Hexosylceramide Species in the Blood Decline in Both COVID-19 and Non-COVID-19 Sepsis
Abstract
1. Introduction
2. Materials and Methods
2.1. Study Cohort
2.2. Quantification of Serum/Plasma HexCer Species
2.3. Statistical Analysis
- Mann–Whitney U test for comparisons between two groups.
- Kruskal–Wallis test for comparison of three or more groups.
- Chi-squared test for categorical variables.
- Spearman’s correlation for associations between continuous variables.
3. Results
3.1. Hexosylceramide Species of Controls and Patients with SIRS, Sepsis, and Septic Shock
3.2. Hexosylceramide Species and Liver Cirrhosis
3.3. Hexosylceramide Species and SARS-CoV-2 Infection
3.4. Hexosylceramide Species in the Subgroups of Patients Requiring Ventilation or Septic Shock
3.5. Correlations of Hexosylceramide Species with Inflammation and Markers of Liver Disease
3.6. Hexosylceramide Species and Survival
4. Discussion
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
| ALT | Alanine aminotransferase |
| AST | Aspartate aminotransferase |
| GGT | Gamma-glutamyl transferase |
| HexCer | Hexosylceramide |
| Interleukin | IL |
| SARS-CoV-2 | Severe acute respiratory syndrome coronavirus 2 |
| SIRS | Systemic inflammatory response syndrome |
References
- Barichello, T.; Generoso, J.S.; Singer, M.; Dal-Pizzol, F. Biomarkers for sepsis: More than just fever and leukocytosis-a narrative review. Crit. Care 2022, 26, 14. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- He, R.R.; Yue, G.L.; Dong, M.L.; Wang, J.Q.; Cheng, C. Sepsis Biomarkers: Advancements and Clinical Applications-A Narrative Review. Int. J. Mol. Sci. 2024, 25, 9010. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Konjety, P.; Chakole, V.G. Beyond the Horizon: A Comprehensive Review of Contemporary Strategies in Sepsis Management Encompassing Predictors, Diagnostic Tools, and Therapeutic Advances. Cureus 2024, 16, e64249. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Barker, G.; Leeuwenburgh, C.; Brusko, T.; Moldawer, L.; Reddy, S.T.; Guirgis, F.W. Lipid and Lipoprotein Dysregulation in Sepsis: Clinical and Mechanistic Insights into Chronic Critical Illness. J. Clin. Med. 2021, 10, 1693. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Harris, H.W.; Gosnell, J.E.; Kumwenda, Z.L. The lipemia of sepsis: Triglyceride-rich lipoproteins as agents of innate immunity. J. Endotoxin Res. 2000, 6, 421–430. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Hofmaenner, D.A.; Arina, P.; Kleyman, A.; Page Black, L.; Salomao, R.; Tanaka, S.; Guirgis, F.W.; Arulkumaran, N.; Singer, M. Association Between Hypocholesterolemia and Mortality in Critically Ill Patients with Sepsis: A Systematic Review and Meta-Analysis. Crit. Care Explor. 2023, 5, e0860. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Gomez-Munoz, A.; Presa, N.; Gomez-Larrauri, A.; Rivera, I.G.; Trueba, M.; Ordonez, M. Control of inflammatory responses by ceramide, sphingosine 1-phosphate and ceramide 1-phosphate. Prog. Lipid Res. 2016, 61, 51–62. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Gaggini, M.; Ndreu, R.; Michelucci, E.; Rocchiccioli, S.; Vassalle, C. Ceramides as Mediators of Oxidative Stress and Inflammation in Cardiometabolic Disease. Int. J. Mol. Sci. 2022, 23, 2719. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Chung, H.Y.; Claus, R.A. Keep Your Friends Close, but Your Enemies Closer: Role of Acid Sphingomyelinase During Infection and Host Response. Front. Med. 2020, 7, 616500. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Amalia, L.; Tsai, S.L. Ceramide’s Role and Biosynthesis: A Brief Review. Biotechnol. Bioprocess Eng. 2023, 28, 371–378. [Google Scholar] [CrossRef] [Scilit]
- Drobnik, W.; Liebisch, G.; Audebert, F.X.; Frohlich, D.; Gluck, T.; Vogel, P.; Rothe, G.; Schmitz, G. Plasma ceramide and lysophosphatidylcholine inversely correlate with mortality in sepsis patients. J. Lipid Res. 2003, 44, 754–761. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Pavel, V.; Mester, P.; Höring, M.; Krautbauer, S.; Liebisch, G.; Schmid, S.; Müller, M.; Buechler, C. A Reproducible Ceramide Phenotype of Sepsis Across Aetiologies—A Monocenter Cohort Study. J. Inflamm. Res. 2026; in press. [CrossRef] [Scilit]
- Zhao, X.; Pandey, M.K. Central Roles of Glucosylceramide in Driving Cancer Pathogenesis. Int. J. Mol. Sci. 2025, 26, 9879. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Vitner, E.B.; Avraham, R.; Politi, B.; Melamed, S.; Israely, T. Elevation in sphingolipid upon SARS-CoV-2 infection: Possible implications for COVID-19 pathology. Life Sci. Alliance 2021, 5, e202101168. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Uranbileg, B.; Isago, H.; Nakayama, H.; Jubishi, D.; Okamoto, K.; Sakai, E.; Kubota, M.; Tsutsumi, T.; Moriya, K.; Kurano, M. Comprehensive metabolic modulations of sphingolipids are promising severity indicators in COVID-19. FASEB J. 2024, 38, e23827. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Torretta, E.; Garziano, M.; Poliseno, M.; Capitanio, D.; Biasin, M.; Santantonio, T.A.; Clerici, M.; Lo Caputo, S.; Trabattoni, D.; Gelfi, C. Severity of COVID-19 Patients Predicted by Serum Sphingolipids Signature. Int. J. Mol. Sci. 2021, 22, 10198. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Toro, D.M.; da Silva-Neto, P.V.; de Carvalho, J.C.S.; Fuzo, C.A.; Perez, M.M.; Pimentel, V.E.; Fraga-Silva, T.F.C.; Oliveira, C.N.S.; Caruso, G.R.; Vilela, A.F.L.; et al. Plasma Sphingomyelin Disturbances: Unveiling Its Dual Role as a Crucial Immunopathological Factor and a Severity Prognostic Biomarker in COVID-19. Cells 2023, 12, 1938. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Pirillo, A.; Catapano, A.L.; Norata, G.D. HDL in infectious diseases and sepsis. In High Density Lipoproteins; Handbook of Experimental Pharmacology; Springer: Cham, Switzerland, 2015; Volume 224, pp. 483–508. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Taylor, R.; Zhang, C.; George, D.; Kotecha, S.; Abdelghaffar, M.; Forster, T.; Santos Rodrigues, P.D.; Reisinger, A.C.; White, D.; Hamilton, F.; et al. Low circulatory levels of total cholesterol, HDL-C and LDL-C are associated with death of patients with sepsis and critical illness: Systematic review, meta-analysis, and perspective of observational studies. eBioMedicine 2024, 100, 104981. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Scherer, M.; Bottcher, A.; Schmitz, G.; Liebisch, G. Sphingolipid profiling of human plasma and FPLC-separated lipoprotein fractions by hydrophilic interaction chromatography tandem mass spectrometry. Biochim. Biophys. Acta 2011, 1811, 68–75. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Birner, C.; Mester, P.; Liebisch, G.; Horing, M.; Schmid, S.; Muller, M.; Pavel, V.; Buechler, C. Lipid Metabolism Disorders as Diagnostic Biosignatures in Sepsis. Infect. Dis. Rep. 2024, 16, 806–819. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Schmelter, F.; Foh, B.; Mallagaray, A.; Rahmoller, J.; Ehlers, M.; Lehrian, S.; von Kopylow, V.; Kunsting, I.; Lixenfeld, A.S.; Martin, E.; et al. Metabolic and Lipidomic Markers Differentiate COVID-19 From Non-Hospitalized and Other Intensive Care Patients. Front. Mol. Biosci. 2021, 8, 737039. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- van den Berg, E.H.; Flores-Guerrero, J.L.; Gruppen, E.G.; Garcia, E.; Connelly, M.A.; de Meijer, V.E.; Bakker, S.J.L.; Blokzijl, H.; Dullaart, R.P.F. Profoundly Disturbed Lipoproteins in Cirrhotic Patients: Role of Lipoprotein-Z, a Hepatotoxic LDL-like Lipoprotein. J. Clin. Med. 2022, 11, 1223. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Li, J.F.; Qu, F.; Zheng, S.J.; Ren, F.; Wu, H.L.; Liu, M.; Ren, J.Y.; Chen, Y.; Duan, Z.P.; Zhang, J.L. Plasma sphingolipids: Potential biomarkers for severe hepatic fibrosis in chronic hepatitis C. Mol. Med. Rep. 2015, 12, 323–330. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Elger, T.; Huss, M.; Liebisch, G.; Horing, M.; Loibl, J.; Kandulski, A.; Muller, M.; Tews, H.C.; Buechler, C. Elevated long-to-very-long-chain ceramide ratio correlates with disease severity in inflammatory bowel disease and primary sclerosing cholangitis. Sci. Rep. 2025, 15, 20294. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Bone, R.C. Sepsis, sepsis syndrome, and the systemic inflammatory response syndrome (SIRS). Gulliver in Laputa. JAMA 1995, 273, 155–156. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Singer, M.; Deutschman, C.S.; Seymour, C.W.; Shankar-Hari, M.; Annane, D.; Bauer, M.; Bellomo, R.; Bernard, G.R.; Chiche, J.D.; Coopersmith, C.M.; et al. The Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3). JAMA 2016, 315, 801–810. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Bone, R.C.; Balk, R.A.; Cerra, F.B.; Dellinger, R.P.; Fein, A.M.; Knaus, W.A.; Schein, R.M.; Sibbald, W.J. Definitions for sepsis and organ failure and guidelines for the use of innovative therapies in sepsis. The ACCP/SCCM Consensus Conference Committee. American College of Chest Physicians/Society of Critical Care Medicine. Chest 1992, 101, 1644–1655. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Bligh, E.G.; Dyer, W.J. A rapid method of total lipid extraction and purification. Can. J. Biochem. Physiol. 1959, 37, 911–917. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Liebisch, G.; Drobnik, W.; Reil, M.; Trumbach, B.; Arnecke, R.; Olgemoller, B.; Roscher, A.; Schmitz, G. Quantitative measurement of different ceramide species from crude cellular extracts by electrospray ionization tandem mass spectrometry (ESI-MS/MS). J. Lipid Res. 1999, 40, 1539–1546. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Liebisch, G.; Lieser, B.; Rathenberg, J.; Drobnik, W.; Schmitz, G. High-throughput quantification of phosphatidylcholine and sphingomyelin by electrospray ionization tandem mass spectrometry coupled with isotope correction algorithm. Biochim. Biophys. Acta 2004, 1686, 108–117. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Pavel, V.; Mester, P.; Horing, M.; Liebisch, G.; Schmid, S.; Muller, M.; Buechler, C. Distinct Plasma LPC Signatures Differentiate COVID-19 Sepsis from Other Sepsis Aetiologies. Biomedicines 2025, 13, 2110. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Schupp, T.; Weidner, K.; Rusnak, J.; Jawhar, S.; Forner, J.; Dulatahu, F.; Dudda, J.; Bruck, L.M.; Hoffmann, U.; Bertsch, T.; et al. C-reactive protein and procalcitonin during course of sepsis and septic shock. Ir. J. Med. Sci. 2024, 193, 457–468. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Aliu-Bejta, A.; Atelj, A.; Kurshumliu, M.; Dreshaj, S.; Barsic, B. Presepsin values as markers of severity of sepsis. Int. J. Infect. Dis. 2020, 95, 1–7. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Wasserman, A.; Karov, R.; Shenhar-Tsarfaty, S.; Paran, Y.; Zeltzer, D.; Shapira, I.; Trotzky, D.; Halpern, P.; Meilik, A.; Raykhshtat, E.; et al. Septic patients presenting with apparently normal C-reactive protein: A point of caution for the ER physician. Medicine 2019, 98, e13989. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Durrance, R.J.; Ullah, T.; Patel, H.; Martinez, G.; Cervellione, K.; Zafonte, V.B.; Gafoor, K.; Bagheri, F. Marked Elevation in Serum Procalcitonin Levels Do Not Correlate with Severity of Disease or Mortality in Hospitalized Patients: A Retrospective Study. Biomark. Insights 2020, 15, 1177271920917941. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Agnello, L.; Giglio, R.V.; Bivona, G.; Scazzone, C.; Gambino, C.M.; Iacona, A.; Ciaccio, A.M.; Lo Sasso, B.; Ciaccio, M. The Value of a Complete Blood Count (CBC) for Sepsis Diagnosis and Prognosis. Diagnostics 2021, 11, 1881. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Simon, L.; Gauvin, F.; Amre, D.K.; Saint-Louis, P.; Lacroix, J. Serum procalcitonin and C-reactive protein levels as markers of bacterial infection: A systematic review and meta-analysis. Clin. Infect. Dis. 2004, 39, 206–217. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- An, A.Y.; Baghela, A.; Zhang, P.; Falsafi, R.; Lee, A.H.; Trahtemberg, U.; Baker, A.J.; Dos Santos, C.C.; Hancock, R.E.W. Severe COVID-19 and non-COVID-19 severe sepsis converge transcriptionally after a week in the intensive care unit, indicating common disease mechanisms. Front. Immunol. 2023, 14, 1167917. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Perschinka, F.; Mayerhofer, T.; Lehner, G.F.; Hasslacher, J.; Klein, S.J.; Joannidis, M. Immunologic response in bacterial sepsis is different from that in COVID-19 sepsis. Infection 2022, 50, 1035–1037. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Yu, J.; Wang, Y.; Lin, S.; Jiang, L.; Sang, L.; Zheng, X.; Zhong, M. Severe COVID-19 has a distinct phenotype from bacterial sepsis: A retrospective cohort study in deceased patients. Ann. Transl. Med. 2021, 9, 1054. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Vitner, E.B.; Achdout, H.; Avraham, R.; Politi, B.; Cherry, L.; Tamir, H.; Yahalom-Ronen, Y.; Paran, N.; Melamed, S.; Erez, N.; et al. Glucosylceramide synthase inhibitors prevent replication of SARS-CoV-2 and influenza virus. J. Biol. Chem. 2021, 296, 100470. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Trovato, F.M.; Mujib, S.; Jerome, E.; Cavazza, A.; Morgan, P.; Smith, J.; Depante, M.T.; O’Reilly, K.; Luxton, J.; Mare, T.; et al. Immunometabolic analysis shows a distinct cyto-metabotype in Covid-19 compared to sepsis from other causes. Heliyon 2022, 8, e09733. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Woznica, E.A.; Inglot, M.; Woznica, R.K.; Lysenko, L. Liver dysfunction in sepsis. Adv. Clin. Exp. Med. 2018, 27, 547–551. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Grammatikos, G.; Ferreiros, N.; Waidmann, O.; Bon, D.; Schroeter, S.; Koch, A.; Herrmann, E.; Zeuzem, S.; Kronenberger, B.; Pfeilschifter, J. Serum Sphingolipid Variations Associate with Hepatic Decompensation and Survival in Patients with Cirrhosis. PLoS ONE 2015, 10, e0138130. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Velazquez, A.M.; Roglans, N.; Bentanachs, R.; Gene, M.; Sala-Vila, A.; Lazaro, I.; Rodriguez-Morato, J.; Sanchez, R.M.; Laguna, J.C.; Alegret, M. Effects of a Low Dose of Caffeine Alone or as Part of a Green Coffee Extract, in a Rat Dietary Model of Lean Non-Alcoholic Fatty Liver Disease without Inflammation. Nutrients 2020, 12, 3240. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Seah, J.Y.H.; Chew, W.S.; Torta, F.; Khoo, C.M.; Wenk, M.R.; Herr, D.R.; Choi, H.; Tai, E.S.; van Dam, R.M. Plasma sphingolipids and risk of cardiovascular diseases: A large-scale lipidomic analysis. Metabolomics 2020, 16, 89. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Hammad, S.M.; Pierce, J.S.; Soodavar, F.; Smith, K.J.; Al Gadban, M.M.; Rembiesa, B.; Klein, R.L.; Hannun, Y.A.; Bielawski, J.; Bielawska, A. Blood sphingolipidomics in healthy humans: Impact of sample collection methodology. J. Lipid Res. 2010, 51, 3074–3087. [Google Scholar] [CrossRef] [Scilit] [PubMed]




| Parameters | SIRS | Sepsis | Septic Shock |
|---|---|---|---|
| Males/Females | 27/12 (n = 39) | 23/18 (n = 41) | 61/18 (n = 79) |
| Age, years | 59 (29–88) | 58 (28–81) | 61 (21–93) |
| Body mass index, kg/m2 | 24.4 (18.3–51.4) 37, p = 0.031 | 26.4 (18.4–54.5) 40 | 28.7 (15.4–55.6) p = 0.031 |
| C-reactive protein, mg/L | 145 (12–402) | 130 (28–503) | 164 (18–697) |
| Procalcitonin, ng/mL | 1.04 (0.05–270.00) 78 | 0.6 (0.06–112.27) 39 | 1.84 (0.08–114.40) |
| Leukocytes, n/nL | 10.30 (0.06–37.38) | 10.98 (0.28–34.17) | 10.20 (0.32–1586.00) |
| Neutrophils, n/nL | 6.33 (1.46–29.73) 36 | 7.42 (0–70.20) 39 | 8.50 (0–48.40) 78 |
| Basophils, n/nL | 0.04 (0–0.38) 36 | 0.04 (0–0.90) 39 | 0.04 (0–0.60) |
| Eosinophils, n/nL | 0.16 (0–2.89) 36 | 0.06 (0–1.75) 39 | 0.12 (0–8.80) |
| Monocytes, n/nL | 0.66 (0.02–3.59) 36 | 0.95 (0.08–45.00) 39 | 0.71 (0–10.90) |
| Lymphocytes, n/nL | 0.87 (0.10–2.79) 36 | 1.04 (0.29–16.80) 39 | 0.94 (0.08–28.60) |
| Immature granulocytes, n/nL | 0.04 (0.01–0.44) 35, p < 0.001, p = 0.029 | 0.12 (0–6.19) 39, p = 0.029 | 0.22 (0–6.19) p < 0.001 |
| Total bilirubin, mg/dL | 0.85 (0.10–30.50) 36 | 0.60 (0.10–18.10) 39 | 0.80 (0.10–20.10) 73 |
| Albumin, g/L | 20.8 (13.0–32.8) 34 | 23.5 (15.5–41.9) 39 | 23.2 (6.3–42.0) 74 |
| Aspartate aminotransferase, U/L | 46 (6–1562) 36 | 41 (8–603) 37 | 48 (8–1597) 71 |
| Alanine aminotransferase, U/L | 34 (8–288) 36 | 30 (7–559) 35 | 32 (6–770) 71 |
| Gamma-glutamyl transferase, U/L | 180 (23–1093) 33 | 142 (25–467) 35 | 95 (11–1266) 59 |
| Cholesterol nmol/mL | 2384 (906–6223) | 2367 (712–8529) | 2207 (904–6840) |
| Vasopressor therapy | 3 p < 0.001 | 18 p < 0.001 | 75 p < 0.001 |
| Dialysis | 1 p < 0.001 | 5 p < 0.001 | 48 p < 0.001 |
| Ventilation | 4 p < 0.001 | 18 p < 0.001 | 75 p < 0.001 |
| Parameters | Non-COVID-19 Patients | Moderate COVID-19 | Severe COVID-19 |
|---|---|---|---|
| Males/Females | 8/10 | 23/18 | 43/18 |
| Age, years | 48 (27–70) p = 0.009, p = 0.003 | 60 (22–83) p = 0.003 | 57 (31–83) p = 0.009 |
| Body mass index, kg/m2 | Not defined | 26.2 (18.4–44.6) 23, p = 0.006 | 29.4 (19.2–66.7) 57, p = 0.006 |
| C-reactive protein, mg/L | 3 (0–40) 13, p < 0.001 | 25 (0–218) p < 0.001, p = 0.016 | 73 (1–367) p < 0.001, p = 0.016 |
| Procalcitonin, ng/mL | Not defined | 0.09 (0.00–25.00) 31, p < 0.001 | 0.24 (0.06–367.00) p < 0.001 |
| Interleukin-6, pg/mL | Not defined | 30 (4–265) 22 | 35 (3–1175) |
| Albumin, g/L | Not defined | 33.5 (18.9–41.0) 25, p < 0.001 | 27.2 (19.3–30.0) p < 0.001 |
| Cholesterol nmol/mL | 5051 (1963–8674) p < 0.001, p = 0.001 | 3132 (1936–7802) p = 0.001 | 3178 (1611–5590) p < 0.001 |
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Share and Cite
Pavel, V.; Mester, P.; Schmid, S.; Krautbauer, S.; Höring, M.; Liebisch, G.; Müller, M.; Buechler, C. Hexosylceramide Species in the Blood Decline in Both COVID-19 and Non-COVID-19 Sepsis. Biomedicines 2026, 14, 1635. https://doi.org/10.3390/biomedicines14071635
Pavel V, Mester P, Schmid S, Krautbauer S, Höring M, Liebisch G, Müller M, Buechler C. Hexosylceramide Species in the Blood Decline in Both COVID-19 and Non-COVID-19 Sepsis. Biomedicines. 2026; 14(7):1635. https://doi.org/10.3390/biomedicines14071635
Chicago/Turabian StylePavel, Vlad, Patricia Mester, Stephan Schmid, Sabrina Krautbauer, Marcus Höring, Gerhard Liebisch, Martina Müller, and Christa Buechler. 2026. "Hexosylceramide Species in the Blood Decline in Both COVID-19 and Non-COVID-19 Sepsis" Biomedicines 14, no. 7: 1635. https://doi.org/10.3390/biomedicines14071635
APA StylePavel, V., Mester, P., Schmid, S., Krautbauer, S., Höring, M., Liebisch, G., Müller, M., & Buechler, C. (2026). Hexosylceramide Species in the Blood Decline in Both COVID-19 and Non-COVID-19 Sepsis. Biomedicines, 14(7), 1635. https://doi.org/10.3390/biomedicines14071635

