Oxidative Stress and Musculoskeletal Pain in University Students with Generalized Joint Hypermobility: A Case-Control Study.

OBJECTIVE: The current case-control study aimed to evaluate generalized joint hypermobility (GJH) and its association with pain intensity, cellular oxidative stress, and collagen-associated disorders in university students aged 18-25 years old.
BACKGROUND: Joint hypermobility has been recognized in healthy subjects and people who are carriers of cellular disorders in connective tissues. Cellular tissue oxidative stress and collagen-associated disorders were shown to be associated with joint hypermobility (JH).
MATERIALS AND METHODS: A total of 300 university students aged 18-25 years were randomly invited from different medical and science faculties in Mansoura university, Mansoura, Egypt to participate in this case-control study. Only 280 university students who had no exclusion criteria like chronic health problems, physical disability, musculoskeletal disorders, and body mass index (BMI) of ≥25 underwent an initial clinical interview and Beighton scoring as measures of GJH. Pain intensity, physical activity, oxidative stress parameters; TAC, TOC, OSI, and collagen-associated parameters; cellular prolidase activity and hydroxyproline were evaluated by using a prevalidated questionnaire, colorimetric, and immunoassay techniques.
RESULTS: GJH was significantly reported in 57.1% of the study population, and most of them are females. Compared to men, females with GJH showed poor physical activity, lower TAC, and significantly higher levels of TOC, OSI, cellular prolidase activity, and hydroxyproline. Based on our findings, a high Beighton score is closely related to the tissue levels of prolidase, hydroxyproline, antioxidant activity, pain intensity, and poor physical activity in the female with GJH compared to men.
CONCLUSION: GJH was significantly reported in 57.1% of the study population, and most of them are females. The incidence of GJH showed to be associated with poor physical activity, abnormal cellular oxidative stress, and collagen abnormalities measured by significant increase in change in cellular prolidase activity and hydroxyproline.

Introduction

Hypermobility, clinically defined as a wider range of movements in one or more joints with certain physiological disorders.1–6 In addition to healthy people, hypermobility frequently is observed mostly among acrobats, gymnasts, and ballerinas.1–5 Demographic factors are shown to be associated with the severity and incidence of hypermobility. Age, gender, ethnicity, physical activity, sports, and athletic abilities were significantly associated with the degree of hypermobility.7–9 Some degree of hypermobility 25–50% was reported among children below 10 years old.7–11

Several ranged genetic and systemic diseases were shown to be associated with the incidence of hypermobility.12,13 Most of them are Down Syndrome, Osteogenesis imperfecta, Stickler Syndrome, traumas, degenerative joint and bone diseases, muscle weakness, musculoskeletal traits, cardiovascular and nervous system involvements13–15 Other pieces of evidence reported that hypermobility syndrome characterized by multisystemic manifestations especially, chronic pain in association with dysfunction in both autonomic and gastrointestinal motility.13–18

In addition, the catastrophic effects of hypermobility were the increase in cellular tissue oxidative stress markers.19,20 Thus, reactive oxygen species have been implicated in the pathogenesis of many diseases particularly musculoskeletal pain, chronic fatigue, and joint hypermobility.20–22

Similarly, collagen-associated disorders were shown to be associated with joint hypermobility syndrome (JHS).22,23 Prolidase is one of the most pivotal cytosolic and multifunctional exopeptidases which possesses the unique ability to degrade iminodipeptidase, which releases carboxy-terminal proline or hydroxyproline from oligopeptides, particularly collagen.24

Collagen is an important substrate of prolidase due to its high contents of amino acids. Serum prolidase enzyme activity (SPEA) was significantly increased in diseases with chronic inflammation of the tissue and/or increased turnover of collagen such as rheumatic diseases, asthma, and thalassemia.25–27 Although collagen-associated disorders are intracellular, no or limited studies to date have investigated prolidase levels or other collagen-related parameters in serum samples in subjects with joint hypermobility. Thus, the aim of this case control study was to evaluate generalized joint hypermobility (GJH) and its association with pain intensity, cellular oxidative stress, and collagen-associated disorders in university students. Furthermore, this study hypothesized that GJH could be associated with physical activity, cellular oxidative stress, and collagen abnormalities measured by cellular prolidase activity and hydroxyproline among university students.

Materials and Methods

Subjects

A total of 300 university students aged (18–25 years) were randomly invited from different medical and science faculties in Mansoura university, Mansoura, Egypt to participate in this case control study. Students were invited to participate in this study during the period of October 2017 to March 2018. Only 280 university students who had no exclusion criteria such as any acute or chronic health problems like diabetes, cardiovascular diseases, infections, physical disability, body mass index (BMI) of ≥25, previous/current joint, chronic disease of locomotor system, or musculoskeletal disorders were included in this study. Based on the Beighton score analysis, the subjects were classified into two groups: the control group (n= 120, BS: ≤3/9) and the GJH group (n= 160, BS: ≥4/9) as shown in the flow diagram (Figure 1). All participants were asked to complete self-administered questionnaires on hypermobility including a valid five-item questionnaire and a survey on multisystemic associations of hypermobility as previously reported in the literature.28,29

Figure 1

Outline of GJH screening as well as associated assessments, pain score, physical activity, oxidative stress markers, hydroxyproline, and serum prolidase activity in all university students (control and GJH).

All protocol steps were prepared according to the ethical guidelines of the 1975 Declaration of Helsinki and then reviewed and approved by the ethical committee of Rehabilitation Research Chair (RRC), King Saud University, Kingdom of Saudi Arabia, under file number ID: RRC-2017-098. All participants were informed the importance of the study and a written informed consent was obtained from them before data collection. Whole blood samples were collected, centrifuged for 1 min at 1400 rpm and the resulting serum samples were collected and were kept frozen at 20°C until reused. The demographic and clinical data of the participants are in Table 1.

Table 1

Baseline of Clinical and Laboratory Characteristics of the Study Groups

Parameters	Control (n=120; 42.9%; BS:≤ 3/9)	GJH (n=160; 57.14%; BS; ≥ 4/90)	P-value
Age in years	19.7±1.6	20.6±1.7	0.168
Gender (M/F)	80/40	50/110	0.13
BMI (kg/m2)	18.6±2.3	19.2±1.9	0.18
Waist (cm)	79.3 ± 5.1	82.5 ± 4.5	0.23
Hips (cm)	91.5 ± 2.9	89.8 ± 3.7	0.42
WHR	88.9 ± 2.7	92.7 ± 0.21	0.81
WHtR	0.65 ± 0.19	0.72 ± 0.23	0.51
Physical activity (PA):			0.001
VO2 max (mL/kg*min)	36.7 ± 2.8	28.9 ± 3.4
BMR (kcal/day)	4.8±3.1	2.9±2.7
TEE (kcal/day)	8.2 ± 6.1	3.8 ± 2.1
PA scores	6.2±4.1	3.1±1.6
TBS(0–9)	2.6 (1.5–2.7)	4.9 (3.6–6.4)	0.001
Pain intensity	11.8±2.8	36.8±11.7	0.001

Notes: Values are expressed as mean ±SD; Kruskal–Wallis one-way ANOVA, and post-hoc (Tukey HSD) test were used to compare the mean values of the studied variables. Variables were considered significantly different at P < 0.05.

Abbreviations: TBS, Total Beighton score; BMI, body mass index; WHtR, waist to height ratio; PA, physical activity; VO2 max, maximal oxygen uptake; BMR, basal metabolic rate (kcal/day); TEE, total energy expenditure (kcal/day); GJH, Generalized joint hypermobility.

Assessment of Joint Hypermobility

All participants were subjected to evaluate GIH by Beighton score which is internationally validated to estimate GIH in all ages as previously reported.12,23,30 A range of motion scale proposed by Beighton et al31 was used to assess joint hypermobility. In this test, hypermobility was identified by examining and signaling the flexibility of five areas of the body through extension of these parts beyond the physiological limits.31 Finally, the degree of hypermobility was scored from the range of motion scale where a score of ≥4 is classified as generalized joint hypermobility. Thus, our participants with a Beighton score of ≥4/9 were included in the GJH group and those with a score ≤3/9 were included in the control group.32

Anthropometric Measurements

Standardized procedures such as a tape measure and calibrated Salter Electronic Scales (Digital Pearson Scale; ADAM Equipment Inc., Columbia, MD, USA) were used to evaluate height and weight of all participants, respectively.33,34 In addition, validated universal cutoff values were used to calculate adiposity parameters such as BMI and waist-to-height ratio (WHtR) respectively.33,34

Assessment of Pain Score and Physical Activity

Physical fitness score measured as maximum oxygen uptake (VO2 max) and total energy expenditure (TEE) as previously reported.35–38 Total energy expenditure (TEE) was evaluated by calculating basal metabolic rates (BMR) from body mass, height, age, sex, and type of physical activity of all participants using a pre-validated equation as previously reported.35–38 A standard 100 mm visual analog scale (VAS) was used to estimate pain intensity of all participants as previously reported.39,40 For all subjects, pain intensity was evaluated by an excellent reliable VAS score which estimate the change in pain intensity as mentioned previously.32,40

Assessment of Oxidative Stress Markers

For all participants, a novel automated measurement method was used to evaluate total antioxidant capacity (TAC) in all serum samples. TAC was estimated in the supernatant fractions of each serum sample as developed previously in the literatures.20 In addition, a novel automated measurement method was performed to estimate total oxidant activity (TOA) in all serum samples. The activity of TOA was estimated in the resulting supernatant fractions as mentioned previously.21 Oxidative stress index (OSI) was also identified for all subjects. The results of OSI refer to the degree of oxidative stress was calculated as follows:

{[OSI (arbitrary units) = [TOA/TAC] × 10014]}20,21

Measurement of Hydroxyproline and Serum Prolidase Activity (SPEA)

In this experiment, a commercially available colorimetric assay kit (Catalog #K555-100; BioVisionIncorporated, Milpitas, CA, USA) was used to estimate serum hydroxyproline according to manufacturer instructions.41 In addition, a commercially immuno assay ELIAS kit (Hangzhou Eastbiopharm Company, Hangzhou, China) was used to identify SPEA in serum samples of all subjects.42

Statistical Analysis

The sample size used in this study was calculated by considering that the prevalence of hypermobility among adolescence with age range (18–25 years) was unknown (p = 0.50), with a reliability of 96% and an expected frequency of 8.3%. Thus, a sample of 280 subjects were included in this study. Kruskal–Wallis one-way ANOVA, and post-hoc (Tukey HSD) test were used to perform a comparison between the studied variables. Additionally, a one-way analysis of covariance was used to determine whether there were significant differences in the study variables between the study groups. Finally, post hoc pairwise multiple comparisons were performed using Bonferroni correction in order to detect significant differences between two specific groups. The data obtained were deemed significant at P < 0.05 (SPSS statistical 13.0 software version for windows; SPSS Inc., Chicago, IL, USA).

Results

In this study, a total of 280 university students were recruited, including 150 women (53.6%) and 130 men (46.4%), aged 18–25 years (Table 1). GJH was reported in 57.14% of the study population (TB score: 4.9± 3.6), most of them are females (68.75% vs 31.25 for men). The incidence of GJH showed no associations with adiposity parameters of the studied subjects (P › 0.005). Only, physical activity scores measured by VO2max, BMR, TEE, and pain intensity were shown to be associated with the incidence of GJH among university students. There was a significant (P=0.001) decrease in physical activity scores with increased (P=0.001) pain intensity among subjects with GJH compared to healthy controls (Table 1).

Serum prolidase enzyme activity (SPEA) and hydroxyproline as collagen parameters were estimated in this study (Table 2). Serum prolidase enzyme activity (P = 0.001) and hydroxyproline (P = 0.001) were significantly higher in subjects with GJH compared to normal controls (Table 2). In addition, serum oxidative stress parameters; TAC, TOA, and OSI were evaluated in this study. Serum TOA (P=0.001), and OSI (P=0.005) significantly increased, and serum TAC (P=0.001) significantly decreased in subjects with GJH compared to healthy controls (Table 2).

Table 2

Hydroxproline, Prolidase Activity, and Oxidative–Antioxidative Status in the Study Groups (Control and GJH)

Parameters	Control (n=120; 42.9%)	GJH (n=160; 57.1%)	P-value
Hydroxyproline (ng/mL)	2.8±1.3	6.7±3.4	0.001
SPEA (IU/L)	165.1 ± 12	235.8 ± 45.8	0.001
TAC (μmol Trolox Eq t/l)	4.85±0.86	1.62±0.87	0.001
TOA (μmolH2O2 Eq./L)	23.8 ± 11.3	48.5 ± 15.7	0.001
OSI (H2O2/Trolox)	18.9 ± 8.6	38.9 ± 13.5	0.005

Notes: Values are expressed as mean ±SD; Kruskal–Wallis one-way ANOVA, and post-hoc (Tukey HSD) test were used to compare the mean values of the studied variables. Variables were considered significantly different at P < 0.05.

Abbreviations: GJH, Generalized joint hypermobility; SPEA, Serum prolidase enzyme activity; TAC, Total antioxidant capacity; TOA, Total oxidant activity; OSI (Arbitrary Unite), Oxidative stress index.

The incidence of GJH among younger ages is significantly associated with physical activity, pain intensity, collagen deposition (hydroxyproline and SPEA), and oxidative stress (Table 3). The incidence of GJH was positively correlated (P=0.001) with pain intensity, SPEA, hydroxyproline, TOA, OSI, and negatively correlated (P=0.001) with physical activity, and TAC respectively as in Table 3. Compared to men (P=0.001), females with GJH showed lower PA, TAC, and higher levels of serum SPEA, hydroxyproline, TOA, OSI, and pain intensity as shown in Figures 2 and 3.

Table 3

Correlation Between Hypermobility Syndrome (Beighton Score: 0–9) with Serum Hydroxyproline, Serum Prolidase Activity, and Oxidative Stress Parameters in Control and GJH

Parameters	Beighton Score (BG-Score) (0–9)
	Control (n=120; 42.9%) BG- Score (2.6± 2.7)		GJH (n=160; 57.1%) BG-score (4.9 ± 3.6)
	R	P	R	P
PA-score	0.125	0.01	−0.148	0.001
Pain intensity	0.145	0.01	0.128	0.001
Hydroxyproline (ng/mL)	0.158	0.01	0.367	0.001
SPEA (IU/L)	0.148	0.01	0.158	0.001
TAC (μmol Trolox Eq t/l)	0.018	0.01	−0.125	0.001
TOA (μmolH2O2 Eq./L)	0.138	0.01	0.039	0.001
OSI (H2O2/Trolox)	0.278	0.01	0.019	0.001

Note: Data are R (spearman).

Abbreviations: GJH, Generalized joint hypermobility; SPEA, Serum prolidase enzyme activity; TAC, Total antioxidant capacity; TOA, Total oxidant activity; OSI (Arbitrary Unite), Oxidative stress index; BG-score, Beighton score; PA-score, physical activity score.

Figure 2

Effect of gender on PA (A), Total Beighton score (0–9) (B), Hydroxyproline (C), and SPEA (IU/L) (D) *p < 0.01 (KruskaleWalis, Dunn’s post hoc test).**p < 0.001 (KruskaleWalis, Dunn’s post hoc test). Odds ratios were calculated to measure the relative odds of the occurrence of hypermobility in nine joints given the gender of participants (ie, females to males). The calculated Odds ratios were less than unity, whereas the closer the value to 1 is related to the lower the risk factor of a specific gender to the occurrence of GJH.

Figure 3

Effect of Gender on oxidative stress; TAC (A), TOA (B), OSI (C), and pain intensity (D) in control (n=120; 42.9%) and GJHS (n=160; 57.1%). *p < 0.01.**p < 0.001 ManneWhitney test. Odds ratios were calculated to measure the relative odds of the occurrence of hypermobility in nine joints given the gender of participants (ie, females to males). The calculated Odds ratios were less than unity, whereas the closer the value to 1 is related to the lower the risk factor of a specific gender to the occurrence of GJH.

Discussion

In this study, generalized Joint hypermobility (GJHS) was significantly reported in 57.14% of the study population (TB score: 4.9± 3.6), most of them are females. However, no association was found in comparison to adiposity markers (BMI, waist, hip, WHR, WhtR).

Similar to our study, the frequency of generalized hypermobility showed to be higher in girls (27.5%) compared to boys (10.6%) using the same threshold of more than 4 points in the Beighton scale.10 This study also supports the absence of any association between hypermobility and adiposity measured by body mass index.10 In addition, the prevalence of joint hypermobility was previously studied in a population of university students aged 18–25 years.43 In that study, generalized GJH was significantly reported in 25.9% (n=87) of the studied university students using Beighton scoring analysis. Matched to our study, females showd higher GJH (33%, n=73) compared to males (12.3, n=14).43 Moreover, the degree of joint hypermobility (13.1%) and hypermobility spectrum disorders (12.8%) were significantly reported in females more than males.43

In adult subjects, generalized hypermobility was also described in 50% of respondents most of them were of girls (59%) compared to (36%) in adult women, which supports the higher incidence of GJH among female younger ages.44 In contrast to our results, localized hypermobility was more frequent in younger ages than generalized hypermobility with low impact or association with the physical and mental component scores as well as the time dedicated to physical activity.45

In this study, the incidence of GJH significantly associated with poor physical activity, higher pain intensity. Previous studies showed that hypermobility was significantly associated with the sedentary lifestyle and musculoskeletal pain in adolescents, which is significantly considered as a two-fold increased risk factor among younger ages with hypermobility.46,47 It was proposed that the association with generalized joint hypermobility may be due to associated mechanical trauma which exerts pain and cellular muscular injury.48–50 In adults with GJH, joint pain and instability as predominant musculoskeletal conditions were frequently associated with GJH.29 This may be related to mechanical impact or repeated strain activity.29

In human and animal tissues, hydroxyproline and prolidase enzyme play an important role in collagen catabolism and synthesis.25–27,51–53 Prolidase activity, as well as hydroxyproline, are altered in fibrotic diseases, inflammatory and chronic pains which are significantly affected by oxidative stress.51,52 In physiological and pathophysiological processes, prolidase activity plays a potential role in cellular inflammation, angiogenesis, and joint hypermobility.54

In the present study, serum prolidase enzyme activity (SPEA; P=0.001) and hydroxyproline (P=0.001) were significantly increased in subjects with GJH compared to normal controls. The data showed that the differential expression of SPEAs along with hydroxyproline in patients with JHS is significantly associated with the dysregulation of collagen metabolism. Thus, more stress was exerted in all tissues of patients with JHS than normal controls, exhibiting higher prolidase enzyme activity, higher production of hydroxyproline, and overall dysregulation of collagen metabolism a reduction in the level of collagen. Cellular prolidase activity is essential in the degradation of proline- and hydroxyproline-containing amino peptides at the C terminus.55 Also, it was reported that higher prolidase activity is linked in such a way with an increment in the rate of collagen turnover.56 Although JHS is a collagen-associated disorder, a negative correlation between serum prolidase levels and the Beighton score was reported in children with JHS.57

The pathogenesis of many diseases, particularly musculoskeletal pain, chronic fatigue, and joint hypermobility, is shown to be associated with the overproduction and initiation of cellular reactive oxygen species (ROS).20–22

In this study, TAC, TOC, and OSI were evaluated as measures of oxidative stress in subjects with GJH and healthy controls. Serum TOA (P=0.001), and OSI (P=0.005) significantly increased, and serum TAC (P=0.001) significantly decreased in subjects with GJH compared to healthy controls. Previous studies showed that the catastrophic effects of hypermobility appeared in the increase of cellular tissue oxidative stress markers.19,20 Our results suggest a change in the cellular oxidative/antioxidative balance especially in patients with associated joint hypermobility.58,59

According to our findings, a high Beighton score is closely related to the tissue levels of prolidase, hydroxyproline, antioxidant activity, pain intensity, and poor physical activity in the female with GJH compared to men. In addition, GJH in female younger ages was significantly associated with collagen abnormalities of collagen fibril and matrix protein by changed prolidase, hydroxyproline, and antioxidant levels. Therefore, GJH subjects are followed up for JHS-associated problems.12,56

In conclusion, GJH was significantly reported in 57.1% of the study population, most of them are females. The incidence of GJH showed to be associated with poor physical activity, abnormal cellular oxidative stress, and collagen abnormalities measured by significant increase in change in cellular prolidase activity and hydroxyproline.