Biologic Mechanisms Underlying the Heterogeneous Response to Tight Glycemic Control among Differentially Inflamed Patients in the HALF-PINT Trial
Tight glycemic control (TGC) with insulin has not consistently shown benefit in critically ill patients. We previously reported that the subset of children with a hyperinflammatory subphenotype benefited from TGC in the HALF-PINT (Heart and Lung Failure - Pediatric Insulin Titration) study of hyperg...
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Published in | American journal of respiratory and critical care medicine Vol. 211; no. 8; pp. 1463 - 1473 |
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Main Authors | , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
American Thoracic Society
01.08.2025
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Subjects | |
Online Access | Get full text |
ISSN | 1073-449X 1535-4970 1535-4970 |
DOI | 10.1164/rccm.202409-1719OC |
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Abstract | Tight glycemic control (TGC) with insulin has not consistently shown benefit in critically ill patients. We previously reported that the subset of children with a hyperinflammatory subphenotype benefited from TGC in the HALF-PINT (Heart and Lung Failure - Pediatric Insulin Titration) study of hyperglycemic children with heart and lung failure and the IIT-SBPP (Intensive Insulin Treatment - Severely Burned Pediatric Patients) study in severely burned pediatric patients. However, whether this effect was mediated through a reduction in inflammation or some other biologic process is not fully understood.
To deepen the understanding of inflammatory subphenotypes and explore the biologic mechanisms underlying heterogeneous response to TGC.
Plasma cytokine measurements and whole-blood transcriptomics from 740 blood samples collected on Pre- and Post-treatment Study Days 0, 2, and 4 from 293 HALF-PINT participants (
= 250 hypoinflammatory and
= 43 hyperinflammatory) were used to identify cytokine and gene expression signatures of differential responses to TGC.
Patients with the hyperinflammatory subphenotype had greater baseline expression of genes relating to inflammation, cell-cycle activity, and immunometabolism. Hyperinflammatory patients treated to a target glucose range of 80-110 mg/dl experienced greater reductions in inflammatory cytokines, innate immune gene expression, and heme metabolism gene expression, as well as an increase in lymphocyte gene expression, compared with those treated to a target range of 150-180 mg/dl. Causal mediation testing indicated that these changes partly explained the observed mortality benefit of TGC in the hyperinflammatory subgroup of patients.
These findings expand our understanding of the biology underlying inflammatory subphenotypes and provide biologic insight into the mortality benefit of TGC in hyperinflammatory children. |
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AbstractList | Tight glycemic control (TGC) with insulin has not consistently improved outcomes in critically ill children, though prior studies suggested benefit in those with a hyperinflammatory subphenotype. This study examined inflammatory and molecular mechanisms underlying variable TGC responses. Plasma cytokine levels and whole-blood transcriptomics were analyzed from 740 samples of 293 participants in the HALF-PINT trial. Compared with hypoinflammatory patients, those with the hyperinflammatory subphenotype exhibited higher baseline expression of inflammatory, cell-cycle, and immunometabolism genes. Among hyperinflammatory patients, targeting glucose levels of 80-110 mg/dl reduced inflammatory cytokines, innate immune and heme metabolism gene expression, and increased lymphocyte gene expression relative to higher glucose targets. Mediation analysis indicated these biologic changes contributed to the mortality benefit of TGC. These findings clarify inflammatory subphenotypes and provide mechanistic insight into TGC's survival advantage in hyperinflammatory pediatric patients. Tight glycemic control with insulin (TGC) has not consistently shown benefit in critically ill patients. We previously reported that the subset of children with a hyperinflammatory subphenotype benefitted from TGC in the HALF-PINT study of hyperglycemic children with heart and lung failure and the IIT-SBPP study in severely burned pediatric patients. However, whether this effect was mediated through a reduction in inflammation or some other biological process is not fully understood.RATIONALETight glycemic control with insulin (TGC) has not consistently shown benefit in critically ill patients. We previously reported that the subset of children with a hyperinflammatory subphenotype benefitted from TGC in the HALF-PINT study of hyperglycemic children with heart and lung failure and the IIT-SBPP study in severely burned pediatric patients. However, whether this effect was mediated through a reduction in inflammation or some other biological process is not fully understood.To deepen the understanding of inflammatory subphenotypes and explore the biological mechanisms underlying heterogeneous response to TGC.OBJECTIVESTo deepen the understanding of inflammatory subphenotypes and explore the biological mechanisms underlying heterogeneous response to TGC.Plasma cytokine measurements and whole blood transcriptomics from 740 blood samples collected on pre- and post- treatment study days 0, 2, and 4 from 293 HALF-PINT participants (n=250 hypoinflammatory and n=43 hyperinflammatory) were used to identify cytokine and gene expression signatures of differential responses to TGC.METHODSPlasma cytokine measurements and whole blood transcriptomics from 740 blood samples collected on pre- and post- treatment study days 0, 2, and 4 from 293 HALF-PINT participants (n=250 hypoinflammatory and n=43 hyperinflammatory) were used to identify cytokine and gene expression signatures of differential responses to TGC.Patients with hyperinflammatory subphenotype had greater baseline expression of genes relating to inflammation, cell cycle activity, and immunometabolism. Hyperinflammatory patients treated to a target glucose range of 80-110 mg/dL experienced greater reduction in inflammatory cytokines, innate immune gene expression, and heme metabolism gene expression, as well as an increase in lymphocyte gene expression, compared to those treated to a target range of 150-180 mg/dL. Causal mediation testing indicated that these changes partly explained the observed mortality benefit of TGC in the hyperinflammatory subgroup of patients.MEASUREMENTS AND RESULTSPatients with hyperinflammatory subphenotype had greater baseline expression of genes relating to inflammation, cell cycle activity, and immunometabolism. Hyperinflammatory patients treated to a target glucose range of 80-110 mg/dL experienced greater reduction in inflammatory cytokines, innate immune gene expression, and heme metabolism gene expression, as well as an increase in lymphocyte gene expression, compared to those treated to a target range of 150-180 mg/dL. Causal mediation testing indicated that these changes partly explained the observed mortality benefit of TGC in the hyperinflammatory subgroup of patients.These findings expand our understanding of the biology underlying inflammatory subphenotypes, and provide biological insight into the mortality benefit of TGC in hyperinflammatory children.CONCLUSIONSThese findings expand our understanding of the biology underlying inflammatory subphenotypes, and provide biological insight into the mortality benefit of TGC in hyperinflammatory children. Tight glycemic control (TGC) with insulin has not consistently shown benefit in critically ill patients. We previously reported that the subset of children with a hyperinflammatory subphenotype benefited from TGC in the HALF-PINT (Heart and Lung Failure - Pediatric Insulin Titration) study of hyperglycemic children with heart and lung failure and the IIT-SBPP (Intensive Insulin Treatment - Severely Burned Pediatric Patients) study in severely burned pediatric patients. However, whether this effect was mediated through a reduction in inflammation or some other biologic process is not fully understood. To deepen the understanding of inflammatory subphenotypes and explore the biologic mechanisms underlying heterogeneous response to TGC. Plasma cytokine measurements and whole-blood transcriptomics from 740 blood samples collected on Pre- and Post-treatment Study Days 0, 2, and 4 from 293 HALF-PINT participants ( = 250 hypoinflammatory and = 43 hyperinflammatory) were used to identify cytokine and gene expression signatures of differential responses to TGC. Patients with the hyperinflammatory subphenotype had greater baseline expression of genes relating to inflammation, cell-cycle activity, and immunometabolism. Hyperinflammatory patients treated to a target glucose range of 80-110 mg/dl experienced greater reductions in inflammatory cytokines, innate immune gene expression, and heme metabolism gene expression, as well as an increase in lymphocyte gene expression, compared with those treated to a target range of 150-180 mg/dl. Causal mediation testing indicated that these changes partly explained the observed mortality benefit of TGC in the hyperinflammatory subgroup of patients. These findings expand our understanding of the biology underlying inflammatory subphenotypes and provide biologic insight into the mortality benefit of TGC in hyperinflammatory children. |
Author | Nadkarni, Vinay M. Markovic, Daniela Wong, Kayley McQuillen, Patrick S. Vangala, Sitaram S. Balliu, Brunilda Sapru, Anil Zinter, Matt S. Sinha, Pratik Taylor, Clove S. Asaro, Lisa A. Matthay, Michael A. Gala, Kinisha P. Agus, Michael S. D. Pellegrini, Matteo |
AuthorAffiliation | 5 Department of Computational Medicine; University of California, Los Angeles; Los Angeles, CA, USA 7 Department of Anesthesiology and Critical Care Medicine, Children’s Hospital of Philadelphia, and Perelman School of Medicine, University of Pennsylvania; Philadelphia, PA, USA 1 Department of Pediatrics, Divisions of Critical Care Medicine and Allergy, Immunology, and Bone Marrow Transplant; University of California, San Francisco; San Francisco, CA, USA 9 Department of Anesthesia, Division of Clinical and Translational Research; Washington University, Saint Louis, MO, USA 6 Department of Cardiology, Boston Children’s Hospital, Boston, MA, USA 8 Departments of Pediatrics, Division of Critical Care Medicine and Department of Neurology; University of California, San Francisco; San Francisco, CA, USA 3 Department of Medicine, Division of General Internal Medicine and Health Sciences Research; University of California, Los Angeles; Los Angeles, CA, USA 11 Department of Pediatrics, Division of Me |
AuthorAffiliation_xml | – name: 1 Department of Pediatrics, Divisions of Critical Care Medicine and Allergy, Immunology, and Bone Marrow Transplant; University of California, San Francisco; San Francisco, CA, USA – name: 4 Department of Molecular, Cell, and Developmental Biology; University of California, Los Angeles; Los Angeles, CA, USA – name: 11 Department of Pediatrics, Division of Medical Critical Care, Boston Children’s Hospital; Department of Pediatrics, Harvard Medical School, Boston, MA, USA – name: 10 Departments of Medicine and Anesthesia, Cardiovascular Research Institute; University of California, San Francisco; San Francisco, CA, USA – name: 9 Department of Anesthesia, Division of Clinical and Translational Research; Washington University, Saint Louis, MO, USA – name: 6 Department of Cardiology, Boston Children’s Hospital, Boston, MA, USA – name: 2 Department of Pediatrics, Division of Critical Care Medicine; University of California, Los Angeles; Los Angeles, CA, USA – name: 3 Department of Medicine, Division of General Internal Medicine and Health Sciences Research; University of California, Los Angeles; Los Angeles, CA, USA – name: 7 Department of Anesthesiology and Critical Care Medicine, Children’s Hospital of Philadelphia, and Perelman School of Medicine, University of Pennsylvania; Philadelphia, PA, USA – name: 5 Department of Computational Medicine; University of California, Los Angeles; Los Angeles, CA, USA – name: 8 Departments of Pediatrics, Division of Critical Care Medicine and Department of Neurology; University of California, San Francisco; San Francisco, CA, USA |
Author_xml | – sequence: 1 givenname: Matt S. orcidid: 0000-0003-3351-3278 surname: Zinter fullname: Zinter, Matt S. – sequence: 2 givenname: Clove S. orcidid: 0009-0001-7434-0951 surname: Taylor fullname: Taylor, Clove S. – sequence: 3 givenname: Daniela surname: Markovic fullname: Markovic, Daniela – sequence: 4 givenname: Matteo surname: Pellegrini fullname: Pellegrini, Matteo – sequence: 5 givenname: Kayley surname: Wong fullname: Wong, Kayley – sequence: 6 givenname: Brunilda surname: Balliu fullname: Balliu, Brunilda – sequence: 7 givenname: Kinisha P. surname: Gala fullname: Gala, Kinisha P. – sequence: 8 givenname: Lisa A. surname: Asaro fullname: Asaro, Lisa A. – sequence: 9 givenname: Vinay M. surname: Nadkarni fullname: Nadkarni, Vinay M. – sequence: 10 givenname: Patrick S. surname: McQuillen fullname: McQuillen, Patrick S. – sequence: 11 givenname: Sitaram S. surname: Vangala fullname: Vangala, Sitaram S. – sequence: 12 givenname: Pratik surname: Sinha fullname: Sinha, Pratik – sequence: 13 givenname: Michael A. surname: Matthay fullname: Matthay, Michael A. – sequence: 14 givenname: Michael S. D. surname: Agus fullname: Agus, Michael S. D. – sequence: 15 givenname: Anil orcidid: 0000-0003-1528-8249 surname: Sapru fullname: Sapru, Anil |
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Keywords | transcriptomics critical care outcomes tight glycemic control inflammation causal mediation |
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Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 MSZ and CST are co-first authors. Author Contributions: MSZ, CST, DM, and AS made substantial contributions to the conception or design of the work. MSZ, CST, DM, KW, BB, KPG, and AS contributed to the acquisition of data. All authors contributed to the analysis and interpretation of data. MSZ, CST, DM, and AS contributed to drafting the work. All authors contributed to critically reviewing the work for important intellectual content and give final approval of the version to be published. MSZ and AS agree to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. |
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Snippet | Tight glycemic control (TGC) with insulin has not consistently shown benefit in critically ill patients. We previously reported that the subset of children... Tight glycemic control (TGC) with insulin has not consistently improved outcomes in critically ill children, though prior studies suggested benefit in those... Tight glycemic control with insulin (TGC) has not consistently shown benefit in critically ill patients. We previously reported that the subset of children... |
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SubjectTerms | Adolescent Blood Glucose Burns - complications Child Child, Preschool Critical care Critical Illness - therapy Cytokines Cytokines - blood Female Gene expression Glucose Glycemic Control - methods Humans Hypoglycemic Agents - therapeutic use Inflammation Inflammation - blood Inflammation - drug therapy Insulin - administration & dosage Insulin - therapeutic use Male |
Title | Biologic Mechanisms Underlying the Heterogeneous Response to Tight Glycemic Control among Differentially Inflamed Patients in the HALF-PINT Trial |
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