Multimorbidity, cognitive phenotypes, and Alzheimer's disease plasma biomarkers in older adults: A population‐based study

Ren, Yifei; Li, Yuanjing; Tian, Na; Liu, Rui; Dong, Yi; Hou, Tingting; Liu, Cuicui; Han, Xiaolei; Han, Xiaodong; Wang, Lidan; Vetrano, Davide Liborio; Ngandu, Tiia; Marengoni, Alessandra; Kivipelto, Miia; Wang, Yongxiang; Cong, Lin; Du, Yifeng; Qiu, Chengxuan

doi:10.1002/alz.13519

Cited by 3 publications

(2 citation statements)

References 56 publications

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“…Some studies have explored the relationship between early-onset obsessive–compulsive disorder and local gyrification index through uncorrected p -value [ 33 ]. There are also some studies without multiple comparison corrections [ 34 , 35 ], and some studies report both corrected and uncorrected results [ 36 – 38 ]. The larger the node degree, the larger the nodes in the graph, while the node ranges are marked with different colors.…”

Section: Resultsmentioning

confidence: 99%

Identifying ADHD-Related Abnormal Functional Connectivity with a Graph Convolutional Neural Network

Hu,

Ran,

Qiao

et al. 2024

Neural Plasticity

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Attention deficit hyperactivity disorder (ADHD) is a common neurodevelopmental disorder that is characterized by inattention, hyperactivity, and impulsivity. The neural mechanisms underlying ADHD remain inadequately understood, and current approaches do not well link neural networks and attention networks within brain networks. Our objective is to investigate the neural mechanisms related to attention and explore neuroimaging biological tags that can be generalized within the attention networks. In this paper, we utilized resting-state functional magnetic resonance imaging data to examine the differential functional connectivity network between ADHD and typically developing individuals. We employed a graph convolutional neural network model to identify individuals with ADHD. After classification, we visualized brain regions with significant contributions to the classification results. Our results suggest that the frontal, temporal, parietal, and cerebellar regions are likely the primary areas of dysfunction in individuals with ADHD. We also explored the relationship between regions of interest and attention networks, as well as the connection between crucial nodes and the distribution of positively and negatively correlated connections. This analysis allowed us to pinpoint the most discriminative brain regions, including the right orbitofrontal gyrus, the left rectus gyrus and bilateral insula, the right inferior temporal gyrus and bilateral transverse temporal gyrus in the temporal region, and the lingual gyrus of the occipital lobe, multiple regions of the basal ganglia and the upper cerebellum. These regions are primarily involved in the attention executive control network and the attention orientation network. Dysfunction in the functional connectivity of these regions may contribute to the underlying causes of ADHD.

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Section: Resultsmentioning

confidence: 99%

Identifying ADHD-Related Abnormal Functional Connectivity with a Graph Convolutional Neural Network

Hu,

Ran,

Qiao

et al. 2024

Neural Plasticity

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“…Extensive epidemiological data suggest a strong association between T2DM and an elevated incidence of AD, particularly in patients with multiple clinical comorbidities. Moreover, many similarities in the pathogenesis of T2DM and AD have been observed ( Stanciu et al, 2020 ; Ren et al, 2023 ). This paper systematically explores the common pathological mechanism of T2DM and AD, identifying ceramide as a central factor in the pathogenesis.…”

Section: Introductionmentioning

confidence: 99%

A review of the mechanisms of abnormal ceramide metabolism in type 2 diabetes mellitus, Alzheimer’s disease, and their co-morbidities

Pan,

Li,

Lin

et al. 2024

Front. Pharmacol.

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The global prevalence of type 2 diabetes mellitus (T2DM) and Alzheimer’s disease (AD) is rapidly increasing, revealing a strong association between these two diseases. Currently, there are no curative medication available for the comorbidity of T2DM and AD. Ceramides are structural components of cell membrane lipids and act as signal molecules regulating cell homeostasis. Their synthesis and degradation play crucial roles in maintaining metabolic balance in vivo, serving as important mediators in the development of neurodegenerative and metabolic disorders. Abnormal ceramide metabolism disrupts intracellular signaling, induces oxidative stress, activates inflammatory factors, and impacts glucose and lipid homeostasis in metabolism-related tissues like the liver, skeletal muscle, and adipose tissue, driving the occurrence and progression of T2DM. The connection between changes in ceramide levels in the brain, amyloid β accumulation, and tau hyper-phosphorylation is evident. Additionally, ceramide regulates cell survival and apoptosis through related signaling pathways, actively participating in the occurrence and progression of AD. Regulatory enzymes, their metabolites, and signaling pathways impact core pathological molecular mechanisms shared by T2DM and AD, such as insulin resistance and inflammatory response. Consequently, regulating ceramide metabolism may become a potential therapeutic target and intervention for the comorbidity of T2DM and AD. The paper comprehensively summarizes and discusses the role of ceramide and its metabolites in the pathogenesis of T2DM and AD, as well as the latest progress in the treatment of T2DM with AD.

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Cardiometabolic multimorbidity, peripheral biomarkers, and dementia in rural older adults: The MIND‐China study

Liu,

Tian

et al. 2024

Alzheimer's & Dementia

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INTRODUCTIONEvidence has emerged that cardiometabolic multimorbidity (CMM) is associated with dementia, but the underlying mechanisms are poorly understood.METHODSThis population‐based study included 5704 older adults. Of these, data were available in 1439 persons for plasma amyloid‐β (Aβ), total tau, and neurofilament light chain (NfL) and in 1809 persons for serum cytokines. We defined CMM following two common definitions used in previous studies. Data were analyzed using general linear, logistic, and mediation models.RESULTSThe presence of CMM was significantly associated with an increased likelihood of dementia, Alzheimer's disease (AD), and vascular dementia (VaD) (p < 0.05). CMM was significantly associated with increased plasma Aβ40, Aβ42, and NfL, whereas CMM that included visceral obesity was associated with increased serum cytokines. The mediation analysis suggested that plasma NfL significantly mediated the association of CMM with AD.DISCUSSIONCMM is associated with dementia, AD, and VaD in older adults. The neurodegenerative pathway is involved in the association of CMM with AD.Highlights The presence of CMM was associated with increased likelihoods of dementia, AD, and VaD in older adults. CMM was associated with increased AD‐related plasma biomarkers and serum inflammatory cytokines. Neurodegenerative pathway was partly involved in the association of CMM with AD.

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Multimorbidity, cognitive phenotypes, and Alzheimer's disease plasma biomarkers in older adults: A population‐based study

Cited by 3 publications

References 56 publications

Identifying ADHD-Related Abnormal Functional Connectivity with a Graph Convolutional Neural Network

Identifying ADHD-Related Abnormal Functional Connectivity with a Graph Convolutional Neural Network

A review of the mechanisms of abnormal ceramide metabolism in type 2 diabetes mellitus, Alzheimer’s disease, and their co-morbidities

Cardiometabolic multimorbidity, peripheral biomarkers, and dementia in rural older adults: The MIND‐China study

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