Literature DB >> 36035656

Cortical porosity occurs at varying degrees throughout the skeleton in rats with chronic kidney disease.

Corinne E Metzger1, Christopher L Newman2, Samantha P Tippen1, Natalie T Golemme1, Neal X Chen3, Sharon M Moe3, Matthew R Allen1,3,4.   

Abstract

Cortical porosity develops in chronic kidney disease (CKD) and increases with progressing disease. Cortical porosity is likely a prominent contributor to skeletal fragility/fracture. The degree to which cortical porosity occurs throughout the skeleton is not fully known. In this study, we assessed cortical bone porosity via micro-computed tomography at multiple skeletal sites in rats with progressive chronic kidney disease. We hypothesized that cortical porosity would occur in long bones throughout the body, but to a lesser degree in flat bones and irregular bones. Porosity was measured, using micro-CT, at 17 different skeletal sites in 6 male rats with CKD. Varying degrees of porosity were seen throughout the skeleton with higher porosity in flat and irregular bone (i.e. parietal bone, mandible) vs. long bones (p = 0.01) and in non-weightbearing bones vs. weightbearing bones (p = 0.01). Porosity was also higher in proximal sites vs. distal sites in long bones (p < 0.01 in all comparisons). There was large heterogeneity in porosity within skeletal sites across rats and within the same rat across skeletal sites. Correlations showed cortical porosity of the proximal tibia was positively associated with porosity at the other sites with the strongest correlation to the parietal bone and the weakest to the ulna. Overall, our data demonstrates varying and significant cortical bone porosity across the skeleton of animals with chronic kidney disease. These data point to careful selection of skeletal sites to assess porosity in pre-clinical studies and the potential for fractures at multiple skeletal sites in patients with CKD.

Entities:  

Keywords:  CKD-MBD; Cortical porosity; Imaging; Micro-CT

Year:  2022        PMID: 36035656      PMCID: PMC9411579          DOI: 10.1016/j.bonr.2022.101612

Source DB:  PubMed          Journal:  Bone Rep        ISSN: 2352-1872


Introduction

Chronic kidney disease (CKD), a disease characterized by progressive declines in kidney function, has a global prevalence of approximately 9 % which amounts to ~700 million cases (Cockwell and Fisher, 2020). The prevalence is ~15 % in US adults (Centers for Disease Control and Prevention, 2021). Mineral metabolism dysregulation, high circulating parathyroid hormone, and accumulation of uremic toxins in CKD lead to dramatic loss of bone and increased fracture risk. A particular hallmark of bone loss in CKD is cortical bone deterioration. While cortical thinning contributes to loss of cortical bone, cortical porosity, excavated holes in cortical bone caused by rampant bone resorption, is prominent and has a major negative impact on the structural integrity of the skeleton. Both clinical and pre-clinical studies have shown that cortical porosity development occurs rapidly with advancing kidney disease (Nickolas et al., 2013; Mcnerny et al., 2019; Metzger et al., 2019). Over approximately 2 years, cortical porosity had the greatest percent change from baseline (4 %) compared to other cortical parameters in patients with CKD in both the distal radius and the distal tibia (Nickolas et al., 2013). This loss of cortical bone in CKD positively correlates with fracture rate. Patients with CKD have significantly higher rates of fracture at all ages compared to healthy individuals and the incidence of fracture increases with declining kidney function (Naylor et al., 2014). Hip fracture rates, the most clinically relevant site, are high in CKD compared to the general population (Alem et al., 2000; Nickolas et al., 2006). However, fractures occur at other skeletal sites in CKD patients as well (Naylor et al., 2014; Ambrus et al., 2011; Iimori et al., 2012) and a large portion of these fractures are in non-hip cortical bone sites (Moe et al., 2015a). Studies have demonstrated that small changes in porosity significantly impact the mechanical properties of bone (Currey, 1988; Schaffler and Burr, 1988). In cadaver cortical bone specimens, porosity accounted for 76 % of the reduction in strength of the samples when mechanically tested while mineral content had little effect (McCladen et al., 1993). While porosity likely plays a major role in fracture rates/risks in CKD, knowledge regarding porosity across the skeleton is limited. In clinical studies, cortical porosity is typically measured at the distal tibia or distal radius as both sites are accessible via high resolution quantitative peripheral computed tomography (HR-pQCT) or at the iliac crest from a bone biopsy. In rodent studies, cortical porosity is routinely measured via micro-computed tomography at the tibia (distal or proximal) or the distal/midshaft femur. Previous studies have demonstrated associations between parameters from HR-pQCT of distal long bone sites and transiliac crest biopsies in CKD patients, particularly in trabecular bone parameters; however, these studies do not specifically look at porosity (Marques et al., 2017; Cohen et al., 2010). Thus, it is unknown if porosity is similar across various types of bones and different parts of the skeleton. This has important implications for broad assessment of skeletal fragility/fracture risk in patients with CKD as well as enlightening pre-clinical research which typically assesses porosity at a single skeletal site and extrapolates it globally. Therefore, the goal of this project was to assess cortical porosity at multiple skeletal sites in rats with progressive CKD. We hypothesized that cortical porosity would occur in long bones throughout the body, but to a lesser degree in flat bones (i.e. parietal bone and ribs) and irregular bones (mandible).

Methods

Animals

Male autosomal dominant Cy/+IU rats (CKD) progressively develop kidney dysfunction and characteristics of CKD-Mineral Bone Disorder (CKD-MBD) between 28 and 35 weeks of age with cortical porosity developing between 30 and 35 weeks (Mcnerny et al., 2019). Female Cy/+ rats do not develop a similar CKD phenotype (Vorland et al., 2019) and, therefore, only males are typically used to assess alterations due to reduced kidney function in this model. For this study, 6 CKD rats were utilized with 1 age-matched wildtype littermate (CON) for control comparisons. Based on our experience with control rats with normal kidney function across multiple experiments, cortical porosity at this age is minimal (see Supplemental Table).
Supplemental Table

Control rat porosity from the Cy/+ breeding colony from historical studies at the proximal tibia, distal tibia, and midshaft femur sites (n = 14 per site).

Bones for this study were obtained from a larger imaging study where rats received one in vivo micro-CT scan and one in vivo MRI scan of the lower leg; rats received no other treatments. Rats were bred in-house and divided into CKD or CON by plasma blood urea nitrogen measured at 10 weeks of age by colorimetric assay (BioAssay Systems, Hayward, CA, USA). Rats were singly housed throughout the duration of the study in a facility with 12-h light/dark cycles. At 24 weeks of age, all rats were switched to a purified casein-based diet with 0.7 % phosphorus and 0.7 % calcium (Envigo, Madison, WI, USA). Food and water were provided ad libitum throughout the entire study. Rats were maintained on the diet until 33–35 weeks of age when they were euthanized via inhaled carbon dioxide followed by thoracotomy. No blood for serum assays was collected from the parent protocol. All animal procedures were approved by the Indiana University School of Medicine Institutional Animal Care and Use Committee prior to the initiation of any experimental protocols (Study #18072).

Micro-computed tomography

From each rat, the proximal tibia, distal tibia, midshaft femur, femoral neck, ilium, midshaft humerus, distal radius and ulna, metatarsals, and mandible were scanned on a SkyScan 1172 (Bruker, Billerica, MA, USA) with a 0.5 aluminum filter and a 12 μm voxel size. Ribs (rib number ~ 4–6) and the clavicle were scanned at an 8 μm voxel size. All bones were from the right side of the animal. The right and left parietal bones were scanned at 14 μm voxel size. The choice of voxel size for each set of bones was a balance between bone size and scanning field.

Cortical porosity assessment

Micro-CT scans were reconstructed with Bruker software (NRecon) with smoothing level 2 with a Gaussian smoothing kernel, position 8 ring artifact reduction, and 20 % beam-hardening correction. All samples were reconstructed at a dynamic image range of 0.0 to 0.09. Following reconstruction, scans were rotated to a standard orientation for each bone site (DataViewer; Bruker). Specific anatomical landmarks on bones were utilized to generate standard sites across all the samples. Proximal tibia shaft: 7 mm below the distal end of the proximal growth plate. Distal tibia shaft: 4 mm distal to the tibiofibular junction. Femoral neck: immediately proximal to the separation from the proximal shaft. Midshaft femur: 5 mm distal to the end of the ridge of the third trochanter. Distal radius and ulna shaft: 6 mm proximal to the distal end of the bone pair. Distal humerus shaft: 11 mm from distal end of bone. Medial clavicle: 3 mm from medial end. Metatarsals: 2 mm from proximal end of the first metatarsal. Ilium: 7 mm cephalad to the acetabulum. Rib: 5 mm from medial end. Mandible: at the midpoint of the most caudal tooth. Parietal bones: 4 mm posterior to the coronal suture. Outcome parameters were assessed from hand drawn regions of interest of five contiguous slices tracing the periosteal and endosteal surfaces. Bone volume was measured including the void spaces (pores) between the periosteal and endosteal surfaces. Cortical porosity was defined as the inverse of bone volume or the percent of void space within the cortical bone region (i.e. 95 % bone volume = 5 % cortical porosity). (Supplemental Fig. 1). A single average value from the five slices was obtained. The mandibular canal was removed from the region of interest in the mandible. The sagittal suture was included in the region of interest for the parietal bone (Supplemental Fig. 2). The supplemental table has all cortical porosity values, as a percent of total cortical bone area.
Supplemental Fig. 1

Images of region of interest of the proximal tibia for assessment of cortical porosity. A) Gray scale image of proximal tibia. B) Image of hand-drawn region of interest of the whole cortical bone. C) Binary thresholded image of region of interest (white = cortical bone, black = cortical pores).

Supplemental Fig. 2

Images of hand drawn regions of interest of cortical bone for the A) Ilium, B) femoral neck, C) midshaft femur, D) proximal tibia, E) distal tibia, F) clavicle, G) humerus, H) radius, I) parietal bone, J) rib, K) mandible, and L) 151 metatarsal. Blue = cortical bone included in region of interest, red = cortical pores.

Further regions of interest were obtained from the proximal tibia, distal tibia, proximal femur, and midshaft femur scans with regions of interest selected approximately 4 mm apart to capture 7 regions within the tibia and 4 regions within the femur to assess porosity changes across the length of the bone.

Statistical analyses

Data were grouped by site and by rat and graphed to demonstrate the range of porosity both within site and within rat. Each site in CKD rats was correlated to proximal tibia porosity (the site our group traditionally uses in this rodent model) and Spearman's r was recorded. As the goal of the work was to examine differences across sites in CKD, not to compare CKD to control (which has been well-established in the literature) the control sample was not included in any of the analyses or correlations. Several statistical comparisons were made across CKD rats excluding the control sample: Paired t-tests were performed to compare distal vs. proximal sites (proximal tibia vs. distal tibia; femoral neck vs. midshaft femur; midshaft humerus vs. distal radius) within CKD rats. Paired t-tests were also utilized to assess forelimb vs. hindlimb porosity (midshaft femur vs. midshaft humerus: distal tibia vs. distal radius) within CKD rats. To assess whether there are differences between weightbearing and non-weightbearing bone sites, we were unable to do a paired t-test; instead, we pulled together weightbearing sites (tibia, femur, radius, ulna, humerus) and non-weightbearing sites (clavicle, rib, mandible, parietal bone) within CKD rats and performed a Mann-Whitney U test. Likewise, we utilized the Mann-Whitney U test to compare long bones (midshaft femur, proximal and distal tibia, humerus, radius, ulna) and flat/irregular bones (ilium, rib, parietal, mandible) within CKD rats. p < 0.05 was considered statistically significant. All statistical tests were completed on SPSS Statistics version 28 (IBM; Armonk, NY, USA). Data for statistical tests are presented as individual data points with the error bar as standard deviation.

Results

Descriptive statistics of cortical porosity within CKD rats

The range of cortical porosity in the appendicular skeleton of CKD animals, excluding the metatarsals, was greatest in the proximal tibia (12.5 % to 59.8 %) and at lowest at the ulna (0.6 % to 3.3 %; Fig. 1, Fig. 2, Fig. 4a). The average cortical porosity in the CKD animals in the appendicular skeleton was highest in the femoral neck (42.4 % ± 16.7) and lowest in the ulna (1.9 % ± 0.9). Within the axial skeleton, the rib had the greatest range in cortical porosity (2.8 % to 65.1 %) with the mandible having the lowest range (29.6 % to 72.4 %; Fig. 3, Fig. 4A). The highest average porosity in the axial skeleton was in the parietal bone (49.75 % ± 20.6) and the lowest in the rib (25.0 % ± 24.8). Within the five metatarsals, the first metatarsal had the highest range (3.1 % to 33.7 %) and the highest average (14.6 % ± 12.3) while the second metatarsal had the lowest range (0.4 % to 1.2 %) and the lowest average porosity (0.7 % ± 0.4; Fig. 5a, b). Of all sites measured, the site with the highest average porosity was the parietal bone (49.8 % ± 20.6) followed by the mandible (47.0 % ± 17.0) followed by the femoral neck (42.4 % ± 16.7). Within rats including all bone sites, excluding the metatarsals, CKD1 had the highest range (3.3 % to 84.5 %) and the greatest average total body cortical porosity (43.5 % ± 24.2; Fig. 6). CKD4, the rat with the lowest range (1.3 % to 29.6 %), also had the lowest total average porosity (13.8 % ± 11.8; Fig. 6). Table 1 has cortical porosity values, as a percent of total cortical bone area, for all bone sites across all CKD animals.
Fig. 1

Images of micro-CT scans of hindlimbs – ilium, femoral neck, midshaft femur, proximal tibia, distal tibia.

Fig. 2

Micro-CT images from scans of forelimbs – clavicle, humerus, radius and ulna.

Fig. 4

Spread of cortical porosity in the appendicular (A) and axial (B) skeleton across all rats. Data points of the same color and shape refer to the same rat (i.e. orange circles = CON).

Fig. 3

Images of micro-CT scans of the axial skeleton – parietal bones, rib, and mandible.

Fig. 5

Spread of cortical porosity in the metatarsals across all rats (A) and images from the micro-CT scans (B). Data points of the same color and shape refer to the same rat (i.e. orange circles = CON).

Fig. 6

Cortical porosity spread within the same rat at all skeletal sites measured excluding the metatarsals. Data points of the same color and shape all refer to the same rat.

Table 1

Cortical porosity (%) in all rats at all bone sites.

SiteCKD1CKD2CKD3CKD4CKD5CKD6CON
Proximal tibia59.8425.6620.0912.5043.9523.830.27
Distal tibia25.4912.188.815.7917.6810.950.49
Midshaft femur35.8222.8618.9713.9018.7111.411.05
Femoral neck53.0552.0715.3829.4558.9145.611.60
Ilium46.8040.9521.3628.7636.0825.602.68
Clavicle19.442.298.511.5310.397.341.85
Midshaft humerus32.7014.1611.0810.9619.1412.480.77
Radius23.661.921.941.276.620.690.80
Ulna3.271.202.481.921.940.571.49
1st Metatarsal24.905.1313.963.0833.736.852.90
2nd Metatarsal1.170.560.631.190.360.350.97
3rd Metatarsal1.860.650.591.330.430.680.32
4th Metatarsal6.600.210.510.500.460.360.38
5th Metatarsal19.930.830.391.560.370.530.49
Parietal Bone84.5245.7435.4027.2862.0743.569.12
Mandible72.4145.8333.0629.6362.3038.9310.28
Rib65.0916.463.502.8044.6917.421.72
Images of micro-CT scans of hindlimbs – ilium, femoral neck, midshaft femur, proximal tibia, distal tibia. Micro-CT images from scans of forelimbs – clavicle, humerus, radius and ulna. Images of micro-CT scans of the axial skeleton – parietal bones, rib, and mandible. Spread of cortical porosity in the appendicular (A) and axial (B) skeleton across all rats. Data points of the same color and shape refer to the same rat (i.e. orange circles = CON). Spread of cortical porosity in the metatarsals across all rats (A) and images from the micro-CT scans (B). Data points of the same color and shape refer to the same rat (i.e. orange circles = CON). Cortical porosity spread within the same rat at all skeletal sites measured excluding the metatarsals. Data points of the same color and shape all refer to the same rat. Cortical porosity (%) in all rats at all bone sites.

Porosity across the tibia and femur

From seven regions selected across the two tibia scans, porosity was higher at the proximal tibia compared to porosity at the midshaft or below (Fig. 7). Across 4 regions in the femur, the femoral neck had higher porosity than other sites along the proximal and midshaft femur (Fig. 8).
Fig. 7

Cortical porosity assessed at seven sites across the proximal to distal tibia.

Fig. 8

Cortical porosity assessed at four different sites from the proximal through midshaft femur.

Cortical porosity assessed at seven sites across the proximal to distal tibia. Cortical porosity assessed at four different sites from the proximal through midshaft femur.

Bone site comparisons

In a paired t-test, the distal tibia had less porosity than the proximal tibia (p = 0.01). Similarly, the proximal femur had higher porosity than the midshaft femur (p = 0.019) and the midshaft humerus had higher porosity than the distal radius (p < 0.0001; Fig. 9a). Comparing hindlimb and forelimb, there was no statistical difference between cortical porosity in the midshaft femur and midshaft humerus (p = 0.088), but the distal tibia did have higher porosity than the distal radius (p = 0.004; Fig. 9b). Grouping together long bone sites and flat/irregular bone sites, flat and irregular bones had higher cortical porosity than did long bones (p < 0.0001; Fig. 9c). Comparing weight-bearing sites vs. non-weight-bearing sites, non-weightbearing sites had higher porosity than did weight bearing sites (p = 0.01; Fig. 9d).
Fig. 9

Comparisons of cortical porosity across skeletal sites. A) Cortical porosity was higher in proximal sites vs. distal sites at the proximal and distal tibia, femoral neck and midshaft femur, and midshaft humerus and distal radius. B) Cortical porosity was not statistically higher in the midshaft femur vs. the midshaft humerus, but porosity was higher in the distal tibia vs. the distal radius. C) Flat and irregular bones had higher porosity than long bones. D) Non-weightbearing sites had higher porosity than weightbearing skeletal sites. The p-value of each independent test is listed.

Comparisons of cortical porosity across skeletal sites. A) Cortical porosity was higher in proximal sites vs. distal sites at the proximal and distal tibia, femoral neck and midshaft femur, and midshaft humerus and distal radius. B) Cortical porosity was not statistically higher in the midshaft femur vs. the midshaft humerus, but porosity was higher in the distal tibia vs. the distal radius. C) Flat and irregular bones had higher porosity than long bones. D) Non-weightbearing sites had higher porosity than weightbearing skeletal sites. The p-value of each independent test is listed.

Correlations across bone sites

CKD rat proximal tibia cortical porosity was correlated to all bone sites measured excluding metatarsals 2–5. The strongest correlations were to the parietal bone (r = 0.995), the rib (r = 0.990), the mandible (r = 0.985), and the distal tibia (r = 0.985). The weakest correlations were to the ulna (r = 0.562) and the femoral neck (r = 0.671; Fig. 10).
Fig. 10

Correlations between proximal tibia cortical porosity and other skeletal sites. The r correlation coefficient is reported in the top right of each graph.

Correlations between proximal tibia cortical porosity and other skeletal sites. The r correlation coefficient is reported in the top right of each graph.

Discussion

The primary finding of this study is that cortical porosity occurs at varying degrees throughout the skeleton of rats with CKD with the most prevalent porosity in the axial skeleton and the long bones of the hindlimb. Contrary to our original hypothesis, flat and irregular bones had higher cortical porosity than long bone sites measured. Additionally, the skeletal location (i.e., proximal vs. distal) had a significant impact on cortical porosity prevalence. Within rats, the heterogeneity of porosity was large across the sites measured demonstrating the variability of cortical bone deterioration across the skeleton. In clinical studies, hip fractures are often the primary concern due to the high morbidity and mortality associated with their occurrence and, therefore, are the most reported fracture site. Hip fractures are higher in CKD patients vs. the general population (Kim et al., 2016), higher in patients requiring dialysis (Alem et al., 2000; Maravic et al., 2014; Tentori et al., 2014), and generally increase in prevalence with increasing stages of CKD (Nickolas et al., 2006; Pimentel et al., 2017). While less reported, fractures in other skeletal sites have also been noted. For example, in one cohort of patients on maintenance dialysis, 24 % of fractures were in the leg, 24 % in the forearm, and 14 % in the hip (Ambrus et al., 2011). In another group of dialysis patients, 23 % of fractures noted were in the hip, 21 % in the clavicle or rib, while 13 % were in the tibia/fibula and in the wrist (Iimori et al., 2012). In a study of 3883 dialysis patients with secondary hyperparathyroidism, over 50 % of the adjudicated fractures were at non-hip cortical sites (Moe et al., 2015a). Unfortunately, in these studies, cortical porosity was not measured. Cortical porosity tends to increase with advancing stages of CKD and fracture risk increases significantly with decline in kidney function (Naylor et al., 2014). Interestingly, Naylor et al. tracked the first fracture reported accounting for stage of kidney function and found that 47 % of first fractures for those with normal kidney function were in the forearm, while 27 % were in the hip; however, in individuals with the lowest kidney function, hip fractures accounted for 54 % of total fractures and forearm fractures accounted for 19 % (Naylor et al., 2014). Generally, first fracture sites of the arm decreased with declines in kidney function while hip fractures increased with declines in kidney function (Naylor et al., 2014). While the reasons for this are not hypothesized by the authors, it is plausible that increased cortical porosity with advancing CKD could weaken the femoral neck leading to an increase in fractures at this site while fall-related fractures at the forearm decreased. Although measuring in rodents which are quadrupeds, the femoral neck site had the greatest average porosity across the appendicular sites we assessed. Development of techniques to image the femoral neck/hip for porosity in human clinical patients could be advantageous for assessing patients at risk for hip fractures. Despite differences in cortical bone structure and physiology between humans and rodents, both develop cortical porosity in several different conditions including CKD (Nickolas et al., 2013; Mcnerny et al., 2019; Metzger et al., 2021a). Therefore, we hypothesize there are similar mechanisms initiating porosity development despite a lack of basal intracortical remodeling in rats. The Cy rat model of CKD leads to significant and rapid porosity development between 30 and 35 weeks of age (Mcnerny et al., 2019). Typically, rodent studies measure cortical porosity at a single site, often at the tibia or femur. In this study, we examined porosity at multiple sites throughout the rat skeleton and found porosity varied significantly across sites within rats and within rats across sites. Bones of the hindlimb tended to have higher porosity than bones of the forelimb. Additionally, within the metatarsals, porosity was present at the site measured in the 1st metatarsal of CKD rats, but rarely present in metatarsals 2–5. We also found higher porosity at proximal sites vs. distal sites in paired t-tests within animals and higher porosity in non-weightbearing sites vs. weightbearing sites in pooled samples. Therefore, the site or sites measured in pre-clinical rodent studies should be carefully considered when making general conclusions about the data. For example, external loading studies in rodents to assess the impact of mechanical loading are often completed on the ulna; however, if porosity was a primary outcome of interest, utilizing this site may limit conclusions due to less porosity at that site. Within our data, the proximal tibia, a site routinely used by us and others to examine bone morphology, correlated with most other sites, albeit to varying degrees. Interestingly, we found significant cortical porosity at sites typically not assessed, like the parietal bone and mandible, which may indicate the need for increased understanding of cortical bone changes in CKD at sites beyond the hip and long bones and how this may lead to other complications associated with the skeleton. For example, expansive jaw lesions have been documented in CKD patients as well as radiographic evidence of calvaria bone deterioration (Raubenheimer et al., 2015). These clinical findings, consistent with the findings in our rodents, demonstrate the rodent model as reflective of human disease. While not empirically studied here, we speculate several potential factors that could influence the variation in cortical porosity across the skeleton. First, it is plausible that mechanical loads could have an impact on where and to what degree pores develop. While the relationship between porosity and mechanical loading is not known, greater mechanical loads on a site could potentially prevent or lessen pore development. On the contrary, increased loads, particularly fatigue-inducing loads, could increase damage within the bone leading to an increased need to remodel, therefore, increasing porosity. Statistically, there was higher porosity in non-weightbearing sites when compared to weightbearing sites. Within weight bearing sites, distal tibia had higher porosity than the distal radius. Studies examining the normal load bearing of rats have demonstrated that ~80 % of their body weight is placed on their hindlimbs while standing (Schött et al., 1994) and approximately 50 % is carried on the forelimbs and hindlimbs each while normally ambulating (Clarke, 1995). The rats in our study had normal weightbearing loads without additional activity so we cannot assume increased mechanical forces lead to porosity changes. Due to the normal weight-bearing of standing bearing more on the hindlimbs, we also cannot assume the forelimb has less porosity due to increased mechanical loads. Secondly, our group has previously demonstrated that higher cortical bone blood perfusion was associated with higher cortical porosity in the femur and tibia (Aref et al., 2019). In healthy standing rats, bone blood perfusion is higher in sites like the proximal tibia and femoral neck than in sites like the distal tibia and distal radius/ulna (Colleran et al., 2000). Therefore, we speculate differences in bone vascular perfusion could potentially have an impact on porosity variation. Finally, we have previously assessed osteocyte apoptosis and osteocyte RANKL in rodents with CKD hypothesizing that alterations in osteocyte lifespan and signaling could instigate osteoclast resorption of cortical bone (Metzger et al., 2019; Metzger et al., 2021b). Therefore, we speculate that differences in osteocyte density or signaling across sites of the skeleton may also be a contributing factor to the variation in cortical porosity. This study is limited in that we are unable to directly assess severity of CKD in the rodents studied as no serum/plasma was collected at study endpoint in the parent protocol to measure markers of kidney function or parathyroid hormone (PTH); however, previous work with this same model of rats consistently demonstrates high circulating PTH and decreased kidney function by the age of the animals in this study (Mcnerny et al., 2019; Moe et al., 2014; Moe et al., 2015b; Allen et al., 2020; Moe et al., 2009; Chen et al., 2020). Furthermore, we were unable to assess bone turnover due to tissues from the parent protocol not being stored for histology. CKD with high circulating PTH, which the Cy/+ male rats demonstrate, is characterized by high bone turnover in both rodent (Metzger et al., 2021a; Metzger et al., 2021b; Moe et al., 2014; Moe et al., 2015b; Chen et al., 2020) and clinical studies (Malluche et al., 2011). While unable to directly assess bone turnover in this study, previous work consistently demonstrates high bone turnover in these CKD rats (Moe et al., 2014; Moe et al., 2015b; Chen et al., 2020); however, we cannot assess differences between animals in this study or relate turnover to cortical porosity. Additionally, a sex comparison is not possible with this model of progressive CKD due to heterozygous female Cy/+ rats not developing features of kidney disease, but other models, like adenine-induced CKD, could be used for this type of assessment in the future. Our scanning voxel size in this study, while sufficient to detect the macro porosity present in these rats, may not detect much smaller micro-level pores. Furthermore, future studies can assess the mechanistic drivers of cortical deterioration across the skeleton. Finally, the rats in our study were all approximately the same age so we cannot determine if there are temporospatial aspects that factor into cortical porosity initiation or if the speed of progression differs among sites. In conclusion, cortical porosity occurs throughout the skeleton in rats with progressive CKD. There is variation both across individuals within skeletal sites and across skeletal sites within an individual rat. From a pre-clinical study perspective, these data demonstrate that porosity assessment at only one site of the skeleton may not be generalizable to the skeleton as a whole and the location of the site(s) measured could influence the interpretation of the data. Additionally, care should be taken to assess cortical porosity in the same region as other tests, particularly those looking at mechanical properties of bone. From a clinical perspective, these data in a rodent model of CKD demonstrate the potential for porosity-related weakening of bones at multiple skeletal sites in patients with CKD. The following are the supplementary data related to this article. Images of region of interest of the proximal tibia for assessment of cortical porosity. A) Gray scale image of proximal tibia. B) Image of hand-drawn region of interest of the whole cortical bone. C) Binary thresholded image of region of interest (white = cortical bone, black = cortical pores). Images of hand drawn regions of interest of cortical bone for the A) Ilium, B) femoral neck, C) midshaft femur, D) proximal tibia, E) distal tibia, F) clavicle, G) humerus, H) radius, I) parietal bone, J) rib, K) mandible, and L) 151 metatarsal. Blue = cortical bone included in region of interest, red = cortical pores. Control rat porosity from the Cy/+ breeding colony from historical studies at the proximal tibia, distal tibia, and midshaft femur sites (n = 14 per site).

Funding

This work was supported by a United States (U.S.) Merit Grant (BX003025) to MRA, (075717-00002B) to CLN, NIH (F32DK122731) to CEM and NIH grant (R01DK110871) to SMM/MRA. The contents do not represent the views of the NIH, U.S. Department of Veterans Affairs or the United States Government or the RSNA R&E Foundation.

Data availability

All data utilized in this manuscript is presented in table or graph format.

CRediT authorship contribution statement

Corinne E. Metzger: Conceptualization, Data curation, Formal analysis, Investigation, Validation, Writing – original draft, Writing – review & editing. Christopher L. Newman: Funding acquisition, Validation, Writing – review & editing. Samantha P. Tippen: Conceptualization, Investigation, Writing – review & editing. Natalie T. Golemme: Data curation, Formal analysis, Investigation, Writing – review & editing. Neal X. Chen: Resources, Writing – review & editing. Sharon M. Moe: Resources, Writing – review & editing. Matthew R. Allen: Conceptualization, Formal analysis, Funding acquisition, Project administration, Resources, Supervision, Writing – review & editing.

Declaration of competing interest

The authors have no conflicts of interest.
  33 in total

1.  Alterations in skeletal perfusion with simulated microgravity: a possible mechanism for bone remodeling.

Authors:  P N Colleran; M K Wilkerson; S A Bloomfield; L J Suva; R T Turner; M D Delp
Journal:  J Appl Physiol (1985)       Date:  2000-09

2.  A rat model of chronic kidney disease-mineral bone disorder.

Authors:  Sharon M Moe; Neal X Chen; Mark F Seifert; Rachel M Sinders; Dana Duan; Xianming Chen; Yun Liang; J Scott Radcliff; Kenneth E White; Vincent H Gattone
Journal:  Kidney Int       Date:  2008-09-17       Impact factor: 10.612

3.  Parathyroid suppression therapy normalizes chronic kidney disease-induced elevations in cortical bone vascular perfusion: a pilot study.

Authors:  M W Aref; E A Swallow; C E Metzger; N Chen; S M Moe; M R Allen
Journal:  Osteoporos Int       Date:  2019-05-08       Impact factor: 4.507

4.  The three-year incidence of fracture in chronic kidney disease.

Authors:  Kyla L Naylor; Eric McArthur; William D Leslie; Lisa-Ann Fraser; Sophie A Jamal; Suzanne M Cadarette; Jennie G Pouget; Charmaine E Lok; Anthony B Hodsman; Jonathan D Adachi; Amit X Garg
Journal:  Kidney Int       Date:  2014-01-15       Impact factor: 10.612

5.  Assessment of trabecular and cortical architecture and mechanical competence of bone by high-resolution peripheral computed tomography: comparison with transiliac bone biopsy.

Authors:  A Cohen; D W Dempster; R Müller; X E Guo; T L Nickolas; X S Liu; X H Zhang; A J Wirth; G H van Lenthe; T Kohler; D J McMahon; H Zhou; M R Rubin; J P Bilezikian; J M Lappe; R R Recker; E Shane
Journal:  Osteoporos Int       Date:  2009-05-20       Impact factor: 4.507

6.  Hip Fracture in Patients With Non-Dialysis-Requiring Chronic Kidney Disease.

Authors:  Sun Moon Kim; Jin Long; Maria Montez-Rath; Mary Leonard; Glenn M Chertow
Journal:  J Bone Miner Res       Date:  2016-07-11       Impact factor: 6.741

Review 7.  Fractures in patients with CKD-diagnosis, treatment, and prevention: a review by members of the European Calcified Tissue Society and the European Renal Association of Nephrology Dialysis and Transplantation.

Authors:  Ana Pimentel; Pablo Ureña-Torres; M Carola Zillikens; Jordi Bover; Martine Cohen-Solal
Journal:  Kidney Int       Date:  2017-09-28       Impact factor: 10.612

8.  Strain-specific alterations in the skeletal response to adenine-induced chronic kidney disease are associated with differences in parathyroid hormone levels.

Authors:  Corinne E Metzger; Elizabeth A Swallow; Alexander J Stacy; Matthew R Allen
Journal:  Bone       Date:  2021-04-17       Impact factor: 4.626

9.  High rates of death and hospitalization follow bone fracture among hemodialysis patients.

Authors:  Francesca Tentori; Keith McCullough; Ryan D Kilpatrick; Brian D Bradbury; Bruce M Robinson; Peter G Kerr; Ronald L Pisoni
Journal:  Kidney Int       Date:  2013-07-31       Impact factor: 10.612

10.  N-acetylcysteine (NAC), an anti-oxidant, does not improve bone mechanical properties in a rat model of progressive chronic kidney disease-mineral bone disorder.

Authors:  Matthew R Allen; Joseph Wallace; Erin McNerney; Jeffry Nyman; Keith Avin; Neal Chen; Sharon Moe
Journal:  PLoS One       Date:  2020-03-23       Impact factor: 3.240

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