Skip to main content
Frontiers in Aging Neuroscience logoLink to Frontiers in Aging Neuroscience
. 2021 Aug 2;13:689276. doi: 10.3389/fnagi.2021.689276

In vivo Direct Conversion of Astrocytes to Neurons Maybe a Potential Alternative Strategy for Neurodegenerative Diseases

Youcui Wang 1, Xiaoqin Zhang 1, Fenghua Chen 1, Ning Song 1,*, Junxia Xie 1,*
PMCID: PMC8366583  PMID: 34408642

Abstract

Partly because of extensions in lifespan, the incidence of neurodegenerative diseases is increasing, while there is no effective approach to slow or prevent neuronal degeneration. As we all know, neurons cannot self-regenerate and may not be replaced once being damaged or degenerated in human brain. Astrocytes are widely distributed in the central nervous system (CNS) and proliferate once CNS injury or neurodegeneration occur. Actually, direct reprogramming astrocytes into functional neurons has been attracting more and more attention in recent years. Human astrocytes can be successfully converted into neurons in vitro. Notably, in vivo direct reprogramming of astrocytes into functional neurons were achieved in the adult mouse and non-human primate brains. In this review, we briefly summarized in vivo direct reprogramming of astrocytes into functional neurons as regenerative strategies for CNS diseases, mainly focusing on neurodegenerative diseases such as Parkinson’s disease (PD), Alzheimer’s disease (AD), and Huntington’s disease (HD). We highlight and outline the advantages and challenges of direct neuronal reprogramming from astrocytes in vivo for future neuroregenerative medicine.

Keywords: astrocytes, neurons, neurodegenerative diseases, in vivo, conversion

Introduction

Partly because of extensions in lifespan, the incidence of neurodegenerative diseases such as Alzheimer’s disease (AD), (Alzheimer’s disease facts and figures, Alzheimers Dement, 2021), Parkinson’s disease (PD), Huntington’s disease (HD), amyotrophic lateral sclerosis (ALS), is increasing, and these neurodegenerative diseases result in a heavy social and economic burden in the world. However, the pathological mechanisms underlying neurodegenerative diseases are unclear. A variety of factors such as genetic, environmental, and aging factors, are considered to participate in the neurodegeneration (Przedborski, 2017). Abnormal protein aggregation (Spires-Jones and Hyman, 2014; Wang et al., 2020), oxidative stress with reactive oxygen species (ROS) (Xu et al., 2016; Bi et al., 2018; Singh et al., 2019; Wang et al., 2020), iron deposition (Jiang et al., 2017; Levi et al., 2019; Chen et al., 2021b), mitochondrial dysfunction (Przedborski, 2017; Wang et al., 2020), autophagy (Chen et al., 2017, 2021a; Ren et al., 2021), decreasing of neurotrophins (Allen et al., 2013), and neuroinflammatory responses (Kwon and Koh, 2020), are recognized as common pathophysiological mechanisms, and all of those contribute to the neuronal loss in brains. Thus far, there are no effective strategies to slow neuronal degeneration, or prevent the progression of them. Logically, replenishing the lost neurons can repair the neuronal function by endogenous neurogenesis or cell transplantation (Chen et al., 2019). As we all know, neurons cannot self-regenerate, while glial cells such as astrocytes can proliferate upon injury or disease (Li and Chen, 2016; Chen et al., 2019; Lei et al., 2019). Currently, neurons may not be replaced once being damaged or degenerated in human brain (Li and Chen, 2016; Boldrini et al., 2018; Lei et al., 2019), and there is a debate on whether adult human brains have endogenous neurogenesis (Lei et al., 2019). The newborn neurons are largely restricted in a few regions such as the hippocampus and the subventricular zone (Boldrini et al., 2018; Sorrells et al., 2018), and the progenitor cells migrating toward injury sites often differentiate into glia rather neurons (Faiz et al., 2015), which has disadvantageous effect on repairing damaged or degenerative brains. Nevertheless, numerous studies have shown that embryonic stem cells (ESCs) or induced pluripotent stem cells (iPSCs)-derived transplants can survive, innervate, produce neurotransmitters, and promote functional recovery in animal models (De Gioia et al., 2020; Gantner et al., 2020; Song et al., 2020), and even clinical trials with those transplants have achieved some success (Kefalopoulou et al., 2014; Schweitzer et al., 2020). There are several serious problems that are difficult to overcome including supply and availability, ethical issues, immune rejection for ESCs, and the risk of tumor formation, genomic stability for iPSCs (Trounson and McDonald, 2015; Martin, 2017).

Shinya Yamanaka’s team was pioneered in the ground-breaking iPSC technology that mouse fibroblasts could be reprogrammed into the pluripotent stem cells by delivering four transcription factors (TFs) (Oct4, Sox2, Klf4, and c-Myc) in vitro (Takahashi and Yamanaka, 2006). Then, it was reported that human somatic cells can be converted into human iPSCs (hiPSCs) in the following years (Takahashi et al., 2007; Park et al., 2008). HiPSCs technology has no ethical concern and immune rejection, showing great promise in the regenerative strategies by mass-generating patient-specific stem cells (Stadtfeld and Hochedlinger, 2010). Based on the hiPSCs technology (Stadtfeld and Hochedlinger, 2010), direct lineage reprogramming, which converts a specific somatic cell type to another, is developed rapidly. The cells from direct lineage reprogramming are not passing through a pluripotent state, therefore, they mostly have no the ability of tumor formation (Chambers and Studer, 2011). Thereafter, it has been reported that various types of functional cells, including neurons, that can be successfully generated by a direct reprogramming strategy in vitro and even in vivo (Vierbuchen et al., 2010; Niu et al., 2013), which leads to the understanding of direct reprogramming technology as an alternative approach for rescuing neurodegeneration.

The primary consideration is the starting cell type in generating neurons via direct lineage reprogramming. Given that fibroblasts have large quantity and extensive distribution in the body, they are promising candidate cells for reprogramming, and indeed by introducing the combined expression of neural lineage-specific TFs, direct reprogramming of mice and human fibroblasts into neurons was first reported in vitro (Vierbuchen et al., 2010). However, considering the fact that (1) glial cells are proximal in lineage distance to neurons and ubiquitous distribution in adult mammalian brains; (2) they constitute over half of the total brain cells; (3) they have intrinsic proliferative capability, glial cells can serve as ideal source cells for reprogramming into neurons to achieve neuroregeneration (Amamoto and Arlotta, 2014; Guo et al., 2014). Astrocytes serve with multiple important physiological functions in the central nervous system (CNS), such as the constitution and maintenance of the blood-brain barrier (Figley and Stroman, 2011), producing and releasing of neurotrophic factors (Anderson et al., 2016), adjusting the density of ion in the extracellular space (Walz, 2000), modulating neuroinflammation (Kwon and Koh, 2020; Vadodaria et al., 2021), and even regulating neuronal activity, synaptic transmission, and neural circuit function (Bazargani and Attwell, 2016; Li et al., 2020; Vadodaria et al., 2021; Yin et al., 2021). Although astrocyte proliferation largely stops after 1 month of age in rodents (Ge et al., 2012), in response to insults, including brain trauma, stroke and neurodegeneration, astrocytes often are under a state that called astrogliosis, in which astrocytes accelerate proliferation (Liddelow and Barres, 2017). For the first time, the approach for reprogramming astrocytes into neurons has been found by high expression of the neurogenic TF Pax6 in vitro (Heins et al., 2002). Indeed, astrocytes originating from the same progenitor cells with neurons (Kriegstein and Alvarez-Buylla, 2009) are efficiently reprogrammed into functional neurons with one TF (Heins et al., 2002; Berninger et al., 2007). The above studies indicate that astrocytes may be an ideal starter cells for reprogramming into neurons to replace the lost neurons in neurodegenerative diseases.

It is fascinating that these reactive astrocytes are in situ reprogrammed into functional neurons for neural circuit reestablishment and functional recovery. Actually, direct reprogramming astrocytes into functional neurons has been attracting more and more attention in recent years (Amamoto and Arlotta, 2014; Chen et al., 2015). It has been confirmed that human astrocytes can be successfully converted into neurons or neuroblasts in vitro (Corti et al., 2012; Zhang et al., 2015; Li et al., 2016; Rivetti di Val Cervo et al., 2017; Yin et al., 2019; Qian et al., 2020). These studies provide a potential alternative approach to regenerate functional new neurons in CNS of adult mammalian by in situ directly reprogramming astrocytes into neurons. Notably, in vivo direct reprogramming of astrocytes into functional neurons were achieved in the adult mouse brain, and even in the adult non-human primate brains (Guo et al., 2014; Chen et al., 2015, 2020; Liu et al., 2015; Niu et al., 2015; Li and Chen, 2016; Srivastava and DeWitt, 2016; Brulet et al., 2017; Rivetti di Val Cervo et al., 2017; Qian et al., 2020; Wu et al., 2020; Zhou et al., 2020). In this review, we briefly summarized in vivo direct reprogramming of astrocytes into functional neurons as regenerative strategies for CNS diseases, mainly focusing on neurodegenerative diseases such as PD, AD, HD, and ALS. We highlight and outline the advantages and challenges of direct neuronal reprogramming in vivo for future neuroregenerative strategies.

In vivo Astrocyte-to-Neuron Conversion for PD

Parkinson’s disease (PD) is the second common progressive neurodegenerative after AD, and its main pathological characteristics are the progressive loss of dopaminergic neurons in the substantia nigra region and the depletion of dopamine in the striatum, which cause some major clinical motor symptoms of PD including rest tremor, rigidity, bradykinesia, and postural instability (Przedborski, 2017). So far, there is no effective treatment strategy that can protect dopaminergic neurons from neurodegeneration.

Evidence has been provided that the transplantation of dopaminergic neurons derived from the human fetal ventral midbrain, were able to partially improve the clinical motor function in PD patients (Kefalopoulou et al., 2014; Li and Chen, 2016). However, the clinical transplantation of those dopaminergic neurons is limited because of the ethical issues in harvesting human fetal tissue, immune rejection, and the risk of transplantation-induced dyskinesia (Olanow et al., 2003). In order to obtain standardizing dopaminergic neurons for clinical application, an alternative approach is to induce iPSCs into dopaminergic neurons in vitro. Those dopaminergic neurons have no immune rejection for transplantation, but have the risk of tumor if not properly controlled (Kwon and Koh, 2020). These induced dopaminergic neurons are capable to restore certain function after transplantation in animal models of PD (Chen et al., 2019). Furthermore, the transplantation of dopaminergic neurons derived from iPSCs has been achieved in a clinical trial (Schweitzer et al., 2020).

Initially, Caiazzo et al. (2011) reported that mouse and human fibroblasts can be directly converted into functional dopaminergic neurons called ‘induced dopamine-releasing’ (iDA) neurons in vitro by forced expression of three transcription factors: Mash1 (also called Ascl1), Lmx1a and Nurr1 (also called Nr4a2), together referred as ALN, in which lentiviruses expressing three factors were employed. Ascl1, Lmx1a, and Nurr1 are critical for midbrain dopaminergic neurons development (Arenas et al., 2015), and the reprogramming of astrocytes into dopaminergic neurons has been successful in vitro by delivering these three transcription factors in a single polycistronic lentiviral vector (Addis et al., 2011). However, the ALN combination converted astrocytes or NG2 glia into GABAergic neurons, rather into dopaminergic neurons in mouse brains by using the Cre-recombinase-dependent AAV vectors (Torper et al., 2015). Afterward, Rivetti di Val Cervo et al. (2017) reported a strategy that was able to generate induced dopaminergic neurons from human astrocytes with reprogramming efficiency reaching up to 16% in vitro by using overexpression of three transcription factors in a lentiviral vector, NeuroD1, Ascl1, and Lmx1a, and the microRNA miR-218, collectively called NeAL218. Moreover, in a mouse model of PD, adult striatal astrocytes transfected by lentiviruses with overexpression of the NeAL218 factors were also converted into dopaminergic neurons, and those induced dopaminergic neurons promoted the motor improvement (Rivetti di Val Cervo et al., 2017; Fyfe, 2017).

Two recent studies now provide a very simple strategy to efficiently reprogram astrocytes into iDA neurons in vivo, which only need to deplete an RNA-binding protein called PTB (polypyrimidine tract-binding protein) encoded by a single gene, polypyrimidine tract-binding protein 1 (Ptbp1) in astrocytes (Arenas, 2020; Qian et al., 2020; Zhou et al., 2020; Jiang et al., 2021). Previous studies have shown that Ptbp1 (PTB) expression is observed in most cell types, and the other two PTB family members in mammalian genomes are Ptbp2 (also called nPTB or brPTB) which is exclusively expressed in the nervous system, and Ptbp3 (also called as ROD1) which is mainly detected in immune cells (Hu et al., 2018). It has been certified that PTB-regulated loop is very important for neuronal induction, and nPTB-regulated loop for neuronal maturation (Hu et al., 2018; Qian et al., 2020). In non-neuronal cells, such as fibroblasts, astrocytes, PTB-regulated loop is closely related to neuronal induction. In this loop, RE1-silencing transcriptional factor (REST) complex prevents the expression of multiple neuron-specific transcriptional genes (for example Ascl1, NeuroD1) as well as miR-124 in non-neuronal cells. Although REST is also the target of miR-124 in such loop, such targeting is potently inhibited by PTB via direct competition of miR-124 targeting on REST components (Xue et al., 2013, 2016; Figure 1). Thus, knockdown of Ptbp1 can promote miR-124 to efficiently target REST. Considering that miR-124 also is able to target PTB, the derepression of miR-124 can further inhibits PTB and REST, leading to the expression of neuron-specific transcription factors for neurogenesis. The PTB-miR-124-REST loop, which is self-sustainable and conserved in mammals, can be triggered by Ptbp1 knockdown (Xue et al., 2016). Cultured mouse embryonic fibroblasts can be converted into functional neurons by downregulation of the expression of Ptbp1 (Xue et al., 2013), however, human adult fibroblasts are only converted into immature neurons according to the same protocol (Xue et al., 2016). The mechanism is that in adult human fibroblasts, downregulation of PTB increases the expression of nPTB, and meanwhile, high expression nPTB suppresses the transcription activator BRN2 (encoded by Pou3f2) and miR-9, both of which are required for neuronal maturation (Xue et al., 2013, 2016). Therefore, adult human fibroblast-to- neuron conversion requires both PTB-miR124-REST loop for neuronal induction and nPTB-BRN2-miR-9 loop for neuronal maturation in vitro (Xue et al., 2016). In astrocytes, during neurogenesis from neural stem cells, nPTB induced by PTB knockdown may be immediately counteracted by miR-9 (Qian et al., 2020). Further investigations found that the PTB-regulated loop in astrocytes is similar to the one in fibroblasts and the nPTB-regulated loop in astrocytes is similar to the one in neurons, and transient high expression of nPTB is observed in PTB-deficient astrocytes. These results suggest that astrocytes can be converted into neurons by Ptbp1 knockdown (Qian et al., 2020). Indeed, both isolated mouse and human astrocytes are successfully converted into mature neurons by transfection with a lentivirus vector expressing shRNA against Ptbp1 (shPTB) in vitro (Qian et al., 2020). The same effect is achieved in astrocytes isolated from the mouse cortex by using the genome-editing technique CRISPR-CasRx to deplete Ptbp1 mRNA (Zhou et al., 2020).

FIGURE 1.

FIGURE 1

In vivo reprogramming of astrocytes into functional dopaminergic neurons promotes behavioral improvement in a mouse model of PD. Astrocytes can be converted into dopaminergic neurons by high expressing three transcription factors (NeuroD1, Ascl1, and Lmx1a), and miR-218, collectively referred to as NeAL218 in mouse striatum (Fyfe, 2017; Rivetti di Val Cervo et al., 2017) or by depleting an RNA-binding protein called PTB in mouse striatum or substantia nigra (Qian et al., 2020; Zhou et al., 2020), which leads to behavioral improvement in a mouse model of PD. The molecular mechanism of astrocyte-to- dopaminergic neuron conversion by depletion PTB is that RE1-silencing transcriptional factor (REST) complex prevents the expression of multiple neuron-specific transcriptional genes (for example Ascl1, NeuroD1) as well as miR-124 in astrocytes (Hu et al., 2018). Although REST also is the target of miR-124 in such loop, such targeting is potently inhibited by PTB via direct competition of miR-124 targeting on REST components. Thus, depletion of PTB can promote miR-124 to efficiently target REST (Qian et al., 2020). Considering that miR-124 also is able to target PTB, the derepression of miR-124 can further inhibits PTB and REST, leading to the expression of neuron-specific transcription factors for neurogenesis (Qian et al., 2020). Furthermore, striatal astrocyte-to- dopaminergic neuron conversion also can be achieved by overexpression the neuron-specific transcriptional genes such as Ascl1, NeuroD1, Lmx1a, and miR-218 (Fyfe, 2017; Rivetti di Val Cervo et al., 2017). Str, Striatum; SN, Substantia Nigra; PTB, Polypyrimidine Tract-Binding protein; TFs, Transcriptional Factors; ASOs, PTB antisense oligonucleotides.

These induced dopaminergic neurons from reprogramming of astrocytes in the substantia nigra or striatum can improve motor function in a mouse model of PD (Arenas, 2020; Qian et al., 2020; Zhou et al., 2020; Jiang et al., 2021). Qian et al. transduced mouse astrocytes in the substantia nigra with an adeno-associated virus (AAV; serotype2) vector to express a small hairpin RNA (shRNA) silencing Ptbp1 expression (shPTB) (Qian et al., 2020). Qian et al. (2020) also synthesized PTB antisense oligonucleotides (ASOs) which is essential short nucleic acids and can bind to Ptbp1 mRNA, thus preventing its translation into PTB protein (Qian et al., 2020). Notably, the local transient injection of ASOs in the substantia nigra also could generate dopaminergic neuron like cells and promoted the recovery of motor functions in PD mice (Qian et al., 2020). By contrast, Zhou et al. (2020) designed an AAV expressing CasRx and two guide RNAs (gRNAs) targeting Ptbp1 mRNA to transfect astrocytes in the striatum. The results of Qian et al. (2020) suggested that the brain-region-specific transcription factors play crucial roles in the astrocyte-to-dopaminergic neuron conversion. However, because the region-specific transcription factors in the striatum are different from in the substantia nigra, this mechanism is not suitable to explain that striatal astrocytes can be converted into dopaminergic neurons in Zhou and colleagues’ study (Arenas, 2020; Qian et al., 2020; Zhou et al., 2020). Additionally, another important promoter on progress of astrocyte-to-dopaminergic neuron conversion is the local brain environment including various local brain-derived factors. Qian et al. (2020) results showed that the efficiency of astrocyte-to-dopaminergic neuron conversion was higher in vivo than in vitro. Beyond that, Zhou et al. (2020) found that Müller glia also could be converted into functional retinal ganglion cells in a mouse model of NMDA-induced retinal injury by AAV-GFAP-CasRx-Ptbp1, leading to alleviate symptoms caused by the loss of retinal ganglion cells. Besides, in vitro human fetal cortical astrocytes could be converted into different neurons by depleting Ptbp1, such as glutamatergic neurons (Qian et al., 2020). The above results indicate that glia-to-neuron conversion by PTB deleption may have a therapeutic potential for PD or other neurodegenerative diseases, even neuronal injuries such as trauma, tumor, or stroke.

However, many questions of in situ direct conversion of astrocytes to functional dopaminergic neurons remain to be answered (Arenas, 2020). For instance, astrocytes with depletion of PTB are also converted to other neuron types, such as glutamatergic neurons, GABAergic neurons and interneurons, in addition to dopaminergic neurons (Qian et al., 2020; Zhou et al., 2020). Given that Ptbp1 is also expressed in other midbrain cell types (La Manno et al., 2016; Arenas, 2020), such as endothelial and pericyte cells, ependymal cells and microglia, therefore, there is an intriguing question whether these cells can also been converted into dopaminergic neurons by PTB depletion in animal models of PD. Moreover, although more than half of the fibers project to the striatum were from induced dopaminergic neurons, the vast majority of converted dopaminergic neurons project to the septum, rather than the striatum (Arenas, 2020; Qian et al., 2020). Besides, ectopic location or project of induced dopaminergic neurons might cause side effects, such as dyskinesia because of random and irregular release of dopamine. Although the simplicity of this gene-therapy approach to neuron replacement in vivo makes it very attractive, many questions remain to be answered, and it must be cautiously optimistic for the development of regenerative medicine for neurological disorders such as PD.

In vivo Astrocyte-to-Neuron Conversion for AD

Alzheimer’s disease (AD), is the most prevalent neurodegenerative disease accounting for 60–80% of dementia cases, and it is manifested by memory loss and a decline in cognitive functions (Alzheimer’s disease facts and figures, Alzheimers Dement, 2021). Generally, the typical pathological characteristics of AD occur many years before the onset of clinical symptoms with the progressive accumulation of extracellular amyloid β (Aβ) plaques outside neurons and hyperphosphorylated tau (p-tau)-composed neurofibrillary tangles (NFTs) inside neurons, accompanied by neuronal death, synapses loss and global brain atrophy (Spires-Jones and Hyman, 2014; Zhang T. et al., 2021). It has been shown that there are several mechanisms involved in AD, such as inflammation and immune activation, lipid metabolism, endosomal vesicle recycling, and autophagy (Zhang T. et al., 2021). So far, no effective treatment is available to stop or even slow the progression of AD. Because AD is a disorder with extensive neurodegeneration, it is very difficult for cell transplantation to every area of the degenerating brain.

As for in vivo astrocyte reprogramming, it has been reported that a retrovirus expressing NeuroD1 under the control of human GFAP promoter, was constructed, and overexpression of NeuroD1 was capable of reprogramming reactive astrocytes into functional neurons in the adult mouse cortex in a mouse model of AD (Guo et al., 2014). NeuroD1-converted neurons had the ability of spontaneous and evoked synaptic responses by electrophysiological recordings. Interestingly, astrocytes were mainly converted into glutamatergic neurons whereas NG2 cells were reprogrammed into GABAergic neurons except glutamatergic neurons following NeuroD1 expression, suggesting that different glial cells may be involved in different neuronal fate due to lineage differentiation (Guo et al., 2014). Surprisingly, reactive astrocytes are much more competent and easily reprogrammed into neurons than quiescent astrocytes (Guo et al., 2014). Moreover, when cultured human astrocytes were infected with NeuroD1-retrovirus, they also can be efficiently reprogrammed into neurons, and the majority of NeuroD1-converted neurons were glutamatergic neurons (Guo et al., 2014). Unfortunately, the in vivo reprogramming of glia cells to neurons could not ultimately rescue behavioral deficits in a mouse model of AD, such as cognitive impairment.

Generally, the master transcription factors including NeuroD1, Sox2, Ngn2, and Ascl1 are closely related to guide the glia converted neuronal fate (Berninger and Jessberger, 2016; Li and Chen, 2016). NeuroD1 as a bHLH proneural transcription factor, is essential for embryonic brain development and adult neurogenesis (Cho and Tsai, 2004; Gao et al., 2009; Kuwabara et al., 2009), and can induce terminal neuronal differentiation (Boutin et al., 2010). The potentially mechanism is associated with the activation of downstream neural transcription factors (Gao et al., 2009; Kuwabara et al., 2009; Boutin et al., 2010), regulation of the Sonic hedgehog (SHH) signaling pathway (Sirko et al., 2013; Yang et al., 2019), and epigenetic modulation (Matsuda et al., 2019).

In vivo Astrocyte-to-Neuron Conversion for HD

Huntington’s disease (HD) is an autosomal dominant disease characterized by the degeneration of GABAergic medium spiny neurons (MSNs) in the striatum and other brain regions, leading to progressive motor, cognitive, and psychiatric symptoms (Wu et al., 2020). It has been shown that 95% of the total neurons within the human striatum are MSNs (Reinius et al., 2015), and MSNs are susceptible to mutant huntingtin protein (mHtt) (Rikani et al., 2014). The accumulation and aggregation of mHtt in MSNs was discovered during early degeneration in the striatum of the patients with HD (Rikani et al., 2014). Previous studies have shown that both cell transplantation (Ma et al., 2012) and gene therapy (Yang S. et al., 2017) that can reduce the mHtt level, can promote neurological function recovery in animal models of HD.

To date, MSNs have been reprogrammed from human fibroblast cells in vitro (Victor et al., 2014). It has been reported that Dlx2 is important for generating GABAergic neurons (McKinsey et al., 2013; Yang N. et al., 2017). A lentiviral vector with high expression of miR-9/9-124 plus transcription factors Dlx1 and Dlx2 under a doxycycline (Dox)-inducible promoter was generated, and human fibroblasts were converted to striatal neurons after infection with these lentiviral vector (Victor et al., 2014). Recent report has shown that the AAV (serotype 2/5, rAAV2/5) with Cre-FLEx system was constructed, and it contained a vector expressing Cre recombinase under the control of GFAP promoter and FLEx vectors possessing an inverted coding sequence of NeuroD1-P2A-mCherry or Dlx2-P2A-mCherry. Notably, in vivo direct conversion of striatal astrocytes into MSNs has been achieved by this AAV-mediated ectopic expression of NeuroD1 and Dlx2 transcription factors (Wu et al., 2020). Those converted MSNs are electrophysiologically functional and forming synaptic circuits with other neurons, also can project their axon nerve terminals to substantia nigra pars reticulata and the external globus pallidus (Wu et al., 2020). Moreover, in vivo regeneration of MSNs in the striatum could reduce the striatum atrophy, and improve the motor functions in the R6/2 HD mouse model. In addition, the life span of the R6/2 HD mouse was significant extension after NeuroD1 + Dlx2 gene therapy treatment (Wu et al., 2020).

In vivo Astrocyte-to-Neuron Conversion for ALS

Amyotrophic lateral sclerosis (ALS), also called Lou Gehrig disease, is a motor neuron degenerative disease, affecting mainly upper and lower motor neurons (MNs) in the motor cortex, brain stem, and spinal cord (Ferraiuolo et al., 2011; Meyer et al., 2014). Transactivation response DNA-binding protein 43 kDa (TDP-43)-positive cytoplasmic inclusions and bunina bodies are often presented in the lost motor neurons of patients with ALS (Neumann et al., 2006; Barp et al., 2020). The typical clinical symptoms are muscular atrophy and paralysis, ultimately leading to death caused by respiratory failure (Ferraiuolo et al., 2011; Meyer et al., 2014; Brown and Al-Chalabi, 2017). Indeed, ALS is caused by multiple factors, such as older age, household heredity factors, environmental and lifestyle factors (Brown and Al-Chalabi, 2017), and so far, ALS has been considered as a multi-system disorder, not just a motor neuron disease, and the pathogenesis of ALS still remains unclear. It has been demonstrated that many factors, such as neuroinflammation, glutamate-induced excitotoxicity, mitochondrial dysfunction, and so on, can damage the neuro-muscular junction integrity and retrograde axonal degeneration, ultimately resulting in motor neuronal degeneration (Brown and Al-Chalabi, 2017; Liu and Wang, 2017). The technology application of astrocyte-to-neuron-conversion may bring hope to develop new therapeutic strategies for ALS.

Recently, Zhao et al. (2020) reported that both human astrocytes and mouse astrocytes from an ALS mouse model carrying a SOD1 mutation could be rapidly and efficiently converted into motor neuron-like cells by treatment with defined small molecules (Kenpaullone, Forskolin, Purmorphamine, Retinoic acid) in vitro. These induced motor neuron-like cells expressed motor neuron markers and had the electrophysiological properties of neurons (Zhao et al., 2020).

In vivo Astrocyte-to-Neuron Conversion for Other CNS Diseases

Given astrocytes are widely distributed in the CNS, in vivo astrocyte-to-neuron conversion is associated with other CNS disease. For example, the single neural transcription factor NeuroD1-based gene therapy can successfully reprogram astrocytes into functional neurons in damaged spinal cord (Puls et al., 2020). More recently, AAV-based NeuroD1 gene therapy can regenerate a large number of functional neurons, reduce microglia and macrophage activation, and protect parvalbumin interneurons in the converted areas, leading to restoring brain functions after ischemic injury in adult mice and non-human primates (Chen et al., 2020; Ge et al., 2020; Zhang X. et al., 2021). Many groups have also successfully converted astrocytes into proliferative neuroblasts by overexpression of transcription factor Sox2, and then further can be differentiated into neurons in mouse brain and injured adult spinal cord (Niu et al., 2013, 2015; Su et al., 2014; Islam et al., 2015; Wang et al., 2016).

Advantages and Challenges of In vivo Astrocyte-to-Neuron Conversion

Recently, in vivo astrocyte-to-neuron conversion technology provides an alternative approach to regenerate functional new neurons in adult mammalian brains by directly reprogramming local astrocytes into neurons (Fyfe, 2017; Rivetti di Val Cervo et al., 2017; Qian et al., 2020; Zhou et al., 2020). This in situ neuron conversion technology not only provides an alternative strategy for regenerating functional new neuron by directly converting local astrocytes into neurons, but also avoid the disadvantages from the transplantation process in CNS. Given that astrocytes are abundant in CNS, the reprogramming of astrocytes into functional neurons in situ provides a new potential strategy to restore lost neuronal function, and this approach has no immunosuppression, no ethical concerns, as well as no cell transplantation. Beyond that, in vivo astrocyte-to-neuron conversion provide the possibility of targeting larger astrocyte numbers, perhaps it is possible that replace the widespread loss of neurons in neurodegenerative diseases, such as AD, which transplantation can hardly do.

Although in vivo astrocyte-to-neuron conversion technology have a promising future in the development of regenerative medicine for neurodegenerative diseases, there are some challenges and limitations. Indeed, these approaches are still in their infancy (Gascón et al., 2017). It is unclear whether human astrocytes can also be converted into neurons by these approaches in vivo, if it success, whether the converted neurons are the wanted neuron type, can survive over long periods and integrate to neighbor neurons. As for the neurodegeneration caused by gene mutations, such as familial neurodegenerative diseases (Meyer et al., 2014; Przedborski, 2017; Singleton and Gasser, 2020; Wu et al., 2020; Zhang T. et al., 2021), the gene mutation is still present under certain genetic background, and these converted neurons from astrocytes might eventually degenerate. The efficiency of the existing direct lineage reprogramming strategy in situ still needs to be improved to meet clinical requirements. There are many varieties of influencing factors on reprogramming astrocytes into neurons in vivo. First, pathological environments, such as in AD or PD, are filled with various deleterious factors, such as ROS, inflammatory cytokines (Xu et al., 2016; Singh et al., 2019; Kwon and Koh, 2020) that all affect the neuronal reprogramming, survival and integration in vivo. Second, given that reprogramming astrocytes into neurons in vivo has to take place in a complex mixture of many various cell types, and the influences of the neighboring cells play an important role in the neuronal conversion and correct integration of the converted neurons (Gascón et al., 2017). Third, considering that neurodegenerative disorders tend to occur in older people, the age-related limitations of reprogramming must be taken into consideration, for example, astrocyte senescence is observed in patients of AD (Bhat et al., 2012), and PD (Chinta et al., 2018). Fourth, the mechanisms underpinning fate conversion and neuronal subtype identity is still unclear. Moreover, it remains to be a question whether it is possible to use small molecule strategy, rather than gene therapy, to direct the neuronal reprogramming in vivo. Thus, much more work remains to be done to develop a non-invasive manner approach for fully using the power of neuronal reprogramming in neuronal replacement therapies. Last but not least, it is exciting for in vivo astrocyte-to-neuron conversion has been successful in rodent models of PD (Rivetti di Val Cervo et al., 2017; Qian et al., 2020; Zhou et al., 2020), AD (Guo et al., 2014), and HD (Wu et al., 2020), even in non-human primates with ischemic stroke (Ge et al., 2020; Zhang X. et al., 2021), and it will be looking forward to the clinical application of direct neuronal reprogramming in neurodegenerative diseases.

Author Contributions

YW wrote the first draft. XZ and FC designed the figure. NS and JX reviewed and critiqued the manuscript. All authors contributed to the article and approved the submitted version.

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.

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.

Footnotes

Funding. This work was supported by grants from the National Natural Science Foundation of China (31900745, 31771124, and 31871049), Shandong Provincial Natural Science Foundation (ZR2017BC031), and Special Fund for Youth of Applied Foundational Research Program of Qingdao (No.18-2-2-44-jch).

References

  1. Addis R. C., Hsu F. C., Wright R. L., Dichter M. A., Coulter D. A., Gearhart J. D. (2011). Efficient conversion of astrocytes to functional midbrain dopaminergic neurons using a single polycistronic vector. PLoS One 6:9. 10.1371/journal.pone.0028719 [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Allen S. J., Watson J. J., Shoemark D. K., Barua N. U., Patel N. K. (2013). GDNF, NGF and BDNF as therapeutic options for neurodegeneration. Pharmacol. Ther. 138 155–175. 10.1016/j.pharmthera.2013.01.004 [DOI] [PubMed] [Google Scholar]
  3. Alzheimer’s disease facts and figures, Alzheimers Dement (2021). 2021 Alzheimer’s disease facts and figures. Alzheimers Dement 17 327–406. 10.1002/alz.12328 [DOI] [PubMed] [Google Scholar]
  4. Amamoto R., Arlotta P. (2014). Development-inspired reprogramming of the mammalian central nervous system. Science 343:1239882. 10.1126/science.1239882 [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Anderson M. A., Burda J. E., Ren Y., Ao Y., O’shea T. M., Kawaguchi R., et al. (2016). Astrocyte scar formation aids central nervous system axon regeneration. Nature 532 195–200. 10.1038/nature17623 [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Arenas E. (2020). Method to combat Parkinson’s disease by astrocyte-to-neuron conversion. Nature 582 489–490. 10.1038/d41586-020-01817-4 [DOI] [PubMed] [Google Scholar]
  7. Arenas E., Denham M., Villaescusa J. C. (2015). How to make a midbrain dopaminergic neuron. Development 142 1918–1936. 10.1242/dev.097394 [DOI] [PubMed] [Google Scholar]
  8. Barp A., Gerardi F., Lizio A., Sansone V. A., Lunetta C. (2020). Emerging drugs for the treatment of amyotrophic lateral sclerosis: a focus on recent phase 2 trials. Expert. Opin. Emerg. Drugs 25 145–164. 10.1080/14728214.2020.1769067 [DOI] [PubMed] [Google Scholar]
  9. Bazargani N., Attwell D. (2016). Astrocyte calcium signaling: the third wave. Nat. Neurosci. 19 182–189. 10.1038/nn.4201 [DOI] [PubMed] [Google Scholar]
  10. Berninger B., Costa M. R., Koch U., Schroeder T., Sutor B., Grothe B., et al. (2007). Functional properties of neurons derived from in vitro reprogrammed postnatal astroglia. J. Neurosci. 27 8654–8664. 10.1523/jneurosci.1615-07.2007 [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Berninger B., Jessberger S. (2016). Engineering of adult neurogenesis and gliogenesis. Cold Spring Harb. Perspect. Biol. 8:a018861. 10.1101/cshperspect.a018861 [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Bhat R., Crowe E. P., Bitto A., Moh M., Katsetos C. D., Garcia F. U., et al. (2012). Astrocyte senescence as a component of Alzheimer’s disease. PLoS One 7:e45069. 10.1371/journal.pone.0045069 [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Bi M., Jiao Q., Du X., Jiang H. (2018). Glut9-mediated urate uptake is responsible for its protective effects on dopaminergic neurons in Parkinson’s disease models. Front. Mol. Neurosci. 11:21. 10.3389/fnmol.2018.00021 [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Boldrini M., Fulmore C. A., Tartt A. N., Simeon L. R., Pavlova I., Poposka V., et al. (2018). Human hippocampal neurogenesis persists throughout aging. Cell Stem Cell 22 589–599.e5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Boutin C., Hardt O., De Chevigny A., Coré N., Goebbels S., Seidenfaden R., et al. (2010). NeuroD1 induces terminal neuronal differentiation in olfactory neurogenesis. Proc. Natl. Acad. Sci. U. S. A. 107 1201–1206. 10.1073/pnas.0909015107 [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Brown R. H., Al-Chalabi A. (2017). Amyotrophic lateral sclerosis. N. Engl. J. Med. 377 162–172. [DOI] [PubMed] [Google Scholar]
  17. Brulet R., Matsuda T., Zhang L., Miranda C., Giacca M., Kaspar B. K., et al. (2017). NEUROD1 instructs neuronal conversion in non-reactive astrocytes. Stem Cell Rep. 8 1506–1515. 10.1016/j.stemcr.2017.04.013 [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Caiazzo M., Dell’anno M. T., Dvoretskova E., Lazarevic D., Taverna S., Leo D., et al. (2011). Direct generation of functional dopaminergic neurons from mouse and human fibroblasts. Nature 476 224–227. 10.1038/nature10284 [DOI] [PubMed] [Google Scholar]
  19. Chambers S. M., Studer L. (2011). Cell fate plug and play: direct reprogramming and induced pluripotency. Cell 145 827–830. 10.1016/j.cell.2011.05.036 [DOI] [PubMed] [Google Scholar]
  20. Chen G., Wernig M., Berninger B., Nakafuku M., Parmar M., Zhang C. L. (2015). In vivo reprogramming for brain and spinal cord repair. eNeuro 2 0106–0115. [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Chen L., Huang Y., Yu X., Lu J., Jia W., Song J., et al. (2021a). Corynoxine protects dopaminergic neurons through inducing autophagy and diminishing neuroinflammation in rotenone-induced animal models of Parkinson’s disease. Front. Pharmacol. 12:642900. 10.3389/fphar.2021.642900 [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Chen L., Li C., Xie J. (2021b). Axonal iron transport might contribute to iron deposition in Parkinson’s disease. Neurosci. Bull. 37 275–277. 10.1007/s12264-020-00585-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Chen L. L., Wang Y. B., Song J. X., Deng W. K., Lu J. H., Ma L. L., et al. (2017). Phosphoproteome-based kinase activity profiling reveals the critical role of MAP2K2 and PLK1 in neuronal autophagy. Autophagy 13 1969–1980. 10.1080/15548627.2017.1371393 [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Chen W., Huang Q., Ma S., Li M. (2019). Progress in dopaminergic cell replacement and regenerative strategies for Parkinson’s disease. ACS Chem. Neurosci. 10 839–851. 10.1021/acschemneuro.8b00389 [DOI] [PubMed] [Google Scholar]
  25. Chen Y. C., Ma N. X., Pei Z. F., Wu Z., Do-Monte F. H., Keefe S., et al. (2020). A NeuroD1 AAV-based gene therapy for functional brain repair after ischemic injury through in vivo astrocyte-to-neuron conversion. Mol. Ther. 28 217–234. 10.1016/j.ymthe.2019.09.003 [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Chinta S. J., Woods G., Demaria M., Rane A., Zou Y., Mcquade A., et al. (2018). Cellular senescence is induced by the environmental neurotoxin paraquat and contributes to neuropathology linked to Parkinson’s disease. Cell Rep. 22 930–940. 10.1016/j.celrep.2017.12.092 [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Cho J. H., Tsai M. J. (2004). The role of BETA2/NeuroD1 in the development of the nervous system. Mol. Neurobiol. 30 35–47. [DOI] [PubMed] [Google Scholar]
  28. Corti S., Nizzardo M., Simone C., Falcone M., Donadoni C., Salani S., et al. (2012). Direct reprogramming of human astrocytes into neural stem cells and neurons. Exp Cell Res 318 1528–1541. 10.1016/j.yexcr.2012.02.040 [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. De Gioia R., Biella F., Citterio G., Rizzo F., Abati E., Nizzardo M., et al. (2020). Neural stem cell transplantation for neurodegenerative diseases. Int. J. Mol. Sci. 21:3103. 10.3390/ijms21093103 [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Faiz M., Sachewsky N., Gascón S., Bang K. W., Morshead C. M., Nagy A. (2015). Adult neural stem cells from the subventricular zone give rise to reactive astrocytes in the cortex after stroke. Cell Stem Cell 17 624–634. 10.1016/j.stem.2015.08.002 [DOI] [PubMed] [Google Scholar]
  31. Ferraiuolo L., Kirby J., Grierson A. J., Sendtner M., Shaw P. J. (2011). Molecular pathways of motor neuron injury in amyotrophic lateral sclerosis. Nat. Rev. Neurol. 7 616–630. [DOI] [PubMed] [Google Scholar]
  32. Figley C. R., Stroman P. W. (2011). The role(s) of astrocytes and astrocyte activity in neurometabolism, neurovascular coupling, and the production of functional neuroimaging signals. Eur. J. Neurosci. 33 577–588. 10.1111/j.1460-9568.2010.07584.x [DOI] [PubMed] [Google Scholar]
  33. Fyfe I. (2017). Parkinson disease: in situ astrocyte reprogramming – simpler cell replacement therapy in PD? Nat. Rev. Neurol. 13 318–319. 10.1038/nrneurol.2017.60 [DOI] [PubMed] [Google Scholar]
  34. Gantner C. W., De Luzy I. R., Kauhausen J. A., Moriarty N., Niclis J. C., Bye C. R., et al. (2020). Viral delivery of GDNF promotes functional integration of human stem cell grafts in Parkinson’s disease. Cell Stem Cell 26 511–526.e5. [DOI] [PubMed] [Google Scholar]
  35. Gao Z., Ure K., Ables J. L., Lagace D. C., Nave K. A., Goebbels S., et al. (2009). Neurod1 is essential for the survival and maturation of adult-born neurons. Nat. Neurosci. 12 1090–1092. 10.1038/nn.2385 [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Gascón S., Masserdotti G., Russo G. L., Götz M. (2017). Direct neuronal reprogramming: achievements, hurdles, and new roads to success. Cell Stem Cell 21 18–34. 10.1016/j.stem.2017.06.011 [DOI] [PubMed] [Google Scholar]
  37. Ge L. J., Yang F. H., Li W., Wang T., Lin Y., Feng J., et al. (2020). In vivo neuroregeneration to treat ischemic stroke through NeuroD1 AAV-based gene therapy in adult non-human primates. Front. Cell Dev. Biol. 8:590008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Ge W. P., Miyawaki A., Gage F. H., Jan Y. N., Jan L. Y. (2012). Local generation of glia is a major astrocyte source in postnatal cortex. Nature 484 376–380. 10.1038/nature10959 [DOI] [PMC free article] [PubMed] [Google Scholar]
  39. Guo Z., Zhang L., Wu Z., Chen Y., Wang F., Chen G. (2014). AD–In vivo direct reprogramming of reactive glial cells into functional neurons after brain injury and in an Alzheimer’s disease model. Cell Stem Cell 14 188–202. 10.1016/j.stem.2013.12.001 [DOI] [PMC free article] [PubMed] [Google Scholar]
  40. Heins N., Malatesta P., Cecconi F., Nakafuku M., Tucker K. L., Hack M. A., et al. (2002). Glial cells generate neurons: the role of the transcription factor Pax6. Nat. Neurosci. 5 308–315. 10.1038/nn828 [DOI] [PubMed] [Google Scholar]
  41. Hu J., Qian H., Xue Y., Fu X. D. (2018). PTB/nPTB: master regulators of neuronal fate in mammals. Biophys. Rep. 4 204–214. 10.1007/s41048-018-0066-y [DOI] [PMC free article] [PubMed] [Google Scholar]
  42. Islam M. M., Smith D. K., Niu W., Fang S., Iqbal N., Sun G., et al. (2015). Enhancer analysis unveils genetic interactions between TLX and SOX2 in neural stem cells and in vivo reprogramming. Stem Cell Rep. 5 805–815. 10.1016/j.stemcr.2015.09.015 [DOI] [PMC free article] [PubMed] [Google Scholar]
  43. Jiang H., Wang J., Rogers J., Xie J. (2017). Brain iron metabolism dysfunction in Parkinson’s disease. Mol. Neurobiol. 54 3078–3101. 10.1007/s12035-016-9879-1 [DOI] [PubMed] [Google Scholar]
  44. Jiang Y., Wang Y., Huang Z. (2021). Targeting PTB as a one-step procedure for in situ astrocyte-to-dopamine neuron reprogramming in Parkinson’s disease. Neurosci. Bull. 37 430–432. 10.1007/s12264-021-00630-x [DOI] [PMC free article] [PubMed] [Google Scholar]
  45. Kefalopoulou Z., Politis M., Piccini P., Mencacci N., Bhatia K., Jahanshahi M., et al. (2014). Long-term clinical outcome of fetal cell transplantation for Parkinson disease: two case reports. JAMA Neurol. 71 83–87. 10.1001/jamaneurol.2013.4749 [DOI] [PMC free article] [PubMed] [Google Scholar]
  46. Kriegstein A., Alvarez-Buylla A. (2009). The glial nature of embryonic and adult neural stem cells. Annu. Rev. Neurosci. 32 149–184. 10.1007/978-1-4614-3801-4_6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  47. Kuwabara T., Hsieh J., Muotri A., Yeo G., Warashina M., Lie D. C., et al. (2009). Wnt-mediated activation of NeuroD1 and retro-elements during adult neurogenesis. Nat. Neurosci. 12 1097–1105. 10.1038/nn.2360 [DOI] [PMC free article] [PubMed] [Google Scholar]
  48. Kwon H. S., Koh S. H. (2020). Neuroinflammation in neurodegenerative disorders: the roles of microglia and astrocytes. Transl. Neurodegener. 9:42. [DOI] [PMC free article] [PubMed] [Google Scholar]
  49. La Manno G., Gyllborg D., Codeluppi S., Nishimura K., Salto C., Zeisel A., et al. (2016). Molecular diversity of midbrain development in mouse, human, and stem cells. Cell 167 566–580.e19. [DOI] [PMC free article] [PubMed] [Google Scholar]
  50. Lei W., Li W., Ge L., Chen G. (2019). Non-engineered and engineered adult neurogenesis in mammalian brains. Front. Neurosci. 13:131. 10.3389/fnins.2019.00131 [DOI] [PMC free article] [PubMed] [Google Scholar]
  51. Levi S., Cozzi A., Santambrogio P. (2019). Iron pathophysiology in neurodegeneration with brain iron accumulation. Adv. Exp. Med. Biol. 1173 153–177. 10.1007/978-981-13-9589-5_9 [DOI] [PubMed] [Google Scholar]
  52. Li H., Chen G. (2016). In vivo reprogramming for cns repair: regenerating neurons from endogenous glial cells. Neuron 91 728–738. 10.1016/j.neuron.2016.08.004 [DOI] [PMC free article] [PubMed] [Google Scholar]
  53. Li X., Kozielski K., Cheng Y. H., Liu H., Zamboni C. G., Green J., et al. (2016). Nanoparticle-mediated conversion of primary human astrocytes into neurons and oligodendrocytes. Biomater. Sci. 4 1100–1112. 10.1039/c6bm00140h [DOI] [PMC free article] [PubMed] [Google Scholar]
  54. Li Y., Li L., Wu J., Zhu Z., Feng X., Qin L., et al. (2020). Activation of astrocytes in hippocampus decreases fear memory through adenosine A(1) receptors. Elife 9:e57155. [DOI] [PMC free article] [PubMed] [Google Scholar]
  55. Liddelow S. A., Barres B. A. (2017). Reactive astrocytes: production function, and therapeutic potential. Immunity 46 957–967. 10.1016/j.immuni.2017.06.006 [DOI] [PubMed] [Google Scholar]
  56. Liu J., Wang F. (2017). Role of neuroinflammation in amyotrophic lateral sclerosis: cellular mechanisms and therapeutic implications. Front. Immunol. 8:1005. 10.3389/fimmu.2017.01005 [DOI] [PMC free article] [PubMed] [Google Scholar]
  57. Liu Y., Miao Q., Yuan J., Han S., Zhang P., Li S., et al. (2015). Ascl1 converts dorsal midbrain astrocytes into functional neurons in vivo. J. Neurosci. 35 9336–9355. 10.1523/jneurosci.3975-14.2015 [DOI] [PMC free article] [PubMed] [Google Scholar]
  58. Ma L., Hu B., Liu Y., Vermilyea S. C., Liu H., Gao L., et al. (2012). Human embryonic stem cell-derived GABA neurons correct locomotion deficits in quinolinic acid-lesioned mice. Cell Stem Cell 10 455–464. 10.1016/j.stem.2012.01.021 [DOI] [PMC free article] [PubMed] [Google Scholar]
  59. Martin U. (2017). Therapeutic application of pluripotent stem cells: challenges and risks. Front. Med. (Lausanne) 4:229. 10.3389/fmed.2017.00229 [DOI] [PMC free article] [PubMed] [Google Scholar]
  60. Matsuda T., Irie T., Katsurabayashi S., Hayashi Y., Nagai T., Hamazaki N., et al. (2019). Pioneer factor NeuroD1 rearranges transcriptional and epigenetic profiles to execute microglia-neuron conversion. Neuron 101 472–485. 10.1016/j.neuron.2018.12.010 [DOI] [PubMed] [Google Scholar]
  61. McKinsey G. L., Lindtner S., Trzcinski B., Visel A., Pennacchio L. A., Huylebroeck D., et al. (2013). Dlx1&2-dependent expression of Zfhx1b (Sip1, Zeb2) regulates the fate switch between cortical and striatal interneurons. Neuron 77 83–98. [DOI] [PMC free article] [PubMed] [Google Scholar]
  62. Meyer K., Ferraiuolo L., Miranda C. J., Likhite S., Mcelroy S., Renusch S., et al. (2014). Direct conversion of patient fibroblasts demonstrates non-cell autonomous toxicity of astrocytes to motor neurons in familial and sporadic ALS. Proc. Natl. Acad. Sci. U. S. A. 111 829–832. 10.1073/pnas.1314085111 [DOI] [PMC free article] [PubMed] [Google Scholar]
  63. Neumann M., Sampathu D. M., Kwong L. K., Truax A. C., Micsenyi M. C., Chou T. T., et al. (2006). Ubiquitinated TDP-43 in frontotemporal lobar degeneration and amyotrophic lateral sclerosis. Science 314 130–133. [DOI] [PubMed] [Google Scholar]
  64. Niu W., Zang T., Smith D. K., Vue T. Y., Zou Y., Bachoo R., et al. (2015). SOX2 reprograms resident astrocytes into neural progenitors in the adult brain. Stem Cell Rep. 4 780–794. 10.1016/j.stemcr.2015.03.006 [DOI] [PMC free article] [PubMed] [Google Scholar]
  65. Niu W., Zang T., Zou Y., Fang S., Smith D. K., Bachoo R., et al. (2013). In vivo reprogramming of astrocytes to neuroblasts in the adult brain. Nat. Cell Biol. 15 1164–1175. 10.1038/ncb2843 [DOI] [PMC free article] [PubMed] [Google Scholar]
  66. Olanow C. W., Goetz C. G., Kordower J. H., Stoessl A. J., Sossi V., Brin M. F., et al. (2003). A double-blind controlled trial of bilateral fetal nigral transplantation in Parkinson’s disease. Ann. Neurol. 54 403–414. 10.1002/ana.10720 [DOI] [PubMed] [Google Scholar]
  67. Park I. H., Lerou P. H., Zhao R., Huo H., Daley G. Q. (2008). Generation of human-induced pluripotent stem cells. Nat. Protoc. 3 1180–1186. [DOI] [PubMed] [Google Scholar]
  68. Przedborski S. (2017). The two-century journey of Parkinson disease research. Nat. Rev. Neurosci. 18 251–259. 10.1038/nrn.2017.25 [DOI] [PubMed] [Google Scholar]
  69. Puls B., Ding Y., Zhang F., Pan M., Lei Z., Pei Z., et al. (2020). Regeneration of functional neurons after spinal cord injury via in situ NeuroD1-mediated astrocyte-to-neuron conversion. Front. Cell Dev. Biol. 8:591883. 10.3389/fcell.2020.591883 [DOI] [PMC free article] [PubMed] [Google Scholar]
  70. Qian H., Kang X., Hu J., Zhang D., Liang Z., Meng F., et al. (2020). Reversing a model of Parkinson’s disease with in situ converted nigral neurons. Nature 582 550–556. 10.1038/s41586-020-2388-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  71. Reinius B., Blunder M., Brett F. M., Eriksson A., Patra K., Jonsson J., et al. (2015). Conditional targeting of medium spiny neurons in the striatal matrix. Front. Behav. Neurosci. 9:71. 10.3389/fnbeh.2015.00071 [DOI] [PMC free article] [PubMed] [Google Scholar]
  72. Ren H., Zhai W., Lu X., Wang G. (2021). The cross-links of endoplasmic reticulum stress, autophagy, and neurodegeneration in Parkinson’s disease. Front. Aging Neurosci. 13:288. 10.3389/fnagi.2021.691881 [DOI] [PMC free article] [PubMed] [Google Scholar]
  73. Rikani A. A., Choudhry Z., Choudhry A. M., Rizvi N., Ikram H., Mobassarah N. J., et al. (2014). The mechanism of degeneration of striatal neuronal subtypes in Huntington disease. Ann. Neurosci. 21 112–114. [DOI] [PMC free article] [PubMed] [Google Scholar]
  74. Rivetti di Val Cervo P., Romanov R. A., Spigolon G., Masini D., Martín-Montañez E., Toledo E. M., et al. (2017). Induction of functional dopamine neurons from human astrocytes in vitro and mouse astrocytes in a Parkinson’s disease model. Nat. Biotechnol. 35 444–452. 10.1038/nbt.3835 [DOI] [PubMed] [Google Scholar]
  75. Schweitzer J. S., Song B., Herrington T. M., Park T. Y., Lee N., Ko S., et al. (2020). Personalized iPSC-derived dopamine progenitor cells for Parkinson’s disease. N. Engl. J. Med. 382 1926–1932. [DOI] [PMC free article] [PubMed] [Google Scholar]
  76. Singh A., Kukreti R., Saso L., Kukreti S. (2019). Oxidative stress: a key modulator in neurodegenerative diseases. Molecules 24:1583. 10.3390/molecules24081583 [DOI] [PMC free article] [PubMed] [Google Scholar]
  77. Singleton A. B., Gasser T. (2020). The discovery of LRRK2 mutations as a cause of Parkinson’s disease. Mov. Disord. 35 551–554. 10.1002/mds.27999 [DOI] [PubMed] [Google Scholar]
  78. Sirko S., Behrendt G., Johansson P. A., Tripathi P., Costa M., Bek S., et al. (2013). Reactive glia in the injured brain acquire stem cell properties in response to sonic hedgehog. [corrected]. Cell Stem Cell 12 426–439. 10.1016/j.stem.2013.01.019 [DOI] [PubMed] [Google Scholar]
  79. Song B., Cha Y., Ko S., Jeon J., Lee N., Seo H., et al. (2020). Human autologous iPSC-derived dopaminergic progenitors restore motor function in Parkinson’s disease models. J. Clin. Invest. 130 904–920. 10.1172/jci130767 [DOI] [PMC free article] [PubMed] [Google Scholar]
  80. Sorrells S. F., Paredes M. F., Cebrian-Silla A., Sandoval K., Qi D., Kelley K. W., et al. (2018). Human hippocampal neurogenesis drops sharply in children to undetectable levels in adults. Nature 555 377–381. 10.1038/nature25975 [DOI] [PMC free article] [PubMed] [Google Scholar]
  81. Spires-Jones T. L., Hyman B. T. (2014). The intersection of amyloid beta and tau at synapses in Alzheimer’s disease. Neuron 82 756–771. 10.1016/j.neuron.2014.05.004 [DOI] [PMC free article] [PubMed] [Google Scholar]
  82. Srivastava D., DeWitt N. (2016). In vivo cellular reprogramming: the next generation. Cell 166 1386–1396. 10.1016/j.cell.2016.08.055 [DOI] [PMC free article] [PubMed] [Google Scholar]
  83. Stadtfeld M., Hochedlinger K. (2010). Induced pluripotency: history, mechanisms, and applications. Genes Dev. 24 2239–2263. 10.1101/gad.1963910 [DOI] [PMC free article] [PubMed] [Google Scholar]
  84. Su Z., Niu W., Liu M. L., Zou Y., Zhang C. L. (2014). In vivo conversion of astrocytes to neurons in the injured adult spinal cord. Nat. Commun. 5:3338. [DOI] [PMC free article] [PubMed] [Google Scholar]
  85. Takahashi K., Tanabe K., Ohnuki M., Narita M., Ichisaka T., Tomoda K., et al. (2007). Induction of pluripotent stem cells from adult human fibroblasts by defined factors. Cell 131 861–872. 10.1016/j.cell.2007.11.019 [DOI] [PubMed] [Google Scholar]
  86. Takahashi K., Yamanaka S. (2006). Induction of pluripotent stem cells from mouse embryonic and adult fibroblast cultures by defined factors. Cell 126 663–676. 10.1016/j.cell.2006.07.024 [DOI] [PubMed] [Google Scholar]
  87. Torper O., Ottosson D. R., Pereira M., Lau S., Cardoso T., Grealish S., et al. (2015). In Vivo reprogramming of striatal NG2 glia into functional neurons that integrate into local host circuitry. Cell Rep. 12 474–481. 10.1016/j.celrep.2015.06.040 [DOI] [PMC free article] [PubMed] [Google Scholar]
  88. Trounson A., McDonald C. (2015). Stem cell therapies in clinical trials: progress and challenges. Cell Stem Cell 17 11–22. 10.1016/j.stem.2015.06.007 [DOI] [PubMed] [Google Scholar]
  89. Vadodaria K. C., Mendes A. P. D., Mei A., Racha V., Erikson G., Shokhirev M. N., et al. (2021). Altered neuronal support and inflammatory response in bipolar disorder patient-derived astrocytes. Stem Cell Rep. 16 825–835. 10.1016/j.stemcr.2021.02.004 [DOI] [PMC free article] [PubMed] [Google Scholar]
  90. Victor M. B., Richner M., Hermanstyne T. O., Ransdell J. L., Sobieski C., Deng P. Y., et al. (2014). Generation of human striatal neurons by microRNA-dependent direct conversion of fibroblasts. Neuron 84 311–323. 10.1016/j.neuron.2014.10.016 [DOI] [PMC free article] [PubMed] [Google Scholar]
  91. Vierbuchen T., Ostermeier A., Pang Z. P., Kokubu Y., Südhof T. C., Wernig M. (2010). Direct conversion of fibroblasts to functional neurons by defined factors. Nature 463 1035–1041. 10.1038/nature08797 [DOI] [PMC free article] [PubMed] [Google Scholar]
  92. Walz W. (2000). Role of astrocytes in the clearance of excess extracellular potassium. Neurochem. Int. 36 291–300. 10.1016/s0197-0186(99)00137-0 [DOI] [PubMed] [Google Scholar]
  93. Wang L. L., Su Z., Tai W., Zou Y., Xu X. M., Zhang C. L. (2016). The p53 pathway controls SOX2-mediated reprogramming in the adult mouse spinal cord. Cell Rep. 17 891–903. 10.1016/j.celrep.2016.09.038 [DOI] [PMC free article] [PubMed] [Google Scholar]
  94. Wang R., Sun H., Ren H., Wang G. (2020). α-Synuclein aggregation and transmission in Parkinson’s disease: a link to mitochondria and lysosome. Sci. China Life Sci. 63 1850–1859. 10.1007/s11427-020-1756-9 [DOI] [PubMed] [Google Scholar]
  95. Wu Z., Parry M., Hou X. Y., Liu M. H., Wang H., Cain R., et al. (2020). Gene therapy conversion of striatal astrocytes into GABAergic neurons in mouse models of Huntington’s disease. Nat. Commun. 11 020–14855. [DOI] [PMC free article] [PubMed] [Google Scholar]
  96. Xu X., Song N., Wang R., Jiang H., Xie J. (2016). Preferential heme oxygenase-1 activation in striatal astrocytes antagonizes dopaminergic neuron degeneration in MPTP-intoxicated mice. Mol. Neurobiol. 53 5056–5065. 10.1007/s12035-015-9437-2 [DOI] [PubMed] [Google Scholar]
  97. Xue Y., Ouyang K., Huang J., Zhou Y., Ouyang H., Li H., et al. (2013). Direct conversion of fibroblasts to neurons by reprogramming PTB-regulated microRNA circuits. Cell 152 82–96. 10.1016/j.cell.2012.11.045 [DOI] [PMC free article] [PubMed] [Google Scholar]
  98. Xue Y., Qian H., Hu J., Zhou B., Zhou Y., Hu X., et al. (2016). Sequential regulatory loops as key gatekeepers for neuronal reprogramming in human cells. Nat. Neurosci. 19 807–815. 10.1038/nn.4297 [DOI] [PMC free article] [PubMed] [Google Scholar]
  99. Yang H., Liu C., Fan H., Chen B., Huang D., Zhang L., et al. (2019). Sonic hedgehog effectively improves oct4-mediated reprogramming of astrocytes into neural stem cells. Mol. Ther. 27 1467–1482. 10.1016/j.ymthe.2019.05.006 [DOI] [PMC free article] [PubMed] [Google Scholar]
  100. Yang N., Chanda S., Marro S., Ng Y. H., Janas J. A., Haag D., et al. (2017). Generation of pure GABAergic neurons by transcription factor programming. Nat. Methods 14 621–628. 10.1038/nmeth.4291 [DOI] [PMC free article] [PubMed] [Google Scholar]
  101. Yang S., Chang R., Yang H., Zhao T., Hong Y., Kong H. E., et al. (2017). CRISPR/Cas9-mediated gene editing ameliorates neurotoxicity in mouse model of Huntington’s disease. J. Clin. Invest. 127 2719–2724. 10.1172/jci92087 [DOI] [PMC free article] [PubMed] [Google Scholar]
  102. Yin J. C., Zhang L., Ma N. X., Wang Y., Lee G., Hou X. Y., et al. (2019). Chemical conversion of human fetal astrocytes into neurons through modulation of multiple signaling pathways. Stem Cell Rep. 12 488–501. 10.1016/j.stemcr.2019.01.003 [DOI] [PMC free article] [PubMed] [Google Scholar]
  103. Yin Y. N., Hu J., Wei Y. L., Li Z. L., Luo Z. C., Wang R. Q., et al. (2021). Astrocyte-derived lactate modulates the passive coping response to behavioral challenge in male mice. Neurosci. Bull. 37 1–14. 10.1007/s12264-020-00553-z [DOI] [PMC free article] [PubMed] [Google Scholar]
  104. Zhang L., Yin J. C., Yeh H., Ma N. X., Lee G., Chen X. A., et al. (2015). Small molecules efficiently reprogram human astroglial cells into functional neurons. Cell Stem Cell 17 735–747. 10.1016/j.stem.2015.09.012 [DOI] [PMC free article] [PubMed] [Google Scholar]
  105. Zhang T., Ma S., Lv J., Wang X., Afewerky H. K., Li H., et al. (2021). The emerging role of exosomes in Alzheimer’s disease. Ageing Res. Rev. 68:10 1321. [DOI] [PubMed] [Google Scholar]
  106. Zhang X., Chen F., Wang Y. (2021). Commentary: in vivo neuroregeneration to treat ischemic stroke through NeuroD1 AAV-based gene therapy in adult non-human primates. Front. Cell Dev. Biol. 9:648020. 10.3389/fcell.2020.590008 [DOI] [PMC free article] [PubMed] [Google Scholar]
  107. Zhao A. D., Qin H., Sun M. L., Ma K., Fu X. B. (2020). Efficient and rapid conversion of human astrocytes and ALS mouse model spinal cord astrocytes into motor neuron-like cells by defined small molecules. Mil. Med. Res. 7:42. [DOI] [PMC free article] [PubMed] [Google Scholar]
  108. Zhou H., Su J., Hu X., Zhou C., Li H., Chen Z., et al. (2020). Glia-to-neuron conversion by CRISPR-CasRx alleviates symptoms of neurological disease in mice. Cell 181 590–603. 10.1016/j.cell.2020.03.024 [DOI] [PubMed] [Google Scholar]

Articles from Frontiers in Aging Neuroscience are provided here courtesy of Frontiers Media SA

RESOURCES