| Title: | A detection model for cognitive dysfunction based on volatile organic compounds from a large Chinese community cohort |
| Author(s): | Jiao B; Zhang S; Bei Y; Bu G; Yuan L; Zhu Y; Yang Q; Xu T; Zhou L; Liu Q; Ouyang Z; Yang X; Feng Y; Tang B; Chen H; Shen L; |
| Address: | "Department of Neurology, Xiangya Hospital, Central South University, Changsha, China. National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China. Engineering Research Center of Hunan Province in Cognitive Impairment Disorders, Central South University, Changsha, China. Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic Diseases, Changsha, China. Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, China. Department of Neurology, Liuyang Jili Hospital, Changsha, China. Breax Laboratory, PCAB Research Center of Breath and Metabolism, Beijing, China. Key Laboratory of Organ Injury, Aging and Regenerative Medicine of Hunan Province, Changsha, China" |
| ISSN/ISBN: | 1552-5279 (Electronic) 1552-5260 (Linking) |
| Abstract: | "INTRODUCTION: We explored whether volatile organic compound (VOC) detection can serve as a screening tool to distinguish cognitive dysfunction (CD) from cognitively normal (CN) individuals. METHODS: The cognitive function of 1467 participants was assessed and their VOCs were detected. Six machine learning algorithms were conducted and the performance was determined. The plasma neurofilament light chain (NfL) was measured. RESULTS: Distinguished VOC patterns existed between CD and CN groups. The CD detection model showed good accuracy with an area under the receiver-operating characteristic curve (AUC) of 0.876. In addition, we found that 10 VOC ions showed significant differences between CD and CN individuals (p < 0.05); three VOCs were significantly related to plasma NfL (p < 0.005). Moreover, a combination of VOCs with NfL showed the best discriminating power (AUC = 0.877). DISCUSSION: Detection of VOCs from exhaled breath samples has the potential to provide a novel solution for the dilemma of CD screening" |
| Keywords: | community screening dementia diagnostic study high-pressure photon ionization time-of-flight mass spectrometry mild cognitive impairment volatile organic compounds; |
| Notes: | "PublisherJiao, Bin Zhang, Sizhe Bei, Yuzhang Bu, Guiwen Yuan, Li Zhu, Yuan Yang, Qijie Xu, Tianyan Zhou, Lu Liu, Qianqian Ouyang, Ziyu Yang, Xuan Feng, Yong Tang, Beisha Chen, Haibin Shen, Lu eng 2020YFC2008500/National Key R&D Program of China/ 2021ZD0201803/STI2030-Major Projects/ 81971029/National Natural Science Foundation of China/ 82071216/National Natural Science Foundation of China/ 2021RC3028/Hu-Xiang Youth Project/ 2022LNJJ16/National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University/ 2019SK2335/Hunan Innovative Province Construction Project/ 2023/04/11 Alzheimers Dement. 2023 Apr 9. doi: 10.1002/alz.13053" |
