Clinical recovery from surgery correlates with single-cell immune signatures

Single-cell mass cytometry revealed immune correlates of patient-associated variability in surgical recovery. Signaling Surgical Recovery The speed and ease of recovery after surgery differ for every patient, and determining the mechanisms that drive recovery could lead to patient-specific recovery protocols. Gaudilliere et al. used mass cytometry to characterize postsurgical immunological insult at a single-cell level and found a surgical immune signature that correlated with clinical recovery across patients. Specifically, cell signaling responses, but not cell frequency, were linked to recovery. Moreover, the correlated signaling responses occurred most notably in CD14+ monocytes, suggesting that these cells may play a predominant role in surgical recovery. The consistency of this signature across patients suggests a tightly regulated immune response to surgical trauma, which, if validated, may form the basis of a diagnostic guideline for personalized postsurgical care. Delayed recovery from surgery causes personal suffering and substantial societal and economic costs. Whether immune mechanisms determine recovery after surgical trauma remains ill-defined. Single-cell mass cytometry was applied to serial whole-blood samples from 32 patients undergoing hip replacement to comprehensively characterize the phenotypic and functional immune response to surgical trauma. The simultaneous analysis of 14,000 phosphorylation events in precisely phenotyped immune cell subsets revealed uniform signaling responses among patients, demarcating a surgical immune signature. When regressed against clinical parameters of surgical recovery, including functional impairment and pain, strong correlations were found with STAT3 (signal transducer and activator of transcription), CREB (adenosine 3′,5′-monophosphate response element–binding protein), and NF-κB (nuclear factor κB) signaling responses in subsets of CD14+ monocytes (R = 0.7 to 0.8, false discovery rate <0.01). These sentinel results demonstrate the capacity of mass cytometry to survey the human immune system in a relevant clinical context. The mechanistically derived immune correlates point to diagnostic signatures, and potential therapeutic targets, that could postoperatively improve patient recovery.

[1]  M. J. Cody,et al.  TLR4, but not TLR2, mediates IFN-β–induced STAT1α/β-dependent gene expression in macrophages , 2002, Nature Immunology.

[2]  Karen Sachs,et al.  Multiplexed mass cytometry profiling of cellular states perturbed by small-molecule regulators , 2012, Nature Biotechnology.

[3]  R. Tibshirani,et al.  Significance analysis of microarrays applied to the ionizing radiation response , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[4]  Garry P Nolan,et al.  Single-cell Mass Cytometry for Analysis of Immune System Functional States This Review Comes from a Themed Issue on Host Pathogens Basic Concepts of Mass Cytometry , 2022 .

[5]  E. Idvall,et al.  Postoperative recovery: a concept analysis. , 2007, Journal of advanced nursing.

[6]  K. Tracey,et al.  HMGB1 is a therapeutic target for sterile inflammation and infection. , 2011, Annual review of immunology.

[7]  M. Jensen,et al.  Interpretation of visual analog scale ratings and change scores: a reanalysis of two clinical trials of postoperative pain. , 2003, The journal of pain : official journal of the American Pain Society.

[8]  K. Tracey,et al.  Alarmins: awaiting a clinical response. , 2012, The Journal of clinical investigation.

[9]  R. Plenge,et al.  JAK and STAT signaling molecules in immunoregulation and immune-mediated disease. , 2012, Immunity.

[10]  John E. Ware,et al.  SF-36 Health Survey Update , 2000, Spine.

[11]  J. Paddison,et al.  Development and validation of the Surgical Recovery Scale (SRS). , 2011, The Journal of surgical research.

[12]  D. Kwiatkowski,et al.  Systemic cytokine response after major surgery , 1992, The British journal of surgery.

[13]  D. Wilmore From Cuthbertson to Fast-Track Surgery: 70 Years of Progress in Reducing Stress in Surgical Patients , 2002, Annals of surgery.

[14]  W. Berry,et al.  An estimation of the global volume of surgery: a modelling strategy based on available data , 2008, The Lancet.

[15]  R. Simmons,et al.  Immunodepression after major surgery in normal patients. , 1975, Surgery.

[16]  Sean C. Bendall,et al.  Normalization of mass cytometry data with bead standards , 2013, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

[17]  J. Rosenberg,et al.  Factors determining convalescence after uncomplicated laparoscopic cholecystectomy. , 2001, Archives of surgery.

[18]  D. Silverman,et al.  Integration of pain score and morphine consumption in analgesic clinical studies. , 2013, The journal of pain : official journal of the American Pain Society.

[19]  E. Epel,et al.  Surgical stress-induced immune cell redistribution profiles predict short-term and long-term postsurgical recovery. A prospective study. , 2009, The Journal of bone and joint surgery. American volume.

[20]  E. Kreuzfelder,et al.  HLA-DR expression and soluble HLA-DR levels in septic patients after trauma. , 1999, Annals of surgery.

[21]  Navrag B. Singh,et al.  Terminally Differentiated CD8+ T Cells Negatively Affect Bone Regeneration in Humans , 2013, Science Translational Medicine.

[22]  P. Giannoudis,et al.  Immediate IL-10 expression following major orthopaedic trauma: relationship to anti-inflammatory response and subsequent development of sepsis , 2000, Intensive Care Medicine.

[23]  J. Lederer,et al.  Trauma equals danger—damage control by the immune system , 2012, Journal of leukocyte biology.

[24]  D. Gabrilovich,et al.  Molecular mechanisms regulating myeloid-derived suppressor cell differentiation and function. , 2011, Trends in immunology.

[25]  R. Nussenblatt,et al.  Standardizing immunophenotyping for the Human Immunology Project , 2012, Nature Reviews Immunology.

[26]  James R. Johnson,et al.  Oscillations in NF-κB Signaling Control the Dynamics of Gene Expression , 2004, Science.

[27]  G. Tomlinson,et al.  Enhanced recovery pathways optimize health outcomes and resource utilization: a meta-analysis of randomized controlled trials in colorectal surgery. , 2011, Surgery.

[28]  E. Hagiwara,et al.  A Concept Analysis , 2013 .

[29]  Sean C. Bendall,et al.  Single-Cell Mass Cytometry of Differential Immune and Drug Responses Across a Human Hematopoietic Continuum , 2011, Science.

[30]  J. Rosenberg,et al.  Prospective analysis of convalescence and early pain after uncomplicated laparoscopic fundoplication , 2004, The British journal of surgery.

[31]  J. A. Lopez,et al.  Surgical and physical stress increases circulating blood dendritic cell counts independently of monocyte counts. , 2001, Blood.

[32]  A. Hoffmann,et al.  Signaling pathways and genes that inhibit pathogen-induced macrophage apoptosis--CREB and NF-kappaB as key regulators. , 2005, Immunity.

[33]  M. Maze,et al.  Depletion of Bone Marrow–derived Macrophages Perturbs the Innate Immune Response to Surgery and Reduces Postoperative Memory Dysfunction , 2013, Anesthesiology.

[34]  L. Feldman,et al.  What does it really mean to "recover" from an operation? , 2014, Surgery.

[35]  B. Beutler,et al.  Inferences, questions and possibilities in Toll-like receptor signalling , 2004, Nature.

[36]  Hauke Winter,et al.  Immunological effects of laparoscopic vs open colorectal surgery: a prospective clinical study. , 2005, Archives of surgery.

[37]  K. Asadullah,et al.  Monocyte deactivation in septic patients: Restoration by IFN-γ treatment , 1997, Nature Medicine.

[38]  A Tárnok,et al.  Preoperative prediction of postoperative edema and effusion in pediatric cardiac surgery by altered antigen expression patterns on granulocytes and monocytes. , 2001, Cytometry.

[39]  S. Calvano,et al.  Inflammatory cytokines and cell response in surgery. , 2000, Surgery.

[40]  J. Ochoa,et al.  CD11b+/Gr-1+ Myeloid Suppressor Cells Cause T Cell Dysfunction after Traumatic Stress1 , 2006, The Journal of Immunology.

[41]  S. Gringhuis,et al.  Signalling through C-type lectin receptors: shaping immune responses , 2009, Nature Reviews Immunology.

[42]  P. Salmon,et al.  Relationship of the functional recovery after hip arthroplasty to the neuroendocrine and inflammatory responses. , 2001, British journal of anaesthesia.

[43]  C. Debout [Concept analysis]. , 2015, Soins; la revue de reference infirmiere.

[44]  D. Mougiakakos,et al.  Immature immunosuppressive CD14+HLA-DR-/low cells in melanoma patients are Stat3hi and overexpress CD80, CD83, and DC-sign. , 2010, Cancer research.

[45]  R. Hotchkiss,et al.  Immunotherapy for sepsis--a new approach against an ancient foe. , 2010, The New England journal of medicine.

[46]  R. Tibshirani,et al.  Automated identification of stratifying signatures in cellular subpopulations , 2014, Proceedings of the National Academy of Sciences.

[47]  J. Monson,et al.  Changes in major histocompatibility complex class II expression in monocytes and T cells of patients developing infection after surgery , 1993, The British journal of surgery.

[48]  John D. Storey,et al.  A genomic storm in critically injured humans , 2011, The Journal of experimental medicine.

[49]  C. Goldsmith,et al.  Validation study of WOMAC: a health status instrument for measuring clinically important patient relevant outcomes to antirheumatic drug therapy in patients with osteoarthritis of the hip or knee. , 1988, The Journal of rheumatology.

[50]  J. Lederer,et al.  Injury, sepsis, and the regulation of Toll‐like receptor responses , 2004, Journal of leukocyte biology.

[51]  Henrik Kehlet,et al.  Anaesthesia, surgery, and challenges in postoperative recovery , 2003, The Lancet.

[52]  A. Beck,et al.  Internal consistencies of the original and revised Beck Depression Inventory. , 1984, Journal of clinical psychology.