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Research article
Khadijeh Mirzaei
Tehran University of Medical Sciences
Corresponding Author
ORCiD: https://orcid.org/0000-0003-0231-0478
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Background: Metabolic syndrome (MetS) carries increased risk of the mortality of almost all chronic diseases. The most frequently used methods for calculation of a continuous MetS (cMetS) score have used the MetS severity z- score. Caveolin-1 (CAV-1(is one of the gens that is suggested by some authors that has a great effect on the visceral fat. This study was designed to investigate the relationship between CAV-1 markers and cMetS, the associations between CAV-1 rs3807992 and FD; and to assess FD mediators of the predicted association between CAV-1 and cMetS.
Methods: The current cross-sectional study was conducted on 404 overweight and obese females. The CAV-1 rs3807992 and anthropometric data were measured by the PCR-RFLP method and bioelectrical impedance analysis (BIA), respectively. Serum profiles (HDL-C, TG, FPG, and Insulin) were measured by standard protocols.
Results: Individuals with GG allele had significantly lowered (Z-MAP (p=0.02), total cMetS (p=0.03)) and higher Z-HDL (p=0.001) compared with A allele carrier. There was a significant specific indirect effect (standardized coefficient = 0.19; 95% CI: 0.01–0.4) of VFL. Although, total body fat was significantly associated with CAV-1 rs3807992 and cMetS, the specific indirect effect was not significant (standardized coefficient = 0.21; 95% CI: (-0.006,0.44). Visceral fat level contributed to significant indirect effects of 35% on the relationship between CAV-1 and cMetS.
Conclusion: Higher visceral adipose tissue may affect the relationship between CAV-1 and MetS. Although CAV-1 rs3807992 is linked to visceral fat in our study, the influence of this polymorphism on MetS is not via total fat.
Keywords
Caveolin 1, Polymorphism, Metabolic syndrome, Indirect effect, Body fat distribution
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CURRENT STATUS: Published
View the published article at BMC Medical Genomics.
Version 1
Posted 17 Nov, 2020
No community comments so far
Editorial decision: Major revision
On 19 Feb, 2021
Review #2 received
Received 10 Feb, 2021
Reviewer #2 agreed
On 07 Feb, 2021
Review #1 received
Received 30 Dec, 2020
Reviewer #1 agreed
On 25 Dec, 2020
Reviewers invited
Invitations sent on 08 Dec, 2020
Editor assigned
On 22 Nov, 2020
Submission checks complete
On 10 Nov, 2020
Editor invited
On 08 Nov, 2020
First submitted
On 28 Oct, 2020
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Subject Areas
Epigenetics & Genomics
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A new preprint design is coming!
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See the published version of this preprint at BMC Medical Genomics.
This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Research article
Khadijeh Mirzaei
Tehran University of Medical Sciences
Corresponding Author
ORCiD: https://orcid.org/0000-0003-0231-0478
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Published
View the published article at BMC Medical Genomics.
Version 1
Posted 17 Nov, 2020
No community comments so far
Editorial decision: Major revision
On 19 Feb, 2021
Review #2 received
Received 10 Feb, 2021
Reviewer #2 agreed
On 07 Feb, 2021
Review #1 received
Received 30 Dec, 2020
Reviewer #1 agreed
On 25 Dec, 2020
Reviewers invited
Invitations sent on 08 Dec, 2020
Editor assigned
On 22 Nov, 2020
Submission checks complete
On 10 Nov, 2020
Editor invited
On 08 Nov, 2020
First submitted
On 28 Oct, 2020
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Epigenetics & Genomics
License:
This work is licensed under a CC BY 4.0 License. Read Full License
View the published article at BMC Medical Genomics.
Background: Metabolic syndrome (MetS) carries increased risk of the mortality of almost all chronic diseases. The most frequently used methods for calculation of a continuous MetS (cMetS) score have used the MetS severity z- score. Caveolin-1 (CAV-1(is one of the gens that is suggested by some authors that has a great effect on the visceral fat. This study was designed to investigate the relationship between CAV-1 markers and cMetS, the associations between CAV-1 rs3807992 and FD; and to assess FD mediators of the predicted association between CAV-1 and cMetS.
Methods: The current cross-sectional study was conducted on 404 overweight and obese females. The CAV-1 rs3807992 and anthropometric data were measured by the PCR-RFLP method and bioelectrical impedance analysis (BIA), respectively. Serum profiles (HDL-C, TG, FPG, and Insulin) were measured by standard protocols.
Results: Individuals with GG allele had significantly lowered (Z-MAP (p=0.02), total cMetS (p=0.03)) and higher Z-HDL (p=0.001) compared with A allele carrier. There was a significant specific indirect effect (standardized coefficient = 0.19; 95% CI: 0.01–0.4) of VFL. Although, total body fat was significantly associated with CAV-1 rs3807992 and cMetS, the specific indirect effect was not significant (standardized coefficient = 0.21; 95% CI: (-0.006,0.44). Visceral fat level contributed to significant indirect effects of 35% on the relationship between CAV-1 and cMetS.
Conclusion: Higher visceral adipose tissue may affect the relationship between CAV-1 and MetS. Although CAV-1 rs3807992 is linked to visceral fat in our study, the influence of this polymorphism on MetS is not via total fat.
Figure 1
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