Multi-organ frailty is enhanced by periodontitis-induced inflammaging by Yoshitaka Kase, Satoru Morikawa, Yuji Okano, Tatsuya Hosoi, Takazumi Yasui, Yoko Taki-Miyashita, Mitsutaka Yakabe, Maraku Goto, Kazuyuki Ishihara, Sumito Ogawa, Taneaki Nakagawa, Hideyuki Okano

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Acute effects of physical exercise on cognitive function and neurotrophins in patients with type 1 diabetes: A systematic review by Emanuele Zanardo, Giulia Quinto, Francesca Battista, Federica Duregon, Marco Vecchiato, Chiara Bergia, Kirk Erickson, Andrea Ermolao, Daniel Neunhaeuserer

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Effect of Baicalein on Cognitive Impairment in Diabetes Mellitus with Cerebral Small Vessel Disease by Li ZHOU, Zhengqi LU, Xiaoming YE, Wanxin YANG, Zhisheng WEI, Yi KONG, Xuming HUANG

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Sex-specific associations between estimated glucose disposal rate and cognitive decline in middle-aged and older adults in China: a longitudinal cohort study by Chun Luo, Shuang Han, Xiaoying Shen, Hao Wu, Jianqing Zhou, Bingyang Liu

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An exploration of distinguishing subjective cognitive decline and mild cognitive impairment based on resting-state prefrontal functional connectivity assessed by functional near-infrared spectroscopy by Zhengping Pu, Zhengping Pu, Hongna Huang, Man Li, Hongyan Li, Xiaoyan Shen, Qingfeng Wu, Qin Ni, Yong Lin, Donghong Cui

Subjects: “…subjective cognitive decline…”
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Group and partnered dance for people living with dementia: an overview of intervention design and measurement considerations by Deborah A. Jehu, Judith Bek, Judith Bek, Crystal Bennett, Madeleine E. Hackney, Madeleine E. Hackney, Madeleine E. Hackney

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Association of hearing loss with cognitive function and mental health in Africa: A systematic review by Abdulazeez Ahmed, Fatimah Tsiga-Ahmed, Nafisatu Bello-Muhammad, Abdulrazaq Ajiya, Mustapha Gudaji, Denes Stefler

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Effects of physical multimorbidity on cognitive decline trajectories among adults aged 50 years and older with different wealth status: a 17-year population-based cohort study by Chen Chen, Shan Zhang, Ning Huang, Mingyu Zhang, JinXin Fu, Jing Guo

Subjects: “…cognitive decline…”
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Denture use and a slower rate of cognitive decline among older adults with partial tooth loss in China: A 10‐year prospective cohort study by Xiang Qi, Zheng Zhu, Yaolin Pei, Bei Wu

“…Despite evidence linking tooth loss and dementia, few studies have examined the association between denture use and cognitive decline. We investigated the relationship between denture use and cognitive decline among Chinese older adults with tooth loss. …”
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A Principal Component Analysis of Metabolome and Cognitive Decline Among Japanese Older Adults: Cross-sectional Analysis Using Tohoku Medical Megabank Cohort Study Data by Sakura Kiuchi, Kumi Nakaya, Upul Cooray, Kenji Takeuchi, Ikuko N. Motoike, Naoki Nakaya, Yasuyuki Taki, Seizo Koshiba, Shunji Mugikura, Ken Osaka, Atsushi Hozawa

“…PC3, which included amino acids, was associated with lower odds of cognitive decline (OR 0.81; 95% CI, 0.66–0.99). Conclusion: Amino acids are protectively associated with cognitive decline, whereas ketone metabolites are associated with higher odds of cognitive decline.…”
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Age-dependent phenotypes of cognitive impairment as sequelae of SARS-CoV-2 infection by Gabriela Gonzalez Aleman, George D. Vavougios, George D. Vavougios, Carmela Tartaglia, Carmela Tartaglia, Nalakath A. Uvais, Alla Guekht, Alla Guekht, Akram A. Hosseini, Akram A. Hosseini, Vincenzina Lo Re, Vincenzina Lo Re, Catterina Ferreccio, Catterina Ferreccio, Giovanni D'Avossa, Hernan P. Zamponi, Mariana Figueredo Aguiar, Agustin Yecora, Agustin Yecora, Mohammad Zia Ul Haq Katshu, Vasileios T. Stavrou, Vasileios T. Stavrou, Stylianos Boutlas, Konstantinos I. Gourgoulianis, Camila Botero, Francisco González Insúa, Santiago Perez-Lloret, Mikhail Zinchuk, Anna Gersamija, Sofya Popova, Yulia Bryzgalova, Ekaterina Sviatskaya, Giovanna Russelli, Giovanna Russelli, Federica Avorio, Federica Avorio, Sophia Wang, Sophia Wang, Paul Edison, Paul Edison, Yoshiki Niimi, Hamid R. Sohrabi, Elizabeta B. Mukaetova Ladinska, Elizabeta B. Mukaetova Ladinska, Daria Neidre, Gabriel A. de Erausquin, Gabriel A. de Erausquin, Gabriel A. de Erausquin

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Quantification and correlation of amyloid-β plaque load, glial activation, GABAergic interneuron numbers, and cognitive decline in the young TgF344-AD rat model of Alzheimer’s disease by Anett Futácsi, Anett Futácsi, Anett Futácsi, Kitti Rusznák, Kitti Rusznák, Gergely Szarka, Gergely Szarka, Gergely Szarka, Béla Völgyi, Béla Völgyi, Ove Wiborg, Boldizsár Czéh, Boldizsár Czéh, Boldizsár Czéh

“…In this study, we examined neuronal and glial alterations in the hippocampus and medial prefrontal cortex (mPFC) of young TgF344-AD rats and correlated these changes with cognitive decline and amyloid-β plaque load.MethodsWe compared TgF344-AD and non-transgenic littermate rats aged 7–8 months of age. …”
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Alpha-2-adrenergic receptor agonists for the prevention of delirium and cognitive decline after open heart surgery (ALPHA2PREVENT): protocol for a multicentre randomised controlled trial by Eva Skovlund, Rune Haaverstad, Henrik Zetterberg, Jorunn L Helbostad, Rolf Busund, Johan Raeder, Theis Tønnessen, Torgeir Bruun Wyller, Melanie R Simpson, Nils Kristian Skjærvold, Bjørn Erik Neerland, Svein Aslak Landsverk, Ieva Martinaityte, Hilde Margrethe Norum, Geir Selbaek, Elisabeth Skaar, Arjen JC Slooter, Øyvind Sverre Svendsen, Alexander Wahba

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MICRO RNA: A PROSPECTIVE DIAGNOSTICBIOMARKER IN ALZHEIMER’S DISEASE by Syeda Uroosa Hashmi, Ameer Haider Ali

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Smoke-free hospitality environments and cognitive health: A population-based study in the United States by Lucie Kalousová

Subjects: “…Self-rated cognitive decline…”
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Auditory steady state response can predict declining EF in healthy elderly individuals by Xiaopeng Mao, Xiaopeng Mao, Nelly Shenton, Sadasivan Puthusserypady, Martin Johannes Lauritzen, Krisztina Benedek

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Associations of high-sensitivity C-reactive protein with neuropsychological outcomes and cerebral white matter hyperintensities in older adults at risk of dementia by Rachael Yu, Shawn D. Kong, Catriona Ireland, Genevieve Z. Steiner-Lim, Kimberley Bassett, Hannes Almgren, Dongang Wang, Chenyu Wang, Johannes C. Michaelian, Sharon L. Naismith

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The trajectory of changes in cognitive frailty and factors influencing it in elderly patients with cerebral infarction by Shengnan Xu, Qin Liang, Li Zhang, Shihua Liu

“…[Objective] The trajectory of cognitive frailty in elderly patients with cerebral infarction was analyzed, and the influencing factors were discussed. [ Methods] A total of 100 elderly patients with cerebral infarction hospitalized in Suzhou Hospital of Anhui Medical University from January to September in 2023 were selected for the study.Clinical data were collected on the patients, and cognitive frailty was assessed using the Frailty Screening Scale and the Montreal Cognitive Assessment Questionnaire (MoCA) at the time of admission and 1, 3, 6 months after treatment.Failty score ≥3 scores and MoCA <26 scores were defined as cognitive fraily.Potential categories of cognitive frailty change trajectories were identified by latent category growth modeling, and multifactorial logistic regression analyzed the factors influencing patients' cognitive frailty change trajectories. [ Results] The trajectory of cognitive frailty change in elderly patients with cerebral infarction identified by model fitting can be categorized into a group with a persistently low level of frailty (30 cases), a group with a slow rise in frailty (52 cases), and a group with a persistently high level of frailty (18 cases).Multifactorial logistic regression analysis showed that older age, poor sleep quality, and the number of comorbid chronic diseases > 4 were all risk factors for the development of persistent low levels of cognitive frailty into a slow rise in cognitive decline in elderly patients with cerebral infarction (P<0.05), Higher body mass index and high self-care ability were both protective factors for the development of persistent low levels of cognitive decline into a slow rise in cognitive decline in elderly patients with cerebral infarction (P<0.05).Older age, poor sleep quality and the number of comorbid chronic diseases >4 were risk factors for the progression of persistent low levels of cognitive decline to persistent high levels of cognitive decline in elderly patients with cerebral infarction (P < 0.05), and higher self-care ability were protective factors for the progression of persistent low levels of cognitive decline to persistent high levels of cognitive decline in elderly patients with cerebral infarction (P < 0.05). …”
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Occurrence of severe cognitive impairment in elderly individuals with poor glycemic control Vs elderly individuals with good glycemic control or no DM: a case control study” by Basma Salman, Fatima Jehangir, Aroosa Jahan, Saira Aslam, Nadra Ansari

“… ABSTRACT: Background: There is substantiatial corroboration that diabetes (both T1DM and T2DM) plays an essential role in predisposition to cognitive decline thus leading to dementia in both human and animal studies. (1,2,3). …”
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Atrial fibrillation and cognitive impairment: mechanisms, influencing factors, and prospects by Li-Juan Huang, Jian-Shu Chen, Yu-Zhe Song, Peng Chang

“…IntroductionAtrial fibrillation (AF) is a prevalent cardiac arrhythmia and a significant contributor to cardioembolic stroke, a condition closely linked to cognitive decline. However, research reveals that AF itself is independently associated with an increased risk of cognitive impairment. …”
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