| Literature DB >> 33807510 |
Elena Cojocaru1, Maria Magdalena Leon-Constantin2, Carmen Ungureanu1, Mioara Florentina Trandafirescu1, Alexandra Maștaleru2, Laura Mihaela Trandafir3, Florin Dumitru Petrariu4, Oana Viola Bădulescu5, Nina Filip5.
Abstract
Background andEntities:
Keywords: atherosclerosis; leucine; rat; triglycerides; valine
Year: 2021 PMID: 33807510 PMCID: PMC8002166 DOI: 10.3390/medicina57030239
Source DB: PubMed Journal: Medicina (Kaunas) ISSN: 1010-660X Impact factor: 2.430
Levels of triglycerides in all groups.
| Group | R0 | R1 | R2 |
|---|---|---|---|
|
| |||
|
| 23.70 | 23.88 | 23.90 |
|
| 0.89 | 0.90 | 0.78 |
|
| 3.76 | 3.77 | 3.27 |
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| |||
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| 24.19 | 45.73 | 60.61 |
|
| 3.44 | 6.78 | 4.87 |
|
| 14.22 | 14.82 | 8.04 |
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| |||
|
| 23.91 | 34.15 | 39.73 |
|
| 1.31 | 0.84 | 1.30 |
|
| 5.48 | 2.45 | 3.27 |
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| |||
|
| 24.04 | 39.15 | 47.56 |
|
| 2.43 | 2.01 | 2.07 |
|
| 10.13 | 5.14 | 4.36 |
Figure 1Individual levels of triglycerides in all groups.
Multivariate tests using one-way repeated measure analysis of variance.
| Multivariate Tests d | |||||||||
|---|---|---|---|---|---|---|---|---|---|
| Effect | Value | F | Hypothesis df | Error df | Sig. | Partial Eta Squared | Noncent. Parameter | Observed Power b | |
| Time | Pillai’s Trace | 0.985 | 879.337 a | 2.000 | 27.000 | 0.000 | 0.985 | 1758.674 | 1.000 |
| Wilks’ Lambda | 0.015 | 879.337 a | 2.000 | 27.000 | 0.000 | 0.985 | 1758.674 | 1.000 | |
| Hotelling’s Trace | 65.136 | 879.337 a | 2.000 | 27.000 | 0.000 | 0.985 | 1758.674 | 1.000 | |
| Roy’s Largest Root | 65.136 | 879.337 a | 2.000 | 27.000 | 0.000 | 0.985 | 1758.674 | 1.000 | |
| Time * Type | Pillai’s Trace | 1.058 | 10.487 | 6.000 | 56.000 | 0.000 | 0.529 | 62.920 | 1.000 |
| Wilks’ Lambda | 0.028 | 44.831 a | 6.000 | 54.000 | 0.000 | 0.833 | 268.989 | 1.000 | |
| Hotelling’s Trace | 31.694 | 137.340 | 6.000 | 52.000 | 0.000 | 0.941 | 824.037 | 1.000 | |
| Roy’s Largest Root | 31.596 | 294.898 c | 3.000 | 28.000 | 0.000 | 0.969 | 884.694 | 1.000 | |
a Exact statistic. b Computed using alpha = 0.05. c The statistic is an upper bound on F that yields a lower bound on the significance level. d Design: Intercept + Type. Within Subjects Design: Time. * Statistical difference between time and type (groups).
Pairwise comparisons between the studied groups.
| Pairwise Comparisons | ||||||||
|---|---|---|---|---|---|---|---|---|
| (I) Time | (J) Time | Mean Difference (I-J) | Std. Error | Sig.a | 95% Confidence Interval for | |||
| Lower Bound | Upper Bound | |||||||
| dimension1 | R0 | dimension2 | R1 | −11.766 * | 0.459 | 0.000 | −12.934 | −10.597 |
| R2 | −18.986 * | 0.454 | 0.000 | −20.143 | −17.829 | |||
| R1 | dimension2 | R0 | 11.766 * | 0.459 | 0.000 | 10.597 | 12.934 | |
| R2 | −7.220 * | 0.321 | 0.000 | −8.038 | −6.401 | |||
| R2 | dimension2 | R0 | 18.986 * | 0.454 | 0.000 | 17.829 | 20.143 | |
| R1 | 7.220 * | 0.321 | 0.000 | 6.401 | 8.038 | |||
Based on estimated marginal means. *. The mean difference is significant at the 0.05 level. a Adjustment for multiple comparisons: Bonferroni.
Statistical differences between the average levels of triglycerides in all groups.
| Time | Group | Control Group ( | C ( | C + V ( |
|---|---|---|---|---|
| R0 | C ( | - | ||
| C + V ( | - | |||
| C + L ( | ||||
| R1 | C ( | - | ||
| C + V ( | - | |||
| C + L ( | ||||
| R2 | C ( | - | ||
| C + V ( | - | |||
| C + L ( |
Post-hoc analysis: Newman–Keuls test; (*) Marked differences are significant at p < 0.05.
Figure 2Average levels of triglycerides in all groups.
Mean values of HDL, LDL and glucose at R0, R1 and R2.
| Group | R0 | R1 | R2 | ||
|---|---|---|---|---|---|
|
| Control group | 37.14 ± 2.56 | 37.50 ± 2.09 | 37.61 ± 1.45 | 0.0783 |
| C ( | 36.41 ± 4.15 | 49.89 ± 3.99 | 76.61 ± 3.46 | <0.001 * | |
| C + V ( | 36.67 ± 1.28 | 41.12 ± 1.27 | 44.87 ± 1.22 | 0.001 * | |
| C + L ( | 36.50 ± 2.70 | 46.04 ± 2.71 | 49.53 ± 2.12 | <0.001 * | |
|
|
|
|
| ||
|
| Control group | 23 ± 1.48 | 22.88 ± 1.22 | 22.89 ± 1.68 | 0.911 |
| C ( | 22.43 ± 3.29 | 19.44 ± 1.45 | 15.93 ± 1.20 | 0.004 | |
| C + V ( | 22.98 ± 1.48 | 24.64 ± 2.79 | 26.85 ± 2.95 | 0.114 | |
| C + L ( | 22.51 ± 2.15 | 22.97 ± 1.90 | 23.17 ± 1.81 | 0.523 | |
|
|
|
|
| ||
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| Control group | 9.39 ± 3.39 | 9.83 ± 2.52 | 9.93 ± 2.71 | 0.749 |
| C ( | 7.73 ± 4.54 | 21.3 ± 3.64 | 47.94 ± 5.47 | <0.001 * | |
| C + V ( | 8.9 ± 2.01 | 9.64 ± 2.79 | 10.07 ± 2.75 | 0.486 | |
| C + L ( | 9.17 ± 3.43 | 15.23 ± 2.73 | 16.84 ± 2.28 | 0.0004 * | |
|
|
|
|
| ||
|
| Control group | 122.75 ± 5.87 | 122.61 ± 5.84 | 122.77 ± 6.08 | 0.962 |
| C ( | 122.78 ± 8.77 | 149.26 ± 7.73 | 162.82 ± 5.83 | <0.001 * | |
| C + V ( | 121.98 ± 4.71 | 140.93 ± 4.84 | 142.37 ± 4.70 | <0.001 * | |
| C + L ( | 121.93 ± 5.13 | 143.79 ± 6.32 | 148.08 ± 4.78 | <0.001 * | |
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Post–hoc analysis: Newman–Keuls test; (*) Marked differences are significant at p < 0.05. SD–standard deviation.