Article
Geriatrics & Gerontology
Sunee Bovonsunthonchai, Roongtiwa Vachalathiti, Vimonwan Hiengkaew, Mon S. Bryant, Jim Richards, Vorapun Senanarong
Summary: This study found that spatiotemporal gait variables can effectively differentiate between dementia and cognitively intact groups. This suggests that gait could potentially be used as a clinical marker for diagnosing cognitive problems.
Article
Neurosciences
Andre Janse, Ondine van de Rest, Lisette C. P. G. M. de Groot, Renger F. Witkamp
Summary: This study investigated the association between 25(OH)D levels and different types of dementia in a geriatric outpatient population in the Netherlands. The results showed that both AD and VaD patients had lower levels of 25(OH)D compared to individuals without dementia, while there were no significant differences in 25(OH)D levels between MCI and other types of dementia patients and individuals without dementia.
JOURNAL OF ALZHEIMERS DISEASE
(2023)
Review
Endocrinology & Metabolism
Yue You, Zhizhen Liu, Yannan Chen, Ying Xu, Jiawei Qin, Shuai Guo, Jia Huang, Jing Tao
Summary: This study estimated the prevalence of Mild Cognitive Impairment (MCI) in Type 2 Diabetes Mellitus (T2DM) patients through systematic review and meta-analysis. The results showed a high prevalence of MCI in T2DM patients worldwide, especially in China and Asia. Female patients had a higher prevalence of MCI compared to male patients, and older patients had a lower prevalence compared to younger patients.
ACTA DIABETOLOGICA
(2021)
Article
Geriatrics & Gerontology
Mohd Fairuz Ali, Nur Iman Suraiya Ja'afar, Thayaletchumy Gophala Krishnan, Mohamad Azizi Mohamad Zulkifle, Nur Khairunnisa Khaidzir, Teh Rohila Jamil, Zuraidah Che Man, Aznida Firzah Abdul Aziz
Summary: The number of people with dementia in Malaysia is expected to increase. The lack of public awareness and research hinders the provision of optimized healthcare services. This study aimed to assess the level of dementia awareness among elderly patients at risk of developing mild cognitive impairment and identify associated factors.
Article
Geriatrics & Gerontology
Jiahui Xu, Zhaoqing Sun, Rui Zhang, Ruixue Li, Zhecong Yu, Qianlong Zhang, Yanan Ma, Fuguo Xing, Liqiang Zheng
Summary: This study found a non-linear association between serum spermidine (SPD) levels and cognitive performance, suggesting that a high SPD concentration may indicate a lower risk of mild cognitive impairment (MCI). Monitoring SPD levels may help reduce the incidence of MCI and decrease the burden of MCI.
FRONTIERS IN AGING NEUROSCIENCE
(2022)
Article
Geriatrics & Gerontology
Pengfei Shao, Xin Li, Ruomeng Qin, Hengheng Xu, Xiaoning Sheng, Lili Huang, Junyi Ma, Yue Cheng, Haifeng Chen, Bing Zhang, Hui Zhao, Yun Xu
Summary: This study found significant alterations in the local gyrification index (GI) and resting-state functional connectivity (RSFC) in type 2 diabetes mellitus (T2DM) patients with mild cognitive impairment (MCI), suggesting GI may serve as a novel neuroimaging biomarker to predict T2DM-related MCI.
FRONTIERS IN AGING NEUROSCIENCE
(2022)
Article
Neurosciences
Fei Wang, Min Fei, Wen-Zheng Hu, Xiao-Dan Wang, Shuai Liu, Yan Zeng, Jin-Hong Zhang, Yang Lv, Jian-ping Niu, Xin-ling Meng, Pan Cai, Yang Li, Bao-zhi Gang, Yong You, Yan Lv, Yong Ji
Summary: Constipation is prevalent in elderly individuals in China, especially in patients with dementia and non-amnestic mild cognitive impairment (na-MCI), suggesting a potential association between constipation and cognitive decline.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Psychiatry
German Alberto Nolasco-Rosales, Guillermo Efren Villar-Juarez, Daniel Arturo Perez-Osorio, Juan Daniel Cruz-Castillo, Gabriel Molina-Guzman, Thelma Beatriz Gonzzalez-Castro, Carlos Alfonso Tovilla-Zarate, Ester Rodriguez-Sanchez, Alma Delia Genis-Mendoza, Filiberto Hernandez-Palacios, Isela Esther Juarez-Rojop
Summary: Multiple factors are associated with diabetes-related cognitive impairment and depression. Antidiabetic drugs, including metformin, have reported antidepressant and pro-cognitive effects, but the results are inconsistent. This cross-sectional study recruited 431 patients with type 2 diabetes, including 374 on metformin treatment and 57 without metformin. Cognitive impairment was assessed using the Mini-Mental State Examination (MMSE) and depressive signs were evaluated using the Hamilton Depression Rating Scale (HAM-D). Despite the potential influence of other factors such as age and glycemic control, no significant differences were found in cognitive impairment and depression grades between metformin users and non-users.
JOURNAL OF PSYCHIATRIC RESEARCH
(2023)
Article
Cell Biology
Haitao Yu, Yanchao Liu, Ting He, Yao Zhang, Jiahua He, Mengzhu Li, Bijun Jiang, Yang Gao, Chongyang Chen, Dan Ke, Jianjun Liu, Benrong He, Xifei Yang, Jian-Zhi Wang
Summary: The analysis of platelet proteomics in T2DM patients with MCI revealed that the increase of optineurin and rGSK-3 beta(T/S9) can efficiently discriminate MCI patients, showing promise for predicting cognitive decline in T2DM patients.
Article
Geriatrics & Gerontology
Andrea M. Weinstein, Swathi Gujral, Meryl A. Butters, Christopher R. Bowie, Corinne E. Fischer, Alastair J. Flint, Nathan Herrmann, James L. Kennedy, Linda Mah, Shima Ovaysikia, Bruce G. Pollock, Tarek K. Rajji, Benoit H. Mulsant
Summary: This study compared diagnostic rates and clinical predictors between NIA-AA criteria and DSM-5 criteria, finding that discrepancies were more likely in individuals with a history of MDD or carrying at least one ApoE4 allele. Detailed neuropsychological testing and NIA-AA criteria identified a greater prevalence of cognitive impairment compared to DSM-5 criteria and the Montreal Cognitive Assessment.
AMERICAN JOURNAL OF GERIATRIC PSYCHIATRY
(2022)
Article
Health Care Sciences & Services
Nabeel Kinattingal, Seema Mehdi, Krishna Undela, Shahid Ud Din Wani, Mansour Almuqbil, Sultan Alshehri, Faiyaz Shakeel, Mohammad T. Imam, Santhepete N. Manjula
Summary: The research aimed to study the prevalence of cognitive impairment in diabetes mellitus patients and emphasized the importance of early detection and treatment. The study examined diabetic and non-diabetic subjects using the Montreal Cognitive Assessment tool and found that diabetic patients had significantly lower cognitive scores. The study suggested a high prevalence of cognitive impairment in the local T2DM population in Mysuru, India, and recommended further research on cognitive function in diabetic patients across different regions and ethnic groups.
JOURNAL OF PERSONALIZED MEDICINE
(2023)
Article
Health Care Sciences & Services
Taylor Dunn, Susan E. Howlett, Sanja Stanojevic, Aaqib Shehzad, Justin Stanley, Kenneth Rockwood
Summary: The study highlights the importance of patient-centric MCI and dementia research and demonstrates the valuable real-world evidence that can be collected with digital tools.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2022)
Article
Geriatrics & Gerontology
Qiaoyang Zhang, Shan Huang, Yin Cao, Guanzhong Dong, Yun Chen, Xuanyan Zhu, Wenwei Yun, Min Zhang
Summary: This study found that plasma remnant cholesterol is associated with MCI and is correlated with impaired cognition in MCI patients. The study also showed a positive association between plasma remnant cholesterol level and MCI risk. However, further large longitudinal studies are needed to confirm the results and clarify the cause-and-effect relationship.
FRONTIERS IN AGING NEUROSCIENCE
(2023)
Article
Clinical Neurology
Salvatore Mazzeo, Assunta Ingannato, Giulia Giacomucci, Alberto Manganelli, Valentina Moschini, Juri Balestrini, Arianna Cavaliere, Carmen Morinelli, Giulia Galdo, Filippo Emiliani, Diletta Piazzesi, Chiara Crucitti, Daniele Frigerio, Cristina Polito, Valentina Berti, Silvia Bagnoli, Sonia Padiglioni, Sandro Sorbi, Benedetta Nacmias, Valentina Bessi
Summary: Plasma neurofilament light chain (NfL) can accurately predict Alzheimer's disease and the progression of cognitive decline, serving as an important non-invasive tool for early diagnosis.
EUROPEAN JOURNAL OF NEUROLOGY
(2023)
Article
Biotechnology & Applied Microbiology
Zhigao Xu, Lili Zhao, Lei Yin, Yan Liu, Ying Ren, Guoqiang Yang, Jinlong Wu, Feng Gu, Xuesong Sun, Hui Yang, Taisong Peng, Jinfeng Hu, Xiaogeng Wang, Minghao Pang, Qiong Dai, Guojiang Zhang
Summary: The study aimed to develop an MRI-based machine learning model and found that the LR algorithm performed the best in predicting cognitive dysfunction in patients with type 2 diabetes, showing potential for clinical application.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2022)