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Zhang Y, Li T, Miao J, Zhang Z, Yang M, Wang Z, Yang B, Zhang J, Li H, Su Q, Guo J. Gamma-glutamyl transferase 5 overexpression in cerebrovascular endothelial cells improves brain pathology, cognition, and behavior in APP/PS1 mice. Neural Regen Res 2025; 20:533-547. [PMID: 38819065 DOI: 10.4103/nrr.nrr-d-23-01525] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2023] [Accepted: 02/21/2024] [Indexed: 06/01/2024] Open
Abstract
JOURNAL/nrgr/04.03/01300535-202502000-00030/figure1/v/2024-05-28T214302Z/r/image-tiff In patients with Alzheimer's disease, gamma-glutamyl transferase 5 (GGT5) expression has been observed to be downregulated in cerebrovascular endothelial cells. However, the functional role of GGT5 in the development of Alzheimer's disease remains unclear. This study aimed to explore the effect of GGT5 on cognitive function and brain pathology in an APP/PS1 mouse model of Alzheimer's disease, as well as the underlying mechanism. We observed a significant reduction in GGT5 expression in two in vitro models of Alzheimer's disease (Aβ1-42-treated hCMEC/D3 and bEnd.3 cells), as well as in the APP/PS1 mouse model. Additionally, injection of APP/PS1 mice with an adeno-associated virus encoding GGT5 enhanced hippocampal synaptic plasticity and mitigated cognitive deficits. Interestingly, increasing GGT5 expression in cerebrovascular endothelial cells reduced levels of both soluble and insoluble amyloid-β in the brains of APP/PS1 mice. This effect may be attributable to inhibition of the expression of β-site APP cleaving enzyme 1, which is mediated by nuclear factor-kappa B. Our findings demonstrate that GGT5 expression in cerebrovascular endothelial cells is inversely associated with Alzheimer's disease pathogenesis, and that GGT5 upregulation mitigates cognitive deficits in APP/PS1 mice. These findings suggest that GGT5 expression in cerebrovascular endothelial cells is a potential therapeutic target and biomarker for Alzheimer's disease.
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Affiliation(s)
- Yanli Zhang
- Department of Neurology, First Hospital of Shanxi Medical University, Taiyuan, Shanxi Province, China
- Department of Neurology, Sixth Hospital of Shanxi Medical University (General Hospital of Tisco), Taiyuan, Shanxi Province, China
| | - Tian Li
- Department of Physiology, Key Laboratory of Cellular Physiology, Ministry of Education, Shanxi Medical University, Taiyuan, Shanxi Province, China
| | - Jie Miao
- Department of Neurology, First Hospital of Shanxi Medical University, Taiyuan, Shanxi Province, China
| | - Zhina Zhang
- Department of Neurology, First Hospital of Shanxi Medical University, Taiyuan, Shanxi Province, China
| | - Mingxuan Yang
- Department of Neurology, First Hospital of Shanxi Medical University, Taiyuan, Shanxi Province, China
| | - Zhuoran Wang
- Department of Neurology, First Hospital of Shanxi Medical University, Taiyuan, Shanxi Province, China
| | - Bo Yang
- Department of Hernia and Abdominal Wall Surgery, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, Shanxi Province, China
| | - Jiawei Zhang
- Department of Neurology, First Hospital of Shanxi Medical University, Taiyuan, Shanxi Province, China
| | - Haiting Li
- Department of Neurology, First Hospital of Shanxi Medical University, Taiyuan, Shanxi Province, China
| | - Qiang Su
- Department of Physiology, Key Laboratory of Cellular Physiology, Ministry of Education, Shanxi Medical University, Taiyuan, Shanxi Province, China
- Department of Laboratory Medicine of Fenyang College, Shanxi Medical University, Fenyang, Shanxi Province, China
| | - Junhong Guo
- Department of Neurology, First Hospital of Shanxi Medical University, Taiyuan, Shanxi Province, China
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Nilsson J, Pichet Binette A, Palmqvist S, Brum WS, Janelidze S, Ashton NJ, Spotorno N, Stomrud E, Gobom J, Zetterberg H, Brinkmalm A, Blennow K, Hansson O. Cerebrospinal fluid biomarker panel for synaptic dysfunction in a broad spectrum of neurodegenerative diseases. Brain 2024; 147:2414-2427. [PMID: 38325331 PMCID: PMC11224614 DOI: 10.1093/brain/awae032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Revised: 12/31/2023] [Accepted: 01/21/2024] [Indexed: 02/09/2024] Open
Abstract
Synaptic dysfunction and degeneration is likely the key pathophysiology for the progression of cognitive decline in various dementia disorders. Synaptic status can be monitored by measuring synaptic proteins in CSF. In this study, both known and new synaptic proteins were investigated and compared as potential biomarkers of synaptic dysfunction, particularly in the context of Alzheimer's disease (AD). Seventeen synaptic proteins were quantified in CSF using two different targeted mass spectrometry assays in the prospective Swedish BioFINDER-2 study. The study included 958 individuals, characterized as having mild cognitive impairment (MCI, n = 205), AD dementia (n = 149) and a spectrum of other neurodegenerative diseases (n = 171), in addition to cognitively unimpaired individuals (CU, n = 443). Synaptic protein levels were compared between diagnostic groups and their associations with cognitive decline and key neuroimaging measures (amyloid-β-PET, tau-PET and cortical thickness) were assessed. Among the 17 synaptic proteins examined, 14 were specifically elevated in the AD continuum. SNAP-25, 14-3-3 zeta/delta, β-synuclein, and neurogranin exhibited the highest discriminatory accuracy in differentiating AD dementia from controls (areas under the curve = 0.81-0.93). SNAP-25 and 14-3-3 zeta/delta also had the strongest associations with tau-PET, amyloid-β-PET and cortical thickness at baseline and were associated with longitudinal changes in these imaging biomarkers [β(standard error, SE) = -0.056(0.0006) to 0.058(0.005), P < 0.0001]. SNAP-25 was the strongest predictor of progression to AD dementia in non-demented individuals (hazard ratio = 2.11). In contrast, neuronal pentraxins were decreased in all neurodegenerative diseases (except for Parkinson's disease), and NPTX2 showed the strongest associations with subsequent cognitive decline [longitudinal Mini-Mental State Examination: β(SE) = 0.57(0.1), P ≤ 0.0001; and mPACC: β(SE) = 0.095(0.024), P ≤ 0.001] across the AD continuum. Interestingly, utilizing a ratio of the proteins that displayed higher levels in AD, such as SNAP-25 or 14-3-3 zeta/delta, over NPTX2 improved the biomarkers' associations with cognitive decline and brain atrophy. We found 14-3-3 zeta/delta and SNAP-25 to be especially promising as synaptic biomarkers of pathophysiological changes in AD. Neuronal pentraxins were identified as general indicators of neurodegeneration and associated with cognitive decline across various neurodegenerative dementias. Cognitive decline and brain atrophy were best predicted by ratios of SNAP-25/NPTX2 and 14-3-3 zeta/delta/NPTX2.
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Affiliation(s)
- Johanna Nilsson
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, S-431 80 Mölndal, Sweden
| | - Alexa Pichet Binette
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, 211 46 Malmö, Sweden
| | - Sebastian Palmqvist
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, 211 46 Malmö, Sweden
- Memory Clinic, Skåne University Hospital, 205 02 Malmö, Sweden
| | - Wagner S Brum
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, S-431 80 Mölndal, Sweden
- Graduate Program in Biological Sciences: Biochemistry, Department of Biochemistry, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre 90035-003, Brazil
| | - Shorena Janelidze
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, 211 46 Malmö, Sweden
| | - Nicholas J Ashton
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, S-431 80 Mölndal, Sweden
- Centre for Age-Related Medicine, Stavanger University Hospital, 4011 Stavanger, Norway
- Department of Old Age Psychiatry, Maurice Wohl Clinical Neuroscience Institute, King’s College London, London SE5 9RX, UK
- NIHR Maudsley Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, London SE5 8AF, UK
| | - Nicola Spotorno
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, 211 46 Malmö, Sweden
| | - Erik Stomrud
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, 211 46 Malmö, Sweden
- Memory Clinic, Skåne University Hospital, 205 02 Malmö, Sweden
| | - Johan Gobom
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, S-431 80 Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, 431 30 Mölndal, Sweden
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, S-431 80 Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, 431 30 Mölndal, Sweden
- Fluid Biomarker Laboratory, UK Dementia Research Institute at UCL, London WC1E 6BT, UK
- Department of Neurodegenerative Disease, UCL Institute of Neurology, London WC1N 3BG, UK
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53792, USA
| | - Ann Brinkmalm
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, S-431 80 Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, 431 30 Mölndal, Sweden
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, S-431 80 Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, 431 30 Mölndal, Sweden
- Paris Brain Institute, ICM, Pitié-Salpêtrière Hospital, Sorbonne University, 75646 Paris, France
- Neurodegenerative Disorder Research Center, Division of Life Sciences and Medicine, and Department of Neurology, Institute on Aging and Brain Disorders, University of Science and Technology of China and First Affiliated Hospital of USTC, Hefei 230036, P.R. China
| | - Oskar Hansson
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, 211 46 Malmö, Sweden
- Memory Clinic, Skåne University Hospital, 205 02 Malmö, Sweden
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Hadler MD, Alle H, Geiger JRP. Parvalbumin interneuron cell-to-network plasticity: mechanisms and therapeutic avenues. Trends Pharmacol Sci 2024; 45:586-601. [PMID: 38763836 DOI: 10.1016/j.tips.2024.04.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2024] [Revised: 04/16/2024] [Accepted: 04/16/2024] [Indexed: 05/21/2024]
Abstract
Alzheimer's disease (AD) and schizophrenia (SCZ) represent two major neuropathological conditions with a high disease burden. Despite their distinct etiologies, patients suffering from AD or SCZ share a common burden of disrupted memory functions unattended by current therapies. Recent preclinical analyses highlight cell-type-specific contributions of parvalbumin interneurons (PVIs), particularly the plasticity of their cellular excitability, towards intact neuronal network function (cell-to-network plasticity) and memory performance. Here we argue that deficits of PVI cell-to-network plasticity may underlie memory deficits in AD and SCZ, and we explore two therapeutic avenues: the targeting of PVI-specific neuromodulation, including by neuropeptides, and the recruitment of network synchrony in the gamma frequency range (40 Hz) by external stimulation. We finally propose that these approaches be merged under consideration of recent insights into human brain physiology.
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Affiliation(s)
- Michael D Hadler
- Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Charitéplatz 1, 10117 Berlin, Germany; Institute of Neurophysiology, Charité-Universitätsmedizin Berlin, Berlin, Germany.
| | - Henrik Alle
- Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Charitéplatz 1, 10117 Berlin, Germany; Institute of Neurophysiology, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Jörg R P Geiger
- Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Charitéplatz 1, 10117 Berlin, Germany; Institute of Neurophysiology, Charité-Universitätsmedizin Berlin, Berlin, Germany.
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Yamaguchi Y, Okamura K, Yamamuro K, Okumura K, Komori T, Toritsuka M, Takada R, Nishihata Y, Ikawa D, Yamauchi T, Makinodan M, Yoshino H, Saito Y, Matsuzaki H, Kishimoto T, Kimoto S. NARP-related alterations in the excitatory and inhibitory circuitry of socially isolated mice: developmental insights and implications for autism spectrum disorder. Front Psychiatry 2024; 15:1403476. [PMID: 38903649 PMCID: PMC11187327 DOI: 10.3389/fpsyt.2024.1403476] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/19/2024] [Accepted: 05/17/2024] [Indexed: 06/22/2024] Open
Abstract
Background Social isolation during critical periods of development is associated with alterations in behavior and neuronal circuitry. This study aimed to investigate the immediate and developmental effects of social isolation on firing properties, neuronal activity-regulated pentraxin (NARP) and parvalbumin (PV) expression in the prefrontal cortex (PFC), social behavior in juvenile socially isolated mice, and the biological relevance of NARP expression in autism spectrum disorder (ASD). Methods Mice were subjected to social isolation during postnatal days 21-35 (P21-P35) and were compared with group-housed control mice. Firing properties in the PFC pyramidal neurons were altered in P35 socially isolated mice, which might be associated with alterations in NARP and PV expression. Results In adulthood, mice that underwent juvenile social isolation exhibited difficulty distinguishing between novel and familiar mice during a social memory task, while maintaining similar levels of social interaction as the control mice. Furthermore, a marked decrease in NARP expression in lymphoblastoid cell lines derived from adolescent humans with ASD as compared to typically developing (TD) humans was found. Conclusion Our study highlights the role of electrophysiological properties, as well as NARP and PV expression in the PFC in mediating the developmental consequences of social isolation on behavior.
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Affiliation(s)
- Yasunari Yamaguchi
- Department of Psychiatry, Nara Medical University School of Medicine, Nara, Japan
- Department of Neuropsychiatry, Wakayama Medical University School of Medicine, Wakayama, Japan
| | - Kazuya Okamura
- Department of Psychiatry, Nara Medical University School of Medicine, Nara, Japan
- Department of Neuropsychiatry, Wakayama Medical University School of Medicine, Wakayama, Japan
| | - Kazuhiko Yamamuro
- Department of Psychiatry, Nara Medical University School of Medicine, Nara, Japan
| | - Kazuki Okumura
- Department of Psychiatry, Nara Medical University School of Medicine, Nara, Japan
| | - Takashi Komori
- Department of Psychiatry, Nara Medical University School of Medicine, Nara, Japan
| | - Michihiro Toritsuka
- Department of Psychiatry, Nara Medical University School of Medicine, Nara, Japan
| | - Ryohei Takada
- Department of Psychiatry, Nara Medical University School of Medicine, Nara, Japan
| | - Yosuke Nishihata
- Department of Psychiatry, Nara Medical University School of Medicine, Nara, Japan
| | - Daisuke Ikawa
- Department of Psychiatry, Nara Medical University School of Medicine, Nara, Japan
| | - Takahira Yamauchi
- Department of Psychiatry, Nara Medical University School of Medicine, Nara, Japan
| | - Manabu Makinodan
- Department of Psychiatry, Nara Medical University School of Medicine, Nara, Japan
| | - Hiroki Yoshino
- Department of Psychiatry, Nara Medical University School of Medicine, Nara, Japan
- Mie Prefectural Mental Medical Center, Mie, Japan
| | - Yasuhiko Saito
- Department of Neurophysiology, Nara Medical University School of Medicine, Nara, Japan
| | - Hideo Matsuzaki
- Research Center for Child Mental Development, University of Fukui, Fukui, Japan
| | - Toshifumi Kishimoto
- Department of Psychiatry, Nara Medical University School of Medicine, Nara, Japan
| | - Sohei Kimoto
- Department of Neuropsychiatry, Wakayama Medical University School of Medicine, Wakayama, Japan
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Xu B, Ling Y, Liu L, Liu Y, Lin Y, Lyu J, Zhang Y. Potential prognostic value of CSF-targeted proteomics across the Alzheimer's disease continuum. BMC Geriatr 2024; 24:501. [PMID: 38844858 PMCID: PMC11157758 DOI: 10.1186/s12877-024-05104-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2024] [Accepted: 05/23/2024] [Indexed: 06/09/2024] Open
Abstract
BACKGROUND Core biomarkers for Alzheimer's disease (AD), such as Aβ42 and tau, have demonstrated high prognostic accuracy but do not fully capture the complex pathophysiology of AD. In this study, our objective was to identify novel cerebrospinal fluid (CSF) biomarkers using proteomics across the entire AD continuum to predict conversion to AD and explore their involvement in AD pathogenesis. METHODS A cohort of 186 cognitively normal (CN), 127 subjective memory complaint (SMC), 79 early mild cognitive impairment (EMCI), 249 late MCI (LMCI), and 132 AD individuals was analyzed, with a follow-up period of over 3 years for non-AD participants. CSF 65 peptides, as well as hippocampal and entorhinal volumes were analyzed, and cognitive function was evaluated using the 13-item cognitive subscale of the Alzheimer's Disease Assessment Scale (ADAS-Cog 13). Cox proportional hazards models and mediation analysis were performed to investigate associations and causal relationships. RESULTS During the follow-up, approximately one-fourth (146/580) of the non-AD participants progressed to AD. After adjusting for baseline diagnosis (CN to LMCI) and other variables, multivariable Cox regression analysis identified three peptides (VAELEDEK, VSFELFADK, and VVSSIEQK) as significant predictors of conversion to AD. Incorporating these three peptides into the initial model significantly improved the C-statistic from 0.82 to 0.85 for predicting AD conversion, surpassing the predictive ability of Aβ42 and P-tau. Moreover, hippocampal and entorhinal volumes mediated 30.3-53.8% of the association between the three peptides and ADAS-Cog 13 scores. CONCLUSIONS These findings underscore the potential of these three peptides as robust prognostic biomarker candidates for AD conversion across the entire AD continuum, with a mechanism involving the mediation of hippocampal and entorhinal volumes.
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Affiliation(s)
- Bingdong Xu
- Department of Neurology, The First Affiliated Hospital of Jinan University, No. 613, Huangpu Avenue West, Guangzhou, Guangdong, 510632, P.R. China
| | - Yitong Ling
- Department of Neurology, The First Affiliated Hospital of Jinan University, No. 613, Huangpu Avenue West, Guangzhou, Guangdong, 510632, P.R. China
| | - Leiyuan Liu
- Department of Neurology, The First Affiliated Hospital of Jinan University, No. 613, Huangpu Avenue West, Guangzhou, Guangdong, 510632, P.R. China
| | - Yujun Liu
- Department of Neurology, The First Affiliated Hospital of Jinan University, No. 613, Huangpu Avenue West, Guangzhou, Guangdong, 510632, P.R. China
| | - Yingze Lin
- Department of Neurology, The First Affiliated Hospital of Jinan University, No. 613, Huangpu Avenue West, Guangzhou, Guangdong, 510632, P.R. China
| | - Jun Lyu
- Department of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Traditional Chinese Medicine Informatization, Guangzhou, China
| | - Yusheng Zhang
- Department of Neurology, The First Affiliated Hospital of Jinan University, No. 613, Huangpu Avenue West, Guangzhou, Guangdong, 510632, P.R. China.
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Craig MT, Bielska MH, Jeffery K. Mechanisms and implications of gamma oscillation plasticity. Trends Neurosci 2024; 47:398-399. [PMID: 38760193 DOI: 10.1016/j.tins.2024.05.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2024] [Accepted: 05/02/2024] [Indexed: 05/19/2024]
Abstract
A recent study by Hadler and colleagues uncovered a novel form of plasticity of gamma oscillations in an ex vivo hippocampal slice preparation which they term 'gamma potentiation'. We discuss the potential cellular mechanisms of this form of plasticity and its functional and translational implications.
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Affiliation(s)
- Michael T Craig
- School of Psychology and Neuroscience, College of Medical, Veterinary, and Life Sciences, University of Glasgow, Glasgow G12 8QQ, UK.
| | - Monika H Bielska
- School of Psychology and Neuroscience, College of Medical, Veterinary, and Life Sciences, University of Glasgow, Glasgow G12 8QQ, UK
| | - Kate Jeffery
- School of Psychology and Neuroscience, College of Medical, Veterinary, and Life Sciences, University of Glasgow, Glasgow G12 8QQ, UK
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Liu W, Wang Y, Jiang Y, Lu S, Zhu J, Tian Y, Pan J, Xu Z, Wang D. Serum NPTX2 as a Potential Predictive Biomarker for Postoperative Delirium in Patients with Acute Type A Aortic Dissection. Neuropsychiatr Dis Treat 2024; 20:979-987. [PMID: 38741580 PMCID: PMC11090118 DOI: 10.2147/ndt.s459892] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Accepted: 05/06/2024] [Indexed: 05/16/2024] Open
Abstract
Background Postoperative delirium (POD) significantly impacts patient outcomes after acute type A aortic dissection (ATAAD) surgeries. This study investigates the role of Neuronal Pentraxin 2 (NPTX2) as a potential biomarker for POD in ATAAD patients. Methods This secondary analysis involved ATAAD patients from a prospective observational study. Serum NPTX2 levels were measured preoperatively and immediately postoperatively using Enzyme-Linked Immunosorbent Assay (ELISA). Delirium was assessed using the Confusion Assessment Method (CAM) or CAM for the ICU (CAM-ICU). Statistical analyses included the Pearson Correlation Coefficient and multivariate logistic regression to evaluate the association between NPTX2 levels and POD. Results Among the 62 patients included, 46.77% developed POD. Patients with POD had significantly lower preoperative and postoperative serum NPTX2 levels. The Receiver Operating Characteristic (ROC) curve analysis showed that postoperative NPTX2 had a strong predictive capability for POD (AUC = 0.895). The optimal cutoff for postoperative NPTX2 in predicting POD was less than 421.4 pg/mL. Preoperative NPTX2 also demonstrated predictive value, albeit weaker (AUC = 0.683). Conclusion Serum NPTX2 levels, both preoperatively and postoperatively, are promising biomarkers for predicting POD in ATAAD patients. These findings suggest that NPTX2 could be instrumental in early POD detection and intervention strategies.
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Affiliation(s)
- Wenxue Liu
- Institute of Cardiothoracic Vascular Disease, Department of Cardio-Thoracic Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, People’s Republic of China
| | - Yapeng Wang
- Department of Cardio-Thoracic Surgery, Nanjing Drum Tower Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Nanjing, People’s Republic of China
| | - Yi Jiang
- Department of Cardio-Thoracic Surgery, Nanjing Drum Tower Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Nanjing, People’s Republic of China
| | - Shan Lu
- Institute of Cardiothoracic Vascular Disease, Department of Cardio-Thoracic Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, People’s Republic of China
| | - Jiawei Zhu
- Department of Cardio-Thoracic Surgery, Nanjing Drum Tower Hospital, Clinical College of Nanjing Medical University, Nanjing, People’s Republic of China
| | - Yuhuan Tian
- Department of Cardio-Thoracic Surgery, Nanjing Drum Tower Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Nanjing, People’s Republic of China
| | - Jun Pan
- Institute of Cardiothoracic Vascular Disease, Department of Cardio-Thoracic Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, People’s Republic of China
| | - Zhenjun Xu
- Institute of Cardiothoracic Vascular Disease, Department of Cardio-Thoracic Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, People’s Republic of China
| | - Dongjin Wang
- Institute of Cardiothoracic Vascular Disease, Department of Cardio-Thoracic Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, People’s Republic of China
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Wang S, Xie S, Zheng Q, Zhang Z, Wang T, Zhang G. Biofluid biomarkers for Alzheimer's disease. Front Aging Neurosci 2024; 16:1380237. [PMID: 38659704 PMCID: PMC11039951 DOI: 10.3389/fnagi.2024.1380237] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Accepted: 03/27/2024] [Indexed: 04/26/2024] Open
Abstract
Alzheimer's disease (AD) is a multifactorial neurodegenerative disease, with a complex pathogenesis and an irreversible course. Therefore, the early diagnosis of AD is particularly important for the intervention, prevention, and treatment of the disease. Based on the different pathophysiological mechanisms of AD, the research progress of biofluid biomarkers are classified and reviewed. In the end, the challenges and perspectives of future research are proposed.
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Affiliation(s)
- Sensen Wang
- Shandong Yinfeng Academy of Life Science, Jinan, Shandong, China
- School of Pharmacy, Key Laboratory of Molecular Pharmacology and Drug Evaluation, Ministry of Education, Collaborative Innovation Center of Advanced Drug Delivery System and Biotech Drugs in Universities of Shandong, Yantai University, Yantai, Shandong, China
| | - Sitan Xie
- Shandong Yinfeng Academy of Life Science, Jinan, Shandong, China
| | - Qinpin Zheng
- Shandong Yinfeng Academy of Life Science, Jinan, Shandong, China
- School of Pharmacy, Key Laboratory of Molecular Pharmacology and Drug Evaluation, Ministry of Education, Collaborative Innovation Center of Advanced Drug Delivery System and Biotech Drugs in Universities of Shandong, Yantai University, Yantai, Shandong, China
| | - Zhihui Zhang
- Shandong Yinfeng Academy of Life Science, Jinan, Shandong, China
| | - Tian Wang
- School of Pharmacy, Key Laboratory of Molecular Pharmacology and Drug Evaluation, Ministry of Education, Collaborative Innovation Center of Advanced Drug Delivery System and Biotech Drugs in Universities of Shandong, Yantai University, Yantai, Shandong, China
| | - Guirong Zhang
- Shandong Yinfeng Academy of Life Science, Jinan, Shandong, China
- School of Pharmacy, Key Laboratory of Molecular Pharmacology and Drug Evaluation, Ministry of Education, Collaborative Innovation Center of Advanced Drug Delivery System and Biotech Drugs in Universities of Shandong, Yantai University, Yantai, Shandong, China
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Buchman AS, Yu L, Klein HU, Zammit AR, Oveisgharan S, Nag S, Tickotsky N, Levy H, Seyfried N, Morgenstern D, Levin Y, Schnaider Beeri M, Bennett DA. Glycoproteome-Wide Discovery of Cortical Glycoproteins That May Provide Cognitive Resilience in Older Adults. Neurology 2024; 102:e209223. [PMID: 38502899 DOI: 10.1212/wnl.0000000000209223] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Accepted: 01/05/2024] [Indexed: 03/21/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Molecular omics studies have identified proteins related to cognitive resilience but unrelated to Alzheimer disease and Alzheimer disease-related dementia (AD/ADRD) pathologies. Posttranslational modifications of proteins with glycans can modify protein function. In this study, we identified glycopeptiforms associated with cognitive resilience. METHODS We studied brains from adults with annual cognitive testing with postmortem indices of 10 AD/ADRD pathologies and proteome-wide data from dorsal lateral prefrontal cortex (DLPFC). We quantified 11, 012 glycopeptiforms from DLPFC using liquid chromatography with tandem mass spectrometry. We used linear mixed-effects models to identify glycopeptiforms associated with cognitive decline correcting for multiple comparisons (p < 5 × 10-6). Then, we regressed out the effect of AD/ADRD pathologies to identify glycopeptiforms that may provide cognitive resilience. RESULTS We studied 366 brains, average age at death 89 years, and 70% female with no cognitive impairment = 152, mild cognitive impairment = 93, and AD = 121 cognitive status at death. In models adjusting for age, sex and education, 11 glycopeptiforms were associated with cognitive decline. In further modeling, 8 of these glycopeptiforms remained associated with cognitive decline after adjusting for AD/ADRD pathologies: NPTX2a (Est., 0.030, SE, 0.005, p = 1 × 10-4); NPTX2b (Est.,0.019, SE, 0.005, p = 2 × 10-4) NECTIN1(Est., 0.029, SE, 0.009, p = 9 × 10-4), NPTX2c (Est., 0.015, SE, 0.004, p = 9 × 10-4), HSPB1 (Est., -0.021, SE, 0.006, p = 2 × 10-4), PLTP (Est., -0.027, SE, 0.009, p = 4.2 × 10-3), NAGK (Est., -0.027, SE, 0.008, p = 1.4 × 10-3), and VAT1 (Est., -0.020, SE, 0.006, p = 1.1 × 10-3). Higher levels of 4 resilience glycopeptiforms derived through glycosylation were associated with slower decline and higher levels of 4 derived through glycation were related to faster decline. Together, these 8 glycopeptiforms accounted for an additional 6% of cognitive decline over the 33% accounted for the 10 brain pathologies and demographics. All 8 resilience glycopeptiforms remained associated with cognitive decline after adjustments for the expression level of their corresponding protein. Exploratory gene ontology suggested that molecular mechanisms of glycopeptiforms associated with cognitive decline may involve metabolic pathways including pyruvate and NADH pathways and highlighted the importance of molecular mechanisms involved in glucose metabolism. DISCUSSION Glycopeptiforms in aging brains may provide cognitive resilience. Targeting these glycopeptiforms may lead to therapies that maintain cognition through resilience.
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Affiliation(s)
- Aron S Buchman
- From the Rush Alzheimer's Disease Center (A.S.B., L.Y., A.R.Z., S.O., S.N., D.A.B.); Department of Neurological Sciences (A.S.B., L.Y., S.O., D.A.B.), Rush University Medical Center, Chicago, IL; Center for Translational and Computational Neuroimmunology (H.-U.K.), Department of Neurology, Columbia University Medical Center, New York; Department of Pathology (Neuropathology) (S.N.), Rush University Medical Center, Chicago, IL; Katz Institute for Nanoscale Science and Technology Ben Gurion University (N.T.), Beer Sheva; The de Botton Institute for Protein Profiling (H.L., D.M., Y.L.), Nancy and Stephen Grand Israel National Center for Personalized Medicine, Weizmann Institute of Science, Rehovot, Israel; Department of Neurology (N.S.), Emory University School of Medicine; Department of Biochemistry (N.S.), Emory University, Atlanta, GA; and Department of Neurology (M.S.B.), Rutgers Robert Wood Johnson Medical School and Rutgers Brain Health Institute, NJ
| | - Lei Yu
- From the Rush Alzheimer's Disease Center (A.S.B., L.Y., A.R.Z., S.O., S.N., D.A.B.); Department of Neurological Sciences (A.S.B., L.Y., S.O., D.A.B.), Rush University Medical Center, Chicago, IL; Center for Translational and Computational Neuroimmunology (H.-U.K.), Department of Neurology, Columbia University Medical Center, New York; Department of Pathology (Neuropathology) (S.N.), Rush University Medical Center, Chicago, IL; Katz Institute for Nanoscale Science and Technology Ben Gurion University (N.T.), Beer Sheva; The de Botton Institute for Protein Profiling (H.L., D.M., Y.L.), Nancy and Stephen Grand Israel National Center for Personalized Medicine, Weizmann Institute of Science, Rehovot, Israel; Department of Neurology (N.S.), Emory University School of Medicine; Department of Biochemistry (N.S.), Emory University, Atlanta, GA; and Department of Neurology (M.S.B.), Rutgers Robert Wood Johnson Medical School and Rutgers Brain Health Institute, NJ
| | - Hans-Ulrich Klein
- From the Rush Alzheimer's Disease Center (A.S.B., L.Y., A.R.Z., S.O., S.N., D.A.B.); Department of Neurological Sciences (A.S.B., L.Y., S.O., D.A.B.), Rush University Medical Center, Chicago, IL; Center for Translational and Computational Neuroimmunology (H.-U.K.), Department of Neurology, Columbia University Medical Center, New York; Department of Pathology (Neuropathology) (S.N.), Rush University Medical Center, Chicago, IL; Katz Institute for Nanoscale Science and Technology Ben Gurion University (N.T.), Beer Sheva; The de Botton Institute for Protein Profiling (H.L., D.M., Y.L.), Nancy and Stephen Grand Israel National Center for Personalized Medicine, Weizmann Institute of Science, Rehovot, Israel; Department of Neurology (N.S.), Emory University School of Medicine; Department of Biochemistry (N.S.), Emory University, Atlanta, GA; and Department of Neurology (M.S.B.), Rutgers Robert Wood Johnson Medical School and Rutgers Brain Health Institute, NJ
| | - Andrea R Zammit
- From the Rush Alzheimer's Disease Center (A.S.B., L.Y., A.R.Z., S.O., S.N., D.A.B.); Department of Neurological Sciences (A.S.B., L.Y., S.O., D.A.B.), Rush University Medical Center, Chicago, IL; Center for Translational and Computational Neuroimmunology (H.-U.K.), Department of Neurology, Columbia University Medical Center, New York; Department of Pathology (Neuropathology) (S.N.), Rush University Medical Center, Chicago, IL; Katz Institute for Nanoscale Science and Technology Ben Gurion University (N.T.), Beer Sheva; The de Botton Institute for Protein Profiling (H.L., D.M., Y.L.), Nancy and Stephen Grand Israel National Center for Personalized Medicine, Weizmann Institute of Science, Rehovot, Israel; Department of Neurology (N.S.), Emory University School of Medicine; Department of Biochemistry (N.S.), Emory University, Atlanta, GA; and Department of Neurology (M.S.B.), Rutgers Robert Wood Johnson Medical School and Rutgers Brain Health Institute, NJ
| | - Shahram Oveisgharan
- From the Rush Alzheimer's Disease Center (A.S.B., L.Y., A.R.Z., S.O., S.N., D.A.B.); Department of Neurological Sciences (A.S.B., L.Y., S.O., D.A.B.), Rush University Medical Center, Chicago, IL; Center for Translational and Computational Neuroimmunology (H.-U.K.), Department of Neurology, Columbia University Medical Center, New York; Department of Pathology (Neuropathology) (S.N.), Rush University Medical Center, Chicago, IL; Katz Institute for Nanoscale Science and Technology Ben Gurion University (N.T.), Beer Sheva; The de Botton Institute for Protein Profiling (H.L., D.M., Y.L.), Nancy and Stephen Grand Israel National Center for Personalized Medicine, Weizmann Institute of Science, Rehovot, Israel; Department of Neurology (N.S.), Emory University School of Medicine; Department of Biochemistry (N.S.), Emory University, Atlanta, GA; and Department of Neurology (M.S.B.), Rutgers Robert Wood Johnson Medical School and Rutgers Brain Health Institute, NJ
| | - Sukriti Nag
- From the Rush Alzheimer's Disease Center (A.S.B., L.Y., A.R.Z., S.O., S.N., D.A.B.); Department of Neurological Sciences (A.S.B., L.Y., S.O., D.A.B.), Rush University Medical Center, Chicago, IL; Center for Translational and Computational Neuroimmunology (H.-U.K.), Department of Neurology, Columbia University Medical Center, New York; Department of Pathology (Neuropathology) (S.N.), Rush University Medical Center, Chicago, IL; Katz Institute for Nanoscale Science and Technology Ben Gurion University (N.T.), Beer Sheva; The de Botton Institute for Protein Profiling (H.L., D.M., Y.L.), Nancy and Stephen Grand Israel National Center for Personalized Medicine, Weizmann Institute of Science, Rehovot, Israel; Department of Neurology (N.S.), Emory University School of Medicine; Department of Biochemistry (N.S.), Emory University, Atlanta, GA; and Department of Neurology (M.S.B.), Rutgers Robert Wood Johnson Medical School and Rutgers Brain Health Institute, NJ
| | - Nili Tickotsky
- From the Rush Alzheimer's Disease Center (A.S.B., L.Y., A.R.Z., S.O., S.N., D.A.B.); Department of Neurological Sciences (A.S.B., L.Y., S.O., D.A.B.), Rush University Medical Center, Chicago, IL; Center for Translational and Computational Neuroimmunology (H.-U.K.), Department of Neurology, Columbia University Medical Center, New York; Department of Pathology (Neuropathology) (S.N.), Rush University Medical Center, Chicago, IL; Katz Institute for Nanoscale Science and Technology Ben Gurion University (N.T.), Beer Sheva; The de Botton Institute for Protein Profiling (H.L., D.M., Y.L.), Nancy and Stephen Grand Israel National Center for Personalized Medicine, Weizmann Institute of Science, Rehovot, Israel; Department of Neurology (N.S.), Emory University School of Medicine; Department of Biochemistry (N.S.), Emory University, Atlanta, GA; and Department of Neurology (M.S.B.), Rutgers Robert Wood Johnson Medical School and Rutgers Brain Health Institute, NJ
| | - Hila Levy
- From the Rush Alzheimer's Disease Center (A.S.B., L.Y., A.R.Z., S.O., S.N., D.A.B.); Department of Neurological Sciences (A.S.B., L.Y., S.O., D.A.B.), Rush University Medical Center, Chicago, IL; Center for Translational and Computational Neuroimmunology (H.-U.K.), Department of Neurology, Columbia University Medical Center, New York; Department of Pathology (Neuropathology) (S.N.), Rush University Medical Center, Chicago, IL; Katz Institute for Nanoscale Science and Technology Ben Gurion University (N.T.), Beer Sheva; The de Botton Institute for Protein Profiling (H.L., D.M., Y.L.), Nancy and Stephen Grand Israel National Center for Personalized Medicine, Weizmann Institute of Science, Rehovot, Israel; Department of Neurology (N.S.), Emory University School of Medicine; Department of Biochemistry (N.S.), Emory University, Atlanta, GA; and Department of Neurology (M.S.B.), Rutgers Robert Wood Johnson Medical School and Rutgers Brain Health Institute, NJ
| | - Nicholas Seyfried
- From the Rush Alzheimer's Disease Center (A.S.B., L.Y., A.R.Z., S.O., S.N., D.A.B.); Department of Neurological Sciences (A.S.B., L.Y., S.O., D.A.B.), Rush University Medical Center, Chicago, IL; Center for Translational and Computational Neuroimmunology (H.-U.K.), Department of Neurology, Columbia University Medical Center, New York; Department of Pathology (Neuropathology) (S.N.), Rush University Medical Center, Chicago, IL; Katz Institute for Nanoscale Science and Technology Ben Gurion University (N.T.), Beer Sheva; The de Botton Institute for Protein Profiling (H.L., D.M., Y.L.), Nancy and Stephen Grand Israel National Center for Personalized Medicine, Weizmann Institute of Science, Rehovot, Israel; Department of Neurology (N.S.), Emory University School of Medicine; Department of Biochemistry (N.S.), Emory University, Atlanta, GA; and Department of Neurology (M.S.B.), Rutgers Robert Wood Johnson Medical School and Rutgers Brain Health Institute, NJ
| | - David Morgenstern
- From the Rush Alzheimer's Disease Center (A.S.B., L.Y., A.R.Z., S.O., S.N., D.A.B.); Department of Neurological Sciences (A.S.B., L.Y., S.O., D.A.B.), Rush University Medical Center, Chicago, IL; Center for Translational and Computational Neuroimmunology (H.-U.K.), Department of Neurology, Columbia University Medical Center, New York; Department of Pathology (Neuropathology) (S.N.), Rush University Medical Center, Chicago, IL; Katz Institute for Nanoscale Science and Technology Ben Gurion University (N.T.), Beer Sheva; The de Botton Institute for Protein Profiling (H.L., D.M., Y.L.), Nancy and Stephen Grand Israel National Center for Personalized Medicine, Weizmann Institute of Science, Rehovot, Israel; Department of Neurology (N.S.), Emory University School of Medicine; Department of Biochemistry (N.S.), Emory University, Atlanta, GA; and Department of Neurology (M.S.B.), Rutgers Robert Wood Johnson Medical School and Rutgers Brain Health Institute, NJ
| | - Yishai Levin
- From the Rush Alzheimer's Disease Center (A.S.B., L.Y., A.R.Z., S.O., S.N., D.A.B.); Department of Neurological Sciences (A.S.B., L.Y., S.O., D.A.B.), Rush University Medical Center, Chicago, IL; Center for Translational and Computational Neuroimmunology (H.-U.K.), Department of Neurology, Columbia University Medical Center, New York; Department of Pathology (Neuropathology) (S.N.), Rush University Medical Center, Chicago, IL; Katz Institute for Nanoscale Science and Technology Ben Gurion University (N.T.), Beer Sheva; The de Botton Institute for Protein Profiling (H.L., D.M., Y.L.), Nancy and Stephen Grand Israel National Center for Personalized Medicine, Weizmann Institute of Science, Rehovot, Israel; Department of Neurology (N.S.), Emory University School of Medicine; Department of Biochemistry (N.S.), Emory University, Atlanta, GA; and Department of Neurology (M.S.B.), Rutgers Robert Wood Johnson Medical School and Rutgers Brain Health Institute, NJ
| | - Michal Schnaider Beeri
- From the Rush Alzheimer's Disease Center (A.S.B., L.Y., A.R.Z., S.O., S.N., D.A.B.); Department of Neurological Sciences (A.S.B., L.Y., S.O., D.A.B.), Rush University Medical Center, Chicago, IL; Center for Translational and Computational Neuroimmunology (H.-U.K.), Department of Neurology, Columbia University Medical Center, New York; Department of Pathology (Neuropathology) (S.N.), Rush University Medical Center, Chicago, IL; Katz Institute for Nanoscale Science and Technology Ben Gurion University (N.T.), Beer Sheva; The de Botton Institute for Protein Profiling (H.L., D.M., Y.L.), Nancy and Stephen Grand Israel National Center for Personalized Medicine, Weizmann Institute of Science, Rehovot, Israel; Department of Neurology (N.S.), Emory University School of Medicine; Department of Biochemistry (N.S.), Emory University, Atlanta, GA; and Department of Neurology (M.S.B.), Rutgers Robert Wood Johnson Medical School and Rutgers Brain Health Institute, NJ
| | - David A Bennett
- From the Rush Alzheimer's Disease Center (A.S.B., L.Y., A.R.Z., S.O., S.N., D.A.B.); Department of Neurological Sciences (A.S.B., L.Y., S.O., D.A.B.), Rush University Medical Center, Chicago, IL; Center for Translational and Computational Neuroimmunology (H.-U.K.), Department of Neurology, Columbia University Medical Center, New York; Department of Pathology (Neuropathology) (S.N.), Rush University Medical Center, Chicago, IL; Katz Institute for Nanoscale Science and Technology Ben Gurion University (N.T.), Beer Sheva; The de Botton Institute for Protein Profiling (H.L., D.M., Y.L.), Nancy and Stephen Grand Israel National Center for Personalized Medicine, Weizmann Institute of Science, Rehovot, Israel; Department of Neurology (N.S.), Emory University School of Medicine; Department of Biochemistry (N.S.), Emory University, Atlanta, GA; and Department of Neurology (M.S.B.), Rutgers Robert Wood Johnson Medical School and Rutgers Brain Health Institute, NJ
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10
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Massa F, Martinuzzo C, Gómez de San José N, Pelagotti V, Kreshpa W, Abu-Rumeileh S, Barba L, Mattioli P, Orso B, Brugnolo A, Girtler N, Vigo T, Arnaldi D, Serrati C, Uccelli A, Morbelli S, Chincarini A, Otto M, Pardini M. Cerebrospinal fluid NPTX2 changes and relationship with regional brain metabolism metrics across mild cognitive impairment due to Alzheimer's disease. J Neurol 2024; 271:1999-2009. [PMID: 38157030 DOI: 10.1007/s00415-023-12154-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Revised: 12/08/2023] [Accepted: 12/09/2023] [Indexed: 01/03/2024]
Abstract
BACKGROUND Neuronal pentraxin-2 (NPTX2), crucial for synaptic functioning, declines in cerebrospinal fluid (CSF) as cognition deteriorates. The variations of CSF NPTX2 across mild cognitive impairment (MCI) due to Alzheimer's disease (AD) and its association with brain metabolism remain elusive, albeit relevant for patient stratification and pathophysiological insights. METHODS We retrospectively analyzed 49 MCI-AD patients grouped by time until dementia (EMCI, n = 34 progressing within 2 years; LMCI, n = 15 progressing later/stable at follow-up). We analyzed demographic variables, cognitive status (MMSE score), and CSF NPTX2 levels using a commercial ELISA assay in EMCI, LMCI, and a control group of age-/sex-matched individuals with other non-dementing disorders (OND). Using [18F]FDG PET scans for voxel-based analysis, we explored correlations between regional brain metabolism metrics and CSF NPTX2 levels in MCI-AD patients, accounting for age. RESULTS Baseline and follow-up MMSE scores were lower in LMCI than EMCI (p value = 0.006 and p < 0.001). EMCI exhibited significantly higher CSF NPTX2 values than both LMCI (p = 0.028) and OND (p = 0.006). We found a significant positive correlation between NPTX2 values and metabolism of bilateral precuneus in MCI-AD patients (p < 0.005 at voxel level, p < 0.05 with family-wise error correction at the cluster level). CONCLUSIONS Higher CSF NPTX2 in EMCI compared to controls and LMCI suggests compensatory synaptic responses to initial AD pathology. Disease progression sees these mechanisms overwhelmed, lowering CSF NPTX2 approaching dementia. Positive CSF NPTX2 correlation with precuneus glucose metabolism links to AD-related metabolic changes across MCI course. These findings posit CSF NPTX2 as a promising biomarker for both AD staging and progression risk stratification.
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Affiliation(s)
- Federico Massa
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy.
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
| | - Caterina Martinuzzo
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy
| | | | - Virginia Pelagotti
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy
| | - Wendy Kreshpa
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy
| | - Samir Abu-Rumeileh
- Department of Neurology, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
| | - Lorenzo Barba
- Department of Neurology, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
| | - Pietro Mattioli
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Beatrice Orso
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy
| | - Andrea Brugnolo
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Nicola Girtler
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Tiziana Vigo
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Dario Arnaldi
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | | | - Antonio Uccelli
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Silvia Morbelli
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy
- Department of Health Science (DISSAL), University of Genoa, Genoa, Italy
| | - Andrea Chincarini
- National Institute of Nuclear Physics (INFN), Genoa Section, Genoa, Italy
| | - Markus Otto
- Department of Neurology, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
| | - Matteo Pardini
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy
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11
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Zhou J, Li X, Wang X, Yang Y, Nai A, Shi H, Zhao J, Zhang J, Ding S, Han Y, Liu Q, Zhang L, Chen T, Liu B, Yue W, Lv L, Li W. Levels of neuronal pentraxin 2 in plasma is associated with cognitive function in patients with schizophrenia. Psychopharmacology (Berl) 2024; 241:865-874. [PMID: 38191677 DOI: 10.1007/s00213-023-06515-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 12/01/2023] [Indexed: 01/10/2024]
Abstract
RATIONALE The precise diagnosis and treatment of cognitive impairment remains a major challenge in the field of schizophrenia (SCZ) research. Synaptic dysfunction and loss are thought to be closely related to the occurrence and development of SCZ and may be involved in cognitive dysfunction. OBJECTIVES The purpose of this study was to investigate whether neuronal pentraxins (NPTXs) plays a role in the etiology of SCZ and provide evidence of its possible therapeutic value a new target for drug development. METHODS We recruited 275 participants, of whom 148 were SCZ from psychiatric hospital and 127 healthy control (HC) subjects from communities. Plasma concentrations of NPTXs were measured in HC and SCZ at baseline and after 8 weeks of antipsychotic treatment. The MATRICS Cognitive Consensus Battery was used to evaluate cognitive function. Furthermore, the brain is parcellated into 246 subregions using the Brainnetome atlas, and we extracted regional white matter volumes from magnetic resonance images of the SCZ groups. RESULTS Plasma NPTX2 levels were significantly lower in SCZ compared with HC subjects, but were significantly raised in SCZ after 8 weeks of antipsychotic treatment compared to baseline. In addition, baseline plasma NPTX2 levels were positively correlated with cognitive performance. CONCLUSIONS These findings indicate that NPTX2 may reveal novel aspects of disease etiology and act as a promising target for new drug development.
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Affiliation(s)
- Jiahui Zhou
- Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China
- Henan Key Lab of Biological Psychiatry, Xinxiang Medical University, Xinxiang, China
- International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang, China
| | - Xiaojing Li
- Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China
- Henan Key Lab of Biological Psychiatry, Xinxiang Medical University, Xinxiang, China
- International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang, China
| | - Xiujuan Wang
- Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China
| | - Yongfeng Yang
- Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China
- Henan Key Lab of Biological Psychiatry, Xinxiang Medical University, Xinxiang, China
- International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang, China
| | - Aoyang Nai
- Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China
| | - Han Shi
- Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China
| | - Jingyuan Zhao
- Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China
| | - Jianhong Zhang
- Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China
| | - Shuang Ding
- Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China
| | - Yong Han
- Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China
- Henan Key Lab of Biological Psychiatry, Xinxiang Medical University, Xinxiang, China
- International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang, China
| | - Qing Liu
- Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China
- Henan Key Lab of Biological Psychiatry, Xinxiang Medical University, Xinxiang, China
- International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang, China
| | - Luwen Zhang
- Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China
- Henan Key Lab of Biological Psychiatry, Xinxiang Medical University, Xinxiang, China
- International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang, China
| | - Tengfei Chen
- Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China
- Henan Key Lab of Biological Psychiatry, Xinxiang Medical University, Xinxiang, China
- International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang, China
| | - Bing Liu
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
- Chinese Institute for Brain Research, Beijing, China
| | - Weihua Yue
- Institute of Mental Health, Peking University, Beijing, China
- Key Laboratory for Mental Health, Ministry of Health, Beijing, China
| | - Luxian Lv
- Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China.
- Henan Key Lab of Biological Psychiatry, Xinxiang Medical University, Xinxiang, China.
- International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang, China.
| | - Wenqiang Li
- Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China.
- Henan Key Lab of Biological Psychiatry, Xinxiang Medical University, Xinxiang, China.
- International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang, China.
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12
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Piel JHA, Bargemann L, Leypoldt F, Wandinger KP, Dargvainiene J. Serum NFL and tau, but not serum UCHL-1 and GFAP or CSF SNAP-25, NPTX2, or sTREM2, correlate with delirium in a 3-year retrospective analysis. Front Neurol 2024; 15:1356575. [PMID: 38566855 PMCID: PMC10985356 DOI: 10.3389/fneur.2024.1356575] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Accepted: 02/26/2024] [Indexed: 04/04/2024] Open
Abstract
Delirium represents a common terminal pathway of heterogeneous neurological conditions characterized by disturbances in consciousness and attention. Contemporary theories highlight the acute impairment of synaptic function and network connectivity, driven by neuroinflammation, oxidative stress, and neurotransmitter imbalances. However, established biomarkers are still missing. Innovative diagnostic techniques, such as single-molecule array analysis, enable the detection of biomarkers in blood at picomolar concentrations. This approach paves the way for deeper insights into delirium and potentially therapeutic targets for tailored medical treatments. In a retrospective 3-year study, we investigated seven biomarkers indicative of neuroaxonal damage [neurofilament light chain (NFL), ubiquitin carboxyl-terminal hydrolase (UCHL-1), and tau protein], microglial activation [glial fibrillary acidic protein (GFAP) and soluble triggering receptor expressed on myeloid cells 2 (sTREM2)], and synaptic dysfunction [synaptosomal-associated protein 25 (SNAP-25) and neuronal pentraxin 2 (NPTX2)]. The analysis of 71 patients with delirium, Alzheimer's disease (AD), and non-AD controls revealed that serum NFL levels are higher in delirium cases compared to both AD and non-AD. This suggests that elevated NFL levels in delirium are not exclusively the result of dementia-related damage. Serum tau levels were also elevated in delirium cases compared to controls. Conversely, cerebrospinal fluid (CSF) SNAP-25 showed higher levels in AD patients compared to controls only. These findings add to the increasing body of evidence suggesting that serum NFL could be a valuable biomarker of neuroaxonal damage in delirium research. Although SNAP-25 and NPTX2 did not exhibit significant differences in delirium, the exploration of synaptic biomarkers remains promising for enhancing our understanding of this condition.
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Affiliation(s)
| | - Leon Bargemann
- Department of Neurology, University Hospital Schleswig-Holstein, Kiel, Germany
| | - Frank Leypoldt
- Department of Neurology, University Hospital Schleswig-Holstein, Kiel, Germany
- Institute of Clinical Chemistry, University Medical Center Schleswig-Holstein, Kiel, Germany
| | - Klaus-Peter Wandinger
- Institute of Clinical Chemistry, University Medical Center Schleswig-Holstein, Kiel, Germany
| | - Justina Dargvainiene
- Institute of Clinical Chemistry, University Medical Center Schleswig-Holstein, Kiel, Germany
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13
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Lista S, Santos-Lozano A, Emanuele E, Mercuri NB, Gabelle A, López-Ortiz S, Martín-Hernández J, Maisto N, Imbimbo C, Caraci F, Imbimbo BP, Zetterberg H, Nisticò R. Monitoring synaptic pathology in Alzheimer's disease through fluid and PET imaging biomarkers: a comprehensive review and future perspectives. Mol Psychiatry 2024; 29:847-857. [PMID: 38228892 DOI: 10.1038/s41380-023-02376-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 12/04/2023] [Accepted: 12/12/2023] [Indexed: 01/18/2024]
Abstract
Alzheimer's disease (AD) is currently constrained by limited clinical treatment options. The initial pathophysiological event, which can be traced back to decades before the clinical symptoms become apparent, involves the excessive accumulation of amyloid-beta (Aβ), a peptide comprised of 40-42 amino acids, in extraneuronal plaques within the brain. Biochemical and histological studies have shown that overaccumulation of Aβ instigates an aberrant escalation in the phosphorylation and secretion of tau, a microtubule-binding axonal protein. The accumulation of hyperphosphorylated tau into intraneuronal neurofibrillary tangles is in turn correlated with microglial dysfunction and reactive astrocytosis, culminating in synaptic dysfunction and neurodegeneration. As neurodegeneration progresses, it gives rise to mild clinical symptoms of AD, which may eventually evolve into overt dementia. Synaptic loss in AD may develop even before tau alteration and in response to possible elevations in soluble oligomeric forms of Aβ associated with early AD. These findings largely rely on post-mortem autopsy examinations, which typically involve a limited number of patients. Over the past decade, a range of fluid biomarkers such as neurogranin, α-synuclein, visinin-like protein 1 (VILIP-1), neuronal pentraxin 2, and β-synuclein, along with positron emission tomography (PET) markers like synaptic vesicle glycoprotein 2A, have been developed. These advancements have facilitated the exploration of how synaptic markers in AD patients correlate with cognitive impairment. However, fluid biomarkers indicating synaptic loss have only been validated in cerebrospinal fluid (CSF), not in plasma, with the exception of VILIP-1. The most promising PET radiotracer, [11C]UCB-J, currently faces significant challenges hindering its widespread clinical use, primarily due to the necessity of a cyclotron. As such, additional research geared toward the exploration of synaptic pathology biomarkers is crucial. This will not only enable their extensive clinical application, but also refine the optimization process of AD pharmacological trials.
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Affiliation(s)
- Simone Lista
- i+HeALTH Strategic Research Group, Department of Health Sciences, Miguel de Cervantes European University (UEMC), 47012, Valladolid, Spain.
| | - Alejandro Santos-Lozano
- i+HeALTH Strategic Research Group, Department of Health Sciences, Miguel de Cervantes European University (UEMC), 47012, Valladolid, Spain
- Physical Activity and Health Research Group (PaHerg), Research Institute of the Hospital 12 de Octubre ('imas12'), 28041, Madrid, Spain
| | | | - Nicola B Mercuri
- Experimental Neurology Laboratory, IRCCS Santa Lucia Foundation, 00143, Rome, Italy
- Department of Systems Medicine, University of Rome Tor Vergata, 00133, Rome, Italy
| | - Audrey Gabelle
- CMRR, Memory Resources and Research Center, Montpellier University of Excellence i-site, 34295, Montpellier, France
| | - Susana López-Ortiz
- i+HeALTH Strategic Research Group, Department of Health Sciences, Miguel de Cervantes European University (UEMC), 47012, Valladolid, Spain
| | - Juan Martín-Hernández
- i+HeALTH Strategic Research Group, Department of Health Sciences, Miguel de Cervantes European University (UEMC), 47012, Valladolid, Spain
| | - Nunzia Maisto
- Laboratory of Pharmacology of Synaptic Plasticity, EBRI Rita Levi-Montalcini Foundation, 00143, Rome, Italy
- Department of Physiology and Pharmacology "V. Erspamer", Sapienza University of Rome, 00185, Rome, Italy
| | - Camillo Imbimbo
- Department of Brain and Behavioral Sciences, University of Pavia, 27100, Pavia, Italy
| | - Filippo Caraci
- Department of Drug and Health Sciences, University of Catania, 95125, Catania, Italy
- Neuropharmacology and Translational Neurosciences Research Unit, Oasi Research Institute-IRCCS, 94018, Troina, Italy
| | - Bruno P Imbimbo
- Department of Research and Development, Chiesi Farmaceutici, 43122, Parma, Italy
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, 431 80, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, 431 80, Mölndal, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, WC1N, London, UK
- UK Dementia Research Institute at UCL, WC1E 6BT, London, UK
- Hong Kong Center for Neurodegenerative Diseases, Clear Water Bay, Hong Kong, China
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, 53726, WI, USA
| | - Robert Nisticò
- Laboratory of Pharmacology of Synaptic Plasticity, EBRI Rita Levi-Montalcini Foundation, 00143, Rome, Italy.
- School of Pharmacy, University of Rome "Tor Vergata", 00133, Rome, Italy.
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14
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Moodie JE, Harris SE, Harris MA, Buchanan CR, Davies G, Taylor A, Redmond P, Liewald DCM, Valdés Hernández MDC, Shenkin S, Russ TC, Muñoz Maniega S, Luciano M, Corley J, Stolicyn A, Shen X, Steele D, Waiter G, Sandu A, Bastin ME, Wardlaw JM, McIntosh A, Whalley H, Tucker‐Drob EM, Deary IJ, Cox SR. General and specific patterns of cortical gene expression as spatial correlates of complex cognitive functioning. Hum Brain Mapp 2024; 45:e26641. [PMID: 38488470 PMCID: PMC10941541 DOI: 10.1002/hbm.26641] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Revised: 01/29/2024] [Accepted: 02/18/2024] [Indexed: 03/18/2024] Open
Abstract
Gene expression varies across the brain. This spatial patterning denotes specialised support for particular brain functions. However, the way that a given gene's expression fluctuates across the brain may be governed by general rules. Quantifying patterns of spatial covariation across genes would offer insights into the molecular characteristics of brain areas supporting, for example, complex cognitive functions. Here, we use principal component analysis to separate general and unique gene regulatory associations with cortical substrates of cognition. We find that the region-to-region variation in cortical expression profiles of 8235 genes covaries across two major principal components: gene ontology analysis suggests these dimensions are characterised by downregulation and upregulation of cell-signalling/modification and transcription factors. We validate these patterns out-of-sample and across different data processing choices. Brain regions more strongly implicated in general cognitive functioning (g; 3 cohorts, total meta-analytic N = 39,519) tend to be more balanced between downregulation and upregulation of both major components (indicated by regional component scores). We then identify a further 29 genes as candidate cortical spatial correlates of g, beyond the patterning of the two major components (|β| range = 0.18 to 0.53). Many of these genes have been previously associated with clinical neurodegenerative and psychiatric disorders, or with other health-related phenotypes. The results provide insights into the cortical organisation of gene expression and its association with individual differences in cognitive functioning.
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Affiliation(s)
- Joanna E. Moodie
- Lothian Birth Cohorts, Department of PsychologyThe University of EdinburghEdinburghUK
- Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) CollaborationEdinburghUK
| | - Sarah E. Harris
- Lothian Birth Cohorts, Department of PsychologyThe University of EdinburghEdinburghUK
| | - Mathew A. Harris
- Lothian Birth Cohorts, Department of PsychologyThe University of EdinburghEdinburghUK
| | - Colin R. Buchanan
- Lothian Birth Cohorts, Department of PsychologyThe University of EdinburghEdinburghUK
- Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) CollaborationEdinburghUK
| | - Gail Davies
- Lothian Birth Cohorts, Department of PsychologyThe University of EdinburghEdinburghUK
| | - Adele Taylor
- Lothian Birth Cohorts, Department of PsychologyThe University of EdinburghEdinburghUK
| | - Paul Redmond
- Lothian Birth Cohorts, Department of PsychologyThe University of EdinburghEdinburghUK
| | - David C. M. Liewald
- Lothian Birth Cohorts, Department of PsychologyThe University of EdinburghEdinburghUK
| | - Maria del C. Valdés Hernández
- Lothian Birth Cohorts, Department of PsychologyThe University of EdinburghEdinburghUK
- Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) CollaborationEdinburghUK
- Centre for Clinical Brain SciencesUniversity of EdinburghUK
| | - Susan Shenkin
- Lothian Birth Cohorts, Department of PsychologyThe University of EdinburghEdinburghUK
- Centre for Clinical Brain SciencesUniversity of EdinburghUK
- Ageing and Health Research Group, Usher InstituteUniversity of EdinburghUK
| | - Tom C. Russ
- Lothian Birth Cohorts, Department of PsychologyThe University of EdinburghEdinburghUK
- Centre for Clinical Brain SciencesUniversity of EdinburghUK
- Alzheimer Scotland Dementia Research CentreUniversity of EdinburghUK
| | - Susana Muñoz Maniega
- Lothian Birth Cohorts, Department of PsychologyThe University of EdinburghEdinburghUK
- Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) CollaborationEdinburghUK
- Centre for Clinical Brain SciencesUniversity of EdinburghUK
| | - Michelle Luciano
- Lothian Birth Cohorts, Department of PsychologyThe University of EdinburghEdinburghUK
| | - Janie Corley
- Lothian Birth Cohorts, Department of PsychologyThe University of EdinburghEdinburghUK
| | - Aleks Stolicyn
- Centre for Clinical Brain SciencesUniversity of EdinburghUK
| | - Xueyi Shen
- Centre for Clinical Brain SciencesUniversity of EdinburghUK
| | - Douglas Steele
- Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) CollaborationEdinburghUK
| | - Gordon Waiter
- Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) CollaborationEdinburghUK
| | - Anca‐Larisa Sandu
- Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) CollaborationEdinburghUK
| | - Mark E. Bastin
- Lothian Birth Cohorts, Department of PsychologyThe University of EdinburghEdinburghUK
- Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) CollaborationEdinburghUK
- Centre for Clinical Brain SciencesUniversity of EdinburghUK
| | - Joanna M. Wardlaw
- Lothian Birth Cohorts, Department of PsychologyThe University of EdinburghEdinburghUK
- Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) CollaborationEdinburghUK
- Centre for Clinical Brain SciencesUniversity of EdinburghUK
| | | | | | | | - Ian J. Deary
- Lothian Birth Cohorts, Department of PsychologyThe University of EdinburghEdinburghUK
| | - Simon R. Cox
- Lothian Birth Cohorts, Department of PsychologyThe University of EdinburghEdinburghUK
- Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) CollaborationEdinburghUK
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15
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Guo Z, Hong X, Wang X, Chen W, Guo Z. Association of reduced cerebrospinal fluid NPTX2 levels with postoperative delirium in patients undergoing knee/hip replacement: a prospective cohort study. Aging Clin Exp Res 2024; 36:42. [PMID: 38367123 PMCID: PMC10874313 DOI: 10.1007/s40520-023-02670-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Accepted: 11/21/2023] [Indexed: 02/19/2024]
Abstract
BACKGROUND Postoperative delirium (POD) is a common complication with poor prognosis in the elderly, but its mechanism has not been fully elucidated. There is evidence that the changes in synaptic activity in the brain are closely related to the occurrence of POD. And neuronal pentraxin 2 (NPTX2) can regulate synaptic activity in vivo. AIMS This study aims to explore whether decreased NPTX2 levels affects POD and whether the cerebrospinal fluid (CSF) biomarkers of POD mediate this association. METHODS In this prospective cohort study, we interviewed patients with knee/hip replacement 1 day before surgery to collect patient information and assess their cognitive function. CSF was extracted for measuring the CSF levels of NPTX2 and other POD biomarkers on the day of surgery. And postoperative follow-up visits were performed 1-7 days after surgery. RESULTS Finally, 560 patients were included in the study. The patients were divided into POD group and NPOD (non-POD) group. The POD group had a median age of 80 years, a female proportion of 45%, a median BMI of 24.1 kg/m2, and a median years of education of 9 years. The Mann-Whitney U test showed that CSF NPTX2 levels were significantly lower in POD group, compared with the NPOD group (P < 0.05). Univariate binary logistic regression analysis showed that reduced CSF levels of NPTX2 protected against POD (crude OR = 0.994, 95% CI 0.993-0.995, P < 0.001). The receiver-operating characteristic (ROC) curve indicated that CSF NPTX2 level had high predictive value for POD. Mediation analyses showed that CSF T-tau (mediating proportion = 21%) and P-tau (mediating proportion = 29%) had significant mediating effects on the association between CSF NPTX2 and POD. CONCLUSION CSF NPTX2 levels were associated with the occurrence of POD. Low CSF NPTX2 levels may be an independent protective factor for POD. CSF T-tau and P-tau could mediate the association between CSF NPTX2 and POD occurrence. CLINICAL TRIAL REGISTRATION The trial registration number (TRN): ChiCTR2200064740, Date of Registration: 2022-10-15.
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Affiliation(s)
- Zongxiao Guo
- Department of Orthopedic Surgery, Hai'an People's Hospital, Haian, China
| | - Xiaoli Hong
- Department of Orthopedic Surgery, Hai'an People's Hospital, Haian, China
| | - Xiang Wang
- Department of Anesthesiology, Hai'an People's Hospital, Haian, China
| | - Weiguo Chen
- Department of Anesthesiology, Hai'an People's Hospital, Haian, China
| | - Zongfeng Guo
- Department of Anesthesiology, Hai'an People's Hospital, Haian, China.
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16
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Magisetty J, Gadiraju B, Kondreddy V. Genomic analysis in the colon tissues of omega-3 fatty acid-treated rats identifies novel gene signatures implicated in ulcerative colitis. Int J Biol Macromol 2024; 258:128867. [PMID: 38123036 DOI: 10.1016/j.ijbiomac.2023.128867] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Revised: 11/11/2023] [Accepted: 12/15/2023] [Indexed: 12/23/2023]
Abstract
Several long-term intervention trials only studied the ex vivo immunological function to elucidate the beneficial mechanisms of n-3 polyunsaturated fatty acids (PUFA) in the ulcerative colitis (UC). An unbiased whole-transcriptome analysis would be more valuable to obtain a comprehensive understanding of the processes and genes regulated by n-3 PUFA in vivo. In this study, we have performed microarray analysis in the colon tissues of dextran sulfate sodium (DSS)-induced UC in rats supplemented with n-6 PUFA, n-3PUFA and long-chain n-3PUFA (LC-n3PUFA). We have identified the novel gene signatures previously not linked to colitis such as Etv3, Clec4d, CD180, CD72, Megf11, and Angptl4 which are most downregulated in both n-3PUFA and LC-n3PUFA groups compared to the n-6PUFA group. The most upregulated genes were Nr1i3, Nptx2, and Zfp810 in both n-3PUFA and LC-n3PUFA groups. The RT-PCR analysis confirmed similar results. Interestingly, LPS treatment in macrophages upregulated the Megf11, Etv3, CD180, and Angptl4, and correlated with increased secretion of cytokines. Gene silencing of Etv3, Megf11, and CD180 in rats using intravascular delivery of siRNA-lipoparticles attenuated the DSS-induced ulceration and mucosal damage. Thus, our genome-wide microarray analysis identified novel genes regulated by omega-3 PUFA and offers new drug targets that could prevent or reduce UC.
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Affiliation(s)
- Jhansi Magisetty
- Department of Biochemistry, Central Food Technological Research Institute, Mysore 570020, India
| | - Bhavani Gadiraju
- Center for Lipid Science & Technology, The Indian Institute of Chemical Technology, Tarnaka, Hyderabad 500007, India
| | - Vijay Kondreddy
- Center for Lipid Science & Technology, The Indian Institute of Chemical Technology, Tarnaka, Hyderabad 500007, India.
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17
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Hruska-Plochan M, Wiersma VI, Betz KM, Mallona I, Ronchi S, Maniecka Z, Hock EM, Tantardini E, Laferriere F, Sahadevan S, Hoop V, Delvendahl I, Pérez-Berlanga M, Gatta B, Panatta M, van der Bourg A, Bohaciakova D, Sharma P, De Vos L, Frontzek K, Aguzzi A, Lashley T, Robinson MD, Karayannis T, Mueller M, Hierlemann A, Polymenidou M. A model of human neural networks reveals NPTX2 pathology in ALS and FTLD. Nature 2024; 626:1073-1083. [PMID: 38355792 PMCID: PMC10901740 DOI: 10.1038/s41586-024-07042-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Accepted: 01/08/2024] [Indexed: 02/16/2024]
Abstract
Human cellular models of neurodegeneration require reproducibility and longevity, which is necessary for simulating age-dependent diseases. Such systems are particularly needed for TDP-43 proteinopathies1, which involve human-specific mechanisms2-5 that cannot be directly studied in animal models. Here, to explore the emergence and consequences of TDP-43 pathologies, we generated induced pluripotent stem cell-derived, colony morphology neural stem cells (iCoMoNSCs) via manual selection of neural precursors6. Single-cell transcriptomics and comparison to independent neural stem cells7 showed that iCoMoNSCs are uniquely homogenous and self-renewing. Differentiated iCoMoNSCs formed a self-organized multicellular system consisting of synaptically connected and electrophysiologically active neurons, which matured into long-lived functional networks (which we designate iNets). Neuronal and glial maturation in iNets was similar to that of cortical organoids8. Overexpression of wild-type TDP-43 in a minority of neurons within iNets led to progressive fragmentation and aggregation of the protein, resulting in a partial loss of function and neurotoxicity. Single-cell transcriptomics revealed a novel set of misregulated RNA targets in TDP-43-overexpressing neurons and in patients with TDP-43 proteinopathies exhibiting a loss of nuclear TDP-43. The strongest misregulated target encoded the synaptic protein NPTX2, the levels of which are controlled by TDP-43 binding on its 3' untranslated region. When NPTX2 was overexpressed in iNets, it exhibited neurotoxicity, whereas correcting NPTX2 misregulation partially rescued neurons from TDP-43-induced neurodegeneration. Notably, NPTX2 was consistently misaccumulated in neurons from patients with amyotrophic lateral sclerosis and frontotemporal lobar degeneration with TDP-43 pathology. Our work directly links TDP-43 misregulation and NPTX2 accumulation, thereby revealing a TDP-43-dependent pathway of neurotoxicity.
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Affiliation(s)
| | - Vera I Wiersma
- Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland
| | - Katharina M Betz
- Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland
- Department of Molecular Life Sciences, University of Zurich, Zurich, Switzerland
- SIB Swiss Institute of Bioinformatics, University of Zurich, Zurich, Switzerland
| | - Izaskun Mallona
- Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland
- Department of Molecular Life Sciences, University of Zurich, Zurich, Switzerland
- SIB Swiss Institute of Bioinformatics, University of Zurich, Zurich, Switzerland
| | - Silvia Ronchi
- Department of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland
- MaxWell Biosystems AG, Zurich, Switzerland
| | - Zuzanna Maniecka
- Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland
| | - Eva-Maria Hock
- Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland
| | - Elena Tantardini
- Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland
| | - Florent Laferriere
- Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland
| | - Sonu Sahadevan
- Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland
| | - Vanessa Hoop
- Department of Molecular Life Sciences, University of Zurich, Zurich, Switzerland
| | - Igor Delvendahl
- Department of Molecular Life Sciences, University of Zurich, Zurich, Switzerland
| | | | - Beatrice Gatta
- Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland
| | - Martina Panatta
- Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland
| | | | - Dasa Bohaciakova
- Department of Histology and Embryology, Faculty of Medicine, Masaryk University Brno, Brno, Czech Republic
| | - Puneet Sharma
- Department of Chemistry, Biochemistry and Pharmaceutical Sciences, University of Bern, Bern, Switzerland
- NCCR RNA and Disease Technology Platform, Bern, Switzerland
| | - Laura De Vos
- Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland
| | - Karl Frontzek
- Institute of Neuropathology, University of Zurich, Zurich, Switzerland
| | - Adriano Aguzzi
- Institute of Neuropathology, University of Zurich, Zurich, Switzerland
| | - Tammaryn Lashley
- Queen Square Brain Bank for Neurological diseases, Department of Movement Disorders, UCL Institute of Neurology, London, UK
- Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
| | - Mark D Robinson
- Department of Molecular Life Sciences, University of Zurich, Zurich, Switzerland
- SIB Swiss Institute of Bioinformatics, University of Zurich, Zurich, Switzerland
| | | | - Martin Mueller
- Department of Molecular Life Sciences, University of Zurich, Zurich, Switzerland
| | - Andreas Hierlemann
- Department of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland
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18
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Dejanovic B, Sheng M, Hanson JE. Targeting synapse function and loss for treatment of neurodegenerative diseases. Nat Rev Drug Discov 2024; 23:23-42. [PMID: 38012296 DOI: 10.1038/s41573-023-00823-1] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/06/2023] [Indexed: 11/29/2023]
Abstract
Synapse dysfunction and loss are hallmarks of neurodegenerative diseases that correlate with cognitive decline. However, the mechanisms and therapeutic strategies to prevent or reverse synaptic damage remain elusive. In this Review, we discuss recent advances in understanding the molecular and cellular pathways that impair synapses in neurodegenerative diseases, including the effects of protein aggregation and neuroinflammation. We also highlight emerging therapeutic approaches that aim to restore synaptic function and integrity, such as enhancing synaptic plasticity, preventing synaptotoxicity, modulating neuronal network activity and targeting immune signalling. We discuss the preclinical and clinical evidence for each strategy, as well as the challenges and opportunities for developing effective synapse-targeting therapeutics for neurodegenerative diseases.
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Affiliation(s)
| | - Morgan Sheng
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Jesse E Hanson
- Department of Neuroscience, Genentech, South San Francisco, CA, USA.
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19
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Gollan TH, Garcia DL, Stasenko A, Murillo M, Kim C, Galasko D, Salmon DP. The MINT Sprint 2.0: A picture naming test for detection of naming impairments in Alzheimer's disease and in preclinical AD. Alzheimers Dement 2024; 20:112-123. [PMID: 37464962 PMCID: PMC10916946 DOI: 10.1002/alz.13381] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Revised: 05/28/2023] [Accepted: 06/14/2023] [Indexed: 07/20/2023]
Abstract
INTRODUCTION Evidence on the onset of naming deficits in Alzheimer's disease (AD) is mixed. Some studies showed an early decline, but others did not. The present study introduces evidence from a novel naming test. METHODS Cognitively normal (n = 138), mild cognitive impairment (MCI; n = 21), and Alzheimer's disease (AD; n = 31) groups completed an expanded Multilingual Naming Test with a time-pressured administration procedure (MINT Sprint 2.0). Cerebrospinal fluid biomarkers classified participants as true controls (n = 61) or preclinical AD (n = 26). RESULTS Total correct MINT Sprint 2.0 scores exhibited good sensitivity and specificity (>0.85) for discriminating true controls from cognitively impaired (MCI/AD) groups and showed significant differences between true controls and preclinical AD groups. Time measurement did not improve classification, but percent resolved scores exhibited promise as an independent AD marker. DISCUSSION Naming deficits can be detected in the earliest stages of AD with tests and procedures designed for this purpose.
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Affiliation(s)
- Tamar H. Gollan
- Department of PsychiatryUniversity of California, San DiegoLa JollaCaliforniaUSA
| | - Dalia L. Garcia
- Joint Doctoral Program in Language and Communicative DisordersSan Diego State University/University of California, San DiegoLa JollaCaliforniaUSA
| | - Alena Stasenko
- Department of PsychiatryUniversity of California, San DiegoLa JollaCaliforniaUSA
| | - Mayra Murillo
- Department of PsychiatryUniversity of California, San DiegoLa JollaCaliforniaUSA
| | - Chi Kim
- Department of NeurosciencesUniversity of CaliforniaSan Diego and Shiley‐Marcos Alzheimer's Disease Research CenterLa JollaCaliforniaUSA
| | - Douglas Galasko
- Department of NeurosciencesUniversity of CaliforniaSan Diego and Shiley‐Marcos Alzheimer's Disease Research CenterLa JollaCaliforniaUSA
| | - David P. Salmon
- Department of NeurosciencesUniversity of CaliforniaSan Diego and Shiley‐Marcos Alzheimer's Disease Research CenterLa JollaCaliforniaUSA
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20
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Fila M, Pawlowska E, Szczepanska J, Blasiak J. Different Aspects of Aging in Migraine. Aging Dis 2023; 14:2028-2050. [PMID: 37199585 PMCID: PMC10676778 DOI: 10.14336/ad.2023.0313] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2023] [Accepted: 03/13/2023] [Indexed: 05/19/2023] Open
Abstract
Migraine is a common neurological disease displaying an unusual dependence on age. For most patients, the peak intensity of migraine headaches occurs in 20s and lasts until 40s, but then headache attacks become less intense, occur less frequently and the disease is more responsive to therapy. This relationship is valid in both females and males, although the prevalence of migraine in the former is 2-4 times greater than the latter. Recent concepts present migraine not only as a pathological event, but rather as a part of evolutionary adaptive response to protect organism against consequences of stress-induced brain energy deficit. However, these concepts do not fully explain that unusual dependence of migraine prevalence on age. Many aspects of aging, both molecular/cellular and social/cognitive, are interwound in migraine pathogenesis, but they neither explain why only some persons are affected by migraine, nor suggest any causal relationship. In this narrative/hypothesis review we present information on associations of migraine with chronological aging, brain aging, cellular senescence, stem cell exhaustion as well as social, cognitive, epigenetic, and metabolic aging. We also underline the role of oxidative stress in these associations. We hypothesize that migraine affects only individuals who have inborn, genetic/epigenetic, or acquired (traumas, shocks or complexes) migraine predispositions. These predispositions weakly depend on age and affected individuals are more prone to migraine triggers than others. Although the triggers can be related to many aspects of aging, social aging may play a particularly important role as the prevalence of its associated stress has a similar age-dependence as the prevalence of migraine. Moreover, social aging was shown to be associated with oxidative stress, important in many aspects of aging. In perspective, molecular mechanisms underlying social aging should be further explored and related to migraine with a closer association with migraine predisposition and difference in prevalence by sex.
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Affiliation(s)
- Michal Fila
- Department of Developmental Neurology and Epileptology, Polish Mother’s Memorial Hospital Research Institute, 93-338 Lodz, Poland.
| | - Elzbieta Pawlowska
- Department of Pediatric Dentistry, Medical University of Lodz, 92-216 Lodz, Poland.
| | - Joanna Szczepanska
- Department of Pediatric Dentistry, Medical University of Lodz, 92-216 Lodz, Poland.
| | - Janusz Blasiak
- Department of Molecular Genetics, University of Lodz, Pomorska 141/143, 90-236, Lodz, Poland.
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21
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Hijazi S, Smit AB, van Kesteren RE. Fast-spiking parvalbumin-positive interneurons in brain physiology and Alzheimer's disease. Mol Psychiatry 2023; 28:4954-4967. [PMID: 37419975 PMCID: PMC11041664 DOI: 10.1038/s41380-023-02168-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Revised: 06/26/2023] [Accepted: 06/26/2023] [Indexed: 07/09/2023]
Abstract
Fast-spiking parvalbumin (PV) interneurons are inhibitory interneurons with unique morphological and functional properties that allow them to precisely control local circuitry, brain networks and memory processing. Since the discovery in 1987 that PV is expressed in a subset of fast-spiking GABAergic inhibitory neurons, our knowledge of the complex molecular and physiological properties of these cells has been expanding. In this review, we highlight the specific properties of PV neurons that allow them to fire at high frequency and with high reliability, enabling them to control network oscillations and shape the encoding, consolidation and retrieval of memories. We next discuss multiple studies reporting PV neuron impairment as a critical step in neuronal network dysfunction and cognitive decline in mouse models of Alzheimer's disease (AD). Finally, we propose potential mechanisms underlying PV neuron dysfunction in AD and we argue that early changes in PV neuron activity could be a causal step in AD-associated network and memory impairment and a significant contributor to disease pathogenesis.
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Affiliation(s)
- Sara Hijazi
- Department of Pharmacology, University of Oxford, Oxford, OX1 3QT, UK
| | - August B Smit
- Department of Molecular and Cellular Neurobiology, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, 1081 HV, Amsterdam, The Netherlands
| | - Ronald E van Kesteren
- Department of Molecular and Cellular Neurobiology, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, 1081 HV, Amsterdam, The Netherlands.
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22
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El Hayek L, DeVries D, Gogate A, Aiken A, Kaur K, Chahrour MH. Disruption of the autism gene and chromatin regulator KDM5A alters hippocampal cell identity. SCIENCE ADVANCES 2023; 9:eadi0074. [PMID: 37992166 PMCID: PMC10664992 DOI: 10.1126/sciadv.adi0074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Accepted: 10/25/2023] [Indexed: 11/24/2023]
Abstract
Chromatin regulation plays a pivotal role in establishing and maintaining cellular identity and is one of the top pathways disrupted in autism spectrum disorder (ASD). The hippocampus, composed of distinct cell types, is often affected in patients with ASD. However, the specific hippocampal cell types and their transcriptional programs that are dysregulated in ASD are unknown. Using single-nucleus RNA sequencing, we show that the ASD gene, lysine demethylase 5A (KDM5A), regulates the development of specific subtypes of excitatory and inhibitory neurons. We found that KDM5A is essential for establishing hippocampal cell identity by controlling a differentiation switch early in development. Our findings define a role for the chromatin regulator KDM5A in establishing hippocampal cell identity and contribute to the emerging convergent mechanisms across ASD.
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Affiliation(s)
- Lauretta El Hayek
- Eugene McDermott Center for Human Growth and Development, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Darlene DeVries
- Eugene McDermott Center for Human Growth and Development, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Ashlesha Gogate
- Eugene McDermott Center for Human Growth and Development, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Ariel Aiken
- Eugene McDermott Center for Human Growth and Development, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Kiran Kaur
- Eugene McDermott Center for Human Growth and Development, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Maria H. Chahrour
- Eugene McDermott Center for Human Growth and Development, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
- Department of Neuroscience, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
- Center for the Genetics of Host Defense, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
- Peter O’Donnell Jr. Brain Institute, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
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23
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Li Y, Zhang S, Liu J, Zhang Y, Zhang N, Cheng Q, Zhang H, Wu X. The pentraxin family in autoimmune disease. Clin Chim Acta 2023; 551:117592. [PMID: 37832905 DOI: 10.1016/j.cca.2023.117592] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 10/08/2023] [Accepted: 10/10/2023] [Indexed: 10/15/2023]
Abstract
The pentraxins represent a family of multifunctional proteins composed of long and short pentamers. The latter includes serum amyloid P component (SAP) and C-reactive protein (CRP) whereas the former includes neuronal PTX1 and PTX2 (NPTX1 and NPTX2, respectively), PTX3 and PTX4. These serve as a bridge between adaptive immunity and innate immunity and a link between inflammation and immunity. Similarities and differences between long and short pentamers are examined and their roles in autoimmune disease are discussed. Increased CRP and PTX3 could indicate the activity of rheumatoid arthritis, systemic lupus erythematosus or other autoimmune diseases. Mechanistically, CRP and PTX3 may predict target organ injury, regulate bone metabolic immunity and maintain homeostasis as well as participate in vascular endothelial remodeling. Interestingly, PTX3 is pleiotropic, being involved in inflammation and tissue repair. Given the therapeutic potential of PTX3 and CRP, targeting these factors to exert a beneficial effect is the focus of research efforts. Unfortunately, studies on NPTX1, NPTX2, PTX4 and SAP are scarce and more research is clearly needed to elaborate their potential roles in autoimmune disease.
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Affiliation(s)
- Yongzhen Li
- Department of Pediatrics, The Second Xiangya Hospital, Central South University, Changsha, Hunan, PR China
| | - Shouzan Zhang
- Department of Neurosurgery, Peking University Third Hospital, Beijing, PR China
| | - Jingqi Liu
- Department of Pediatrics, The Second Xiangya Hospital, Central South University, Changsha, Hunan, PR China
| | - Yudi Zhang
- Department of Pediatrics, The Second Xiangya Hospital, Central South University, Changsha, Hunan, PR China
| | - Nan Zhang
- College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, PR China
| | - Quan Cheng
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan, PR China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Hunan, PR China.
| | - Hao Zhang
- Department of Neurosurgery, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, PR China.
| | - Xiaochuan Wu
- Department of Pediatrics, The Second Xiangya Hospital, Central South University, Changsha, Hunan, PR China.
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24
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Izuo N, Watanabe N, Noda Y, Saito T, Saido TC, Yokote K, Hotta H, Shimizu T. Insulin resistance induces earlier initiation of cognitive dysfunction mediated by cholinergic deregulation in a mouse model of Alzheimer's disease. Aging Cell 2023; 22:e13994. [PMID: 37822109 PMCID: PMC10652326 DOI: 10.1111/acel.13994] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Revised: 08/29/2023] [Accepted: 09/06/2023] [Indexed: 10/13/2023] Open
Abstract
Although insulin resistance increases the risk of Alzheimer's disease (AD), the mechanisms remain unclear, partly because no animal model exhibits the insulin-resistant phenotype without persistent hyperglycemia. Here we established an AD model with whole-body insulin resistance without persistent hyperglycemia (APP/IR-dKI mice) by crossbreeding constitutive knock-in mice with P1195L-mutated insulin receptor (IR-KI mice) and those with mutated amyloid precursor protein (AppNL-G-F mice: APP-KI mice). APP/IR-dKI mice exhibited cognitive impairment at an earlier age than APP-KI mice. Since cholinergic dysfunction is a major characteristic of AD, pharmacological interventions on the cholinergic system were performed to investigate the mechanism. Antagonism to a nicotinic acetylcholine receptor α7 (nAChRα7) suppressed cognitive function and cortical blood flow (CBF) response to cholinergic-regulated peripheral stimulation in APP-KI mice but not APP/IR-dKI mice. Cortical expression of Chrna7, encoding nAChRα7, was downregulated in APP/IR-dKI mice compared with APP-KI. Amyloid β burden did not differ between APP-KI and APP/IR-dKI mice. Therefore, insulin resistance, not persistent hyperglycemia, induces the earlier onset of cognitive dysfunction and CBF deregulation mediated by nAChRα7 downregulation. Our mouse model will help clarify the association between type 2 diabetes mellitus and AD.
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Affiliation(s)
- Naotaka Izuo
- Department of Endocrinology, Hematology and Gerontology, Graduate School of MedicineChiba UniversityChibaJapan
- Department of Pharmaceutical Therapy and Neuropharmacology, Graduate School of Medical and Pharmaceutical SciencesUniversity of ToyamaToyamaJapan
| | - Nobuhiro Watanabe
- Department of Autonomic NeuroscienceTokyo Metropolitan Institute for Geriatrics and GerontologyTokyoJapan
| | - Yoshihiro Noda
- Department of Animal FacilityTokyo Metropolitan Institute for Geriatrics and GerontologyTokyoJapan
| | - Takashi Saito
- Laboratory for Proteolytic NeuroscienceRIKEN Center for Brain ScienceWakoJapan
- Department of Neurocognitive ScienceInstitute of Brain Science, Nagoya City University Graduate School of Medical SciencesNagoyaJapan
| | - Takaomi C. Saido
- Laboratory for Proteolytic NeuroscienceRIKEN Center for Brain ScienceWakoJapan
| | - Koutaro Yokote
- Department of Endocrinology, Hematology and Gerontology, Graduate School of MedicineChiba UniversityChibaJapan
| | - Harumi Hotta
- Department of Autonomic NeuroscienceTokyo Metropolitan Institute for Geriatrics and GerontologyTokyoJapan
| | - Takahiko Shimizu
- Department of Endocrinology, Hematology and Gerontology, Graduate School of MedicineChiba UniversityChibaJapan
- Aging Stress Response Research Project TeamNational Center for Geriatrics and GerontologyObuJapan
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25
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Gray DT, Zempare M, Carey N, Khattab S, Sinakevitch I, De Biase LM, Barnes CA. Extracellular matrix proteoglycans support aged hippocampus networks: a potential cellular-level mechanism of brain reserve. Neurobiol Aging 2023; 131:52-58. [PMID: 37572527 PMCID: PMC10529564 DOI: 10.1016/j.neurobiolaging.2023.07.010] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 07/12/2023] [Accepted: 07/14/2023] [Indexed: 08/14/2023]
Abstract
One hallmark of normative brain aging is vast heterogeneity in whether older people succumb to or resist cognitive decline. Resilience describes a brain's capacity to maintain cognition in the face of aging and disease. One factor influencing resilience is brain reserve-the status of neurobiological resources available to support neuronal circuits as dysfunction accumulates. This study uses a cohort of behaviorally characterized adult, middle-aged, and aged rats to test whether neurobiological factors that protect inhibitory neurotransmission and synapse function represent key components of brain reserve. Histochemical analysis of extracellular matrix proteoglycans, which play critical roles in stabilizing synapses and modulating inhibitory neuron excitability, was conducted alongside analyses of lipofuscin-associated autofluorescence. The findings indicate that aging results in lower proteoglycan density and more lipofuscin in CA3. Aged rats with higher proteoglycan density exhibited better performance on the Morris watermaze, whereas lipofuscin abundance was not related to spatial memory. These data suggest that the local environment around neurons may protect against synapse dysfunction or hyperexcitability and could contribute to brain reserve mechanisms.
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Affiliation(s)
- Daniel T Gray
- Department of Physiology, David Geffen School of Medicine, UCLA, Los Angeles, CA, USA
| | - Marc Zempare
- Evelyn F. McKnight Brain Institute, University of Arizona, Tucson, AZ, USA
| | - Natalie Carey
- Evelyn F. McKnight Brain Institute, University of Arizona, Tucson, AZ, USA
| | - Salma Khattab
- Evelyn F. McKnight Brain Institute, University of Arizona, Tucson, AZ, USA
| | - Irina Sinakevitch
- Evelyn F. McKnight Brain Institute, University of Arizona, Tucson, AZ, USA
| | - Lindsay M De Biase
- Department of Physiology, David Geffen School of Medicine, UCLA, Los Angeles, CA, USA
| | - Carol A Barnes
- Evelyn F. McKnight Brain Institute, University of Arizona, Tucson, AZ, USA; Departments of Psychology, Neurology and Neuroscience, University of Arizona, Tucson, AZ, USA.
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26
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Huang XF, Xu MX, Chen YF, Lin YQ, Lin YX, Wang F. Serum neuronal pentraxin 2 is related to cognitive dysfunction and electroencephalogram slow wave/fast wave frequency ratio in epilepsy. World J Psychiatry 2023; 13:714-723. [PMID: 38058685 PMCID: PMC10696288 DOI: 10.5498/wjp.v13.i10.714] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 09/08/2023] [Accepted: 09/22/2023] [Indexed: 10/11/2023] Open
Abstract
BACKGROUND Cognitive dysfunction in epileptic patients is a high-incidence complication. Its mechanism is related to nervous system damage during seizures, but there is no effective diagnostic biomarker. Neuronal pentraxin 2 (NPTX2) is thought to play a vital role in neurotransmission and the maintenance of synaptic plasticity. This study explored how serum NPTX2 and electroencephalogram (EEG) slow wave/fast wave frequency ratio relate to cognitive dysfunction in patients with epilepsy. AIM To determine if serum NPTX2 could serve as a potential biomarker for diagnosing cognitive impairment in epilepsy patients. METHODS The participants of this study, conducted from January 2020 to December 2021, comprised 74 epilepsy patients with normal cognitive function (normal group), 37 epilepsy patients with cognitive dysfunction [epilepsy patients with cognitive dysfunction (ECD) group] and 30 healthy people (control group). The mini-mental state examination (MMSE) scale was used to evaluate cognitive function. We determined serum NPTX2 levels using an enzyme-linked immunosorbent kit and calculated the signal value of EEG regions according to the EEG recording. Pearson correlation coefficient was used to analyze the correlation between serum NPTX2 and the MMSE score. RESULTS The serum NPTX2 level in the control group, normal group and ECD group were 240.00 ± 35.06 pg/mL, 235.80 ± 38.01 pg/mL and 193.80 ± 42.72 pg/mL, respectively. The MMSE score was lowest in the ECD group among the three, while no significant difference was observed between the control and normal groups. In epilepsy patients with cognitive dysfunction, NPTX2 level had a positive correlation with the MMSE score (r = 0.367, P = 0.0253) and a negative correlation with epilepsy duration (r = -0.443, P = 0.0061) and the EEG slow wave/fast wave frequency ratio value in the temporal region (r = -0.339, P = 0.039). CONCLUSION Serum NPTX2 was found to be related to cognitive dysfunction and the EEG slow wave/fast wave frequency ratio in patients with epilepsy. It is thus a potential biomarker for the diagnosis of cognitive impairment in patients with epilepsy.
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Affiliation(s)
- Xiao-Fen Huang
- Department of Neurosurgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou 350005, Fujian Province, China
| | - Ming-Xia Xu
- Department of Neurosurgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou 350005, Fujian Province, China
| | - Yue-Fan Chen
- Department of Neurosurgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou 350005, Fujian Province, China
| | - Yun-Qing Lin
- Department of Neurosurgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou 350005, Fujian Province, China
| | - Yuan-Xiang Lin
- Department of Neurosurgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou 350005, Fujian Province, China
| | - Feng Wang
- Department of Neurosurgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou 350212, Fujian Province, China
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27
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Soldan A, Oh S, Ryu T, Pettigrew C, Zhu Y, Moghekar A, Xiao MF, Pontone GM, Albert M, Na CH, Worley P. NPTX2 in Cerebrospinal Fluid Predicts the Progression From Normal Cognition to Mild Cognitive Impairment. Ann Neurol 2023; 94:620-631. [PMID: 37345460 PMCID: PMC10543570 DOI: 10.1002/ana.26725] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Revised: 05/31/2023] [Accepted: 06/04/2023] [Indexed: 06/23/2023]
Abstract
OBJECTIVE This study examined whether cerebrospinal fluid (CSF) baseline levels of the synaptic protein NPTX2 predict time to onset of symptoms of mild cognitive impairment (MCI), both alone and when accounting for traditional CSF Alzheimer's disease (AD) biomarker levels. Longitudinal NPTX2 levels were also examined. METHODS CSF was collected longitudinally from 269 cognitively normal BIOCARD Study participants (mean baseline age = 57.7 years; mean follow-up = 16.3 years; n = 77 progressed to MCI/dementia). NPTX2 levels were measured from 3 correlated peptides using quantitative parallel reaction monitoring mass spectrometry. Levels of Aβ42 /Aβ40 , p-tau181 , and t-tau were measured from the same CSF specimens using Lumipulse automated electrochemiluminescence assays. RESULTS In Cox regression models, lower baseline NPTX2 levels were associated with an earlier time to MCI symptom onset (hazard ratio [HR] = 0.76, SE = 0.09, p = 0.023). This association was significant for progression within 7 years (p = 0.036) and after 7 years from baseline (p = 0.001). Baseline NPTX2 levels improved prediction of time to MCI symptom onset after accounting for baseline AD biomarker levels (p < 0.01), and NPTX2 did not interact with the CSF AD biomarkers or APOE-ε4 genetic status. In linear mixed effects models, higher baseline p-tau181 and t-tau levels were associated with higher baseline levels of NPTX2 (both p < 0.001) and greater rates of NPTX2 declines over time. INTERPRETATION NPTX2 may be a valuable prognostic biomarker during preclinical AD that provides additive and independent prediction of MCI onset among individuals who are cognitively normal. We hypothesize that NPTX2-mediated circuit homeostasis confers resilience during the early phase of AD. ANN NEUROL 2023;94:620-631.
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Affiliation(s)
- Anja Soldan
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Sungtaek Oh
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD
- Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Taekyung Ryu
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD
- Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Corinne Pettigrew
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Yuxin Zhu
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
- Armstrong Institute for Patient Safety and Quality, Johns Hopkins Medicine, Baltimore, MD
| | - Abhay Moghekar
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Mei-Fang Xiao
- Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Gregory M. Pontone
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD
- Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Marilyn Albert
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Chan-Hyun Na
- Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Paul Worley
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD
- Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD
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28
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Chappelle SD, Gigliotti C, Léger GC, Peavy GM, Jacobs DM, Banks SJ, Little EA, Galasko D, Salmon DP. Comparison of the telephone-Montreal Cognitive Assessment (T-MoCA) and Telephone Interview for Cognitive Status (TICS) as screening tests for early Alzheimer's disease. Alzheimers Dement 2023; 19:4599-4608. [PMID: 36939111 PMCID: PMC10509307 DOI: 10.1002/alz.13039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 02/16/2023] [Accepted: 02/19/2023] [Indexed: 03/21/2023]
Abstract
INTRODUCTION Remote screening for cognitive impairment associated with Alzheimer's disease (AD) has grown in importance with the expected rise in prevalence of AD in an aging population and with new potential treatment options. METHODS The Telephone Interview for Cognitive Status (TICS) and new telephone adaptation of the Montreal Cognitive Assessment (T-MoCA) were administered to participants independently classified through in-person clinical evaluation as cognitively normal (CN; n = 167), mild cognitive impairment (MCI; n = 25), or dementia (n = 23). Cerebrospinal fluid AD biomarkers were measured (n = 79). RESULTS TICS and T-MoCA were highly correlated (r = 0.787; P < 0.001): groups differed on both (CN DISCUSSION TICS and T-MoCA are effective for remotely detecting cognitive impairment associated with AD in older adults. Strong correlation between tests provides construct validity for the newer T-MoCA. HIGHLIGHTS Construct validity for the telephone adaptation of the Montreal Cognitive Assessment (T-MoCA) was newly established against the Telephone Interview for Cognitive Status (TICS). TICS and T-MoCA effectively detected cognitive impairment with remote administration. Both tests negatively correlated with a composite cerebrospinal fluid Alzheimer's disease (AD) biomarker (tau/amyloid beta 1-42).
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Affiliation(s)
- Sheridan D Chappelle
- Shiley-Marcos Alzheimer's Disease Research Center, Department of Neurosciences, University of California, San Diego, La Jolla, California, USA
| | - Christina Gigliotti
- Shiley-Marcos Alzheimer's Disease Research Center, Department of Neurosciences, University of California, San Diego, La Jolla, California, USA
| | - Gabriel C Léger
- Shiley-Marcos Alzheimer's Disease Research Center, Department of Neurosciences, University of California, San Diego, La Jolla, California, USA
| | - Guerry M Peavy
- Shiley-Marcos Alzheimer's Disease Research Center, Department of Neurosciences, University of California, San Diego, La Jolla, California, USA
| | - Diane M Jacobs
- Shiley-Marcos Alzheimer's Disease Research Center, Department of Neurosciences, University of California, San Diego, La Jolla, California, USA
| | - Sarah J Banks
- Shiley-Marcos Alzheimer's Disease Research Center, Department of Neurosciences, University of California, San Diego, La Jolla, California, USA
| | - Emily A Little
- Shiley-Marcos Alzheimer's Disease Research Center, Department of Neurosciences, University of California, San Diego, La Jolla, California, USA
| | - Douglas Galasko
- Shiley-Marcos Alzheimer's Disease Research Center, Department of Neurosciences, University of California, San Diego, La Jolla, California, USA
| | - David P Salmon
- Shiley-Marcos Alzheimer's Disease Research Center, Department of Neurosciences, University of California, San Diego, La Jolla, California, USA
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29
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Hernández-Frausto M, Bilash OM, Masurkar AV, Basu J. Local and long-range GABAergic circuits in hippocampal area CA1 and their link to Alzheimer's disease. Front Neural Circuits 2023; 17:1223891. [PMID: 37841892 PMCID: PMC10570439 DOI: 10.3389/fncir.2023.1223891] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 09/08/2023] [Indexed: 10/17/2023] Open
Abstract
GABAergic inhibitory neurons are the principal source of inhibition in the brain. Traditionally, their role in maintaining the balance of excitation-inhibition has been emphasized. Beyond homeostatic functions, recent circuit mapping and functional manipulation studies have revealed a wide range of specific roles that GABAergic circuits play in dynamically tilting excitation-inhibition coupling across spatio-temporal scales. These span from gating of compartment- and input-specific signaling, gain modulation, shaping input-output functions and synaptic plasticity, to generating signal-to-noise contrast, defining temporal windows for integration and rate codes, as well as organizing neural assemblies, and coordinating inter-regional synchrony. GABAergic circuits are thus instrumental in controlling single-neuron computations and behaviorally-linked network activity. The activity dependent modulation of sensory and mnemonic information processing by GABAergic circuits is pivotal for the formation and maintenance of episodic memories in the hippocampus. Here, we present an overview of the local and long-range GABAergic circuits that modulate the dynamics of excitation-inhibition and disinhibition in the main output area of the hippocampus CA1, which is crucial for episodic memory. Specifically, we link recent findings pertaining to GABAergic neuron molecular markers, electrophysiological properties, and synaptic wiring with their function at the circuit level. Lastly, given that area CA1 is particularly impaired during early stages of Alzheimer's disease, we emphasize how these GABAergic circuits may contribute to and be involved in the pathophysiology.
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Affiliation(s)
- Melissa Hernández-Frausto
- Neuroscience Institute, New York University Langone Health, New York, NY, United States
- Department of Neuroscience and Physiology, New York University Grossman School of Medicine, New York, NY, United States
| | - Olesia M. Bilash
- Neuroscience Institute, New York University Langone Health, New York, NY, United States
- Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, United States
| | - Arjun V. Masurkar
- Neuroscience Institute, New York University Langone Health, New York, NY, United States
- Department of Neuroscience and Physiology, New York University Grossman School of Medicine, New York, NY, United States
- Center for Cognitive Neurology, Department of Neurology, New York University Grossman School of Medicine, New York, NY, United States
| | - Jayeeta Basu
- Neuroscience Institute, New York University Langone Health, New York, NY, United States
- Department of Neuroscience and Physiology, New York University Grossman School of Medicine, New York, NY, United States
- Department of Psychiatry, New York University Grossman School of Medicine, New York, NY, United States
- Center for Neural Science, New York University, New York, NY, United States
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30
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Mathys H, Peng Z, Boix CA, Victor MB, Leary N, Babu S, Abdelhady G, Jiang X, Ng AP, Ghafari K, Kunisky AK, Mantero J, Galani K, Lohia VN, Fortier GE, Lotfi Y, Ivey J, Brown HP, Patel PR, Chakraborty N, Beaudway JI, Imhoff EJ, Keeler CF, McChesney MM, Patel HH, Patel SP, Thai MT, Bennett DA, Kellis M, Tsai LH. Single-cell atlas reveals correlates of high cognitive function, dementia, and resilience to Alzheimer's disease pathology. Cell 2023; 186:4365-4385.e27. [PMID: 37774677 PMCID: PMC10601493 DOI: 10.1016/j.cell.2023.08.039] [Citation(s) in RCA: 49] [Impact Index Per Article: 49.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Revised: 05/20/2023] [Accepted: 08/29/2023] [Indexed: 10/01/2023]
Abstract
Alzheimer's disease (AD) is the most common cause of dementia worldwide, but the molecular and cellular mechanisms underlying cognitive impairment remain poorly understood. To address this, we generated a single-cell transcriptomic atlas of the aged human prefrontal cortex covering 2.3 million cells from postmortem human brain samples of 427 individuals with varying degrees of AD pathology and cognitive impairment. Our analyses identified AD-pathology-associated alterations shared between excitatory neuron subtypes, revealed a coordinated increase of the cohesin complex and DNA damage response factors in excitatory neurons and in oligodendrocytes, and uncovered genes and pathways associated with high cognitive function, dementia, and resilience to AD pathology. Furthermore, we identified selectively vulnerable somatostatin inhibitory neuron subtypes depleted in AD, discovered two distinct groups of inhibitory neurons that were more abundant in individuals with preserved high cognitive function late in life, and uncovered a link between inhibitory neurons and resilience to AD pathology.
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Affiliation(s)
- Hansruedi Mathys
- Picower Institute for Learning and Memory, MIT, Cambridge, MA 02139, USA; Department of Brain and Cognitive Sciences, MIT, Cambridge, MA 02139, USA; University of Pittsburgh Brain Institute and Department of Neurobiology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15261, USA.
| | - Zhuyu Peng
- Picower Institute for Learning and Memory, MIT, Cambridge, MA 02139, USA; Department of Brain and Cognitive Sciences, MIT, Cambridge, MA 02139, USA
| | - Carles A Boix
- Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge, MA 02139, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Matheus B Victor
- Picower Institute for Learning and Memory, MIT, Cambridge, MA 02139, USA; Department of Brain and Cognitive Sciences, MIT, Cambridge, MA 02139, USA
| | - Noelle Leary
- Picower Institute for Learning and Memory, MIT, Cambridge, MA 02139, USA; Department of Brain and Cognitive Sciences, MIT, Cambridge, MA 02139, USA
| | - Sudhagar Babu
- University of Pittsburgh Brain Institute and Department of Neurobiology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15261, USA
| | - Ghada Abdelhady
- University of Pittsburgh Brain Institute and Department of Neurobiology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15261, USA
| | - Xueqiao Jiang
- Picower Institute for Learning and Memory, MIT, Cambridge, MA 02139, USA; Department of Brain and Cognitive Sciences, MIT, Cambridge, MA 02139, USA
| | - Ayesha P Ng
- Picower Institute for Learning and Memory, MIT, Cambridge, MA 02139, USA; Department of Brain and Cognitive Sciences, MIT, Cambridge, MA 02139, USA
| | - Kimia Ghafari
- University of Pittsburgh Brain Institute and Department of Neurobiology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15261, USA
| | - Alexander K Kunisky
- University of Pittsburgh Brain Institute and Department of Neurobiology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15261, USA
| | - Julio Mantero
- Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge, MA 02139, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Kyriaki Galani
- Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge, MA 02139, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Vanshika N Lohia
- University of Pittsburgh Brain Institute and Department of Neurobiology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15261, USA
| | - Gabrielle E Fortier
- University of Pittsburgh Brain Institute and Department of Neurobiology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15261, USA
| | - Yasmine Lotfi
- University of Pittsburgh Brain Institute and Department of Neurobiology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15261, USA
| | - Jason Ivey
- University of Pittsburgh Brain Institute and Department of Neurobiology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15261, USA
| | - Hannah P Brown
- University of Pittsburgh Brain Institute and Department of Neurobiology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15261, USA
| | - Pratham R Patel
- University of Pittsburgh Brain Institute and Department of Neurobiology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15261, USA
| | - Nehal Chakraborty
- University of Pittsburgh Brain Institute and Department of Neurobiology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15261, USA
| | - Jacob I Beaudway
- University of Pittsburgh Brain Institute and Department of Neurobiology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15261, USA
| | - Elizabeth J Imhoff
- University of Pittsburgh Brain Institute and Department of Neurobiology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15261, USA
| | - Cameron F Keeler
- University of Pittsburgh Brain Institute and Department of Neurobiology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15261, USA
| | - Maren M McChesney
- University of Pittsburgh Brain Institute and Department of Neurobiology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15261, USA
| | - Haishal H Patel
- University of Pittsburgh Brain Institute and Department of Neurobiology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15261, USA
| | - Sahil P Patel
- University of Pittsburgh Brain Institute and Department of Neurobiology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15261, USA
| | - Megan T Thai
- University of Pittsburgh Brain Institute and Department of Neurobiology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15261, USA
| | | | - Manolis Kellis
- Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge, MA 02139, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
| | - Li-Huei Tsai
- Picower Institute for Learning and Memory, MIT, Cambridge, MA 02139, USA; Department of Brain and Cognitive Sciences, MIT, Cambridge, MA 02139, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
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Roh SE, Xiao M, Delgado A, Kwak C, Savonenko A, Bakker A, Kwon HB, Worley P. Sleep and circadian rhythm disruption by NPTX2 loss of function. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.09.26.559408. [PMID: 37808783 PMCID: PMC10557648 DOI: 10.1101/2023.09.26.559408] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/10/2023]
Abstract
Sleep and circadian rhythm disruption (SCRD) is commonly observed in aging, especially in individuals who experience progressive cognitive decline to mild cognitive impairment (MCI) and Alzheimer's disease (AD). However, precise molecular mechanisms underlying the association between SCRD and aging are not fully understood. Orexin A is a well-characterized "sleep neuropeptide" that is expressed in hypothalamic neurons and evokes wake behavior. The importance of Orexin is exemplified in narcolepsy where it is profoundly down-regulated. Interestingly, the synaptic immediate early gene NPTX2 is co-expressed in Orexin neurons and is similarly reduced in narcolepsy. NPTX2 is also down-regulated in CSF of some cognitively normal older individuals and predicts the time of transition from normal cognition to MCI. The association between Orexin and NPTX2 is further evinced here where we observe that Orexin A and NPTX2 are highly correlated in CSF of cognitively normal aged individuals and raises the question of whether SCRD that are typically attributed to Orexin A loss of function may be modified by concomitant NPTX2 down-regulation. Is NPTX2 an effector of sleep or simply a reporter of orexin-dependent SCRD? To address this question, we examined NPTX2 KO mice and found they retain Orexin expression in the brain and so provide an opportunity to examine the specific contribution of NPTX2 to SCRD. Our results reveal that NPTX2 KO mice exhibit a disrupted circadian onset time, coupled with increased activity during the sleep phase, suggesting difficulties in maintaining states. Sleep EEG indicates distinct temporal allocation shifts across vigilance states, characterized by reduced wake and increased NREM time. Evident sleep fragmentation manifests through alterations of event occurrences during Wake and NREM, notably during light transition periods, in conjunction with an increased frequency of sleep transitions in NPTX2 KO mice, particularly between Wake and NREM. EEG spectral analysis indicated significant shifts in power across various frequency bands in the wake, NREM, and REM states, suggestive of disrupted neuronal synchronicity. An intriguing observation is the diminished occurrence of sleep spindles, one of the earliest measures of human sleep disruption, in NPTX2 KO mice. These findings highlight the effector role of NPTX2 loss of function as an instigator of SCRD and a potential mediator of sleep disruption in aging.
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Affiliation(s)
- Seung-Eon Roh
- Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Meifang Xiao
- Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Ana Delgado
- Cellular and Molecular Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Chuljung Kwak
- Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Alena Savonenko
- Department of Neuroanatomy, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Arnold Bakker
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Hyung-Bae Kwon
- Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Paul Worley
- Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Cellular and Molecular Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
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32
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Moodie JE, Harris SE, Harris MA, Buchanan CR, Davies G, Taylor A, Redmond P, Liewald D, Del C Valdés Hernández M, Shenkin S, Russ TC, Muñoz Maniega S, Luciano M, Corley J, Stolicyn A, Shen X, Steele D, Waiter G, Sandu-Giuraniuc A, Bastin ME, Wardlaw JM, McIntosh A, Whalley H, Tucker-Drob EM, Deary IJ, Cox SR. General and specific patterns of cortical gene expression as spatial correlates of complex cognitive functioning. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.03.16.532915. [PMID: 36993650 PMCID: PMC10055068 DOI: 10.1101/2023.03.16.532915] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Abstract
Gene expression varies across the brain. This spatial patterning denotes specialised support for particular brain functions. However, the way that a given gene's expression fluctuates across the brain may be governed by general rules. Quantifying patterns of spatial covariation across genes would offer insights into the molecular characteristics of brain areas supporting, for example, complex cognitive functions. Here, we use principal component analysis to separate general and unique gene regulatory associations with cortical substrates of cognition. We find that the region-to-region variation in cortical expression profiles of 8235 genes covaries across two major principal components : gene ontology analysis suggests these dimensions are characterised by downregulation and upregulation of cell-signalling/modification and transcription factors. We validate these patterns out-of-sample and across different data processing choices. Brain regions more strongly implicated in general cognitive functioning (g; 3 cohorts, total meta-analytic N = 39,519) tend to be more balanced between downregulation and upregulation of both major components (indicated by regional component scores). We then identify a further 41 genes as candidate cortical spatial correlates of g, beyond the patterning of the two major components (|β| range = 0.15 to 0.53). Many of these genes have been previously associated with clinical neurodegenerative and psychiatric disorders, or with other health-related phenotypes. The results provide insights into the cortical organisation of gene expression and its association with individual differences in cognitive functioning.
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Affiliation(s)
- Joanna E Moodie
- Lothian Birth Cohorts, Department of Psychology, The University of Edinburgh, UK
- Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, Edinburgh, UK
| | - Sarah E Harris
- Lothian Birth Cohorts, Department of Psychology, The University of Edinburgh, UK
| | - Mathew A Harris
- Lothian Birth Cohorts, Department of Psychology, The University of Edinburgh, UK
| | - Colin R Buchanan
- Lothian Birth Cohorts, Department of Psychology, The University of Edinburgh, UK
- Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, Edinburgh, UK
| | - Gail Davies
- Lothian Birth Cohorts, Department of Psychology, The University of Edinburgh, UK
| | - Adele Taylor
- Lothian Birth Cohorts, Department of Psychology, The University of Edinburgh, UK
| | - Paul Redmond
- Lothian Birth Cohorts, Department of Psychology, The University of Edinburgh, UK
| | - David Liewald
- Lothian Birth Cohorts, Department of Psychology, The University of Edinburgh, UK
| | - Maria Del C Valdés Hernández
- Lothian Birth Cohorts, Department of Psychology, The University of Edinburgh, UK
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, UK
| | - Susan Shenkin
- Lothian Birth Cohorts, Department of Psychology, The University of Edinburgh, UK
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, UK
- Ageing and Health Research Group, Usher Institute, University of Edinburgh, UK
| | - Tom C Russ
- Lothian Birth Cohorts, Department of Psychology, The University of Edinburgh, UK
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, UK
- Alzheimer Scotland Dementia Research Centre, University of Edinburgh, UK
| | - Susana Muñoz Maniega
- Lothian Birth Cohorts, Department of Psychology, The University of Edinburgh, UK
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, UK
| | - Michelle Luciano
- Lothian Birth Cohorts, Department of Psychology, The University of Edinburgh, UK
| | - Janie Corley
- Lothian Birth Cohorts, Department of Psychology, The University of Edinburgh, UK
| | - Aleks Stolicyn
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, UK
| | - Xueyi Shen
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, UK
| | - Douglas Steele
- Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, Edinburgh, UK
| | - Gordon Waiter
- Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, Edinburgh, UK
| | - Anca Sandu-Giuraniuc
- Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, Edinburgh, UK
| | - Mark E Bastin
- Lothian Birth Cohorts, Department of Psychology, The University of Edinburgh, UK
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, UK
| | - Joanna M Wardlaw
- Lothian Birth Cohorts, Department of Psychology, The University of Edinburgh, UK
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, UK
| | - Andrew McIntosh
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, UK
| | - Heather Whalley
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, UK
| | | | - Ian J Deary
- Lothian Birth Cohorts, Department of Psychology, The University of Edinburgh, UK
| | - Simon R Cox
- Lothian Birth Cohorts, Department of Psychology, The University of Edinburgh, UK
- Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, Edinburgh, UK
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Haque R, Watson CM, Liu J, Carter EK, Duong DM, Lah JJ, Wingo AP, Roberts BR, Johnson EC, Saykin AJ, Shaw LM, Seyfried NT, Wingo TS, Levey AI. A protein panel in cerebrospinal fluid for diagnostic and predictive assessment of Alzheimer's disease. Sci Transl Med 2023; 15:eadg4122. [PMID: 37672565 PMCID: PMC10880442 DOI: 10.1126/scitranslmed.adg4122] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2022] [Accepted: 08/17/2023] [Indexed: 09/08/2023]
Abstract
Alzheimer's disease (AD) is a neurodegenerative disease with heterogenous pathophysiological changes that develop years before the onset of clinical symptoms. These preclinical changes have generated considerable interest in identifying markers for the pathophysiological mechanisms linked to AD and AD-related disorders (ADRD). On the basis of our prior work integrating cerebrospinal fluid (CSF) and brain proteome networks, we developed a reliable and high-throughput mass spectrometry-selected reaction monitoring assay that targets 48 key proteins altered in CSF. To test the diagnostic utility of these proteins and compare them with existing AD biomarkers, CSF collected at baseline visits was assayed from 706 participants recruited from the Alzheimer's Disease Neuroimaging Initiative. We found that the targeted CSF panel of 48 proteins (CSF 48 panel) performed at least as well as existing AD CSF biomarkers (Aβ42, tTau, and pTau181) for predicting clinical diagnosis, FDG PET, hippocampal volume, and measures of cognitive and dementia severity. In addition, for each of those outcomes, the CSF 48 panel plus the existing AD CSF biomarkers significantly improved diagnostic performance. Furthermore, the CSF 48 panel plus existing AD CSF biomarkers significantly improved predictions for changes in FDG PET, hippocampal volume, and measures of cognitive decline and dementia severity compared with either measure alone. A potential reason for these improvements is that the CSF 48 panel reflects a range of altered biology observed in AD/ADRD. In conclusion, we show that the CSF 48 panel complements existing AD CSF biomarkers to improve diagnosis and predict future cognitive decline and dementia severity.
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Affiliation(s)
- Rafi Haque
- Goizueta Alzheimer’s Disease Research Center, Emory University School of Medicine, Atlanta, GA, USA, 30329
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA, 30329
| | - Caroline M. Watson
- Goizueta Alzheimer’s Disease Research Center, Emory University School of Medicine, Atlanta, GA, USA, 30329
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA, 30329
| | - Jiaqi Liu
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA, 30329
| | - E. Kathleen Carter
- Goizueta Alzheimer’s Disease Research Center, Emory University School of Medicine, Atlanta, GA, USA, 30329
- Department of Biochemistry, Emory University School of Medicine, Atlanta, GA, USA, 30322
| | - Duc M. Duong
- Goizueta Alzheimer’s Disease Research Center, Emory University School of Medicine, Atlanta, GA, USA, 30329
- Department of Biochemistry, Emory University School of Medicine, Atlanta, GA, USA, 30322
| | - James J. Lah
- Goizueta Alzheimer’s Disease Research Center, Emory University School of Medicine, Atlanta, GA, USA, 30329
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA, 30329
| | - Aliza P. Wingo
- Division of Mental Health, Atlanta VA Medical Center, Decatur, GA, USA, 30033
- Department of Psychiatry, Emory University School of Medicine, Atlanta, GA, USA, 30329
| | - Blaine R. Roberts
- Goizueta Alzheimer’s Disease Research Center, Emory University School of Medicine, Atlanta, GA, USA, 30329
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA, 30329
- Department of Biochemistry, Emory University School of Medicine, Atlanta, GA, USA, 30322
| | - Erik C.B. Johnson
- Goizueta Alzheimer’s Disease Research Center, Emory University School of Medicine, Atlanta, GA, USA, 30329
- Department of Biochemistry, Emory University School of Medicine, Atlanta, GA, USA, 30322
| | - Andrew J. Saykin
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA, 46204
| | - Leslie M. Shaw
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA, 19104
- Center for Neurodegenerative Disease Research, University of Pennsylvania, Philadelphia, PA, USA, 19104
| | - Nicholas T. Seyfried
- Goizueta Alzheimer’s Disease Research Center, Emory University School of Medicine, Atlanta, GA, USA, 30329
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA, 30329
- Department of Biochemistry, Emory University School of Medicine, Atlanta, GA, USA, 30322
| | - Thomas S. Wingo
- Goizueta Alzheimer’s Disease Research Center, Emory University School of Medicine, Atlanta, GA, USA, 30329
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA, 30329
- Department of Human Genetics, Emory University School of Medicine, Atlanta, GA, USA, 30322
| | - Allan I. Levey
- Goizueta Alzheimer’s Disease Research Center, Emory University School of Medicine, Atlanta, GA, USA, 30329
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA, 30329
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Rothschadl MJ, Sathyanesan M, Newton SS. Synergism of Carbamoylated Erythropoietin and Insulin-like Growth Factor-1 in Immediate Early Gene Expression. Life (Basel) 2023; 13:1826. [PMID: 37763230 PMCID: PMC10532867 DOI: 10.3390/life13091826] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Revised: 08/23/2023] [Accepted: 08/28/2023] [Indexed: 09/29/2023] Open
Abstract
Trophic factors are secreted proteins that can modulate neuronal integrity, structure, and function. Previous preclinical studies have shown synergistic effects on decreasing apoptosis and improving behavioral performance after stroke when combining two such trophic factors, erythropoietin (EPO) and insulin-like growth factor-1 (IGF-1). However, EPO can elevate the hematocrit level, which can be life-threatening for non-anemic individuals. A chemically engineered derivative of EPO, carbamoylated EPO (CEPO), does not impact hematological parameters but retains neurotrophic effects similar to EPO. To obtain insight into CEPO and IGF-1 combination signaling, we examined immediate early gene (IEG) expression after treatment with CEPO, IGF-1, or CEPO + IGF-1 in rat pheochromocytoma (PC-12) cells and found that combining CEPO and IGF-1 produced a synergistic increase in IEG expression. An in vivo increase in the protein expression of Npas4 and Nptx2 was also observed in the rat hippocampus. We also examined which kinase signaling pathways might be mediating these effects and found that while AKT inhibition did not alter the pattern of IEG expression, both ERK and JAK2 inhibition significantly decreased IEG expression. These results begin to define the molecular effects of combining CEPO and IGF-1 and indicate the potential for these trophic factors to produce positive, synergistic effects.
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Affiliation(s)
| | | | - Samuel S. Newton
- Division of Basic Biomedical Sciences, Sanford School of Medicine, University of South Dakota, Vermillion, SD 57069, USA; (M.J.R.); (M.S.)
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35
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Modeste ES, Ping L, Watson CM, Duong DM, Dammer EB, Johnson ECB, Roberts BR, Lah JJ, Levey AI, Seyfried NT. Quantitative proteomics of cerebrospinal fluid from African Americans and Caucasians reveals shared and divergent changes in Alzheimer's disease. Mol Neurodegener 2023; 18:48. [PMID: 37468915 PMCID: PMC10355042 DOI: 10.1186/s13024-023-00638-z] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Accepted: 06/21/2023] [Indexed: 07/21/2023] Open
Abstract
BACKGROUND Despite being twice as likely to get Alzheimer's disease (AD), African Americans have been grossly underrepresented in AD research. While emerging evidence indicates that African Americans with AD have lower cerebrospinal fluid (CSF) levels of Tau compared to Caucasians, other differences in AD CSF biomarkers have not been fully elucidated. Here, we performed unbiased proteomic profiling of CSF from African Americans and Caucasians with and without AD to identify both common and divergent AD CSF biomarkers. METHODS Multiplex tandem mass tag-based mass spectrometry (TMT-MS) quantified 1,840 proteins from 105 control and 98 AD patients of which 100 identified as Caucasian while 103 identified as African American. We used differential protein expression and co-expression approaches to assess how changes in the CSF proteome are related to race and AD. Co-expression network analysis organized the CSF proteome into 14 modules associated with brain cell-types and biological pathways. A targeted mass spectrometry method, selected reaction monitoring (SRM), with heavy labeled internal standards was used to measure a panel of CSF module proteins across a subset of African Americans and Caucasians with or without AD. A receiver operating characteristic (ROC) curve analysis assessed the performance of each protein biomarker in differentiating controls and AD by race. RESULTS Consistent with previous findings, the increase of Tau levels in AD was greater in Caucasians than in African Americans by both immunoassay and TMT-MS measurements. CSF modules which included 14-3-3 proteins (YWHAZ and YWHAG) demonstrated equivalent disease-related elevations in both African Americans and Caucasians with AD, whereas other modules demonstrated more profound disease changes within race. Modules enriched with proteins involved with glycolysis and neuronal/cytoskeletal proteins, including Tau, were more increased in Caucasians than in African Americans with AD. In contrast, a module enriched with synaptic proteins including VGF, SCG2, and NPTX2 was significantly lower in African Americans than Caucasians with AD. Following SRM and ROC analysis, VGF, SCG2, and NPTX2 were significantly better at classifying African Americans than Caucasians with AD. CONCLUSIONS Our findings provide insight into additional protein biomarkers and pathways reflecting underlying brain pathology that are shared or differ by race.
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Affiliation(s)
- Erica S. Modeste
- School of Medicine, Department of Biochemistry, Emory University, Atlanta, GA USA
| | - Lingyan Ping
- School of Medicine, Department of Biochemistry, Emory University, Atlanta, GA USA
| | - Caroline M. Watson
- School of Medicine, Department of Neurology, Emory University, Atlanta, GA USA
| | - Duc M. Duong
- School of Medicine, Department of Biochemistry, Emory University, Atlanta, GA USA
| | - Eric B. Dammer
- School of Medicine, Department of Biochemistry, Emory University, Atlanta, GA USA
| | - Erik C. B. Johnson
- School of Medicine, Department of Neurology, Emory University, Atlanta, GA USA
| | - Blaine R. Roberts
- School of Medicine, Department of Biochemistry, Emory University, Atlanta, GA USA
| | - James J. Lah
- School of Medicine, Department of Neurology, Emory University, Atlanta, GA USA
| | - Allan I. Levey
- School of Medicine, Department of Neurology, Emory University, Atlanta, GA USA
| | - Nicholas T. Seyfried
- School of Medicine, Department of Biochemistry, Emory University, Atlanta, GA USA
- School of Medicine, Department of Neurology, Emory University, Atlanta, GA USA
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36
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Hu HL, Khatri L, Santacruz M, Church E, Moore C, Huang TT, Chao MV. Confronting the loss of trophic support. Front Mol Neurosci 2023; 16:1179209. [PMID: 37456526 PMCID: PMC10338843 DOI: 10.3389/fnmol.2023.1179209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Accepted: 05/23/2023] [Indexed: 07/18/2023] Open
Abstract
Classic experiments with peripheral sympathetic neurons established an absolute dependence upon NGF for survival. A forgotten problem is how these neurons become resistant to deprivation of trophic factors. The question is whether and how neurons can survive in the absence of trophic support. However, the mechanism is not understood how neurons switch their phenotype to lose their dependence on trophic factors, such as NGF and BDNF. Here, we approach the problem by considering the requirements for trophic support of peripheral sympathetic neurons and hippocampal neurons from the central nervous system. We developed cellular assays to assess trophic factor dependency for sympathetic and hippocampal neurons and identified factors that rescue neurons in the absence of trophic support. They include enhanced expression of a subunit of the NGF receptor (Neurotrophin Receptor Homolog, NRH) in sympathetic neurons and an increase of the expression of the glucocorticoid receptor in hippocampal neurons. The results are significant since levels and activity of trophic factors are responsible for many neuropsychiatric conditions. Resistance of neurons to trophic factor deprivation may be relevant to the underlying basis of longevity, as well as an important element in preventing neurodegeneration.
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Affiliation(s)
- Hui-Lan Hu
- Department of Biochemistry and Molecular Pharmacology, New York University Langone School of Medicine, New York, NY, United States
| | - Latika Khatri
- Skirball Institute for Biomolecular Medicine, Neuroscience Institute, New York University Langone Medical Center, New York, NY, United States
| | - Marilyn Santacruz
- Department of Neuroscience, Pomona College, Claremont, CA, United States
| | - Emily Church
- Department of Neuroscience, Pomona College, Claremont, CA, United States
| | - Christopher Moore
- Skirball Institute for Biomolecular Medicine, Neuroscience Institute, New York University Langone Medical Center, New York, NY, United States
| | - Tony T. Huang
- Department of Biochemistry and Molecular Pharmacology, New York University Langone School of Medicine, New York, NY, United States
| | - Moses V. Chao
- Skirball Institute for Biomolecular Medicine, Neuroscience Institute, New York University Langone Medical Center, New York, NY, United States
- Department of Cell Biology, New York Langone Medical Center, New York, NY, United States
- Department of Psychiatry, New York Langone Medical Center, New York, NY, United States
- Department of Neuroscience and Physiology, New York Langone Medical Center, New York, NY, United States
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37
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Aryal S, Bonanno K, Song B, Mani DR, Keshishian H, Carr SA, Sheng M, Dejanovic B. Deep proteomics identifies shared molecular pathway alterations in synapses of patients with schizophrenia and bipolar disorder and mouse model. Cell Rep 2023; 42:112497. [PMID: 37171958 DOI: 10.1016/j.celrep.2023.112497] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Revised: 03/10/2023] [Accepted: 04/26/2023] [Indexed: 05/14/2023] Open
Abstract
Synaptic dysfunction is implicated in the pathophysiology of schizophrenia (SCZ) and bipolar disorder (BP). We use quantitative mass spectrometry to carry out deep, unbiased proteomic profiling of synapses purified from the dorsolateral prefrontal cortex of 35 cases of SCZ, 35 cases of BP, and 35 controls. Compared with controls, SCZ and BP synapses show substantial and similar proteomic alterations. Network analyses reveal upregulation of proteins associated with autophagy and certain vesicle transport pathways and downregulation of proteins related to synaptic, mitochondrial, and ribosomal function in the synapses of individuals with SCZ or BP. Some of the same pathways are similarly dysregulated in the synaptic proteome of mutant mice deficient in Akap11, a recently discovered shared risk gene for SCZ and BP. Our work provides biological insights into molecular dysfunction at the synapse in SCZ and BP and serves as a resource for understanding the pathophysiology of these disorders.
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Affiliation(s)
- Sameer Aryal
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Kevin Bonanno
- The Proteomics Platform, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Bryan Song
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - D R Mani
- The Proteomics Platform, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Hasmik Keshishian
- The Proteomics Platform, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Steven A Carr
- The Proteomics Platform, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Morgan Sheng
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02142, USA.
| | - Borislav Dejanovic
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
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38
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Chen XQ, Zuo X, Becker A, Head E, Mobley WC. Reduced synaptic proteins and SNARE complexes in Down syndrome with Alzheimer's disease and the Dp16 mouse Down syndrome model: Impact of APP gene dose. Alzheimers Dement 2023; 19:2095-2116. [PMID: 36370135 PMCID: PMC10175517 DOI: 10.1002/alz.12835] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Revised: 08/22/2022] [Accepted: 09/13/2022] [Indexed: 11/15/2022]
Abstract
INTRODUCTION Synaptic failure, a hallmark of Alzheimer's disease (AD), is correlated with reduced levels of synaptic proteins. Though people with Down syndrome (DS) are at markedly increased risk for AD (AD-DS), few studies have addressed synapse dysfunction. METHODS Synaptic proteins were measured in the frontal cortex of DS, AD-DS, sporadic AD cases, and controls. The same proteins were examined in the Dp16 model of DS. RESULTS A common subset of synaptic proteins were reduced in AD and AD-DS, but not in DS or a case of partial trisomy 21 lacking triplication of APP gene. Pointing to compromised synaptic function, the reductions in AD and AD-DS were correlated with reduced SNARE complexes. In Dp16 mice reductions in syntaxin 1A, SNAP25 and the SNARE complex recapitulated findings in AD-DS; reductions were impacted by both age and increased App gene dose. DISCUSSION Synaptic phenotypes shared between AD-DS and AD point to shared pathogenetic mechanisms.
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Affiliation(s)
- Xu-Qiao Chen
- Department of Neurosciences, University of California San Diego, La Jolla, CA 92093, USA
| | - Xinxin Zuo
- Department of Neurosciences, University of California San Diego, La Jolla, CA 92093, USA
| | - Ann Becker
- Department of Neurosciences, University of California San Diego, La Jolla, CA 92093, USA
| | - Elizabeth Head
- Department of Pathology & Laboratory Medicine, University of California Irvine, Irvine, CA 92697, USA
| | - William C Mobley
- Department of Neurosciences, University of California San Diego, La Jolla, CA 92093, USA
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39
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Oh S, Jang Y, Na CH. Discovery of Biomarkers for Amyotrophic Lateral Sclerosis from Human Cerebrospinal Fluid Using Mass-Spectrometry-Based Proteomics. Biomedicines 2023; 11:biomedicines11051250. [PMID: 37238921 DOI: 10.3390/biomedicines11051250] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Revised: 04/11/2023] [Accepted: 04/18/2023] [Indexed: 05/28/2023] Open
Abstract
Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease characterized by the loss of upper and lower motor neurons, which eventually may lead to death. Critical to the mission of developing effective therapies for ALS is the discovery of biomarkers that can illuminate mechanisms of neurodegeneration and have diagnostic, prognostic, or pharmacodynamic value. Here, we merged unbiased discovery-based approaches and targeted quantitative comparative analyses to identify proteins that are altered in cerebrospinal fluid (CSF) from patients with ALS. Mass spectrometry (MS)-based proteomic approaches employing tandem mass tag (TMT) quantification methods from 40 CSF samples comprising 20 patients with ALS and 20 healthy control (HC) individuals identified 53 proteins that are differential between the two groups after CSF fractionation. Notably, these proteins included both previously identified ones, validating our approach, and novel ones that have the potential for expanding biomarker repertoire. The identified proteins were subsequently examined using parallel reaction monitoring (PRM) MS methods on 61 unfractionated CSF samples comprising 30 patients with ALS and 31 HC individuals. Fifteen proteins (APOB, APP, CAMK2A, CHI3L1, CHIT1, CLSTN3, ERAP2, FSTL4, GPNMB, JCHAIN, L1CAM, NPTX2, SERPINA1, SERPINA3, and UCHL1) showed significant differences between ALS and the control. Taken together, this study identified multiple novel proteins that are altered in ALS, providing the foundation for developing new biomarkers for ALS.
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Affiliation(s)
- Sungtaek Oh
- Department of Neurology, Institute for Cell Engineering, Johns Hopkins University School of Medicine, 733 N. Broadway, Baltimore, MD 21205, USA
- Adrienne Helis Malvin Medical Research Foundation, New Orleans, LA 70170, USA
| | - Yura Jang
- Department of Neurology, Institute for Cell Engineering, Johns Hopkins University School of Medicine, 733 N. Broadway, Baltimore, MD 21205, USA
| | - Chan Hyun Na
- Department of Neurology, Institute for Cell Engineering, Johns Hopkins University School of Medicine, 733 N. Broadway, Baltimore, MD 21205, USA
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40
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Nugent M, St Pierre M, Brown A, Nassar S, Parmar P, Kitase Y, Duck SA, Pinto C, Jantzie L, Fung C, Chavez-Valdez R. Sexual Dimorphism in the Closure of the Hippocampal Postnatal Critical Period of Synaptic Plasticity after Intrauterine Growth Restriction: Link to Oligodendrocyte and Glial Dysregulation. Dev Neurosci 2023; 45:234-254. [PMID: 37019088 DOI: 10.1159/000530451] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Accepted: 03/20/2023] [Indexed: 04/07/2023] Open
Abstract
Intrauterine growth restriction (IUGR) resulting from hypertensive disease of pregnancy (HDP) leads to sexually dimorphic hippocampal-dependent cognitive and memory impairment in humans. In our translationally relevant mouse model of IUGR incited by HDP, we have previously shown that the synaptic development in the dorsal hippocampus including GABAergic development, NPTX2+ excitatory synaptic formation, axonal myelination, and perineural net (PNN) formation were perturbed by IUGR at adolescent equivalence in humans (P40). The persistence of these disturbances through early adulthood and the potential upstream mechanisms are currently unknown. Thus, we hypothesized that NPTX2+ expression, PNN formation, axonal myelination, all events closing synaptic development in the hippocampus, will be persistently perturbed, particularly affecting IUGR female mice through P60 given the fact that they had worse short-term recognition memory in this model. We additionally hypothesized that such sexual dimorphism is linked to persistent glial dysregulation. We induced IUGR by a micro-osmotic pump infusion of a potent vasoconstrictor U-46619, a thromboxane A2-analog, in the last week of the C57BL/6 mouse gestation to precipitate HDP. Sham-operated mice were used as controls. At P60, we assessed hippocampal and hemispheric volumes, NPTX2 expression, PNN formation, as well as myelin basic protein (MBP), Olig2, APC/CC1, and M-NF expression. We also evaluated P60 astrocytic (GFAP) reactivity and microglial (Iba1 and TMEM119) activation using immunofluorescent-immunohistochemistry and Imaris morphological analysis plus cytokine profiling using Meso Scale Discovery platform. IUGR offspring continued to have smaller hippocampal volumes at P60 not related to changes in hemisphere volume. NPTX2+ puncta counts and volumes were decreased in IUGR hippocampal CA subregions of female mice compared to sex-matched shams. Intriguingly, NPTX2+ counts and volumes were concurrently increased in the dentate gyrus (DG) subregion. PNN volumes were smaller in CA1 and CA3 of IUGR female mice along with PNN intensity in CA3 but they had larger volumes in the CA3 of IUGR male mice. The myelinated axon (MBP+) areas, volumes, and lengths were all decreased in the CA1 of IUGR female mice compared to sex-matched shams, which correlated with a decrease in Olig2 nuclear expression. No decrease in the number of APC/CC1+ mature oligodendrocytes was identified. We noted an increase in M-NF expression in the mossy fibers connecting DG to CA3 only in IUGR female mice. Reactive astrocytes denoted by GFAP areas, volumes, lengths, and numbers of branching were increased in IUGR female CA1 but not in IUGR male CA3 compared to sex-matched shams. Lastly, activated microglia were only detected in IUGR female CA1 and CA3 subregions. We detected no difference in the cytokine profile between sham and IUGR adult mice of either sex. Collectively, our data support a sexually dimorphic impaired closure of postnatal critical period of synaptic plasticity in the hippocampus of young adult IUGR mice with greater effects on females. A potential mechanism supporting such dimorphism may include oligodendrocyte dysfunction in IUGR females limiting myelination, allowing axonal overgrowth followed by a reactive glial-mediated synaptic pruning.
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Affiliation(s)
- Michael Nugent
- Division of Neonatal-Perinatal Medicine, Department of Pediatrics, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Mark St Pierre
- Division of Neonatal-Perinatal Medicine, Department of Pediatrics, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Ashley Brown
- Division of Neonatology, Department of Pediatrics, University of Utah, Salt Lake City, Utah, USA
| | - Salma Nassar
- Department of Neurosciences, Johns Hopkins University Krieger School of Arts and Sciences, Baltimore, Maryland, USA
| | - Pritika Parmar
- Department of Neurosciences, Johns Hopkins University Krieger School of Arts and Sciences, Baltimore, Maryland, USA
| | - Yuma Kitase
- Division of Neonatal-Perinatal Medicine, Department of Pediatrics, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Sarah Ann Duck
- Department of Molecular and Cellular Biology, Johns Hopkins University Krieger School of Arts and Sciences, Baltimore, Maryland, USA
| | - Charles Pinto
- Department of Human Biology, University of Toronto, Toronto, Ontario, Canada
| | - Lauren Jantzie
- Division of Neonatal-Perinatal Medicine, Department of Pediatrics, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Camille Fung
- Division of Neonatology, Department of Pediatrics, University of Utah, Salt Lake City, Utah, USA
| | - Raul Chavez-Valdez
- Division of Neonatal-Perinatal Medicine, Department of Pediatrics, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
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Ahmadi K, Pereira JB, Berron D, Vogel J, Ingala S, Strandberg OT, Janelidze S, Barkhof F, Pfeuffer J, Knutsson L, van Westen D, Palmqvist S, Mutsaerts HJ, Hansson O. Gray matter hypoperfusion is a late pathological event in the course of Alzheimer's disease. J Cereb Blood Flow Metab 2023; 43:565-580. [PMID: 36412244 PMCID: PMC10063832 DOI: 10.1177/0271678x221141139] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Several studies have shown decreased cerebral blood flow (CBF) in Alzheimer's disease (AD). However, the role of hypoperfusion in the disease pathogenesis remains unclear. Combining arterial spin labeling MRI, PET, and CSF biomarkers, we investigated the associations between gray matter (GM)-CBF and the key mechanisms in AD including amyloid-β (Aβ) and tau pathology, synaptic and axonal degeneration. Further, we applied a disease progression modeling to characterize the temporal sequence of different AD biomarkers. Lower perfusion was observed in temporo-occipito-parietal cortex in the Aβ-positive cognitively impaired compared to both Aβ-negative and Aβ-positive cognitively unimpaired individuals. In participants along the AD spectrum, GM-CBF was associated with tau, synaptic and axonal dysfunction, but not Aβ in similar cortical regions. Axonal degeneration was further associated with hypoperfusion in cognitively unimpaired individuals. Disease progression modeling revealed that GM-CBF disruption Followed the abnormality of biomarkers of Aβ, tau and brain atrophy. These findings indicate that tau tangles and neurodegeneration are more closely connected with GM-CBF changes than Aβ pathology. Although subjected to the sensitivity of the employed neuroimaging techniques and the modeling approach, these findings suggest that hypoperfusion might not be an early event associated with the build-up of Aβ in preclinical phase of AD.
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Affiliation(s)
- Khazar Ahmadi
- Clinical Memory Research Unit, Department of Clinical Sciences, Lund University, Lund, Sweden.,Institute of Cognitive Neuroscience, Faculty of Psychology, Ruhr University Bochum, Bochum, Germany
| | - Joana B Pereira
- Clinical Memory Research Unit, Department of Clinical Sciences, Lund University, Lund, Sweden.,Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institute, Stockholm, Sweden
| | - David Berron
- Clinical Memory Research Unit, Department of Clinical Sciences, Lund University, Lund, Sweden
| | - Jacob Vogel
- Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Silvia Ingala
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Location VUmc, Amsterdam Neuroscience, Amsterdam, the Netherlands
| | - Olof T Strandberg
- Clinical Memory Research Unit, Department of Clinical Sciences, Lund University, Lund, Sweden
| | - Shorena Janelidze
- Clinical Memory Research Unit, Department of Clinical Sciences, Lund University, Lund, Sweden
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Location VUmc, Amsterdam Neuroscience, Amsterdam, the Netherlands.,Queen's Square Institute of Neurology and Centre for Medical Image Computing, University College London, London, UK
| | - Josef Pfeuffer
- Application Development, Siemens Healthcare, Erlangen, Germany
| | - Linda Knutsson
- Department of Medical Radiation Physics, Lund University, Lund, Sweden.,The Russell H. Morgan Department of Radiology and Radiological Science, Division of MR Research, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Danielle van Westen
- Clinical Memory Research Unit, Department of Clinical Sciences, Lund University, Lund, Sweden.,Diagnostic Radiology, Lund University, Lund, Sweden
| | - Sebastian Palmqvist
- Clinical Memory Research Unit, Department of Clinical Sciences, Lund University, Lund, Sweden.,Department of Neurology, Skåne University Hospital, Lund, Sweden
| | - Henk Jmm Mutsaerts
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Location VUmc, Amsterdam Neuroscience, Amsterdam, the Netherlands.,Queen's Square Institute of Neurology and Centre for Medical Image Computing, University College London, London, UK
| | - Oskar Hansson
- Clinical Memory Research Unit, Department of Clinical Sciences, Lund University, Lund, Sweden.,Memory Clinic, Skåne University Hospital, Malmö, Sweden
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42
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Zhou J, Wade SD, Graykowski D, Xiao MF, Zhao B, Giannini LAA, Hanson JE, van Swieten JC, Sheng M, Worley PF, Dejanovic B. The neuronal pentraxin Nptx2 regulates complement activity and restrains microglia-mediated synapse loss in neurodegeneration. Sci Transl Med 2023; 15:eadf0141. [PMID: 36989373 PMCID: PMC10467038 DOI: 10.1126/scitranslmed.adf0141] [Citation(s) in RCA: 31] [Impact Index Per Article: 31.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Accepted: 02/28/2023] [Indexed: 03/31/2023]
Abstract
Complement overactivation mediates microglial synapse elimination in neurological diseases such as Alzheimer's disease (AD) and frontotemporal dementia (FTD), but how complement activity is regulated in the brain remains largely unknown. We identified that the secreted neuronal pentraxin Nptx2 binds complement C1q and thereby regulates its activity in the brain. Nptx2-deficient mice show increased complement activity, C1q-dependent microglial synapse engulfment, and loss of excitatory synapses. In a neuroinflammation culture model and in aged TauP301S mice, adeno-associated virus (AAV)-mediated neuronal overexpression of Nptx2 was sufficient to restrain complement activity and ameliorate microglia-mediated synapse loss. Analysis of human cerebrospinal fluid (CSF) samples from a genetic FTD cohort revealed reduced concentrations of Nptx2 and Nptx2-C1q protein complexes in symptomatic patients, which correlated with elevated C1q and activated C3. Together, these results show that Nptx2 regulates complement activity and microglial synapse elimination in the brain and that diminished Nptx2 concentrations might exacerbate complement-mediated neurodegeneration in patients with FTD.
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Affiliation(s)
- Jiechao Zhou
- Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, 21205, USA
| | - Sarah D. Wade
- Broad Institute of MIT and Harvard, Cambridge, 02142, USA
| | | | - Mei-Fang Xiao
- Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, 21205, USA
| | - Binhui Zhao
- Broad Institute of MIT and Harvard, Cambridge, 02142, USA
| | - Lucia A. A. Giannini
- Alzheimer Center, Department of Neurology, Erasmus University Medical Center, Rotterdam, 3015 GD, Netherlands
| | | | - John C. van Swieten
- Alzheimer Center, Department of Neurology, Erasmus University Medical Center, Rotterdam, 3015 GD, Netherlands
| | - Morgan Sheng
- Broad Institute of MIT and Harvard, Cambridge, 02142, USA
| | - Paul F. Worley
- Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, 21205, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, 21205, USA
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Fung CM. Effects of intrauterine growth restriction on embryonic hippocampal dentate gyrus neurogenesis and postnatal critical period of synaptic plasticity that govern learning and memory function. Front Neurosci 2023; 17:1092357. [PMID: 37008232 PMCID: PMC10064986 DOI: 10.3389/fnins.2023.1092357] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Accepted: 02/28/2023] [Indexed: 03/18/2023] Open
Abstract
Intrauterine growth restriction (IUGR) complicates up to 10% of human pregnancies and is the second leading cause of perinatal morbidity and mortality after prematurity. The most common etiology of IUGR in developed countries is uteroplacental insufficiency (UPI). For survivors of IUGR pregnancies, long-term studies consistently show a fivefold increased risk for impaired cognition including learning and memory deficits. Among these, only a few human studies have highlighted sex differences with males and females having differing susceptibilities to different impairments. Moreover, it is well established from brain magnetic resonance imaging that IUGR affects both white and gray matter. The hippocampus, composed of the dentate gyrus (DG) and cornu ammonis (CA) subregions, is an important gray matter structure critical to learning and memory, and is particularly vulnerable to the chronic hypoxic-ischemic effects of UPI. Decreased hippocampal volume is a strong predictor for learning and memory deficits. Decreased neuron number and attenuated dendritic and axonal morphologies in both the DG and CA are additionally seen in animal models. What is largely unexplored is the prenatal changes that predispose an IUGR offspring to postnatal learning and memory deficits. This lack of knowledge will continue to hinder the design of future therapy to improve learning and memory. In this review, we will first present the clinical susceptibilities and human epidemiology data regarding the neurological sequelae after IUGR. We will follow with data generated using our laboratory’s mouse model of IUGR, that mimics the human IUGR phenotype, to dissect at the cellular and molecular alterations in embryonic hippocampal DG neurogenesis. We will lastly present a newer topic of postnatal neuron development, namely the critical period of synaptic plasticity that is crucial in achieving an excitatory/inhibitory balance in the developing brain. To our knowledge, these findings are the first to describe the prenatal changes that lead to an alteration in postnatal hippocampal excitatory/inhibitory imbalance, a mechanism that is now recognized to be a cause of neurocognitive/neuropsychiatric disorders in at-risk individuals. Studies are ongoing in our laboratory to elucidate additional mechanisms that underlie IUGR-induced learning and memory impairment and to design therapy aimed at ameliorating such impairment.
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44
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Behzad M, Zirak N, Madani GH, Baidoo L, Rezaei A, Karbasi S, Sadeghi M, Shafie M, Mayeli M, Alzheimer's Disease Neuroimaging Initiative. CSF-Targeted Proteomics Indicate Amyloid-Beta Ratios in Patients with Alzheimer's Dementia Spectrum. Int J Alzheimers Dis 2023; 2023:5336273. [PMID: 36793451 PMCID: PMC9925239 DOI: 10.1155/2023/5336273] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2022] [Revised: 12/01/2022] [Accepted: 12/07/2022] [Indexed: 02/08/2023] Open
Abstract
Background According to recent studies, amyloid-β (Aβ) isoforms as cerebrospinal fluid (CSF) biomarkers have remarkable predictive value for cognitive decline in the early stages of Alzheimer's disease (AD). Herein, we aimed to investigate the correlations between several targeted proteomics in CSF samples with Aβ ratios and cognitive scores in patients in AD spectrum to search for potential early diagnostic utility. Methods A total of 719 participants were found eligible for inclusion. Patients were then categorized into cognitively normal (CN), mild cognitive impairment (MCI), and AD and underwent an assessment of Aβ and proteomics. Clinical Dementia Rating (CDR), Alzheimer's Disease Assessment Scale (ADAS), and Mini Mental State Exam (MMSE) were used for further cognitive assessment. The Aβ42, Aβ42/Aβ40, and Aβ42/38 ratios were considered as means of comparison to identify those peptides corresponding significantly to these established biomarkers and cognitive scores. The diagnostic utility of the IASNTQSR, VAELEDEK, VVSSIEQK, GDSVVYGLR, EPVAGDAVPGPK, and QETLPSK was assessed. Results All investigated peptides corresponded significantly to Aβ42 in controls. In those with MCI, VAELEDEK and EPVAGDAVPGPK were significantly correlated with Aβ42 (p value < 0.001). Additionally, IASNTQSR, VVSSIEQK, GDSVVYGLR, and QETLPSK were significantly correlated with Aβ42/Aβ40 and Aβ42/38 (p value < 0.001) in this group. This group of peptides similarly corresponded to Aβ ratios in those with AD. Eventually, IASNTQSR, VAELEDEK, and VVSSIEQK were significantly associated with CDR, ADAS-11, and ADAS-13, particularly in MCI group. Conclusion Our research suggests potential early diagnostic and prognostic utilities for certain peptides extracted from CSF-targeted proteomics research. The ethical approval of ADNI is available at ClinicalTrials.gov with Identifier: NCT00106899.
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Affiliation(s)
- Maryam Behzad
- NeuroTRACT Association, Students' Scientific Research Center, Tehran University of Medical Sciences, Tehran, Iran
- Department of Chemistery, University of Tehran, Iran
| | - Negin Zirak
- NeuroTRACT Association, Students' Scientific Research Center, Tehran University of Medical Sciences, Tehran, Iran
- Department of Educational Science and Psychology, University of Tabriz, Tabriz, Iran
| | - Ghazal Hamidi Madani
- NeuroTRACT Association, Students' Scientific Research Center, Tehran University of Medical Sciences, Tehran, Iran
- Department of Biology, Faculty of Sciences, University of Guilan, Iran
| | - Linda Baidoo
- NeuroTRACT Association, Students' Scientific Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Ali Rezaei
- NeuroTRACT Association, Students' Scientific Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Shima Karbasi
- NeuroTRACT Association, Students' Scientific Research Center, Tehran University of Medical Sciences, Tehran, Iran
- Department of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Mohammad Sadeghi
- NeuroTRACT Association, Students' Scientific Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Mahan Shafie
- NeuroTRACT Association, Students' Scientific Research Center, Tehran University of Medical Sciences, Tehran, Iran
- School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Mahsa Mayeli
- NeuroTRACT Association, Students' Scientific Research Center, Tehran University of Medical Sciences, Tehran, Iran
- School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
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45
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Nilsson J, Constantinescu J, Nellgård B, Jakobsson P, Brum WS, Gobom J, Forsgren L, Dalla K, Constantinescu R, Zetterberg H, Hansson O, Blennow K, Bäckström D, Brinkmalm A. Cerebrospinal Fluid Biomarkers of Synaptic Dysfunction are Altered in Parkinson's Disease and Related Disorders. Mov Disord 2023; 38:267-277. [PMID: 36504237 DOI: 10.1002/mds.29287] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Revised: 11/08/2022] [Accepted: 11/10/2022] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Synaptic dysfunction and degeneration are central contributors to the pathogenesis and progression of parkinsonian disorders. Therefore, identification and validation of biomarkers reflecting pathological synaptic alterations are greatly needed and could be used in prognostic assessment and to monitor treatment effects. OBJECTIVE To explore candidate biomarkers of synaptic dysfunction in Parkinson's disease (PD) and related disorders. METHODS Mass spectrometry was used to quantify 15 synaptic proteins in two clinical cerebrospinal fluid (CSF) cohorts, including PD (n1 = 51, n2 = 101), corticobasal degeneration (CBD) (n1 = 11, n2 = 3), progressive supranuclear palsy (PSP) (n1 = 22, n2 = 21), multiple system atrophy (MSA) (n1 = 31, n2 = 26), and healthy control (HC) (n1 = 48, n2 = 30) participants, as well as Alzheimer's disease (AD) (n2 = 23) patients in the second cohort. RESULTS Across both cohorts, lower levels of the neuronal pentraxins (NPTX; 1, 2, and receptor) were found in PD, MSA, and PSP, compared with HC. In MSA and PSP, lower neurogranin, AP2B1, and complexin-2 levels compared with HC were observed. In AD, levels of 14-3-3 zeta/delta, beta- and gamma-synuclein were higher compared with the parkinsonian disorders. Lower pentraxin levels in PD correlated with Mini-Mental State Exam scores and specific cognitive deficits (NPTX2; rho = 0.25-0.32, P < 0.05) and reduced dopaminergic pre-synaptic integrity as measured by DaTSCAN (NPTX2; rho = 0.29, P = 0.023). Additionally, lower levels were associated with the progression of postural imbalance and gait difficulty symptoms (All NPTX; β-estimate = -0.025 to -0.038, P < 0.05) and cognitive decline (NPTX2; β-estimate = 0.32, P = 0.021). CONCLUSIONS These novel findings show different alterations of synaptic proteins in parkinsonian disorders compared with AD and HC. The neuronal pentraxins may serve as prognostic CSF biomarkers for both cognitive and motor symptom progression in PD. © 2022 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Johanna Nilsson
- Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Julius Constantinescu
- Department of Neurology, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
| | - Bengt Nellgård
- Department of Anesthesiology and Intensive Care, Institute of Clinical Sciences, Sahlgrenska Academy, Gothenburg University, Gothenburg, Sweden
| | - Protik Jakobsson
- Department of Clinical Science, Neurosciences, Umeå University, Umeå, Sweden
| | - Wagner S Brum
- Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Graduate Program in Biological Sciences: Biochemistry, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil
| | - Johan Gobom
- Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Lars Forsgren
- Department of Clinical Science, Neurosciences, Umeå University, Umeå, Sweden
| | - Keti Dalla
- Department of Anesthesiology and Intensive Care, Institute of Clinical Sciences, Sahlgrenska Academy, Gothenburg University, Gothenburg, Sweden
| | - Radu Constantinescu
- Department of Neurology, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
| | - Henrik Zetterberg
- Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden.,UK Dementia Research Institute at UCL, London, United Kingdom.,Department of Neurodegenerative Disease, UCL Institute of Neurology, London, United Kingdom.,Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China
| | - Oskar Hansson
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden.,Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - Kaj Blennow
- Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - David Bäckström
- Department of Clinical Science, Neurosciences, Umeå University, Umeå, Sweden
| | - Ann Brinkmalm
- Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
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Warpechowski M, Warpechowski J, Kulczyńska-Przybik A, Mroczko B. Biomarkers of Activity-Dependent Plasticity and Persistent Enhancement of Synaptic Transmission in Alzheimer Disease: A Review of the Current Status. Med Sci Monit 2023; 29:e938826. [PMID: 36600577 PMCID: PMC9832729 DOI: 10.12659/msm.938826] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Alzheimer disease (AD) is a chronic and heterogeneous neurodegenerative disorder characterized by complex pathological processes involving neuroinflammation, neurodegeneration, and synaptic dysfunction. Understanding the exact neurobiological mechanisms underlying AD pathology may help to provide a biomarker for early diagnosis or at least for assessment of vulnerability to dementia development. Neural plasticity is defined as a capability of the brain to respond to alterations including aging, injury, or learning, with a crucial role of synaptic elements. Long-term potentiation (LTP) and long-term depression (LTD) are important in regulating synaptic connections between neural cells in functional plasticity. Synaptic loss and impairment of the brain's plasticity in AD leads to cognitive impairment, and one of important roles of synaptic biomarkers is monitoring synaptic dysfunction, response to treatment, and predicting future development of AD. Synaptic biomarkers are undoubtedly very promising in developing novel approach to AD treatment and control, especially in the era of aging of societies, which is one of the most common risk factor of AD. Implementing a widespread measurement of synaptic biomarkers of AD will probably be crucial in early diagnosis of AD, early therapeutic intervention, monitoring progression of the disease, or response to treatment. One of the most important challenges is finding a biomarker whose blood concentration correlates with its level in the central nervous system (CNS). This review aims to present the current status of biomarkers of activity-dependent plasticity and persistent enhancement of synaptic transmission in Alzheimer disease.
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Affiliation(s)
- Marcin Warpechowski
- Department of Statistics and Medical Informatics, Medical University of Białystok, Białystok, Poland
| | | | | | - Barbara Mroczko
- Department of Neurodegeneration Diagnostics, Medical University of Białystok, Białystok, Poland,Department of Biochemical Diagnostics, University Hospital of Białystok, Białystok, Poland
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47
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Llano DA, Devanarayan P, Devanarayan V. CSF peptides from VGF and other markers enhance prediction of MCI to AD progression using the ATN framework. Neurobiol Aging 2023; 121:15-27. [PMID: 36368195 DOI: 10.1016/j.neurobiolaging.2022.07.015] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2022] [Revised: 07/15/2022] [Accepted: 07/23/2022] [Indexed: 12/14/2022]
Abstract
The amyloid beta, tau, neurodegenerative markers framework has been proposed to serve as a system to classify and combine biomarkers for Alzheimer's Disease (AD). Although cerebrospinal (CSF) fluid AT (amyloid beta and tau)-based biomarkers have a well-established track record to distinguish AD from control subjects and to predict conversion from mild cognitive impairment (MCI) to AD, there is not an established non-tau based neurodegenerative ("N") marker from CSF. Here, we examine the ability of several candidate peptides in the CSF to serve as "N" markers to both classify disease state and predict MCI to AD conversion. We observed that although many putative N markers involved in synaptic processing and neuroinflammation were able to, when examined in isolation, distinguish MCI converters from non-converters, a derivative from VGF, when combined with AT markers, most strongly enhanced prediction of MCI to AD conversion. Low CSF VGF levels were also predictive of MCI to dementia conversion in the setting of normal AT markers, suggesting that it may serve as a very early predictor of dementia conversion. Other markers derived from neuronal pentraxin 2, GAP-43 and a 14-3-3 protein were also able to enhance MCI to AD prediction when used as a marker of neurodegeneration, but VGF had the highest predictive capacity. Thus, we propose that low levels of VGF in CSF may serve as "N" in the amyloid beta, tau, neurodegenerative markers framework to enhance the prediction of MCI to AD conversion.
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Affiliation(s)
- Daniel A Llano
- Department of Biomedical and Translational Sciences, Carle Illinois College of Medicine, Urbana, IL, USA; Department of Molecular and Integrative Physiology, University of Illinois Urbana-Champaign, Urbana, IL, USA; Beckman Institute for Advanced Science and Technology, Urbana, IL, USA; Carle Neuroscience Institute, Urbana, IL, USA.
| | - Priya Devanarayan
- Department of Biology and Schreyer Honors College, Pennsylvania State University, University Park, PA, USA
| | - Viswanath Devanarayan
- Eisai, Inc., Nutley, NJ, USA; Department of Mathematics, Statistics and Computer Science, University of Illinois at Chicago, Chicago, IL, USA
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48
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Connolly K, Lehoux M, O’Rourke R, Assetta B, Erdemir GA, Elias JA, Lee CG, Huang YWA. Potential role of chitinase-3-like protein 1 (CHI3L1/YKL-40) in neurodegeneration and Alzheimer's disease. Alzheimers Dement 2023; 19:9-24. [PMID: 35234337 PMCID: PMC9437141 DOI: 10.1002/alz.12612] [Citation(s) in RCA: 25] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Revised: 01/05/2022] [Accepted: 01/07/2022] [Indexed: 01/18/2023]
Abstract
Chitinase-3-like protein 1 (CHI3L1/YKL-40) has long been known as a biomarker for early detection of neuroinflammation and disease diagnosis of Alzheimer's disease (AD). In the brain, CHI3L1 is primarily provided by astrocytes and heralds the reactive, neurotoxic state triggered by inflammation and other stress signals. However, how CHI3L1 acts in neuroinflammation or how it contributes to AD and relevant neurodegenerative conditions remains unknown. In peripheral tissues, our group and others have uncovered that CHI3L1 is a master regulator for a wide range of injury and repair events, including the innate immunity pathway that resembles the neuroinflammation process governed by microglia and astrocytes. Based on assessment of current knowledge regarding CHI3L1 biology, we hypothesize that CHI3L1 functions as a signaling molecule mediating distinct neuroinflammatory responses in brain cells and misfunctions to precipitate neurodegeneration. We also recommend future research directions to validate such assertions for better understanding of disease mechanisms.
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Affiliation(s)
- Kevin Connolly
- Department of Molecular Biology, Cell Biology and Biochemistry, Brown University,Graduate Program in Molecular Biology, Cell Biology, and Biochemistry, Brown University
| | - Mikael Lehoux
- Department of Molecular Biology, Cell Biology and Biochemistry, Brown University
| | - Ryan O’Rourke
- Department of Molecular Biology, Cell Biology and Biochemistry, Brown University,Graduate Program in Pathobiology, Brown University
| | - Benedetta Assetta
- Department of Molecular Biology, Cell Biology and Biochemistry, Brown University
| | - Guzide Ayse Erdemir
- Department of Molecular Biology, Cell Biology and Biochemistry, Brown University
| | - Jack A Elias
- Department of Molecular Biology, Cell Biology and Biochemistry, Brown University,Department of Molecular Microbiology and Immunology, Brown University
| | - Chun Geun Lee
- Department of Molecular Microbiology and Immunology, Brown University
| | - Yu-Wen Alvin Huang
- Department of Molecular Biology, Cell Biology and Biochemistry, Brown University,Department of Neurology, Warren Alpert Medical School of Brown University,Center for Translational Neuroscience, Robert J. and Nancy D. Carney Institute for Brain Science and Brown Institute for Translational Science, Brown University
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49
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Tzioras M, McGeachan RI, Durrant CS, Spires-Jones TL. Synaptic degeneration in Alzheimer disease. Nat Rev Neurol 2023; 19:19-38. [PMID: 36513730 DOI: 10.1038/s41582-022-00749-z] [Citation(s) in RCA: 90] [Impact Index Per Article: 90.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/04/2022] [Indexed: 12/15/2022]
Abstract
Alzheimer disease (AD) is characterized by progressive cognitive decline in older individuals accompanied by the presence of two pathological protein aggregates - amyloid-β and phosphorylated tau - in the brain. The disease results in brain atrophy caused by neuronal loss and synapse degeneration. Synaptic loss strongly correlates with cognitive decline in both humans and animal models of AD. Indeed, evidence suggests that soluble forms of amyloid-β and tau can cause synaptotoxicity and spread through neural circuits. These pathological changes are accompanied by an altered phenotype in the glial cells of the brain - one hypothesis is that glia excessively ingest synapses and modulate the trans-synaptic spread of pathology. To date, effective therapies for the treatment or prevention of AD are lacking, but understanding how synaptic degeneration occurs will be essential for the development of new interventions. Here, we highlight the mechanisms through which synapses degenerate in the AD brain, and discuss key questions that still need to be answered. We also cover the ways in which our understanding of the mechanisms of synaptic degeneration is leading to new therapeutic approaches for AD.
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Affiliation(s)
- Makis Tzioras
- Centre for Discovery Brain Sciences, The University of Edinburgh, Edinburgh, UK.,UK Dementia Research Institute, The University of Edinburgh, Edinburgh, UK
| | - Robert I McGeachan
- Centre for Discovery Brain Sciences, The University of Edinburgh, Edinburgh, UK.,UK Dementia Research Institute, The University of Edinburgh, Edinburgh, UK.,The Hospital for Small Animals, Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Edinburgh, UK
| | - Claire S Durrant
- Centre for Discovery Brain Sciences, The University of Edinburgh, Edinburgh, UK.,UK Dementia Research Institute, The University of Edinburgh, Edinburgh, UK
| | - Tara L Spires-Jones
- Centre for Discovery Brain Sciences, The University of Edinburgh, Edinburgh, UK. .,UK Dementia Research Institute, The University of Edinburgh, Edinburgh, UK.
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50
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Gómez de San José N, Goossens J, Al Shweiki MR, Halbgebauer S, Oeckl P, Steinacker P, Danzer KM, Graf H, Schönfeldt-Lecuona C, Belbin O, Lleó A, Vanmechelen E, Otto M. Glutamate receptor 4 as a fluid biomarker for the diagnosis of psychiatric disorders. J Psychiatr Res 2022; 156:390-397. [PMID: 36323141 DOI: 10.1016/j.jpsychires.2022.10.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Revised: 09/02/2022] [Accepted: 10/03/2022] [Indexed: 11/06/2022]
Abstract
Psychiatric disorders are widely underreported diseases, especially in their early stages. So far, there is no fluid biomarker to confirm the diagnosis of these disorders. Proteomics data suggest the synaptic protein glutamate receptor 4 (GluR4), part of the AMPA receptor, as a potential diagnostic biomarker of major depressive disorder (MDD). A novel sandwich ELISA was established and analytically validated to detect GluR4 in cerebrospinal fluid (CSF) samples. A total of 85 subjects diagnosed with MDD (n = 36), bipolar disorder (BD, n = 12), schizophrenia (SCZ, n = 12) and neurological controls (CON, n = 25) were analysed. The data exhibited a significant correlation (r = 0.74; CI:0.62 to 0.82; p < 0.0001) with the antibody-free multiple reaction monitoring (MRM) mass spectrometry (MS) data. CSF GluR4 levels were lower in MDD (p < 0.002) and BD (p = 0.012) than in CON. Moreover, subjects with SCZ described a trend towards lower levels than CON (p = 0.13). The novel GluR4 ELISA may favour the clinical application of this protein as a potential diagnostic biomarker of psychiatric disorders and may facilitate the understanding of the pathophysiological mechanisms behind these disorders.
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Affiliation(s)
| | | | | | - Steffen Halbgebauer
- Department of Neurology, University of Ulm, 89075, Ulm, Germany; German Center for Neurodegenerative Diseases (DZNE E.V.), Ulm, Germany.
| | - Patrick Oeckl
- Department of Neurology, University of Ulm, 89075, Ulm, Germany; German Center for Neurodegenerative Diseases (DZNE E.V.), Ulm, Germany.
| | - Petra Steinacker
- Department of Neurology, Martin-Luther-University Halle-Wittenberg, 06120, Halle (Saale), Germany.
| | - Karin M Danzer
- Department of Neurology, University of Ulm, 89075, Ulm, Germany; German Center for Neurodegenerative Diseases (DZNE E.V.), Ulm, Germany.
| | - Heiko Graf
- Department of Psychiatry and Psychotherapy III, University of Ulm, 89075, Ulm, Germany.
| | | | - Olivia Belbin
- Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Sant Antoni Maria Claret, 167, 08025, Barcelona, Spain; Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED), Barcelona, Spain.
| | - Alberto Lleó
- Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Sant Antoni Maria Claret, 167, 08025, Barcelona, Spain; Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED), Barcelona, Spain.
| | | | - Markus Otto
- Department of Neurology, Martin-Luther-University Halle-Wittenberg, 06120, Halle (Saale), Germany.
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