Validation of an OpenSim full-body model with detailed lumbar spine for estimating lower lumbar spine loads during symmetric and asymmetric lifting tasks

There is currently no validated full-body lifting model publicly available on the OpenSim modelling platform to estimate spinal loads during lifting. In this study, the existing full-body-lumbar-spine model was adapted and validated for lifting motions to produce the lifting full-body model. Back muscle activations predicted by the model closely matched the measured erector spinae activation patterns. Model estimates of intradiscal pressures and in vivo measurements were strongly correlated. The same spine loading trends were observed for model estimates and reported vertebral body implant measurements. These results demonstrate the suitability of this model to evaluate changes in lumbar loading during lifting.     

The influence of different magnitudes and methods of applying preload on fusion and disc replacement constructs in the lumbar spine: a finite element analysis

In a finite element (FE) analysis of the lumbar spine, different preload application methods that are used in biomechanical studies may yield diverging results. To investigate how the biomechanical behaviour of a spinal implant is affected by the method of applying the preload, hybrid-controlled FE analysis was used to evaluate the biomechanical behaviour of the lumbar spine under different preload application methods. The FE models of anterior lumbar interbody fusion (ALIF) and artificial disc replacement (ADR) were tested under three different loading conditions: a 150 N pressure preload (PP) and 150 and 400 N follower loads (FLs). This study analysed the resulting range of motion (ROM), facet contact force (FCF), inlay contact pressure (ICP) and stress distribution of adjacent discs. The FE results indicated that the ROM of both surgical constructs was related to the preload application method and magnitude; differences in the ROM were within 7% for the ALIF model and 32% for the ADR model. Following the application of the FL and after increasing the FL magnitude, the FCF of the ADR model gradually increased, reaching 45% at the implanted level in torsion. The maximum ICP gradually decreased by 34.1% in torsion and 28.4% in lateral bending. This study concluded that the preload magnitude and application method affect the biomechanical behaviour of the lumbar spine. For the ADR, remarkable alteration was observed while increasing the FL magnitude, particularly in the ROM, FCF and ICP. However, for the ALIF, PP and FL methods had no remarkable alteration in terms of ROM and adjacent disc stress.     

Effect of a GFOD2 variant on responses in total and LDL cholesterol in Mexican subjects with hypercholesterolemia after soy protein and soluble fiber supplementation

Background

Although dietary treatments can successfully reduce blood lipids in hypercholesterolemic subjects, individual variation in that response has on occasion been linked to allelic differences. SNP rs12449157 has shown association with HDL-C concentrations in GWAS and falls in the glucose-fructose oxidoreductase domain containing 2 (GFOD2) locus. Of interest, previous data suggest that this SNP may be under environmentally driven selection. Thus, the aim of this study was to assess if rs12449157 may mediate the response of lipid traits to a dietary supplementation (DS) with soy protein and soluble fiber in a Mexican population with hypercholesterolemia.

Methods

Forty-one subjects with hypercholesterolemia were given a low saturated fat diet (LSFD) for 1 month, followed by a LSFD + DS that included 25 g of soy protein and 15 g of soluble fiber (S/SF) daily for 2 months. Anthropometric, clinical, biochemical and dietary variables were determined. We analyzed the gene–diet interaction between the GFOD2 genotype, with the minor allele frequency of 0.24, and the DS on total cholesterol (TC) and LDL-C concentrations.

Results

Hypercholesterolemic subjects with GFOD2 rs12449157 G allele had higher serum TC and LDL-C at the baseline and showed a greater response to the LSCD + S/SF (− 83.9 and − 57.5 mg/dl, respectively) than those with GFOD2 AA genotype (− 40.1 and − 21.8 mg/dl, respectively) (P = 0.006 for TC, 0.025 for LDL-C, respectively).

Conclusion

The observed differences in allele-driven, diet-induced changes in blood lipids may be the result of a recent environmentally driven selection on the rs12449157 minor allele. Variation in the GFOD2 gene contributes to the genetic basis for a differential response to a cholesterol- or lipid-lowering diet.