{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T20:51:04Z","timestamp":1790887864839,"version":"4.1.0"},"reference-count":67,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2023,11,12]],"date-time":"2023-11-12T00:00:00Z","timestamp":1699747200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":["dom-pubs.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Diabetes Obesity Metabolism"],"published-print":{"date-parts":[[2024,2]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Aim<\/jats:title>\n                    <jats:p>To examine the association between 1\u2010hour plasma glucose (PG) concentration and markers of non\u2010alcoholic fatty liver disease (NAFLD) assessed by transient elastography (TE).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We performed TE in 107 metabolically well\u2010characterized non\u2010diabetic White individuals. Controlled attenuation parameter (CAP) was used to quantify liver steatosis, while liver stiffness marker (LS) was used to evaluate fibrosis.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Controlled attenuation parameter correlated significantly with 1\u2010hour PG (\n                      <jats:italic>r<\/jats:italic>\n                      \u2009=\u20090.301,\n                      <jats:italic>P<\/jats:italic>\n                      \u2009&lt;\u20090.01), fasting insulin (\n                      <jats:italic>r<\/jats:italic>\n                      \u2009=\u20090.285,\n                      <jats:italic>P<\/jats:italic>\n                      \u2009&lt;\u20090.01), 2\u2010hour insulin (\n                      <jats:italic>r<\/jats:italic>\n                      \u2009=\u20090.257,\n                      <jats:italic>P<\/jats:italic>\n                      \u2009&lt;\u20090.02), homeostasis model assessment index of insulin resistance (\n                      <jats:italic>r<\/jats:italic>\n                      \u2009=\u20090.252,\n                      <jats:italic>P<\/jats:italic>\n                      \u2009&lt;\u20090.01), high\u2010density lipoprotein cholesterol (\n                      <jats:italic>r<\/jats:italic>\n                      \u2009=\u2009\u22120.252,\n                      <jats:italic>P<\/jats:italic>\n                      \u2009&lt;\u20090.02), body mass index (BMI;\n                      <jats:italic>r<\/jats:italic>\n                      \u2009=\u20090.248,\n                      <jats:italic>P<\/jats:italic>\n                      \u2009&lt;\u20090.02) and age (\n                      <jats:italic>r<\/jats:italic>\n                      \u2009=\u20090.212,\n                      <jats:italic>P<\/jats:italic>\n                      \u2009&lt;\u20090.03), after correction for age, sex and BMI. In a multivariable linear regression analysis, 1\u2010hour PG (\n                      <jats:italic>\u03b2<\/jats:italic>\n                      \u2009=\u20090.274,\n                      <jats:italic>P<\/jats:italic>\n                      \u2009=\u20090.008) and fasting insulin levels (\n                      <jats:italic>\u03b2<\/jats:italic>\n                      \u2009=\u20090.225,\n                      <jats:italic>P<\/jats:italic>\n                      \u2009=\u20090.029) were found to be independent predictors of CAP. After excluding subjects with prediabetes, 1\u2010hour PG was the sole predictor of CAP variation (\n                      <jats:italic>\u03b2<\/jats:italic>\n                      \u2009=\u20090.442,\n                      <jats:italic>P<\/jats:italic>\n                      \u2009&lt;\u20090.001). In a logistic regression model, we observed that the group with 1\u2010hour PG\u2009\u2265\u2009 8.6 mmol\/L (155\u2009mg\/dL) had a significantly higher risk of steatosis (odds ratio\u20093.98, 95% confidence interval\u20091.43\u201011.13;\n                      <jats:italic>P<\/jats:italic>\n                      \u2009=\u20090.008) than individuals with 1\u2010hour PG\u2009&lt;\u2009 8.6 mmol\/L, after correction for potential confounders. No association was observed between 1\u2010hour PG and LS.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Our data confirm that 1\u2010hour PG\u2009\u2265\u2009 8.6 mmol\/L is associated with higher signs of NAFLD, even among individuals with normal glucose tolerance, categorized as low risk by canonical diagnostic standards. TE is a safe low\u2010impact approach that could be employed for stratifying the risk profile in these patients, with a high level of accuracy.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/dom.15358","type":"journal-article","created":{"date-parts":[[2023,11,13]],"date-time":"2023-11-13T01:46:47Z","timestamp":1699840007000},"page":"682-689","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["One\u2010hour post\u2010load glucose levels are associated with hepatic steatosis assessed by transient elastography"],"prefix":"10.1111","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9375-1513","authenticated-orcid":false,"given":"Francesco","family":"Andreozzi","sequence":"first","affiliation":[{"name":"Department of Medical and Surgical Sciences University Magna Gr\u00e6cia of Catanzaro  Catanzaro Italy"},{"name":"Research Centre for the Prevention and Treatment of Metabolic Diseases (CR METDIS) 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Sciences University Magna Gr\u00e6cia of Catanzaro  Catanzaro Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Angela","family":"Sciacqua","sequence":"additional","affiliation":[{"name":"Department of Medical and Surgical Sciences University Magna Gr\u00e6cia of Catanzaro  Catanzaro Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tiziana","family":"Montalcini","sequence":"additional","affiliation":[{"name":"Research Centre for the Prevention and Treatment of Metabolic Diseases (CR METDIS) University Magna Gr\u00e6cia of Catanzaro  Catanzaro Italy"},{"name":"Department of Clinical and Experimental Medicine University Magna Gre\u00e6cia of Catanzaro  Catanzaro Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Arturo","family":"Pujia","sequence":"additional","affiliation":[{"name":"Department of Medical and Surgical Sciences University Magna Gr\u00e6cia of Catanzaro  Catanzaro Italy"},{"name":"Research Centre for the 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