{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,10]],"date-time":"2026-08-10T14:55:13Z","timestamp":1786373713627,"version":"build-2736575974"},"reference-count":43,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,7,24]],"date-time":"2026-07-24T00:00:00Z","timestamp":1784851200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Physiol."],"abstract":"<jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>\n                      To explore the association between single nucleotide polymorphisms (SNPs) of the potassium voltage-gated channel subfamily C member 1 (\n                      <jats:italic>KCNC1<\/jats:italic>\n                      ) gene and the improvement of aerobic capacity after high-intensity interval training (HIIT), and to screen potential genetic markers sensitive to HIIT.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      A total of 249 Han college students (115 males and 134 females, aged 21.00 \u00b1 0.07 years) were recruited and underwent 12 weeks of HIIT intervention, three times a week. Aerobic capacity indicators were measured before and after the intervention. Genotyping was performed using the Infinium CGA gene chip, and five\n                      <jats:italic>KCNC1<\/jats:italic>\n                      gene SNPs were obtained after quality control with PLINK software. Linear regression models were used to analyze the association between SNPs and the training change values (\u0394) of each indicator, with gender, age, height and baseline values as covariates.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      After 12 weeks of HIIT, VO\n                      <jats:sub>2<\/jats:sub>\n                      max\/kg, VCO\n                      <jats:sub>2<\/jats:sub>\n                      , and VE significantly increased (\n                      <jats:italic>P<\/jats:italic>\n                      \u00a0&amp;lt;\u00a00.01). Submaximal heart rate during running economy (RE) assessment decreased significantly (\n                      <jats:italic>P<\/jats:italic>\n                      \u00a0&amp;lt;\u00a00.01), whereas maximal heart rate did not change significantly (\n                      <jats:italic>P<\/jats:italic>\n                      \u00a0=\u00a00.124). Association analysis revealed that three SNPs were significantly associated with training sensitivity: rs12574348 was suggestively associated with the \u0394 values of VO\n                      <jats:sub>2<\/jats:sub>\n                      max\/kg (\n                      <jats:italic>\u03b2<\/jats:italic>\n                      \u00a0=\u00a0-0.9319,\n                      <jats:italic>P<\/jats:italic>\n                      \u00a0=\u00a00.048) and submaximal HR (RE,\n                      <jats:italic>\u03b2<\/jats:italic>\n                      \u00a0=\u00a03.069,\n                      <jats:italic>P<\/jats:italic>\n                      \u00a0=\u00a00.020), with CC-type subjects showing the greatest increase in VO\n                      <jats:sub>2<\/jats:sub>\n                      max\/kg and the greatest decrease in submaximal HR (RE); rs757511 was suggestively significantly associated with the \u0394 values of VCO\n                      <jats:sub>2<\/jats:sub>\n                      (\n                      <jats:italic>\u03b2<\/jats:italic>\n                      \u00a0=\u00a00.1076,\n                      <jats:italic>P<\/jats:italic>\n                      \u00a0=\u00a00.014) and maximal HR (\n                      <jats:italic>\u03b2<\/jats:italic>\n                      \u00a0=\u00a01.827,\n                      <jats:italic>P<\/jats:italic>\n                      \u00a0=\u00a00.048), with AA-type subjects showing the greatest increase in VCO\n                      <jats:sub>2<\/jats:sub>\n                      and GG-type subjects showing the greatest decrease in HR_max; rs61882396 was suggestively significantly associated with the \u0394 value of VO\n                      <jats:sub>2<\/jats:sub>\n                      \/kg (RE,\n                      <jats:italic>\u03b2<\/jats:italic>\n                      \u00a0=\u00a0-0.7673,\n                      <jats:italic>P<\/jats:italic>\n                      \u00a0=\u00a00.020), with AA-type subjects showing the greatest decrease in VO\n                      <jats:sub>2<\/jats:sub>\n                      \/kg (RE). None of the above SNPs were significantly associated with baseline indicators (\n                      <jats:italic>P<\/jats:italic>\n                      &amp;gt; 0.05).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>\n                      The polymorphisms of\n                      <jats:italic>KCNC1<\/jats:italic>\n                      gene rs12574348, rs757511, and rs61882396 are suggestively significantly associated with the improvement of aerobic capacity indicators after HIIT, and the effects are independent of baseline levels, suggesting potential involvement of\n                      <jats:italic>KCNC1<\/jats:italic>\n                      in training-related neuromuscular adaptations, although the exact mechanisms remain to be established, thereby influencing individual sensitivity to HIIT. This gene may serve as a potential genetic marker for predicting the training effect of HIIT.\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fphys.2026.1825638","type":"journal-article","created":{"date-parts":[[2026,7,24]],"date-time":"2026-07-24T04:23:24Z","timestamp":1784867004000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Association between KCNC1 gene polymorphisms and interindividual variability in aerobic capacity following high-intensity interval training"],"prefix":"10.3389","volume":"17","author":[{"given":"Yan","family":"Liu","sequence":"first","affiliation":[{"name":"Department of Sport, Anqing Normal University","place":["Anqing, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jihan","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Sport, Anqing Normal University","place":["Anqing, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Junren","family":"Lai","sequence":"additional","affiliation":[{"name":"Department of Sport, Anqing Normal University","place":["Anqing, China"]},{"name":"Biology Teaching and Research Group, No. 39 Middle School of Liuzhou","place":["Liuzhou, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenqi","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Sport, Anqing Normal University","place":["Anqing, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Duoqi","family":"Zhou","sequence":"additional","affiliation":[{"name":"Department of Sport, Anqing Normal University","place":["Anqing, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2026,7,24]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","DOI":"10.3389\/fgene.2020.00595","article-title":"Genome-wide association study reveals a novel association between MYBPC3 gene polymorphism, endurance athlete status, aerobic capacity and steroid metabolism","volume":"11","author":"Al-Khelaifi","year":"2020","journal-title":"Front. 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