Serum Selenium and Lead Levels: a Possible Link with Diabetes and Associated Proteinuria
The study assessed trace element selenium (Se) and a heavy metal lead (Pb) in patients with type II diabetes mellitus (T2DM) and its associated proteinuria. Total 275 subjects aged between 30 and 90 years were studied: 93 T2DM, 98 T2DM with proteinuria, and 84 as controls. Serum Se and Pb were analy...
Gespeichert in:
Veröffentlicht in: | Biological trace element research 2020-02, Vol.193 (2), p.342-347 |
---|---|
Hauptverfasser: | , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 347 |
---|---|
container_issue | 2 |
container_start_page | 342 |
container_title | Biological trace element research |
container_volume | 193 |
creator | Aziz, Farah AlHazmi, Amani Aljameil, Noura Mahmood, Iram Tabassum, Hajera Mushfiq, Sakeena Hijazy, Serene |
description | The study assessed trace element selenium (Se) and a heavy metal lead (Pb) in patients with type II diabetes mellitus (T2DM) and its associated proteinuria. Total 275 subjects aged between 30 and 90 years were studied: 93 T2DM, 98 T2DM with proteinuria, and 84 as controls. Serum Se and Pb were analyzed by inductively coupled plasma optical emission spectrometer (ICP-OES) and other biochemical indices by ROCHE module COBAS 6000 analyzer. Statistical analysis was done by one-way analysis of variance (ANOVA) at
P
|
doi_str_mv | 10.1007/s12011-019-01721-7 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2211950679</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2211950679</sourcerecordid><originalsourceid>FETCH-LOGICAL-c375t-681672abacb94fe8dc963590b0b52bbf5f4489fa4c43b83357e573cc69c91fb3</originalsourceid><addsrcrecordid>eNp9kDtPwzAUhS0EglL4AwwoEgtLwM84ZkPlKVWiUhnYLNu9AUOaFDsB8e9xWx4SA4Pta93vHPsehA4IPiEYy9NIKCYkx0SlJSnJ5QYaECHSVVK8iQaYFCznquQ7aDfGZ7ykFNtGOyzpOZV0gB6mEPp5NoUaGp8K08yyMZjl9gZ1PMtMNmlj9LaGbOybl-zdd0_ZhTcWOogr_DzG1nnTwSybhLYD3_TBmz20VZk6wv7XOUT3V5f3o5t8fHd9Ozof545J0eVFSQpJjTXOKl5BOXOqYEJhi62g1lai4rxUleGOM1syJiQIyZwrlFOksmyIjte2i9C-9hA7PffRQV2bBto-akoJUQIXUiX06A_63PahSZ9bUbwseUETRdeUC2nuAJVeBD834UMTrJex63XsOsWuV7FrmUSHX9a9ncPsR_KdcwLYGoip1TxC-H37H9tPS1KL9g</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2211488462</pqid></control><display><type>article</type><title>Serum Selenium and Lead Levels: a Possible Link with Diabetes and Associated Proteinuria</title><source>MEDLINE</source><source>SpringerLink Journals - AutoHoldings</source><creator>Aziz, Farah ; AlHazmi, Amani ; Aljameil, Noura ; Mahmood, Iram ; Tabassum, Hajera ; Mushfiq, Sakeena ; Hijazy, Serene</creator><creatorcontrib>Aziz, Farah ; AlHazmi, Amani ; Aljameil, Noura ; Mahmood, Iram ; Tabassum, Hajera ; Mushfiq, Sakeena ; Hijazy, Serene</creatorcontrib><description>The study assessed trace element selenium (Se) and a heavy metal lead (Pb) in patients with type II diabetes mellitus (T2DM) and its associated proteinuria. Total 275 subjects aged between 30 and 90 years were studied: 93 T2DM, 98 T2DM with proteinuria, and 84 as controls. Serum Se and Pb were analyzed by inductively coupled plasma optical emission spectrometer (ICP-OES) and other biochemical indices by ROCHE module COBAS 6000 analyzer. Statistical analysis was done by one-way analysis of variance (ANOVA) at
P
< 0.0001 followed by Tukey’s honest test. Pearson’s correlation coefficient was applied to observe the effects of Se and Pb on FPG and ACR. Decreased Se levels were observed in T2DM and T2DM with proteinuria with no significant difference and serum Pb was found within reference range in both groups. Se showed no significant association with FBG and ACR while mid-upper tertile of Pb was significantly associated with ACR of T2DM with the proteinuria group (
P
< 0.01). Se is known to have a U-shaped relationship with T2DM. Low Se levels in both groups may be due to the effect of disease and its related inflammation. Detected levels of Pb suggest that studied population had lower exposure to it. Association of Pb with ACR showed consistency with the classical studies that even low levels of Pb may cause the renal deterioration.</description><identifier>ISSN: 0163-4984</identifier><identifier>EISSN: 1559-0720</identifier><identifier>DOI: 10.1007/s12011-019-01721-7</identifier><identifier>PMID: 31004272</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Adult ; Aged ; Analysis of Variance ; Biochemistry ; Biomedical and Life Sciences ; Biotechnology ; Blood Glucose - metabolism ; Correlation coefficient ; Correlation coefficients ; Creatinine - blood ; Diabetes ; Diabetes mellitus ; Diabetes Mellitus, Type 2 - blood ; Diabetes Mellitus, Type 2 - complications ; Emission analysis ; Fasting - blood ; Female ; Heavy metals ; Humans ; Inductively coupled plasma ; Lead ; Lead - blood ; Life Sciences ; Male ; Middle Aged ; Nutrition ; Oncology ; Population (statistical) ; Population studies ; Proteinuria ; Proteinuria - blood ; Proteinuria - complications ; Selenium ; Selenium - blood ; Serum ; Serum Albumin - metabolism ; Statistical analysis ; Statistical methods ; Trace elements ; Variance analysis</subject><ispartof>Biological trace element research, 2020-02, Vol.193 (2), p.342-347</ispartof><rights>Springer Science+Business Media, LLC, part of Springer Nature 2019</rights><rights>Biological Trace Element Research is a copyright of Springer, (2019). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c375t-681672abacb94fe8dc963590b0b52bbf5f4489fa4c43b83357e573cc69c91fb3</citedby><cites>FETCH-LOGICAL-c375t-681672abacb94fe8dc963590b0b52bbf5f4489fa4c43b83357e573cc69c91fb3</cites><orcidid>0000-0003-0572-0587</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s12011-019-01721-7$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s12011-019-01721-7$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31004272$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Aziz, Farah</creatorcontrib><creatorcontrib>AlHazmi, Amani</creatorcontrib><creatorcontrib>Aljameil, Noura</creatorcontrib><creatorcontrib>Mahmood, Iram</creatorcontrib><creatorcontrib>Tabassum, Hajera</creatorcontrib><creatorcontrib>Mushfiq, Sakeena</creatorcontrib><creatorcontrib>Hijazy, Serene</creatorcontrib><title>Serum Selenium and Lead Levels: a Possible Link with Diabetes and Associated Proteinuria</title><title>Biological trace element research</title><addtitle>Biol Trace Elem Res</addtitle><addtitle>Biol Trace Elem Res</addtitle><description>The study assessed trace element selenium (Se) and a heavy metal lead (Pb) in patients with type II diabetes mellitus (T2DM) and its associated proteinuria. Total 275 subjects aged between 30 and 90 years were studied: 93 T2DM, 98 T2DM with proteinuria, and 84 as controls. Serum Se and Pb were analyzed by inductively coupled plasma optical emission spectrometer (ICP-OES) and other biochemical indices by ROCHE module COBAS 6000 analyzer. Statistical analysis was done by one-way analysis of variance (ANOVA) at
P
< 0.0001 followed by Tukey’s honest test. Pearson’s correlation coefficient was applied to observe the effects of Se and Pb on FPG and ACR. Decreased Se levels were observed in T2DM and T2DM with proteinuria with no significant difference and serum Pb was found within reference range in both groups. Se showed no significant association with FBG and ACR while mid-upper tertile of Pb was significantly associated with ACR of T2DM with the proteinuria group (
P
< 0.01). Se is known to have a U-shaped relationship with T2DM. Low Se levels in both groups may be due to the effect of disease and its related inflammation. Detected levels of Pb suggest that studied population had lower exposure to it. Association of Pb with ACR showed consistency with the classical studies that even low levels of Pb may cause the renal deterioration.</description><subject>Adult</subject><subject>Aged</subject><subject>Analysis of Variance</subject><subject>Biochemistry</subject><subject>Biomedical and Life Sciences</subject><subject>Biotechnology</subject><subject>Blood Glucose - metabolism</subject><subject>Correlation coefficient</subject><subject>Correlation coefficients</subject><subject>Creatinine - blood</subject><subject>Diabetes</subject><subject>Diabetes mellitus</subject><subject>Diabetes Mellitus, Type 2 - blood</subject><subject>Diabetes Mellitus, Type 2 - complications</subject><subject>Emission analysis</subject><subject>Fasting - blood</subject><subject>Female</subject><subject>Heavy metals</subject><subject>Humans</subject><subject>Inductively coupled plasma</subject><subject>Lead</subject><subject>Lead - blood</subject><subject>Life Sciences</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Nutrition</subject><subject>Oncology</subject><subject>Population (statistical)</subject><subject>Population studies</subject><subject>Proteinuria</subject><subject>Proteinuria - blood</subject><subject>Proteinuria - complications</subject><subject>Selenium</subject><subject>Selenium - blood</subject><subject>Serum</subject><subject>Serum Albumin - metabolism</subject><subject>Statistical analysis</subject><subject>Statistical methods</subject><subject>Trace elements</subject><subject>Variance analysis</subject><issn>0163-4984</issn><issn>1559-0720</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNp9kDtPwzAUhS0EglL4AwwoEgtLwM84ZkPlKVWiUhnYLNu9AUOaFDsB8e9xWx4SA4Pta93vHPsehA4IPiEYy9NIKCYkx0SlJSnJ5QYaECHSVVK8iQaYFCznquQ7aDfGZ7ykFNtGOyzpOZV0gB6mEPp5NoUaGp8K08yyMZjl9gZ1PMtMNmlj9LaGbOybl-zdd0_ZhTcWOogr_DzG1nnTwSybhLYD3_TBmz20VZk6wv7XOUT3V5f3o5t8fHd9Ozof545J0eVFSQpJjTXOKl5BOXOqYEJhi62g1lai4rxUleGOM1syJiQIyZwrlFOksmyIjte2i9C-9hA7PffRQV2bBto-akoJUQIXUiX06A_63PahSZ9bUbwseUETRdeUC2nuAJVeBD834UMTrJex63XsOsWuV7FrmUSHX9a9ncPsR_KdcwLYGoip1TxC-H37H9tPS1KL9g</recordid><startdate>20200201</startdate><enddate>20200201</enddate><creator>Aziz, Farah</creator><creator>AlHazmi, Amani</creator><creator>Aljameil, Noura</creator><creator>Mahmood, Iram</creator><creator>Tabassum, Hajera</creator><creator>Mushfiq, Sakeena</creator><creator>Hijazy, Serene</creator><general>Springer US</general><general>Springer Nature B.V</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>7QH</scope><scope>7QP</scope><scope>7TN</scope><scope>7U7</scope><scope>7UA</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>88I</scope><scope>8AO</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H97</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>L.G</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7P</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-0572-0587</orcidid></search><sort><creationdate>20200201</creationdate><title>Serum Selenium and Lead Levels: a Possible Link with Diabetes and Associated Proteinuria</title><author>Aziz, Farah ; AlHazmi, Amani ; Aljameil, Noura ; Mahmood, Iram ; Tabassum, Hajera ; Mushfiq, Sakeena ; Hijazy, Serene</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c375t-681672abacb94fe8dc963590b0b52bbf5f4489fa4c43b83357e573cc69c91fb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Analysis of Variance</topic><topic>Biochemistry</topic><topic>Biomedical and Life Sciences</topic><topic>Biotechnology</topic><topic>Blood Glucose - metabolism</topic><topic>Correlation coefficient</topic><topic>Correlation coefficients</topic><topic>Creatinine - blood</topic><topic>Diabetes</topic><topic>Diabetes mellitus</topic><topic>Diabetes Mellitus, Type 2 - blood</topic><topic>Diabetes Mellitus, Type 2 - complications</topic><topic>Emission analysis</topic><topic>Fasting - blood</topic><topic>Female</topic><topic>Heavy metals</topic><topic>Humans</topic><topic>Inductively coupled plasma</topic><topic>Lead</topic><topic>Lead - blood</topic><topic>Life Sciences</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Nutrition</topic><topic>Oncology</topic><topic>Population (statistical)</topic><topic>Population studies</topic><topic>Proteinuria</topic><topic>Proteinuria - blood</topic><topic>Proteinuria - complications</topic><topic>Selenium</topic><topic>Selenium - blood</topic><topic>Serum</topic><topic>Serum Albumin - metabolism</topic><topic>Statistical analysis</topic><topic>Statistical methods</topic><topic>Trace elements</topic><topic>Variance analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Aziz, Farah</creatorcontrib><creatorcontrib>AlHazmi, Amani</creatorcontrib><creatorcontrib>Aljameil, Noura</creatorcontrib><creatorcontrib>Mahmood, Iram</creatorcontrib><creatorcontrib>Tabassum, Hajera</creatorcontrib><creatorcontrib>Mushfiq, Sakeena</creatorcontrib><creatorcontrib>Hijazy, Serene</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>Aqualine</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>ProQuest SciTech 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>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science Database</collection><collection>Biological Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>Biological trace element research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Aziz, Farah</au><au>AlHazmi, Amani</au><au>Aljameil, Noura</au><au>Mahmood, Iram</au><au>Tabassum, Hajera</au><au>Mushfiq, Sakeena</au><au>Hijazy, Serene</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Serum Selenium and Lead Levels: a Possible Link with Diabetes and Associated Proteinuria</atitle><jtitle>Biological trace element research</jtitle><stitle>Biol Trace Elem Res</stitle><addtitle>Biol Trace Elem Res</addtitle><date>2020-02-01</date><risdate>2020</risdate><volume>193</volume><issue>2</issue><spage>342</spage><epage>347</epage><pages>342-347</pages><issn>0163-4984</issn><eissn>1559-0720</eissn><abstract>The study assessed trace element selenium (Se) and a heavy metal lead (Pb) in patients with type II diabetes mellitus (T2DM) and its associated proteinuria. Total 275 subjects aged between 30 and 90 years were studied: 93 T2DM, 98 T2DM with proteinuria, and 84 as controls. Serum Se and Pb were analyzed by inductively coupled plasma optical emission spectrometer (ICP-OES) and other biochemical indices by ROCHE module COBAS 6000 analyzer. Statistical analysis was done by one-way analysis of variance (ANOVA) at
P
< 0.0001 followed by Tukey’s honest test. Pearson’s correlation coefficient was applied to observe the effects of Se and Pb on FPG and ACR. Decreased Se levels were observed in T2DM and T2DM with proteinuria with no significant difference and serum Pb was found within reference range in both groups. Se showed no significant association with FBG and ACR while mid-upper tertile of Pb was significantly associated with ACR of T2DM with the proteinuria group (
P
< 0.01). Se is known to have a U-shaped relationship with T2DM. Low Se levels in both groups may be due to the effect of disease and its related inflammation. Detected levels of Pb suggest that studied population had lower exposure to it. Association of Pb with ACR showed consistency with the classical studies that even low levels of Pb may cause the renal deterioration.</abstract><cop>New York</cop><pub>Springer US</pub><pmid>31004272</pmid><doi>10.1007/s12011-019-01721-7</doi><tpages>6</tpages><orcidid>https://orcid.org/0000-0003-0572-0587</orcidid></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0163-4984 |
ispartof | Biological trace element research, 2020-02, Vol.193 (2), p.342-347 |
issn | 0163-4984 1559-0720 |
language | eng |
recordid | cdi_proquest_miscellaneous_2211950679 |
source | MEDLINE; SpringerLink Journals - AutoHoldings |
subjects | Adult Aged Analysis of Variance Biochemistry Biomedical and Life Sciences Biotechnology Blood Glucose - metabolism Correlation coefficient Correlation coefficients Creatinine - blood Diabetes Diabetes mellitus Diabetes Mellitus, Type 2 - blood Diabetes Mellitus, Type 2 - complications Emission analysis Fasting - blood Female Heavy metals Humans Inductively coupled plasma Lead Lead - blood Life Sciences Male Middle Aged Nutrition Oncology Population (statistical) Population studies Proteinuria Proteinuria - blood Proteinuria - complications Selenium Selenium - blood Serum Serum Albumin - metabolism Statistical analysis Statistical methods Trace elements Variance analysis |
title | Serum Selenium and Lead Levels: a Possible Link with Diabetes and Associated Proteinuria |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-03T13%3A00%3A02IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Serum%20Selenium%20and%20Lead%20Levels:%20a%20Possible%20Link%20with%20Diabetes%20and%20Associated%20Proteinuria&rft.jtitle=Biological%20trace%20element%20research&rft.au=Aziz,%20Farah&rft.date=2020-02-01&rft.volume=193&rft.issue=2&rft.spage=342&rft.epage=347&rft.pages=342-347&rft.issn=0163-4984&rft.eissn=1559-0720&rft_id=info:doi/10.1007/s12011-019-01721-7&rft_dat=%3Cproquest_cross%3E2211950679%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2211488462&rft_id=info:pmid/31004272&rfr_iscdi=true |