Individualized correction of insulin measurement in hemolyzed serum samples
Insulin measurement plays a key role in the investigation of patients with hypoglycemia, subtype classification of diabetes mellitus, insulin resistance, and impaired beta cell function. However, even slight hemolysis can negatively affect insulin measurement due to RBC insulin-degrading enzyme (IDE...
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| Veröffentlicht in: | Immunologic research 2017-06, Vol.65 (3), p.605-608 |
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| creator | Wu, Zhi-Qi Lu, Ju Chen, Huanhuan Chen, Wensen Xu, Hua-Guo |
| description | Insulin measurement plays a key role in the investigation of patients with hypoglycemia, subtype classification of diabetes mellitus, insulin resistance, and impaired beta cell function. However, even slight hemolysis can negatively affect insulin measurement due to RBC insulin-degrading enzyme (IDE). Here, we derived and validated an individualized correction equation in an attempt to eliminate the effects of hemolysis on insulin measurement. The effects of hemolysis on insulin measurement were studied by adding lysed self-RBCs to serum. A correction equation was derived, accounting for both percentage and exposure time of hemolysis. The performance of this individualized correction was evaluated in intentionally hemolyzed samples. Insulin concentration decreased with increasing percentage and exposure time of hemolysis. Based on the effects of hemolysis on insulin measurement of 17 donors (baseline insulin concentrations ranged from 156 to 2119 pmol/L), the individualized hemolysis correction equation was derived: INS
corr
= INS
meas
/(0.705lgHb
plasma
/Hb
serum
− 0.001Time − 0.612). This equation can revert insulin concentrations of the intentionally hemolyzed samples to values that were statistically not different from the corresponding insulin baseline concentrations (
p
= 0.1564). Hemolysis could lead to a negative interference on insulin measurement; by individualized hemolysis correction equation for insulin measurement, we can correct and report reliable serum insulin results for a wide range of degrees of sample hemolysis. This correction would increase diagnostic accuracy, reduce inappropriate therapeutic decisions, and improve patient satisfaction with care. |
| doi_str_mv | 10.1007/s12026-016-8878-7 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1837025584</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1901185392</sourcerecordid><originalsourceid>FETCH-LOGICAL-c372t-2fd70674a5377737036286873e4ff51e62bd1c48c8ee838431f35ef4ba3d551e3</originalsourceid><addsrcrecordid>eNp1kMtKAzEUhoMotlYfwI0MuHETzWUyJ7OU4qVYcKPgLqQzJzplLjXpCPXpTZkqIrg6kPP9_wkfIaecXXLG4CpwwURGGc-o1qAp7JExVyqnDJTaJ2MmFFAB8DIiRyEsWQTTVB6SkQDNgaf5mDzM2rL6qMre1tUnlknReY_FuurapHNJ1Ya-rtqkQRt6jw226_iWvGHT1ZstHtD3TRJss6oxHJMDZ-uAJ7s5Ic-3N0_Tezp_vJtNr-e0kCDWVLgSWAapVRIAJDCZCZ1pkJg6pzhmYlHyItWFRtRSp5I7qdClCytLFfdyQi6G3pXv3nsMa9NUocC6ti12fTBcx1KhVIxOyPkfdNn1vo2_MzxnnGslcxEpPlCF70Lw6MzKV431G8OZ2Zo2g2kTBZqtaQMxc7Zr7hcNlj-Jb7UREAMQ4qp9Rf_r9L-tX5YdiHU</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1901185392</pqid></control><display><type>article</type><title>Individualized correction of insulin measurement in hemolyzed serum samples</title><source>MEDLINE</source><source>SpringerLink Journals - AutoHoldings</source><creator>Wu, Zhi-Qi ; Lu, Ju ; Chen, Huanhuan ; Chen, Wensen ; Xu, Hua-Guo</creator><creatorcontrib>Wu, Zhi-Qi ; Lu, Ju ; Chen, Huanhuan ; Chen, Wensen ; Xu, Hua-Guo</creatorcontrib><description>Insulin measurement plays a key role in the investigation of patients with hypoglycemia, subtype classification of diabetes mellitus, insulin resistance, and impaired beta cell function. However, even slight hemolysis can negatively affect insulin measurement due to RBC insulin-degrading enzyme (IDE). Here, we derived and validated an individualized correction equation in an attempt to eliminate the effects of hemolysis on insulin measurement. The effects of hemolysis on insulin measurement were studied by adding lysed self-RBCs to serum. A correction equation was derived, accounting for both percentage and exposure time of hemolysis. The performance of this individualized correction was evaluated in intentionally hemolyzed samples. Insulin concentration decreased with increasing percentage and exposure time of hemolysis. Based on the effects of hemolysis on insulin measurement of 17 donors (baseline insulin concentrations ranged from 156 to 2119 pmol/L), the individualized hemolysis correction equation was derived: INS
corr
= INS
meas
/(0.705lgHb
plasma
/Hb
serum
− 0.001Time − 0.612). This equation can revert insulin concentrations of the intentionally hemolyzed samples to values that were statistically not different from the corresponding insulin baseline concentrations (
p
= 0.1564). Hemolysis could lead to a negative interference on insulin measurement; by individualized hemolysis correction equation for insulin measurement, we can correct and report reliable serum insulin results for a wide range of degrees of sample hemolysis. This correction would increase diagnostic accuracy, reduce inappropriate therapeutic decisions, and improve patient satisfaction with care.</description><identifier>ISSN: 0257-277X</identifier><identifier>EISSN: 1559-0755</identifier><identifier>DOI: 10.1007/s12026-016-8878-7</identifier><identifier>PMID: 27817149</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Allergology ; Beta cells ; Biomedical and Life Sciences ; Biomedicine ; Diabetes mellitus ; Diabetes Mellitus - diagnosis ; Diagnostic Errors - prevention & control ; Diagnostic systems ; Erythrocytes - metabolism ; Erythrocytes - pathology ; Exposure ; Hemolysis ; Humans ; Hypoglycemia ; Hypoglycemia - diagnosis ; Immunology ; Insulin ; Insulin - blood ; Insulin resistance ; Insulysin ; Insulysin - metabolism ; Internal Medicine ; Medicine/Public Health ; Models, Theoretical ; Original Article ; Precision Medicine ; Reproducibility of Results ; Serum - metabolism ; Statistical analysis ; Statistical methods</subject><ispartof>Immunologic research, 2017-06, Vol.65 (3), p.605-608</ispartof><rights>Springer Science+Business Media New York 2016</rights><rights>Immunologic Research is a copyright of Springer, 2017.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c372t-2fd70674a5377737036286873e4ff51e62bd1c48c8ee838431f35ef4ba3d551e3</citedby><cites>FETCH-LOGICAL-c372t-2fd70674a5377737036286873e4ff51e62bd1c48c8ee838431f35ef4ba3d551e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s12026-016-8878-7$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s12026-016-8878-7$$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/27817149$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wu, Zhi-Qi</creatorcontrib><creatorcontrib>Lu, Ju</creatorcontrib><creatorcontrib>Chen, Huanhuan</creatorcontrib><creatorcontrib>Chen, Wensen</creatorcontrib><creatorcontrib>Xu, Hua-Guo</creatorcontrib><title>Individualized correction of insulin measurement in hemolyzed serum samples</title><title>Immunologic research</title><addtitle>Immunol Res</addtitle><addtitle>Immunol Res</addtitle><description>Insulin measurement plays a key role in the investigation of patients with hypoglycemia, subtype classification of diabetes mellitus, insulin resistance, and impaired beta cell function. However, even slight hemolysis can negatively affect insulin measurement due to RBC insulin-degrading enzyme (IDE). Here, we derived and validated an individualized correction equation in an attempt to eliminate the effects of hemolysis on insulin measurement. The effects of hemolysis on insulin measurement were studied by adding lysed self-RBCs to serum. A correction equation was derived, accounting for both percentage and exposure time of hemolysis. The performance of this individualized correction was evaluated in intentionally hemolyzed samples. Insulin concentration decreased with increasing percentage and exposure time of hemolysis. Based on the effects of hemolysis on insulin measurement of 17 donors (baseline insulin concentrations ranged from 156 to 2119 pmol/L), the individualized hemolysis correction equation was derived: INS
corr
= INS
meas
/(0.705lgHb
plasma
/Hb
serum
− 0.001Time − 0.612). This equation can revert insulin concentrations of the intentionally hemolyzed samples to values that were statistically not different from the corresponding insulin baseline concentrations (
p
= 0.1564). Hemolysis could lead to a negative interference on insulin measurement; by individualized hemolysis correction equation for insulin measurement, we can correct and report reliable serum insulin results for a wide range of degrees of sample hemolysis. This correction would increase diagnostic accuracy, reduce inappropriate therapeutic decisions, and improve patient satisfaction with care.</description><subject>Allergology</subject><subject>Beta cells</subject><subject>Biomedical and Life Sciences</subject><subject>Biomedicine</subject><subject>Diabetes mellitus</subject><subject>Diabetes Mellitus - diagnosis</subject><subject>Diagnostic Errors - prevention & control</subject><subject>Diagnostic systems</subject><subject>Erythrocytes - metabolism</subject><subject>Erythrocytes - pathology</subject><subject>Exposure</subject><subject>Hemolysis</subject><subject>Humans</subject><subject>Hypoglycemia</subject><subject>Hypoglycemia - diagnosis</subject><subject>Immunology</subject><subject>Insulin</subject><subject>Insulin - blood</subject><subject>Insulin resistance</subject><subject>Insulysin</subject><subject>Insulysin - metabolism</subject><subject>Internal Medicine</subject><subject>Medicine/Public Health</subject><subject>Models, Theoretical</subject><subject>Original Article</subject><subject>Precision Medicine</subject><subject>Reproducibility of Results</subject><subject>Serum - metabolism</subject><subject>Statistical analysis</subject><subject>Statistical methods</subject><issn>0257-277X</issn><issn>1559-0755</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNp1kMtKAzEUhoMotlYfwI0MuHETzWUyJ7OU4qVYcKPgLqQzJzplLjXpCPXpTZkqIrg6kPP9_wkfIaecXXLG4CpwwURGGc-o1qAp7JExVyqnDJTaJ2MmFFAB8DIiRyEsWQTTVB6SkQDNgaf5mDzM2rL6qMre1tUnlknReY_FuurapHNJ1Ya-rtqkQRt6jw226_iWvGHT1ZstHtD3TRJss6oxHJMDZ-uAJ7s5Ic-3N0_Tezp_vJtNr-e0kCDWVLgSWAapVRIAJDCZCZ1pkJg6pzhmYlHyItWFRtRSp5I7qdClCytLFfdyQi6G3pXv3nsMa9NUocC6ti12fTBcx1KhVIxOyPkfdNn1vo2_MzxnnGslcxEpPlCF70Lw6MzKV431G8OZ2Zo2g2kTBZqtaQMxc7Zr7hcNlj-Jb7UREAMQ4qp9Rf_r9L-tX5YdiHU</recordid><startdate>20170601</startdate><enddate>20170601</enddate><creator>Wu, Zhi-Qi</creator><creator>Lu, Ju</creator><creator>Chen, Huanhuan</creator><creator>Chen, Wensen</creator><creator>Xu, Hua-Guo</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>7T5</scope><scope>7U9</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope></search><sort><creationdate>20170601</creationdate><title>Individualized correction of insulin measurement in hemolyzed serum samples</title><author>Wu, Zhi-Qi ; Lu, Ju ; Chen, Huanhuan ; Chen, Wensen ; Xu, Hua-Guo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c372t-2fd70674a5377737036286873e4ff51e62bd1c48c8ee838431f35ef4ba3d551e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Allergology</topic><topic>Beta cells</topic><topic>Biomedical and Life Sciences</topic><topic>Biomedicine</topic><topic>Diabetes mellitus</topic><topic>Diabetes Mellitus - diagnosis</topic><topic>Diagnostic Errors - prevention & control</topic><topic>Diagnostic systems</topic><topic>Erythrocytes - metabolism</topic><topic>Erythrocytes - pathology</topic><topic>Exposure</topic><topic>Hemolysis</topic><topic>Humans</topic><topic>Hypoglycemia</topic><topic>Hypoglycemia - diagnosis</topic><topic>Immunology</topic><topic>Insulin</topic><topic>Insulin - blood</topic><topic>Insulin resistance</topic><topic>Insulysin</topic><topic>Insulysin - metabolism</topic><topic>Internal Medicine</topic><topic>Medicine/Public Health</topic><topic>Models, Theoretical</topic><topic>Original Article</topic><topic>Precision Medicine</topic><topic>Reproducibility of Results</topic><topic>Serum - metabolism</topic><topic>Statistical analysis</topic><topic>Statistical methods</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wu, Zhi-Qi</creatorcontrib><creatorcontrib>Lu, Ju</creatorcontrib><creatorcontrib>Chen, Huanhuan</creatorcontrib><creatorcontrib>Chen, Wensen</creatorcontrib><creatorcontrib>Xu, Hua-Guo</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>Immunology Abstracts</collection><collection>Virology and AIDS Abstracts</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>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 Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</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>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological 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 China</collection><collection>MEDLINE - Academic</collection><jtitle>Immunologic research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wu, Zhi-Qi</au><au>Lu, Ju</au><au>Chen, Huanhuan</au><au>Chen, Wensen</au><au>Xu, Hua-Guo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Individualized correction of insulin measurement in hemolyzed serum samples</atitle><jtitle>Immunologic research</jtitle><stitle>Immunol Res</stitle><addtitle>Immunol Res</addtitle><date>2017-06-01</date><risdate>2017</risdate><volume>65</volume><issue>3</issue><spage>605</spage><epage>608</epage><pages>605-608</pages><issn>0257-277X</issn><eissn>1559-0755</eissn><abstract>Insulin measurement plays a key role in the investigation of patients with hypoglycemia, subtype classification of diabetes mellitus, insulin resistance, and impaired beta cell function. However, even slight hemolysis can negatively affect insulin measurement due to RBC insulin-degrading enzyme (IDE). Here, we derived and validated an individualized correction equation in an attempt to eliminate the effects of hemolysis on insulin measurement. The effects of hemolysis on insulin measurement were studied by adding lysed self-RBCs to serum. A correction equation was derived, accounting for both percentage and exposure time of hemolysis. The performance of this individualized correction was evaluated in intentionally hemolyzed samples. Insulin concentration decreased with increasing percentage and exposure time of hemolysis. Based on the effects of hemolysis on insulin measurement of 17 donors (baseline insulin concentrations ranged from 156 to 2119 pmol/L), the individualized hemolysis correction equation was derived: INS
corr
= INS
meas
/(0.705lgHb
plasma
/Hb
serum
− 0.001Time − 0.612). This equation can revert insulin concentrations of the intentionally hemolyzed samples to values that were statistically not different from the corresponding insulin baseline concentrations (
p
= 0.1564). Hemolysis could lead to a negative interference on insulin measurement; by individualized hemolysis correction equation for insulin measurement, we can correct and report reliable serum insulin results for a wide range of degrees of sample hemolysis. This correction would increase diagnostic accuracy, reduce inappropriate therapeutic decisions, and improve patient satisfaction with care.</abstract><cop>New York</cop><pub>Springer US</pub><pmid>27817149</pmid><doi>10.1007/s12026-016-8878-7</doi><tpages>4</tpages></addata></record> |
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| subjects | Allergology Beta cells Biomedical and Life Sciences Biomedicine Diabetes mellitus Diabetes Mellitus - diagnosis Diagnostic Errors - prevention & control Diagnostic systems Erythrocytes - metabolism Erythrocytes - pathology Exposure Hemolysis Humans Hypoglycemia Hypoglycemia - diagnosis Immunology Insulin Insulin - blood Insulin resistance Insulysin Insulysin - metabolism Internal Medicine Medicine/Public Health Models, Theoretical Original Article Precision Medicine Reproducibility of Results Serum - metabolism Statistical analysis Statistical methods |
| title | Individualized correction of insulin measurement in hemolyzed serum samples |
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