Utility of Liver Function Tests and Fatty Liver Index to Categorize Metabolic Phenotypes in a Mediterranean Population
The aim of this study was to analyze the utility of liver function tests (LFT) and fatty liver index (FLI), a surrogate marker of non-alcoholic fatty liver disease, in the categorization of metabolic phenotypes in a Mediterranean population. A cross-sectional study was performed on a random represen...
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| Veröffentlicht in: | International journal of environmental research and public health 2020-05, Vol.17 (10), p.3518 |
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| creator | Narankiewicz, Dariusz Ruiz-Nava, Josefina Buonaiuto, Veronica Ruiz-Moreno, María Isabel López-Carmona, María Dolores Pérez-Belmonte, Luis Miguel Gómez-Huelgas, Ricardo Bernal-López, María Rosa |
| description | The aim of this study was to analyze the utility of liver function tests (LFT) and fatty liver index (FLI), a surrogate marker of non-alcoholic fatty liver disease, in the categorization of metabolic phenotypes in a Mediterranean population. A cross-sectional study was performed on a random representative sample of 2233 adults assigned to a health center in Málaga, Spain. The metabolic phenotypes were determined based on body mass index (BMI) categorization and the presence or absence of two or more cardiometabolic abnormalities (high blood pressure, low high-density lipoprotein (HDL) cholesterol, hypertriglyceridemia, pre-diabetes) or type 2 diabetes. No difference was observed between metabolically healthy and metabolically abnormal phenotypes on LFT. The mean FLI of the population was 41.1 ± 28.6. FLI was significantly higher (
< 0.001) in the metabolically abnormal phenotypes in all BMI categories. The proportion of individuals with pathological FLI (≥60) was significantly higher in the metabolically abnormal overweight and obese phenotypes (
< 0.001). On a multivariate model adjusted for sex, age, and waist circumference, a significant correlation was found between pathological FLI and metabolically abnormal phenotypes in the overweight and obese BMI categories. Area under the curve (AUC) of FLI as a biomarker was 0.76, 0.74, and 0.72 for the metabolically abnormal normal-weight, overweight, and obese groups, respectively. Liver biochemistry is poorly correlated with metabolic phenotypes. Conversely, a good correlation between FLI, as a marker of non-alcoholic fatty liver disease (NAFLD), and metabolically abnormal phenotypes in all BMI ranges was found. Our study suggests that FLI may be a useful marker for characterizing metabolically abnormal phenotypes in individuals who are overweight or obese. |
| doi_str_mv | 10.3390/ijerph17103518 |
| format | Article |
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< 0.001) in the metabolically abnormal phenotypes in all BMI categories. The proportion of individuals with pathological FLI (≥60) was significantly higher in the metabolically abnormal overweight and obese phenotypes (
< 0.001). On a multivariate model adjusted for sex, age, and waist circumference, a significant correlation was found between pathological FLI and metabolically abnormal phenotypes in the overweight and obese BMI categories. Area under the curve (AUC) of FLI as a biomarker was 0.76, 0.74, and 0.72 for the metabolically abnormal normal-weight, overweight, and obese groups, respectively. Liver biochemistry is poorly correlated with metabolic phenotypes. Conversely, a good correlation between FLI, as a marker of non-alcoholic fatty liver disease (NAFLD), and metabolically abnormal phenotypes in all BMI ranges was found. Our study suggests that FLI may be a useful marker for characterizing metabolically abnormal phenotypes in individuals who are overweight or obese.</description><identifier>ISSN: 1660-4601</identifier><identifier>ISSN: 1661-7827</identifier><identifier>EISSN: 1660-4601</identifier><identifier>DOI: 10.3390/ijerph17103518</identifier><identifier>PMID: 32443453</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Abnormalities ; Biobanks ; Biomarkers ; Blood pressure ; Body mass ; Body mass index ; Body size ; Body weight ; Cholesterol ; Classification ; Correlation ; Diabetes ; Diabetes mellitus ; Diabetes mellitus (non-insulin dependent) ; Fatty acids ; Fatty liver ; Health care ; Health care facilities ; High density lipoprotein ; Hypertension ; Hypertriglyceridemia ; Liver ; Liver diseases ; Metabolism ; Obesity ; Phenotypes ; Population ; Population studies ; Triglycerides ; Variables ; Variance analysis</subject><ispartof>International journal of environmental research and public health, 2020-05, Vol.17 (10), p.3518</ispartof><rights>2020. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2020 by the authors. 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c418t-df98eaf95829027fcee90fb07ba79210f25d2dce10a70c1b9c9fca1f4100251c3</citedby><cites>FETCH-LOGICAL-c418t-df98eaf95829027fcee90fb07ba79210f25d2dce10a70c1b9c9fca1f4100251c3</cites><orcidid>0000-0001-9333-076X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7277926/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7277926/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32443453$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Narankiewicz, Dariusz</creatorcontrib><creatorcontrib>Ruiz-Nava, Josefina</creatorcontrib><creatorcontrib>Buonaiuto, Veronica</creatorcontrib><creatorcontrib>Ruiz-Moreno, María Isabel</creatorcontrib><creatorcontrib>López-Carmona, María Dolores</creatorcontrib><creatorcontrib>Pérez-Belmonte, Luis Miguel</creatorcontrib><creatorcontrib>Gómez-Huelgas, Ricardo</creatorcontrib><creatorcontrib>Bernal-López, María Rosa</creatorcontrib><title>Utility of Liver Function Tests and Fatty Liver Index to Categorize Metabolic Phenotypes in a Mediterranean Population</title><title>International journal of environmental research and public health</title><addtitle>Int J Environ Res Public Health</addtitle><description>The aim of this study was to analyze the utility of liver function tests (LFT) and fatty liver index (FLI), a surrogate marker of non-alcoholic fatty liver disease, in the categorization of metabolic phenotypes in a Mediterranean population. A cross-sectional study was performed on a random representative sample of 2233 adults assigned to a health center in Málaga, Spain. The metabolic phenotypes were determined based on body mass index (BMI) categorization and the presence or absence of two or more cardiometabolic abnormalities (high blood pressure, low high-density lipoprotein (HDL) cholesterol, hypertriglyceridemia, pre-diabetes) or type 2 diabetes. No difference was observed between metabolically healthy and metabolically abnormal phenotypes on LFT. The mean FLI of the population was 41.1 ± 28.6. FLI was significantly higher (
< 0.001) in the metabolically abnormal phenotypes in all BMI categories. The proportion of individuals with pathological FLI (≥60) was significantly higher in the metabolically abnormal overweight and obese phenotypes (
< 0.001). On a multivariate model adjusted for sex, age, and waist circumference, a significant correlation was found between pathological FLI and metabolically abnormal phenotypes in the overweight and obese BMI categories. Area under the curve (AUC) of FLI as a biomarker was 0.76, 0.74, and 0.72 for the metabolically abnormal normal-weight, overweight, and obese groups, respectively. Liver biochemistry is poorly correlated with metabolic phenotypes. Conversely, a good correlation between FLI, as a marker of non-alcoholic fatty liver disease (NAFLD), and metabolically abnormal phenotypes in all BMI ranges was found. Our study suggests that FLI may be a useful marker for characterizing metabolically abnormal phenotypes in individuals who are overweight or obese.</description><subject>Abnormalities</subject><subject>Biobanks</subject><subject>Biomarkers</subject><subject>Blood pressure</subject><subject>Body mass</subject><subject>Body mass index</subject><subject>Body size</subject><subject>Body weight</subject><subject>Cholesterol</subject><subject>Classification</subject><subject>Correlation</subject><subject>Diabetes</subject><subject>Diabetes mellitus</subject><subject>Diabetes mellitus (non-insulin dependent)</subject><subject>Fatty acids</subject><subject>Fatty liver</subject><subject>Health care</subject><subject>Health care facilities</subject><subject>High density lipoprotein</subject><subject>Hypertension</subject><subject>Hypertriglyceridemia</subject><subject>Liver</subject><subject>Liver diseases</subject><subject>Metabolism</subject><subject>Obesity</subject><subject>Phenotypes</subject><subject>Population</subject><subject>Population studies</subject><subject>Triglycerides</subject><subject>Variables</subject><subject>Variance analysis</subject><issn>1660-4601</issn><issn>1661-7827</issn><issn>1660-4601</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNpdkc1vGyEQxVHVqkncXnuskHrpxemw7BeXSpVVJ5EcNYfkjFh2iLHWsAXWivvXF8tJlOQE0vvxmDePkC8MzjkX8MNuMIxr1jDgFWvfkVNW1zAva2DvX9xPyFmMGwDelrX4SE54UZa8rPgp2d0lO9i0p97Qld1hoMvJ6WS9o7cYU6TK9XSpUiaO8pXr8YEmTxcq4b0P9h_Sa0yq84PV9GaNzqf9iJFaR1VWepswBOVQOXrjx2lQB_NP5INRQ8TPj-eM3C1_3y4u56s_F1eLX6u5Llmb5r0RLSojqrYQUDRGIwowHTSdakTBwBRVX_QaGagGNOuEFkYrZkoGUFRM8xn5efQdp26LmXQpqEGOwW5V2EuvrHytOLuW934nm6LJP9TZ4PujQfB_p7wRubVR4zDkRH6Ksiih5lCxvP8Z-fYG3fgpuBzvQFWC8dxEps6PlA4-xoDmeRgG8lCpfF1pfvD1ZYRn_KlD_h8nN5_j</recordid><startdate>20200518</startdate><enddate>20200518</enddate><creator>Narankiewicz, Dariusz</creator><creator>Ruiz-Nava, Josefina</creator><creator>Buonaiuto, Veronica</creator><creator>Ruiz-Moreno, María Isabel</creator><creator>López-Carmona, María Dolores</creator><creator>Pérez-Belmonte, Luis Miguel</creator><creator>Gómez-Huelgas, Ricardo</creator><creator>Bernal-López, María Rosa</creator><general>MDPI AG</general><general>MDPI</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-9333-076X</orcidid></search><sort><creationdate>20200518</creationdate><title>Utility of Liver Function Tests and Fatty Liver Index to Categorize Metabolic Phenotypes in a Mediterranean Population</title><author>Narankiewicz, Dariusz ; 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A cross-sectional study was performed on a random representative sample of 2233 adults assigned to a health center in Málaga, Spain. The metabolic phenotypes were determined based on body mass index (BMI) categorization and the presence or absence of two or more cardiometabolic abnormalities (high blood pressure, low high-density lipoprotein (HDL) cholesterol, hypertriglyceridemia, pre-diabetes) or type 2 diabetes. No difference was observed between metabolically healthy and metabolically abnormal phenotypes on LFT. The mean FLI of the population was 41.1 ± 28.6. FLI was significantly higher (
< 0.001) in the metabolically abnormal phenotypes in all BMI categories. The proportion of individuals with pathological FLI (≥60) was significantly higher in the metabolically abnormal overweight and obese phenotypes (
< 0.001). On a multivariate model adjusted for sex, age, and waist circumference, a significant correlation was found between pathological FLI and metabolically abnormal phenotypes in the overweight and obese BMI categories. Area under the curve (AUC) of FLI as a biomarker was 0.76, 0.74, and 0.72 for the metabolically abnormal normal-weight, overweight, and obese groups, respectively. Liver biochemistry is poorly correlated with metabolic phenotypes. Conversely, a good correlation between FLI, as a marker of non-alcoholic fatty liver disease (NAFLD), and metabolically abnormal phenotypes in all BMI ranges was found. Our study suggests that FLI may be a useful marker for characterizing metabolically abnormal phenotypes in individuals who are overweight or obese.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>32443453</pmid><doi>10.3390/ijerph17103518</doi><orcidid>https://orcid.org/0000-0001-9333-076X</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Abnormalities Biobanks Biomarkers Blood pressure Body mass Body mass index Body size Body weight Cholesterol Classification Correlation Diabetes Diabetes mellitus Diabetes mellitus (non-insulin dependent) Fatty acids Fatty liver Health care Health care facilities High density lipoprotein Hypertension Hypertriglyceridemia Liver Liver diseases Metabolism Obesity Phenotypes Population Population studies Triglycerides Variables Variance analysis |
| title | Utility of Liver Function Tests and Fatty Liver Index to Categorize Metabolic Phenotypes in a Mediterranean Population |
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