From Analysis:
Mitochondrial transfer between astrocytes and neurons
Mitochondrial transfer between astrocytes and neurons
These hypotheses emerged from the same multi-agent debate that produced this hypothesis.
Molecular Mechanism and Rationale
The growth-associated protein 43 (GAP43) represents a critical nexus in neuronal plasticity and cytoskeletal dynamics, making it an ideal candidate for enhancing intercellular mitochondrial transfer mechanisms. GAP43 is a membrane-associated phosphoprotein that localizes primarily to growth cones and presynaptic terminals, where it regulates actin polymerization through its interaction with calmodulin and protein kinase C (PKC). In the context of tunneling nanotube (TNT) stabilization, GAP43's mechanism involves multiple interconnected pathways that collectively enhance the structural integrity and functional capacity of these intercellular conduits.
AlphaFold predicted structure available for P17677
View AlphaFold StructureThe transfer of intact mitochondria between heterogeneous cell types has been confirmed in various settings, including cancer. However, the functional implications of mitochondria transfer on tumor biology are poorly understood. Here we show that mitochondria transfer is a prevalent phenomenon in glioblastoma (GBM), the most frequent and malignant primary brain tumor. We identified horizontal mitochondria transfer from astrocytes as a mechanism that enhances tumorigenesis in GBM. This transfer is dependent on network-forming intercellular connections between GBM cells and astrocytes, which are facilitated by growth-associated protein 43 (GAP43), a protein involved in neuron axon regeneration and astrocyte reactivity. The acquisition of astrocyte mitochondria drives an increase in mitochondrial respiration and upregulation of metabolic pathways linked to proliferation and tumorigenicity. Functionally, uptake of astrocyte mitochondria promotes cell cycle progression to proliferative G2/M
In the post-genomic era, the goal of personalized medicine is to determine the correlation between genotype and phenotype. Developing high-throughput genotyping technologies such as genome-wide association studies (GWAS) and the 1000 Genomes Project (http://www.internationalgenome.org/about/#1000G_PROJECT) has dramatically enhanced our ability to map where changes in the genome occur on a population level by identifying millions of single nucleotide polymorphisms (SNPs). Polymorphisms, particularly those within the coding regions of proteins and at splice junctions, have received the most attention, but it is also now clear that polymorphisms in the non-coding regions are important. In these non-coding regions, the enhancer and promoter regions have received the most attention, whereas the 3'-UTR regions have until recently been overlooked. In this review, we examine how SNPs affect microRNA-binding sites in these regions, and how mRNA stability changes can lead to disease pathogenesis
Right aortic arch with aberrant left subclavian artery (RAA/aLSCA) is a rare aortic arch anomaly. The clinical association of aLSCA stenosis with RAA/aLSCA has not yet been fully elucidated. The aim of this study was to investigate the diagnosis, incidence, management and outcome of aLSCA stenosis in infants with prenatally diagnosed RAA/aLSCA. Ten fetuses who were diagnosed as having RAA/aLSCA in Kyushu University Hospital between January 2011 and December 2014 were enrolled. The maternal and child medical records were reviewed to investigate sex, gestational age at the fetal diagnosis, gestational age and body weight at birth, the findings of computed tomography (CT), Doppler ultrasonography of the vertebral artery and angiography, and the complications and outcomes of aLSCA stenosis. In 8 of 10 patients, aLSCA stenosis was identified on the first CT examination after birth. No patients had dysphagia or respiratory distress. The stenosis spontaneously resolved in 3 patients. In 4 of
Recent data have provided important clues about the molecular mechanisms underlying certain retinal degenerative diseases, including retinitis pigmentosa and age-related macular degeneration. Photoreceptor cell degeneration is a feature common to these diseases, and the death of these cells in many instances seems to involve the closely associated retinal pigment epithelial (RPE) cells. Under normal circumstances, both cell types are subject to potentially damaging stimuli (e.g. sunlight and high oxygen tension). However, the mechanism or mechanisms by which homeostasis is maintained in this part of the eye, which is crucial for sight, are an unsolved riddle. The omega-3 fatty acid family member docosahexaenoic acid (DHA), which is enriched in these cells, is the precursor of neuroprotectin D1 (NPD1). NPD1 inhibits oxidative-stress-mediated proinflammatory gene induction and apoptosis, and consequently promotes RPE cell survival. This enhanced understanding of the molecular basis of en
BACKGROUND: Primary vitreoretinal lymphoma (PVRL), a subset of primary central nervous system lymphoma (PCNSL), is a high-grade malignant tumor that shows various chorioretinal findings. Optical coherence tomography (OCT) is useful for detecting these lesions, and various abnormalities on OCT images have been reported. The purpose of this report was to investigate retrospectively the OCT manifestations of various disease stages and compare the manifestations of pretreatment, recurrent, and chronic cases. METHODS: We reviewed the medical charts and OCT images of 38 consecutive cases with PVRL. When abnormalities were detected on OCT images, the patients were classified based on the treatment of the primary disease: pretreatment if not treated, recurrent if treated previously, and chronic when chronic changes. RESULTS: Twenty-six eyes (20 cases) had abnormalities in the post-pole OCT images, i.e., 16 eyes (12 cases) were in the pretreatment group, seven eyes (five cases) were in the recu
Apolipoprotein A-I (Apo A-I) is a major component of high density lipoproteins (HDL) that transport cholesterol in circulation. We have constructed an expression plasmid encoding a chimeric molecule encompassing interleukin-15 (IL-15) and Apo A-I (pApo-hIL15) that was tested by hydrodynamic injections into mice and was co-administered with a plasmid encoding the sushi domain of IL-15Rα (pSushi) in order to enhance IL-15 trans-presentation and thereby bioactivity. The pharmacokinetics of the Apo A-I chimeric protein were much longer than non-stabilized IL-15 and its bioactivity was enhanced in combination with IL-15Rα Sushi. Importantly, the APO-IL-15 fusion protein was incorporated in part into circulating HDL. Liver gene transfer of these constructs increased NK and memory-phenotype CD8 lymphocyte numbers in peripheral blood, spleen and liver as a result of proliferation documented by CFSE dilution and BrdU incorporation. Moreover, the gene transfer procedure partly rescued the NK and
It has been suggested that cerebral cortex arealization relies on positional values imparted to early cortical neuroblasts by transcription factor genes expressed within the pallial field in graded ways. Foxg1, encoding for one of these factors, previously was reported to be necessary for basal ganglia morphogenesis, proper tuning of cortical neuronal differentiation rates, and the switching of cortical neuroblasts from early generation of primordial plexiform layer to late production of cortical plate. Being expressed along a rostral/lateral(high)- to-caudal/medial(low) gradient, Foxg1, moreover, could contribute to shaping the cortical areal profile as a repressor of caudomedial fates. We tested this prediction by a variety of approaches and found that it was correct. We found that overproduction of Cajal-Retzius neurons characterizing Foxg1-/- mutants does not arise specifically from blockage of laminar histogenetic progression of neocortical neuroblasts, as reported previously, but
The dysregulation of intracellular calcium levels is a critical factor in neurodegeneration, leading to the aberrant activation of calcium-dependent processes and, ultimately, cell death. Ca2+ signals vary in magnitude, duration, and the type of neuron affected. A moderate Ca2+ concentration can initiate certain cellular repair pathways and promote neuroregeneration. While the peripheral nervous system exhibits an intrinsic regenerative capability, the central nervous system has limited self-repair potential. There is evidence that significant variations exist in evoked calcium responses and axonal regeneration among neurons, and individual differences in regenerative capacity are apparent even within the same type of neurons. Furthermore, some studies have shown that neuronal activity could serve as a potent regulator of this process. The spatio-temporal patterns of calcium dynamics are intricately controlled by a variety of proteins, including channels, ion pumps, enzymes, and variou
BACKGROUND: Ischemic stroke is a common cerebrovascular disease characterized by high incidence, disability, mortality, and recurrence. The limitations of current pharmacological treatments, which have primarily single neuroprotective action and a narrow therapeutic time window, lead to unsatisfactory therapeutic efficacy. Activation of autophagy can facilitate neural regeneration. OBJECTIVE: To clarify whether salidroside can promote axonal sprouting through autophagy resulting in protecting neurons. METHODS: In vivo, a Middle Cerebral Artery Occlusion/reperfusion (MCAO/IR) model was used, and in vitro, an Oxygen-Glucose Deprivation/Reoxygenation (OGD/R)-induced primary neuronal cell model was employed to evaluate the neuroprotective effects of salidroside. BDA neurotracer, immunofluorescence, and Western blot (WB) were utilized to determine its impact on axonal sprouting and the levels of related proteins (MAP2, GAP43, and PSD-95). Proteomics, transmission electron microscopy (TEM),
OBJECTIVE: Sympathetic remodeling after myocardial infarction (MI) is the primary cause of ventricular arrhythmias (VAs), leading to sudden cardiac death (SCD). M1-type macrophages are closely associated with inflammation and sympathetic remodeling after MI. Long noncoding RNAs (lncRNAs) are critical for the regulation of cardiovascular disease development. Therefore, this study aimed to identify the lncRNAs involved in MI and reveal a possible regulatory mechanism. METHODS AND RESULTS: M0- and M1-type macrophages were selected for sequencing and screened for differentially expressed lncRNAs. The data revealed that lncRNA LOC100911717 was upregulated in M1-type macrophages but not in M0-type macrophages. In addition, the lncRNA LOC100911717 was upregulated in heart tissues after MI. Furthermore, an RNA pull-down assay revealed that lncRNA LOC100911717 could interact with growth-associated protein 43 (GAP43). Essentially, immunofluorescence assays and programmed electrical stimulation d
Although many issues remain unresolved, the past year has witnessed a number of advances in our understanding of the inter-relationships between extracellular influences, cell phenotype, growth associated proteins, second messengers, and cytoskeletal components in the control of neurite outgrowth and growth cone behavior. Some of the early events associated with process initiation have been tentatively identified, and more is known about the assembly and stabilization of the microtubular framework of growing neurites. The mechanical forces involved in neurite extension have begun to be quantified, and interactions between the actin and microtubule systems are being further characterized. The current data more strongly support a functional role for GAP-43 in control of motility. The data also tend to support a central role for cytoplasmic calcium in mediating the actions of many growth-regulating influences, and strongly implicate changes in actin filament stability as mediating the beh
Cannabinoids exert pleiotropic effects on the brain by engaging the cannabinoid CB1 receptor (CB1R), a presynaptic metabotropic receptor that regulates key neuronal functions in a highly context-dependent manner. We have previously shown that CB1R interacts with growth-associated protein of 43 kDa (GAP43) and that this interaction inhibits CB1R function on hippocampal excitatory synaptic transmission, thereby impairing the therapeutic effect of cannabinoids on epileptic seizures in vivo. However, the underlying molecular features of this interaction remain unexplored. Here, we conducted mechanistic experiments on HEK293T cells co-expressing CB1R and GAP43 and show that GAP43 modulates CB1R signalling in a strikingly selective manner. Specifically, GAP43 did not affect the archetypical agonist-evoked (i) CB1R/Gi/o protein-coupled signalling pathways, such as cAMP/PKA and ERK, or (ii) CB1R internalization and intracellular trafficking. In contrast, GAP43 blocked an alternative agonist-ev
The KH-type splicing regulatory protein (KHSRP) is an RNA-binding protein linked to decay of mRNAs with AU-rich elements. KHSRP was previously shown to destabilize Gap43 mRNA and decrease neurite growth in cultured embryonic neurons. Here, we have tested functions of KHSRP in vivo. We find upregulation of 1460 mRNAs in neocortex of adult Khsrp-/- mice, of which 527 bind to KHSRP with high specificity. These KHSRP targets are involved in pathways for neuronal morphology, axon guidance, neurotransmission and long-term memory. Khsrp-/- mice show increased axon growth and dendritic spine density in vivo. Neuronal cultures from Khsrp-/- mice show increased axon and dendrite growth and elevated KHSRP-target mRNAs, including subcellularly localized mRNAs. Furthermore, neuron-specific knockout of Khsrp confirms these are from neuron-intrinsic roles of KHSRP. Consistent with this, neurons in the hippocampus and infralimbic cortex of Khsrp-/- mice show elevations in frequency of miniature excita
Patterned visual activity, acting via NMDA receptors, refines developing retinotectal maps by shaping individual retinal arbors. Because NMDA receptors are postsynaptic but the retinal arbors are presynaptic, there must be retrograde signals generated downstream of Ca(++) entry through NMDA receptors that direct the presynaptic retinal terminals to stabilize and grow or to withdraw. This review defines criteria for retrograde synaptic messengers, and then applies them to the leading candidates: nitric oxide (NO), brain-derived neurotrophic factor (BDNF), and arachidonic acid (AA). NO is not likely to be a general mechanism, as it operates only in selected projections of warm blooded vertebrates to speed up synaptic refinement, but is not essential. BDNF is a neurotrophin with strong growth promoting properties and complex interactions with activity both in its release and receptor signaling, but may modulate rather than mediate the retrograde signaling. AA promotes growth and stabiliza
PURPOSE: Osseous involvement defined by lytic bone lesions is shown by skeletal survey in multiple myeloma (MM). This technique has limitations because it detects only lesions with more than 30% trabecular bone loss. In addition, lesions persist after chemotherapy, thereby limiting its usefulness at relapsing disease. Alternative techniques to detect new bone lesions are somatostatin receptor scintigraphy (SRS) and 18F-fluordeoxyglucose (FDG) PET so far predominantly studied in patients with newly diagnosed MM. Malignant plasma cells can have a high expression of somatostatin receptors and an elevated metabolic activity. Therefore, these techniques might be useful in patients with relapsing MM because they are not hampered by preexisting skeletal defects. The purpose of this study was to demonstrate which technique is most optimal to detect skeletal lesions in patients with relapsing MM. METHOD: In patients with relapsing MM (n = 21), 3 separate methods were used (skeletal survey, SRS,
Autophagy is one of the main mechanisms in the pathophysiology of neurodegenerative disease. The accumulation of autophagic vacuoles (AVs) in affected neurons is responsible for amyloid-β (Aβ) production. Previously, we reported that SUMO1 (small ubiquitin-like modifier 1) increases Aβ levels. In this study, we explored the mechanisms underlying this. We investigated whether AV formation is necessary for Aβ production by SUMO1. Overexpression of SUMO1 increased autophagic activation, inducing the formation of LC3-II-positive AVs in neuroglioma H4 cells. Consistently, autophagic activation was decreased by the depletion of SUMO1 with small hairpin RNA (shRNA) in H4 cells. The SUMO1-mediated increase in Aβ was reduced by the autophagy inhibitors (3-methyladenine or wortmannin) or genetic inhibitors (siRNA targeting ATG5, ATG7, ATG12, or HIF1A), respectively. Accumulation of SUMO1, ATG12, and LC3 was seen in amyloid precursor protein transgenic mice. Our results suggest that SUMO1 acceler
Diacylglycerol kinase (DGK) participates in regulating the intracellular concentrations of two bioactive lipids, diacylglycerol and phosphatidic acid. DGK eta (eta 1, 128 kDa) is a type II isozyme containing a pleckstrin homology domain at the amino terminus. Here we identified another DGK eta isoform (eta 2, 135 kDa) that shared the same sequence with DGK eta 1 except for a sterile alpha motif (SAM) domain added at the carboxyl terminus. The DGK eta 1 mRNA was ubiquitously distributed in various tissues, whereas the DGK eta 2 mRNA was detected only in testis, kidney, and colon. The expression of DGK eta 2 was suppressed by glucocorticoid in contrast to the marked induction of DGK eta 1. DGK eta 2 was shown to form through its SAM domain homo-oligomers as well as hetero-oligomers with other SAM-containing DGKs (delta 1 and delta 2). Interestingly, DGK eta 1 and DGK eta 2 were rapidly translocated from the cytoplasm to endosomes in response to stress stimuli. In this case, DGK eta 1 was
BACKGROUND: Alzheimer's disease (AD) is a complex and severe neurodegenerative disease that still lacks effective methods of diagnosis. The current diagnostic methods of AD rely on cognitive tests, imaging techniques and cerebrospinal fluid (CSF) levels of amyloid-β1-42 (Aβ42), total tau protein and hyperphosphorylated tau (p-tau). However, the available methods are expensive and relatively invasive. Artificial intelligence techniques like machine learning tools have being increasingly used in precision diagnosis. METHODS: We conducted a meta-analysis to investigate the machine learning and novel biomarkers for the diagnosis of AD. METHODS: We searched PubMed, the Cochrane Central Register of Controlled Trials, and the Cochrane Database of Systematic Reviews for reviews and trials that investigated the machine learning and novel biomarkers in diagnosis of AD. RESULTS: In additional to Aβ and tau-related biomarkers, biomarkers according to other mechanisms of AD pathology have been inve
Synapse has been considered a critical neuronal structure in the procession of Alzheimer's disease (AD), attacked by two pathological molecule aggregates (amyloid-β and phosphorylated tau) in the brain, disturbing synaptic homeostasis before disease manifestation and subsequently causing synaptic degeneration. Recently, evidence has emerged indicating that soluble oligomeric amyloid-β (AβO) and tau exert direct toxicity on synapses, causing synaptic damage. Synaptic degeneration is closely linked to cognitive decline in AD, even in the asymptomatic stages of AD. Therefore, the identification of novel, specific, and sensitive biomarkers involved in synaptic degeneration holds significant promise for early diagnosis of AD, reducing synaptic degeneration and loss, and controlling the progression of AD. Currently, a range of biomarkers in cerebrospinal fluid (CSF), such as synaptosome-associated protein 25 (SNAP-25), synaptotagmin-1, growth-associated protein-43 (GAP-43), and neurogranin (
The main objetive was to analyze the accuracy of different verbal fluency tests (VFTs) in discriminating cognitively healthy subjects from individuals with mild cognitive impairment (MCI) and probable Alzheimer's disease (AD) in a cohort of older Spanish speaking adults. As a result, we aimed to identify the VFT that best predicts conversion from MCI to probable AD. 287 subjects: 170 controls (HC), 90 stable MCI and 27 patients with MCI that evolved into probable AD (MCI-AD) were assessed with a neuropsychological battery test and five VFTs. The animal fluency test produced the best differentiation of HC from MCI (p < .001), of HC from MCI-AD (p < .001) and of MCI from MCI-AD converters (p < .001), with sensitivities 98.8%, 98.8% and 75.6%, respectively. Logistic regression showed that the animal fluency test (p < 0.001) appears to be the most useful and neuropsychological VFT to predict conversion to probable dementia.
BACKGROUND: The amygdala is a central component of the neural circuitry that underlies fear learning. N-methyl-D-aspartate receptor-dependent plasticity in the amygdala is required for pavlovian fear conditioning and extinction. N-methyl-D-aspartate receptor activation requires the binding of a coagonist, D-serine, which is synthesized from L-serine by the neuronal enzyme serine racemase (SR). However, little is known about SR and D-serine function in the amygdala. METHODS: We used immunohistochemical methods to characterize the cellular localization of SR and D-serine in the mouse and human amygdala. Using biochemical and molecular techniques, we determined whether trace fear conditioning and extinction engages the SR/D-serine system in the brain. D-serine was administered systemically to mice to evaluate its effect on fear extinction. Finally, we investigated whether the functional single nucleotide polymorphism rs4523957, which is an expression quantitative trait locus of the human
BACKGROUND AND OBJECTIVES: This systematic review and meta-analysis aims to evaluate blood biomarkers associated with neurodegeneration and glial activation, specifically GFAP, NfL, YKL-40, MCP-1, neurogranin, GAP-43, S100B, and NSE, in individuals diagnosed with Alzheimer's Disease (AD). METHODS: PubMed and Web of Science were searched until February 20, 2025, without restrictions on language, time, or study design, to identify studies reporting blood levels of the biomarkers in individuals along the AD continuum (including those with MCI and AD dementia) and cognitively unimpaired (CU) controls. Pooled effect sizes were calculated using the Hedges' g method with a random-effects model. RESULTS: A total of 3684 studies were identified, with 144 meeting inclusion criteria (AD continuum n = 42,587, CU n = 30,000). Compared with CU individuals, patients on the AD continuum showed higher levels of NfL (SMD = 0.82, 95 % CI 0.67-0.96, p < 0.05), GFAP (SMD = 1.57, 95 % CI 1.26-1.88, p < 0.05
Description: Overexpression of GAP43 in astrocytes will stabilize tunneling nanotubes and increase the efficiency of mitochondrial transfer to metabolically stressed neurons. This approach leverages the cytoskeletal reorganization properties of GAP43 to create more robust intercellular conduits for organelle trafficking.
Target: GA
| Event | Price | Change | Source | Time | |
|---|---|---|---|---|---|
| 📄 | New Evidence | $0.408 | ▲ 2.2% | evidence_batch_update | 2026-04-13 02:18 |
| 📄 | New Evidence | $0.400 | ▲ 5.1% | evidence_batch_update | 2026-04-13 02:18 |
| ⚖ | Recalibrated | $0.380 | ▼ 2.5% | 2026-04-12 05:13 | |
| ⚖ | Recalibrated | $0.390 | ▼ 1.4% | 2026-04-10 15:58 | |
| ⚖ | Recalibrated | $0.396 | ▲ 1.7% | 2026-04-10 15:53 | |
| ⚖ | Recalibrated | $0.389 | ▼ 0.5% | 2026-04-08 18:39 | |
| ⚖ | Recalibrated | $0.391 | ▼ 0.5% | 2026-04-06 04:04 | |
| ⚖ | Recalibrated | $0.393 | ▼ 0.8% | 2026-04-04 16:38 | |
| ⚖ | Recalibrated | $0.396 | ▼ 2.3% | 2026-04-04 16:02 | |
| 📄 | New Evidence | $0.406 | ▲ 2.8% | evidence_batch_update | 2026-04-04 09:08 |
| ⚖ | Recalibrated | $0.395 | ▼ 6.2% | 2026-04-03 23:46 | |
| ⚖ | Recalibrated | $0.421 | ▲ 11.3% | 2026-04-02 21:55 | |
| ⚖ | Recalibrated | $0.378 | ▲ 3.7% | market_recalibrate | 2026-04-02 19:14 |
| 💬 | Debate Round | $0.365 | ▲ 5.7% | debate_engine | 2026-04-02 17:18 |
| 📄 | New Evidence | $0.345 | ▼ 22.4% | market_dynamics | 2026-04-02 17:18 |
Molecular pathway showing key causal relationships underlying this hypothesis
graph TD
GAP43["GAP43"] -->|encodes| GAP43_protein["GAP43_protein"]
GAP43_protein_1["GAP43_protein"] -->|regulates| axonal_growth_pathway["axonal_growth_pathway"]
GAP43_2["GAP43"] -->|associated with| neurodegeneration["neurodegeneration"]
COX4I1["COX4I1"] -->|co discussed| GAP43_3["GAP43"]
PRKAA1["PRKAA1"] -->|co discussed| GAP43_4["GAP43"]
GJA1["GJA1"] -->|co discussed| GAP43_5["GAP43"]
RAB27A["RAB27A"] -->|co discussed| GAP43_6["GAP43"]
GAP43_7["GAP43"] -->|co discussed| TFAM["TFAM"]
TRAK1_KIF5A["TRAK1_KIF5A"] -->|co discussed| GAP43_8["GAP43"]
GAP43_9["GAP43"] -->|co discussed| PRKAA1_10["PRKAA1"]
GAP43_11["GAP43"] -->|co discussed| GJA1_12["GJA1"]
TFAM_13["TFAM"] -->|co discussed| GAP43_14["GAP43"]
GAP43_15["GAP43"] -->|co discussed| RAB27A_16["RAB27A"]
GAP43_17["GAP43"] -->|co discussed| COX4I1_18["COX4I1"]
GAP43_19["GAP43"] -->|co discussed| TRAK1_KIF5A_20["TRAK1_KIF5A"]
style GAP43 fill:#ce93d8,stroke:#333,color:#000
style GAP43_protein fill:#4fc3f7,stroke:#333,color:#000
style GAP43_protein_1 fill:#4fc3f7,stroke:#333,color:#000
style axonal_growth_pathway fill:#81c784,stroke:#333,color:#000
style GAP43_2 fill:#ce93d8,stroke:#333,color:#000
style neurodegeneration fill:#ef5350,stroke:#333,color:#000
style COX4I1 fill:#ce93d8,stroke:#333,color:#000
style GAP43_3 fill:#ce93d8,stroke:#333,color:#000
style PRKAA1 fill:#ce93d8,stroke:#333,color:#000
style GAP43_4 fill:#ce93d8,stroke:#333,color:#000
style GJA1 fill:#ce93d8,stroke:#333,color:#000
style GAP43_5 fill:#ce93d8,stroke:#333,color:#000
style RAB27A fill:#ce93d8,stroke:#333,color:#000
style GAP43_6 fill:#ce93d8,stroke:#333,color:#000
style GAP43_7 fill:#ce93d8,stroke:#333,color:#000
style TFAM fill:#ce93d8,stroke:#333,color:#000
style TRAK1_KIF5A fill:#ce93d8,stroke:#333,color:#000
style GAP43_8 fill:#ce93d8,stroke:#333,color:#000
style GAP43_9 fill:#ce93d8,stroke:#333,color:#000
style PRKAA1_10 fill:#ce93d8,stroke:#333,color:#000
style GAP43_11 fill:#ce93d8,stroke:#333,color:#000
style GJA1_12 fill:#ce93d8,stroke:#333,color:#000
style TFAM_13 fill:#ce93d8,stroke:#333,color:#000
style GAP43_14 fill:#ce93d8,stroke:#333,color:#000
style GAP43_15 fill:#ce93d8,stroke:#333,color:#000
style RAB27A_16 fill:#ce93d8,stroke:#333,color:#000
style GAP43_17 fill:#ce93d8,stroke:#333,color:#000
style COX4I1_18 fill:#ce93d8,stroke:#333,color:#000
style GAP43_19 fill:#ce93d8,stroke:#333,color:#000
style TRAK1_KIF5A_20 fill:#ce93d8,stroke:#333,color:#000
neurodegeneration | 2026-04-01 | completed