新的生物标志物t6A在入院时能准确识别脓毒症患者,但无法预测预后

IF 8.8 1区 医学 Q1 CRITICAL CARE MEDICINE
Marcin F. Osuchowski, Barbara Adamik, Waldemar Gozdzik, Tomasz Skalec, Daniel Mascher, Heinz Redl, Johannes Zipperle, Gerhard Fritsch, Wolfgang Voelckel, Martin S. Winkler, Onnen Moerer, Helmut Schütz, Hermann Mascher
{"title":"新的生物标志物t6A在入院时能准确识别脓毒症患者,但无法预测预后","authors":"Marcin F. Osuchowski, Barbara Adamik, Waldemar Gozdzik, Tomasz Skalec, Daniel Mascher, Heinz Redl, Johannes Zipperle, Gerhard Fritsch, Wolfgang Voelckel, Martin S. Winkler, Onnen Moerer, Helmut Schütz, Hermann Mascher","doi":"10.1186/s13054-025-05354-2","DOIUrl":null,"url":null,"abstract":"<p>Sepsis is a life-threatening condition caused by the body’s extreme response to infection [1]. Early diagnosis of sepsis is crucial for improving patient outcomes, yet current diagnostic methods including microbiological cultures are delayed and frequently inconclusive. This has driven the search for novel biomarkers and detection systems capable of recognizing sepsis more rapidly and accurately [2]. Procalcitonin (PCT) is the most widely used biomarker for sepsis detection but its use is limited as circulating PCT concentration is influenced by noninfectious inflammation (e.g. trauma, surgery).</p><p>Nucleoside modifications are a hallmark of the post-transcriptional processing of transfer ribonucleic acid (tRNA) that generate multiple structurally modified nucleosides [3]. One of such tRNA-modified nucleosides, N6-threonylcarbamoyladenosine (t<sup>6</sup>A), is critical for ensuring efficient protein synthesis in health and disease [4]. We discovered that circulating t<sup>6</sup>A possesses a diagnostic potential in sepsis. Consequently, we evaluated the diagnostic accuracy of t<sup>6</sup>A in differentiating bacterial sepsis and COVID-19 from two different non-septic patient cohorts: i) patients undergoing elective coronary artery bypass graft (CABG) surgery and ii) severe polytrauma patients. In all cohorts, t<sup>6</sup>A diagnostic accuracy was compared to PCT. Additionally, we tested t<sup>6</sup>A potential to predict death/survival in patients with sepsis.</p><p>This multicenter retrospective observational study analyzed plasma samples from four cohorts (Supplementary Table 1). The study included 81 patients with bacterial sepsis (cohort 1) and 49 patients with severe COVID-19 infection (cohort 2) diagnosed upon ICU/Emergency admission , 87 patients undergoing elective CABG surgery (cohort 3) and 64 severe (Injury Severity Score &gt; 15) polytrauma patients (cohort 4). Sepsis in cohort 1 was defined according to the Sepsis-3 criteria, and all patients received treatment aligned with the Surviving Sepsis Campaign guidelines. In COVID-19 patients, SARS-CoV-2 infection was confirmed by molecular test. The CABG and polytrauma groups were used as non-septic comparators to assess t<sup>6</sup>A’s diagnostic specificity and accuracy against patients with sepsis and those with COVID-19. We compared blood samples collected at admission for the sepsis and COVID-19 cohorts, to samples collected 24 h post-surgery (cohort 3) and trauma (cohort 4). Plasma t<sup>6</sup>A concentrations were measured using tandem mass spectrometry with stable isotope internal standardization. PCT was measured using standard Brahms PCT luminescence immunoassay. Statistical analyses of the receiver operating characteristic (ROC) curves were carried out with a total of 50,000 stratified bootstrap samples to estimate the 95% confidence interval (CI) of the area under the curve (AUC) of the ROC curve and its optimal threshold. The AUCs were compared via De Long’s two-sided test [5].</p><p>t<sup>6</sup>A demonstrated outstanding diagnostic accuracy for sepsis at the ICU/Emergency admission. In separately evaluated exploratory and validation CABG cohorts, t<sup>6</sup>A consistently showed greater accuracy (AUC &gt; 90%) compared to PCT (AUC 80–88%). t<sup>6</sup>A accuracy against the pooled CABG patients (cohort 3) achieved an AUC of 95% (vs. 88% for PCT, <i>p</i> &lt; 0.05) (Fig. 1A). Against the polytrauma group, which represented a more clinically relevant comparator, t<sup>6</sup>A again outperformed PCT; its AUC was 97% compared to 88% for PCT (<i>p</i> &lt; 0.05) (Fig. 1B). In the COVID-19 cohort, t<sup>6</sup>A also displayed excellent diagnostic performance when SARS-CoV-2-infected patients were compared to CABG (AUC 87%, Fig. 1C) and polytrauma (AUC 93%, Fig. 1D) patients. PCT measurement was not differentiating (AUC 50–52%, <i>p</i> &gt; 0.05). Notably, the optimal diagnostic threshold for t<sup>6</sup>A was nearly identical (3% deviation) against CABG (40.0 ng/mL) and polytrauma (38.8 ng/mL) comparators; it varied by 22% for PCT (2.04 and 1.6 ng/mL).</p><figure><figcaption><b data-test=\"figure-caption-text\">Fig. 1</b></figcaption><picture><source srcset=\"//media.springernature.com/lw685/springer-static/image/art%3A10.1186%2Fs13054-025-05354-2/MediaObjects/13054_2025_5354_Fig1_HTML.png?as=webp\" type=\"image/webp\"/><img alt=\"figure 1\" aria-describedby=\"Fig1\" height=\"666\" loading=\"lazy\" src=\"//media.springernature.com/lw685/springer-static/image/art%3A10.1186%2Fs13054-025-05354-2/MediaObjects/13054_2025_5354_Fig1_HTML.png\" width=\"685\"/></picture><p>Diagnostic performance of t<sup>6</sup>A and PCT for detecting bacterial sepsis (<b>A</b>, <b>B</b>) and COVID-19 (<b>C</b>, <b>D</b>) at the ICU/Emergency admission. n: the first number in parentheses defines the number of sepsis or COVID-19 patients; the second number indicates the number of CABG or polytrauma patients. CI: 95% Confidence Intervals</p><span>Full size image</span><svg aria-hidden=\"true\" focusable=\"false\" height=\"16\" role=\"img\" width=\"16\"><use xlink:href=\"#icon-eds-i-chevron-right-small\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"></use></svg></figure><p>Despite its strong diagnostic performance, t<sup>6</sup>A showed a limited utility for predicting sepsis outcomes. At the ICU/Emergency admission, t<sup>6</sup>A concentrations exhibited a considerable overlap between survivors and non-survivors and failed to show any protracted post-admission separation, resulting in an AUC of only 62%. PCT concentrations demonstrated a similar overlap dynamics and performed only modestly better, with an AUC of 72%, suggesting that while t<sup>6</sup>A is highly effective for identifying sepsis, it lacks prognostic value. This discrepancy highlights the biomarker’s primary utility in diagnosis rather than outcome prediction.</p><p>This is the first report regarding the potential utility of t<sup>6</sup>A as a diagnostic biomarker in patients with sepsis. We show t<sup>6</sup>A as a highly accurate and reliable biomarker for early sepsis diagnosis at the ICU/Emergency admission. t<sup>6</sup>A outperformed PCT in differentiating septic patients from non-septic controls including CABG and polytrauma cohorts. Insensitivity of t<sup>6</sup>A to sterile inflammation positions it as a promising diagnostic tool for clinical use. However, the lack of a commercially available assay for rapid t<sup>6</sup>A measurement limits its utility and this deficiency needs to be addressed. Further studies are required to evaluate t<sup>6</sup>A under different ICU conditions, including localized (non-sepsis) infections and extracorporeal therapies, to confirm its broader clinical applicability.</p><p>The patient datasets generated and/or analyzed during the current study are available from the corresponding author upon a reasonable request.</p><p>The patient datasets generated and/or analyzed during the current study are available from the corresponding author upon a reasonable request.</p><dl><dt style=\"min-width:50px;\"><dfn>\n<i>AUC</i> :</dfn></dt><dd>\n<p>Area under the curve</p>\n</dd><dt style=\"min-width:50px;\"><dfn>\n<i>CABG</i> :</dfn></dt><dd>\n<p>Coronary artery bypass graft surgery</p>\n</dd><dt style=\"min-width:50px;\"><dfn>\n<i>COVID-19</i> :</dfn></dt><dd>\n<p>Coronavirus disease 2019</p>\n</dd><dt style=\"min-width:50px;\"><dfn>\n<i>CI</i> :</dfn></dt><dd>\n<p>Confidence interval</p>\n</dd><dt style=\"min-width:50px;\"><dfn>\n<i>ICU</i> :</dfn></dt><dd>\n<p>Intensive care unit</p>\n</dd><dt style=\"min-width:50px;\"><dfn>\n<i>ISS</i> :</dfn></dt><dd>\n<p>Injury severity score</p>\n</dd><dt style=\"min-width:50px;\"><dfn>\n<i>PCT</i> :</dfn></dt><dd>\n<p>Procalcitonin</p>\n</dd><dt style=\"min-width:50px;\"><dfn>\n<i>ROC</i> :</dfn></dt><dd>\n<p>Receiver-operating characteristic</p>\n</dd><dt style=\"min-width:50px;\"><dfn>\n<i>t</i>\n<sup><i>6</i></sup>\n<i>A</i> :</dfn></dt><dd>\n<p><i>N</i><sup>6</sup>-Threonylcarbamoyladenosine</p>\n</dd><dt style=\"min-width:50px;\"><dfn>\n<i>tRNA</i> :</dfn></dt><dd>\n<p>Transfer ribonucleic acid</p>\n</dd></dl><ol data-track-component=\"outbound reference\" data-track-context=\"references section\"><li data-counter=\"1.\"><p>Vincent JL, Jones G, David S, et al. Frequency and mortality of septic shock in Europe and North America: a systematic review and meta-analysis. Crit Care. 2019;23(1):196.</p><p>PubMed PubMed Central Google Scholar </p></li><li data-counter=\"2.\"><p>Liu C, Song X, Liu J, et al. Consistency between metagenomic next-generation sequencing versus traditional microbiological tests for infective disease: systemic review and meta-analysis. Crit Care. 2025;29(1):55.</p><p>PubMed PubMed Central Google Scholar </p></li><li data-counter=\"3.\"><p>Boccaletto P, Machnicka MA, Purta E, et al. MODOMICS: a database of RNA modification pathways. 2017 update. Nucleic Acids Res. 2018;46(D1):D303–7.</p><p>CAS PubMed Google Scholar </p></li><li data-counter=\"4.\"><p>Chujo T, Tomizawa K. Human transfer RNA modopathies: diseases caused by aberrations in transfer RNA modifications. FEBS J. 2021;288(24):7096–122.</p><p>CAS PubMed PubMed Central Google Scholar </p></li><li data-counter=\"5.\"><p>DeLong ER, DeLong DM, Clarke-Pearson DL. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics. 1988;44(3):837–45.</p><p>CAS PubMed Google Scholar </p></li></ol><p>Download references<svg aria-hidden=\"true\" focusable=\"false\" height=\"16\" role=\"img\" width=\"16\"><use xlink:href=\"#icon-eds-i-download-medium\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"></use></svg></p><p>Not applicable.</p><p>Not applicable.</p><h3>Authors and Affiliations</h3><ol><li><p>Ludwig Boltzmann Institute for Traumatology, The Research Center in Cooperation With AUVA, Donaueschingenstraße 13, 1200, Vienna, Austria</p><p>Marcin F. Osuchowski, Heinz Redl, Johannes Zipperle &amp; Gerhard Fritsch</p></li><li><p>Clinical Department of Anesthesiology and Intensive Therapy, Wroclaw Medical University, Wroclaw, Poland</p><p>Barbara Adamik, Waldemar Gozdzik &amp; Tomasz Skalec</p></li><li><p>Pharm-Analyt Labor, Baden, Austria</p><p>Daniel Mascher &amp; Hermann Mascher</p></li><li><p>Department of Anesthesiology and Intensive Care Medicine, AUVA Trauma Center Salzburg, Salzburg, Austria</p><p>Gerhard Fritsch &amp; Wolfgang Voelckel</p></li><li><p>Department of Anesthesiology, University Medical Center Göttingen, Göttingen, Germany</p><p>Martin S. Winkler &amp; Onnen Moerer</p></li><li><p>BEBAC, Vienna, Austria</p><p>Helmut Schütz</p></li><li><p>Center for Medical Data Science of the Medical University of Vienna, Vienna, Austria</p><p>Helmut Schütz</p></li></ol><span>Authors</span><ol><li><span>Marcin F. Osuchowski</span>View author publications<p><span>You can also search for this author in</span><span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Barbara Adamik</span>View author publications<p><span>You can also search for this author in</span><span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Waldemar Gozdzik</span>View author publications<p><span>You can also search for this author in</span><span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Tomasz Skalec</span>View author publications<p><span>You can also search for this author in</span><span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Daniel Mascher</span>View author publications<p><span>You can also search for this author in</span><span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Heinz Redl</span>View author publications<p><span>You can also search for this author in</span><span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Johannes Zipperle</span>View author publications<p><span>You can also search for this author in</span><span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Gerhard Fritsch</span>View author publications<p><span>You can also search for this author in</span><span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Wolfgang Voelckel</span>View author publications<p><span>You can also search for this author in</span><span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Martin S. Winkler</span>View author publications<p><span>You can also search for this author in</span><span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Onnen Moerer</span>View author publications<p><span>You can also search for this author in</span><span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Helmut Schütz</span>View author publications<p><span>You can also search for this author in</span><span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Hermann Mascher</span>View author publications<p><span>You can also search for this author in</span><span>PubMed<span> </span>Google Scholar</span></p></li></ol><h3>Contributions</h3><p>MFO and HM conceived of the study and MFO wrote the text. MFO, BA, WG, WV and HM developed the study design. DM, HM, MFO, TS, JZ, OM and GF performed research analysis. HS, BA, JZ and MFO performed data analysis. All authors helped with data interpretation, editing of the manuscript, and read and approved the final text.</p><h3>Corresponding author</h3><p>Correspondence to Marcin F. Osuchowski.</p><h3>Ethics approval and consent to participate</h3>\n<p>The study including patients in the cohorts 1 (sepsis) and 3 (CABG) was approved by the Bioethical Committee of Wroclaw Medical University on November 29, 2018 (approval no. 710/2018). The study including patients in the cohort 3 (COVID-19) was approved by the Bioethical Committee of the University Medical Center Göttingen on June 27, 2018 (SeptImmun Study No. 24/4/19Ü). The study including patients in the cohort 4 (polytrauma) was approved by the Bioethical Committee of Allgemeine Unfallversicherungsanstalt on September 15, 2016 (PRIME study No. 09/2016). This research was conducted in accordance with the Helsinki Declaration of 1975, as revised in 2008.</p>\n<h3>Consent for publication</h3>\n<p>Not applicable.</p>\n<h3>Competing interests</h3>\n<p>Prof. Mascher is a consultant at pharm-analyt Labor, Baden, Austria, and holds patent applications for the use of t<sup>6</sup>A to monitor sepsis conditions. The other authors report no competing interest.</p><h3>Publisher's Note</h3><p>Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.</p><h3>Supplementary file 1.</h3><p><b>Open Access</b> This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.</p>\n<p>Reprints and permissions</p><img alt=\"Check for updates. 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0-.92-.08-1.33-.25-.41-.16-.77-.4-1.08-.7-.3-.31-.54-.69-.72-1.13-.17-.44-.26-.95-.26-1.52zm4.61-.62c0-.55-.11-.98-.34-1.28-.23-.31-.58-.47-1.06-.47-.41 0-.77.15-1.08.45-.31.29-.5.73-.57 1.3zm3.01 2.23c.31.24.61.43.92.57.3.13.63.2.98.2.38 0 .65-.08.83-.23s.27-.35.27-.6c0-.14-.05-.26-.13-.37-.08-.1-.2-.2-.34-.28-.14-.09-.29-.16-.47-.23l-.53-.22c-.23-.09-.46-.18-.69-.3-.23-.11-.44-.24-.62-.4s-.33-.35-.45-.55c-.12-.21-.18-.46-.18-.75 0-.61.23-1.1.68-1.49.44-.38 1.06-.57 1.83-.57.48 0 .91.08 1.29.25s.71.36.99.57l-.74.98c-.24-.17-.49-.32-.73-.42-.25-.11-.51-.16-.78-.16-.35 0-.6.07-.76.21-.17.15-.25.33-.25.54 0 .14.04.26.12.36s.18.18.31.26c.14.07.29.14.46.21l.54.19c.23.09.47.18.7.29s.44.24.64.4c.19.16.34.35.46.58.11.23.17.5.17.82 0 .3-.06.58-.17.83-.12.26-.29.48-.51.68-.23.19-.51.34-.84.45-.34.11-.72.17-1.15.17-.48 0-.95-.09-1.41-.27-.46-.19-.86-.41-1.2-.68z" fill="#535353"/></g></svg>\" width=\"57\"/><h3>Cite this article</h3><p>Osuchowski, M.F., Adamik, B., Gozdzik, W. <i>et al.</i> The novel biomarker t<sup>6</sup>A accurately identified septic patients at admission but failed to predict outcome. <i>Crit Care</i> <b>29</b>, 129 (2025). https://doi.org/10.1186/s13054-025-05354-2</p><p>Download citation<svg aria-hidden=\"true\" focusable=\"false\" height=\"16\" role=\"img\" width=\"16\"><use xlink:href=\"#icon-eds-i-download-medium\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"></use></svg></p><ul data-test=\"publication-history\"><li><p>Received<span>: </span><span><time datetime=\"2025-02-12\">12 February 2025</time></span></p></li><li><p>Accepted<span>: </span><span><time datetime=\"2025-03-04\">04 March 2025</time></span></p></li><li><p>Published<span>: </span><span><time datetime=\"2025-03-20\">20 March 2025</time></span></p></li><li><p>DOI</abbr><span>: </span><span>https://doi.org/10.1186/s13054-025-05354-2</span></p></li></ul><h3>Share this article</h3><p>Anyone you share the following link with will be able to read this content:</p><button data-track=\"click\" data-track-action=\"get shareable link\" data-track-external=\"\" data-track-label=\"button\" type=\"button\">Get shareable link</button><p>Sorry, a shareable link is not currently available for this article.</p><p data-track=\"click\" data-track-action=\"select share url\" data-track-label=\"button\"></p><button data-track=\"click\" data-track-action=\"copy share url\" data-track-external=\"\" data-track-label=\"button\" type=\"button\">Copy to clipboard</button><p> Provided by the Springer Nature SharedIt content-sharing initiative </p>","PeriodicalId":10811,"journal":{"name":"Critical Care","volume":"214 1","pages":""},"PeriodicalIF":8.8000,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The novel biomarker t6A accurately identified septic patients at admission but failed to predict outcome\",\"authors\":\"Marcin F. Osuchowski, Barbara Adamik, Waldemar Gozdzik, Tomasz Skalec, Daniel Mascher, Heinz Redl, Johannes Zipperle, Gerhard Fritsch, Wolfgang Voelckel, Martin S. Winkler, Onnen Moerer, Helmut Schütz, Hermann Mascher\",\"doi\":\"10.1186/s13054-025-05354-2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Sepsis is a life-threatening condition caused by the body’s extreme response to infection [1]. Early diagnosis of sepsis is crucial for improving patient outcomes, yet current diagnostic methods including microbiological cultures are delayed and frequently inconclusive. This has driven the search for novel biomarkers and detection systems capable of recognizing sepsis more rapidly and accurately [2]. Procalcitonin (PCT) is the most widely used biomarker for sepsis detection but its use is limited as circulating PCT concentration is influenced by noninfectious inflammation (e.g. trauma, surgery).</p><p>Nucleoside modifications are a hallmark of the post-transcriptional processing of transfer ribonucleic acid (tRNA) that generate multiple structurally modified nucleosides [3]. One of such tRNA-modified nucleosides, N6-threonylcarbamoyladenosine (t<sup>6</sup>A), is critical for ensuring efficient protein synthesis in health and disease [4]. We discovered that circulating t<sup>6</sup>A possesses a diagnostic potential in sepsis. Consequently, we evaluated the diagnostic accuracy of t<sup>6</sup>A in differentiating bacterial sepsis and COVID-19 from two different non-septic patient cohorts: i) patients undergoing elective coronary artery bypass graft (CABG) surgery and ii) severe polytrauma patients. In all cohorts, t<sup>6</sup>A diagnostic accuracy was compared to PCT. Additionally, we tested t<sup>6</sup>A potential to predict death/survival in patients with sepsis.</p><p>This multicenter retrospective observational study analyzed plasma samples from four cohorts (Supplementary Table 1). The study included 81 patients with bacterial sepsis (cohort 1) and 49 patients with severe COVID-19 infection (cohort 2) diagnosed upon ICU/Emergency admission , 87 patients undergoing elective CABG surgery (cohort 3) and 64 severe (Injury Severity Score &gt; 15) polytrauma patients (cohort 4). Sepsis in cohort 1 was defined according to the Sepsis-3 criteria, and all patients received treatment aligned with the Surviving Sepsis Campaign guidelines. In COVID-19 patients, SARS-CoV-2 infection was confirmed by molecular test. The CABG and polytrauma groups were used as non-septic comparators to assess t<sup>6</sup>A’s diagnostic specificity and accuracy against patients with sepsis and those with COVID-19. We compared blood samples collected at admission for the sepsis and COVID-19 cohorts, to samples collected 24 h post-surgery (cohort 3) and trauma (cohort 4). Plasma t<sup>6</sup>A concentrations were measured using tandem mass spectrometry with stable isotope internal standardization. PCT was measured using standard Brahms PCT luminescence immunoassay. Statistical analyses of the receiver operating characteristic (ROC) curves were carried out with a total of 50,000 stratified bootstrap samples to estimate the 95% confidence interval (CI) of the area under the curve (AUC) of the ROC curve and its optimal threshold. The AUCs were compared via De Long’s two-sided test [5].</p><p>t<sup>6</sup>A demonstrated outstanding diagnostic accuracy for sepsis at the ICU/Emergency admission. In separately evaluated exploratory and validation CABG cohorts, t<sup>6</sup>A consistently showed greater accuracy (AUC &gt; 90%) compared to PCT (AUC 80–88%). t<sup>6</sup>A accuracy against the pooled CABG patients (cohort 3) achieved an AUC of 95% (vs. 88% for PCT, <i>p</i> &lt; 0.05) (Fig. 1A). Against the polytrauma group, which represented a more clinically relevant comparator, t<sup>6</sup>A again outperformed PCT; its AUC was 97% compared to 88% for PCT (<i>p</i> &lt; 0.05) (Fig. 1B). In the COVID-19 cohort, t<sup>6</sup>A also displayed excellent diagnostic performance when SARS-CoV-2-infected patients were compared to CABG (AUC 87%, Fig. 1C) and polytrauma (AUC 93%, Fig. 1D) patients. PCT measurement was not differentiating (AUC 50–52%, <i>p</i> &gt; 0.05). Notably, the optimal diagnostic threshold for t<sup>6</sup>A was nearly identical (3% deviation) against CABG (40.0 ng/mL) and polytrauma (38.8 ng/mL) comparators; it varied by 22% for PCT (2.04 and 1.6 ng/mL).</p><figure><figcaption><b data-test=\\\"figure-caption-text\\\">Fig. 1</b></figcaption><picture><source srcset=\\\"//media.springernature.com/lw685/springer-static/image/art%3A10.1186%2Fs13054-025-05354-2/MediaObjects/13054_2025_5354_Fig1_HTML.png?as=webp\\\" type=\\\"image/webp\\\"/><img alt=\\\"figure 1\\\" aria-describedby=\\\"Fig1\\\" height=\\\"666\\\" loading=\\\"lazy\\\" src=\\\"//media.springernature.com/lw685/springer-static/image/art%3A10.1186%2Fs13054-025-05354-2/MediaObjects/13054_2025_5354_Fig1_HTML.png\\\" width=\\\"685\\\"/></picture><p>Diagnostic performance of t<sup>6</sup>A and PCT for detecting bacterial sepsis (<b>A</b>, <b>B</b>) and COVID-19 (<b>C</b>, <b>D</b>) at the ICU/Emergency admission. n: the first number in parentheses defines the number of sepsis or COVID-19 patients; the second number indicates the number of CABG or polytrauma patients. CI: 95% Confidence Intervals</p><span>Full size image</span><svg aria-hidden=\\\"true\\\" focusable=\\\"false\\\" height=\\\"16\\\" role=\\\"img\\\" width=\\\"16\\\"><use xlink:href=\\\"#icon-eds-i-chevron-right-small\\\" xmlns:xlink=\\\"http://www.w3.org/1999/xlink\\\"></use></svg></figure><p>Despite its strong diagnostic performance, t<sup>6</sup>A showed a limited utility for predicting sepsis outcomes. At the ICU/Emergency admission, t<sup>6</sup>A concentrations exhibited a considerable overlap between survivors and non-survivors and failed to show any protracted post-admission separation, resulting in an AUC of only 62%. PCT concentrations demonstrated a similar overlap dynamics and performed only modestly better, with an AUC of 72%, suggesting that while t<sup>6</sup>A is highly effective for identifying sepsis, it lacks prognostic value. This discrepancy highlights the biomarker’s primary utility in diagnosis rather than outcome prediction.</p><p>This is the first report regarding the potential utility of t<sup>6</sup>A as a diagnostic biomarker in patients with sepsis. We show t<sup>6</sup>A as a highly accurate and reliable biomarker for early sepsis diagnosis at the ICU/Emergency admission. t<sup>6</sup>A outperformed PCT in differentiating septic patients from non-septic controls including CABG and polytrauma cohorts. Insensitivity of t<sup>6</sup>A to sterile inflammation positions it as a promising diagnostic tool for clinical use. However, the lack of a commercially available assay for rapid t<sup>6</sup>A measurement limits its utility and this deficiency needs to be addressed. Further studies are required to evaluate t<sup>6</sup>A under different ICU conditions, including localized (non-sepsis) infections and extracorporeal therapies, to confirm its broader clinical applicability.</p><p>The patient datasets generated and/or analyzed during the current study are available from the corresponding author upon a reasonable request.</p><p>The patient datasets generated and/or analyzed during the current study are available from the corresponding author upon a reasonable request.</p><dl><dt style=\\\"min-width:50px;\\\"><dfn>\\n<i>AUC</i> :</dfn></dt><dd>\\n<p>Area under the curve</p>\\n</dd><dt style=\\\"min-width:50px;\\\"><dfn>\\n<i>CABG</i> :</dfn></dt><dd>\\n<p>Coronary artery bypass graft surgery</p>\\n</dd><dt style=\\\"min-width:50px;\\\"><dfn>\\n<i>COVID-19</i> :</dfn></dt><dd>\\n<p>Coronavirus disease 2019</p>\\n</dd><dt style=\\\"min-width:50px;\\\"><dfn>\\n<i>CI</i> :</dfn></dt><dd>\\n<p>Confidence interval</p>\\n</dd><dt style=\\\"min-width:50px;\\\"><dfn>\\n<i>ICU</i> :</dfn></dt><dd>\\n<p>Intensive care unit</p>\\n</dd><dt style=\\\"min-width:50px;\\\"><dfn>\\n<i>ISS</i> :</dfn></dt><dd>\\n<p>Injury severity score</p>\\n</dd><dt style=\\\"min-width:50px;\\\"><dfn>\\n<i>PCT</i> :</dfn></dt><dd>\\n<p>Procalcitonin</p>\\n</dd><dt style=\\\"min-width:50px;\\\"><dfn>\\n<i>ROC</i> :</dfn></dt><dd>\\n<p>Receiver-operating characteristic</p>\\n</dd><dt style=\\\"min-width:50px;\\\"><dfn>\\n<i>t</i>\\n<sup><i>6</i></sup>\\n<i>A</i> :</dfn></dt><dd>\\n<p><i>N</i><sup>6</sup>-Threonylcarbamoyladenosine</p>\\n</dd><dt style=\\\"min-width:50px;\\\"><dfn>\\n<i>tRNA</i> :</dfn></dt><dd>\\n<p>Transfer ribonucleic acid</p>\\n</dd></dl><ol data-track-component=\\\"outbound reference\\\" data-track-context=\\\"references section\\\"><li data-counter=\\\"1.\\\"><p>Vincent JL, Jones G, David S, et al. 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FEBS J. 2021;288(24):7096–122.</p><p>CAS PubMed PubMed Central Google Scholar </p></li><li data-counter=\\\"5.\\\"><p>DeLong ER, DeLong DM, Clarke-Pearson DL. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics. 1988;44(3):837–45.</p><p>CAS PubMed Google Scholar </p></li></ol><p>Download references<svg aria-hidden=\\\"true\\\" focusable=\\\"false\\\" height=\\\"16\\\" role=\\\"img\\\" width=\\\"16\\\"><use xlink:href=\\\"#icon-eds-i-download-medium\\\" xmlns:xlink=\\\"http://www.w3.org/1999/xlink\\\"></use></svg></p><p>Not applicable.</p><p>Not applicable.</p><h3>Authors and Affiliations</h3><ol><li><p>Ludwig Boltzmann Institute for Traumatology, The Research Center in Cooperation With AUVA, Donaueschingenstraße 13, 1200, Vienna, Austria</p><p>Marcin F. Osuchowski, Heinz Redl, Johannes Zipperle &amp; Gerhard Fritsch</p></li><li><p>Clinical Department of Anesthesiology and Intensive Therapy, Wroclaw Medical University, Wroclaw, Poland</p><p>Barbara Adamik, Waldemar Gozdzik &amp; Tomasz Skalec</p></li><li><p>Pharm-Analyt Labor, Baden, Austria</p><p>Daniel Mascher &amp; Hermann Mascher</p></li><li><p>Department of Anesthesiology and Intensive Care Medicine, AUVA Trauma Center Salzburg, Salzburg, Austria</p><p>Gerhard Fritsch &amp; Wolfgang Voelckel</p></li><li><p>Department of Anesthesiology, University Medical Center Göttingen, Göttingen, Germany</p><p>Martin S. Winkler &amp; Onnen Moerer</p></li><li><p>BEBAC, Vienna, Austria</p><p>Helmut Schütz</p></li><li><p>Center for Medical Data Science of the Medical University of Vienna, Vienna, Austria</p><p>Helmut Schütz</p></li></ol><span>Authors</span><ol><li><span>Marcin F. Osuchowski</span>View author publications<p><span>You can also search for this author in</span><span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Barbara Adamik</span>View author publications<p><span>You can also search for this author in</span><span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Waldemar Gozdzik</span>View author publications<p><span>You can also search for this author in</span><span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Tomasz Skalec</span>View author publications<p><span>You can also search for this author in</span><span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Daniel Mascher</span>View author publications<p><span>You can also search for this author in</span><span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Heinz Redl</span>View author publications<p><span>You can also search for this author in</span><span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Johannes Zipperle</span>View author publications<p><span>You can also search for this author in</span><span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Gerhard Fritsch</span>View author publications<p><span>You can also search for this author in</span><span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Wolfgang Voelckel</span>View author publications<p><span>You can also search for this author in</span><span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Martin S. Winkler</span>View author publications<p><span>You can also search for this author in</span><span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Onnen Moerer</span>View author publications<p><span>You can also search for this author in</span><span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Helmut Schütz</span>View author publications<p><span>You can also search for this author in</span><span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Hermann Mascher</span>View author publications<p><span>You can also search for this author in</span><span>PubMed<span> </span>Google Scholar</span></p></li></ol><h3>Contributions</h3><p>MFO and HM conceived of the study and MFO wrote the text. MFO, BA, WG, WV and HM developed the study design. DM, HM, MFO, TS, JZ, OM and GF performed research analysis. HS, BA, JZ and MFO performed data analysis. All authors helped with data interpretation, editing of the manuscript, and read and approved the final text.</p><h3>Corresponding author</h3><p>Correspondence to Marcin F. Osuchowski.</p><h3>Ethics approval and consent to participate</h3>\\n<p>The study including patients in the cohorts 1 (sepsis) and 3 (CABG) was approved by the Bioethical Committee of Wroclaw Medical University on November 29, 2018 (approval no. 710/2018). The study including patients in the cohort 3 (COVID-19) was approved by the Bioethical Committee of the University Medical Center Göttingen on June 27, 2018 (SeptImmun Study No. 24/4/19Ü). The study including patients in the cohort 4 (polytrauma) was approved by the Bioethical Committee of Allgemeine Unfallversicherungsanstalt on September 15, 2016 (PRIME study No. 09/2016). This research was conducted in accordance with the Helsinki Declaration of 1975, as revised in 2008.</p>\\n<h3>Consent for publication</h3>\\n<p>Not applicable.</p>\\n<h3>Competing interests</h3>\\n<p>Prof. Mascher is a consultant at pharm-analyt Labor, Baden, Austria, and holds patent applications for the use of t<sup>6</sup>A to monitor sepsis conditions. 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The novel biomarker t<sup>6</sup>A accurately identified septic patients at admission but failed to predict outcome. <i>Crit Care</i> <b>29</b>, 129 (2025). https://doi.org/10.1186/s13054-025-05354-2</p><p>Download citation<svg aria-hidden=\\\"true\\\" focusable=\\\"false\\\" height=\\\"16\\\" role=\\\"img\\\" width=\\\"16\\\"><use xlink:href=\\\"#icon-eds-i-download-medium\\\" xmlns:xlink=\\\"http://www.w3.org/1999/xlink\\\"></use></svg></p><ul data-test=\\\"publication-history\\\"><li><p>Received<span>: </span><span><time datetime=\\\"2025-02-12\\\">12 February 2025</time></span></p></li><li><p>Accepted<span>: </span><span><time datetime=\\\"2025-03-04\\\">04 March 2025</time></span></p></li><li><p>Published<span>: </span><span><time datetime=\\\"2025-03-20\\\">20 March 2025</time></span></p></li><li><p>DOI</abbr><span>: </span><span>https://doi.org/10.1186/s13054-025-05354-2</span></p></li></ul><h3>Share this article</h3><p>Anyone you share the following link with will be able to 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摘要

败血症是一种危及生命的疾病,是由身体对感染的极端反应引起的。早期诊断败血症对改善患者预后至关重要,但目前的诊断方法,包括微生物培养,是延迟和经常不确定的。这促使人们寻找能够更快速、更准确地识别败血症的新型生物标志物和检测系统。降钙素原(PCT)是最广泛应用于脓毒症检测的生物标志物,但其使用受到限制,因为循环PCT浓度受非感染性炎症(如创伤、手术)的影响。核苷修饰是转移核糖核酸(tRNA)转录后加工的一个标志,它产生多个结构修饰的核苷[3]。其中一种trna修饰的核苷,n6 -苏氨酸氨基氨酰基腺苷(t6A),对于确保健康和疾病中有效的蛋白质合成至关重要。我们发现循环t6A在脓毒症中具有诊断潜力。因此,我们评估了t6A在两个不同的非脓毒症患者队列中区分细菌性脓毒症和COVID-19的诊断准确性:i)接受选择性冠状动脉旁路移植术(CABG)的患者和ii)严重多发创伤患者。在所有队列中,t6A诊断准确性与PCT进行了比较。此外,我们测试了t6A预测脓毒症患者死亡/生存的潜力。本多中心回顾性观察性研究分析了4个队列的血浆样本(补充表1)。该研究包括在ICU/急诊入院时诊断为细菌性脓毒症的患者81例(队列1)、重症COVID-19感染患者49例(队列2)、择期CABG手术患者87例(队列3)和严重(损伤严重程度评分&gt; 15)多发创伤患者64例(队列4)。所有患者都接受了符合生存败血症运动指南的治疗。在COVID-19患者中,通过分子检测确诊为SARS-CoV-2感染。以CABG组和多发创伤组作为非脓毒症比较,评估t6A对脓毒症和COVID-19患者的诊断特异性和准确性。我们比较了脓毒症和COVID-19队列入院时收集的血液样本、手术后24小时(队列3)和创伤后(队列4)收集的样本。采用稳定同位素内标准化串联质谱法测量血浆t6A浓度。PCT采用标准勃拉姆斯PCT发光免疫分析法测定。采用5万个分层bootstrap样本对受试者工作特征(ROC)曲线进行统计分析,估计ROC曲线下面积(AUC)的95%置信区间(CI)及其最优阈值。通过De Long双侧试验对auc进行比较。t6A在ICU/急诊入院时对脓毒症的诊断具有出色的准确性。在单独评估的探索性和验证性CABG队列中,与PCT (AUC 80-88%)相比,t6A始终显示更高的准确性(AUC &gt; 90%)。t6A在合并CABG患者(队列3)中的准确率达到95% (PCT为88%,p &lt; 0.05)(图1A)。与多创伤组相比,t6A再次优于PCT,这是一个更具临床相关性的比较组;其AUC为97%,而PCT为88% (p &lt; 0.05)(图1B)。在COVID-19队列中,当将sars - cov -2感染患者与CABG (AUC 87%,图1C)和多发性创伤(AUC 93%,图1D)患者进行比较时,t6A也显示出出色的诊断性能。PCT测量无鉴别(AUC 50-52%, p &gt; 0.05)。值得注意的是,t6A的最佳诊断阈值与CABG (40.0 ng/mL)和多发创伤(38.8 ng/mL)比较器几乎相同(偏差3%);PCT(2.04和1.6 ng/mL)变化22%。1 t6A和PCT在ICU/急诊入院时检测细菌性脓毒症(A、B)和COVID-19 (C、D)的诊断价值。n:括号内第一个数字为脓毒症或COVID-19患者人数;第二个数字表示冠脉搭桥或多发伤患者的数量。尽管t6A具有很强的诊断性能,但它在预测脓毒症结局方面的效用有限。在ICU/急诊入院时,t6A浓度在幸存者和非幸存者之间显示出相当大的重叠,并且没有显示任何长期的入院后分离,导致AUC仅为62%。PCT浓度表现出类似的重叠动态,并且表现略好,AUC为72%,这表明尽管t6A对识别脓毒症非常有效,但缺乏预后价值。这种差异突出了生物标志物在诊断中的主要效用,而不是预测结果。 这是关于t6A作为败血症患者诊断生物标志物的潜在效用的第一篇报道。我们发现t6A是ICU/急诊入院早期脓毒症诊断的高度准确和可靠的生物标志物。t6A在区分脓毒症患者和非脓毒症对照组(包括CABG和多发创伤组)方面优于PCT。t6A对无菌性炎症不敏感使其成为一种有前途的临床诊断工具。然而,缺乏商业上可用的快速t6A测量方法限制了其效用,这一缺陷需要解决。需要进一步的研究来评估t6A在不同的ICU条件下,包括局部(非脓毒症)感染和体外治疗,以证实其更广泛的临床适用性。当前研究中生成和/或分析的患者数据集可根据合理要求从通讯作者处获得。当前研究中生成和/或分析的患者数据集可根据合理要求从通讯作者处获得。AUC:曲线下面积;abg:冠状动脉旁路移植术;covid:冠状病毒病2019;ci:置信区间;icu:重症监护病房;ss:损伤严重程度评分;pct:降钙素原;roc:受体操作特征;6a: n6 -苏氨基氨基腺苷trna:转移核糖核酸vincent JL, Jones G, David S,等。欧洲和北美感染性休克的频率和死亡率:系统回顾和荟萃分析。危重症护理,2019;23(1):196。PubMed PubMed Central谷歌学者刘超,宋鑫,刘健,等。新一代宏基因组测序与传统传染病微生物检测的一致性:系统评价和荟萃分析危重症护理,2025;29(1):55。PubMed PubMed Central bbb学者Boccaletto P, Machnicka MA, Purta E等。MODOMICS: RNA修饰途径的数据库。2017年更新。中国生物医学工程学报,2018;46(1):393 - 397。CAS PubMed bbb学者Chujo T, Tomizawa K.人类转移RNA病变:由转移RNA修饰畸变引起的疾病。[j] .中国科学:自然科学学报;2011;31(2):391 - 391。中科院PubMed PubMed Central bbb学者德龙ER,德龙DM, Clarke-Pearson DL。比较两个或多个相关的受者工作特性曲线下的面积:一种非参数方法。生物识别技术。1988;44(3):837 - 45。CAS PubMed谷歌学者下载参考文献不适用。不适用。ludwig Boltzmann创伤学研究所,与AUVA合作研究中心,Donaueschingenstraße 13,1200,奥地利维也纳。Gerhard fritch波兰弗罗茨瓦夫弗罗茨瓦夫医科大学麻醉学和强化治疗临床系barbara Adamik, Waldemar Gozdzik &;Tomasz skalecpharmaceutical - analyst Labor, Baden, austria(奥地利)Hermann mascher,奥地利萨尔茨堡AUVA创伤中心麻醉科及重症医学部gerhard Fritsch &;Wolfgang voelckl大学医学中心麻醉科Göttingen, Göttingen,德国Onnen MoererBEBAC,维也纳,奥地利;helmut sch<e:1> tz维也纳医科大学医学数据科学中心,维也纳;奥地利helmut sch<s:1> tzauthorsmarcin F. OsuchowskiView作者出版物您也可以在pubmed谷歌ScholarBarbara AdamikView作者出版物您也可以在pubmed谷歌ScholarWaldemar GozdzikView作者出版物您也可以在pubmed谷歌scholartomasskalecview作者出版物您也可以在pubmed谷歌ScholarDaniel MascherView作者出版物您也可以搜索这个作者inPubMed谷歌ScholarHeinz RedlView作者出版物你也可以搜索这个作者在pubmed谷歌ScholarJohannes ZipperleView作者出版物你也可以搜索这个作者在pubmed谷歌ScholarGerhard FritschView作者出版物你也可以搜索这个作者在pubmed谷歌ScholarWolfgang VoelckelView作者出版物你也可以搜索这个作者在pubmed谷歌ScholarMartin S. WinklerView作者出版物你也可以搜索这个作者inPubMed b谷歌ScholarOnnen MoererView作者出版物您还可以在pubmed谷歌ScholarHelmut sch<e:1>查看作者出版物您还可以在pubmed谷歌ScholarHermann MascherView作者出版物中搜索该作者您还可以在pubmed谷歌ScholarContributionsMFO和HM构思研究和MFO撰写文本。MFO, BA, WG, WV和HM制定了研究设计。DM, HM, MFO, TS, JZ, OM和GF进行了研究分析。HS、BA、JZ、MFO进行数据分析。所有作者都帮助解释数据,编辑手稿,阅读并批准最终文本。通讯作者:Marcin F. Osuchowski 该研究包括队列1(脓毒症)和3 (CABG)患者,于2018年11月29日获得弗罗茨瓦夫医科大学生物伦理委员会的批准(批准号:710/2018)。该研究纳入了队列3 (COVID-19)患者,于2018年6月27日获得了大学医学中心生物伦理委员会Göttingen的批准(SeptImmun研究号24/4/19Ü)。该研究纳入队列4(多发性创伤)患者,于2016年9月15日获得Allgemeine Unfallversicherungsanstalt生物伦理委员会批准(PRIME研究号:09/2016)。这项研究是根据1975年的赫尔辛基宣言进行的,并于2008年进行了修订。发表同意不适用。interestsProf竞争。Mascher是奥地利巴登制药分析公司Labor的顾问,并持有使用t6A监测败血症的专利申请。其他作者报告没有竞争利益。出版商声明:对于已出版的地图和机构关系中的管辖权要求,普林格·自然保持中立。补充文件开放获取本文遵循知识共享署名-非商业-非衍生品4.0国际许可协议,该协议允许以任何媒介或格式进行非商业用途、共享、分发和复制,只要您适当注明原作者和来源,提供知识共享许可协议的链接,并注明您是否修改了许可材料。根据本许可协议,您无权分享源自本文或其部分内容的改编材料。本文中的图像或其他第三方材料包含在文章的知识共享许可协议中,除非在材料的署名中另有说明。如果材料未包含在文章的知识共享许可中,并且您的预期用途不被法律法规允许或超过允许的用途,您将需要直接获得版权所有者的许可。要查看本许可协议的副本,请访问http://creativecommons.org/licenses/by-nc-nd/4.0/.Reprints和permissionsCite这篇文章osuchowski, m.f., Adamik, B., Gozdzik, W.等。新的生物标志物t6A在入院时能准确识别脓毒症患者,但无法预测预后。危重护理29,129(2025)。https://doi.org/10.1186/s13054-025-05354-2Download citation收稿日期:2025年2月12日接受日期:2025年3月4日发布日期:2025年3月20日doi: https://doi.org/10.1186/s13054-025-05354-2Share本文任何您与之分享以下链接的人都可以阅读此内容:获取可共享链接对不起,本文目前没有可共享链接。复制到剪贴板由施普林格自然共享内容倡议提供
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The novel biomarker t6A accurately identified septic patients at admission but failed to predict outcome

Sepsis is a life-threatening condition caused by the body’s extreme response to infection [1]. Early diagnosis of sepsis is crucial for improving patient outcomes, yet current diagnostic methods including microbiological cultures are delayed and frequently inconclusive. This has driven the search for novel biomarkers and detection systems capable of recognizing sepsis more rapidly and accurately [2]. Procalcitonin (PCT) is the most widely used biomarker for sepsis detection but its use is limited as circulating PCT concentration is influenced by noninfectious inflammation (e.g. trauma, surgery).

Nucleoside modifications are a hallmark of the post-transcriptional processing of transfer ribonucleic acid (tRNA) that generate multiple structurally modified nucleosides [3]. One of such tRNA-modified nucleosides, N6-threonylcarbamoyladenosine (t6A), is critical for ensuring efficient protein synthesis in health and disease [4]. We discovered that circulating t6A possesses a diagnostic potential in sepsis. Consequently, we evaluated the diagnostic accuracy of t6A in differentiating bacterial sepsis and COVID-19 from two different non-septic patient cohorts: i) patients undergoing elective coronary artery bypass graft (CABG) surgery and ii) severe polytrauma patients. In all cohorts, t6A diagnostic accuracy was compared to PCT. Additionally, we tested t6A potential to predict death/survival in patients with sepsis.

This multicenter retrospective observational study analyzed plasma samples from four cohorts (Supplementary Table 1). The study included 81 patients with bacterial sepsis (cohort 1) and 49 patients with severe COVID-19 infection (cohort 2) diagnosed upon ICU/Emergency admission , 87 patients undergoing elective CABG surgery (cohort 3) and 64 severe (Injury Severity Score > 15) polytrauma patients (cohort 4). Sepsis in cohort 1 was defined according to the Sepsis-3 criteria, and all patients received treatment aligned with the Surviving Sepsis Campaign guidelines. In COVID-19 patients, SARS-CoV-2 infection was confirmed by molecular test. The CABG and polytrauma groups were used as non-septic comparators to assess t6A’s diagnostic specificity and accuracy against patients with sepsis and those with COVID-19. We compared blood samples collected at admission for the sepsis and COVID-19 cohorts, to samples collected 24 h post-surgery (cohort 3) and trauma (cohort 4). Plasma t6A concentrations were measured using tandem mass spectrometry with stable isotope internal standardization. PCT was measured using standard Brahms PCT luminescence immunoassay. Statistical analyses of the receiver operating characteristic (ROC) curves were carried out with a total of 50,000 stratified bootstrap samples to estimate the 95% confidence interval (CI) of the area under the curve (AUC) of the ROC curve and its optimal threshold. The AUCs were compared via De Long’s two-sided test [5].

t6A demonstrated outstanding diagnostic accuracy for sepsis at the ICU/Emergency admission. In separately evaluated exploratory and validation CABG cohorts, t6A consistently showed greater accuracy (AUC > 90%) compared to PCT (AUC 80–88%). t6A accuracy against the pooled CABG patients (cohort 3) achieved an AUC of 95% (vs. 88% for PCT, p < 0.05) (Fig. 1A). Against the polytrauma group, which represented a more clinically relevant comparator, t6A again outperformed PCT; its AUC was 97% compared to 88% for PCT (p < 0.05) (Fig. 1B). In the COVID-19 cohort, t6A also displayed excellent diagnostic performance when SARS-CoV-2-infected patients were compared to CABG (AUC 87%, Fig. 1C) and polytrauma (AUC 93%, Fig. 1D) patients. PCT measurement was not differentiating (AUC 50–52%, p > 0.05). Notably, the optimal diagnostic threshold for t6A was nearly identical (3% deviation) against CABG (40.0 ng/mL) and polytrauma (38.8 ng/mL) comparators; it varied by 22% for PCT (2.04 and 1.6 ng/mL).

Fig. 1
figure 1

Diagnostic performance of t6A and PCT for detecting bacterial sepsis (A, B) and COVID-19 (C, D) at the ICU/Emergency admission. n: the first number in parentheses defines the number of sepsis or COVID-19 patients; the second number indicates the number of CABG or polytrauma patients. CI: 95% Confidence Intervals

Full size image

Despite its strong diagnostic performance, t6A showed a limited utility for predicting sepsis outcomes. At the ICU/Emergency admission, t6A concentrations exhibited a considerable overlap between survivors and non-survivors and failed to show any protracted post-admission separation, resulting in an AUC of only 62%. PCT concentrations demonstrated a similar overlap dynamics and performed only modestly better, with an AUC of 72%, suggesting that while t6A is highly effective for identifying sepsis, it lacks prognostic value. This discrepancy highlights the biomarker’s primary utility in diagnosis rather than outcome prediction.

This is the first report regarding the potential utility of t6A as a diagnostic biomarker in patients with sepsis. We show t6A as a highly accurate and reliable biomarker for early sepsis diagnosis at the ICU/Emergency admission. t6A outperformed PCT in differentiating septic patients from non-septic controls including CABG and polytrauma cohorts. Insensitivity of t6A to sterile inflammation positions it as a promising diagnostic tool for clinical use. However, the lack of a commercially available assay for rapid t6A measurement limits its utility and this deficiency needs to be addressed. Further studies are required to evaluate t6A under different ICU conditions, including localized (non-sepsis) infections and extracorporeal therapies, to confirm its broader clinical applicability.

The patient datasets generated and/or analyzed during the current study are available from the corresponding author upon a reasonable request.

The patient datasets generated and/or analyzed during the current study are available from the corresponding author upon a reasonable request.

AUC :

Area under the curve

CABG :

Coronary artery bypass graft surgery

COVID-19 :

Coronavirus disease 2019

CI :

Confidence interval

ICU :

Intensive care unit

ISS :

Injury severity score

PCT :

Procalcitonin

ROC :

Receiver-operating characteristic

t 6 A :

N6-Threonylcarbamoyladenosine

tRNA :

Transfer ribonucleic acid

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Authors and Affiliations

  1. Ludwig Boltzmann Institute for Traumatology, The Research Center in Cooperation With AUVA, Donaueschingenstraße 13, 1200, Vienna, Austria

    Marcin F. Osuchowski, Heinz Redl, Johannes Zipperle & Gerhard Fritsch

  2. Clinical Department of Anesthesiology and Intensive Therapy, Wroclaw Medical University, Wroclaw, Poland

    Barbara Adamik, Waldemar Gozdzik & Tomasz Skalec

  3. Pharm-Analyt Labor, Baden, Austria

    Daniel Mascher & Hermann Mascher

  4. Department of Anesthesiology and Intensive Care Medicine, AUVA Trauma Center Salzburg, Salzburg, Austria

    Gerhard Fritsch & Wolfgang Voelckel

  5. Department of Anesthesiology, University Medical Center Göttingen, Göttingen, Germany

    Martin S. Winkler & Onnen Moerer

  6. BEBAC, Vienna, Austria

    Helmut Schütz

  7. Center for Medical Data Science of the Medical University of Vienna, Vienna, Austria

    Helmut Schütz

Authors
  1. Marcin F. OsuchowskiView author publications

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Contributions

MFO and HM conceived of the study and MFO wrote the text. MFO, BA, WG, WV and HM developed the study design. DM, HM, MFO, TS, JZ, OM and GF performed research analysis. HS, BA, JZ and MFO performed data analysis. All authors helped with data interpretation, editing of the manuscript, and read and approved the final text.

Corresponding author

Correspondence to Marcin F. Osuchowski.

Ethics approval and consent to participate

The study including patients in the cohorts 1 (sepsis) and 3 (CABG) was approved by the Bioethical Committee of Wroclaw Medical University on November 29, 2018 (approval no. 710/2018). The study including patients in the cohort 3 (COVID-19) was approved by the Bioethical Committee of the University Medical Center Göttingen on June 27, 2018 (SeptImmun Study No. 24/4/19Ü). The study including patients in the cohort 4 (polytrauma) was approved by the Bioethical Committee of Allgemeine Unfallversicherungsanstalt on September 15, 2016 (PRIME study No. 09/2016). This research was conducted in accordance with the Helsinki Declaration of 1975, as revised in 2008.

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Not applicable.

Competing interests

Prof. Mascher is a consultant at pharm-analyt Labor, Baden, Austria, and holds patent applications for the use of t6A to monitor sepsis conditions. The other authors report no competing interest.

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Osuchowski, M.F., Adamik, B., Gozdzik, W. et al. The novel biomarker t6A accurately identified septic patients at admission but failed to predict outcome. Crit Care 29, 129 (2025). https://doi.org/10.1186/s13054-025-05354-2

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来源期刊
Critical Care
Critical Care 医学-危重病医学
CiteScore
20.60
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3.30%
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348
审稿时长
1.5 months
期刊介绍: Critical Care is an esteemed international medical journal that undergoes a rigorous peer-review process to maintain its high quality standards. Its primary objective is to enhance the healthcare services offered to critically ill patients. To achieve this, the journal focuses on gathering, exchanging, disseminating, and endorsing evidence-based information that is highly relevant to intensivists. By doing so, Critical Care seeks to provide a thorough and inclusive examination of the intensive care field.
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