Association between progranulin serum levels and dietary intake
Progranulin (PGRN) is secreted by adipose tissue and has been linked to obesity, insulin resistance and type 2 diabetes mellitus. There is evidence that a high fat diet increases PGRN expression in rodent adipose tissue. In humans, the relationship between diet composition and concentration of PGRN...
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description | Progranulin (PGRN) is secreted by adipose tissue and has been linked to obesity, insulin resistance and type 2 diabetes mellitus. There is evidence that a high fat diet increases PGRN expression in rodent adipose tissue. In humans, the relationship between diet composition and concentration of PGRN is still unknown.
To investigate the association between dietary intake and serum PGRN levels.
This is an exploratory cross-sectional study including 85 subjects. Demographic, clinical, laboratory and anthropometric data were collected. Serum PGRN was determined by enzyme-linked immunosorbent assay after overnight fasting. Dietary intake was assessed by food frequency questionnaire validated for Brazilian southern population. Focused principal component analyses (FPCA) was used to verify the association of dietary components and food groups with PGRN levels. Sensitivity analyses were performed including only subjects with reporting according to the Goldberg and Black cut-offs of energy intake-energy expenditure ratio between 0.76 and 1.24.
The median PGRN was 51.96 (42.18 to 68.30) ng/mL. Analyzing all sample, the FPCA showed no association of serum PGRN with total energy, protein, carbohydrate, fat and its types, fiber intake and dietary glycemic index; but a significant and positive association between solid fats and PGRN levels (p |
doi_str_mv | 10.1371/journal.pone.0202149 |
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To investigate the association between dietary intake and serum PGRN levels.
This is an exploratory cross-sectional study including 85 subjects. Demographic, clinical, laboratory and anthropometric data were collected. Serum PGRN was determined by enzyme-linked immunosorbent assay after overnight fasting. Dietary intake was assessed by food frequency questionnaire validated for Brazilian southern population. Focused principal component analyses (FPCA) was used to verify the association of dietary components and food groups with PGRN levels. Sensitivity analyses were performed including only subjects with reporting according to the Goldberg and Black cut-offs of energy intake-energy expenditure ratio between 0.76 and 1.24.
The median PGRN was 51.96 (42.18 to 68.30) ng/mL. Analyzing all sample, the FPCA showed no association of serum PGRN with total energy, protein, carbohydrate, fat and its types, fiber intake and dietary glycemic index; but a significant and positive association between solid fats and PGRN levels (p<0.05). Including only subjects with reporting according cut-off of energy intake-energy expenditure ratio between 0.76 and 1.24, FCPA showed significant and positive association of serum PGRN with saturated fatty acids and solid fats intake (p<0.05). In this subgroup, PGRN correlated with saturated fatty acids (r = 0.341; p = 0.031). Solid fats intake was independently associated to serum PGRN (beta = 0.294; p = 0.004) in multivariate model.
The dietary intake of solid fats, mainly represented by saturated fatty acids, is associated to serum PGRN concentration in human subjects.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0202149</identifier><identifier>PMID: 30118483</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adipose tissue ; Aged ; Anthropometry ; Biology and Life Sciences ; Biomarkers ; Brazil - epidemiology ; Carbohydrates ; Cardiovascular disease ; Cholesterol ; Cross-Sectional Studies ; Demographics ; Diabetes ; Diabetes mellitus ; Diabetes mellitus (non-insulin dependent) ; Diabetes Mellitus, Type 2 - blood ; Diabetes Mellitus, Type 2 - epidemiology ; Diet ; Dietary intake ; Endocrinology ; Energy expenditure ; Energy intake ; Enzyme-linked immunosorbent assay ; Fasting ; Fats ; Fatty Acids ; Female ; Food ; Food groups ; Food intake ; Growth factors ; High fat diet ; Humans ; Hypertension - blood ; Hypertension - epidemiology ; Insulin ; Kidney diseases ; Male ; Medicine and Health Sciences ; Metabolism ; Middle Aged ; Nutrition research ; Obesity ; Physical Sciences ; Principal Component Analysis ; Principal components analysis ; Probiotics ; Progranulins - blood ; Proteins ; Public Health Surveillance ; Sensitivity analysis ; Serum levels ; Studies ; Subgroups ; Weight control</subject><ispartof>PloS one, 2018-08, Vol.13 (8), p.e0202149-e0202149</ispartof><rights>2018 Nicoletto et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2018 Nicoletto et al 2018 Nicoletto et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c592t-ecaecbc42760c758f2ac7fc24f89721367bb5251a55f9ca87b54b408095bd72f3</citedby><cites>FETCH-LOGICAL-c592t-ecaecbc42760c758f2ac7fc24f89721367bb5251a55f9ca87b54b408095bd72f3</cites><orcidid>0000-0001-9378-1130</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/PMC6097684/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6097684/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,315,729,782,786,866,887,2106,2932,23875,27933,27934,53800,53802</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30118483$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Loor, Juan J</contributor><creatorcontrib>Nicoletto, Bruna Bellincanta</creatorcontrib><creatorcontrib>Sarmento, Roberta Aguiar</creatorcontrib><creatorcontrib>Pedrollo, Elis Forcellini</creatorcontrib><creatorcontrib>Krolikowski, Thaiana Cirino</creatorcontrib><creatorcontrib>Canani, Luis Henrique</creatorcontrib><title>Association between progranulin serum levels and dietary intake</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Progranulin (PGRN) is secreted by adipose tissue and has been linked to obesity, insulin resistance and type 2 diabetes mellitus. There is evidence that a high fat diet increases PGRN expression in rodent adipose tissue. In humans, the relationship between diet composition and concentration of PGRN is still unknown.
To investigate the association between dietary intake and serum PGRN levels.
This is an exploratory cross-sectional study including 85 subjects. Demographic, clinical, laboratory and anthropometric data were collected. Serum PGRN was determined by enzyme-linked immunosorbent assay after overnight fasting. Dietary intake was assessed by food frequency questionnaire validated for Brazilian southern population. Focused principal component analyses (FPCA) was used to verify the association of dietary components and food groups with PGRN levels. Sensitivity analyses were performed including only subjects with reporting according to the Goldberg and Black cut-offs of energy intake-energy expenditure ratio between 0.76 and 1.24.
The median PGRN was 51.96 (42.18 to 68.30) ng/mL. Analyzing all sample, the FPCA showed no association of serum PGRN with total energy, protein, carbohydrate, fat and its types, fiber intake and dietary glycemic index; but a significant and positive association between solid fats and PGRN levels (p<0.05). Including only subjects with reporting according cut-off of energy intake-energy expenditure ratio between 0.76 and 1.24, FCPA showed significant and positive association of serum PGRN with saturated fatty acids and solid fats intake (p<0.05). In this subgroup, PGRN correlated with saturated fatty acids (r = 0.341; p = 0.031). Solid fats intake was independently associated to serum PGRN (beta = 0.294; p = 0.004) in multivariate model.
The dietary intake of solid fats, mainly represented by saturated fatty acids, is associated to serum PGRN concentration in human subjects.</description><subject>Adipose tissue</subject><subject>Aged</subject><subject>Anthropometry</subject><subject>Biology and Life Sciences</subject><subject>Biomarkers</subject><subject>Brazil - epidemiology</subject><subject>Carbohydrates</subject><subject>Cardiovascular disease</subject><subject>Cholesterol</subject><subject>Cross-Sectional Studies</subject><subject>Demographics</subject><subject>Diabetes</subject><subject>Diabetes mellitus</subject><subject>Diabetes mellitus (non-insulin dependent)</subject><subject>Diabetes Mellitus, Type 2 - blood</subject><subject>Diabetes Mellitus, Type 2 - epidemiology</subject><subject>Diet</subject><subject>Dietary intake</subject><subject>Endocrinology</subject><subject>Energy expenditure</subject><subject>Energy intake</subject><subject>Enzyme-linked immunosorbent assay</subject><subject>Fasting</subject><subject>Fats</subject><subject>Fatty Acids</subject><subject>Female</subject><subject>Food</subject><subject>Food groups</subject><subject>Food intake</subject><subject>Growth factors</subject><subject>High fat diet</subject><subject>Humans</subject><subject>Hypertension - blood</subject><subject>Hypertension - epidemiology</subject><subject>Insulin</subject><subject>Kidney diseases</subject><subject>Male</subject><subject>Medicine and Health Sciences</subject><subject>Metabolism</subject><subject>Middle Aged</subject><subject>Nutrition research</subject><subject>Obesity</subject><subject>Physical Sciences</subject><subject>Principal Component Analysis</subject><subject>Principal components analysis</subject><subject>Probiotics</subject><subject>Progranulins - blood</subject><subject>Proteins</subject><subject>Public Health Surveillance</subject><subject>Sensitivity analysis</subject><subject>Serum levels</subject><subject>Studies</subject><subject>Subgroups</subject><subject>Weight control</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNptUk1vEzEUtBAVLYF_gGAlLr0k-PvjQlVVBSpV4gJny-t9GxwcO9i7Rfx7Ns22aque3tPzzHhGGoTeEbwiTJFPmzyW5OJqlxOsMMWUcPMCnRDD6FJSzF4-2I_R61o3GAumpXyFjhkmRHPNTtDZea3ZBzeEnJoWhr8AqdmVvC4ujTGkpkIZt02EG4i1calrugCDK_-akAb3G96go97FCm_nuUA_v1z-uPi2vP7-9eri_HrphaHDErwD33pOlcReCd1T51XvKe-1UZQwqdpWUEGcEL3xTqtW8JZjjY1oO0V7tkAfDrq7mKuds1dLscFcCibkhLg6ILrsNnZXwnZyabML9vaQy9q6MgQfwfZcKGOMwJQJzg0zwgMooTptOi6nwwJ9nn8b2y10HtJQXHwk-vglhV92nW-sxEZJzSeB01mg5D8j1MFuQ_UQo0uQx71vbfRkWtIJ-vEJ9Pl0_IDyJddaoL83Q7Dd9-GOZfd9sHMfJtr7h0HuSXcFYP8BDjqy7Q</recordid><startdate>20180817</startdate><enddate>20180817</enddate><creator>Nicoletto, Bruna Bellincanta</creator><creator>Sarmento, Roberta Aguiar</creator><creator>Pedrollo, Elis Forcellini</creator><creator>Krolikowski, Thaiana Cirino</creator><creator>Canani, Luis Henrique</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-9378-1130</orcidid></search><sort><creationdate>20180817</creationdate><title>Association between progranulin serum levels and dietary intake</title><author>Nicoletto, Bruna Bellincanta ; Sarmento, Roberta Aguiar ; Pedrollo, Elis Forcellini ; Krolikowski, Thaiana Cirino ; Canani, Luis Henrique</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c592t-ecaecbc42760c758f2ac7fc24f89721367bb5251a55f9ca87b54b408095bd72f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Adipose tissue</topic><topic>Aged</topic><topic>Anthropometry</topic><topic>Biology and Life Sciences</topic><topic>Biomarkers</topic><topic>Brazil - epidemiology</topic><topic>Carbohydrates</topic><topic>Cardiovascular disease</topic><topic>Cholesterol</topic><topic>Cross-Sectional Studies</topic><topic>Demographics</topic><topic>Diabetes</topic><topic>Diabetes mellitus</topic><topic>Diabetes mellitus (non-insulin dependent)</topic><topic>Diabetes Mellitus, Type 2 - blood</topic><topic>Diabetes Mellitus, Type 2 - epidemiology</topic><topic>Diet</topic><topic>Dietary intake</topic><topic>Endocrinology</topic><topic>Energy expenditure</topic><topic>Energy intake</topic><topic>Enzyme-linked immunosorbent assay</topic><topic>Fasting</topic><topic>Fats</topic><topic>Fatty Acids</topic><topic>Female</topic><topic>Food</topic><topic>Food groups</topic><topic>Food intake</topic><topic>Growth factors</topic><topic>High fat diet</topic><topic>Humans</topic><topic>Hypertension - blood</topic><topic>Hypertension - epidemiology</topic><topic>Insulin</topic><topic>Kidney diseases</topic><topic>Male</topic><topic>Medicine and Health Sciences</topic><topic>Metabolism</topic><topic>Middle Aged</topic><topic>Nutrition research</topic><topic>Obesity</topic><topic>Physical Sciences</topic><topic>Principal Component Analysis</topic><topic>Principal components analysis</topic><topic>Probiotics</topic><topic>Progranulins - blood</topic><topic>Proteins</topic><topic>Public Health Surveillance</topic><topic>Sensitivity analysis</topic><topic>Serum levels</topic><topic>Studies</topic><topic>Subgroups</topic><topic>Weight control</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Nicoletto, Bruna Bellincanta</creatorcontrib><creatorcontrib>Sarmento, Roberta Aguiar</creatorcontrib><creatorcontrib>Pedrollo, Elis Forcellini</creatorcontrib><creatorcontrib>Krolikowski, Thaiana Cirino</creatorcontrib><creatorcontrib>Canani, Luis Henrique</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Nicoletto, Bruna Bellincanta</au><au>Sarmento, Roberta Aguiar</au><au>Pedrollo, Elis Forcellini</au><au>Krolikowski, Thaiana Cirino</au><au>Canani, Luis Henrique</au><au>Loor, Juan J</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Association between progranulin serum levels and dietary intake</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2018-08-17</date><risdate>2018</risdate><volume>13</volume><issue>8</issue><spage>e0202149</spage><epage>e0202149</epage><pages>e0202149-e0202149</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Progranulin (PGRN) is secreted by adipose tissue and has been linked to obesity, insulin resistance and type 2 diabetes mellitus. There is evidence that a high fat diet increases PGRN expression in rodent adipose tissue. In humans, the relationship between diet composition and concentration of PGRN is still unknown.
To investigate the association between dietary intake and serum PGRN levels.
This is an exploratory cross-sectional study including 85 subjects. Demographic, clinical, laboratory and anthropometric data were collected. Serum PGRN was determined by enzyme-linked immunosorbent assay after overnight fasting. Dietary intake was assessed by food frequency questionnaire validated for Brazilian southern population. Focused principal component analyses (FPCA) was used to verify the association of dietary components and food groups with PGRN levels. Sensitivity analyses were performed including only subjects with reporting according to the Goldberg and Black cut-offs of energy intake-energy expenditure ratio between 0.76 and 1.24.
The median PGRN was 51.96 (42.18 to 68.30) ng/mL. Analyzing all sample, the FPCA showed no association of serum PGRN with total energy, protein, carbohydrate, fat and its types, fiber intake and dietary glycemic index; but a significant and positive association between solid fats and PGRN levels (p<0.05). Including only subjects with reporting according cut-off of energy intake-energy expenditure ratio between 0.76 and 1.24, FCPA showed significant and positive association of serum PGRN with saturated fatty acids and solid fats intake (p<0.05). In this subgroup, PGRN correlated with saturated fatty acids (r = 0.341; p = 0.031). Solid fats intake was independently associated to serum PGRN (beta = 0.294; p = 0.004) in multivariate model.
The dietary intake of solid fats, mainly represented by saturated fatty acids, is associated to serum PGRN concentration in human subjects.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>30118483</pmid><doi>10.1371/journal.pone.0202149</doi><orcidid>https://orcid.org/0000-0001-9378-1130</orcidid><oa>free_for_read</oa></addata></record> |
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source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Public Library of Science (PLoS) Journals Open Access; PubMed Central; Free Full-Text Journals in Chemistry |
subjects | Adipose tissue Aged Anthropometry Biology and Life Sciences Biomarkers Brazil - epidemiology Carbohydrates Cardiovascular disease Cholesterol Cross-Sectional Studies Demographics Diabetes Diabetes mellitus Diabetes mellitus (non-insulin dependent) Diabetes Mellitus, Type 2 - blood Diabetes Mellitus, Type 2 - epidemiology Diet Dietary intake Endocrinology Energy expenditure Energy intake Enzyme-linked immunosorbent assay Fasting Fats Fatty Acids Female Food Food groups Food intake Growth factors High fat diet Humans Hypertension - blood Hypertension - epidemiology Insulin Kidney diseases Male Medicine and Health Sciences Metabolism Middle Aged Nutrition research Obesity Physical Sciences Principal Component Analysis Principal components analysis Probiotics Progranulins - blood Proteins Public Health Surveillance Sensitivity analysis Serum levels Studies Subgroups Weight control |
title | Association between progranulin serum levels and dietary intake |
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