Skip to main content
JBMR Plus logoLink to JBMR Plus
. 2024 Jan 10;8(4):ziad011. doi: 10.1093/jbmrpl/ziad011

Sex-specific effects of Fat-1 transgene on bone material properties, size, and shape in mice

Beatriz Bermudez 1,2, Kenna C Brown 3, Ghazal Vahidi 4, Ana C Ferreira Ruble 5, Chelsea M Heveran 6, Cheryl L Ackert-Bicknell 7, Vanessa D Sherk 8,9,
PMCID: PMC10958611  PMID: 38523667

Abstract

Western diets are becoming increasingly common around the world. Western diets have high omega 6 (ω-6) and omega 3 (ω-3) fatty acids and are linked to bone loss in humans and animals. Dietary fats are not created equal; therefore, it is vital to understand the effects of specific dietary fats on bone. We aimed to determine how altering the endogenous ratios of ω-6:ω-3 fatty acids impacts bone accrual, strength, and fracture toughness. To accomplish this, we used the Fat-1 transgenic mice, which carry a gene responsible for encoding a ω-3 fatty acid desaturase that converts ω-6 to ω-3 fatty acids. Male and female Fat-1 positive mice (Fat-1) and Fat-1 negative littermates (WT) were given either a high-fat diet (HFD) or low-fat diet (LFD) at 4 wk of age for 16 wk. The Fat-1 transgene reduced fracture toughness in males. Additionally, male BMD, measured from DXA, decreased over the diet duration for HFD mice. In males, neither HFD feeding nor the presence of the Fat-1 transgene impacted cortical geometry, trabecular architecture, or whole-bone flexural properties, as detected by main group effects. In females, Fat-1-LFD mice experienced increases in BMD compared to WT-LFD mice; however, cortical area, distal femur trabecular thickness, and cortical stiffness were reduced in Fat-1 mice compared to pooled WT controls. However, reductions in stiffness were caused by a decrease in bone size and were not driven by changes in material properties. Together, these results demonstrate that the endogenous ω-6:ω-3 fatty acid ratio influences bone material properties in a sex-dependent manner. In addition, Fat-1 mediated fatty acid conversion was not able to mitigate the adverse effects of HFD on bone strength and accrual.

Keywords: fatty acids, omega-6, omega-3, fracture toughness, bone strength, bone accrual

Graphical Abstract

Graphical Abstract.

Graphical Abstract

Introduction

The relationship between bone health and fat consumption is a topic that has been of great interest in society and research. However, many unresolved questions remain surrounding the effects of specific fats on bone outcomes. Western diets, which are high in animal-based nutrients, fat, and sugar content, are becoming more common across the world and have been linked to bone loss in both animals and humans.1,2 With the increased pervasiveness of western diets, it is becoming imperative to tease out the intricacies of the effects of specific dietary fats on bone. Dietary fats are not created equal and can be subcategorized into two groups: saturated and unsaturated fats. Saturated fatty acids induce lipotoxicity in osteoblasts and osteocytes, which could lead to reductions in bone formation.3,4 In contrast, unsaturated fatty acids have more convoluted effects. Monounsaturated fatty acids show positive associations with BMD in men and women.5 Polyunsaturated fats such as omega-6 (ω-6) and omega-3 (ω-3) fatty acids have mixed impacts on bone outcomes. ω-6 fatty acids are generally associated with an increase in inflammatory markers,6 inhibition of osteoblastogenesis, and induction of adipogenic differentiation of human mesenchymal stem cells.7 In contrast, ω-3 fatty acids have anti-inflammatory effects, are associated with increased peak bone mass at the hip in young women, positively associated with BMD in women with osteopenia, reduced risk of hip fracture in men and women, and reduced bone resorption markers in men and women.8-11 The ratio of ω-6:ω-3 fatty acids may be as important, if not more important, for bone outcomes than the absolute levels of each fat class. The ω-6:ω-3 ratio is high in western diets, meaning w-6 fatty acids are abundant compared to w-3 fatty acids. Recent evidence reveals that increasing this ratio (eg, increasing ω-6 and reducing ω-3 fatty acids) lowers hip BMD in both men and women and reduces whole body and spine BMC in young male rats.11,12

Diets rich in saturated, monounsaturated, and polyunsaturated fatty acids cause rapid absorption of fatty acids into the gut and possibly increase fatty acid clearance in other tissues compared to a high carbohydrate diet.13,14 Femoral and tibial cortical and marrow compartments have a diverse fatty acid profile, including a large portion of unsaturated fatty acids.15 Osteoblasts utilize these fatty acids during mineralization16 and therefore changes in fatty acid composition could alter osteoblast function.4,16,17 These alterations could potentially reduce bone mineralization, bone accrual, bone quality, and, thus, fracture resistance.18,19 Nevertheless, it remains unclear whether different types of dietary fat have different impacts on bone outcomes. Understanding the consequences of alterations in bone accrual, bone strength, and fracture resistance with diet composition is paramount to minimizing fracture rates in humans.

A significant limitation in understanding the effects of different fats on bone is that most studies only consider fat intake from diet. The ratio of ω-6: ω-3 fatty acids available to and accessed by bone cells is likely substantially altered from that ingested as food. First, dietary fat must travel through the digestive system, eventually packaged in chylomicrons that will either transit to the bloodstream or the liver. Once in the bloodstream, the fatty acids in the chylomicrons can either be used for oxidation in tissues such as muscle, heart, and bone or be stored in adipose tissue. In the liver, the chylomicrons can be further broken down to generate endogenous fatty acids to be sent to the bloodstream for oxidation or storage.20 Second, ingested fats in diet or supplements are known to alter and be altered by the gut microbiome, influencing BMD via the factors produced by the microbiome itself.21,22 Therefore, any alterations in bone outcomes may not directly relate to the ingestion dietary composition.

In this study, we aimed to determine how altering the endogenous ratio of ω-6:ω-3 fatty acids impacts bone accrual, bone strength, and fracture toughness. To accomplish this, we utilized the Fat-1 transgenic mouse model.23,24 These mice carry the Fat-1 gene from Caenorhabditis elegans that encodes for an ω-3 fatty acid desaturase, which allows for the conversion of ω-6 to ω-3 fatty acids. The Fat-1 gene is not found in mammals, and the ubiquitous expression of this transgene in all tissues alters the ω-6:ω-3 ratio in tissues, such as bone, relative to WT controls. Previous studies indicate that Fat-1 mice, when fed a diet containing 10% safflower oil, which is high in the ω-6 polyunsaturated fatty acid linoleic acid, had reduced ω-6:ω-3 fatty acids in the femoral cortical bone compared to WT mice.25 Herein, we hypothesized that a reduction in the endogenous ω-6:ω-3 fatty acid ratio would increase bone accrual, bone strength, and fracture toughness.

Materials and Methods

Animal studies

Animal procedures were approved by the University of Colorado Anschutz Medical Campus Institutional Animal Care and Use Committee (IACUC, #00406). All original stocks of mice were purchased from The Jackson Laboratory, and experimental mice were bred in-house. WT male C57BL/6 J mice (#000664) were mated with female Fat-1 (Tg[CAG-fat-1]1Jxk) heterozygous mice (#020097). Male and female weanlings were identified by PCR genotyping at 21 d, and Fat-1 positive mice (Fat-1) and Fat-1 negative littermates (WT) were used for the study design (Figure 1A). At 4 wk of age, mice were switched from rodent chow to either a high-fat diet (HFD) with 46% corn oil (Research Diets, D12344, HFD) or AIN-76A Rodent Diet with 12% corn oil (Research Diets, D11724, low-fat diet [LFD]) for 16 wk. The end groups were WT LFD mice (males: n = 12, females: n = 12), Fat-1 LFD mice (males: n = 10, females: n = 12), WT HFD mice (males: n = 9, females: n = 10), and Fat-1 HFD mice (males: n = 9, females: n = 9).

Figure 1.

Figure 1

Study design and body composition. Animal study design (A). Four-week-old male and female mice were given either a HFD or LFD for 16 wk. Total weight was measured using a scale and body composition was measured using DXA. Total weight of each group at the end of the study for males (B). Lean weight of each group at the end of the study for males (C). Body fat percentage of each group at the end of the study for males (D). Total weight of each group at the end of the study for females (E). Lean weight of each group at the end of the study for females (F). Body fat percentage at the end of the study for females (G).

Gas chromatography–mass spectrometry

Fatty acid analysis was performed on tibia and humeri from Fat-1 and WT controls. Bones were harvested, cleaned of muscle, placed in liquid nitrogen, and pulverized using pestle and mortar. Bone marrow samples were then placed in 6875 Freezer/Mill High Capacity Cryogenic Grinder to obtain small bone particulates. Samples were placed in a 1:2 water to methanol (MeOH) solution. Samples were taken to the Nutrition Obesity Research Center Lipidomics Core Laboratory for total fatty acid analysis. Bone homogenate (1 mg) was saponified with 0.5 N NH4OH in 50% MeOH for 2 h at 37°C, mixed with a mixture of stable isotope-labeled fatty acid standards [d2] myristic, [13C4] palmitic, [d4] stearic, [d8] arachidonic and [d5] docosahexaenoic acids, after saponification samples were acidified and extracted using isooctane. Samples were then dried and derivatized with pentafluorobenzyl bromine in N,N-diisopropylethylamine as described previously.26 Analysis of the samples was performed by negative ion chemical ionization gas chromatography–mass spectrometry (GC/MS) on a Finnigan DSQ GC/MS system (Thermo Finnigan). The mass spectrometer was operated in the negative ion chemical ionization mode using methane as reagent gas. Data were acquired by selected ion monitoring of the following fatty acids: lauric (m/z 199), myristic (m/z 227), palmitic (m/z 255), stearic (m/z 283), linolenic (m/z 277), linoleic (m/z 279), oleic (m/z 281), eicosapentaenoic (m/z 301), arachidonic (m/z 303), and docosahexaenoic acid (m/z 327). The ions at m/z 229, 259, 287, 311, and 332 were monitored for [d2] myristic, [13C4] palmitic, [d4] stearic, [d8] arachidonic and [d5] docosahexaenoic acids, respectively. Concentration was determined using stable isotope dilution with standard curves generated for each free fatty acid. Data are expressed in nanogram of fatty acid per milligram of bone homogenate. The total ω-6:ω-3 ratio is the sum of ω-6 divided by the sum of ω-3 fatty acids, in other words (linoleic acid + arachidonic acid)/ (gamma-linolenic acid + alpha-linolenic acid + eicosapentaenoic acid + docosahexaenoic acid).

Dual-energy X-ray absorptiometry

The Faxitron DXA system by Hologic was used to measure body composition, areal BMD (g/cm2), and areal BMC (g) after 4, 8, 12, and 16 wk of diet. The region of interest included the entire body minus the skull. The coefficient of variation for BMC is 0.93% and 0.75% for BMD.

Micro-computed tomography

The trabecular bone architecture of the distal metaphysis and cortical bone morphology of the mid-diaphysis were assessed for the left femurs using a μCT50 instrument (SCANCO Medical). The bones were scanned in 70% ethanol and scans were acquired using a 10 μm3 voxel size, 70 kVP, 200 μA, 500 ms integration time, and were subjected to Gaussian filtration and segmentation. Image acquisition and analysis were done as previously described.27 Trabecular bone microarchitecture was evaluated at the region between 7% and 12% of the femoral length proximal to the distal growth plate. A threshold of 550 mgHA/cm3 was used to segment bone from soft tissue. Trabecular microarchitecture was analyzed using the standard trabecular bone morphology script in the Scanco Evaluation Program. The following architectural parameters were measured: trabecular bone volume fraction (BV/TV, %), trabecular thickness (Tb.Th, mm), and trabecular separation (Tb.Sp, mm). Cortical bone was assessed in transverse slices in a region between the mid-diaphysis and 12% of the length of the femoral bone above the growth plate. Cortical bone was segmented using a fixed threshold of 700 mgHA/cm3. The following variables were computed: total cross-sectional area (bone + medullary area) (Tt.Ar, mm2), cortical bone area (Ct.Ar, mm2), medullary area (Ma.Ar, mm2), bone area fraction (Ct.Ar/Tt.Ar, %), as well as maximum, minimum, and polar moments of inertia (Imax, Imin, and PMOI, mm4), which describe the shape/distribution of cortical bone (larger values indicate a higher bending strength).

Whole bone flexural mechanical testing

Following micro-computed tomography (μCT), left femurs were thawed and tested by three-point bending to measure whole bone flexural properties. Each femur was placed anterior side down on 2 mm diameter supports, spaced evenly from mid-diaphysis at ~50% of femur length. Loading was applied at the midspan via a 2 mm diameter cylindrical nose and was performed to failure at 0.1 mm/s, with force and displacement data acquired at 10 Hz (TA Instruments, ElectroForce). Structural strength and maximum deflection were defined at the maximum applied bending moment to account for differences in femoral length. All discrete values of measured deflection were scaled to a standard reference length in the ratio (Lref/L)3 per standard bending formula.28 Bending stiffness was calculated as the linear region of the force–deflection curve. Femur length was measured before μCT scanning using calipers. Elastic modulus was calculated using the bending stiffness, femur length, and moment of inertia, as previously described.28,29 Tissue bone strength was calculated using the maximum applied bending moment, moment of inertia, and the distance from the neutral axis to the bone surface, as previously described.28,29

Fracture toughness testing

Fracture toughness was quantified with notched three-point bending following methods described previously.30 The notch was created on the posterior aspect of the midshaft femur to a target depth of 0.3× anterior–posterior width using a custom notching apparatus. Femurs were hydrated using PBS and were loaded on the anterior aspect until fracture at a rate of 0.001 mm/s (1 kN load cell Instron 5543). The distal half of the femur was air-dried and then imaged with variable pressure SEM (20 Pa, 15 kV; Zeiss SUPRA 55VP) to obtain the initial notch angle and cross-sectional geometry. Notches that were >30 degrees off the lateral-medial axis were discarded from the analysis. The critical stress intensity factor (Kc) was calculated for two different criteria, first at crack initiation (Kc, yield) and then at the maximum load (Kc, max) using the initial notch angle and the yield and maximum loads, respectively.30 The yield load was calculated using the secant method where the secant line was considered to be 90% of the measured stiffness from the linear elastic portion of the load–displacement curve.

Statistical analysis

Data were analyzed with SAS version 9.4. To compare the individual (main effects) and combined (interaction) effects of genotype and diet on bone accrual, bone morphometry, and bone mechanical and material properties, a two-way ANOVA was used. Main effects (genotype and diet) were explored when the interaction effects were not significant. Significant interactions between genotype and diet were followed up with a Tukey–Kramer post hoc test. Model residuals were checked for normality and homoscedasticity to ensure the ANOVA assumptions were valid. Outliers were removed if the value was outside the range of the mean ± three SD.

Results

This study aimed to test how altering the endogenous ratios of ω-6:ω-3 fatty acids impacts bone accrual, strength, and fracture toughness. The effects of ω-6:ω-3 fatty acids, independent of diet were evaluated by comparing outcomes in Fat-1 mice and pooled WT controls. We assessed the effect of diet, independent of genotype, by comparing outcomes in HFD mice and pooled LFD mice. The main effects comparisons are not biologically relevant, and therefore direct comparisons between groups were made as well, only statistically significant outcomes are outlined in the results.

Total fatty acid analysis in bone

To verify the functionality of the Fat-1 transgene, total fatty acids of tibiae and humeri were analyzed after the 16 wk of diet. Four separate analyses were run to compare WT and Fat-1 mice in each sex and for each diet. In males, there was a significant increase in ω-3 fatty acids in mice fed both a HFD and LFD when compared to WT controls (Table 1). The total ω-6:ω-3 fatty acid ratio was therefore reduced in Fat-1 mice. The same was observed in females (Table 2).

Table 1.

Total fatty acid analysis in male mice. Total lipids were extracted, methylated, and subjected to analysis using gas chromatography-mass spectrometry. Lipids were extracted from tibial and humeri cortical bone and bone marrow. Units are in nanogram of fatty acid per milligram of bone homogenate. The total ω-6:ω-3 ratio is the sum of ω-6 divided by the sum of ω-3 fatty acids, in other words (linoleic acid + arachidonic acid)/ (gamma-linolenic acid + alpha-linolenic acid + eicosapentaenoic acid + docosahexaenoic acid).

HFD LFD
WT Fat-1 WT Fat-1
Common name Notion Mean ± SEM Mean ± SEM P-value Mean ± SEM Mean ± SEM P-value
Gamma-linolenic acid 18:3 g (ω-3) 0.228 ± 0.064 0.205 ± 0.027 .753 0.233 ± 0.020 0.245 ± 0.012 .613
Alpha-linolenic acid 18:3 a (ω-3) 0.768 ± 0.201 0.864 ± 0.080 .673 0.383 ± 0.066 1.622 ± 0.570 .095
Eicosapentaenoic acid 20:5 (ω-3) 5.330 ± 2.754 10.037 ± 1.235 .136 1.308 ± 0.456 22.277 ± 4.460 .012
Docosahexaenoic acid 22:6 (ω-3) 59.418 ± 16.376 110.963 ± 23.285 .108 52.827 ± 8.760 172.226 ± 38.232 .034
Linoleic acid 18:2 (ω-6) 92.532 ± 22.792 93.668 ± 9.343 .835 54.349 ± 5.270 95.573 ± 26.665 .199
Arachidonic acid 20:4 (ω-6) 134.192 ± 47.832 89.694 ± 15.784 .403 236.199 ± 35.220 88.181 ± 15.336 .022
Total Ω-6 226.724 ± 64.687 183.363 ± 22.404 .544 290.548 ± 40.357 183.754 ± 41.096 .06
Total Ω-3 64.679 ± 17.402 122.068 ± 24.549 .093 54.751 ± 9.175 196.370 ± 42.831 .028
ω-6:ω-3 4.203 ± 0.796 1.612 ± 0.165 .03 5.438 ± 0.430 0.959 ± 0.101 < .001

HFD, high-fat diet; LFD, low-fat diet

Table 2.

Total fatty acid analysis in female mice. Total lipids were extracted, methylated, and subjected to analysis using gas chromatography-mass spectrometry. Lipids were extracted from tibial and humeri cortical bone and bone marrow. Units are in nanogram of fatty acid per milligram of bone homogenate. The total ω-6:ω-3 ratio is the sum of ω-6 divided by the sum of ω-3 fatty acids, in other words (linoleic acid + arachidonic acid)/ (gamma-linolenic acid + alpha-linolenic acid + eicosapentaenoic acid + docosahexaenoic acid).

HFD LFD
WT Fat-1 WT Fat-1
Common name Notion Mean ± SEM Mean ± SEM Mean ± SEM Mean ± SEM
Gamma-linolenic acid 18:3 g (ω-3) 0.230 ± 0.013 0.258 ± 0.03 P = .787 0.178 ± 0.018 0.230 ± 0.032 P = .195
Alpha-linolenic acid 18:3a (ω-3) 0.658 ± 0.135 0.959 ± 0.090 P = .101 0.423 ± 0.087 0.796 ± 0.118 P = .035
Eicosapentaenoic acid 20:5 (ω-3) 0.754 ± 0.076 10.169 ± 2.353 P = .016 2.979 ± 2.368 20.649 ± 3.019 P = .012
Docosahexaenoic acid 22:6 (ω-3) 38.165 ± 15.33 98.247 ± 20.376 P = .06 49.440 ± 11.182 168.123 ± 15.333 P = .012
Linoleic acid 18:2 (ω-6) 98.841 ± 16.853 108.340 ± 9.966 P = .641 47.609 ± 4.067 62.771 ± 6.642 P = .087
Arachidonic acid 20:4 (ω-6) 113.823 ± 15.781 124.494 ± 21.692 P = .701 135.897 ± 21.906 95.737 ± 5.610 P = .144
Total Ω-6 212.671 ± 22.581 232.834 ± 26.135 P = .576 183.506 ± 21.414 158.508 ± 10.212 P = .323
Total Ω-3 39.808 ± 6.187 109.633 ± 22.673 P = .035 53.019 ± 13.618 189.798 ± 17.085 P < .001
ω-6:ω-3 5.954 ± 1.256 2.452 ± 0.501 P = .037 4.327 ± 0.856 0.851 ± 0.064 P = .022

HFD, high-fat diet; LFD, low-fat diet

Body composition and BMD changes

After 16 wk of diet (Figure 1A), the final body weight was lower in male Fat-1 mice when compared to WT mice, as detected by main group effects (Figure 1B). Male mice on a HFD had increased body weights compared to those on a LFD, as detected by main group effects (Figure 1B). Lean mass at the end of the study was lower in Fat-1 male mice when compared to WT controls, as detected by main group effects (Figure 1C). The final body fat percentage was increased in male mice on a HFD when compared to mice on a LFD, as detected by main group effects (Figure 1D). In females, at the end of the 16 wk on a diet, there was an increase in final body weight in mice on a HFD compared to mice on a LFD, as detected by main group effects (Figure 1E). Lean mass was increased in HFD fed mice compared to mice on a LFD (main group effects) (Figure 1F). The final body fat percentage was highest in mice on a HFD in females when compared to mice on a LFD, as detected by main group effects (Figure 1G) (Supplementary Figure 2).

The final BMC in males was highest in mice fed a HFD compared to mice on a LFD, as detected by main group effects (Figure 2A). However, this was not accompanied by increased BMD (Figure 2B). The bone area was highest in male mice on a HFD when compared to mice on a LFD, as detected by main group effects (Figure 2C). Over the course of the study, HFD increased BMC accrual when compared to mice on a LFD (main group effects) (Figure 2D). However, a HFD decreased BMD accrual when compared to LFD fed mice (main group effects) (Figure 2E). In females, BMC at the end of the 16 wk was highest in mice fed a HFD when compared to LFD fed mice (main group effects) (Figure 3A). BMD was increased in Fat-1-LFD mice when compared to WT-LFD mice (Figure 3B). Bone area was not altered in females (Figure 3C). It is important to note that HFD feeding did not alter BMC accrual (Figure 3D) but did reduce BMD accrual in females when compared to LFD fed mice (main group effects) (Figure 3E). BMC and BMD for each timepoint and different regions of interest can be found in Supplementary Figures 37.

Figure 2.

Figure 2

Whole body BMC and density accrual in male mice, assessed using DXA. Bone mass accrual was measured with DXA. BMC at the end of the study (A). BMD at the end of the study (B). Bone area at the end of the study (C). BMC accrual over the course of the study (D). BMD accrual over the course of the study (E).

Figure 3.

Figure 3

Whole body BMC and density accrual in female mice, assessed using DXA. Bone mass accrual was measured with DXA. BMC at the end of the study (A). BMD at the end of the study (B). Bone area at the end of the study (C). BMC accrual over the course of the study (D). BMD accrual over the course of the study (E).

Cortical geometry

Cortical geometry in males was not altered between groups, except for femur length (Figure 4A–H). The femoral length was suppressed in WT-HFD mice, but this was rescued by the introduction of the Fat-1 transgene (Figure 4E). In females, HFD feeding increased the Tt.Ar of the femur at the mid-diaphysis when compared to mice fed LFD (main group effects) (Figure 5A). Cortical bone cross-sectional area (Ct.Ar) was reduced in Fat-1-LFD and WT-LFD mice when compared to WT-HFD (Figure 5B). Marrow area (Ma.Ar) was increased in mice on a HFD when compared to LFD fed mice (main group effects) (Figure 5C). The ratio of Ct.Ar/Tt.Ar was lower in Fat-1 female mice when compared to WT controls (main group effects) (Figure 5D). Mice on a HFD had reductions in Ct.Ar/Tt.Ar when compared to LFD mice, as detected by main group effects (Figure 5D). The femoral length was highest in mice fed a HFD when compared to LFD fed mice (main group effects) (Figure 5E). The PMOI was reduced in the female Fat-1-LFD and WT-LFD mice when compared to WT-HFD mice (Figure 5F). Mice on a HFD had increased maximum (Imax) (Figure 5G) and minimum (Imin) (Figure 5H) when compared to LFD fed mice (main group effects).

Figure 4.

Figure 4

Cortical geometry at the femoral midshaft in male mice, assessed using μCT. All outcomes were measured at the end of the study. Tt.Ar of the femoral midshaft (A). Ct.Ar of the femoral midshaft (B). Ma.Ar of the femoral midshaft (C). Cortical area fraction (Ct.Ar/Tt.Ar) of the femoral midshaft (D). Femoral length (E). PMOI of the femoral midshaft (F). Maximum moment of inertia (Imax) of the femoral midshaft (G) and minimum moment of inertia (Imin) of the femoral midshaft (H).

Figure 5.

Figure 5

Cortical geometry at the femoral midshaft in female mice, assessed using μCT. All outcomes were measured at the end of the study. Tt.Ar of the femoral midshaft (A). Ct.Ar of the femoral midshaft (B). Ma.Ar of the femoral midshaft (C). Cortical area fraction (Ct.Ar/Tt.Ar) of the femoral midshaft (D). Femoral length (E). PMOI of the femoral midshaft (F). Maximum moment of inertia (Imax) of the femoral midshaft (G) and minimum moment of inertia (Imin) of the femoral midshaft (H).

Trabecular architecture of the distal femur

At the end of the 16 wk on diet, male mice did not experience any changes in trabecular architecture of the distal femur (Figure 6A–D). However, females on a HFD experienced increases in total bone volume ratio (BV/TV) when compared to mice on a LFD (main group effects) (Figure 6E). Trabecular number (Tb.N) was not altered between groups (Figure 6F). Tb.Th was reduced in female Fat-1 mice when compared to WT controls (main group effects) (Figure 6G). Tb.Th was increased in mice on a HFD compared to mice on a LFD, as detected by main group effects (Figure 6F). Trabecular spacing (Tb.Sp) was reduced in female Fat-1 mice when compared to the WT controls (main group effects) (Figure 6H).

Figure 6.

Figure 6

Trabecular architecture at the distal femur, assessed using μCT. All outcomes were measured at the end of the study. BV/TV of the distal femur for males (A). Tb.N of the distal femur for males (B). Tb.Th of the distal femur males (C). Tb.Sp of the distal femur for males (D). BV/TV of the distal femur for females (E). Tb.N the distal femur for females (F). Tb.Th of the distal femur for females (G). Tb.Sp of the distal femur for females (H).

Mechanical and material properties

Three-point bending assessed the mechanical properties of the femurs after 16 wk on diet. In males, stiffness, maximum force, and fracture force were not different between groups (Figure 7A–C). In females, stiffness was reduced in Fat-1 compared to WT controls (main group effects) and increased HFD fed mice compared to LFD fed mice (main group effects) (Figure 7D). Maximum force was higher in female mice fed a HFD when compared to LFD fed mice (main group effects) (Figure 7E). Fracture force was not different among groups in female mice (Figure 7F).

Figure 7.

Figure 7

Mechanical properties of the femur, assessed using traditional three-point bending. All outcomes were measured at the end of the study. Stiffness for males (A). Maximum force required for post-yield displacement in males (B). Fracture force for males (C). Stiffness for females (D). Maximum force required for post-yield displacement for females (E). Fracture force for females (F).

Material properties were estimated using traditional and notched three-point bending after 16 wk on diet. In males, modulus and ultimate strength were not different among groups (Figure 8A and B). Fracture toughness estimated at crack initiation (Kcyield) was reduced in Fat-1 male mice compared to WT controls and reduced in mice on a HFD compared to LFD fed mice (main group effects) (Figure 8C). Fracture toughness measured at the maximum load before failure (Kcmax) was not different among groups in males (Figure 8D). In females, the modulus was not altered among groups (Figure 8E). However, ultimate strength (ie, apparent strength) was increased in female mice on a HFD when compared to LFD fed mice, as detected by main group effects (Figure 8F). Kcyield (Figure 8G) and Kcmax (Figure 8H) were not different among groups in females.

Figure 8.

Figure 8

Material properties of the femur, assessed using traditional and notched three-point bending. All outcomes were measured at the end of the study. Bone tissue modulus for males (A). Ultimate strength for males (B). Fracture toughness at crack initiation for males (C). Fracture toughness at stable-crack propagation for males (D). Bone tissue modulus for females (E). Ultimate strength for females (F). Fracture toughness at crack initiation for females (G). Fracture toughness at stable-crack propagation for females (H).

Discussion

Countries around the world continue to adopt a western diet that is known to have a high ω-6:ω-3 ratio and high levels of these fatty acids.6 Consumption of a western diet has been linked to an increased risk of obesity31,32 and inflammatory diseases.6 Additionally, increases in dietary ω-6 and ω-3 fatty acids are associated with reduced hip BMD in women.33 Work in this area has strongly suggested that the overconsumption of a western diet harms the body and, more specifically, bone.1,2 However, it remains unknown whether the available ω-6 and ω-3 fatty acids and their relative amounts influence bone accrual and bone material properties. In this study, we aimed to test whether changes in the absolute amounts of fatty acid availability to bone cells altered bone accrual, strength, and fracture toughness. This was accomplished by feeding mice either a HFD or a LFD. In conjunction, we altered the endogenous ratio of ω-6:ω-3 fatty acids available to the bone by leveraging the Fat-1 transgenic mouse model, which has previously been shown to have altered fatty acid profiles in bone.25

Our primary finding was that fracture toughness was reduced in Fat-1 male mice compared to WT controls, and in the male mice fed a HFD compared to LFD fed mice (main group effects). However, this was not accompanied by reductions in other components of fracture resistance, including whole bone strength (ie, maximum load) or apparent strength. These findings suggest that the changes in endogenous ω-6:ω-3 fatty acid ratio are not able to override the negative effects of a HFD with regards to overall bone fracture resistance.

Optimizing peak bone mass during growth is critical to reducing the risk of osteoporosis in older age. However, genetics, environment, physical activity, and diet can all influence peak bone mass.34,35 Studies have found mixed results on whether a HFD increases peak bone mass and strength in rodents,36-38 and peak bone mass in mice is generally considered to be achieved at approximately 16 wk of age.39 This study looked at the effects of dietary fat intake and the endogenous ratio of ω-6:ω-3 fatty acids on bone accrual in growing female and male mice. This was done in a period before they reached peak bone mass and extended into the early adulthood phase. We found that BMD was not altered in males. In females, the Fat-1 transgene increased BMD at the end of the study compared to WT controls, as detected by main group effects. However, at this time point, the Fat-1 transgene did not have a significant impact on bone accrual in males and females (Figures 2 and 3) that was sustained into early adulthood. Evidence shows that osteoblasts actively differentiating from mesenchymal stem cells heavily rely on fatty acid uptake during the early stages of differentiation.16 Whether the transgene has an impact on osteoblast differentiation that would lead to a change in bone accrual is unknown, and further studies are required to investigate this.

At 16 wk, the weight separation between Fat-1 HFD and WT HFD males became significant (Supplementary Figure 1). If the study had been carried out further, this separation could have become more pronounced,40 and there may have been a clear alteration in mesenchymal stem cell differentiation to adipocytes vs osteoblast due to the change in endogenous fatty acids.7 We hypothesize that over time, this would have deleterious impacts on bone accrual, which may or may not be accompanied by changes in bone resorption. As BMD is a function of both formation and resorption, understanding the impact of changing this fatty acid ratio on both osteoblast and osteoclast function should be explored.

Our findings stand in contrast to others that have found that an increase in endogenous ω-3 fatty acids protects Fat-1 mice against ovariectomy-induced bone loss when compared to WT mice.41,42 However, this is primarily an osteoclast-mediated phenotype.42 Furthermore, these studies utilized diets containing 10% corn oil-based fats, making it difficult to compare these results to our study directly since our diets have 46% (HFD) and 12% (LFD) corn oil composition. Zhan et al. found that a dietary supplement of Antarctic krill oil (lower ω-6:ω-3) improved BMD, mineral apposition rate, and trabecular structure in ovariectomized mice when compared to mice fed a diet supplemented with arachidonic acid.43 The reduced ω-6:ω-3 fatty acids in Antarctic krill oil was from an increase in ω-3 fatty acids, which regulated osteoclastogenesis via the NF-кB signaling pathway.43 The timing of diet introduction must also be considered, as alterations in the ω-6:ω-3 fatty acid ratio may be primarily beneficial only after skeletal maturity, providing protection against age-related decline. Furthermore, this study was not designed to explore the possibility that the ω-6:ω-3 ratio may have a role during fetal growth and lactation, as embryonic stem cell programming could be influenced by the altered availability of fatty acids. Further studies are required to understand if age influences the effects of fatty acids on bone accrual.

As with bone accrual, longitudinal growth may be impacted by genetics, diet, and environment. Existing studies with a HFD show no effect or an increase in femur length with a HFD in mice.44,45 In male mice, we observed that a HFD suppressed femoral growth in the WT animals, but this effect (main group effect) was rescued by the introduction of the Fat-1 transgene. The reduction in ω-6:ω-3 fatty acids may be playing a role, as previous studies found that a decrease in the availability of lipids in the bone microenvironment promotes skeletal progenitor cell differentiation to chondrocytes vs osteoblasts.46 The Fat-1 mice may have an advantageous effect, but more studies are required to better understand how types of fatty acids alter skeletal progenitor cell differentiation and how this effect manifests in the growth plate. It is also curious that this effect on long bone growth was not observed in the females.

This study demonstrates that although bone accrual is not affected by the Fat-1 transgene, several other aspects related to bone quality are impacted, albeit in a sex-dependent manner. For males, cortical and trabecular architecture outcomes were not independently altered by genotype or diet throughout the study. For females, we found that WT-HFD mice had an increased Ct.Ar, but this cortical increase was suppressed by the introduction of the Fat-1 transgene. As expected, this translated to changes in predicted bone strength in torsion (PMOI), as this is a calculated value derived from geometry and size. However, the alterations in Ct.Ar and PMOI in phenotypes could be partially attributed to changes in final body weight, as the WT mice were heavier than Fat-1 mice (main group effect). Additionally, Fat-1 females exhibited a reduction in Tb.Th and increases in Tb.Sp. These results disagree in some aspects with prior work with the Fat-1 mouse model, including increases in cortical stiffness in Fat-1 mice on a normal chow diet.38 However, the study design and the diet used were dissimilar to our study and may explain the differences in results. Also, osteoclast activity is reduced in Fat-1 ovariectomized and sham mice.42 However, it is unknown if reduced osteoclast activity is occurring in the Fat-1 mice in this study since it was not measured. Reduced osteoclast activity may play a role in the quantity and quality of bone turnover occurring in trabecular bone. This may explain why there is a reduction in Tb.Th, but further studies are required.

Bone strength is often used as an adequate predictor of fracture risk and therefore helps inform existing data on how the mechanical behavior of bone is altered in varying conditions. Studies have reported that supplementation of polyunsaturated fatty acids has led to increases in bone strength.47,48 In males, mechanical properties were not altered among groups. In females, the Fat-1 transgene reduced cortical stiffness, and a HFD increased both cortical stiffness and maximum force (main group effects). However, the reductions in mechanical properties associated with the Fat-1 transgene in females are attributed to increases in Ct.Ar and PMOI. The relationship between whole bone strength and section modulus in females is similar between genotypes, but diet affects the linear relationship between strength and geometry (Supplementary Figure 8). This indicates that alterations in bone strength are not explained by geometry differences. Section modulus is a geometric property and therefore the unaltered whole bone strength in the Fat-1 transgene further supports that changes in bone strength are explained partly by geometry.

Material properties were estimated to better understand tissue level changes throughout the study. In females, ultimate strength (ie, tissue apparent strength) was increased in mice on a HFD (main group effect), but we did not observe a genotype effect. In males, fracture toughness in Fat-1 mice and mice on a HFD is reduced when compared to WT controls and LFD fed mice (main group effects), respectively, and suggests that tissue-scale bone properties important to resist crack propagation are degraded. This is in agreement with previous data that has found that a HFD reduced fracture toughness in older (15-wk-old) mice compared to mice fed a LFD.36 However, our results disagree with studies that observed no changes in fracture toughness in Wistar rats on a HFD.49 It is unclear why the Fat-1 transgene reduces fracture toughness, but it is possible that collagen or mineral properties were altered. Sex-specific differences are not uncommon for bone phenotypes in mice,50 and this represents an interesting direction for future work.

There were several limitations in this study, some of which have been noted above. To begin, no randomization occurred when mice were switched to a HFD or LFD. This was due to diet shortages at the beginning of the coronavirus disease (COVID-19) pandemic, and therefore, the first cohorts were fed a HFD and LFD with 3–6 mo periods in between. After this time period, there was a more even switch off in diet randomization between later cohorts. Sample processing was still done in large batches to reduce the batch effect for tissue analysis. We did not record food intake, although previous studies have found that there is a decrease in energy intake in Fat-1 mice compared to WT controls after 5 d of exposure to a high-fat, high-sucrose diet.40 We did not quantify blood glucose or circulating lipids, as mice were not fasted during harvest. Lastly, we did not perform histological analysis to determine whether there were any changes in osteoblast and osteoclast activity that could better inform our results.

Conclusion

Our results suggest that a reduction in ω-6:ω-3 fatty acids influences bone strength and material properties in a unique way that is dependent on sex. Our results indicate that reducing ω-6:ω-3 fatty acids may not be beneficial in males, but further studies are required to understand the cellular mechanisms.

Supplementary Material

S1_Weight_Trajectories_ziad011
S2_Body_Comp_Trajectories_ziad011
S3_WB_BMC_and_BMD_trajectories_ziad011
S4_Femur_BMC_and_BMD_ziad011
S5_Femur_BMC_and_BMD_trajectories_ziad011
S6_Spine_BMC_and_BMD_ziad011
S7_Spine_BMC_and_BMD_trajectories_ziad011
S8_The_relationship_between_whole_bone_strength_and_section_modulus_ziad011
fat-1_MS_supporting_info_ziad011

Acknowledgments

The authors would like to thank the technical staff of the Colorado Program for Musculoskeletal Research, Anatomic Imaging, and Mechanical Testing Core for their assistance. This article was prepared while Vanessa Sherk, PhD was employed at the University of Colorado. The opinions expressed in this article are the authors’ own and do not reflect the view of the National Institutes of Health, the Department of Health and Human Services, or the United States government.

Contributor Information

Beatriz Bermudez, Department of Mechanical Engineering, University of Colorado Denver, Denver, CO 80204, United States; Department of Orthopedics, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, United States.

Kenna C Brown, Department of Mechanical Engineering, Montana State University, Bozeman, MT 59717, United States.

Ghazal Vahidi, Department of Mechanical Engineering, Montana State University, Bozeman, MT 59717, United States.

Ana C Ferreira Ruble, Department of Orthopedics, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, United States.

Chelsea M Heveran, Department of Mechanical Engineering, Montana State University, Bozeman, MT 59717, United States.

Cheryl L Ackert-Bicknell, Department of Orthopedics, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, United States.

Vanessa D Sherk, Department of Orthopedics, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, United States; Center for Scientific Review, National Institutes of Health, Bethesda, MD 20892, United States.

Author contributions

Beatriz Bermudez (Conceptualization, Data curation, Formal analysis, Investigation, Project administration, Writing—original draft, Writing—review and editing), Kenna Brown (Data curation, Formal analysis, Writing—review and editing), Ghazal Vahidi (Formal analysis, Writing—review and editing), Ana C.F. Ruble (Conceptualization, Data curation, Formal analysis, Methodology, Writing— review and editing), Chelsea Heveran (Funding acquisition, Methodology, Resources, Supervision, Validation, Writing—review and editing), Cheryl L. Ackert-Bicknell (Funding acquisition, Supervision, Writing— review and editing), and Vanessa Sherk (Conceptualization, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Writing—review and editing)

Funding

This work was supported by the following grants from the National Institutes of Health (K12 TR002534) and National Science Foundation (NSF CMMI-2120239, NSF CMMI-2120230).

Conflicts of interest

None declared.

Data availability

Investigators interested in collaboration with data or with questions, can email VSD and CLAB at vanessa.sherk@nih.gov and cheryl.ackert-bicknell@cuanschutz.edu.

Human and animal rights

Animal procedures were approved by the University of Colorado Anschutz Medical Campus Institutional Animal Care and Use Committee.

References

  • 1. Aslam MN, Jepsen KJ, Khoury B, Graf KH, Varani J. Bone structure and function in male C57BL/6 mice: effects of a high-fat western-style diet with or without trace minerals. Bone Rep. 2016;5:141–149. 10.1016/j.bonr.2016.05.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2. Varley I, James LJ, Willis SA, King JA, Clayton DJ. One week of high-fat overfeeding alters bone metabolism in healthy males: a pilot study. Nutrition. 2022;96:111589. 10.1016/j.nut.2022.111589 [DOI] [PubMed] [Google Scholar]
  • 3. Al Saedi A, Bermeo S, Plotkin L, Myers DE, Duque G. Mechanisms of palmitate-induced lipotoxicity in osteocytes. Bone. 2019;127:353–359. 10.1016/j.bone.2019.06.016 [DOI] [PubMed] [Google Scholar]
  • 4. Al Saedi A, AG C, EM D, Hayes A, Duque G. Rapamycin affects palmitate-induced lipotoxicity in osteoblasts by modulating apoptosis and autophagy. J Gerontol A Biol Sci Med Sci. 2020;75(1):58–63. 10.1093/gerona/glz149 [DOI] [PubMed] [Google Scholar]
  • 5. Trichopoulou A, Georgiou E, Bassiakos Y, et al. Energy intake and monounsaturated fat in relation to bone mineral density among women and men in Greece. Prev Med. 1997;26(3):395–400. 10.1006/pmed.1997.0160 [DOI] [PubMed] [Google Scholar]
  • 6. Simopoulos AP. Evolutionary aspects of diet, the omega-6/omega-3 ratio and genetic variation: nutritional implications for chronic diseases. Biomed Pharmacother. 2006;60(9):502–507. 10.1016/j.biopha.2006.07.080 [DOI] [PubMed] [Google Scholar]
  • 7. Casado-Diaz A, Santiago-Mora R, Dorado G, Quesada-Gomez JM. The omega-6 arachidonic fatty acid, but not the omega-3 fatty acids, inhibits osteoblastogenesis and induces adipogenesis of human mesenchymal stem cells: potential implication in osteoporosis. Osteoporos Int. 2013;24(5):1647–1661. 10.1007/s00198-012-2138-z [DOI] [PubMed] [Google Scholar]
  • 8. Kuroda T, Ohta H, Onoe Y, Tsugawa N, Shiraki M. Intake of omega-3 fatty acids contributes to bone mineral density at the hip in a younger Japanese female population. Osteoporos Int. 2017;28(10):2887–2891. 10.1007/s00198-017-4128-7 [DOI] [PubMed] [Google Scholar]
  • 9. Lavado-Garcia J, Roncero-Martin R, Moran JM, et al. Long-chain omega-3 polyunsaturated fatty acid dietary intake is positively associated with bone mineral density in normal and osteopenic Spanish women. PLoS One. 2018;13(1):e0190539. 10.1371/journal.pone.0190539 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10. Farina EK, Kiel DP, Roubenoff R, Schaefer EJ, Cupples LA, Tucker KL. Protective effects of fish intake and interactive effects of long-chain polyunsaturated fatty acid intakes on hip bone mineral density in older adults: the Framingham osteoporosis study. Am J Clin Nutr. 2011;93(5):1142–1151. 10.3945/ajcn.110.005926 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11. Griel AE, Kris-Etherton PM, Hilpert KF, Zhao G, West SG, Corwin RL. An increase in dietary n-3 fatty acids decreases a marker of bone resorption in humans. Nutr J. 2007;6(1):2. 10.1186/1475-2891-6-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12. Costa CA, Carlos AS, Gonzalez Gde P, et al. Diet containing low n-6/n-3 polyunsaturated fatty acids ratio, provided by canola oil, alters body composition and bone quality in young rats. Eur J Nutr. 2012;51(2):191–198. 10.1007/s00394-011-0206-3 [DOI] [PubMed] [Google Scholar]
  • 13. Jackman MR, Kramer RE, MacLean PS, Bessesen DH. Trafficking of dietary fat in obesity-prone and obesity-resistant rats. Am J Physiol Endocrinol Metab. 2006;291(5):E1083–E1091. 10.1152/ajpendo.00159.2006 [DOI] [PubMed] [Google Scholar]
  • 14. Jackman MR, Steig A, Higgins JA, et al. Weight regain after sustained weight reduction is accompanied by suppressed oxidation of dietary fat and adipocyte hyperplasia. Am J Physiol Regul Integr Comp Physiol. 2008;294(4):R1117–R1129. 10.1152/ajpregu.00808.2007 [DOI] [PubMed] [Google Scholar]
  • 15. Bartelt A, Koehne T, Todter K, et al. Quantification of bone fatty acid metabolism and its regulation by adipocyte lipoprotein lipase. Int J Mol Sci. 2017;18(6):1264. 10.3390/ijms18061264 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16. Rendina-Ruedy E, Guntur AR, Rosen CJ. Intracellular lipid droplets support osteoblast function. Adipocyte. 2017;6(3):250–258. 10.1080/21623945.2017.1356505 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17. Al Saedi A, Myers DE, Stupka N, Duque G. 1,25(OH)2D3 ameliorates palmitate-induced lipotoxicity in human primary osteoblasts leading to improved viability and function. Bone. 2020;141:115672. 10.1016/j.bone.2020.115672 [DOI] [PubMed] [Google Scholar]
  • 18. Willett TL, Dapaah DY, Uppuganti S, Granke M, Nyman JS. Bone collagen network integrity and transverse fracture toughness of human cortical bone. Bone. 2019;120:187–193. 10.1016/j.bone.2018.10.024 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19. Greenwood C, Clement JG, Dicken AJ, et al. The micro-architecture of human cancellous bone from fracture neck of femur patients in relation to the structural integrity and fracture toughness of the tissue. Bone Rep. 2015;3:67–75. 10.1016/j.bonr.2015.10.001 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20. Feingold KR. Introduction to lipids and lipoproteins. In: Feingold KR, Anawalt B, Boyce A, et al., eds. Endotext. South Dartmouth, MA: endotext.org; 2000. [Google Scholar]
  • 21. Pacifici R. Bone Remodeling and the microbiome. Cold Spring Harb Perspect Med. 2018;8(4). 10.1101/cshperspect.a031203 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22. Chung E, Elmassry MM, Cao JJ, et al. Beneficial effect of dietary geranylgeraniol on glucose homeostasis and bone microstructure in obese mice is associated with suppression of proinflammation and modification of gut microbiome. Nutr Res. 2021;93:27–37. 10.1016/j.nutres.2021.07.001 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23. Kang JX, Wang J, Wu L, Kang ZB. Transgenic mice: fat-1 mice convert n-6 to n-3 fatty acids. Nature. 2004;427(6974):504. 10.1038/427504a [DOI] [PubMed] [Google Scholar]
  • 24. Kang JX. A transgenic mouse model for gene-nutrient interactions. J Nutrigenet Nutrigenomics. 2008;1(4):172–177. 10.1159/000119714 [DOI] [PubMed] [Google Scholar]
  • 25. Lau BY, Ward WE, Kang JX, Ma DW. Fat-1 gene modulates the fatty acid composition of femoral and vertebral phospholipids. Appl Physiol Nutr Metab. 2010;35(4):447–455. 10.1139/H10-029 [DOI] [PubMed] [Google Scholar]
  • 26. Zarini S, Gijon MA, Folco G, Murphy RC. Effect of arachidonic acid reacylation on leukotriene biosynthesis in human neutrophils stimulated with granulocyte-macrophage colony-stimulating factor and formyl-methionyl-leucyl-phenylalanine. J Biol Chem. 2006;281(15):10134–10142. 10.1074/jbc.M510783200 [DOI] [PubMed] [Google Scholar]
  • 27. Bouxsein ML, Boyd SK, Christiansen BA, Guldberg RE, Jepsen KJ, Muller R. Guidelines for assessment of bone microstructure in rodents using micro-computed tomography. J Bone Miner Res. 2010;25(7):1468–1486. 10.1002/jbmr.141 [DOI] [PubMed] [Google Scholar]
  • 28. Jepsen KJ, Silva MJ, Vashishth D, Guo XE, van der Meulen MC. Establishing biomechanical mechanisms in mouse models: practical guidelines for systematically evaluating phenotypic changes in the diaphyses of long bones. J Bone Miner Res. 2015;30(6):951–966. 10.1002/jbmr.2539 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29. Turner CH, Burr DB. Basic biomechanical measurements of bone: a tutorial. Bone. 1993;14(4):595–608. 10.1016/8756-3282(93)90081-k [DOI] [PubMed] [Google Scholar]
  • 30. Ritchie RO, Koester KJ, Ionova S, Yao W, Lane NE, Ager JW 3rd.. Measurement of the toughness of bone: a tutorial with special reference to small animal studies. Bone. 2008;43(5):798–812. 10.1016/j.bone.2008.04.027 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31. Shively CA, Appt SE, Vitolins MZ, et al. Mediterranean versus western diet effects on caloric intake, obesity, metabolism, and hepatosteatosis in nonhuman primates. Obesity. 2019;27(5):777–784. 10.1002/oby.22436 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32. Eng JY, Moy FM, Bulgiba A, Rampal S. Dose-response relationship between western diet and being overweight among teachers in Malaysia. Nutrients. 2020;12(10):3092. 10.3390/nu12103092 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33. Weiss LA, Barrett-Connor E, von Muhlen D. Ratio of n-6 to n-3 fatty acids and bone mineral density in older adults: the Rancho Bernardo Study. Am J Clin Nutr. 2005;81(4):934–938. 10.1093/ajcn/81.4.934 [DOI] [PubMed] [Google Scholar]
  • 34. Karlsson MK, Rosengren BE. Exercise and peak bone mass. Curr Osteoporos Rep. 2020;18(3):285–290. 10.1007/s11914-020-00588-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35. Weaver CM, Gordon CM, Janz KF, et al. The National Osteoporosis Foundation's position statement on peak bone mass development and lifestyle factors: a systematic review and implementation recommendations. Osteoporos Int. 2016;27(4):1281–1386. 10.1007/s00198-015-3440-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36. Ionova-Martin SS, Wade JM, Tang S, et al. Changes in cortical bone response to high-fat diet from adolescence to adulthood in mice. Osteoporos Int. 2011;22(8):2283–2293. 10.1007/s00198-010-1432-x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37. Mak IL, Lavery P, Agellon S, Rauch F, Murshed M, Weiler HA. Arachidonic acid exacerbates diet-induced obesity and reduces bone mineral content without impacting bone strength in growing male rats. J Nutr Biochem. 2019;73:108226. 10.1016/j.jnutbio.2019.108226 [DOI] [PubMed] [Google Scholar]
  • 38. Koren N, Simsa-Maziel S, Shahar R, Schwartz B, Monsonego-Ornan E. Exposure to omega-3 fatty acids at early age accelerate bone growth and improve bone quality. J Nutr Biochem. 2014;25(6):623–633. 10.1016/j.jnutbio.2014.01.012 [DOI] [PubMed] [Google Scholar]
  • 39. Beamer WG, Donahue LR, Rosen CJ, Baylink DJ. Genetic variability in adult bone density among inbred strains of mice. Bone. 1996;18(5):397–403. 10.1016/8756-3282(96)00047-6 [DOI] [PubMed] [Google Scholar]
  • 40. Rudolph MC, Jackman MR, Presby DM, et al. Low neonatal plasma n-6/n-3 PUFA ratios regulate offspring Adipogenic potential and condition adult obesity resistance. Diabetes. 2018;67(4):651–661. 10.2337/db17-0890 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41. Banu J, Bhattacharya A, Rahman M, Kang JX, Fernandes G. Endogenously produced n-3 fatty acids protect against ovariectomy induced bone loss in fat-1 transgenic mice. J Bone Miner Metab. 2010;28(6):617–626. 10.1007/s00774-010-0175-2 [DOI] [PubMed] [Google Scholar]
  • 42. Rahman MM, Bhattacharya A, Banu J, Kang JX, Fernandes G. Endogenous n-3 fatty acids protect ovariectomy induced bone loss by attenuating osteoclastogenesis. J Cell Mol Med. 2009;13(8B):1833–1844. 10.1111/j.1582-4934.2009.00649.x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43. Zhan Q, Tian Y, Han L, Wang K, Wang J, Xue C. The opposite effects of Antarctic krill oil and arachidonic acid-rich oil on bone resorption in ovariectomized mice. Food Funct. 2020;11(8):7048–7060. 10.1039/d0fo00884b [DOI] [PubMed] [Google Scholar]
  • 44. Sawin EA, Stroup BM, Murali SG, O'Neill LM, Ntambi JM, Ney DM. Differential effects of dietary fat content and protein source on bone phenotype and fatty acid oxidation in female C57Bl/6 mice. PLoS One. 2016;11(10):e0163234.Epub 2016/10/04. 10.1371/journal.pone.0163234PubMed PMID: 27695036; PMCID: PMC5047596 Foods for Nutritional Management of Phenylketonuria and other Metabolic Disorders," and U.S. Patent 9,180,168 B2, "Use of Glycomacropeptide to Improve Women's Health," which are held by the Wisconsin Alumni Research Foundation and licensed to Cambrooke Therapeutics, LLC. This does not alter our adherence to PLOS ONE policies on sharing data and materials [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45. Wu S, Aguilar AL, Ostrow V, De Luca F. Insulin resistance secondary to a high-fat diet stimulates longitudinal bone growth and growth plate chondrogenesis in mice. Endocrinology. 2011;152(2):468–475. Epub 2010/11/26. 10.1210/en.2010-0803PubMed PMID: 21106874 [DOI] [PubMed] [Google Scholar]
  • 46. van Gastel N, Stegen S, Eelen G, et al. Lipid availability determines fate of skeletal progenitor cells via SOX9. Nature. 2020;579(7797):111–117. 10.1038/s41586-020-2050-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47. Bonnet N, Ferrari SL. Effects of long-term supplementation with omega-3 fatty acids on longitudinal changes in bone mass and microstructure in mice. J Nutr Biochem. 2011;22(7):665–672. Epub 2010/11/03. 10.1016/j.jnutbio.2010.05.006 [DOI] [PubMed] [Google Scholar]
  • 48. Omer M, Ali H, Orlovskaya N, et al. Omega-9 modifies viscoelasticity and augments bone strength and architecture in a high-fat diet-fed murine model. Nutrients. 2022;14(15):3165. 10.3390/nu14153165 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49. Sherk VD, Heveran CM, Foright RM, et al. Sex differences in the effect of diet, obesity, and exercise on bone quality and fracture toughness. Bone. 2021;145:115840. 10.1016/j.bone.2021.115840 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50. Rowe DW, Adams DJ, Hong SH, et al. Screening gene knockout mice for variation in bone mass: analysis by muCT and Histomorphometry. Curr Osteoporos Rep. 2018;16(2):77–94. 10.1007/s11914-018-0421-4 [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

S1_Weight_Trajectories_ziad011
S2_Body_Comp_Trajectories_ziad011
S3_WB_BMC_and_BMD_trajectories_ziad011
S4_Femur_BMC_and_BMD_ziad011
S5_Femur_BMC_and_BMD_trajectories_ziad011
S6_Spine_BMC_and_BMD_ziad011
S7_Spine_BMC_and_BMD_trajectories_ziad011
S8_The_relationship_between_whole_bone_strength_and_section_modulus_ziad011
fat-1_MS_supporting_info_ziad011

Data Availability Statement

Investigators interested in collaboration with data or with questions, can email VSD and CLAB at vanessa.sherk@nih.gov and cheryl.ackert-bicknell@cuanschutz.edu.


Articles from JBMR Plus are provided here courtesy of Oxford University Press

RESOURCES