Singer, M. et al. The Third Worldwide Consensus Definitions for Sepsis and Septic Shock (Sepsis-3). JAMA 315, 801–810 (2016).
Shankar-Hari, M. et al. Growing a New Definition and Assessing New Medical Standards for Septic Shock: For the Third Worldwide Consensus Definitions for Sepsis and Septic Shock (Sepsis-3). JAMA 315, 775–787 (2016).
Banks, P. A. et al. Classification of acute pancreatitis–2012: revision of the Atlanta classification and definitions by worldwide consensus. Intestine 62, 102–111 (2013).
Besselink, M. G. et al. Timing and influence of infections in acute pancreatitis. Br. J. Surg. 96, 267–273 (2009).
van Santvoort, H. C. et al. A step-up method or open necrosectomy for necrotizing pancreatitis. N Engl. J. Med. 362, 1491–1502 (2010).
Mifkovic, A., Pindak, D., Daniel, I. & Pechan, J. Septic problems of acute pancreatitis. Bratisl Lek Listy. 107, 296–313 (2006).
Wang, C. et al. Shock 59, 560–568 (2023).
Wilson, P. G., Manji, M. & Neoptolemos, J. P. Acute pancreatitis as a mannequin of sepsis. J. Antimicrob. Chemother. 41 (Suppl A), 51–63 (1998).
Xie, F., Liu, T., Qian, W. J., Petyuk, V. A. & Smith, R. D. Liquid chromatography-mass spectrometry-based quantitative proteomics. J. Biol. Chem. 286, 25443–25449 (2011).
Aebersold, R. & Mann, M. Mass spectrometry-based proteomics. Nature 422, 198–207 (2003).
Lu, Y., Pang, Z. & Xia, J. Complete investigation of pathway enrichment strategies for purposeful interpretation of LC–MS world metabolomics information. Temporary. Bioinform. 24, bbac553 (2022).
Mi, Y. et al. Excessive-throughput mass spectrometry maps the sepsis plasma proteome and variations in affected person response. Sci. Transl Med. 16, eadh0185 (2024).
Chen, Q. et al. Integrative evaluation of metabolomics and proteomics reveals amino acid metabolism dysfunction in sepsis. J. Transl Med. 20, 123 (2022).
Liang, X. et al. Serum proteomics reveals dysfunction of lipoprotein metabolism in sepsis. Life Sci. Alliance. 4, e202101091 (2021).
Sharma, N. Ok. et al. Proteomic examine revealed mobile meeting and lipid metabolism dysregulation in sepsis secondary to community-acquired pneumonia. Sci. Rep. 7, 15606 (2017).
Waldron, R. T., Lugea, A., Gulla, A. & Pandol, S. J. Proteomic Identification of Novel Plasma Biomarkers and Pathobiologic Pathways in Alcoholic Acute Pancreatitis. Entrance. Physiol. 9, 1215 (2018).
Li, H. et al. DIA-Primarily based Proteomic Evaluation of Plasma Protein Profiles in Sufferers with Extreme Acute Pancreatitis. Molecules 27, 3880 (2022).
Bourgault, J. et al. Proteome-Huge Mendelian Randomization Identifies Causal Hyperlinks Between Blood Proteins and Acute Pancreatitis. Gastroenterology 164, 953–965e3 (2023).
Wiersinga, W. J., Leopold, S. J., Cranendonk, D. R. & van der Ballot, T. Host innate immune responses to sepsis. Virulence 5, 36–44 (2014).
Joosten, S. C. M., Wiersinga, W. J. & van der Ballot, T. Dysregulation of Host-Pathogen Interactions in Sepsis: Host-Associated Elements. Semin Respir Crit. Care Med. 45, 469–478 (2024).
Palma Medina, L. M. et al. Focused plasma proteomics reveals signatures discriminating COVID-19 from sepsis with pneumonia. Respir Res. 24, 62 (2023).
Papareddy, P. et al. Figuring out biomarkers deciphering sepsis from trauma-induced sterile irritation and trauma-induced sepsis. Entrance. Immunol. 14, 1310271 (2023).
Li, X. et al. Proteomic Evaluation of Pediatric Hemophagocytic Lymphohistiocytosis: a Comparative Research with Wholesome Controls, Sepsis, Essential In poor health, and Lively Epstein-Barr virus An infection to Determine Altered Pathways and Candidate Biomarkers. J. Clin. Immunol. 43, 1997–2010 (2023).
van der Heijden, J. et al. Plasma proteomics in septic shock and alcohol-related pancreatitis: a hyaluronan-centered method. Clin. Proteom. 22, 31 (2025).
Sallisalmi, M., Tenhunen, J., Yang, R., Oksala, N. & Pettilä, V. Vascular adhesion protein-1 and syndecan-1 in septic shock. Acta Anaesthesiol. Scand. 56, 316–322 (2012).
McKinney, W. Information Buildings for Statistical Computing in Python. scipy (2010). https://doi.org/10.25080/Majora-92bf1922-00a doi:10.25080/Majora-92bf1922-00a.
Kolde, R. & pheatmap Fairly Heatmaps. R bundle model 1.0.13. (2025).
Ritchie, M. E. et al. limma powers differential expression analyses for RNA-sequencing and microarray research. Nucleic Acids Res. 43, e47–e47 (2015).
Yu, G., Wang, L. G., Han, Y. & He, Q. Y. clusterProfiler: an R Bundle for Evaluating Organic Themes Amongst Gene Clusters. OMICS: J. Integr. Biology. 16, 284–287 (2012).
Carlson, M. org.Hs.eg.db. Bioconductor (2023). http://bioconductor.org/packages/org.Hs.eg.db/
Kanehisa, M., Furumichi, M., Sato, Y., Matsuura, Y. & Ishiguro-Watanabe, M. KEGG: organic techniques database as a mannequin of the actual world. Nucleic Acids Res. 53, D672–D677 (2025).
Schopf, F. H., Biebl, M. M. & Buchner, J. The HSP90 chaperone equipment. Nat. Rev. Mol. Cell. Biol. 18, 345–360 (2017).
Xu, G. et al. Echinatin successfully protects towards NLRP3 inflammasome-driven ailments by concentrating on HSP90. JCI Perception. 6, e134601–e134601 (2021).
Choudhury, A. et al. Inhibition of HSP90 and activation of HSF1 diminishes macrophage NLRP3 inflammasome exercise in alcoholic liver harm. Alcohol Clin. Exp. Res. 44, 1300–1311 (2020).
Liu, Y. et al. Warmth Shock Proteins and Ferroptosis. Entrance. Cell. Dev. Biol. 10, 864635 (2022).
Fitrolaki, M. D. et al. Elevated extracellular warmth shock protein 90α in extreme sepsis and SIRS related to a number of organ failure and associated to acute inflammatory-metabolic stress response in youngsters. Med. (Baltim). 95, e4651 (2016).
Yan, N. et al. CD163 and the FVIII/FXII ratio recognized as novel biomarkers for early sepsis recognition. Entrance. Med. (Lausanne). 13, 1682209 (2026).
Plevriti, A. et al. The Position of Soluble CD163 (sCD163) in Human Physiology and Pathophysiology. Cells 13, 1679 (2024).
Gaïni, S. et al. New immunological serum markers in bacteraemia: anti-inflammatory soluble CD163, however not proinflammatory excessive mobility group-box 1 protein, is said to prognosis. Clin. Exp. Immunol. 151, 423–431 (2008).
Møller, H. J. et al. Macrophage serum markers in pneumococcal bacteremia: Prediction of survival by soluble CD163*. Crit. Care Med. 34, 2561 (2006).
Mierzchała-Pasierb, M., Lipińska-Gediga, M., Lewandowski, Ł. & Krzystek-Korpacka, M. Alterations in Serum Focus of Soluble CD163 inside 5 Research Days from ICU Admission Are Related to In-Hospital Mortality of Septic Sufferers-A Preliminary Research. Int. J. Environ. Res. Public. Well being. 20, 2263 (2023).
Eckert, R. E., Neuder, L. E., Park, J., Adler, Ok. B. & Jones, S. L. Myristoylated alanine-rich C-kinase substrate (MARCKS) protein regulation of human neutrophil migration. Am. J. Respir Cell. Mol. Biol. 42, 586–594 (2010).
Inexperienced, T. D. et al. Directed migration of mouse macrophages in vitro entails myristoylated alanine-rich C-kinase substrate (MARCKS) protein. J. Leukoc. Biol. 92, 633–639 (2012).
Albert, A. P., Jahan, Ok. S., Greenberg, H. Z. E. & Shamsaldeen, Y. A. Position for the PIP2-binding protein myristoylated alanine‐wealthy C‐kinase substrate in vascular tissue: A novel therapeutic goal for heart problems. J. Cell. Commun. Sign. 18, e12052 (2024).
Darmoise, A., Maschmeyer, P. & Winau, F. The immunological features of saposins. Adv. Immunol. 105, 25–62 (2010).
Jiang, L. et al. Exploring biomarkers for diagnosing and predicting organ dysfunction in sufferers with perioperative sepsis: a preliminary investigation. Perioper Med. (Lond). 13, 81 (2024).
Yamaguchi, J. et al. Elevated oxidative stress and renal harm in sufferers with sepsis. J. Clin. Biochem. Nutr. 63, 137–143 (2018).
Esmail, S. & Manolson, M. F. Advances in understanding N-glycosylation construction, perform, and regulation in well being and illness. Eur. J. Cell Biol. 100, 151186 (2021).
De Masi, R. & Orlando, S. GANAB and N-Glycans Substrates Are Related in Human Physiology, Polycystic Pathology and A number of Sclerosis: A Assessment. Int. J. Mol. Sci. 23, 7373 (2022).
Khan, M. M., Yang, W. L. & Wang, P. Endoplasmic Reticulum Stress in Sepsis. Shock 44, 294–304 (2015).
Głuszek, S. et al. Genetic Variability within the CPA1 Gene and Its Impression on Acute Pancreatitis Threat: New Insights from a Giant-Scale Research. Int. J. Mol. Sci. 25, 11301 (2024).
Huang, L., Wang, X., Huang, B., Chen, Y. & Wu, X. Bisphosphoglycerate mutase predicts myocardial dysfunction and adversarial end result in sepsis: an observational cohort examine. BMC Infect. Dis. 24, 173 (2024).
Rabbani, B. et al. Pancreatitis as a Major Consequence of APOC2-Associated Hypertriglyceridemia: The Position of Nonsense and Frameshift Variants. Int J Genomics 6653857 (2024). (2024).
Brahm, A. J. & Hegele, R. A. Chylomicronaemia–present prognosis and future therapies. Nat. Rev. Endocrinol. 11, 352–362 (2015).
Li, M. et al. Identification of novel biomarkers for sepsis prognosis by way of serum proteomic evaluation utilizing iTRAQ-2D-LC-MS/MS. J. Clin. Lab. Anal. 36, e24142 (2022).
Ken-Dror, G., Talmud, P. J., Humphries, S. E. & Drenos, F. APOE/C1/C4/C2 Gene Cluster Genotypes, Haplotypes and Lipid Ranges in Potential Coronary Coronary heart Illness Threat Amongst UK Wholesome Males. Mol. Med. 16, 389–399 (2010).
Giustozzi, M. et al. Coagulopathy and sepsis: Pathophysiology, scientific manifestations and remedy. Blood Rev. 50, 100864 (2021).
Lupu, F., Keshari, R. S. & Lambris, J. D. Mark Coggeshall, Ok. Crosstalk between the coagulation and complement techniques in sepsis. Thromb. Res. 133, S28–S31 (2014).
Monroe, D. M. & Hoffman, M. What does it take to make the right clot? Arterioscler. Thromb. Vasc Biol. 26, 41–48 (2006).
Longstaff, C. & Kolev, Ok. Primary mechanisms and regulation of fibrinolysis. J. Thromb. Haemost. 13 (Suppl 1), S98–105 (2015).
Hofmaenner, D. A., Kleyman, A., Press, A., Bauer, M. & Singer, M. The Many Roles of Ldl cholesterol in Sepsis: A Assessment. Am. J. Respir Crit. Care Med. 205, 388–396 (2022).
Taylor, R. et al. Low circulatory ranges of whole ldl cholesterol, HDL-C and LDL-C are related to dying of sufferers with sepsis and significant sickness: systematic overview, meta-analysis, and perspective of observational research. eBioMedicine 100, 104981 (2024).
Sappati Biyyani, R. S. R., Putka, B. S. & Mullen, Ok. D. Dyslipidemia and lipoprotein profiles in sufferers with inflammatory bowel illness. J. Clin. Lipidol. 4, 478–482 (2010).
Candan, Z. et al. Serum lipid adjustments and insulin resistance in familial Mediterranean fever. Eur. J. Rheumatol. 1, 140–143 (2014).
Khan, J., Nordback, I. & Sand, J. Serum lipid ranges are related to the severity of acute pancreatitis. Digestion 87, 223–228 (2013).
Peng, Y. S. et al. Serum ranges of apolipoprotein A-I and high-density lipoprotein can predict organ failure in acute pancreatitis. Crit. Care. 19, 88 (2015).
Ersahin, T., Tuncbag, N. & Cetin-Atalay, R. The PI3K/AKT/mTOR interactive pathway. Mol. Biosyst. 11, 1946–1954 (2015).
Pan, T. et al. Immune results of PI3K/Akt/HIF-1α-regulated glycolysis in polymorphonuclear neutrophils throughout sepsis. Crit. Care. 26, 29 (2022).
Perez-Riverol, Y. et al. The PRIDE database at 20 years: 2025 replace. Nucleic Acids Res. 53, D543–D553 (2025).
