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Evaluation of potential aging biomarkers in healthy individuals: telomerase, AGEs, GDF11/15, sirtuin 1, NAD+, NLRP3, DNA/RNA damage, and klotho
Aging is a natural process of gradual decrease in physical and mental capacity. Biological age (accumulation of changes and damage) and chronological age (years lived) may differ. Biological age reflects the risk of various types of disease and death from any cause. We selected potential biomarkers...
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| Published in: | Biogerontology (Dordrecht) 2023-12, Vol.24 (6), p.937-955 |
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| container_issue | 6 |
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| container_title | Biogerontology (Dordrecht) |
| container_volume | 24 |
| creator | Borsky, Pavel Holmannova, Drahomira Andrys, Ctirad Kremlacek, Jan Fiala, Zdenek Parova, Helena Rehacek, Vit Svadlakova, Tereza Byma, Svatopluk Kucera, Otto Borska, Lenka |
| description | Aging is a natural process of gradual decrease in physical and mental capacity. Biological age (accumulation of changes and damage) and chronological age (years lived) may differ. Biological age reflects the risk of various types of disease and death from any cause. We selected potential biomarkers of aging - telomerase, AGEs, GDF11 and 15 (growth differentiation factor 11/15), sirtuin 1, NAD
+
(nicotinamide adenine dinucleotide), inflammasome NLRP3, DNA/RNA damage, and klotho to investigate changes in their levels depending on age and sex. We included 169 healthy volunteers and divided them into groups according to age (under 35; 35–50; over 50) and sex (male, female; male and female under 35; 35–50, over 50). Markers were analyzed using commercial ELISA kits. We found differences in values depending on age and gender. GDF15 increased with age (under 30 and 35–50
p
|
| doi_str_mv | 10.1007/s10522-023-10054-x |
| format | article |
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+
(nicotinamide adenine dinucleotide), inflammasome NLRP3, DNA/RNA damage, and klotho to investigate changes in their levels depending on age and sex. We included 169 healthy volunteers and divided them into groups according to age (under 35; 35–50; over 50) and sex (male, female; male and female under 35; 35–50, over 50). Markers were analyzed using commercial ELISA kits. We found differences in values depending on age and gender. GDF15 increased with age (under 30 and 35–50
p
< 0.002; 35–50 and over 50;
p
< 0.001; under 35 and over 50;
p
< 0.001) as well as GDF11 (35–50 and over 50;
p
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p
< 0.005), NLRP3 (under 35 over 50;
p
< 0.03), sirtuin 1 (35–50 and over 50;
p
< 0.0001; under 35 and over 50;
p
< 0.004). AGEs and GDF11 differed between males and females. Correlations were identified between individual markers, markers and age, and markers and sex. Markers that reflect the progression of biological aging vary with age (GDF15, GDF11, AGEs, NLRP3, sirtuin) and sex (AGEs, GDF11). Their levels could be used in clinical practice, determining biological age, risk of age-related diseases and death of all-causes, and initiating or contraindicating a therapy in the elderly based on the patient’s health status.]]></description><identifier>ISSN: 1389-5729</identifier><identifier>ISSN: 1573-6768</identifier><identifier>EISSN: 1573-6768</identifier><identifier>DOI: 10.1007/s10522-023-10054-x</identifier><identifier>PMID: 37523061</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Age ; Aged ; Aging ; Aging - genetics ; Biomarkers ; Biomedical and Life Sciences ; Bone Morphogenetic Proteins ; Cell Biology ; Cognitive ability ; Developmental Biology ; DNA ; DNA damage ; Female ; Females ; Geriatrics ; Geriatrics/Gerontology ; Glycation End Products, Advanced ; Growth differentiation factor 11 ; Growth Differentiation Factors - metabolism ; Health Status ; Humans ; Inflammasomes ; Klotho protein ; Life Sciences ; Male ; NAD ; NLR Family, Pyrin Domain-Containing 3 Protein ; Research Article ; Sex ; Sirtuin 1 ; Telomerase</subject><ispartof>Biogerontology (Dordrecht), 2023-12, Vol.24 (6), p.937-955</ispartof><rights>The Author(s) 2023</rights><rights>2023. The Author(s).</rights><rights>The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c475t-1785318ded8aac1fa8df35d2f648bee195655fda7fe42cad91b35f359f912ef33</citedby><cites>FETCH-LOGICAL-c475t-1785318ded8aac1fa8df35d2f648bee195655fda7fe42cad91b35f359f912ef33</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2884008943/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2884008943?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>230,314,780,784,885,21393,27923,27924,33610,33611,43732,73992</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37523061$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Borsky, Pavel</creatorcontrib><creatorcontrib>Holmannova, Drahomira</creatorcontrib><creatorcontrib>Andrys, Ctirad</creatorcontrib><creatorcontrib>Kremlacek, Jan</creatorcontrib><creatorcontrib>Fiala, Zdenek</creatorcontrib><creatorcontrib>Parova, Helena</creatorcontrib><creatorcontrib>Rehacek, Vit</creatorcontrib><creatorcontrib>Svadlakova, Tereza</creatorcontrib><creatorcontrib>Byma, Svatopluk</creatorcontrib><creatorcontrib>Kucera, Otto</creatorcontrib><creatorcontrib>Borska, Lenka</creatorcontrib><title>Evaluation of potential aging biomarkers in healthy individuals: telomerase, AGEs, GDF11/15, sirtuin 1, NAD+, NLRP3, DNA/RNA damage, and klotho</title><title>Biogerontology (Dordrecht)</title><addtitle>Biogerontology</addtitle><addtitle>Biogerontology</addtitle><description><![CDATA[Aging is a natural process of gradual decrease in physical and mental capacity. Biological age (accumulation of changes and damage) and chronological age (years lived) may differ. Biological age reflects the risk of various types of disease and death from any cause. We selected potential biomarkers of aging - telomerase, AGEs, GDF11 and 15 (growth differentiation factor 11/15), sirtuin 1, NAD
+
(nicotinamide adenine dinucleotide), inflammasome NLRP3, DNA/RNA damage, and klotho to investigate changes in their levels depending on age and sex. We included 169 healthy volunteers and divided them into groups according to age (under 35; 35–50; over 50) and sex (male, female; male and female under 35; 35–50, over 50). Markers were analyzed using commercial ELISA kits. We found differences in values depending on age and gender. GDF15 increased with age (under 30 and 35–50
p
< 0.002; 35–50 and over 50;
p
< 0.001; under 35 and over 50;
p
< 0.001) as well as GDF11 (35–50 and over 50;
p
< 0.03; under 35 and over 50;
p
< 0.02), AGEs (under 30 and 35–50;
p
< 0.005), NLRP3 (under 35 over 50;
p
< 0.03), sirtuin 1 (35–50 and over 50;
p
< 0.0001; under 35 and over 50;
p
< 0.004). AGEs and GDF11 differed between males and females. Correlations were identified between individual markers, markers and age, and markers and sex. Markers that reflect the progression of biological aging vary with age (GDF15, GDF11, AGEs, NLRP3, sirtuin) and sex (AGEs, GDF11). Their levels could be used in clinical practice, determining biological age, risk of age-related diseases and death of all-causes, and initiating or contraindicating a therapy in the elderly based on the patient’s health status.]]></description><subject>Age</subject><subject>Aged</subject><subject>Aging</subject><subject>Aging - genetics</subject><subject>Biomarkers</subject><subject>Biomedical and Life Sciences</subject><subject>Bone Morphogenetic Proteins</subject><subject>Cell Biology</subject><subject>Cognitive ability</subject><subject>Developmental Biology</subject><subject>DNA</subject><subject>DNA damage</subject><subject>Female</subject><subject>Females</subject><subject>Geriatrics</subject><subject>Geriatrics/Gerontology</subject><subject>Glycation End Products, Advanced</subject><subject>Growth differentiation factor 11</subject><subject>Growth Differentiation Factors - metabolism</subject><subject>Health Status</subject><subject>Humans</subject><subject>Inflammasomes</subject><subject>Klotho protein</subject><subject>Life Sciences</subject><subject>Male</subject><subject>NAD</subject><subject>NLR Family, Pyrin Domain-Containing 3 Protein</subject><subject>Research Article</subject><subject>Sex</subject><subject>Sirtuin 1</subject><subject>Telomerase</subject><issn>1389-5729</issn><issn>1573-6768</issn><issn>1573-6768</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>ALSLI</sourceid><sourceid>M2R</sourceid><recordid>eNp9kctu1DAUhiMEoqXwAiyQJTZIJIwvcWJ3g6LOdEAaDaiCteWJ7YxbJx7sZNS-BY_As_BkuEwplwUbX3S-8_v8_rPsOYJvEIT1LCJIMS4gJkW607K4fpAdI1qToqor9jCdCeMFrTE_yp7EeAkhqnBFH2dHpKaYwAodZ18Xe-kmOVo_AG_Azo96GK10QHZ26MDG-l6GKx0isAPYaunG7U06Kru3apIunoJRO9_rIKPOQbNcxBws5-cIzRDNQbRhnFIjysG6mb9O6-riI8nBfN3MLtYNULKXnc6_f5ODAlfOj1v_NHtkkq5-drefZJ_PF5_O3hWrD8v3Z82qaMuajgWqGSWIKa2YlC0ykilDqMKmKtlGa8RpRalRsja6xK1UHG0ITQQ3HGFtCDnJ3h50d9Om16pNtoN0YhdsMnwjvLTi78pgt6Lze4HSv1FOeVJ4dacQ_JdJx1H0NrbaOTloP0WBWVlCjuuqSujLf9BLP4Uh-UsUKyFkvLwdCR-oNvgYgzb30yAobhMXh8RFSlz8TFxcp6YXf_q4b_kVcQLIAYipNHQ6_H77P7I_AL1YtrA</recordid><startdate>20231201</startdate><enddate>20231201</enddate><creator>Borsky, Pavel</creator><creator>Holmannova, Drahomira</creator><creator>Andrys, Ctirad</creator><creator>Kremlacek, Jan</creator><creator>Fiala, Zdenek</creator><creator>Parova, Helena</creator><creator>Rehacek, Vit</creator><creator>Svadlakova, Tereza</creator><creator>Byma, Svatopluk</creator><creator>Kucera, Otto</creator><creator>Borska, Lenka</creator><general>Springer Netherlands</general><general>Springer Nature B.V</general><scope>C6C</scope><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>0-V</scope><scope>3V.</scope><scope>7RV</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88J</scope><scope>8AO</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ALSLI</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>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2R</scope><scope>M7P</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20231201</creationdate><title>Evaluation of potential aging biomarkers in healthy individuals: telomerase, AGEs, GDF11/15, sirtuin 1, NAD+, NLRP3, DNA/RNA damage, and klotho</title><author>Borsky, Pavel ; Holmannova, Drahomira ; Andrys, Ctirad ; Kremlacek, Jan ; Fiala, Zdenek ; Parova, Helena ; Rehacek, Vit ; Svadlakova, Tereza ; Byma, Svatopluk ; Kucera, Otto ; Borska, Lenka</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c475t-1785318ded8aac1fa8df35d2f648bee195655fda7fe42cad91b35f359f912ef33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Age</topic><topic>Aged</topic><topic>Aging</topic><topic>Aging - genetics</topic><topic>Biomarkers</topic><topic>Biomedical and Life Sciences</topic><topic>Bone Morphogenetic Proteins</topic><topic>Cell Biology</topic><topic>Cognitive ability</topic><topic>Developmental Biology</topic><topic>DNA</topic><topic>DNA damage</topic><topic>Female</topic><topic>Females</topic><topic>Geriatrics</topic><topic>Geriatrics/Gerontology</topic><topic>Glycation End Products, Advanced</topic><topic>Growth differentiation factor 11</topic><topic>Growth Differentiation Factors - metabolism</topic><topic>Health Status</topic><topic>Humans</topic><topic>Inflammasomes</topic><topic>Klotho protein</topic><topic>Life Sciences</topic><topic>Male</topic><topic>NAD</topic><topic>NLR Family, Pyrin Domain-Containing 3 Protein</topic><topic>Research Article</topic><topic>Sex</topic><topic>Sirtuin 1</topic><topic>Telomerase</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Borsky, Pavel</creatorcontrib><creatorcontrib>Holmannova, Drahomira</creatorcontrib><creatorcontrib>Andrys, Ctirad</creatorcontrib><creatorcontrib>Kremlacek, Jan</creatorcontrib><creatorcontrib>Fiala, Zdenek</creatorcontrib><creatorcontrib>Parova, Helena</creatorcontrib><creatorcontrib>Rehacek, Vit</creatorcontrib><creatorcontrib>Svadlakova, Tereza</creatorcontrib><creatorcontrib>Byma, Svatopluk</creatorcontrib><creatorcontrib>Kucera, Otto</creatorcontrib><creatorcontrib>Borska, Lenka</creatorcontrib><collection>SpringerOpen</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Social Sciences Premium Collection【Remote access available】</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>Neurosciences Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Social 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 Central</collection><collection>Social Science Premium Collection</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>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Social Science Database</collection><collection>Biological Science Database</collection><collection>Nursing & Allied Health Premium</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><collection>PubMed Central (Full Participant titles)</collection><jtitle>Biogerontology (Dordrecht)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Borsky, Pavel</au><au>Holmannova, Drahomira</au><au>Andrys, Ctirad</au><au>Kremlacek, Jan</au><au>Fiala, Zdenek</au><au>Parova, Helena</au><au>Rehacek, Vit</au><au>Svadlakova, Tereza</au><au>Byma, Svatopluk</au><au>Kucera, Otto</au><au>Borska, Lenka</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Evaluation of potential aging biomarkers in healthy individuals: telomerase, AGEs, GDF11/15, sirtuin 1, NAD+, NLRP3, DNA/RNA damage, and klotho</atitle><jtitle>Biogerontology (Dordrecht)</jtitle><stitle>Biogerontology</stitle><addtitle>Biogerontology</addtitle><date>2023-12-01</date><risdate>2023</risdate><volume>24</volume><issue>6</issue><spage>937</spage><epage>955</epage><pages>937-955</pages><issn>1389-5729</issn><issn>1573-6768</issn><eissn>1573-6768</eissn><abstract><![CDATA[Aging is a natural process of gradual decrease in physical and mental capacity. Biological age (accumulation of changes and damage) and chronological age (years lived) may differ. Biological age reflects the risk of various types of disease and death from any cause. We selected potential biomarkers of aging - telomerase, AGEs, GDF11 and 15 (growth differentiation factor 11/15), sirtuin 1, NAD
+
(nicotinamide adenine dinucleotide), inflammasome NLRP3, DNA/RNA damage, and klotho to investigate changes in their levels depending on age and sex. We included 169 healthy volunteers and divided them into groups according to age (under 35; 35–50; over 50) and sex (male, female; male and female under 35; 35–50, over 50). Markers were analyzed using commercial ELISA kits. We found differences in values depending on age and gender. GDF15 increased with age (under 30 and 35–50
p
< 0.002; 35–50 and over 50;
p
< 0.001; under 35 and over 50;
p
< 0.001) as well as GDF11 (35–50 and over 50;
p
< 0.03; under 35 and over 50;
p
< 0.02), AGEs (under 30 and 35–50;
p
< 0.005), NLRP3 (under 35 over 50;
p
< 0.03), sirtuin 1 (35–50 and over 50;
p
< 0.0001; under 35 and over 50;
p
< 0.004). AGEs and GDF11 differed between males and females. Correlations were identified between individual markers, markers and age, and markers and sex. Markers that reflect the progression of biological aging vary with age (GDF15, GDF11, AGEs, NLRP3, sirtuin) and sex (AGEs, GDF11). Their levels could be used in clinical practice, determining biological age, risk of age-related diseases and death of all-causes, and initiating or contraindicating a therapy in the elderly based on the patient’s health status.]]></abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><pmid>37523061</pmid><doi>10.1007/s10522-023-10054-x</doi><tpages>19</tpages><oa>free_for_read</oa></addata></record> |
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| ispartof | Biogerontology (Dordrecht), 2023-12, Vol.24 (6), p.937-955 |
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| language | eng |
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| source | Social Science Premium Collection; Springer Nature |
| subjects | Age Aged Aging Aging - genetics Biomarkers Biomedical and Life Sciences Bone Morphogenetic Proteins Cell Biology Cognitive ability Developmental Biology DNA DNA damage Female Females Geriatrics Geriatrics/Gerontology Glycation End Products, Advanced Growth differentiation factor 11 Growth Differentiation Factors - metabolism Health Status Humans Inflammasomes Klotho protein Life Sciences Male NAD NLR Family, Pyrin Domain-Containing 3 Protein Research Article Sex Sirtuin 1 Telomerase |
| title | Evaluation of potential aging biomarkers in healthy individuals: telomerase, AGEs, GDF11/15, sirtuin 1, NAD+, NLRP3, DNA/RNA damage, and klotho |
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