MINI REVIEW article

Front. Cell. Neurosci., 15 April 2025

Sec. Non-Neuronal Cells

Volume 19 - 2025 | https://doi.org/10.3389/fncel.2025.1553658

This article is part of the Research TopicNon-Neuronal Cells in Neurodegenerative Diseases and Psychiatric DisordersView all 8 articles

Role of glial cells in motor neuron degeneration in hereditary spastic paraplegias

  • 1Department of Biomedical Sciences, University of Illinois College of Medicine Rockford, Rockford, IL, United States
  • 2Department of Bioengineering, University of Illinois at Chicago, Chicago, IL, United States

This review provides a comprehensive overview of hereditary spastic paraplegias (HSPs) and summarizes the recent progress on the role of glial cells in the pathogenesis of HSPs. HSPs are a heterogeneous group of neurogenetic diseases characterized by axonal degeneration of cortical motor neurons, leading to muscle weakness and atrophy. Though the contribution of glial cells, especially astrocytes, to the progression of other motor neuron diseases like amyotrophic lateral sclerosis (ALS) is well documented, the role of glial cells and the interaction between neurons and astrocytes in HSP remained unknown until recently. Using human pluripotent stem cell-based models of HSPs, a study reported impaired lipid metabolisms and reduced size of lipid droplets in HSP astrocytes. Moreover, targeting lipid dysfunction in astrocytes rescues axonal degeneration of HSP cortical neurons, demonstrating a non-cell-autonomous mechanism in axonal deficits of HSP neurons. In addition to astrocytes, recent studies revealed dysfunctions in HSP patient pluripotent stem cell-derived microglial cells. Increased microgliosis and pro-inflammation factors were also observed in HSP patients’ samples, pointing to an exciting role of innate immunity and microglia in HSP. Building upon these recent studies, further investigation of the detailed molecular mechanism and the interplay between glial cell dysfunction and neuronal degeneration in HSP by combining human stem cell models, animal models, and patient samples will open avenues for identifying new therapeutic targets and strategies for HSP.

1 Introduction to hereditary spastic paraplegia

Hereditary spastic paraplegias (HSPs) are a group of neurodegenerative diseases characterized by axonal degeneration affecting the corticospinal pathways, leading to lower limb stiffness and weakness (Blackstone et al., 2011; Fink, 2013). There are over 80 identified genomic loci or genes associated with HSP. Based on the inheritance pattern, HSPs are classified as autosomal dominant (AD), autosomal recessive (AR), X-linked recessive, and mitochondrial inheritance (Finsterer et al., 2012). HSPs are also categorized as pure or complicated depending on their clinical manifestation. Pure forms of HSP patients exhibit clinical signs predominantly associated with deficits of the corticospinal tract, including lower limb weakness and stiffness, disruption in vibration perception and proprioception, and fluctuating hypertonic urine disturbance. In addition to corticospinal tract deficits, complex forms of HSP patients accompany additional neurological symptoms including ataxia, thin corpus callosum, extrapyramidal symptoms, chorioretinal degeneration, peripheral neuropathy, and mental impairment (Finsterer et al., 2012; Murala et al., 2021).

1.1 Epidemiology of HSP

For both AD and AR forms, the estimated prevalence of HSP globally is 1.8/100,000 patients. The prevalence rate varies according to the patient’s inclusion criteria, diagnosis, categorization, and geographic area (Chrestian et al., 2017; Koh et al., 2018). Three to ten HSP cases are thought to exist for every 100,000 people in Europe. It is believed that for every 100,000 people in Japan, there are 0.2 instances. The prevalence of AR-HSP varies from 0.0 to 5.3/100,000 population, with a pooled average of 1.8/100,000, while that of AD-HSP is from 0.5 to 5.5/100,000 (Ruano et al., 2014; de Souza et al., 2017). Common AD forms of HSP include SPG3A, SPG4, and SPG31, which are caused by mutations in ATL1, SPAST and REEP1 (Finsterer et al., 2012; Hedera, 1993). SPG7, SPG11, and SPG15 are common autosomal recessive forms (Finsterer et al., 2012; Stevanin et al., 2008), and patients commonly exhibited additional clinical symptoms (complex form) in addition to muscle weakness and spasticity (Table 1).

Table 1
www.frontiersin.org

Table 1. Overview of common HSP types, genes, protein involved and inheritance pattern.

1.2 Neuropathology of HSP

HSPs are caused by the degeneration of cortical motor neuron axons, which interrupts the signaling transmissions to lower motor neurons (located in brainstem and spinal cord) and subsequent muscle cells, leading to the atrophy and weakness of muscles (Blackstone, 2018; Soderblom and Blackstone, 2006). Axon degeneration involving the lateral corticospinal pathways was most frequently observed in postmortem investigations of HSP patients. The degeneration was most severe in the lumbar and thoracic region of the spinal cord and comparatively mild in the cervical section. Fasciculus gracilis fibers are known to exhibit axonal degradation, which is particularly prominent in the cervical region of the spinal cord. The degree of demyelination in these fibers is directly proportional to the degree of axon degeneration, rather than indicating a fundamental demyelinating reason for the condition (Fink, 2013). HSP axonopathy exhibited a particular vulnerability to long motor and sensory axons. Peripheral neuropathy is a prevalent symptom of several subtypes of HSP, which extends beyond the central nervous system (Fink, 2013).

Axons are myelinated by oligodendrocytes in the central nervous system. Because of the degeneration of corticospinal tracts, myelin abnormalities are commonly observed in patients with HSP (Fink, 2013; Blackstone, 2012). In some HSP patients, myelin abnormalities could be primary and precede to axonal degeneration. For example, mutations in proteolipid protein 1 (PLP1), a major component of myelin, underlie type 2 spastic paraplegias (SPG2) (Khalaf et al., 2022) (Table 1). Moderate cerebral atrophy, extensive pallor of CNS myelin (corticospinal tract), and significant axonal degeneration of the corticospinal tract were seen postmortem in an SPG2 HSP (Suzuki et al., 2011). PLP1 is highly expressed in oligodendrocytes, implying the contribution of glial cells in the pathogenesis of HSP. In addition to oligodendrocyte, recent studies revealed the critical role of other types of glial cells especially astrocytes (Mou et al., 2020) in the degeneration of cortical motor neuron axons in HSP, providing new targets for developing therapies for HSP.

2 Astrocytes: a novel player in the pathogenesis of neurodegeneration and HSP

Astrocytes, a major type of glial cell, constitute about 20–40% of the total cells in the mammalian brain (Khakh and Sofroniew, 2015; Liddelow and Barres, 2017). Astrocytes have long been considered as the major supporting cell for neurons, though more and more studies show their critical roles in neurodevelopment and diseases. They play a pivotal role in maintaining cell homeostasis and blood brain barrier (BBB) integrity, secreting trophic molecules, and regulating the brain microenvironment. Apart from all these, astrocytes also aid in a normal synaptic function and transmission (Farhy-Tselnicker and Allen, 2018). Astrocytes, the most ubiquitous cell type, can form bidirectional contact between the neurons as well as the microvascular endothelial cells lining the cerebral blood vessels. Through this interaction, astrocytes carry glucose, oxygen, and other substances from blood to the neurons thus providing nutritional support for the neurons (Sofroniew and Vinters, 2010). In reaction to neuronal activity, astrocytes can alter local blood flow by producing vasodilators like nitric oxide or arachidonic acid. This increases blood flow and, thus, provides active neurons with nutritional support (Lovick et al., 2005). In addition to the regulation of blood flow, astrocytes also transfer mitochondria to neurons (Khakh and Sofroniew, 2015; Kim et al., 2019). Furthermore, four separate subtypes of anatomically and structurally diverse GFAP+ astrocytes—interlaminar, protoplasmic, varicose, and fibrous astroglia—can be found in the human brain (Oberheim et al., 2012; Vasile et al., 2017). Interlaminar astrocytes are found in layer 1 of the cerebral cortex and extend long, varicosity-free processes into deeper layers. The most prevalent astrocytes in gray matter, protoplasmic astrocytes, are found in layers 2–6 of the cortex, while varicose astrocytes are located in the white matter and layers 5 and 6 (Degl'Innocenti and Dell'Anno, 2023). Fibrous astrocytes align with axon fibers and terminate at Ranvier’s nodes. The detailed functions of these astrocytes and whether they play differential roles in pathological changes remains to be investigated.

As a reaction to the CNS damage, astrocytes undergo changes to become reactive astrocytes (Liddelow and Barres, 2017; Ding et al., 2021). Reactive astrocytosis is primarily characterized by cellular hypertrophy, altered gene expression and possibly astrocyte proliferation. Reactive astrocytes alter their molecular expression, and a wealth of information is known about the chemicals that can cause reactive astrogliosis. Through reactive astrogliosis, astrocytes react to brain injury or neurodegeneration by producing extracellular molecules such cytotoxins (e.g., LCN2), inflammatory factors (e.g., IL-1β, TNF-α, nitric oxide), and neurotrophic factors (e.g., BDNF, NGF). These molecules influence the CNS in a neuroprotective or neurotoxic way (Sofroniew and Vinters, 2010). Reactive astrocytes can be classified as either neurotoxic (A1) or neuroprotective (A2) based on their gene expression patterns and secreted factors (Lawrence et al., 2023; Fan and Huo, 2021). In reaction to acute damage such as ischemia and tissue injury, astrocytes can adopt a neuroprotective A2 phenotype and produce neurotrophic factors, such as BDNF and NGF, to promote recovery (Liddelow and Barres, 2017; Qian et al., 2018). Conversely, chronic damage and neurodegeneration are associated with a cytotoxic A1 reactive astrocyte phenotype. Pro-inflammatory factors generated from blood–brain barrier damage and microglial activation, which will be discussed in the following sections, are common stimuli for A1 toxic astrocytes (Liddelow et al., 2017; Geng et al., 2025). At the same time, inflammatory indicators such as nitric oxide, IL-1β (interleukin 1 beta), and TNF-α (tumor necrosis factor alpha) are further upregulated by A1 astrocytes (Lawrence et al., 2023; Liddelow et al., 2017), exacerbating neuroinflammation and resulting in aberrant synaptogenesis and neuronal degeneration.

Astrocytes are a major component of blood brain barrier (BBB). The BBB, also known as the neurovascular unit, is made up of a layer of astrocytes, pericytes, and microvascular endothelial cells that surround cerebral capillaries. It keeps the susceptible central nervous system safe from external threats while maintaining an appropriate blood supply. Tight junctions between endothelial cells preserve the BBB’s low permeability, which is used to tightly control what enters the brain parenchyma. Its ability to operate properly depends on the close interactions between thick astrocyte processes, or end feet, which encase blood vessel endothelial cells and create the glial limiting membrane, a charged basement membrane (Tabata, 2015; Liu et al., 2020). The integrity of the outer and inner cerebrospinal fluid-brain barriers, which divide the brain parenchyma from the ventricles and subarachnoid space, respectively, is also preserved by astrocytes. The BBB plays a vital function in preventing peripheral immune cells from extensively entering the central nervous system. When immune cells infiltrate due to compromised barrier integrity, they produce pro-inflammatory cytokines and harmful reactive oxygen species (ROS), which can cause neuroinflammation and impair neuronal function, further exacerbating neurodegeneration (Lawrence et al., 2023; Whish et al., 2015; Brochner et al., 2015). Though it has been shown that astrocytes have a critical role in disease progression and motor neuron degeneration in ALS cell and animal models (Van Harten et al., 2021; Pehar et al., 2017), the effects of astrocytes on neurons and their contribution to the pathogenesis of HSP had remained unknown. Using human stem cell-based models of SPG3A, a recent study reported the lipid deficiency caused by ATL1 mutations lead to axonal degeneration of human cortical projection neurons (Mou et al., 2020), providing evidence to support the direct interactions between neuron and astrocytes in HSP human models, opening new opportunities for studying HSP. This mini-review highlights recent advances in HSP, while additional information on other motor neuron diseases has been summarized in previous works (Ravi et al., 2021; Yamanaka and Komine, 2018; You et al., 2023; Fernandez-Lizarbe et al., 2019; Provenzano et al., 2023; Olympiou et al., 2016).

3 Role of astrocytes in neuronal degeneration associated with HSP: impaired lipid metabolism in SPG3A astrocytes underlies the degeneration of cortical projection neurons

SPG3A is the most common dominant form of HSP, caused by the mutations in the ATL1 gene which encodes Atlastin-1 protein. Atlastin 1 is a membrane bound ER-localized dynamin like GTPase (Zhao et al., 2001). ATL1 mutations impair the formation of a three way ER tubule junctions which leads to improper tubule and vesicle formation (Orso et al., 2009; Zhao et al., 2016). Apart from SPG3A protein, Atlastin 1, several other HSP related proteins like spastin (SPG4), seipin (SPG17), spartin (SPG20), and REEP1 (SPG31) were also found to be participating in regulating the number and size of the lipid droplets in HEK293, COS7 and HeLa cells in vitro (Klemm et al., 2013; Eastman et al., 2009; Fei et al., 2011; Papadopoulos et al., 2015; Renvoise et al., 2012). These forms of HSP cover over 50% of HSP patients, suggesting lipid dysfunction as a common pathological change for HSP patients.

Using astrocytes derived from SPG3A patient iPSCs, Mou et al. reported reduced size of lipid droplets in SPG3A astrocytes (Mou et al., 2020). Moreover, this study further showed that the efflux of cholesterol from SPG3A astrocytes is significantly reduced. Moreover, restoring the cholesterol transfer using LXR agonists mitigates axonal degeneration of cortical projection neurons. Thus, these data demonstrate a novel role of astrocytes in HSP and provide evidence of the impaired cholesterol trafficking between SPG3A patient iPSC-derived astrocytes and neurons.

Cholesterol is crucial for normal axonal functions and is highly concentrated in the brain (Mauch et al., 2001; Pfrieger, 2003), primarily due to synthesis in glial cells since the blood–brain barrier blocks lipoprotein cholesterol uptake. After birth, neurons depend on glial-supplied cholesterol. Issues with lipid transfer from glial cells to neurons might contribute to neurological diseases (Dietschy, 2009; Zhang and Liu, 2015). In SPG3A stem cell-derived astrocytes, mutations in ATL1 disrupt lipid metabolism as indicated by lower levels of PLIN2, NR1H2, and SREBP1 (Mou et al., 2020; Shimano and Sato, 2017), leading to smaller lipid droplets (LDs) in astrocytes and reduced cholesterol transfer. Treatment with GW3965 mitigates these deficits and rescues subsequent axonal degeneration of SPG3A cortical neurons. The proposed model suggests that ATL1 mutations impair lipid biogenesis and cholesterol trafficking in glial cells, causing lipid dysfunction and axonal degeneration in cortical motor neurons. Moreover, reduced cholesterol and axonal defects can be corrected by adding cholesterol or using conditioned media from healthy astrocytes (Mou et al., 2020), revealing a non-cell autonomous mechanism where glial dysfunction affects neuronal health.

In addition to SPG3A, lipid and cholesterol trafficking deficits have been reported in other forms of HSP (Marrone et al., 2022; Gao et al., 2024). Interestingly, the cholesterol trafficking deficits can also be seen in neurons as indicated by the accumulated cholesterol in the lysosomal of neurons (Chai et al., 2023). Whether cholesterol trafficking is also impaired in astrocytes in SPG11, and how the interaction between neuron and astrocytes deficits in the axonal degeneration in different forms of HSP are interesting questions and await further investigation. Lipid dysfunction can also affect other pathological processes, including vesicle trafficking and mitochondrial dynamics (Figure 1). Moreover, reactive astrocytes in response to degeneration could lead to BBB leakage and neuroinflammation. Further research to investigate the interplay between these processes in the pathogenesis of HSP, as well as similarities and differences between HSP and other motor neuron diseases, will provide valuable insights and new therapeutic strategies for rescuing disease phenotypes and developing therapies for HSP.

Figure 1
www.frontiersin.org

Figure 1. Astrocytes and major pathways affected in the disease mechanism of hereditary spastic paraplegia (HSP). Created in BioRender. Li, X. (2025) https://BioRender.com/7uxkfnq.

4 Impact of microglial cells on HSP

Microglia, also known as resident brain macrophages, are glial cells that are crucial to the CNS’s immunological processes. Microglia are derived from the mesoderm, and their precursor cells in the yolk sac are called erythromyeloid progenitors (EMPs). This contrasts with neurons, astrocytes, and oligodendrocytes, which come from the ectoderm (Nakaso, 2024). Microglia plays a crucial role in phagocytosing foreign materials and other dead substances and induces immune responses in the brain (Prinz et al., 2021). Apart from phagocytic activity, activation of microglia leads to the release of inflammatory mediators including both pro-inflammatory cytokines and chemokines, further exacerbating the degeneration of neuronal cells (Rodriguez-Gomez et al., 2020). Microglia are observed to be in a ramified structure with elongated protrusions in their resting state. During nerve injuries or any other neurological diseases, the microglia are activated wherein, the microglia undergo morphological changes exhibiting an enlargement in the cell body and shrinking of the protrusions.

The mechanism of microglial activation can be diverse and complex based on the progression of the neurological disease and the region of the brain affected (Nakaso, 2024). The hallmarks of neurodegenerative diseases include a gradual, long-term loss of neurons and abnormally elevated levels of cytotoxic components, such as extracellular debris and reactive oxygen species. These damage-associated molecular patterns (DAMPs) can activate and recruit neurotoxic microglia through binding and activating the Toll-like receptors on microglia. DAMPs can also activate the nuclear factor kappa B (NF-κB) pathway, leading to the activation of microglia cells and the release of pro-inflammatory cytokines (e.g., IL-1β, IL-6, TNF-α) (Biswas, 2023). One important biochemical pathway during microglial activation is tyrosine phosphorylation, which has been shown to be enriched in microglial cells after neurotoxicity (Lull and Block, 2010). Protein kinase C (PKC) also contributes to microglial cytokine production by boosting TNF-α release (Gordon et al., 2016). More research is required to identify the detailed cellular and biochemical mechanisms underlying microglia activation to better understand its role in neurodegenerative diseases.

A recent study using a Spg11−/− mouse model found that neuroinflammatory changes, indicated by CD8+ T lymphocytes invading the brain, exacerbated neurodegeneration (Horner et al., 2022). Exactly how CD8+ T-cell invasion takes place in Spg11−/− mice remains uncertain. Microglia have been demonstrated to be activated in several brain regions, which might potentially boost the attraction of pathogenic CD8+ T cells. By combining iPSC-derived microglial cells, patient post-mortem brain sections, and immune-analyses of patient peripheral blood cells, Krumm et al. revealed the novel role of innate immunity in neuroinflammation and neurodegeneration in SPG11-HSP (Krumm et al., 2024). Extensive and severe microgliosis was seen in the postmortem brain tissues from SPG11–HSP, and the disease-associated microglia marker was expressed. Interestingly, higher blood serum levels of proinflammatory monocytes and the proinflammatory cytokine IL-6 were observed in SPG11 patients. Moreover, the activation of interferon gamma (IFNγ) was revealed in patient induced pluripotent stem cell-derived microglia-like cells, as well as in SPG11−/− mouse model and the SPG11 postmortem tissues (Krumm et al., 2024). Further analysis of patient stem cell-derived microglial cells reveals that the IFNγ-STAT1 mediated pathway underlies the neuroinflammation and the degeneration of neurons in SPG11. Interestingly, direct target T-cell-based response using immunomodulator also showed protective effects in SPG11 animal models (Horner et al., 2022; Horner et al., 2024), suggesting that T-cell-mediated immune response contributes partially to neuroinflammation. The detailed mechanisms and interplay between the microglia- and T cell-mediated immune responses, as well as the role of neuroinflammation in SPG11 and other forms of HSP are valuable questions to be addressed to fully understand the therapeutic potential in targeting glial cells and neuroinflammation in HSP.

5 Discussion

A challenge in studying glial cells in HSP using human pluripotent stem cell models is achieving effective differentiation and maturation of glial cells. Establishing consistent and physiologically relevant cell populations through reproducible protocols is vital. By combining critical morphogens and chemicals to recapitulate developmental cues, the paradigms to efficiently differentiate astrocytes and microglial cells have been established (Tao and Zhang, 2016; Teo et al., 2024; Douvaras et al., 2017; Krencik et al., 2011). Further efforts are needed to generate sub-populations and region-specific astrocytes and microglia from human pluripotent stem cells. Another important area is to promote the maturation and function of glial cells, and one way to achieve this is to co-culture glial cells with neurons and/or other types of cells.

The development of co-culture systems with neurons is essential to replicate the cellular complexity and interactions that affect disease progression. Co-culture and triple culture systems serve as in vitro models that simulate the interactions among various cell types (neurons, astrocytes, microglia, and oligodendrocytes). These systems provide enhanced physiological relevance and help elucidate numerous biological processes such as differentiation, proliferation, migration, and signaling pathways.

To better mimic the in vivo microenvironment, extracellular matrix, growth factors and other cellular components could be used to promote the maturation and function of the co-cultures. Another strategy is to build 3-dimensional (3D) organoids to model the complex brain environment. Given that microglial cells are derived from different germ layers and are usually absent in traditional cortical organoids, generating organoids enriched in microglial cells (or endothelial cells, major components for neurovascular structures) and then assembling them with cortical organoids (which contain neurons and glial cells) could overcome this challenge. Organoids serve as powerful 3D models derived from stem cells, offering a more physiologically relevant system mimicking human tissue complexity. The 3D organoid culture also promotes the maturation of glial cells, allowing the study of these cells in the development and progression of diseases (Amin and Pasca, 2018; Lanjewar and Sloan, 2021). Using 3D cultures of cells derived from patients with Charcot–Marie–Tooth disease (CMT2A), a recent study generated organoids containing myelinating Schwann cells, enabling the testing of PMP22 inhibitors and the study of cell interactions in peripheral neuropathies (Van Lent et al., 2023). The organoid models offer unique human-relevant systems for exploring cellular interactions and testing therapeutics for neurodegenerative diseases, including HSP. The 3D printing of different types of cells provides another valuable approach to study the complex interactions between different cell types in the pathogenesis of HSP.

Further research into the role of glial cells in the pathogenesis of HSPs will test not only individual glial cell types, but also the interplays between glial cells and neurons, and between different pathological processes. Effective therapeutic approaches should address both neuronal and glial dysfunctions, and the combination of glial-targeted therapies with neuronal interventions may offer synergistic benefits. Furthermore, developing therapeutic approaches for HSPs by targeting glial cells will utilize both stem cell-based models in vitro and animal models in vivo. Understanding the role of glial cells and the dynamic interactions between glial and neuronal cells is crucial for enhancing our comprehension of HSP and formulating effective therapeutic interventions.

Author contributions

MV: Resources, Writing – original draft. SM: Visualization, Writing – review & editing. GT: Writing – review & editing. X-JL: Conceptualization, Writing – review & editing.

Funding

The author(s) declare that financial support was received for the research and/or publication of this article. This work was supported by National Institutes of Health grant (R01NS118066), the Blazer Foundation, and the Master of Science in Medical Biotechnology Program at the University of Illinois College of Medicine Rockford.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.

Generative AI statement

The authors declare that no Gen AI was used in the creation of this manuscript.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

Amin, N. D., and Pasca, S. P. (2018). Building models of brain disorders with three-dimensional organoids. Neuron 100, 389–405. doi: 10.1016/j.neuron.2018.10.007

Crossref Full Text | Google Scholar

Bellad, A., Girimaji, S. C., and Muthusamy, B. (2021). A novel loss of function mutation in adaptor protein complex 4, subunit mu-1 causing autosomal recessive spastic paraplegia 50. Neurol. Sci. 42, 5311–5319. doi: 10.1007/s10072-021-05262-7

PubMed Abstract | Crossref Full Text | Google Scholar

Biswas, K. (2023). Microglia mediated neuroinflammation in neurodegenerative diseases: a review on the cell signaling pathways involved in microglial activation. J. Neuroimmunol. 383:578180. doi: 10.1016/j.jneuroim.2023.578180

Crossref Full Text | Google Scholar

Blackstone, C. (2012). Cellular pathways of hereditary spastic paraplegia. Annu. Rev. Neurosci. 35, 25–47. doi: 10.1146/annurev-neuro-062111-150400

PubMed Abstract | Crossref Full Text | Google Scholar

Blackstone, C. (2018). Converging cellular themes for the hereditary spastic paraplegias. Curr. Opin. Neurobiol. 51, 139–146. doi: 10.1016/j.conb.2018.04.025

PubMed Abstract | Crossref Full Text | Google Scholar

Blackstone, C., O'Kane, C. J., and Reid, E. (2011). Hereditary spastic paraplegias: membrane traffic and the motor pathway. Nat. Rev. Neurosci. 12, 31–42. doi: 10.1038/nrn2946

PubMed Abstract | Crossref Full Text | Google Scholar

Blumkin, L., Lerman-Sagie, T., Lev, D., Yosovich, K., and Leshinsky-Silver, E. (2011). A new locus (SPG47) maps to 1p13.2-1p12 in an Arabic family with complicated autosomal recessive hereditary spastic paraplegia and thin corpus callosum. J. Neurol. Sci. 305, 67–70. doi: 10.1016/j.jns.2011.03.011

PubMed Abstract | Crossref Full Text | Google Scholar

Brochner, C. B., Holst, C. B., and Mollgard, K. (2015). Outer brain barriers in rat and human development. Front. Neurosci. 9:75. doi: 10.3389/fnins.2015.00075

Crossref Full Text | Google Scholar

Casari, G., de Fusco, M., Ciarmatori, S., Zeviani, M., Mora, M., Fernandez, P., et al. (1998). Spastic paraplegia and OXPHOS impairment caused by mutations in paraplegin, a nuclear-encoded mitochondrial metalloprotease. Cell 93, 973–983. doi: 10.1016/S0092-8674(00)81203-9

PubMed Abstract | Crossref Full Text | Google Scholar

Chai, E., Chen, Z., Mou, Y., Thakur, G., Zhan, W., Li, X.-J., et al. (2023). Liver-X-receptor agonists rescue axonal degeneration in SPG11-deficient neurons via regulating cholesterol trafficking. Neurobiol. Dis. 187:106293. doi: 10.1016/j.nbd.2023.106293

Crossref Full Text | Google Scholar

Chrestian, N., Dupré, N., Gan-Or, Z., Szuto, A., Chen, S., Venkitachalam, A., et al. (2017). Clinical and genetic study of hereditary spastic paraplegia in Canada. Neurol. Genet. 3:e122. doi: 10.1212/NXG.0000000000000122

PubMed Abstract | Crossref Full Text | Google Scholar

Dardour, L., Roelens, F., Race, V., Souche, E., Holvoet, M., and Devriendt, K. (2017). SPG20 mutation in three siblings with familial hereditary spastic paraplegia. Cold Spring Harb. Mol. Case Stud. 3:a001537. doi: 10.1101/mcs.a001537

Crossref Full Text | Google Scholar

de Souza, P. V. S., de Rezende Pinto, W. B. V., de Rezende Batistella, G. N., Bortholin, T., and Oliveira, A. S. B. (2017). Hereditary spastic paraplegia: clinical and genetic hallmarks. Cerebellum 16, 525–551. doi: 10.1007/s12311-016-0803-z

PubMed Abstract | Crossref Full Text | Google Scholar

Degl'Innocenti, E., and Dell'Anno, M. T. (2023). Human and mouse cortical astrocytes: a comparative view from development to morphological and functional characterization. Front. Neuroanat. 17:1130729. doi: 10.3389/fnana.2023.1130729

PubMed Abstract | Crossref Full Text | Google Scholar

Dietschy, J. M. (2009). Central nervous system: cholesterol turnover, brain development and neurodegeneration. Biol. Chem. 390, 287–293. doi: 10.1515/BC.2009.035

PubMed Abstract | Crossref Full Text | Google Scholar

Ding, Z. B., Song, L. J., Wang, Q., Kumar, G., Yan, Y. Q., and Ma, C. G. (2021). Astrocytes: a double-edged sword in neurodegenerative diseases. Neural Regen. Res. 16, 1702–1710. doi: 10.4103/1673-5374.306064

PubMed Abstract | Crossref Full Text | Google Scholar

Douvaras, P., Sun, B., Wang, M., Kruglikov, I., Lallos, G., Zimmer, M., et al. (2017). Directed differentiation of human pluripotent stem cells to microglia. Stem Cell Rep. 8, 1516–1524. doi: 10.1016/j.stemcr.2017.04.023

PubMed Abstract | Crossref Full Text | Google Scholar

Eastman, S. W., Yassaee, M., and Bieniasz, P. D. (2009). A role for ubiquitin ligases and Spartin/SPG20 in lipid droplet turnover. J. Cell Biol. 184, 881–894. doi: 10.1083/jcb.200808041

PubMed Abstract | Crossref Full Text | Google Scholar

Edvardson, S., Hama, H., Shaag, A., Gomori, J. M., Berger, I., Soffer, D., et al. (2008). Mutations in the fatty acid 2-hydroxylase gene are associated with leukodystrophy with spastic paraparesis and dystonia. Am. J. Hum. Genet. 83, 643–648. doi: 10.1016/j.ajhg.2008.10.010

PubMed Abstract | Crossref Full Text | Google Scholar

Fan, Y. Y., and Huo, J. (2021). A1/A2 astrocytes in central nervous system injuries and diseases: angels or devils? Neurochem. Int. 148:105080. doi: 10.1016/j.neuint.2021.105080

Crossref Full Text | Google Scholar

Farhy-Tselnicker, I., and Allen, N. J. (2018). Astrocytes, neurons, synapses: a tripartite view on cortical circuit development. Neural Dev. 13:7. doi: 10.1186/s13064-018-0104-y

PubMed Abstract | Crossref Full Text | Google Scholar

Fei, W., Du, X., and Yang, H. (2011). Seipin, adipogenesis and lipid droplets. Trends Endocrinol. Metab. 22, 204–210. doi: 10.1016/j.tem.2011.02.004

PubMed Abstract | Crossref Full Text | Google Scholar

Fernandez-Lizarbe, S., Civera-Tregón, A., Cantarero, L., Herrer, I., Juarez, P., Hoenicka, J., et al. (2019). Neuroinflammation in the pathogenesis of axonal Charcot-Marie-tooth disease caused by lack of GDAP1. Exp. Neurol. 320:113004. doi: 10.1016/j.expneurol.2019.113004

PubMed Abstract | Crossref Full Text | Google Scholar

Fink, J. K. (2013). Hereditary spastic paraplegia: clinico-pathologic features and emerging molecular mechanisms. Acta Neuropathol. 126, 307–328. doi: 10.1007/s00401-013-1115-8

PubMed Abstract | Crossref Full Text | Google Scholar

Finsterer, J., Löscher, W., Quasthoff, S., Wanschitz, J., Auer-Grumbach, M., and Stevanin, G. (2012). Hereditary spastic paraplegias with autosomal dominant, recessive, X-linked, or maternal trait of inheritance. J. Neurol. Sci. 318, 1–18. doi: 10.1016/j.jns.2012.03.025

PubMed Abstract | Crossref Full Text | Google Scholar

Gao, K., Jia, F., Li, Y., and Wang, C. (2024). DDHD2 promotes lipid droplet catabolism by acting as a TAG lipase and a cargo receptor for lipophagy. Autophagy 20, 2346–2348. doi: 10.1080/15548627.2024.2356487

PubMed Abstract | Crossref Full Text | Google Scholar

Geng, Z., Deng, G., Wang, Z., Xu, X., Yin, X., Zhang, S., et al. (2025). Distinct roles of A1/A2 astrocytes in blood-brain barrier injury following cerebral I/R via the ROCK/NF-kappaB and STAT3 pathways. Int. Immunopharmacol. 151:114338. doi: 10.1016/j.intimp.2025.114338

Crossref Full Text | Google Scholar

Goizet, C., Boukhris, A., Maltete, D., Guyant-Maréchal, L., Truchetto, J., Mundwiller, E., et al. (2009). SPG15 is the second most common cause of hereditary spastic paraplegia with thin corpus callosum. Neurology 73, 1111–1119. doi: 10.1212/WNL.0b013e3181bacf59

PubMed Abstract | Crossref Full Text | Google Scholar

Gordon, R., Singh, N., Lawana, V., Ghosh, A., Harischandra, D. S., Jin, H., et al. (2016). Protein kinase Cδ upregulation in microglia drives neuroinflammatory responses and dopaminergic neurodegeneration in experimental models of Parkinson's disease. Neurobiol. Dis. 93, 96–114. doi: 10.1016/j.nbd.2016.04.008

PubMed Abstract | Crossref Full Text | Google Scholar

Hanein, S., Martin, E., Boukhris, A., Byrne, P., Goizet, C., Hamri, A., et al. (2008). Identification of the SPG15 gene, encoding spastizin, as a frequent cause of complicated autosomal-recessive spastic paraplegia, including Kjellin syndrome. Am. J. Hum. Genet. 82, 992–1002. doi: 10.1016/j.ajhg.2008.03.004

PubMed Abstract | Crossref Full Text | Google Scholar

Hazan, J., Fonknechten, N., Mavel, D., Paternotte, C., Samson, D., Artiguenave, F., et al. (1999). Spastin, a new AAA protein, is altered in the most frequent form of autosomal dominant spastic paraplegia. Nat. Genet. 23, 296–303. doi: 10.1038/15472

PubMed Abstract | Crossref Full Text | Google Scholar

Hedera, P. (1993). “Hereditary spastic paraplegia overview” in GeneReviews((R)). eds. M. P. Adam, J. Feldman, G. M. Mirzaa, R. A. Pagon, S. E. Wallace, and A. Amemiya (Seattle, WA: University of Washington).

Google Scholar

Horner, M., Groh, J., Klein, D., Ilg, W., Schöls, L., Santos, S. D., et al. (2022). CNS-associated T-lymphocytes in a mouse model of hereditary spastic paraplegia type 11 (SPG11) are therapeutic targets for established immunomodulators. Exp. Neurol. 355:114119. doi: 10.1016/j.expneurol.2022.114119

PubMed Abstract | Crossref Full Text | Google Scholar

Horner, M., et al. (2024). Clinically approved immunomodulators ameliorate behavioral changes in a mouse model of hereditary spastic paraplegia type 11. Front. Neurosci. 18:1299554:1299554.

Google Scholar

Khakh, B. S., and Sofroniew, M. V. (2015). Diversity of astrocyte functions and phenotypes in neural circuits. Nat. Neurosci. 18, 942–952. doi: 10.1038/nn.4043

PubMed Abstract | Crossref Full Text | Google Scholar

Khalaf, G., Mattern, C., Begou, M., Boespflug-Tanguy, O., Massaad, C., and Massaad-Massade, L. (2022). Mutation of proteolipid protein 1 gene: from severe Hypomyelinating Leukodystrophy to inherited spastic paraplegia. Biomedicines 10:1709. doi: 10.3390/biomedicines10071709

PubMed Abstract | Crossref Full Text | Google Scholar

Khan, T. N., Klar, J., Tariq, M., Baig, S. A., Malik, N. A., Yousaf, R., et al. (2014). Evidence for autosomal recessive inheritance in SPG3A caused by homozygosity for a novel missense mutation. Eur. J. Hum. Genet. 22, 1180–1184. doi: 10.1038/ejhg.2014.5

Crossref Full Text | Google Scholar

Kim, Y., Park, J., and Choi, Y. K. (2019). The role of astrocytes in the central nervous system focused on BK Channel and Heme oxygenase metabolites: a review. Antioxidants (Basel) 8:121. doi: 10.3390/antiox8050121

PubMed Abstract | Crossref Full Text | Google Scholar

Klemm, R. W., Norton, J. P., Cole, R. A., Li, C. S., Park, S. H., Crane, M. M., et al. (2013). A conserved role for atlastin GTPases in regulating lipid droplet size. Cell Rep. 3, 1465–1475. doi: 10.1016/j.celrep.2013.04.015

Crossref Full Text | Google Scholar

Koh, K., Ishiura, H., Tsuji, S., and Takiyama, Y. (2018). JASPAC: Japan spastic paraplegia research consortium. Brain Sci. 8:153. doi: 10.3390/brainsci8080153

PubMed Abstract | Crossref Full Text | Google Scholar

Krencik, R., Weick, J. P., Liu, Y., Zhang, Z. J., and Zhang, S. C. (2011). Specification of transplantable astroglial subtypes from human pluripotent stem cells. Nat. Biotechnol. 29, 528–534. doi: 10.1038/nbt.1877

PubMed Abstract | Crossref Full Text | Google Scholar

Krumm, L., Pozner, T., Zagha, N., Coras, R., Arnold, P., Tsaktanis, T., et al. (2024). Neuroinflammatory disease signatures in SPG11-related hereditary spastic paraplegia patients. Acta Neuropathol. 147:28. doi: 10.1007/s00401-023-02675-w

PubMed Abstract | Crossref Full Text | Google Scholar

Landoure, G., Zhu, P.-P., Lourenço, C. M., Johnson, J. O., Toro, C., Bricceno, K. V., et al. (2013). Hereditary spastic paraplegia type 43 (SPG43) is caused by mutation in C19orf12. Hum. Mutat. 34, 1357–1360. doi: 10.1002/humu.22378

PubMed Abstract | Crossref Full Text | Google Scholar

Lanjewar, S. N., and Sloan, S. A. (2021). Growing glia: cultivating human stem cell models of Gliogenesis in health and disease. Front. Cell Dev. Biol. 9:649538. doi: 10.3389/fcell.2021.649538

Crossref Full Text | Google Scholar

Lawrence, J. M., Schardien, K., Wigdahl, B., and Nonnemacher, M. R. (2023). Roles of neuropathology-associated reactive astrocytes: a systematic review. Acta Neuropathol. Commun. 11:42. doi: 10.1186/s40478-023-01526-9

PubMed Abstract | Crossref Full Text | Google Scholar

Liddelow, S. A., and Barres, B. A. (2017). Reactive astrocytes: production, function, and therapeutic potential. Immunity 46, 957–967. doi: 10.1016/j.immuni.2017.06.006

Crossref Full Text | Google Scholar

Liddelow, S. A., Guttenplan, K. A., Clarke, L. E., Bennett, F. C., Bohlen, C. J., Schirmer, L., et al. (2017). Neurotoxic reactive astrocytes are induced by activated microglia. Nature 541, 481–487. doi: 10.1038/nature21029

PubMed Abstract | Crossref Full Text | Google Scholar

Lim, Y., Cho, I. T., Schoel, L. J., Cho, G., and Golden, J. A. (2015). Hereditary spastic paraplegia-linked REEP1 modulates endoplasmic reticulum/mitochondria contacts. Ann. Neurol. 78, 679–696. doi: 10.1002/ana.24488

PubMed Abstract | Crossref Full Text | Google Scholar

Liu, L. R., Liu, J. C., Bao, J. S., Bai, Q. Q., and Wang, G. Q. (2020). Interaction of microglia and astrocytes in the neurovascular unit. Front. Immunol. 11:1024. doi: 10.3389/fimmu.2020.01024

PubMed Abstract | Crossref Full Text | Google Scholar

Lovick, T. A., Brown, L. A., and Key, B. J. (2005). Neuronal activity-related coupling in cortical arterioles: involvement of astrocyte-derived factors. Exp. Physiol. 90, 131–140. doi: 10.1113/expphysiol.2004.028811

PubMed Abstract | Crossref Full Text | Google Scholar

Lull, M. E., and Block, M. L. (2010). Microglial activation and chronic neurodegeneration. Neurotherapeutics 7, 354–365. doi: 10.1016/j.nurt.2010.05.014

PubMed Abstract | Crossref Full Text | Google Scholar

Marrone, L., Marchi, P. M., Webster, C. P., Marroccella, R., Coldicott, I., Reynolds, S., et al. (2022). SPG15 protein deficits are at the crossroads between lysosomal abnormalities, altered lipid metabolism and synaptic dysfunction. Hum. Mol. Genet. 31, 2693–2710. doi: 10.1093/hmg/ddac063

PubMed Abstract | Crossref Full Text | Google Scholar

Mauch, D. H., Nägler, K., Schumacher, S., Göritz, C., Müller, E. C., Otto, A., et al. (2001). CNS synaptogenesis promoted by glia-derived cholesterol. Science 294, 1354–1357. doi: 10.1126/science.294.5545.1354

PubMed Abstract | Crossref Full Text | Google Scholar

Meilleur, K. G., Traoré, M., Sangaré, M., Britton, A., Landouré, G., Coulibaly, S., et al. (2010). Hereditary spastic paraplegia and amyotrophy associated with a novel locus on chromosome 19. Neurogenetics 11, 313–318. doi: 10.1007/s10048-009-0230-0

PubMed Abstract | Crossref Full Text | Google Scholar

Minase, G., Miyatake, S., Nabatame, S., Arai, H., Koshimizu, E., Mizuguchi, T., et al. (2017). An atypical case of SPG56/CYP2U1-related spastic paraplegia presenting with delayed myelination. J. Hum. Genet. 62, 997–1000. doi: 10.1038/jhg.2017.77

PubMed Abstract | Crossref Full Text | Google Scholar

Mou, Y., Dong, Y., Chen, Z., Denton, K. R., Duff, M. O., Blackstone, C., et al. (2020). Impaired lipid metabolism in astrocytes underlies degeneration of cortical projection neurons in hereditary spastic paraplegia. Acta Neuropathol. Commun. 8:214. doi: 10.1186/s40478-020-01088-0

PubMed Abstract | Crossref Full Text | Google Scholar

Murala, S., Nagarajan, E., and Bollu, P. C. (2021). Hereditary spastic paraplegia. Neurol. Sci. 42, 883–894. doi: 10.1007/s10072-020-04981-7

PubMed Abstract | Crossref Full Text | Google Scholar

Nakaso, K. (2024). Roles of microglia in neurodegenerative diseases. Yonago Acta Med. 67, 1–8. doi: 10.33160/yam.2024.02.001

Crossref Full Text | Google Scholar

Oberheim, N. A., Goldman, S. A., and Nedergaard, M. (2012). Heterogeneity of astrocytic form and function. Methods Mol. Biol. 814, 23–45. doi: 10.1007/978-1-61779-452-0_3

PubMed Abstract | Crossref Full Text | Google Scholar

Olympiou, M., Sargiannidou, I., Markoullis, K., Karaiskos, C., Kagiava, A., Kyriakoudi, S., et al. (2016). Systemic inflammation disrupts oligodendrocyte gap junctions and induces ER stress in a model of CNS manifestations of X-linked Charcot-Marie-tooth disease. Acta Neuropathol. Commun. 4:95. doi: 10.1186/s40478-016-0369-5

PubMed Abstract | Crossref Full Text | Google Scholar

Orso, G., Pendin, D., Liu, S., Tosetto, J., Moss, T. J., Faust, J. E., et al. (2009). Homotypic fusion of ER membranes requires the dynamin-like GTPase atlastin. Nature 460, 978–983. doi: 10.1038/nature08280

Crossref Full Text | Google Scholar

Papadopoulos, C., Orso, G., Mancuso, G., Herholz, M., Gumeni, S., Tadepalle, N., et al. (2015). Spastin binds to lipid droplets and affects lipid metabolism. PLoS Genet. 11:e1005149. doi: 10.1371/journal.pgen.1005149

PubMed Abstract | Crossref Full Text | Google Scholar

Patel, H., Cross, H., Proukakis, C., Hershberger, R., Bork, P., Ciccarelli, F. D., et al. (2002). SPG20 is mutated in Troyer syndrome, an hereditary spastic paraplegia. Nat. Genet. 31, 347–348. doi: 10.1038/ng937

PubMed Abstract | Crossref Full Text | Google Scholar

Pehar, M., Harlan, B. A., Killoy, K. M., and Vargas, M. R. (2017). Role and therapeutic potential of astrocytes in amyotrophic lateral sclerosis. Curr. Pharm. Des. 23, 5010–5021. doi: 10.2174/1381612823666170622095802

PubMed Abstract | Crossref Full Text | Google Scholar

Pfeffer, G., Pyle, A., Griffin, H., Miller, J., Wilson, V., Turnbull, L., et al. (2015). SPG7 mutations are a common cause of undiagnosed ataxia. Neurology 84, 1174–1176. doi: 10.1212/WNL.0000000000001369

PubMed Abstract | Crossref Full Text | Google Scholar

Pfrieger, F. W. (2003). Cholesterol homeostasis and function in neurons of the central nervous system. Cell. Mol. Life Sci. 60, 1158–1171. doi: 10.1007/s00018-003-3018-7

PubMed Abstract | Crossref Full Text | Google Scholar

Prinz, M., Masuda, T., Wheeler, M. A., and Quintana, F. J. (2021). Microglia and central nervous system-associated macrophages-from origin to disease modulation. Annu. Rev. Immunol. 39, 251–277. doi: 10.1146/annurev-immunol-093019-110159

PubMed Abstract | Crossref Full Text | Google Scholar

Provenzano, F., Torazza, C., Bonifacino, T., Bonanno, G., and Milanese, M. (2023). The Key role of astrocytes in amyotrophic lateral sclerosis and their commitment to glutamate excitotoxicity. Int. J. Mol. Sci. 24:15430. doi: 10.3390/ijms242015430

PubMed Abstract | Crossref Full Text | Google Scholar

Qian, C., Tan, D., Wang, X., Li, L., Wen, J., Pan, M., et al. (2018). Peripheral nerve injury-induced astrocyte activation in spinal ventral horn contributes to nerve regeneration. Neural Plast. 2018:8561704. doi: 10.1155/2018/8561704

Crossref Full Text | Google Scholar

Rattay, T. W., Lindig, T., Baets, J., Smets, K., Deconinck, T., Söhn, A. S., et al. (2019). FAHN/SPG35: a narrow phenotypic spectrum across disease classifications. Brain 142, 1561–1572. doi: 10.1093/brain/awz102

PubMed Abstract | Crossref Full Text | Google Scholar

Ravi, K., Paidas, M. J., Saad, A., and Jayakumar, A. R. (2021). Astrocytes in rare neurological conditions: morphological and functional considerations. J. Comp. Neurol. 529, 2676–2705. doi: 10.1002/cne.25118

PubMed Abstract | Crossref Full Text | Google Scholar

Read, D. J., Li, Y., Chao, M. V., Cavanagh, J. B., and Glynn, P. (2009). Neuropathy target esterase is required for adult vertebrate axon maintenance. J. Neurosci. 29, 11594–11600. doi: 10.1523/JNEUROSCI.3007-09.2009

PubMed Abstract | Crossref Full Text | Google Scholar

Renvoise, B., Stadler, J., Singh, R., Bakowska, J. C., and Blackstone, C. (2012). Spg20−/− mice reveal multimodal functions for Troyer syndrome protein spartin in lipid droplet maintenance, cytokinesis and BMP signaling. Hum. Mol. Genet. 21, 3604–3618. doi: 10.1093/hmg/dds191

PubMed Abstract | Crossref Full Text | Google Scholar

Rodriguez-Gomez, J. A., Kavanagh, E., Engskog-Vlachos, P., Engskog, M. K. R., Herrera, A. J., Espinosa-Oliva, A. M., et al. (2020). Microglia: agents of the CNS pro-inflammatory response. Cells 9:1717. doi: 10.3390/cells9071717

PubMed Abstract | Crossref Full Text | Google Scholar

Ruano, L., Melo, C., Silva, M. C., and Coutinho, P. (2014). The global epidemiology of hereditary ataxia and spastic paraplegia: a systematic review of prevalence studies. Neuroepidemiology 42, 174–183. doi: 10.1159/000358801

PubMed Abstract | Crossref Full Text | Google Scholar

Saugier-Veber, P., Munnich, A., Bonneau, D., Rozet, J. M., le Merrer, M., Gil, R., et al. (1994). X-linked spastic paraplegia and Pelizaeus-Merzbacher disease are allelic disorders at the proteolipid protein locus. Nat. Genet. 6, 257–262. doi: 10.1038/ng0394-257

PubMed Abstract | Crossref Full Text | Google Scholar

Shimano, H., and Sato, R. (2017). SREBP-regulated lipid metabolism: convergent physiology - divergent pathophysiology. Nat. Rev. Endocrinol. 13, 710–730. doi: 10.1038/nrendo.2017.91

Crossref Full Text | Google Scholar

Simpson, M. A., Cross, H., Proukakis, C., Pryde, A., Hershberger, R., Chatonnet, A., et al. (2003). Maspardin is mutated in mast syndrome, a complicated form of hereditary spastic paraplegia associated with dementia. Am. J. Hum. Genet. 73, 1147–1156. doi: 10.1086/379522

PubMed Abstract | Crossref Full Text | Google Scholar

Soderblom, C., and Blackstone, C. (2006). Traffic accidents: molecular genetic insights into the pathogenesis of the hereditary spastic paraplegias. Pharmacol. Ther. 109, 42–56. doi: 10.1016/j.pharmthera.2005.06.001

PubMed Abstract | Crossref Full Text | Google Scholar

Soderblom, C., Stadler, J., Jupille, H., Blackstone, C., Shupliakov, O., and Hanna, M. C. (2010). Targeted disruption of the mast syndrome gene SPG21 in mice impairs hind limb function and alters axon branching in cultured cortical neurons. Neurogenetics 11, 369–378. doi: 10.1007/s10048-010-0252-7

PubMed Abstract | Crossref Full Text | Google Scholar

Sofroniew, M. V., and Vinters, H. V. (2010). Astrocytes: biology and pathology. Acta Neuropathol. 119, 7–35. doi: 10.1007/s00401-009-0619-8

PubMed Abstract | Crossref Full Text | Google Scholar

Solowska, J. M., and Baas, P. W. (2015). Hereditary spastic paraplegia SPG4: what is known and not known about the disease. Brain 138, 2471–2484. doi: 10.1093/brain/awv178

PubMed Abstract | Crossref Full Text | Google Scholar

Stevanin, G., Azzedine, H., Denora, P., Boukhris, A., Tazir, M., Lossos, A., et al. (2008). Mutations in SPG11 are frequent in autosomal recessive spastic paraplegia with thin corpus callosum, cognitive decline and lower motor neuron degeneration. Brain 131, 772–784. doi: 10.1093/brain/awm293

Crossref Full Text | Google Scholar

Stevanin, G., Santorelli, F. M., Azzedine, H., Coutinho, P., Chomilier, J., Denora, P. S., et al. (2007). Mutations in SPG11, encoding spatacsin, are a major cause of spastic paraplegia with thin corpus callosum. Nat. Genet. 39, 366–372. doi: 10.1038/ng1980

Crossref Full Text | Google Scholar

Suzuki, S. O., Iwaki, T., Arakawa, K., Furuya, H., Fujii, N., and Iwaki, A. (2011). An autopsy case of adult-onset hereditary spastic paraplegia type 2 with a novel mutation in exon 7 of the proteolipid protein 1 gene. Acta Neuropathol. 122, 775–781. doi: 10.1007/s00401-011-0916-x

PubMed Abstract | Crossref Full Text | Google Scholar

Tabata, H. (2015). Diverse subtypes of astrocytes and their development during corticogenesis. Front. Neurosci. 9:114. doi: 10.3389/fnins.2015.00114

Crossref Full Text | Google Scholar

Tao, Y., and Zhang, S. C. (2016). Neural subtype specification from human pluripotent stem cells. Cell Stem Cell 19, 573–586. doi: 10.1016/j.stem.2016.10.015

PubMed Abstract | Crossref Full Text | Google Scholar

Teo, F., Kok, C. Y. L., Tan, M. J., and Je, H. S. (2024). Human pluripotent stem cell (hPSC)-derived microglia for the study of brain disorders. A comprehensive review of existing protocols. IBRO Neurosci. Rep. 16, 497–508. doi: 10.1016/j.ibneur.2024.03.005

PubMed Abstract | Crossref Full Text | Google Scholar

Tessa, A., Battini, R., Rubegni, A., Storti, E., Marini, C., Galatolo, D., et al. (2016). Identification of mutations in /SPG52 through next generation sequencing in three families. Eur. J. Neurol. 23, 1580–1587. doi: 10.1111/ene.13085

PubMed Abstract | Crossref Full Text | Google Scholar

Van Harten, A. C. M., Phatnani, H., and Przedborski, S. (2021). Non-cell-autonomous pathogenic mechanisms in amyotrophic lateral sclerosis. Trends Neurosci. 44, 658–668. doi: 10.1016/j.tins.2021.04.008

PubMed Abstract | Crossref Full Text | Google Scholar

Van Lent, J., Vendredy, L., Adriaenssens, E., Authier, T. D. S., Asselbergh, B., Kaji, M., et al. (2023). Downregulation of PMP22 ameliorates myelin defects in iPSC-derived human organoid cultures of CMT1A. Brain 146, 2885–2896. doi: 10.1093/brain/awac475

Crossref Full Text | Google Scholar

Vasile, F., Dossi, E., and Rouach, N. (2017). Human astrocytes: structure and functions in the healthy brain. Brain Struct. Funct. 222, 2017–2029. doi: 10.1007/s00429-017-1383-5

PubMed Abstract | Crossref Full Text | Google Scholar

Whish, S., Dziegielewska, K. M., Møllgård, K., Noor, N. M., Liddelow, S. A., Habgood, M. D., et al. (2015). The inner CSF-brain barrier: developmentally controlled access to the brain via intercellular junctions. Front. Neurosci. 9:16. doi: 10.3389/fnins.2015.00016

Crossref Full Text | Google Scholar

Wiseman, J. P., Scarrott, J. M., Alves-Cruzeiro, J., Saffari, A., Böger, C., Karyka, E., et al. (2024). Pre-clinical development of AP4B1 gene replacement therapy for hereditary spastic paraplegia type 47. EMBO Mol. Med. 16, 2882–2917. doi: 10.1038/s44321-024-00148-5

PubMed Abstract | Crossref Full Text | Google Scholar

Yamanaka, K., and Komine, O. (2018). The multi-dimensional roles of astrocytes in ALS. Neurosci. Res. 126, 31–38. doi: 10.1016/j.neures.2017.09.011

PubMed Abstract | Crossref Full Text | Google Scholar

Yang, Y. J., Zhou, Z. F., Liao, X. X., Luo, Y. Y., Zhan, Z. X., Huang, M. F., et al. (2016). SPG46 and SPG56 are rare causes of hereditary spastic paraplegia in China. J. Neurol. 263, 2136–2138. doi: 10.1007/s00415-016-8256-3

PubMed Abstract | Crossref Full Text | Google Scholar

Yao, L., Zhu, Z., Zhang, C., Tian, W., and Cao, L. (2023). Gene mutations cause spastic paraplegia type 2 in three families. Ann. Clin. Transl. Neurol. 10, 328–338. doi: 10.1002/acn3.51722

PubMed Abstract | Crossref Full Text | Google Scholar

You, J., Youssef, M., Santos, J., Lee, J., and Park, J. (2023). Microglia and astrocytes in amyotrophic lateral sclerosis: disease-associated states, pathological roles, and therapeutic potential. Biology (Basel) 12:1307. doi: 10.3390/biology12101307

PubMed Abstract | Crossref Full Text | Google Scholar

Zhang, J., and Liu, Q. (2015). Cholesterol metabolism and homeostasis in the brain. Protein Cell 6, 254–264. doi: 10.1007/s13238-014-0131-3

PubMed Abstract | Crossref Full Text | Google Scholar

Zhao, X., Alvarado, D., Rainier, S., Lemons, R., Hedera, P., Weber, C. H., et al. (2001). Mutations in a newly identified GTPase gene cause autosomal dominant hereditary spastic paraplegia. Nat. Genet. 29, 326–331. doi: 10.1038/ng758

PubMed Abstract | Crossref Full Text | Google Scholar

Zhao, G., Zhu, P. P., Renvoisé, B., Maldonado-Báez, L., Park, S. H., and Blackstone, C. (2016). Mammalian knock out cells reveal prominent roles for atlastin GTPases in ER network morphology. Exp. Cell Res. 349, 32–44. doi: 10.1016/j.yexcr.2016.09.015

PubMed Abstract | Crossref Full Text | Google Scholar

Zuchner, S., Wang, G., Tran-Viet, K.-N., Nance, M. A., Gaskell, P. C., Vance, J. M., et al. (2006). Mutations in the novel mitochondrial protein REEP1 cause hereditary spastic paraplegia type 31. Am. J. Hum. Genet. 79, 365–369. doi: 10.1086/505361

PubMed Abstract | Crossref Full Text | Google Scholar

Keywords: axonal degeneration, motor neurons, astrocytes, microglia, lipid dysfunction, neuroinflammation

Citation: Vijayaraghavan M, Murali SP, Thakur G and Li X-J (2025) Role of glial cells in motor neuron degeneration in hereditary spastic paraplegias. Front. Cell. Neurosci. 19:1553658. doi: 10.3389/fncel.2025.1553658

Received: 31 December 2024; Accepted: 25 March 2025;
Published: 15 April 2025.

Edited by:

Enrique Estudillo, Manuel Velasco Suárez National Institute of Neurology and Neurosurgery, Mexico

Reviewed by:

José Luis Maldonado-García, National Autonomous University of Mexico, Mexico
Hugo González-Conchillos, Manuel Velasco Suárez Instituto Nacional de Neurología y Neurocirugía, Mexico

Copyright © 2025 Vijayaraghavan, Murali, Thakur and Li. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Xue-Jun Li, eGpsaTIzQHVpYy5lZHU=

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.