- Research article
- Open Access
- Open Peer Review
Inflammatory biomarkers in serum in subjects with and without work related neck/shoulder complaints
© Matute Wilander et al.; licensee BioMed Central Ltd. 2014
- Received: 12 June 2013
- Accepted: 20 March 2014
- Published: 26 March 2014
Although it has recently been recognised that inflammation is important in the development of work-related musculoskeletal disorders (MSDs), the exact pathophysiological pathways are unknown.
We investigated serum concentrations of inflammatory cytokines in 35 female supermarket cashiers with repetitive work tasks and work related neck/shoulder complaints, compared with those from 25 women without MSDs (6 supermarket cashiers and 19 middle-school teachers or faculty staff). None of the subjects were pregnant or lactating, and showed no signs of rheumatoid arthritis, systemic lupus erythematosus, cancer, diabetes, coronary artery disease or inadequately controlled hypertension. Serum levels of IL-1α, IL-1β, IL-6, IL-8, IL-10, IL-12, MCP-1, MIP-1α, MIP-1β, TNF-α, GM-CSF, CTGF and CRP were analysed.
The women with pain related to MSD had higher serum concentrations of MIP-1β (median, 25th-75th percentile: 90.0 pg/mL, 62.5-110 vs. 73.1 pg/mL, 54.6-88.3; p = 0.018), IL-12 (0.26 pg/mL, 0.26-0.26 vs. 0.26 pg/mL, 0.26-0.26; p = 0.047) and CRP (0.5 mg/L, 0.5-1.6 vs. 0.5 mg/L, 0.5-0.5; p = 0.003), than control subjects. Levels of MIP-1α, MIP-1β and CRP were correlated with the reported intensity of neck/shoulder pain (r = 0.29, p = 0.03 for MIP-1α; r = 0.29, p = 0.02 for MIP-1β and r = 0.43, p = 0.001 for CRP). No statistically significant differences in serum levels were found for the remaining cytokines.
Otherwise healthy females with ongoing work-related neck/shoulder pain showed higher serum concentrations of MIP-1β, IL-12 and CRP than controls, and the levels of MIP-1α, MIP-1β and CRP were correlated to pain intensity. These results support previous findings that inflammatory processes play a part in work related MSDs.
- Work related
- Musculoskeletal disorders
Work-related musculoskeletal disorders (MSDs) are a widespread public health problem. However, the exact pathophysiological pathways of these disorders are still unknown. It is therefore important to study possible mechanisms, to enable the early identification of those at risk of developing MSDs as a result of different types of exposures, and to allow appropriate therapeutic interventions.
The role of inflammation in the early phases of MSDs has been highlighted in many recent publications[1, 2]. Several animal studies have shown inflammatory changes in tissues following repetitive tasks. Soslowsky et al. reported continuous deterioration of the mechanical properties of a tendon, induced by overuse for 16 weeks. Histological examination revealed increased cellularity and increased cross-sectional area of the tendon, indicating inflammation. Signs of widespread inflammation have also been found in the tissues and in serum of animals performing repetitive tasks. Barbe et al. constructed an animal model in which rats were trained to reach repeatedly for food pellets, or to reach and pull a handle for a food reward[2, 5]. Although this was a low-intensity task, increasing numbers of infiltrating macrophages were seen in all four limbs after one month of performing the task, indicating inflammation on a systemic level. A significant increase in resident macrophages in the limb used for reaching, and in serum levels of the pro-inflammatory cytokine IL-1α were found after eight weeks. Barbe et al. therefore suggested that musculotendinous injuries resulting from performing repetitive, and/or forceful, tasks lead to an early inflammatory response. In a more recent study of humans, Carp et al. found a correlation between the severity of newly developed upper extremity overuse MSD in patients and serum levels of inflammatory cytokines and C-reactive protein (CRP), thus also supporting the role of an early inflammatory response in the development of overuse MSD. If the loads are low, or sufficient time is allowed, complete recovery from inflammation may be possible. However, if tissue repair cannot take place due to continued demands on injured and inflamed tissues, a chronic inflammatory process may result[1, 7, 8].
If systemic inflammatory processes do indeed play an important role in the development of overuse injuries, it may be possible to assess work-related MSDs using biomarkers of inflammation. Such biomarkers provide objective measures of pathophysiological processes, and studies in humans at different stages of disease progression could provide valuable information. The aim of the present study was, thus, to investigate whether levels of biomarkers of inflammation were higher in workers with work-related MSDs, recruited from the working population, and not from a health-care provider, than in females not reporting any MSDs. In addition, since previous studies have shown an increased number of macrophages in tissues of animals performing repetitive tasks[4, 9], cytokines known to be associated with macrophages were also analysed.
Subjects were recruited from two ongoing epidemiological studies (Balogh et al. to be published, Arvidsson et al. to be published), in which postal questionnaires regarding the frequency and intensity of musculoskeletal symptoms, as well as whether the symptoms were perceived as work-related, were sent out. Female supermarket cashiers with and without ongoing work-related neck and/or shoulder pain were identified, as were female teachers without such complaints. Cashiers are of special interest since they are exposed to repetitive reaching and grasping during a substantial part of the working day. Teaching, on the other hand, is essentially a varied, mobile form of work. To ensure a sufficiently large control group, faculty and staff from our department, all performing varied work tasks, were also included. Eligible subjects received a letter containing information about the study and were thereafter contacted by telephone. Those who were willing to participate in the study were interviewed regarding their medical health status, using a standardized questionnaire. A final pain assessment, and blood sampling, were performed at our clinic.
The study was approved by the Regional Ethical Review Board in Lund. All subjects signed an informed consent form, after receiving written and oral information.
For MSD subjects inclusion criteria were pain or discomfort in the neck and/or shoulders since at least one month, as reported in the questionnaire. The intensity of pain was required to be at least 3 on a Borg scale between 0 and 10[11, 12]. During the past 12 months, the subject was required to have experienced this pain “often” or “very often” on a 5-point scale ranging from “never”, “seldom”, “sometimes”, “often” to “very often”. The problems were also to be perceived by the subject as work related. On the day of blood sampling, the intensity of pain was required to be at least 3.
Immediately following blood sampling, all participants were interviewed regarding musculoskeletal symptoms in the neck, shoulders, elbows and hands, upper and lower back, hips, knees and feet, providing data on pain or discomfort in 9 different regions of the body. The MSD subjects were once again asked to estimate the intensity of pain in their neck and shoulders, using the 11-point Borg scale. An average neck and shoulder pain intensity was calculated from the reported intensities in these regions. A standardized physical examination of the neck, shoulders, elbows and hands was also performed in and diagnoses were made according to predefined criteria[14, 15].
Blood samples were collected from the individuals in the control group, provided that they had reported pain or discomfort from any site in the musculoskeletal system no more than “sometimes” during the past 12-months, and did not report any musculoskeletal pain at all on the day of the blood sampling.
Exclusion criteria were known rheumatoid arthritis or systemic lupus erythematosus. Subjects with cancer, diabetes, coronary artery disease or inadequately controlled hypertension were also excluded, as were women who were pregnant or lactating. The body mass index (BMI) was required to be between 18 and 30. Subjects were excluded if they were currently taking medication containing cortisone. Subjects taking non-steroidal anti-inflammatory drugs (NSAIDs) were included only if they could refrain from taking these medications for 7 days prior to the blood test. Similarly subjects using tobacco products were excluded unless they could refrain from using such products 7 days prior to the blood test. Subjects who had had a cold or any other infection during the 7 days prior to the blood test were asked to come back at a later date. On the day of the examination and blood sampling, blood samples were also taken to determine thyroid function and rheumatoid factor (RF). Subjects showing abnormalities regarding these parameters were excluded.
Fifty-one subjects with work-related neck and/or shoulder pain were recruited for blood sampling. Of these, one subject who tested positive for RF and one subject found to have thyroid dysregulation were excluded. Fourteen subjects did not report neck and/or shoulder pain of at least moderate intensity, and were therefore excluded, leaving a group of 35 subjects.
Thirty-six symptom-free control subjects were recruited. Of these, 11 reported temporary pain on the day of blood sampling and were excluded, leaving 25 control subjects in the group. Of the control subjects 6 were cashiers and 19 were middle-school teachers or faculty and staff at our department, with non-repetitive work tasks.
The mean BMI was 24 kg/m2 (SD 3) in the MSD subjects, and in the control group 23 kg/m2 (SD 2). BMIs were evenly distributed between subjects with different work tasks in the control group. The mean age was 45 years (SD 14) in the MSD group and 42 (SD 10) in the control group, also evenly distributed between subjects with different work tasks.
Serum samples and analyses
All serum samples were collected prior to the physical examination, between 10 am and 12 noon. Samples were either sent to the laboratory at the Department of Clinical Chemistry at the Skåne University Hospital for immediate analysis or stored at -80°C until analysis. Serum samples for the analysis of thyroid function (thyroid stimulating hormone and thyroxine) as well as RF and C-reactive protein (CRP) were sent continuously to the laboratory at the Department of Clinical Chemistry, and analysed according to standard procedures.
Cytokine serum levels of 6 interleukins [IL-1α, IL-1β, IL-6, IL-8, IL-10, IL-12 (p70)], monocyte chemotactic protein 1 (MCP-1), macrophage inflammatory protein 1α (MIP-1α), MIP-1β, granulocyte-macrophage colony-stimulating factor (GM-CSF) and tumour necrosis factor α (TNF-α) were determined using multiplex immunoassay analysis, on a Bio-Plex 200 Luminex instrument (Bio-Rad, Hercules, CA, USA). Triplicate analyses were performed on each sample. Single-plex magnetic bead-based assays (Bio-Rad) containing beads coated with antibodies specific for each analyte were mixed, and the assay was performed according to the instructions of the manufacturer’s instructions, with some minor changes. The time for incubation between beads and sample was increased to 60 minutes. All wash steps were performed using a Bio-Plex Pro wash-station (Bio-Rad). Standard curve and concentrations of cytokines were determined by Bio-Plex Manager 6.0 software (Bio-Rad) using five-parameter curve fitting. The lower limit of detection (LOD) was determined as the mean value of the concentration of the lowest detectable standard identified within each analysis. The LODs for the measured cytokines were (pg/mL): IL-1α, 0.30; IL-1β, 0.52; IL-6, 0.30; IL-8, 0.41; IL-10, 0.43; IL-12, 0.51; TNF-α, 1.2; MIP-1α, 0.32; MIP-1β, 0.86; MCP-1, 0.36; GM-CSF, 0.85.
The levels of a few some of the cytokines were very low, partly due to dilution of the samples (performed according to the instructions of the protocol), and values were extrapolated (flagged by the software) below the lowest standard point. After multiplying by four, to calculate the true concentration, most values were above the detection limit. Concentrations that were still below the LOD were assigned a value of half the LOD. The lower detection level of CRP was 1.0 mg/L, and values below this were set to 0.5 mg/L.
Connective tissue growth factor (CTGF) was analysed using a commercially available ELISA kit from Adipo Bioscience (Santa Clara, CA, USA). Serum samples were analysed in duplicate according to the manufacturer’s instructions.
All statistical analyses were conducted in SPSS 18.0 (SPSS, Chicago, IL, USA). A p-value of less than 0.05 (two-tailed) was accepted as a statistically significant difference. Since the data were skewed, comparisons between group means were performed using independent samples t-tests with values transformed according to the natural logarithm, giving normally distributed data. To investigate the effects of possible confounders ANOVA analysis was applied for the covariates BMI and age. Correlations were tested using Spearman’s test.
Correlation matrix (Spearman rank-correlation coefficients; r s ) for cytokine and CRP levels
Cytokine¹ (in pg/mL) and CRP (in mg/L) levels in subjects with work-related musculoskeletal disorder (MSD) and controls, given as median, 25 th and 75 th percentile
Subjects with MSD (N=35)
No evidence was found of a difference in inflammatory mediators when the control subjects were divided into two groups according to their working conditions, forming one group withvaried and non-repetitive work tasks (teachers and faculty and staff at our department), and another with repetitive work tasks (cashiers). When comparing the affected cashiers with the control subjects with non-repetitive work tasks, the former still showed higher levels of IL-12 (p = 0.047), MIP-1β (p = 0.04) and CRP (p = 0.002). The number of unaffected cashiers was too small to allow statistical testing.
The median number of affected body regions in the MSD subjects, of the 9 regions from which data were collected, was 4.0 (2.0 – 5.0). CRP concentration was correlated with the total number of affected body regions (rs = 0.45, p < 0.001).
No other cytokines showed correlations with pain intensity or the number of body regions affected. CRP concentration was positively correlated with BMI (rs = 0.48, p < 0.001). However, we found no correlations between the cytokine levels and age or BMI. BMI was weakly correlated with pain intensity (p = 0.10) and the number of affected body regions (p = 0.06). Adjustment for BMI and age did not significantly affect the results (Table 2).
We found increased levels of IL-12, MIP-1β and CRP in the serum of subjects with work related MSD in the neck/shoulder region. We believe these findings represent an ongoing inflammation in these individuals.
As there was a time delay between answering the initial postal questionnaire and blood sampling in some cases, all subjects were interviewed regarding their current health status on the day of the blood test, and only subjects who were affected or unaffected, at the time of answering the questionnaire and on the day of the blood test, were included in the study. All calculations were performed on the results obtained from the interview and examination on the day of the blood test. In this way we were able form clearly distinct groups of subjects with and without MSDs.
The serum used for analysing the cytokines was frozen immediately after sampling. Since the recruiting of suitable subjects was a lengthy process, some samples were stored in the freezer for up to three years. When analysing the samples, we therefore paid special attention to any signs of possible drift in concentrations in the older samples. However, we observed no such drift, and therefore believe that the storage time did not affect the quality of the samples or the results obtained. Blood tests for CRP, on the other hand, were analysed continuously at the laboratory of the Skåne University Hospital. This resulted in a relatively crude analysis for our purpose. In spite of this, we found a statistically significant elevation of CRP levels in the MSD group and a correlation between CRP and pain intensity.
The age distributions in the affected and unaffected groups were comparable, and we found no correlations between age and any of the cytokines analysed or CRP. Age has, however, been suggested to correlate with inflammatory status, and we therefore adjusted for this variable. Doing so did not significantly change the results.
Increased BMI is known to be associated with elevated CRP levels, and obesity has also been reported to affect cytokine levels and, therefore, only subjects with BMI in the range 18-30 were included in the study. We found no correlations between the cytokines and BMI but, as would be expected, we did find a correlation between BMI and CRP. The two groups were, however, very similar with regard to BMI, and adjusting for BMI in a statistical model did not affect the result.
CRP is a marker of any type of inflammatory process, and there may be many reasons for an increase in CRP levels in an individual. Individuals with colds or other infections were, however, asked to return for blood sampling and examination at a later date. Our exclusion criteria also contained several disorders associated with inflammation. Thus, we believe that the elevated CRP levels found in the MSD group did in fact reflect an inflammatory component of their MSD.
IL-12 is released from classically activated macrophages following activation signals via e.g. TNF-α and GM-CSF. IL-12 levels were generally low in this study, and only four subjects had levels above the LOD. However, all of these were MSD subjects and we therefore observed a statistically significant difference between groups with and without MSDs. This finding is interesting, but it is not possible to draw any conclusions with such a limited number of samples above the LOD.
Performing multiple analyses may increase the risk of discovering seemingly significant findings by chance. This is a limitation of the study, but the observed increases in CRP and MIP-1β are in line with previously published results, and can be explained from a pathophysiological perspective.
As expected, many of the cytokines analysed were found to be correlated with each other. This is consistent with the belief that inflammatory cytokines can stimulate the production of one another. For example, IL-1α and TNF-α have been shown to induce cytokine gene expression and production.
We were not able to verify the results of previous studies, in which the pro-inflammatory cytokines IL-1 or TNF-α were found to be elevated in animals and patients suffering from MSD caused by repetitive stress[1, 4, 6]. In these studies, relatively newly developed disorders were examined, whereas our subjects had a long history of overuse MSD. However, increases were observed in pro-inflammatory chemokines (small cytokines), as discussed below.
Since previous studies have shown an increase in macrophages in the tissues, as well as an increase in the macrophage inflammatory protein 3a in serum, in animals performing repetitive tasks, we included cytokines associated with macrophages in our analyses. The results showed a statistically significant increase in MIP-1β, a cytokine released by neutrophils, which acts as a chemokine and activating factor for monocytes and macrophages. This finding is consistent with the findings of Barbe et al.. Interestingly, MIP-1β was also correlated with the reported intensity of pain in the neck and shoulder in our subjects, suggesting that the level of MIP-1β increases with the severity of the disorder. To the best of our knowledge, MIP-1β has not previously been evaluated in subjects with overuse MSD. MIP-1α was also correlated to pain intensity, and showed a tendency towards elevated serum levels in the MSD group. However, this elevation was not statistically significant.
CRP is a well-known and reliable biomarker of inflammation and tissue injury, and it has also been found to be elevated in subjects with repetitive work tasks and MSD. We found increased CRP levels in a substantial proportion (48%) of the affected subjects, indicating an underlying systemic inflammatory process in these individuals. Like MIP-1α and MIP-1β, CRP was correlated to the severity of neck/shoulder symptoms, but interestingly, MIP-1α, MIP-1β and CRP were not correlated with each other. It is possible that these biomarkers reflect different stages of an inflammatory process. The MSD subjects had both a long history of pain and a continuing exposure to repetitive work tasks. It could, therefore, be expected that we would find different stages of the inflammatory process within this group, and perhaps even within the same individual.
It has been suggested that repetitive and force demanding tasks lead to tissue fatigue failure[7, 8], initially with inflammatory processes, followed by fibrotic processes. CTGF has been suggested as a potential mediator of fibrotic events[23, 24], and has been shown to increase in the later stages of work-related MSDs[25, 26]. Elevated levels of MIPs and CRP, but no difference concerning CTGF, between the subjects with and without MSD in the present study, may thus indicate that the affected subjects were in an inflammatory phase.
Since no differences were seen in cytokine levels between the control subjects with and without repetitive work tasks, we believe that the observed increase in inflammatory mediators seen in the MSD group is due to the musculoskeletal disorder resulting in pain, and not to the repetitive work itself.
Signs of inflammation could be found in our subjects, despite the fact that they were recruited from the working population, and not from a health-care provider. We believe this is an important field for future research, since discovering the underlying pathophysiological mechanisms causing work-related MSD provide opportunities to assess, treat and prevent these disorders.
This study was supported by grants from the Swedish Council for Work Life and Social Research, the Medical Faculty of Lund University, and the County Councils of Southern Sweden. Skilful assistance with biochemical analyses was provided by Agneta Kristensen and Gertrud Wohlfart. Jonathan Axelsson, Katrin Dierschke, Anna-Therese Gunneskog, Jenny Gremark Simonsen, Kerstina Ohlsson and Ylva Oudin gave valuable assistance in collecting the data.
- Barbe MF, Barr AE: Inflammation and the pathophysiology of work-related musculoskeletal disorders. Brain Behav Immun. 2006, 20: 423-429. 10.1016/j.bbi.2006.03.001.View ArticlePubMedPubMed CentralGoogle Scholar
- Xin DL, Harris MY, Wade CK, Amin M, Barr AE, Barbe MF: Aging enhances serum cytokine response but not task-induced grip strength declines in a rat model of work-related musculoskeletal disorders. BMC Musculoskelet Disord. 2011, 12: 63-10.1186/1471-2474-12-63.View ArticlePubMedPubMed CentralGoogle Scholar
- Soslowsky LJ, Thomopoulos S, Tun S, Flanagan CL, Keefer CC, Mastaw J, Carpenter JE: Neer Award 1999. Overuse activity injures the supraspinatus tendon in an animal model: a histologic and biomechanical study. J Shoulder Elbow Surg. 1999, 2000 (9): 79-84.Google Scholar
- Barbe MF, Barr AE, Gorzelany I, Amin M, Gaughan JP, Safadi FF: Chronic repetitive reaching and grasping results in decreased motor performance and widespread tissue responses in a rat model of MSD. J Orthop Res. 2003, 21: 167-176. 10.1016/S0736-0266(02)00086-4.View ArticlePubMedPubMed CentralGoogle Scholar
- Elliott MB, Barr AE, Clark BD, Amin M, Amin S, Barbe MF: High force reaching task induces widespread inflammation, increased spinal cord neurochemicals and neuropathic pain. Neuroscience. 2009, 158: 922-931. 10.1016/j.neuroscience.2008.10.050.View ArticlePubMedGoogle Scholar
- Carp SJ, Barbe MF, Winter KA, Amin M, Barr AE: Inflammatory biomarkers increase with severity of upper-extremity overuse disorders. Clin Sci (Lond). 2007, 112: 305-314. 10.1042/CS20060050.View ArticleGoogle Scholar
- Barbe MF, Gallagher S, Popoff SN: Serum biomarkers as predictors of stage of work-related musculoskeletal disorders. J Am Acad Orthop Surg. 2013, 21: 644-646. 10.5435/JAAOS-21-10-644.View ArticlePubMedGoogle Scholar
- Gallagher S, Heberger JR: Examining the interaction of force and repetition on musculoskeletal disorder risk: a systematic literature review. Hum Factors. 2013, 55: 108-124. 10.1177/0018720812449648.View ArticlePubMedPubMed CentralGoogle Scholar
- Barbe MF, Elliott MB, Abdelmagid SM, Amin M, Popoff SN, Safadi FF, Barr AE: Serum and tissue cytokines and chemokines increase with repetitive upper extremity tasks. J Orthop Res. 2008, 26: 1320-1326. 10.1002/jor.20674.View ArticlePubMedGoogle Scholar
- Kuorinka I, Jonsson B, Kilbom A, Vinterberg H, Biering-Sorensen F, Andersson G, Jorgensen K: Standardised Nordic questionnaires for the analysis of musculoskeletal symptoms. Appl Ergon. 1987, 18: 233-237. 10.1016/0003-6870(87)90010-X.View ArticlePubMedGoogle Scholar
- Borg G: Psychophysical scaling with applications in physical work and the perception of exertion. Scand J Work Environ Health. 1990, 16 (Suppl 1): 55-58.View ArticlePubMedGoogle Scholar
- Holmström E, Moritz U: Effects of lumbar belts on trunk muscle strength and endurance: a follow-up study of construction workers. J Spinal Disord. 1992, 5: 260-266. 10.1097/00002517-199209000-00003.View ArticlePubMedGoogle Scholar
- Holmström E, Moritz U: Low back pain–correspondence between questionnaire, interview and clinical examination. Scand J Rehabil Med. 1991, 23: 119-125.PubMedGoogle Scholar
- Nordander C, Ohlsson K, Balogh I, Hansson GA, Axmon A, Persson R, Skerfving S: Gender differences in workers with identical repetitive industrial tasks: exposure and musculoskeletal disorders. Int Arch Occup Environ Health. 2008, 81: 939-947. 10.1007/s00420-007-0286-9.View ArticlePubMedGoogle Scholar
- Ohlsson K, Attewell RG, Johnsson B, Ahlm A, Skerfving S: An assessment of neck and upper extremity disorders by questionnaire and clinical examination. Ergonomics. 1994, 37: 891-897. 10.1080/00140139408963698.View ArticlePubMedGoogle Scholar
- Mendall MA, Patel P, Ballam L, Strachan D, Northfield TC: C reactive protein and its relation to cardiovascular risk factors: a population based cross sectional study. BMJ. 1996, 312: 1061-1065. 10.1136/bmj.312.7038.1061.View ArticlePubMedPubMed CentralGoogle Scholar
- Devaraj S, O'Keefe G, Jialal I: Defining the proinflammatory phenotype using high sensitive C-reactive protein levels as the biomarker. J Clin Endocrinol Metab. 2005, 90: 4549-4554. 10.1210/jc.2005-0069.View ArticlePubMedGoogle Scholar
- Yudkin JS, Kumari M, Humphries SE, Mohamed-Ali V: Inflammation, obesity, stress and coronary heart disease: is interleukin-6 the link?. Atherosclerosis. 2000, 148: 209-214. 10.1016/S0021-9150(99)00463-3.View ArticlePubMedGoogle Scholar
- Laskin DL: Macrophages and inflammatory mediators in chemical toxicity: a battle of forces. Chem Res Toxicol. 2009, 22: 1376-1385. 10.1021/tx900086v.View ArticlePubMedPubMed CentralGoogle Scholar
- Pang G, Couch L, Batey R, Clancy R, Cripps A: GM-CSF, IL-1 alpha, IL-1 beta, IL-6, IL-8, IL-10, ICAM-1 and VCAM-1 gene expression and cytokine production in human duodenal fibroblasts stimulated with lipopolysaccharide, IL-1 alpha and TNF-alpha. Clin Exp Immunol. 1994, 96: 437-443.View ArticlePubMedPubMed CentralGoogle Scholar
- Scapini P, Lapinet-Vera JA, Gasperini S, Calzetti F, Bazzoni F, Cassatella MA: The neutrophil as a cellular source of chemokines. Immunol Rev. 2000, 177: 195-203. 10.1034/j.1600-065X.2000.17706.x.View ArticlePubMedGoogle Scholar
- Riondino S, La Farina F, Martini F, Guadagni F, Ferroni P: Functional impairment in video terminal operators is related to low-grade inflammation. Int Arch Occup Environ Health. 2011, 84: 745-751. 10.1007/s00420-010-0605-4.View ArticlePubMedGoogle Scholar
- Leask A, Parapuram SK, Shi-Wen X, Abraham DJ: Connective tissue growth factor (CTGF, CCN2) gene regulation: a potent clinical bio-marker of fibroproliferative disease?. J Cell Commun Signal. 2009, 3: 89-94. 10.1007/s12079-009-0037-7.View ArticlePubMedPubMed CentralGoogle Scholar
- Phanish MK, Winn SK, Dockrell ME: Connective tissue growth factor-(CTGF, CCN2)–a marker, mediator and therapeutic target for renal fibrosis. Nephron Exp Nephrol. 2010, 114: e83-e92. 10.1159/000262316.View ArticlePubMedGoogle Scholar
- Clark BD, Al-Shatti TA, Barr AE, Amin M, Barbe MF: Performance of a high-repetition, high-force task induces carpal tunnel syndrome in rats. J Orthop Sports Phys Ther. 2004, 34: 244-253. 10.2519/jospt.2004.34.5.244.View ArticlePubMedGoogle Scholar
- Gao HG, Fisher PW, Lambi AG, Wade CK, Barr-Gillespie AE, Popoff SN, Barbe MF: Increased serum and musculotendinous fibrogenic proteins following persistent low-grade inflammation in a rat model of long-term upper extremity overuse. PloS One. 2013, 8: e71875-10.1371/journal.pone.0071875.View ArticlePubMedPubMed CentralGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2474/15/103/prepub
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