The Impact of Body Fat Distribution on COVID-19 Vaccine Response: An MRI-Based Study

Mehmet Erşen; Hüseyin Kaya Süer

Makale detayları

The Impact of Body Fat Distribution on COVID-19 Vaccine Response: An MRI-Based Study

Yazarlar:

Mehmet Erşen | Hüseyin Kaya Süer

Yayıncı:

Marmara University

Ana Başlıklar:

Clinical Microbiology | Radiology and Organ Imaging

Dergi:

Clinical and Experimental Health Sciences Vol.14 Issue 1, pp.188-193

Belge Tipi:

Makale

Yayın Tarihi:

3/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001310982

pISSN:

2459-1459

Anahtar kelimeler:

Özet:

 Objective: Subcutaneous and visceral adipose tissue have distinct physiological roles. The correlation between the amount of visceral tissue and the immunity response following vaccination remains unclear, despite its known effects on immunity. The purpose of this study is to examine the relationship between SARS-CoV-2 IgG antibody levels after vaccination and body fat tissue values measured using a specialized software on specific magnetic resonance imaging sequences. Methods: After ethics committee approval, prospectively 60 volunteers 27 males, 33 females; median age of 33 years were vaccinated with inactivated SARS-CoV-2 vaccine and tested for IgG levels. Abdominal MRI was performed to measure subcutaneous and visceral fat tissue areas using a semiautomatic application. Results: The median value of IgG antibody titers after vaccination was 1039 113  6613. Median subcutaneous adipose tissuecm2, visceral adipose tissue cm2, SAT index SATI cm2m2, VAT index VATI cm2m2, total fat area TFA cm2, and SATVAT cm2 were 178.5 38.1-552.5, 51.5 7.1-273.2, 61.4 14.3-213.1, 19.1 2.7-90.6, 251.3 45.3-683.2, and 3.3 0.4-12.3 respectively. There was no significant correlation between the adipose tissue measurements and antibody titers p.05. Conclusion: This study demonstrated that automated software can efficiently and accurately evaluate body fat distribution using MRI. However, the results showed no significant association between fat distribution and the immunization response to the SARS-CoV-2 vaccine.

 Objective: Subcutaneous and visceral adipose tissue have distinct physiological roles. The correlation between the amount of visceral tissue and the immunity response following vaccination remains unclear, despite its known effects on immunity. The purpose of this study is to examine the relationship between SARS-CoV-2 IgG antibody levels after vaccination and body fat tissue values measured using a specialized software on specific magnetic resonance imaging sequences. Methods: After ethics committee approval, prospectively 60 volunteers 27 males, 33 females; median age of 33 years were vaccinated with inactivated SARS-CoV-2 vaccine and tested for IgG levels. Abdominal MRI was performed to measure subcutaneous and visceral fat tissue areas using a semiautomatic application. Results: The median value of IgG antibody titers after vaccination was 1039 113  6613. Median subcutaneous adipose tissuecm2, visceral adipose tissue cm2, SAT index SATI cm2m2, VAT index VATI cm2m2, total fat area TFA cm2, and SATVAT cm2 were 178.5 38.1-552.5, 51.5 7.1-273.2, 61.4 14.3-213.1, 19.1 2.7-90.6, 251.3 45.3-683.2, and 3.3 0.4-12.3 respectively. There was no significant correlation between the adipose tissue measurements and antibody titers p.05. Conclusion: This study demonstrated that automated software can efficiently and accurately evaluate body fat distribution using MRI. However, the results showed no significant association between fat distribution and the immunization response to the SARS-CoV-2 vaccine.

 Objective: Subcutaneous and visceral adipose tissue have distinct physiological roles. The correlation between the amount of visceral tissue and the immunity response following vaccination remains unclear, despite its known effects on immunity. The purpose of this study is to examine the relationship between SARS-CoV-2 IgG antibody levels after vaccination and body fat tissue values measured using a specialized software on specific magnetic resonance imaging sequences. Methods: After ethics committee approval, prospectively 60 volunteers 27 males, 33 females; median age of 33 years were vaccinated with inactivated SARS-CoV-2 vaccine and tested for IgG levels. Abdominal MRI was performed to measure subcutaneous and visceral fat tissue areas using a semiautomatic application. Results: The median value of IgG antibody titers after vaccination was 1039 113  6613. Median subcutaneous adipose tissuecm2, visceral adipose tissue cm2, SAT index SATI cm2m2, VAT index VATI cm2m2, total fat area TFA cm2, and SATVAT cm2 were 178.5 38.1-552.5, 51.5 7.1-273.2, 61.4 14.3-213.1, 19.1 2.7-90.6, 251.3 45.3-683.2, and 3.3 0.4-12.3 respectively. There was no significant correlation between the adipose tissue measurements and antibody titers p.05. Conclusion: This study demonstrated that automated software can efficiently and accurately evaluate body fat distribution using MRI. However, the results showed no significant association between fat distribution and the immunization response to the SARS-CoV-2 vaccine.

 Objective: Subcutaneous and visceral adipose tissue have distinct physiological roles. The correlation between the amount of visceral tissue and the immunity response following vaccination remains unclear, despite its known effects on immunity. The purpose of this study is to examine the relationship between SARS-CoV-2 IgG antibody levels after vaccination and body fat tissue values measured using a specialized software on specific magnetic resonance imaging sequences. Methods: After ethics committee approval, prospectively 60 volunteers 27 males, 33 females; median age of 33 years were vaccinated with inactivated SARS-CoV-2 vaccine and tested for IgG levels. Abdominal MRI was performed to measure subcutaneous and visceral fat tissue areas using a semiautomatic application. Results: The median value of IgG antibody titers after vaccination was 1039 113  6613. Median subcutaneous adipose tissuecm2, visceral adipose tissue cm2, SAT index SATI cm2m2, VAT index VATI cm2m2, total fat area TFA cm2, and SATVAT cm2 were 178.5 38.1-552.5, 51.5 7.1-273.2, 61.4 14.3-213.1, 19.1 2.7-90.6, 251.3 45.3-683.2, and 3.3 0.4-12.3 respectively. There was no significant correlation between the adipose tissue measurements and antibody titers p.05. Conclusion: This study demonstrated that automated software can efficiently and accurately evaluate body fat distribution using MRI. However, the results showed no significant association between fat distribution and the immunization response to the SARS-CoV-2 vaccine.

Makale detayları

The Impact of Body Fat Distribution on COVID-19 Vaccine Response: An MRI-Based Study

Yazarlar:

Mehmet Erşen | Hüseyin Kaya Süer

Yayıncı:

Marmara University

Ana Başlıklar:

Clinical Microbiology | Radiology and Organ Imaging

Dergi:

Clinical and Experimental Health Sciences Vol.14 Issue 1, pp.188-193

Belge Tipi:

Makale

Yayın Tarihi:

3/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001310982

pISSN:

2459-1459

Covid-19

CoronaVac

SinoVac

body fat distribution

Magnetic Resonance Imaging

Sayı

Makale detayları

The Impact of Body Fat Distribution on COVID-19 Vaccine Response: An MRI-Based Study

Yazarlar: Mehmet Erşen | Hüseyin Kaya Süer

Yayıncı: Marmara University

Ana Başlıklar: Clinical Microbiology | Radiology and Organ Imaging

Dergi: Clinical and Experimental Health Sciences Vol.14 Issue 1, pp.188-193

Belge Tipi: Makale

Yayın Tarihi: 3/2024

Belge Dili: İngilizce

Document ID (Org No.): 2001310982

pISSN: 2459-1459

Covid-19

CoronaVac

SinoVac

body fat distribution

Magnetic Resonance Imaging

Sayı

Yazarlar:

Mehmet Erşen | Hüseyin Kaya Süer

Yayıncı:

Marmara University

Ana Başlıklar:

Clinical Microbiology | Radiology and Organ Imaging

Dergi:

Clinical and Experimental Health Sciences Vol.14 Issue 1, pp.188-193

Belge Tipi:

Makale

Yayın Tarihi:

3/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001310982

pISSN:

2459-1459