Abstract
Many members of the heat shock protein family act in unison to refold or degrade misfolded proteins. Some heat shock proteins also directly interfere with apoptosis. These homeostatic functions are especially important in proteinopathic neurodegenerative diseases, in which specific proteins misfold, aggregate, and kill cells through proteotoxic stress. Heat shock protein levels may be increased or decreased in these disorders, with the direction of the response depending on the individual heat shock protein, the disease, cell type, and brain region. Aging is also associated with an accrual of proteotoxic stress and modulates expression of several heat shock proteins. We speculate that the increase in some heat shock proteins in neurodegenerative conditions may be partly responsible for the slow progression of these disorders, whereas the increase in some heat shock proteins with aging may help delay senescence. The protective nature of many heat shock proteins in experimental models of neurodegeneration supports these hypotheses. Furthermore, some heat shock proteins appear to be expressed at higher levels in longer-lived species. However, increases in heat shock proteins may be insufficient to override overwhelming proteotoxic stress or reverse the course of these conditions, because the expression of several other heat shock proteins and endogenous defense systems is lowered. In this review we describe a number of stress-induced changes in heat shock proteins as a function of age and neurodegenerative pathology, with an emphasis on the heat shock protein 70 (Hsp70) family and the two most common proteinopathic disorders of the brain, Alzheimer’s and Parkinson’s disease.
Keywords: Chaperone, Vitagene, Proteostasis, Ageing, Aging, Adaptation, Hormesis
Proteotoxic stress responses in neurodegeneration and aging
Neurodegenerative diseases are primarily disorders of protein misfolding. For this reason, many authors refer to them as proteinopathies (Angot et al. 2010; Dickson 2009; Jellinger 2008, 2009; Uversky 2009; Xilouri and Stefanis 2010). Proteinopathies are characterized by the formation of fibrillar, amyloid-like structures that are insoluble in detergents, have a high content of proteinaceous β-sheets, and bind lipophilic dyes (Dobson 2003; Muchowski and Wacker 2005). The intermediate structures formed during the process of protein aggregation, oligomers and protofibrils, are known to be potent neurotoxins (Muchowski and Wacker 2005; Ross and Poirier 2004). In addition, non-enzymatic protein modifications by oxidants and glycating agents negatively affect protein structure and function, thereby eliciting severe proteotoxic stress (Nowotny et al. 2014). Recent evidence further suggests that the pathology in neurodegenerative disorders is transmissible from cell to cell and that neurons in specific brain regions die because of this overwhelming proteotoxic stress (Bae et al. 2012; Danzer et al. 2009; Desplats et al. 2009; Hansen et al. 2011; Luk et al. 2012a, b; Volpicelli-Daley et al. 2011). However, cells have evolved multiple systems to blunt the catastrophic impact of proteotoxic stress (Morimoto 2008, 2011). For example, the initial response to misfolded proteins in an otherwise healthy cell is to refold them back into their native shapes. This is accomplished by a large, interdependent network of chaperone and co-chaperone proteins that help prevent amyloid assembly. The best-studied examples of chaperones are the highly conserved heat shock family of proteins. Members of the heat shock protein family are induced by thermal stress, hence the name “heat shock” protein. However, many non-thermal stimuli also denature proteins, such as oxidative stress, mitochondrial collapse, hypoxia, irradiation, endoplasmic reticulum stress, and physical trauma, and these stimuli often also induce heat shock protein synthesis (Aridon et al. 2011; Lanneau et al. 2010). Heat shock proteins are so essential for life and well conserved across species that the genes encoding some of these proteins have been termed “vitagenes” by Vittorio Calabrese and his colleagues (Calabrese et al. 2011, 2012; Cornelius et al. 2013).
Despite the integrated network of chaperones and co-chaperones, proteins cannot always be folded back into their native shapes, especially when they are severely damaged. If the protein-saving systems fail to refold proteins, the irreparably damaged proteins can still be ubiquitinated and targeted to the 26S proteasome for clearance, again with the help of a retinue of chaperones and co-chaperones. The ubiquitin-proteasome system then degrades misfolded proteins into peptides via three types of catalytic sites: chymotrypsin-like, trypsin-like, and caspase-like (Goldberg 2003, 2007; Kisselev et al. 2003; Kisselev and Goldberg 2005; Lecker et al. 2006). The resulting short peptides are subsequently recycled into amino acids by peptidases in the cytosol. A second alternative to failed protein refolding is the process of lysosomal autophagy. In this process, proteins, carbohydrates, and lipids are engulfed by acidified lysosomes for macro- or microautophagic degradation (Cuervo 2004; Cuervo et al. 2005; Kaushik and Cuervo 2006; Wong and Cuervo 2010). Misfolded proteins with a KFERQ motif can also be guided by heat shock proteins into the lysosome via translocation through the lysosomal-associated membrane transporter (LAMP2a) (Arias and Cuervo 2011; Kaushik and Cuervo 2009; Massey et al. 2004, 2006; Orenstein and Cuervo 2010; Xilouri and Stefanis 2010). The latter process is known as chaperone-mediated autophagy because of its critical dependence on heat shock proteins. Under physiological conditions, these three systems, chaperone-guided protein refolding, ubiquitin-proteasomal degradation, and lysosomal autophagy are sufficient to handle mild fluctuations in the environmental milieu. However, under pathological conditions, these systems can become overwhelmed and then the affected neurons begin to die. The vast majority of neurons in the brain can never be replaced once they have disappeared. Therefore, improving chaperone defenses to help reduce proteotoxicity and subsequent neurodegeneration is an urgent priority for the aging population of the United States.
Although the neurodegeneration in Parkinson’s and Alzheimer’s disease is inexorable in its progression, it is also delayed in onset and surprisingly slow, unfolding only over the course of several decades towards the end of life. This is even true for familial forms of these disorders, despite the presence of genetic mutations from birth onwards. How can the stressed brain stem the tide of cell death for so long? One possibility is that the proteotoxic stress in these diseases is relatively mild and that neurons and glia can battle it for long periods of time, perhaps by raising pro-survival defenses such as the heat shock proteins. Given that neuronal systems in the brain are highly redundant and that it requires considerable cell loss before neurobehavioral syndromes finally emerge, a protective response to mild stress might well explain the length of time before clinical symptoms become manifest. However, defense systems may eventually become overwhelmed, lose heat shock protein expression, succumb to proteotoxicity, and ultimately self-destruct. Some brain regions are also likely to have higher heat shock protein expression than others, leading to heterogenous patterns of neurodegeneration and the signature topographical maps of protein inclusions that characterize neurodegenerative disorders. Studies that demonstrate higher or lower levels of heat shock proteins in the surviving tissue in neurodegenerative conditions are consistent with these possibilities and are therefore discussed in this review. Most commonly, there appear to be straightforward increases or decreases of heat shock proteins in neurodegenerative conditions and in aging, with the responses varying by heat shock protein, disease, cell type, brain region, etc. However, on occasion we have also observed a somewhat biphasic expression pattern in the heat shock protein response to age-related stress (Gleixner et al. 2014). If one assumes that age-related stress accrues over time, our findings bear some resemblance to the biphasic phenomenon of ‘hormesis,’ defined in the toxicological literature as low dose stimulation and high dose inhibition (Calabrese 2010, 2013; Calabrese and Blain 2011; Calabrese et al. 2010; Mattson 2008). A biphasic stress response to aging in the expression of some heat shock proteins would also be consistent with Hans Selye’s observations long ago that organisms can adapt to mild, short duration stress (eustress) but are weakened by severe, chronic stress (distress) (Selye 1975).
Our recent study of the impact of age on heat shock protein expression in the dorsal striatum and ventral mesencephalon also supports the notion that the effects of age-related stress vary depending upon the individual heat shock protein and the specific brain region in question (Gleixner et al. 2014). In addition to the identity of the heat shock protein and the brain region of interest, the direction of the stress response is also likely to vary with cell type. That is, some cells may be able to adapt better to severe stress than others. In this context, it is worth noting that the tissue assayed after death in neurodegenerative conditions includes those cells that have managed to resist severe proteotoxic stress through endogenous defenses, perhaps explaining why heat shock protein expression is often higher in diseased tissue (see below). Consistent with this notion, we have collected evidence in primary cortical astrocytes that the remaining glia that manage to survive severe proteotoxic stress successfully engage natural antioxidant and chaperone defense systems (Titler et al. 2013). Our findings are consistent with previous studies showing that astrocytes upregulate several heat shock proteins in neurodegenerative conditions (Dabir et al. 2004; Durrenberger et al. 2009; Kawamoto et al. 2007; Lowe et al. 1992; Renkawek et al. 1993, 1994a, b, 1999; Seidel et al. 2012; Shinohara et al. 1993; Wilhelmus et al. 2006). In our study, severe stress was defined as stress that was lethal to some fraction of the astrocyte population. The remaining astrocyte survivors required greater levels of proteotoxic injury before they died in response to a second proteotoxic hit, supporting the hypotheses that exposure to severe stress rendered them more resistant than before and that some types of stressed cells can become progressively harder to kill. Astrocytes are well known for providing metabolic, trophic, and antioxidant support to neurons (Allen and Barres 2009; Barres 2008; Zhang and Barres 2010) and are thought to engulf aggregated proteins such as α-synuclein and β-amyloid from the extracellular space (Lee et al. 2010a; Wyss-Coray et al. 2003). Healthier astrocytes that are less susceptible to proteotoxic stress should be able to support neighboring neurons more effectively. If this form of glial plasticity can be generalized to humans, it might help delay the onset and slow the progression of neuron loss in neurodegenerative disorders. However, this phenomenon of ‘survival of the fittest astrocytes’ cannot be generalized to all cell types. In some systems, the cells that survive severe stress are not resistant, but are actually sensitized to subsequent stress, so that the two hits of severe stress are synergistic in their toxic effects in these populations (Boger et al. 2010; Carvey et al. 2006; Gao and Hong 2011; Manning-Bog and Langston 2007; Sulzer 2007; Unnithan et al. 2012, 2013; Weidong et al. 2009; Zhu et al. 2001, 2007). In short, one might expect the direction of the stress response, i.e., whether it will elicit pro-survival or pro-death responses, to depend on cell type, heat shock protein expression, antioxidant defenses, dose and duration of the injury, previous exposures to other stressors, brain region, animal age, nutrient intake, physical activity levels, disease stage, and numerous other endogenous and environmental variables (Leak 2014).
In the following discussion of heat shock proteins, we will focus mostly on the heat shock protein 70 family as it is so well studied. The present review is not meant to be an exhaustive description of all heat shock proteins as a function of age/disease or of their specific roles in all experimental models of neurodegenerative disorders. We have further narrowed our discussion of neurodegenerative disorders to Alzheimer’s and Parkinson’s disease, as they are the two most common of these conditions. Finally, we have included several examples of age-related changes in heat shock proteins because aging is the major risk factor for these disorders and is known to elicit mild proteotoxic stress, as shown by an overall decline in proteasomal clearance capacity and autophagic activity (Conconi et al. 1996; Conconi and Friguet 1997; Cuervo 2008; Friguet et al. 2000; Keller et al. 2000a, b, 2002, 2004; Koga et al. 2011; Nowotny et al. 2014). Morimoto, Cuervo, and others have recently argued that the efficiency of the entire proteostasis network declines with age (Labbadia and Morimoto 2014; Lopez-Otin et al. 2013; Morimoto and Cuervo 2014), even though several heat shock proteins are upregulated with age (see below). This suggests that the ability of chaperones to be further induced by additional stress may be impaired in aged organisms (Arumugam et al. 2010; Blake et al. 1991; Labbadia and Morimoto 2014; Pardue et al. 1992; Soti and Csermely 2000), although whether this is a general rule has been questioned by some (Walters et al. 2001). One might also speculate that basal levels of some heat shock proteins are increased with aging as a compensatory adaptation to loss of efficiency of the proteostasis network.
Heat shock protein classification and function
Heat shock proteins have been classified into six major families according to their molecular mass in kilodaltons: the small heat shock proteins (<34 kDa; eg. αB-crystallin, Hsp27, Hsp32), Hsp40 (35–54 kDa), Hsp60 (55–64 kDa), Hsp70 (65–80 kDa), Hsp90 (81–99 kDa), and Hsp100 (>100 kDa) (Aridon et al. 2011). As mentioned above, the best studied of these heat shock proteins belong to the Hsp70 family, which has both stress inducible and constitutive members. Hsp70 proteins interact with hydrophobic peptide segments of unstructured proteins in an ATP-dependent manner. They are comprised of a C-terminal substrate-binding domain that recognizes the unstructured polypeptide segments, and an N-terminal ATPase domain that helps the protein alternate between an ATP-bound, open state with low substrate affinity and an ADP-bound closed state with high substrate affinity (Mayer and Bukau 2005). In support of the notion that heat shock protein upregulation in aged animals is compensatory in nature, higher basal levels of Hsp70 appear to be characteristic of longer-lived mammalian and avian species (Salway et al. 2011). Furthermore, humans exhibit 43-fold higher levels of Hsp70 than non-stressed rats and 14-fold higher levels than heat-shocked rats (Pardue et al. 2007). In addition, the constitutive member of this family, heat shock cognate 70 (Hsc70) is 1.5 fold more highly expressed in humans than rats (Pardue et al. 2007). Although authors have often used the terms Hsp70 and Hsc70 interchangeably, ‘Hsp70’ is typically used to refer to the major family members Hsp70A1 and Hsp70A2, which are identical or close to identical in amino acid sequence and are coded by the HSPA1A and HSPA1B genes, respectively. Hsp70 and Hsc70 share almost 90 % amino acid homology and exhibit quite similar biochemical properties (Brocchieri et al. 2008; Daugaard et al. 2007; Kabani and Martineau 2008). Some of the studies discussed below in reference to Hsp70 may therefore actually be reporting findings on Hsc70. Other than Hsp70A1, Hsp70A2, and Hsc70, which has both major (coded by HSPA8) and minor (coded by HSPA2) forms, the remaining Hsp70 proteins include the endoplasmic reticulum-associated glucose regulated protein 78 (GRP78, also known as BiP; coded by the HSPA5 gene), and mitochondrial Hsp70 (mtHsp70, also known as mortalin, glucose-regulated protein 75, and PBP74; coded by the HSPA9B gene). Several of the other Hsp70 family members are false entries, pseudogenes, or testes specific.
Once transcribed in response to stress, Hsp70 proteins form one of several complexes with other chaperones and co-chaperones. For example, the ATPase cycle of Hsp70 is modulated by Hsp40, which elicits an increase in ATPase activity (Bukau and Horwich 1998; Minami et al. 1996). Depending on the constituents of the complex, the complex either 1) refolds and rescues misfolded proteins or 2) guides proteins to the proteasome or lysosome for degradation if they are damaged beyond repair (Fig. 1). Hsp70 and Hsc70 overlap in the formation of these complexes and we will therefore simply refer to Hsp70 here. In the first scenario, Hsp70 binds Hip, Hop, and Hsp90, and helps refold the denatured protein in an ATP-dependent manner (Esser et al. 2004). Hip (or ST13) stands for Hsp70-interacting protein and prolongs the half-life of ADP-Hsp70-substrate complexes (Hohfeld et al. 1995; Hohfeld and Jentsch 1997). Because this interaction stabilizes the ADP-bound state of Hsp70, it increases its affinity for substrate proteins (Hohfeld et al. 1995). For example, Hip stabilizes the complex formed by Hsp70 and α-synuclein, thereby sustaining Hsp70-mediated anti-amyloid activity (Roodveldt et al. 2009). Notably, Hip is reportedly consistently reduced in levels in the blood of Parkinson’s patients (Scherzer et al. 2007).
Hip and Hop co-chaperones are both known as folding cofactors. Hop (Hsp70/90-organizing protein) is an adaptor that transfers client proteins from Hsp70 to Hsp90 (Scheufler et al. 2000). The tetratrico-peptide repeat-1 (TPR1) domain of Hop recognizes Hsp70 and the TPR2 domain recognizes Hsp90. Hsp90 is found at high levels even in unstressed cells; it has numerous client proteins that it stabilizes, folds, activates, and assembles and it affects the rate of folding of denatured proteins (Aridon et al. 2011; Johnson and Brown 2009; Pearl and Prodromou 2006). When proteins are damaged beyond repair and cannot be refolded, Hsp70 and Hsp90 both bind to the co-chaperone CHIP (carboxy terminus of Hsp70-interacting protein) so that the protein can be targeted for degradation (Ballinger et al. 1999; Connell et al. 2001). CHIP effectively blocks Hsp40-stimulated ATPase and refolding activities of Hsp70 (Ballinger et al. 1999). CHIP binds to the carboxyl terminus of Hsp70 (Esser et al. 2004) and can also bind to Hsp90 via its TPR-binding domain (Salminen et al. 2011). CHIP serves as an E3 ubiquitin ligase by attaching a polyubiquitin chain to the protein, thereby targeting the protein for proteasomal degradation (Jiang et al. 2001). The proteasomal degradation process facilitated by CHIP also requires binding of the nucleotide exchange factor Bcl-2-associated athanogene (BAG-1) to the ATPase, N-terminal domain of Hsp70 (Fig. 1) (Esser et al. 2004). In addition to serving as an E3 ubiquitin ligase, CHIP also specifically targets proteins for chaperone-mediated autophagy by binding to Hsc70, which then guides damaged proteins containing a KFERQ motif toward the lysosome (Arias and Cuervo 2011; Shin et al. 2005). Thus, CHIP can triage irreparably damaged proteins between the lysosome and proteasome (Kalia et al. 2011; Shin et al. 2005; Tetzlaff et al. 2008). Not surprisingly, CHIP deficiency induces a decline in proteasomal activity and accelerates cellular senescence (Min et al. 2008).
Hsp70 proteins also play an integral role in the inhibition of caspase-dependent and caspase-independent apoptosis (Kennedy et al. 2014; Lanneau et al. 2008). For example, Hsp70 has the capacity to neutralize apoptosis-inducing factor (AIF) (Kroemer 2001; Ravagnan et al. 2001), a mitochondrial intermembrane protein which translocates to the nucleus to induce chromatin condensation and DNA fragmentation (Cande et al. 2002). The ATPase domain of Hsp70 can also bind directly to the caspase recruitment domain of apoptotic protease activation factor 1 (Apaf1), thereby preventing Apaf1 oligomerization and inhibiting procaspase-9 recruitment to the apoptosome (Beere et al. 2000; Saleh et al. 2000). Furthermore, Hsp70 inhibits many pro-death signaling molecules, such as apoptosis signal-regulating kinase (Ask1) (Park et al. 2002), p38, and c-Jun N-terminal kinase (JNK) (Gabai et al. 2000; Park et al. 2001).
The endoplasmic reticulum plays an integral role in protein folding and transport and is rich in molecular chaperones, such as GRP78 and GRP94 (Brown and Naidoo 2012; Schroder and Kaufman 2005; Viana et al. 2012). Proteotoxic stress in the lumen of the endoplasmic reticulum can lead to the unfolded protein response (UPR) and endoplasmic reticulum-associated protein degradation (ERAD). The UPR is initially protective and clears damaged proteins through a series of signaling pathways, but it can also trigger apoptosis when the damage is excessive. Under physiological conditions, GRP78 holds on to the luminal N-termini of transmembrane, stress-sensitive proteins such as PRKR-like endoplasmic reticulum kinase (PERK), activating transcription factor 6 (ATF6), and serine/threonine-protein kinase/endoribonuclease (IRE1), serving to inactivate them (Brown and Naidoo 2012; Schroder and Kaufman 2005; Viana et al. 2012). When proteins within the lumen of the endoplasmic reticulum become damaged and misfolded, GRP78 must be freed from these positions to bind the hydrophobic regions of unstructured proteins. As a result, GRP78 is no longer able to hold and disengage the stress transducers, and the gears of the UPR are set in motion. In ERAD, aberrant proteins that cannot be refolded are exported to the cytoplasm and targeted to the 26S proteasome or lysosome for proteasomal or autophagic clearance. Under conditions of severe endoplasmic reticulum stress, pro-death signaling molecules such as p38 and JNK and transcription factors such as CCAAT-enhancer-binding protein homologous protein (CHOP) are also upregulated, so that dysfunctional cells can be cleared from the organism by apoptosis (Brown and Naidoo 2012; Schroder and Kaufman 2005; Viana et al. 2012). Proteotoxic stress in the endoplasmic reticulum may therefore trigger a biphasic response, with pro-survival UPR and ERAD responses predominating with mild injury, but UPR-initiated apoptosis predominating with severe injury.
Hsp32 is also known as heme oxygenase 1 (HO1) and differs from the other heat shock proteins in that it plays a more direct role in antioxidant defense. Hsp32 is induced by stress via the transcription factor nuclear factor erythroid 2 related factor 2 (Nrf2) (Zhang et al. 2013). Nrf2 is normally bound to kelch-like ECH-associated protein 1 (Keap1) homodimers in the cytoplasm under physiological conditions. Keap1 binding ensures that Nrf2 is tagged with ubiquitin and degraded by the proteasome. However, Keap1 has highly reactive cysteine residues that are exquisitely sensitive to electrophilic and oxidative stress (Yamamoto et al. 2008). Oxidation of these cysteine residues quickly initiates Nrf2/Keap1 dissociation so that Nrf2 can escape proteasomal degradation and translocate into the nucleus (McMahon et al. 2006; Zhang et al. 2013). Activated, nuclear Nrf2 then binds the antioxidant response element (ARE) in the promoter region of the Hsp32 gene as well as many other pro-survival genes, such as those involved in glutathione metabolism. Upon induction, Hsp32 plays a major role in the breakdown of toxic heme into the antioxidant biliverdin and the prosurvival molecule carbon monoxide (Aztatzi-Santillan et al. 2010; Grochot-Przeczek et al. 2012; Schipper 2000; Schipper et al. 2009; Wu et al. 2011). Biliverdin is further broken down into bilirubin, which also has potent antioxidant properties. Hsp32 is also induced by proteotoxic stress (Posimo et al. 2013; Titler et al. 2013), probably because oxidative and proteotoxic stress are inextricably intertwined and propel each other forward (Cecarini et al. 2007; Dasuri et al. 2013; Ding et al. 2006; Keller et al. 2000a, 2004).
Heat shock proteins in neurodegenerative disorders and aging
Many heat shock proteins are increased in tissue from elderly patients with neurodegeneration and in aged animals (Table 1) (Lee et al. 2000; Lu et al. 2004). If these increases in heat shock proteins serve to defend against proteotoxic stress, heat shock proteins should also be protective in experimental models of injury. Consistent with this hypothesis, Hsp70 has been shown to be protective in many experimental disease models, including the MPTP model of Parkinson’s disease and the β-amyloid model of Alzheimer’s disease (Dong et al. 2005; Jung et al. 2008; Kalia et al. 2010; Kumar et al. 2007; Magrane et al. 2004; Muchowski and Wacker 2005; Nagel et al. 2008; Sherman and Goldberg 2001). Furthermore, Hsp70 has been shown to enhance α-synuclein refolding or degradation, thereby decreasing α-synuclein fibrillization and toxicity (Klucken et al. 2004; Luk et al. 2008). There is an increase in the expression of HSPA1A and HSPA1B in the substantia nigra of patients with Parkinson’s disease, progressive supranuclear palsy, and frontotemporal dementia with parkinsonism (Hauser et al. 2005). In their report, Hauser and colleagues further suggested that Hsp70 induction was a “common response to mitigate the toxic effects of misfolded protein.” Hsp70 has been localized to aggregated protein deposits in Alzheimer’s brains as well as Lewy bodies in Parkinson’s brains, perhaps in an endogenous effort to reduce the toxicity of these protein aggregations (Leverenz et al. 2007; Muchowski and Wacker 2005).
Table 1.
mRNA/protein | Brain region | Finding | Condition | Gender, species, strain | Citation |
---|---|---|---|---|---|
Hsp70 | Substantia nigra | + | Parkinson’s disease | Male and female humans combined | Hauser et al. 2005 |
Inferior parietal lobule | + | Mild cognitive impairment | Male and female humans combined | Di Domenico et al. 2010 | |
Blood | + | Mild cognitive impairment | No effect of gender in humans | Lee et al. 2008 | |
Hippocampus | + | Alzheimer’s disease | Male and female humans combined | Sultana et al. 2007 | |
Temporal cortex | + | Alzheimer’s disease | No effect of gender in humans | Yoo et al. 1999 | |
Olfactory neurons | − | Decrease in Alzheimer’s disease | Male and female humans combined | Getchell et al. 1995 | |
Olfactory neurons | − | Aging | Male and female humans combined | Getchell et al. 1995 | |
Cortex, striatum, hippocampus, cerebellum | + | Aging | Male Wistar rats | Calabrese et al. 2004 | |
Inferior colliculus | − | Aging | Male Fischer-344 rats | Helfert et al. 2002 | |
Striatum and cortex | − | Aging | Male C57BL6 mice; Male F344/BN rats | Arumugam et al. 2010; Gupte et al. 2010 | |
Blood | + | Aging | No gender difference in humans | Njemini et al. 2007 | |
Hsc70 | Substantia nigra, amygdala | − | Parkinson’s disease | Male and female humans combined | Chu et al. 2009; Alvarez-Erviti et al. 2010; Mandel et al. 2005 |
Blood | + | Parkinson’s disease | No effect of gender in humans | Molochnikov et al. 2012 | |
Hippocampus | + | Aging in humans | Male and female humans combined | Tohgi et al. 1995 | |
Striatum | − | Aging in female rats | Female Sprague–Dawley rats | Gleixner et al. 2014 | |
Pons, medulla, striatum, nigra, thalamus | + | Aging in male rats | Male Wistar rats | Unno et al. 2000; Calabrese et al. 2004 | |
mtHsp70 | Substantia nigra | − | Parkinson’s disease | Male and female humans combined | Jin et al. 2006 |
GRP78 | Temporal cortex, hippocampus | + | Alzheimer’s disease | Male and female humans combined | Hoozemans et al. 2005; Hamos et al. 1991 |
Temporal cortex | − | Alzheimer’s disease | Gender not specified in humans | Katayama et al. 1999 | |
Substantia nigra | + | Aging | Male and female humans combined | Alladi et al. 2010 | |
Cortex, striatum | − | Aging | Male C57BL6 mice | Arumugam et al. 2010 | |
Cortex, hippocampus | − | Aging | Male C57B/6 J mice; Male Wistar rats | Hussain and Ramaiah 2007; Naidoo et al. 2008; Paz Gavilan et al. 2006 | |
Hsp27 | Putamen, substantia nigra | + | Parkinson’s disease | No effect of gender in humans | Zhang et al. 2005 |
Temporal cortex | + | Dementia with Lewy bodies | Male and female humans combined | Outeiro et al. 2006 | |
Hippocampus | + | Parkinson’s disease with dementia, Alzheimer’s disease | No effect of gender in humans | Renkawek et al. 1994a; Renkawek et al. 1999 | |
Inferior parietal lobule, hippocampus | + | Mild cognitive impairment | Male and female humans combined | Di Domenico et al. 2010 | |
Temporal, parietal, and frontal lobes | + | Alzheimer’s disease | Male and female humans combined | Shinohara et al. 1993 | |
Striatum, nigra, globus pallidus, cortex | + | Aging | Male and female FVB/NJ mice combined; Female Spraque-Dawley rats; Male F344/BN rats | Dickey et al. 2009; Gleixner et al. 2014; Gupte et al. 2010 | |
Globus pallidus, nigra | + | Aging | Male and female rhesus monkeys combined | Schultz et al. 2001 | |
Hsp32 | Hippocampus and cortex | + | Alzheimer’s disease | Male and female humans combined | Schipper et al. 2006 |
Substantia nigra | + | Parkinson’s disease | Gender not specified in humans | Schipper et al. 1998 | |
Cortex | + | Aging | Male and female humans combined | Hirose et al. 2003 | |
Blood | + | Aging | No gender difference in humans | Njemini et al. 2007 | |
Striatum | + | Middle age in female rats | Female Sprague–Dawley rats | Gleixner et al. 2014 | |
Substantia nigra | − | Transient decrease with aging in female rats | Female Sprague–Dawley rats | Gleixner et al. 2014 | |
Cortex and striatum | − | Aging in male mice | Male C57BL6 mice | Arumugam et al. 2010 | |
Hsp90 | Cingulate cortex | + | Parkinson’s disease | No gender difference in humans | Uryu et al. 2006 |
Temporal cortex | − | Alzheimer’s disease | Male and female humans combined | Yokota et al. 2006 | |
Blood | − | Alzheimer’s disease | Gender not specified in humans | Gezen-Ak et al. 2013 | |
Hippocampus | + | Aging | Male Mongolian gerbils | Lee et al. 2011 | |
Blood | + | Aging | No gender difference in humans | Njemini et al. 2007 |
In mild cognitive impairment, a potentially prodromal stage of Alzheimer’s disease, there is an increase in Hsp70 expression in the inferior parietal lobule of the telencephalic cortex (Di Domenico et al. 2010). Patients with mild cognitive impairment also exhibit increased levels of Hsp70 in plasma (Lee et al. 2008). An analysis of the hippocampal proteome in Alzheimer’s disease revealed an increase in Hsp70 expression (Sultana et al. 2007), in agreement with previous studies showing an increase in Hsp70 in the highly vulnerable temporal cortex (Yoo et al. 1999). Finally, Hsp70 expression is also increased in aged animals in the cerebral cortex, striatum, hippocampus, and cerebellum (Calabrese et al. 2004) as well as in blood cells from aged human subjects (Njemini et al. 2007). It should be noted that Hsp70 does not rise in every brain region with stress exposure, as it has been shown to decline within olfactory neurons in older human subjects and in Alzheimer’s patients (Getchell et al. 1995). Hsp70 levels are also reduced by aging in the inferior colliculus (Helfert et al. 2002). Furthermore, some authors have observed age-related reductions in Hsp70 in the striatum and cortex of older male rats and mice (Arumugam et al. 2010; Gupte et al. 2010). We have observed an increase in Hsp70 levels in the telencephalic cortex of middle-aged female rats that is reversed in the older animals, as if the response to age-related stress were biphasic (Posimo and Leak, unpublished observations). Gender is an important variable to consider as studies on males have not always translated well to women (Clayton and Collins 2014). All these Hsp70 studies reveal that no simple generalizations about heat shock proteins can be made across brain regions, cell types, species, types of stress, or gender. Furthermore, as will become evident below, the direction of the response to stress, i.e., whether there is a loss or an increase, varies greatly depending on the individual heat shock protein.
Several studies on the constitutively expressed Hsc70 protein reveal that expression is reduced in neurodegenerative conditions, unlike many of the Hsp70 studies discussed above. For example, Hsc70 levels are reduced within nigral neurons in Parkinson’s disease (Chu et al. 2009). As mentioned above, Hsc70 guides misfolded proteins to the lysosomal membrane, where LAMP2a translocates the damaged protein into the lysosomal compartment for autophagic degradation (Arias and Cuervo 2011; Massey et al. 2006; Orenstein and Cuervo 2010). Other studies have shown that Hsc70 and LAMP2a are both lowered in the substantia nigra and amygdala in Parkinson’s disease and that these markers may even be trapped within Lewy bodies (Alvarez-Erviti et al. 2010). These findings have been interpreted to suggest that the ventral midbrain suffers from significant reductions in chaperone-mediated autophagy in Parkinson’s patients. As one would expect, the changes in nigral Hsc70 protein levels in Parkinson’s disease are accompanied by a parallel loss in Hsc70 mRNA (Mandel et al. 2005). On the other hand, the mRNA levels of Hsc70 are increased in blood samples from patients with Parkinson’s disease (Molochnikov et al. 2012). These findings show that the direction of the Hsc70 stress response depends upon cell type (e.g. blood cell versus nigral neuron).
The entorhinal cortex and hippocampus in the temporal lobe both exhibit relatively low levels of Hsc70 and Hsp27 expression (Chen and Brown 2007). This finding has led to the hypothesis that these brain regions are especially vulnerable to Alzheimer’s disease because of relatively low basal expression of these two heat shock proteins (Chen and Brown 2007). Alzheimer’s disease is strongly linked with conformational changes in tau protein, which normally stabilizes microtubules in the cytoskeleton. Pathologically hyperphosphorylated tau forms an integral part of neurofibrillary tangles, one of the anatomical hallmarks of this disorder. Hsc70 is thought to rapidly engage tau under conditions of microtubule destabilization (Jinwal et al. 2010) and may regulate its proteasomal degradation by ubiquitination, perhaps in conjunction with the E3 ubiquitin ligase CHIP (Elliott et al. 2007; Shimura et al. 2004). Thus, if some brain regions and cell types exhibit low Hsc70 levels, they might be all the more vulnerable to neurofibrillary tangles, as was argued by Chen and Brown for the entorhinal cortex and hippocampus (Chen and Brown 2007).
Reports on age-related changes in Hsc70 show mixed results. We recently discovered that Hsc70 levels drop with age in the striatum of the female rat (Gleixner et al. 2014). However, Unno and colleagues have reported an increase in the basal level of Hsc70 in the pons, medulla, striatum, and thalamus in male rats (Unno et al. 2000). Others have also found an age-related increase in Hsc70 in the striatum and substantia nigra of male rats (Calabrese et al. 2004). These discrepancies could reflect gender- and/or strain-specific effects, although the tissue from male and female rats or from different strains would have to be assayed in parallel before making any conclusions. In humans, the density of Hsc70 mRNA-expressing neurons in the hippocampus is higher in older subjects (Tohgi et al. 1995).
Unlike many Hsp70 proteins, the mitochondrial member of this family, mtHsp70, is not highly induced in response to heat stress but is increased in response to other stimuli such as glucose deprivation and oxidative injury (Aridon et al. 2011). mtHsp70 is known to play a role in the mitochondrial import complex and in mitochondrial biogenesis (Brunner et al. 1995; Schneider et al. 1994). Using an unbiased quantitative proteomic approach, Jin and colleagues have reported that mtHsp70 levels are decreased in the mitochondrial fraction of the substantia nigra in Parkinson’s patients (Jin et al. 2006). Furthermore, several variants of the gene that codes for mtHsp70 (HSPA9) have been found in a small cohort of late-onset Parkinson’s patients (De Mena et al. 2009). Some of the phenotypes associated with mtHsp70 mutations are characterized by mitochondrial dysfunction, such as respiratory incompetency and increased susceptibility to oxidative stress (Burbulla et al. 2010; Goswami et al. 2012). On the other hand, mutations in HSPA9 are not common in early-onset Parkinson’s disease (Freimann et al. 2013).
The endoplasmic reticulum Hsp70 family member, GRP78, has been shown to reduce α-synuclein toxicity in experimental models of Parkinson’s disease (Gorbatyuk et al. 2012). However, polymorphisms in the gene coding for GRP78 (HSPA5) are not thought to be strongly associated with an increased risk for developing the disorder (Chen et al. 2008). In models of Alzheimer’s disease, GRP78 has been shown to bind amyloid precursor protein and decrease β-amyloid secretion (Yang et al. 1998). Amyloid precursor protein is a ubiquitously expressed transmembrane protein from which β-amyloid peptides are cleaved. In Alzheimer’s brain tissue, β-amyloid peptides coalesce to form extracellular senile plaques or aggregations with a fibrillar, β-pleated structure (Mucke and Selkoe 2012; Walsh and Selkoe 2007). β-amyloid may also initiate cellular damage intracellularly (Hsia et al. 1999). Some studies have reported an increase in GRP78 levels in the highly vulnerable temporal cortex and hippocampus in Alzheimer’s patients (Hoozemans et al. 2005). Other studies have not reported changes in GRP78 in Alzheimer’s brain tissue (Sato et al. 2000) but have reported induction of the UPR in this condition (Lee et al. 2010b). These studies disagree with previous assessments that GRP78 and GRP94 are downregulated within the temporal cortex in Alzheimer’s patients (Katayama et al. 1999). The Katayama group further suggested that GRP78 is decreased in cells expressing mutations in presenilin, which can cause early-onset familial Alzheimer’s disease (Katayama et al. 1999). The latter authors have therefore argued that the UPR is downregulated by presenilin mutations in familial Alzheimer’s disease (Imaizumi et al. 2001; Katayama et al. 2004), although this hypothesis has been contested (Sato et al. 2000). These discrepancies may reflect differences in the stage of the illness at which tissue is harvested, the precise brain regions dissected at autopsy, and inter-laboratory technical differences in the assays. In particular, the nature of the assays must always be borne in mind while evaluating studies of postmortem tissue. For example, immunohistochemical assays allow the investigator to localize the expression of heat shock proteins within specific neuronal and glial populations, affording much higher spatial resolution than Western blotting. In Western blotting, protein changes within specific cell populations may be masked because the entire group of cells is lysed and homogenized. On the other hand, immunohistochemistry is much less quantitative and sensitive than immunoblotting, especially with the newer infrared, fluorescent methods for Westerns. The spatial/anatomical advantage of immunohistochemical studies is exemplified by reports showing that GRP78 is increased in Alzheimer’s brains within surviving neurons that appear cytologically normal in the CA3 subfield of the hippocampus and the deep layers of the entorhinal cortex (Hamos et al. 1991). Using immunohistochemical and stereological tools, GRP78 levels have also been shown to be increased in the substantia nigra of older Asian Indians, suggestive of age-related compensatory changes in the endoplasmic reticulum (Alladi et al. 2010). Contrary to the immunohistochemical findings in the human nigra, GRP78 levels are lowered in homogenates of the cortex and striatum in the aged mouse brain (Arumugam et al. 2010), suggestive of differences across brain regions, species, and/or assay techniques. Many other studies have similarly shown that GRP78 is decreased in aged tissue, such as the cerebral cortex and hippocampus (Hussain and Ramaiah 2007; Naidoo et al. 2008; Paz Gavilan et al. 2006).
As with many other heat shock proteins, the small heat shock proteins αB-crystallin, Hsp27 (Hsp25 in rodents), and Hsp32 are all stress-inducible (Krueger-Naug et al. 2002; Lanneau et al. 2010). Hsp27 and αB-crystallin have both been shown to reduce α-synuclein toxicity in experimental models of Parkinson’s disease (Outeiro et al. 2006). αB-crystallin is highly expressed in cortical neurons in Parkinson’s disease, particularly at sites predisposed to α-synuclein pathology, such as the anterior temporal and insular mesocortex (Braak et al. 2001). However, Braak and colleagues observed through a series of immunohistochemical studies that neurons expressing αB-crystallin generally do not develop Lewy pathology, and conversely, neurons with Lewy pathology fail to accumulate this heat shock protein (Braak et al. 2001). These findings suggest that those neurons that can mount a heat shock protein response are relatively protected from amyloid formation and exemplify the spatial advantages of immunohistochemical studies.
Hsp25 is known to improve the catalytic activity of the proteasome particle and to inhibit caspase-mediated apoptotic pathways (Acunzo et al. 2012; Lanneau et al. 2008, 2010). Hsp27 levels are increased within the nigrostriatal pathway of Parkinson’s victims (Zhang et al. 2005). Furthermore, Schultz and colleagues observed that ubiquitin, αB-crystallin, and Hsp27 were all increased in spheroid bodies in the globus pallidus and substantia nigra, pars reticulata of aged rhesus monkeys (Schultz et al. 2001).
Dementia may also be associated with higher Hsp27 expression. For example, Hsp27 mRNA levels are increased in dementia with Lewy bodies (Outeiro et al. 2006) and the expression of both Hsp27 and αB-crystallin is increased in reactive astrocytes of the hippocampus in Parkinson’s disease with dementia (Renkawek et al. 1994a, 1999). Recent studies have also shown that there is an increase in Hsp27 expression in the inferior parietal lobule and the hippocampus of patients suffering from mild cognitive impairment (Di Domenico et al. 2010). Furthermore, Hsp27-immunoreactive neurons and αB-crystallin-immunoreactive astrocytes are found more frequently in the temporal, parietal, and frontal lobes of patients with Alzheimer’s disease than of controls (Shinohara et al. 1993). As one might expect, Hsp27 and αB-crystallin are also present in senile plaques (Shinohara et al. 1993; Stege et al. 1999) and Hsp27 is particularly highly expressed in astrocytes of brain regions housing abundant senile plaques (Renkawek et al. 1993, 1994a; Wilhelmus et al. 2006). This may reflect a natural attempt to mitigate proteotoxic injury because Hsp27 overexpression has been shown to ameliorate symptoms in transgenic mouse models of Alzheimer’s disease (Toth et al. 2013). It is instructive that Hsp27 expression increases with the severity of the pathological changes as well as the duration of the disease (Renkawek et al. 1993, 1994a; Wilhelmus et al. 2006). We and others have reported that Hsp25 is also markedly increased by aging in the striatum, substantia nigra, globus pallidus, and cerebral cortex (Dickey et al. 2009; Gleixner et al. 2014; Gupte et al. 2010). Using immunofluorescent confocal analyses, we also determined that Hsp25 is expressed within tyrosine hydoxylase+ dopaminergic neurons in the substantia nigra, pars compacta (Gleixner et al. 2014). As one would expect age-related stress to be the most severe in the oldest group, our findings of high Hsp25 expression in the oldest animals are consistent with the highest expression of Hsp27 levels in the most severely affected Alzheimer’s patients (Renkawek et al. 1993, 1994a; Wilhelmus et al. 2006). In contrast, Hsp60, Hsp40, and Hsp32 were all found to be higher in either the striatum or nigra in middle-aged animals, not in the oldest group (Gleixner et al. 2014). Unlike the situation with Hsp25, the age-related changes in Hsp60, Hsp40, and Hsp32 that we observed in female rats are more consistent with a biphasic “aging curve.” If the duration of age-related stress leads to a biphasic aging curve in some but not all heat shock proteins, our findings suggest that the stress threshold for maximal induction of Hsp40, Hsp32, and Hsp60 is lower than for Hsp25 because they all peak earlier than Hsp25.
The heat shock protein involved in antioxidant defense, Hsp32, is reportedly higher in hippocampal and cortical neurons and astrocytes in Alzheimer’s patients (Schipper 2000; Schipper et al. 2006). Furthermore, Hsp32 is increased in astrocytes in Parkinson’s disease and is found in Lewy bodies (Schipper et al. 1998). Some authors have suggested that Hsp32 might be destructive in these conditions because it breaks down heme into ferrous iron, potentially increasing the risk for Fenton chemistry and iron toxicity (Schipper 2011). Indeed, heme-derived iron and carbon monoxide may both increase the risk for oxidative stress (Desmard et al. 2007; Zhang and Piantadosi 1992). On the other hand, co-induction of apoferritin appears to limit Hsp32 toxicity (Dennery 2000; Ryter and Tyrrell 2000), and many studies have verified that Hsp32 is protective (Calabrese et al. 2009; Jazwa and Cuadrado 2010; Zhang et al. 2013). We found that Hsp32 expression is highest in the striatum at middle age, but that there is a transient drop in Hsp32 in the ventral midbrain of 16–19 months old female rats (Gleixner et al. 2014). Other groups have shown a drop in Hsp32 in the cortex and striatum of middle-aged and old male mice (Arumugam et al. 2010). However, Hsp32 levels are increased with aging in the human cerebral cortex (Hirose et al. 2003) and in human peripheral blood cells (Njemini et al. 2007).
Hsp90 exhibits high levels of expression under basal conditions because of its constitutive role in protein folding. Hsp90 is known to work in concert with Hsp70 to maintain proteins such as tau in a soluble and functional conformation (Dou et al. 2003) and to inhibit early stages of β-amyloid aggregation (Evans et al. 2006). Hsp90 can also inhibit α-synuclein aggregation by interaction with soluble oligomers (Daturpalli et al. 2013; Falsone et al. 2009). In Parkinson’s models, CHIP and Hsp90 both modulate the stability of leucine-rich repeat kinase 2 (LRRK2), a protein in which mutations increase the risk for developing Parkinson’s disease (Ding and Goldberg 2009; Hurtado-Lorenzo and Anand 2008; Ko et al. 2009; Rudenko et al. 2012; Wang et al. 2008). Furthermore, the mitochondrial Hsp90 protein, tumor necrosis factor receptor-associated protein 1 (TRAP1), is known to mitigate α-synuclein toxicity (Butler et al. 2012). Hsp90 levels are increased in the brain of Parkinson’s patients (Uryu et al. 2006) and Hsp90 is found in Lewy bodies in this condition (Auluck et al. 2002; Kalia et al. 2010; Klucken et al. 2004; McLean et al. 2002). However, serum levels of Hsp90 have been shown to be decreased in patients with Alzheimer’s disease (Gezen-Ak et al. 2013). Hsp90 has also been shown to be downregulated in the temporal lobe in Alzheimer’s disease (Yokota et al. 2006). In contrast, no changes have been observed in Hsp90 levels in the cerebellum, hippocampus, or parietal lobule in patients with mild cognitive impairment (Di Domenico et al. 2010). Similar to our recent study of the striatum and substantia nigra of the female rat, Dickey and colleagues reported no age-related change in Hsp90 in whole brain extracts (Dickey et al. 2009). However, immunohistochemical studies have shown that Hsp90 and its co-chaperone p23 increase dramatically with age in the pyramidal cells of the hippocampus proper and in polymorphic cells of the dentate gyrus (Lee et al. 2011). There is also an age-related increase in basal Hsp90 levels within human blood cells (Njemini et al. 2007). Finally, there is an increase in Hsp90 in the 20S proteasomal fraction of the aged brain and liver, suggesting increased recruitment of this protein to help rescue cells from age-related loss of proteasome activity (Dasuri et al. 2009).
Conclusions
Proteotoxic stress is a hallmark of age-related neurodegenerative disorders and heat shock proteins are one of the most important natural defenses against it. Thus, learning how to safely boost heat shock proteins at the right time and in the right location may have an immense impact on the future treatment of Alzheimer’s and Parkinson’s disease. Some of the age-related neurodegenerative disorders already elicit an endogenous increase in several heat shock proteins. This may represent a compensatory mechanism to restore homeostatic equilibrium and slow down the progression of age- or disease-related pathologies. If a particular heat shock protein is highest in the very oldest group of individuals and increased in patients with Alzheimer’s and Parkinson’s diagnoses, the threshold of proteotoxic stress at which that protein is maximally induced must be fairly high, as appears to be the case with Hsp25. However, it is evident from this review that the heat shock protein response to stress is highly variable and defies any simplistic generalizations. For example, for many heat shock proteins, there is no increase with age-related stress, but a gradual age-related decline or a biphasic response to aging. Furthermore, some heat shock proteins are not affected or decreased in postmortem tissue from Parkinson’s and Alzheimer’s victims. The patients studied in these latter reports are likely to be at advanced Braak stages of the disorder because they suffer from a clinically overt syndrome and considerable amounts of tau or α-synuclein pathology are present in the brains of patients with confirmed diagnoses (Braak and Braak 1995, 1997a, b; Braak et al. 2003). Thus, the inhibition of some heat shock proteins with the severe proteotoxic stress associated with these diagnoses is consistent with Selye’s views of the negative impact of chronic stress (Selye 1975). Further studies of heat shock protein expression are warranted as a function of earlier Braak stages, such as in patients with incidental Lewy body disease, a potentially prodromal phase of Parkinson’s disease or in patients with mild cognitive impairment, which may reflect incipient dementia. It is possible that temporal kinetic studies as a function of Braak stage will show biphasic responses of at least some heat shock proteins to disease duration and/or severity.
Given the signature topographic patterns of neurofibrillary tangle and Lewy pathology in Alzheimer’s and Parkinson’s disease, it seems likely that some brain regions suffer from greater proteotoxic stress than others. Furthermore, within specific brain regions, usually one phenotypically defined cellular population is the most vulnerable group. Further examinations of topographic heat shock protein expression as a function of brain region and cell type with immunohistochemical and Western immunoblotting tools would therefore be valuable. Furthermore, correlating heat shock protein expression within specific brain regions with their gradual development of tau+ and α-synuclein+ inclusions in Alzheimer’s or Parkinson’s disease may yield deeper insights into the effects of the dose/severity of proteotoxic stress on the nature of the heat shock protein response. As is the case with the antioxidant thiol glutathione, one might expect resilient regions/cell types to exhibit higher heat shock protein levels than more vulnerable groups (Mythri et al. 2011). On the other hand, heat shock protein induction may be higher in more vulnerable brain regions precisely because they are exposed to greater stress, as we have recently shown for the differentially vulnerable neocortex and allocortex of the telencephalon (Posimo et al. 2013). Although the allocortex is much more vulnerable to neurofibrillary and Lewy pathology than the neocortex, we discovered that it can also mount dynamic defensive responses to proteotoxic stress, such as high stress-induced increases in Hsp70 and Hsp32 (Posimo et al. 2013). If the compensatory heat shock protein response in highly susceptible brain regions were blocked, those brain regions would be expected to become all the more vulnerable to neurodegeneration. In other words, loss of heat shock protein activity in highly vulnerable brain regions is expected to be all the more catastrophic.
Given the variability in heat shock protein expression in the aged and diseased brain, we propose that the increases or decreases observed in postmortem tissue must be interpreted in the context of topographic and cell-specific neurodegeneration. If the majority of cells captured in postmortem tissue from patients with neurodegenerative disorders are those that have successfully survived proteotoxic stress, homogenized tissue from that brain region would be expected to show a net increase in at least some heat shock proteins, even in the brain regions most prone to developing tau, α-synuclein, or β-amyloid pathology. Conversely, if postmortem tissue exhibits lower levels of heat shock proteins, the majority of cells captured at that cross-sectional point may already be on the way to demise. Because of the striking heterogeneity of brain tissue, it might be useful to co-label heat shock proteins with apoptotic markers such as cleaved caspase 3 or TUNEL staining at the cellular level in order to determine whether those cells that are destined to die are indeed the ones with lowest heat shock protein expression and whether the survivors retain or increase heat shock proteins. Similarly, heat shock proteins could be co-labeled with markers for tau+ or α-synuclein+ inclusions to determine whether cells that manage to avoid Lewy or tangle pathology have higher heat shock protein expression, as shown for αB-crystallin by Braak and colleagues (Braak et al. 2001). In this manner, compensatory responses in a few resistant cell types would not be masked by loss of heat shock proteins in other, more vulnerable and numerous cell types in the usual assays of homogenized brain tissue.
Finally, another variable to consider in studies of heat shock proteins is gender, as Parkinson’s disease appears to be more common in men and Alzheimer’s disease in women. For example, Hsp70 is regulated by exercise in a sex-specific manner in the myocardium, with potential implications for the prescription of exercise to men versus women (Milne and Noble 2008). For this reason, we have listed gender in Table 1. However, differences in heat shock protein expression as a function of gender can only be rigorously determined when female and male tissue is examined in parallel under precisely the same assay conditions. Although a few studies have controlled for gender dimorphisms, many studies on human tissue simply combine male and female subjects because of a low “n”. Although no obvious sex differences were noted in Table 1, the typically small sample size of many human studies may not generate sufficient statistical power to detect a subtle gender difference. The rodent studies in Table 1 do not suffer from this sample size limitation, but only examine male tissue, with the exception of our recent study on female rats (Gleixner et al. 2014). Therefore, Clayton and colleagues have recently argued that females should be examined with greater frequency (Clayton and Collins 2014).
In conclusion, it would be useful to investigate the heat shock protein response to age- and disease-related proteotoxic stress with greater temporal and spatial resolution as well as a new focus on gender. These data would help support or refute the hypothesis that early increases in heat shock proteins serve to delay the progression of age-related proteinopathies within resistant cell subpopulations whereas decreases in heat shock proteins serve to hasten cellular demise in the more vulnerable groups. Furthermore, if there are sex differences in heat shock proteins, it will be important to determine if they contribute to male/female differences in the risk of developing neurodegeneration.
Acknowledgments
We apologize that we were not able to include all the many references on heat shock protein expression in the brain. RKL has no conflicts to declare. We are grateful to Mary Caruso, Deb Willson, and Jackie Farrer for outstanding administrative support.
Abbreviations
- ARE
Antioxidant response element
- AIF
Apoptosis-inducing factor
- Apaf1
Apoptotic protease activation factor 1
- Ask1
Apoptosis signal-regulating kinase
- ATF6
Activating transcription factor 6
- BAG-1
Bcl-2-associated athanogene
- CHIP
Carboxy terminus of Hsp70-interacting protein
- CHOP
CCAAT-enhancer-binding protein homologous protein
- JNK
c-Jun N-terminal kinase
- ERAD
Endoplasmic reticulum-associated protein degradation
- GRP
Glucose-regulated protein
- Hsc70
Heat shock cognate 70
- Hsp
Heat shock protein
- HO1
Heme oxygenase 1
- Hip
Hsp70-interacting protein
- Hop
Hsp70/90-organizing protein
- Keap1
Kelch-like ECH-associated protein 1
- LRRK2
Leucine-rich repeat kinase 2
- LAMP2a
Lysosomal-associated membrane transporter 2a
- mtHsp70
Mitochondrial Hsp70
- Nrf2
Nuclear factor erythroid 2 related factor 2
- PERK
PRKR-like endoplasmic reticulum kinase
- IRE1
Serine/threonine-protein kinase/endoribonuclease
- TPR1
Tetratrico-peptide repeat-1
- TRAP1
TNF receptor-associated protein 1
- UPR
Unfolded protein response
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