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Su Y, Huang M, Thomas AG, Maragakis J, Huizar KDJ, Zheng Y, Wu Y, Farah MH, Slusher BS. GCPII Inhibition Promotes Remyelination after Peripheral Nerve Injury in Aged Mice. Int J Mol Sci 2024; 25:6893. [PMID: 39000003 PMCID: PMC11241013 DOI: 10.3390/ijms25136893] [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: 06/07/2024] [Revised: 06/18/2024] [Accepted: 06/21/2024] [Indexed: 07/14/2024] Open
Abstract
Peripheral nerve injuries (PNIs) represent a significant clinical challenge, particularly in elderly populations where axonal remyelination and regeneration are impaired. Developing therapies to enhance these processes is crucial for improving PNI repair outcomes. Glutamate carboxypeptidase II (GCPII) is a neuropeptidase that plays a pivotal role in modulating glutamate signaling through its enzymatic cleavage of the abundant neuropeptide N-acetyl aspartyl glutamate (NAAG) to liberate glutamate. Within the PNS, GCPII is expressed in Schwann cells and activated macrophages, and its expression is amplified with aging. In this study, we explored the therapeutic potential of inhibiting GCPII activity following PNI. We report significant GCPII protein and activity upregulation following PNI, which was normalized by the potent and selective GCPII inhibitor 2-(phosphonomethyl)-pentanedioic acid (2-PMPA). In vitro, 2-PMPA robustly enhanced myelination in dorsal root ganglion (DRG) explants. In vivo, using a sciatic nerve crush injury model in aged mice, 2-PMPA accelerated remyelination, as evidenced by increased myelin sheath thickness and higher numbers of remyelinated axons. These findings suggest that GCPII inhibition may be a promising therapeutic strategy to enhance remyelination and potentially improve functional recovery after PNI, which is especially relevant in elderly PNI patients where this process is compromised.
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Affiliation(s)
- Yu Su
- Johns Hopkins Drug Discovery, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; (Y.S.); (M.H.); (A.G.T.); (J.M.); (K.D.J.H.); (Y.Z.); (Y.W.)
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Meixiang Huang
- Johns Hopkins Drug Discovery, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; (Y.S.); (M.H.); (A.G.T.); (J.M.); (K.D.J.H.); (Y.Z.); (Y.W.)
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Ajit G. Thomas
- Johns Hopkins Drug Discovery, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; (Y.S.); (M.H.); (A.G.T.); (J.M.); (K.D.J.H.); (Y.Z.); (Y.W.)
| | - John Maragakis
- Johns Hopkins Drug Discovery, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; (Y.S.); (M.H.); (A.G.T.); (J.M.); (K.D.J.H.); (Y.Z.); (Y.W.)
| | - Kaitlyn D. J. Huizar
- Johns Hopkins Drug Discovery, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; (Y.S.); (M.H.); (A.G.T.); (J.M.); (K.D.J.H.); (Y.Z.); (Y.W.)
| | - Yuxin Zheng
- Johns Hopkins Drug Discovery, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; (Y.S.); (M.H.); (A.G.T.); (J.M.); (K.D.J.H.); (Y.Z.); (Y.W.)
| | - Ying Wu
- Johns Hopkins Drug Discovery, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; (Y.S.); (M.H.); (A.G.T.); (J.M.); (K.D.J.H.); (Y.Z.); (Y.W.)
| | - Mohamed H. Farah
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Barbara S. Slusher
- Johns Hopkins Drug Discovery, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; (Y.S.); (M.H.); (A.G.T.); (J.M.); (K.D.J.H.); (Y.Z.); (Y.W.)
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Department of Pharmacology and Molecular Sciences, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Department of Psychiatry and Behavioral Science, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
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Zhang F, Wei Y, Weng R, Xu Q, Li R, Yu Y, Xu G. Paraventricular thalamus-insular cortex circuit mediates colorectal visceral pain induced by neonatal colonic inflammation in mice. CNS Neurosci Ther 2024; 30:e14534. [PMID: 37994678 PMCID: PMC11017444 DOI: 10.1111/cns.14534] [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: 09/28/2023] [Revised: 11/04/2023] [Accepted: 11/06/2023] [Indexed: 11/24/2023] Open
Abstract
AIMS Irritable bowel syndrome (IBS) is a common functional gastrointestinal disorder, but its pathogenesis remains incompletely understood, particularly the involvements of central nervous system sensitization in colorectal visceral pain. Our study was to investigate whether the paraventricular thalamus (PVT) projected to the insular cortex (IC) to regulate colorectal visceral pain in neonatal colonic inflammation (NCI) mice and underlying mechanisms. METHODS We applied optogenetic, chemogenetic, or pharmacological approaches to manipulate the glutamatergicPVT-IC pathway. Fiber photometry was used to assess neuronal activity. Electromyography activities in response to colorectal distension (CRD) were measured to evaluate the colorectal visceral pain. RESULTS NCI enhanced c-Fos expression and calcium activity upon CRD in the ICGlu, and optogenetic manipulation of them altered colorectal visceral pain responses accordingly. Viral tracing indicated that the PVTGlu projected to the ICGlu. Optogenetic manipulation of PVTGlu changed colorectal visceral pain responses. Furthermore, selective optogenetic modulation of PVT projections in the IC influenced colorectal visceral pain, which was reversed by chemogenetic manipulation of downstream ICGlu. CONCLUSIONS This study identified a novel PVT-IC neural circuit playing a critical role in colorectal visceral pain in a mouse model of IBS.
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Affiliation(s)
- Fu‐Chao Zhang
- Jiangsu Key Laboratory of Neuropsychiatric Diseases and Institute of NeuroscienceSoochow UniversitySuzhouJiangsuP. R. China
| | - Ying‐Xue Wei
- Jiangsu Key Laboratory of Neuropsychiatric Diseases and Institute of NeuroscienceSoochow UniversitySuzhouJiangsuP. R. China
| | - Rui‐Xia Weng
- Department of GastroenterologyThe First Affiliated Hospital of Soochow UniversitySuzhouJiangsuP. R. China
| | - Qi‐Ya Xu
- Department of AnesthesiologyThe First Affiliated Hospital of Soochow UniversitySuzhouJiangsuP. R. China
| | - Rui Li
- Department of GastroenterologyThe First Affiliated Hospital of Soochow UniversitySuzhouJiangsuP. R. China
| | - Yang Yu
- Jiangsu Key Laboratory of Neuropsychiatric Diseases and Institute of NeuroscienceSoochow UniversitySuzhouJiangsuP. R. China
| | - Guang‐Yin Xu
- Jiangsu Key Laboratory of Neuropsychiatric Diseases and Institute of NeuroscienceSoochow UniversitySuzhouJiangsuP. R. China
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Peper CJ, Kilgore MD, Jiang Y, Xiu Y, Xia W, Wang Y, Shi M, Zhou D, Dumont AS, Wang X, Liu N. Tracing the path of disruption: 13C isotope applications in traumatic brain injury-induced metabolic dysfunction. CNS Neurosci Ther 2024; 30:e14693. [PMID: 38544365 PMCID: PMC10973562 DOI: 10.1111/cns.14693] [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: 01/16/2024] [Revised: 02/25/2024] [Accepted: 03/12/2024] [Indexed: 05/14/2024] Open
Abstract
Cerebral metabolic dysfunction is a critical pathological hallmark observed in the aftermath of traumatic brain injury (TBI), as extensively documented in clinical investigations and experimental models. An in-depth understanding of the bioenergetic disturbances that occur following TBI promises to reveal novel therapeutic targets, paving the way for the timely development of interventions to improve patient outcomes. The 13C isotope tracing technique represents a robust methodological advance, harnessing biochemical quantification to delineate the metabolic trajectories of isotopically labeled substrates. This nuanced approach enables real-time mapping of metabolic fluxes, providing a window into the cellular energetic state and elucidating the perturbations in key metabolic circuits. By applying this sophisticated tool, researchers can dissect the complexities of bioenergetic networks within the central nervous system, offering insights into the metabolic derangements specific to TBI pathology. Embraced by both animal studies and clinical research, 13C isotope tracing has bolstered our understanding of TBI-induced metabolic dysregulation. This review synthesizes current applications of isotope tracing and its transformative potential in evaluating and addressing the metabolic sequelae of TBI.
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Affiliation(s)
- Charles J. Peper
- Clinical Neuroscience Research Center, Departments of Neurosurgery and NeurologyTulane University School of MedicineNew OrleansLouisianaUSA
| | - Mitchell D. Kilgore
- Clinical Neuroscience Research Center, Departments of Neurosurgery and NeurologyTulane University School of MedicineNew OrleansLouisianaUSA
| | - Yinghua Jiang
- Clinical Neuroscience Research Center, Departments of Neurosurgery and NeurologyTulane University School of MedicineNew OrleansLouisianaUSA
| | - Yuwen Xiu
- Clinical Neuroscience Research Center, Departments of Neurosurgery and NeurologyTulane University School of MedicineNew OrleansLouisianaUSA
| | - Winna Xia
- Clinical Neuroscience Research Center, Departments of Neurosurgery and NeurologyTulane University School of MedicineNew OrleansLouisianaUSA
| | - Yingjie Wang
- Clinical Neuroscience Research Center, Departments of Neurosurgery and NeurologyTulane University School of MedicineNew OrleansLouisianaUSA
| | - Mengxuan Shi
- Clinical Neuroscience Research Center, Departments of Neurosurgery and NeurologyTulane University School of MedicineNew OrleansLouisianaUSA
| | - Di Zhou
- Clinical Neuroscience Research Center, Departments of Neurosurgery and NeurologyTulane University School of MedicineNew OrleansLouisianaUSA
| | - Aaron S. Dumont
- Clinical Neuroscience Research Center, Departments of Neurosurgery and NeurologyTulane University School of MedicineNew OrleansLouisianaUSA
| | - Xiaoying Wang
- Clinical Neuroscience Research Center, Departments of Neurosurgery and NeurologyTulane University School of MedicineNew OrleansLouisianaUSA
- Neuroscience Program, Tulane Brain InstituteTulane UniversityNew OrleansLouisianaUSA
| | - Ning Liu
- Clinical Neuroscience Research Center, Departments of Neurosurgery and NeurologyTulane University School of MedicineNew OrleansLouisianaUSA
- Neuroscience Program, Tulane Brain InstituteTulane UniversityNew OrleansLouisianaUSA
- Tulane University Translational Sciences InstituteNew OrleansLouisianaUSA
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Wang X, Zhou G, Lin J, Qin T, Du J, Guo L, Lai P, Jing Y, Zhang Z, Zhou Y, Ding G. Effects of radiofrequency field from 5G communication on fecal microbiome and metabolome profiles in mice. Sci Rep 2024; 14:3571. [PMID: 38347014 PMCID: PMC10861445 DOI: 10.1038/s41598-024-53842-2] [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: 09/21/2023] [Accepted: 02/06/2024] [Indexed: 02/15/2024] Open
Abstract
With the rapid development of 5G networks, the influence of the radiofrequency field (RF) generated from 5G communication equipment on human health is drawing increasing attention in public. The study aimed at assessing the effects of long-term exposure to 4.9 GHz (one of the working frequencies of 5G communication) RF field on fecal microbiome and metabolome profiles in adult male C57BL/6 mice. The animals were divided into Sham group and radiofrequency group (RF group). For RF group, the mice were whole body exposed to 4.9 GHz RF field for three weeks, 1 h/d, at average power density (PD) of 50 W/m2. After RF exposure, the mice fecal samples were collected to detect gut microorganisms and metabolites by 16S rRNA gene sequencing and LC-MS method, respectively. The results showed that intestinal microbial compositions were altered in RF group, as evidenced by reduced microbial diversity and changed microbial community distribution. Metabolomics profiling identified 258 significantly differentially abundant metabolites in RF group, 57 of which can be classified to Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways. Besides, functional correlation analysis showed that changes in gut microbiota genera were significantly correlated with changes in fecal metabolites. In summary, the results suggested that altered gut microbiota and metabolic profile are associated with 4.9 GHz radiofrequency exposure.
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Affiliation(s)
- Xing Wang
- Department of Radiation Protection Medicine, School of Military Preventive Medicine, Air Force Medical University, Xi'an, China
- Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, Xi'an, China
| | - Guiqiang Zhou
- Department of Radiation Protection Medicine, School of Military Preventive Medicine, Air Force Medical University, Xi'an, China
- Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, Xi'an, China
- School of Public Health, Shandong Second Medical University, Weifang, China
| | - Jiajin Lin
- Department of Radiation Protection Medicine, School of Military Preventive Medicine, Air Force Medical University, Xi'an, China
- Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, Xi'an, China
| | - Tongzhou Qin
- Department of Radiation Protection Medicine, School of Military Preventive Medicine, Air Force Medical University, Xi'an, China
- Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, Xi'an, China
| | - Junze Du
- Department of Radiation Protection Medicine, School of Military Preventive Medicine, Air Force Medical University, Xi'an, China
- Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, Xi'an, China
| | - Ling Guo
- Department of Radiation Protection Medicine, School of Military Preventive Medicine, Air Force Medical University, Xi'an, China
- Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, Xi'an, China
| | - Panpan Lai
- Department of Radiation Protection Medicine, School of Military Preventive Medicine, Air Force Medical University, Xi'an, China
- Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, Xi'an, China
| | - Yuntao Jing
- Department of Radiation Protection Medicine, School of Military Preventive Medicine, Air Force Medical University, Xi'an, China
- Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, Xi'an, China
| | - Zhaowen Zhang
- Department of Radiation Protection Medicine, School of Military Preventive Medicine, Air Force Medical University, Xi'an, China
- Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, Xi'an, China
| | - Yan Zhou
- Department of Radiation Protection Medicine, School of Military Preventive Medicine, Air Force Medical University, Xi'an, China.
- Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, Xi'an, China.
| | - Guirong Ding
- Department of Radiation Protection Medicine, School of Military Preventive Medicine, Air Force Medical University, Xi'an, China.
- Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, Xi'an, China.
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