Each PIP has a unique subcellular distribution
and set of functions that largely overlap with other PIPs, based on
their localization and their binding of effector molecules (Fig. 2) (Balla, 2013; Sasaki et al., 2009; Kutateladze, 2010).
PIPs regulate numerous cellular processes, including intracellular
signaling pathways, cytoskeletal rearrangements, endocytosis,
exocytosis, and autophagy (Di Paolo and De Camilli, 2006; Balla, 2013; Sasaki et al., 2009; Kutateladze, 2010; Staiano et al., 2015; Billcliff and Lowe, 2014; Burke, 2018). PIPs also play a critical role in many developmental processes (Skwarek and Boulianne, 2009). Most PIP functions are mediated through PIP-dependent effector proteins (either direct or indirect interactors) (Lemmon, 2008; Kutateladze, 2010),
among the most important of which are the Rab family of small GTPases
that act as molecular switches to direct membrane fission and fusion
events via interactions with a diverse set of Rab-specific effectors (Stenmark and Olkkonen, 2001; Grosshans et al., 2006; Hutagalung and Novick, 2011). PIPs can also serve as second messengers; for example, PtdIns(4,5)P2 is hydrolyzed by phospholipase C to form the multifunctional signaling molecules DAG and inositol-3,4,5-trisphosphate (IP3) (Payrastre et al., 2001; Di Paolo and De Camilli, 2006).
To improve the understanding of the involvement
of PIPs in neurological function, a comprehensive list of genes involved
in PtdIns binding and PIP metabolism is presented in Table S1. This list was generated from the existing literature (e.g. Di Paolo and De Camilli, 2006; Sasaki et al., 2009; Balla, 2013 and references therein) and from an InterPro database (https://www.ebi.ac.uk/interpro/) search of genes containing a PIP-binding protein domain (Mitchell et al., 2019).
There are 25 PtdIns/PIP kinases (including regulatory subunits), 31 PIP
phosphatases and 742 genes with PIP-binding domains. Among these 798
genes, mutations in 163 are associated with a confirmed human genetic
disorder as curated in the Online Mendelian Inheritance in Man (OMIM)
database (https://www.omim.org/).
Intriguingly, 83 of the disease-associated genes feature neurological
or neuromuscular involvement, highlighting the importance of PIP
regulation in neurological function (Table S2).
It is important to note that many genes with a PIP-binding domain in
this list have not been functionally validated to determine whether they
indeed bind PIPs; thus, this list should serve primarily as a reference
for future studies.
In this Review we present the human neurological disorders associated with mutations in PIP-modulating enzymes (Table 1)
and in proteins with PIP-binding domains, and discuss the mechanistic
relationship between disease and PIP metabolism by focusing on
patient-related information and data from cell and animal models. For a
more in-depth review of the regulation of PIPs and their involvement in
non-neurological disorders, we refer readers to several excellent
reviews on this topic (McCrea and De Camilli, 2009; Billcliff and Lowe, 2014; Staiano et al., 2015; Burke, 2018).
One of the best-characterized neuromuscular
disorders of PIP metabolism is the severe childhood muscle disease
X-linked myotubular myopathy (XLMTM; MIM 310400) (Laporte et al., 1997; Blondeau et al., 2000; Biancalana et al., 2003; Jungbluth et al., 2008; Lawlor et al., 2016; Dowling et al., 2009;
Amburgey et al., 2017). XLMTM is associated with profound muscle
weakness that manifests as a failure to achieve motor milestones,
wheelchair and ventilator dependence, and death before the age of 10
years in most cases (Amburgey et al., 2017).
The disorder is defined by a unique set of skeletal muscle biopsy
features that include centrally located nuclei, disorganized perinuclear
organelles and myofiber hypotrophy (Dowling et al., 2002; Lawlor et al., 2016).
The primary ultrastructural abnormality observed in XLMTM is the
disrupted appearance and function of a muscle substructure called a
triad (T-tubules and sarcoplasmic reticulum).
XLMTM is caused by mutations in the gene encoding the PtdIns3P phosphatase myotubularin (MTM1) (Laporte et al., 1997; Dowling et al., 2002; Biancalana et al., 2003; Amburgey et al., 2017). MTM1 dephosphorylates PtdIns3P and PtdIns(3,5)P2 in vitro, and regulates endolysosomal maturation and sorting (Blondeau et al., 2000; Tsujita et al., 2004; Velichkova et al., 2010; Ribeiro et al., 2011; Ketel et al., 2016). In muscle tissue, loss of MTM1 is associated with PtdIns3P accumulation (Fetalvero et al., 2013; Pierson et al., 2012; Sabha et al., 2016).
The specific interplay between its function as a 3-phosphatase, its
ability to modulate endosomal behavior and its essential role in the
maintenance of muscle structure remain unknown. This includes the
unsolved question of how the regulation of PtdIns3P and PtdIns(3,5)P2,
which primarily localize to endosomes and lysosomes, respectively,
influences the formation and maintenance of the triad, a specialized ER-
and plasma membrane-derived structure.
Vertebrate models have provided important insights into how MTM1 loss causes muscle disease, including the key observation of triad abnormalities. The first model generated was a mouse Mtm1 knockout (KO) (Buj-Bello et al., 2002), which showed that loss of Mtm1 protein results in muscle pathology, even though the gene is ubiquitously expressed. The Mtm1
KO mouse has subsequently been instrumental for testing treatment
strategies, including the evaluation of adeno-associated virus
(AAV)-based gene replacement therapy (Buj-Bello et al., 2008; Childers et al., 2014). It was also used to identify Pik3c2b, which encodes a PIP kinase, as a genetic modifier of the disease (Sabha et al., 2016). In mice, Pik3c2b KO both prevents and completely reverses the Mtm1 KO phenotype (Sabha et al., 2016). Interestingly, the knocking out of Pik3c3, which encodes another phosphoinositide 3-kinase (PI3K), significantly worsens the Mtm1 KO phenotype (Sabha et al., 2016).
These results suggest that MTM1 and PIK3C2B co-regulate a specific pool
of endosomal PtdIns3P that is distinct from that regulated by PIK3C3 (Cao et al., 2007; Gavriilidis et al., 2018).
PIK3C3 can generate PtdIns3P at several membrane compartments,
including nascent autophagosomal membranes and various intermediates of
the endolysosomal pathway (Reifler et al., 2014; Ketel et al., 2016), and conditional KO of Pik3c3 in skeletal muscle causes lysosomal dysfunction and disrupts autophagy (Reifler et al., 2014). These phenotypes associated with Pik3c3 KO might explain the worsening of the Mtm1 phenotype in double mutants, as both zebrafish and mouse MTM1 mutants show impaired autophagic flux (Dowling et al., 2010; Fetalvero et al., 2013).
Two zebrafish models of XLMTM have also been created (Dowling et al., 2009; Sabha et al., 2016). An mtm1
morphant was instrumental in uncovering the triad abnormalities that
are now considered a key pathological change in this disease (Dowling et al., 2009).
This model was also used to identify and evaluate drug therapies, such
as pyridostigmine, which was shown to have efficacy in the mouse model
and is now routinely used in an off-label manner in patients with XLMTM (Dowling et al., 2012). Subsequently, an exon 5 mtm1 mutant was generated and used to demonstrate that pharmacological and genetic perturbation of specific PI3Ks ameliorates mtm1 phenotypes (Sabha et al., 2016). There is also a Labrador dog model with an MTM1 mutation (Beggs et al., 2010).
AAV gene replacement therapy has been tested in this model, which has,
in turn, provided the critical safety and proof-of-concept data
necessary for translation of this therapy to a first-in-human clinical
trial (Childers et al., 2014).
XLMTM belongs to a group of myopathies called
centronuclear myopathies (CNM), which are unified by similar features on
muscle biopsy (Jungbluth and Gautel, 2014; Ceyhan-Birsoy et al., 2013; Bitoun et al., 2005; Nicot et al., 2007; Nance et al., 2012; Majczenko et al., 2012; Agrawal et al., 2014). Interestingly, several of the genetic causes of CNM affect membrane trafficking and potentially PIP regulation (Bitoun et al., 2005; Nicot et al., 2007; Gonorazky et al., 2018). For example, dominant mutations in dynamin 2 (DNM2) and recessive mutations in bridging integrator 1 (BIN1) are associated with CNM (Bitoun et al., 2005; Nicot et al., 2007); both proteins physically interact, both have PtdIns(4,5)P2-binding motifs, and mutations in both alter their PIP binding (Zhao et al., 2018). In fact, DNM2, BIN1 and MTM1 are all likely to interact (Nicot et al., 2007; Royer et al., 2013). DNM2 levels are increased in XLMTM, and when its levels are reduced in Mtm1 KO mice, either through germline Dnm2 mutation or by using antisense oligonucleotides, most aspects of the Mtm1 KO disease phenotype improve (Cowling et al., 2014; Tasfaout et al., 2018).
A mouse Bin1 KO mutant has been generated that has a recessive perinatal lethal phenotype and skeletal muscle weakness (Muller et al., 2003). Intriguingly, this severe phenotype is rescued by lowering Dnm2 levels using a similar strategy to that employed for Dnm2 reduction in Mtm1 KO mice (Cowling et al., 2017). These data imply that Mtm1 and Bin1 negatively regulate Dnm2 in mice. In addition, Bin1 overexpression rescues the Mtm1 KO mouse phenotype (Lionello et al., 2019),
further supporting a model of critical interplay and counterbalancing
between these three proteins. The exact nature of this interplay is
still not understood, nor is it clear how these interactions contribute
to the CNM disease process.
Of note, the field is currently hindered by the
lack of a pre-clinical model of DNM2-related CNM that phenocopies the
clinical aspects of the human disease and thus could be used to develop
and test potential therapies. Other models exist, including a mouse Dnm2 knock-in with a mild phenotype (Buono et al., 2018; Fongy et al., 2019), a zebrafish morphant (Bragato et al., 2016) and a transient dominant dnm2 zebrafish model (Gibbs et al., 2014), but additional models are clearly needed.
In addition, a very rare form of CNM with
cardiomyopathy (found in three unrelated individuals) is caused by
recessive mutations in the striated muscle preferentially expressed
protein kinase (SPEG) gene (Agrawal et al., 2014). SPEG is a serine/threonine kinase that interacts with MTM1 as assessed by a two-hybrid assay (Agrawal et al., 2014) and by co-immunoprecipitation (Agrawal et al., 2014; Gavriilidis et al., 2018). A mouse KO of Speg resembles human CNM clinically and histopathologically and has a severe phenotype similar to that of the Mtm1 KO mouse (Liu et al., 2009).
Given the phenotypic similarity between XLMTM and patients with SPEG
mutations, and the physical interaction between SPEG and MTM1, it is
tempting to speculate that SPEG plays some role in the regulation of PIP
metabolism and/or endolysosomal trafficking.
Charcot-Marie-Tooth (CMT) disease is a
degenerative disorder of the peripheral nervous system with a global
prevalence of 1/2500 (Bird et al., 1998a; Timmerman et al., 2014; Magy et al., 2018).
It usually presents as a slowly progressing disease, although age of
onset varies from infancy to adulthood and severity can range from mild
walking difficulties to a complete inability to ambulate independently (Bird et al., 1998a; Timmerman et al., 2014; Magy et al., 2018).
Typical symptoms include distal muscle weakness and sensory loss,
distal muscle atrophy and skeletal deformities including, in particular,
pes cavus and hammertoes (Bird et al., 1998a).
CMT is categorised into subtypes based on nerve
pathology (affecting either the myelinating Schwann cell or the axon
that it ensheaths) and mode of inheritance (dominant, recessive or
X-linked). Nerve pathology is typically defined by nerve conduction
studies: slow conduction velocities signify demyelinating CMT, whereas
decreased action potential amplitudes signify axonal CMT (Bird et al., 1998a). Given that CMT is extremely genetically heterogeneous, with causative mutations in more than 80 genes identified to date (Timmerman et al., 2014; Magy et al., 2018), there has been a gradual shift towards a gene-based classification system (Magy et al., 2018).
The proteins encoded by CMT genes have diverse cellular and molecular
functions, the elucidation of which has also led to seminal insights
into the cell biology of the peripheral nervous system (Tazir et al., 2014).
Mutations in genes involved in PtdIns metabolism
cause autosomal recessive subtypes of CMT (i.e. CMT type 4; CMT4). These
subtypes generally represent severe demyelinating peripheral
neuropathies, with onset during early childhood that cause profound
disability (Bird et al., 1998b). CMT4B1 (MIM 601382) is caused by mutations in the myotubularin family member MTMR2 (Bolino et al., 2000), whereas CMT4B2 (MIM 604563), which can also feature glaucoma, is caused by mutations in MTMR13 (SBF2) (Senderek et al., 2003), which encodes a phosphatase-dead myotubularin-related protein that interacts directly with MTMR2 (Robinson and Dixon, 2005). CMT4B3 (MIM 615284), which has a similar presentation to the other two subtypes, is caused by mutations in MTMR5 (SBF1) (Nakhro et al., 2013), which also encodes a catalytically inactive myotubularin family member that interacts with MTMR2 (Kim et al., 2003).
These three subtypes share a distinctive nerve pathology, featuring
generalized loss of large myelinated nerve fibers and focally folded
myelin sheaths (Bird et al., 1998b).
MTMR2/5/13 are all members of the myotubularin gene family, of which MTM1
is the canonical member. As with MTM1, MTMR2 is a 3-phosphatase located
at the endosome that acts on both PtdIns3P and PtdIns(3,5)P2. Its stability and activity are modulated by MTMR5 and MTMR13 (Kim et al., 2003; Robinson and Dixon, 2005).
MTMR2 is implicated in endosomal traffic, as is MTM1, although some
evidence suggests that MTM1 and MTMR2 act on separate endosomal
fractions with different PIP preferences in vitro (Cao et al., 2008). That said, when Mtmr2 is overexpressed in the skeletal muscle of the Mtm1 KO mouse, it can rescue the KO phenotype (Raess et al., 2017), indicating functional redundancy between these two MTMR family members.
In Schwann cells (the cell type affected in CMT4B), MTMR2 and MTMR13 localize to the cytoplasm and to endomembrane punctae (Ng et al., 2013).
The role(s) of MTMR2, MTMR13 and MTMR5 in normal Schwann cell biology,
and why their loss causes demyelination, is incompletely understood. In
addition, it is not clear why mutations of the two modulators of MTMR2
(MTMR5 and MTMR13) result in the same phenotype and do not exhibit
functional compensation.
Mtmr2, Mtmr5 and Mtmr13
mouse KOs have been generated that phenocopy each other and show
initial, early-onset dysmyelination [at postnatal day 3 (P3)] with
myelin outfoldings, followed by later nerve degeneration (Bolino et al., 2004; Bonneick et al., 2005; Firestein et al., 2002; Robinson et al., 2008; Tersar et al., 2007).
By using these mice, as well as cell culture overexpression, one study
has postulated that these proteins regulate epidermal growth factor
receptor (EGFR) recycling and thus phospho-Akt signaling (Berger et al., 2011).
However, another study that examined peripheral nerve extracts from
these KO mutant mice at a different time point did not find evidence of
altered Akt signaling (Ng et al., 2013),
suggesting a lack of EGF modulation. An alternative hypothesis has been
proposed, based on two-hybrid and direct binding assays, that MTMR2
interacts with the scaffold protein discs large 1 (Dlg1) and the motor
protein kinesin 13B (Kif13b) (Bolino et al., 2004; Bolis et al., 2009). These studies determined that Dlg1 and Kif13b are mis-expressed and mis-localized in Mtmr2
KO mice and postulated, based on these molecular interactions and the
association of Dlg1 with the exocyst protein Sec8 (Exoc4), that MTMR2
negatively regulates myelin membrane formation, counterbalancing the
normal synthesis of myelin.
Mtmr2 KO mice have been used to identify
novel therapeutic targets for CMT4B. Haploinsufficiency of the PIP
5-phosphatase-encoding gene Fig4, which is required for both the synthesis and breakdown of PtdIns(3,5)P2, lowers PtdIns(3,5)P2 levels and ameliorates aspects of the Mtmr2 KO phenotype in mice (Vaccari et al., 2011). Thus, Fig4 and Mtmr2 genetically interact. A recent study (Bolino et al., 2016)
has also demonstrated that an inhibitor (apilimod) of the PIP 5-kinase
PIKFYVE, which interacts with FIG4 and generates PtdIns(3,5)P2, can improve myelination of Mtmr2 KO-derived Schwann cells in vitro. Apilimod appears to be safe in humans (Gayle et al., 2017; Krausz et al., 2012) and future studies aim to assess its efficacy in vivo in Mtmr2
KO mice. Worth noting is the fact that MTMR2 and FIG4, mutations that
are discussed extensively in the next section, have a complex
relationship. Whereas Fig4 haploinsufficiency improves the neuropathy phenotype of Mtmr2 KO mice, Mtmr2 mutation does not appear to positively modulate the Fig4 phenotype (and in fact increases motor neuron loss) (Vaccari et al., 2011, 2015).
Another potential treatment strategy has been
developed based on the role of neuregulin 1 (Nrg1) type III in
regulating myelin formation and the thickness of the myelin sheath. The
observation of over-folded myelin (a potentially ‘hypermyelinating’
phenotype) in CMT4B1 led Bolino and colleagues to propose the inhibition
of Nrg1 signaling as a treatment (Bolino et al., 2016).
They tested this hypothesis using Niaspan, an FDA-approved drug that
activates TNF-alpha-converting enzyme, an Nrg1 pathway inhibitor, and
found that it rescues the myelin defect observed in Mtmr2 KO mice (Bolino et al., 2016).
Another subtype of CMT type 4, called CMT4J, is caused by recessive mutations in FIG4 (also known as SAC3) (Chow et al., 2007; Nicholson et al., 2011).
CMT4J is characterized by variable age of onset, often with asymmetry
in the muscle groups affected, and periods of rapid clinical
deterioration (Li et al., 2013). Needle electromyography studies reveal non-uniform slowing of conduction velocities and evidence of denervation (Li et al., 2013).
Genetically, patients with CMT4J typically carry one missense change
(most commonly the recurrent p.I41T mutation) and one nonsense mutation (Chow et al., 2007; Nicholson et al., 2011). Two FIG4 nonsense mutations cause a severe neurodegenerative syndrome, Yunis-Varon Syndrome (YVS; MIM 216340) described below (Campeau et al., 2013), with features that are distinct from CMT4J.
FIG4 is a PtdIns(3,5)P2-specific 5-phosphatase (Rudge et al., 2004)
that exists in a molecular complex with the scaffold protein VAC14 and
the 5-kinase PIKFYVE, which together regulate the metabolism of
PtdIns(3,5)P2 (Gary et al., 2002; Rudge et al., 2004; Jin et al., 2008).
Beyond evolutionary explanations, the precise reason that a kinase and
phosphatase with opposing roles exist in the same complex is still
unknown; however, it is hypothesized that this arrangement enables
dynamic spatiotemporally regulated control of PtdIns(3,5)P2 (Jin et al., 2008). Much of what we know about FIG4 has emerged from studies in yeast (Gary et al., 2002; Rudge et al., 2004; Jin et al., 2008) and from a spontaneous mouse mutant strain called pale tremor (plt) (Chow et al., 2007). The plt
mouse has an abnormal coat color, manifests a progressive
neurodegenerative phenotype that includes limb weakness, spasticity and
early death, and extensive vacuolization in the neurons of the central
and peripheral nervous system (Chow et al., 2007). The underlying genetic cause of the plt phenotype is an insertion mutation at the Fig4
locus that completely abrogates Fig4 protein production. Because of the
striking peripheral nerve phenotype seen in these mice, Meisler and
colleagues screened patients with CMT and identified FIG4 mutations in four unrelated individuals (Chow et al., 2007). Subsequently, numerous CMT patients have been found to have biallelic FIG4 mutations (i.e. CMT4J).
Loss of Fig4 in mice is associated with decreased levels of PtdIns(3,5)P2 and with slight increases in PtdIns3P, reflecting the role of FIG4 in stabilizing PIKFYVE expression and function. Indeed, a Pikfyve
hypomorphic mouse with 65-90% reduction in PIKFYVE protein levels
across tissues shows moderate to severe neurodegeneration and dies
perinatally (Zolov et al., 2012),
highlighting the importance of PIKFYVE in neuronal development.
Likewise, PIKFYVE likely directly generates all of the PtdIns(3,5)P2 in the cell, which is then used to generate the majority of PtdIns5P (Zolov et al., 2012).
The VAC14 gene encodes the FIG4 and PIKFYVE scaffolding protein VAC14. Vac14 mutant mice (one KO model and one missense mutant) have a similar phenotype to plt mice (Zhang et al., 2007; Jin et al., 2008). Importantly, Vac14 mutants show reduction in PtdIns(3,5)P2 levels (Zhang et al., 2007; Jin et al., 2008).
Of note, two patients with a severe neurodegenerative phenotype of
progressive debilitating dystonia, loss of motor milestones and deep
gray matter changes on brain MRI, characterized as striato-nigral
degeneration, childhood-onset (MIM 617054), were reported to have biallelic (compound heterozygous) mutations in VAC14 (Lenk et al., 2016). In addition, one patient with YVS (discussed below) harbored mutations in VAC14 (Lines et al., 2017). Taken together, these data suggest that mutations in FIG4 and VAC14
result in depletion of PtdIns(3,5)P2 via the loss of PIKFYVE activity
(despite the role of FIG4 as a 5-phosphatase) and are associated with
similar severe neurodegenerative phenotypes.
On a cellular level, reduction in PtdIns(3,5)P2 affects the PIP-sensitive lysosomal calcium channel TRPML1 (MCOLN1; Li et al., 2016). Reduced PtdIns(3,5)P2
results in reduced calcium release from TRPML1; this calcium flux is
required for the proper maturation of lysosome vesicles, and its
reduction is associated with impaired lysosomal motility and tubulation
and aberrant autophagy via impaired autophagosome-lysosome fusion (Li et al., 2016). Of note, TRPML1 mutations result in the disease mucolipidosis type 4 (MIM 252650), which features neuronal vacuolization but has different clinical manifestations compared to FIG4-associated CMT4J or YVS (Bargal et al., 2000). TRPML1 agonists have been developed and provide interesting candidates for treating FIG4-related
disorders. In fact, a chemical agonist that increases calcium flux from
TRPML1 can reduce vacuole formation in fibroblasts and in dorsal root
ganglia explants derived from Fig4 mice (Zou et al., 2015).
Despite the clear functional interplay between FIG4 and TRPML1, why
mutations in these genes cause different phenotypes in not known, though
it likely indicates that each gene product has functions beyond
lysosomal PtdIns(3,5)P2-dependent calcium release via TRPML1.
Atg18p is also part of the FIG4-VAC14-PIKFYVE complex in yeast, acting as a negative regulator (Efe et al., 2007; Jin et al., 2008).
The mammalian ATG18 homologs are the WIPI (WD40 interacting with
phosphoinositides) proteins. WIPI 1-4 contain WIPI and PROPPIN
(β-propellers that bind polyphosphoinositides) domains (Jin et al., 2008) that mediate interaction with PtdIns(3,5)P2 and PtdIns3P (Busse et al., 2015). Mutations in two WIPI proteins, WIPI3 (WDR45B) and WIPI4 (WDR45), cause neurodegenerative disorders (MIM 617977 and MIM 300894, respectively; Table S1) (Haack et al., 2012; Suleiman et al., 2018). This suggests that the loss of regulation of the FIG4-VAC14-PIKFYVE complex could be involved in these disorders.
Since the discovery of FIG4 mutations in CMT4J patients, FIG4 mutations have been associated with other conditions, such as YVS, which is caused by recessive FIG4 hypomorphic mutations (Nakajima et al., 2013; Campeau et al., 2013).
Patients present with prenatal growth retardation and have multiple
congenital anomalies, including microcephaly, cataracts, sparse pale
hair, facial dysmorphisms and micrognathia (Nakajima et al., 2013; Campeau et al., 2013).
Many have congenital heart defects, absent or hypoplastic clavicles,
and transverse upper and lower limb anomalies, and most die in infancy (Campeau et al., 2013).
Survivors have severe global developmental delay and frequently present
brain malformations, including agenesis of the corpus callosum,
arhinencephaly, frontal lobe atrophy and pachygyria. On autopsy,
cytoplasmic vacuoles that represent endolysosomal bodies are found in
the bone, muscle and brain tissue of patients (Campeau et al., 2013).
To date, one family with bilateral temporo-occipital polymicrogyria associated with FIG4 mutation has been reported (Baulac et al., 2014). The six affected individuals in this family carried a homozygous missense FIG4
mutation predicted to cause loss of protein function. All presented
with complex partial seizures, with onset ranging from birth to 24 years
old; two had a psychotic disorder with aggressiveness and delirium, and
another two committed suicide. Brain MRI in three patients showed
temporo-occipital polymicrogyria. Combined with the MRI changes observed
in YVS, these findings suggest that FIG4 mutations can cause a spectrum of brain malformations potentially associated with impaired neuronal migration.
Lastly, heterozygous FIG4 mutations have been reported to cause amyotrophic lateral sclerosis (ALS; MIM 612577), a progressive disorder associated with motor neuron pathology (Chow et al., 2009). Nine individuals, six with sporadic and three with familial disease, from a cohort of 473 ALS patients were found to have FIG4 mutations. The average age of disease onset was 56±14 years. Each had a single, heterozygous FIG4
mutation, two of which were stop codons, two consensus splice-site
variants and five missense mutations; two of the missense mutations were
likely pathogenic (Chow et al., 2009). In addition, two FIG4 missense mutations have been found in a patient with an aggressive form of ALS (Bertolin et al., 2018). However, FIG4 mutations relatively rarely cause ALS. Other groups did not identify pathogenic mutations in FIG4 after screening 80 Italian ALS patients (Verdiani et al., 2013), 15 Taiwanese patients with familial ALS (Tsai et al., 2011) and eight ALS families from southeastern China (Liu et al., 2014).
Genotype-phenotype correlations have not been
explored in depth for FIG4-related disorders, largely because mutations
in FIG4 are rare, particularly outside of CMT4J. One observation is the
association between the amount of protein expression and severity, as
seen with YVS (caused by biallelic nonsense mutations and thus predicted
to result in little or no protein expression) versus CMT4J (in which
one mutated allele is typically a missense mutation). Further work is
needed to establish genotype-phenotype relationships and, in addition,
to define the impact on protein function of missense mutations
associated with non-CMT/YVS phenotypes.
Lethal congenital contracture syndromes (LCCSs)
are rare conditions associated with severe joint contractures (such as
arthrogryposis multiplex congenita), reduced or absent limb movements,
and lethality at or soon after birth (Narkis et al., 2007; Koutsopoulos et al., 2013). LCCS3 (MIM 611369) is associated with mutations in PIP5K1C. PIP5K1C encodes a type I kinase, PIPK1γ, responsible for the synthesis of PtdIns(4,5)P2 from PtdIns4P (van den Bout and Divecha, 2009; Lacalle et al., 2015).
Narkis and colleagues described two families with LCCS3: one large
consanguineous family with nine affected individuals and another family
with one affected male (Narkis et al., 2007).
Patients had multiple joint contractures with severe muscle wasting and
atrophy, but they did not exhibit features seen in other LCCSs, such as
hydrops, fractures or multiple pterygia (Narkis et al., 2007).
The specific mutation described in both families was the biallelic
substitution p.D253N in the PIPK1γ kinase domain that abrogates kinase
activity (Narkis et al., 2007).
The hypothesized pathogenic mechanism of PIP5K1C mutations concern the known role of PtdIns(4,5)P2 in synaptic vesicle trafficking and in clathrin coat dynamics (Di Paolo et al., 2004; Narkis et al., 2007). PtdIns(4,5)P2 directly participates in vesicle budding and endocytosis, likely in a dynamin-1-dependent manner (Saheki and De Camilli, 2012). This is in keeping with the phenotype of Pip5k1c KO mice, which have decreased PtdIns(4,5)P2 levels in the brain and impaired synaptic vesicle dynamics, including slower rates of vesicle endocytosis and recycling (Di Paolo et al., 2004). Another Pip5k1c
KO mouse manifests neural tube closure defects, cardiac abnormalities
and perinatal lethality within the first 24 h after birth and shows
reduced ability to produce PtdIns(4,5)P2 levels in the brain (Wang et al., 2007).
Interestingly, LCCS5 is caused by recessive mutations in the large GTPase DNM2 (MIM 615368) (Koutsopoulos et al., 2013).
This observation might suggest that DNM2 acts in the same pathway as
PIPK1γ, given that the pleckstrin homology (PH) domains in dynamin
GTPases bind to PtdIns(4,5)P2 (Barylko et al., 1998) and dynamins are required for fission of clathrin-coated vesicles (Saheki and De Camilli, 2012). It is plausible that DNM2 uses PtdIns(4,5)P2
generated by PIPK1γ to finalize the fission step of clathrin-coated
vesicles during synaptic vesicle formation and, when either gene is
mutated, synaptic vesicles fail to form and/or recycle efficiently.
Future studies should consider systems-based approaches to learn how
these genes (and other genes unrelated to PIPs) interact in models of
LCCS.
Dent disease type 2 and Lowe syndrome
(oculocerebrorenal syndrome) are allelic conditions caused by mutations
in the X-linked gene OCRL, which encodes a PtdIns(4,5)P2
5-phosphatase. Lowe syndrome is characterized by ophthalmological
findings, including congenital cataract, glaucoma or microphthalmia, and
renal abnormalities, such as proximal tubulopathy, rickets and renal
Fanconi syndrome (Lewis et al., 2001). Patients with Lowe syndrome have neonatal hypotonia, and most develop epilepsy and mental retardation (Lewis et al., 2001).
The milder form of Lowe syndrome is Dent disease, which manifests
primarily with renal findings, including low molecular weight
proteinuria and hypercalciuria; patients also occasionally have
cognitive and behavioral problems (Lewis et al., 2001; Hichri et al., 2011; Hoopes et al., 2005). Dent disease mutations generally result in a truncated protein that retains some catalytic activity (Shrimpton et al., 2009),
whereas Lowe syndrome mutations are frequently characterized by loss of
protein expression and/or catalytic activity. Modifier genes might also
influence disease severity (Bökenkamp et al., 2009).
Much of our knowledge of OCRL function, as well as of the pathogenic mechanisms caused by OCRL mutations, has come from cell and animal models. OCRL localizes primarily to endosomes and the Golgi apparatus (Ungewickell et al., 2004; Vicinanza et al., 2011) as well as to primary cilia in retinal pigment epithelial cells and kidney tubular cells (Luo et al., 2012).
Loss of OCRL function is associated with structural and functional
abnormalities in the early endosome and with the impaired recycling of
multiple receptors (Ungewickell et al., 2004; Vicinanza et al., 2011). Loss of OCRL also results in accumulation of PtdIns(4,5)P2 (Zhang et al., 1998), specifically in the transition zone of primary cilia (Prosseda et al., 2017) and in endolysosomes (Festa et al., 2018). PtdIns(4,5)P2
accumulation is hypothesized to impair endosomal trafficking to cause
disease by increasing endosomal filamentous (F-) actin or by altering
F-actin dynamics, which then affects multiple cellular processes (Vicinanza et al., 2011), including cilia formation and function. A transgenic Ocrly/−;Inpp5b−/− double KO mouse expressing human INPP5B was developed as a model of Lowe syndrome and Dent disease (Bothwell et al., 2011) and was used to confirm accumulated PtdIns(4,5)P2 in endolysosomes, hyper-polymerization of F-actin and impaired receptor trafficking (Festa et al., 2018).
Interestingly, this transgenic model was developed because the first Ocrl KO mouse generated had no obvious phenotype because of functional compensation by INPP5B, another PtdIns(4,5)P2 5-phosphatase (Jänne et al., 1998). This was confirmed via the generation of Ocrl/Inpp5b double KO mice, which have a lethal embryonic phenotype (Jänne et al., 1998). Such compensation appears to depend on tissue-specific expression patterns of OCRL and INPP5B (Bernard and Nussbaum, 2010). Indeed, Luo and colleagues observed that OCRL and INPP5B have differential co-expression patterns between human and mouse eye tissue (Luo et al., 2013). Furthermore, they show that ocrl and inpp5b act synergistically in primary ciliogenesis, suggesting genetic compensation in zebrafish (Luo et al., 2013). Collectively, these data illustrate the possibility that OCRL-related
disorders could be rescued by increasing levels of INPP5B, perhaps via
AAV gene delivery or via drugs known to upregulate INPP5B expression in Lowe syndrome-affected tissues.
In zebrafish, mutation of ocrl causes a phenotype with many of the human disease features, including cystic brain lesions, seizures and kidney abnormalities (Ramirez et al., 2012). This model was subsequently found to have mild defects in cilia formation and impaired endocytic recycling (Oltrabella et al., 2015). Intriguingly, the ocrl mutants accumulate PtdIns(4,5)P2, which can be rescued through morpholino knockdown of the PIP 5-kinase pip5k1ab, suggesting that PIP5K could also be a therapeutic target for Lowe and Dent syndromes (Oltrabella et al., 2015).
Mutations in INPP5E, which encodes a PtdIns(4,5)P2 and PtdIns(3,4,5)P3 5-phosphatase, can cause Joubert syndrome (MIM 213300) and MORM syndrome (which stands for mental retardation, truncal obesity, retinal dystrophy and micropenis; MIM 610156) (Bielas et al., 2009; Jacoby et al., 2009).
Both conditions are autosomal recessive and feature abnormal cilia
formation, and are thus classed as ciliopathies. Joubert syndrome is
characterized by cerebellar hypoplasia and abnormal brain stem
development (Parisi and Glass, 2003; Valente et al., 2005).
It is usually accompanied by developmental delay, atypical eye
movements and a dysregulated breathing pattern, which causes episodic
tachypnea or apnea. Patients can also present with retinal dystrophy,
renal disease, ocular colobomas, occipital encephalocele, hepatic
fibrosis, polydactyly, oral hamartomas and endocrine abnormalities (Parisi and Glass, 2003). MORM syndrome is milder and features moderate mental retardation from early childhood (Hampshire et al., 2006).
The INPP5E mutations that cause Joubert syndrome diminish the 5-phosphatase activity of the protein (Bielas et al., 2009), whereas MORM syndrome mutations result in a protein with phosphatase activity but that abnormally localizes to cilia (Jacoby et al., 2009). Inpp5e
homozygous null mice are perinatal lethal and display typical signs of a
ciliopathy, including bilateral anophthalmos, postaxial hexadactyly and
polycystic kidneys, as well as cerebral developmental defects,
including anencephaly and exencephaly (Jacoby et al., 2009). Primary cilia from the renal cysts of these KO mice are abnormal in size and morphology (Jacoby et al., 2009).
When Inpp5e is conditionally inactivated in the mouse kidney epithelium, its loss causes severe polycystic kidney disease (Hakim et al., 2016) due to the loss of INPP5E 5-phosphatase-mediated hydrolysis of PtdIns(3,4,5)P3,
which results in increased pAkt and the activation of the mTOR growth
pathway. When mTOR was inhibited in this study with everolimus, the size
and weight of kidneys in the Inpp5e conditional KO mouse were
reduced. This corresponded with a 50% improvement in renal function
compared to placebo, indicating that the combination of mTOR inhibition
and PI3 kinase inhibition (to reduce pAkt) could be the most effective
means of rescuing this phenotype.
Insights into the spatiotemporal regulation of
PIPs by INPP5E have also shed light on the dynamic process that controls
ciliogenesis. In non-ciliated cells, INPP5E localizes at the basal body
and maintains a PtdIns4P-high, PtdIns(4,5)P2-low
environment. INPP5E-produced PtdIns4P controls the recruitment of
Tau-tubulin kinase 2 (TTBK2) to the mother centriole, inhibiting its
interaction with the centrosomal protein CEP164. In the absence of
INPP5E, the PtdIns4P 5-kinase PIPKIγ consumes PtdIns4P to make
PtdIns(4,5)P2, coinciding with the initiation of ciliary elongation (Xu et al., 2016).
In ciliated cells, Chávez and colleagues and Garcia-Gonzalo and
colleagues independently showed that INPP5E depletes cilia of
PtdIns(4,5)P2 to maintain a PtdIns4P-high environment (Chávez et al., 2015; Garcia-Gonzalo et al., 2015). Upon loss of INPP5E, PtdIns(4,5)P2 accumulates in cilia, leading to the recruitment of GPR161 and the PtdIns(4,5)P2-binding protein Tubby-like protein 3 (TULP3), which negatively regulate sonic hedgehog (SHH) signaling (Chávez et al., 2015; Garcia-Gonzalo et al., 2015).
Consistent with these findings, Dyson and
colleagues recently demonstrated that expression of constitutively
active smoothened (Smo) re-activated the SHH pathway in Inpp5e KO mice, rescuing many phenotypes (Dyson et al., 2017). Conduit and colleagues (Conduit et al., 2017) expanded on these findings, showing that INPP5E hydrolyzes PtdIns(3,4,5)P3
in the transition zone (TZ) of cilia, thereby decreasing pAkt
inhibition of pGSKβ, promoting both the ciliogenesis and SHH signaling
pathways. When INPP5E 5-phosphatase activity is lost, PtdIns(3,4,5)P3
accumulates in the TZ, resulting in increased pAKT inhibition of pGSKβ,
leading to cilia loss. Given that cilia are required for proper SHH
signaling, INPP5E loss disrupts the progression of SHH-dependent
medulloblastoma (Conduit et al., 2017). Importantly, PI3K inhibition prevents PtdIns(3,4,5)P3 accumulation and restores TZ components to the cilia (Dyson et al., 2017).
Thus, although PI3K inhibition is a potential therapeutic target for
ciliopathy in Joubert syndrome, it could have a detrimental effect in
the context of SHH-driven medulloblastomas by sustaining ciliogenesis
and driving proliferation.
Early-onset Parkinson's disease type 20 (MIM 615530) is caused by biallelic mutations in synaptojanin 1 (SYNJ1), which encodes a PtdIns(4,5)P2/PtdIns(3,4,5)P3 5-phosphatase (Quadri et al., 2013; Krebs et al., 2013). Affected individuals have a neurological phenotype with Parkinson's disease features (Quadri et al., 2013; Krebs et al., 2013).
Treatment with L-DOPA is effective but causes dyskinesia. Early-onset
generalized seizures that pre-dated the Parkinsonism were reported in
one family (Quadri et al., 2013).
In addition, two affected members in another family showed cognitive
decline in their thirties and forties, with their brain MRIs showing
diffuse cerebral cortical atrophy (Krebs et al., 2013).
It is important to note that synaptojanin is
highly expressed in the brain, as compared to OCRL, which is
ubiquitously expressed in all tissues. Synaptojanin 1 also contains a
polyphosphatase SAC1-like domain that is essential for synaptic vesicle
endocytosis in neurons and is thus essential for the maintenance of
neuronal transmission (Clayton et al., 2013). Synj1 KO mice die shortly after birth and exhibit numerous neurological defects, including severe weakness, ataxia and convulsions (Cremona et al., 1999; Clayton et al., 2013).
Recently, Fasano and colleagues showed that SYNJ1 regulates the
morphology of early endosomes (EE) and plays an important role in
trafficking and recycling of proteins through the EE compartment of
neuronal cells (Fasano et al., 2018).
The authors propose that defects in the endocytic compartment provide
insight into the mechanisms governing altered neuronal plasticity and/or
the loss of neuronal viability seen in Parkinson's disease type 20.
Interestingly, mutations in SYNJ1 also result in a subtype of early infantile epileptic encephalopathy (EIEE; MIM 617389).
The mouse phenotype thus appears to recapitulate the parkinsonian and
epileptic features of human disease. In addition, in mouse models of
Down syndrome, SYNJ1 overexpression contributed to enlarged EE and brain
dysfunction (Cossec et al., 2012). This finding makes SYNJ1 an interesting potential target for the treatment of Down syndrome (Cossec et al., 2012).
Several reports have linked biallelic mutations in INPP5K to congenital muscular dystrophy with cataracts and intellectual disability (MIM 617404). INPP5K is a PtdIns(4,5)P2/PtdIns(3,4,5)P3 5-phosphatase, preferring PtdIns(4,5)P2 as a substrate (Dong et al., 2018).
Wiessner and colleagues reported on eight families with 12 affected
individuals with hypotonia during infancy, cataract onset between six
months and six years of age, and delayed motor development (Wiessner et al., 2017).
These patients also had a mild intellectual disability but were without
facial or oculomotor weakness or cardiac involvement. Creatine kinase
levels were high in affected individuals, between four to fourteen times
the upper limit of normal. And nine patients had non-specific muscle
pathology, showing variable degrees of dystrophic features. In three
patients, muscle biopsies also showed vacuolated muscle fibers. The four
INPP5K mutations reported in these eight families were all
missense mutations that did not appear to affect protein level upon
overexpression studies in COS-7 cells; however, phosphatase activity was
reduced (Wiessner et al., 2017).
Osborn and colleagues independently reported on four additional families with five affected individuals with biallelic INPP5K mutations (Osborn et al., 2017).
They all presented during infancy or in early childhood with muscle
weakness and motor delay, and exhibited moderate to severe intellectual
disability. Cataracts were noted in three patients, and brain MRI showed
normal cerebellum and white matter. Creatine kinase was consistently
high (>1000 U/L). The reported mutations included four missense that
were confirmed to reduce the phosphatase catalytic activity of INPP5K.
However, the C-terminal frameshift deletion p.Asn417Lysfs*26, which is
located outside of the phosphatase domain and reported in one patient,
did not significantly affect the catalytic activity; protein levels in
patients or cell models were not investigated (Osborn et al., 2017).
INPP5K dysfunction has been modeled in zebrafish using morpholino-mediated knockdown of one or both zebrafish paralogs (inpp5ka and inpp5kb) (Osborn et al., 2017). The resulting inpp5ka
morphants showed microphthalmia, microcephaly, curled and shortened
bodies, severely impaired swimming and an abnormal touch-evoked escape
response. Histological findings in skeletal muscle showed abnormal
myosepta, gross myofiber disorganization and reduced neuromuscular
junction arborization, suggestive of poor synaptic formation. Electron
microscopy revealed less compact myofibrils, short sarcomeres, as well
as undefined A- and I-bands, and reduced triad size. A recent study has
uncovered a role for INPP5K in the regulation of ER morphology whereupon
loss of INPP5K results in expansion of ER sheets (Dong et al., 2018).
It remains to be determined whether this mechanism is involved in the
onset of this form of congenital muscular dystrophy; however, it is an
intriguing possibility given the importance of specialized ER, i.e.
sarcoplasmic reticulum, in skeletal muscle function. As for the
intellectual disabilities seen in patients, Dong and colleagues point
out that these are consistent with the function of INPP5K in neurons (Dong et al., 2018).
Dysregulation of the mono-phosphorylated PIP PtdIns4P is also implicated in neurologic disease. Mutations in the PI4KA gene, which encodes a PI4 kinase type IIIα, cause PMGYCHA (MIM 616531),
a disorder characterized by bilateral perisylvian polymicrogyria,
cerebellar hypoplasia, arthrogryposis and variable contractures (Pagnamenta et al., 2015). PI4KA generates PtdIns4P from PtdIns, and PtdIns4P serves as a precursor to maintain plasma membrane PtdIns(4,5)P2 levels (Bojjireddy et al., 2014; Tan et al., 2014).
A recent report has provided insight into the pathogenic mechanisms
underlying the PI4KA-related central nervous system abnormalities. When
Alvarez-Prats and colleagues specifically deleted Pi4ka from Schwann cells in mice, the resulting mutants had severe myelination defects (Alvarez-Prats et al., 2018). It also resulted in the depletion of plasma membrane PtdIns4P, but no decrease in PtdIns(4,5)P2.
However, plasma membrane phosphatidylserine (PS), phosphatidylethanolamine (PE)
and sphingomyelin(SPH, SM) were significantly decreased as well, suggesting that
the regulation of PtdIns4P by PI4KA is important for maintaining levels
of other lipid species at the plasma membrane, which are essential for
the proper myelination of Schwann cells. It remains unclear, however,
how impaired PI4KA alters brain development and neuronal migration in
order to cause polymicrogyria.
Interestingly, a mouse KO for type II PI4K, Pi4k2a,
develops late-onset features resembling hereditary spastic paraplegia
(HSP), with severe axonal degeneration in the spinal cord that is
associated with tremors, high-frequency nodding, spastic gait, limb
weakness and urinary incontinence (Simons et al., 2009). Several genes associated with HSP are related to axon transport, and the phenotype of Pi4k2a
mice is consistent with defective axon transport. Indeed, the
inhibition of PI4K activity disrupts the retrograde axonal transport of
neurotrophins, and the acute effects of PI4KIIa knockdown or inhibition
include disrupted intracellular trafficking and phosphoinositide
signaling (Bartlett et al., 2002; Minogue, 2006).
Given the importance of PIPs in membrane trafficking, their involvement
in HSP-like pathology is unsurprising. The effects of Pi4k2a deficiency in mice may result from a direct deficit of PtdIns4P or its PtdIns(4,5)P2 derivative. Nevertheless, as yet, no PI4K2A mutations have been found in patients with HSP, so the relevance of these findings to human disease is unknown.
All PIP metabolic disorders can be considered, at
least in part, to be disorders of PIP-binding proteins, given that the
loss of PIP kinases and phosphatases is associated with changes in
absolute and local PIP levels, thereby disrupting the localization and
functions of myriad PIP-binding effectors. There are as many as 70
neurological disorders that result from mutations in genes containing a
PIP-binding domain (Table S1); here, we present a few notable examples that provide insights into the function of specific PIPs in disease.
Loss-of-function mutations in C2 domain-containing phospholipase C beta 1 (PLCB1), which cleaves PtdIns(4,5)P2 into DAG and IP3 (McLaughlin et al., 2002), and in PH domain-containing dynamin 1 (DNM1), which binds to PtdIns(4,5)P2 during membrane fission events (Barylko et al., 1998), cause two similar subtypes of EIEE (MIM 613722 and MIM 616346, respectively) (Kurian et al., 2010; EuroEPINOMICS-RES Consortium et al., 2014). The EEIE phenotype is also associated with mutations in SYNJ1,
as discussed earlier. The similar presentations might reflect a common
pathway involving these genes in the etiology of EIEE. Indeed, a
large-scale survey of causative mutations in EIEE suggested synaptic
dysregulation as a common underlying mechanism (EuroEPINOMICS-RES
Consortium et al., 2014); however, this hypothesis has yet to be
functionally validated for the majority of these genes. This disorder
might also provide a unique example of how a disease of a
PIP-metabolizing enzyme causes abnormal PIP-binding effector activity,
or vice versa. It is worth mentioning here that another PH
domain-containing protein that binds PtdIns3P, collybistin (ARHGEF9), is also mutated in EIEE (Alber et al., 2017;
Wang et al., 2018). However, patients with missense mutations in the PH
domain do not develop seizures, whereas patients with missense
mutations affecting other regions of the gene have epilepsy (Alber et al., 2017; Wang et al., 2018), suggesting that PIP binding may not have a critical role in the manifestation of this subtype of EIEE.
Mutations in dysferlin (DYSF) present as Miyoshi muscular dystrophy (MIM 254130) and limb-girdle muscular dystrophy type 2B (MIM 253601) (Weiler et al., 1996; Liu et al., 1998). Their common features include proximal muscle weakness and dystrophic features on skeletal muscle biopsy (Weiler et al., 1996; Liu et al., 1998).
Dysferlin has been implicated in sarcolemmal repair and T-tubule
biogenesis. Dysferlin contains seven C2 domains, of which only the
N-terminal-most domain C2A, binds to phosphatidylserine, PtdIns4P and
PtdIns(4,5)P2 in a calcium-dependent manner (Therrien et al., 2009). It has recently been shown that dysferlin-mediated plasma membrane tubulation requires binding to PtdIns(4,5)P2 (Hofhuis et al., 2017), further linking PtdIns(4,5)P2 (which can be bound by DNM2 and BIN1) to T-tubule generation and skeletal muscle function and disease.
Lastly, mutations in two genes called protrudin (ZFYVE27) and spastizin (ZFYVE26), which encode FYVE domain-containing proteins, cause subtypes of spastic paraplegia (MIM 610244 and MIM 270700, respectively) (Mannan et al., 2006; Hanein et al., 2008). Common features include axonal degeneration, progressive lower-limb spasticity and weakness of the lower limbs (Mannan et al., 2006; Hanein et al., 2008). Defective endolysosomal processes and autophagy have been implicated in both subtypes (Khundadze et al., 2013; Vantaggiato et al., 2013; Renvoisé et al., 2014; Raiborg et al., 2015; Hong et al., 2017), suggesting these proteins have roles in a common pathway.
Enlarged LAMP-1 membrane compartments were observed in brain tissue from a Zfyve26 mouse KO (Khundadze et al., 2013) as well as in patient-derived fibroblasts (Renvoisé et al., 2014).
Consistent with this observation, reduced lysosome-autophagosome fusion
and accumulation of autophagosomes was observed in spastizin-mutant
fibroblasts (Vantaggiato et al., 2013). Spastizin colocalizes with the early endosome marker EEA1 and ER markers (Hanein et al., 2008; Khundadze et al., 2013) and physically interacts with beclin 1 in the endosomal PIK3C3 complex II (Vantaggiato et al., 2013), linking its function with autophagy induction.
Protrudin (ZFYVE27) localizes to the ER, where it mediates
ER-to-lysosome and late endosome (LyLE) contact sites by binding to
PtdIns3P on LyLEs (Raiborg et al., 2015; Hong et al., 2017).
This contact allows transfer of kinesin-1 motor proteins to the LyLEs,
which translocates mTOR- and synaptotagmin VII-containing LyLEs along
microtubules to the cell periphery (Raiborg et al., 2015; Hong et al., 2017).
This maintains mTOR in its activated state to attenuate autophagy and
also promotes fusion with the plasma membrane to promote neurite
outgrowth (Raiborg et al., 2015; Hong et al., 2017). Interestingly, mutations in kinesin-1 (KIF5A) also cause a spastic paraplegia (MIM 604187) (Ebbing et al., 2008), as do mutations in the gene encoding the microtubule-severing protein spastin (SPAST) (MIM 182601) (Svenson et al., 2001; Roll-Mecak and Vale, 2008),
consistent with the proposed mechanism of action for protrudin by
Raiborg and colleagues (Raiborg et al., 2015). This is a potential
example of how a common pathway can mechanistically unify genetically
heterogeneous disorders. It will thus be interesting to explore
potential crosstalk between spastizin and the protrudin pathway given
that they regulate similar autophagic processes and may involve a common
pool of PtdIns3P.
PI3K signaling via Akt is involved in many overgrowth syndromes and cancers (Fresno Vara et al., 2004; Fruman and Rommel, 2014; Mayer and Arteaga, 2016). Class I PI3Ks, such as PIK3CA, phosphorylate the inositol ring of PtdIns(4,5)P2 at the 3-position to generate PtdIns(3,4,5)P3. The pathways activated by PtdIns(3,4,5)P3 and PtdIns(3,4)P2
control various functions, including growth and proliferation. In the
PI3K/Akt pathway, the 3-phosphatase PTEN acts as a negative regulator of
PI3K signaling owing to its ability to hydrolyze PtdIns(3,4,5)P3 (Song et al., 2012). Of note, PTEN is one of the most frequently mutated tumor suppressors found in cancer (Fruman and Rommel, 2014). In addition to its role in cancer, loss of function causes PTEN hamartoma tumor syndromes such as Cowden syndrome 1 (MIM 158350) (Blumenthal and Dennis, 2008). This group of syndromes (Table 1)
is notable for macrocephaly, benign and malignant tumors, abnormal skin
manifestations such as lipomas, and pigmented macules (Blumenthal and Dennis, 2008). In addition, PTEN mutations are associated with macrocephaly/autism syndrome (MIM 605309) (Butler et al., 2005).
In recent years, there has been increasing
recognition of the role of somatic mutations in certain
neurodevelopmental syndromes. Somatic mutations occur in several
diseases associated with epilepsy, autism spectrum disorders and
intellectual disability (Poduri et al., 2013).
Recent advances in the genomic sequencing and bioinformatic analyses of
these variants has allowed us to more accurately estimate the
contributions of such phenomena to human neurological disorders (Evrony et al., 2016).
Mutations in the PI3K/Akt pathway are known to cause somatic neurologic syndromes. Postzygotic activating mosaic mutations of PIK3CA
have been associated with overgrowth syndromes, including MCAP
(megalencephaly-capillary malformation-polymicrogyria syndrome; MIM 603387) (Rivière et al., 2012) and CLOVES syndrome (congenital lipomatous overgrowth, vascular malformations and epidermal nevi; MIM 612918) (Kurek et al., 2012).
Both conditions are characterized by increased birth weight and height,
asymmetric limb hemihypertrophy and vascular malformations. Patients
with MCAP also manifest megalencephaly, brain malformation, significant
developmental delay and seizures, whereas CLOVES patients have
significant skeletal abnormalities, such as megaspondylodysplasia, or
hyperostosis of the skull, in addition to skin manifestations of lipomas
or linear epidermal nevus (Kurek et al., 2012; Lindhurst et al., 2012; Rivière et al., 2012).
Recently, 19 patients with CLOVES were treated with the PIK3CA
inhibitor BYL719 and all showed marked improvement in disease symptoms (Venot et al., 2018). Germline mutations of the PI3K regulatory subunit PIK3R2, as well as the predominant AKT serine/threonine kinase isoform in the brain AKT3, also cause MCAP (Rivière et al., 2012).
Of note, somatically acquired mutations of PIK3CA are reported in many cancers, including breast (MIM 114480), colorectal (MIM 114500), gastric (MIM 613659), hepatocellular (MIM 114550) and ovarian (MIM 167000) (Table 1).
The importance of PI3K in cancer is underscored by the anticancer
effect of drugs that inhibit downstream effectors of PI3K/Akt signaling,
such as rapamycin, an mTOR inhibitor (Yuan and Cantley, 2008).
There are many excellent reviews that discuss in detail the role of the
PI3K/Akt pathway and mTOR in cancers and neurodevelopmental disorders (Fresno Vara et al., 2004; Fruman and Rommel, 2014; Mayer and Arteaga, 2016).
A growing number of neurological disorders are
associated with mutations in genes that encode PIP-metabolizing enzymes
and PIP-binding proteins, underscoring the importance of these
low-abundance phospholipids for health and disease. Studying these
diseases, particularly in cell and animal models, has identified
crucially important roles for PIPs and the enzymes that regulate them in
organismal biology, including their participation in key processes,
such as synaptic vesicle recycling, skeletal muscle T-tubule biogenesis
and maintenance, peripheral myelination, and cilia formation and
signaling. These studies have also unveiled new therapeutic avenues and
treatments for several neurological disorders.
Nevertheless, there is still much to learn about
the regulation of PIPs in many neurological disorders. PIPs define
organelle identity, acting as molecular signposts for many effector
proteins and molecular switches, such as Rab GTPases, to coordinate
membrane and protein traffic throughout the cell (Di Paolo and De Camilli, 2006; Ketel et al., 2016).
Given this role in regulating distinct processes via effector proteins,
PIPs can be regarded as being pleiotropic in nature. This pleiotropy
poses one of the major challenges in the field of PIP disorders:
determining the primary causal mechanism(s) of disease by demonstrating a
causal relationship between one or multiple processes that are
regulated by the PIP and the onset of the disorder. For example, we know
that loss of MTM1 in XLMTM results in PtdIns3P accumulation, leading to
aberrant receptor trafficking and recycling through endosomal
compartments (Velichkova et al., 2010; Ribeiro et al., 2011; Sabha et al., 2016; Ketel et al., 2016),
and that these changes correlate with disease severity. However, we
still do not know how many PtdIns3P effector(s) behave differently in
this disease, or how many protein(s) are trafficked improperly, and
whether or not these changes cause the observed disease phenotype. To
complicate matters, this assumes that the sole function of MTM1 is to
dephosphorylate PtdIns3P, which is certainly not the case given its
phosphatase-independent functions (Amoasii et al., 2012) and role in the ubiquitin-proteasome system (Gavriilidis et al., 2018).
One potentially universal strategy to elucidate
PIP-dependent membrane and protein traffic processes would be to perform
subcellular proteomics in inducible KO models. Subcellular proteomics
can be performed in a variety of ways, including, but not limited to,
techniques such as TurboID (and its predecessor BioID; Fig. 3A,B) (Branon et al., 2018; Roux et al., 2013) or subcellular fractionation profiling followed by mass spectrometry (Borner et al., 2014; Itzhak et al., 2016; Christoforou et al., 2016).
Inducible KOs can also be achieved in a variety of ways, such as
tamoxifen- or tetracycline-driven and heat-shock-inducible Cre/Lox
recombination (Fig. 3C) (Imai et al., 2001; Bäckman et al., 2009; Le et al., 2007).
Increasingly sophisticated methods of gene perturbation with modified
CRISPR/Cas9 technologies allow for rapid and tunable gene editing (Senturk et al., 2017).
The combination of these methods would allow researchers to determine
the spatiotemporal changes in local proteomes that occur before and
after a given PIP is modulated (by kinases or phosphatases; Fig. 3)
or when a given PIP-binding protein is lost. In keeping with the MTM1
example, this would involve performing proteomics on specific endosomal
populations, myonuclei and/or the sarcolemma, before and after MTM1 is
inducibly knocked out. This should, hypothetically, provide rich
information about how PtdIns3P [or PtdIns(3,5)P2] effectors behave when MTM1 is lost, and a detailed timeline of how pathologic changes begin.
Fig. 3.
Potential experimental approaches to interrogate pleiotropy in phosphoinositide biology.
PIPs and their effectors have pleiotropic functions. Elucidating these
will require methods that capture global changes that occur when PIPs
are altered. This figure shows the complex protein networks that
interact with PIPs and illustrates the possible combination of BioID
screening (Roux et al., 2013) with inducible protein
expression/localization methods to investigate how PIP kinase mutants or
PIP-binding protein mutants acquire differential subcellular protein
interactomes. (A) A Rab GTPase can be used as an organelle marker that
can be fused with the biotin protein ligase BirA, which biotinylates
nearby endogenous PIP-interacting proteins, to provide subcellular
specificity to a differential interactome. This interactome, mapped
based on biotinylation (yellow circle), is different between wild-type
cells (upper panel) and cells that do not express, for example, a PIP
kinase (lower panel). (B) If BirA is fused to a PIP-binding protein,
mutations in a PIP-binding protein (red circle) alter the interactome.
This results in a BioID screening output showing biotinylation of
PIP-independent interactors, whereas the PIP-containing compartment will
lose or have reduced biotinylation. Although useful as an organelle
marker, fusing Rab to BirA may result in BioID screens identifying
non-specific transient interactions, such as those with the Rab GDP
dissociation inhibitor GDI. These methods could be extended upon with
artificial regulation of protein complex formation, such as the
rapamycin- or rapalog-induced dimerization between FKBP- and FRB-fused
proteins (Inobe and Nukina, 2016),
and with inducible gene editing to increase spatiotemporal control. (C)
Concomitant heat-shock-induced expression of the Rab-FRB fusion, the
BirA-FKBP fusion and Cre recombinase, and addition of a rapalog to
induce FKBP-FRB dimerization, allows for simultaneous control over
protein biotinylation and Cre-induced deletion of a PIP kinase. This
would allow for identification of differential subcellular protein
interactomes before and shortly after knockout of a gene (in this
example, a PIP kinase).
Alternatively, a powerful system that facilitates
spatiotemporal manipulation of PIPs was first published over a decade
ago by two independent groups (Varnai et al., 2006; Fili et al., 2006).
This system uses rapamycin (or its analogs, rapalogs) to recruit PIP
enzymes fused to the FKBP12-rapamycin binding (FRB) domain of mTOR [or
the rapamycin intracellular receptor FK506 binding protein (FKBP)] to
specific subcellular compartments labeled with a well-established marker
fused to FKBP (or FRB) via FRB-FKBP heterodimerization (Fig. 3C) (Inobe and Nukina, 2016). This system has since been used to temporally manipulate PIPs, in particular PtdIns(4,5)P2 and PtdIns4P, with great success (Szentpetery et al., 2010; Ufret-Vincenty et al., 2015; Gulyás et al., 2017).
However, this technique still awaits widespread adoption, particularly
to study PIP metabolism disorders. Future studies interested in directly
linking PIP metabolism or PIP binding by an effector protein to a
disease mechanism may benefit from adopting this powerful yet
underutilized approach.
Applying unbiased techniques that capture a
global view of the protein localization changes that occur when a PIP is
modulated would undoubtedly improve our understanding of PIP biology
and its role in disease. We also recommend considering more
bioinformatic, systems biology approaches to identify a common pathway
for genes that cause the same disorder because, as we have learned, many
neurological disorders are genetically heterogeneous. Earlier, we
presented an elegant example by Raiborg and colleagues in which they
implicated several genes that cause spastic paraplegia in a common
pathway (Raiborg et al., 2015). Similarly, the identification of DNM2 and BIN1 as genetic modulators of MTM1 (Cowling et al., 2017; Lionello et al., 2019),
all of which cause a centronuclear myopathy, indicates intimate
crosstalk among genes involved in the same (or similar) disorders. We
recommend that future research on genetically heterogeneous disorders
(e.g. Charcot-Marie-Tooth syndromes, epileptic encephalopathies,
spinocerebellar ataxias) consider this theme when trying to build a
mechanistic model of disease pathogenesis.
On this note, it is worthwhile mentioning how the
disruption of other PtdIns derivatives results in neurological
diseases. Mutations in PtdIns glycan anchor biosynthesis (PIG) genes
such as PIGP (MIM 617599) and PIGA (MIM 300868) can cause early infantile epileptic encephalopathy (Table 2). Other glycosylphosphatidylinositol (GPI) synthesis genes are associated with severe cognitive impairment and seizures: PIGM mutations cause glycosylphosphatidylinositol deficiency (MIM 610293), those in PIGL cause CHIME syndrome (MIM 280000), PIGY mutations cause hyperphosphatasia with mental retardation syndrome 6 (MIM 616809), whereas those in post-GPI attachment to proteins 1 (PGAP1) cause mental retardation 42 (MIM 615802) (Table 2). Most recently, Nguyen and colleagues showed individuals with mutations in GPAA1,
a GPI transamidase complex protein, present with developmental delay,
hypotonia, early-onset seizures, cerebellar atrophy and osteopenia (MIM 617810) (Nguyen et al., 2017).
Given that many PtdIns/PIP kinases and PIP
phosphatases phenotypically overlap in these conditions, it is tempting
to infer an intimate crosstalk between the phosphorylated and
glycoslyated derivatives of PtdIns. Indeed, mutations in PLCB1, DNM1, ARHGEF9 and SYNJ1 cause EIEE, and mutations in MBOAT7 as well as 13 genes with PIP-binding domains (ARHGEF6, CASK, CC2D1A, CNKSR2, COL4A3BP, DLG3, EPB41L1, FGD1, IQSEC2, KIF1A, OPHN1, SYNGAP1, TRIO) cause mental retardation (Table S1).
It is possible that a glycosylation defect in PtdIns impinges on
PIP-related pathways given that GPI proteins anchor approximately one in
every 200 mammalian proteins to the cell membrane (Nguyen et al., 2017).
These examples further emphasize the global importance of PtdIns
metabolism in normal brain development and represent additional areas
for future research.
With the more widespread application of
techniques, such as whole-exome sequencing in clinical genetics, it is
unsurprising that new associations between human diseases and mutations
in PIP enzymes are emerging. Still, as many as 636 PIP-modulating or
-binding proteins have not, as of yet, been linked with human genetic
disorders (Table S1),
indicating that they are either indispensable for early embryonic
development or functionally redundant. Lastly, because of their
enzymatic properties, kinase and phosphatase regulators of PIP
metabolism are attractive therapeutic targets for neurological disease.
This has been demonstrated for human cancers, for which PI3 kinase
inhibitors have long been considered as potential treatments. In the
future, inhibitors or activators of the PIP enzymes and PIP-binding
proteins associated with neurological disease are likely to emerge as
viable therapeutics.
This site uses cookies. By continuing to use our website, you are agreeing to
our privacy policy.
Inga kommentarer:
Skicka en kommentar