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Paveliev M, Egorchev AA, Musin F, Lipachev N, Melnikova A, Gimadutdinov RM, Kashipov AR, Molotkov D, Chickrin DE, Aganov AV. Perineuronal Net Microscopy: From Brain Pathology to Artificial Intelligence. Int J Mol Sci 2024; 25:4227. [PMID: 38673819 PMCID: PMC11049984 DOI: 10.3390/ijms25084227] [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: 02/02/2024] [Revised: 03/31/2024] [Accepted: 04/05/2024] [Indexed: 04/28/2024] Open
Abstract
Perineuronal nets (PNN) are a special highly structured type of extracellular matrix encapsulating synapses on large populations of CNS neurons. PNN undergo structural changes in schizophrenia, epilepsy, Alzheimer's disease, stroke, post-traumatic conditions, and some other brain disorders. The functional role of the PNN microstructure in brain pathologies has remained largely unstudied until recently. Here, we review recent research implicating PNN microstructural changes in schizophrenia and other disorders. We further concentrate on high-resolution studies of the PNN mesh units surrounding synaptic boutons to elucidate fine structural details behind the mutual functional regulation between the ECM and the synaptic terminal. We also review some updates regarding PNN as a potential pharmacological target. Artificial intelligence (AI)-based methods are now arriving as a new tool that may have the potential to grasp the brain's complexity through a wide range of organization levels-from synaptic molecular events to large scale tissue rearrangements and the whole-brain connectome function. This scope matches exactly the complex role of PNN in brain physiology and pathology processes, and the first AI-assisted PNN microscopy studies have been reported. To that end, we report here on a machine learning-assisted tool for PNN mesh contour tracing.
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Affiliation(s)
- Mikhail Paveliev
- Neuroscience Center, University of Helsinki, Haartmaninkatu 8, 00290 Helsinki, Finland
| | - Anton A. Egorchev
- Institute of Computational Mathematics and Information Technologies, Kazan Federal University, Kremlyovskaya 35, Kazan 420008, Tatarstan, Russia; (A.A.E.); (F.M.); (R.M.G.)
| | - Foat Musin
- Institute of Computational Mathematics and Information Technologies, Kazan Federal University, Kremlyovskaya 35, Kazan 420008, Tatarstan, Russia; (A.A.E.); (F.M.); (R.M.G.)
| | - Nikita Lipachev
- Institute of Physics, Kazan Federal University, Kremlyovskaya 16a, Kazan 420008, Tatarstan, Russia; (N.L.); (A.V.A.)
| | - Anastasiia Melnikova
- Institute of Fundamental Medicine and Biology, Kazan Federal University, Karl Marx 74, Kazan 420015, Tatarstan, Russia;
| | - Rustem M. Gimadutdinov
- Institute of Computational Mathematics and Information Technologies, Kazan Federal University, Kremlyovskaya 35, Kazan 420008, Tatarstan, Russia; (A.A.E.); (F.M.); (R.M.G.)
| | - Aidar R. Kashipov
- Institute of Artificial Intelligence, Robotics and Systems Engineering, Kazan Federal University, Kremlyovskaya 18, Kazan 420008, Tatarstan, Russia; (A.R.K.); (D.E.C.)
| | - Dmitry Molotkov
- Biomedicum Imaging Unit, University of Helsinki, Haartmaninkatu 8, 00014 Helsinki, Finland;
| | - Dmitry E. Chickrin
- Institute of Artificial Intelligence, Robotics and Systems Engineering, Kazan Federal University, Kremlyovskaya 18, Kazan 420008, Tatarstan, Russia; (A.R.K.); (D.E.C.)
| | - Albert V. Aganov
- Institute of Physics, Kazan Federal University, Kremlyovskaya 16a, Kazan 420008, Tatarstan, Russia; (N.L.); (A.V.A.)
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Carceller H, Gramuntell Y, Klimczak P, Nacher J. Perineuronal Nets: Subtle Structures with Large Implications. Neuroscientist 2023; 29:569-590. [PMID: 35872660 DOI: 10.1177/10738584221106346] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/25/2023]
Abstract
Perineuronal nets (PNNs) are specialized structures of the extracellular matrix that surround the soma and proximal dendrites of certain neurons in the central nervous system, particularly parvalbumin-expressing interneurons. Their appearance overlaps the maturation of neuronal circuits and the closure of critical periods in different regions of the brain, setting their connectivity and abruptly reducing their plasticity. As a consequence, the digestion of PNNs, as well as the removal or manipulation of their components, leads to a boost in this plasticity and can play a key role in the functional recovery from different insults and in the etiopathology of certain neurologic and psychiatric disorders. Here we review the structure, composition, and distribution of PNNs and their variation throughout the evolutive scale. We also discuss methodological approaches to study these structures. The function of PNNs during neurodevelopment and adulthood is discussed, as well as the influence of intrinsic and extrinsic factors on these specialized regions of the extracellular matrix. Finally, we review current data on alterations in PNNs described in diseases of the central nervous system (CNS), focusing on psychiatric disorders. Together, all the data available point to the PNNs as a promising target to understand the physiology and pathologic conditions of the CNS.
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Affiliation(s)
- Héctor Carceller
- Neurobiology Unit, Institute for Biotechnology and Biomedicine (BIOTECMED), University of Valencia, Spain
- CIBERSAM, Spanish National Network for Research in Mental Health, Instituto de Salud Carlos III, Madrid, Spain
- Biomedical Imaging Unit FISABIO-CIPF, Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunidad Valenciana, Valencia, Spain
| | - Yaiza Gramuntell
- Neurobiology Unit, Institute for Biotechnology and Biomedicine (BIOTECMED), University of Valencia, Spain
| | - Patrycja Klimczak
- Neurobiology Unit, Institute for Biotechnology and Biomedicine (BIOTECMED), University of Valencia, Spain
- CIBERSAM, Spanish National Network for Research in Mental Health, Instituto de Salud Carlos III, Madrid, Spain
| | - Juan Nacher
- Neurobiology Unit, Institute for Biotechnology and Biomedicine (BIOTECMED), University of Valencia, Spain
- CIBERSAM, Spanish National Network for Research in Mental Health, Instituto de Salud Carlos III, Madrid, Spain
- Fundación Investigación Hospital Clínico de Valencia, INCLIVA, Valencia, Spain
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Han S, Wang Q, Song Y, Pang M, Ren C, Wang J, Guan D, Xu W, Li F, Wang F, Zhou X, Fernández-Hernando C, Zhang H, Wu D, Ye Z. Lithium ameliorates Niemann-Pick C1 disease phenotypes by impeding STING/SREBP2 activation. iScience 2023; 26:106613. [PMID: 37128603 PMCID: PMC10148154 DOI: 10.1016/j.isci.2023.106613] [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] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Revised: 11/18/2022] [Accepted: 03/31/2023] [Indexed: 05/03/2023] Open
Abstract
Niemann-Pick disease type C (NP-C) is a genetic lysosomal disorder associated with progressive neurodegenerative phenotypes. Its therapeutic options are very limited. Here, we show that lithium treatment improves ataxia and feeding phenotypes, attenuates cerebellar inflammation and degeneration, and extends survival in Npc1 mouse models. In addition, lithium suppresses STING activation, SREBP2 processing to its mature form and the expression of the target genes in the Npc1 mice and in Npc1-deficient fibroblasts. Lithium impedes STING/SREBP2 transport from the ER to the Golgi, a step required for STING activation and SREBP2 processing, probably by lowering cytosolic calcium concentrations. This effect of lithium on STING/SREBP2 transport provides a mechanistic explanation for lithium's effects on Npc1 mice. Thus, this study reveals a potential therapeutic option for NP-C patients as well as a strategy to reduce active STING/SREBP2 pathway.
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Affiliation(s)
- Shiqian Han
- Department of Tropical Medicine, Third Military Medical University (Army Medical University), Chongqing 400038, China
| | - Qijun Wang
- Vascular Biology and Therapeutics Program, Yale University School of Medicine, New Haven, CT06520, USA
- Departments of Pharmacology, Yale University School of Medicine, New Haven, CT06520, USA
- Shanghai Institute of Immunology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China
| | - Yongfeng Song
- Vascular Biology and Therapeutics Program, Yale University School of Medicine, New Haven, CT06520, USA
- Departments of Pharmacology, Yale University School of Medicine, New Haven, CT06520, USA
| | - Mao Pang
- Laboratory Animal Research Center, Chongqing University School of Medicine, Chongqing 400044, China
| | - Chunguang Ren
- Vascular Biology and Therapeutics Program, Yale University School of Medicine, New Haven, CT06520, USA
- Departments of Pharmacology, Yale University School of Medicine, New Haven, CT06520, USA
| | - Jing Wang
- Department of Tropical Medicine, Third Military Medical University (Army Medical University), Chongqing 400038, China
| | - Dongwei Guan
- Laboratory Animal Research Center, Chongqing University School of Medicine, Chongqing 400044, China
| | - Wei Xu
- Biostatistics, Yale University School of Medicine, New Haven, CT 06520, USA
| | - Fangyong Li
- Biostatistics, Yale University School of Medicine, New Haven, CT 06520, USA
| | - Fengchao Wang
- Institute of Combined Injury, Third Military Medical University (Army Medical University), Chongqing 400038, China
| | - Xinyuan Zhou
- Department of Immunology, Third Military Medical University (Army Medical University), Chongqing 400038, China
| | - Carlos Fernández-Hernando
- Vascular Biology and Therapeutics Program, Yale University School of Medicine, New Haven, CT06520, USA
- Comparative Medicine and Pathology, Yale University School of Medicine, New Haven, CT 06520, USA
| | - Huiwen Zhang
- Department of Pediatric Endocrinology and Genetics, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China
| | - Dianqing Wu
- Vascular Biology and Therapeutics Program, Yale University School of Medicine, New Haven, CT06520, USA
- Departments of Pharmacology, Yale University School of Medicine, New Haven, CT06520, USA
| | - Zhijia Ye
- Laboratory Animal Research Center, Chongqing University School of Medicine, Chongqing 400044, China
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Yan C, Song MH, Jiang D, Ren JL, Lv Y, Chang J, Huang S, Zaher H, Li JT. Genomic evidence reveals intraspecific divergence of the hot-spring snake (Thermophis baileyi), an endangered reptile endemic to the Qinghai-Tibet plateau. Mol Ecol 2023; 32:1335-1350. [PMID: 36073004 DOI: 10.1111/mec.16687] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 09/04/2022] [Accepted: 09/06/2022] [Indexed: 11/27/2022]
Abstract
Understanding how and why species evolve requires knowledge on intraspecific divergence. In this study, we examined intraspecific divergence in the endangered hot-spring snake (Thermophis baileyi), an endemic species on the Qinghai-Tibet Plateau (QTP). Whole-genome resequencing of 58 sampled individuals from 15 populations was performed to identify the drivers of intraspecific divergence and explore the potential roles of genes under selection. Our analyses resolved three groups, with major intergroup admixture occurring in regions of group contact. Divergence probably occurred during the Pleistocene as a result of glacial climatic oscillations, Yadong-Gulu rift, and geothermal fields differentiation, while complex gene flow between group pairs reflected a unique intraspecific divergence pattern on the QTP. Intergroup fixed loci involved selected genes functionally related to divergence and local adaptation, especially adaptation to hot spring microenvironments in different geothermal fields. Analysis of structural variants, genetic diversity, inbreeding, and genetic load indicated that the hot-spring snake population has declined to a low level with decreased diversity, which is important for the conservation management of this endangered species. Our study demonstrated that the integration of demographic history, gene flow, genomic divergence genes, and other information is necessary to distinguish the evolutionary processes involved in speciation.
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Affiliation(s)
- Chaochao Yan
- CAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization & Ecological Restoration and Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, China
| | - Meng-Huan Song
- CAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization & Ecological Restoration and Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Dechun Jiang
- CAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization & Ecological Restoration and Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, China
| | - Jin-Long Ren
- CAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization & Ecological Restoration and Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Yunyun Lv
- CAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization & Ecological Restoration and Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, China
| | - Jiang Chang
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, China
| | - Song Huang
- College of Life Sciences, Anhui Normal University, Wuhu, China
| | - Hussam Zaher
- Museu de Zoologia, Universidade de São Paulo, São Paulo, São Paulo, Brazil
| | - Jia-Tang Li
- CAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization & Ecological Restoration and Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, China.,University of Chinese Academy of Sciences, Beijing, China.,Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China.,Mangkang Biodiversity and Ecological Station, Tibet Ecological Safety Monitor Network, Changdu, China
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Basu A, Patel NG, Nicholson ED, Weiss RJ. Spatiotemporal diversity and regulation of glycosaminoglycans in cell homeostasis and human disease. Am J Physiol Cell Physiol 2022; 322:C849-C864. [PMID: 35294848 PMCID: PMC9037703 DOI: 10.1152/ajpcell.00085.2022] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
Glycosaminoglycans (GAGs) are long, linear polysaccharides that are ubiquitously expressed on the cell surface and in the extracellular matrix of all animal cells. These complex carbohydrates play important roles in many cellular processes and have been implicated in many disease states, including cancer, inflammation, and genetic disorders. GAGs are among the most complex molecules in biology with enormous information content and extensive structural and functional heterogeneity. GAG biosynthesis is a nontemplate-driven process facilitated by a large group of biosynthetic enzymes that have been extensively characterized over the past few decades. Interestingly, the expression of the enzymes and the consequent structure and function of the polysaccharide chains can vary temporally and spatially during development and under certain pathophysiological conditions, suggesting their assembly is tightly regulated in cells. Due to their many key roles in cell homeostasis and disease, there is much interest in targeting the assembly and function of GAGs as a therapeutic approach. Recent advances in genomics and GAG analytical techniques have pushed the field and generated new perspectives on the regulation of mammalian glycosylation. This review highlights the spatiotemporal diversity of GAGs and the mechanisms guiding their assembly and function in human biology and disease.
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Affiliation(s)
- Amrita Basu
- 1Complex Carbohydrate Research Center, University of Georgia, Athens, Georgia
| | - Neil G. Patel
- 1Complex Carbohydrate Research Center, University of Georgia, Athens, Georgia,2Department of Biochemistry and Molecular Biology, University of Georgia, Athens, Georgia
| | - Elijah D. Nicholson
- 2Department of Biochemistry and Molecular Biology, University of Georgia, Athens, Georgia
| | - Ryan J. Weiss
- 1Complex Carbohydrate Research Center, University of Georgia, Athens, Georgia,2Department of Biochemistry and Molecular Biology, University of Georgia, Athens, Georgia
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Eisele BS, Wu AJ, Luka Z, Hale AT, York JD. Bisphosphate nucleotidase 2 (BPNT2), a molecular target of lithium, regulates chondroitin sulfation patterns in the cerebral cortex and hippocampus. Adv Biol Regul 2022; 83:100858. [PMID: 34920982 PMCID: PMC8858884 DOI: 10.1016/j.jbior.2021.100858] [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: 11/22/2021] [Revised: 12/06/2021] [Accepted: 12/07/2021] [Indexed: 01/03/2023]
Abstract
Bisphosphate nucleotidase 2 (BPNT2) is a member of a family of phosphatases that are directly inhibited by lithium, the first-line medication for bipolar disorder. BPNT2 is localized to the Golgi, where it metabolizes the by-products of glycosaminoglycan sulfation reactions. BPNT2-knockout mice exhibit impairments in total-body chondroitin-4-sulfation which lead to abnormal skeletal development (chondrodysplasia). These mice die in the perinatal period, which has previously prevented the investigation of BPNT2 in the adult nervous system. Previous work has demonstrated the importance of chondroitin sulfation in the brain, as chondroitin-4-sulfate is a major component of perineuronal nets (PNNs), a specialized neuronal extracellular matrix which mediates synaptic plasticity and regulates certain behaviors. We hypothesized that the loss of BPNT2 in the nervous system would decrease chondroitin-4-sulfation and PNNs in the brain, which would coincide with behavioral abnormalities. We used Cre-lox breeding to knockout Bpnt2 specifically in the nervous system using Bpnt2 floxed (fl/fl) animals and a Nestin-driven Cre recombinase. These mice are viable into adulthood, and do not display gross physical abnormalities. We identified decreases in total glycosaminoglycan sulfation across selected brain regions, and specifically show decreases in chondroitin-4-sulfation which correspond with increases in chondroitin-6-sulfation. Interestingly, these changes were not correlated with gross alterations in PNNs. We also subjected these mice to a selection of neurobehavioral assessments and did not identify significant behavioral abnormalities. In summary, this work demonstrates that BPNT2, a known target of lithium, is important for glycosaminoglycan sulfation in the brain, suggesting that lithium-mediated inhibition of BPNT2 in the nervous system warrants further investigation.
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Affiliation(s)
- Brynna S Eisele
- Department of Pharmacology, Vanderbilt University, Nashville, TN, USA; Department of Biochemistry, Vanderbilt University, Nashville, TN, USA
| | - Alice J Wu
- Department of Biochemistry, Vanderbilt University, Nashville, TN, USA
| | - Zigmund Luka
- Department of Biochemistry, Vanderbilt University, Nashville, TN, USA
| | - Andrew T Hale
- Department of Biochemistry, Vanderbilt University, Nashville, TN, USA
| | - John D York
- Department of Biochemistry, Vanderbilt University, Nashville, TN, USA.
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