alter mHtt-mediated neurodegeneration. To identify potential genetic pathways that mediate these effects, we applied a behavioral platform to screen for clock-regulated HD suppressors, identifying a role for Heat Shock Protein 70/90 Organizing Protein (Hop). Hop knockdown paradoxically reduces mHtt aggregation and toxicity. These studies demonstrate a role for the circadian clock in a neurodegenerative disease model and reveal a clock-regulated molecular and cellula
Alzheimer's disease (AD) is characterized by cognitive decline, circadian rhythm disruptions, and accumulation of Aβ plaques. Orexin-A, a neuropeptide involved in regulating sleep and circadian rhythms, has been implicated in these processes, although its specific role in modulating β-amyloid (Aβ) aggregation remains unclear. This study investigates how orexin-A influences Aβ aggregation and its impact on cognitive and circadian dysfunctions in AD mice subjected to acute sleep deprivation (ASD). Behavioural assessments showed significant cognitive deficits following ASD, including impaired recognition and spatial memory. Proteomic analysis revealed 1380 modulated proteins, including 105 associated with AD, 56 with cognitive functions, 11 with circadian rhythm, and six involved in Aβ clearance. Further analysis showed dysregulation of Clock and Bmal1 levels, along with reduced orexin-A expression after ASD. Since orexin-A regulates both sleep and circadian rhythm, investigating its role
Bipolar disorder (BD) is characterized by disrupted circadian rhythms and neuronal loss. Lithium amplifies circadian rhythms and is neuroprotective, indicating mechanistic overlap across cellular systems. We examined the role of neuroprotection in determining lithium response and how circadian clock genes regulate apoptosis. In stem-cell-derived neuronal progenitor cells (NPCs) from BD patients, and in immortalized mouse hippocampal neurons, lithium was neuroprotective against staurosporine (STS)-induced apoptosis. However, neuroprotection did not distinguish lithium-responders (Li-Rs) from nonresponders (Li-NRs). Disruption of selected clock genes-period circadian regulator 1 (PER1), basic helix-loop-helix ARNT like 1 (ARNTL, also known as BMAL1), and nuclear receptor subfamily 1 group D member 1 (NR1D1; also known as REV-ERBα)-with small interfering RNA (siRNA) had distinct effects on apoptosis in mouse neurons and human NPCs. In BD patient NPCs, reduced expression of PER1 and BMAL1
Bipolar disorder (BD) is characterized by mood episodes, disrupted circadian rhythms and gray matter reduction in the brain. Lithium is an effective pharmacotherapy for BD, but not all patients respond to treatment. Lithium has neuroprotective properties and beneficial effects on circadian rhythms that may distinguish lithium responders (Li-R) from non-responders (Li-NR). The circadian clock regulates molecular pathways involved in apoptosis and cell survival, but how this overlap impacts BD and/or lithium responsiveness is unknown. In primary fibroblasts from Li-R/Li-NR BD patients and controls, we found patterns of co-expression among circadian clock and cell survival genes that distinguished BD vs. control, and Li-R vs. Li-NR cells. In cellular models of apoptosis using staurosporine (STS), lithium preferentially protected fibroblasts against apoptosis in BD vs. control samples, regardless of Li-R/Li-NR status. When examining the effects of lithium treatment of cells in vitro, caspa
Bipolar disorder (BD) is characterized by disrupted circadian rhythms and neuronal loss. Lithium is neuroprotective and used to treat BD, but outcomes are variable. Past research identified that circadian rhythms in BD patient neurons are associated with lithium response (Li-R) or non-response (Li-NR). However, the underlying cellular mechanisms remain unknown. To study interactions among circadian clock genes and cell survival, and their role in BD and predicting lithium response, we tested selected genes (PER1, BMAL1 and REV-ERBα) and small molecule modulators of ROR/REV-ERB nuclear receptors in models of cell survival using mouse neurons and stem-cell derived neuronal progenitor cells (NPC) from BD patients and controls. In apoptosis assays using staurosporine (STS), lithium was neuroprotective. Knockdown of PER1, BMAL1 and REV-ERBα modified cell survival across models. In NPCs, reduced expression of PER1 and BMAL1 led to more extensive cell death in Li-NR vs. Li-R. Reduced REV-ERBα
Physiological activities of the body exhibit an obvious biological rhythm. At the core of the circadian rhythm, BMAL1 is the only clock gene whose deletion leads to abnormal physiological functions. However, whether intermittent heat stress influences cardiovascular function by altering the circadian rhythm of clock genes has not been reported. This study aimed to investigate whether intermittent heat stress induces autophagy and apoptosis, and the effects of BMAL1 on thoracic aortic autophagy and apoptosis. An intermittent heat stress model was established in vitro, and western blotting and immunofluorescence were used to detect the expression of autophagy, apoptosis, the AMPK/mTOR/ULK1 pathway, and BMAL1. After BMAL1 silencing, RT-qPCR was performed to detect the expression levels of autophagy and apoptosis-related genes. Our results suggest that heat stress induces autophagy and apoptosis in RTAECs. In addition, intermittent heat stress increased the phosphorylation of AMPK and ULK1
Aging, a state of progressive decline in physiological function, is an important risk factor for chronic diseases, ranging from cancer and musculoskeletal frailty to cardiovascular and neurodegenerative diseases. Understanding its cellular basis is critical for developing interventions to extend human health span. This review highlights the crucial role of in vitro models, discussing foundational discoveries like the Hayflick limit and the senescence-associated secretory phenotype (SASP), the utility of immortalized cell lines, and transformative human induced pluripotent stem cells (iPSCs) for aging and disease modeling and rejuvenation studies. We also examine methods to induce senescence and discuss the distinction between chronological time and biological clock, with examples of applying cells from progeroid syndromes and mitochondrial diseases to recapitulate some signaling mechanisms in aging. Although no in vitro model can perfectly recapitulate organismal aging, well-chosen mod
BACKGROUND: Genetic and epigenetic changes, oxidative stress and inflammation influence the rate of aging, which diseases, lifestyle and environmental factors can further accelerate. In accelerated aging (AA), the biological age exceeds the chronological age. OBJECTIVE: The objective of this study is to reappraise the AA concept critically, considering its weaknesses and limitations. METHODS: We reviewed more than 300 recent articles dealing with the physiology of brain aging and neurodegeneration pathophysiology. RESULTS: (1) Application of the AA concept to individual organs outside the brain is challenging as organs of different systems age at different rates. (2) There is a need to consider the deceleration of aging due to the potential use of the individual structure-functional reserves. The latter can be restored by pharmacological and/or cognitive therapy, environment, etc. (3) The AA concept lacks both standardised terminology and methodology. (4) Changes in specific molecular
Aging is a systemic process marked by progressive multi-organ dysfunction, metabolic dysregulation, and chronic low-grade inflammation ("inflammaging"), which collectively drive neurodegenerative diseases such as Alzheimer's Disease (AD) and Parkinson's Disease (PD). Emerging evidence underscores the brain-muscle-liver axis as a central hub for maintaining energy homeostasis and neuroimmune crosstalk during aging. Here, we elucidate how exercise orchestrates inter-organ communication to counteract age-related decline through metabolic reprogramming, immunomodulation, and neuroprotection. Mechanistically, exercise enhances mitochondrial biogenesis and oxidative capacity in skeletal muscle via AMPK/PGC-1α signaling, restoring fatty acid oxidation and glucose metabolism while producing myokines (e.g., BDNF and IL-6) that promote neuronal survival and synaptic plasticity. Concurrently, hepatic SIRT1 activation promotes lipid metabolism, mitigates insulin resistance, and reduces systemic in
Aging drives a progressive decline in vascular health, undermining endothelial function, neurovascular coupling (NVC), and blood-brain barrier (BBB) integrity, three processes essential for maintaining cerebral perfusion and cognitive resilience. Central to these age-related deficits is mitochondrial dysfunction, which disrupts redox balance, bioenergetics, and nutrient-sensing pathways within vascular cells, thereby promoting oxidative stress, impaired mitophagy, mitochondrial fragmentation, and endothelial senescence. These molecular derangements are especially consequential in the brain's microvasculature, where the exquisite metabolic demands of neural tissue depend on intact endothelial signaling. As a result, cerebrovascular aging becomes a major driver of cognitive decline and vascular contributions to dementia. This review synthesizes current mechanistic insights into mitochondrial and endothelial pathways that shape vascular aging, with particular focus on the neurovascular un
Disruption of circadian rhythms is a recognized hallmark of age-related neurodegenerative diseases such as Alzheimer's disease (AD), Parkinson's disease (PD), and Huntington's disease (HD). Emerging evidence suggests these disruptions are not merely symptoms but potential causal factors that, in some cases, manifest prior to clinical onset. This points to a bidirectional relationship in which neurodegenerative processes and circadian dysfunction mutually exacerbate each other. Core clock genes, including BMAL1, PER, and CRY, regulate critical processes such as redox balance, mitochondrial function, and neuroinflammation, which are commonly disrupted in neurodegenerative conditions. Although molecular pathways involving altered protein homeostasis, immune dysregulation, and inflammatory processes are proposed, the precise mechanisms linking circadian rhythm disruptions to neurodegeneration remain unclear. This review provides an integrated overview of shared circadian rhythm disruptions
Our previous studies have confirmed that fluoride combined with aluminum (FA) can induce hippocampal neuron damage in the second-generation offspring (F2) of rats; however, the underlying mechanisms remain unclear. In this study, we established an F2 rat model and an NG108-15 cell model to investigate the potential modes of action. The autophagy of F2 rat hippocampal neurons and NG108-15 cells was assessed using transmission electron microscopy and immunofluorescence/immunocytochemistry kit, respectively. Hippocampal morphology was evaluated via hematoxylin-eosin (HE) staining. We measured mRNA levels of AMPK, mTOR, ULK1, and LC3 using quantitative reverse transcription PCR, and protein expressions were analyzed by Western blotting. Following treatment with rapamycin (Rap) in FA-exposed F2 rats and NG108-15 cells, a small number of primary lysosomes and autophagosomes appeared within hippocampal cells, with HE staining indicating a near-normal restoration of pyramidal cell morphology.
Methamphetamine (METH) is an illicit dopaminergic neurotoxin and is an extremely addictive psychostimulant drug that influences monoamine neurotransmitter system of the brain and is responsible for enhancing energy and satisfaction and feelings of alertness. Long-lasting exposure to METH causes psychosis and increases the risk of Parkinson's disease. Studies have revealed that obestatin (OB) is a novel endogenous ligand, which may have neuroprotective effects. Hence, we hypothesized that OB might appropriately limit METH-induced neurotoxicity via the control of apoptotis and autophagy. In the current study, PC12 cells were exposed to both METH (0.5, 1, 2, 3, 4, and 6 mmol/L) and pretreatment OB (1, 10, 100, and 200 nmol/L) in vitro for 24 h to determine appropriate dose, and then downstream pathways were measured to investigate apoptosis and autophagy. The results have shown that OB reduced the apoptotic response post-METH exposure in PC12 cells by developing cell viability and diminis
Excessive exposure to manganese (Mn) increases the risk of chronic neurological diseases, including Parkinson's disease (PD) and other related Parkinsonisms. Aggregated α-synuclein (αSyn), a hallmark of PD, can spread to neighboring cells by exosomal release from neurons. We previously discovered that Mn enhances its spread, triggering neuroinflammatory and neurodegenerative processes. To better understand the Mn-induced release of exosomal αSyn, we examined the effect of Mn on endosomal trafficking and misfolded protein degradation. Exposing MN9D dopaminergic neuronal cells stably expressing human wild-type (WT) αSyn to 300 μM Mn for 24 h significantly suppressed protein and mRNA expression of Rab11a, thereby downregulating endosomal recycling, forcing late endosomes to mature into multivesicular bodies (MVBs). Ectopic expression of WT Rab11a significantly mitigated exosome release, whereas ectopic mutant Rab11a (S25N) increased it. Our in vitro and in vivo studies reveal that Mn expo
Description: Digital biomarkers revealing disrupted sleep-wake cycles and motor fluctuations indicate circadian dysregulation occurring years before clinical diagnosis. Precisely timed administration of autophagy enhancers and proteasome activators during optimal circadian windows could amplify endogenous protein clearance mechanisms. This approach leverages the natural circadian regulation of gly
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| 📄 | New Evidence | $0.542 | ▲ 0.8% | evidence_batch_update | 2026-04-13 02:18 |
| 📄 | New Evidence | $0.537 | ▼ 8.1% | evidence_batch_update | 2026-04-13 02:18 |
| ⚖ | Recalibrated | $0.584 | ▼ 0.5% | 2026-04-10 15:58 | |
| ⚖ | Recalibrated | $0.587 | ▲ 0.6% | 2026-04-10 15:53 | |
| ⚖ | Recalibrated | $0.584 | ▲ 4.3% | 2026-04-08 18:39 | |
| ⚖ | Recalibrated | $0.560 | ▲ 5.9% | 2026-04-06 04:04 | |
| ⚖ | Recalibrated | $0.529 | ▼ 0.9% | 2026-04-04 16:38 | |
| ⚖ | Recalibrated | $0.534 | ▲ 2.0% | 2026-04-04 16:02 | |
| ⚖ | Recalibrated | $0.523 | ▼ 0.6% | 2026-04-04 01:39 | |
| ⚖ | Recalibrated | $0.526 | ▼ 4.7% | 2026-04-03 23:46 | |
| ⚖ | Recalibrated | $0.552 | ▼ 6.5% | 2026-04-02 21:55 | |
| ⚖ | Recalibrated | $0.591 | ▲ 0.4% | market_recalibrate | 2026-04-02 19:14 |
| 💬 | Debate Round | $0.589 | ▲ 1.9% | debate_engine | 2026-04-02 17:18 |
| 📄 | New Evidence | $0.577 | ▼ 4.8% | market_dynamics | 2026-04-02 17:18 |
| 💬 | Debate Round | $0.607 | ▲ 3.6% | debate_engine | 2026-04-02 12:44 |
Molecular pathway showing key causal relationships underlying this hypothesis
graph TD
CLOCK_ULK1["CLOCK/ULK1"] -->|promoted: Circadia| neurodegeneration["neurodegeneration"]
CLOCK_ULK1_1["CLOCK/ULK1"] -->|associated with| neurodegeneration_2["neurodegeneration"]
CLOCK_ULK1_3["CLOCK/ULK1"] -->|co associated with| NR3C1_CRH_TNFA["NR3C1/CRH/TNFA"]
CLOCK_ULK1_4["CLOCK/ULK1"] -->|co associated with| PDGFRB_ANGPT1["PDGFRB/ANGPT1"]
CLOCK_ULK1_5["CLOCK/ULK1"] -->|co associated with| FOXP3_TGFB1["FOXP3/TGFB1"]
CLOCK_ULK1_6["CLOCK/ULK1"] -->|co associated with| PPARGC1A_PRKAA1["PPARGC1A/PRKAA1"]
CHR2_BDNF["CHR2/BDNF"] -->|co associated with| CLOCK_ULK1_7["CLOCK/ULK1"]
CLOCK_ULK1_8["CLOCK/ULK1"] -->|co associated with| DRD2_SNCA["DRD2/SNCA"]
style CLOCK_ULK1 fill:#ce93d8,stroke:#333,color:#000
style neurodegeneration fill:#ef5350,stroke:#333,color:#000
style CLOCK_ULK1_1 fill:#ce93d8,stroke:#333,color:#000
style neurodegeneration_2 fill:#ef5350,stroke:#333,color:#000
style CLOCK_ULK1_3 fill:#ce93d8,stroke:#333,color:#000
style NR3C1_CRH_TNFA fill:#ce93d8,stroke:#333,color:#000
style CLOCK_ULK1_4 fill:#ce93d8,stroke:#333,color:#000
style PDGFRB_ANGPT1 fill:#ce93d8,stroke:#333,color:#000
style CLOCK_ULK1_5 fill:#ce93d8,stroke:#333,color:#000
style FOXP3_TGFB1 fill:#ce93d8,stroke:#333,color:#000
style CLOCK_ULK1_6 fill:#ce93d8,stroke:#333,color:#000
style PPARGC1A_PRKAA1 fill:#ce93d8,stroke:#333,color:#000
style CHR2_BDNF fill:#ce93d8,stroke:#333,color:#000
style CLOCK_ULK1_7 fill:#ce93d8,stroke:#333,color:#000
style CLOCK_ULK1_8 fill:#ce93d8,stroke:#333,color:#000
style DRD2_SNCA fill:#ce93d8,stroke:#333,color:#000
neurodegeneration | 2026-04-01 | completed