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Original Research

Metabolite Profiling of Osteoporosis and Atherosclerosis in Postmenopausal Women: A Cross-Sectional Study

ORCID Icon, ORCID Icon, , , &
Pages 515-524 | Published online: 02 Dec 2020

Figures & data

Figure 1 Population selection process.

Figure 1 Population selection process.

Table 1 Characteristics of the Study Population and the Subgroups

Figure 2 The differences in metabolomics between group I and group II.

Notes: The mean difference in the 95% confidence intervals between group I (n=16, osteoporosis with CACs) and group II (n=59, normal T-score and no CACs). Group II was used as a reference group. Only the five most remarkable variables (p-values) from each metabolic group are shown in the figure. Logarithm modifications were made to ensure the variables had normal distributions. P-values indicated with red color were statistically significant. P = p-value; adj = adjusted with age, total body fat mass and statin use.
Figure 2 The differences in metabolomics between group I and group II.

Figure 3 The differences in metabolomics between group III and group IV.

Notes: The mean difference with the 95% confidence intervals between group III (n=11, osteoporosis with highest CIMT tertile) and group IV (n=48, normal T-score and low CIMT). Group IV was used as a reference group. Only the five most remarkable variables (p-values) from each metabolic group are shown in the figure. Logarithm modifications were made to ensure variables normal distributions. P-values indicated with red color were statistically significant. P = p-value; adj = adjusted with age, total body fat mass and statin use.
Figure 3 The differences in metabolomics between group III and group IV.