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  • IOS Press  (34)
  • Unknown  (34)
  • 2020-2024  (34)
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  • IOS Press  (34)
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  • Unknown  (34)
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  • 2020-2024  (34)
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  • 1
    Online Resource
    Online Resource
    Olfactory Threshold Test as a Quick Screening Tool for Cognitive Impairment: Analysis of Two Independent Cohorts
    IOS Press ; 2023
    In:  Journal of Alzheimer's Disease Vol. 93, No. 1 ( 2023-05-02), p. 169-178
    Details
    In: Journal of Alzheimer's Disease, IOS Press, Vol. 93, No. 1 ( 2023-05-02), p. 169-178
    Abstract: Background: Olfactory dysfunction appears prior to cognitive decline, and thus it has been suggested to be an early predictor of Alzheimer’s disease. However, it is currently not known whether and how olfactory threshold test could serve as a quick screening tool for cognitive impairment. Objective: To define olfactory threshold test for screening cognitive impairment in two independent cohorts. Methods: The participants are comprised of two cohorts in China, 1,139 inpatients with type 2 diabetes mellitus (T2DM, Discovery cohort) and 1,236 community-dwelling elderly (Validation cohort). Olfactory and cognitive functions were evaluated by Connecticut Chemosensory Clinical Research Center test and Mini-Mental State Examination (MMSE), respectively. Regression analyses and receiver operating characteristic (ROC) analyses were carried out to determine the relation and discriminative performance of the olfactory threshold score (OTS) regarding identification of cognition impairment. Results: Regression analysis showed that olfactory deficit (reducing OTS) was correlated with cognitive impairment (reducing MMSE score) in two cohorts. ROC analysis revealed that the OTS could distinguish cognitive impairment from cognitively normal individuals, with mean area under the curve values of 0.71 (0.67, 0.74) and 0.63 (0.60, 0.66), respectively, but it failed to discriminate dementia from mild cognitive impairment. The cut-off point of 3 showed the highest validity for the screening, with the diagnostic accuracy of 73.3% and 69.5%. Conclusion: Reducing OTS is associated with cognitive impairment in T2DM patients and the community-dwelling elderly. Therefore, olfactory threshold test may be used as a readily accessible screening tool for cognitive impairment.
    Type of Medium: Online Resource
    ISSN: 1387-2877 , 1875-8908
    URL: Article
    DOI: 10.3233/JAD-230023
    Language: Unknown
    Publisher: IOS Press
    Publication Date: 2023
    detail.hit.zdb_id: 2070772-1
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  • 2
    Online Resource
    Online Resource
    Periodontal Status and Saliva Metabolic Signature in Patients with Alzheimer’s Disease
    IOS Press ; 2023
    In:  Journal of Alzheimer's Disease Vol. 95, No. 2 ( 2023-09-12), p. 603-613
    Details
    In: Journal of Alzheimer's Disease, IOS Press, Vol. 95, No. 2 ( 2023-09-12), p. 603-613
    Abstract: Background: Characterizing the periodontal status of patients with Alzheimer’s disease (AD), investigating differences in salivary metabolism between patients with and without AD under the same periodontal conditions, and understanding how it is related to oral flora are critical. Objective: We aimed to examine the periodontal condition of patients with AD and to screen salivary metabolic biomarkers from the saliva of individuals with and without AD with matched periodontal conditions. Furthermore, we aimed to explore the possible relationship between salivary metabolic changes and oral flora. Methods: In total, 79 individuals were recruited into the experiment for periodontal analysis. Especially, 30 saliva samples from the AD group and 30 from healthy controls (HCs) with matched periodontal conditions were selected for metabolomic analysis. The random-forest algorithm was used to detect candidate biomarkers. Among these, 19 AD saliva and 19 HC samples were selected to investigate the microbiological factors influencing the alterations in saliva metabolism in patients with AD. Results: The plaque index and bleeding on probing were considerably higher in the AD group. Further, Cis-3-(1-carboxy-ethyl)-3,5-cyclohexadiene-1,2-diol, dodecanoic acid, genipic acid, and N, N-dimethylthanolamine N-oxide were determined as candidate biomarkers, based on the area under the curve (AUC) value (AUC = 0.95). The results of oral-flora sequencing showed that dysbacteriosis may be a reason for the differences in AD saliva metabolism. Conclusion: Dysregulation of the proportion of specific bacterial flora in saliva plays a vital role in metabolic changes in AD. These results will contribute to further improving the AD saliva biomarker system.
    Type of Medium: Online Resource
    ISSN: 1387-2877 , 1875-8908
    URL: Article
    DOI: 10.3233/JAD-230291
    Language: Unknown
    Publisher: IOS Press
    Publication Date: 2023
    detail.hit.zdb_id: 2070772-1
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  • 3
    Online Resource
    Online Resource
    Ameliorating Ribosylation-Induced Amyloid-β Pathology by Berberine via Inhibiting mTOR/p70S6K Signaling
    IOS Press ; 2021
    In:  Journal of Alzheimer's Disease Vol. 79, No. 2 ( 2021-01-19), p. 833-844
    Details
    In: Journal of Alzheimer's Disease, IOS Press, Vol. 79, No. 2 ( 2021-01-19), p. 833-844
    Abstract: Background: Berberine (BBR) plays a neuroprotective role in the pathogenesis of Alzheimer’s disease (AD), inhibiting amyloid-β (Aβ) production and promoting Aβ clearance. Advanced glycation end products (AGEs) promote Aβ aggregation and tau hyperphosphorylation. The activation of mTOR signaling occurring at the early stage of AD has a prominent impact on the Aβ production. This work focused on whether BBR regulates the production and clearance of ribosylation-induced Aβ pathology via inhibiting mTOR signaling. Objective: To explore whether BBR ameliorates ribosylation-induced Aβ pathology in APP/PS1 mice. Methods: Western blot and immunofluorescence staining were used to detect the related proteins of the mammalian target of Rapamycin (mTOR) signaling pathway and autophagy, as well as the related kinases of Aβ generation and clearance. Tissue sections and Immunofluorescence staining were used to observe Aβ42 in APP/PS1 mice hippocampal. Morris water maze test was used to measure the spatial learning and memory of APP/PS1 mice. Results: BBR improves spatial learning and memory of APP/PS1 mice. BBR limits the activation of mTOR/p70S6K signaling pathway and enhances autophagy process. BBR reduces the activity of BACE1 and γ-secretase induced by D-ribose, and enhances Aβ-degrading enzymes and Neprilysin, and inhibits the expression of Aβ in APP/PS1 mice. Conclusion: BBR ameliorates ribosylation-induced Aβ pathology via inhibiting mTOR/p70S6K signaling and improves spatial learning and memory of the APP/PS1 mice.
    Type of Medium: Online Resource
    ISSN: 1387-2877 , 1875-8908
    URL: Article
    DOI: 10.3233/JAD-200995
    Language: Unknown
    Publisher: IOS Press
    Publication Date: 2021
    detail.hit.zdb_id: 2070772-1
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  • 4
    Online Resource
    Online Resource
    Investigating Causal Relations Between Circulating Metabolites and Alzheimer’s Disease: A Mendelian Randomization Study
    IOS Press ; 2022
    In:  Journal of Alzheimer's Disease Vol. 87, No. 1 ( 2022-05-03), p. 463-477
    Details
    In: Journal of Alzheimer's Disease, IOS Press, Vol. 87, No. 1 ( 2022-05-03), p. 463-477
    Abstract: Background: Metabolomics is a promising approach that can be used to understand pathophysiological pathways of Alzheimer’s disease (AD). However, the causal relationships between metabolism and AD are poorly understood. Objective: We aimed to investigate the causal association between circulating metabolites and risk of AD through two-sample Mendelian randomization (MR) approach. Methods: Genetic associations with 123 circulating metabolic traits were utilized as exposures. Summary statistics data from International Genomics of Alzheimer’s Project was used in primary analysis, including 21,982 AD cases and 41,944 controls. Validation was performed using family history of AD data from UK Biobank (27,696 cases of maternal AD, 14,338 cases of paternal AD, and 272,244 controls). We utilized inverse-variance weighted method as primary method. Results: We found significantly increased risks of developing AD per standard deviation increase in the levels of circulating ApoB (odd ratio[OR] = 3.18; 95% confidence interval[CI] : 1.52–6.66, p = 0.0022), glycoprotein acetyls (OR = 1.21; 95% CI: 1.05–1.39, p = 0.0093), total cholesterol (OR = 2.73; 95% CI: 1.41–5.30, p = 0.0030), and low-density lipoprotein (LDL) cholesterol (OR = 2.34; 95% CI: 1.53–3.57, p = 0.0001). Whereas glutamine (OR = 0.81; 95% CI: 0.71–0.92, p = 0.0011) were significantly associated with lower risk of AD. We also detected causal effects of several different composition of LDL fractions on increased AD risk, which has been verified in validation. However, we found no association between circulating high-density lipoprotein cholesterol and AD. Conclusion: Our findings suggest causal effects of circulating glycoprotein acetyls, ApoB, LDL cholesterol, and serum total cholesterol on higher risk of AD, whereas glutamine showed the protective effect.
    Type of Medium: Online Resource
    ISSN: 1387-2877 , 1875-8908
    URL: Article
    DOI: 10.3233/JAD-220050
    Language: Unknown
    Publisher: IOS Press
    Publication Date: 2022
    detail.hit.zdb_id: 2070772-1
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  • 5
    Online Resource
    Online Resource
    Combined use of strain elastography and superb microvascular imaging with grayscale ultrasound according to the BI-RADS classification for differentiating benign from malignant solid breast masses
    IOS Press ; 2020
    In:  Clinical Hemorheology and Microcirculation Vol. 74, No. 4 ( 2020-06-05), p. 391-403
    Details
    In: Clinical Hemorheology and Microcirculation, IOS Press, Vol. 74, No. 4 ( 2020-06-05), p. 391-403
    Type of Medium: Online Resource
    ISSN: 1386-0291 , 1875-8622
    URL: Article
    DOI: 10.3233/CH-190693
    Language: Unknown
    Publisher: IOS Press
    Publication Date: 2020
    detail.hit.zdb_id: 2026405-7
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  • 6
    Online Resource
    Online Resource
    Impact of Serum Calcium Levels on Alzheimer’s Disease: A Mendelian Randomization Study
    IOS Press ; 2020
    In:  Journal of Alzheimer's Disease Vol. 76, No. 2 ( 2020-07-21), p. 713-724
    Details
    In: Journal of Alzheimer's Disease, IOS Press, Vol. 76, No. 2 ( 2020-07-21), p. 713-724
    Type of Medium: Online Resource
    ISSN: 1387-2877 , 1875-8908
    URL: Article
    DOI: 10.3233/JAD-191249
    Language: Unknown
    Publisher: IOS Press
    Publication Date: 2020
    detail.hit.zdb_id: 2070772-1
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  • 7
    Online Resource
    Online Resource
    Excessive Sedentary Time Is Associated with Cognitive Decline in Older Patients with Minor Ischemic Stroke
    IOS Press ; 2023
    In:  Journal of Alzheimer's Disease ( 2023-09-19), p. 1-9
    Details
    In: Journal of Alzheimer's Disease, IOS Press, ( 2023-09-19), p. 1-9
    Abstract: Background: Cognitive impairment is commonly seen after acute ischemic stroke (AIS). Sedentary behaviors increase the risk of dementia among community dwelling population. Objective: This study aims to investigate the association of sedentary behaviors with poststroke cognitive impairment among older adults of minor AIS. Methods: This cohort study recruited 594 older subjects with minor AIS from three hospitals in China during February 1, 2016, and December 31, 2018. Participants were followed up for two years and the sedentary time per day was self-reported at the endpoint of follow-up. Cognitive functions were assessed by Mini-Mental State Examination (MMSE). Participants were categorized into the high and low sedentary time group according to the median sedentary time of the participants. Results: At two years of follow-up, the long sedentary time group had significantly lower MMSE scores than the short sedentary time group [median, (95% CI): 21 (18 to 25) versus 22 (18 to 25), p = 0.368]. The long sedentary time group had a higher speed of cognitive decline than the short sedentary time group. Excessive sedentary time was associated with a higher risk of longitudinal cognitive decline (OR: 2.267, 95% CI: 1.594 to 3.225), adjusting for age, sex, education, body mass index, APOE genotype, comorbidities, symptoms of depression, anxiety, and insomnia, baseline MMSE scores and National Institute of Health Stroke Scale scores, cognitive therapy, and TOAST ischemic stroke subtypes. Conclusions: This study identified a possible link between sedentary behaviors and longitudinal cognitive decline among older patients with minor AIS, suggesting that reducing sedentary time might be helpful for preventing poststroke dementia.
    Type of Medium: Online Resource
    ISSN: 1387-2877 , 1875-8908
    URL: Article
    DOI: 10.3233/JAD-230008
    Language: Unknown
    Publisher: IOS Press
    Publication Date: 2023
    detail.hit.zdb_id: 2070772-1
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  • 8
    Online Resource
    Online Resource
    The effect of dapagliflozin on anemia in elderly patients with heart failure by bioinformatics analysis
    IOS Press ; 2023
    In:  Technology and Health Care ( 2023-09-21), p. 1-11
    Details
    In: Technology and Health Care, IOS Press, ( 2023-09-21), p. 1-11
    Abstract: BACKGROUND: Anemia associated with heart failure is frequent and can exacerbate the symptoms of heart failure. Dapagliflozin is the first SGLT-2 inhibitor with significant cardiovascular protection. However, the effect of dapagliflozin on anemia in elderly patients with heart failure is unknown. OBJECTIVE: We aimed to study the effect of dapagliflozin on anemia in elderly patients with heart failure by bioinformatics analysis. METHODS: The target genes were determined, followed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. The protein-protein interaction (PPI) network and modules were constructed. The dapagliflozin-targets network in anemia and heart failure was constructed. Molecular docking experiments between dapagliflozin and its key target AKT1 were performed. RESULTS: We found 1 dapagliflozin related target gene and 2 disease related genes. Totally, 134 target genes of dapagliflozin on anemia in elderly patients with heart failure were determined. The pathways may involve lipid and atherosclerosis, AGE-RAGE signaling pathway in diabetic complications, hepatitis B, insulin signaling pathway, fluid shear stress and atherosclerosis, neurotrophin signaling pathway, insulin resistance, toxoplasmosis, colorectal cancer, and EGFR tyrosine kinase inhibitor resistance. The hub genes in network were AKT1, TP53, GAPDH, TNF, CASP3, EGFR, and MAPK3. The structure of dapagliflozin and AKT1 molecular docking was exhibited. CONCLUSIONS: The hub genes in network were AKT1, TP53, GAPDH, TNF, CASP3, EGFR, and MAPK3. The structure of dapagliflozin and AKT1 molecular docking was exhibited.
    Type of Medium: Online Resource
    ISSN: 0928-7329 , 1878-7401
    URL: Article
    DOI: 10.3233/THC-230563
    Language: Unknown
    Publisher: IOS Press
    Publication Date: 2023
    detail.hit.zdb_id: 2043772-9
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  • 9
    Online Resource
    Online Resource
    Combination of Two T1 Substaging Systems (T1a/b/c and T1m/e) Better Predicts Tumor Outcomes in Patients with T1 High Grade Bladder Cancer
    IOS Press ; 2022
    In:  Bladder Cancer Vol. 8, No. 4 ( 2022-12-14), p. 371-378
    Details
    In: Bladder Cancer, IOS Press, Vol. 8, No. 4 ( 2022-12-14), p. 371-378
    Abstract: BACKGROUND: T1 substaging is a predictive factor for non-muscle-invasive bladder cancer, and two types of T1 substaging systems (T1a/b/c and T1m/e) are currently in use. However, the predictive ability of both systems is poor, and there is debate over which system is better. OBJECTIVE: To confirm whether combination of two T1 substaging systems can improve the predictive ability of T1 substaging for tumor outcomes. METHODS: Patients with primary pT1 high-grade bladder cancer from three centers were included. All tumors were assessed with T1a/b/c and T1m/e substaging. A new variable named COMB was developed in which patients were stratified into T1a/b & T1m, T1a/b & T1e, T1c & T1m or T1c & T1e subgroups. A time-dependent receiver operating characteristic curve (ROC) analysis was used to test whether the accuracy of prediction could be improved with COMB. RESULTS: A total of 239 patients with primary pT1HG were analyzed. No tumor was T1c & T1m, and therefore, only three types of combinations were evaluated: T1a/b & T1m (62 patients), T1a/b & T1e (124 patients) and T1c & T1e (53 patients). Regardless of all patients or those treated with Re-TURBt and adequate BCG, patients with T1a/b & T1m have the best prognosis, and those with T1c & T1e have the poorest prognosis. The time-dependent ROC showed that, for both recurrence and progression, COMB had a higher AUC than T1a/b/c and T1m/e, regardless of population. CONCLUSIONS: Compared with either system alone, the combination of two T1 substaging systems improves the predictive ability of T1 substaging for tumor outcomes.
    Type of Medium: Online Resource
    ISSN: 2352-3727 , 2352-3735
    URL: Article
    DOI: 10.3233/BLC-220007
    Language: Unknown
    Publisher: IOS Press
    Publication Date: 2022
    detail.hit.zdb_id: 2827070-8
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  • 10
    Online Resource
    Online Resource
    A deep dynamic neural network model and its application for ECG classification
    IOS Press ; 2022
    In:  Journal of Intelligent & Fuzzy Systems Vol. 43, No. 2 ( 2022-06-09), p. 2147-2154
    Details
    In: Journal of Intelligent & Fuzzy Systems, IOS Press, Vol. 43, No. 2 ( 2022-06-09), p. 2147-2154
    Abstract: The electrocardiogram (ECG) signal is a kind of time-varying signal, which has the characteristics and difficulties of variability, instability, and noise. Aiming at that, this paper put forward a novel 13-layer deep dynamic neural network model (DDNN) for the ECG signal learning and classification. The proposed DDNN model is a dynamic hybrid deep learning model. It includes a wavelet block, a convolutional block, a recurrent block, and a classification block, which combines the learning property and classification mechanism of convolutional neural network for the large-scale data sets, the learning and memory ability of Long Short-Term Memory (LSTM) for time series, and the noise reduction and processing ability of wavelet basis for the signals to meet the requirement of the learning and classification of ECG signal characteristics. Sufficient experimental results show that the proposed model is feasible and effective in the electrocardiogram signal pattern classification.
    Type of Medium: Online Resource
    ISSN: 1064-1246 , 1875-8967
    URL: Article
    DOI: 10.3233/JIFS-219314
    Language: Unknown
    Publisher: IOS Press
    Publication Date: 2022
    detail.hit.zdb_id: 2070080-5
    SSG: 11
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