{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,16]],"date-time":"2026-09-16T06:02:25Z","timestamp":1789538545337,"version":"build-2803163510"},"reference-count":36,"publisher":"SAGE Publications","issue":"4","license":[{"start":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T00:00:00Z","timestamp":1777507200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"},{"start":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T00:00:00Z","timestamp":1777507200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"DOI":"10.13039\/100006545","name":"National Institute on Minority Health and Health Disparities","doi-asserted-by":"publisher","award":["K23MD016431"],"award-info":[{"award-number":["K23MD016431"]}],"id":[{"id":"10.13039\/100006545","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000056","name":"National Institute of Nursing Research","doi-asserted-by":"publisher","award":["T32NR009759"],"award-info":[{"award-number":["T32NR009759"]}],"id":[{"id":"10.13039\/100000056","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100009633","name":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","doi-asserted-by":"publisher","award":["P01HD30367"],"award-info":[{"award-number":["P01HD30367"]}],"id":[{"id":"10.13039\/100009633","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Biological Research For Nursing"],"published-print":{"date-parts":[[2026,10]]},"abstract":"<jats:sec>\n                    <jats:title>Introduction<\/jats:title>\n                    <jats:p>\n                      An imbalance between pro- and anti-inflammatory factors is implicated in the pathogenesis of preeclampsia (PE). Although\n                      <jats:italic toggle=\"yes\">IL10<\/jats:italic>\n                      (rs1800896) and\n                      <jats:italic toggle=\"yes\">IL6<\/jats:italic>\n                      (rs1800795) genotypes are known to influence circulating cytokine levels, their associations with longitudinal inflammatory profiles across pregnancy have not been well characterized.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      We conducted a retrospective case\u2013control study to longitudinally compare nine pro- and four anti-inflammatory cytokines across pregnancy based on\n                      <jats:italic toggle=\"yes\">IL6<\/jats:italic>\n                      and\n                      <jats:italic toggle=\"yes\">IL10<\/jats:italic>\n                      genotype. The cohort included 111 women with overweight\/obesity (37 with PE; 74 without PE), matched 2:1, and predominantly Black (72%). Separate 3 \u00d7 3 mixed multivariate analyses of variance (MANOVAs) assessed interactions between\n                      <jats:italic toggle=\"yes\">IL6<\/jats:italic>\n                      or\n                      <jats:italic toggle=\"yes\">IL10<\/jats:italic>\n                      genotype (between-subjects\u2019 factor) and pregnancy trimester (within-subjects factor). Pro- and anti-inflammatory cytokines were analyzed in separate models for each genotype. Due to the exploratory nature of the study and the examination of clinical relevance, statistical significance was set at\n                      <jats:italic toggle=\"yes\">p =<\/jats:italic>\n                      .10.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Pro-inflammatory cytokine levels changed over pregnancy (\n                      <jats:italic toggle=\"yes\">p &lt;<\/jats:italic>\n                      .05) but were not associated with\n                      <jats:italic toggle=\"yes\">IL6<\/jats:italic>\n                      or\n                      <jats:italic toggle=\"yes\">IL10<\/jats:italic>\n                      genotype (all\n                      <jats:italic toggle=\"yes\">p &gt;<\/jats:italic>\n                      .10). Anti-inflammatory cytokine levels also varied across pregnancy (\n                      <jats:italic toggle=\"yes\">p<\/jats:italic>\n                      &lt; .05).\n                      <jats:italic toggle=\"yes\">IL6<\/jats:italic>\n                      genotype was not associated with anti-inflammatory cytokine levels (\n                      <jats:italic toggle=\"yes\">p &gt;<\/jats:italic>\n                      .10). In contrast,\n                      <jats:italic toggle=\"yes\">IL10<\/jats:italic>\n                      genotype was significantly associated with differences in anti-inflammatory cytokine levels across genotypes (V = 0.22, F (8,162) = 2.48,\n                      <jats:italic toggle=\"yes\">p =<\/jats:italic>\n                      .014, \u03b7\n                      <jats:sub>\n                        <jats:italic toggle=\"yes\">p<\/jats:italic>\n                      <\/jats:sub>\n                      <jats:sup>2<\/jats:sup>\n                      = 0.11) and demonstrated an interaction effect with pregnancy trimester (V = 0.28, F (16,154) = 1.56,\n                      <jats:italic toggle=\"yes\">p =<\/jats:italic>\n                      .087, \u03b7\n                      <jats:sub>\n                        <jats:italic toggle=\"yes\">p<\/jats:italic>\n                      <\/jats:sub>\n                      <jats:sup>2<\/jats:sup>\n                      = 0.14).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>\n                      <jats:italic toggle=\"yes\">IL10<\/jats:italic>\n                      genotype may influence circulating anti-inflammatory cytokines across pregnancy and, as such, may contribute to preeclampsia by influencing anti-inflammatory cytokine expression across pregnancy.\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/10998004261445879","type":"journal-article","created":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T19:50:22Z","timestamp":1777578622000},"page":"508-515","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Impact of\n                    <i>IL6<\/i>\n                    and\n                    <i>IL10<\/i>\n                    Genotype on Cytokines and Preeclampsia in a Pregnant Multi-Ethnic Cohort of Women With Overweight and Obesity"],"prefix":"10.1177","volume":"28","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7187-3998","authenticated-orcid":false,"given":"Jennifer","family":"Woo","sequence":"first","affiliation":[{"name":"University of Texas at Arlington"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michelle","family":"Pearce","sequence":"additional","affiliation":[{"name":"University of Texas at Arlington"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4404-2427","authenticated-orcid":false,"given":"Ryan","family":"Hulla","sequence":"additional","affiliation":[{"name":"Texas Woman\u2019s University - Dallas"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1784-6067","authenticated-orcid":false,"given":"Yvette P.","family":"Conley","sequence":"additional","affiliation":[{"name":"University of Pittsburgh"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0654-7539","authenticated-orcid":false,"given":"McKenzie K.","family":"Jancsura","sequence":"additional","affiliation":[{"name":"The Ohio State University"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2026,4,30]]},"reference":[{"key":"e_1_3_6_2_1","doi-asserted-by":"publisher","DOI":"10.4103\/ijcm.ijcm_601_23"},{"key":"e_1_3_6_3_1","volume-title":"Provisional MAternal Mortality Rates","author":"Ahmad F. B.","year":"2026","unstructured":"Ahmad F. B., Cisewski J. A., Hoyert D. L. (2026). Provisional MAternal Mortality Rates. National Center for HEalth Statistics. https:\/\/doi.org\/10.15620\/20250305011"},{"key":"e_1_3_6_4_1","doi-asserted-by":"publisher","DOI":"10.1097\/AOG.0000000000003892"},{"issue":"15","key":"e_1_3_6_5_1","first-page":"2173638","article-title":"Comparison of test statistics of nonnormal and unbalanced samples for multivariate analysis of variance in terms of Type-I error rates","volume":"2019","author":"Ate\u015f C.","year":"2019","unstructured":"Ate\u015f C., Kaymaz \u00d6., Kale H. E., Tekindal M. A. (2019). Comparison of test statistics of nonnormal and unbalanced samples for multivariate analysis of variance in terms of Type-I error rates. Computational and Mathematical Methods in Medicine, 2019(15), Article 2173638. https:\/\/doi.org\/10.1155\/2019\/2173638","journal-title":"Computational and Mathematical Methods in Medicine"},{"key":"e_1_3_6_6_1","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2024.8931"},{"key":"e_1_3_6_7_1","doi-asserted-by":"publisher","DOI":"10.4103\/0971-9784.148325"},{"key":"e_1_3_6_8_1","doi-asserted-by":"publisher","DOI":"10.1080\/02701367.2016.1213352"},{"key":"e_1_3_6_9_1","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2393-13-82"},{"key":"e_1_3_6_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ajog.2023.10.002"},{"key":"e_1_3_6_11_1","doi-asserted-by":"publisher","DOI":"10.3390\/nu11071557"},{"key":"e_1_3_6_12_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00438-022-01923-0"},{"key":"e_1_3_6_13_1","volume-title":"Regression analysis and linear models: Concepts, applications, and implementation","author":"Darlington R. B.","year":"2016","unstructured":"Darlington R. B., Hayes A. F. (2016). Regression analysis and linear models: Concepts, applications, and implementation. Guilford Publications."},{"key":"e_1_3_6_14_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41581-022-00670-0"},{"issue":"16","key":"e_1_3_6_15_1","first-page":"9465","article-title":"Interluikin 10 secretion in relation to human IL-10 locus haplotypes.","volume":"05","author":"Eskdale J.","year":"1998","unstructured":"Eskdale J., Gallagher G., Verweij C., Keijsers V., Westendorp R. G., Huizinga T. W. (1998). Interluikin 10 secretion in relation to human IL-10 locus haplotypes. Proccedings of the National Academiy of Sciences of the United STates of America, 05(16), 9465\u20139470. https:\/\/doi.org\/10.1073\/pnas.95.16.9465","journal-title":"Proccedings of the National Academiy of Sciences of the United STates of America"},{"key":"e_1_3_6_16_1","doi-asserted-by":"publisher","DOI":"10.4172\/2161-1459.1000182"},{"key":"e_1_3_6_17_1","doi-asserted-by":"publisher","DOI":"10.1097\/NNR.0000000000000525"},{"key":"e_1_3_6_18_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.bbi.2022.01.008"},{"key":"e_1_3_6_19_1","doi-asserted-by":"publisher","DOI":"10.3389\/fimmu.2023.1156039"},{"key":"e_1_3_6_20_1","doi-asserted-by":"publisher","DOI":"10.3389\/fphys.2023.1130116"},{"key":"e_1_3_6_21_1","doi-asserted-by":"publisher","DOI":"10.1097\/MD.0000000000011773"},{"key":"e_1_3_6_22_1","doi-asserted-by":"publisher","DOI":"10.1080\/10641955.2025.2492084"},{"key":"e_1_3_6_23_1","doi-asserted-by":"publisher","DOI":"10.1111\/aji.13763"},{"key":"e_1_3_6_24_1","doi-asserted-by":"publisher","DOI":"10.1084\/jem.20190347"},{"key":"e_1_3_6_25_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11033-022-08129-y"},{"key":"e_1_3_6_26_1","doi-asserted-by":"publisher","DOI":"10.3389\/fgene.2022.829283"},{"key":"e_1_3_6_27_1","doi-asserted-by":"publisher","DOI":"10.62347\/OWVG7205"},{"key":"e_1_3_6_28_1","doi-asserted-by":"publisher","DOI":"10.1002\/ijgo.14333"},{"key":"e_1_3_6_29_1","doi-asserted-by":"publisher","DOI":"10.1097\/MD.0000000000030870"},{"key":"e_1_3_6_30_1","doi-asserted-by":"publisher","DOI":"10.1080\/14767058.2021.1918092"},{"key":"e_1_3_6_31_1","doi-asserted-by":"publisher","DOI":"10.1161\/HYPERTENSIONAHA.120.15870"},{"key":"e_1_3_6_32_1","doi-asserted-by":"publisher","DOI":"10.1093\/cei\/uxac023"},{"key":"e_1_3_6_33_1","doi-asserted-by":"publisher","DOI":"10.3390\/biom5043142"},{"key":"e_1_3_6_34_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cyto.2016.09.007"},{"key":"e_1_3_6_35_1","doi-asserted-by":"publisher","DOI":"10.1080\/15513815.2019.1675110"},{"key":"e_1_3_6_36_1","doi-asserted-by":"publisher","DOI":"10.1080\/15513815.2019.1683919"},{"key":"e_1_3_6_37_1","doi-asserted-by":"publisher","DOI":"10.1177\/1099800420985615"}],"container-title":["Biological Research For Nursing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/10998004261445879","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/full-xml\/10.1177\/10998004261445879","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/10998004261445879","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,9,16]],"date-time":"2026-09-16T05:06:35Z","timestamp":1789535195000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.1177\/10998004261445879"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,4,30]]},"references-count":36,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2026,10]]}},"alternative-id":["10.1177\/10998004261445879"],"URL":"https:\/\/doi.org\/10.1177\/10998004261445879","relation":{},"ISSN":["1099-8004","1552-4175"],"issn-type":[{"value":"1099-8004","type":"print"},{"value":"1552-4175","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,4,30]]}}}