Obesity Is Associated with Fatty Liver and Fat Changes in the Kidneys in Humans as Assessed by MRI.


Journal

Nutrients
ISSN: 2072-6643
Titre abrégé: Nutrients
Pays: Switzerland
ID NLM: 101521595

Informations de publication

Date de publication:
03 May 2024
Historique:
received: 05 04 2024
revised: 30 04 2024
accepted: 30 04 2024
medline: 11 5 2024
pubmed: 11 5 2024
entrez: 11 5 2024
Statut: epublish

Résumé

Obesity is associated with metabolic syndrome and fat accumulation in various organs such as the liver and the kidneys. Our goal was to assess, using magnetic resonance imaging (MRI) Dual-Echo phase sequencing, the association between liver and kidney fat deposition and their relation to obesity. We analyzed MRI scans of individuals who were referred to the Chaim Sheba Medical Center between December 2017 and May 2020 to perform a study for any indication. For each individual, we retrieved from the computerized charts data on sex, and age, weight, height, body mass index (BMI), systolic and diastolic blood pressure (BP), and comorbidities (diabetes mellitus, hypertension, dyslipidemia). We screened MRI studies of 399 subjects with a median age of 51 years, 52.4% of whom were women, and a median BMI 24.6 kg/m Obesity is a major risk factor for developing a fatty liver and fatty kidneys. Individuals with a fatty liver are more likely to have fatty kidneys. MRI is an accurate modality for diagnosing fatty kidneys. Reviewing MRI scans of any indication should include assessment of fat fractions in the kidneys in addition to that of the liver.

Sections du résumé

BACKGROUND BACKGROUND
Obesity is associated with metabolic syndrome and fat accumulation in various organs such as the liver and the kidneys. Our goal was to assess, using magnetic resonance imaging (MRI) Dual-Echo phase sequencing, the association between liver and kidney fat deposition and their relation to obesity.
METHODS METHODS
We analyzed MRI scans of individuals who were referred to the Chaim Sheba Medical Center between December 2017 and May 2020 to perform a study for any indication. For each individual, we retrieved from the computerized charts data on sex, and age, weight, height, body mass index (BMI), systolic and diastolic blood pressure (BP), and comorbidities (diabetes mellitus, hypertension, dyslipidemia).
RESULTS RESULTS
We screened MRI studies of 399 subjects with a median age of 51 years, 52.4% of whom were women, and a median BMI 24.6 kg/m
CONCLUSIONS CONCLUSIONS
Obesity is a major risk factor for developing a fatty liver and fatty kidneys. Individuals with a fatty liver are more likely to have fatty kidneys. MRI is an accurate modality for diagnosing fatty kidneys. Reviewing MRI scans of any indication should include assessment of fat fractions in the kidneys in addition to that of the liver.

Identifiants

pubmed: 38732633
pii: nu16091387
doi: 10.3390/nu16091387
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Hadar Raphael (H)

Arrow Projects for Medical Research Education, The Chaim Sheba Medical Center, Tel Hashomer 5266202, Israel.
Department of Imaging, The Chaim Sheba Medical Center, Tel Hashomer 5266202, Israel.
Faculty of Medicine, Tel Aviv University, Tel Aviv 5266202, Israel.

Eyal Klang (E)

Department of Imaging, The Chaim Sheba Medical Center, Tel Hashomer 5266202, Israel.
Faculty of Medicine, Tel Aviv University, Tel Aviv 5266202, Israel.

Eli Konen (E)

Department of Imaging, The Chaim Sheba Medical Center, Tel Hashomer 5266202, Israel.
Faculty of Medicine, Tel Aviv University, Tel Aviv 5266202, Israel.

Yael Inbar (Y)

Department of Imaging, The Chaim Sheba Medical Center, Tel Hashomer 5266202, Israel.
Faculty of Medicine, Tel Aviv University, Tel Aviv 5266202, Israel.

Avshalom Leibowitz (A)

Faculty of Medicine, Tel Aviv University, Tel Aviv 5266202, Israel.
Internal Medicine D the Chaim Sheba Medical Center, Tel Hashomer 5266202, Israel.

Yael Frenkel-Nir (Y)

Faculty of Medicine, Tel Aviv University, Tel Aviv 5266202, Israel.
Medical Management Department, The Chaim Sheba Medical Center, Tel Hashomer 5266202, Israel.

Sara Apter (S)

Department of Imaging, The Chaim Sheba Medical Center, Tel Hashomer 5266202, Israel.
Faculty of Medicine, Tel Aviv University, Tel Aviv 5266202, Israel.

Ehud Grossman (E)

Adelson Medical School, Ariel University, Ariel 4077625, Israel.

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Classifications MeSH