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. Author manuscript; available in PMC: 2025 May 14.
Published in final edited form as: J Neurol Neuromedicine. 2020 Sep 22;5(3):45–54. doi: 10.29245/2572.942x/2020/3.1275

Shared Human Leukocyte Antigen (HLA) Coverage in dementia and Parkinson’s disease

Lisa M James 1,2,3, Apostolos P Georgopoulos 1,2,3,4,*
PMCID: PMC12077135  NIHMSID: NIHMS2079205  PMID: 40371005

Abstract

Dementia and Parkinson’s disease are the two most common age-related neurodegenerative conditions. Recent studies have identified Human Leukocyte Antigen (HLA) Class II DRB1 alleles that are protective or neutral with respect to dementia. Here we extend those findings to evaluate the association of the population frequency of HLA DRB1 alleles with the prevalence of dementia and Parkinson’s disease in14 Continental Western European countries. Nine HLA DRB1 alleles were identified including four that are protective against dementia (DRB1*01:01, DRB1*04:01, DRB1*13:02, DRB1*15:01), three that are neutral (DRB1*03:01, DRB1*07:01, DRB1*08:01), and two susceptibility alleles (DRB1*11:01, DRB1*04:05). Results demonstrated that the population prevalence’s of dementia and Parkinson’s disease are highly correlated and that the association between the nine DRB1 alleles above and the population prevalence of dementia is highly overlapping with that of Parkinson’s disease. These findings suggest a common HLA Class II DRB1 profile. Given the diverse role of HLA Class II alleles in protection from foreign antigens, autoimmunity, and, possibly, neuroprotection, the shared HLA profile between dementia and Parkinson’s disease indicates that common immunogenetic mechanisms underlie the pathogenesis and manifestation of these diseases.

Keywords: Dementia, Parkinson’s Disease, Human Leukocyte Antigen, Immunity, Genetics

Introduction

Dementia and Parkinson’s disease are the most common age-related neurodegenerative conditions, together affecting an estimated 50 million people worldwide according to recent epidemiological studies1,2. Dementia refers to conditions reflecting a decline in cognitive, behavioral, motor, and/or social functioning; Alzheimer’s disease is the most common type, accounting for up to 80% of dementia cases3. AD is characterized primarily by impairments in memory and executive functioning although effects on mood, personality, and motor symptoms are also common. Parkinson’s disease is characterized primarily by motor symptoms including bradykinesia, rigidity, and tremor, yet non-motor symptoms including cognitive and mood disruptions are common, particularly as the disease progresses4. A large percentage of patients with Parkinson’s Disease eventually develop dementia5. In light of the overlap in symptoms and the substantial and increasing global burden of these conditions1,2, research aimed at identifying putative risk and protective factors are of paramount importance to mitigate the significant impacts of these condition on global health.

Although the etiology of dementia and Parkinson’s disease is unknown, various genetic and environmental risk and protective factors have been identified. For dementia, risk factors include possession of apolipoprotein E4 allele, health conditions such as cardiovascular disease and Type II diabetes, modifiable lifestyle factors such as poor diet and sedentary lifestyle, and exposure to infectious agents6,7. For Parkinson’s disease, variations in genes associated with alpha-synuclein and other proteins have been implicated8, and environmental risk factors include exposure to pollutants, pesticides, and infectious agents, dairy consumption, and β2- adrenoreceptor agonists (2,9,10,11). With regard to protection, adherence to plant-based diet as well as physical, social, and intellectual activities have been shown to protect against dementia6; environmental factors that protect against Parkinson’s disease include smoking, caffeine and tea intake, physical activity, vitamin E intake, gout, non-steroidal anti-inflammatory drugs and β2- adrenoreceptor agonists10. In terms of genetic protection, studies have demonstrated that apolipoprotein E2 protects against dementia12,13 and may protect against Parkinson’s disease-related dementia 14,15. Moving beyond apolipoprotein E, recent studies have also demonstrated robust genetic protection against dementia conferred by specific Class II human leukocyte antigen (HLA) alleles16,17. The extent to which those HLA alleles protect against Parkinson’s disease is unknown.

HLA genes code for cell-surface glycoproteins that are instrumental in immune response to foreign antigens such as viruses and bacteria. Class I HLA proteins present intracellular foreign antigen peptides to cytotoxic T cells to signal cell destruction. Class II HLA proteins present peptides to CD4 receptors to promote antibody production and elimination of foreign antigens. However, HLA genes, which are the most highly polymorphic in the human genome, differ in their ability to bind with foreign antigens and mount an immune response. In the absence of sufficient binding affinity and/or immunogenicity, antigenic peptides may persist. We have speculated that persistent antigens lead to neuronal damage and inflammation, and may contribute to dementia and other neuroimmune conditions1820.

Using a publicly available repository21 containing HLA data pooled from histocompatibility laboratories and published studies, coupled with dementia prevalence obtained from the Global Burden of Disease studies1 we have examined associations between HLA and dementia prevalence in 14 countries in Continental Western Europe where dementia prevalence is among the highest in the world. We demonstrated that three specific Class II HLA DRB1 alleles – DRB1*01:01, DRB1*13:02, and DRB1*15:01 - are highly protective against dementia, even after accounting for apolipoprotein E417. Moreover, the combined population frequency of the three alleles accounted for 67% of the variance in dementia prevalence and 48% of the change in dementia prevalence in those countries over the last 25 years. Given the role of Class II HLA in antibody production and host protection against re-exposure to foreign antigens, the finding that dementia prevalence is lower in countries with higher frequency of these alleles suggests that lower dementia rates may be partially attributable to protection against pathogens that bind with these alleles. In fact, a subsequent in silico study revealed that these three dementia alleles were found to bind with significantly higher affinity to herpes virus antigens than were three HLA alleles that are dementia-neutral - DRB1*03:01, DRB1*07:01, DRB1*08:0122. In the present study, we extend those findings to investigate the association of the population frequency21 of HLA -DRB1 dementia-protective, dementia-neutral alleles to Parkinson’s disease population prevalence2.

Methods

CWE countries.

As in our previous studies16,17 we focused on the following 14 CWE countries: Austria, Belgium, Denmark, Finland, France, Germany, Greece, Italy, Netherlands, Portugal, Norway, Spain, Sweden, and Switzerland.

Prevalence of dementia and Parkinson’s disease.

The Global Burden of Disease study is the most comprehensive epidemiological study of worldwide morbidity and mortality associated with several conditions including dementia1 and Parkinson’s disease2. The total number of people with dementia or Parkinson’s disease in each of the 14 CWE countries was retained for analyses in the present study. The Population Reference Bureau23 provides vital demographic data for over 200 countries based on several sources including official national data or analyses conducted by national, regional, or worldwide (e.g. United Nations Population Division) offices. The prevalences of dementia and Parkinson’s disease were computed by dividing the number of people with dementia1 or Parkinson’s disease2 in 2016 in each country by the total population of the country in 201623 and expressed as a percentage. These data are shown in Table 1. We have previously shown that life expectancy for these countries are virtually identical3 (Table 1); therefore, life expectancy was not included in the current analyses.

Table 1.

Dementia prevalence for Countries in Continental Western Europe. Overall Dementia Prevalence = (N Disease x 100) / (N total population)

Country N Dementiaa N Parkinson’s Diseaseb N total populationc Dementia Prevalence (%) Parkinson’s Disease Prevalence (%) Average life expectancyc
Austria 126914 15891 8800000 1.442 0.1806 81.5
Belgium 181350 20862 11300000 1.605 0.1846 81.5
Denmark 55336 9068 5700000 0.971 0.1591 80.5
Finland 83950 10258 5500000 1.526 0.1865 81.5
France 877760 120455 64600000 1.359 0.1865 82.0
Germany 1201668 162246 82600000 1.455 0.1964 80.5
Greece 192563 22837 10800000 1.783 0.2115 81.0
Italy 1370308 144606 60600000 2.261 0.2386 82.5
Netherlands 192425 33297 17000000 1.132 0.1959 81.5
Norway 67207 7517 5200000 1.292 0.1446 82.0
Portugal 166660 18496 10300000 1.618 0.1796 80.0
Spain 830915 92971 43300000 1.919 0.2147 82.5
Sweden 142735 19776 9900000 1.442 0.1998 82.0
Switzerland 115476 14979 8400000 1.375 0.1783 83.0
a

Data obtained from ref1.

b

Data obtained from ref2.

c

Data obtained from refpop’n bureau.

HLA alleles.

In our previous studies we identified three HLA Class II alleles protective for dementia17 (DRB1*01:01, DRB1*13:02, DRB1*15:01) and three alleles that are neutral for dementia21 (DRB1*03:01, DRB1*07:01, DRB1*08:01); in addition, we now identified an allele protective for dementia (DRB1*04:01; Allele Frequency Net Database, http://www.allelefrequencies.net21). To obtain allele frequencies, the Allele Frequency Net Database was queried to provide the 4-digit HLA allele frequency for each country with no further restrictions by region, ethnicity, source of study, or other qualifiers. For countries in which were available for more than one population we obtained the average frequency. The frequencies of these seven alleles for each country are given in Table 2.

Table 2.

Frequencies of 9 HLA Class II alleles for countries in Continental Western Europe used in this study.a N/A, not available.

Country DRB1*01:01 DRB1*03:01 DRB1*04:01 DRB1*04:05 DRB1*07:01 DRB1*08:01 DRB1*11:01 DRB1*13:02 DRB1*15:01
Austria 0.102 .118 0.068 N/A .134 .015 .090 0.062 0.115
Belgium 0.086 .157 0.061 .015 .111 .030 .071 0.035 0.123
Denmark 0.130 .102 0.176 .000 N/A .028 .009 0.056 0.176
Finland 0.107 .079 0.119 N/A .035 .078 .023 0.025 0.104
France 0.082 .120 0.101 .013 .114 .024 .076 0.047 0.109
Germany 0.092 .103 0.079 .011 .114 .027 .072 0.043 0.144
Greece 0.060 .085 0.011 .013 .076 .011 .101 0.033 0.045
Italy 0.060 .152 0.022 .039 .103 .022 .135 0.038 0.055
Netherlands 0.088 .139 0.094 .003 .094 .023 .060 0.062 0.131
Norway 0.080 .140 0.140 .000 .120 .040 .040 0.050 0.170
Portugal 0.047 .114 0.039 .024 .158 .038 .057 0.036 0.069
Spain 0.057 .109 0.030 .018 .192 .024 .058 0.033 0.140
Sweden 0.085 .078 0.082 .004 .031 .131 .083 0.038 0.111
Switzerland 0.078 N/A N/A N/A N/A N/A .076 0.053 0.109
a.

Obtained from allelefrequencies.net October 19, 2019.

Statistical analyses.

Regression and correlation analyses were used to evaluate the association between the population frequency of each the seven HLA alleles above (Table 2), alone and combined, and the prevalence of dementia and Parkinson’s disease in Continental Western Europe. Previous analyses16,17 had documented an exponential relation between dementia prevalence and allele frequency; hence, the prevalences of dementia and Parkinson’s disease were natural-log transformed to analyze their relation to allele frequency using linear regression. Pairwise Pearson correlation coefficients were compared by calculating the normal deviate z-statistic24. Regression coefficients were compared, as needed, using the following formula25:

z=b1b2SEb12+SEb22 (1)

where Z is the normal deviate, b1 and b2 denote regression coefficients to be compared, and SE are their standard errors. Finally, correlation coefficients r were Fisher z-transformed24 r to normalize their distribution:

r=atanh(r) (2)

All statistical analyses were conducted using the IBM-SPSS statistical package (version 23).

Results

Association of dementia and Parkinson’s disease prevalences

The prevalences of dementia and Parkinson’s disease were highly significantly correlated (Figure 1; r=0.787, P=0.000843, N=14).

Figure 1.

Figure 1.

Dementia prevalence in 14 CWE countries is plotted against the prevalence of Parkinson’s disease. See text for details.

Protective HLA alleles

Association between dementia and Parkinson’s disease prevalences and the frequencies of four protective HLA alleles

The values of log-transformed dementia and Parkinson’s disease prevalences are plotted against the frequencies of the four protective (negatively associated) alleles in Figure. 2 and 3, respectively. The corresponding correlation coefficients are given in Table 3. There were no statistically different differences between any of the dementia- and Parkinson’s disease correlations (Table 3).

Figure 2.

Figure 2.

Illustration of the different effects of each protective allele on the natural log of dementia prevalence as evidenced by the varying steepness of the slopes.

Figure 3.

Figure 3.

Illustration of the different effects of each protective allele on the natural log of Parkinson’s disease prevalence as evidenced by the varying steepness of the slopes.

Table 3.

Correlation statistics between disease prevalences and allele frequencies analyzed. P-values are in parentheses. Blue, protective alleles; black, neutral; red, predisposing.

Alleles Correlation Coefficients Comparison of Correlations
ln(Dementia prevalence) ln(Parkinson’s disease prevalence)
HLA Profile for Dementia HLA Profile for Parkinson’s Test statistic z P value N
1 DRB1*01:01 −0.727 (P=0.003) −0.480 (0.082) 0.937 0.174 14
2 DRB1*04:01 −0.857 (0.00018) −0.778 (0.002) 0.570 0.284 13
3 DRB1*13:02 −0.674 (0.008) −0.428 (0.127) 0.846 0.199 14
4 DRB1*15:01 −0.686 (0.007) −0.640 (0.014) 0.193 0.424 14
5 DRB1*03:01 0.102 (0.739) −0.057 (0.854) 0.356 0.361 13
6 DRB1*07:01 0.212 (0.509) −0.073 (0.821) 0.612 0.270 12
7 DRB1*08:01 −0.086 (0.780) −0.046 (0.882) 0.090 0.464 13
8 DRB1*11:01 0.670 (0.009) 0.705 (0.005) 0.156 0.438 14
9 DRB1*04:05 0.854
(0.001)
0.676
(0.022)
0.898 0.185 11

Association of dementia and Parkinson’s disease prevalences with the combined frequencies of the four protective alleles

The log-transformed prevalence of dementia is plotted against the sum of the frequencies of four protective alleles in Figure 4:

f[4protective alleles]=fDRB101:01+fDRB104:01+fDRB113:02+fDRB115:01 (3)
Figure 4.

Figure 4.

The natural log of dementia prevalence is plotted against the sum of the frequencies of the four protective alleles (DRB1*01:01, DRB1*04:01, DRB1*13:02, DRB1*15:01). See text for details.

The regression equation was as follows

ln(dementia prevalence, %)=0.9631.766(± 0.301)f[4protective alleles]+error (4)

r2=0.758, P=0.001; value in parenthesis is the SE of the regression coefficient.

The log-transformed prevalence of Parkinson’s disease (PD) is plotted against the sum of the frequencies four protective alleles in Figure 5. The regression equation was as follows.

Figure 5.

Figure 5.

The natural log of Parkinson’s disease prevalence is plotted against the sum of the frequencies of the four protective alleles (DRB1*01:01, DRB1*04:01, DRB1*13:02, DRB1*15:01). See text for details.

ln(PD prevalence, %)=1.3850.876(± 0.241)f[4protective alleles]+error (5)

r2=0.546, P=0.004; value in parenthesis is the SE of the regression coefficient.

The f[4protective alleles] regression coefficient for dementia (1.766, equation 3) was 2x more negative (i.e. twice as protective) for dementia than that for Parkinson’s disease (-0.876, equation 4), a highly significant difference (z=5.36, P<0.001, test of equation 1).

Neutral alleles

Association between dementia and Parkinson’s disease prevalences and the frequencies of three neutral HLA alleles

The values of log-transformed dementia and Parkinson’s disease prevalences are plotted against the frequencies of the three neutral (not significantly associated) alleles in Figure. 6 and 7, respectively. The corresponding correlation coefficients are given in Table 3. There were no statistically different differences between any of the dementia- and Parkinson’s disease correlations (Table 3).

Figure 6.

Figure 6.

The natural log of dementia prevalence is plotted against the frequency of the three neutral alleles; there is no significant association. See text for details.

Figure 7.

Figure 7.

The natural log of Parkinson’s disease prevalence is plotted against the frequency of the three neutral alleles; there is no significant association. See text for details.

Association of dementia and Parkinson’s disease prevalences with the combined frequencies of the three neutral alleles

The log-transformed prevalence of dementia is plotted against the sum of the frequencies of the three neutral alleles in Figure 8:

f[3neutral alleles]=fDRB103:01+fDRB107:01+fDRB108:01 (6)
Figure 8.

Figure 8.

The natural log of dementia prevalence is plotted against the sum of the frequencies of the three neutral (DRB1*03:01, DRB1*07:01, DRB1*08:01); there is no significant association. See text for details.

The regression equation was as follows.

ln(dementia prevalence, %)=0.4460.41(± 1.239)f[3neutral alleles]+error (7)

r2=0.0001, P=0.974; value in parenthesis is the SE of the regression coefficient. There was no statistically significant association.

The log-transformed prevalence of Parkinson’s disease is plotted against the sum of the frequencies four protective alleles in Figure 9. The regression equation was as follows.

Figure 9.

Figure 9.

The natural log of Parkinson’s disease prevalence is plotted against the sum of the frequencies of the three neutral (DRB1*03:01, DRB1*07:01, DRB1*08:01); there is no significant association. See text for details.

ln(Parkinson's disease prevalence, %)=1.50.571(± 0.799)f[3neutral alleles]+error (8)

r2 = 0.049, P = 0.491; value in parenthesis is the SE of the regression coefficient. There was no statistically significant association.

Predisposing HLA alleles

Association between dementia and Parkinson’s disease prevalences and the frequencies of two predisposing HLA alleles

The values of log-transformed dementia and Parkinson’s disease prevalences are plotted against the frequencies of the two predisposing alleles in Figure. 10 and 11, respectively. The corresponding correlation coefficients are given in Table 3. There were no statistically different differences between any of the dementia- and Parkinson’s disease correlations (Table 3).

Figure 10.

Figure 10.

Illustration of the different effects of each predisposing allele on the natural log of dementia prevalence as evidenced by the varying steepness of the slopes.

Figure 11.

Figure 11.

Illustration of the different effects of each predisposing allele on the natural log of Parkinson’s disease prevalence as evidenced by the varying steepness of the slopes.

Association of dementia and Parkinson’s disease prevalences with the combined frequencies of the three neutral alleles

The log-transformed prevalence of dementia is plotted against the sum of the frequencies of the three neutral alleles in Figure 12:

f[2predisposing alleles]=fDRB104:05+fDRB111:01 (9)
Figure 12.

Figure 12.

The natural log of dementia prevalence is plotted against the sum of the frequencies of the two predisposing alleles (DRB1*04:05, DRB1*11:01). See text for details.

The regression equation was as follows.

ln(dementia prevalence, %)=0.005+4.939(± 1.002)f[2predisposing alleles]+error (10)

r2=0.729, P=0.001; value in parenthesis is the SE of the regression coefficient.

The log-transformed prevalence of Parkinson’s disease is plotted against the sum of the frequencies four protective alleles in Figure 13. The regression equation was as follows.

Figure 13.

Figure 13.

The natural log of Parkinson’s disease prevalence is plotted against the sum of the frequencies of the two predisposing alleles (DRB1*04:05, DRB1*11:01). See text for details.

ln(Parkinson's disease prevalence, %)=1.888+2.789(± 0.626)f[3neutral alleles]+error (11)

r2=0.688, P=0.002; value in parenthesis is the SE of the regression coefficient.

HLA profile of a disease

A given disease may have varying associations with different HLA alleles. In the context of populations, this relation would be captured by the correlation between disease prevalence and allele frequency, since both of these measures typically vary across population samples (e.g. countries, ethnicities, etc.): this variation provides the requisite variety that makes disease-HLA associations possible. Let pik=1,M be the prevalence of disease i in a sample population K (out of M available); let fj=1,Nk=1,M be the frequency of a HLA allele j (out of N available) in that population. We call the vector of z-transformed correlations r between the prevalence of the disease i in M populations and the frequency of N alleles in the same populations the “HLA profile of disease i. In the present study, the HLA profiles of dementia and Parkinson’s disease, for the 9 HLA alleles studied, are shown in Table 4. Specifically, M=14 CWE countries, N=9 HLA alleles.

Table 4.

HLA profiles for dementia and Parkinson’s disease. Numbers are Fisher z-transformed correlation coefficients r. (See text for details.)

HLA Profile for Dementia HLA Profile for Parkinson’s
DRB1*01:01 −.0922 −0.523
DRB1*03:01 −1.286 −1.043
DRB1*04:01 −0.818 −0.457
DRB1*07:01 −0.840 −0.758
DRB1*08:01 0.102 −0.057
DRB1*13:02 0.215 −0.073
DRB1*15:01 −0.102 −0.129
DRB1*11:01 0.877 0.811
DRB1*04:05 0.822 1.271

Association between HLA disease profiles

The pairwise association between HLA disease profiles provides a quantitative estimate of the similarity of dependence of disease prevalence to an ensemble of HLA alleles. Since HLA alleles can be involved in pathogen elimination (positive aspect) and/or autoimmunity (negative aspect), determining the similarity between HLA disease profiles would provide an overall assessment of the similarity of involvement of such factors in the specific diseases in a pair. Since the HLA profile consists of z-transformed correlations, the Pearson correlation between two HLA disease profiles would give a quantitative assessment of the association, including its statistical significance and the percent of HLA profile variance explained. In this study, there was a highly positive association between the dementia and Parkinson’s HLA disease profiles (Figure 14); the correlation coefficient was 0.965 (P=0.000026; r2=0.931) and the percent of variance explained r2×100=93.1%.

Figure 14.

Figure 14.

The HLA profile of Parkinson’s disease is plotted against the HLA profile of dementia; data from Table 4. Blue, protective alleles; black, neutral alleles; red, predisposing alleles.

Discussion

Here we investigated the association of the population frequency of seven HLA Class II DRB1 alleles with respect to the prevalence of dementia and Parkinson’s disease in 14 countries in Continental Western Europe. Several findings emerged. First, the population prevalence of dementia and Parkinson’s disease were positively and highly significantly associated. Second, the average frequency of protective HLA alleles accounted for substantial variance in the population prevalence of dementia and, to a lesser extent, Parkinson’s disease. Finally, the associations of disease prevalence and the HLA alleles were highly similar for dementia and Parkinson’s disease. Taken together, these findings point to a common HLA profile, suggesting shared immunogenetic mechanisms (protective, neutral, and predisposing) underlying these diseases.

HLA Class II alleles, to which the DRB1 alleles investigated here belong, play a critical role in facilitating antibody production and immunological memory to foreign antigens. In light of that role, the highly protective effects of the four DRB1 alleles identified here can be interpreted as likely promoting pathogen elimination that may otherwise contribute to disease susceptibility. That is, those lacking immunogenetic protection conferred by possession of one or more of these DRB1 alleles (or other HLA alleles with similar sequences and, consequently, similar binding affinity) may be unable to sufficiently eliminate certain pathogens, leading to deleterious downstream effects that may include dementia and/or Parkinson’s disease. Indeed, several viral and bacterial pathogens have been implicated in both dementia7 and Parkinson’s disease9,11, many of which overlap across conditions consistent with the highly overlapping HLA profile observed here. In particular, human herpes viruses have been implicated in both conditions2629, which is notable in light of a recent in silico study that demonstrated superior binding affinity of three of the HLA studies investigated here to human herpes viruses when compared to dementia-neutral HLA alleles22. Additional studies are currently underway to identify other antigens that bind with these protective HLA alleles and that, conversely, may be associated with dementia and/or Parkinson’s disease in the absence of HLA protection. Finally, with respect to predisposing HLA Class II alleles, such as those identified in this study, it is very likely that they are involved in autoimmunity mechanisms in both Alzheimer’s and Parkinson disease, as discussed recently30.

Although the current findings identified protective effects of four HLA DRB1 alleles, they neither preclude the possibility that other Class I or Class II HLA alleles may confer similar protection or predisposition nor that the HLA alleles shown to protect against dementia and Parkinson’s disease may promote risk for other conditions. For instance, DRB1*04:01, one of the alleles shown to protect against dementia and Parkinson’s disease in the current study, is associated with elevated risk of Type I diabetes31 and rheumatoid arthritis32. Similarly, DRB1*15:01 is a well-established risk factor for multiple sclerosis33, yet is protective against dementia and Parkinson’s disease at the population level. Research in our laboratory is underway to examine associations of other Class I and Class II HLA alleles with dementia, Parkinson’s disease, and other related conditions.

Acknowledgments

Partial funding for this study was provided by the University of Minnesota (the Anita Kunin Chair in Women’s Healthy Brain Aging, the Brain and Genomics Fund, the McKnight Presidential Chair of Cognitive Neuroscience, and the American Legion Brain Sciences Chair). The sponsors had no role in the current study design, analysis or interpretation, or in the writing of this paper. The contents do not represent the views of the U.S. Department of Veterans Affairs or the United States Government.

Footnotes

Conflicts of Interest: 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.

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