Mini Review ARTICLE
The regulated secretory pathway and human disease: insights from gene variants and single nucleotide polymorphisms
- 1Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- 2Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- 3Department of Geriatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
The regulated secretory pathway provides critical control of peptide, growth factor, and hormone release from neuroendocrine and endocrine cells, and neurons, maintaining physiological homeostasis. Propeptides and prohormones are packaged into dense core granules (DCGs), where they frequently undergo tissue-specific processing as the DCG matures. Proteins of the granin family are DCG components, and although their function is not fully understood, data suggest they are involved in DCG formation and regulated protein/peptide secretion, in addition to their role as precursors of bioactive peptides. Association of gene variation, including single nucleotide polymorphisms (SNPs), with neuropsychiatric, endocrine, and metabolic diseases, has implicated specific secreted proteins and peptides in disease pathogenesis. For example, a SNP at position 196 (G/A) of the human brain-derived neurotrophic factor gene dysregulates protein processing and secretion and leads to cognitive impairment. This suggests more generally that variants identified in genes encoding secreted growth factors, peptides, hormones, and proteins involved in DCG biogenesis, protein processing, and the secretory apparatus, could provide insight into the process of regulated secretion as well as disorders that result when it is impaired.
General Overview of Regulated Secretion
Neuronal and endocrine peptides, growth factors, and hormones maintain physiological homeostasis. Their release is therefore tightly controlled by regulated secretion (1). Messenger RNAs (mRNAs) are translated and secreted proteins enter the cisternae of the rough endoplasmic reticulum (RER), are transported to the trans-Golgi network (TGN), are targeted into immature dense core granules (DCGs), and are retained in mature DCGs (also called large dense core vesicles or LDCVs), in endocrine and neuronal cells. Proteins including members of the granin family, such as chromogranin A (CgA), chromogranin B (CgB), secretogranin II (SgII), and secretogranin III (SgIII), the exopeptidase carboxypeptidase E (CPE), and prohormone convertases 1/3 and 2 (PC1/3 and PC2), are also sorted into DCGs, which in addition, increase the diversity of biologically active peptides through processing of granin precursor proteins (2).
Although the sorting of proteins into DCGs is not fully understood, interaction of DCG cargo proteins with TGN lipid raft-anchoring or membrane-spanning proteins (SgIII, CPE, sortilin) plays an essential role in docking and concentrating of DCG components and is critical for the correct sorting of cargo proteins and for vesicle biogenesis (3, 4). DCG sorting domains have been identified in prohormones, propeptides, and granins, and although not highly conserved, these polypeptide motifs are required for regulated secretion. After budding from the TGN, immature DCGs undergo acidification, mediated by the DCG membrane-spanning proton pump, leading to activation of resident prohormone convertases and carboxypeptidases. All granin members and most other propeptides, prohormones, and prohormone convertases are known to undergo proteolytic processing during granule maturation, which is essential for enzymatic activation and the generation of biologically active peptides.
Granin family members, including CgA, CgB, SgII, and SgIII, are the most abundant DCG components, with CgA, for example, constituting almost half of the soluble protein content of the adrenal chromaffin cell secretory granule (5). The importance of granin proteins in vesicle biogenesis has been demonstrated by overexpression of CgA or CgB in cells that lack a classical regulated secretory pathway, such as fibroblasts, which results in the production of granule-like structures and the regulated release of vesicle contents (6, 7). Moreover, gene silencing studies demonstrate reciprocal effects on DCG biogenesis, with decreased DCG number reported in PC12 cells that contain reduced levels of CgA or SgII, and in the adrenal medulla of CgA knockout mouse (8–10). Other CgA and CgB knockout mouse models, although showing no change in DCG number in adrenal medulla and other endocrine tissues, were found to have increased levels of other granin proteins, which is likely due to compensatory mechanisms (11, 12).
Mechanisms by Which Genetic Variants Can Impact Secreted Proteins
Single nucleotide polymorphisms (SNPs) are the most common genetic variations in genomic DNA, occurring 1/1200 bp on average (13). Individual SNPs submitted to the Single Nucleotide Polymorphism Database (dbSNP), a service provided by the National Center for Biotechnology Information (NCBI), are assigned a unique reference SNP ID number (rs#) to map the SNP to other external databases. Many SNPs are silent variations and their occurrence does not affect gene expression or protein function. However, a single nucleotide change has the potential to modulate protein level or function if the SNP is located: (1) in the promoter region, which may alter transcriptional activity, (2) in intronic regions, which may interfere with splicing efficiency if the SNP is found at exon-intron boundaries in splice donor sites, regulatory sequences, or splice acceptor sites, (3) in the 3′ untranslated region (3′UTR), which may affect the expression levels of either mRNA or protein due to altered cis-elements including mRNA destabilization sequences, AU-rich elements, and translational repressor binding sites, including miRNA targeting sites, and (4) in the protein coding region, which can cause missense or nonsense mutations. Nonsense mutations can result in premature termination of translation and the production of truncated proteins, while missense mutations can lead to loss-of-function or gain-of-function. With respect to proteins in the regulated secretory pathway, missense SNPs could impact enzymatic catalytic activity, alter peptide affinity for receptors, impair protein sorting when found in targeting motif(s) of secretory proteins, or block peptide processing when located in the cleavage sites of prohormones or propeptides (Figure 1).
Figure 1. Regulated secretory pathway of a model neuroendocrine cell. Single nucleotide polymorphisms (SNPs) can affect granule biogenesis and release through these mechanisms: (1) SNPs in the promoter or 3′UTR of granule-associated genes modulate gene expression levels, resulting in altered granule biogenesis, (2) SNPs in the pro-domain of peptides or hormones block their processing and/or sorting into the regulated pathway, (3) SNPs in convertase/peptidase catalytic or regulatory domains reduce enzymatic activity and lead to aberrant propeptide processing, (4) SNPs in the signal peptide and/or sorting domain(s) disrupt regulated secretion, and (5) SNPs that change the processing or sequence of neuropeptides modulate membrane receptor binding affinity. TrkB, tropomyosin-related kinase B receptor; INSR, insulin receptor.
Reported SNPs in Genes Encoding Secreted Proteins that are Associated with Neuropsychiatric or Endocrine/Metabolic Disease
Neurotrophic growth factors, hormones, peptide precursors, prohormone convertases, granins, and other DCG proteins are secreted through the regulated or constitutive secretory pathways. Even relatively subtle changes in protein processing, levels, or regulated secretion, due to specific SNPs that impact a variety of proteins in the secretory pathway, have been reported to be associated with neuropsychiatric or metabolic disease, and these studies are reviewed below.
Brain-derived neurotrophic factor
Brain-derived neurotrophic factor (BDNF) is well known for its role in regulating neuroplasticity and neurogenesis in the brain. A functional variant in the propeptide domain of BDNF, SNP rs6265 (G- to A-allele, Val66Met), was found to affect the secretion of BDNF (14). Previous biochemical studies have shown that BDNF (Met66, encoded by minor A-allele) fails to bind to sortilin through its pro-domain region, and this lowers its activity-dependent secretion due to failed DCG sorting and localization (14, 15). BDNF (Met66) is associated with reduced brain volume, impaired episodic memory (16), and high trait anxiety (17). Two other SNPs located at the protease cleavage site of the proBDNF protein, SNPs rs1048220 (G- to T-allele, Arg125Met) and rs1048221 (G- to T-allele, Arg127Leu), partially impair proBDNF cleavage but not DCG sorting and secretion (18). The minor alleles of SNP rs1048220 (T-allele) and SNP rs1048218 (T-allele) have also been associated with familial and sporadic Alzheimer’s disease (19).
Nerve growth factor
Mature nerve growth factor (NGF) binds to tropomyosin-related kinase A (TrkA) receptor tyrosine kinase and activates signaling pathways that regulate neuronal differentiation and survival. Unprocessed proNGF, however, has higher binding affinity for the p75NTR neurotrophin receptor, and can stimulate either cell survival or programed cell death (20). SNP rs6330 (C- to T-allele, Ala35Val) was previously identified in the pro-domain region of NGF, which has the potential to alter the efficiency of proNGF sorting or processing. The nucleotide variant of SNP rs6330 was found to be associated with increased anxiety in women (C-allele) (21), was over-transmitted in Attention Deficit Hyperactivity Disorder (ADHD)-affected children (C-allele) (22), and was associated with Alzheimer’s disease onset (both C- and minor T-alleles) (19, 23).
Expression of proopiomelanocortin (POMC), the precursor of several processed neuropeptides [α-MSH, adrenocorticotrophic hormone (ACTH), β-MSH, and β-endorphin], is regulated by the adipocyte-derived hormone leptin, which signals by binding receptors on neurons in the hypothalamic arcuate nucleus. The POMC-derived peptide α-MSH activates the melanocortin 4-receptor (MC4R) and suppresses food intake. Lack of POMC in humans and mouse models leads to the development of severe obesity, ACTH deficiency, and hypopigmentation (24, 25). A missense amino acid substitution by SNP rs28932472 (G- to C-allele, Arg236Gly) in the POMC gene was reported to disrupt the dibasic processing site between β-MSH and β-endorphin. The minor C-allele that encodes POMC (Gly236) results in an aberrant fusion peptide of β-MSH and β-endorphin, which still binds to the MC4R but antagonizes its activation. As a consequence, the Gly236 variation is associated with early onset obesity in several ethnic groups (26).
Expressed in the arcuate nucleus of the hypothalamus, agouti-related peptide (AgRP) is an endogenous antagonist of the MC4R that increases feeding behavior. The amino acid substitution of Ala67 to Thr67 caused by SNP rs5030980 (G- to A-allele) in the AgRP gene is associated with Anorexia Nervosa and leanness (27). In healthy subjects, homozygosity for the Thr67 allele is associated with low body fat mass and low lean body mass, while the Ala67 allele is associated with late-onset obesity. Although the Thr67 variation results in no detectable change in binding to the MC4R or sorting efficiency into and secretion from DCGs, the polarity of the amino acid substitution may cause a conformational change in AgRP, affecting other peptide functions that need further characterization (28).
Neuropeptide Y (NPY) is a potent orexigenic peptide that is also expressed in the hypothalamus. It regulates energy balance through effects on energy intake, expenditure, and partitioning. A non-synonymous SNP rs16139 that leads to an amino acid change (T- to C-allele, Leu7Pro) in the signal peptide domain of preproNPY has been reported to cause a tertiary structural change in its sorting domain, and this Pro7 substitution alters intracellular proNPY packaging, processing, and secretion (29–31). NPY (Pro7) is associated with elevated food intake, altered free fatty acid (FFA) metabolism and high serum cholesterol and LDL cholesterol levels, but doesn’t affect insulin sensitivity, insulin secretion, or glucose metabolism (30, 32, 33). Lower plasma NPY and norepinephrine concentrations, and lower insulin but higher glucose concentrations in plasma, were also reported in the population with the Pro7 substitution (34).
A nucleotide variation in the proinsulin gene is located at the C-peptide-A-chain junction (C65, causes Arg to His), and the His65 substitution prevents processing of the dibasic cleavage site, resulting in hyperproinsulinemia that is caused by the accumulation of a circulating, biologically defective form of the proinsulin intermediate peptide, which fails to be metabolized via receptor-mediated endocytosis (35). The other identified proinsulin nucleotide variation results in an amino acid substitution of B10 (His to Asp), resulting in aberrant proinsulin sorting into the constitutive secretory pathway and a subsequent failure in peptide processing, which is also associated with hyperproinsulinemia in affected individuals (36, 37).
Proteins of the granin family, including the chromogranins and secretogranins, have been demonstrated to play an important role in DCG biogenesis, in neural, neuroendocrine, and endocrine cells (2). It is not too surprising, then, that a number of SNPs which alter granin expression levels have been associated with metabolic diseases or neurological disorders, because physiological homeostasis is tightly regulated by neuropeptides, growth factors, and hormones, all of which are processed and stored in DCGs.
Chromogranin A (CHGA)
The combination of SNPs that are inherited together is called a haplotype, which can be used for studying genetic linkage of diseases. Two haplotype polymorphism carriers, haplotype (A-T-C) of SNPs rs9658634–rs9658635–rs7159323 in the CHGA promoter region, and haplotype (T-C) of SNPs rs7610–rs875395 in the CHGA 3′UTR and downstream regions, are linked to hypertensive renal disease (38). SNP rs9658634 in the CHGA promoter was found to be located in a predicted PPARγ/RXRα binding motif, and the nucleotide variant A-allele disrupted reporter expression that was co-stimulated by PPARγ/RXRα and their cognate ligands. Physiologically, the minor A-allele is associated with lower leptin secretion, as well as lower BMI, especially in women (39). SNP rs7610 (minor T-allele) has been identified in CHGA, showed decreased reporter expression in PC12 pheochromocytoma cells, and was associated with lower plasma chromogranin A levels and blood pressure (BP) in a sex-dependent manner (40). Other polymorphisms identified in CHGA coding sequence (rs9658667, G- to A-allele, Gly364Ser, and rs9658668, C- to T-allele, Pro370Leu) result in altered catestatin activity, changing its potency to inhibit nicotinic acetylcholine receptor (nAChR)-stimulated catecholamine release from chromaffin cells, and likely linking these SNPs to an increased risk of developing hypertension (41, 42). SNP rs9658635 and haplotype (C-T) of SNPs rs9658635–rs729940 are both linked to the onset of schizophrenia in the Japanese population, but their effect on CHGA gene expression remains to be determined (43).
Chromogranin B (CHGB)
Reduced chromogranin B levels have been observed in the thalamic subregion, the mediodorsal nucleus, parvocellular division (MDNp; CHGB mRNA levels), and cerebrospinal fluid (both CgA and CgB protein levels) of schizophrenic patients (44, 45). Two polymorphisms identified in the CHGB coding sequence, rs236152 (C- to G-allele, Arg353Gly) and rs236153 (A- to G-allele, Glu368Glu), are associated with schizophrenia in a Japanese population study, although the functional consequences of these two SNP variants are unknown (46). A haplotype (A-T) of SNPs rs236140–rs236141 identified in the CHGB gene promoter region shows the highest transcriptional strength in reporter assays carried out in PC12 cells, and interestingly, the (A-T) haplotype is strongly associated with hypertension (47). The SNP rs2821 (minor A-allele) found in an RNA-destabilizing A/U-rich motif of the CHGB 3′UTR was reportedly associated with lower plasma chromogranin B levels in population studies, likely due to shortened CHGB mRNA half-life (48).
Secretogranin II and secretogranin III (SCG2 and SCG3)
Single nucleotide polymorphism rs1017448 (minor A-allele) was found in the first intron of the SCG2 gene. It is significantly associated with elevated BP, and likely increases SCG2 gene expression by facilitating the recruitment of paired-like homeobox transcriptional factor 2a (Phox2a) (49). SNP rs3764220 (A-allele), which is found in the promoter region of the SCG3 gene, is associated with metabolic syndrome-related physiological changes, including dyslipidemia, hypertension, and impaired glucose tolerance, with increased risk of cardiovascular disease-related morbidity and mortality (50). SNP rs16964465 (minor C-allele) in the SCG3 promoter region and minor G-allele of rs16964476 in the first intron, both enhanced transcriptional activity of a reporter in the neuroblastoma cell line SH-SY5Y (51). Interestingly, in hypothalamus, SgIII protein is detected in both POMC and NPY neurons in the arcuate nucleus, and in orexin-expressing and melanin-concentrating hormone (MCH)-expressing neurons in the lateral hypothalamus; all these neuropeptides regulate food intake (51). Notably, these two minor alleles, both associated with increased SgIII expression, seemed to confer resistance to the onset of obesity, suggesting the possibility that decreased SgIII levels could reciprocally increase the risk of obesity.
Peptidases and Convertases
Prohormone convertase 1/3
Prohormone convertases are a family of endopeptidases that cleave proteins at internal sites, generally paired or clustered basic lysine, and/or arginine residues. PC1 is encoded by the proprotein convertase, subtilisin/kexin-type 1 (PCSK1) gene. Two functionally relevant SNPs, originally identified in different PCSK1 alleles of a female patient with childhood early onset obesity, are associated with abnormal glucose homeostasis, and elevated plasma proinsulin and POMC levels (52, 53). SNP rs137852821 (G- to A-allele) changes an amino acid from Gly483 to Arg483, which prevents processing of proPC1 and favors its retention in the RER. Another C-allele variant found in the intron-5 donor splice site of PCSK1 gene also causes exon 5 skipping and results in premature termination of PC1 translation in the catalytic region. Yet another identified non-synonymous allele substitution that is associated with early onset obesity is SNP rs6232 (A- to G-allele), which changes Asn221 to Asp221 and causes impaired catalytic function of PC1 (54).
Carboxypeptidase E trims C-terminal lysine and arginine residues from peptides that are generated by prohormone convertase cleavage of precursor proteins at paired dibasic residues (55). Notably, CPE is also a sorting/retention receptor for proinsulin and proBDNF trafficking to the regulated secretory pathway (56, 57). The SNP rs144727363 (C- to T-allele, Arg189Trp) in the CPE coding region changes arginine to tryptophan, which reduces enzymatic activity of CPE, and is associated with hyperproinsulinemia and type II diabetes mellitus in affected Ashkenazi Jewish families (58). Similarly, a missense mutation in the CPE gene (Ser202Pro), identified from the mouse fat/fat model, which generates an enzymatically inactive and unprocessed protein product, results in impaired processing of proinsulin and other propeptides, chronic hyperproinsulinaemia, and obesity (59–61).
Other Proteins that Regulate Secretory Pathway Function
ATP6V0A1 encodes the α1 subunit of the vacuolar H+-translocating ATPase complex, which functions in acidification of intracellular organelles. Bafilomycin A1, a chemical inhibitor of the vacuolar H+ ATPase, impairs DCG formation, and the sorting of secretory proteins into the regulated pathway (62). A reported SNP rs938671 (minor C-allele, 3246 T/C) in the 3′UTR of ATP6V0A1 gene creates a binding motif for the micro-RNA hsa-miR-637, which decreases overall gene expression of ATP6V0A1. Its clinical association with hypertension may be due to altered DCG acidification by the risk C-allele, and as a consequence, decreased sorting, retention, and/or processing of DCG components (63).
Sortilin, a Vps10p domain protein, binds to proBDNF, and other polypeptides and facilitates their trafficking into the regulated secretory pathway (15). Plasma membrane sortilin also functions as an internalization receptor for apolipoprotein A-V and progranulin uptake (64, 65). Several SNPs are located in a non-coding region downstream of the SORT1 allele and strongly correlate with increased sortilin expression, including SNP rs12740374 (minor T-allele), which creates a C/EBPα binding site, SNP rs646776 (minor C-allele), and SNP rs599839 (minor G-allele). Increased sortilin expression is reported to associate with reduced ApoB secretion, enhanced LDL uptake in the liver, and increased uptake of plasma progranulin (66–69). How these existing SNPs affect other known function of sortilin, including propeptide sorting, is still unclear.
Protein secretion from neuroendocrine, neural, and endocrine cells is a complex, highly regulated process. Due to the nature of the cargo, which includes critical growth factors, hormones, peptide precursors, the enzymes that process them, and proteins that function in secretory vesicle biogenesis, subtle alterations in the regulated secretory pathway, and/or the proteins transiting through it, can have a significant physiological impact. Many studies reviewed here describe the association of specific, discrete SNPs in the genes of secreted proteins with the risk or onset of human disease. Neuropsychiatric disorders such as schizophrenia, metabolic disorders including obesity and diabetes, and hypertension are strongly associated with a number of well-characterized SNPs. These identified SNPs together with genome-wide association studies (GWAS) and molecular and cellular analyses of SNP function will advance our understanding of the process of regulated secretion and the important roles that secreted and secretory proteins play in maintaining physiological homeostasis.
Conflict of Interest Statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Research in the authors’ laboratory is supported by NIH grants MH086499 and DE021996, and by the Diabetes Action Research and Education Foundation.
2. Bartolomucci A, Possenti R, Mahata SK, Fischer-Colbrie R, Loh YP, Salton SR. The extended granin family: structure, function, and biomedical implications. Endocr Rev (2011) 32:755–97. doi:10.1210/er.2010-0027
5. O’Connor DT, Frigon RP. Chromogranin A the major catecholamine storage vesicle soluble protein. Multiple size forms, subcellular storage, and regional distribution in chromaffin and nervous tissue elucidated by radioimmunoassay. J Biol Chem (1984) 259:3237–47.
9. Courel M, Soler-Jover A, Rodriguez-Flores JL, Mahata SK, Elias S, Montero-Hadjadje M, et al. Pro-hormone secretogranin II regulates dense core secretory granule biogenesis in catecholaminergic cells. J Biol Chem (2010) 285:10030–43. doi:10.1074/jbc.M109.064196
10. Mahapatra NR, O’Connor DT, Vaingankar SM, Hikim AP, Mahata M, Ray S, et al. Hypertension from targeted ablation of chromogranin A can be rescued by the human ortholog. J Clin Invest (2005) 115:1942–52. doi:10.1172/JCI24354
11. Hendy GN, Li T, Girard M, Feldstein RC, Mulay S, Desjardins R, et al. Targeted ablation of the chromogranin a (Chga) gene: normal neuroendocrine dense-core secretory granules and increased expression of other granins. Mol Endocrinol (2006) 20:1935–47. doi:10.1210/me.2005-0398
12. Obermuller S, Calegari F, King A, Lindqvist A, Lundquist I, Salehi A, et al. Defective secretion of islet hormones in chromogranin-B deficient mice. PLoS ONE (2010) 5:e8936. doi:10.1371/journal.pone.0008936
14. Egan MF, Kojima M, Callicott JH, Goldberg TE, Kolachana BS, Bertolino A, et al. The BDNF val66met polymorphism affects activity-dependent secretion of BDNF and human memory and hippocampal function. Cell (2003) 112:257–69. doi:10.1016/S0092-8674(03)00035-7
15. Chen ZY, Ieraci A, Teng H, Dall H, Meng CX, Herrera DG, et al. Sortilin controls intracellular sorting of brain-derived neurotrophic factor to the regulated secretory pathway. J Neurosci (2005) 25:6156–66. doi:10.1523/JNEUROSCI.1017-05.2005
16. Hariri AR, Goldberg TE, Mattay VS, Kolachana BS, Callicott JH, Egan MF, et al. Brain-derived neurotrophic factor val66met polymorphism affects human memory-related hippocampal activity and predicts memory performance. J Neurosci (2003) 23:6690–4.
17. Montag C, Basten U, Stelzel C, Fiebach CJ, Reuter M. The BDNF Val66Met polymorphism and anxiety: support for animal knock-in studies from a genetic association study in humans. Psychiatry Res (2010) 179:86–90. doi:10.1016/j.psychres.2008.08.005
18. Koshimizu H, Kiyosue K, Hara T, Hazama S, Suzuki S, Uegaki K, et al. Multiple functions of precursor BDNF to CNS neurons: negative regulation of neurite growth, spine formation and cell survival. Mol Brain (2009) 2:27. doi:10.1186/1756-6606-2-27
21. Lang UE, Hellweg R, Bajbouj M, Gaus V, Sander T, Gallinat J. Gender-dependent association of a functional NGF polymorphism with anxiety-related personality traits. Pharmacopsychiatry (2008) 41:196–9. doi:10.1055/s-0028-1082070
22. Syed Z, Dudbridge F, Kent L. An investigation of the neurotrophic factor genes GDNF NGF, and NT3 in susceptibility to ADHD. Am J Med Genet B Neuropsychiatr Genet (2007) 144B:375–8. doi:10.1002/ajmg.b.30459
23. Di Maria E, Giorgio E, Uliana V, Bonvicini C, Faravelli F, Cammarata S, et al. Possible influence of a non-synonymous polymorphism located in the NGF precursor on susceptibility to late-onset Alzheimer’s disease and mild cognitive impairment. J Alzheimers Dis (2012) 29:699–705. doi:10.3233/JAD-2012-112006
24. Krude H, Biebermann H, Luck W, Horn R, Brabant G, Gruters A. Severe early-onset obesity, adrenal insufficiency and red hair pigmentation caused by POMC mutations in humans. Nat Genet (1998) 19:155–7. doi:10.1038/509
26. Challis BG, Pritchard LE, Creemers JW, Delplanque J, Keogh JM, Luan J, et al. A missense mutation disrupting a dibasic prohormone processing site in pro-opiomelanocortin (POMC) increases susceptibility to early-onset obesity through a novel molecular mechanism. Hum Mol Genet (2002) 11:1997–2004. doi:10.1093/hmg/11.17.1997
27. Vink T, Hinney A, van Elburg AA, van Goozen SH, Sandkuijl LA, Sinke RJ, et al. Association between an agouti-related protein gene polymorphism and anorexia nervosa. Mol Psychiatry (2001) 6:325–8. doi:10.1038/sj.mp.4000854
28. de Rijke CE, Jackson PJ, Garner KM, van Rozen RJ, Douglas NR, Kas MJ, et al. Functional analysis of the Ala67Thr polymorphism in agouti related protein associated with anorexia nervosa and leanness. Biochem Pharmacol (2005) 70:308–16. doi:10.1016/j.bcp.2005.04.033
29. Kallio J, Pesonen U, Karvonen MK, Kojima M, Hosoda H, Kangawa K, et al. Enhanced exercise-induced GH secretion in subjects with Pro7 substitution in the prepro-NPY. J Clin Endocrinol Metab (2001) 86:5348–52. doi:10.1210/jc.86.11.5348
30. Ding B, Kull B, Liu Z, Mottagui-Tabar S, Thonberg H, Gu HF, et al. Human neuropeptide Y signal peptide gain-of-function polymorphism is associated with increased body mass index: possible mode of function. Regul Pept (2005) 127:45–53. doi:10.1016/j.regpep.2004.10.011
31. Mitchell GC, Wang Q, Ramamoorthy P, Whim MD. A common single nucleotide polymorphism alters the synthesis and secretion of neuropeptide Y. J Neurosci (2008) 28:14428–34. doi:10.1523/JNEUROSCI.0343-08.2008
32. Karvonen MK, Pesonen U, Koulu M, Niskanen L, Laakso M, Rissanen A, et al. Association of a leucine(7)-to-proline(7) polymorphism in the signal peptide of neuropeptide Y with high serum cholesterol and LDL cholesterol levels. Nat Med (1998) 4:1434–7. doi:10.1038/4027
33. Pihlajamaki J, Karhapaa P, Vauhkonen I, Kekalainen P, Kareinen A, Viitanen L, et al. The Leu7Pro polymorphism of the neuropeptide Y gene regulates free fatty acid metabolism. Metabolism (2003) 52:643–6. doi:10.1053/meta.2003.50098
34. Kallio J, Pesonen U, Jaakkola U, Karvonen MK, Helenius H, Koulu M. Changes in diurnal sympathoadrenal balance and pituitary hormone secretion in subjects with Leu7Pro polymorphism in the prepro-neuropeptide Y. J Clin Endocrinol Metab (2003) 88:3278–83. doi:10.1210/jc.2002-021957
36. Gruppuso PA, Gorden P, Kahn CR, Cornblath M, Zeller WP, Schwartz R. Familial hyperproinsulinemia due to a proposed defect in conversion of proinsulin to insulin. N Engl J Med (1984) 311:629–34. doi:10.1056/NEJM198409063111003
37. Chan SJ, Seino S, Gruppuso PA, Schwartz R, Steiner DF. A mutation in the B chain coding region is associated with impaired proinsulin conversion in a family with hyperproinsulinemia. Proc Natl Acad Sci U S A (1987) 84:2194–7. doi:10.1073/pnas.84.8.2194
38. Salem RM, Cadman PE, Chen Y, Rao F, Wen G, Hamilton BA, et al. Chromogranin A polymorphisms are associated with hypertensive renal disease. J Am Soc Nephrol (2008) 19:600–14. doi:10.1681/ASN.2007070754
39. Rao F, Chiron S, Wei Z, Fung MM, Chen Y, Wen G, et al. Genetic variation within a metabolic motif in the chromogranin a promoter: pleiotropic influence on cardiometabolic risk traits in twins. Am J Hypertens (2012) 25:29–40. doi:10.1038/ajh.2011.163
40. Chen Y, Rao F, Rodriguez-Flores JL, Mahata M, Fung MM, Stridsberg M, et al. Naturally occurring human genetic variation in the 3’-untranslated region of the secretory protein chromogranin A is associated with autonomic blood pressure regulation and hypertension in a sex-dependent fashion. J Am Coll Cardiol (2008) 52:1468–81. doi:10.1016/j.jacc.2008.07.047
41. Wen G, Mahata SK, Cadman P, Mahata M, Ghosh S, Mahapatra NR, et al. Both rare and common polymorphisms contribute functional variation at CHGA a regulator of catecholamine physiology. Am J Hum Genet (2004) 74:197–207. doi:10.1086/381399
42. Rao F, Wen G, Gayen JR, Das M, Vaingankar SM, Rana BK, et al. Catecholamine release-inhibitory peptide catestatin (chromogranin A(352-372)): naturally occurring amino acid variant Gly364Ser causes profound changes in human autonomic activity and alters risk for hypertension. Circulation (2007) 115:2271–81. doi:10.1161/CIRCULATIONAHA.106.628859
43. Takahashi N, Ishihara R, Saito S, Maemo N, Aoyama N, Ji X, et al. Association between chromogranin A gene polymorphism and schizophrenia in the Japanese population. Schizophr Res (2006) 83:179–83. doi:10.1016/j.schres.2005.12.854
44. Landen M, Grenfeldt B, Davidsson P, Stridsberg M, Regland B, Gottfries CG, et al. Reduction of chromogranin A and B but not C in the cerebrospinal fluid in subjects with schizophrenia. Eur Neuropsychopharmacol (1999) 9:311–5. doi:10.1016/S0924-977X(98)00042-X
46. Iijima Y, Inada T, Ohtsuki T, Senoo H, Nakatani M, Arinami T. Association between chromogranin b gene polymorphisms and schizophrenia in the Japanese population. Biol Psychiatry (2004) 56:10–7. doi:10.1016/j.biopsych.2004.03.012
47. Zhang K, Rao F, Wang L, Rana BK, Ghosh S, Mahata M, et al. Common functional genetic variants in catecholamine storage vesicle protein promoter motifs interact to trigger systemic hypertension. J Am Coll Cardiol (2010) 55:1463–75. doi:10.1016/j.jacc.2009.11.064
48. Rao F, Zhang K, Khandrika S, Mahata M, Fung MM, Ziegler MG, et al. Isoprostane, an “intermediate phenotype” for oxidative stress heritability, risk trait associations, and the influence of chromogranin B polymorphism. J Am Coll Cardiol (2010) 56:1338–50. doi:10.1016/j.jacc.2010.03.092
49. Wen G, Wessel J, Zhou W, Ehret GB, Rao F, Stridsberg M, et al. An ancestral variant of secretogranin II confers regulation by PHOX2 transcription factors and association with hypertension. Hum Mol Genet (2007) 16:1752–64. doi:10.1093/hmg/ddm123
50. Hotta K, Kitamoto T, Kitamoto A, Mizusawa S, Matsuo T, Nakata Y, et al. Association of variations in the FTO SCG3 and MTMR9 genes with metabolic syndrome in a Japanese population. J Hum Genet (2011) 56:647–51. doi:10.1038/jhg.2011.74
51. Tanabe A, Yanagiya T, Iida A, Saito S, Sekine A, Takahashi A, et al. Functional single-nucleotide polymorphisms in the secretogranin III (SCG3) gene that form secretory granules with appetite-related neuropeptides are associated with obesity. J Clin Endocrinol Metab (2007) 92:1145–54. doi:10.1210/jc.2006-1808
52. O’Rahilly S, Gray H, Humphreys PJ, Krook A, Polonsky KS, White A, et al. Brief report: impaired processing of prohormones associated with abnormalities of glucose homeostasis and adrenal function. N Engl J Med (1995) 333:1386–90. doi:10.1056/NEJM199511233332104
53. Jackson RS, Creemers JW, Ohagi S, Raffin-Sanson ML, Sanders L, Montague CT, et al. Obesity and impaired prohormone processing associated with mutations in the human prohormone convertase 1 gene. Nat Genet (1997) 16:303–6. doi:10.1038/ng0797-303
55. Fricker LD, Snyder SH. Enkephalin convertase: purification and characterization of a specific enkephalin-synthesizing carboxypeptidase localized to adrenal chromaffin granules. Proc Natl Acad Sci U S A (1982) 79:3886–90. doi:10.1073/pnas.79.12.3886
56. Cawley NX, Rodriguez YM, Maldonado A, Loh YP. Trafficking of mutant carboxypeptidase E to secretory granules in a beta-cell line derived from Cpe(fat)/Cpe(fat) mice. Endocrinology (2003) 144:292–8. doi:10.1210/en.2002-220588
57. Lou H, Kim SK, Zaitsev E, Snell CR, Lu B, Loh YP. Sorting and activity-dependent secretion of BDNF require interaction of a specific motif with the sorting receptor carboxypeptidase e. Neuron (2005) 45:245–55. doi:10.1016/j.neuron.2004.12.037
58. Chen H, Jawahar S, Qian Y, Duong Q, Chan G, Parker A, et al. Missense polymorphism in the human carboxypeptidase E gene alters enzymatic activity. Hum Mutat (2001) 18:120–31. doi:10.1002/humu.1161
59. Naggert JK, Fricker LD, Varlamov O, Nishina PM, Rouille Y, Steiner DF, et al. Hyperproinsulinaemia in obese fat/fat mice associated with a carboxypeptidase E mutation which reduces enzyme activity. Nat Genet (1995) 10:135–42. doi:10.1038/ng0695-135
60. Rovere C, Viale A, Nahon J, Kitabgi P. Impaired processing of brain proneurotensin and promelanin-concentrating hormone in obese fat/fat mice. Endocrinology (1996) 137:2954–8. doi:10.1210/en.137.7.2954
61. Friis-Hansen L, Lacourse KA, Samuelson LC, Holst JJ. Attenuated processing of proglucagon and glucagon-like peptide-1 in carboxypeptidase E-deficient mice. J Endocrinol (2001) 169:595–602. doi:10.1677/joe.0.1690595
62. Taupenot L, Harper KL, and O’Connor DT. Role of H+-ATPase-mediated acidification in sorting and release of the regulated secretory protein chromogranin A: evidence for a vesiculogenic function. J Biol Chem (2005) 280:3885–97. doi:10.1074/jbc.M408197200
63. Wei Z, Biswas N, Wang L, Courel M, Zhang K, Soler-Jover A, et al. A common genetic variant in the 3’-UTR of vacuolar H+-ATPase ATP6V0A1 creates a micro-RNA motif to alter chromogranin A processing and hypertension risk. Circ Cardiovasc Genet (2011) 4:381–9. doi:10.1161/CIRCGENETICS.111.959767
64. Nilsson SK, Christensen S, Raarup MK, Ryan RO, Nielsen MS, Olivecrona G. Endocytosis of apolipoprotein A-V by members of the low density lipoprotein receptor and the VPS10p domain receptor families. J Biol Chem (2008) 283:25920–7. doi:10.1074/jbc.M802721200
65. Hu F, Padukkavidana T, Vaegter CB, Brady OA, Zheng Y, Mackenzie IR, et al. Sortilin-mediated endocytosis determines levels of the frontotemporal dementia protein, progranulin. Neuron (2010) 68:654–67. doi:10.1016/j.neuron.2010.09.034
66. Carrasquillo MM, Nicholson AM, Finch N, Gibbs JR, Baker M, Rutherford NJ, et al. Genome-wide screen identifies rs646776 near sortilin as a regulator of progranulin levels in human plasma. Am J Hum Genet (2010) 87:890–7. doi:10.1016/j.ajhg.2010.11.002
67. Linsel-Nitschke P, Heeren J, Aherrahrou Z, Bruse P, Gieger C, Illig T, et al. Genetic variation at chromosome 1p13.3 affects sortilin mRNA expression, cellular LDL-uptake and serum LDL levels which translates to the risk of coronary artery disease. Atherosclerosis (2010) 208:183–9. doi:10.1016/j.atherosclerosis.2009.06.034
68. Musunuru K, Strong A, Frank-Kamenetsky M, Lee NE, Ahfeldt T, Sachs KV, et al. From noncoding variant to phenotype via SORT1 at the 1p13 cholesterol locus. Nature (2010) 466:714–9. doi:10.1038/nature09266
Keywords: single nucleotide polymorphism (SNP), dense core granule (DCG), insulin, brain-derived neurotrophic factor (BDNF), chromogranin, neurotrophin, proopiomelanocortin (POMC), prohormone convertase
Citation: Lin W-J and Salton SR (2013) The regulated secretory pathway and human disease: insights from gene variants and single nucleotide polymorphisms. Front. Endocrinol. 4:96. doi: 10.3389/fendo.2013.00096
Received: 29 May 2013; Accepted: 23 July 2013;
Published online: 06 August 2013.
Edited by:Rafael Vazquez-Martinez, University of Cordoba, Spain
Reviewed by:Paolo Magni, Università degli Studi di Milano, Italy
T. Rajendra Kumar, University of Kansas Medical Center, USA
Copyright: © 2013 Lin and Salton. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Stephen R. Salton, Department of Neuroscience, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1065, New York, NY 10029, USA e-mail: email@example.com