Summary

The risk of osteoporosis increases in inflammatory disorders. In cell-mediated immune activation, interferon (IFN)-γ stimulates macrophage release of neopterin and increases the activity of indoleamine 2,3-dioxygenase (IDO), thereby stimulating tryptophan degradation along the kynurenine pathway. Plasma levels of neopterin and the kynurenine/tryptophan ratio (KTR) are thus markers of IFN-γ-mediated inflammation. Several kynurenine pathway metabolites (kynurenines) possess immunomodulatory properties. The aim of this study was to investigate associations between markers of IFN-γ-mediated inflammation and kynurenines with bone mineral density (BMD). The community-based Hordaland Health Study (HUSK), with middle-aged (46–49 years) and older (71–74 years) participants, was conducted from 1998 to 2000 (n = 5312). Hip BMD in relation to neopterin, KTR and kynurenines were investigated, using linear and logistic regression analyses. In the oldest group, neopterin (P ≤ 0·019) and KTR (P ≤ 0·001) were associated inversely with BMD after multiple adjustment. Comparing the highest to the lowest quartiles, the odds ratios of low BMD (being in the lowest quintile of BMD) in the oldest cohort were for neopterin 2·01 among men and 2·34 among women (P ≤ 0·007) and for KTR 1·80 for men and 2·04 for women (P ≤ 0·022). Xanthurenic acid was associated positively with BMD in all sex and age groups while 3-hydroxyanthranilic acid was associated positively with BMD among women only (P ≤ 0·010). In conclusion, we found an inverse association between BMD and markers of IFN-γ-mediated inflammation in the oldest participants. BMD was also associated with two kynurenines in both age groups. These results may support a role of cell-mediated inflammation in bone metabolism.

Introduction

Patients with chronic inflammatory diseases are at increased risk of secondary osteoporosis, a result of unbalanced bone turnover with increased maturation and activation of bone-degrading cells (osteoclasts) [1,2]. The main common pathway of osteoclast stimulation is through increased release of receptor activator of nuclear factor kappa B (NF-κB) ligand (RANKL) [2] by cells embedded in bone matrix (osteocytes), bone-building cells (osteoblasts) and stromal cells [3]. Experimental studies have indicated that in states of inflammation, RANKL is also secreted by activated T cells [4,5].

C-reactive protein (CRP) increases as an acute-phase response to inflammation or tissue damage [6]. Low-grade chronic inflammation may be assessed by high-sensitivity (hs) CRP. Results from studies on CRP in relation to bone mineral density (BMD) have been conflicting [7–11].

In certain conditions, including infections, inflammatory diseases and oestrogen deficiency, release of interferon (IFN)‐γ is stimulated as part of a cell‐mediated (type 1) immune response [12]–[14]. IFN‐γ has a mainly bone protective effect [15], e.g. through down‐regulation of osteoclast maturation (bone‐degrading cells). However, in inflammatory conditions with excess IFN‐γ release, murine studies have indicated that a bone resorptive effect dominates [05]. IFN‐γ stimulates macrophage release of neopterin, a pteridine serving as a marker of cellular immune activation [16]. IFN‐γ also increases the expression of the enzyme indoleamine 2,3 dioxygenase (IDO) [17], catalyzing the oxidative cleavage of tryptophan to kynurenine, which is further metabolized to compounds collectively termed kynurenines (Fig. 1) [18]. The kynurenine/tryptophan ratio (KTR) is a sensitive marker of IDO activity and immune activation [18]–[19].

The kynurenine pathway of tryptophan metabolism. Tryptophan is an essential amino acid obtained through the diet. Tryptophan metabolism is initiated by cleavage of the indole-ring catalyzed by either tryptophan dioxygenase (TDO) or indoleamine 2,3-dioxygenase (IDO). TDO resides primarily in the liver and is induced by tryptophan and corticosteroids, whereas IDO is an extrahepatic enzyme induced by cytokines, mainly interferon (IFN)-γ, as indicated by the attached filled circle. Other enzymes of the kynurenine pathway are probably also induced by cytokines, as indicated by the attached open circles. AMO: anthranilate monooxygenase; HAO: hydroxyanthranilate dioxygenase; KAT: kynurenine aminotransferase; KMO: kynurenine monooxygenase; KYNU: kynureninase; QRPT: quinolinate phosphoribosyl transferase.
Fig. 1

The kynurenine pathway of tryptophan metabolism. Tryptophan is an essential amino acid obtained through the diet. Tryptophan metabolism is initiated by cleavage of the indole-ring catalyzed by either tryptophan dioxygenase (TDO) or indoleamine 2,3-dioxygenase (IDO). TDO resides primarily in the liver and is induced by tryptophan and corticosteroids, whereas IDO is an extrahepatic enzyme induced by cytokines, mainly interferon (IFN)-γ, as indicated by the attached filled circle. Other enzymes of the kynurenine pathway are probably also induced by cytokines, as indicated by the attached open circles. AMO: anthranilate monooxygenase; HAO: hydroxyanthranilate dioxygenase; KAT: kynurenine aminotransferase; KMO: kynurenine monooxygenase; KYNU: kynureninase; QRPT: quinolinate phosphoribosyl transferase.

IDO is an immunomodulatory enzyme [20,21] which may, as for the kynurenines, have an impact upon T cell activity. This influence may be through modification of the properties of antigen-presenting cells [22] and induction of regulatory T cells (Tregs) [23], inhibition of T cell proliferation [24] or through tryptophan depletion, creating a microenvironment suppressing T cell activity [25]. In some diseases, suppression of Tregs has been suggested as a mechanism for bone loss [26–28].

Activation of the kynurenine pathway, as well as an increase in serum neopterin, has been linked to several chronic conditions, including rheumatic diseases [29–32], cardiovascular disease [33], mental and neurological illness [34,35] and osteoporosis [36].

Little is known about the relation between neopterin, the kynurenine pathway and BMD. Thus, the aim of this study was to investigate whether neopterin, KTR and metabolites of the kynurenine pathway are associated with BMD in a large community-based sample of middle-aged and older adults.

Materials and methods

Subjects

The bone mineral substudy of the Hordaland Health Study (HUSK) was conducted during 1998–2000. Some 9187 inhabitants of Bergen and three neighbouring suburban municipalities, born in 1925–27 and 1950–51, who had participated previously in the Hordaland Homocysteine Study [37], were invited. The 7074 (77·0% of invited) subjects taking part in HUSK answered questions concerning lifestyle factors, health status and medication use. BMD was measured in 5408 participants (76·4% of participating subjects); 33 scans were invalid or rejected because of bilateral hip prostheses, leaving 5375 valid bone scans. Of these, blood samples were available for 5314 subjects, leaving 75·1% of participants eligible for the study. The study protocol was approved by the Regional Committee for Medical Research Ethics and the Norwegian Data Inspectorate. All participants signed an informed consent. The study was conducted according to the principles of the Declaration of Helsinki of the World Medical Association.

Blood samples

Non-fasting blood samples were collected and stored as described earlier [38]. Plasma was analysed for tryptophan, kynurenines (kynurenine, kynurenic acid, anthranilic acid, 3-hydroxykynurenine, xanthurenic acid and 3-hydroxyanthranilic acid), neopterin and cotinine (a nicotine metabolite used as a biomarker of recent nicotine exposure) using liquid chromatography-tandem mass spectrometry (LC/MS/MS) in the laboratory of Bevital A/S (http://www.bevital.no), Bergen, Norway [39]. Before analyses, the blood samples had been stored for up to 13 years at −80°C. Plasma concentrations of some kynurenines, which may change in samples that have not been properly stored, were similar in our analyses to those obtained in fresh samples [40], indicating that sample collection and storage were adequate.

Sensitive C-reactive protein ethylenediamine tetraacetic acid (EDTA) plasma levels were analysed at Bevital A/S by an immunoassay based on matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS).

Bone mineral density

Bone mineral density was measured during 1998–2000 using a stationary, dual X-ray densitometer (EXPERT-XL, software versions 1·72 and 1·90; Lunar Company Inc., Madison, WI, USA).

A scan of the left hip was used, except in those with a left hip prosthesis or former hip fracture. The right hip was scanned in 3·8% of subjects. The scanner was calibrated daily against a standard calibration block. The coefficient of variation for total hip BMD measurements based on duplicate measurement in 27 individuals was 1·2% [41]. Daily phantom measurements were performed and showed no drift. Several areas of the hip were measured; in this study we report the findings for total hip BMD.

Additional data

Participants provided information on health status, use of medication, socio-demographic data and lifestyle factors by self-administered questionnaires. Height and weight were measured in light clothing and body mass index (BMI; in kg/m2) was calculated.

Statistical analyses

Distribution of continuous variables is reported as means and standard deviations (s.d.) or medians and interquartile range for skewed distributions. For categorical variables, counts (percentages) are reported. BMD, BMI and tryptophan were normally distributed, as determined by Q-Q plot. CRP, neopterin, KTR, the kynurenines and cotinine displayed right-skewed distributions. Cotinine was categorized to show the proportions of participants with no, light or heavy nicotine exposure, but was used as a continuous variable in all the analyses. Potential differences between sex and age groups were compared using two-way analysis of variance for continuous outcome variables and binary logistic regression for the categorical outcome.

Correlations between inflammatory markers/tryptophan metabolites and BMD were assessed by Spearman's rho (rs) for the four sex and age groups. The relationships between BMD and neopterin, KTR and the kynurenines were further examined using multiple linear regression. Further, BMD was dichotomized into low (lowest 20% in each sex and age group) or normal BMD. Odds ratios (OR) for risk of low BMD were estimated across sex- and age-specific quartiles of neopterin, KTR, tryptophan and kynurenines by binary logistic regression. The multivariable model includes BMI, cotinine and estimated glomerular filtration rate (eGFR) calculated by the Modification of Diet in Renal Disease (MDRD) formula [42]. eGFR was dichotomized according to normal (60 ml/min or above) or reduced (below 60 ml/min) renal function.

The significance level was set to 0·05. Analyses were conducted using the statistical packages r (version 2·13·1 for Windows) and spss (version 18 for Windows; SPSS Inc., Chicago, IL, USA).

Results

Characteristics of the study participants, according to sex and age group, are shown in Table 1. The plasma neopterin concentration was higher in women than men, whereas KTR was similar between the sexes within each age group. For tryptophan and most of the kynurenines, median values were higher among men than women. The exception was 3-hydroxykynurenine, which was higher among women than men in the middle-aged group. In both age groups, reduced eGFR was substantially more prevalent in women than men.

Table 1

Characteristics of participants in the Hordaland Health Study (n = 5312) according to age and sex.

46–49 years71–74 yearsP-values
Men n = 1229*Women n = 1862*Men n = 1017*Women n = 1204*SexAgeSex × age interaction
BMD total hip (g/cm2), mean (s.d.)1·03 (0·14)0·98 (0·13)0·96 (0·15)0·80 (0·13)<0·001
BMI (kg/ m2), mean (s.d.)26·2 (3·3)24·8 (4·0)26·0 (3·1)26·2 (4·2)<0·001
eGFR below 60 ml/min, n (%)12 (1·0)294 (15·8)194 (19·1)652 (54·2)<0·001
Cotinine, n (%)0·001<0·001n.s.
<85 (no nicotine exposure)784 (63·8)1180 (63·4)834 (82·0)1016 (84·4)
85–1000 (light nicotine exposure)139 (11·3)258 (13·9)60 (5·9)97 (8·1)
>1000 (heavy nicotine exposure)306 (24·9)424 (22·8)123 (12·1)91 (7·6)
Inflammatory markers, median (IQR)
CRP (μg/ml)1·2 (2·1)1·0 (2·1)2·1 (3·2)2·1 (3·2)0·030<0·001n.s.
Neopterin (nmol/l)6·6 (2·2)7·0 (2·3)8·6 (3·3)8·7 (3·2)0·004
KTR (×1000)20·1 (6·3)20·0 (6·8)25·8 (9·9)26·2 (9·7)n.s.<0·001n.s.
Metabolites, median (IQR)
Tryptophan (μmol/l)72·3 (18·8)65·7 (17·2)68·5 (17·8)62·5 (17·5)<0·001<0·001n.s.
Kynurenine (μmol/Ll)1·5 (0·4)1·3 (0·4)1·8 (0·6)1·7 (0·6)<0·001<0·001n.s.
Kynurenic acid (nmol/l)45·1 (18·4)39·2 (17·5)54·7 (26·9)48·4 (25·6)<0·001<0·001n.s.
Anthranilic acid (nmol/l)13·0 (5·0)12·7 (5·3)17·0 (7·9)15·9 (6·6)0·004<0·001n.s.
3-Hydroxykynurenine (nmol/l)28·5 (11·8)30·2 (13·2)36·1 (15·1)35·3 (15·3)<0·001
Xanthurenic acid (nmol/l)17·2 (10·2)15·4 (9·8)17·0 (11·1)14·2 (9·1)0·001
3-Hydroxyanthranilic acid (nmol/l)34·8 (17·3)30·9 (15·1)36·7 (19·0)32·9 (17·1)<0·001<0·001n.s.
46–49 years71–74 yearsP-values
Men n = 1229*Women n = 1862*Men n = 1017*Women n = 1204*SexAgeSex × age interaction
BMD total hip (g/cm2), mean (s.d.)1·03 (0·14)0·98 (0·13)0·96 (0·15)0·80 (0·13)<0·001
BMI (kg/ m2), mean (s.d.)26·2 (3·3)24·8 (4·0)26·0 (3·1)26·2 (4·2)<0·001
eGFR below 60 ml/min, n (%)12 (1·0)294 (15·8)194 (19·1)652 (54·2)<0·001
Cotinine, n (%)0·001<0·001n.s.
<85 (no nicotine exposure)784 (63·8)1180 (63·4)834 (82·0)1016 (84·4)
85–1000 (light nicotine exposure)139 (11·3)258 (13·9)60 (5·9)97 (8·1)
>1000 (heavy nicotine exposure)306 (24·9)424 (22·8)123 (12·1)91 (7·6)
Inflammatory markers, median (IQR)
CRP (μg/ml)1·2 (2·1)1·0 (2·1)2·1 (3·2)2·1 (3·2)0·030<0·001n.s.
Neopterin (nmol/l)6·6 (2·2)7·0 (2·3)8·6 (3·3)8·7 (3·2)0·004
KTR (×1000)20·1 (6·3)20·0 (6·8)25·8 (9·9)26·2 (9·7)n.s.<0·001n.s.
Metabolites, median (IQR)
Tryptophan (μmol/l)72·3 (18·8)65·7 (17·2)68·5 (17·8)62·5 (17·5)<0·001<0·001n.s.
Kynurenine (μmol/Ll)1·5 (0·4)1·3 (0·4)1·8 (0·6)1·7 (0·6)<0·001<0·001n.s.
Kynurenic acid (nmol/l)45·1 (18·4)39·2 (17·5)54·7 (26·9)48·4 (25·6)<0·001<0·001n.s.
Anthranilic acid (nmol/l)13·0 (5·0)12·7 (5·3)17·0 (7·9)15·9 (6·6)0·004<0·001n.s.
3-Hydroxykynurenine (nmol/l)28·5 (11·8)30·2 (13·2)36·1 (15·1)35·3 (15·3)<0·001
Xanthurenic acid (nmol/l)17·2 (10·2)15·4 (9·8)17·0 (11·1)14·2 (9·1)0·001
3-Hydroxyanthranilic acid (nmol/l)34·8 (17·3)30·9 (15·1)36·7 (19·0)32·9 (17·1)<0·001<0·001n.s.

*Total numbers may vary between variables according to different numbers of missing data. Groups compared by two-way analysis of variance. Groups compared by binary logistic regression. BMD = bone mineral density; BMI = body mass index; eGFR = estimated glomerular filtration rate; IQR = interquartile range; KTR = kynurenine/tryptophan ratio; n.s. = not significant; P > 0·01; s.d. = standard deviation.

Table 1

Characteristics of participants in the Hordaland Health Study (n = 5312) according to age and sex.

46–49 years71–74 yearsP-values
Men n = 1229*Women n = 1862*Men n = 1017*Women n = 1204*SexAgeSex × age interaction
BMD total hip (g/cm2), mean (s.d.)1·03 (0·14)0·98 (0·13)0·96 (0·15)0·80 (0·13)<0·001
BMI (kg/ m2), mean (s.d.)26·2 (3·3)24·8 (4·0)26·0 (3·1)26·2 (4·2)<0·001
eGFR below 60 ml/min, n (%)12 (1·0)294 (15·8)194 (19·1)652 (54·2)<0·001
Cotinine, n (%)0·001<0·001n.s.
<85 (no nicotine exposure)784 (63·8)1180 (63·4)834 (82·0)1016 (84·4)
85–1000 (light nicotine exposure)139 (11·3)258 (13·9)60 (5·9)97 (8·1)
>1000 (heavy nicotine exposure)306 (24·9)424 (22·8)123 (12·1)91 (7·6)
Inflammatory markers, median (IQR)
CRP (μg/ml)1·2 (2·1)1·0 (2·1)2·1 (3·2)2·1 (3·2)0·030<0·001n.s.
Neopterin (nmol/l)6·6 (2·2)7·0 (2·3)8·6 (3·3)8·7 (3·2)0·004
KTR (×1000)20·1 (6·3)20·0 (6·8)25·8 (9·9)26·2 (9·7)n.s.<0·001n.s.
Metabolites, median (IQR)
Tryptophan (μmol/l)72·3 (18·8)65·7 (17·2)68·5 (17·8)62·5 (17·5)<0·001<0·001n.s.
Kynurenine (μmol/Ll)1·5 (0·4)1·3 (0·4)1·8 (0·6)1·7 (0·6)<0·001<0·001n.s.
Kynurenic acid (nmol/l)45·1 (18·4)39·2 (17·5)54·7 (26·9)48·4 (25·6)<0·001<0·001n.s.
Anthranilic acid (nmol/l)13·0 (5·0)12·7 (5·3)17·0 (7·9)15·9 (6·6)0·004<0·001n.s.
3-Hydroxykynurenine (nmol/l)28·5 (11·8)30·2 (13·2)36·1 (15·1)35·3 (15·3)<0·001
Xanthurenic acid (nmol/l)17·2 (10·2)15·4 (9·8)17·0 (11·1)14·2 (9·1)0·001
3-Hydroxyanthranilic acid (nmol/l)34·8 (17·3)30·9 (15·1)36·7 (19·0)32·9 (17·1)<0·001<0·001n.s.
46–49 years71–74 yearsP-values
Men n = 1229*Women n = 1862*Men n = 1017*Women n = 1204*SexAgeSex × age interaction
BMD total hip (g/cm2), mean (s.d.)1·03 (0·14)0·98 (0·13)0·96 (0·15)0·80 (0·13)<0·001
BMI (kg/ m2), mean (s.d.)26·2 (3·3)24·8 (4·0)26·0 (3·1)26·2 (4·2)<0·001
eGFR below 60 ml/min, n (%)12 (1·0)294 (15·8)194 (19·1)652 (54·2)<0·001
Cotinine, n (%)0·001<0·001n.s.
<85 (no nicotine exposure)784 (63·8)1180 (63·4)834 (82·0)1016 (84·4)
85–1000 (light nicotine exposure)139 (11·3)258 (13·9)60 (5·9)97 (8·1)
>1000 (heavy nicotine exposure)306 (24·9)424 (22·8)123 (12·1)91 (7·6)
Inflammatory markers, median (IQR)
CRP (μg/ml)1·2 (2·1)1·0 (2·1)2·1 (3·2)2·1 (3·2)0·030<0·001n.s.
Neopterin (nmol/l)6·6 (2·2)7·0 (2·3)8·6 (3·3)8·7 (3·2)0·004
KTR (×1000)20·1 (6·3)20·0 (6·8)25·8 (9·9)26·2 (9·7)n.s.<0·001n.s.
Metabolites, median (IQR)
Tryptophan (μmol/l)72·3 (18·8)65·7 (17·2)68·5 (17·8)62·5 (17·5)<0·001<0·001n.s.
Kynurenine (μmol/Ll)1·5 (0·4)1·3 (0·4)1·8 (0·6)1·7 (0·6)<0·001<0·001n.s.
Kynurenic acid (nmol/l)45·1 (18·4)39·2 (17·5)54·7 (26·9)48·4 (25·6)<0·001<0·001n.s.
Anthranilic acid (nmol/l)13·0 (5·0)12·7 (5·3)17·0 (7·9)15·9 (6·6)0·004<0·001n.s.
3-Hydroxykynurenine (nmol/l)28·5 (11·8)30·2 (13·2)36·1 (15·1)35·3 (15·3)<0·001
Xanthurenic acid (nmol/l)17·2 (10·2)15·4 (9·8)17·0 (11·1)14·2 (9·1)0·001
3-Hydroxyanthranilic acid (nmol/l)34·8 (17·3)30·9 (15·1)36·7 (19·0)32·9 (17·1)<0·001<0·001n.s.

*Total numbers may vary between variables according to different numbers of missing data. Groups compared by two-way analysis of variance. Groups compared by binary logistic regression. BMD = bone mineral density; BMI = body mass index; eGFR = estimated glomerular filtration rate; IQR = interquartile range; KTR = kynurenine/tryptophan ratio; n.s. = not significant; P > 0·01; s.d. = standard deviation.

The association between neopterin and KTR for both age groups combined was stronger (rs = 0·55, P < 0·001) than the associations between neopterin and CRP (rs = 0·23, P < 0·001) and KTR and CRP (rs = 0·27, P < 0·001). Spearman's correlation coefficients of CRP, neopterin, KTR, tryptophan and the kynurenines with BMD and the covariables BMI, cotinine and eGFR are shown in Table 2. BMD was associated inversely with neopterin and KTR (KTR only in men) in the oldest age group. For kynurenic acid, xanthurenic acid and 3-hydroxyanthranilic acid, positive associations with BMD were found in all age and sex groups (P < 0·001). Additionally, KTR, kynurenine, kynurenic acid, 3-hydroxykynurenine and 3-hydroxyanthranilic acid, but not neopterin, were correlated significantly with BMI in all age and sex groups.

Table 2

Spearman's correlation coefficients for C-reactive protein (CRP), neopterin, kynurenine/tryptophan ratio (KTR) and kynurenines versus bone mineral density (BMD) and covariates [body mass index (BMI), cotinine and eGFR] in the Hordaland Health Study (n = 5312).

46–49 years71–74 years
Men (n = 1229)Women (n = 1862)Men (n = 1017)Women (n = 1204)
BMDBMICoteGFRBMDBMICoteGFRBMDBMICoteGFRBMDBMICoteGFR
CRP0·020·27a0·26a−0·040·10a0·37a0·12a0·00−0·07c0·18a0·16a−0·060·14a0·34a0·04−0·09c
Neopterin0·05−0·01−0·14a−0·06c0·00−0·01−0·03−0·15a−0·13a0·02−0·03−0·33a−0·07c0·000·00−0·26a
KTR0·040·10b−0·10b−0·09b0·040·12a−0·01−0·16a−0·08a0·11c−0·04−0·36a0·010·16a0·03−0·29a
Tryptophan0·060·13a−0·05−0·030·05c0·02−0·08b0·010·15a0·09b−0·10b0·11a0·14a0·06c−0·11a0·00
Kynurenine0·09b0·20a−0·16a−0·10a0·09a0·14a−0·08a−0·17a0·020·21a−0·13a−0·34a0·13a0·22a−0·05−0·33a
Kynurenic acid0·12a0·19a−0·10a−0·10a0·08a0·08a−0·03−0·16a0·13a0·25a−0·07c−0·39a0·17a0·21a−0·09b−0·30a
Anthranilic acid0·07c0·00−0·21a−0·06c−0·02−0·04−0·14a−0·13a0·010·03−0·14a−0·21a0·050·07c−0·10b−0·22a
3-Hydroxykynurenine0·06c0·14a−0·03−0·13a0·07b0·12a−0·01−0·13a0·030·14a−0·04−0·33a0·07c0·18a−0·02−0·28a
Xanthurenic acid0·10a0·15a−0·04−0·08b0·11a0·04−0·08b−0·11a0·20a0·18a−0·06−0·24a0·19a0·16a−0·06c−0·17a
3-Hydroxyanthranilic acid0·10a0·23a−0·02−0·040·11a0·14a−0·07b−0·05c0·16a0·20a−0·11a−0·14a0·16a0·18a−0·10b−0·09b
46–49 years71–74 years
Men (n = 1229)Women (n = 1862)Men (n = 1017)Women (n = 1204)
BMDBMICoteGFRBMDBMICoteGFRBMDBMICoteGFRBMDBMICoteGFR
CRP0·020·27a0·26a−0·040·10a0·37a0·12a0·00−0·07c0·18a0·16a−0·060·14a0·34a0·04−0·09c
Neopterin0·05−0·01−0·14a−0·06c0·00−0·01−0·03−0·15a−0·13a0·02−0·03−0·33a−0·07c0·000·00−0·26a
KTR0·040·10b−0·10b−0·09b0·040·12a−0·01−0·16a−0·08a0·11c−0·04−0·36a0·010·16a0·03−0·29a
Tryptophan0·060·13a−0·05−0·030·05c0·02−0·08b0·010·15a0·09b−0·10b0·11a0·14a0·06c−0·11a0·00
Kynurenine0·09b0·20a−0·16a−0·10a0·09a0·14a−0·08a−0·17a0·020·21a−0·13a−0·34a0·13a0·22a−0·05−0·33a
Kynurenic acid0·12a0·19a−0·10a−0·10a0·08a0·08a−0·03−0·16a0·13a0·25a−0·07c−0·39a0·17a0·21a−0·09b−0·30a
Anthranilic acid0·07c0·00−0·21a−0·06c−0·02−0·04−0·14a−0·13a0·010·03−0·14a−0·21a0·050·07c−0·10b−0·22a
3-Hydroxykynurenine0·06c0·14a−0·03−0·13a0·07b0·12a−0·01−0·13a0·030·14a−0·04−0·33a0·07c0·18a−0·02−0·28a
Xanthurenic acid0·10a0·15a−0·04−0·08b0·11a0·04−0·08b−0·11a0·20a0·18a−0·06−0·24a0·19a0·16a−0·06c−0·17a
3-Hydroxyanthranilic acid0·10a0·23a−0·02−0·040·11a0·14a−0·07b−0·05c0·16a0·20a−0·11a−0·14a0·16a0·18a−0·10b−0·09b

aP < 0·001; bP < 0·01; cP < 0·05. Cot = cotinine; eGFR = estimated glomerular filtration rate (over/below 60 ml/min).

Table 2

Spearman's correlation coefficients for C-reactive protein (CRP), neopterin, kynurenine/tryptophan ratio (KTR) and kynurenines versus bone mineral density (BMD) and covariates [body mass index (BMI), cotinine and eGFR] in the Hordaland Health Study (n = 5312).

46–49 years71–74 years
Men (n = 1229)Women (n = 1862)Men (n = 1017)Women (n = 1204)
BMDBMICoteGFRBMDBMICoteGFRBMDBMICoteGFRBMDBMICoteGFR
CRP0·020·27a0·26a−0·040·10a0·37a0·12a0·00−0·07c0·18a0·16a−0·060·14a0·34a0·04−0·09c
Neopterin0·05−0·01−0·14a−0·06c0·00−0·01−0·03−0·15a−0·13a0·02−0·03−0·33a−0·07c0·000·00−0·26a
KTR0·040·10b−0·10b−0·09b0·040·12a−0·01−0·16a−0·08a0·11c−0·04−0·36a0·010·16a0·03−0·29a
Tryptophan0·060·13a−0·05−0·030·05c0·02−0·08b0·010·15a0·09b−0·10b0·11a0·14a0·06c−0·11a0·00
Kynurenine0·09b0·20a−0·16a−0·10a0·09a0·14a−0·08a−0·17a0·020·21a−0·13a−0·34a0·13a0·22a−0·05−0·33a
Kynurenic acid0·12a0·19a−0·10a−0·10a0·08a0·08a−0·03−0·16a0·13a0·25a−0·07c−0·39a0·17a0·21a−0·09b−0·30a
Anthranilic acid0·07c0·00−0·21a−0·06c−0·02−0·04−0·14a−0·13a0·010·03−0·14a−0·21a0·050·07c−0·10b−0·22a
3-Hydroxykynurenine0·06c0·14a−0·03−0·13a0·07b0·12a−0·01−0·13a0·030·14a−0·04−0·33a0·07c0·18a−0·02−0·28a
Xanthurenic acid0·10a0·15a−0·04−0·08b0·11a0·04−0·08b−0·11a0·20a0·18a−0·06−0·24a0·19a0·16a−0·06c−0·17a
3-Hydroxyanthranilic acid0·10a0·23a−0·02−0·040·11a0·14a−0·07b−0·05c0·16a0·20a−0·11a−0·14a0·16a0·18a−0·10b−0·09b
46–49 years71–74 years
Men (n = 1229)Women (n = 1862)Men (n = 1017)Women (n = 1204)
BMDBMICoteGFRBMDBMICoteGFRBMDBMICoteGFRBMDBMICoteGFR
CRP0·020·27a0·26a−0·040·10a0·37a0·12a0·00−0·07c0·18a0·16a−0·060·14a0·34a0·04−0·09c
Neopterin0·05−0·01−0·14a−0·06c0·00−0·01−0·03−0·15a−0·13a0·02−0·03−0·33a−0·07c0·000·00−0·26a
KTR0·040·10b−0·10b−0·09b0·040·12a−0·01−0·16a−0·08a0·11c−0·04−0·36a0·010·16a0·03−0·29a
Tryptophan0·060·13a−0·05−0·030·05c0·02−0·08b0·010·15a0·09b−0·10b0·11a0·14a0·06c−0·11a0·00
Kynurenine0·09b0·20a−0·16a−0·10a0·09a0·14a−0·08a−0·17a0·020·21a−0·13a−0·34a0·13a0·22a−0·05−0·33a
Kynurenic acid0·12a0·19a−0·10a−0·10a0·08a0·08a−0·03−0·16a0·13a0·25a−0·07c−0·39a0·17a0·21a−0·09b−0·30a
Anthranilic acid0·07c0·00−0·21a−0·06c−0·02−0·04−0·14a−0·13a0·010·03−0·14a−0·21a0·050·07c−0·10b−0·22a
3-Hydroxykynurenine0·06c0·14a−0·03−0·13a0·07b0·12a−0·01−0·13a0·030·14a−0·04−0·33a0·07c0·18a−0·02−0·28a
Xanthurenic acid0·10a0·15a−0·04−0·08b0·11a0·04−0·08b−0·11a0·20a0·18a−0·06−0·24a0·19a0·16a−0·06c−0·17a
3-Hydroxyanthranilic acid0·10a0·23a−0·02−0·040·11a0·14a−0·07b−0·05c0·16a0·20a−0·11a−0·14a0·16a0·18a−0·10b−0·09b

aP < 0·001; bP < 0·01; cP < 0·05. Cot = cotinine; eGFR = estimated glomerular filtration rate (over/below 60 ml/min).

In multiple adjusted linear regression analyses, BMD was associated negatively with CRP only in the oldest men (Table 3). Further, BMD was associated negatively with neopterin and KTR in the oldest, but not in the middle‐aged group. Among the kynurenines, positive associations with BMD were found for xanthurenic acid (all sex and age groups) and 3‐hydroxyanthtranilic acid (women only).

Table 3

Associations between inflammatory markers/metabolites of the kynurenine pathway and bone mineral density in multiple linear regression analysis,* the Hordaland Health Study (n = 5312).

46–49 years71–74 years
Men (n = 1166–1229)Women (n = 1776–1862)Men (n = 976–1017)Women (n = 1161–1204)
BetaP-valueBetaP-valueBetaP-valueBetaP-value
CRP (μg/ml)−0·020·390·000·92−0·090·0030·010·73
Neopterin (nmol/l)0·010·67−0·020·34−0·13<0·001−0·060·019
KTR0·000·88−0·020·34−0·12<0·001−0·090·001
Tryptophan (μmol/l)0·030·290·030·190·11<0·0010·10<0·001
Kynurenine (μmol/l)0·020·600·000·98−0·040·160·000·89
Kynurenic acid (nmol/l)0·030·280·040·0540·010·690·030·26
Anthranilic acid (nmol/l)0·040·17−0·030·15−0·020·48−0·010·80
3-Hydroxykynurenine (nmol/L)0·030·22−0·010·73−0·030·38−0·040·12
Xanthurenic acid (nmol/l)0·070·0130·08<0·0010·14<0·0010·12<0·001
3-Hydroxyanthranilic acid (nmol/l)0·030·350·060·0100·050·110·070·005
46–49 years71–74 years
Men (n = 1166–1229)Women (n = 1776–1862)Men (n = 976–1017)Women (n = 1161–1204)
BetaP-valueBetaP-valueBetaP-valueBetaP-value
CRP (μg/ml)−0·020·390·000·92−0·090·0030·010·73
Neopterin (nmol/l)0·010·67−0·020·34−0·13<0·001−0·060·019
KTR0·000·88−0·020·34−0·12<0·001−0·090·001
Tryptophan (μmol/l)0·030·290·030·190·11<0·0010·10<0·001
Kynurenine (μmol/l)0·020·600·000·98−0·040·160·000·89
Kynurenic acid (nmol/l)0·030·280·040·0540·010·690·030·26
Anthranilic acid (nmol/l)0·040·17−0·030·15−0·020·48−0·010·80
3-Hydroxykynurenine (nmol/L)0·030·22−0·010·73−0·030·38−0·040·12
Xanthurenic acid (nmol/l)0·070·0130·08<0·0010·14<0·0010·12<0·001
3-Hydroxyanthranilic acid (nmol/l)0·030·350·060·0100·050·110·070·005

*Adjustments were made for body mass index, cotinine and estimated glomerular filtration rate (over/below 60 ml/min). Numbers vary according to analysed metabolite. Beta = estimated standardized regression coefficient; CRP = C-reactive protein; KTR = kynurenine/tryptophan ratio.

Table 3

Associations between inflammatory markers/metabolites of the kynurenine pathway and bone mineral density in multiple linear regression analysis,* the Hordaland Health Study (n = 5312).

46–49 years71–74 years
Men (n = 1166–1229)Women (n = 1776–1862)Men (n = 976–1017)Women (n = 1161–1204)
BetaP-valueBetaP-valueBetaP-valueBetaP-value
CRP (μg/ml)−0·020·390·000·92−0·090·0030·010·73
Neopterin (nmol/l)0·010·67−0·020·34−0·13<0·001−0·060·019
KTR0·000·88−0·020·34−0·12<0·001−0·090·001
Tryptophan (μmol/l)0·030·290·030·190·11<0·0010·10<0·001
Kynurenine (μmol/l)0·020·600·000·98−0·040·160·000·89
Kynurenic acid (nmol/l)0·030·280·040·0540·010·690·030·26
Anthranilic acid (nmol/l)0·040·17−0·030·15−0·020·48−0·010·80
3-Hydroxykynurenine (nmol/L)0·030·22−0·010·73−0·030·38−0·040·12
Xanthurenic acid (nmol/l)0·070·0130·08<0·0010·14<0·0010·12<0·001
3-Hydroxyanthranilic acid (nmol/l)0·030·350·060·0100·050·110·070·005
46–49 years71–74 years
Men (n = 1166–1229)Women (n = 1776–1862)Men (n = 976–1017)Women (n = 1161–1204)
BetaP-valueBetaP-valueBetaP-valueBetaP-value
CRP (μg/ml)−0·020·390·000·92−0·090·0030·010·73
Neopterin (nmol/l)0·010·67−0·020·34−0·13<0·001−0·060·019
KTR0·000·88−0·020·34−0·12<0·001−0·090·001
Tryptophan (μmol/l)0·030·290·030·190·11<0·0010·10<0·001
Kynurenine (μmol/l)0·020·600·000·98−0·040·160·000·89
Kynurenic acid (nmol/l)0·030·280·040·0540·010·690·030·26
Anthranilic acid (nmol/l)0·040·17−0·030·15−0·020·48−0·010·80
3-Hydroxykynurenine (nmol/L)0·030·22−0·010·73−0·030·38−0·040·12
Xanthurenic acid (nmol/l)0·070·0130·08<0·0010·14<0·0010·12<0·001
3-Hydroxyanthranilic acid (nmol/l)0·030·350·060·0100·050·110·070·005

*Adjustments were made for body mass index, cotinine and estimated glomerular filtration rate (over/below 60 ml/min). Numbers vary according to analysed metabolite. Beta = estimated standardized regression coefficient; CRP = C-reactive protein; KTR = kynurenine/tryptophan ratio.

The risk of having low BMD (being in the lowest quintile of BMD) was assessed by logistic regression analyses (Table 4). In the oldest, a higher OR for low BMD was found in the highest, compared to the lowest, quartiles of CRP (only men), neopterin and KTR. The OR for low BMD was decreased significantly in the highest compared to the lowest quartiles of tryptophan, xanthurenic acid and 3‐hydroxyanthranilic acid among both older men and women, and increased for the highest quartile of 3‐hydroxykynurenine in older women. Corresponding analyses in the age group 46–49 years yielded no significant trends or associations (data not shown).

Table 4

Multiple logistic regression analyses†0 of low bone mineral density (lowest quintile of BMD) among older men and women, according to quartiles (Q1: lowest, Q4: highest) of CRP, neopterin, KTR and metabolites of the kynurenine pathway, the Hordaland Health Study (n = 2221).

Men 71–74 years

(n = 976–1017)

Women 71–74 years

(n = 1161–1204)

Q1 (ref)Q2 OR (95% CI)Q3 OR (95% CI)Q4 OR (95% CI)P for trendQ1 (ref)Q2 OR (95% CI)Q3 OR (95% CI)Q4 OR (95% CI)P for trend
CRP1·001·31 (0·82, 2·10)1·30 (0·79, 2·15)1·68 (1·05, 2·69)0·0411·000·96 (0·62, 1·47)1·14 (0·73, 1·79)1·44 (0·91, 2·27)0·11
Neopterin1·001·04 (0·65, 1·67)0·97(0·60, 1·57)2·01 (1·26, 3·21)0·0071·001·50 (0·95, 2·37)1·28 (0·80, 2·05)2·34 (1·48, 3·71)0·001
KTR1·001·31 (0·82, 2·10)1·41 (0·88, 2·26)1·80 (1·10, 2·95)0·0221·001·38 (0·90, 2·13)1·17 (0·74, 1·86)2·04 (1·30, 3·21)0·007
Tryptophan1·000·77 (0·50, 1·19)0·69 (0·44, 1·08)0·51 (0·32, 0·82)0·0061·001·06 (0·70, 1·61)0·70 (0·45, 1·09)0·66 (0·43, 1·03)0·022
Kynurenine1·000·74 (0·46, 1·17)1·10 (0·70, 1·73)1·12 (0·69, 1·81)0·411·000·84 (0·55, 1·29)0·84 (0·54, 1·31)1·40 (0·89, 2·20)0·22
Kynurenic acid1·000·86 (0·55, 1·32)0·71 (0·45, 1·13)0·81 (0·50, 1·34)0·271·000·65 (0·43, 1·00)0·81 (0·53, 1·25)0·79 (0·50, 1·25)0·43
Anthranilic acid1·001·04 (0·66, 1·63)0·82 (0·51, 1·32)1·05 (0·66, 1·68)0·931·000·77 (0·49, 1·19)0·92 (0·60, 1·43)1·02 (0·66, 1·59)0·76
3-Hydroxykynurenine1·001·03 (0·66, 1·62)0·94 (0·59, 1·51)1·26 (0·78, 2·04)0·451·001·01 (0·65, 1·55)0·96 (0·61, 1·51)1·65 (1·06, 2·58)0·050
Xanthurenic acid1·000·57 (0·37, 0·89)0·77 (0·50, 1·19)0·54 (0·33, 0·87)0·0331·000·92 (0·61, 1·38)0·76 (0·49, 1·16)0·53 (0·33, 0·84)0·007
3-Hydroxyanthranilic acid1·000·61 (0·39, 0·94)0·59 (0·38, 0·93)0·56 (0·35, 0·88)0·0111·000·85 (0·57, 1·27)0·66 (0·43, 1·01)0·57 (0·37, 0·90)0·007

Men 71–74 years

(n = 976–1017)

Women 71–74 years

(n = 1161–1204)

Q1 (ref)Q2 OR (95% CI)Q3 OR (95% CI)Q4 OR (95% CI)P for trendQ1 (ref)Q2 OR (95% CI)Q3 OR (95% CI)Q4 OR (95% CI)P for trend
CRP1·001·31 (0·82, 2·10)1·30 (0·79, 2·15)1·68 (1·05, 2·69)0·0411·000·96 (0·62, 1·47)1·14 (0·73, 1·79)1·44 (0·91, 2·27)0·11
Neopterin1·001·04 (0·65, 1·67)0·97(0·60, 1·57)2·01 (1·26, 3·21)0·0071·001·50 (0·95, 2·37)1·28 (0·80, 2·05)2·34 (1·48, 3·71)0·001
KTR1·001·31 (0·82, 2·10)1·41 (0·88, 2·26)1·80 (1·10, 2·95)0·0221·001·38 (0·90, 2·13)1·17 (0·74, 1·86)2·04 (1·30, 3·21)0·007
Tryptophan1·000·77 (0·50, 1·19)0·69 (0·44, 1·08)0·51 (0·32, 0·82)0·0061·001·06 (0·70, 1·61)0·70 (0·45, 1·09)0·66 (0·43, 1·03)0·022
Kynurenine1·000·74 (0·46, 1·17)1·10 (0·70, 1·73)1·12 (0·69, 1·81)0·411·000·84 (0·55, 1·29)0·84 (0·54, 1·31)1·40 (0·89, 2·20)0·22
Kynurenic acid1·000·86 (0·55, 1·32)0·71 (0·45, 1·13)0·81 (0·50, 1·34)0·271·000·65 (0·43, 1·00)0·81 (0·53, 1·25)0·79 (0·50, 1·25)0·43
Anthranilic acid1·001·04 (0·66, 1·63)0·82 (0·51, 1·32)1·05 (0·66, 1·68)0·931·000·77 (0·49, 1·19)0·92 (0·60, 1·43)1·02 (0·66, 1·59)0·76
3-Hydroxykynurenine1·001·03 (0·66, 1·62)0·94 (0·59, 1·51)1·26 (0·78, 2·04)0·451·001·01 (0·65, 1·55)0·96 (0·61, 1·51)1·65 (1·06, 2·58)0·050
Xanthurenic acid1·000·57 (0·37, 0·89)0·77 (0·50, 1·19)0·54 (0·33, 0·87)0·0331·000·92 (0·61, 1·38)0·76 (0·49, 1·16)0·53 (0·33, 0·84)0·007
3-Hydroxyanthranilic acid1·000·61 (0·39, 0·94)0·59 (0·38, 0·93)0·56 (0·35, 0·88)0·0111·000·85 (0·57, 1·27)0·66 (0·43, 1·01)0·57 (0·37, 0·90)0·007

*Adjusted for body mass index, cotinine and eGFR. Numbers vary according to analyzed metabolite. BMD = bone mineral density; CI = confidence interval; CRP = C-reactive protein; eGFR = estimated glomerular filtration rate (over/ below 60 ml/min); KTR = kynurenine/tryptophan ratio; OR = odds ratio.

Table 4

Multiple logistic regression analyses†0 of low bone mineral density (lowest quintile of BMD) among older men and women, according to quartiles (Q1: lowest, Q4: highest) of CRP, neopterin, KTR and metabolites of the kynurenine pathway, the Hordaland Health Study (n = 2221).

Men 71–74 years

(n = 976–1017)

Women 71–74 years

(n = 1161–1204)

Q1 (ref)Q2 OR (95% CI)Q3 OR (95% CI)Q4 OR (95% CI)P for trendQ1 (ref)Q2 OR (95% CI)Q3 OR (95% CI)Q4 OR (95% CI)P for trend
CRP1·001·31 (0·82, 2·10)1·30 (0·79, 2·15)1·68 (1·05, 2·69)0·0411·000·96 (0·62, 1·47)1·14 (0·73, 1·79)1·44 (0·91, 2·27)0·11
Neopterin1·001·04 (0·65, 1·67)0·97(0·60, 1·57)2·01 (1·26, 3·21)0·0071·001·50 (0·95, 2·37)1·28 (0·80, 2·05)2·34 (1·48, 3·71)0·001
KTR1·001·31 (0·82, 2·10)1·41 (0·88, 2·26)1·80 (1·10, 2·95)0·0221·001·38 (0·90, 2·13)1·17 (0·74, 1·86)2·04 (1·30, 3·21)0·007
Tryptophan1·000·77 (0·50, 1·19)0·69 (0·44, 1·08)0·51 (0·32, 0·82)0·0061·001·06 (0·70, 1·61)0·70 (0·45, 1·09)0·66 (0·43, 1·03)0·022
Kynurenine1·000·74 (0·46, 1·17)1·10 (0·70, 1·73)1·12 (0·69, 1·81)0·411·000·84 (0·55, 1·29)0·84 (0·54, 1·31)1·40 (0·89, 2·20)0·22
Kynurenic acid1·000·86 (0·55, 1·32)0·71 (0·45, 1·13)0·81 (0·50, 1·34)0·271·000·65 (0·43, 1·00)0·81 (0·53, 1·25)0·79 (0·50, 1·25)0·43
Anthranilic acid1·001·04 (0·66, 1·63)0·82 (0·51, 1·32)1·05 (0·66, 1·68)0·931·000·77 (0·49, 1·19)0·92 (0·60, 1·43)1·02 (0·66, 1·59)0·76
3-Hydroxykynurenine1·001·03 (0·66, 1·62)0·94 (0·59, 1·51)1·26 (0·78, 2·04)0·451·001·01 (0·65, 1·55)0·96 (0·61, 1·51)1·65 (1·06, 2·58)0·050
Xanthurenic acid1·000·57 (0·37, 0·89)0·77 (0·50, 1·19)0·54 (0·33, 0·87)0·0331·000·92 (0·61, 1·38)0·76 (0·49, 1·16)0·53 (0·33, 0·84)0·007
3-Hydroxyanthranilic acid1·000·61 (0·39, 0·94)0·59 (0·38, 0·93)0·56 (0·35, 0·88)0·0111·000·85 (0·57, 1·27)0·66 (0·43, 1·01)0·57 (0·37, 0·90)0·007

Men 71–74 years

(n = 976–1017)

Women 71–74 years

(n = 1161–1204)

Q1 (ref)Q2 OR (95% CI)Q3 OR (95% CI)Q4 OR (95% CI)P for trendQ1 (ref)Q2 OR (95% CI)Q3 OR (95% CI)Q4 OR (95% CI)P for trend
CRP1·001·31 (0·82, 2·10)1·30 (0·79, 2·15)1·68 (1·05, 2·69)0·0411·000·96 (0·62, 1·47)1·14 (0·73, 1·79)1·44 (0·91, 2·27)0·11
Neopterin1·001·04 (0·65, 1·67)0·97(0·60, 1·57)2·01 (1·26, 3·21)0·0071·001·50 (0·95, 2·37)1·28 (0·80, 2·05)2·34 (1·48, 3·71)0·001
KTR1·001·31 (0·82, 2·10)1·41 (0·88, 2·26)1·80 (1·10, 2·95)0·0221·001·38 (0·90, 2·13)1·17 (0·74, 1·86)2·04 (1·30, 3·21)0·007
Tryptophan1·000·77 (0·50, 1·19)0·69 (0·44, 1·08)0·51 (0·32, 0·82)0·0061·001·06 (0·70, 1·61)0·70 (0·45, 1·09)0·66 (0·43, 1·03)0·022
Kynurenine1·000·74 (0·46, 1·17)1·10 (0·70, 1·73)1·12 (0·69, 1·81)0·411·000·84 (0·55, 1·29)0·84 (0·54, 1·31)1·40 (0·89, 2·20)0·22
Kynurenic acid1·000·86 (0·55, 1·32)0·71 (0·45, 1·13)0·81 (0·50, 1·34)0·271·000·65 (0·43, 1·00)0·81 (0·53, 1·25)0·79 (0·50, 1·25)0·43
Anthranilic acid1·001·04 (0·66, 1·63)0·82 (0·51, 1·32)1·05 (0·66, 1·68)0·931·000·77 (0·49, 1·19)0·92 (0·60, 1·43)1·02 (0·66, 1·59)0·76
3-Hydroxykynurenine1·001·03 (0·66, 1·62)0·94 (0·59, 1·51)1·26 (0·78, 2·04)0·451·001·01 (0·65, 1·55)0·96 (0·61, 1·51)1·65 (1·06, 2·58)0·050
Xanthurenic acid1·000·57 (0·37, 0·89)0·77 (0·50, 1·19)0·54 (0·33, 0·87)0·0331·000·92 (0·61, 1·38)0·76 (0·49, 1·16)0·53 (0·33, 0·84)0·007
3-Hydroxyanthranilic acid1·000·61 (0·39, 0·94)0·59 (0·38, 0·93)0·56 (0·35, 0·88)0·0111·000·85 (0·57, 1·27)0·66 (0·43, 1·01)0·57 (0·37, 0·90)0·007

*Adjusted for body mass index, cotinine and eGFR. Numbers vary according to analyzed metabolite. BMD = bone mineral density; CI = confidence interval; CRP = C-reactive protein; eGFR = estimated glomerular filtration rate (over/ below 60 ml/min); KTR = kynurenine/tryptophan ratio; OR = odds ratio.

Discussion

In this study, we have investigated BMD in relation to two markers of IFN-γ-mediated inflammation, neopterin and KTR, as well as the relation between BMD and metabolites of the kynurenine pathway. BMD was associated inversely with neopterin and KTR in the older (71–74 years) but not the middle-aged (46–49 years) groups. BMD showed a positive association with xanthurenic acid in all age–sex groups and with 3-hydroxyanthranilic acid among women in both age groups. Further, the proportion of older men and women with low BMD was significantly smaller in the lowest compared to the highest quartile of 3-hydroxyanthranilic acid.

The strengths of this study include the large number of participants of both genders, and the comprehensive laboratory analyses quantifying neopterin as well as all kynurenines along the pathway from tryptophan to 3-hydroxyanthranilic acid by a single analytical method for each subject. A limitation includes the cross-sectional design, which does not preclude reverse causation. In this study plasma metabolites were measured only at a single time-point, which does not necessarily reflect possible long-term changes during the progression of osteoporosis [43].

The inflammatory markers neopterin and KTR have been reported previously to be associated positively with age-related diseases [33,44]. KTR is also associated directly with BMI [45,46] and smoking [47], and inversely with renal function [46,48]. These three factors are strong predictors of BMD [49] and were therefore adjusted for as potential confounders in the analyses. Concentrations of neopterin, tryptophan and kynurenine were comparable to levels found in other studies [33,50]. 3-Hydroxykynurenine and 3-hydroxyanthranilic acid are labile compounds, but concentrations in the present study were comparable to previously published levels from analyses in fresh blood [40].

Tumour necrosis factor (TNF), interleukin (IL)-1 and IL-6 are major stimulators of CRP release. These inflammatory cytokines may mediate bone loss directly by stimulating osteoclast formation and maturation or indirectly by promoting RANKL release, thereby increasing osteoclast activity [15,51]. In the present study a negative association between CRP and BMD was found only among elderly men. Among elderly women we found an association of BMD in total hip with CRP in bivariate, but not in multiple adjusted analyses, which is in concordance with one other study [11]. Previously, an inverse association between BMD and CRP has been found in some [7,8] but not all studies [9,10].

IFN-γ is the principal inducer of neopterin production and the kynurenine pathway, and is produced locally in bone tissue by cells of immune origin and mesenchymal stem cells [52]. IFN-γ is an inhibitor of osteoclast formation and bone resorption [52], but may exhibit a dual effect on bone [15]. In a mouse model mimicking inflammation, infection and oestrogen deficiency, i.e. various conditions predisposing to bone loss, the net effect of IFN-γ was pro-resorptive [5]. This finding is in concordance with our study, where the inflammatory markers neopterin and KTR were associated inversely with BMD among the oldest participants. This inverse association was most evident in elderly patients with low BMD, and strongest among older women. IFN-γ signalling as a target for treatment of osteoporosis has been proposed [5,53]. In contrast, in a study comparing cytokine gene expression in bone tissue from osteoporotic versus osteoarthritic patients, a higher expression of IFN-γ-related genes in osteoarthritic hip specimens was found, indicating an anti-osteoclastogenic activity of IFN-γ [54]. Although this study is not directly comparable with the present study, the conflicting results may indicate a difference in local versus systemic impact of IFN-γ activity.

Besides being a marker of IFN-γ activity, elevated neopterin also reflects increased production of reactive oxygen species [55], and its concentration in serum is correlated with the clinical course of infections with viruses, intracellular bacteria or parasites and is increased in patients with malignant tumour [56,57]. Patients with chronic infection or cancer are predisposed to bone loss [1,58], and additional mechanisms may be involved that are not mediated by IFN-γ.

As the kynurenine pathway is induced by inflammation, a negative association with the kynurenine metabolites and BMD could be expected. An unexpected finding was the positive association of BMD with xanthurenic acid and 3-hydroxyanthranilic acid. However, 3-hydroxyanthranilic acid has been found earlier to inhibit proinflammatory cytokines and may down-regulate neuroinflammation [59]. Further, low 3-hydroxyanthranilic acid among osteoporotic patients compared to controls was found in a study by Forrest et al. [36], findings which are in concordance with ours. Xanthurenic acid has been associated with cell apoptosis and oxidative stress in experimental studies and putatively related to ageing and disease development [60,61]. We found, however, that xanthurenic acid was associated positively with BMD in both age and sex groups, suggesting a bone protective role for this metabolite. This finding illustrates the complexity of the kynurenine pathway, as metabolites may possess both pro- and anti-inflammatory properties, possibly dependent upon the organs or tissues involved.

Cortical bone loss is particularly rapid during the first years after menopause in women, but gradually slows down and becomes more similar to bone loss in men [62]. Experimental evidence suggests that oestrogen withdrawal at menopause leads to activation of T cells and thereby increased release of IFN-γ [14]. We did not find any significant associations between BMD and the inflammation markers among women aged 46–49 years in our study, the age during which postmenopausal-accelerated bone loss is expected to begin. However, the cross-sectional design of our study is not optimal to detect any such associations related to bone loss induced by oestrogen deficiency.

In conclusion, the previously reported association between inflammation and BMD [1] was confirmed for the oldest subjects in this study. Associations between several of the kynurenines and BMD indicate a role of the IFN-γ-activated kynurenine pathway in bone metabolism. Our study suggests that neopterin and KTR are independent risk factors for low BMD, but it remains unclear as to whether this is mediated directly by these metabolites, or whether IFN-γ-mediated inflammation and bone degradation are stimulated by a common causal factor through separate mechanisms. Possible separate effects of tryptophan degradation products on bone tissue should be investigated further in experimental studies. Prospective studies are required to assess whether altered levels of kynurenines precede the onset of bone loss.

Disclosures

All authors state that they have no conflicts of interest.

Author contributions

E. M. A., C. G. G., P. M. U. and G. S. T. designed the study. The study was conducted by P. M. U. and G. S. T. C. G. G., P. M., Ø. M., K. M. and G. S. T. collected the data. The data were analysed by E. M. A., G. E. E. and A. U. and were interpreted by E. M. A., C. G. G., P. M. U., Ø. M., A. U., G. E. E., K. M. and G. S. T. E. M. A., C. G. G., P. M. U. and G. S. T. drafted the manuscript and E. M. A., C. G. G., P. M. U., Ø. M., A. U., G. E. E., K. M. and G. S. T. revised the manuscript content. E. M. A., C. G. G., P. M. U., Ø. M., A. U., G. E. E., K. M. and G. S. T. approved the final version of manuscript. E. M. A. takes responsibility for the integrity of the data analysis.

References

Hardy
 
R
,
Cooper
 
MS
.
Bone loss in inflammatory disorders
.
J Endocrinol
 
2009
;
201
:
309
320
.

Boyle
 
WJ
,
Simonet
 
WS
,
Lacey
 
DL
.
Osteoclast differentiation and activation
.
Nature
 
2003
;
423
:
337
342
.

Nakashima
 
T
,
Hayashi
 
M
,
Fukunaga
 
T
et al.  
Evidence for osteocyte regulation of bone homeostasis through RANKL expression
.
Nat Med
 
2011
;
17
:
1231
1234
.

Kong
 
YY
,
Feige
 
U
,
Sarosi
 
I
et al.  
Activated T cells regulate bone loss and joint destruction in adjuvant arthritis through osteoprotegerin ligand
.
Nature
 
1999
;
402
:
304
309
.

Gao
 
Y
,
Grassi
 
F
,
Ryan
 
MR
et al.  
IFN-gamma stimulates osteoclast formation and bone loss in vivo via antigen-driven T cell activation
.
J Clin Invest
 
2007
;
117
:
122
132
.

Schultz
 
DR
,
Arnold
 
PI
.
Properties of four acute phase proteins: C-reactive protein, serum amyloid A protein, alpha 1-acid glycoprotein, and fibrinogen
.
Semin Arthritis Rheum
 
1990
;
20
:
129
147
.

de Pablo
 
P
,
Cooper
 
MS
,
Buckley
 
CD
.
Association between bone mineral density and C-reactive protein in a large population-based sample
.
Arthritis Rheum
 
2012
;
64
:
2624
2631
.

Koh
 
JM
,
Khang
 
YH
,
Jung
 
CH
et al.  
Higher circulating hsCRP levels are associated with lower bone mineral density in healthy pre- and postmenopausal women: evidence for a link between systemic inflammation and osteoporosis
.
Osteoporos Int
 
2005
;
16
:
1263
1271
.

Bhupatihiraju
 
SN
,
Alekel
 
DL
,
Stewart
 
JW
et al.  
Relationship of circulating total homocysteine and C-reactive protein to trabecular bone in postmenopausal women
.
J Clin Densitom
 
2007
;
10
:
395
403
.

Schett
 
G
,
Kiechl
 
S
,
Weger
 
S
et al.  
High-sensitivity C-reactive protein and risk of nontraumatic fractures in the Bruneck study
.
Arch Intern Med
 
2006
;
166
:
2495
2501
.

Ganesan
 
K
,
Teklehaimanot
 
S
,
Tran
 
TH
,
Asuncion
 
M
,
Norris
 
K
.
Relationship of C-reactive protein and bone mineral density in community-dwelling elderly females
.
J Natl Med Assoc
 
2005
;
97
:
329
333
.

Taubman
 
MA
,
Kawai
 
T
.
Involvement of T-lymphocytes in periodontal disease and in direct and indirect induction of bone resorption
.
Crit Rev Oral Biol Med
 
2001
;
12
:
125
135
.

van Roon
 
JA
,
Glaudemans
 
KA
,
Bijlsma
 
JW
,
Lafeber
 
FP
.
Interleukin 7 stimulates tumour necrosis factor alpha and Th1 cytokine production in joints of patients with rheumatoid arthritis
.
Ann Rheum Dis
 
2003
;
62
:
113
119
.

Weitzmann
 
MN
,
Pacifici
 
R
.
T cells: unexpected players in the bone loss induced by estrogen deficiency and in basal bone homeostasis
.
Ann NY Acad Sci
 
2007
;
1116
:
360
375
.

Lorenzo
 
J
,
Horowitz
 
M
,
Choi
 
Y
.
Osteoimmunology: interactions of the bone and immune system
.
Endocr Rev
 
2008
;
29
:
403
440
.

Huber
 
C
,
Batchelor
 
JR
,
Fuchs
 
D
et al.  
Immune response-associated production of neopterin. Release from macrophages primarily under control of interferon-gamma
.
J Exp Med
 
1984
;
160
:
310
316
.

Munn
 
DH
,
Sharma
 
MD
,
Lee
 
JR
et al.  
Potential regulatory function of human dendritic cells expressing indoleamine 2,3-dioxygenase
.
Science
 
2002
;
297
:
1867
1870
.

Schrocksnadel
 
K
,
Wirleitner
 
B
,
Winkler
 
C
,
Fuchs
 
D
.
Monitoring tryptophan metabolism in chronic immune activation
.
Clin Chim Acta
 
2006
;
364
:
82
90
.

Fuchs
 
D
,
Moller
 
AA
,
Reibnegger
 
G
,
Stockle
 
E
,
Werner
 
ER
,
Wachter
 
H
.
Decreased serum tryptophan in patients with HIV-1 infection correlates with increased serum neopterin and with neurologic/psychiatric symptoms
.
J Acquir Immune Defic Syndr
 
1990
;
3
:
873
876
.

Ozaki
 
Y
,
Edelstein
 
MP
,
Duch
 
DS
.
Induction of indoleamine 2,3-dioxygenase: a mechanism of the antitumor activity of interferon gamma
.
Proc Natl Acad Sci USA
 
1988
;
85
:
1242
1246
.

Thomas
 
SM
,
Garrity
 
LF
,
Brandt
 
CR
et al.  
IFN-gamma-mediated antimicrobial response. Indoleamine 2,3-dioxygenase-deficient mutant host cells no longer inhibit intracellular Chlamydia spp. or Toxoplasma growth
.
J Immunol
 
1993
;
150
:
5529
5534
.

Grohmann
 
U
,
Fallarino
 
F
,
Puccetti
 
P
.
Tolerance, DCs and tryptophan: much ado about IDO
.
Trends Immunol
 
2003
;
24
:
242
248
.

Trabanelli
 
S
,
Ocadlikova
 
D
,
Evangelisti
 
C
,
Parisi
 
S
,
Curti
 
A
.
Induction of regulatory T cells by dendritic cells through indoleamine 2,3-dioxygenase: a potent mechanism of acquired peripheral tolerance
.
Curr Med Chem
 
2011
;
18
:
2234
2239
.

Le Floc'h
 
N
,
Otten
 
W
,
Merlot
 
E
.
Tryptophan metabolism, from nutrition to potential therapeutic applications
.
Amino Acids
 
2010
;
41
:
1195
1205
.

Munn
 
DH
,
Shafizadeh
 
E
,
Attwood
 
JT
,
Bondarev
 
I
,
Pashine
 
A
,
Mellor
 
AL
.
Inhibition of T cell proliferation by macrophage tryptophan catabolism
.
J Exp Med
 
1999
;
189
:
1363
1372
.

Kikuiri
 
T
,
Kim
 
I
,
Yamaza
 
T
et al.  
Cell-based immunotherapy with mesenchymal stem cells cures bisphosphonate-related osteonecrosis of the jaw-like disease in mice
.
J Bone Miner Res
 
2010
;
25
:
1668
1679
.

Nakashima
 
T
,
Takayanagi
 
H
.
Osteoimmunology: crosstalk between the immune and bone systems
.
J Clin Immunol
 
2009
;
29
:
555
567
.

Yuan
 
FL
,
Li
 
X
,
Lu
 
WG
et al.  
Regulatory T cells as a potent target for controlling bone loss
.
Biochem Biophys Res Commun
 
2010
;
402
:
173
176
.

Arshadi
 
D
,
Nikbin
 
B
,
Shakiba
 
Y
,
Kiani
 
A
,
Jamshidi
 
AR
,
Boroushaki
 
MT
.
Plasma level of neopterin as a marker of disease activity in treated rheumatoid arthritis patients: association with gender, disease activity and anti-CCP antibody
.
Int Immunopharmacol
 
2013
;
17
:
763
767
.

Schroecksnadel
 
K
,
Kaser
 
S
,
Ledochowski
 
M
et al.  
Increased degradation of tryptophan in blood of patients with rheumatoid arthritis
.
J Rheumatol
 
2003
;
30
:
1935
1939
.

Pertovaara
 
M
,
Hasan
 
T
,
Raitala
 
A
et al.  
Indoleamine 2,3-dioxygenase activity is increased in patients with systemic lupus erythematosus and predicts disease activation in the sunny season
.
Clin Exp Immunol
 
2007
;
150
:
274
278
.

Pertovaara
 
M
,
Raitala
 
A
,
Uusitalo
 
H
et al.  
Mechanisms dependent on tryptophan catabolism regulate immune responses in primary Sjögren's syndrome
.
Clin Exp Immunol
 
2005
;
142
:
155
161
.

Pedersen
 
ER
,
Midttun
 
O
,
Ueland
 
PM
et al.  
Systemic markers of interferon-gamma-mediated immune activation and long-term prognosis in patients with stable coronary artery disease
.
Arterioscler Thromb Vasc Biol
 
2011
;
31
:
698
704
.

Widner
 
B
,
Laich
 
A
,
Sperner-Unterweger
 
B
,
Ledochowski
 
M
,
Fuchs
 
D
.
Neopterin production, tryptophan degradation, and mental depression – what is the link?
 
Brain Behav Immun
 
2002
;
16
:
590
595
.

Widner
 
B
,
Leblhuber
 
F
,
Fuchs
 
D
.
Increased neopterin production and tryptophan degradation in advanced Parkinson's disease
.
J Neural Transm
 
2002
;
109
:
181
189
.

Forrest
 
CM
,
Mackay
 
GM
,
Oxford
 
L
,
Stoy
 
N
,
Stone
 
TW
,
Darlington
 
LG
.
Kynurenine pathway metabolism in patients with osteoporosis after 2 years of drug treatment
.
Clin Exp Pharmacol Physiol
 
2006
;
33
:
1078
1087
.

Gjesdal
 
CG
,
Vollset
 
SE
,
Ueland
 
PM
,
Refsum
 
H
,
Meyer
 
HE
,
Tell
 
GS
.
Plasma homocysteine, folate, and vitamin B 12 and the risk of hip fracture: the Hordaland Homocysteine Study
.
J Bone Miner Res
 
2007
;
22
:
747
756
.

Konstantinova
 
SV
,
Tell
 
GS
,
Vollset
 
SE
,
Ulvik
 
A
,
Drevon
 
CA
,
Ueland
 
PM
.
Dietary patterns, food groups, and nutrients as predictors of plasma choline and betaine in middle-aged and elderly men and women
.
Am J Clin Nutr
 
2008
;
88
:
1663
1669
.

Midttun
 
O
,
Hustad
 
S
,
Ueland
 
PM
.
Quantitative profiling of biomarkers related to B-vitamin status, tryptophan metabolism and inflammation in human plasma by liquid chromatography/tandem mass spectrometry
.
Rapid Commun Mass Spectrom
 
2009
;
23
:
1371
1379
.

Hustad
 
S
,
Eussen
 
S
,
Midttun
 
O
et al.  
Kinetic modeling of storage effects on biomarkers related to B vitamin status and one-carbon metabolism
.
Clin Chem
 
2012
;
58
:
402
410
.

Gjesdal
 
CG
,
Aanderud
 
SJ
,
Haga
 
HJ
,
Brun
 
JG
,
Tell
 
GS
.
Femoral and whole-body bone mineral density in middle-aged and older Norwegian men and women: suitability of the reference values
.
Osteoporos Int
 
2004
;
15
:
525
534
.

Levey
 
AS
,
Bosch
 
JP
,
Lewis
 
JB
,
Greene
 
T
,
Rogers
 
N
,
Roth
 
D
.
A more accurate method to estimate glomerular filtration rate from serum creatinine: a new prediction equation. Modification of Diet in Renal Disease Study Group
.
Ann Intern Med
 
1999
;
130
:
461
470
.

Russell
 
RG
,
Espina
 
B
,
Hulley
 
P
.
Bone biology and the pathogenesis of osteoporosis
.
Curr Opin Rheumatol
 
2006
;
18
(Suppl 1):
S3
10
.

Oxenkrug
 
GF
.
Metabolic syndrome, age-associated neuroendocrine disorders, and dysregulation of tryptophan–kynurenine metabolism
.
Ann NY Acad Sci
 
2010
;
1199
:
1
14
.

Pertovaara
 
M
,
Raitala
 
A
,
Juonala
 
M
et al.  
Indoleamine 2,3-dioxygenase enzyme activity correlates with risk factors for atherosclerosis: the Cardiovascular Risk in Young Finns Study
.
Clin Exp Immunol
 
2007
;
148
:
106
111
.

Theofylaktopoulou
 
D
,
Midttun
 
O
,
Ulvik
 
A
et al.  
A community-based study on determinants of circulating markers of cellular immune activation and kynurenines: the Hordaland Health Study
.
Clin Exp Immunol
 
2013
;
173
:
121
130
.

Pertovaara
 
M
,
Heliovaara
 
M
,
Raitala
 
A
,
Oja
 
SS
,
Knekt
 
P
,
Hurme
 
M
.
The activity of the immunoregulatory enzyme indoleamine 2,3-dioxygenase is decreased in smokers
.
Clin Exp Immunol
 
2006
;
145
:
469
473
.

Tankiewicz
 
A
,
Pawlak
 
D
,
Topczewska-Bruns
 
J
,
Buczko
 
W
.
Kidney and liver kynurenine pathway enzymes in chronic renal failure
.
Adv Exp Med Biol
 
2003
;
527
:
409
414
.

Kanis
 
JA
,
McCloskey
 
EV
.
Risk factors in osteoporosis
.
Maturitas
 
1998
;
30
:
229
233
.

Frick
 
B
,
Schroecksnadel
 
K
,
Neurauter
 
G
,
Leblhuber
 
F
,
Fuchs
 
D
.
Increasing production of homocysteine and neopterin and degradation of tryptophan with older age
.
Clin Biochem
 
2004
;
37
:
684
687
.

Takayanagi
 
H
.
Osteoimmunology: shared mechanisms and crosstalk between the immune and bone systems
.
Nat Rev Immunol
 
2007
;
7
:
292
304
.

Takayanagi
 
H
,
Sato
 
K
,
Takaoka
 
A
,
Taniguchi
 
T
.
Interplay between interferon and other cytokine systems in bone metabolism
.
Immunol Rev
 
2005
;
208
:
181
193
.

Duque
 
G
,
Huang
 
DC
,
Dion
 
N
et al.  
Interferon-gamma plays a role in bone formation in vivo and rescues osteoporosis in ovariectomized mice
.
J Bone Miner Res
 
2011
;
26
:
1472
1483
.

Zupan
 
J
,
Komadina
 
R
,
Marc
 
J
.
The relationship between osteoclastogenic and anti-osteoclastogenic pro-inflammatroy cyokines differs in human osteoporotic and osteoarthritic bone tissues
.
J Biomed Sci
 
2012
;
19
:
28
.

Sucher
 
R
,
Schroecksnadel
 
K
,
Weiss
 
G
et al.  
Neopterin, a prognostic marker in human malignancies
.
Cancer Lett
 
2010
;
287
:
13
22
.

Fuchs
 
D
,
Weiss
 
G
,
Reibnegger
 
G
,
Wachter
 
H
.
The role of neopterin as a monitor of cellular immune activation in transplantation, inflammatory, infectious, and malignant diseases
.
Crit Rev Clin Lab Sci
 
1992
;
29
:
307
341
.

Hoffmann
 
G
,
Wirleitner
 
B
,
Fuchs
 
D
.
Potential role of immune system activation-associated production of neopterin derivatives in humans
.
Inflamm Res
 
2003
;
52
:
313
321
.

Abu-Amer
 
Y
.
Inflammation, cancer and bone loss
.
Curr Opin Pharmacol
 
2009
;
9
:
427
433
.

Krause
 
D
,
Suh
 
HS
,
Tarassishin
 
L
et al.  
The tryptophan metabolite 3-hydroxyanthranilic acid plays anti-inflammatory and neuroprotective roles during inflammation: role of hemeoxygenase-1
.
Am J Pathol
 
2011
;
179
:
1360
1372
.

Malina
 
HZ
.
System in biology leading to cell pathology: stable protein-protein interactions after covalent modifications by small molecules or in transgenic cells
.
J Biomed Sci
 
2011
;
18
:
7
.

Malina
 
HZ
,
Richter
 
C
,
Mehl
 
M
,
Hess
 
OM
.
Pathological apoptosis by xanthurenic acid, a tryptophan metabolite: activation of cell caspases but not cytoskeleton breakdown
.
BMC Physiol
 
2001
;
1
:
7
.

Khosla
 
S
,
Melton
 
LJ
 3rd
,
Riggs
 
BL
.
The unitary model for estrogen deficiency and the pathogenesis of osteoporosis: is a revision needed?
 
J Bone Miner Res
 
2011
;
26
:
441
451
.

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