Soluble intercellular adhesion molecule-1: a potential biomarker for pain intensity in chronic pain patients
Pain therapy is strongly guided by patients' self-reporting. However, when self-reporting is not an option, pain assessment becomes a challenge and may lead to undertreatment of painful conditions. Pain is a complex and multifactorial phenomenon. Recent work has connected pain pathophysiology a...
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| Veröffentlicht in: | Biomarkers in medicine 2017-03, Vol.11 (3), p.265-276 |
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| creator | Luchting, Benjamin Hinske, Ludwig Christian Giuseppe Rachinger-Adam, Banafscheh Celi, Leo Anthony Kreth, Simone Azad, Shahnaz Christina |
| description | Pain therapy is strongly guided by patients' self-reporting. However, when self-reporting is not an option, pain assessment becomes a challenge and may lead to undertreatment of painful conditions. Pain is a complex and multifactorial phenomenon. Recent work has connected pain pathophysiology also with the inflammatory system. We therefore hypothesized that pain intensity could be predicted by cytokine-levels.
In this observational, single-center study, we investigated 30 serum cytokines to predict pain intensity in a screening/follow-up set of 95 chronic pain patients and controls. We then prospectively validated soluble intercellular adhesion molecule-1 (sICAM-1)'s discriminatory capability (n = 21).
sICAM-1 was significantly associated with patient-reported pain intensity and yielded differential serum levels in patients of varying degrees of pain intensity. Changes in pain ratings over time correlated with changes in sICAM-1 levels. Our findings suggest the possibility of a clinical use of sICAM-1 as a potential biomarker for pain intensity. |
| doi_str_mv | 10.2217/bmm-2016-0246 |
| format | Article |
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In this observational, single-center study, we investigated 30 serum cytokines to predict pain intensity in a screening/follow-up set of 95 chronic pain patients and controls. We then prospectively validated soluble intercellular adhesion molecule-1 (sICAM-1)'s discriminatory capability (n = 21).
sICAM-1 was significantly associated with patient-reported pain intensity and yielded differential serum levels in patients of varying degrees of pain intensity. Changes in pain ratings over time correlated with changes in sICAM-1 levels. Our findings suggest the possibility of a clinical use of sICAM-1 as a potential biomarker for pain intensity.</description><identifier>ISSN: 1752-0363</identifier><identifier>EISSN: 1752-0371</identifier><identifier>DOI: 10.2217/bmm-2016-0246</identifier><identifier>PMID: 28240097</identifier><language>eng</language><publisher>England: Future Medicine Ltd</publisher><subject>Adult ; Aged ; Aged, 80 and over ; Area Under Curve ; Back pain ; Bayes Theorem ; biomarker ; Biomarkers ; Biomarkers - blood ; Case-Control Studies ; Cell adhesion ; Chronic pain ; Chronic Pain - diagnosis ; Chronic Pain - pathology ; Cytokines ; Cytokines - blood ; Enzyme-Linked Immunosorbent Assay ; Female ; Humans ; Inflammation ; Intercellular adhesion molecule 1 ; Intercellular Adhesion Molecule-1 - blood ; Male ; Middle Aged ; Nonsteroidal anti-inflammatory drugs ; pain assessment ; pain intensity ; pain management ; Pain Measurement ; Patients ; predictive modeling ; ROC Curve ; Serum levels ; sICAM-1 ; Standard deviation ; Stress ; Substance abuse treatment ; Young Adult</subject><ispartof>Biomarkers in medicine, 2017-03, Vol.11 (3), p.265-276</ispartof><rights>Future Medicine Ltd</rights><rights>Copyright Future Medicine Ltd Mar 2017</rights><rights>2017 Future Medicine Ltd 2017</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c498t-858d26e13720641bc3a3c0b5ae23660ad71038c097db07adc8e58da38de5a2183</citedby><cites>FETCH-LOGICAL-c498t-858d26e13720641bc3a3c0b5ae23660ad71038c097db07adc8e58da38de5a2183</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5705790/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5705790/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,727,780,784,885,27923,27924,53790,53792</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28240097$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Luchting, Benjamin</creatorcontrib><creatorcontrib>Hinske, Ludwig Christian Giuseppe</creatorcontrib><creatorcontrib>Rachinger-Adam, Banafscheh</creatorcontrib><creatorcontrib>Celi, Leo Anthony</creatorcontrib><creatorcontrib>Kreth, Simone</creatorcontrib><creatorcontrib>Azad, Shahnaz Christina</creatorcontrib><title>Soluble intercellular adhesion molecule-1: a potential biomarker for pain intensity in chronic pain patients</title><title>Biomarkers in medicine</title><addtitle>Biomark Med</addtitle><description>Pain therapy is strongly guided by patients' self-reporting. However, when self-reporting is not an option, pain assessment becomes a challenge and may lead to undertreatment of painful conditions. Pain is a complex and multifactorial phenomenon. Recent work has connected pain pathophysiology also with the inflammatory system. We therefore hypothesized that pain intensity could be predicted by cytokine-levels.
In this observational, single-center study, we investigated 30 serum cytokines to predict pain intensity in a screening/follow-up set of 95 chronic pain patients and controls. We then prospectively validated soluble intercellular adhesion molecule-1 (sICAM-1)'s discriminatory capability (n = 21).
sICAM-1 was significantly associated with patient-reported pain intensity and yielded differential serum levels in patients of varying degrees of pain intensity. Changes in pain ratings over time correlated with changes in sICAM-1 levels. Our findings suggest the possibility of a clinical use of sICAM-1 as a potential biomarker for pain intensity.</description><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Area Under Curve</subject><subject>Back pain</subject><subject>Bayes Theorem</subject><subject>biomarker</subject><subject>Biomarkers</subject><subject>Biomarkers - blood</subject><subject>Case-Control Studies</subject><subject>Cell adhesion</subject><subject>Chronic pain</subject><subject>Chronic Pain - diagnosis</subject><subject>Chronic Pain - pathology</subject><subject>Cytokines</subject><subject>Cytokines - blood</subject><subject>Enzyme-Linked Immunosorbent Assay</subject><subject>Female</subject><subject>Humans</subject><subject>Inflammation</subject><subject>Intercellular adhesion molecule 1</subject><subject>Intercellular Adhesion Molecule-1 - blood</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Nonsteroidal anti-inflammatory drugs</subject><subject>pain assessment</subject><subject>pain intensity</subject><subject>pain management</subject><subject>Pain Measurement</subject><subject>Patients</subject><subject>predictive modeling</subject><subject>ROC Curve</subject><subject>Serum levels</subject><subject>sICAM-1</subject><subject>Standard deviation</subject><subject>Stress</subject><subject>Substance abuse treatment</subject><subject>Young Adult</subject><issn>1752-0363</issn><issn>1752-0371</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</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><recordid>eNqNkc1rFTEUxYMo9kOXbiXgxs1oPiaTjAuhFKtCwUXrOmQy9_lSM8mYTIT-98049aEFwVVuuL97cnIPQi8oecMYlW-HaWoYoV1DWNs9QsdUCtYQLunjQ93xI3SS8w0hQsqOPUVHTLGWkF4eI38VfRk8YBcWSBa8L94kbMY9ZBcDnqIHWzw09B02eI4LhMUZjwcXJ5O-Q8K7mPBsXPilELJbbmuF7T7F4OzWmc3i6lx-hp7sjM_w_P48RV8vPlyff2ouv3z8fH522di2V0ujhBpZB5RLRrqWDpYbbskgDDDedcSMkhKubPU_DkSa0SqoE4arEYRhVPFT9H7TncswwWjr28l4PSdXPd_qaJz-uxPcXn-LP7WQdUU9qQKv7wVS_FEgL3pyeV2OCRBL1lRJqWjf9v3_oExIJYSs6KsH6E0sKdRNaCYIW_XIKthslE0x5wS7g29K9Bq5rpHrNXK9Rl75l39-9kD_zrgC_QbsylISZFuzsKC3W51w1gX4h_gdhIq8Mg</recordid><startdate>20170301</startdate><enddate>20170301</enddate><creator>Luchting, Benjamin</creator><creator>Hinske, Ludwig Christian Giuseppe</creator><creator>Rachinger-Adam, Banafscheh</creator><creator>Celi, Leo Anthony</creator><creator>Kreth, Simone</creator><creator>Azad, Shahnaz Christina</creator><general>Future Medicine Ltd</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>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>EHMNL</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>7QO</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>5PM</scope></search><sort><creationdate>20170301</creationdate><title>Soluble intercellular adhesion molecule-1: a potential biomarker for pain intensity in chronic pain patients</title><author>Luchting, Benjamin ; Hinske, Ludwig Christian Giuseppe ; Rachinger-Adam, Banafscheh ; Celi, Leo Anthony ; Kreth, Simone ; Azad, Shahnaz Christina</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c498t-858d26e13720641bc3a3c0b5ae23660ad71038c097db07adc8e58da38de5a2183</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Area Under Curve</topic><topic>Back pain</topic><topic>Bayes Theorem</topic><topic>biomarker</topic><topic>Biomarkers</topic><topic>Biomarkers - blood</topic><topic>Case-Control Studies</topic><topic>Cell adhesion</topic><topic>Chronic pain</topic><topic>Chronic Pain - diagnosis</topic><topic>Chronic Pain - pathology</topic><topic>Cytokines</topic><topic>Cytokines - blood</topic><topic>Enzyme-Linked Immunosorbent Assay</topic><topic>Female</topic><topic>Humans</topic><topic>Inflammation</topic><topic>Intercellular adhesion molecule 1</topic><topic>Intercellular Adhesion Molecule-1 - blood</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Nonsteroidal anti-inflammatory drugs</topic><topic>pain assessment</topic><topic>pain intensity</topic><topic>pain management</topic><topic>Pain Measurement</topic><topic>Patients</topic><topic>predictive modeling</topic><topic>ROC Curve</topic><topic>Serum levels</topic><topic>sICAM-1</topic><topic>Standard deviation</topic><topic>Stress</topic><topic>Substance abuse treatment</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Luchting, Benjamin</creatorcontrib><creatorcontrib>Hinske, Ludwig Christian Giuseppe</creatorcontrib><creatorcontrib>Rachinger-Adam, Banafscheh</creatorcontrib><creatorcontrib>Celi, Leo Anthony</creatorcontrib><creatorcontrib>Kreth, Simone</creatorcontrib><creatorcontrib>Azad, Shahnaz Christina</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>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>UK & Ireland Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</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>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><collection>Biotechnology Research Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Biomarkers in medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Luchting, Benjamin</au><au>Hinske, Ludwig Christian Giuseppe</au><au>Rachinger-Adam, Banafscheh</au><au>Celi, Leo Anthony</au><au>Kreth, Simone</au><au>Azad, Shahnaz Christina</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Soluble intercellular adhesion molecule-1: a potential biomarker for pain intensity in chronic pain patients</atitle><jtitle>Biomarkers in medicine</jtitle><addtitle>Biomark Med</addtitle><date>2017-03-01</date><risdate>2017</risdate><volume>11</volume><issue>3</issue><spage>265</spage><epage>276</epage><pages>265-276</pages><issn>1752-0363</issn><eissn>1752-0371</eissn><abstract>Pain therapy is strongly guided by patients' self-reporting. However, when self-reporting is not an option, pain assessment becomes a challenge and may lead to undertreatment of painful conditions. Pain is a complex and multifactorial phenomenon. Recent work has connected pain pathophysiology also with the inflammatory system. We therefore hypothesized that pain intensity could be predicted by cytokine-levels.
In this observational, single-center study, we investigated 30 serum cytokines to predict pain intensity in a screening/follow-up set of 95 chronic pain patients and controls. We then prospectively validated soluble intercellular adhesion molecule-1 (sICAM-1)'s discriminatory capability (n = 21).
sICAM-1 was significantly associated with patient-reported pain intensity and yielded differential serum levels in patients of varying degrees of pain intensity. Changes in pain ratings over time correlated with changes in sICAM-1 levels. Our findings suggest the possibility of a clinical use of sICAM-1 as a potential biomarker for pain intensity.</abstract><cop>England</cop><pub>Future Medicine Ltd</pub><pmid>28240097</pmid><doi>10.2217/bmm-2016-0246</doi><tpages>12</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Adult Aged Aged, 80 and over Area Under Curve Back pain Bayes Theorem biomarker Biomarkers Biomarkers - blood Case-Control Studies Cell adhesion Chronic pain Chronic Pain - diagnosis Chronic Pain - pathology Cytokines Cytokines - blood Enzyme-Linked Immunosorbent Assay Female Humans Inflammation Intercellular adhesion molecule 1 Intercellular Adhesion Molecule-1 - blood Male Middle Aged Nonsteroidal anti-inflammatory drugs pain assessment pain intensity pain management Pain Measurement Patients predictive modeling ROC Curve Serum levels sICAM-1 Standard deviation Stress Substance abuse treatment Young Adult |
| title | Soluble intercellular adhesion molecule-1: a potential biomarker for pain intensity in chronic pain patients |
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