Abstract
Progranulin (PGRN) is a highly unusual molecule with both neuronal and microglial expression with two seemingly unrelated functions, i.e., as a neuronal growth factor and a modulator of neuroinflammation. Haploinsufficiency due to loss of function mutations lead to a fatal presenile dementing illness (frontotemporal lobar degeneration), indicating that adequate expression of PGRN is essential for successful aging. PGRN might be a particularly relevant factor in the pathogenesis of HIV encephalitis (HIVE) and HIV-associated neurocognitive disorders (HAND). We present emerging data and a review of the literature which show that cells of myeloid lineage such as macrophages and microglia are the primary sources of PGRN and that PGRN expression contributes to pathogenesis of CNS diseases. We also present evidence that PGRN is a macrophage antiviral cytokine. For example, PGRN mRNA and protein expression are significantly upregulated in brain specimens with HIVE, and in HIV-infected microglia in vitro. Paradoxically, our preliminary CHARTER data analyses indicate that lower PGRN levels in CSF trended towards an association with HAND, particularly in those without detectable virus. Based upon these findings, we introduce the hypothesis that PGRN plays dual roles in modulating antiviral immunity and neuronal dysfunction in the context of HIV infection. In the presence of active viral replication, PGRN expression is increased functioning as an anti-viral factor as well as a neuroprotectant. In the absence of active HIV replication, ongoing inflammation or other stressors suppress PGRN production from macrophages/microglia contributing to neurocognitive dysfunction. We propose CSF PGRN as a candidate surrogate marker for HAND.
Keywords: microglia, cytokines, human, growth factor, innate immunity, HIV encephalitis (HIVE), HIV-associated neurocognitive disorder (HAND)
INTRODUCTION
Progranulin (PGRN) is a multifunctional growth factor widely expressed in various tissues with highest levels in epithelial and myeloid cells (Bateman and Bennett, 2009). PGRN is involved in cell proliferation, wound healing and modulation of inflammation (Ahmed et al., 2007). Haploinsufficiency resulting from PGRN gene (GRN) mutations causes frontotemporal lobar dementia (FTLD), a fatal progressive neurodegenerative disorder affecting young (<60 yrs) individuals (Baker et al., 2006; Cruts et al., 2006). This suggests that adequate expression of PGRN may play a critical role in successful aging of the central nervous system (CNS). However, the mechanisms by which reduced levels of PGRN lead to dementia are poorly understood. In the CNS, neurons express PGRN constitutively, while increased microglial PGRN immunoreactivity is observed in several neurodegenerative or neuroinflammatory diseases such as Alzheimer disease (AD), FTLD and multiple sclerosis (MS) (Sleegers et al., 2009). There is also emerging evidence that PGRN is important in antimicrobial innate immunity. However, whether PGRN expression is modulated in HIV-infected individuals and whether PGRN plays a role in the antiviral immunity or in neurocognitive impairment (NCI) termed HIV-associated neurocognitive disorders (HAND) are unknown.
Despite effective and widely available combination antiretroviral therapy (cART), HIV-associated NCI still has a prevalence of about 50% of HIV infected individuals (McArthur et al., 2010; Kamat et al., 2012). HAND ranges in severity from very mild (asymptomatic neurocognitive impairment) to disabling (HIV-associated dementia, or HAD). HAD is strongly associated with active HIV replication in the CNS and a neuropathologic response known as HIV encephalitis (HIVE). In the cART era the prevalence of HAD/HIVE has decreased, and the prevalence of the milder forms has increased. Moreover, cognitive deterioration can occur despite the viral suppression and immune recovery induced by cART. These changes could result from inadequate penetration of cART and residual infection in the brain, chronic CNS inflammatory and oxidative stress responses, or neurotoxic effects of long-term cART treatment (Heaton et al., 2010; Perry et al., 2005; Kaul, 2009). The pathogenesis of HAND is complex and not clearly understood. While much has been investigated on the role of neurotoxic viral and host factors released from HIV-infected macrophages, more understanding of key molecules and cellular pathways that modulate HIV-macrophage (including microglia) interactions is needed.
Interestingly, a recent gene array study by the National NeuroAIDS Tissue Consortium (NNTC) suggests that the pathogenesis of HIV-associated NCI is heterogeneous (Gelman et al., 2012a). Specifically, the study indicates that the pathophysiology of HIV-associated NCI may differ depending on the presence or absence of HIVE. The consortium has proposed new designations, Type I and Type II NCI, to refer to NCI with and without HIVE, respectively. These results are important since they indicate that there are “molecular subtypes” of HAND that might respond differently to the same treatment. The recent NNTC clinico-neurovirological correlation study (Gelman et al., 2012a; Gelman et al., 2012b) has provided added evidence for two types of NCI in patients with HAND.
In this manuscript, we review the literature regarding the known expression of PGRN in normal and diseased CNS and systemic organs, as well as PGRN determinations in plasma and the cerebrospinal fluids (CSF) of individuals with several neurological diseases. The role of PGRN as a neuronal growth factor and an innate immune modulator are discussed based on evidence from patients as well as animal and cell models. We also present data which suggest that PGRN may play a role in the pathogenesis of HIVE and HAND, could potentially serve as a surrogate biomarker and also might prove to be an efficacious therapeutic target.
PART 1: PGRN EXPRESSION
PGRN expression in the periphery
Progranulin was initially isolated and characterized in inflammatory leukocytes collected from peritonitis patients and bone marrow (Bhandari et al., 1992). In rodents, Bateman and colleagues have shown by in situ hybridization that Grn mRNA is most abundant in the spleen and several tissues of endocrine origin with no expression in skeletal, cardiac muscles or liver (Daniel et al., 2000). Grn mRNA was detected in a restricted set of epithelial cells in mouse tissues. Skin, GI tract and glandular epithelium expressed high levels and bronchial epithelium expressed lower levels.. Grn in the spleen was expressed predominantly in lymphoid cells. When the expression of PGRN mRNA was measured in different human cell lines, myelogenous leukemic cell lines (HL-60, U937) and epithelial cell lines were found to express high levels (Ong et al., 2006). GRN is the 17th and 30th most abundant transcript in human macrophage and monocyte-derived dendritic cells, respectively (Chantry et al., 1998).
PGRN expression in CNS diseases
In the CNS, Grn was identified as a microglial gene uniquely modulated in mice with Creutzfeldt-Jakob disease (CJD) (Baker and Manuelidis, 2003). When the gene expression profile of CJD microglia was compared with that of microglia isolated from uninfected mouse brain tissue, Grn mRNA expression was higher with CJD. In vivo studies of developing and mature mice also reported Grn mRNA expression in brain microglial cells, and in neurons. In a most recent study, Grn gene (heterozygote knock-in) and protein expression (by immunohistochemistry) were examined and showed that neuronal PGRN expression increased with the cells’ maturity, while microglial cell expression varied with the state of immune activation (Petkau et al., 2010). Predominantly neuronal and microglial GRN expression also has been reported in autopsy studies (Ahmed et al., 2007). While neuronal PGRN immunoreactivity did not appear to be highly variable in diseased human brain tissue, its expression was increased in the activated microglial cells of several CNS diseases including AD, FTLD, amyotrophic lateral sclerosis (ALS) and MS (Sleegers et al., 2009; Vercellino et al., 2011).
Modulation of GRN expression at the gene level has also been well-documented. A detailed analysis of GRN mRNA in FTLD brains (with loss of function PGRN mutations and haploinsufficiency) showed an overall increase in several brain areas, indicating that PGRN transcription from the normal allele can be upregulated (Chen-Plotkin et al., 2010). These findings also suggest that PGRN expression is differentially regulated in neurons and microglia. Increased GRN mRNA expression also was found in the spinal cord of ALS patients (Malaspina et al., 2001). PGRN dysregulation also occurs in the blood of patients with CNS diseases (see below), but the cellular origins and mechanisms have not been fully elucidated.
Genetic mechanisms of PGRN regulation
Loss-of-function mutations in GRN cause FTLD, a progressive neurodegenerative disease affecting 10% of early-onset dementia patients. The majority of GRN mutations consist of nonsense mutations, small insertion/deletion mutations that result in a shift in the reading frame or splice-site mutations (Sleegers et al., 2009). In addition, several GRN single nucleotide polymorphisms (SNPs) have been proposed to modulate PGRN levels. Rademakers et al. demonstrated that a common genetic variant (rs5848) in the 3′-untranslated region (UTR) of GRN in a binding-site for miR-659 is a major susceptibility factor for ubiquitin-positive FTLD (FTLD-U) (Rademakers et al., 2008). In a subgroup of non-GRN mutation carriers (n = 339), they found that carriers for the TT-allele of rs5848 have a 3.2-fold increased risk for FTLD-U compared with CC-allele carriers; rs5848 also could influence serum PGRN level in AD, FTLD, and other dementias (see below). A significant association between disease onset and another GRN SNP (rs9897526) located 21 bp downstream of the intron 2 splice donor site was observed in ALS in Belgian population (n=230) (Sleegers et al., 2008) Additionally, two recent studies identified polymorphisms in binding sites for miR-29b and miR-107 in the 3′-UTR as potential regulators of GRN expression (Wang et al., 2010). GRN mutation carriers show a high variability in disease onset and pathologic presentation, even with identical mutations, suggesting that environmental influences or additional genetic factors modify the disease manifestation. Genome wide approaches have identified rs646776 near the sortilin gene as a potential determinant of PGRN levels in human plasma. Each copy of the minor C allele was associated with a lower plasma PGRN level (Carrasquillo et al., 2010). Another gene implicated in PGRN regulation is TMEM106B. TMEM106B is regulated by the microRNA-132/212 cluster and affects the PGRN pathway. The TMEM106B SNP rs1990622 may also influence risk for FTLD by modulating the rate that PGRN is secreted (Van, V et al., 2010; Cruchaga et al., 2011; Chen-Plotkin et al., 2012).
Given the high prevalence of the T allele of rs5848 and its potentially negative impact on PGRN protein expression, the influence of GRN gene variability on susceptibility to AD and PGRN expression were evaluated. This study involved Italian (n=377) and American (n=355) patients, with the AD diagnosis confirmed by autopsy in 68 Americans (Fenoglio et al., 2009). This study found that GRN mRNA expression in the parietal lobe of AD cases was 0.76-fold lower compared to controls, and the decedents with the rs5848 TT haplotype had the lowest GRN expression levels. Although no significant differences in GRN expression were found in blood mononuclear cells (PBMC) and cerebrospinal fluid (CSF) cells, stratifying subjects according to rs5848 T and C allelic frequencies showed a 0.57-fold decrease in PBMC GRN mRNA levels in T versus C haplotypes. These data argue against a direct role of GRN as a susceptibility factor for sporadic AD, but they support a possible role as a disease-modifying gene that can influence neuronal survival. As well, the T allele of the rs5848 SNP of GRN is a possible underlying predisposing condition for neurocognitive decline in non-FTLD dementias.
PGRN as a biomarker/surrogate marker (Table 1: serum or plasma levels)
Table 1.
conditions | number of cases | PGRN concentration (ng/ml) | statistics | method | source | reference | |
---|---|---|---|---|---|---|---|
1 | control | 40 | Median (range) 109 (79–185) | ELISA (adipogene) | serum | (Steinacker et al., 2011) | |
ALS | 68 | 105(52–269) | ns | ||||
PD | 20 | 110(65–196) | ns | ||||
2 | control | 56 | Mean ±SEM 231±24 | ELISA (R&D) | plasma | (Philips et al., 2010) | |
ALS | 91 | 261±25 | ns | ||||
3 | Healthy control | 75 | Mean ±SD 172.2±62.7 | ELISA (adipogene) | plasma | (Ghidoni et al., 2008) | |
Unaffected, no PGRN mutation (relatives of FTLD) | 51 | 167.1±51.8 | ns | ||||
Unaffected, mutation | 22 | 42.5±11.7 | * | ||||
FTLD, no mutation | 63 | 197.9±67.6 | ns | ||||
FTLD, mutation | 8 | 61.6±25.9 | ** | ||||
5 | Healthy non-carrier (relatives of FTLD) | 9 | Median (range) 135.3(110.9–144.4) | ELISA (R&D) | serum | (Sleegers et al., 2009) | |
Community controls | 22 | 226.5 (101–387) | |||||
FTLD, Mutation carrier | 14 | 62.4 (48.7–81.0) | *** | ||||
6 | Control (Italian) | 29 | Mean ±SEM 180.81±18.39 | ELISA (adipogene) | plasma | (Galimberti et al., 2012) | |
Bipolar disorder (Italian) | 61 | 116.14±5.80 | *** | ||||
Bipolar disorder(German) | 26 | 89.69±3.97 | *** | ||||
7 | control | 40 | median (* IQR) 87.00 (81) | ELISA (R&D) | plasma | (Al-Ayadhi and Mostafa, 2011) | |
autism | 40 | 77.50 (19) | *** | ||||
8 | control | 70 | Mean ±SD 228±50 | ELISA (adipogene) | plasma | (Finch et al., 2009) | |
FTLD without mutation | 191 | 220±47 | ns | ||||
GRN mutation carrier | 8 | 68±16 | *** | ||||
AD with mutation | 1 | 74 | |||||
AD without mutation | 71 | 238±53 | ns | ||||
9 | Minor cognitive impairment | 56 | Mean ±SD 228.51±10.63 | ELISA (adipogene) | plasma | (Carecchio et al., 2009) | |
AD | 75 | 221.25±10.05 | ns | ||||
FTLD | 45 | 216.00±12.26 | ns | ||||
10 | control | 36 | Mean, range 195 (180–211) | ELISA (adipogene) | serum | (Hsiung et al., 2011) | |
Amnestic mild cognitive impairment (MCI) | 13 | 228 (196–261) | ns | ||||
AD | 57 | 202 (188–217) | ns | ||||
FTD-ALS | 12 | 187 (167–204) | ns | ||||
Other dementia | 18 | 223 (197–250) | ns | ||||
GRN mutation carriers | 6 | 50.5 (43.8–57.2) | *** | ||||
11 | Control (similar rs5848 genotype frequency) | 114 | Mean ±SEM 125.6±36.1 | ELISA (adipogene) | plasma | (Kamalainen et al., 2013) | |
AD | 258 | 138.1±36.1 | ** |
IQR = interquartile range (Q3 – Q1) (* p <0.05, ** p <0.01, *** p <0.001, ns = not significant)
PGRN levels have been determined in a diverse category of human diseases. PGRN expression by epithelial cells and its mitogenic effect have suggested a potential role in cancer. These studies reported increased plasma PGRN levels in various cancer patients including those with glioblastoma multiforme (Tkaczuk et al., 2011; Koo et al., 2012; Wang et al., 2012). Moreover, PGRN is highly expressed in adipose tissues including in macrophages, and PGRN dysregulation has been proposed as a mechanism in metabolic disorders such as type II diabetes (Youn et al., 2009; Tonjes et al., 2010). Increased PGRN levels in the plasma of patients with diabetes have been correlated with visceral fat accumulation and dyslipidemia. Elevated serum PGRN levels have also been reported in autoimmune disorders such as systemic lupus erythematosus and certain infectious conditions (Tanaka et al., 2012). Serum PGRN levels are also markedly elevated in mothers during gestation and show strong positive correlation with estrogen and progesterone (Todoric et al., 2012).
Given that PGRN is a crucial neurotrophic factor and a modulator of neuroinflammation, plasma/serum PGRN levels have been examined in patients with several CNS diseases. CSF and plasma of FTLD subjects carrying PGRN mutations show severely reduced PGRN protein levels (up to 3.93-fold) regardless of clinical affliction (Ghidoni et al., 2008; Sleegers et al., 2009). As such, low plasma PGRN (74.4 ng/ml cutoff) can serve as a biological predictor of incident FTLD. Findings in other CNS diseases are more varied. Blood PGRN levels have been determined in AD, ALS, MS and other neurological diseases (see Table 1 for summary). In AD blood cell PGRN mRNA levels were reported to be increased (Coppola et al., 2008), but a subsequent study reported that plasma PGRN protein levels in AD were not abnormal (Carecchio et al., 2009). The latter study also found no significant change in plasma PGRN levels in (non-PGRN mutation) FTLD or in minor cognitive impairment. Similarly, plasma PGRN levels were not significantly different in ALS patients without GRN mutations (Philips et al., 2010). Conflicting results were reported in another study, in which plasma PGRN levels were reported to be significantly increased in AD and with increasing age (Kamalainen et al., 2013). Thus, larger studies are probably needed to fully elucidate the potential relationship to AD. There is also evidence that plasma PGRN levels are low in patients with certain psychiatric disorders. For example, plasma PGRN protein levels were reportedly decreased in children with autism (Al-Ayadhi and Mostafa, 2011). Plasma PGRN levels also were reported to be low in people with bipolar disorder (Galimberti et al., 2012). Again, while larger studies are necessary to confirm these findings, the available preliminary reports suggest that PGRN expression could play a role in the pathogenesis of abnormal brain function observed in certain neuropsychiatric conditions.
CSF PGRN levels in CNS diseases (Table 2)
Table 2.
conditions | case number | PGRN concentration (ng/ml) | statistics | method | Ref | ||
---|---|---|---|---|---|---|---|
1 | Control | 40 | Median (range) 4.3 (2.3–7.0) | ELISA (adipogene) | (Steinacker et al., 2011) | ||
ALS | 68 | 3.9 (2.2–8.2) | ns | ||||
PD | 20 | 4.1(2.6–4.5) | ns | ||||
2 | MS | total | 40 | Mean ±SD 21.32±4.2 | ELISA (adipogene) | (Vercellino et al., 2011) | |
* RRMS during remission | 20 | 14.56±4.16 | |||||
RRMS during relapse | 10 | 31.26±5.62 | ** | ||||
* SPMS | 10 | 24.92±3.03 | ** | ||||
Non-inflammatory control, with neurological diseases | 15 | 17.15±4.92 | ns | ||||
Viral encephalitis; Inflammatory control | 5 | 76.38±85.08 | ** | ||||
3 | MS | 55 | Mean ±SEM 5.99±0.25 | ELISA (adipogene) | (De et al., 2010) | ||
Non-inflammatory Neurologic diseases | 35 | 5.95±0.35 | ns | ||||
Viral meningitis, optic neuritis, SLE (Other inflammatory neurologic diseases) | 7 | 8.20±1.69 | ns | ||||
Control | 8 | 6.48±0.65 | ns | ||||
4 | control | 31 | Mean ±SEM 6.4±0.6 | ELISA (R&D ) | (Philips et al., 2010) | ||
ALS | 29 | 7.0±0.5 | ns | ||||
FTLD no PGRN mutation | 24 | 6.9±0.6 | ns | ||||
FTLD, PGRN mutation | 3 | 2.2±1.0 | * | ||||
FTLD+ALS | 4 | 5.5±0.7 | ns | ||||
AD | 34 | 6.0±0.5 | ns | ||||
5 | Healthy control | 5 | Mean ±SD 8.2±2.7 | ELISA (adipogene) | (Ghidoni et al., 2008) | ||
FTLD, no PGRN mutation | 17 | 8.7±2.1 | ns | ||||
FTLD, PGRN mutation | 5 | 3.7±0.6 | * |
RRMS = relapsing remitting MS, SPMS = secondary progressive MS (* p <0.05, ** p <0.01, ns = not significant)
Although PGRN levels in blood might be a practical disease biomarker due to its easy clinical accessibility, CSF levels of PGRN may be of greater biological relevance to CNS diseases. The normal CSF concentration of PGRN is low (~ 1/50 of the blood level), which could suggest that the CNS is much more vulnerable to PGRN deficiency. For example, the average plasma PGRN levels in HIV-infected subjects of the CHARTER cohort (Heaton et al., 2010) that we determined were 129.7 ± 8.3 ng/ml, versus the CSF concentration of 3.08 ± 0.19 (Mean ± SEM) (also see Tables 1 and 2 for other examples). In multiple sclerosis (MS) patients, CSF PGRN levels were found to be increased in the relapsing-remitting (RR) type during clinical relapses, and also in the secondary progressive (SP) type, indicating that disease activity is the primary determinant of PGRN elevation in MS (Vercellino et al., 2011). Interestingly, the comparison subjects with viral encephalitis had significantly higher CSF PGRN compared to MS or non-inflammatory control groups. Another study of PGRN in MS patients found similar trends which did not reach statistical significance (De et al., 2010). The same study found no evidence that CSF PGRN levels vary according to gender or age. Other studies found no significant change of CSF PGRN levels in FTLD, ALS and AD (Philips et al., 2010), while another study reported a tendency of CSF PGRN to be reduced with ongoing ALS and disease duration (Steinacker et al., 2011).
Cells of monocyte-lineage are the strongest expressers of PGRN
Since the cellular origins and the molecular mechanisms underlying PGRN dysregulation in these patient populations are unknown, we performed an immunohistochemical study to determine the origin of PGRN based on protein expression in select mouse and human organs in vivo. Our results show that PGRN expression in vivo is limited to certain epithelial and myeloid cells, and that tissue macrophages and dendritic cells exhibit the most PGRN expression in vivo. Serial single labeling or double labeling with macrophage and lymphoid cell markers demonstrated that lymphocytes are not a major PGRN-expressing cell type (Figs. 1 and 2). PGRN expression was low in lung and heart tissue, and staining was limited to rare isolated macrophages. In the kidney select proximal tubular epithelial cells were PGRN+ (Fig. 1 and other data not shown). Macrophages associated with visceral adipose tissue were strongly positive throughout the body. In the liver hepatocytes were positive, and hepatic macrophages (Kupffer cells) became positive when they are activated, such as with post viral vector (AAV9) injection. In the spleen large populations of strong PGRN-positive cells were present in the red pulp and in the subcapsular sinuses, and were fewer in the white pulp. The thymus similarly demonstrated large numbers of strong PGRN+ cells (not shown). Human tonsils also contained many strongly PGRN immunoreactive cells (see Figure 2). In mouse spleen and human tonsils, the distribution and morphology of PGRN+ cells, as well as Iba-1 and CD45 double labeling confirmed their identity as macrophages and dendritic cells, rather than lymphocytes (Figure 2). Tonsillar surface epithelial cells were only weakly PGRN+ (not shown). These results show that the amount of tissue PGRN expression is determined in part by the number of resident macrophages/dendritic cells and their activation status. Lymphoid organs such as spleen, thymus and tonsil are among the highest PGRN-expressing organs, with brain and liver showing intermediate levels, and heart and lung showing the lowest levels of PGRN. There were also qualitative differences between epithelial and myeloid PGRN immunoreactivity. For example, in the CNS microglia/macrophage PGRN staining was sharp and strong while neuronal PGRN was weak and punctate (Figure 1). In the cerebellum, Purkinje cells had no immunoreactivity, while cells in close contact with Purkinje cells including some microglia were positive (not shown). Choroid plexus epithelium and ependymal cells were negative (not shown). Together, these results illustrate that cells of myeloid lineage including macrophages, dendritic cells and microglia constitute a major cell type that expresses PGRN in vivo. Our data also suggest that lymphocytes are not a large source of PGRN. These results have implications for the understanding of the biomarker data (see below).
PGRN expression is upregulated in HIV encephalitis (HIVE)
Despite the strong emerging evidence pointing to the important role of PGRN in antimicrobial immune function, studies that directly examine the expression/role of PGRN in infectious diseases are rare. We performed analysis of PGRN expression in human brain specimens with HIV encephalitis (HIVE) and normal controls. Paraffin-embedded white matter sections of HIVE and control brains were obtained from the NNTC cohort; PGRN expression was determined by immunohistochemistry as described for Figures 1 and 2. Double immunofluorescence for PGRN and the macrophage/microglial marker CD68, or HIV gag p24, were performed as previously described (Suh et al., 2010; Cosenza-Nashat et al., 2006). HIVE lesions showed markedly increased PGRN immunoreactivity in macrophages and microglia, as determined by morphology (Figure 3) as well as CD68 double labeling (Figure 4). PGRN was prominently expressed in multinucleated giant cells, a morphologic hallmark of macrophages that are productively infected with HIV (Budka, 1986). Double labeling showed frequent co-localization of PGRN with HIV p24 antigen (Figure 4). These histological results were compared to brain gene array data obtained from subjects in the NNTC cohort (Figure 5A). GRN signal intensity was significantly higher in white matter and basal ganglia, but not in neocortex, of HIVE cases compared to controls. Control groups included brains from uninfected individuals (CON), brains from HIV-seropositive individuals without neurocognitive impairment or HIVE (HIV), or brains from HIV+ individuals with neurocognitive impairment but without HIVE (DEM). The increased PGRN mRNA expression in the basal ganglia of HIVE cases was confirmed by quantitative real-time PCR (Figure 5B). The absence of PGRN increase in the cortex of HIVE likely represents the known paucity HIVE pathologies in the cerebral cortex of affected individuals (Kure et al., 1990). Together, these results indicate that HIV replication in microglia and macrophages produces a marked increase in GRN gene transcription and translation.
Regulation of PGRN production in vitro
Despite the importance of macrophage and microglial PGRN, little information is available regarding the mechanism of regulation of expression PGRN in these cells. There is evidence that growth factors (including neural growth factors) are differentially regulated by the “proinflammatory” (Th1/M1) and “immunoregulatory” (Th2/M2) cytokines. For example, IFNγ suppresses and IL-4 induces insulin-like growth factor 1 (IGF1) in murine macrophages and microglia (Arkins et al., 1995; Wynes and Riches, 2003; Butovsky et al., 2006). In cultures of primary human CNS human cells, microglial cells are the primary source of PGRN with production of nanogram/ml concentrations at the “basal” level. Furthermore, the Th1/M1 cytokines (such as IL-1/IFNγ) and Th2/M2 cytokines (IL-4 or IL-13) decrease and increase microglial PGRN production, respectively (Suh et al., 2013). The toll-like receptor 4 (TLR4) ligand LPS potently suppresses production of PGRN, as well as IGF1, from microglia (Suh et al., 2013). Similar LPS-induced PGRN suppression has been reported in murine microglia (Baker and Manuelidis, 2003). These results together suggest the presence of common regulatory elements that control the expression of neuronal growth factors in macrophages and microglia. There is also evidence that the regulation of PGRN expression is cell type-dependent. For example, the Th1/M1 stimuli increase PGRN production from non-macrophage cell types such as astrocytes and fibroblasts (Li et al., 2002; Suh et al., 2012). Although the amount of PGRN produced by these cells is much smaller than macrophage cell types (Suh et al., 2012), the cell-type dependent responses to the same stimuli clearly add to the complexity of biomarker data interpretation. These results may be particularly relevant to the role of inflammation and PGRN in epithelial-lineage cancers. For example, although PGRN expression in reactive astrocytes in vivo is only rarely detected, malignant astrocytoma cells in situ express PGRN, with the degree of expression correlating with the tumor grade (Wang et al., 2012).
The interpretations of macrophage/microglia LPS response in vitro are also complicated given the immunohistochemistry studies of microglia in vivo which report only increases of PGRN immunoreactivity. There are several reasons for this discrepancy. First, LPS may not be a relevant stimulus for most CNS conditions. Second, LPS induces both M1 and M2 cytokine production from macrophages each inducing different (sometimes opposing) responses. Third, cultured microglia are already activated due to the presence of serum in the media and absence of other neural cell types (astrocytes, neurons) that are known to exert inhibitory influence on microglia (Wang et al., 2008; Liu et al., 1994). Therefore, the “basal” status of microglia in vivo and in vitro are not comparable. Nevertheless, the molecular and biochemical mechanisms elucidated in vitro shed light into the nature of the PGRN regulation, which appear to be different from most other immunologically regulated macrophage products.
PART 2: PGRN FUNCTION
Neurodegeneration and immune function of PGRN
To model FTLD caused by genetic PGRN deficiency and to study the role of Grn in neurodegeneration and innate immune functions, several gene knockout (Grn−/−) mice have been generated and characterized. While these studies support the general idea that PGRN contributes to normal aging, the CNS abnormalities in these mice are very subtle even though they are homozygous knockouts (Ahmed et al., 2010). The changes in these mice consist of increased neuronal lipofuscin accumulation and gliosis. Importantly, Grn−/− mice show exaggerated inflammation and cytokine production and impaired host defense, when challenged with pathogens or pathogenic components. In vitro, LPS-challenged Grn−/− macrophages reportedly produce higher amounts TNFα and IL-6 but less IL-10. Grn−/− mice also show defective clearance of Listeria monocytogenes from the brain (Yin et al., 2010). The cytokine-suppressive effect of (murine) microglial Grn has also been demonstrated in mice with CD11b-specific deletion of Grn (Martens et al., 2012). When challenged with 1-methyl-4-(2′-methylphenyl)-1, 2, 3, 6-tetrahydrophine (MPTP, a model of Parkinson’s disease), these mice showed exaggerated neuronal loss and over-expression microglial cytokines in vivo and in vitro. In a traumatic brain injury model, Grn-deficiency also led to an exacerbated inflammatory response and activation of microglia (Tanaka et al., 2013). These data together suggest that microglial Grn plays a crucial role in downmodulating cytokine production and neuroinflammation and ameliorating neuronal death through downmodulation of inflammation.
In contrast to these studies, others have reported cytokine-enhancing role of PGRN. For example, Grn was reported to be a necessary cofactor for TNFα and IL-6 production in mouse macrophages challenged with the TLR9 ligand (Park et al., 2011). Furthermore, Okura et al., reported that exogenous PGRN augmented and anti-PGRN antibody reduced the expression of TNFα and IL-1β from human macrophages (Okura et al., 2010). Our own study in primary human fetal microglia showed that GRN was involved in the induction of cytokines, especially TNFα. Using siRNA-mediated PGRN knockdown, and LPS and poly IC as stimuli, there was a~ 50% reduction in LPS- or poly IC-induced TNFα protein production in PGRN-knocked down microglia (Suh et al., 2012). Other cytokines and chemokines examined were less affected by PGRN knockdown. In these studies we did not observe any reduction in cytokine production by PGRN. Our results appear to contradict other data suggesting that PGRN can suppress cytokine production (Yin et al., 2010; Tang et al., 2011), yet they have important implications for a species-specific and stimulus-specific role of PGRN in the regulation of inflammation and host defense (see below).
Other aspects of macrophage biology have been shown to be affected by PGRN including phagocytosis, migration, and TNFα signaling (Eriksen and Mackenzie, 2008; Tang et al., 2011). Tang et al. showed that PGRN functions as a TNFα receptor antagonist in macrophages and proposed that PGRN and its engineered mutant are potentially efficacious in treating rheumatoid arthritis. The latter study reinforces the idea that PGRN plays a unique role in the regulation of TNFα expression/function. However, in human fetal microglia, we saw no evidence that PGRN acts as a TNFα antagonist.
Regulation of PGRN protein processing and its functional implications
The production of PGRN degradation products, granulins, and its biological consequences has been studied in detail in neutrophils and epithelial cells. These studies report that PGRN and granulins have opposing activities (Zhu et al., 2002). Information regarding the mechanism of granulin production from macrophages and microglia and the activity of granulin in macrophage biology has not been available. We have recently identified macrophage elastase (MMP-12) as a PGRN proteolytic enzyme and SLPI as an inhibitor of proteolysis in human microglia (and in a cell-free system) establishing MMP-12 and SLPI as potentially important modulators of PGRN biology in microglia (Suh et al., 2012). Previously, PGRN has been shown to be cleaved by MMP-14, MMP-9, and ADAMTS7, in addition to neutrophil elastase, making it likely that multiple enzymes are involved in producing granulins in the CNS (De and Van, 2011). Curiously, microglial MMP-12 activation and PGRN cleavage occurred intracellularly but not extracellularly. MMP-12 activity is regulated by several factors including Ca2+ concentration and pH (Gossas and Danielson, 2006), thus it is likely that extracellular PGRN proteolysis will occur under the conditions that sharply increase the Ca2+ levels such as during inflammation and cell death. These results also support the scenario that under inflammatory CNS conditions, PGRN production is suppressed while granulin production is increased, possibly switching the role of microglia from a neurotrophic one to an inflammatory one.
However, there are several pieces of information that contradict the idea that PGRN and granulins have opposing roles in macrophage inflammation. First, our study of human fetal microglia shows that PGRN conversion to granulins is minimal even under the strongest inflammatory conditions such as stimulation with LPS. To our knowledge, no data exists that demonstrate the amount of PGRN degradation to granulin in murine macrophages or neutrophils. Second, as mentioned earlier, PGRN increased the production of cytokines and chemokine including TNFα in human fetal microglia, which is opposite to the findings in murine macrophages.
Unexpectedly, we found no evidence that human fetal microglia produce SLPI (while inflammatory astrocytes produced large amounts of SLPI in vitro). In rodents, macrophages have been shown to be a significant source of SLPI (Jin et al., 1997). Few reports exist that demonstrate SLPI production by human macrophages (Taggart et al., 2005) and possibly in human microglia and macrophages SLPI expression is silenced in a fashion that is akin to iNOS (Denis, 1994; Schneemann et al., 1993; Albina, 1995). SLPI’s other known functions include inhibition of HIV infection and suppression of macrophage activation (Jin et al., 1997), in addition to anti-proteolytic activity. For example, extracellular SLPI has been shown to be taken up by macrophages and inhibit NF-κB activation and cytokine production following nuclear translocation (Jin et al., 1997). The low to absent SLPI expression by human microglia (and macrophages) might thus render these cells more prone to proinflammatory activation. These findings are further indications of important species-dependent regulatory mechanisms in PGRN biology.
PGRN as a neuronal growth factor
There is ample evidence for the essential role of PGRN in neuronal survival and function, the most important one being the clinical data that PGRN haploinsufficiency causes FTLD. Recombinant progranulin in primary neuronal cultures also show neutrophic effects (Van et al., 2008). The receptor for PGRN on neurons has been found to be sortilin which captures and internalizes extracellular PGRN for endosomal processing (Hu et al., 2010). Studies of mice with Grn deletion demonstrate that in mice, PGRN does not play an essential neurotrophic role as in humans. In addition, unlike other growth factor gene knockouts such as Igf1, which results in developmental anomaly (small brains, etc), PGRN deficiency (in both mice and humans) manifests only at later stages of life. These findings indicate that PGRN’s role in neuronal function is fundamentally different from those of neurotrophins and IGFs.
Based on the assumption that PGRN might induce neurotrophic gene expression in CNS cells, we performed preliminary gene expression analysis in human astrocyte cultures exposed to recombinant PGRN. PGRN induced the expression of mRNAs associated with neuroprotection and defense against oxidative injury including interleukin-11, leukemia inhibitory factor, thioredoxin and metallothionein 2A (data not shown). These results suggest a scenario in which microglial and neuronal GRN is secreted to adjacent cells such as astrocytes, which then induce neuroprotective and antioxidant factors (see Figure 6 below for hypothesis). We hypothesize that constitutive expression of PGRN in neurons and microglia helps to maintain normal CNS trophic environment through multiple cell-cell interactions. Conversely, chronic depletion of PGRN caused by gene mutations, polymorphisms, chronic proinflammatory states, and other as yet unidentified mechanisms can lead to neurodegeneration by suppressing neurotrophic and antioxidant mechanisms in the brain.
PGRN in innate immunity against pathogens
The observation that PGRN is primarily a product of cells of the innate immune system (neutrophils, monocytes and macrophages) suggests its role in antimicrobial activity. Its known function in modulating cytokine production (though the details vary depending of the report) also suggests such a role. Its antimicrobial role has been alluded to in an earlier study which showed delayed clearance of bacteria from the brains of Grn−/− mice (Yin et al., 2010). PGRN mRNA is highly expressed in the CNS with virulent Sindbis virus infection (Johnston et al., 2001). Limited clinical studies also suggest its possible role in infectious diseases. For example, PGRN expression was induced in gastric epithelial cells infected with Helicobacter pylori (Wex et al., 2011). The induction in vitro required direct contact between epithelial cells and live bacteria. H-pylori-infected subjects also had increased serum PGRN levels. These results suggest that increased PGRN expression is a natural response of gastric epithelial cells to infection.
As shown earlier, our analysis of HIVE also demonstrates co-expression of PGRN and the HIV p24, suggesting PGRN expression is part of the microglial response to HIV infection. Furthermore, gene array data show that PGRN mRNA expression is significantly upregulated in HIVE. The strongest link between HIV infection and PGRN production comes from our CHARTER sample analysis which shows highly significant (p <0.001) correlation between PGRN levels and the viral loads in both plasma and the CSF (manuscript in preparation). In vitro, PGRN is increased by HIV infection of microglia and this requires active viral replication, as the reverse transcriptase inhibitor, AZT, abolishes this effect (not shown). Our preliminary data employing PGRN siRNA suggest that the increased PGRN expression may act as a protective response to restrict HIV infection in the microglia. Taken together, these results strongly suggest that PGRN plays a role in the innate immune response to HIV infection. Potential mechanisms include PGRN-mediated production of antiviral cytokines and chemokines such as TNFα, RANTES, MIP-1α and MIP-1β (Si et al., 2002; Moore and Dragic, 1999). Another potential mechanism has been suggested by studies which demonstrated that PGRN directly binds to HIV-1 and HIV-2 Tat proteins and suppresses Tat-responsive promoters (Trinh et al., 1999; Shoham et al., 2003; Hoque et al., 2010).
Other studies have found that PGRN affects additional aspects of macrophage and microglial biology such as proliferation, recruitment, differentiation, activation and endocytosis/phagocytosis, all of which may be relevant to HIV-macrophage interactions. Pickford et al. demonstrated that PGRN acted as a chemoattractant for microglia in vitro, and its over-expression in vivo increased the number of activated microglia in the brain (Pickford et al., 2011). PGRN also enhanced microglial endocytosis of β-amyloid. Studies of the role of PGRN in phagocytosis using Grn −/− macrophages reported that PGRN inhibits phagocytosis of apoptotic cells (Kao et al., 2011). Another study found no differences in the phagocytic capacity between the wildtype and Grn −/− macrophages(Yin et al., 2010). PGRN is also implicated in macrophage and dendritic cell antigen presentation (Jian et al., 2013).
PGRN also plays a prominent role in endosomal lysosomal protein transport/processing. Importantly, a recent study in humans reports adult-onset lysosomal storage disease caused by homozygous PGRN deficiency (Cenik et al., 2012). PGRN also shows high affinity binding to the lysosomal transport protein sortilin, a purported neuronal receptor for PGRN (Hu et al., 2010). Furthermore, impaired autophagy-lysosomal pathway resulting in increased accumulation of autophagy-related receptor p62 and lysosomal proteases were reported in aged Grn −/− mice (Wils et al., 2012). Overexpression of TMEM106B, a protein localized in the late endosome/lysosome, induces impairment of endosomal and lysosomal degradation and elevated levels of PGRN in neuronal cells (Brady et al., 2013). As the endosomal-lysosomal pathway plays a major role in HIV biogenesis in macrophages and microglia, these results also implicate endosomal mechanisms for the PGRN activity observed in microglia. Thus, PGRN may modulate anti-HIV immunity through several mechanisms.
PGRN as a surrogate marker for HIV-associated NCI
A number of studies have attempted to identify biomarkers to monitor HIV immunopathogenesis in patients on cART, but thus far no candidate biomarker has proved to be useful clinically. Based on our novel preliminary data that microglial PGRN is induced by HIV infection and is involved in anti-HIV innate immune responses, but suppressed by proinflammatory stimuli and in the CSF of a subset of individuals with HAND, we hypothesize that PGRN plays a dual role with respect to the antiviral immunity and neuronal dysfunction (Figure 6).
In normal brain, constitutive PGRN expression maintains neuronal survival through promoting neurotrophic and antioxidant gene expression in a paracrine and cell-cell interactions involving microglia, astrocytes and neurons. In HIVE or in patients with active systemic viral replication, PGRN is upregulated and it plays a role in antiviral immunity. In patients with undetectable virus, progranulin from macrophages and microglia might be depleted due to several factors including ongoing chronic neuroinflammation. We propose Type I and Type II HAND designations for neurocognitively impaired individuals with and without detectable HIV, respectively. Our preliminary analyses of CHARTER samples demonstrate that the CSF PGRN levels tend to be lower in individuals with neurocognitive impairment, even after adjusting for CSF HIV RNA, age and CSF TNFα by multivariable analyses (manuscript in preparation). Furthermore, this trend becomes more accentuated in individuals with no detectable CSF viral load. We propose that low CSF progranulin levels in these patients contribute to neuronal dysfunction. We further propose that CSF PGRN levels may serve as a surrogate biomarker for type II HAND, with decreasing levels indicating poorer prognosis or a suboptimal response to therapy. If the CSF data are confirmed in a larger study, PGRN replacement therapy might be considered.
Concluding remarks and future studies
The available studies shed light into the PGRN biology in microglia and macrophages but also open up several important questions, such as the molecular mechanisms underlying microglial PGRN gene repression, and the signals that upregulate microglial PGRN expression in vivo. It is also unclear whether neuronal PGRN is under similar regulation. The fundamentally different role of microglial (macrophage) PGRN in inflammation (as opposed to PGRN’s generally implicated neurotrophic role) might suggest that neuron-autonomous PGRN might be important in the maintenance of normal neuronal physiology. The results also suggest that complete absence of PGRN in Grn−/− mice may not accurately reflect the relationship between neuronal and microglial PGRN (such as that occurs in FTLD), due to abolition of the reactive PGRN arm, such as that exists in myeloid cells. Future studies addressing these issues could aid the understanding of the mechanism by which PGRN deficiency predisposes to neurodegeneration. With regard to PGRN and antiviral immunity and neurocognitive decline, whether PGRN expression affects the risk of developing other neurodegenerative diseases such as HIV-associated neurocognitive impairment remains to be determined. There is also a need to determine whether the common GRN gene variants such as rs5848 predispose to neurocognitive impairments in HIV-infected individuals.
Acknowledgments
The authors thank the National NeuroAIDS Tissue Consortium (NNTC) for providing brain tissue and brain gene array data. We thank the CHARTER Group for providing clinical samples of blood plasma and cerebrospinal fluid. We also thank Dr Namjong Choi for excellent immunohistochemistry. We are grateful to Drs Scott Letendre, Yungtai Lo, Susan Morgello, and Yousin Suh for many helpful discussions. This study was supported by the NIH grants RO1MH55477, KO1MH084705 and the Einstein CFAR grant (P30AI051519). The NNTC is supported by the NIH including U01 MH083507, U01 MH083506, U01 MH083501, U01 MH083500, and U01 MH083545. The CHARTER study was supported by N01 MH22005, HHSN271201000036C and HHSN271201000030C from the National Institutes of Health.
ABBREVIATIONS
- AAV
adeno-associated virus
- AD
Alzheimer’s disease
- ALS
amyotrophic lateral sclerosis
- cART
combination antiretroviral therapy
- AZT
azidothymidine
- CHARTER
CNS HIV Anti-Retroviral Therapy Effects Research
- CJD
Creutzfeldt-Jakob disease
- CNS
central nervous system
- CSF
cerebrospinal fluid
- FTLD
frontotemporal lobar degeneration
- FTLD-U
FTLD-ubiquitin-positive
- GRN
human progranulin gene
- Grn
mouse or rat progranulin gene
- HAD
HIV-associated dementia
- HIVE
HIV encephalitis
- IGF1
insulin-like growth factor 1
- LPS
lipopolysaccharide
- M1
macrophage classical activation phenotype
- M2
macrophage alternative activation phenotype
- MMP-12
matrix metalloproteinase-12 (macrophage elastase)
- MS
multiple sclerosis
- NCI
neurocognitive impairment
- NNTC
National NeuroAIDS Consortium
- PGRN
progranulin
- SLPI
secretory leukocyte protease inhibitor
- SNP
single nucleotide polymorphism
- TLR
toll-like receptor
- VSVg-env HIV
vesicular stomatitis virus G envelope HIV
Footnotes
Competing interests: The authors declare no competing interests.
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