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INTRODUCTION
Neuroprotection, once poorly understood, has now become a key strategy in addressing neurodegenerative disorders, particularly Parkinson’s Disease (PD). PD is the 2nd most common neurodegenerative disorder, has a significant and growing global impact. Its prevalence is approximately 160 per 100,000, but this increases markedly with age rising to around 1,000 per 100,000 in individuals over 60, about 550 at age 70, and up to 4,000 in those over 80 (Schapira, 2008; Postuma et al., 2015; Driver et al., 2009; Lau et al., 2006). The incidence also escalates with age, from a general range of 8-20 per 100,000 per year to 120 per 100,000 at age 70. PD affects men more and the ratio of male to female i.e 3:2, possibly due to estrogen's neuroprotective role. Currently, there are an estimated 6 million PD cases globally, a number expected to double by 2040 due to aging populations. The disease imposes a heavy burden, accounting for 3.2 million DALYs and over 200,000 deaths annually (Tysnes et al., 2017) (refer to Figure 1).
Modern therapeutic approaches for PD have evolved beyond symptomatic relief to include Disease Modifying Therapies (DMTs) that target the underlying causes of disease progression. These strategies span across multiple therapeutic areas, including neurology, infectious diseases, metabolic and respiratory disorders, and microbiome-related interventions, recognizing the role of the gut-brain axis in PD. A key focus has shifted toward neuroprotective and neuro-rescue approaches, which seek to intervene before neuronal death occurs, particularly in dysfunctional but still viable neurons. Although the concept of neuroprotection has faced challenges, such as high clinical trial failure rates, and complex implementation. It refers to any intervention that delays or prevents disease progression through neuronal protection, rescue, or restoration (Stocchi et al., 2003). Ideally, neuroprotection provides long-term benefits by modifying disease etiology or pathogenesis, ultimately delaying onset or clinical decline (Biglan et al., 2007).
This review attempts to cover studies that have been done over the last two decades related to PD and Neurodegeneration. It not only focuses on systematic reviews but also covers clinical studies. Topics addressed include pathophysiology of PD, genetic and environmental risk factors, limitations of current therapies with a mention on their respective clinical trials, emerging neuroprotective strategies and diagnostic biomarkers. Information involving secondary causes of PD, differential diagnosis that may interfere with correct diagnosis, different pre-clinical models and FDA approved drugs for management and treatment of PD are beyond the scope of this review. To help bridge the gap between the “unknown” to the “known” in the study of neurodegeneration. As initially submitted by American Academy of Neurology that concluded, “no treatment has been shown to be neuroprotective”, researchers can now respectfully refute this claim with sufficient evidence from reputable studies. This review paper bright to our attention the stark contrast between prior knowledge and the current updates and may help in guiding future experimental work and clinical aspects.
METHODOLOGY
A comprehensive literature review was conducted to examine the key pathological mechanisms involved in Parkinson’s disease. Relevant information was systematically collected from various scientific databases and sources, including Scopus, Web of Science, UGC CARE-listed journals, and other peer-reviewed scientific websites and publications. The collected literature was critically analyzed to identify consistent findings, emerging hypotheses, and recent advancements related to PD pathophysiology.
Key Findings
Pathophysiology of Parkinson’s Disease
PD involves the gradual loss of dopaminergic neurons in the SNpc, which critically impairs dopaminergic transmission in the striatum and underlies the hallmark motor symptoms, such as rigidity, tremor, bradykinesia, and postural instability. It also affects non-dopaminergic neurons, including noradrenergic, serotonergic, and cholinergic neurons (Jellinger, 2012 and Werner et al., 2020). Additionally, the peripheral nervous system including the olfactory bulb, mesenteric nervous system, and autonomic nerves is involved. The accumulation of Lewy bodies, intracellular aggregates containing α-synuclein and other proteins, is a pathological hallmark (Braak et al., 2000; Kovari et al., 2009). With the advancement of neurodegeneration in PD, patients often experience diverse non-motor manifestations such as cognitive impairment, mood disorders, autonomic irregularities, sleep-related issues, and sensory deficits. PD is defined as a multifactorial syndrome, influenced by genetic predispositions and environmental triggers, with overlapping biological mechanisms such as apoptosis, autophagy, mitophagy, ferroptosis, necrosis, and parthanatos (Target of Rapamycin [mTOR] poly [ADP-ribose] [PAR] polymerase-1 [PARP-1]) contributing to neuronal loss (Del Tredici et al., 2012; Olanow, 2007). This complexity underscores the heterogeneous and syndromic nature of the disease.
PD risk is influenced by metabolic and environmental factors via peripheral insulin resistance, promoting brain pathology and dopaminergic neuron degeneration. Vitamin D deficiency (hypovitaminosis D) has also been associated with increased neurodegeneration risk, with higher serum 25-hydroxy vitamin D levels linked to reduced PD incidence. Mitochondrial dysfunction, including reduced ATP production, membrane depolarization, and increased oxidative stress, plays a central role. The generation of ROS by enzymes like NADPH oxidase, iNOS, and MPO contributes to oxidative damage in PD brains, particularly in the substantia nigra. Iron accumulation in the SNpC amplifies ROS production via Fenton reactions, further exacerbating neuronal injury. Elevated pro-inflammatory cytokines and enzymes like COX-2 in dopaminergic neurons suggest a prominent role for neuroinflammation (Refer to Table 1).
| Mechanism of Pathogenesis | Role and/ or effect |
|---|---|
| Alpha syn mutations (also hallmark for PD pathogenesis) (Jellinger 2012 and Konnova et al., 2018) | - SNCA gene duplication/triplication causes familial PD. - Misfolding and aggregation form Lewy Bodies. - Defective clearance via endolysosomal system. |
| Neuroinflammation (Talene et al., 2009) | - Involves microglial activation, astrogliosis, and T-cell infiltration. - Selective for nigrostriatal pathway. - Plays a role in disease initiation and progression. |
| Mitochondrial and lysosomal malfunctions (Alwena et al., 2018; Haas 1995) | - Impaired mitochondrial biogenesis and ATP production. - Increased ROS, reduced calcium buffering. - Complex I and II/III deficiency observed in early PD. |
| Generation of Reactive Oxygen Species (ROS) (Schieber et al., 2014; Finkel 2011) | - Accumulate due to dopamine metabolism and iron overload. - Reduced glutathione in SN. - Promote oxidative stress and neuronal damage. |
| Autophagy (Poehler et al., 2014, Friedman et al., 2012; Dagda et al., 2009) | Impaired clearance of damaged organelles/proteins. - Linked to accumulation of dysfunctional mitochondria. |
| Defects in the mitophagy pathway (Gegg et al., 2010 and 2011) | - Mutations in PINK1 and PARKIN affect mitochondrial clearance. - Leads to build-up of damaged mitochondria. |
| Apoptosis (Tatton et al., 2003, Allain et al., 2008; Karbowski et al., 2010; Verdin et al., 2010; Wang et al., 2009) | - Involves caspase activation and cytochrome C release. - Triggered by mitochondrial depolarization and oxidative stress. |
| Excessive glutamatergic excitotoxicity (Rodriguez et al., 1998; Feger et al., 1997) | - Excessive NMDA receptor activation increases Ca²⁺ influx. - Enhances ROS production and neuronal death. - STN overactivity reinforces SNpc degeneration. -Excitotoxicity susceptibility increases when mitochondrial deficits, induced by mitochondrial dysfunction, cause loss of ATP-dependent magnesium blockade of N-Methyl-D-Aspartate (NMDA) receptors. |
| Proinflammatory changes (Hunot et al., 1999, Godoy et al., 2008, Mogi et al., 1994; Blum-Degen et al., 1995) | That leads to the production of ROS and/or induces the expression of iNOS, which may occur through the combined action of cytokines such as Interferon γ, TNF α, and IL 1 beta. COX 2 may also generate ROS |
| Gene mutation and polymorphisms | -mTOR gene deletion induces autophagy; α-syn overexpression impairs it. Genetic polymorphisms may influence inflammatory responses and drug effectiveness. |
| Blood Brain Barrier (BBB) function and Brain Capillaries (Brochard et al 2009; Farkas et al., 2000) | Infiltration of CD4+/CD8+ T cells near dopaminergic neurons. Increased endothelial cell density and microvascular changes. Microglia-derived ROS may trigger angiogenesis without BBB breakdown. |
| Viral Infections (Hisanaga et al., 2001) | May initiate neuroinflammation (e.g., postencephalitic parkinsonism, influenza). |
| Elevated iron levels (Mandel et al., 2003; Sian Hulsmann et al., 2010) | - Excess iron in glial cells → mitochondrial stress, ferroptosis, Lewy body formation. |
| Reduced Neutrophic Factors (NFs) (Bothwell et al., 2016; Siegel et al., 2000) | ↓ GDNF, CDNF, MANF, EPO, BDNF → dopaminergic neuron death. CDNF/MANF shown to protect and regenerate neurons in PD models. |
| Pre-synaptic Dysfunction (Nemani et al., 2010; Khan et al., 2023) | -α-syn disrupts synaptic vesicle recycling → early PD feature. |
| Monoamine Oxidase B activity (Jellinger 2017; Heikkila RE et al., 1984; Tong et al., 2017) | Elevated MAO-B in astrocytes → ROS production → DA neuron death. |
| Altered Calcium ion homeostasis (Guzman et al., 2010) | -Cav1.3 channels in DA neurons → excessive mitochondrial ROS → mtDNA damage. - |
| Loss of Glutathione (GSH) biomarker (Garrett et al., 2018) | -GSH depletion → oxidative stress → increased PD risk and neuron vulnerability. |
| Growth Stimulating Hormone levels (Ceda GP; Sun et al., 2005; Pellecchia MT et al., 2014) | -↓ IGF-1 linked to worse prognosis; may have neuroprotective roles. |
| Signalling Pathways: | Insulin/IGF-1 Pathway (Aguirre et al., 2016) Dysregulated in diabetes/metabolic syndrome; reduces neuroprotection. GH/IGF-1 Axis (Gubbi S et al., 2018) Age-related decline → risk for PD, AD, ALS, etc. Neurotrophic Factor Signalling (via Akt) Requires α-syn function; reduced Akt → impaired IGF-1 response. Serotonin Pathway 5-HT-mediated GH release impaired in PD. Chaperone-Mediated Autophagy (CMA) CMA dysfunction → α-syn accumulation → Lewy body formation. Ubiquitin-Proteasome Pathway Dysfunction leads to α-syn aggregation; PARKIN and UCHL-1 essential for recovery (Desplats et al., 2009). Fas-Fas Ligand Pathway T-cell-mediated neuronal apoptosis; Fas upregulated in PD (Ferrer et al., 2002). JNK Pathway Inhibition protects DA neurons; linked to COX-2 in PD (Tieu K et al., 2003). Gut-Brain Axis α-syn originates in gut, spreads via vagus nerve. Constipation, inflammation, and ↓ ghrelin linked to early PD (Fiszer et al., 2010). Mesocorticolimbic and Cholinergic Pathways α-syn deposits affect cognition; ↓ NE in prefrontal cortex. Kynurenine Pathway (KP) TRP metabolism imbalance → neurotoxic (QUIN) vs. neuroprotective (KYNA) effects (Dhivya et al., 2020). |
| Pathogenesis of decreased Motor Activity (George DeMaagd et al., 2015) | -DA loss → GPi/SNpc overactivity → GABA inhibition → ↓ thalamocortical stimulation. |
| Olfactory Dysfunction (Siderowf et al., 2005) | -Early Lewy pathology in olfactory bulb may signal PD onset. |
Genetic and environmental factors
Genome-Wide Association Studies (GWAS) have substantially enhanced insight into genetic predispositions underlying both idiopathic and familial PD. Mutations and polymorphisms in several key genes contribute to disease onset and progression (refer to Table 2) (Polymeropoulos et al., 1997; Yasuda et al., 2010; Rohn, 2012; Poole et al., 2008; Schapira et al., 1990 and Konnova et al., 2018).
| Gene | Role / Effect of Mutations |
|---|---|
| SCNA | Encodes α-synuclein; mutations lead to aggregation and Lewy Body (LB) formation. Found in autosomal dominant PD (Greek, Italian families). Therapeutic target. |
| LRRK2 | Identified in 2004 as a monogenic PD cause; impairs autophagy and lysosomal function. Autosomal dominant with variable penetrance. |
| PINK1 | Mutations disrupt mitochondrial quality control, causing dopaminergic neuron dysfunction. |
| PARKIN (PRKN) | Regulates mitochondrial dynamics. Most common gene mutated in Early-Onset PD (EOPD). Accounts for 50% of familial, 20% of idiopathic EOPD cases. |
| DJ-1 (PARK7) | Functions as oxidative stress sensor. Mutations compromise cellular defense mechanisms. |
| GBA | Mutations cause Gaucher’s disease. Strong PD risk factor due to impaired lysosomal function. Associated with mitochondrial dysfunction. |
| POLG1 | Encodes mtDNA polymerase; mutations lead to mtDNA deletions, myopathy, neuropathy, and Parkinsonian features. |
| HMOX1 | Encodes stress-response protein; variants linked to increased PD susceptibility under oxidative stress. |
| c-Abl | Tyrosine kinase; inactivates PARKIN via phosphorylation, promoting oxidative stress and impaired proteostasis. |
| JNK (c-Jun N-terminal Kinase) | Activates apoptosis in DA neurons; associated with COX-2 in PD pathology. |
| mTORC1 | Senses nutrients/energy; promotes neuronal survival. Activation improves motor function in PD models. |
| Omi/HtrA2 | Mitochondrial serine protease; mutations impair oxidative stress response, linked to sporadic PD. |
| Neuroinflammatory Genes | TNF-α (psn -308), IL-1β (psn -511), IL-6 (psn -174) variants increase PD risk via pro-inflammatory signalling. |
| EIF4G1 | Enhances mRNA translation under oxidative stress; linked to sporadic and familial PD. |
| SOD2 | Converts superoxide to H2O2; mutation reduces mitochondrial antioxidant capacity. |
| VPS35 | Identified D620N mutation in autosomal dominant late-onset PD; involved in retromer trafficking. |
| PITX3 | Transcription factor essential for dopaminergic neuron development. SNP rs2281983 linked to EOPD; rs4919621 more frequent in EOPD vs. LOPD. |
| Other Transcription Factors | Nurr1, EN1, SHH, c-Rel: regulate dopaminergic neuron development and survival. |
| ATG5 / ATG7 | Key autophagy genes; mutations impair clearance of damaged proteins/organelles, contributing to PD. |
| Kynurenine Pathway (KP) Genes | Mutations in KMO and ACMSD affect TRP metabolism. ACMSD SNPs identified in both familial and sporadic PD (e.g., p.Trp26*, p.Glu298Lys). |
| Familial Mutations | Autosomal Dominant: SNCA, LRRK2, VPS35, RAB39B, TMEM230. Autosomal Recessive: PARKIN, PINK1, DJ-1, ATP13A2, PLA2G6, FBXO7, DNAJC6, SYNJ1. Also includes mitochondrial Complex I mutations. |
Epidemiological studies and/or environmental factors play a role in increasing the risk of PD (Anthony et al., 2009). The former demonstrates that in calcium homeostasis, enhanced entry into Substantia Nigra pars Compacta (SNpC) neuronal cells have been associated with heightened oxidative damage, impaired mitochondrial function, and neurodegeneration (Sulzer et al., 2013; Ilijic et al., 2011). These studies, despite lacking definitive proof, also indicate overwork, exposure to coldness, inflexible personality, stress, trauma, rural living, well water consumption, and exposure to environmental toxins increase the risk of developing PD (Koller et al., 1990) and these results validate the involvement of neuroinflammatory mechanisms in the advancement of PD.
Limitations of Current Therapies
L-Dopa is the primary symptomatic therapy since 1960s. Despite its limitations of the “wearing off” effect 5 years after initiation of treatment, which may occur in 30-40% of patients, and disabling dyskinesia in about 50% or the “on-off” phenomenon with the development of other features that do not respond to it, like freezing, dementia, autonomic disturbances and postural instability, and 20%-30% of PD patients ceasing it as evidenced by drug intervention trials, it remains as the basis for dopaminergic symptomatic treatment as it is a DA precursor, and biochemically, degeneration of nigrostriatal neurons is associated with a decline in striatal DA. This is because a comparison was made with dopamine agonists, and it was found that L-Dopa has rich pharmacology and forms DA that stimulates D1-D5 receptors. Moreover, a portion of Dopamine (DA) is converted to Noradrenaline (NA). L-Dopa not only contributes to DA synthesis but may also displace serotonin (5-HT) from serotonergic neurons, influence glutamate release, and potentially function as an amino acid neuromodulator in its own right. In contrast, dopamine agonists such as ropinirole and pramipexole selectively target post-synaptic D2/D3 receptors. Interestingly, evidence suggests that while DA agonists may prime the basal ganglia for dyskinesia, the manifestation of dyskinetic symptoms typically emerges only after the introduction of L-Dopa (Biglan et al., 2007). Supporting findings from clinical trials such as DATATOP, ELLDOPA, and TEMPO continue to affirm the cautious yet strategic initiation of L-Dopa therapy. Early restoration of basal ganglia function is believed to enhance compensatory mechanisms and potentially delay irreversible neurocircuitry alterations characteristic of Parkinson’s disease progression. As such, L-Dopa remains a compelling therapeutic option, offering the potential for sustained clinical benefits when introduced at an appropriate stage of disease management.
Emerging Neuroprotective Strategies
Targeting Mitochondrial Dysfunction and Modulating Neuroinflammation
Neuroprotective strategies in PD target multiple mechanisms involved in dopaminergic neuronal loss. Monoamine oxidase B inhibitors like selegiline, safinamide, and rasagiline reduce dopamine catabolism, limit oxidative stress, and show anti-apoptotic properties independent of MAO-B inhibition. Dopamine agonists such as pramipexole, ropinirole, and apomorphine not only mimic dopamine action but may also reduce oxidative damage and excitotoxicity while providing symptomatic relief with fewer motor complications. Anti-apoptotic agents, including TCH346 and CEP-1347, prevent programmed neuronal death by stabilizing mitochondrial membrane potential and inhibiting key apoptotic mediators. Anti-excitotoxic agents like amantadine and memantine reduce glutamate-mediated excitotoxicity in overactive brain regions such as the subthalamic nucleus, helping to mitigate levodopa-induced dyskinesias. Strategies enhancing mitochondrial biogenesis and bioenergetics, such as the use of resveratrol, PPAR-γ agonists, creatine, and CoQ10, aim to restore mitochondrial function and energy production, vital for neuron survival (refer to Table 3) (McFarthing et al., 2020 and Biglan et al., 2007).
| Category | Aim / Mechanism | Key Targets / Pathways | Examples |
|---|---|---|---|
| Monoamine Oxidase B Inhibitors (MAO-B-I) | Inhibit DA catabolism; reduce oxidative stress and prevent MPTP → MPP⁺ conversion; anti-apoptotic effects. | MAO-B, ROS, SOD, Catalase, BCL-2, GAPDH | Selegiline, Rasagiline, Safinamide, Lazabemide, BTS 74-398. |
| Dopamine Agonists | Stimulate DA receptors; ↓ ROS and STN excitotoxicity; ↑ endogenous antioxidant defenses. | D1, D2, D3, Glutathione, SOD, Catalase, Iron, Lipid peroxidation. | Pramipexole, Ropinirole, Apomorphine, Pergolide, Bromocriptine, Cabergoline, Aplindore, Pardoprunox. |
| Anti-Apoptotic Agents | Prevent programmed cell death pathways; stabilize mitochondria; block nuclear GAPDH translocation. | BCL-2, SOD, GAPDH, Caspases, MLK pathway. | Selegiline, DMD, Rasagiline, TVP1022, TCH346, CEP-1347 |
| Anti-Excitotoxic Agents | Block excitatory glutamate transmission (NMDA or mGluR); protect STN and downstream nuclei from overexcitation. | NMDA receptors, mGluRs, Na⁺ channels (for glutamate release). | Amantadine, Memantine, Riluzole, Remacemide, Mavoglurant, AFQ-056 |
| Mitochondrial Biogenesis and Bioenergetics | Enhance mitochondrial function and biogenesis through PGC-1α/SIRT1; restore energy metabolism via bioenergetics. | PGC-1α, SIRT1, PPAR-γ, NAD⁺, Complex I, ATP synthesis. | Rosiglitazone, Pioglitazone, Bezafibrate, Resveratrol, MitoQ, Creatine, CoQ10, Nicotinamide. |
| Antioxidants | Scavenge ROS/RNS; protect cells via direct or indirect antioxidant activity. | ROS, RNS, SOD, Catalase, Selenium, Free Radicals, Uric Acid. | CoQ10, Vitamin E, Uric Acid, Inosine, Ginkgo Biloba, Lipoic acid, Acetyl-carnitine, Riboflavin. |
Alpha-synuclein Targeting Therapies
Therapeutic strategies targeting α-synuclein in PD aim to reduce its production, enhance its clearance, prevent its aggregation, and minimize chemical modifications that promote its toxic forms. One major approach is to reduce α-syn synthesis using gene interference technologies such as siRNAs or Antisense Oligonucleotides (ASOs), e.g. Ionis and Biogen’s ASOs, AmNA-ASO, and Synucleozid, a compound modulating 5′ UTR of α-syn mRNA. To increase α-syn clearance, therapies focus on activating lysosomal or proteasomal degradation pathways. Agents like Cathepsin D, Ambroxol, and LTI-291 (a GBA stimulator) and Venglustat (a sphingolipid synthesis inhibitor) support lysosomal function. Enhancing chaperone activity through proteins like HSP70 and drugs like geldanamycin, or inhibiting SCD enzymes via YTX-7739, can further facilitate degradation.
Another key therapeutic direction is immunotherapy, which targets extracellular toxic α-syn species. This includes passive immunization (like PRX002, BIIB-054, and MEDI-1341) and active immunization (like PD01A, UB-312, or DNA-based vaccines like AV-1950D). These strategies aim to clear pathological α-syn and prevent its spread. Vehicles such as ApoB and glucan microparticles with rapamycin have been explored for delivery across the blood-brain barrier. Further, therapies aim to disrupt membrane interactions or aggregation of α-syn using peptide inhibitors, chaperone-like proteins (e.g., 14-3-3, β-syn), or small molecule inhibitors such as UCB-0599, Anle138b, ENT-01, and CLR01 (refer to Table 4).
| Category | Therapeutic Strategy | Mechanism | Example(s) |
|---|---|---|---|
| α-Synuclein Directed Therapies | a) Reduce α-syn Synthesis | Gene interference via siRNAs or ASOs | - Ionis/Biogen ASOs- Human SNCA-ASOs- AmNA-ASO |
| Modulation of 5′ UTR of α-syn mRNA | - Synucleozid | ||
| Drug repurposing | - Salbutamol (asthma drug) | ||
| b) Enhance α-syn Clearance | Boost lysosomal/proteasomal activity | - Cathepsin D- Ambroxol- LTI-291- Venglustat | |
| Promote chaperone function | - HSP70- Geldanamycin | ||
| PARKIN/UCH-L1 augmentation | Experimental | ||
| Inhibit oleic acid and SCD activity | - YTX-7739 | ||
| Immunotherapy (active/passive) | - PD01A, PD03A- Prasinezumab (PRX002)- BIIB-054 (Cinpanemab)- UB-312- LuAF82422- MEDI-1341- AV-1950D | ||
| Immunization with siRNA or antigenic peptide | - AFFITOPE-based vaccines | ||
| Delivery systems to BBB | - ApoB-linked oligonucleotides- GP + Rapamycin | ||
| c) Inhibit Aggregation | Peptide/small molecule inhibitors blocking self-association | - β-syn, 14-3-3 proteins- UCB-0599/NPT200-11- ENT-01- Anle138b- EGCG (Epigallocatechin Gallate)- CLR01- PBT434 | |
| d) Prevent Modifications | Antioxidants and Kinase inhibitors | Investigational |
Neurotrophic Factors and Growth Agents
Gene and targeted therapies aim to correct mutations in genes like PINK1, PARKIN, and DJ-1, while restorative therapies involve neurotrophic factors such as GDNF and CDNF, and stem cell transplantation to regenerate dopaminergic neurons. Adenosine A2a receptor antagonists like Istradefylline enhance dopamine signalling and offer neuroprotection. Neuroimmunophilins, including Rapamycin and FK506, support neuronal growth by modulating protein synthesis. Other strategies target calcium homeostasis (e.g., Isradipine), iron overload (e.g., Deferiprone), and critical signalling pathways. These include insulin signalling through GLP-1 agonists, gut-brain axis modulation via ghrelin, kynurenine pathway adjustments for neurotransmission, and antioxidant defense via KEAP1-NrF2 activation.
Gene Therapy Approaches
In Gene Therapy, a possible source of treatment may come from overexpression of autosomal recessive genes, where loss of function is linked to PD, supported by a study reporting overexpression of PRKN via γAA2 vectors had protective effects in the striatum of γ AAV-α-syn-treated Non-Human Primates. Gene therapy may lead to knowledge on “precision medicine” for subtypes of PD, and this may change treatment methods, allowing for new therapy approach, albeit constant revision of the methodology involved with criteria for efficacy and safety issues being addressed before application to humans like ability to drive expression of a therapeutic gene in adequate number of cells, maintenance of long-term expression and allow exogenous control over the transgene product with considerations that gene therapy may not replace symptomatic treatment (Pavese et al., 2009). The vaccine paradigm is supported by evidence that general immune stimulation in the periphery can attenuate harmful microglial responses to neuronal injury, potentially exerting neuro-restorative effects (refer to Table 5).
| Therapeutic Approach | Target | Mechanism | Examples |
|---|---|---|---|
| 1. Gene Therapy / Targeted Therapy | PINK1 / PARKIN | PINK1 activators (neo substrates), cell-permeable PARKIN protein. | 9-Methyl Kinetin, CV-O6 |
| DJ-1 | Pharmacological chaperone | CB101 | |
| HMOX1 | Inhibition of oxidative stress | AZ-001 | |
| GBA gene | Linked to α-synuclein pathways | — | |
| AAV-Neurturin | Neurotrophic delivery | — | |
| 2. Restorative Therapy | Neurotrophic Factors (NFs) | Enhances DA neuron survival, gene therapy delivery. | GDNF (AGT-190, BT-13), CDNF (NCT03295786), EPO (AGT-115), BDNF (MP201), MANF (AMRS-001), SR57667B, AMG-474 |
| Transplantation | Neural stem cells to replace degenerated neurons. | Neural stem cells | |
| 3. Adenosine (A2a) Receptor Antagonists | A2a receptor blockade | Enhances DA signaling, neuroprotection in non-DA areas. | Istradefylline, Preladenant, V81444, Tozadenant, ST 1535, PBF-509, ST 4203 |
| 4. Neuroimmunophilins | FK-binding proteins | Modulate 4E-BP, reduce protein synthesis, DA neuron growth. | Rapamycin, Cyclosporine, FK506, GPI-1046, GPI-1485 |
| 5. Calcium Homeostasis | L-type Ca²⁺ channel blockade | Aimed at Cav1.3 channels, modulating cellular calcium. | Isradipine |
| 6. Iron Overload | Iron chelation | Targets elevated iron in PD pathology. | Deferiprone, Phytic acid (IP6) |
| 7. Signaling Pathways | Insulin Signaling | Repurposing T2DM drugs, activates neurotrophic pathways. | Exenatide (PT302), Lixisenatide, Liraglutide, Semaglutide |
| Gut-Brain Axis | Elevate AG:UAG ratio, ghrelin crossing BBB and binding GHSR. | AG strategies to increase bioavailability | |
| Kynurenine Pathway | KYNA analogs, enzyme inhibitors modulating neurotransmission. | FK506, UPF648, Ro-61-8048 | |
| KEAP1-NrF2 Pathway | Antioxidant defense and autophagy modulation. | KKPA4026 |
Cell Replacement Therapies
Emerging cellular strategies such as iPSC-derived midbrain organoids and cell culture models provide robust, ethical, and personalized platforms to study PD pathology, such as dopaminergic degeneration and α-synuclein accumulation. Transplantation therapies, while promising in restoring dopamine function through implanted neurons, face safety issues like graft-induced dyskinesia and ethical controversies surrounding fetal tissue use. Adenosine A2a receptor antagonists offer symptomatic improvement and are generally safe, but they do not modify disease progression. Meanwhile, cell replacement therapies using stem cells (like MSCs or iPSCs) hold regenerative potential but are shadowed by risks of tumorigenesis, immune reactions, and ethical debate, particularly concerning embryonic sources (Lohle et al., 2010) (refer to Table 6).
| Strategy | Description / Discovery | Uses / Mechanism | Advantages | Limitations / Disadvantages | Safety and Ethical Challenges | Examples |
|---|---|---|---|---|---|---|
| Cell Culture Models and Midbrain Organoids | Use of patient-derived iPSCs to generate DA neurons and 3D midbrain organoids. | Models PD pathology, α-syn aggregation, neuron-glia interaction in vitro. | Human-specific models; cost-effective; avoids animal use; supports personalized research. | Protocol variability; lacks behavioral phenotype modeling; scalability concerns. | Generally safe; minimal ethical concerns due to use of patient-derived cells. | iPSC-derived DA neurons, midbrain organoids |
| Transplantation Therapy | Implantation of fetal nigral cells or stem cell-derived neurons into striatum. | Replace lost neurons, restore dopamine function, induce behavioral recovery. | Long-term DA production; reinnervation observed in animal/human trials. | Mixed clinical outcomes; off-medication dyskinesia; immunosuppression needed. | Ethical issues with fetal tissue; tumor risk with pluripotent cells; long-term rejection concerns. | Fetal nigral transplants, neural stem cells, ES cell-derived DA neurons |
| Adenosine A2a Receptor Antagonists | Target basal ganglia output to reduce overactive indirect pathway signaling. | Adjunct to L-Dopa; improve motor symptoms; reduce “off” time. | Oral agents; improve motor response without worsening dyskinesia. | No disease modification; psychiatric side effects in some patients. | Low ethical risk; adverse events like hallucinations or insomnia require monitoring. | Istradefylline |
| Cell Replacement Therapies | Transplantation of MSCs, iPSCs, or neural stem cells to replace lost DA neurons. | Regenerative strategy aimed at restoring DA circuits and function. | Self-renewal capacity; can be patient-specific (autologous); potential long-term benefit. | Graft variability; risk of uncontrolled growth or misdifferentiation. | Tumorigenesis, immune rejection; ethical debate with embryonic sources. | iPSC-derived neurons, MSCs, neural progenitor cells |
Biomarkers and Early Diagnosis
Pre-synaptic dopaminergic imaging biomarkers are used to assess the functional integrity of the dopaminergic neurons, particularly within the nigrostriatal pathway. Among these, 6-[¹⁸F]-Fluoro-L-Dopa (FD) PET is widely used to measure dopamine synthesis capacity. While FD PET is effective for tracking disease progression, it may underestimate neuronal loss in early-onset PD (EOPD) due to compensatory upregulation of enzymes like AADC. Dopamine Transporter (DAT) imaging using SPECT or PET is another sensitive technique for detecting early dopaminergic terminal loss. However, its diagnostic utility in EOPD may be confounded by compensatory DAT downregulation and pharmacological influences from treatment. Vesicular monoamine transporter 2 imaging using [¹¹C]-Dihydrotetrabenazine (DTBZ) PET provides a stable measure of presynaptic dopaminergic integrity and is less affected by acute pharmacological changes, though alterations in vesicular dopamine levels may influence binding. FMT PET is another tracer that behaves similarly to FD but is less metabolized and has limited availability.
Post-synaptic dopaminergic imaging markers are focused on dopamine receptor availability (D1, D2, D3) in the striatum and other brain regions. Commonly used tracers include [¹¹C]-raclopride for PET and [¹²³I]-IBZM for SPECT, which help assess receptor binding changes due to dopamine deficiency. In EOPD, an upregulation of D2 receptors is commonly observed, reflecting compensatory responses. However, receptor binding can vary with age, disease stage, and chronic dopaminergic therapy, which can complicate interpretation. Ligands like [¹⁸F]-fallypride and [¹¹C]-FLB-457 allow for higher affinity imaging of extrastriatal receptors, offering more detailed insights into dopaminergic dysfunction.
Markers of neuroinflammation, such as [¹¹C]-PK11195 PET, target activated microglia and provide in vivo evidence of inflammatory processes contributing to PD pathogenesis. Elevated binding has been reported in the basal ganglia, pons, and cortical regions of PD patients (Star et al., 2014; Song et al., 2017).
Clinical Trials Landscape
In clinical research, ontology was introduced in neurodegenerative conditions to define reality and create standardized frameworks relevant to PD drug development (Lee et al., 2021; Miranda et al., 2012; Voss et al., 2008). The lack of benefit of non-symptomatic drugs over placebo may not reflect absence of neuroprotection but rather failure to “readjust” basal ganglia compensation or translation gaps between preclinical and clinical studies (Devos et al., 2020). Better understanding of dopamine system biology at behavioral and cellular levels could foster hypothesis-driven research and translational infrastructure integrating pathogenesis, epidemiology, and genetics. However, the brain’s inaccessibility for in vivo neuronal counts limits clinical tools for monitoring neuroprotection, and no accepted criteria for disease-modifying effects exist (Lee et al., 2000). Some reported benefits were confounded by symptomatic or pharmacological effects (Hart et al., 2009). Patient selection is critical. Efforts to involve the PD community in clinical trials enhance awareness and participation (Lee et al., 2021). Yet, early PD populations may already be too advanced, and differential diagnosis complicates inclusion of EOPD and other parkinsonisms. Prodromal markers and gene-positive carriers, such as LRRK2 G2019S, may allow earlier or stage-specific trials assessing both motor and non-motor outcomes.
Trial design and sample size also pose challenges. Large cohorts are needed to detect modest effects and offset dropouts, though differential attrition complicates randomization. Delayed-start designs attempt to distinguish symptomatic from disease-modifying effects but face limitations, including wash-in/wash-out confounds and ethical concerns. The ADAGIO trial was the first to show a positive delayed-start result, though interpretation remained uncertain (Anthony et al., 2009). Futility designs, adapted from cancer and stroke research, efficiently screen out ineffective agents with small samples, historical controls, and one-sided testing, but lack power to confirm disease modification. Outcome measures remain problematic: UPDRS is subjective and treatment-sensitive, while alternatives like composite outcomes, imaging biomarkers (FDOPA PET, β-CIT SPECT), and patient-reported scales (PDQ-39, MoCA, NMSS, DRS-2) each have limitations.
Further barriers include misdiagnosis (up to 15% with normal dopaminergic imaging), inconsistent statistical handling, and inadequate reporting transparency. Post-mortem studies show mixed neuroinflammation, while in vivo biomarkers support oxidative stress (3-nitrotyrosine). FD PET suggests a 6-year preclinical phase of dopaminergic loss. Initiatives like AMP-PD and PPMI aim to refine biomarkers and trial design. Novel designs, e.g., Multi-Arm, Multi-Stage (MAMS), allow simultaneous testing of multiple candidates. Lessons from transplantation trials, where off-medication dyskinesias emerged, highlight the need for rigorous placebo controls. Despite challenges, progress continues through repurposed therapies, cell-based approaches, and trial resources (Mirza et al., 2000).
Rethinking the Paradigm: From Disease Modification to Prevention
There is a growing shift in PD research from focusing solely on disease modification to actively pursuing strategies for prevention. Central to this evolving paradigm is the identification of the prodromal phase of PD, an early window of opportunity where non-motor symptoms and biomarkers may precede clinical diagnosis by years. Intervening during this phase could delay or prevent the onset of motor symptoms. In parallel, lifestyle interventions such as regular physical activity and a neuroprotective diet rich in antioxidants and anti-inflammatory components have shown promise in slowing disease progression and reducing risk. Furthermore, modifying known risk factors, such as managing diabetes, correcting vitamin D deficiency, and restoring gut microbiome balance, offers potential avenues to reduce neurodegenerative vulnerability. Together, these strategies support a more proactive and preventive approach to PD, emphasizing early detection, personalized intervention, and holistic care.
Future Directions and Recommendations
Future directions in PD research and treatment emphasize the transition toward more personalized and integrative approaches. Precision medicine, guided by patient stratification based on genetic, molecular, and clinical profiles, offers the potential to tailor interventions for improved efficacy and reduced side effects. Alongside this, multi-targeted combination strategies are gaining prominence, aiming to simultaneously address various pathological mechanisms such as mitochondrial dysfunction, oxidative stress, neuroinflammation, and alpha-synuclein aggregation. Collaborative efforts across disciplines, including neurology, immunology, genomics, and biotechnology, are essential to drive innovation and translate laboratory findings into clinical applications. Furthermore, policy and funding reforms are crucial to support high-risk, high-reward research, enabling the development and implementation of transformative disease-modifying therapies. Together, these directions reflect a shift from managing symptoms to modifying disease progression and ultimately improving quality of life for individuals with PD.
CONCLUSION
This review not only explores neuroprotection in Parkinson’s Disease (PD) but also highlights the significant milestones achieved in understanding and managing neurodegenerative disorders. What was once deemed an unattainable goal, disease modification is now increasingly viable, including in PD. Advances in research, clinical care, and health infrastructure have transformed the outlook for neurodegenerative diseases. Evidence supports that PD is heterogenous in nature with the major factors causing neuronal loss aforementioned, from the major causes like alpha-synuclein accumulation, mitochondrial dysfunction, oxidative stress and chronic neuroinflammation amongst others and the availability of different treatment approaches. There are better ways to improve the livelihood of People living with Parkinsons (PwPs) who are now capable of understanding their situation and are in a better position to advocate for themselves, their caregivers may also be at a better position of understanding their needs and keen to notice changes and provide better care and medical staff being at a better position, especially in diagnosis of the prodromal phase without the assumption of normal aging, requesting for proper diagnostic procedure and giving proper advice as needed. The future no longer appears daunting. In the case of PD, patients, healthcare professionals, researchers, policymakers, and the pharmaceutical industry have all contributed to breaking the status quo. Today, we can move forward with renewed optimism and greater clarity and the stereotypical negative attitude towards aging can be changed and embraced with a more positive approach.
