Abstract
Veterans who have served in the military are at a nearly 60% greater risk of being diagnosed with amyotrophic lateral sclerosis (ALS). Literature reports suggest that a history of traumatic brain injury (TBI) may be a risk factor for ALS in veterans. However, no diagnostic biomarkers are available for identifying ALS risk/development in TBI-exposed veterans. Here, using a Wes assay, we show that ISGylation, a conjugated form of interferon-stimulated gene 15 protein, is significantly elevated in the lumbar spinal cords (SC-Ls) of TBI-ALS compared with ALS veterans without a previous history of TBI (nonTBI-ALS). Although not as striking as in TBI-ALS veterans, ISGylation is also increased in nonTBI-ALS compared with normal veterans. Notably, no changes in ISGylation were seen in occipital lobe samples obtained from the same patients, suggesting that elevated ISGylation is distinct to ALS disease-specific SC-Ls. Moreover, we detected increased ISGylation in cerebral spinal fluid samples of TBI-ALS veterans. Other results using cultured lymphocyte cell lines show a similar trend of increased ISGylation in ALS patients from the general population. Together, these data suggest that ISGylation could serve as a diagnostic biomarker for TBI-ALS veterans, nonTBI-ALS veterans, and nonveterans affected by ALS.
Keywords: Amyotrophic lateral sclerosis, Biomarker, ISG15, ISG15 conjugates, ISGylation, Traumatic brain injury, Veterans
INTRODUCTION
Amyotrophic lateral sclerosis (ALS), also known as Lou Gehrig’s disease, is a rare, incurable, and fatal neurodegenerative disease that affects upper motor neurons in the brain and lower motor neurons in the brainstem and spinal cord (1). Collectively, both upper and lower motor neurons control voluntary muscle movements of the body such as chewing, walking, breathing, and talking (1). Atrophy of these motor neurons, therefore, causes the muscles under their control to weaken, leading to the loss of all voluntary body functions, ultimately resulting in paralysis. ALS can affect individuals of any age, but it mostly affects late-/middle-aged individuals (45–55 years) and can be familial (hereditary) or sporadic (spontaneous due to environmental conditions). Approximately 5%–10% of ALS cases are familial, and 90% are sporadic, suggesting the contribution of environmental conditions as a predominant cause of ALS. Remarkably, research supported by the Department of Veterans Affairs and the Department of Defense has revealed that veterans who have served in the military are at a nearly 60% greater risk of being diagnosed with ALS than those with no history of military service (2). An independent study conducted by investigators at the Harvard University and Institute of Medicine supports these conclusions. However, what causes the disease in normal individuals and why the incidence of ALS is higher among veterans is not known. Literature reports suggest that a history of traumatic brain injury (TBI) may be a risk factor for ALS in veterans (3–5). However, a biochemical link between TBI and ALS is not known. Other reports demonstrating that interferon-stimulated gene 15 (ISG15), a protein of interest in our lab, is elevated in ALS patients (6) and in response to TBI in mice (7) suggests a plausible link between ISG15-TBI-ALS and led us to investigate ISGylation in TBI-exposed ALS veterans.
ISG15 is a ubiquitin-like protein that is minimally expressed in human normal cells and tissues. However, its gene and protein expressions are highly elevated in response to type I interferons (IFNs) in all cell lineages (8). ISG15 protein is synthesized from the ISG15 gene, and either remains in an intracellular free form, appended to proteins in cells (conjugated form), or secreted from cells (extracellular form) by an unknown mechanism (9). ISG15-specific enzymes E1 (UbE1L), E2 (UbcH8), and E3 (HERC5, EFP, and several others) are also IFN-stimulated proteins that conjugate intracellular free ISG15 to cellular proteins, a mechanism referred to as ISGylation (9). Empirical evidence from our lab has revealed that ISGylation predominantly antagonizes the canonical ubiquitin pathway in cancer (10) and ataxia telangiectasia (A-T) (11), a rare neurodegenerative disease. Since polyubiquitylation of cellular proteins is a prerequisite for protein turnover via the 26S proteasome, and ubiquitin-mediated protein turnover is crucial in maintaining cellular homeostasis, ISG15 proteinopathy (ISG15-mediated defective protein turnover) is proposed to be an underlying cause of malignancy (10, 12) and A-T neurodegeneration (11, 13) in human and mouse experimental disease models.
Like A-T, the IFN pathway is also aberrantly expressed in the spinal cords of affected mice in an ALS murine model (6). Free ISG15 is also elevated in the spinal cords of human ALS patients (6). However, whether ISGylation is elevated and induces proteinopathy in human ALS patients has not been investigated. Notably, ISG15 levels are increased in the brains of mice subjected to TBI (7). TBI due to blast explosions, motor vehicle accidents, and gunshot wounds during war is commonly seen in veterans. TBI damages neurons and ISG15 has been identified as a biomarker for neuronal injury (14). However, whether ISG15 and ISGylation are induced in TBI-exposed veterans diagnosed with ALS is not known, a gap in knowledge that initiated our current study. Using an automated and quantitative Wes assay (ProteinSimple, San Jose, CA), we show that ISGylation is significantly elevated in the lumbar spinal cords (SC-Ls), but not in the occipital lobes (OC-Ls), obtained from TBI-ALS compared with ALS veterans without a previous history of TBI (nonTBI-ALS). We also show that ISGylation is significantly elevated in lymphocyte cell lines (LCLs) generated from blood samples obtained from nonveteran ALS patients (n = 47) compared with normal LCLs (n = 44). On the basis of these observations, we propose that ISGylation may be a novel diagnostic biomarker for identifying ALS in TBI-exposed veterans. Moreover, since ISGylation is also elevated in ALS patients (veterans and nonveterans) compared with normal individuals, it may also be used as a biomarker for predicting ALS disease onset in general. Notably, our results that ISGylation is elevated in CSF samples of TBI-ALS veterans suggest that easily accessible CSF could be used to predict a risk for ALS in TBI-exposed veterans.
MATERIALS AND METHODS
Human SC-L and Occipital Lobe Tissues
De-identified SC-L, occipital tissues, and CSF samples from TBI-ALS, nonTBI-ALS, and normal veterans were provided by the Department of Veterans Affairs Biorepository (Boston, MA) VA Merit review BX002466 (Table 1). All tissues were obtained from male subjects except 1 female subject (#1 in Table 1). The RNA Integrity Number (RIN) values ranged from 5.7 to 6.2 for normal, 2.7 to 6.8 for nonTBI-ALS, and 4.7 to 7.5 for TBI-ALS samples, with median RINs of 5.9, 5.1, and 5.9, respectively. The postmortem interval (PMI) of autopsies ranged from 1.5 to 4.0 hours for normal, 1 to 8 hours for nonTBI-ALS, and 1 to 5 hours for TBI-ALS with median PMIs of 2.75 hours, 3.8 hours, and 2.3 hours, respectively. TBI and chronic traumatic encephalopathy (CTE) in subjects were determined as described in (15) (information provided by the VA Brain Bank). No patient contact was made; therefore, this study was exempt from the Institutional Review Board Committee at LSUHSC.
TABLE 1.
Tissues From Normal, TBI-ALS, and NonTBI ALS Veterans
| ID #s | Primary Neuropathological Diagnosis | TBI | CTE | Tissue Type | Age |
|---|---|---|---|---|---|
| 1 | Normal | OC-L, SC-L | 81 | ||
| 2 | Normal | OC-L | 62 | ||
| 3 | Normal | OC-L | 68 | ||
| 4 | Normal | OC-L, SC-L | Unknown | ||
| 5 | Normal | OC-L, SC-L | Unknown | ||
| 6 | Normal | OC-L, SC-L | Unknown | ||
| 7 | ALS | OC-L, SC-L | 73 | ||
| 8 | ALS | SC-L, OC-L | 71 | ||
| 9 | ALS | SC-L | 67 | ||
| 10 | ALS | OC-L, SC-L | 56 | ||
| 11 | ALS | OC-L, SC-L | 66 | ||
| 12 | ALS | OC-L, SC-L | 77 | ||
| 13 | ALS | OC-L, SC-L | 73 | ||
| 14 | ALS | OC-L, SC-L | 87 | ||
| 15 | ALS | OC-L, SC-L | 64 | ||
| 16 | ALS | OC-L, SC-L | 62 | ||
| 17 | ALS | OC-L, SC-L | 66 | ||
| 18 | ALS | OC-L, SC-L | 78 | ||
| 19 | ALS | OC-L, SC-L | 73 | ||
| 20 | ALS | + | OC-L, SC-L | 80 | |
| 21 | ALS | OC-L, SC-L | 76 | ||
| 22 | ALS | OC-L, SC-L | 76 | ||
| 23 | ALS | OC-L, SC-L | 74 | ||
| 24 | ALS | CSF | 60 | ||
| 25 | ALS | CSF | 62 | ||
| 26 | ALS | CSF | 76 | ||
| 27 | ALS | + | + | OC-L, SC-L | 63 |
| 28 | ALS | + | OC-L, SC-L, CSF | 88 | |
| 29 | ALS | + | OC-L, SC-L | 69 | |
| 30 | ALS | + | + | OC-L, SC-L | 41 |
| 31 | ALS | + | + | OC-L, SC-L | 80 |
| 32 | ALS | + | OC-L, SC-L, CSF | 57 | |
| 33 | ALS | + | + | OC-L, SC-L, CSF | 88 |
| 34 | ALS | + | + | OC-L, SC-L | 54 |
| 35 | ALS | + | OC-L, SC-L, CSF | 80 | |
| 36 | ALS | + | +* | OCL, SCL | 79 |
| 37 | ALS | + | OC-L, CSF | 53 | |
| 38 | ALS | + | OC-L | 73 | |
| 39 | ALS | + | + | OC-L, SC-L, CSF | 55 |
| 40 | ALS | + | OC-L | 75 |
Information made available with human tissues from The Veterans Affairs Biorepository Brain Bank (Boston, MA) is tabulated.
OC-L, occipital lobes; SC-L, lumbar spinal cords; TBI, traumatic brain injury; ALS, amyotrophic lateral sclerosis; CTE, chronic traumatic encephalopathy; CSF, cerebral spinal fluid.
CTE and FTLD-TDP: This case had both CTE and frontotemporal lobar degeneration with TDP-43 inclusions (FTLD-TDP).
Human LCLs
De-identified normal (n = 44) and ALS (n = 47) (harboring Chromosome 9 open reading frame 72 gene [C9orf72] mutation) LCLs were obtained from the Coriell Cell Repository for Medical Research (Camden, NJ). All cells were cultured in Roswell Park Memorial Institute Medium 1640 with 2 mM l-glutamine and 15% fetal bovine serum (without inactivation) and grown in a 37°C incubator with 5% CO2. Normal and ALS patient-derived LCLs were chosen randomly regardless of age, race, and sex (Table 2).
TABLE 2.
Lymphocyte Cell Lines From Normal Individuals and ALS Patients
| ALS Lymphocytes | |||||||
|---|---|---|---|---|---|---|---|
| ID# | Description | Age at Sampling | Sex | Race | Gene | Mutation | |
| 1 | ND07669 | ALS 1 | 42 years | Female | Caucasian | C9ORF72 | (GGGGCC)n expansion |
| 2 | ND08957 | ALS 1 | 48 years | Male | Caucasian | C9ORF72 | (GGGGCC)n expansion |
| 3 | ND09407 | ALS 1 | 57 years | Male | Caucasian | C9ORF72 | (GGGGCC)n expansion |
| 4 | ND09204 | ALS1 | 61 years | Female | Caucasian | C9ORF72 | (GGGGCC)n expansion |
| 5 | ND09373 | ALS1 | 57 years | Male | Caucasian | C9ORF72 | (GGGGCC)n expansion |
| 6 | ND08544 | undiagnosed | 61 years | Female | Caucasian | C9ORF72 | (GGGGCC)n expansion |
| 7 | ND07489 | ALS 1 | 68 years | Male | Caucasian | C9ORF72 | (GGGGCC)n expansion |
| 8 | ND09375 | ALS1 | 57 years | Female | Caucasian | C9ORF72 | (GGGGCC)n expansion |
| 9 | ND06751 | ALS1 | 52 years | Male | Caucasian | C9ORF72 | (GGGGCC)n expansion |
| 10 | ND08078 | ALS1 | 54 years | Male | Caucasian | C9ORF72 | (GGGGCC)n expansion |
| 11 | ND06769 | ALS 1 | 46 years | Female | Caucasian | C9ORF72 | (GGGGCC)n expansion |
| 12 | ND10000 | ALS1 | 51 years | Female | Caucasian | C9ORF72 | (GGGGCC)n expansion |
| 13 | ND10023 | ALS1 | 63 years | Male | Caucasian | C9ORF72 | (GGGGCC)n expansion |
| 14 | ND10101 | ALS1 | 62 years | Male | Caucasian | C9ORF72 | (GGGGCC)n expansion |
| 15 | ND10284 | ALS1 | 50 years | Male | Caucasian | C9ORF72 | (GGGGCC)n expansion |
| 16 | ND10808 | ALS1 | 57 years | Male | Caucasian | C9ORF72 | (GGGGCC)n expansion |
| 17 | ND11081 | ALS1 | 62 years | Female | Caucasian | C9ORF72 | (GGGGCC)n expansion |
| 18 | ND10973 | ALS1 | 64 years | Male | Caucasian | C9ORF72 | (GGGGCC)n expansion |
| 19 | ND11411 | ALS1 | 54 years | Male | Caucasian | C9ORF72 | (GGGGCC)n expansion |
| 20 | ND11494 | ALS1 | 59 years | Male | Caucasian | C9ORF72 | (GGGGCC)n expansion |
| 21 | ND11252 | ALS1 | 49 years | Male | Other | C9ORF72 | (GGGGCC)n expansion |
| 22 | ND11548 | ALS1 | 69 years | Male | Caucasian | C9ORF72 | (GGGGCC)n expansion |
| 23 | ND11917 | ALS1 | 70 years | Female | Caucasian | C9ORF72 | (GGGGCC)n expansion |
| 24 | ND12089 | ALS1 | 62 years | Female | Caucasian | C9ORF72 | (GGGGCC)n expansion |
| 25 | ND12099 | ALS1 | 49 years | Male | Caucasian | C9ORF72 | (GGGGCC)n expansion |
| 26 | ND12100 | ALS1 | 56 years | Male | Caucasian | C9ORF72 | (GGGGCC)n expansion |
| 27 | ND11933 | ALS1 | 48 years | Female | Caucasian | C9ORF72 | (GGGGCC)n expansion |
| 28 | ND11680 | ALS1 | 69 years | Female | Caucasian | C9ORF72 | (GGGGCC)n expansion |
| 29 | ND12161 | ALS1 | 55 years | Male | Caucasian | C9ORF72 | (GGGGCC)n expansion |
| 30 | ND12199 | ALS1 | 63 years | Female | Caucasian | C9ORF72 | (GGGGCC)n expansion |
| 31 | ND12200 | ALS1 | 69 years | Female | Other | C9ORF72 | (GGGGCC)n expansion |
| 32 | ND12277 | ALS1 | 48 years | Female | Caucasian | C9ORF72 | (GGGGCC)n expansion |
| 33 | ND12455 | ALS1 | 81 years | Male | Caucasian | C9ORF72 | (GGGGCC)n expansion |
| 34 | ND13939 | ALS1 | 49 years | Female | Caucasian | C9ORF72 | (GGGGCC)n expansion |
| 35 | ND13682 | ALS1 | 59 years | Male | Caucasian | C9ORF72 | (GGGGCC)n expansion |
| 36 | ND19454 | ALS1 | 80 years | Male | Caucasian | Unknown | Unknown |
| 37 | ND14186 | ALS1 | 65 years | Male | Caucasian | C9ORF72 | (GGGGCC)n expansion |
| 38 | ND14954 | ALS1 | 61 years | Male | Caucasian | C9ORF72 | (GGGGCC)n expansion |
| 39 | ND13944 | ALS1 | 49 years | Male | Caucasian | C9ORF72 | (GGGGCC)n expansion |
| 40 | ND13682 | ALS1 | 59 years | Male | Caucasian | C9ORF72 | (GGGGCC)n expansion |
| 41 | ND14339 | ALS1 | 75 years | Female | Caucasian | C9ORF72 | (GGGGCC)n expansion |
| 42 | ND13216 | ALS1 | 57 years | Female | Caucasian | C9ORF72 | (GGGGCC)n expansion |
| 43 | ND19454 | ALS1 | 80 years | Male | Caucasian | Unknown | Unknown |
| 44 | ND14186 | ALS1 | 65 years | Male | Caucasian | C9ORF72 | (GGGGCC)n expansion |
| 45 | ND14954 | ALS1 | 61 years | Male | Caucasian | C9ORF72 | (GGGGCC)n expansion |
| 46 | ND12754 | ALS1 | 70 years | Female | Caucasian | C9ORF72 | (GGGGCC)n expansion |
| 47 | ND10773 | ALS1 | 65 years | Male | Caucasian | C9ORF72 | (GGGGCC)n expansion |
| Normal Lymphocytes | |||||
|---|---|---|---|---|---|
| ID #s | Description | Age at Sampling | Sex | Race | |
| 1 | ND00700 | Population Control | 74 years | Female | Caucasian |
| 2 | ND00528 | Population Control | 75 years | Male | Caucasian |
| 3 | ND02405 | Population Control | 67 years | Female | Caucasian |
| 4 | ND03123 | Population Control | 68 years | Male | Caucasian |
| 5 | ND00940 | Population Control | 75 years | Male | Caucasian |
| 6 | ND01042 | Population Control | 71 years | Male | Caucasian |
| 7 | ND02645 | Population Control | 63 years | Female | Caucasian |
| 8 | ND03125 | Population Control | 74 years | Male | Caucasian |
| 9 | ND01693 | Population Control | 76 years | Female | Caucasian |
| 10 | ND02862 | Population Control | 75 years | Female | Caucasian |
| 11 | ND03628 | Population Control | 74 years | Male | Caucasian |
| 12 | ND03447 | Population Control | 84 years | Female | Caucasian |
| 13 | ND03661 | Population Control | 72 years | Female | Caucasian |
| 14 | ND03663 | Population Control | 73 years | Male | Caucasian |
| 15 | ND03627 | Population Control | 69 years | Male | Caucasian |
| 16 | ND04016 | Population Control | 65 years | Male | Caucasian |
| 17 | ND04017 | Population Control | 58 years | Male | Caucasian |
| 18 | ND04045 | Population Control | 64 years | Male | Caucasian |
| 19 | ND04240 | Population Control | 64 years | Female | Caucasian |
| 20 | ND04533 | Population Control | 72 years | Male | Caucasian |
| 21 | ND03970 | Population Control | 80 years | Male | Caucasian |
| 22 | ND05027 | Population Control | 61 years | Male | Caucasian |
| 23 | ND04531 | Population Control | 62 years | Male | Caucasian |
| 24 | ND04104 | Population Control | 69 years | Male | Caucasian |
| 25 | ND04903 | Population Control | 60 years | Female | Caucasian |
| 26 | ND05067 | Population Control | 55 years | Male | Caucasian |
| 27 | ND05283 | Population Control | 64 years | Male | Caucasian |
| 28 | ND05299 | Population Control | 58 years | Male | Caucasian |
| 29 | ND05369 | Population Control | 84 years | Male | Caucasian |
| 30 | ND05370 | Population Control | 55 years | Male | Caucasian |
| 31 | ND05372 | Population Control | 71 years | Female | Caucasian |
| 32 | ND05421 | Population Control | 59 years | Female | Caucasian |
| 33 | ND03836 | Population Control | 70 years | Female | Caucasian |
| 34 | ND03870 | Population Control | 64 years | Male | Caucasian |
| 35 | ND03746 | Population Control | 81 years | Female | Caucasian |
| 36 | ND03792 | Population Control | 57 years | Female | Caucasian |
| 37 | ND02864 | Population Control | 58 years | Female | Caucasian |
| 37 | ND03662 | Population Control | 78 years | Male | Caucasian |
| 39 | ND01519 | Population Control | 76 years | Male | Caucasian |
| 40 | ND03970 | Population Control | 80 years | Male | Caucasian |
| 41 | ND04276 | Population Control | 71 years | Male | Caucasian |
| 42 | ND04312 | Population Control | 55 years | Female | Caucasian |
| 43 | ND04586 | Population Control | 74 years | Female | Caucasian |
| 44 | ND05256 | Population Control | 66 years | Female | Caucasian |
Information made available on the Coriell website is tabulated.
Human ISG15 Antibodies
Polyclonal antibodies were raised against purified hISG15 protein from Boston Biochem (Cambridge, MA) using custom antibody services provided by Cocalico Biologicals, Inc. (Reamstown, PA).
ISG15 Immunodetection by the Wes Assay
Human Tissue
Western analysis of ISGylation was performed using the Wes system from ProteinSimple (San Jose, CA) and a 12–230 kDa Separation Module (ProteinSimple, PN: SM-W004-1) following the instruction manual provided by the manufacturer. With the Wes system, all protein loading, separation, immunoblotting, washing, detection, and quantitative analysis of data are automated. All proteins are separated in capillaries as they migrate through a stacking and separation matrix. The separated proteins are immobilized to the capillary wall via proprietary photoactivated capture chemistry. Target proteins are then identified with a primary antibody (in our case, an ISG15-specific antibody), and subsequent immunodetection is carried out using a horseradish peroxidase (HRP)-conjugated secondary antibody and chemiluminescent substrate (ProteinSimple reagents). Molecular weight and signal for immunodetected proteins are automatically recorded. Briefly, spinal cord tissues were lysed in 4% sodium dodecyl sulfate (SDS) lysis buffer (50 mM Tris-HCl, pH 7.5, 4% SDS) with phosphatase and protease inhibitors (10 mL per 1 mL of buffer), sonicated, and boiled for 10 minutes at 100°C. Lysates were clarified via centrifugation at 13 000 rpm for 2 minutes. Protein concentrations were determined by measuring absorbance at 280 nm using a Beckman Coulter Spectrophotometer and diluted to 0.01 μg/μl. Samples were then boiled for 10 minutes at 100°C before loading. Four parts of diluted samples were combined with 1 part of 5× Fluorescent Master Mix (containing 5× sample buffer, 5× fluorescent standard, and 200 mM DTT included in the ProteinSimple Standard Pack 1, PN: PS-ST01-8) and heated at 95°C for 5 minutes. The prepared samples, blocking reagent (antibody diluent), primary antibodies, HRP-conjugated secondary antibodies, and chemiluminescent substrate were dispensed into their designated wells on a Wes-25 size assay plate as suggested by the manufacturer. Antibodies used in the present study include anti-ISG15 primary (1:250 in Wes antibody buffer 2), antiβ-actin primary (1:500 in Wes antibody buffer 2) (Cambridge, MA) anti-ubiquitin primary (1:500 in Wes antibody buffer 2) (from Dr. Arthur Haas, LSUHSC, New Orleans, LA), and an HRP-conjugated rabbit and mouse secondary (ProteinSimple Detection Modules, PNs: DM-001 and DM-002, respectively). A biotinylated ladder included in the Standard Pack 1 provided molecular weight standards for the assay. The loaded plate was spun at 2500 rpm at room temperature for 5 minutes using an S6096 rotor in a Beckman Coulter Allegra X-30X centrifuge and then placed into the fully automated Wes machine along with an 8×25 capillary cartridge (included in the Separation Module). The company set Wes protocol was used and is as follows: Separation for 35 minutes at 375 V, antibody diluent for 5 minutes, primary antibody for 30 minutes, and secondary antibody for 30 minutes. After completion of the assay, automatic peak detection was assessed to determine if any manual corrections were needed for the standard peaks. Protein quantitation was performed using Compass Simple Western software.
CSF Samples
Four percent SDS lysis buffer (50 mM Tris-HCl, pH 7.5, 4% SDS) with phosphatase and protease inhibitors (10 mL per 1 mL of buffer) was added to the CSF samples, sonicated, and boiled for 10 minutes at 100°C. Lysates were clarified via centrifugation at 13 000 rpm for 2 minutes. Protein concentrations were determined by measuring absorbance at 280 nm using a Beckman Coulter Spectrophotometer and diluted to 0.01 μg/μl. Samples were boiled for 10 minutes at 100°C before loading, and immunodetection of ISG15 and ubiquitin conjugates was carried out using the Wes system as described above.
Lymphoblast Cells
Cells were lysed in 4% SDS lysis buffer (50 mM Tris-HCl, pH 7.5, 4% SDS), sonicated, and boiled for 10 minutes at 100°C. Lysates were clarified via centrifugation at 13 000 rpm for 2 minutes. Protein concentrations were determined by measuring absorbance at 280 nm using a Beckman Coulter Spectrophotometer, and proteins were adjusted to equal protein amounts. Immunodetection of ISG15 and β-actin was carried out using the Wes system as described above.
Statistical Analysis
Statistical analysis (unpaired t-test) was performed with GraphPad software. A p value < 0.05 was considered statistically significant.
RESULTS
Validation of Anti-ISG15 and Anti-ubiquitin Antibodies in the Wes Assay
ISG15, an anti-ubiquitin-cross reactive protein, is elevated in A-T cells (11, 16). To confirm that anti-ISG15 antibodies detect ISG15 and ISGylation, and not ubiquitin and ubiquitination, we assessed levels of free ISG15 and ISGylation in the cell lysates of A-T (overexpressing ISG15) and ISG15-silenced A-T cells (11) using the Wes as described in Materials and Methods. The same cell lysates containing equal protein were loaded in 2 sets and probed with anti-ISG15 (lanes 1 and 2) and anti-ubiquitin (lanes 3 and 4) antibodies. As presented in Figure 1, anti-ISG15 antibodies showed immunoreactivity with free ISG15 and ISGylation in ISG15 overexpressing A-T cells but not ISG15-silenced A-T cells in the Wes assay (Fig. 1, lanes 1 and 2). Alternatively, anti-ubiquitin antibody showed immunoreactivity with free ubiquitin and ubiquitin conjugates in both ISG15 overexpressing and ISG15-silenced A-T cells (lanes 3 and 4). ISG15 inhibits polyubiquitylation of cellular proteins. Consequently, the steady-state levels of polyubiquitylated proteins are decreased in ISG15 overexpressing A-T cells, while polyubiquitin levels are restored in ISG15-silenced A-T cells (10). Lower exposure of the Wes images confirmed these observations (right panel, compare lanes 3 and 4). These results thus validate the authenticity of anti-ISG15 and anti-ubiquitin antibodies to assess protein ISGylation and ubiquitination in the Wes assay.
FIGURE 1.
Validation of anti-ISG15 and anti-ubiquitin antibodies in the Wes assay. ISG15 (lanes 1 and 2) and ubiquitin (lanes 3 and 4) expression in A-T and ISG15-silenced A-T cell lysates were assessed on Wes using ISG15- and ubiquitin-specific antisera, respectively. High (left panel) and low (right panel) exposures of Wes image are shown. Double-headed arrow indicates a break in the original gel.
ISGylation Is Elevated in TBI-exposed ALS Veterans
Using anti-ISG15 antisera described above, we assessed ISGylation in SC-Ls obtained postmortem from TBI-ALS, nonTBI-ALS, and normal veterans using the Wes assay. As negative controls, we assessed ISGylation in OC-Ls (occipital brain tissues) obtained from the same TBI-ALS, nonTBI-ALS, and normal veterans. Several Wes blots were developed to assess ISGylation and free ISG15 in SC-L and OC-Ls described in Table 1. Representative blots generated by Wes are shown in Figure 2A (SC-Ls) and 2B (OC-Ls). Intensities of free ISG15, ISGylation (area under peaks spanning from 83 to 250 kDa comprising high molecular weight ISG15 conjugates), and β-actin were quantitated using Compass for Simple Western software. The box and whisker plot shows mean values of the ratio between ISGylation/β-actin (Fig. 2C, bars 4–6) and free ISG15/β-actin (Fig. 2D, bars 4–6). When normalized to β-actin, ISGylation levels were significantly increased in SC-Ls of TBI-ALS veterans (Fig. 2C, bar 6) compared with nonTBI-ALS (Fig. 2C, bar 5) (p = 0.0164) and normal veterans (Fig. 2C, bar 4) (ISGylation in normal veterans < nonTBI-ALS veterans < TBI-ALS veterans). Levels of free ISG15 were also elevated in SC-Ls of TBI-ALS compared with nonTBI-ALS and normal veterans (Fig. 2D, compare bars 5 and 6). However, the increase in free ISG15 levels was not as dramatic as ISGylation in TBI-ALS compared with nonTBI-ALS veterans and data did not reach statistical significance. In contrast to SC-Ls, ISGylation and free ISG15 remained the same in OC-Ls of all 3 groups (Fig. 2C, D, bars 1–3). These results suggest that ISGylation is predominantly increased in the SC-Ls of TBI-exposed ALS veterans, and data using OC-Ls suggest that elevated ISGylation is seen in ALS-disease-specific spinal cord tissues only. Furthermore, comparable RIN and PIM values (see Materials and Methods) suggest that elevated ISGylation is not due to differences in tissue integrity and PMI times.
FIGURE 2.
ISGylation is increased in the spinal cords of TBI-exposed ALS veterans. (A, B) ISGylation and free ISG15 levels in SC-Ls (A) and OC-Ls (B) were assessed using Wes (ProteinSimple) with ISG15-specific antisera as described in Materials and Methods. For loading controls, the same samples were probed using an antibody against β-actin. Data are shown in a gel view. (A) The first 3 lanes (control samples) were taken from a distinct Wes run and hence are shown separated from the remaining blot by a double-headed arrow. (C, D) Intensities of free ISG15, ISGylation (83–250 kDa region), and β-actin bands were quantitated using Compass for Simple Western software. The boxplot graphs show values of the ratio between ISGylatio/β-actin (C) and free ISG15/β-actin (D), measured from SC-Ls and OC-Ls. Error bars represent ± SEM.
We also assessed ISGylation in a few available CSF samples of TBI-ALS and nonTBI-ALS veterans. As shown in Figure 3, like SC-Ls, ISGylation levels (area under peaks spanning from 83 to 250 kDa) were increased in CSF samples of TBI-ALS veterans (left panel, lanes 4–9, and boxplot graph) compared with nonTBI-ALS (left panel, lanes 1–3, and boxplot graph). A previous study reported that ubiquitin levels reached a 4-fold increase in CSF samples in patients with TBI (17). Therefore, we probed the same set of samples with anti-ubiquitin antibodies (right panel). Similar to the literature report (17), CSF ubiquitin conjugates were increased 4-fold in TBI-ALS (right panel, lanes 4–9, and boxplot graph) compared with nonTBI ALS (right panel, lanes 1–3, and boxplot graph) veterans. These 2 independent studies (Fig. 3 and [17]) using distinct samples and showing a similar trend of increased ubiquitin in CSF samples from TBI-injured veterans warrants further investigation with a larger sample size of normal and patient-derived CSF samples to confirm these observations.
FIGURE 3.
ISGylation is increased in CSF samples of TBI-exposed ALS veterans. ISGylation levels in CSF samples were assessed using Wes with ISG15-specific antisera as described in Materials and Methods (left panel). The same CSF samples were loaded on the same cartridge and assessed with ubiquitin-specific antisera (right panel). Data are shown in a gel view. Double-headed arrow indicates a break in the original gel (a lane containing a misdiagnosed sample was removed from the original gel). ISGylated (left panel) and ubiquitinated (right panel) bands (83–250 kDa) were quantitated using Compass for Simple Western software and values are plotted in the boxplot graphs. Error bars represent ± SEM. See Table 1 for information on ID numbers.
Together, these results suggest that ISGylation and ubiquitination are increased in TBI-exposed ALS veterans, and could serve as a biomarker for TBI-ALS veterans.
ISGylation Is Elevated in ALS LCLs
In parallel, we assessed ISGylation in lymphocytes derived from normal (n = 44) and ALS patients with C9orf72 mutations (with C9orf72 repeat expansions) (n = 47; Table 2). A representative blot generated by the Wes machine is shown in Figure 4A. Intensities of free ISG15, ISGylation, and β-actin were quantitated as described above. The box and whisker plot shows the mean values of the ratio between free ISG15/β-actin (Fig. 4B) and ISGylation/β-actin (Fig. 4C). As shown in Figure 4B, ISGylation levels were significantly increased in lymphocytes obtained from ALS (p = 0.02) compared with normal individuals. No changes were noted in free ISG15 in ALS compared with normal lymphocytes.
FIGURE 4.
ISGylation is increased in lymphocyte cell lines (LCLs) derived from ALS patients. (A) Cell lysates were prepared and analyzed by Wes using an antihuman ISG15 antibody as described in Materials and Methods. For loading controls, the same samples were probed using an antibody against β-actin. (B, C) Intensities of free ISG15, ISGylation (83–250 kDa), and β-actin bands were quantitated as described in Figure 2. The boxplot graphs show values of the ratio between free ISG15/β-actin (B) and ISGylation/β-actin (C), measured from LCLs derived from ALS patients and normal individuals. Error bars represent ± SEM.
Together, our results highlight the importance of ISGylation as a diagnostic biomarker for identifying ALS in TBI-exposed veterans. Since ISGylation is also elevated in nonTBI-ALS veterans and nonveteran ALS patients compared with normal individuals, it may also be used as a biomarker for predicting ALS disease onset in general. Furthermore, our results that ISGylation is increased in CSF and LCLs suggest that CSF- and LCL-ISGylation can serve as a surrogate biomarker for ISGylation in the spinal cords of TBI-ALS veterans, nonTBI-ALS veterans, and nonveteran ALS patients.
DISCUSSION
Mounting evidence suggests that veterans who have served in the military are at a nearly 60% greater risk of being diagnosed with ALS than those with no history of military service (2). However, the cause of disease in normal individuals, and why the incidence of ALS is higher among veterans, is not known. Literature reports suggest that a history of TBI may be a risk factor for ALS in veterans (3–5). Unfortunately, the causal biochemical link between TBI and ALS remains unclear, rendering the development of effective treatments a difficult task. Moreover, with no effective diagnostic biomarkers available for predicting ALS in TBI-exposed veterans, therapies are less likely to be implemented in the early stages of its development when they are expected to have their most significant impact. Hence, both identification of diagnostic biomarker(s) that can predict the risk of ALS in TBI-exposed veterans and knowledge of the biochemical mechanism underlying the high incidence of ALS in these veterans are urgently needed. Since ISG15 is elevated in human ALS patients and mice (6), and in response to TBI exposure in mice, we speculated that TBI-mediated induction of ISGylation, an antagonist of the ubiquitin pathway (10, 11), induces proteinopathy, and consequently ALS, in TBI-exposed veterans. The current study was initiated to test whether ISGylation is indeed induced in TBI-exposed veterans diagnosed with ALS.
We chose to use a Wes system for assessing ISGylation, as this technique allowed us to detect and quantitate both free ISG15 and ISGylation (ISG15 conjugates) in the same cell lysates, which is not possible using other techniques like dot-blotting, immunohistostaining, or gene expression analyses. Moreover, unlike traditional Western blotting analysis, in the Wes system, all steps of Western blotting, including protein loading, separation, immunoblotting, washing, detection and quantitative analysis of data are automated. Thus, manual factors that can negatively impact reproducibility, quantitation, time to result, and overall reliability of the generated data are eliminated. Using the Wes system, our results have revealed that ISGylation is significantly elevated in TBI-exposed veterans diagnosed with ALS compared with veterans with no previous history of TBI but diagnosed with ALS and normal veterans (no apparent disease conditions). We do not know why ISGylation is elevated in response to TBI, and how ISGylation is elevated in the spinal cord and lymphocytes of ALS and TBI-exposed ALS veterans. However, literature reports indicate that TBI induces the expression of microRNA155 (miR155), which in turn induces Type 1 IFN, a primary regulator of ISG15 and its conjugating enzymes (18). Moreover, miR155 is upregulated in the spinal cords of end-stage ALS model (SOD1G93A) mice (19). It is possible that IFN secreted by brains in response to TBI travel through CSF and blood, inducing ISGylation in spinal cords and lymphocytes, respectively. Studies are underway to test this hypothesis in our laboratory.
CTE is a neurodegenerative disease associated with repetitive mild TBI as well as potentially subconcussive impacts that typically occur in the context of contact sports (20), but may also occur during military service (15). CTE is diagnosed neuropathologically by the accumulation of hyperphosphorylated and aggregated tau in neurons, astrocytes, cell processes around small vessels and the depths of the cerebral sulci. In the current study, we have demonstrated that ISGylation is increased in SCLs obtained from ALS-TBI veterans compared with ALS veterans. Notably, 7 of 10 ALS-TBI veterans and 1 of 17 ALS veterans whose SCLs were analyzed for ISGylation in the current study showed evidence of CTE. However, due to the small sample size (TBI [n = 3] vs TBI-CTE [n = 7]), we do not know if the increase in ISGylation would be predictive of CTE in ALS veterans. Further studies with a larger sample size are needed to confirm if increased ISGylation is associated with CTE in TBI-exposed ALS veterans. In the current study, we have also demonstrated that ISGylation is increased in lymphocytes derived from ALS patients harboring C9orf72 mutations compared with normal subjects. Mutations in C9orf72 are the most commonly known genetic cause of ALS and are seen in ∼40% of patients with a family history and ∼10% of those without (21). Other than C9orf72, mutations in genes encoding copper-zinc superoxide dismutase (SOD1), transactive response DNA-binding protein 43 (TDP-43), and fused in sarcoma (FUS) account for >50% of the familial ALS cases (21). Whether ISGylation is elevated in lymphocytes/SC-Ls obtained from patients harboring these other mutations, is not known. In the current study, we also report that ubiquitin conjugates are increased in the CSF samples of TBI-ALS compared with nonTBI-ALS veterans. These results, although not statistically significant (most likely due to low sample size), agree with the previous literature report wherein authors have reported that ubiquitin levels are increased in CSF of TBI-exposed patients (17). Thus, our study and this independent literature study using distinct patient samples highlights the importance of ubiquitin/ISG15 conjugates as a biomarker for TBI-exposed civilians and veterans. The reason underlying increased ubiquitin (and ISG15) in CSF is not clear. However, neuronal cell damage has been suggested as an underlying cause of increased ubiquitin levels upon TBI in patients (17). Our findings of increased ubiquitin/ISG15 protein conjugate levels strongly suggest this possibility. In summary, in the current study we have demonstrated that ISGylation levels are higher in SC-Ls and CSFs of TBI-exposed ALS and nonTBI-ALS compared with normal veterans. Moreover, ISGylation levels are elevated in LCLs of ALS patients compared with normal patients. Together, these results suggest that ISGylation may be a potential diagnostic biomarker for predicting TBI (and possibly CTE) in ALS veterans and nonveteran ALS patients. Notably, TBI-induced CTE is common in athletes/football players (20). Moreover, ISG15 has been identified as a biomarker for neuronal injury (14), and neuronal injury is common to all neurodegenerative diseases. Other studies from our laboratory have revealed that ISGylation is also increased in ataxia telangiectasia, Parkinson, and Alzheimer neurodegenerative diseases. Thus, it appears that elevated ISGylation is a common trait of neurodegenerative diseases. However, the reliability of using ISGylation as a biomarker for diagnosing neurological disorders and TBI/CTE in football players requires further study.
Western-based diagnostic tests are currently licensed for use in veterinary and human clinical practices (22), rendering the Wes assay to measure ISGylation in fresh lymphocytes, and perhaps patient-derived CSF, a feasible approach. It is important to note that ISGylation is also elevated in most cancer and pathogen-infected cells. Therefore, this ISGylation test should be used in conjunction with physical phenotypes and patient medical history for accurate clinical diagnosis of ALS. Another blood-based biomarker test, the Alpha-Fetoprotein (AFP) test, utilizes this comprehensive approach since, like ISGylation, AFP is elevated in both cancer and recessive ataxias (e.g. ataxia telangiectasia). Admittedly, to translate the current data into a clinical biomarker, determination of factors such as a cutoff point for maximal sensitivity/specificity, and the rates of false negativity/positivity using large sample size, is required. The current study will form a foundation of such a larger biomarker study. Nevertheless, at present, no clinical tests are available that can assess the risk of ALS in TBI-exposed veterans, thereby making this biomarker study a novel one.
Footnotes
The authors have no duality or conflicts of interest to declare.
LIFT2 and NIH/NINDS R21NS060960 grants support this work.
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