Literature DB >> 26332888

Altered Calcium and Vitamin D Homeostasis in First-Time Calcium Kidney Stone-Formers.

Hemamalini Ketha1, Ravinder J Singh2, Stefan K Grebe3, Eric J Bergstralh4, Andrew D Rule5, John C Lieske1, Rajiv Kumar6.   

Abstract

BACKGROUND: Elevated serum 1,25-dihydroxyvitamin D (1,25(OH)2D) concentrations have been reported among cohorts of recurrent calcium (Ca) kidney stone-formers and implicated in the pathogenesis of hypercalciuria. Variations in Ca and vitamin D metabolism, and excretion of urinary solutes among first-time male and female Ca stone-formers in the community, however, have not been defined.
METHODS: In a 4-year community-based study we measured serum Ca, phosphorus (P), 25-hydroxyvitamin D (25(OH)D), 1,25(OH)2D, 24,25-dihydroxyvitamin D (24,25(OH)2D), parathyroid hormone (PTH), and fibroblast growth factor-23 (FGF-23) concentrations in first-time Ca stone-formers and age- and gender frequency-matched controls.
RESULTS: Serum Ca and 1,25(OH)2D were increased in Ca stone-formers compared to controls (P = 0.01 and P = 0.001). Stone-formers had a lower serum 24,25(OH)2D/25(OH)D ratio compared to controls (P = 0.008). Serum PTH and FGF-23 concentrations were similar in the groups. Urine Ca excretion was similar in the two groups (P = 0.82). In controls, positive associations between serum 25(OH)D and 24,25(OH)2D, FGF-23 and fractional phosphate excretion, and negative associations between serum Ca and PTH, and FGF-23 and 1,25(OH)2D were observed. In SF associations between FGF-23 and fractional phosphate excretion, and FGF-23 and 1,25(OH)2D, were not observed. 1,25(OH)2D concentrations associated more weakly with FGF-23 in SF compared with C (P <0.05).
CONCLUSIONS: Quantitative differences in serum Ca and 1,25(OH)2D and reductions in 24-hydroxylation of vitamin D metabolites are present in first-time SF and might contribute to first-time stone risk.

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Year:  2015        PMID: 26332888      PMCID: PMC4558059          DOI: 10.1371/journal.pone.0137350

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Urinary stone disease is an increasingly common and recurrent metabolic disorder with an estimated lifetime risk in the United States of 6–12%, and a recurrence rate of up to 50%. [1-4]. Both dietary patterns and genetic factors influence urinary Ca excretion and are important in the pathogenesis of kidney stones [5-10]. Earlier reports from tertiary referral clinics demonstrated elevated serum concentrations of the active metabolite of vitamin D, 1,25(OH)2D [11, 12], among patients with hypercalciuric nephrolithiasis with or without primary hyperparathyroidism [13-17]. Increased 1,25(OH)2D levels should stimulate the intestinal hyperabsorption of Ca and contribute to the hypercalciuria observed in such patients. The precise cause of elevated 1,25(OH)2D concentrations in hypercalciuric stone-formers is uncertain, although some have suggested that low normal serum phosphorus concentrations may drive increased 1,25(OH)2D synthesis [17]. A recent report of 356 male incident stone formers compared plasma concentrations of 25-hydroxyvitamin D, 24,25-dihydroxyvitamin D, parathyroid hormone, fibroblast growth factor 23, calcium, phosphate, and creatinine with those found in control subjects [18]. Small and statistically non-significant differences in 1,25(OH)2D and FGF23 levels were found in cases compared to controls. However, after adjusting for multiple covariates, the odds ratios of incident symptomatic kidney stones in the highest compared with lowest quartiles were 1.73 (P for trend 0.01) for 1,25(OH)2D and 1.45 (P for trend 0.03) for FGF23. Urinary solute concentrations were not examined. Mutations and polymorphisms of specific genes have been associated with an increased risk of kidney stones [19-Endocr Pract. 2014 ">26]. Recently, infants [19, 20, 27] and adults [19, 28] with elevated serum 1,25(OH)2D concentrations, hypercalcemia, hypercalciuria and nephrolithiasis have been found to have inactivating mutations of the 24-hydroxylase cytochrome P450 (CYP24A1) gene, the product of which degrades 25(OH)D and 1,25(OH)2D to less active metabolites, 24,25(OH)2D and 1,24,25-trihydroxyvitamin D, respectively, in target organs such as the intestine and kidney [12, 29]. In this study we asked whether there was evidence for an alteration in mineral metabolism and reduced 24-hydroxylase activity (measured as the ratio of 24,25(OH)2D/25(OH)D) among patients with their first kidney stone, the vast majority (>90%) of which are calcium oxalate and/or calcium phosphate. We now show that serum Ca and 1,25(OH)2D are higher in a community-based cohort of first-time Ca stone-formers compared to a group of age- and gender-matched normal subjects. Furthermore, subjects with Ca kidney stones have lower 24,25(OH)2D/25(OH)D ratios suggesting the presence of reduced 24-hydroxylase activity. We show positive associations between FGF-23 and fractional phosphate excretion in control subjects that are absent in stone-formers. 1,25(OH)2D concentrations associated more weakly with FGF-23 in stone-formers compared with controls.

Materials and Methods

Stone former cohort and matched controls

The Mayo Clinic Institutional Review Board approved this study (IRB 12–004641). Subjects provided written consent to participate in the study. Documentation of consent was included in the subject’s medical record. The consent form, and procedure for consent were approved by the Mayo Clinic Institutional Review Board. Patients from the 9 county region of Southeast Minnesota, who were seen since 1/1/2009 by a medical provider for their first kidney stone, were invited to participate in the study. A review of medical records confirmed that patients had experienced their first symptomatic kidney stone episode. Controls with no history or kidney stones (frequency matched to the age and gender of enrolled stone-formers) were concurrently recruited from the same local general population using flyers and mail-outs.

Laboratory studies

Serum creatinine, Ca and P were measured using a Roche Cobas C311 autoanalyzer. Intact PTH was measured using a two-site chemiluminescent assay (Roche), and serum 25(OH)D, 1,25(OH)2D and 24,25(OH)2D were measured by mass spectrometry [30-32]. Intact full-length FGF-23 was measured using an enzyme linked immunoassay (Kainos). Stone analysis was performed using infra-red spectroscopy in the Mayo Medical Laboratories. Urinary excretion of solutes was analyzed with methods routinely in use at the Mayo Medical Laboratories. Dietary intake was assessed using a Food Frequency Questionnaire [33].

Statistical analysis

Univariable comparison of controls to stone-formers was done using the two-sample t-test. Within stone-formers and controls, multivariable linear regression analysis was used to assess associations between pairs of laboratory values (Y,X) while adjusting for age, sex and other factors. Similar models were fit pooling all subjects and included a term for stone-former status and its interaction with X. Statistical analyses were performed on JMP version 10.0.0 (SAS Inc., North Carolina, USA) statistical software.

Results

Information from 153 first time stone formers was available for analysis. Analysis of stone material by infrared spectroscopy was available in 94 stone-formers revealing Ca oxalate in 73 (78%), hydroxyapatite in 17 (18%), uric acid in 3 and cystine in one (Ca stones confirmed by IR analysis = 90). Dual energy CT scans on 3 additional patients without stone analysis confirmed the presence of non-uric acid stones. Patients with the uric acid stones (n = 3) and cystine stone (n = 1) were not considered in the analysis. Thus, there were 93 (90 by direct IR analysis and 3 by dual energy CT) confirmed Ca stone formers (CSF, 45 males and 48 females (n = 93); age: 48±15 years) and 201 age- and gender frequency-matched controls (95 males, 106 females; age: 45±15 years). For purposes of additional analysis, the remaining 56 stone-formers were assumed to have Ca stones. Thus, there were 149 (93 confirmed + 56 presumed = 149) first-time Ca stone-formers (77 males and 72 females; age: 46±15 years) in the total Ca stone former group (TSF). The results are presented separately for each of the two groups group of first-time kidney stone formers. As shown in Table 1 compared to controls Ca stone-formers in both the confirmed (CSF) and TSF groups had higher serum Ca (P = 0.03 (CSF); P = 0.01 (TSF)), similar serum P (P = 0.87 (CSF); P = 0.72 (TSF)), higher 1,25(OH)2D (P = 0.0004 (CSF); P = 0.001 (TSF)), lower 24,25(OH)2D/25(OH)D ratios (P = 0.014 (CSF); P = 0.008 (TSF)), similar serum PTH (P = 0.18 (CSF); P = 0.09 (TSF)) and similar FGF-23 (P = 0.6 (CSF); P = 0.28 (TSF)). Serum 25(OH)D and 24,25(OH)2D concentrations were similar in stone-formers vs. controls (P = 0.1 and 0.84 (CSF); P = 0.14 and 0.59 (TSF), respectively).
Table 1

Serum analytes and hormones (PTH, 25(OH)D, 1,25(OH)2D, 24,25(OH)2D and FGF-23) and urine analytes in calcium stone-formers and controls.

All values are represented as mean ± standard error. CSF = confirmed; TSF = total (confirmed plus presumed calcium SF).

Biochemical ParameterControls (N = 201)Confirmed calcium stone-formers, CSF (N = 93)PTotal stone-formers, TSF (N = 149)P
Serum chemistries
Calcium, mg/dL 9.2 ± 0.19.4 ± 0.1 0.03 9.4 ± 0.04 0.010
Phosphorus, mg/dL 3.4 ± 0.013.3 ± 0.060.8653.4 ± 0.010.722
PTH, pg/mL 38.8 ± 1.241.9 ± 1.80.1542.1 ± 1.50.096
25(OH)D, ng/mL 32.1 ± 0.734.4 ± 1.20.10533.8 ± 0.90.136
1,25(OH) 2 D, pg/mL 38.1 ± 0.943.8 ± 1.3 0.004 43.7 ± 1.1 0.001
24,25(OH) 2 D, ng/mL 3.2 ± 0.13.1 ± 0.20.8443.1 ± 0.10.591
24,25(OH) 2 D/25(OH)D 0.097 ± 0.030.088 ± 0.003 0.0143 0.087 ± 0.03 0.008
FGF23 pg/mL 59.2 ± 1.660.4 ± 2.20.65662.2 ± 2.40.278
Uric Acid, mg/dL 4.9 ± 0.15.2 ± 0.11 0.023 5.4 ± 0.1 0.003
Creatinine, mg/dL 0.82 ± 0.010.81 ± 0.010.5910.84 ± 0.20.437
24 hour urine chemistries
pH 6.2 ± 0.046.1 ± 0.05 0.031 6.1 ± 0.04 0.012
Volume (mL) 1794.2 ± 57.11659.1 ± 82.50.091597.3 ± 61.5 0.015
Osmolality 648.9 ± 17.6672.3 ± 28.10.48693.6 ± 21.70.110
Sodium, mmol 131.3 ± 67.3121.8 ± 6.890.259124.4 ± 67.30.344
Potassium, mg 53.2 ± 2.445.91 ± 2.7 0.044 45.2 ± 2.0 0.014
Calcium, mg 222.3 ± 10.3225.8 ± 14.40.85225.8 ± 11.60.820
Magnesium, mg 127.0 ± 4.5112.33 ± 7.18 0.042 113.4 ± 5.3 0.040
Chloride, mmol 121.0 ± 65.82112.0 ± 6.60.267113.9 ± 64.9 0.032
Phosphate, mg 647.7 ± 21.8645.68 ± 37.970.96651.8 ± 29.20.910
Sulfate, mmol 21.5 ± 14.817.71 ± 2.50.16918.5 ± 16.90.133
Citrate, mg 596.3 ± 24.7517.5 ± 31.22 0.049 504.0 ± 23.6 0.010
Oxalate, mmol 0.27 ± 0.10.27 ± 0.010.9980.27 ± 0.190.950
Uric Acid, mg 424.7 ± 12.9358.74 ± 17.3 0.0026 383.2 ± 14.8 0.036
Creatinine Clearance 92.1 ± 2.591.92 ± 4.90.97890.2 ± 45.10.668
% FECa 1.89 ± 0.071.97 ± 0.10.5422.04 ± 0.100.218
% FEPi 14.89 ± 0.3615.29 ± 0.60.56215.84 ± 0.570.143

Serum analytes and hormones (PTH, 25(OH)D, 1,25(OH)2D, 24,25(OH)2D and FGF-23) and urine analytes in calcium stone-formers and controls.

All values are represented as mean ± standard error. CSF = confirmed; TSF = total (confirmed plus presumed calcium SF). Urinary pH, volume, and potassium, magnesium, chloride and citrate excretion were lower in stone formers compared to controls (see Table 1 for P values). Twenty four hour urinary calcium excretion was similar. FECa and FEPi were similar in the two groups. The results of age- and gender-adjusted multivariable analyses are shown in Table 2. In both controls and stone-formers, serum Ca concentrations were inversely related (negative slope, β) to serum PTH concentrations. The relationship was not significantly different between groups (P = 0.655 for interaction). In controls, serum P concentrations were inversely related to PTH concentrations even after adjusting for 1,25(OH)2D concentrations. This relationship was not observed in stone-formers. However, the difference between the two groups was not statistically significant. In controls, 1,25(OH)2D concentrations and FGF-23 concentrations were inversely related even after correcting for serum PTH, serum Ca and serum P, while in stone-formers this relationship was not observed. The difference in the associations between the two groups was statistically significant (Table 2, P = 0.05 for interaction). In controls, FE P and FGF-23 concentrations were directly related even after correcting for serum PTH and serum 1,25(OH)2D, while in stone-formers this relationship was not observed. The difference between the associations in the two groups was not statistically significant (Table 2, P = 0.136 for interaction). We examined the relationship of other P regulating hormones to FE P in controls and stone-formers. In controls, FE P and 1,25(OH)2D concentrations were not related, even after correcting for serum FGF-23, PTH and Ca, while in stone-formers there was a negative relationship between 1,25(OH)2D and FE P. The difference in the associations between the two groups was statistically significant (Table 2, P = 0.017 for interaction).
Table 2

Multivariable regression analysis of dependent variable (Y) on independent variable (X).

Columns include adjusting variables (in addition to age and sex), parameter or slope estimate (ß), standard error (SE), and P value (test of slope = 0) for analyses done within stone former and control groups, Also given is the P value for the interaction term (test for common slopes) between X and stone group from similar models pooling stone-formers and controls. CSF = confirmed Ca stone formers; TSF = total stone formers (confirmed plus presumed).

Dependent (Y) VariableIndependent (X) variableAdjusted VariableC, N = 201,ß (SE), PCSF, N = 93,ß (SE), PP, Interaction TermTSF, N = 149, ß (SE), PP, Interaction
S CaPTH-0.006 (0.002), 0.036 -0.006 (0.003), 0.017 0.66-0.006 (0.003), 0.017 0.66
S CaPTH1,25(OH)2D-0.0005 (0.002), 0.04 -0.006 (0.003), 0.018 0.94-0.006 (0.003), 0.018 0.87
S Ca1,25(OH)2DPTH-0.00085 (0.03), 0.81-0.001 (0.003), 0.760.91-0.001 (0.003), 0.760.986
S PPTH-0.092 (0.03), 0.09-0.089 (0.07), 0.170.77-0.002 (0.002), 0.3150.226
S PPTH1,25(OH)2D-0.113 (0.05), 0.03 -0.09 (0.06), 0.140.78-0.002 (0.002), 0.3160.240
S P1,25(OH)2DPTH0.113 (0.05), 0.03 0.086 (0.07), 0.200.190.0001 (0.003), 0.9680.18
1,25(OH)2DPTH0.101 (0.05), 0.060.85 (0.07), 0.210.740.053 (0.052), 0.310.96
1,25(OH)2DPTHFGF-23-0.163 (0.04), <0.001 -0.035 (0.061), 0.56 0.050 0.06 (0.05), 0.320.73
1,25(OH)2DPTHFGF-23, S Ca-0.168 (0.04), <0.001 -0.05 (0.06), 0.460.0840.05 (0.05), 0.330.73
1,25(OH)2DPTHFGF-23, S Ca, S P-0.169 (0.04), <0.001 -0.04 (0.06), 0.470.080.05 (0.05), 0.340.765
1,25(OH)2DFGF-23-0.160 (0.04), <0.001 -0.04 (0.06), 0.480.08-0.057 (0.034), 0.16 0.050
1,25(OH)2DFGF-23PTH-0.168 (0.04), <0.001 -0.05 (0.06), 0.380.51-0.05 (0.037), 0.11 0.045
1,25(OH)2DFGF-23PTH, S Ca-0.169 (0.04), <0.001 -0.05 (0.06), 0.420.655-0.05 (0.037), 0.11 0.046
1,25(OH)2DFGF-23PTH, S Ca, S P-0.162 (0.04), <0.001 -0.05 (0.06), 0.4130.063-0.05 (0.037), 0.12 0.048
24,25(OH)2D25(OH)D-0.00085 (0.03), 0.81-0.001 (0.003), 0.760.560.112 (0.006), <0.001 0.290
FePi%PTH0.035 (0.019), 0.07 0.022 (0.024), 0.280.540.022 (0.024), 0.280.54
FePi%PTH1,25(OH)2D0.035 (0.019), 0.052 0.027 (0.028), 0.3360.500.027 (0.024), 0.260.50
FePi%PTH1,25(OH)2D, FGF230.031 (0.019), 0.090.028 (0.029), 0.350.510.028 (0.024), 0.250.51
FePi%1,25(OH)2D-0.026 (0.021), 0.2941-0.09 (0.04), 0.060.21-0.14 (0.04), 0.0009 0.017
FePi%1,25(OH)2DPTH-0.03 (0.024), 0.2028-0.009 (0.04), 0.048 0.19-0.108 (0.04), 0.0007 0.0204
FePi%1,25(OH)2DFGF23, PTH-0.026 (0.025), 0.55-0.09 (0.05), 0.052 0.129-0.108 (0.04), 0.0045 0.018
FePi%1,25(OH)2DFGF23, PTH, SCa-0.015 (0.026), 0.49-0.08(0.04), 0.0600.13-0.108(0.04), 0.0046 0.018
FePi %FGF230.03 (0.01), 0.0092 0.009 (0.027), 0.7240.13620.004 (0.0011), 0.81120.1362
FePi %FGF23PTH0.035 (0.01), 0.014 0.007 (0.02), 0.780.1360.0035 (0.01), 0.840.136
FePi %FGF23PTH, 1,25(OH)2D0.033 (0.01), 0.029 -0.003 (0.03), 0.9010.237-0.002 (0.01), 0.9060.237
FECa%PTH-0.008 (0.004), 0.065-0.008 (0.005), 0.130.76-0.011 (0.005), 0.052 0.603
FECa%PTH1,25(OH)2D-0.008 (0.004), 0.058-0.010 (0.004), 0.0580.591-0.010 (0.004), 0.0580.591
FECa%1,25(OH)2DPTH0.003 (0.005), 0.536-0.01 (0.007), 0.1680.188-0.01 (0.007), 0.1680.188

Multivariable regression analysis of dependent variable (Y) on independent variable (X).

Columns include adjusting variables (in addition to age and sex), parameter or slope estimate (ß), standard error (SE), and P value (test of slope = 0) for analyses done within stone former and control groups, Also given is the P value for the interaction term (test for common slopes) between X and stone group from similar models pooling stone-formers and controls. CSF = confirmed Ca stone formers; TSF = total stone formers (confirmed plus presumed). We compared serum variables in normocalciuric (defined as U Ca <200 mg per 24 hours in females and <250 mg per 24 h in males) or hypercalciuric (defined as U Ca >200 mg per 24 hours in females and >250 mg per 24 h in males) male and female subjects in the TSF group. We found no differences in any of the analytes (Table 3).
Table 3

Urine Ca and serum analytes in male and female normocalciuric SF (NC; males, U Ca <250 mg/ 24 h; females U Ca <200 mg/24 h) or hypercalciuric SF (HC; male U Ca >250 mg/24 h; female U Ca > 200 mg/24 h); mean +/- SEM.

Analyte, urine (U) or Serum (S)NC male SF (N = 45)HC male SF (N = 32)P value; male NC vs. HC SFNC female SF (N = 42)HC female SF (N = 30)P value; female NC vs. HC SF
U Ca, mg/24 h 152.2 ± 9.0410.6 ± 26.5<0.0001123.2 ± 6.4282.9 ± 14.4<0.0001
S Ca, mg/dL 9.3 ± 0.19.4 ± 0.10.7729.3 ± 0.19.5 ± 0.10.388
S P, mg/dL 3.3 ± 0.073.1 ± 0.100.1173.6 ± 0.093.5 ± 0.100.607
S 1,25(OH) 2 D, pg/mL 41.4 ± 1.741.1 ± 2.10.91446.4 ± 1.7946.3 ± 3.250.451
S 24,25(OH) 2 D 3.0 ± 0.22.8 ± 0.20.8693.4 ± 0.23.3 ± 0.40.275
S FGF-23, pg/mL 60.4 ± 2.765.1 ± 9.00.40361.3 ± 3.263.2 ± 3.60.855
Food intake based on Food Frequency Questionnaires in the CSF, TSF and control groups is presented in Table 4. Of note, data was not available in all patients. There were no differences between the intake of calories, protein, animal protein, sodium, calcium, phosphorus, magnesium, potassium, and vitamin D between the various groups.
Table 4

Dietary intake variables in calcium stone-formers and controls.

All values are represented as mean ± standard error. CSF = confirmed; TSF = total (confirmed plus presumed calcium SF).

VariableControls (N = 195)* Confirmed calcium stone-formers, CSF (N = 89)* PTotal stone-formers, TSF (N = 144)* P
Calories, kcal 2341.9 ± 77.72300.79 ± 118.40.7712311.3 ± 97.90.807
Fat, g 87.72 ± 3.688.57 ± 5.90.90288.31 ± 4.50.919
Carbohydrates, g 283.22 ± 9.2276.79 ± 13.60.696279.71 ± 11.30.810
Total Protein, g 97.65 ± 3.497.37 ± 5.20.96497.03 ± 4.50.914
Animal Protein, g 65.8 ± 2.668.25 ± 4.10.61567.14 ± 3.40.752
Plant Protein, g 31.68 ± 1.228.92 ± 1.60.18229.69 ± 1.50.306
Alcohol, g 10.9 ± 1.147.51 ± 1.60.0827.79 ± 1.20.065
Sodium, mg 3763.6 ± 132.13665.25 ± 218.90.7013710.03 ± 182.10.812
Calcium, mg 1403.50 ± 51.81306.5 ± 81.40.3161309.75 ± 69.150.280
Phosphorus, mg 1770.3 ± 58.941699.8 ± 89.130.5101697 ± 77.30.452
Magnesium, mg 385.9±11.97370.0±19.230.491364.9±16.340.299
Potassium, mg 3597.12±108.93421.2±168.10.3813363.9±145.20.200
Vitamin D, IU 308 ± 14293 ± 220.584285 ± 180.351

* FFQ were not available on all subjects.

Dietary intake variables in calcium stone-formers and controls.

All values are represented as mean ± standard error. CSF = confirmed; TSF = total (confirmed plus presumed calcium SF). * FFQ were not available on all subjects. In the control population, 20% of subjects reported a family history of kidney stones, 74% of subjects reported no family history of stone disease, and 6% were unaware of a history of kidney stones. In contrast, 42% of TSF had a family history of kidney stone disease, 55% did not, and 3.2% of patients were unaware of a history of kidney stones. Thiazide use was similar in the CSF (7.5%), TSF(8.7%) and control (11%) groups.

Discussion

Previous studies have reported elevated or high normal serum concentrations of 1,25(OH)2D, the active metabolite of vitamin D, among patients referred to specialty clinics with urinary stone disease and hyperparathyroidism, absorptive hypercalciuria or renal hypercalciuria [13-17]. However, systemic differences in Ca and vitamin D metabolism have not been previously investigated in a community-based population of first-time male and female stone-formers. Likewise, urinary excretion of solutes has not been assessed in the same cohort of patients. The current study reveals higher serum Ca and 1,25(OH)2D concentrations even among these first-time Ca stone-formers relative to matched controls. Similar conclusions can be drawn using data in the current study obtained from patients with confirmed Ca containing stones or from the expanded cohort of first time stone formers in whom Ca stones are also likely to be present. The data indicate that the increase in serum 1,25(OH)2D among first-time stone-formers could be related to reduced activity of the 24-hydroxylase enzyme (measured as the ratio of serum 24,25(OH)2D to 25(OH)D) that normally metabolizes both 1,25(OH)2D to a less active metabolite, 1,24,25-trihydroxyvitamin D. In our study, first time stone-formers had higher serum Ca and 1,25(OH)2D levels than the non-stone forming controls, suggesting that first-time Ca stone formation is a manifestation of altered Ca and vitamin D regulation. Increased serum 1, 25(OH)2D concentrations would predispose stone-formers to intermittent hypercalciuria following ingestion of increased amounts of dietary Ca. The higher 1,25(OH)2D levels in the Ca stone-formers might also predispose them to increased urinary supersaturation under other environmental influences, e.g. dehydration, vitamin supplementation, or sunlight exposure. Our data suggest that further investigations of known regulators of Ca and vitamin D metabolism will help in the medical management of the first time stone formers and prevent stone recurrence through dietary modifications and pharmaceutical interventions. We and others have shown that patients with familial adult and infantile hypercalcemia, have hypercalciuria and nephrolithiasis that are associated with mutations of the CYP24A1 gene [19, 20, 24, 26–28]. Genome-wide association studies have shown that the CYP24A1 gene is associated with serum calcium [25] and genomic variants of the CYP24A1 gene have been identified in a small number of calcium stone formers to date [34]. In a cohort of patients with kidney stones, high normal serum Ca and low normal PTH concentrations, nine known sequence variants of the CYP24A1 gene were detected [34]. In a second cohort with kidney stones and a tendency towards hypercalciuria, seven known sequence variants, and a single novel heterozygous non-synonymous sequence change together with a homozygous synonymous change have been detected [34]. It is not known if these sequence variants are associated with reduced 24-hydroxylase activity since vitamin D metabolite concentrations were not measured. Serum PTH concentrations were similar in the two groups, and thus do not appear responsible for increased 25-hydroxyvitamin D-1α-hydroxylase (Cyp27B1) [35, 36] activity and increased 1,25(OH)2D synthesis. Reduced inhibition of 1,25(OH)2D synthesis by FGF-23 [37] could potentially be responsible for the elevation in serum 1,25(OH)2D concentrations, despite identical FGF-23 concentrations in stone-formers, since the expected significant inverse correlation between FGF-23 and 1,25(OH)2D3 observed in control subjects (P<0.001) was not observed in Ca kidney stone-formers (P = 0.16). Of note, in the current study there is a trend towards higher PTH concentrations in the stone-formers (P = 0.096) and PTH levels in the stone-formers are higher despite higher serum 1,25(OH)2D and Ca concentrations. The lack of inhibition of serum PTH concentrations by increased serum 1,25(OH)2D and Ca concentrations in stone formers suggests the presence subtle alterations of the parathyroid gland to inhibitory signals in stone formers. Recent genome wide association studies have implicated up to six loci in the regulation of serum Ca [25]. In addition to CYP24A1, discussed above, implicated genes include the Ca sensing receptor, diacylglycerol kinase, and GATA transcription factor genes, all of which may be involved in parathyroid gland signaling mechanisms. Whether sequence variants or mutations in these or other genes are present our cohort of stone-formers has not been assessed. It is unclear if other genes identified in the recent meta-analysis such as CARS, the causative gene for the Beckwith-Weidemann syndrome, and GCKR might be associated with altered Ca and 1,25(OH)2D signaling in the parathyroids [25]. Despite higher serum calcium, the SF and control groups had similar urinary calcium excretions. Any explanation is speculative, but might relate to the fact these are first time and not recurrent SF. There were also no differences amongst groups in the intake of calcium and vitamin D. Further analysis of serum analyte concentrations based on the presence or absence of hypercalciuria in male and female stone formers revealed no differences in normocalciuric versus the hypercalciuric groups. A recent report of 356 male incident stone formers compared plasma concentrations of 25-hydroxyvitamin D, 24,25-dihydroxyvitamin D, parathyroid hormone, fibroblast growth factor 23, calcium, phosphate, and creatinine with those found in control subjects [18]. Of note, this study was limited to male subjects. Small and statistically non-significant differences in 1,25(OH)2D and FGF23 levels were found in cases and controls. However, after adjusting for multiple covariates, the odds ratios of incident symptomatic kidney stones in the highest compared with lowest quartiles were 1.73 (P for trend 0.01) for 1,25(OH)2D and 1.45 (P for trend 0.03) for FGF23. Unlike our study, Taylor et al. [18] did not observe or comment upon differences in the ratio of serum 24,25(OH)2D to 25(OH)D in stone formers compared to controls. Furthermore, we found differences in the relationship between FGF-23 and urinary phospate excretion and 1,25(OH)2D amongst stone-formers and controls suggesting alterations in the responsiveness of the nephron to FGF 23 in stone formers. Urinary solute concentrations were not examined in the Taylor study. The limitations of this study include that the cohort was limited to a Caucasian population in the upper midwestern United States, the effect of Ca or vitamin D loading was not determined in either group, and the relationships of the hormonal alterations to urinary calcium were not assessed. Not all patients had an analysis of stones. Furthermore, sequencing of genes involved in the production and degradation of 1,25(OH)2D was not performed.

Conclusions

Systematic study of a community- based cohort of first-time stone-formers revealed elevated serum Ca, 1,25(OH)2D, and PTH concentrations. There was evidence for diminished 24-hydroxylase (Cyp24A1) activity which could contribute to the increased 1,25(OH)2D concentrations observed in these stone-forming subjects. Furthermore, an impaired inhibitory response of the 25-hydroxyvitamin D 1-hydroxylase (Cyp27B1) to circulating FGF-23 in stone-formers could also contribute to the higher 1,25(OH)2D concentrations. Our study demonstrates that altered Ca and vitamin D metabolism were common in a relatively large cohort of first-time Ca stone-formers.
  35 in total

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3.  Evidence for disordered control of 1,25-dihydroxyvitamin D production in absorptive hypercalciuria.

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4.  Reproducibility and validity of an expanded self-administered semiquantitative food frequency questionnaire among male health professionals.

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Review 5.  Metabolism of 1,25-dihydroxyvitamin D3.

Authors:  R Kumar
Journal:  Physiol Rev       Date:  1984-04       Impact factor: 37.312

6.  Familial idiopathic hypercalciuria.

Authors:  F L Coe; J H Parks; E S Moore
Journal:  N Engl J Med       Date:  1979-02-15       Impact factor: 91.245

7.  A consideration of the hormonal basis and phosphate leak hypothesis of absorptive hypercalciuria.

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Journal:  J Clin Endocrinol Metab       Date:  1984-01       Impact factor: 5.958

8.  Ambulatory evaluation of nephrolithiasis. Classification, clinical presentation and diagnostic criteria.

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9.  The importance of circulating 1,25-dihydroxyvitamin D in the pathogenesis of hypercalciuria and renal-stone formation in primary hyperparathyroidism.

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Journal:  N Engl J Med       Date:  1980-02-21       Impact factor: 91.245

Review 10.  Vitamin D: recent advances.

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1.  Clinical and biochemical phenotypes of adults with monoallelic and biallelic CYP24A1 mutations: evidence of gene dose effect.

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Journal:  Osteoporos Int       Date:  2016-04-29       Impact factor: 4.507

Review 2.  Heritable traits that contribute to nephrolithiasis.

Authors:  John C Lieske; Xiangling Wang
Journal:  Urolithiasis       Date:  2018-11-20       Impact factor: 3.436

Review 3.  The genetics of kidney stone disease and nephrocalcinosis.

Authors:  Prince Singh; Peter C Harris; David J Sas; John C Lieske
Journal:  Nat Rev Nephrol       Date:  2021-12-14       Impact factor: 28.314

Review 4.  Skeletal and extraskeletal disorders of biomineralization.

Authors:  Michael T Collins; Gemma Marcucci; Hans-Joachim Anders; Giovanni Beltrami; Jane A Cauley; Peter R Ebeling; Rajiv Kumar; Agnès Linglart; Luca Sangiorgi; Dwight A Towler; Ria Weston; Michael P Whyte; Maria Luisa Brandi; Bart Clarke; Rajesh V Thakker
Journal:  Nat Rev Endocrinol       Date:  2022-05-16       Impact factor: 47.564

5.  Analysis of vitamin D deficiency in calcium stone-forming patients.

Authors:  María Sierra Girón-Prieto; María Del Carmen Cano-García; Miguel Ángel Arrabal-Polo; Antonio Poyatos-Andujar; Miguel Quesada-Charneco; Tomás de Haro-Muñoz; Salvador Arias-Santiago; Miguel Arrabal-Martín
Journal:  Int Urol Nephrol       Date:  2016-04-19       Impact factor: 2.370

Review 6.  Personalized Intervention in Monogenic Stone Formers.

Authors:  Lucas J Policastro; Subodh J Saggi; David S Goldfarb; Jeffrey P Weiss
Journal:  J Urol       Date:  2017-10-20       Impact factor: 7.450

7.  Meeting report of the "Symposium on kidney stones and mineral metabolism: calcium kidney stones in 2017".

Authors:  Agnieszka Pozdzik; Naim Maalouf; Emmanuel Letavernier; Isabelle Brocheriou; Jean-Jacques Body; Benjamin Vervaet; Carl Van Haute; Johanna Noels; Romy Gadisseur; Vincent Castiglione; Frédéric Cotton; Giovanni Gambaro; Michel Daudon; Khashayar Sakhaee
Journal:  J Nephrol       Date:  2019-01-24       Impact factor: 3.902

8.  Association between aortic calcification and the presence of kidney stones: calcium oxalate calculi in focus.

Authors:  Bo Li; Yin Tang; Liang Zhou; Xi Jin; Yu Liu; Hong Li; Yan Huang; Kunjie Wang
Journal:  Int Urol Nephrol       Date:  2021-11-30       Impact factor: 2.266

Review 9.  Animal models of naturally occurring stone disease.

Authors:  Ashley Alford; Eva Furrow; Michael Borofsky; Jody Lulich
Journal:  Nat Rev Urol       Date:  2020-11-06       Impact factor: 16.430

Review 10.  Recent advances on the mechanisms of kidney stone formation (Review).

Authors:  Zhu Wang; Ying Zhang; Jianwen Zhang; Qiong Deng; Hui Liang
Journal:  Int J Mol Med       Date:  2021-06-16       Impact factor: 4.101

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