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Kopalli SR, Behl T, Baldaniya L, Ballal S, Joshi KK, Arya R, Chaturvedi B, Chauhan AS, Verma R, Patel M, Jain SK, Wal A, Gulati M, Koppula S. Neuroadaptation in neurodegenerative diseases: compensatory mechanisms and therapeutic approaches. Prog Neuropsychopharmacol Biol Psychiatry 2025; 139:111375. [PMID: 40280271 DOI: 10.1016/j.pnpbp.2025.111375] [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: 11/26/2024] [Revised: 04/17/2025] [Accepted: 04/18/2025] [Indexed: 04/29/2025]
Abstract
Progressive neuronal loss is a hallmark of neurodegenerative diseases including Alzheimer's, Parkinson's, Huntington's, and Amyotrophic Lateral Sclerosis (ALS), which cause cognitive and motor impairment. Delaying the onset and course of symptoms is largely dependent on neuroadaptation, the brain's ability to restructure in response to damage. The molecular, cellular, and systemic processes that underlie neuroadaptation are examined in this study. These mechanisms include gliosis, neurogenesis, synaptic plasticity, and changes in neurotrophic factors. Axonal sprouting, dendritic remodelling, and compensatory alterations in neurotransmitter systems are important adaptations observed in NDDs; nevertheless, these processes may shift to maladaptive plasticity, which would aid in the advancement of the illness. Amyloid and tau pathology-induced synaptic alterations in Alzheimer's disease emphasize compensatory network reconfiguration. Dopamine depletion causes a major remodelling of the basal ganglia in Parkinson's disease, and non-dopaminergic systems compensate. Both ALS and Huntington's disease rely on motor circuit rearrangement and transcriptional dysregulation to slow down functional deterioration. Neuroadaptation is, however, constrained by oxidative stress, compromised autophagy, and neuroinflammation, particularly in elderly populations. The goal of emerging therapy strategies is to improve neuroadaptation by pharmacologically modifying neurotrophic factors, neuroinflammation, and synaptic plasticity. Neurostimulation, cognitive training, and physical rehabilitation are instances of non-pharmacological therapies that support neuroplasticity. Restoring compensating systems may be possible with the use of stem cell techniques and new gene treatments. The goal of future research is to combine biomarkers and individualized medicines to maximize neuroadaptive responses and decrease the course of illness. In order to reduce neurodegeneration and enhance patient outcomes, this review highlights the dual function of neuroadaptation in NDDs and its potential as a therapeutic target.
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Affiliation(s)
- Spandana Rajendra Kopalli
- Department of Bioscience and Biotechnology, Sejong University, Gwangjin-gu, Seoul 05006, Republic of Korea
| | - Tapan Behl
- Amity School of Pharmaceutical Sciences, Amity University, Punjab-140306, India
| | - Lalji Baldaniya
- Marwadi University Research Center, Department of Pharmaceutical Sciences, Faculty of Health Sciences, Marwadi University, Rajkot 360003, Gujarat, India
| | - Suhas Ballal
- Department of Chemistry and Biochemistry, School of Sciences, JAIN (Deemed to be University), Bangalore, Karnataka, India
| | - Kamal Kant Joshi
- Department of Allied Science, Graphic Era Hill University, Dehradun, India; Graphic Era Deemed to be University, Dehradun, Uttarakhand, India
| | - Renu Arya
- Department of Pharmacy, Chandigarh Pharmacy College, Chandigarh Group of Colleges-Jhanjeri, Mohali 140307, Punjab, India
| | - Bhumi Chaturvedi
- NIMS Institute of Pharmacy, NIMS University Rajasthan, Jaipur, India
| | - Ashish Singh Chauhan
- Uttaranchal Institute of Pharmaceutical Sciences, Division of research and innovation, Uttaranchal University, Dehradun, Uttarakhand, India
| | - Rakesh Verma
- Department of Pharmacology, Institute of Medical Science, BHU, Varanasi, India
| | - Minesh Patel
- Department of Pharmacology & Pharmacy Practice, Saraswati Institute of Pharmaceutical Sciences, Dhanap, Gandhinagar, Gujarat, India
| | - Sanmati Kumar Jain
- Department of Pharmacy, Guru Ghasidas Vishwavidyalaya (A Central University), Koni, Bilaspur, India, 495009
| | - Ankita Wal
- Pranveer Singh Institute of Technology, Pharmacy, NH-19, Bhauti Road, Kanpur, UP, India
| | - Monica Gulati
- School of Pharmaceutical Sciences, Lovely Professional University, Phagwara, Punjab 1444411, India; ARCCIM, Faculty of Health, University of Technology Sydney, Ultimo, NSW 20227, Australia
| | - Sushruta Koppula
- College of Biomedical and Health Sciences, Konkuk University, Chungju-Si, Chungcheongbuk Do 27478, Republic of Korea.
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Skattebo Ø, Peci D, Clauss M, Johansen EI, Jensen J. Increased Mass-Specific Maximal Fat Oxidation Rate with Small versus Large Muscle Mass Exercise. Med Sci Sports Exerc 2022; 54:974-983. [PMID: 35576134 DOI: 10.1249/mss.0000000000002864] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
INTRODUCTION Skeletal muscle perfusion and oxygen (O2) delivery are restricted during whole-body exercise because of a limited cardiac output (Q˙). This study investigated the role of reducing central limitations to exercise on the maximal fat oxidation rate (MFO) by comparing mass-specific MFO (per kilogram of active lean mass) during one-legged (1L) and two-legged (2L) cycling. We hypothesized that the mass-specific MFO would be higher during 1L than 2L cycling. METHODS Twelve male subjects (V̇O2peak, 59.3 ± 8.4 mL·kg-1·min-1; mean ± SD) performed step-incremental 2L- (30%-80% of V̇O2peak) and 1L (50% of 2L power output, i.e., equal power output per leg) cycling (counterbalanced) while steady-state pulmonary gas exchanges, Q˙ (pulse-contour analysis), and skeletal muscle (vastus lateralis) oxygenation (near-infrared spectroscopy) were determined. MFO and the associated power output (FatMax) were calculated from pulmonary gas exchanges and stoichiometric equations. A counterweight (10.9 kg) was added to the contralateral pedal arm during 1L cycling. Leg lean mass was determined by DEXA. RESULTS The absolute MFO was 24% lower (0.31 ± 0.12 vs 0.44 ± 0.20 g·min-1, P = 0.018), whereas mass-specific MFO was 52% higher (28 ± 11 vs 20 ± 10 mg·min-1·kg-1, P = 0.009) during 1L than 2L cycling. FatMax was similar expressed as power output per leg (60 ± 28 vs 58 ± 22 W, P = 0.649). Q˙ increased more from rest to exercise during 1L than 2L cycling when expressed per active leg (ANOVA main effect: P = 0.003). Tissue oxygenation index and Δ[deoxy(Hb + Mb)] were not different between exercise modes (ANOVA main effects: P ≥ 0.587), indicating similar skeletal muscle fractional O2 extraction. CONCLUSIONS Mass-specific MFO is increased by exercising a small muscle mass, potentially explained by increased perfusion and more favorable conditions for O2 delivery than during whole-body exercise.
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Affiliation(s)
- Øyvind Skattebo
- Department of Physical Performance, Norwegian School of Sport Sciences, Oslo, NORWAY
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Filipas L, Martin K, Northey JM, La Torre A, Keegan R, Rattray B. Response to the letter to the editor regarding the article "A 4-week endurance training program improves tolerance to mental exertion in untrained individuals". J Sci Med Sport 2021; 24:1202-1203. [PMID: 34119397 DOI: 10.1016/j.jsams.2021.05.012] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Affiliation(s)
- Luca Filipas
- Department of Biomedical Sciences for Health, Università degli Studi di Milano, Italy; Department of Endocrinology, Nutrition and Metabolic Diseases, IRCCS MultiMedica, Italy.
| | - Kristy Martin
- Research Institute for Sport and Exercise, University of Canberra, Australia; Discipline of Sport and Exercise Science, Faculty of Health, University of Canberra, Australia
| | - Joseph M Northey
- Research Institute for Sport and Exercise, University of Canberra, Australia; Discipline of Sport and Exercise Science, Faculty of Health, University of Canberra, Australia
| | - Antonio La Torre
- Department of Biomedical Sciences for Health, Università degli Studi di Milano, Italy; IRCCS Istituto Ortopedico Galeazzi, Italy
| | - Richard Keegan
- Research Institute for Sport and Exercise, University of Canberra, Australia; Discipline of Sport and Exercise Science, Faculty of Health, University of Canberra, Australia
| | - Ben Rattray
- Research Institute for Sport and Exercise, University of Canberra, Australia; Discipline of Sport and Exercise Science, Faculty of Health, University of Canberra, Australia
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