Inflammatory Markers and Plasma Fatty Acids in Predicting WBC Level Alterations in Association With Glucose-Related Markers: A Cross-Sectional Study
Aging leads to immune function changes which contribute to occurrence of chronic conditions. White blood cell (WBC) level is a marker widely known to reflect the immune function, thus, prediction of WBC level changes by using certain biomarkers is needed to prevent chronic conditions and to decrease...
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Published in | Frontiers in immunology Vol. 11; p. 629 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
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14.04.2020
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Abstract | Aging leads to immune function changes which contribute to occurrence of chronic conditions. White blood cell (WBC) level is a marker widely known to reflect the immune function, thus, prediction of WBC level changes by using certain biomarkers is needed to prevent chronic conditions and to decrease the burdens of aging. In this respect, the present study aimed to explore the relationships between inflammatory markers and plasma fatty acid (FA) composition according to WBC levels for verifying potential predictors of WBC levels. Study subjects were divided into three groups according to their WBC count: moderate-low WBC (MLW), normal WBC, and moderate-high WBC (MHW). Inflammatory markers were measured, and plasma FA profiles were constructed via gas chromatography-mass spectrometry (GC-MS). In the MHW group, insulin, homeostatic model assessment of insulin resistance (HOMA-IR), γ-glutamyltransferase (GGT), high-sensitivity C-reactive protein (hs-CRP), and interferon (IFN)-γ showed significant increases compared to those in the other groups. In addition, the granulocyte-to-lymphocyte ratio (GLR) significantly increased according to the WBC levels, whereas the platelet-to-lymphocyte ratio (PLR) showed the opposite result. Total ω-3 polyunsaturated fatty acids (PUFAs) showed significant differences among the groups. Regarding ω-6 PUFAs, dihomo-γ-linolenic acid and docosatetraenoic acid levels were significantly increased in the MHW group compared to the other groups. Finally, multivariate linear regression analysis revealed that GGT, hs-CRP, IFN-γ, ω-3 PUFAs, and dihomo-γ-linolenic acid were independent factors for altering WBC levels. In conclusion, elevated WBC levels accompanied by an increased GLR and a decreased PLR were associated with the risk of type 2 diabetes based on increased insulin and HOMA-IR levels and decreased adiponectin levels. Additionally, GGT, hs-CRP, IFN-γ, ω-3 PUFAs, and dihomo-γ-linolenic acid levels emerged as independent biomarkers for predicting WBC level alterations. Therefore, this study showed that these inflammatory markers and plasma FAs not only affect WBC level alterations but also may play roles in the risk of type 2 diabetes as one of the chronic conditions by certain mechanisms, which should be further studied. Finally, checking these biomarkers along with WBC levels can be helpful to prevent the chronic conditions. |
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AbstractList | Aging leads to immune function changes which contribute to occurrence of chronic conditions. White blood cell (WBC) level is a marker widely known to reflect the immune function, thus, prediction of WBC level changes by using certain biomarkers is needed to prevent chronic conditions and to decrease the burdens of aging. In this respect, the present study aimed to explore the relationships between inflammatory markers and plasma fatty acid (FA) composition according to WBC levels for verifying potential predictors of WBC levels. Study subjects were divided into three groups according to their WBC count: moderate-low WBC (MLW), normal WBC, and moderate-high WBC (MHW). Inflammatory markers were measured, and plasma FA profiles were constructed via gas chromatography-mass spectrometry (GC-MS). In the MHW group, insulin, homeostatic model assessment of insulin resistance (HOMA-IR), γ-glutamyltransferase (GGT), high-sensitivity C-reactive protein (hs-CRP), and interferon (IFN)-γ showed significant increases compared to those in the other groups. In addition, the granulocyte-to-lymphocyte ratio (GLR) significantly increased according to the WBC levels, whereas the platelet-to-lymphocyte ratio (PLR) showed the opposite result. Total ω-3 polyunsaturated fatty acids (PUFAs) showed significant differences among the groups. Regarding ω-6 PUFAs, dihomo-γ-linolenic acid and docosatetraenoic acid levels were significantly increased in the MHW group compared to the other groups. Finally, multivariate linear regression analysis revealed that GGT, hs-CRP, IFN-γ, ω-3 PUFAs, and dihomo-γ-linolenic acid were independent factors for altering WBC levels. In conclusion, elevated WBC levels accompanied by an increased GLR and a decreased PLR were associated with the risk of type 2 diabetes based on increased insulin and HOMA-IR levels and decreased adiponectin levels. Additionally, GGT, hs-CRP, IFN-γ, ω-3 PUFAs, and dihomo-γ-linolenic acid levels emerged as independent biomarkers for predicting WBC level alterations. Therefore, this study showed that these inflammatory markers and plasma FAs not only affect WBC level alterations but also may play roles in the risk of type 2 diabetes as one of the chronic conditions by certain mechanisms, which should be further studied. Finally, checking these biomarkers along with WBC levels can be helpful to prevent the chronic conditions. Aging leads to immune function changes which contribute to occurrence of chronic conditions. White blood cell (WBC) level is a marker widely known to reflect the immune function, thus, prediction of WBC level changes by using certain biomarkers is needed to prevent chronic conditions and to decrease the burdens of aging. In this respect, the present study aimed to explore the relationships between inflammatory markers and plasma fatty acid (FA) composition according to WBC levels for verifying potential predictors of WBC levels. Study subjects were divided into three groups according to their WBC count: moderate-low WBC (MLW), normal WBC, and moderate-high WBC (MHW). Inflammatory markers were measured, and plasma FA profiles were constructed via gas chromatography-mass spectrometry (GC-MS). In the MHW group, insulin, homeostatic model assessment of insulin resistance (HOMA-IR), γ-glutamyltransferase (GGT), high-sensitivity C-reactive protein (hs-CRP), and interferon (IFN)-γ showed significant increases compared to those in the other groups. In addition, the granulocyte-to-lymphocyte ratio (GLR) significantly increased according to the WBC levels, whereas the platelet-to-lymphocyte ratio (PLR) showed the opposite result. Total ω-3 polyunsaturated fatty acids (PUFAs) showed significant differences among the groups. Regarding ω-6 PUFAs, dihomo-γ-linolenic acid and docosatetraenoic acid levels were significantly increased in the MHW group compared to the other groups. Finally, multivariate linear regression analysis revealed that GGT, hs-CRP, IFN-γ, ω-3 PUFAs, and dihomo-γ-linolenic acid were independent factors for altering WBC levels. In conclusion, elevated WBC levels accompanied by an increased GLR and a decreased PLR were associated with the risk of type 2 diabetes based on increased insulin and HOMA-IR levels and decreased adiponectin levels. Additionally, GGT, hs-CRP, IFN-γ, ω-3 PUFAs, and dihomo-γ-linolenic acid levels emerged as independent biomarkers for predicting WBC level alterations. Therefore, this study showed that these inflammatory markers and plasma FAs not only affect WBC level alterations but also may play roles in the risk of type 2 diabetes as one of the chronic conditions by certain mechanisms, which should be further studied. Finally, checking these biomarkers along with WBC levels can be helpful to prevent the chronic conditions.Aging leads to immune function changes which contribute to occurrence of chronic conditions. White blood cell (WBC) level is a marker widely known to reflect the immune function, thus, prediction of WBC level changes by using certain biomarkers is needed to prevent chronic conditions and to decrease the burdens of aging. In this respect, the present study aimed to explore the relationships between inflammatory markers and plasma fatty acid (FA) composition according to WBC levels for verifying potential predictors of WBC levels. Study subjects were divided into three groups according to their WBC count: moderate-low WBC (MLW), normal WBC, and moderate-high WBC (MHW). Inflammatory markers were measured, and plasma FA profiles were constructed via gas chromatography-mass spectrometry (GC-MS). In the MHW group, insulin, homeostatic model assessment of insulin resistance (HOMA-IR), γ-glutamyltransferase (GGT), high-sensitivity C-reactive protein (hs-CRP), and interferon (IFN)-γ showed significant increases compared to those in the other groups. In addition, the granulocyte-to-lymphocyte ratio (GLR) significantly increased according to the WBC levels, whereas the platelet-to-lymphocyte ratio (PLR) showed the opposite result. Total ω-3 polyunsaturated fatty acids (PUFAs) showed significant differences among the groups. Regarding ω-6 PUFAs, dihomo-γ-linolenic acid and docosatetraenoic acid levels were significantly increased in the MHW group compared to the other groups. Finally, multivariate linear regression analysis revealed that GGT, hs-CRP, IFN-γ, ω-3 PUFAs, and dihomo-γ-linolenic acid were independent factors for altering WBC levels. In conclusion, elevated WBC levels accompanied by an increased GLR and a decreased PLR were associated with the risk of type 2 diabetes based on increased insulin and HOMA-IR levels and decreased adiponectin levels. Additionally, GGT, hs-CRP, IFN-γ, ω-3 PUFAs, and dihomo-γ-linolenic acid levels emerged as independent biomarkers for predicting WBC level alterations. Therefore, this study showed that these inflammatory markers and plasma FAs not only affect WBC level alterations but also may play roles in the risk of type 2 diabetes as one of the chronic conditions by certain mechanisms, which should be further studied. Finally, checking these biomarkers along with WBC levels can be helpful to prevent the chronic conditions. |
Author | Yoo, Hye Jin Shin, Gurum Kim, Minjoo Lee, Jong Ho Jang, Kyunghye |
AuthorAffiliation | 3 Research Center for Silver Science, Institute of Symbiotic Life-TECH, Yonsei University , Seoul , South Korea 1 Department of Food and Nutrition, College of Human Ecology, National Leading Research Laboratory of Clinical Nutrigenetics/Nutrigenomic, Yonsei University , Seoul , South Korea 2 Department of Food and Nutrition, College of Life Science and Nano Technology, Hannam University , Daejeon , South Korea |
AuthorAffiliation_xml | – name: 2 Department of Food and Nutrition, College of Life Science and Nano Technology, Hannam University , Daejeon , South Korea – name: 1 Department of Food and Nutrition, College of Human Ecology, National Leading Research Laboratory of Clinical Nutrigenetics/Nutrigenomic, Yonsei University , Seoul , South Korea – name: 3 Research Center for Silver Science, Institute of Symbiotic Life-TECH, Yonsei University , Seoul , South Korea |
Author_xml | – sequence: 1 givenname: Gurum surname: Shin fullname: Shin, Gurum – sequence: 2 givenname: Kyunghye surname: Jang fullname: Jang, Kyunghye – sequence: 3 givenname: Minjoo surname: Kim fullname: Kim, Minjoo – sequence: 4 givenname: Jong Ho surname: Lee fullname: Lee, Jong Ho – sequence: 5 givenname: Hye Jin surname: Yoo fullname: Yoo, Hye Jin |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/32346379$$D View this record in MEDLINE/PubMed |
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CitedBy_id | crossref_primary_10_1002_adbi_202300378 crossref_primary_10_3390_metabo12121234 crossref_primary_10_21448_ijsm_1332875 crossref_primary_10_3390_jpm14080889 crossref_primary_10_1038_s41598_024_60022_9 crossref_primary_10_1371_journal_pone_0272145 crossref_primary_10_1002_iid3_669 crossref_primary_10_3389_fnut_2024_1469779 crossref_primary_10_1016_j_exer_2021_108799 crossref_primary_10_1080_07435800_2022_2127757 crossref_primary_10_1002_mnfr_202100337 crossref_primary_10_3389_fimmu_2023_1177285 |
Cites_doi | 10.1053/meta.2001.27195 10.1016/S1673-8527(08)60047-8 10.1038/srep23446 10.1186/s12937-018-0323-4 10.1186/s13256-019-1989-8 10.1016/j.jpeds.2016.02.055 10.3181/0711-MR-311 10.1001/jama.276.18.1473 10.1158/1055-9965.1052.13.6 10.1016/j.dsx.2016.12.021 10.1177/0961203308099634 10.1503/cmaj.122072 10.1055/s-0031-1283185 10.1371/journal.pone.0047183 10.1016/S0022-2275(20)32076-9 10.1111/j.1467-789X.2005.00159.x 10.1089/dia.2013.0264 10.1186/s12902-015-0002-9 10.1111/j.1478-3231.2011.02639.x 10.1007/s125-002-8243-1 10.1002/ams2.448 10.1111/cen.12576 10.1007/s11745-001-0812-7 10.1093/ajcn/82.6.1178 10.1016/j.amjcard.2012.07.003 10.1046/j.1532-5415.2003.51467.x 10.1093/gerona/61.6.575 10.1016/j.coi.2014.03.007 10.1530/eje.0.1480343 10.1210/jc.2005-1303 10.1001/archinte.165.5.500 10.1007/s10157-012-0728-x 10.5152/akd.2014.5787 10.3329/jhpn.v31i1.14749 10.1530/eje.0.1480657 10.1007/s10654-006-9082-1 10.1161/01.CIR.104.7.744 10.1159/000177929 10.1093/aje/kwi326 10.2337/diacare.26.5.1362 10.1016/j.cell.2014.10.039 |
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Copyright | Copyright © 2020 Shin, Jang, Kim, Lee and Yoo. Copyright © 2020 Shin, Jang, Kim, Lee and Yoo. 2020 Shin, Jang, Kim, Lee and Yoo |
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Keywords | inflammatory markers glucose-related markers gas chromatography-mass spectrometry white blood cell count plasma fatty acids |
Language | English |
License | Copyright © 2020 Shin, Jang, Kim, Lee and Yoo. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
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Title | Inflammatory Markers and Plasma Fatty Acids in Predicting WBC Level Alterations in Association With Glucose-Related Markers: A Cross-Sectional Study |
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