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Cao B, Xu Q, Shi Y, Zhao R, Li H, Zheng J, Liu F, Wan Y, Wei B. Pathology of pain and its implications for therapeutic interventions. Signal Transduct Target Ther 2024; 9:155. [PMID: 38851750 PMCID: PMC11162504 DOI: 10.1038/s41392-024-01845-w] [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: 05/12/2023] [Revised: 04/08/2024] [Accepted: 04/25/2024] [Indexed: 06/10/2024] Open
Abstract
Pain is estimated to affect more than 20% of the global population, imposing incalculable health and economic burdens. Effective pain management is crucial for individuals suffering from pain. However, the current methods for pain assessment and treatment fall short of clinical needs. Benefiting from advances in neuroscience and biotechnology, the neuronal circuits and molecular mechanisms critically involved in pain modulation have been elucidated. These research achievements have incited progress in identifying new diagnostic and therapeutic targets. In this review, we first introduce fundamental knowledge about pain, setting the stage for the subsequent contents. The review next delves into the molecular mechanisms underlying pain disorders, including gene mutation, epigenetic modification, posttranslational modification, inflammasome, signaling pathways and microbiota. To better present a comprehensive view of pain research, two prominent issues, sexual dimorphism and pain comorbidities, are discussed in detail based on current findings. The status quo of pain evaluation and manipulation is summarized. A series of improved and innovative pain management strategies, such as gene therapy, monoclonal antibody, brain-computer interface and microbial intervention, are making strides towards clinical application. We highlight existing limitations and future directions for enhancing the quality of preclinical and clinical research. Efforts to decipher the complexities of pain pathology will be instrumental in translating scientific discoveries into clinical practice, thereby improving pain management from bench to bedside.
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Affiliation(s)
- Bo Cao
- Department of General Surgery, First Medical Center, Chinese PLA General Hospital, Beijing, 100853, China
| | - Qixuan Xu
- Department of General Surgery, First Medical Center, Chinese PLA General Hospital, Beijing, 100853, China
- Medical School of Chinese PLA, Beijing, 100853, China
| | - Yajiao Shi
- Neuroscience Research Institute and Department of Neurobiology, School of Basic Medical Sciences, Key Laboratory for Neuroscience, Ministry of Education/National Health Commission, Peking University, Beijing, 100191, China
| | - Ruiyang Zhao
- Department of General Surgery, First Medical Center, Chinese PLA General Hospital, Beijing, 100853, China
- Medical School of Chinese PLA, Beijing, 100853, China
| | - Hanghang Li
- Department of General Surgery, First Medical Center, Chinese PLA General Hospital, Beijing, 100853, China
- Medical School of Chinese PLA, Beijing, 100853, China
| | - Jie Zheng
- Neuroscience Research Institute and Department of Neurobiology, School of Basic Medical Sciences, Key Laboratory for Neuroscience, Ministry of Education/National Health Commission, Peking University, Beijing, 100191, China
| | - Fengyu Liu
- Neuroscience Research Institute and Department of Neurobiology, School of Basic Medical Sciences, Key Laboratory for Neuroscience, Ministry of Education/National Health Commission, Peking University, Beijing, 100191, China.
| | - You Wan
- Neuroscience Research Institute and Department of Neurobiology, School of Basic Medical Sciences, Key Laboratory for Neuroscience, Ministry of Education/National Health Commission, Peking University, Beijing, 100191, China.
| | - Bo Wei
- Department of General Surgery, First Medical Center, Chinese PLA General Hospital, Beijing, 100853, China.
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Tang C, Duran P, Calderon-Rivera A, Loya-Lopez S, Gomez K, Perez-Miller S, Khanna R. Regulating neuronal excitability: The role of S-palmitoylation in Na V1.7 activity and voltage sensitivity. PNAS NEXUS 2024; 3:pgae222. [PMID: 38894876 PMCID: PMC11184981 DOI: 10.1093/pnasnexus/pgae222] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/14/2024] [Accepted: 05/29/2024] [Indexed: 06/21/2024]
Abstract
S-palmitoylation, a reversible lipid post-translational modification, regulates the functions of numerous proteins. Voltage-gated sodium channels (NaVs), pivotal in action potential generation and propagation within cardiac cells and sensory neurons, can be directly or indirectly modulated by S-palmitoylation, impacting channel trafficking and function. However, the role of S-palmitoylation in modulating NaV1.7, a significant contributor to pain pathophysiology, has remained unexplored. Here, we addressed this knowledge gap by investigating if S-palmitoylation influences NaV1.7 channel function. Acyl-biotin exchange assays demonstrated that heterologously expressed NaV1.7 channels are modified by S-palmitoylation. Blocking S-palmitoylation with 2-bromopalmitate resulted in reduced NaV1.7 current density and hyperpolarized steady-state inactivation. We identified two S-palmitoylation sites within NaV1.7, both located in the second intracellular loop, which regulated different properties of the channel. Specifically, S-palmitoylation of cysteine 1126 enhanced NaV1.7 current density, while S-palmitoylation of cysteine 1152 modulated voltage-dependent inactivation. Blocking S-palmitoylation altered excitability of rat dorsal root ganglion neurons. Lastly, in human sensory neurons, NaV1.7 undergoes S-palmitoylation, and the attenuation of this post-translational modification results in alterations in the voltage-dependence of activation, leading to decreased neuronal excitability. Our data show, for the first time, that S-palmitoylation affects NaV1.7 channels, exerting regulatory control over their activity and, consequently, impacting rodent and human sensory neuron excitability. These findings provide a foundation for future pharmacological studies, potentially uncovering novel therapeutic avenues in the modulation of S-palmitoylation for NaV1.7 channels.
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Affiliation(s)
- Cheng Tang
- Department of Molecular Pathobiology, College of Dentistry, New York University, New York, NY 10010, USA
- The National and Local Joint Engineering Laboratory of Animal Peptide Drug Development, College of Life Sciences, Hunan Normal University, Changsha 410081, China
- Peptide and Small Molecule Drug R&D Platform, Furong Laboratory, Hunan Normal University, Changsha 410081, China
| | - Paz Duran
- Department of Molecular Pathobiology, College of Dentistry, New York University, New York, NY 10010, USA
| | - Aida Calderon-Rivera
- Department of Molecular Pathobiology, College of Dentistry, New York University, New York, NY 10010, USA
- Department of Pharmacology and Therapeutics, College of Medicine, University of Florida, Gainesville, FL 32610, USA
| | - Santiago Loya-Lopez
- Department of Molecular Pathobiology, College of Dentistry, New York University, New York, NY 10010, USA
- Department of Pharmacology and Therapeutics, College of Medicine, University of Florida, Gainesville, FL 32610, USA
| | - Kimberly Gomez
- Department of Molecular Pathobiology, College of Dentistry, New York University, New York, NY 10010, USA
- Department of Pharmacology and Therapeutics, College of Medicine, University of Florida, Gainesville, FL 32610, USA
| | - Samantha Perez-Miller
- Department of Molecular Pathobiology, College of Dentistry, New York University, New York, NY 10010, USA
- Department of Pharmacology and Therapeutics, College of Medicine, University of Florida, Gainesville, FL 32610, USA
| | - Rajesh Khanna
- Department of Pharmacology and Therapeutics, College of Medicine, University of Florida, Gainesville, FL 32610, USA
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Zeylan M, Senyuz S, Picón-Pagès P, García-Elías A, Tajes M, Muñoz FJ, Oliva B, Garcia-Ojalvo J, Barbu E, Vicente R, Nattel S, Ois A, Puig-Pijoan A, Keskin O, Gursoy A. Shared Proteins and Pathways of Cardiovascular and Cognitive Diseases: Relation to Vascular Cognitive Impairment. J Proteome Res 2024; 23:560-573. [PMID: 38252700 PMCID: PMC10846560 DOI: 10.1021/acs.jproteome.3c00289] [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: 05/12/2023] [Revised: 09/29/2023] [Accepted: 12/06/2023] [Indexed: 01/24/2024]
Abstract
One of the primary goals of systems medicine is the detection of putative proteins and pathways involved in disease progression and pathological phenotypes. Vascular cognitive impairment (VCI) is a heterogeneous condition manifesting as cognitive impairment resulting from vascular factors. The precise mechanisms underlying this relationship remain unclear, which poses challenges for experimental research. Here, we applied computational approaches like systems biology to unveil and select relevant proteins and pathways related to VCI by studying the crosstalk between cardiovascular and cognitive diseases. In addition, we specifically included signals related to oxidative stress, a common etiologic factor tightly linked to aging, a major determinant of VCI. Our results show that pathways associated with oxidative stress are quite relevant, as most of the prioritized vascular cognitive genes and proteins were enriched in these pathways. Our analysis provided a short list of proteins that could be contributing to VCI: DOLK, TSC1, ATP1A1, MAPK14, YWHAZ, CREB3, HSPB1, PRDX6, and LMNA. Moreover, our experimental results suggest a high implication of glycative stress, generating oxidative processes and post-translational protein modifications through advanced glycation end-products (AGEs). We propose that these products interact with their specific receptors (RAGE) and Notch signaling to contribute to the etiology of VCI.
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Affiliation(s)
- Melisa
E. Zeylan
- Computational
Sciences and Engineering, Graduate School of Science and Engineering, Koç University, Istanbul 34450, Türkiye
| | - Simge Senyuz
- Computational
Sciences and Engineering, Graduate School of Science and Engineering, Koç University, Istanbul 34450, Türkiye
| | - Pol Picón-Pagès
- Laboratory
of Molecular Physiology, Department of Medicine and Life Sciences, Universitat Pompeu Fabra, Barcelona 08002, Spain
| | - Anna García-Elías
- Laboratory
of Molecular Physiology, Department of Medicine and Life Sciences, Universitat Pompeu Fabra, Barcelona 08002, Spain
| | - Marta Tajes
- Laboratory
of Molecular Physiology, Department of Medicine and Life Sciences, Universitat Pompeu Fabra, Barcelona 08002, Spain
| | - Francisco J. Muñoz
- Laboratory
of Molecular Physiology, Department of Medicine and Life Sciences, Universitat Pompeu Fabra, Barcelona 08002, Spain
| | - Baldomero Oliva
- Laboratory
of Structural Bioinformatics (GRIB), Department of Medicine and Life
Sciences, Universitat Pompeu Fabra, Barcelona 08002, Spain
| | - Jordi Garcia-Ojalvo
- Laboratory
of Dynamical Systems Biology, Department of Medicine and Life Sciences, Universitat Pompeu Fabra, Barcelona 08002, Spain
| | - Eduard Barbu
- Institute
of Computer Science, University of Tartu, Tartu, 50090, Estonia
| | - Raul Vicente
- Institute
of Computer Science, University of Tartu, Tartu, 50090, Estonia
| | - Stanley Nattel
- Department
of Medicine and Research Center, Montreal Heart Institute and Université
de Montréal; Institute of Pharmacology, West German Heart and
Vascular Center, University Duisburg-Essen,
Germany; IHU LIRYC and Fondation Bordeaux Université, Bordeaux 33000, France
| | - Angel Ois
- Department
of Neurology, Hospital Del Mar. Hospital
Del Mar - Medical Research Institute and Universitat Pompeu Fabra, Barcelona 08003, Spain
| | - Albert Puig-Pijoan
- Department
of Neurology, Hospital Del Mar. Hospital
Del Mar - Medical Research Institute and Universitat Pompeu Fabra, Barcelona 08003, Spain
| | - Ozlem Keskin
- Department
of Chemical and Biological Engineering, Koç University, Istanbul 34450, Türkiye
| | - Attila Gursoy
- Department
of Computer Engineering, Koç University, Istanbul 34450, Türkiye
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