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Seymour CW, Urbanek KL, Nakayama A, Kennedy JN, Powell R, Robinson RAS, Kapp KL, Billiar TR, Vodovotz Y, Gelhaus SL, Cooper VS, Tang L, Mayr F, Reitz KM, Horvat C, Meyer NJ, Dickson RP, Angus D, Palmer OP. A Prospective Cohort Protocol for the Remnant Investigation in Sepsis Study. Crit Care Explor 2023; 5:e0974. [PMID: 38304708 PMCID: PMC10833627 DOI: 10.1097/cce.0000000000000974] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2024] Open
Abstract
BACKGROUND Sepsis is a common and deadly syndrome, accounting for more than 11 million deaths annually. To mature a deeper understanding of the host and pathogen mechanisms contributing to poor outcomes in sepsis, and thereby possibly inform new therapeutic targets, sophisticated, and expensive biorepositories are typically required. We propose that remnant biospecimens are an alternative for mechanistic sepsis research, although the viability and scientific value of such remnants are unknown. METHODS AND RESULTS The Remnant Biospecimen Investigation in Sepsis study is a prospective cohort study of 225 adults (age ≥ 18 yr) presenting to the emergency department with community sepsis, defined as sepsis-3 criteria within 6 hours of arrival. The primary objective was to determine the scientific value of a remnant biospecimen repository in sepsis linked to clinical phenotyping in the electronic health record. We will study candidate multiomic readouts of sepsis biology, governed by a conceptual model, and determine the precision, accuracy, integrity, and comparability of proteins, small molecules, lipids, and pathogen sequencing in remnant biospecimens compared with paired biospecimens obtained according to research protocols. Paired biospecimens will include plasma from sodium-heparin, EDTA, sodium fluoride, and citrate tubes. CONCLUSIONS The study has received approval from the University of Pittsburgh Human Research Protection Office (Study 21120013). Recruitment began on October 25, 2022, with planned release of primary results anticipated in 2024. Results will be made available to the public, the funders, critical care societies, laboratory medicine scientists, and other researchers.
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Affiliation(s)
- Christopher W Seymour
- Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA
- Department of Critical Care Medicine, The CRISMA Center, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Kelly Lynn Urbanek
- Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA
- Department of Critical Care Medicine, The CRISMA Center, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Anna Nakayama
- Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA
- Department of Critical Care Medicine, The CRISMA Center, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Jason N Kennedy
- Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA
- Department of Critical Care Medicine, The CRISMA Center, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Rachel Powell
- Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA
- Department of Critical Care Medicine, The CRISMA Center, University of Pittsburgh School of Medicine, Pittsburgh, PA
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | | | - Kathryn L Kapp
- Department of Chemistry, Vanderbilt University, Nashville, TN
| | | | | | - Stacy L Gelhaus
- Department of Pharmacology and Chemical Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Vaughn S Cooper
- Department of Microbiology and Molecular Genetics, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Lu Tang
- Department of Biostatistics, University of Pittsburgh School of Public Health, Pittsburgh, PA
| | - Flo Mayr
- Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA
- Department of Critical Care Medicine, The CRISMA Center, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Katherine M Reitz
- Department of Critical Care Medicine, The CRISMA Center, University of Pittsburgh School of Medicine, Pittsburgh, PA
- Department of Surgery, UPMC, Pittsburgh, PA
| | - Christopher Horvat
- Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA
- Department of Critical Care Medicine, The CRISMA Center, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Nuala J Meyer
- Pulmonary, Allergy, and Critical Care Medicine Division, Center for Translational Lung Biology University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Robert P Dickson
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan Health System, Ann Arbor, MI
- Department of Microbiology and Immunology, University of Michigan Medical School, Ann Arbor, MI
- Division of Pulmonary & Critical Care Medicine, Weil Institute for Critical Care Research and Innovation, Ann Arbor, MI
| | - Derek Angus
- Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA
- Department of Critical Care Medicine, The CRISMA Center, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Octavia Peck Palmer
- Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA
- Department of Critical Care Medicine, The CRISMA Center, University of Pittsburgh School of Medicine, Pittsburgh, PA
- Department of Microbiology and Molecular Genetics, University of Pittsburgh School of Medicine, Pittsburgh, PA
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2
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Moriarity DP, Slavich GM. The future is dynamic: A call for intensive longitudinal data in immunopsychiatry. Brain Behav Immun 2023; 112:118-124. [PMID: 37286174 PMCID: PMC10411233 DOI: 10.1016/j.bbi.2023.06.002] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Revised: 05/09/2023] [Accepted: 06/03/2023] [Indexed: 06/09/2023] Open
Abstract
The long-term value of immunopsychiatry will be based on its ability to translate basic science into effective clinical interventions. In this article, we discuss a key obstacle to achieving this important translational goal-namely, the preponderance of studies that are cross-sectional, or that have months-to-years long follow-up periods. Immunopsychiatric processes such as stress, inflammation, and depression symptoms are inherently dynamic and fluctuate over hours, days, and weeks. This fact suggests that higher-density data collection with only days between measurements is necessary to capture-with adequate resolution-the actual dynamics of these systems, determine optimal time lags with which to observe associations between variables of interest, and maximize the translational potential of these data. To illustrate these points, we use pilot data from our own intensive longitudinal immunopsychiatric study. We then conclude by making several recommendations for future research. By learning how to better use existing data for dynamically informative studies as well as collecting intensive longitudinal data, we believe immunopsychiatry will be much better positioned to advance our causal understanding of the interplay between the immune system and health.
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Affiliation(s)
- Daniel P Moriarity
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA.
| | - George M Slavich
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
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3
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Yarimizu K, Nakane M, Onodera Y, Matsuuchi T, Suzuki H, Yoshioka M, Kudo M, Kawamae K. Prognostic Value of Antithrombin Activity Levels in the Early Phase of Intensive Care: A 2-Center Retrospective Cohort Study. Clin Appl Thromb Hemost 2023; 29:10760296231218711. [PMID: 38099709 PMCID: PMC10725115 DOI: 10.1177/10760296231218711] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 10/19/2023] [Accepted: 11/18/2023] [Indexed: 12/18/2023] Open
Abstract
To investigate the relationship between antithrombin (AT) activity level and prognosis in patients requiring intensive care. Patients whose AT activity was measured within 24 h of intensive care unit (ICU) admission were enrolled for analysis. The primary endpoint was mortality at discharge. Prognostic accuracy was examined using receiver operating characteristic (ROC) curves and cox hazard regression analysis. Patients were divided into 6 groups based on predicted mortality, and a χ2 independence test was performed on the prognostic value of AT activity for each predicted mortality; P < .05 was considered significant. A total of 281 cases were analyzed. AT activity was associated with mortality at discharge (AT% [interquartile range, IQR]): survivor group, 69 (56-86) versus nonsurvivor group, 56 (44-73), P = .0003). We found an increasing risk for mortality in both the lowest level of AT activity (<50%; hazard ratio [HR] 2.43, 95% confidence interval [CI] 1.20-4.89, P = .01) and the middle-low level of AT activity (≥ 50% and < 70%; HR 2.06, 95% CI 1.06-4.02, P = .03), compared with the normal AT activity level (≥ 70%). ROC curve analysis showed that the prediction accuracy of AT was an area under the curve (AUC) of 0.66 (cutoff 58%, sensitivity 61.4%, specificity 68.2%, P = .0003). AT activity was significantly prognostic in the group with 20% to 50% predicted mortality (AUC 0.74, sensitivity: 24.0%-55.5%, specificity: 83.3%-93.0%). An early decrease in AT activity level in ICU patients may be a predictor of mortality at discharge.
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Affiliation(s)
- Kenya Yarimizu
- Department of Anesthesiology, Yamagata University Hospital, Yamagata, Japan
| | - Masaki Nakane
- Department of Emergency and Critical Care Medicine, Yamagata University Hospital, Yamagata, Japan
| | - Yu Onodera
- Department of Anesthesiology, Yamagata University Hospital, Yamagata, Japan
| | - Taro Matsuuchi
- Department of Anesthesia, Nihonkai General Hospital, Yamagata, Japan
| | - Hiroto Suzuki
- Department of Anesthesiology, Yamagata University Hospital, Yamagata, Japan
| | - Masatomo Yoshioka
- Department of Emergency Medicine, Nihonkai General Hospital, Yamagata, Japan
| | - Masaya Kudo
- Department of Anesthesia, Nihonkai General Hospital, Yamagata, Japan
| | - Kaneyuki Kawamae
- Department of Anesthesiology, Yamagata University Hospital, Yamagata, Japan
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4
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Shah AM, Zamora R, Korff S, Barclay D, Yin J, El-Dehaibi F, Billiar TR, Vodovotz Y. Inferring Tissue-Specific, TLR4-Dependent Type 17 Immune Interactions in Experimental Trauma/Hemorrhagic Shock and Resuscitation Using Computational Modeling. Front Immunol 2022; 13:908618. [PMID: 35663944 PMCID: PMC9160183 DOI: 10.3389/fimmu.2022.908618] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Accepted: 04/21/2022] [Indexed: 11/13/2022] Open
Abstract
Trauma/hemorrhagic shock followed by resuscitation (T/HS-R) results in multi-system inflammation and organ dysfunction, in part driven by binding of damage-associated molecular pattern molecules to Toll-like Receptor 4 (TLR4). We carried out experimental T/HS-R (pseudo-fracture plus 2 h of shock followed by 0-22 h of resuscitation) in C57BL/6 (wild type [WT]) and TLR4-null (TLR4-/-) mice, and then defined the dynamics of 20 protein-level inflammatory mediators in the heart, gut, lung, liver, spleen, kidney, and systemic circulation. Cross-correlation and Principal Component Analysis (PCA) on data from the 7 tissues sampled suggested that TLR4-/- samples express multiple inflammatory mediators in a small subset of tissue compartments as compared to the WT samples, in which many inflammatory mediators were localized non-specifically to nearly all compartments. We and others have previously defined a central role for type 17 immune cells in human trauma. Accordingly, correlations between IL-17A and GM-CSF (indicative of pathogenic Th17 cells); between IL-17A and IL-10 (indicative of non-pathogenic Th17 cells); and IL-17A and TNF (indicative of memory/effector T cells) were assessed across all tissues studied. In both WT and TLR4-/- mice, positive correlations were observed between IL-17A and GM-CSF, IL-10, and TNF in the kidney and gut. In contrast, the variable and dynamic presence of both pathogenic and non-pathogenic Th17 cells was inferred in the systemic circulation of TLR4-/- mice over time, suggesting a role for TLR4 in efflux of these cells into peripheral tissues. Hypergraph analysis - used to define dynamic, cross compartment networks - in concert with PCA-suggested that IL-17A was present persistently in all tissues at all sampled time points except for its absence in the plasma at 0.5h in the WT group, supporting the hypothesis that T/HS-R induces efflux of Th17 cells from the circulation and into specific tissues. These analyses suggest a complex, context-specific role for TLR4 and type 17 immunity following T/HS-R.
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Affiliation(s)
- Ashti M Shah
- Department of Surgery, University of Pittsburgh, Pittsburgh, PA, United States
| | - Ruben Zamora
- Department of Surgery, University of Pittsburgh, Pittsburgh, PA, United States.,Center for Inflammation and Regeneration Modeling, McGowan Institute for Regenerative Medicine, Pittsburgh, PA, United States
| | - Sebastian Korff
- Department of Surgery, University of Pittsburgh, Pittsburgh, PA, United States
| | - Derek Barclay
- Department of Surgery, University of Pittsburgh, Pittsburgh, PA, United States
| | - Jinling Yin
- Department of Surgery, University of Pittsburgh, Pittsburgh, PA, United States
| | - Fayten El-Dehaibi
- Department of Surgery, University of Pittsburgh, Pittsburgh, PA, United States
| | - Timothy R Billiar
- Department of Surgery, University of Pittsburgh, Pittsburgh, PA, United States
| | - Yoram Vodovotz
- Department of Surgery, University of Pittsburgh, Pittsburgh, PA, United States.,Center for Inflammation and Regeneration Modeling, McGowan Institute for Regenerative Medicine, Pittsburgh, PA, United States.,Center for Systems Immunology, University of Pittsburgh, Pittsburgh, PA, United States
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5
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Bonaroti J, Abdelhamid S, Kar U, Sperry J, Zamora R, Namas RA, McKinley T, Vodovotz Y, Billiar T. The Use of Multiplexing to Identify Cytokine and Chemokine Networks in the Immune-Inflammatory Response to Trauma. Antioxid Redox Signal 2021; 35:1393-1406. [PMID: 33860683 PMCID: PMC8905234 DOI: 10.1089/ars.2021.0054] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Significance: The immunoinflammatory responses that follow trauma contribute to clinical trajectory and patient outcomes. While remarkable advances have been made in trauma services and injury management, clarity on how the immune system in humans responds to trauma is lagging. Recent Advances: Multiplexing platforms have transformed our ability to analyze comprehensive immune mediator responses in human trauma. In parallel, with the establishment of large data sets, computational methods have been adapted to yield new insights based on mediator patterns. These efforts have added an important data layer to the emerging multiomic characterization of the human response to injury. Critical Issues: Outcome after trauma is greatly affected by the host immunoinflammatory response. Excessive or sustained responses can contribute to organ damage. Hence, understanding the pathophysiology behind traumatic injury is of vital importance. Future Directions: This review summarizes our work in the study of circulating immune mediators in trauma patients. Our foundational studies into dynamic patterns of inflammatory mediators represent an important contribution to the concepts and computational challenges that these large data sets present. We hope to see further integration and understanding of multiomics strategies in the field of trauma that can aid in patient endotyping and in potentially identifiying certain therapeutic targets in the future. Antioxid. Redox Signal. 35, 1393-1406.
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Affiliation(s)
- Jillian Bonaroti
- Department of Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.,Pittsburgh Trauma Research Center, Division of Trauma and Acute Care Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Sultan Abdelhamid
- Department of Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.,Pittsburgh Trauma Research Center, Division of Trauma and Acute Care Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Upendra Kar
- Department of Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.,Pittsburgh Trauma Research Center, Division of Trauma and Acute Care Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Jason Sperry
- Department of Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.,Pittsburgh Trauma Research Center, Division of Trauma and Acute Care Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Ruben Zamora
- Department of Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.,Center for Inflammation and Regeneration Modeling, McGowan Institute for Regenerative Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Rami Ahmd Namas
- Department of Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.,Center for Inflammation and Regeneration Modeling, McGowan Institute for Regenerative Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Todd McKinley
- Department of Orthopedic Surgery, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Yoram Vodovotz
- Department of Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.,Pittsburgh Trauma Research Center, Division of Trauma and Acute Care Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Timothy Billiar
- Department of Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.,Pittsburgh Trauma Research Center, Division of Trauma and Acute Care Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
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6
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Xu H, Xie J, Wang D, Huang Q, Huang Z, Zhou Z. Plasma levels of D-dimer and fibrin degradation product are unreliable for diagnosing periprosthetic joint infection in patients undergoing re-revision arthroplasty. J Orthop Surg Res 2021; 16:628. [PMID: 34666806 PMCID: PMC8524877 DOI: 10.1186/s13018-021-02764-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Accepted: 09/30/2021] [Indexed: 02/08/2023] Open
Abstract
Background The preoperative diagnosis of periprosthetic joint infection (PJI) in patients undergoing re-revision arthroplasty is crucial, so we evaluated whether plasma levels of D-dimer and fibrin degradation product (FDP) could aid such diagnosis. Methods We retrospectively analyzed data on patients who underwent re-revision hip or knee arthroplasty at our institute during 2008–2020. Patients were stratified into those who experienced PJI or not, based on 2013 International Consensus Meeting Criteria. Plasma levels of D-dimer and FDP as well as levels of the traditional inflammatory biomarkers C-reactive protein (CRP), erythrocyte sedimentation rate (ESR) and interleukin-6 were compared between the groups. The ability of these biomarkers to diagnose PJI was assessed based on the area under the receiver operating characteristic (AUC) curve, for which predictive cut-offs were optimized based on the Youden index. Results Based on a cut-off of 0.80 mg/L, D-dimer gave an AUC of 0.595, high sensitivity of 85.7% but poor specificity of 47.8%. Based on a cut-off of 2.80 mg/L, FDP gave an AUC of 0.550, poor sensitivity of 56.5% and poor specificity of 52.9%. CRP, ESR and interleukin-6 showed much better diagnostic ability, with AUCs > 0.82. The combination of CRP and interleukin-6 gave an AUC of 0.877, high sensitivity of 91.7% and acceptable specificity of 78.3%. Conclusions Plasma levels of D-dimer and FDP may be inappropriate for diagnosing PJI in patients undergoing re-revision arthroplasty, whereas the combination of serum CRP and interleukin-6 may be effective.
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Affiliation(s)
- Hong Xu
- Department of Orthopaedic Surgery, West China Hospital, Sichuan University, No.37, Guoxue Road, Wuhou District, Chengdu, 610041, Sichuan, China
| | - Jinwei Xie
- Department of Orthopaedic Surgery, West China Hospital, Sichuan University, No.37, Guoxue Road, Wuhou District, Chengdu, 610041, Sichuan, China
| | - Duan Wang
- Department of Orthopaedic Surgery, West China Hospital, Sichuan University, No.37, Guoxue Road, Wuhou District, Chengdu, 610041, Sichuan, China
| | - Qiang Huang
- Department of Orthopaedic Surgery, West China Hospital, Sichuan University, No.37, Guoxue Road, Wuhou District, Chengdu, 610041, Sichuan, China
| | - Zeyu Huang
- Department of Orthopaedic Surgery, West China Hospital, Sichuan University, No.37, Guoxue Road, Wuhou District, Chengdu, 610041, Sichuan, China
| | - Zongke Zhou
- Department of Orthopaedic Surgery, West China Hospital, Sichuan University, No.37, Guoxue Road, Wuhou District, Chengdu, 610041, Sichuan, China.
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7
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Pavis GF, Jameson TSO, Dirks ML, Lee BP, Abdelrahman DR, Murton AJ, Porter C, Alamdari N, Mikus CR, Wall BT, Stephens FB. Improved recovery from skeletal muscle damage is largely unexplained by myofibrillar protein synthesis or inflammatory and regenerative gene expression pathways. Am J Physiol Endocrinol Metab 2021; 320:E291-E305. [PMID: 33284089 PMCID: PMC8260377 DOI: 10.1152/ajpendo.00454.2020] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
The contribution of myofibrillar protein synthesis (MyoPS) to recovery from skeletal muscle damage in humans is unknown. Recreationally active men and women consumed a daily protein-polyphenol beverage targeted at increasing amino acid availability and reducing inflammation (PPB; n = 9), both known to affect MyoPS, or an isocaloric placebo (PLA; n = 9) during 168 h of recovery from 300 maximal unilateral eccentric contractions (EE). Muscle function was assessed daily. Muscle biopsies were collected for 24, 27, 36, 72, and 168 h for MyoPS measurements using 2H2O and expression of 224 genes using RT-qPCR and pathway analysis. PPB improved recovery of muscle function, which was impaired for 5 days after EE in PLA (interaction P < 0.05). Acute postprandial MyoPS rates were unaffected by nutritional intervention (24-27 h). EE increased overnight (27-36 h) MyoPS versus the control leg (PLA: 33 ± 19%; PPB: 79 ± 25%; leg P < 0.01), and PPB tended to increase this further (interaction P = 0.06). Daily MyoPS rates were greater with PPB between 72 and 168 h after EE, albeit after function had recovered. Inflammatory and regenerative signaling pathways were dramatically upregulated and clustered after EE but were unaffected by nutritional intervention. These results suggest that accelerated recovery from EE is not explained by elevated MyoPS or suppression of inflammation.NEW & NOTEWORTHY The present study investigated the contribution of myofibrillar protein synthesis (MyoPS) and associated gene signaling to recovery from 300 muscle-damaging, eccentric contractions. Measured with 2H2O, MyoPS rates were elevated during recovery and observed alongside expression of inflammatory and regenerative signaling pathways. A nutritional intervention accelerated recovery; however, MyoPS and gene signaling were unchanged compared with placebo. These data indicate that MyoPS and associated signaling do not explain accelerated recovery from muscle damage.
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Affiliation(s)
- George F Pavis
- Nutritional Physiology Group, Department of Sport and Health Sciences, College of Life and Environmental Sciences, University of Exeter, Exeter, United Kingdom
| | - Tom S O Jameson
- Nutritional Physiology Group, Department of Sport and Health Sciences, College of Life and Environmental Sciences, University of Exeter, Exeter, United Kingdom
| | - Marlou L Dirks
- Nutritional Physiology Group, Department of Sport and Health Sciences, College of Life and Environmental Sciences, University of Exeter, Exeter, United Kingdom
| | - Benjamin P Lee
- Institute of Biomedical and Clinical Sciences, University of Exeter Medical School, University of Exeter, Exeter, United Kingdom
| | - Doaa R Abdelrahman
- Department of Surgery, University of Texas Medical Branch, Galveston, Texas
| | - Andrew J Murton
- Department of Surgery, University of Texas Medical Branch, Galveston, Texas
| | - Craig Porter
- Department of Surgery, University of Texas Medical Branch, Galveston, Texas
| | | | | | - Benjamin T Wall
- Nutritional Physiology Group, Department of Sport and Health Sciences, College of Life and Environmental Sciences, University of Exeter, Exeter, United Kingdom
| | - Francis B Stephens
- Nutritional Physiology Group, Department of Sport and Health Sciences, College of Life and Environmental Sciences, University of Exeter, Exeter, United Kingdom
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8
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Jobanputra AM, Scharf MT, Androulakis IP, Sunderram J. Circadian Disruption in Critical Illness. Front Neurol 2020; 11:820. [PMID: 32849248 PMCID: PMC7431488 DOI: 10.3389/fneur.2020.00820] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2020] [Accepted: 06/30/2020] [Indexed: 12/12/2022] Open
Abstract
Circadian rhythms play a vital role in metabolic, hormonal, and immunologic function and are often disrupted in patients in the ICU. Circadian rhythms modulate the molecular machinery that responds to injury and illness which can impact recovery. Potential factors contributing to the alteration in circadian rhythmicity in intensive care unit (ICU) patients include abnormal lighting, noise, altered feeding schedules, extensive patient care interactions and medications. These alterations in circadian rhythms in ICU patients may affect outcomes and therefore, normalization of circadian rhythmicity in critically ill patients may be an important part of ICU care.
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Affiliation(s)
- Aesha M Jobanputra
- Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, United States
| | - Matthew T Scharf
- Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, United States.,Department of Neurology, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, United States
| | - Ioannis P Androulakis
- Biomedical Engineering Department, Rutgers University, Piscataway, NJ, United States.,Chemical and Biochemical Engineering Department, Rutgers University, Piscataway, NJ, United States.,Department of Surgery, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, United States
| | - Jag Sunderram
- Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, United States
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