Abstract
Pentosidine (PEN) and carboxymethyl-lysine (CML) are well-recognized advanced glycation end products (AGEs). However, how these AGEs affect the pathophysiology of osteoporosis and osteoporotic fractures remains controversial. This cross-sectional study aimed to investigate the associations of PEN and CML with bone markers, bone mineral density (BMD), and osteoporotic fractures in postmenopausal women from the Nagano Cohort Study. A total of 444 Japanese postmenopausal outpatients (mean ± standard deviation age: 69.8 ± 10.2 years) were enrolled after the exclusion of patients with acute or severe illness or secondary osteoporosis. The relationships among urinary PEN and serum CML levels, various bone markers, lumbar and hip BMD, and prevalent vertebral and long-bone fractures were evaluated. PEN associated significantly with prevalent vertebral fracture after adjustment for other confounders (odds ratio [OR] 1.59, 95% confidence interval [CI] 1.22–2.07; P < 0.001), but not with lumbar BMD. In contrast, a significant negative correlation was found between CML and lumbar BMD (r = − 0.180; P < 0.001), and this relationship was significant after adjustment for confounders (OR 0.84, 95% CI 0.76–0.93; P < 0.01). Although patients with prevalent vertebral fracture had significantly higher CML levels, the association between CML and prevalent vertebral fracture did not reach significance in the multivariate regression model. Both PEN and CML may play important roles in bone health for postmenopausal women, possibly via different mechanisms.
Subject terms: Metabolic disorders, Endocrinology
Introduction
Lifestyle-related metabolic imbalances, such as hyperglycemia, hyperlipidemia, and carbonyl- or oxidative-stress, cause the accumulation of advanced glycation end products (AGEs) through non-enzymatic glycation (i.e., the Maillard reaction)1,2. AGEs have been shown to exacerbate renal dysfunction, atherosclerosis, and osteoporosis3–6. Once AGEs are formed in bone tissue, they contribute to bone vulnerability via the deterioration of bone matrix proteins, especially collagen. The AGEs in collagen increase with age and have been found to diminish the mechanical properties of bone7. The apoptosis of osteocytes is also reportedly promoted by AGEs8,9.
Pentosidine (PEN) and carboxymethyl-lysine (CML) are major and well-recognized AGEs that contain arginine or lysine residues, both of which are present in collagen fibers as AGE precursor substances. PEN and CML are non-enzymatically produced in collagen as crosslinked and non-crosslinked types of AGEs, respectively. In contrast to enzymatic crosslinking, an increase in non-enzymatic crosslinking by PEN deteriorates bone strength10; urinary PEN excretion increases with age and predicts fractures in men11, women6,12,13, and diabetic patients14. Thus, PEN may be a risk factor for the occurrence of fractures that is independent of other traditional fracture risks, such as age, bone mineral density (BMD), and pre-existing fractures.
Although PEN and total AGEs in bone tissue exist in a proportional relationship, the absolute amount of PEN is smaller than that of other types of AGEs. As a measurable AGE in bone, CML reportedly increases with age and is correlated with previously established measures of bone toughness, including PEN15. Since the amount of CML in bone tissue is approximately 100 times higher than that of PEN15, CML evaluation may facilitate the development of new diagnostic assays to assess future fracture risk. Moreover, circulating CML levels have already been associated with the risk of hip fractures16,17. However, there have been no reports regarding the relationship between CML and vertebral fractures.
There are currently no reports investigating the implications of both PEN and CML on bone metabolism, BMD, and fractures in the same patients. In addition, no studies to uncover why CML associates with fractures have been attempted. The precise mechanisms of PEN and CML in fracture occurrence are therefore unclear and remain controversial. Accordingly, we examined the levels of urinary PEN excretion and serum CML in a cohort of postmenopausal outpatients to assess and compare the impacts of those AGEs on bone status and prevalent osteoporotic fractures in this cross-sectional study.
PEN is conventionally assayed by reversed-phase high-performance liquid chromatography (HPLC) after pre-treatment with heat hydrolysis of the samples12; however, this procedure introduces possible artificial error due to differences in the treatment process. We recently developed an enzyme-linked immunosorbent assay (ELISA) system without the need for pre-treatment heat hydrolysis of samples6,18. This novel ELISA method was employed to measure urinary PEN levels in the present study.
Methods
The study protocol of this investigation was reviewed by the ethics committee of the Research Institute and Practice for Involutional Diseases, Japan, in 1993 for the 1st version and in 2000 for the present version, and was carried out in accordance with the principles of the Declaration of Helsinki. Comprehensive written informed consent was provided by all patients enrolled in this study.
Study subjects
The ongoing Nagano Cohort Study was initiated in 1993 to evaluate ambulatory patients recruited at a primary care institution in Nagano Prefecture, Japan6,19. Patients with acute or severe illness, such as acute coronary artery disease, acute cerebrovascular disease, heart failure, respiratory distress, uncontrollable diabetes mellitus (DM) with ≥ 9.0% hemoglobin A1c (HbA1c), end-stage renal failure (estimated glomerular filtration rate [eGFR] < 30 mL/min/1.73m2), or terminal cancer, or secondary osteoporosis (e.g., steroid use or primary hyperparathyroidism) were excluded from the study. Patients under any kind of treatment for osteoporosis were included, with exclusion of subjects suffering a major osteoporotic fracture within the previous 6 months. Traumatic fracture patients were also excluded from the study. In total, 446 Japanese postmenopausal participants from the Nagano Cohort Study were included in the present investigation. The proportions of current smokers and drinkers among the participants were low, i.e., 2.1% were smokers and 7.7% were drinkers. After the exclusion of 2 premenopausal cases, the remaining 444 patients were subjected to further analysis. The cohort included patients with DM, dyslipidemia, and hypertension. The condition of the subjects was stable, and all specimens were collected during treatment. The data evaluated in this study were based on the patient characteristics at registration.
Data collection of patient characteristics
Body height, weight, and trunk circumference were measured by standard procedures, and body mass index (BMI; kg/m2) was calculated. Dual energy X-ray absorptiometry (DXA; PRODIGY, GE Healthcare Lunar, Madison, WI) was employed to determine BMD at the lumbar spine and hips as well as trunk and hip fat proportions. The regions of interest for lumbar and hip BMD were the L2–4 and total hip regions, respectively. Assay quality assurance tests were carried out by daily measurements of phantom bone prior to patient examination to avoid machine drift. Routine biochemical data were obtained by respective in-house laboratories. Urinary PEN level was determined by an ELISA method6,18 without the need for sample pre-treatment with heat hydrolysis; this method was preferred over PEN measurement in serum samples, which would have required heat hydrolysis and possible inclusion of artificial error. The assay performance of this ELISA system for urinary PEN was reported previously18. The sensitivity of the assay system was ≥ 6.24 pmol/mL, and the intra- and inter-assay variations in human urine samples were less than 5% and 4%, respectively. The correlation coefficient between urinary PEN levels measured by HPLC and the ELISA system was 0.815. Serum CML was measured using an ELISA kit (CircuLex, Nagano, Japan)20 without the need for heat hydrolysis pre-treatment. The sensitivity of the ELISA kit for CML was ≥ 0.063 µg/mL, and the intra- and inter-assay variances in human serum samples were 5.2–7.4% and 4.7–15.2%, respectively. Neither assay system showed detectable cross-reactivity to non-targeted compounds related to each target, indicating high sensitivities and sufficient specificities.
Regarding bone markers, serum or urinary levels of homocysteine, cross-linked N-telopeptide of type I collagen (NTx), intact osteocalcin, sclerostin, fibroblast growth factor 23 (FGF23), leptin, and adiponectin were measured at LSI Medience (Tokyo, Japan). The diagnoses of DM, dyslipidemia, and hypertension in this study were based on respective guidelines21–23. Briefly, DM was diagnosed if HbA1c level was ≥ 6.5% or if the patient was being actively treated for DM. Dyslipidemia was defined as low-density lipoprotein-cholesterol ≥ 140 mg/dL, high-density lipoprotein-cholesterol < 40 mg/dL, or postprandial triglycerides ≥ 200 mg/dL. Hypertension was diagnosed when systolic blood pressure was persistently > 140 mmHg, diastolic pressure was persistently > 90 mmHg, or anti-hypertensive drugs were used.
Fracture and osteoporosis diagnosis
Prevalent fractures were identified as non-traumatic fractures in the vertebrae, ribs, pelvis, proximal end of the humerus or femur, distal end of the radius, or proximal or distal ends of the tibia or fibula. In the present study, patients were inquired about their medical history of long-bone fracture during interviews. Prevalent vertebral fracture was diagnosed by semi-quantitative analysis of baseline X-ray films of the thoracic and lumbar vertebrae (T4–L4) using an established method24 that ranged from grade 0 (normal) to grade 3. Grade 1 was a mild deformity with 10–20% reduction in vertebral body area. Grades 2 and 3 were classified as a moderate deformity (20–40% reduction in vertebral body area) and severe deformity (> 40% reduction in vertebral body area), respectively. In the present study, patients with grade 1 or higher deformities (i.e., more than 10% reduction in vertebral body area) were judged as having prevalent vertebral fracture. Patients with fragility fractures in the vertebrae or proximal end of the femur, other fragility fractures with BMD < 80% of the young adult mean (YAM), or BMD ≤ 70% or − 2.5 standard deviation (SD) of the YAM were diagnosed as having osteoporosis25.
Statistical analysis
Numerical data were presented as mean ± SD and median values. For categorical data, the number and proportion of patients were reported. Data collection included the medical records of 444 Japanese postmenopausal outpatients. We calculated Pearson's product-moment correlation coefficients between log-transformed values of PEN or CML levels and various other characteristic parameters, as well as P-values by test for no correlation. The significance of PEN and CML levels according to the presence of co-morbidities and prevalent fractures was evaluated by Student's t-test. Moreover, we conducted multivariate analysis to investigate the implications of PEN and CML on prevalent vertebral fracture and BMD of the lumbar spine. To examine the independent associations of PEN and CML with prevalent vertebral fracture and lumbar BMD, we employed the parameters that showed significant correlations with each AGE as confounders in regression analysis; hence, the confounders in the PEN and CML analysis models were not identical. The analysis model for PEN was adjusted for confounders including patient age, body height, lumbar BMD, eGFR, homocysteine, NTx, prevalence of hypertension, and HbA1c or prevalence of DM. For CML, confounder adjustment included patient age, body height, hip fat, lumbar BMD, albumin, blood urea nitrogen (BUN), sclerostin, prevalence of hypertension, and HbA1c or prevalence of DM.
The relationship between DM and higher fragility fracture risk has been well documented26,27. Including PEN and CML, AGE formation is reportedly accelerated in DM patients due to an increased concentration of circulating glucose and oxidative stress28,29. Bone strength is measured based on BMD and bone quality. We earlier reported an association of PEN with fracture occurrence possibly via deteriorated bone quality by non-enzymatic collagen crosslinking12,30. AGEs may also accumulate with other contributing factors, such as aging and eating habits. To examine the independent associations of each AGE with prevalent vertebral fracture and lumbar BMD, we performed multiple regression analysis with adjustment for confounders including DM as well as HbA1c. A two-tailed P-value of < 0.05 was considered significantly different for all analyses. All statistical tests were performed using R version 3.6.0 software (https://www.r-project.org/)31.
Results
Characteristics of study subjects
A total of 444 postmenopausal patients (mean ± SD age: 69.8 ± 10.2 years) fulfilled the selection criteria of the current study. The numerical and categorical characteristics of the patients are summarized in Table 1. In total, 102 patients (23.0%) had been diagnosed as having osteoporosis and were treated with bisphosphonates (n = 56), selective estrogen receptor modulators (n = 36), daily or weekly preparations of teriparatide (n = 4), eldecalcitol (n = 3), denosumab (n = 2), or estradiol (n = 1). No significant differences in PEN or CML levels were noted among patients treated with those therapeutic medications. The number of patients with prevalent long-bone fracture was 33 (7.4%) and that of patients with prevalent vertebral fracture was 106 (23.9%). The mean values of urinary PEN and serum CML in the whole population of the present study were 33.5 ± 11.2 pmol/mgCre and 1.6 ± 0.7 µg/mL, respectively. Since the participants were ambulatory patients who visited a primary care institution, most of them had co-morbidities including DM (n = 89; 20.0%), dyslipidemia (n = 214; 48.2%), and hypertension (n = 220; 49.5%), although the status of all co-morbidities was stable. This study did not include treatment-naïve patients for these co-morbidities.
Table 1.
Number | Mean ± SD | Median | |
---|---|---|---|
Age, years | 444 | 69.8 ± 10.2 | 70.0 |
Body height, cm | 444 | 151.9 ± 6.3 | 152.0 |
Body weight, kg | 444 | 51.5 ± 9.1 | 50.2 |
BMI, kg/m2 | 444 | 22.3 ± 3.5 | 21.8 |
Trunk circumference, cm | 430 | 84.2 ± 9.4 | 84.0 |
Trunk fat, % | 439 | 27.4 ± 10.6 | 27.6 |
Hip fat, % | 436 | 23.7 ± 5.0 | 23.5 |
Lumbar BMD, g/cm2 | 444 | 0.96 ± 0.19 | 0.93 |
T-score for lumbar BMD, SD | 444 | − 1.59 ± 1.30 | − 1.81 |
Hip BMD, g/cm2 | 438 | 0.77 ± 0.12 | 0.77 |
T-score for hip BMD, SD | 438 | − 1.33 ± 1.03 | − 1.40 |
Albumin, g/dL | 411 | 4.2 ± 0.3 | 4.3 |
BUN, mg/dL | 424 | 16.1 ± 4.2 | 16.0 |
Creatinine, mg/dL | 444 | 0.64 ± 0.13 | 0.60 |
Uric acid, mg/dL | 439 | 4.5 ± 1.2 | 4.5 |
eGFR, mL/min/1.73m2 | 444 | 72.8 ± 16.1 | 72.6 |
Total cholesterol, mg/dL | 443 | 209.2 ± 35.2 | 208.0 |
Triglyceridesa, mg/dL | 443 | 146.3 ± 92.9 | 121.5 |
HbA1c, % | 443 | 5.6 ± 0.8 | 5.4 |
Homocysteine, nmol/mL | 433 | 8.9 ± 3.0 | 8.3 |
Folic acid, ng/mL | 429 | 9.7 ± 4.2 | 8.9 |
NTx, nmolBCE/mmolCre | 439 | 51.3 ± 27.2 | 45.7 |
Osteocalcin, ng/mL | 394 | 7.1 ± 2.8 | 6.6 |
Sclerostin, pmol/L | 397 | 36.0 ± 14.8 | 33.0 |
FGF23, pg/mL | 391 | 40.7 ± 14.6 | 38.9 |
Leptin, ng/mL | 396 | 10.3 ± 8.9 | 8.0 |
Adiponectin, µg/mL | 390 | 15.3 ± 8.2 | 13.2 |
Calcium, mg/dL | 441 | 9.4 ± 0.5 | 9.4 |
Inorganic phosphorus, mg/dL | 441 | 3.5 ± 0.5 | 3.5 |
25-OH vitamin D, ng/mL | 412 | 20.6 ± 6.1 | 20.0 |
PTH, pg/mL | 424 | 42.7 ± 16.7 | 40.0 |
PEN, pmol/mgCre | 444 | 33.5 ± 11.2 | 32.2 |
CML, µg/mL | 442 | 1.6 ± 0.7 | 1.6 |
Diabetes mellitus, yes | 89 (20.0%) | ||
Dyslipidemia, yes | 214 (48.2%) | ||
Hypertension, yes | 220 (49.5%) | ||
Prevalent long-bone fracture, yes | 33 (7.4%) | ||
Prevalent vertebral fracture, yes | 106 (23.9%) |
SD standard deviation, BMI body mass index, BMD bone mineral density, BUN blood urea nitrogen, eGFR estimated glomerular filtration rate, HbA1c hemoglobin A1c, NTx cross-linked N-telopeptide of type I collagen, FGF23 fibroblast growth factor 23, PTH parathyroid hormone, PEN pentosidine, CML carboxymethyl-lysine.
aTriglycerides were measured with the patient in a postprandial state.
Associations among AGEs and characteristic parameters
As shown in Table 2, both PEN and CML increased with age. Age might have been a common factor with respect to significant associations with body height. PEN level was significantly associated with trunk circumference, uric acid, eGFR, HbA1c, homocysteine, and NTx. On the other hand, CML had significant correlations with hip fat, albumin, BUN, HbA1c, sclerostin, and FGF23 levels. Of note, since there have been no reports on the association between CML and BMD, this study is the first to reveal a significant negative correlation for CML and lumbar BMD (r = − 0.180; P < 0.001), with none detected for PEN and BMD (Table 2 and Fig. 1). There were no associations among parameters involved in calcium metabolism, such as serum calcium, inorganic phosphorus, 25-OH vitamin D, or parathyroid hormone, with PEN or CML (data not shown); thus, the influence of AGEs on calcium metabolism might be less predominant. On the other hand, HbA1c level showed significant positive correlations with both PEN and CML, suggesting that glucose metabolism was a notable determinant for the AGEs.
Table 2.
PEN (pmol/mgCre, log) | CML (µg/mL, log) | |||
---|---|---|---|---|
Correlation coefficient | P value | Correlation coefficient | P value | |
Age, years | 0.230 | < 0.001 | 0.212 | < 0.001 |
Body height, cm | − 0.138 | < 0.01 | − 0.145 | < 0.01 |
Body weight, kg | 0.053 | 0.27 | − 0.041 | 0.39 |
Trunk circumference, cm | 0.156 | < 0.01 | 0.077 | 0.11 |
Trunk fat, % | 0.031 | 0.52 | 0.059 | 0.22 |
Hip fat, % | 0.024 | 0.61 | 0.117 | < 0.05 |
Lumbar BMD, g/cm2 | 0.048 | 0.32 | − 0.180 | < 0.001 |
Hip BMD, g/cm2 | − 0.017 | 0.72 | − 0.072 | 0.13 |
Albumin, g/dL | 0.016 | 0.74 | − 0.100 | < 0.05 |
BUN, mg/dL | 0.064 | 0.19 | 0.131 | < 0.01 |
Creatinine, mg/dL | 0.078 | 0.099 | 0.030 | 0.54 |
Uric acid, mg/dL | 0.134 | < 0.01 | 0.018 | 0.71 |
eGFR, mL/min/1.73m2 | − 0.097 | < 0.05 | − 0.080 | 0.094 |
Total cholesterol, mg/dL | − 0.061 | 0.20 | 0.064 | 0.18 |
Triglycerides, mg/dL | 0.014 | 0.78 | 0.044 | 0.36 |
HbA1c, % | 0.146 | < 0.01 | 0.171 | < 0.001 |
Homocysteine, nmol/mL, log | 0.160 | < 0.001 | 0.019 | 0.69 |
NTx, nmolBCE/mmolCre, log | 0.145 | < 0.01 | − 0.014 | 0.77 |
Osteocalcin, ng/mL, log | − 0.044 | 0.38 | 0.048 | 0.34 |
Sclerostin, pmol/L, log | 0.079 | 0.12 | 0.132 | < 0.01 |
FGF23, pg/mL, log | 0.062 | 0.22 | 0.105 | < 0.05 |
Leptin, ng/mL, log | 0.015 | 0.77 | 0.046 | 0.36 |
Adiponectin, µg/mL, log | 0.063 | 0.21 | 0.045 | 0.38 |
AGEs advanced glycation end products, PEN pentosidine, CML carboxymethyl-lysine, BMD bone mineral density, BUN blood urea nitrogen, eGFR estimated glomerular filtration rate, HbA1c hemoglobin A1c, NTx cross-linked N-telopeptide of type I collagen, FGF23 fibroblast growth factor 23.
Associations of AGEs with co-morbidities, prevalent osteoporotic fracture, and BMD
In regard to relations between AGEs and co-morbidities, significantly higher levels of both PEN and CML were observed in the presence of DM and hypertension, but not dyslipidemia (Fig. 2A and Supplementary Table 1). On the other hand, patients with prevalent vertebral fracture, but not long-bone fracture, showed significantly higher urinary PEN (P < 0.001) and serum CML (P < 0.05) levels as compared with patients without osteoporotic vertebral fracture (Fig. 2B and Supplementary Table 1). Furthermore, PEN values exhibited a significantly independent association with prevalent vertebral fracture after adjustment for confounders (odds ratio [OR] 1.59, 95% confidence interval [CI] 1.22–2.07; P < 0.001) (Fig. 3 and Supplementary Table 2). The relationship between PEN and vertebral fracture was consistent with our previous observations12,13. However, an independent association of CML with osteoporotic vertebral fracture prevalence was absent in multiple logistic regression analysis after adjustment for confounders (Fig. 3 and Supplementary Table 3).
We subsequently examined the relationships between the AGEs and BMD. PEN failed to demonstrate a significant association with lumbar BMD in multiple regression analysis (Fig. 4 and Supplementary Table 4), whereas CML values showed a significant negative independent association with lumbar BMD after adjustment for confounders (OR 0.84, 95% CI 0.76–0.93; P < 0.01) (Fig. 4 and Supplementary Table 5). As shown in Table 2, urinary PEN and NTx had a significant positive correlation (r = 0.145; P < 0.01). However, PEN did not demonstrate a significantly independent association with lumbar BMD, while the significance of NTx remained after adjustment for confounders (Supplementary Table 4). These observations suggest that higher urinary PEN excretion may be linked to increased bone resorption. On the other hand, a significant correlation between serum CML and sclerostin level (r = 0.132; P < 0.01) was observed (Table 2). As presented in Supplementary Table 5, both CML and sclerostin were significantly associated with lumbar BMD after adjustment for confounders, indicating that these parameters had independent relationships with BMD of the lumbar spine.
Discussion
In the present study, we cross-sectionally investigated for associations of the AGEs PEN and CML with prevalent osteoporotic fractures and bone status together with various metabolic parameters. PEN associated significantly with prevalent vertebral fracture, with no correlation with BMD. In contrast, CML correlated negatively with lumbar BMD, with no independent relationship with prevalent vertebral fracture. Since we observed no significant relationship between PEN, a crosslinked type of AGE, and BMD, it would appear that PEN associated independently with the occurrence of fracture via collagen network deterioration, leading to impaired bone quality without affecting BMD. On the other hand, as a non-crosslinked type of AGE, CML exhibited significant positive correlations with serum levels of sclerostin and FGF23, both of which secreted by osteocytes to impair bone mineralization. Thus, CML could have affected osteocytes within the bone matrix and contributed to fracture occurrence through lowered BMD. Both AGEs therefore appear to impact bone status and health, although possibly through different mechanisms.
With regard to glucose homeostasis, both PEN and CML displayed a positive significant relationship with HbA1c, a glycated hemoglobin. Hanssen et al. have reported no significant associations for AGEs with glucose metabolism32, while conflicting results exist for AGEs and insulin secretion or resistance33,34. Semba et al. described that serum CML concentration was strongly and inversely affected by body fat35, possibly since it was preferentially deposited in fat tissue or because adipocytes influenced the metabolism of AGEs. In contrast, our findings showed a significant positive correlation between serum CML level and hip fat mass as well as the prevalence rate of DM. Liman et al. very recently reported in an Indonesian cohort that CML levels might be associated with obesity, which was in agreement with our findings, and advised a reduction in CML-rich foods to reduce obesity risk36. The discrepancy between Semba's data and our own might be attributable to differences in patient ethnicity (Caucasian vs. Japanese or Asian) or the composition of co-morbidities, especially DM.
In this study, both PEN and CML values demonstrated significant associations with prevalent vertebral fracture. However, the mechanisms of long-bone and vertebral fracture occurrence appeared to differ. Our findings revealed that while PEN had no correlation with BMD, CML exhibited a significant negative relationship. CML has been reported to accelerate the apoptosis of osteoblastic cells and impair osteocyte functions8. Since CML is a non-crosslinked type of AGEs, its impact on bone matrix is thought to be relatively small. Hence, CML may affect the occurrence of fractures by the impairment of osteoblast or osteocyte functions, leading to reduced BMD. Indeed, serum sclerostin and FGF23 levels were positively correlated with CML, suggesting the involvement of osteocytes within the bone matrix. As the associations of CML and sclerostin with lumbar BMD were independent of each other, the implications of CML on osteocyte function remain controversial. Meanwhile, as a crosslinked type of AGEs, PEN seems to work not as a cytotoxin, but rather as a strong contributing factor to age-related changes in the collagen network and bone quality37. As there was no association between PEN and BMD in the current study, PEN might be related to fractures via bone matrix vulnerability.
The present study demonstrated an association of PEN, but not CML, with homocysteine level. Homocysteine generally increases with insufficient vitamin B group levels and is an independent risk factor for osteoporotic fractures38–40, which is similar to PEN. Imbalanced glucose metabolism and subsequent diabetes cause incremental vitamin B consumption to produce a relative vitamin B deficiency41. We earlier reported a relationship between higher circulating homocysteine level and PEN accumulation42,43 suggesting the association of a vitamin B deficiency caused by abnormal glucose metabolism with osteoporotic fracture risk. Indeed, homocysteine could be a susceptibility factor for fractures44. It is noteworthy that not only a vitamin B group deficiency causing abnormal collagen conditions, but also imbalanced bone metabolism brought about by abnormalities in osteocyte function (e.g., sclerostin and FGF23) may be a prominent fracture-related factor as well. Since osteocytes exist within the collagen network, collagen aberrations should presumably affect osteocytes. However, in this study, no associations were found between PEN and sclerostin or FGF23 levels. Therefore, the crosslinked AGE PEN was believed to relate to fracture occurrence through the deterioration of bone quality without affecting osteocyte function and subsequently lowered BMD. Those metabolic abnormalities due to impaired osteocyte function could have also been provoked by AGEs other than PEN, possibly by a non-crosslinked AGE such as CML.
Patients with type 2 DM have an increased risk of bone fracture irrespectively of normal or high BMD45,46. Altered bone microarchitecture and/or poor bone quality have been suggested as possible causes of such fractures47. There have been contradictory reports on the association of circulating CML levels with the risk of hip fracture. Barzilay et al. identified an association between increasing CML levels and hip fracture risk that was independent of hip BMD16, whereas Lamb et al. showed that men with lower quartiles of plasma CML had a higher incidence of hip fracture17. On the other hand, there have been no reports on the relationship between CML and vertebral fracture, with conflicting results also existing on the association between circulating CML levels and obesity35,36. The present study revealed significantly higher serum CML levels in patients with DM or prevalent vertebral fracture. Although CML did not independently associate with the occurrence of vertebral fracture, it correlated negatively with lumbar BMD. CML has been reported to accelerate the apoptosis of osteoblastic cells and hamper osteocyte functions8. Indeed, our results showed significant positive correlations for CML with serum levels of sclerostin and FGF23, both of which secreted by osteocytes to impair bone mineralization. Therefore, CML is presumed to affect osteocytes within the bone matrix and relate to vertebral fracture occurrence through lowered BMD. Our multivariate regression model adjusted for confounders including PEN or CML showed no significant independent associations of DM with prevalent vertebral fracture and lumbar BMD. Thus, the pathophysiology of diabetic fractures may be due to elevated levels of PEN, CML, or other AGEs affecting bone fragility or BMD.
It is well known that since PEN and CML are AGEs, these protein degradation factors accumulate with age. In addition to AGEs, other fracture-related factors increase over time, such as homocysteine. Thus, the associations of PEN and CML with fractures may reflect either direct or indirect influences via the regulation of fracture-related factors. Based on our findings, the relationships between AGEs and fractures seemed to depend on fracture type, which might have been the result of insufficient statistical power due to the limitation of relatively few cases of long-bone fracture. Re-examination of the Nagano Cohort Study after an increase in long-bone fracture cases is needed for a more detailed analysis of AGEs and fractures. Since we investigated the associations between AGEs levels and prevalent osteoporotic fractures as a cross-sectional study, we could not identify a causal relationship of AGEs with prevalent fractures. The exact time of prevalent fracture occurrence could not be pinpointed, especially for vertebral fracture, due to the lack of clinical episodes. Therefore, the pathophysiological importance of CML in fractures requires confirmation by a prospective study design. In addition, as this study consisted only of postmenopausal women, its conclusions could not be expanded to the general population. Further observational studies containing longitudinal investigation or analyses of community-dwelling participants are required to confirm the associations between AGEs and fractures.
In conclusion, PEN as well as CML were associated with prevalent vertebral fracture in postmenopausal women. The mechanism of PEN might be independent of lumbar BMD, while that of CML could be BMD dependent. Lastly, it is considered that the association between AGEs and fracture occurrence is related to various metabolic abnormalities accompanying age. Prospective interventional studies are needed to clarify whether or not AGEs are the direct cause of osteoporotic fractures.
Supplementary Information
Acknowledgements
We would like to thank all participants in this study as well as Mr. Trevor Ralph for English language editing. The Nagano Cohort Study was funded by the Budget of Research Institute and Practice for Involutional Diseases, Japan.
Author contributions
Conception and design of the study: Y.N. and M.S. Analysis and interpretation of the data: M.N., Y.N., T.S., A.M., J.T., M.S., and M.S. Drafting of the manuscript: M.N., Y.N., and M.S. Final approval of the article: M.N., Y.N., T.S., A.M., J.T., M.S., and M.S.
Data availability
The data analyzed or generated during the current study are available from the corresponding author on reasonable request.
Competing interests
The authors declare no competing interests.
Footnotes
Publisher's note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Information
The online version contains supplementary material available at 10.1038/s41598-020-78993-w.
References
- 1.Brownlee M. The pathobiology of diabetic complications: a unifying mechanism. Diabetes. 2005;54:1615–1625. doi: 10.2337/diabetes.54.6.1615. [DOI] [PubMed] [Google Scholar]
- 2.Vistoli G, et al. Advanced glycoxidation and lipoxidation end products (AGEs and ALEs): an overview of their mechanisms of formation. Free Radic. Res. 2013;47(Suppl. 1):3–27. doi: 10.3109/10715762.2013.815348. [DOI] [PubMed] [Google Scholar]
- 3.Heidland A, Sebekova K, Schinzel R. Advanced glycation end products and the progressive course of renal disease. Am. J. Kidney Dis. 2001;38:S100–106. doi: 10.1053/ajkd.2001.27414. [DOI] [PubMed] [Google Scholar]
- 4.Yamagishi SI, Matsui T. Role of hyperglycemia-induced advanced glycation end product (AGE) accumulation in atherosclerosis. Ann. Vasc. Dis. 2018;11:253–258. doi: 10.3400/avd.ra.18-00070. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Yang DH, et al. Increased levels of circulating advanced glycation end-products in menopausal women with osteoporosis. Int. J. Med. Sci. 2014;11:453–460. doi: 10.7150/ijms.8172. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Shiraki M, Kashiwabara S, Imai T, Tanaka S, Saito M. The association of urinary pentosidine levels with the prevalence of osteoporotic fractures in postmenopausal women. J. Bone Miner. Metab. 2019;37:1067–1074. doi: 10.1007/s00774-019-01017-9. [DOI] [PubMed] [Google Scholar]
- 7.Saito M, Marumo K. Collagen cross-links as a determinant of bone quality: a possible explanation for bone fragility in aging, osteoporosis, and diabetes mellitus. Osteoporos. Int. 2010;21:195–214. doi: 10.1007/s00198-009-1066-z. [DOI] [PubMed] [Google Scholar]
- 8.Tanaka K, Yamaguchi T, Kanazawa I, Sugimoto T. Effects of high glucose and advanced glycation end products on the expressions of sclerostin and RANKL as well as apoptosis in osteocyte-like MLO-Y4-A2 cells. Biochem. Biophys. Res. Commun. 2015;461:193–199. doi: 10.1016/j.bbrc.2015.02.091. [DOI] [PubMed] [Google Scholar]
- 9.Zhang C, et al. FOXO1 mediates advanced glycation end products induced mouse osteocyte-like MLO-Y4 cell apoptosis and dysfunctions. J. Diabetes Res. 2019;2019:6757428. doi: 10.1155/2019/6757428. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Saito M, et al. Changes in the contents of enzymatic immature, mature, and non-enzymatic senescent cross-links of collagen after once-weekly treatment with human parathyroid hormone (1–34) for 18 months contribute to improvement of bone strength in ovariectomized monkeys. Osteoporos. Int. 2011;22:2373–2383. doi: 10.1007/s00198-010-1454-4. [DOI] [PubMed] [Google Scholar]
- 11.Tamaki J, et al. Ratio of endogenous secretory receptor for advanced glycation end products to pentosidine predicts fractures in men. J. Clin. Endocrinol. Metab. 2018;103:85–94. doi: 10.1210/jc.2017-00929. [DOI] [PubMed] [Google Scholar]
- 12.Shiraki M, et al. Nonenzymatic collagen cross-links induced by glycoxidation (pentosidine) predicts vertebral fractures. J. Bone Miner. Metab. 2008;26:93–100. doi: 10.1007/s00774-007-0784-6. [DOI] [PubMed] [Google Scholar]
- 13.Tanaka S, Kuroda T, Saito M, Shiraki M. Urinary pentosidine improves risk classification using fracture risk assessment tools for postmenopausal women. J. Bone Miner. Res. 2011;26:2778–2784. doi: 10.1002/jbmr.467. [DOI] [PubMed] [Google Scholar]
- 14.Schwartz, A. V. et al. Health, Aging, and Body Composition Study. Pentosidine and increased fracture risk in older adults with type 2 diabetes. J. Clin. Endocrinol. Metab.94, 2380–2386 (2009). [DOI] [PMC free article] [PubMed]
- 15.Thomas CJ, Cleland TP, Sroga GE, Vashishth D. Accumulation of carboxymethyl-lysine (CML) in human cortical bone. Bone. 2018;110:128–133. doi: 10.1016/j.bone.2018.01.028. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Barzilay JI, et al. Circulating levels of carboxy-methyl-lysine (CML) are associated with hip fracture risk: the Cardiovascular Health Study. J. Bone Miner. Res. 2014;29:1061–1066. doi: 10.1002/jbmr.2123. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Lamb LS, et al. Advanced glycation end products and esRAGE are associated with bone turnover and incidence of hip fracture in older men. J. Clin. Endocrinol. Metab. 2018;103:4224–4231. doi: 10.1210/jc.2018-00674. [DOI] [PubMed] [Google Scholar]
- 18.Kashiwabara S, Hosoe H, Ohno RI, Nagai R, Shiraki M. Development and evaluation of novel ELISA for determination of urinary pentosidine. J. Nutr. Sci. Vitaminol. (Tokyo) 2019;65:526–533. doi: 10.3177/jnsv.65.526. [DOI] [PubMed] [Google Scholar]
- 19.Nakamura Y, et al. Two adipocytokines, leptin and adiponectin, independently predict osteoporotic fracture risk at different bone sites in postmenopausal women. Bone. 2020;137:115404. doi: 10.1016/j.bone.2020.115404. [DOI] [PubMed] [Google Scholar]
- 20.Aoki C, Uto K, Honda K, Kato Y, Oda H. Advanced glycation end products suppress lysyl oxidase and induce bone collagen degradation in a rat model of renal osteodystrophy. Lab. Invest. 2013;93:1170–1183. doi: 10.1038/labinvest.2013.105. [DOI] [PubMed] [Google Scholar]
- 21.Haneda M, et al. Japanese clinical practice guideline for diabetes 2016. Diabetol. Int. 2018;9:1–45. doi: 10.1007/s13340-018-0345-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Seishima M. Guideline for hyperlipidemia. Rinsho Byori. 2003;51:576–580. [PubMed] [Google Scholar]
- 23.Shimamoto, K. et al. Japanese Society of Hypertension Committee for Guidelines for the Management of Hypertension. The Japanese society of hypertension guidelines for the management of hypertension (JSH 2014). Hypertens. Res.37, 253–390 (2014). [DOI] [PubMed]
- 24.Genant HK, Wu CY, van Kuijk C, Nevitt MC. Vertebral fracture assessment using a semiquantitative technique. J. Bone Miner. Res. 1993;8:1137–1148. doi: 10.1002/jbmr.5650080915. [DOI] [PubMed] [Google Scholar]
- 25.Hosoi, T. On "2015 Guidelines for Prevention and Treatment of Osteoporosis". Diagnostic criteria of primary osteoporosis and the criteria for pharmacological treatment. Clin. Calcium25, 1279–1283 (2015). [PubMed]
- 26.Janghorbani M, Van Dam RM, Willett WC, Hu FB. Systematic review of type 1 and type 2 diabetes mellitus and risk of fracture. Am. J. Epidemiol. 2007;166:495–505. doi: 10.1093/aje/kwm106. [DOI] [PubMed] [Google Scholar]
- 27.Yamamoto M, Yamaguchi T, Yamauchi M, Kaji H, Sugimoto T. Diabetic patients have an increased risk of vertebral fractures independent of BMD or diabetic complications. J. Bone Miner. Res. 2009;24:702–709. doi: 10.1359/jbmr.081207. [DOI] [PubMed] [Google Scholar]
- 28.Sell DR, Carlson EC, Monnier VM. Differential effects of type 2 (non-insulin-dependent) diabetes mellitus on pentosidine formation in skin and glomerular basement membrane. Diabetologia. 1993;36:936–941. doi: 10.1007/BF02374476. [DOI] [PubMed] [Google Scholar]
- 29.Schleicher ED, Wagner E, Nerlich AG. Increased accumulation of the glycoxidation product N(epsilon)-(carboxymethyl)lysine in human tissues in diabetes and aging. J. Clin. Invest. 1997;99:457–468. doi: 10.1172/JCI119180. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Saito M, Kida Y, Kato S, Marumo K. Diabetes, collagen, and bone quality. Curr. Osteoporos. Rep. 2014;12:181–188. doi: 10.1007/s11914-014-0202-7. [DOI] [PubMed] [Google Scholar]
- 31.R Core Team. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria.https://www.r-project.org (2019).
- 32.Hanssen NM, et al. Plasma levels of advanced glycation endproducts Nε-(carboxymethyl)lysine, Nε-(carboxyethyl)lysine, and pentosidine are not independently associated with cardiovascular disease in individuals with or without type 2 diabetes: the Hoorn and CODAM studies. J. Clin. Endocrinol. Metab. 2013;98:E1369–1373. doi: 10.1210/jc.2013-1068. [DOI] [PubMed] [Google Scholar]
- 33.Forbes JM, et al. Advanced glycation end products (AGEs) are cross-sectionally associated with insulin secretion in healthy subjects. Amino Acids. 2014;46:321–326. doi: 10.1007/s00726-013-1542-9. [DOI] [PubMed] [Google Scholar]
- 34.Vlassara H, et al. Oral AGE restriction ameliorates insulin resistance in obese individuals with the metabolic syndrome: a randomised controlled trial. Diabetologia. 2016;59:2181–2192. doi: 10.1007/s00125-016-4053-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Semba RD, Arab L, Sun K, Nicklett EJ, Ferrucci L. Fat mass is inversely associated with serum carboxymethyl-lysine, an advanced glycation end product, in adults. J. Nutr. 2011;141:1726–1730. doi: 10.3945/jn.111.143172. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Liman PB, et al. Dietary and plasma carboxymethyl lysine and tumor necrosis factor-α as mediators of body mass index and waist circumference among women in Indonesia. Nutrients. 2019;11:E3057. doi: 10.3390/nu11123057. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Wang X, Shen X, Li X, Agrawal CM. Age-related changes in the collagen network and toughness of bone. Bone. 2002;31:1–7. doi: 10.1016/S8756-3282(01)00697-4. [DOI] [PubMed] [Google Scholar]
- 38.van Meurs JB, et al. Homocysteine levels and the risk of osteoporotic fracture. N. Engl. J. Med. 2004;350:2033–2041. doi: 10.1056/NEJMoa032546. [DOI] [PubMed] [Google Scholar]
- 39.McLean RR, et al. Homocysteine as a predictive factor for hip fracture in older persons. N. Engl. J. Med. 2004;350:2042–2049. doi: 10.1056/NEJMoa032739. [DOI] [PubMed] [Google Scholar]
- 40.Cashman KD. Homocysteine and osteoporotic fracture risk: a potential role for B vitamins. Nutr. Rev. 2005;63:29–36. doi: 10.1111/j.1753-4887.2005.tb00108.x. [DOI] [PubMed] [Google Scholar]
- 41.Zhou SS, Li D, Zhou YM, Sun WP, Liu QG. B-vitamin consumption and the prevalence of diabetes and obesity among the US adults: population based ecological study. BMC Public Health. 2010;10:746. doi: 10.1186/1471-2458-10-746. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Saito M, Fujii K, Marumo K. Degree of mineralization-related collagen crosslinking in the femoral neck cancellous bone in cases of hip fracture and controls. Calcif. Tissue Int. 2006;79:160–168. doi: 10.1007/s00223-006-0035-1. [DOI] [PubMed] [Google Scholar]
- 43.Saito M, et al. Raloxifene ameliorates detrimental enzymatic and nonenzymatic collagen cross-links and bone strength in rabbits with hyperhomocysteinemia. Osteoporos. Int. 2010;21:655–666. doi: 10.1007/s00198-009-0980-4. [DOI] [PubMed] [Google Scholar]
- 44.Kuroda T, Uenishi K, Ohta H, Shiraki M. Multiple vitamin deficiencies additively increase the risk of incident fractures in Japanese postmenopausal women. Osteoporos. Int. 2019;30:593–599. doi: 10.1007/s00198-018-4784-2. [DOI] [PubMed] [Google Scholar]
- 45.Schwartz AV, Sellmeyer DE. Diabetes, fracture, and bone fragility. Curr. Osteoporos. Rep. 2007;5:105–111. doi: 10.1007/s11914-007-0025-x. [DOI] [PubMed] [Google Scholar]
- 46.Premaor MO, Pilbrow L, Tonkin C, Parker RA, Compston J. Obesity and fractures in postmenopausal women. J. Bone Miner. Res. 2010;25:292–297. doi: 10.1359/jbmr.091004. [DOI] [PubMed] [Google Scholar]
- 47.Burghardt AJ, et al. High-resolution peripheral quantitative computed tomographic imaging of cortical and trabecular bone microarchitecture in patients with type 2 diabetes mellitus. J. Clin. Endocrinol. Metab. 2010;95:5045–5055. doi: 10.1210/jc.2010-0226. [DOI] [PMC free article] [PubMed] [Google Scholar]
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Data Availability Statement
The data analyzed or generated during the current study are available from the corresponding author on reasonable request.