Apolipoprotein E (apoE), which is a major apolipoprotein of several lipoprotein classes, mediates the cellular uptake of lipoproteins by binding to hepatic endocytotic cell surface lipoprotein receptors.1–4 The human APOE gene is characterized by three common isoforms APOE ε2, ε3, and ε4, which arise from two single-nucleotide polymorphisms and result in different metabolic properties of the apoE isoforms, contributing to the association of the polymorphism with plasma lipid levels and cardiovascular and neurodegenerative disease.5–7 The precise cellular mechanisms that are responsible for the differences between apoE2, apoE3, and apoE4 are not fully understood,6, 8 but lipoproteins containing apoE2 bind less well to the low-density lipoprotein receptor (LDLR), whereas apoE4 has a higher affinity to lipoprotein receptors, which results in different plasma lipoprotein profiles as well as different intracellular degradation and recycling pathways of the isoforms.9 Recently a new role for apoE has emerged as a regulator of bone metabolism. Numerous works have been published on the question of whether or not apoE isoforms are differentially associated with bone mineral density (BMD) and fractures. These studies have yielded controversial results, at least at superficial analysis.10 Part of the reason for this apparent controversy is different study designs with regard to cohort size, gender, ethnicity, end points, and confounding parameters.
One major additional point that renders human clinical studies difficult is the asymmetric allele frequency of APOE ε2, ε3, and ε4 (about 0.05–0.1 versus 0.7–0.8 versus 0.1–0.2 in Caucasians),11, 12 leading to the requirement of very large patient cohorts in order to be able to compare adequate numbers of APOE ε2/ε2 versus ε3/ε3 versus ε4/ε4 individuals.10 More recently, genetic mouse models with apoE deficiency have been used to shed further light on its role as a regulator of bone metabolism. As such, we and others have previously described that Apoe deficiency results in a high bone mass phenotype, and that the lack of apoE modulates the effect of a high-fat diet and of chronic renal failure on bone in mice.13–15 Human APOE deficiency, by contrast, is an extremely rare condition and is thus impossible to study in a clinical setting. From the very few individuals that have been described in the literature, there is no information available on potential bone phenotypic abnormalities.16, 17
Given the clear impact of apoE on bone biology in mice, and in light of the putative isoform-specific effects of apoE on bone in humans, the current study was designed to clarify the issue of whether or not the human apoE2, apoE3, and apoE4 isoforms differentially affect bone metabolism. To address this question, we investigated bone turnover, structure, and biomechanical stability of transgenic apoE knock-in (k.i.) mice, which exclusively express one human isoform each (apoE2 k.i., apoE3 k.i., and apoE4 k.i.) instead of the murine apoE.18–21 We also determined serum levels of bone turnover markers in samples from healthy men whose APOE genotype was known.
Materials and Methods
All biochemical reagents were purchased from Sigma-Aldrich (St. Louis, MO, USA) unless indicated otherwise.
Transgenic mice, homozygous for targeted replacement of the mouse endogenous Apoe gene with the human APOE2, APOE3, and APOE4 on a C57BL/6 background were purchased from Taconic (Hudson, NY, USA; http://www.taconic.com). All animals were kept at the University of Texas (UT) Southwestern animal facility on a 12-hour light cycle and fed a standard rodent chow diet (Diet 7001; Harlan Teklad, Madison, WI, USA) with access to water ad libitum. At 12 weeks, female mice were fasted for 4 hours at a standardized time of the day prior to collection of urine. Animals were euthanized with isoflurane, exsanguinated, and the skeletons were freed of soft tissue attachments. Upon euthanasia, mouse skeletons were fixed in 4% PBS-buffered paraformaldehyde (Electron Microscopy Sciences) overnight at 4°C followed by an overnight incubation in 70% ethanol, and finally stored in 80% ethanol. All procedures were performed in accordance with the protocols approved by the Institutional Committee for Use and Care of Laboratory Animals of the University of Texas Southwestern Medical Center at Dallas (IACUC). Calcein label (Sigma-Aldrich, St. Louis, MO, USA) was intraperitoneally injected 9 and 2 days before euthanasia according to a standard double-labeling protocol.22
Mouse serum and urine analysis
Mouse serum osteocalcin (OCN) was determined by an immunoradiometric assay (Immutopics, San Clemente, CA, USA) according to the manufacturer's instructions, and serum alkaline phosphatase (ALP) activity was determined by the para-nitrophenyl phosphate (pNPP) method. The concentration of deoxypyridinoline (DPD) cross-links in urine was measured using an ELISA (Quidel, San Diego, CA, USA) and normalized to urinary creatinine levels determined by an alkaline picrate assay (Quidel) according to the manufacturer's instructions. Mouse serum osteoprotegerin (OPG) and serum receptor activator of NF-κB ligand (RANKL) were determined by quantitative sandwich enzyme immunoassays (R&D Systems, Minneapolis, MN, USA) according to the manufacturer's instructions.
Bone histomorphometry and histological analysis
For comparative quantitative histomorphometry, undecalcified lumbar spines (L2–L4) were embedded in methylmethacrylate after dehydration and 5-µm sections were cut in the sagittal plane on a rotation microtome (Cut 4060E; MicroTech, Walldorf, Germany) as described.22 Sections were stained with toluidine blue and with modified von Kossa/van Gieson. Analysis of bone volume (BV/TV; %), trabecular thickness (Tb.Th; µm), trabecular number (Tb.N; mm−1), trabecular separation (Tb.Sp; µm), osteoblast number per bone perimeter (N.Ob./B.Pm; mm−1), osteoclast number per bone perimeter (N.Oc./B.Pm; mm−1), and trabecular bone formation rate (BFR/BS; µm3/µm2/year) was performed on L3 and L4 according to standardized protocols of the American Society for Bone and Mineral Research23 using the Osteomeasure histomorphometry system (Osteometrics, Decatur, GA, USA) in a blinded fashion. For the assessment of dynamic histomorphometric indices, mice were injected twice with calcein label as described above in the Animals section. Fluorochrome measurements were made on two nonconsecutive 12-µm-thick sections per sample that were mounted unstained in Fluoromount (Electron Microscopy Sciences, Hatfield, PA, USA).
Micro–computed tomography and biomechanical testing
In order to analyze the bone microstructure and bone mineralization, the femora and lumbar vertebrae were scanned (55 kV/145 µA) in a micro–computed tomographic scanner (µCT) (µCT40; Scanco Medical, Brüttisellen, Switzerland) with an isometric voxel size of 12-µm. Five samples were scanned simultaneously using a specially-built sample-holder with an integrated mineralization phantom that enables immediate BMD evaluation. For further histomorphometric analyses the raw data were manually segmented and analyzed with the µCT Evaluation Program V4.4A (Scanco Medical). Thus data for trabecular BV/TV (%) and cortical thickness (Ct.Th; mm) of the femur diaphysis were obtained in the scanned samples.24
Biomechanical stability of the bone samples was determined using a commercial high precision instrument (Z2.5/TN 1S; Zwick, Ulm, Germany). For femoral testing, three-point-bending assays were used. In brief, the ends of the bone were supported on two fulcra separated by 7 mm. With the posterior aspect of the femur resting on the fulcra, a load was applied from above to the anterior diaphysis midway between the two fulcra, at a constant speed of 3 mm/min to failure. Accordingly, vertebral strength was assessed using compression testing. Lumbar vertebrae (L5, L6) were mounted axially between the flat ends of two collinearly aligned aluminum cylinders by filling the gaps with a sufficient amount of light-curing dental adhesive. These cylinders served as compression pins in subsequent biomechanical tests as force was applied axially from above at a constant speed of 3 mm/min to failure. Biomechanical failure was defined as a reduction of 25% of maximum force or a displacement of more than 10 mm. A chart recorder was used to generate a force-deformation curve. Maximum force (Fmax, N) and energy absorption when reaching maximum force (N × mm) were evaluated.
Quantitative backscattered electron imaging
BMD distribution (BMDD) measurements were performed on methylmethacrylate-embedded biopsies using quantitative backscattered electron imaging (qBEI). The application of this method and our technical setup have been reported.25–27 The biopsies were ground coplanar, polished, and carbon-coated. The scanning electron microscope (LEO 435 VP; Leo Electron Microscopy Ltd., UK) was operated at 20 kV and 580 pA at a constant working distance of 20 mm (BSE Detector, Type 202; K.E. Developments Ltd., UK). The signal amplification was calibrated during the entire procedure using carbon and aluminum standards (MAC Consultants Ltd., UK). Gray-level histograms of the bone specimens were obtained (Image J 1.42; National Institutes of Health, Bethesda, MD, USA) and converted into calcium (Ca) weight. For statistical analysis Ca mean, Ca peak, and Ca weight were evaluated as described.25 The accuracy of the method was ensured by energy-dispersive X-ray spectroscopy (EDX) measurements of previously qBEI-measured bone biopsies (EDAX DX-4; EDAX Inc., USA).
Determination of human bone turnover markers in healthy subjects
The prospective Second Northwick Park Heart Study (NPHS II) commenced in 1989. A sample of 3052 middle-aged men (50–61 years old) were recruited from nine general medical practices in the UK. Methods have been described.28, 29 NPHS II has a total of 3052 participants of which 3012 are white. Of these, 2775 had DNA taken, and of these 2685 had the APOE genotype determined. The study was ethically approved by the local Medical Research Council (MRC) institutional review committee. Participants attended examination in a nonfasting state, but were asked to refrain from smoking, vigorous exercise, or heavy meals from midnight prior to the appointment. Height to the nearest 0.1 cm below and weight to the nearest 0.1 kg below were measured using a stadiometer and balance scale, respectively, in order to ascertain body mass index (BMI, kg/m2). Smoking habits were assessed by questionnaires. A 5-mL sample of venous blood was collected into a glass tube by Vacutainer technique (Becton Dickenson, Cowley, Oxford, UK), and serum was stored at −40°C prior to analysis in plastic screwcap vials (Nunc).
Human bone turnover markers were determined using commercially available assays according to the respective manufacturer's instructions: osteoprotegerin and bone-specific alkaline phosphatase from Quidel; RANKL (ampli-sRANKL) from Biomedica (Vienna, Austria); osteocalcin from Immunotopics; and cross-linked N-telopeptide of type I collagen (NTX) from Teco Medical (Sissach, Switzerland).
DNA was extracted using the salting-out method from nucleated blood cells, and APOE genotype was determined by PCR and restriction enzyme analysis as described.12, 30 Independent observers unaware of the status of the participants read and cross-checked all genotypes, and genotype was obtained in 2685 of 2775 (96.8%) subjects.
For mouse data, a one-way ANOVA test including a Tukey test for post hoc analysis was used to assess statistical significance between groups for the respective mouse data (Figs. 1–3).
Statistical analysis for the human data was performed using STATA (Intercooled STATA Version 11.2; STATA Corp., College Station, TX, USA). Baseline characteristics were compared by ANOVA, continuous variables being presented as means and standard errors of the mean (SEMs). Non-normally distributed variables were log-transformed before analysis with results presented as geometric means and approximate SEMs. For pairwise comparisons, ε2ε2 and ε4ε4 groups were compared using unpaired t tests. As each ε2ε2 and ε4ε4 was individually matched to an ε3ε3 participant, comparisons with the ε3ε3 group were made within matched pairs using paired t tests. Smoking status was compared by chi-squared test. Asterisks in the figures are used to indicate levels of significance: *p < 0.05, **p < 0.005, and ***p < 0.001.
Bone turnover markers and OPG/RANKL differ significantly between apoE2, apoE3, and apoE4 k.i. mice
As a first approach to test in vivo whether the human apoE isoforms apoE2, apoE3, and apoE4 may differentially affect bone metabolism, we analyzed biochemical bone turnover markers in serum and urine as well as the serum OPG and RANKL concentrations in 12-week-old female animals of each genotype (apoE2 k.i., apoE3 k.i., and apoE4 k.i.; n ≥ 13 per group). Overall, total differences in the serum concentration of the bone formation markers osteocalcin and alkaline phosphatase (not bone specific), as well as the urinary resorption marker deoxypyridinoline (DPD), were small between the groups of mice with different genotypes, but significant when comparing apoE2 k.i. with apoE4 k.i. mice (OCN p < 0.05, DPD p < 0.005). Higher OCN and DPD concentrations in apoE2 k.i. than in apoE 4 k.i. indicated a relatively high bone turnover status in apoE2 k.i. animals and a relatively low turnover status in apoE4 k.i. mice, with apoE3 k.i. values between the other two genotypes (Fig. 1A). This finding was further supported by significantly higher serum OPG (p < 0.05) and RANKL (p < 0.001) serum concentrations in apoE2 k.i. mice with the OPG/RANKL ratio being significantly lower in apoE2 k.i. animals as compared to apoE3 k.i. and apoE4 k.i. (p < 0.05, Fig. 1B), suggesting a high bone turnover state with prevailing resorption in apoE2 k.i. mice.
Low lumbar trabecular bone mass and bone formation rate in apoE2 k.i. mice
We next analyzed whether the apoE isoform-specific differences in bone turnover markers and serum OPG/RANKL ratio corresponded to apoE isoform-specific differential effects on bone architecture. Histomorphometric analysis of lumbar vertebrae of eight (apoE2, apoE3) or nine (apoE4) animals per genotype revealed a significantly lower trabecular bone mass (BV/TV) in apoE2 k.i. versus apoE3 k.i. and apoE4 k.i. mice (p < 0.005) with according changes in trabecular numbers (Tb.N) and trabecular separation (Tb.Sp) (Fig. 2A), corresponding well to the biochemical indicators of high bone turnover, with prevailing resorption in apoE2 k.i. animals (Fig. 1). Bone formation rate (BFR), as assessed by the calcein-labeling technique, showed a similar pattern between the three apoE isoforms, with significantly lower BFR in apoE2 k.i. in comparison to apoE3 k.i. and apoE4 k.i. (p < 0.05, Fig. 2B). Osteoblast and osteoclast cell numbers were not significantly different in the lumbar vertebrae of mice with different genotypes (Fig. 2C).
Reduced biomechanical stability of the lumbar spine, but not the femur in apoE2 k.i. mice
We assessed the microarchitecture and stability of lumbar vertebrae and femoral cortex in the transgenic apoE k.i. animals by µCT and biomechanical stress tests, in order to understand whether the apoE isoforms have a compartment-specific effect on trabecular and cortical bone. The histomorphometric findings of reduced vertebral trabecular bone mass (Fig. 2B) was confirmed by the µCT analyses, which demonstrated significantly lower BV/TV in apoE2 k.i. mice than in apoE3 k.i. and apoE4 k.i. mice for the lumbar vertebrae (p < 0.001) as well as the distal femur (apoE2 k.i. versus apoE3 k.i. only, p < 0.005) (Fig. 3A, B). The lower vertebral trabecular bone mass in apoE2 k.i. mice resulted in a corresponding significantly reduced biomechanical stability of the lumbar vertebrae as assessed by the maximum force endurance in an axial compression loading test in comparison to apoE4 k.i. (p < 0.005; Fig. 3A). In contrast to the clear differences in trabecular BV/TV and vertebral stability, the femoral cortical thickness in the mid-shaft region was not different between mice with different genotypes (Fig. 3B). Accordingly, the maximum force resistance of the femora in a three-point bending test did not differ between mice with different apoE isoforms (Fig. 3B).
BMD distribution in apoE k.i. mice
Because there was an apparent disconnect between the lumbar trabecular BV/TV and lumbar vertebral stability between the apoE3 k.i. and apoE4 k.i. mice (Fig. 3A), which suggests underlying differences beyond bone microarchitecture between the genotypes that contribute to biomechanical stability, we investigated the BMD distribution (BMDD) in the mineralized phase of the bone matrix. However, BMDD as assessed by qBEI did not reveal differences between the mean Ca content or the peak and width of the Ca distribution between apoE3 and apoE4 lumbar vertebral trabecular bone of L3 and L4 (Fig. 4).
Reduced OPG/RANKL ratio in the serum of human homozygous APOE ε2/ε2 individuals
In a first attempt to transfer the findings in the previous section in the animal model to humans, we have analyzed biochemical turnover markers as well as OPG and RANKL concentrations in the serum of healthy, male individuals homozygous for the APOE ε2, ε3, and ε4 alleles, respectively. The serum samples were selected according to genotype from the NPHS II, which comprised a total 2685 healthy middle-aged Caucasian UK males. The basic characteristics of this cohort have been described.12 Because of its comparably low allele frequency, the APOE ε2 allele was the limiting factor for the current study, allowing for the analysis of serum samples of n = 21 homozygous APOE ε2/ε2 men and n = 55 homozygous APOE ε4/ε4 men that were matched (on age ± 3 years) to n = 80 APOE ε3/ε3 (Table 1). Baseline characteristics with an influence on bone mass, such as age, BMI, and smoking status did not show any differences between the groups. In contrast to the transgenic mice, the serum bone formation markers bone-specific alkaline phosphatase (BSAP) and osteocalcin as well as the serum bone resorption marker NTX did not display any significant differences between the three APOE genotype groups (Fig. 5A). However, serum concentrations of RANKL and OPG did show a pattern that was reflecting the isoform-specific differences of the apoE k.i. mice: APOE ε2/ε2 individuals displayed a significantly higher RANKL serum concentration, resulting in a significantly lower OPG/RANKL ratio than APOE ε4/ε4 individuals, with APOE ε3/ε3 values intermediate between the two other groups (Fig. 5B).
Table 1. APOE Genotype Distribution, Age, BMI, and Smoking Status in the NPHS II Subgroup Analyzed in This Study
APOE genotype distribution
ε2ε2 (n = 21)
ε3ε3 (n = 80)
ε4ε4 (n = 55)
BMI = body mass index; NPHS II = Second Northwick Park Heart Study.
Age, years (mean ± SD)
BMI, kg/m2 (mean ± SD)
Current smoking, % (n)
Here we report that the human apoE2, apoE3, and apoE4 isoforms, when expressed instead of the murine apoE in a transgenic k.i. mouse model, differentially affect bone turnover, trabecular bone mass, and biomechanical stability of trabecular bone. apoE2 was associated with a higher bone turnover, with prevailing resorption over formation and consequently a lower trabecular bone mass with reduced stability as compared to apoE3 and apoE4. Conversely, apoE4 is characterized by a relatively lower bone turnover, higher bone mass, and higher biomechanical stability. Of note, the significantly lower OPG/RANKL ratio in apoE2 k.i. mice was mirrored in healthy middle-aged men homozygous for APOE ε2/ε2, who also displayed a decreased ratio of OPG/RANKL serum concentrations when compared to APOE ε3/ε3 and ε4/ε4 individuals.
The present study was initiated to gain more insight into the presumed, but controversial role of APOE genetics in bone metabolism. In the literature, numerous reports have investigated whether the human APOE ε4 allele is associated with inferior bone quality (for review, see Niemeier and colleagues10). The first report that was published specifically on this question 15 years ago31 was based on two arguments. First, the observation that vitamin K levels correlate with plasma triglyceride-rich apoE-containing lipoproteins and via this pathway could affect osteoblast biology.32 Second, the observation that apoE4 in particular is associated with other involutional diseases, such as cardiovascular and Alzheimer's disease,33, 34 on the basis of which the authors predicted a negative influence of apoE4 on bone. Their actual finding of a negative APOE ε4 gene-dose effect on BMD in postmenopausal women has subsequently triggered a series of currently more than 25 publications. These studies have focused on effects ε3 versus ε4, either of which allele is present in the majority of the general population (>90%),11 or on ε4 carriers versus noncarriers.10 Considering the data that we present here, looking for a ε4 gene-dose effect on bone traits while neglecting the presence or absence of ε2 in the respective haplotypes may have been a decade of research missing the crucial point. As such, it is possible that the ε2 allele was only another confounding parameter that was uncontrolled for in a very complex analysis which is subject to a multitude of interacting factors, including age, sex, weight, smoking, menopausal status, physical activity, medication, and baseline BMD. To our knowledge, there is only one published report that has specifically looked at bone traits in ε2 carriers.35 These authors did not find an association of either APOE allele with BMD at baseline or after adjustment for multiple confounders in early postmenopausal women. But for the purpose of their analysis, the ε2/ε2 homozygotes (n = 16) were grouped with heterozygotes ε2/ε3 (n = 301) and compared to ε3/ε3 (n = 1664) in a second group, and ε3/ε4 (n = 619) plus ε4/ε4 (n = 50) in a third group. This way of analyzing the data may have masked a potential differential effect of homozygous genotypes, in particular of the rare ε2 variant, on BMD.35
It has been clearly established that apoE regulates bone mass in mice13–15 and therefore it is very likely that apoE also contributes to the regulation of bone mass in humans. To reduce the complexity of the human situation and to circumvent the problems associated with the asymmetric allele frequency of the human APOE gene, we used a well-defined model system, developed previously by gene targeting, to replace the murine Apoe gene with the three respective human APOE alleles.18, 20, 21 These mice retain the murine Apoe regulatory sequences and have been carefully characterized to display apoE mRNA tissue distribution and expression levels comparable to wild-type mice and to each other.18–21 Thus we consider these apoE k.i. mice a valuable tool to study the influence of the human genetic APOE polymorphism on bone in vivo while being able to control for any other confounding factor that renders clinical or epidemiological studies so difficult. Theoretically, body weight could be a confounding factor in this mouse model. It has previously been described that on chow diet, total body weights of adult apoE k.i. mice display slight but nonsignificant differences between apoE2, E3, and E4 in the order of E3 > E2 > E4 (20.2 ± 1.1 versus 19.9 ± 2.6 versus 19.3 ± 2.6 g).36 Similarly, we have observed a small relative increase of body weight in 12-week-old female apoE3 (21.43 ± 0.38 g) as compared to apoE2 (20.01 ± 0.32 g) and apoE4 k.i. mice (20.51 ± 0.34 g). Although it cannot be ruled out that these differences in body weight may influence bone turnover and bone mass in this model, we consider it to be very unlikely that they are a relevant causative factor in mediating the 25% relative reduction of lumbar vertebral BV/TV in apoE2 k.i. mice as compared to the other two genotypes (Fig. 2A) or any other significant difference on bone traits that we describe here. In addition, although differences in locomotor activity between apoE3 k.i. and apoE4 k.i. mice have been described,37 it is unlikely that these small differences contribute to the observed phenotype, especially since apoE4 k.i. mice have been reported to move less and thus would be expected to have a reduced bone mass phenotype. One of the major difficulties in the attempt to reproduce the key findings of the mouse model in humans is to find cohorts large and homogenous enough to be able to include a sufficiently large number of homozygous ε2/ε2 carriers while minimizing confounding factors. We therefore selected a subgroup of individuals from a study population of healthy, middle-aged males (NPHS II cohort)12 because this cohort provided us with the advantage of ruling out the influences of skeletal growth versus old age, the influence of serious comorbidities and, most importantly, the influence of menopause. The NPHS II cohort examined includes only UK white European individuals and we have previously ruled out the possibility of significant population structure as an influence that might confound the relationship between APOE genotype and plasma traits.38 In addition, BMI and smoking status, as two further potentially confounding factors, have been controlled for and were found to be of comparable incidence within the three groups of ε2/ε2, ε3/ε3, and ε4/ε4 carriers (Table 1) and thus are highly unlikely to influence the observed differences in OPG/RANKL serum concentrations. The observation that the OPG/RANKL ratio in the ε2/ε2 men compared to ε3/ε3 and ε4/ε4 carriers is similarly decreased as in the mouse model indicates that the apoE system is likely to play an important role in human bone biology: APOE ε2 may in fact be the forgotten but most relevant variant with regard to bone traits in humans. In order to further confirm this concept, this finding needs to be reproduced in other cohorts and to be corroborated by direct measurements of bone qualities such as BMD and fracture incidence in further studies, particularly in female populations as well as in younger and older cohorts.
At present, we can only speculate about the underlying mechanisms for the profound differential effect of the human apoE isoforms on bone. One possible explanation could be differential modulation of signal transduction pathways by the three apoE isoforms in bone cells. For instance, it is possible that there is a differential effect on canonical Wnt signaling,39 platelet-derived growth factor (PDGF) signaling,40 or nitric oxide signaling,41 because all of these pathways are known to be involved in bone cell regulation and have been described to be modulated in apoE isoform-specific manner in other cell types.39–41 Another explanation includes impaired lipoprotein-associated vitamin K delivery in apoE2 k.i. mice to target cells, ie, osteoblasts, because of the reduced binding affinity of apoE2 to cell-surface lipoprotein receptors.32, 42, 43 Such a scenario would imply that there is a lower degree of carboxylation of osteoblast-derived gla-proteins, which in turn would have to contribute to a higher bone turnover and development of a lower trabecular bone mass. Currently such a hypothesis is difficult to include or rule out, because the role of carboxylation of osteocalcin and matrix gla-protein for the regulation of bone mass is still not fully understood.
In addition, it has been described recently that apoE4 k.i. mice display higher serum 25-(OH) vitamin D levels than apoE3 k.i. mice.44 This difference in vitamin D could influence the BMDD in the mineralized phase of the bone matrix and thereby contribute to the otherwise unexplained differences in lumbar vertebral stability of apoE3 k.i. and apoE4 k.i. mice in this study (Fig. 3A). The apparent disconnect between lumbar trabecular bone mass with almost equal BV/TV in apoE3 k.i. and apoE4 k.i. but concomitant significantly higher biomechanical stability of apoE4 k.i. lumbar vertebrae (Fig. 3A) is intriguing. In general, differences in biomechanical stability can be due to bone mass and bone material properties. The inorganic mineralized phase, the organic unmineralized phase, and the relative composition of mineral-to-matrix ratio each contribute to the material properties of the composite tissue.45, 46
In a first attempt to explain the discrepancy between bone mass and stability of the lumbar vertebral trabecular bone, we have focused on the mineral content and have quantified the respective distribution of the Ca content in the bone matrix of apoE3 k.i. and apoE4 k.i. mice,25–27 but we did not find differences between the mean Ca content, nor the peak and width of the Ca distribution between apoE3 and apoE4 lumbar vertebrae (Fig. 4). Thus, the genotype-specific differences in the mechanical stability of the lumbar vertebrae are more likely to be explained by differences in the organic bone matrix than by the frequency distribution of the Ca content within the bone matrix. A recently published work reports differences in collagen IV levels and other extracellular proteins between apoE3 and apoE4 k.i. mice in cerebral vascular basement membranes, which are sheets of highly specialized extracellular matrix.47 These data suggest that, in principle, the apoE alleles may also differentially affect the composition of the organic bone matrix; eg, by regulating collagen levels. At present, these intriguing questions remain open, but because they have potential clinical importance they will have to be addressed further in future studies.
We have observed previously that Apoe deficiency in mice not only affects trabecular bone mass but femur cortical architecture as well.15 In addition, numerous reports in the literature have discussed the question of whether human apoE4 was not only associated with increased incidence of vertebral fractures but extremity fractures as well.10 It is interesting that the isoform-specific differences in this study are apparent in trabecular bone, but not in cortical bone. This finding could imply that the APOE genotype in humans may predispose primarily to vertebral, but not peripheral fractures and should be kept in mind for future study designs with human cohorts.
In conclusion, the present study strongly underlines the general importance of apoE as a regulator of bone metabolism and indicates that the APOE ε2 allele is a candidate genetic risk factor for low trabecular bone mass and vertebral fractures in humans, calling for further large-scale studies in different human populations that may ultimately lead to the integration of the APOE ε2 allele into diagnostic and therapeutic algorithms either in specified subpopulations or even in the general population.
All authors state that they have no conflicts of interest.
This work was supported by the DFG grant Ni 637/2-3 and the BMBF grant ANCYLOSS (to AN), a fellowship of the Boehringer Ingelheim Stiftung (to MD), and a postdoctoral fellowship award by the European Atherosclerosis Society (to AB). BM was supported by the DFG GRK 1459. NPHS II was supported by the British Medical Research Council, the U.S. National Institutes of Health (NHLBI 33014), and Du Pont Pharma (Wilmington, DE, USA). JC and SEH are supported by the British Heart Foundation (PG08/008). JH is supported by grants from the NIH, AHAF, the Consortium for Frontotemporal Dementia Research, and the Lupe Murchison Foundation. We thank Walter Tauscher for excellent technical assistance and Joerg Heeren for critical reading of the manuscript.
Authors' roles: MD performed the mouse experiments, and helped to design the study and write the manuscript. FTB performed the histomorphometric analyses. BM and AB measured biochemical bone turnover markers. RPM performed µCT and biomechanical tests. TK performed qBEI/BMDD analyses. MA, WR, and JH were involved in the conceptual design and coordination of the study. JAC and SHE have recruited, genotyped, and maintained the NHPS II cohort and collected serum. AN designed the study, coordinated the project, analyzed all data, and wrote the manuscript. All authors read and revised the manuscript.