Abstract
Background
The aim was to assess serum magnesium levels in relation to prevalence of knee chondrocalcinosis in two population-based Chinese studies.
Methods
Data included in this analysis consisted of two population-based cross-sectional studies, i.e., the Xiangya Hospital Health Management Center Study and the Xiangya Osteoarthritis (XO) Study I. A bilateral knee anteroposterior radiograph was obtained from each subject. Radiographic knee chondrocalcinosis was present if there was definite linear cartilage calcification. Serum magnesium concentration was measured using the chemiluminescence method. We examined the relation of serum magnesium levels to prevalence of knee chondrocalcinosis using generalized estimating equations.
Results
The prevalence of knee chondrocalcinosis was 1.4% in the Xiangya Hospital Health Management Center Study (n = 12,631). Compared with the lowest tertile, the age, sex and body mass index (BMI)-adjusted odds ratios (ORs) of chondrocalcinosis were 0.59 (95% CI 0.40–0.87) and 0.49 (95% CI 0.33–0.72) in the second and the third tertiles of serum magnesium, respectively (P for trend <0.001). The prevalence of knee chondrocalcinosis in the XO Study I (n = 1316) was 4.1%. The age, sex and BMI-adjusted ORs of chondrocalcinosis were 0.67 (95% CI 0.34–1.30) in the second and 0.45 (95% CI 0.21–0.94) in the third tertile of serum magnesium when compared with the lowest tertile (P for trend = 0.030). Similar results were observed in men and women in both studies. Adjusting for additional potential confounders did not change the results materially.
Conclusions
Subjects with lower levels of serum magnesium, even within the normal range, had higher prevalence of knee chondrocalcinosis in a dose-response relationship manner, suggesting that magnesium may have a preventive or therapeutic potential for knee chondrocalcinosis.
Electronic supplementary material
The online version of this article (doi:10.1186/s13075-017-1450-6) contains supplementary material, which is available to authorized users.
Keywords: Chondrocalcinosis, Magnesium, Knee
Background
Calcium pyrophosphate deposition (CPPD) in articular fibrocartilage and hyaline cartilage, termed chondrocalcinosis, has been considered to be associated with both aging and osteoarthritis [1]. CPPD, together with basic calcium phosphate (BCP), are the two main components of calcium-containing crystals in cartilage in osteoarthritis [2, 3]. While most subjects with chondrocalcinosis have no clinical symptoms (asymptomatic CPPD) [4], CPPD may promote articular degeneration (osteoarthritis with CPPD) and traffic of the crystals from articular cartilage into the joint space; and thus can stimulate acute episodic crystal arthritis and can also lead to chronic inflammatory arthritis.
To date, only a few risk factors have been identified for the occurrence of chondrocalcinosis. Studies have shown that prevalence of chondrocalcinosis varied in different ethnic groups. For example, prevalence of chondrocalcinosis was much lower in Beijing Osteoarthritis Study participants (1.8% in men, 2.7% in women) than that in white subjects among the predominantly white participants in the Framingham Study (6.2% in men, 7.7% in women) [5]. Several studies also found that knee chondrocalcinosis is associated with low levels of serum magnesium [6–11]. For instance, patients with hypomagnesemia (e.g., poor parenteral nutrition, short bowel syndrome, Gitelman syndrome or familial heredity) had a much higher prevalence of chondrocalcinosis (up to 23.1%) [6–11]. However, these findings were often based on subjects with extremely low serum magnesium, and it remains unclear whether more modest variations of magnesium levels observed in the general population are associated with the prevalence of chondrocalcinosis. Such potential associations and their quantification would have an implication in public health and clinical practices.
To fill in this knowledge gap, we used data collected from two large population-based studies (i.e., Xiangya Hospital Health Management Center Study and Xiangya Osteoarthritis (XO) Study I) and examined the relation of serum magnesium levels with the prevalence of knee chondrocalcinosis and to determine the shape of the dose-response relationship between serum magnesium levels and the prevalence of knee chondrocalcinosis.
Methods
Study population
Xiangya Hospital Health Management Center Study
Subjects included in this study were residents living in Hunan, China, who were undergoing routine health examination at Xiangya Hospital, Central South University, China. The study design has been published elsewhere [12–14]. In brief, routine health checkup included anthropometric (e.g., height, weight, etc.), basic clinical examination (e.g., blood pressure, heart rate, etc.), and biochemical (e.g., blood routine examination, hepatic function, renal function, trace elements test, etc.) and imaging tests (e.g., chest radiography, weight-bearing bilateral anteroposterior knee radiography, etc.). Subjects included in the current analysis were those who: (1) had health checkup between October 2013 and December 2015; (2) were age ≥40 years; (3) underwent a serum magnesium test; and (4) had bilateral weight-bearing anteroposterior radiographs. All interviewers, clinical examiners and x-ray technicians were trained by the principal investigators (CZ and GL) before the study began.
Of 14,715 participants who underwent routine health examination, 2081 (14.1%) were excluded from the analysis for the following reasons: (1) age <40 years old (n = 1408); (2) low quality of weight-bearing anteroposterior knee radiographs (n = 63); (3) the Kellgren-Lawrence (K-L) [15] grades of both knees were 4 (n = 8); and (4) repeated health examinations in the same person during the study period (n = 604). Finally, 12,631 participants were included in the analysis.
Xiangya Osteoarthritis Study I (XO Study I)
Subjects included in this study were a randomly selected sample of residents, age ≥50 years, from eight rural mountainous communities of Longshan County [16], Hunan Province, for a study of osteoarthritis. All of the villages in the selected communities were listed in a random order. Beginning with the first village in the first community, all residents age ≥50 years were invited to participate in our study. The village-to-village recruitment continued until the number of subjects in that community met the predetermined quota according to the Sixth National Census Data of Longshan County (2010). Subjects were recruited at the site near their home and were transported to the hospital for interview and clinical examination between November 2015 and January 2016. Trained health professional interviewers administered a standardized questionnaire that focused on sociodemographic factors, lifestyle habits, joint symptoms, joint functions, quality of life, dietary intake, medication use and other potential risk factors for osteoarthritis. Clinical examination, laboratory testing and radiography were also conducted at the time of interview. All interviewers, clinical examiners and x-ray technicians were trained under the supervision of the study principal investigators (CZ and GL).
Of 1739 age-eligible (i.e., age ≥50 years) residents randomly selected in Longshan County, 270 (15.5%) subjects declined to participate the study. There was no significant difference in sex and age distribution between subjects who consented to participate and who declined (P = 0.42 and 0.47, respectively). Among 1469 participants in the XO Study I, 153 were excluded from the analysis because of: (1) history of lower limb surgery (n = 37); (2) history of pelvic surgery (n = 1); (3) lower extremity disability due to cerebrovascular diseases (n = 2) or spinal diseases (n = 2); (4) rheumatoid arthritis (n = 61); (5) unavailability of knee radiographs (n = 3); (6) low quality of weight-bearing anteroposterior radiographs of the knees (n = 1); (7) K-L grades of 4 (n = 5) in both knees; and (8) unavailability of a serum magnesium test (n = 41). Finally, 1316 participants were included in the analysis.
Blood biochemical analysis
All blood samples were drawn after a 12-hour overnight fast and were stored at 4 °C until analysis. The serum magnesium concentration was measured using the chemiluminescence method by Beckman Coulter AU 5800 (Beckman Coulter Inc., Brea, CA, USA). The inter-assay and intra-assay coefficients of variation were tested by low concentrations (0.60 mmol/L of serum magnesium) and high concentrations (1.00 mmol/L of serum magnesium) of standard human samples. The intra-assay coefficients of variation were 1.86% (0.60 mmol/L) and 1.65% (1.00 mmol/L) for serum magnesium, and the inter-assay coefficients of variation were 1.87% (0.60 mmol/L) and 1.70% (1.00 mmol/L) for serum magnesium. Measuring methods and reliability data of potential confounders (e.g., serum parathyroid hormone, iron, ferritin, total iron binding capacity, calcium, copper, zinc, phosphorus and vitamin D) are shown in Additional file 1.
Assessment of radiographic knee chondrocalcinosis
All radiographs were assessed by two orthopedic surgeons (TY and YLW) who were blinded to subjects’ clinical symptoms and biochemical test results. Radiographic chondrocalcinosis was defined as present when there was evidence of definite linear cartilage calcification in the knee [17]. Specifically, prior to starting the assessment, these two orthopedists re-read 200 radiographs from the Osteoarthritis Initiative (OAI) to calibrate their reading. Formal readings of batches of randomly selected radiographs did not start until the readers reached a high level of agreement with previous readings from OAI (the specific cutoff of simple kappa for inter-rater reliability was 0.70). During the formal reading, one batch of knee radiographs (100 radiographs) consisting of 10 previously read radiographs selected at random and 90 unread radiographs were mingled and read. For each batch, 90 unread radiographs were used to test inter-rater reliability and 10 previously read radiographs were used to test intra-rater reliability, respectively. Two readers both assessed all radiographs and inconsistencies were resolved through discussion. The kappa value for reliability readings of radiographs from Xiangya Hospital Health Management Center Study was 0.72 (95% CI 0.67 − 0.77) for inter-rater reliability and 0.76 (95% CI 0.67–0.85) for intra-rater reliability. The kappa value for reliability readings of radiographs from XO Study I was 0.75 (95% CI 0.68–0.83) for inter-rater reliability and 0.80 (95% CI 0.65–0.94) for intra-rater reliability.
Statistical analysis
Continuous data were expressed as the mean ± standard deviation, and categorical data were expressed as proportion (percentage). The serum magnesium concentration was classified into three categories based on the tertiles distribution in each study population (i.e., ≤ 0.86, 0.87–0.91 and ≥ 0.92 mmol/L in the Xiangya Hospital Health Management Center Study and ≤ 0.89, 0.90–0.95 and ≥ 0.96 mmol/L in the XO Study I). We calculated the sex-specific prevalence of chondrocalcinosis for each category of serum magnesium. We examined the association of serum magnesium categories and prevalence of chondrocalcinosis using generalized estimating equations (GEE) [18], adjusting for the potential confounders (knee specific analysis). Odds ratios (OR) and related 95% confidence intervals (95% CI) of chondrocalcinosis among different categories of serum magnesium were calculated using the PROC GENMOD procedure in SAS with binomial distribution and logit links, and the lowest tertile of serum magnesium was considered as the reference. We also calculated the OR and the related 95% CI by using the category ≤0.70 mmol/L (dividing the lowest category of serum magnesium into two categories: ≤0.70 mmol/L and 0.71–0.86 in the Xiangya Hospital Health Management Center Study, and the category ≤0.70 mmol/L and 0.71–0.89 in the XO Study I) as the reference group. Specifically, in the Xiangya Hospital Health Management Center Study we first adjusted for age (40–49, 50–59, 60–69, ≥70 years), body mass index (BMI) (<25, ≥25 kg/m2) and sex (male, female). Then we added each of the following covariates separately: serum iron (tertiles), serum ferritin (tertiles), serum calcium, serum zinc (tertiles), serum copper (tertiles), serum phosphorus (tertiles), education (high school or above, lower than high school) and occupation (manual labor, non-manual labor) in the regression model adjusted for age, sex and BMI. In the XO Study I, we first adjusted for age (50–59, 60–69, ≥70 years), BMI (<25, ≥25 kg/m2) and sex (male, female), and then added each of the following covariates separately in the regression models. These covariates included knee injury, serum parathyroid (tertiles), serum iron (tertiles), serum total iron binding capacity (tertiles), serum unsaturated iron binding capacity (tertiles), serum calcium (tertiles), serum 25(OH)D (tertiles), serum zinc (tertiles), serum copper (tertiles), serum phosphorus (tertiles), education (educated, non-educated) and occupation (farmer, non-farmer).
In addition, we performed sex-specific analysis to examine the levels of serum magnesium and prevalence of chondrocalcinosis. The dose-response relationship between levels of serum magnesium and the prevalence of knee chondrocalcinosis was evaluated by restricted cubic splines regression with two knots defined by the tertile distribution of serum magnesium [19, 20]. We also used the value 0.7 mmol/L as an additional knot, to evaluate the dose-response association between serum magnesium and the prevalence of knee chondrocalcinosis.
Results
Xiangya Hospital Health Management Center Study
Of the remaining 12631 participants from the initially included 14,715 participants, 43.0% (n = 5428) were women, the average age was 52.3 ± 8.0 years, and the mean BMI was 24.5 kg/m2 (SD = 3.3 kg/m2). The prevalence of knee chondrocalcinosis was 1.3% in men and 1.5% in women (Table 1).
Table 1.
Basic characteristics of the population in the Xiangya Hospital Health Management Center Study (n = 12,631)
Tertiles of serum Mg (mmol/L) | |||
---|---|---|---|
1 (≤0.86) | 2 (0.87–0.91) | 3 (≥0.92) | |
Number | 4633 | 3720 | 4278 |
Median Mg level (mmol/L) | 0.83 | 0.89 | 0.95 |
Sex (female, %) | 45.3 | 42.5 | 40.9 |
Age (years) | 52.1 ± 8.1 | 52.4 ± 8.1 | 52.5 ± 7.9 |
40–49 (%) | 43.5 | 41.1 | 39.5 |
50–59 (%) | 37.5 | 39.5 | 40.4 |
60–69 (%) | 15.2 | 15.9 | 17.2 |
≥70 (%) | 3.8 | 3.5 | 2.9 |
BMI (kg/m2) | 24.5 ± 3.4 | 24.4 ± 3.3 | 24.4 ± 3.2 |
<25 (%) | 57.6 | 59.2 | 58.6 |
≥25 (%) | 42.4 | 40.8 | 41.4 |
Serum iron (μmol/L) | 18.1 ± 6.5 | 18.4 ± 6.3 | 18.9 ± 6.5 |
Serum ferritin (μg/L) | 78.4 ± 67.3 | 78.3 ± 68.2 | 81.5 ± 62.8 |
Serum calcium (mmol/L) | 2.4 ± 0.1 | 2.4 ± 0.1 | 2.4 ± 0.1 |
Serum zinc (μmol/L) | 13.1 ± 2.5 | 13.5 ± 2.6 | 13.7 ± 3.1 |
Serum copper (μmol/L) | 16.1 ± 3.6 | 16.2 ± 3.4 | 16.8 ± 3.8 |
Serum phosphorus (mmol/L) | 1.2 ± 0.2 | 1.2 ± 0.2 | 1.2 ± 0.2 |
Education (high school or above, %) | 42.3 | 49.8 | 49.0 |
Occupation (manual labor, %) | 20.1 | 17.2 | 17.5 |
Mg magnesium, BMI body mass index
As shown in Fig. 1, serum magnesium, even within the normal range, was inversely associated with the OR for knee chondrocalcinosis in a dose-response-relationship manner (test for trend P = 0.03 for total population; P = 0.16 for the male population; P = 0.05 for the female population). The prevalence of knee chondrocalcinosis (knee-specific analysis) decreased from 1.3% in the lowest tertile of serum magnesium to 0.8% in the second, and 0.6% in the highest tertile of serum magnesium. Figure 2 showed the linear association between the serum magnesium and predicted prevalence of chondrocalcinosis. After adjusting for age, sex and BMI, the ORs for knee chondrocalcinosis were 0.59 (95% CI 0.40–0.87) in the middle and 0.49 (95% CI 0.33–0.72) in the highest tertile of serum magnesium, respectively, compared with the lowest tertile (P value for trend <0.001). Adding each of the potential confounders (e.g., serum iron, ferritin, calcium, zinc, copper and phosphorus) into the age, sex and BMI-adjusted model, or sensitivity analysis with exclusion of participants with chronic renal failure, also did not change the results materially. The association was also consistent in men and women (Table 2). When 0.70 mmol/L was used as an additional knot for spline regression, and the category ≤0.70 was used as reference group for GEE analysis, the results did not change significantly (see Additional file 2).
Fig. 1.
Dose-response relationship between serum magnesium (Mg) level and the odds ratio (OR) for knee chondrocalcinosis (CC) in the Xiangya Hospital Health Management Center Study. CI, confidence interval
Fig. 2.
Association between serum magnesium (Mg) and predicted prevalence of chondrocalcinosis (CC) analyzed by spline regression in the Xiangya Hospital Health Management Center Study
Table 2.
Association between serum Mg and knee chondrocalcinosis in the Xiangya Hospital Health Management Center Study (n = 12,631)
Tertiles of serum Mg (mmol/L) | P for trend | |||
---|---|---|---|---|
1 (≤0.86) | 2 (0.87–0.91) | 3 (≥0.92) | ||
Total | ||||
N for knee* | 9263 | 7438 | 8497 | - |
Knee chondrocalcinosis (%) | 1.3 | 0.8 | 0.6 | - |
Model 1 (95% CI) | 1.00 (reference) | 0.59 (0.40, 0.87) | 0.49 (0.33, 0.72) | <0.001 |
Model 2 (95% CI) | 1.00 (reference) | 0.59 (0.39, 0.89) | 0.53 (0.36, 0.78) | 0.001 |
Model 3 (95% CI) | 1.00 (reference) | 0.69 (0.36, 1.32) | 0.38 (0.20, 0.71) | 0.002 |
Model 4 (95% CI) | 1.00 (reference) | 0.60 (0.41, 0.89) | 0.48 (0.33, 0.71) | <0.001 |
Model 5 (95% CI) | 1.00 (reference) | 0.58 (0.39, 0.88) | 0.52 (0.35, 0.78) | 0.001 |
Model 6 (95% CI) | 1.00 (reference) | 0.57 (0.38, 0.86) | 0.49 (0.33, 0.73) | <0.001 |
Model 7 (95% CI) | 1.00 (reference) | 0.60 (0.41, 0.89) | 0.48 (0.33, 0.72) | <0.001 |
Model 8 (95% CI) | 1.00 (reference) | 0.83 (0.43, 1.58) | 0.46 (0.23, 0.90) | 0.021 |
Male | ||||
N for knee* | 5065 | 4279 | 5058 | - |
Knee chondrocalcinosis (%) | 1.4 | 0.7 | 0.5 | - |
Model 1 (95% CI) | 1.00 (reference) | 0.56 (0.33, 0.95) | 0.43 (0.25, 0.74) | 0.002 |
Model 2 (95% CI) | 1.00 (reference) | 0.54 (0.31, 0.96) | 0.45 (0.26, 0.78) | 0.003 |
Model 3 (95% CI) | 1.00 (reference) | 0.65 (0.27, 1.56) | 0.37 (0.16, 0.84) | 0.017 |
Model 4 (95% CI) | 1.00 (reference) | 0.57 (0.34, 0.98) | 0.42 (0.24, 0.73) | 0.002 |
Model 5 (95% CI) | 1.00 (reference) | 0.54 (0.30, 0.94) | 0.45 (0.26, 0.78) | 0.003 |
Model 6 (95% CI) | 1.00 (reference) | 0.54 (0.31, 0.94) | 0.41 (0.24, 0.72) | 0.001 |
Model 7 (95% CI) | 1.00 (reference) | 0.57 (0.33, 0.98) | 0.42 (0.24, 0.73) | 0.002 |
Model 8 (95% CI) | 1.00 (reference) | 0.92 (0.40, 2.11) | 0.51 (0.21, 1.24) | 0.134 |
Female | ||||
N for knee* | 4198 | 3159 | 3494 | - |
Knee chondrocalcinosis (%) | 1.2 | 0.9 | 0.8 | - |
Model 1 (95% CI) | 1.00 (reference) | 0.64 (0.36, 1.13) | 0.54 (0.30, 0.96) | 0.034 |
Model 2 (95% CI) | 1.00 (reference) | 0.65 (0.36, 1.19) | 0.60 (0.33, 1.09) | 0.094 |
Model 3 (95% CI) | 1.00 (reference) | 0.78 (0.29, 2.13) | 0.41 (0.14, 1.21) | 0.091 |
Model 4 (95% CI) | 1.00 (reference) | 0.65 (0.37, 1.15) | 0.54 (0.31, 0.96) | 0.035 |
Model 5 (95% CI) | 1.00 (reference) | 0.65 (0.36, 1.18) | 0.59 (0.33, 1.07) | 0.081 |
Model 6 (95% CI) | 1.00 (reference) | 0.65 (0.35, 1.19) | 0.60 (0.33, 1.10) | 0.096 |
Model 7 (95% CI) | 1.00 (reference) | 0.65 (0.36, 1.14) | 0.54 (0.30, 0.96) | 0.034 |
Model 8 (95% CI) | 1.00 (reference) | 0.67 (0.24, 1.88) | 0.37 (0.13, 1.12) | 0.073 |
Model 1 included age (40–49, 50–59, 60–69, ≥70 years), body mass index (BMI) (<25, ≥25 kg/m2) and sex (age and BMI for the sex subgroup) (n = 12,631)
Model 2 added serum iron (tertiles) on the basis of model 1 (n = 12,149)
Model 3 added serum ferritin (tertiles) on the basis of model 1 (n = 5113)
Model 4 added serum calcium (tertiles) on the basis of model 1 (n = 12,479)
Model 5 added serum zinc (tertiles) on the basis of model 1 (n = 12,154)
Model 6 added serum copper (tertiles) on the basis of model 1 (n = 12,153)
Model 7 added serum phosphorus (tertiles) on the basis of model 1 (n = 12490)
Model 8 added education (high school or above, lower than high school) and occupation (manual labor, non-manual labor) on the basis of model 1 (n = 5844)
*Five right knees and four left knees with Kellgren-Lawrence grade 4were excluded from analysis (data from the contralateral knees were retained)
Mg magnesium, N number, CI confidence interval
XO Study I
Of 1469 participants in the XO Study I, 1316 were included in the current analysis. About half (51.2%, n = 674) were women, average age was 62.9 ± 8.7 years and mean BMI was 24.2 kg/m2 (SD = 3.6). The prevalence of knee chondrocalcinosis was 3.1% in men and 5.0% in women (Table 3).
Table 3.
Basic characteristics of the study population in XO Study I (n = 1316)
Tertiles of serum Mg (mmol/L) | |||
---|---|---|---|
1 (≤0.89) | 2 (0.90-0.95) | 3 (≥0.96) | |
Number | 490 | 400 | 426 |
Median Mg level (mmol/L) | 0.85 | 0.92 | 1.00 |
Sex (female, %) | 48.6 | 50.3 | 55.2 |
Age (years) | 63.6 ± 8.9 | 63.3 ± 8.4 | 61.6 ± 8.5 |
50–59 (%) | 37.1 | 36.3 | 46.4 |
60–69 (%) | 36.3 | 40.0 | 34.9 |
≥70 (%) | 26.7 | 23.8 | 18.7 |
BMI (kg/m2) | 24.1 ± 3.5 | 24.3 ± 3.9 | 24.3 ± 3.4 |
< 25 (%) | 67.6 | 61.0 | 59.9 |
≥25 (%) | 32.4 | 39.0 | 40.1 |
Knee injury (yes, %) | 5.5 | 3.8 | 5.2 |
Serum PTH (μmol/L) | 52.5 ± 38.0 | 54.8 ± 23.1 | 51.3 ± 20.2 |
Serum iron (μmol/L) | 20.2 ± 8.6 | 19.8 ± 7.2 | 20.3 ± 7.8 |
Serum TIBC (μmol/L) | 58.3 ± 11.3 | 59.1 ± 11.6 | 60.2 ± 11.4 |
Serum UIBC (μmol/L) | 38.2 ± 13.5 | 39.5 ± 13.2 | 40.0 ± 13.1 |
Serum calcium (mmol/L) | 2.3 ± 0.1 | 2.3 ± 0.1 | 2.3 ± 0.1 |
Serum 25(OH)D (μg/L) | 25.8 ± 11.3 | 24.9 ± 9.9 | 25.9 ± 10.9 |
Serum zinc (μmol/L) | 17.3 ± 3.5 | 18.5 ± 3.7 | 19.9 ± 6.1 |
Serum copper (μmol/L) | 16.3 ± 3.2 | 16.4 ± 3.7 | 16.8 ± 3.5 |
Serum phosphorus (mmol/L) | 1.2 ± 0.2 | 1.2 ± 0.2 | 1.2 ± 0.2 |
Education (educated, %) | 70.2 | 66.5 | 67.8 |
Occupation (farmer, %) | 85.5 | 87.3 | 85.7 |
Mg magnesium, BMI body mass index, PTH parathyroid hormone, TIBC, total iron binding capacity, UIBC unsaturated iron-binding capacity
Serum magnesium, even within the normal range, was inversely associated with the OR for prevalence of knee chondrocalcinosis in a dose-response-relationship manner (Fig. 3, test for trend P = 0.06 for the total population; P = 0.25 for the male population; P = 0.14 for the female population). As shown in Table 4, the prevalence of knee chondrocalcinosis (knee-specific analysis) decreased from 4.8% in the lowest tertile of serum magnesium to 3.2% in the second, and 2.0% in the highest tertile of serum magnesium. Figure 4 shows the linear association between the serum magnesium and predicted prevalence of chondrocalcinosis. After adjusting for age, sex and BMI, compared with the lowest tertile, ORs for knee chondrocalcinosis were 0.67 (95% CI 0.34–1.30) in the middle and 0.45 (95% CI 0.21–0.94) in the highest tertile of serum magnesium, respectively (P value for trend = 0.030). Adding each of the potential confounders (e.g., knee injury, serum parathyroid hormone, iron, total iron binding capacity, unsaturated iron binding capacity, calcium, 25(OH)D, zinc, copper and phosphorus) into the age, sex and BMI-adjusted model, or sensitivity analysis with exclusion of participants with chronic renal failure or who used diuretics, also did not change the results materially. The association was consistent in men and women (Table 4). When 0.70 mmol/L was used as an additional knot for spline regression, and the category ≤0.70 was used as the reference group for GEE analysis, the results did no change significantly (see Additional file 2).
Fig. 3.
Dose-response relationship between serum magnesium (Mg) and the odds ratio (OR) for knee chondrocalcinosis (CC) in the XO Study I. CI, confidence interval
Table 4.
Association between serum Mg and knee chondrocalcinosis of study population in the XO Study I (n = 1316)
Tertiles of serum Mg (mmol/L) | P for trend | |||
---|---|---|---|---|
1 (≤0.89) | 2 (0.90–0.95) | 3 (≥0.96) | ||
Total | ||||
N for knee* | 977 | 793 | 848 | - |
Knee chondrocalcinosis (%) | 4.8 | 3.2 | 2.0 | - |
Model 1 (95% CI) | 1.00 (reference) | 0.67 (0.34, 1.30) | 0.45 (0.21, 0.94) | 0.030 |
Model 2 (95% CI) | 1.00 (reference) | 0.68 (0.35, 1.32) | 0.45 (0.22, 0.94) | 0.046 |
Model 3 (95% CI) | 1.00 (reference) | 0.73 (0.37, 1.47) | 0.41 (0.18, 0.93) | 0.028 |
Model 4 (95% CI) | 1.00 (reference) | 0.71 (0.35, 1.41) | 0.41 (0.18, 0.91) | 0.025 |
Model 5 (95% CI) | 1.00 (reference) | 0.73 (0.37, 1.46) | 0.42 (0.19, 0.94) | 0.032 |
Model 6 (95% CI) | 1.00 (reference) | 0.71 (0.36, 1.41) | 0.40 (0.18, 0.91) | 0.024 |
Model 7 (95% CI) | 1.00 (reference) | 0.67 (0.34, 1.30) | 0.45 (0.21, 0.94) | 0.030 |
Model 8 (95% CI) | 1.00 (reference) | 0.69 (0.35, 1.34) | 0.45 (0.21, 0.95) | 0.032 |
Model 9 (95% CI) | 1.00 (reference) | 0.71 (0.36, 1.42) | 0.43 (0.20, 0.95) | 0.020 |
Model 10 (95% CI) | 1.00 (reference) | 0.68 (0.35, 1.33) | 0.41 (0.19, 0.88) | 0.034 |
Model 11 (95% CI) | 1.00 (reference) | 0.68 (0.35, 1.32) | 0.45 (0.21, 0.95) | 0.033 |
Model 12 (95% CI) | 1.00 (reference) | 0.65 (0.33, 1.28) | 0.46 (0.21, 0.96) | 0.036 |
Male | ||||
N for knee* | 502 | 397 | 380 | - |
Knee chondrocalcinosis (%) | 3.8 | 2.5 | 1.1 | - |
Model 1 (95% CI) | 1.00 (reference) | 0.72 (0.26, 2.01) | 0.34 (0.08, 1.37) | 0.115 |
Model 2 (95% CI) | 1.00 (reference) | 0.75 (0.28, 2.05) | 0.34 (0.08, 1.38) | 0.114 |
Model 3 (95% CI) | 1.00 (reference) | 0.81 (0.29, 2.30) | 0.39 (0.09, 1.66) | 0.195 |
Model 4 (95% CI) | 1.00 (reference) | 0.78 (0.28, 2.21) | 0.39 (0.09, 1.62) | 0.184 |
Model 5 (95% CI) | 1.00 (reference) | 0.87 (0.31, 2.48) | 0.40 (0.10, 1.64) | 0.198 |
Model 6 (95% CI) | 1.00 (reference) | 0.84 (0.30, 2.35) | 0.39 (0.09, 1.60) | 0.183 |
Model 7 (95% CI) | 1.00 (reference) | 0.72 (0.26, 2.00) | 0.34 (0.09, 1.37) | 0.117 |
Model 8 (95% CI) | 1.00 (reference) | 0.65 (0.19, 2.25) | 0.47 (0.11, 1.88) | 0.254 |
Model 9 (95% CI) | 1.00 (reference) | 0.81 (0.27, 2.42) | 0.21 (0.04, 1.08) | 0.077 |
Model 10 (95% CI) | 1.00 (reference) | 0.72 (0.26, 2.00) | 0.17 (0.04, 0.83) | 0.024 |
Model 11 (95% CI) | 1.00 (reference) | 0.63 (0.23, 1.74) | 0.32 (0.08, 1.32) | 0.094 |
Model 12 (95% CI) | 1.00 (reference) | 0.67 (0.24, 1.93) | 0.34 (0.08, 1.38) | 0.116 |
Female | ||||
N for knee* | 475 | 396 | 468 | - |
Knee chondrocalcinosis (%) | 5.9 | 3.8 | 2.8 | - |
Model 1 (95% CI) | 1.00 (reference) | 0.64 (0.27, 1.52) | 0.50 (0.20, 1.23) | 0.128 |
Model 2 (95% CI) | 1.00 (reference) | 0.65 (0.27, 1.55) | 0.50 (0.20, 1.24) | 0.130 |
Model 3 (95% CI) | 1.00 (reference) | 0.66 (0.27, 1.65) | 0.40 (0.15, 1.10) | 0.069 |
Model 4 (95% CI) | 1.00 (reference) | 0.62 (0.25, 1.54) | 0.40 (0.14, 1.09) | 0.067 |
Model 5 (95% CI) | 1.00 (reference) | 0.66 (0.26, 1.63) | 0.42 (0.15, 1.17) | 0.090 |
Model 6 (95% CI) | 1.00 (reference) | 0.63 (0.25, 1.58) | 0.41 (0.15, 1.10) | 0.071 |
Model 7 (95% CI) | 1.00 (reference) | 0.64 (0.27, 1.53) | 0.50 (0.20, 1.23) | 0.126 |
Model 8 (95% CI) | 1.00 (reference) | 0.66 (0.27, 1.59) | 0.50 (0.20, 1.23) | 0.129 |
Model 9 (95% CI) | 1.00 (reference) | 0.66 (0.27, 1.59) | 0.53 (0.21, 1.33) | 0.174 |
Model 10 (95% CI) | 1.00 (reference) | 0.66 (0.27, 1.60) | 0.53 (0.21, 1.32) | 0.171 |
Model 11 (95% CI) | 1.00 (reference) | 0.68 (0.29, 1.64) | 0.52 (0.21, 1.28) | 0.149 |
Model 12 (95% CI) | 1.00 (reference) | 0.63 (0.26, 1.50) | 0.48 (0.19, 1.21) | 0.116 |
Model 1 included age (50–59, 60–69, ≥70 years), body mass index (BMI) (<25, ≥25 kg/m2) and sex (age and BMI for the sex subgroup) (n = 1316)
Model 2 added knee injury on the basis of model 1 (n = 1316)
Model 3 added serum parathyroid hormone (tertiles) on the basis of model 1 (n = 1250)
Model 4 added serum iron (tertiles) on the basis of model 1 (n = 1250)
Model 5 added serum total iron binding capacity (tertiles) on the basis of model 1 (n = 1241)
Model 6 added serum unsaturated iron binding capacity (tertiles) on the basis of model 1 (n = 1241)
Model 7 added serum calcium (tertiles) on the basis of model 1 (n = 1316)
Model 8 added serum 25(OH)D (tertiles) on the basis of model 1 (n = 1306)
Model 9 added serum zinc (tertiles) on the basis of model 1 (n = 1292)
Model 10 added serum copper (tertiles) on the basis of model 1 (n = 1292)
Model 11 added serum phosphorus (tertiles) on the basis of model 1 (n = 1316)
Model 12 added education (educated, non-educated) and occupation (farmer, non-farmer) on the basis of model 1 (n = 1316)
*Six right knees and eight left knees with Kellgren-Lawrence grade 4 were excluded from analysis (data from the contralateral knees were retained)
Mg magnesium, CI confidence interval
Fig. 4.
Association between serum magnesium (Mg) and predicted prevalence of chondrocalcinosis (CC) analyzed by spline regression in the XO Study I
Discussion
In two population-based cross-sectional studies, we found that serum magnesium, even within the normal range, was inversely associated with the prevalence of knee chondrocalcinosis in a dose-response-relationship manner. In both studies, prevalence of knee chondrocalcinosis among subjects in the highest tertile of serum magnesium was approximately 50% lower than those in the lowest tertile of serum magnesium. Such an association was consistent in men and women.
A few case-reports and case-series studies have shown that chondrocalcinosis often co-occurs with hypomagnesemia or with hypomagnesemia owing to bowel syndrome and Gitelmen syndrome [7–11]. For example, in 2007 Richette et al. compared serum magnesium and the prevalence of chondrocalcinosis in 72 patients with intestinal failure and 72 age-matched and sex-matched patients with back pain [6]. They found that serum magnesium was significantly lower (P < 0.001) among patients with intestinal failure (0.75 mmol/L) than those with back pain (0.81 mmol/L). On the other hand, the prevalence of chondrocalcinosis was sevenfold higher (P = 0.006) among patients with intestinal failure (16.6%) than among patients with back pain (2.7%). Furthermore, serum magnesium, globular magnesium and 24-hour urinary magnesium were significantly lower in patients with intestinal failure than those with back pain.
Several in vivo studies have demonstrated that decreasing magnesium intake induces calcification formation in different animal models [21–24]. However, few in vivo studies, if any, have examined the effect of magnesium supplementation or intake on the inhibition of cartilage calcification. In a double-blind randomized clinical trial assessing the effect of a magnesium carbonate supplement among patients with chronic pyrophosphate arthropathy, there was no significant difference in the radiographic appearance of chondrocalcinosis between the treatment and placebo groups; however, the treatment group had a uniform trend towards improvement in pain, stiffness, effusion, tenderness and overall subjective and objective assessment compared with the placebo group over a 6-month period [25]. This finding could be explained by the physiologic N-methyl-D-aspartate (NMDA) receptor antagonist property of magnesium, and consequently, increasing serum magnesium level may reduce the incidence of symptomatic calcium-deposition-related diseases [26]. Furthermore, in a large population-based study, Zhang et al. reported that the prevalence of knee chondrocalcinosis was much lower among participants in the Beijing Osteoarthritis Study than in their counterparts in the Framingham Study (age-standardized prevalence ratios = 0.34 in men and 0.43 in women); however, no difference in the levels of magnesium in the tap drinking water was found between the two cities [5].
Several mechanisms linking magnesium and chondrocalcinosis have been postulated [27]. These include that high serum magnesium may inhibit the formation of calcium phosphate apatite and of calcium-acidic phospholipid-phosphate complexes [28, 29], may increase the expression of calcification inhibitors (e.g., matrix gla protein, osteopontin, and bone morphogenetic protein 7), may decrease the expression of calcification promoters (e.g., alkaline phosphatase, bone morphogenetic protein 2 and runt-related transcription factor 2) and apoptosis [30–33], may activate calcium-sensing receptors [34–36], modulate vitamin D receptor, fibroblast growth factor-1 receptor and its co-receptor klotho [36], or may block various calcium channels to impair excessive calcium uptake [37, 38].
Several characteristics of our study are noteworthy. First, compared with other studies, the sample size of the current two studies was relatively large, and the prevalence of knee chondrocalcinosis found in these two studies (1.4% in the Xiangya Hospital Health Management Center Study and 4.1% in the XO Study I) was similar to another population-based study (i.e., the Beijing Osteoarthritis Study) conducted among residents in Beijing (1.8% in men and 2.7% in women) [5]. These findings suggest that the prevalence of knee chondracalcinosis is lower than in the predominantly white participants in the Framingham Study [5]. In addition, we also showed that prevalence of hypomagnesemia appeared to be lower among the participants in the current two studies than that among subjects in the Rotterdam Study [39]. Second, an inverse association between serum magnesium levels and prevalence of knee chondrocalcinosis was found in our two study populations and across the sex categories, and the magnitude of association was also quite similar when several potential confounders (e.g., knee injury, serum parathyroid hormone, iron, ferritin, total iron binding capacity, unsaturated iron binding capacity, calcium, copper, zinc, phosphorus and 25(OH)D) was added into the age, sex and BMI adjusted model, respectively, indicating the robustness of our findings. Third, we also showed that even within the normal range of serum magnesium, the levels of magnesium were still inversely associated with the prevalence of knee chondrocalcinosis in a dose-response-relationship manner. This finding suggests that increased serum magnesium not only among subjects with hypomagnesium but also among subjects who were within the normal range of magnesium may help to reduce the risk of chondrocalcinosis.
The prevalence of radiographic chondrocalcinosis in the XO Study I was two to three times higher than that in the Xiangya Hospital Health Management Center Study. Such a difference may be due to the age difference between the two study populations in that the average age in the XO Study I (62.9 ± 8.7 years) was almost 10 years older than that in the Xiangya Hospital Health Management Center Study (52.3 ± 8.0 years). While the age distribution is similar in the XO Study I, and the Beijing Osteoarthritis Study restricted participants to 60 years and older, the prevalence in the XO Study I was higher than in the Beijing Osteoarthritis study. This may because of the heavy physical labor (82.4% of men and 91.6% of women were farmers) and frequent climbing (mountain area) of participants in the XO Study I, which of course warrants further study for confirmation.
Our study has some limitations. First, this is a cross-sectional study, thus, we cannot be certain that the causal relationship between serum levels of magnesium and prevalence of knee chondrocalcinosis. Second, we did not assess the dietary intake of magnesium in relation to the prevalence of knee chondrocalcinosis in the present study. While previous studies have shown that dietary intake of magnesium is strongly associated with the serum levels of magnesium [40, 41], studies of dietary intake of magnesium and risk of knee chondrocalcinosis are warranted. Third, we did not use other views of the knee (e.g., lateral or skyline) to ascertain radiographic choncrocalcinosis; thus, it may have resulted in underestimation of the prevalence of radiographic CPPD. However, we postulate that such misclassification of the prevalence of knee CPPD is likely to be non-differential; thus the association between serum magnesium levels and prevalence of knee radiographic CPPD may be even stronger than we have observed. In addition, as almost half of cases of wrist, hip, symphysis pubis, and metacarpophalangeal joint chondrocalcinosis occur without knee chondrocalcinosis [42], the examination of the association of magnesium levels with a predisposition to form CPPD crystals would ideally include radiographs from other joint sites. Fourth, a synovial fluid test taken from the joint should be more sensitive and specific to detect crystals than radiographs, and some of the articular CPPD deposition (alone or mixed with BCP [2, 3]) may be too small to be detected on radiographs; thus, our estimate of the prevalence of knee chondrocalcinosis is likely to be underestimated. However, as we stated previously, that prevalence estimate of knee chondrocalcinosis was similar to another study [5] conducted in Chinese subjects that used the same protocol to assess the presence of knee chondrocalcinosis. The proportion of persons with chondrocalcinosis identified on radiographs who develop clinical symptoms related to this is small. Fifth, data on some other potential confounders (e.g., osteoporosis and use of bisphosphonates) were not collected in either study and could impact the results. We performed sensitivity analysis to assess to what extent the residual confounding could explain the association, using the E-value proposed by VanderWeele and Ding [43]. The observed OR of 0.49 for prevalence with the highest levels of magnesium in Xiangya Hospital Health Management Center Study could be explained if an OR of an unmeasured confounder with either high serum magnesium or with the prevalence of chondrocalcinosis is at least 3.50, which is above and beyond the measured confounders. There should be a similar magnitude of residual confounders to explain the findings in the XO Study I. To our best knowledge we are unaware that there is such a strong confounder between magnesium and the prevalence of chondrocalcinosis.
Our study findings have potential clinical implications. The existing in vivo and in vitro studies showed that magnesium supplementation may have a protective effect on cartilage or chondrocytes [44]. Two large epidemiological studies conducted in twins and in the general population reported an inverse association between serum magnesium levels and radiographic knee osteoarthritis [12, 45]. Furthermore, several studies have reported that chondrocalcinosis may be a potential risk factor for osteoarthritis [46–52]. Thus, it is not unreasonable to speculate that increasing serum magnesium may be beneficial in decreasing the risk of osteoarthritis through reducing the incidence of chondrocalcinosis. Future studies are warranted to test this hypothesis.
Conclusions
We found that low serum magnesium, even within the normal range, was associated with higher prevalence of knee chondrocalcinosis in a dose-response-relationship manner. Future studies of dietary intake, including magnesium supplementary intake, on the risk of chondrocalcinosis are warranted.
Additional files
Measuring methods and reliability data of potential confounders. (DOCX 15 kb)
Association between serum Mg and knee chondrocalcinosis in the Xiangya Hospital Health Management Center Study (n = 12,631). Table S2. Association between serum Mg and knee chondrocalcinosis in the XO Study I (n = 1316). Figure S1. Association between serum Mg and OR of CC analyzed by spline regression (3 knots, 0,7 as reference) in the Xiangya Hospital Health Management Center Study (P = 0.049). Mg, magnesium; CC, chondrocalcinosis; OR, odds ratio; CI, confidence interval. Figure S2. Association between serum Mg and OR of CC analyzed by spline regression (3 knots, 0,7 as reference) in the XO Study I (P = 0.060). Mg, magnesium; CC, chondrocalcinosis; OR, odds ratio; CI, confidence interval. (DOCX 1720 kb)
Acknowledgements
The authors appreciate the support of Orthopedics Research Institute of Xiangya Hospital.
Funding
This work was supported by the National Natural Science Foundation of China (No. 81472130, 81672225, 81601941, 81501923, 81772413, 81702207, 81702206), the VA Research Service and National Institutes of Health (NIH) (P0AG07996), the Postdoctoral Science Foundation of Central South University (182130), the Young Investigator Grant of Xiangya Hospital, Central South University (2016Q03, 2016Q06), the Scientific Research Project of the Development and Reform Commission of Hunan Province ([2013]1199), the Scientific Research Project of Science and Technology Office of Hunan Province (2013SK2018), the Key Research and Development Program of Hunan Province (2016JC2038), the Xiangya Clinical Big Data System Construction Project of Central South University (No. 45), the Clinical Scientific Research Foundation of Xiangya Hospital, Central South University (2015 L03), the Fundamental Research Funds for the Central Universities of Central South University (2015zzts112), the Postdoctoral Science Foundation of Central South University (182130), the Young Investigator Grant of Xiangya Hospital, Central South University (2016Q03, 2016Q06) and the Natural Science Foundation of Hunan Province (2017JJ3491, 2017JJ3492).
Availability of data and materials
Data can be requested from the corresponding author.
Abbreviations
- BCP
Basic calcium phosphate
- BMI
Body mass index
- CPPD
Calcium pyrophosphate deposition
- K-L
Kellgren-Lawrence
- NMDA
N-methyl-D-aspartate
- OAI
Osteoarthritis Initiative
- ORs
Odds ratios
- XO Study I
Xiangya Osteoarthritis Study I
Authors’ contributions
GHL, CZ and JW had full access to the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis. GHL, CZ and JW conceived the study. GHL, CZ and JW were responsible for conception and design of the study and drafted the manuscript. CZ, JW, TY, YLW, DXX, HL, YC and LJL contributed to data collection. CZ, TY, YLW, DXX, LJL and GHL contributed to assessment of radiographs. JW contributed to preparation and data analysis. RT, HKC, DJH, YQZ and GHL contributed to revision of the manuscript. All the authors contributed to the interpretation of the data and critically reviewed the manuscript for publication. All authors read and approved the final manuscript.
Authors’ information
Not applicable.
Ethics approval and consent to participate
Both studies were approved by the Ethics Committee of Xiangya Hospital, Central South University (reference numbers: 201312459 and 201510506), and informed consent was obtained from all study participants.
Consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Footnotes
Electronic supplementary material
The online version of this article (doi:10.1186/s13075-017-1450-6) contains supplementary material, which is available to authorized users.
Contributor Information
Chao Zeng, Email: zengchao19880505@sina.com.
Jie Wei, Email: weijie_612@hotmail.com.
Robert Terkeltaub, Email: rterkeltaub@ucsd.edu.
Tuo Yang, Email: 693673464@qq.com.
Hyon K. Choi, Email: HCHOI@partners.org
Yi-lun Wang, Email: wyl4425141@yahoo.com.cn.
Dong-xing Xie, Email: 491703175@qq.com.
David J. Hunter, Email: david.hunter@sydney.edu.au
Yuqing Zhang, Email: yuqing@bu.edu.
Hui Li, Email: 397969391@qq.com.
Yang Cui, Email: 834492077@qq.com.
Liang-jun Li, Email: 57663587@qq.com.
Guang-hua Lei, Phone: 0731-84327326, Email: lei_guanghua@csu.edu.cn.
References
- 1.Zhang W, Doherty M, Bardin T, Barskova V, Guerne PA, Jansen TL, Leeb BF, Perez-Ruiz F, Pimentao J, Punzi L, et al. European League Against Rheumatism recommendations for calcium pyrophosphate deposition. Part I: terminology and diagnosis. Ann Rheum Dis. 2011;70(4):563–70. doi: 10.1136/ard.2010.139105. [DOI] [PubMed] [Google Scholar]
- 2.Fuerst M, Bertrand J, Lammers L, Dreier R, Echtermeyer F, Nitschke Y, Rutsch F, Schafer FK, Niggemeyer O, Steinhagen J, et al. Calcification of articular cartilage in human osteoarthritis. Arthritis Rheum. 2009;60(9):2694–703. doi: 10.1002/art.24774. [DOI] [PubMed] [Google Scholar]
- 3.Nguyen C, Bazin D, Daudon M, Chatron-Colliet A, Hannouche D, Bianchi A, Come D, So A, Busso N, Busso N, et al. Revisiting spatial distribution and biochemical composition of calcium-containing crystals in human osteoarthritic articular cartilage. Arthritis Res Ther. 2013;15(5):R103. doi: 10.1186/ar4283. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Rosenthal AK, Ryan LM. Calcium pyrophosphate deposition disease. N Engl J Med. 2016;374(26):2575–84. doi: 10.1056/NEJMra1511117. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Zhang Y, Terkeltaub R, Nevitt M, Xu L, Neogi T, Aliabadi P, Niu J, Felson DT. Lower prevalence of chondrocalcinosis in Chinese subjects in Beijing than in white subjects in the United States: The Beijing Osteoarthritis Study. Arthritis Rheum. 2006;54(11):3508–12. doi: 10.1002/art.22189. [DOI] [PubMed] [Google Scholar]
- 6.Richette P, Ayoub G, Lahalle S, Vicaut E, Badran A, Joly F, Messing B, Bardin T. Hypomagnesemia associated with chondrocalcinosis: a cross-sectional study. Arthritis Rheum. 2007;57(8):1496–501. doi: 10.1002/art.23106. [DOI] [PubMed] [Google Scholar]
- 7.Ellman MH. Images in clinical medicine. Chondrocalcinosis and hypomagnesemia. N Engl J Med. 2009;360(1):71. doi: 10.1056/NEJMicm050004. [DOI] [PubMed] [Google Scholar]
- 8.Milazzo SC, Ahern MJ, Cleland LG, Henderson DR. Calcium pyrophosphate dihydrate deposition disease and familial hypomagnesemia. J Rheumatol. 1981;8(5):767–71. [PubMed] [Google Scholar]
- 9.Smilde TJ, Haverman JF, Schipper P, Hermus AR, van Liebergen FJ, Jansen JL, Kloppenborg PW, Koolen MI. Familial hypokalemia/hypomagnesemia and chondrocalcinosis. J Rheumatol. 1994;21(8):1515–9. [PubMed] [Google Scholar]
- 10.Richette P, Ayoub G, Bardin T, Bouvet S, Orcel P, Badran AM. Hypomagnesemia and chondrocalcinosis in short bowel syndrome. J Rheumatol. 2005;32(12):2434–6. [PubMed] [Google Scholar]
- 11.Ea HK, Blanchard A, Dougados M, Roux C. Chondrocalcinosis secondary to hypomagnesemia in Gitelman's syndrome. J Rheumatol. 2005;32(9):1840–2. [PubMed] [Google Scholar]
- 12.Zeng C, Wei J, Li H, Yang T, Zhang FJ, Pan D, Xiao YB, Yang TB, Lei GH. Relationship between serum magnesium concentration and radiographic knee osteoarthritis. J Rheumatol. 2015;42(7):1231–6. doi: 10.3899/jrheum.141414. [DOI] [PubMed] [Google Scholar]
- 13.Li H, Zeng C, Wei J, Yang T, Gao SG, Luo W, Li YS, Xiong YL, Xiao WF, Lei GH. Associations of dietary and serum magnesium with serum high-sensitivity C-reactive protein in early radiographic knee osteoarthritis patients. Mod Rheumatol. 2017;27(4):669–74. doi: 10.1080/14397595.2016.1230296. [DOI] [PubMed] [Google Scholar]
- 14.Zeng C, Wang YL, Wei J, Yang T, Li H, Xie DX, Li YS, Lei GH. Association between low serum magnesium concentration and hyperuricemia. Magnes Res. 2015;28(2):56–63. doi: 10.1684/mrh.2015.0384. [DOI] [PubMed] [Google Scholar]
- 15.Kellgren JH, Lawrence JS. Radiological assessment of osteo-arthrosis. Ann Rheum Dis. 1957;16(4):494–502. doi: 10.1136/ard.16.4.494. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.The gate-way website of the Longshan County People Government. http://www.xxls.gov.cn. Accessed 1 May 2015.
- 17.Abhishek A, Doherty S, Maciewicz R, Muir K, Zhang W, Doherty M. Chondrocalcinosis is common in the absence of knee involvement. Arthritis Res Ther. 2012;14(5):R205. doi: 10.1186/ar4043. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Zhang Y, Glynn RJ, Felson DT. Musculoskeletal disease research: should we analyze the joint or the person? J Rheumatol. 1996;23(7):1130. [PubMed] [Google Scholar]
- 19.Rothman KJ, Moore LL, Singer MR, Nguyen US, Mannino S, Milunsky A. Teratogenicity of high vitamin A intake. N Engl J Med. 1995;333(21):1369–73. doi: 10.1056/NEJM199511233332101. [DOI] [PubMed] [Google Scholar]
- 20.Schöttker B, Herder C, Rothenbacher D, Perna L, Müller H, Brenner H. Serum 25-hydroxyvitamin D levels and incident diabetes mellitus type 2: a competing risk analysis in a large population-based cohort of older adults. Eur J Epidemiol. 2013;28(3):267–75. doi: 10.1007/s10654-013-9769-z. [DOI] [PubMed] [Google Scholar]
- 21.Britton WM, Stokstad EL. Aorta and other soft tissue calcification in the magnesium-deficient rat. J Nutr. 1970;100(12):1501–5. doi: 10.1093/jn/100.12.1501. [DOI] [PubMed] [Google Scholar]
- 22.Planells E, Llopis J, Peran F, Aranda P. Changes in tissue calcium and phosphorus content and plasma concentrations of parathyroid hormone and calcitonin after long-term magnesium deficiency in rats. J Am Coll Nutr. 1995;14(3):292–8. doi: 10.1080/07315724.1995.10718510. [DOI] [PubMed] [Google Scholar]
- 23.Altura BT, Brust M, Bloom S, Barbour RL, Stempak JG, Altura BM. Magnesium dietary intake modulates blood lipid levels and atherogenesis. Proc Natl Acad Sci U S A. 1990;87(5):1840–4. doi: 10.1073/pnas.87.5.1840. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.King JL, Miller RJ, Blue JP, O'Brien WD, Erdman JW. Inadequate dietary magnesium intake increases atherosclerotic plaque development in rabbits. Nutr Res. 2009;29(5):343–9. doi: 10.1016/j.nutres.2009.05.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Doherty M, Dieppe P. Double blind, placebo controlled trial of magnesium carbonate in chronic pyrophosphate arthropathy. Ann Rheum Dis. 1983;42(Suppl 1):106. doi: 10.1136/ard.42.Suppl_1.106. [DOI] [Google Scholar]
- 26.Tramer MR, Schneider J, Marti RA, Rifat K. Role of magnesium sulfate in postoperative analgesia. Anesthesiology. 1996;84(2):340–7. doi: 10.1097/00000542-199602000-00011. [DOI] [PubMed] [Google Scholar]
- 27.Massy ZA, Drueke TB. Magnesium and cardiovascular complications of chronic kidney disease. Nat Rev Nephrol. 2015;11(7):432–42. doi: 10.1038/nrneph.2015.74. [DOI] [PubMed] [Google Scholar]
- 28.Cheng PT, Grabher JJ, LeGeros RZ. Effects of magnesium on calcium phosphate formation. Magnesium. 1988;7(3):123–32. [PubMed] [Google Scholar]
- 29.Lagier R, Baud CA. Magnesium whitlockite, a calcium phosphate crystal of special interest in pathology. Pathol Res Pract. 2003;199(5):329–35. doi: 10.1078/0344-0338-00425. [DOI] [PubMed] [Google Scholar]
- 30.Louvet L, Buchel J, Steppan S, Passlick-Deetjen J, Massy ZA. Magnesium prevents phosphate-induced calcification in human aortic vascular smooth muscle cells. Nephrol Dial Transplant. 2013;28(4):869–78. doi: 10.1093/ndt/gfs520. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Kircelli F, Peter ME, Sevinc Ok E, Celenk FG, Yilmaz M, Steppan S, Asci G, Ok E, Passlick-Deetjen J. Magnesium reduces calcification in bovine vascular smooth muscle cells in a dose-dependent manner. Nephrol Dial Transplant. 2012;27(2):514–21. doi: 10.1093/ndt/gfr321. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Montezano AC, Zimmerman D, Yusuf H, Burger D, Chignalia AZ, Wadhera V, van Leeuwen FN, Touyz RM. Vascular smooth muscle cell differentiation to an osteogenic phenotype involves TRPM7 modulation by magnesium. Hypertension. 2010;56(3):453–62. doi: 10.1161/HYPERTENSIONAHA.110.152058. [DOI] [PubMed] [Google Scholar]
- 33.De Schutter TM, Behets GJ, Geryl H, Peter ME, Steppan S, Gundlach K, Passlick-Deetjen J, D'Haese PC, Neven E. Effect of a magnesium-based phosphate binder on medial calcification in a rat model of uremia. Kidney Int. 2013;83(6):1109–17. doi: 10.1038/ki.2013.34. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Henaut L, Boudot C, Massy ZA, Lopez-Fernandez I, Dupont S, Mary A, Drueke TB, Kamel S, Brazier M, Mentaverri R. Calcimimetics increase CaSR expression and reduce mineralization in vascular smooth muscle cells: mechanisms of action. Cardiovasc Res. 2014;101(2):256–65. doi: 10.1093/cvr/cvt249. [DOI] [PubMed] [Google Scholar]
- 35.Ivanovski O, Nikolov IG, Joki N, Caudrillier A, Phan O, Mentaverri R, Maizel J, Hamada Y, Nguyen-Khoa T, Fukagawa M, et al. The calcimimetic R-568 retards uremia-enhanced vascular calcification and atherosclerosis in apolipoprotein E deficient (apoE−/−) mice. Atherosclerosis. 2009;205(1):55–62. doi: 10.1016/j.atherosclerosis.2008.10.043. [DOI] [PubMed] [Google Scholar]
- 36.Rodriguez-Ortiz ME, Canalejo A, Herencia C, Martinez-Moreno JM, Peralta-Ramirez A, Perez-Martinez P, Navarro-Gonzalez JF, Rodriguez M, Peter M, Gundlach K, et al. Magnesium modulates parathyroid hormone secretion and upregulates parathyroid receptor expression at moderately low calcium concentration. Nephrol Dial Transplant. 2014;29(2):282–9. doi: 10.1093/ndt/gft400. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Altura BM, Altura BT, Carella A, Gebrewold A, Murakawa T, Nishio A. Mg2 + -Ca2+ interaction in contractility of vascular smooth muscle: Mg2+ versus organic calcium channel blockers on myogenic tone and agonist-induced responsiveness of blood vessels. Can J Physiol Pharmacol. 1987;65(4):729–45. doi: 10.1139/y87-120. [DOI] [PubMed] [Google Scholar]
- 38.Zhang J, Berra-Romani R, Sinnegger-Brauns MJ, Striessnig J, Blaustein MP, Matteson DR. Role of Cav1.2 L-type Ca2+ channels in vascular tone: effects of nifedipine and Mg2+ AJP Heart Circ Physiol. 2006;292(1):H415–25. doi: 10.1152/ajpheart.01214.2005. [DOI] [PubMed] [Google Scholar]
- 39.Liamis G, Rodenburg EM, Hofman A, Zietse R, Stricker BH, Hoorn EJ. Electrolyte disorders in community subjects: prevalence and risk factors. Am J Med. 2013;126(3):256–63. doi: 10.1016/j.amjmed.2012.06.037. [DOI] [PubMed] [Google Scholar]
- 40.Peacock JM, Folsom AR, Arnett DK, Eckfeldt JH, Szklo M. Relationship of serum and dietary magnesium to incident hypertension: the Atherosclerosis Risk in Communities (ARIC) Study. Ann Epidemiol. 1999;9(3):159–65. doi: 10.1016/S1047-2797(98)00040-4. [DOI] [PubMed] [Google Scholar]
- 41.Akizawa Y, Koizumi S, Itokawa Y, Ojima T, Nakamura Y, Tamura T, Kusaka Y. Daily magnesium intake and serum magnesium concentration among Japanese people. J Epidemiol. 2008;18(4):151–9. doi: 10.2188/jea.JE2007381. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Abhishek A, Doherty S, Maciewicz RA, Muir K, Zhang W, Doherty M. Does chondrocalcinosis associate with a distinct radiographic phenotype of osteoarthritis in knees and hips? A case-control study. Arthritis Care Res. 2016;68(2):211–6. doi: 10.1002/acr.22652. [DOI] [PubMed] [Google Scholar]
- 43.VanderWeele TJ, Ding P. Sensitivity analysis in observational research: introducing the E-value. Ann Intern Med. 2017;167(4):268–274. doi: 10.7326/M16-2607. [DOI] [PubMed] [Google Scholar]
- 44.Zeng C, Li Y, Wei J, Xie D, Xie X, Li L, Gao S, Luo W, Xiong Y, Xiao W, et al. Analgesic effect and safety of single-dose intra-articular magnesium after arthroscopic surgery: a systematic review and meta-analysis. Sci Rep-Uk. 2016;6:38024. doi: 10.1038/srep38024. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Hunter DJ. Evidence of altered bone turnover, vitamin D and calcium regulation with knee osteoarthritis in female twins. Rheumatology. 2003;42(11):1311–6. doi: 10.1093/rheumatology/keg373. [DOI] [PubMed] [Google Scholar]
- 46.Felson DT. The epidemiology of knee osteoarthritis: results from the Framingham Osteoarthritis Study. Semin Arthritis Rheum. 1990;20(3 Suppl 1):42–50. doi: 10.1016/0049-0172(90)90046-I. [DOI] [PubMed] [Google Scholar]
- 47.Ledingham J, Dawson S, Preston B, Milligan G, Doherty M. Radiographic patterns and associations of osteoarthritis of the hip. Ann Rheum Dis. 1992;51(10):1111–6. doi: 10.1136/ard.51.10.1111. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Ledingham J, Regan M, Jones A, Doherty M. Radiographic patterns and associations of osteoarthritis of the knee in patients referred to hospital. Ann Rheum Dis. 1993;52(7):520–6. doi: 10.1136/ard.52.7.520. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Sanmarti R, Kanterewicz E, Pladevall M, Panella D, Tarradellas JB, Gomez JM. Analysis of the association between chondrocalcinosis and osteoarthritis: a community based study. Ann Rheum Dis. 1996;55(1):30–3. doi: 10.1136/ard.55.1.30. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Neame RL, Carr AJ, Muir K, Doherty M. UK community prevalence of knee chondrocalcinosis: evidence that correlation with osteoarthritis is through a shared association with osteophyte. Ann Rheum Dis. 2003;62(6):513–8. doi: 10.1136/ard.62.6.513. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Musacchio E, Ramonda R, Perissinotto E, Sartori L, Hirsch R, Punzi L, Zambon S, Corti M, Baggio G, Manzato E, et al. The impact of knee and hip chondrocalcinosis on disability in older people: the ProVA Study from northeastern Italy. Ann Rheum Dis. 2011;70(11):1937–43. doi: 10.1136/ard.2011.150508. [DOI] [PubMed] [Google Scholar]
- 52.Abhishek A, Doherty S, Maciewicz R, Muir K, Zhang W, Doherty M. Evidence of a systemic predisposition to chondrocalcinosis and association between chondrocalcinosis and osteoarthritis at distant joints: a cross-sectional study. Arthritis Care Res. 2013;65(7):1052–8. doi: 10.1002/acr.21952. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Measuring methods and reliability data of potential confounders. (DOCX 15 kb)
Association between serum Mg and knee chondrocalcinosis in the Xiangya Hospital Health Management Center Study (n = 12,631). Table S2. Association between serum Mg and knee chondrocalcinosis in the XO Study I (n = 1316). Figure S1. Association between serum Mg and OR of CC analyzed by spline regression (3 knots, 0,7 as reference) in the Xiangya Hospital Health Management Center Study (P = 0.049). Mg, magnesium; CC, chondrocalcinosis; OR, odds ratio; CI, confidence interval. Figure S2. Association between serum Mg and OR of CC analyzed by spline regression (3 knots, 0,7 as reference) in the XO Study I (P = 0.060). Mg, magnesium; CC, chondrocalcinosis; OR, odds ratio; CI, confidence interval. (DOCX 1720 kb)
Data Availability Statement
Data can be requested from the corresponding author.