Abstract
Objective: To assess the association between ibuprofen use and the systemic inflammatory biomarkers C-reactive protein (CRP) and interleukin-6 (IL-6) in chronic Spinal Cord Injury (SCI).
Study design: Prospective cohort study.
Setting: Community dwelling individuals with SCI.
Participants: 338 (278 male, 60 female) community dwelling individuals with chronic SCI (≥1-year post-injury).
Interventions: None.
Main outcome measures: CRP and IL-6 levels were quantified by ultra-sensitive ELISA assay. General linear models were used to assess associations between various clinical and demographic factors and CRP and IL-6 levels.
Results: There were 50 active ibuprofen users and 288 non-users. After adjusting for clinical and demographic factors, ibuprofen users had significantly lower CRP levels (2.3 mg/L versus 3.5 mg/L, P = 0.04) and IL-6 levels (3.2 pg/ml versus 4.0 pg/ml, P = 0.04) compared to nonusers.
Conclusions: Our study suggests that self-reported ibuprofen use may be negatively associated with CRP and IL-6 levels in chronic SCI after adjusting for known confounding factors, and suggests ibuprofen use may be an important, potential variable to consider in future studies focused on systemic inflammation in SCI. Future prospective studies require assessing frequency, duration, and dosage-dependent effects of ibuprofen on systemic markers of inflammation in chronic SCI. These findings may support future clinical trials to determine safety and efficacy of ibuprofen treatment for various outcomes in chronic SCI.
Keywords: C-reactive protein, Interleukin-6, Non-steroidal anti-inflammatory drugs, Inflammation, Spinal cord injury
Introduction
Spinal cord injury (SCI) is associated with an ensuing chronic, pro-inflammatory state.1,2 Inflammation after SCI is not self-limiting, and persistent inflammation may contribute to secondary injury both in the central nervous system (CNS) and systemically.1,3 Elevated levels of markers of systemic inflammation, including C-reactive protein (CRP) and Interleukin 6 (IL-6), have been demonstrated following SCI.4–7 A growing body of evidence suggests an inflammatory state contributes to poor outcomes in SCI including increased risk of cardiovascular disease, reduced pulmonary capacity, and immune system dysfunction.1,4,8–11
The mechanism for this pro-inflammatory state is likely multifactorial including dysfunction of the autonomic nervous system, hypothalamic-pituitary-axis, and metabolic disorder associated with SCI.1 Within the general population, changes in CRP and/or IL-6 levels are noted with sex, age, race, BMI, and comorbid conditions including heart disease and smoking tobacco.12–17 Additionally, various clinical contributors including asymptomatic bacteriuria, urinary tract infections (UTI), skin pressure injury, vitamin D levels, and mobility status are associated with elevated CRP and/or IL-6 levels specifically in SCI.4,5,11,18–21
Nonsteroidal anti-inflammatory drugs (NSAIDs) reduce inflammation and produce analgesic effects by suppression of prostaglandins classically via the cyclo-oxygenase (COX) enzyme pathway.22,23 Recently, novel targets have been identified with NSAID therapy which may modulate inflammation and demonstrate neuroprotective targets in animal models.24,25 In one human study NSAIDs reduced CRP and IL-6 levels following aneurysmal subarachnoid hemorrhages (SAH).26 However, there are no reports on the effect of NSAID use on systemic inflammation after SCI in humans. In our previous work, we have demonstrated an association between markers of systemic inflammation and pulmonary function. We have also identified factors associated with CRP or IL-6 levels, including ambulatory status, BMI, urinary catheter use, and pressure injury.8,9,11 However, we have not previously considered the impact of anti-inflammatory drug use on these associations. Thus, the focus of the current study was to assess the association between NSAID use and the systemic inflammatory markers CRP and IL-6, after adjusting for potential confounding factors in men and women with chronic SCI.
Materials and methods
Participants
We studied 338 men and women with chronic SCI enrolled in the Fracture Risk after SCI (FRASCI) observational cohort study. Details regarding eligibility for this study have been previously reported.27,28 Briefly, inclusion criteria included age 22 years or more and chronic SCI (≥1 year after injury). Exclusion criteria included concomitant neuromuscular disease, tracheostomy, or ventilator-dependent SCI. 348 participants were enrolled and completed testing between August 2009 and December 2014. 10 participants were excluded from the analysis due to missing data (body composition, n = 5 or biomarker results, n = 5) (Fig. 1). All participants provided informed consent and the study was approved by our Institutional Review Board.
Instruments
Participants completed a questionnaire regarding demographics, medical history, medication use, mobility mode, health habits, current infections/illness, and comorbidities as previously described.29 At the time of study entry, participants were asked to report history of Ibuprofen, Advil®, or Motrin® use. If they were actively using one of these medications, duration of use in years was reported. Participants who reported a history of use that was not active at the time of testing were asked to report how long ago (in years) they discontinued use. Ibuprofen users were defined as those actively taking the drug at the time of testing. Nonusers were defined as those never taking the drug or previously taking it but stopping prior to testing. Injury severity was confirmed based on the American Spinal Injury Association Impairment Scale (AIS) and then considered in the following 2 categories: motor complete (AIS A/B) or motor incomplete (AIS C or D). Smoking was defined as smoking 20 or more packs of cigarettes or using 336 g (12 oz) of tobacco or more in a lifetime or smoking 1 or more cigarettes a day for at least 1 year. Current smokers reported cigarette use within one month of testing. Smoking status was considered dichotomously (current smoker versus never/past smoker) and smoking exposure was considered continuously. Primary mode of mobility was considered more than 50% of the time use of a wheelchair or walked with or without assistance. Mobility was considered dichotomously (wheelchair users versus walkers) as in our previous studies.11,27,28,30 Participants were weighed and length measured in supine for the calculation of body mass index (BMI). In participants with severe joint contractures, length was self-reported (n = 31).
Biochemical analysis
Subjects were asked to undergo testing in a fasting state and efforts were made to collect samples in the morning before a meal. For subject safety, individuals were advised to have a light meal or snack if fasting could worsen a medical condition (orthostatic hypotension). In all cases, information was collected on time since last meal or snack. Plasma samples were drawn into an EDTA tube and stored at −80°C until batch analysis. All biochemical analyses were performed at the Clinical & Epidemiologic Research Laboratory, Department of Laboratory Medicine at Children’s Hospital in Boston, a state-of-the-art reference laboratory that specializes in micro-analysis. High-sensitivity CRP was determined by using a high-sensitivity immunoturbidimetric assay with a sensitivity of .03 mg/L. The day-to-day variability of the assay at concentrations of 0.91, 3.07, and 13.38 mg/L are 2.81, 1.61, and 1.1%, respectively. Interleukin-6 (IL-6) was determined by ultra-sensitive ELISA (R & D Systems, Minneapolis, MN) with a sensitivity of 0.094 pg/ml and day-to-day variability of 9.6, 7.2 and 6.5% at concentrations of 0.49, 2.78 and 5.65 pg/mL, respectively. The assay is linear up to 100 ng/ml, and sensitive to 1 ng/ml. Day-to-day precision (%CV) at various levels of 25OHD ranged from 5.6% to 8.5%. All assays were performed in duplicate and any duplicate with >10% CV was repeated.
Data analysis
All analyses were performed using SAS 9.4 (SAS Institute, Inc., Cary, NC). Neither CRP nor IL-6 were normally distributed and therefore we log transformed each to normalize the distribution of the outcomes. We initially used T-tests or χ2 tests to compare subject characteristics as appropriate. General linear models (PROC GLM) were applied to assess associations between various factors and CRP or IL-6 levels. Separate models were constructed for CRP or IL-6. We considered factors that had previously been shown to be associated with either CRP or IL-6 levels, including sex,31 age,12 race,31 vitamin D level,20,21 BMI,4 comorbid conditions,13,14,16 active statin or aspirin medication use,15 ambulatory status,11 smoking status,17 and active infections (urinary tract infections and skin pressure injuries).11 For multivariable models, factors with a P value of <0.10 in the univariate models were included in the multivariable models assessing the association between ibuprofen use and CRP or IL-6 levels (PROC GLM). We used backward stepwise elimination of variables which no longer were significant where CRP or IL-6 were considered in separate models as the dependent variables.
Results
Participant characteristics
Demographic information is presented in Table 1. The average age was 54.3 ± 14.3 (SD) years (ranges from 22.8 to 87.6 years) and the average injury duration was 17.4 ± 13.3 years (ranges from 1.0 to 61.1 years). Most were male in sex (82%) and white in ethnicity (87%). 63% of participants used a wheelchair as their primary mode of mobility and 47% had a motor complete injury. The mean BMI was 27.3 ± 6.1 kg/m2. 17% of participants were active tobacco smokers, 14% reported diabetes, 37% reported hypertension, and 11% reported a history of heart disease. 11% reported a skin pressure injury and 7% reported an UTI at time of testing. 44% of all participants had a CRP level ≥3 mg/L. Among active ibuprofen users the majority reported ibuprofen use for >1 year (90%). Ibuprofen users had significantly lower mean CRP (3.9 mg/L vs 7.9 mg/L) and IL-6 levels (2.6 mg/L vs 3.9 mg/L) than nonusers (P < 0.01). There were no other significant differences in clinical or demographic characteristics based on ibuprofen use.
Table 1. FRASCI-inflammation cohort participant characteristics.
Variable | Ibuprofen use (n = 50) | No ibuprofen (n = 288) | Total cohort (n = 338) | P |
---|---|---|---|---|
Demographics | ||||
Age (years) [Mean ± SD] | 53.9 ± 12.3 | 54.4 ± 14.6 | 54.3 ± 14.3 | 0.85 |
Males, n(%) | 44 (88.0) | 234 (81.3) | 278 (82.3) | 0.25 |
White, n(%) | 41 (82.0) | 252 (87.5) | 293 (86.7) | 0.29 |
Years post injury [Mean ± SD] | 16.9 ± 12.2 | 17.5 ± 13.5 | 17.4 ± 13.3 | 0.75 |
Wheelchair users, n (%) | 28 (56.0) | 186 (64.6) | 214 (63.3) | 0.25 |
Injury completeness | ||||
Motor complete | ||||
A/B, n(%) | 22 (44.0) | 136 (47.2) | 158 (46.8) | 0.67 |
Motor incomplete | ||||
C, n(%) | 2 (4.0) | 34 (11.8) | 36 (10.6) | |
D, n(%) | 26 (52.0) | 118 (41.0) | 144 (42.6) | |
Body composition | ||||
BMI (kg/m2) [Mean ± SD] | 28.5 ± 6.3 | 27.1 ± 6.1 | 27.3 ± 6.1 | 0.15 |
Health habits | ||||
Current smoker, n(%) | 9 (18.0) | 49 (17.0) | 58 (17.2) | 0.86 |
Cigarette exposure (pack-years) [Mean ± SD] | 22.9 ± 31.4 | 27.1 ± 28.6 | 26.5 ± 29.0 | 0.47b |
Hypertension, n(%) | 21 (42.0) | 103 (35.8) | 124 (36.7) | 0.40 |
Heart disease, n(%) | 2 (4.0) | 36 (12.5) | 38 (11.2) | 0.08 |
Diabetes, n(%) | 7 (14.0) | 40 (13.9) | 47 (13.9) | 0.98 |
Current skin pressure injury, n(%) | 3 (6.0) | 35 (12.2) | 38 (11.2) | 0.20 |
Current UTI, n(%) | 2 (4.0) | 23 (6.8) | 25 (7.4) | 0.56 |
Biomarkers | ||||
CRP (mg/L) [Mean ± SD] | 3.9 ± 5.3 | 7.9 ± 16.8 | 7.3 ± 15.7 | 0.001a |
CRP ≥ 3 (mg/L), n% | 17 (34.0) | 133 (46.2) | 150 (44.4) | 0.11 |
IL-6 (pg/mL) [Mean ± SD] | 2.6 ± 2.0 | 3.9 ± 5.0 | 3.7 ± 4.7 | 0.0008 |
aObservations available for n = 337; bAmong n = 200 ever smokers.
Clinical factors associated with inflammatory biomarkers
Time since last meal or snack was not significantly associated with either CRP or IL-6 (P = 0.95 and P = 0.89, respectively). CRP levels were positively associated with BMI, were lower in ibuprofen users, white individuals compared to other races, walkers compared to wheelchair users, motor incomplete SCI compared to motor complete SCI, and greater in individuals with current skin pressure injury and UTI (Table 2(a)). In multivariable models adjusting for these factors (Table 3(a)), CRP levels were no longer significantly associated with current UTI (P = 0.43). CRP levels increased 1.1 mg/L for every unit increase in BMI, were greater in wheelchair users, lower in white individuals compared to others, and greater in participants with current skin pressure injury. When adjusting for these factors, active ibuprofen users had significantly lower CRP levels than non-user (2.3 mg/L vs. 3.5 mg/L P = 0.04). Results were similar when considering motor completeness instead of walking status in this model.
Table 2. (a) Univariate factors associated with natural log CRP.
Continuous variables | β | eβ | P |
---|---|---|---|
Age (years) | –0.0002 | 0.99 | 0.97 |
Years post injury | –0.002 | 0.99 | 0.74 |
BMI (kg/m2) | 0.071 | 1.07 | <0.0001 |
25OH Vitamin D (ng/ml) | –0.007 | 0.99 | 0.28 |
Cigarette exposure (pack-years) | 0.004 | 1.00 | 0.23a |
Categorical variables | Mean ln CRP | e(ln CRP) (mg/L) | P |
Sex | |||
Male | 0.991 | 2.693 | 0.36 |
Female | 0.807 | 2.241 | |
Race | |||
White | 0.897 | 2.452 | 0.04 |
Other | 1.353 | 3.869 | |
Walking status | |||
Wheelchair user | 1.226 | 3.407 | <0.0001 |
Walk with or without aid | 0.499 | 1.647 | |
Injury completeness | |||
Motor complete | 1.204 | 3.333 | 0.003 |
Motor incomplete | 0.744 | 2.104 | |
Current smoker | |||
Yes | 1.082 | 2.951 | 0.47 |
No | 0.933 | 2.542 | |
Hypertension | |||
Yes | 1.046 | 2.846 | 0.39 |
No | 0.907 | 2.476 | |
Heart disease | |||
Yes | 1.176 | 3.241 | 0.32 |
No | 0.931 | 2.537 | |
Diabetes | |||
Yes | 0.989 | 2.688 | 0.87 |
No | 0.953 | 2.593 | |
Current skin pressure injury | |||
Yes | 1.682 | 5.376 | 0.0008 |
No | 0.867 | 2.379 | |
Current UTI | |||
Yes | 1.596 | 4.933 | 0.02 |
No | 0.907 | 2.476 | |
Ibuprofen use | |||
Yes | 0.648 | 1.911 | 0.09 |
No | 1.012 | 2.751 | |
Statin use | |||
Yes | 0.799 | 2.223 | 0.16 |
No | 1.032 | 2.806 | |
Aspirin use | |||
Yes | 1.058 | 2.880 | 0.46 |
No |
0.927 |
2.526 |
|
aAmong n = 200 ever smokers. | |||
β – standardized coefficients. |
Table 2 (b) Univariate factors associated with natural log IL-6. | |||
---|---|---|---|
Continuous variable | β | eβ | P |
Age (years) | 0.013 | 1.01 | <0.0001 |
Years post injury | 0.004 | 1.00 | 0.30 |
BMI (kg/m2) | 0.053 | 1.05 | <0.0001 |
25OH Vitamin D (ng/ml) | −0.005 | 0.99 | 0.25 |
Cigarette exposure (pack-years) | 0.002 | 1.00 | 0.31a |
Categorical variables | Mean ln CRP | e(ln CRP) (mg/L) | P |
Sex | |||
Male | 0.925 | 2.521 | 0.16 |
Female | 0.751 | 2.119 | |
Race | |||
White | 0.888 | 2.430 | 0.73 |
Other | 0.937 | 2.552 | |
Walking status | |||
Wheelchair user | 0.972 | 2.643 | 0.03 |
Walk with or without aid | 0.761 | 2.140 | |
Injury completeness | |||
Motor complete | 0.921 | 2.511 | 0.60 |
Motor incomplete | 0.871 | 2.389 | |
Current smoker | |||
Yes | 1.117 | 3.056 | 0.03 |
No | 0.848 | 2.335 | |
Hypertension | |||
Yes | 1.045 | 2.843 | 0.02 |
No | 0.807 | 2.241 | |
Heart disease | |||
Yes | 1.248 | 3.483 | 0.008 |
No | 0.849 | 2.337 | |
Diabetes | |||
Yes | 1.292 | 3.640 | 0.0007 |
No | 0.829 | 2.291 | |
Current skin pressure injury | |||
Yes | 1.457 | 4.293 | <0.0001 |
No | 0.823 | 2.277 | |
Current UTI | |||
Yes | 1.257 | 3.514 | 0.03 |
No | 0.865 | 2.375 | |
Ibuprofen use | |||
Yes | 0.684 | 1.981 | 0.07 |
No | 0.930 | 2.534 | |
Statin use | |||
Yes | 1.040 | 2.829 | 0.04 |
No | 0.828 | 2.288 | |
Aspirin use | |||
Yes | 1.176 | 3.241 | 0.0007 |
No | 0.803 | 2.232 |
Aamong n = 200 ever smokers.
β – standardized coefficients.
Table 3. (a) Multivariable factors associated with natural log CRP.
ln CRP, <0.0001 r2 = 0.22 | |||
---|---|---|---|
Continuous variable | β | eβ | P |
BMI (kg/m2) | 0.081 | 1.084 | <0.0001 |
Categorical variable | Mean ln CRP | e(ln CRP) (mg/L) | P |
Walking status | |||
Wheelchair user | 1.454 | 4.280 | <0.0001 |
Walk with or without aid | 0.645 | 1.905 | |
Race | |||
White | 0.851 | 2.341 | 0.05 |
Other | 1.248 | 3.483 | |
Current skin pressure injury | |||
Yes | 1.296 | 3.654 | 0.02 |
No | 0.803 | 2.232 | |
Ibuprofen use | |||
Yes | 0.852 | 2.344 | 0.04 |
No |
1.247 |
3.479 |
|
β – standardized coefficient. |
Table 3 (b) Multivariable factors associated with natural log IL-6. | |||
---|---|---|---|
ln IL-6, <0.0001 r2 = 0.32 | |||
Continuous variable | β | eβ | P |
Age (years) | 0.013 | 1.013 | <0.0001 |
BMI (kg/m2) | 0.058 | 1.059 | <0.0001 |
Categorical variable | Mean ln IL-6 | e(ln IL-6) (pg/mL) | P |
Walking status | |||
Wheelchair user | 1.478 | 4.384 | <0.0001 |
Walk with or without aid | 1.050 | 2.857 | |
Current smoker | |||
Yes | 1.504 | 4.499 | <0.0001 |
No | 1.024 | 2.784 | |
Heart disease | |||
Yes | 1.430 | 4.178 | 0.01 |
No | 1.099 | 3.001 | |
Current skin pressure injury | |||
Yes | 1.548 | 4.702 | <0.0001 |
No | 0.981 | 2.667 | |
Ibuprofen use | |||
Yes | 1.153 | 3.167 | 0.04 |
No | 1.376 | 3.959 |
β – standardized coefficient.
In univariate analyses IL-6 levels were positively associated with age, BMI, were greater in wheelchair users compared to walkers, current smokers, history of hypertension, heart disease, diabetes, current skin pressure injury, current UTI, active statin use, active aspirin use, and lower in active ibuprofen users (Table 2(b)). In multivariable models adjusting for these factors (Table 3(b)), IL-6 levels were no longer significantly associated with history of hypertension, diabetes, current UTI, statin use, or aspirin use (P = 0.19–0.78). IL-6 levels increased 1.01 pg/ml for every year increase in age. IL-6 levels increased 1.059 pg/ml for every unit increase in BMI. IL-6 levels were greater in wheelchair users, current smokers, participants with heart disease, and participants with active skin pressure injuries. After adjusting for these factors, active ibuprofen users had significantly lower IL-6 levels than non-users (3.2 pg/ml versus 4.0 pg/ml, P = 0.04). Results were similar when considering motor completeness instead of walking status in this model.
Discussion
We examined circulating markers of systemic inflammation (CRP and IL-6) in the setting of active ibuprofen use in 338 community dwelling men and women with chronic SCI. IL-6 and CRP levels both increased with BMI and were higher in wheelchair users compared to walkers and those with active skin pressure injuries. IL-6 was additionally increased with age, history of heart disease, and active smokers, while CRP was also decreased in white individuals compared to other races. When adjusting for these factors, active ibuprofen use was significantly associated with lower levels of both CRP and IL-6. These associations were independent of active infection, skin pressure injury, comorbidities, or other previously reported factors associated with CRP or IL-6 levels in SCI.5,6,9,11
In this study we identified several factors associated with both CRP and IL-6. These findings are consistent with previous findings that IL-6 regulates CRP production. CRP belongs to a group of serum proteins described as acute phase reactants, mostly produced by hepatocytes, that are activated by noxious stimuli such as infection or tissue injury. Specifically, CRP and serum amyloid A are the two most potently activated acute phase reactants in humans.32 CRP exponentially rises after noxious stimuli and is a clinically useful marker for monitoring the course of diseases, infections, and chronic inflammation.33 IL-6 is a cytokine released from surrounding endothelial cells, fibroblasts, and leukocytes as part of the local reaction to a noxious stimulus. IL-6 is one of many cytokines that activates the systemic reaction including acute phase reactants, and has been demonstrated in transgenic mouse and human hepatocyte cell line models to be necessary for the expression of CRP.32,34,35 IL-6 is also produced by myocytes and adipocytes and has been demonstrated to regulate systemic metabolism, bone homeostasis, as well as to modulate pain responses.36,37
To our knowledge, this is the first report that active ibuprofen use is associated with significantly lower levels of systemic inflammatory biomarkers in chronic SCI. Our findings are consistent with a previous study demonstrating that ibuprofen use was associated with lower CRP or IL-6 levels in 138 patients with SAH.26 This has potential clinical relevance given that elevated IL-6 levels were associated with a four-fold increase in risk of unfavorable outcomes measured by the Glasgow coma scale after SAH.38 In SCI chronic systemic inflammation is thought to be multifactorial and previously conceptualized as a consequence of reduced mobility, body composition changes, and frequency of infections.11,39 Many studies have established the relationship of chronic inflammation and several detrimental health and functional outcomes including immune system dysfunction, reduction in pulmonary function, and increased chronic neuropathic pain specifically in the SCI population.1,9,39 Similarly, in the general population, elevated CRP levels are associated with increased cardiovascular risk with CRP >3 mg/L defined as high risk.13,40 CRP levels were a better predictor of cardiovascular events than cholesterol levels or known risk factors alone in a large prospective trial in women in the general population.13 This is of interest as SCI is associated with increased cardiovascular disease compared to the general population.41 Our study demonstrated an overall mean CRP of 7.3 ± 15.7 mg/L, more than double the high-risk category cut-point. Interestingly, the active ibuprofen users had lower CRP levels, although the mean was still greater than >3 mg/L threshold of the high-risk category.
There is emerging consensus that inflammation contributes to negative health and functional outcomes in both the general population and after neurotrauma. It remains unknown if therapeutic approaches to reduce inflammation improve outcomes. Statin medications reportedly reduce systemic inflammation independent of their effect on cholesterol. Rosuvastatin treatment significantly reduced major cardiac events in healthy men and women with elevated CRP but without hyperlipidemia 15. In animal models of SCI, statins have previously been associated with improvements in motor recovery and reduced markers of inflammation, including IL-6.42 While NSAIDs are also known to reduce inflammation, there is controversy regarding their impact on both cardiovascular health and overall safety profile.43,44 The long-term effect of chronic NSAID use on cardiovascular health has not been studied in the SCI population.
NSAIDs classically modulate inflammation by suppression of prostaglandin production via the COX enzyme pathway.45 NSAIDs regulate inflammation via additional pathways including acting as proliferator-activated receptor gamma (PPARγ) agonists and modulation of NFkB and its downstream targets.22,23,46 Another pathway of particular interest that has been associated with reduced neuroinflammation is the inhibition of GTPase Rho by NSAIDS.25,47 Preclinical research has demonstrated activation of Rho GTPase as a converging pathway which leads to inhibition of axonal regeneration in central nervous system injuries.48,49 A meta-analysis of animal models of SCI have additionally demonstrated treatment with ibuprofen or indomethacin to have overall improvements in motor scores, and Rho inhibitors are targets of multiple clinical trials for improvements in motor recovery after SCI.25,50 It is possible, therefore, that NSAID use may be neuroprotective in SCI and other forms of neurotrauma.
Limitations
This study has several limitations to consider. Our participants were community dwelling individuals with injury duration of 1 year or more. Therefore, it does not address the potential associations between ibuprofen use and inflammatory markers in the acute setting of SCI. Our participants race was 85% white. This is not representative of the current (2015–2020) U.S. population of those living with SCI with 58.9% being non-Hispanic White.51 This affects the generalizability of the study. Primary mode of mobility was considered more than 50% of the time. Our “majority” dichotomous mobility definition cannot assess an individual living with a SCI’s physical activity, independence, and variability in modes of mobility, however we previously validated this definition in detecting an association with CRP levels in SCI in previous and current study cohorts.11,27,28,30 While our findings suggest that ibuprofen use may reduce systemic inflammatory mediators and potentially have positive health benefits among those living with a chronic SCI, additional work is needed to confirm these findings in prospective clinical trials. It is important to note that activation of various anti-inflammatory pathways is heterogenous and dependent of type of NSAIDs as well as dosage and duration of use. For example, ibuprofen has demonstrated strong Rho-inhibition in a dose dependent manner while naproxen does not.47,52 The majority of ibuprofen users in our study where chronic users greater than 1 year. Use was self-reported, and we lacked the ability to analyze biomarker variation based on dosage or duration of use with greater specificity. These associations warrant further investigation in future studies.
Conclusion
The chronic inflammatory state which is frequently seen after SCI leads to poor health and functional outcomes. We report that self-reported ibuprofen use is negatively associated with systemic markers of inflammation, specifically CRP and IL-6, in chronic SCI, and suggests ibuprofen use may be an important, potential variable to consider in future studies focused on systemic inflammation in SCI. Future prospective studies require assessing frequency, duration, and dosage-dependent effects of ibuprofen on systemic markers of inflammation in chronic SCI. These findings may support future clinical trials to determine safety and efficacy of ibuprofen treatment for various outcomes in chronic SCI.
Funding Statement
This study was supported by The National Institute of Arthritis and Musculoskeletal and Skin Diseases under grants [1R01AR059270-01; R01AR064793].
Disclaimer statements
Contributors None
Declaration of interest Andrew Park, Dustin Anderson, Leslie Morse, Nguyen Nguyen, and Ricardo Battaglino declare that they have no conflict of interest.
Conflicts of interest Authors have no conflict of interests to declare.
Data availability statement
The data that support the findings of this study are available from the corresponding author, LM, upon reasonable request
References
- 1.Allison DJ, Ditor DS.. Immune dysfunction and chronic inflammation following spinal cord injury. Spinal Cord 2015 Jan;5b3(1):14–18. doi: 10.1038/sc.2014.184 [DOI] [PubMed] [Google Scholar]
- 2.Schwab JM, Zhang Y, Kopp MA, Brommer B, Popovich PG.. The paradox of chronic neuroinflammation, systemic immune suppression, autoimmunity after traumatic chronic spinal cord injury. Exp Neurol 2014 Aug;258:121–9. doi: 10.1016/j.expneurol.2014.04.023 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Prüss H, Kopp MA, Brommer B, Gatzemeier N, Laginha I, Dirnagl U, et al. . Non-resolving aspects of acute inflammation after spinal cord injury (SCI): indices and resolution plateau. Brain Pathol Zurich Switz 2011 Nov;21(6):652–60. doi: 10.1111/j.1750-3639.2011.00488.x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Gibson AE, Buchholz AC, Martin Ginis KA, SHAPE-SCI Research Group . C-reactive protein in adults with chronic spinal cord injury: increased chronic inflammation in tetraplegia vs paraplegia. Spinal Cord 2008 Sep;46(9):616–21. doi: 10.1038/sc.2008.32 [DOI] [PubMed] [Google Scholar]
- 5.Frost F, Roach MJ, Kushner I, Schreiber P.. Inflammatory C-reactive protein and cytokine levels in asymptomatic people with chronic spinal cord injury. Arch Phys Med Rehabil 2005 Feb;86(2):312–17. doi: 10.1016/j.apmr.2004.02.009 [DOI] [PubMed] [Google Scholar]
- 6.Segal JL, Gonzales E, Yousefi S, Jamshidipour L, Brunnemann SR.. Circulating levels of IL-2R, ICAM-1, and IL-6 in spinal cord injuries. Arch Phys Med Rehabil 1997 Jan;78(1):44–47. doi: 10.1016/S0003-9993(97)90008-3 [DOI] [PubMed] [Google Scholar]
- 7.Wang T-D, Wang Y-H, Huang T-S, Su T-C, Pan S-L, Chen S-Y.. Circulating levels of markers of inflammation and endothelial activation are increased in men with chronic spinal cord injury. J Formos Med Assoc Taiwan Yi Zhi 2007 Nov;106(11):919–28. doi: 10.1016/S0929-6646(08)60062-5 [DOI] [PubMed] [Google Scholar]
- 8.Garshick E, Stolzmann KL, Gagnon DR, Morse LR, Brown R.. Systemic inflammation and reduced pulmonary function in chronic spinal cord injury. PM R 2011 May;3(5):433–9. doi: 10.1016/j.pmrj.2011.02.003 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Hart JE, Morse L, Tun CG, Brown R, Garshick E.. Cross-sectional associations of pulmonary function with systemic inflammation and oxidative stress in individuals with chronic spinal cord injury. J Spinal Cord Med 2016;39(3):344–52. doi: 10.1179/2045772315Y.0000000045 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Hart JE, Goldstein R, Walia P, Teylan M, Lazzari A, Tun CG, et al. . FEV1 and FVC and systemic inflammation in a spinal cord injury cohort. BMC Pulm Med 2017 Aug 15;17(1):113. doi: 10.1186/s12890-017-0459-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Morse LR, Stolzmann K, Nguyen HP, Jain NB, Zayac C, Gagnon DR, et al. . Association between mobility mode and C-reactive protein levels in men with chronic spinal cord injury. Arch Phys Med Rehabil 2008 Apr;89(4):726–31. doi: 10.1016/j.apmr.2007.09.046 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Wyczalkowska-Tomasik A, Czarkowska-Paczek B, Zielenkiewicz M, Paczek L.. Inflammatory markers change with age, but do not fall beyond reported normal ranges. Arch Immunol Ther Exp (Warsz) 2016;64:249–54. doi: 10.1007/s00005-015-0357-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Ridker PM, Hennekens CH, Buring JE, Rifai N.. C-reactive protein and other markers of inflammation in the prediction of cardiovascular disease in women. N Engl J Med 2000 Mar 23;342(12):836–43. doi: 10.1056/NEJM200003233421202 [DOI] [PubMed] [Google Scholar]
- 14.Ridker PM, Rifai N, Stampfer MJ, Hennekens CH.. Plasma concentration of interleukin-6 and the risk of future myocardial infarction among apparently healthy men. Circulation. 2000 Apr 18;101(15):1767–72. doi: 10.1161/01.CIR.101.15.1767 [DOI] [PubMed] [Google Scholar]
- 15.Ridker PM, Danielson E, Fonseca FAH, Genest J, Gotto AM, Kastelein JJP, et al. . Rosuvastatin to prevent vascular events in men and women with elevated C-reactive protein. N Engl J Med 2008 Nov 20;359(21):2195–207. doi: 10.1056/NEJMoa0807646 [DOI] [PubMed] [Google Scholar]
- 16.Koenig W, Sund M, Fröhlich M, Fischer HG, Löwel H, Döring A, et al. . C-reactive protein, a sensitive marker of inflammation, predicts future risk of coronary heart disease in initially healthy middle-aged men: results from the MONICA (monitoring trends and determinants in cardiovascular disease) Augsburg cohort study, 1984 to 1992. Circulation 1999 Jan 19;99(2):237–42. doi: 10.1161/01.CIR.99.2.237 [DOI] [PubMed] [Google Scholar]
- 17.Wannamethee SG, Lowe GDO, Shaper AG, Rumley A, Lennon L, Whincup PH.. Associations between cigarette smoking, pipe/cigar smoking, and smoking cessation, and haemostatic and inflammatory markers for cardiovascular disease. Eur Heart J 2005 Sep;26(17):1765–73. doi: 10.1093/eurheartj/ehi183 [DOI] [PubMed] [Google Scholar]
- 18.Manns PJ, McCubbin JA, Williams DP.. Fitness, inflammation, and the metabolic syndrome in men with paraplegia. Arch Phys Med Rehabil 2005 Jun;86(6):1176–81. doi: 10.1016/j.apmr.2004.11.020 [DOI] [PubMed] [Google Scholar]
- 19.Goldstein RL, Walia P, Teylan M, Lazzari AA, Tun CG, Hart JE, et al. . Clinical factors associated with C-reactive protein in chronic spinal cord injury. Spinal Cord. 2017;55(12):1088–95. doi: 10.1038/sc.2017.81 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Koutrakis NE, Goldstein RL, Walia P, Polak MM, Lazzari AA, Tun CG, et al. . Vitamin D, diet, and lifestyle in a chronic SCI population. Spinal Cord 2019 Feb;57(2):117–27. doi: 10.1038/s41393-018-0148-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Walia P, Goldstein RL, Teylan M, Lazzari AA, Hart JE, Tun CG, et al. . Associations between vitamin D, adiposity, and respiratory symptoms in chronic spinal cord injury. J Spinal Cord Med 2018 Nov;41(6):667–75. doi: 10.1080/10790268.2017.1374020 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Jana NR. NSAIDs and apoptosis. Cell Mol Life Sci CMLS. 2008 May;65(9):1295–301. doi: 10.1007/s00018-008-7511-x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Leibowitz B, Qiu W, Buchanan ME, Zou F, Vernon P, Moyer MP, et al. . BID mediates selective killing of APC-deficient cells in intestinal tumor suppression by nonsteroidal antiinflammatory drugs. Proc Natl Acad Sci U S A 2014 Nov 18;111(46):16520–5. doi: 10.1073/pnas.1415178111 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Watzlawick R, Sena ES, Dirnagl U, Brommer B, Kopp MA, Macleod MR, et al. . Effect and reporting bias of RhoA/ROCK-blockade intervention on locomotor recovery after spinal cord injury: a systematic review and meta-analysis. JAMA Neurol 2014 Jan;71(1):91–99. doi: 10.1001/jamaneurol.2013.4684 [DOI] [PubMed] [Google Scholar]
- 25.Kopp MA, Liebscher T, Watzlawick R, Martus P, Laufer S, Blex C, et al. . SCISSOR-Spinal Cord Injury Study on Small molecule-derived Rho inhibition: a clinical study protocol. BMJ Open 2016;6(7):e010651. doi: 10.1136/bmjopen-2015-010651 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Muroi C, Hugelshofer M, Seule M, Keller E.. The impact of nonsteroidal anti-inflammatory drugs on inflammatory response after aneurysmal subarachnoid hemorrhage. Neurocrit Care 2014 Apr;20(2):240–6. doi: 10.1007/s12028-013-9930-2 [DOI] [PubMed] [Google Scholar]
- 27.Doherty AL, Battaglino RA, Donovan J, Gagnon D, Lazzari AA, Garshick E, et al. . Adiponectin is a candidate biomarker of lower extremity bone density in men with chronic spinal cord injury. J Bone Miner Res Off J Am Soc Bone Miner Res 2014 Jan;29(1):251–9. doi: 10.1002/jbmr.2020 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Morse LR, Sudhakar S, Lazzari AA, Tun C, Garshick E, Zafonte R, et al. . Sclerostin: a candidate biomarker of SCI-induced osteoporosis. Osteoporos Int J Establ Result Coop Eur Found Osteoporos Natl Osteoporos Found USA 2013 Mar;24(3):961–8. doi: 10.1007/s00198-012-2072-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Ferris BG. Epidemiology standardization project (American Thoracic Society). Am Rev Respir Dis 1978 Dec;118(6 Pt 2):1–120. [PubMed] [Google Scholar]
- 30.Morse LR, Nguyen N, Battaglino RA, Guarino AJ, Gagnon DR, Zafonte R, et al. . Wheelchair use and lipophilic statin medications may influence bone loss in chronic spinal cord injury: findings from the FRASCI-bone loss study. Osteoporos Int J Establ Result Coop Eur Found Osteoporos Natl Osteoporos Found USA 2016 Dec;27(12):3503–11. doi: 10.1007/s00198-016-3678-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Khera A, McGuire DK, Murphy SA, Stanek HG, Das SR, Vongpatanasin W, et al. . Race and gender differences in C-reactive protein levels. J Am Coll Cardiol 2005 Aug 2;46(3):464–9. doi: 10.1016/j.jacc.2005.04.051 [DOI] [PubMed] [Google Scholar]
- 32.Heinrich PC, Castell JV, Andus T.. Interleukin-6 and the acute phase response. Biochem J 1990 Feb 1;265(3):621–36. doi: 10.1042/bj2650621 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Kushner I, Mackiewicz A.. Acute phase proteins as disease markers. Dis Markers 1987 Mar;5(1):1–11. [PubMed] [Google Scholar]
- 34.Weinhold B, Bader A, Poli V, Rüther U.. Interleukin-6 is necessary, but not sufficient, for induction of the human C-reactive protein gene in vivo. Biochem J 1997 Aug 1;325(Pt 3):617–21. doi: 10.1042/bj3250617 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Weinhold B, Rüther U.. Interleukin-6-dependent and -independent regulation of the human C-reactive protein gene. Biochem J 1997 Oct 15;327(Pt 2):425–9. doi: 10.1042/bj3270425 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Scheller J, Chalaris A, Schmidt-Arras D, Rose-John S.. The pro- and anti-inflammatory properties of the cytokine interleukin-6. Biochim Biophys Acta 2011 May;1813(5):878–88. doi: 10.1016/j.bbamcr.2011.01.034 [DOI] [PubMed] [Google Scholar]
- 37.Pedersen BK, Febbraio MA.. Muscles, exercise and obesity: skeletal muscle as a secretory organ. Nat Rev Endocrinol 2012 Apr 3;8(8):457–65. doi: 10.1038/nrendo.2012.49 [DOI] [PubMed] [Google Scholar]
- 38.Muroi C, Hugelshofer M, Seule M, Tastan I, Fujioka M, Mishima K, et al. . Correlation among systemic inflammatory parameter, occurrence of delayed neurological deficits, and outcome after aneurysmal subarachnoid hemorrhage. Neurosurgery 2013 Mar;72(3):367–75; discussion 375. doi: 10.1227/NEU.0b013e31828048ce [DOI] [PubMed] [Google Scholar]
- 39.Davies AL, Hayes KC, Dekaban GA.. Clinical correlates of elevated serum concentrations of cytokines and autoantibodies in patients with spinal cord injury. Arch Phys Med Rehabil 2007 Nov;88(11):1384–93. doi: 10.1016/j.apmr.2007.08.004 [DOI] [PubMed] [Google Scholar]
- 40.Pearson TA, Mensah GA, Alexander RW, Anderson JL, Cannon RO, Criqui M, et al. . Markers of inflammation and cardiovascular disease: application to clinical and public health practice: A statement for healthcare professionals from the Centers for Disease Control and Prevention and the American Heart Association. Circulation 2003 Jan 28;107(3):499–511. doi: 10.1161/01.CIR.0000052939.59093.45 [DOI] [PubMed] [Google Scholar]
- 41.Garshick E, Kelley A, Cohen SA, Garrison A, Tun CG, Gagnon D, et al. . A prospective assessment of mortality in chronic spinal cord injury. Spinal Cord 2005 Jul;43(7):408–16. doi: 10.1038/sj.sc.3101729 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Kahveci R, Gökçe EC, Gürer B, Gökçe A, Kisa U, Cemil DB, et al. . Neuroprotective effects of rosuvastatin against traumatic spinal cord injury in rats. Eur J Pharmacol 2014 Oct 15;741:45–54. doi: 10.1016/j.ejphar.2014.07.042 [DOI] [PubMed] [Google Scholar]
- 43.Pepine CJ, Gurbel PA.. Cardiovascular safety of NSAIDs: additional insights after PRECISION and point of view. Clin Cardiol 2017 Dec;40(12):1352–6. doi: 10.1002/clc.22814 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Bally M, Dendukuri N, Rich B, Nadeau L, Helin-Salmivaara A, Garbe E, et al. . Risk of acute myocardial infarction with NSAIDs in real world use: Bayesian meta-analysis of individual patient data. Br Med J 2017 May 9;357:j1909. doi: 10.1136/bmj.j1909 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Ricciotti E, FitzGerald GA.. Prostaglandins and inflammation. Arterioscler Thromb Vasc Biol 2011 May;31(5):986–1000. doi: 10.1161/ATVBAHA.110.207449 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Jiang C, Ting AT, Seed B.. PPAR-gamma agonists inhibit production of monocyte inflammatory cytokines. Nature 1998 Jan 1;391(6662):82–86. doi: 10.1038/34184 [DOI] [PubMed] [Google Scholar]
- 47.Kopp MA, Liebscher T, Niedeggen A, Laufer S, Brommer B, Jungehulsing GJ, et al. . Small-molecule-induced Rho-inhibition: NSAIDs after spinal cord injury. Cell Tissue Res 2012 Jul;349(1):119–32. doi: 10.1007/s00441-012-1334-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Dubreuil CI, Winton MJ, McKerracher L.. Rho activation patterns after spinal cord injury and the role of activated Rho in apoptosis in the central nervous system. J Cell Biol 2003 Jul 21;162(2):233–43. doi: 10.1083/jcb.200301080 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Gross RE, Mei Q, Gutekunst C-A, Torre E.. The pivotal role of RhoA GTPase in the molecular signaling of axon growth inhibition after CNS injury and targeted therapeutic strategies. Cell Transplant 2007;16(3):245–62. doi: 10.3727/000000007783464740 [DOI] [PubMed] [Google Scholar]
- 50.Fehlings MG, Kim KD, Aarabi B, Rizzo M, Bond LM, McKerracher L, et al. . Rho inhibitor VX-210 in acute traumatic subaxial cervical spinal cord injury: Design of the SPinal cord injury Rho INhibition InvestiGation (SPRING) clinical trial. J Neurotrauma 2018 May 1;35(9):1049–56. doi: 10.1089/neu.2017.5434 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.National Spinal Cord Injury Statistical Center, Facts and Figures at a Glance . [PDF FILE] Birmingham, AL: University of Alabama at Birmingham, 2020. Available from https://www.nscisc.uab.edu/Public/Facts%20and%20Figures%202020.pdf.
- 52.Fu Q, Hue J, Li S.. Nonsteroidal anti-inflammatory drugs promote axon regeneration via RhoA inhibition. J Neurosci Off J Soc Neurosci 2007 Apr 11;27(15):4154–64. doi: 10.1523/JNEUROSCI.4353-06.2007 [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The data that support the findings of this study are available from the corresponding author, LM, upon reasonable request