There is a clear relationship between quantitative measures of fitness (e.g., VO2 max) and outcomes after surgical procedures. Whether or not fitness is a modifiable risk factor and what underlying biological processes drive these changes are not known. The purpose of this study was to evaluate the moderate exercise training effect on sepsis outcomes (survival) as well as the hepatic biological response. We chose to study the liver because it plays a central role in the regulation of immune defense during systemic infection and receives blood flow directly from the origin of infection (gut) in the cecal ligation and puncture (CLP) model.
Methods
We randomized 50 male (♂) and female (♀) Sprague–Dawley rats (10 weeks, 340 g) to 3 weeks of treadmill exercise training, performed CLP to induce polymicrobial “sepsis,” and monitored survival for five days (Part I). In parallel (Part II), we randomized 60 rats to control/sedentary (G1), exercise (G2), exercise + sham surgery (G3), CLP/sepsis (G4), exercise + CLP [12 h (G5) and 24 h (G6)], euthanized at 12 or 24 h, and explored molecular pathways related to exercise and sepsis survival in hepatic tissue and serum.
Results
Three weeks of exercise training significantly increased rat survival following CLP (polymicrobial sepsis). CLP increased inflammatory markers (e.g., TNF-a, IL-6), which were attenuated by exercise. Sepsis suppressed the SOD and Nrf2 expression, and exercise before sepsis restored SOD and Nrf2 levels near the baseline. CLP led to increased HIF1a expression and oxidative and nitrosative stress, the latter of which were attenuated by exercise. Haptoglobin expression levels were increased in CLP animals, which was significantly amplified in exercise + CLP (24 h) rats.
Conclusions
Moderate exercise training (3 weeks) increased the survival in rats exposed to CLP, which was associated with less inflammation, less oxidative and nitrosative stress, and activation of antioxidant defense pathways.
IgG (heavy and light chain) to horseradish peroxidase (HRP)
iNOS
Inducible nitric oxide synthase
IL-6
Interferon 6
iodo-TMT
Iodoacetyl tandem mass tag
KEAP1
Kelch-like ECH-associated protein-1
LDHA
Lactate dehydrogenase A
mTOR
Mammalian target of rapamycin
mRNA
Messenger RNA
MMTS
Methyl methanethiosulfonate
NQO1
NAD (P) H dehydrogenase [quinone]-1
NOX2
NADPH oxidase-2
NO
Nitric oxide
NOS
Nitrous oxide synthase
NRF2/ Nfe2l2
Nuclear factor erythroid 2-related factor 2
Nf-kb2
Nuclear factor kappa-B-subunit 2
p38MAPK/MAPK14
P38 mitogen-activated protein kinases
PAMP
Pathogen-associated molecular pattern
ONOO-
Peroxynitrite
PDE5A
Phosphodiesterase 5A
PVDF
Polyvinylidene fluoride
PRKG1
Protein Kinase cGMP-dependent-1
RIPA buffer
Radio immunoprecipitation assay buffer
RONS
Reactive oxygen and nitrogen species
ROS
Reactive oxygen species
RAGE
Receptor for advanced glycation end products
p62/SQSTM1
Sequestosome 1; also known as p62
AKT
Serine/threonine-protein kinases
GSNOR
S-nitrosoglutathione reductase
SOD1
Superoxide dismutase-1
SOD2
Superoxide dismutase-2
EC-SOD
Superoxide dismutase-3 (SOD3), or extracellular superoxide dismutase
TMT
Tandem mass tag antibody
TLR4
Toll-like receptor-4
t-SOD
Total-superoxide dismutase
TGX
Tris–Glycine extended gels
TNF-α
Tumor necrosis factor α
Introduction
Quantitative measures of fitness (e.g., maximal VO2, aerobic threshold) predict morbidity and mortality following a variety of major surgical procedures [1‐3]. Other indicators of physical fitness, such as walking distance, functional leg strength, grip strength, inspiratory muscle strength, and gait speed, have also been correlated with improved surgical outcomes [4]. Psoas muscle volume (which is negatively correlated with age [5] and a marker for frailty [6]) predicts mortality and difficulty with ventilator weaning in critically ill surgical patients [7]. The impact of physical fitness is not limited to surgical, oncologic, or critically ill patients, with higher VO2max improving all-cause mortality in adults with no detectable limit [8].
For clinicians interested in maximizing outcomes of critically ill patients, these data raise questions in two broad areas. First, can we “train” humans who are at risk of becoming critically ill? Second, can we recreate (or augment) the benefits of physical fitness pharmacologically? This requires a comprehensive understanding of the biological changes that occur with exercise, including the time course required to generate meaningful physiologic changes.
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Although it is known to impact a myriad of protective systems including extracellular superoxide dismutase (ec-SOD/SOD3), hypoxia-inducible factor 1α (HIF-1α), vascular endothelial growth factor (VEGF), and nitric oxide synthase (NOS) [9‐14], our understanding of the biochemical mechanisms which lead to exercise-induced organ protection is incomplete. The purpose of this study was to use an animal model of surgical stress (rat cecal ligation and puncture [CLP]) to determine whether a compressed, three-week exercise training regimen could improve survival, as well as describe the biological changes that occur following a relatively brief period of exercise training in animals exposed and not exposed to critical illness.
We chose to study the liver for two reasons—first, the liver receives blood flow directly from the gut, which is the origin of infection in the CLP model; second, the liver plays a central role in the regulation of immune defense during systemic infection [15] as well as initiating the production of acute-phase proteins-cytokines, eliminating the bacteria, and inducing metabolic adaptations to inflammation [16‐19].
Materials and methods
Overall
The overall approach to this study was to initially test whether or not exercise training could produce a biological effect (increased survival) in animals exposed to CLP, followed by a subsequent analysis to identify candidate biological pathways that are impacted by exercise training in animals exposed to CLP (Fig. 1). We focused on hepatic tissue because of its established role in responding to intra-abdominal sources of infection [20]. Our focus was on generating a more complete description of the pathways involved, to inform future mechanistic studies. For the biochemical analysis, we utilized six groups—sedentary (G1; controls), exercise-trained with no exposure to surgery (G2), exercise-trained with exposure to sham surgery, harvested at 24 h (G3); untrained, exposed to cecal ligation and puncture, harvested at 24 h (G4), exercise-trained, exposed to CLP, harvested at 12 h (G5); exercise-trained, exposed to CLP, harvested at 24 h (G6).
Fig. 1
Overall experimental plan of Part I, sepsis survival and Part II, biochemical mechanisms and response pathways analysis
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Animals and regulatory approval
All experiments were approved by the Animal Use and Care Committee (IACUC) of the University of Virginia (Protocol No. 4054), Charlottesville, Virginia. Pathogen-free, genetically unmodified, 10-week-old (average weight 340 g) Sprague–Dawley (SD) rats male and female obtained from Envigo (IN, USA). The animals were kept with a regular 12-h light cycle, food, water and a toy for environmental enrichment for a minimum of 48 h to acclimate to the new surroundings. The rats were examined by the vivarium veterinarian after their arrival and observed for an additional 2 days (4 days total) to ensure that they were in good health before the exercise training/experiments.
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Exercise training
Treadmill training is a common exercise protocol applied in most of the studies and shown promising effects in sepsis animal models [21, 22]. A five-lane treadmill from Harvard Apparatus (PN: 76-0895, Holliston, MA) was used to train five rats per training session. We targeted 33.3 cm/s with a 5-degree incline as the target speed for our training. After the adaptation period, training for each group of five rats started at a 5-degree incline at a speed of 15 cm/s for 90 min for the first two days. In the following two days, the pace was increased to 25 cm/s. For the next two days, the regiment changed to 15 min of warm-up at 15 cm/s speed, 15 min of secondary warm-up at 25 cm/s, and then 60 min at 30 cm/s. After this initial training period, the rats were submitted to 3 weeks of treadmill running five days per week, 15 min at 15 cm/s, 15 min at 25 cm/s, and 60 min at 33.3 cm/s.
Inducing experimental sepsis by CLP
The surgical stress model CLP is considered the gold standard for sepsis studies [23], until the publication of the paper by Seok et al. [24]. Although the CLP sepsis model does not recapitulate many important features of human sepsis, this animal model reproduces a number of important features of secondary bacterial peritonitis in humans, and these features can provide important insights into understanding the host response to pathogens and associated signaling mechanisms.
Pre-surgical preparation, anesthesia, surgery (CLP) procedure monitoring, and sample collection were performed as previously described by our laboratory [25]. In brief, SD rats were anesthetized with isoflurane (maintained at 2.0 MAC), temperature was maintained to 37 °C with a rectal probe and a pulse oximeter was used to measure arterial oxygen saturation (SpO2). After confirmation of general anesthesia, each animal underwent sham (midline celiotomy and closure) or CLP surgery.
A sterile drape was applied, and a 2–3-cm midline celiotomy was performed; then, the cecum was carefully separated to prevent blood vessel damage. In the control (sham surgery) group, the cecum was removed from the abdomen and immediately returned to the abdominal cavity, and the incision was closed with a double silk 4-0 suture. In the CLP group, 80% of the cecum (by volume) was ligated and punctured twice with a sterile 16-gauge needle and tied off with size 0 silk sutures. The celiotomy was closed with 4-0 running silk sutures through the muscular layer, followed by skin clips. After the surgical procedure, lidocaine 2% was infiltrated around the incision site, and a subcutaneous injection of 3 ml of normal saline was given to compensate for the loss of appetite after surgery. SpO2 and temperature were monitored (AD Instruments Lab Chart 8.1, Boulder, CO, USA). The animals were allowed to wake up and placed back in their cage.
Post-surgical monitoring and tissue harvest
Animals that were part of the survival experiment (Part I) were monitored in-person at least twice daily as part of our IACUC protocol, with continuous video monitoring in between to determine the date of death. For animals that were part of the biochemical experiment (Part II), monitoring occurred for 12–24 h post-recovery, depending on the experimental group, at which point animals were re-anesthetized with isoflurane, arterial blood was withdrawn, the animals were euthanized (ex-sanguination and cervical dislocation) and the tissues were collected and snap-frozen in liquid nitrogen (biochemical analysis), and Bouin’s solution (histological analysis). For biochemical analysis, liver tissues were removed from − 80 °C storage and finely ground in liquid nitrogen using a mortar and pestle. Ten to fifty milligrams of tissue powder (per sample) were used to measure gene and protein expression, markers of oxidative stress, inflammation, hypoxia, advanced glycation end products (AGEs), receptor for advanced glycation end products (RAGE) as well as for other molecular assays related to exercise and sepsis were measured.
Biochemical analysis
Serum cytokines
As we described previously [25], rat serum Interleukin (IL-6; RAB0311, Sigma, St. Louis, MO) and tumor necrosis factor alpha (TNF-α; ab100785, Abcam, Cambridge, UK) levels were measured using the ELISA method by following the manufacturer's instructions. Concentration levels was expressed in pg/ml serum and in percent change. For all ELISA assays, standards and unknowns were both measured in duplicate.
Cell-free hemoglobin
Rat cell-free hemoglobin (cf-Hb) concentration was determined in serum using commercially available ELISA kit (# EIAHGBC, Invitrogen-Thermo-Fisher Scientific, USA) by following the manufacturer's instructions. The concentration levels were expressed in g/dl and in percentage change.
Blood lactate
As we described previously [25] rat blood lactate concentration levels were measured using i-STAT CG4 + CARTRIDGE (Abbott Laboratories, Abbott Park, Illinois, IL) and expressed as mmol/L and in percent (%) change.
Hepatic biomarkers
Liver total superoxide dismutase (t-SOD) activity was measured using a SOD colorimetric activity assay kit (#EIASODC Invitrogen-Thermo-Fisher Scientific, USA). Liver total antioxidants (AO) levels were measured using the Cayman chemicals antioxidant assay kit (#709001, MI.USA). As we described previously [25], liver nitric oxide (NO) levels were estimated using a colorimetric assay kit that measures total nitrate, and nitrite levels (nitric oxide assay Kit# EMSNO, Invitrogen) and protein carbonyl (PC) content was measured by using a protein carbonyl content assay kit (MAK094, Sigma-Aldrich, St. Louis, MO) in accordance with the manufacturer’s instructions.
Gene target selection and mRNA expression
To understand the exercise effect on sepsis, a set of 16 dysregulated genes were selected based on our rat sepsis-CLP model we previously identified with RNA-sequencing (RNA-seq) analysis [25]. Tissue RNA isolation, cDNA synthesis and real-time RT-PCR (qRT-PCR) analysis were performed as described previously by our lab [25]. In brief, liver total RNA was extracted using an RNA isolation kit (RNeasy plus mini kit, Qiagen) and the concentrations were estimated with NanoDrop (ThermoFisher Scientific). For cDNA synthesis, two micrograms of RNA was reverse-transcribed using the iScript-Adv cDNA Synthesis Kit (BioRad, USA) and 100 ng of cDNA was used for qPCR analysis in a final volume of 20 μl containing, iTaq universal SYBR® Green supermix (BioRad, USA) and target specific qPCR gene expression primers (Primer sequence are listed in Additional file 1: Table S1). Amplification was performed using CFX-Connect Real-time qPCR system (BioRad, USA). mRNA expression changes were calculated using the 2 − ΔΔCT method [26] and expressed as fold-change compared to controls. β-actin was used as a normalization control.
Bioinformatics analysis
A total of 27 selected proteins (protein-coding genes that are dysregulated in sepsis) were used for protein–protein interaction (PPI) network analysis using the online in-built STRING version 11.5 database. To study the Molecular-level functions and activities performed by gene products, the gene ontology (GO) analysis for biological processes, molecular function, cellular components, and pathway analysis (KEGG and Reactome) was also performed with STRING Functional enrichment analysis selection [27], and highly connected genes in the network (hub genes) was identified with CytoHubba [28] using Metascape [29].
Protein quantification (western blotting)
Liver total proteins and nuclear proteins were extracted as we described previously [25]. In brief, 50 mg of flash-frozen liver tissue was ground to a powder with liquid nitrogen and used either for nuclear protein extraction (Abcam ab113474, Cambridge, MA) or for whole cell lysate (RIPA lysis buffer) preparation. Halt™ protease and phosphatase inhibitors were added to the protein extraction buffers. In addition, 100 uM of the prolyl hydroxylase stabilizer Cobalt (II) chloride (CoCl2) was added to the extraction buffer to prevent HIF-1α degradation. Protein concentrations were measured using a Bicinchoninic Acid (BCA) kit (Thermo Scientific). Depending on the expression localization (Nucleus/whole cell) of the protein to be analyzed, 10–30 μg of whole cell lysate or nuclear proteins (50 μg) was heat-denatured at 95 °C and resolved on a 4–20% gradient Tris–Glycine polyacrylamide gels (Bio-Rad). The resolved proteins were blotted on to PVDF membrane (Millipore, Darmstadt, Germany), non-specific protein-binding sites were blocked with SuperBlock phosphate-buffered saline (Thermo-Fisher # 37515) and incubated with target-specific primary antibodies overnight at 4 °C (antibody information and dilution are listed in Additional file 1: Table S2). The next day the membranes were washed with a tris-buffered saline and polysorbate 20/Tween (TBST) buffer and then incubated for 1 h with appropriate secondary antibodies at room temperature. Protein and antibody immunoreactivity was detected using Super Signal West Femto enhanced chemiluminescence substrate (Thermo Scientific). Protein signals (band intensity) from immunoblots were captured using GBOX (Chemi XR5; Syngene) and were analyzed densitometrically using the computerized image analysis software (Gene Tools from Syngene). Expressed protein densities were normalized to loading controls (β-tubulin), and expression levels were presented in percentage compared to the control.
S-Nitrosylation
Immunostaining of S-nitrosylated proteins was performed as described by our laboratory previously [25] by using the Pierce™ S-Nitrosylation Western Blot Kit (#90105, Thermo Scientific). In brief, by following the manufacture supplied protocol, liver tissue samples were lysed in HEPES, EDTA, Neocuproine, and SDS (HENS) buffer, the supernatant was collected, and the protein concentrations were determined using a BCA kit (Thermo Scientific). 1 M methyl methanethiosulfonate (MMTS) was added to extracted protein samples to block the free-sulfhydryls and labeled with sodium ascorbate + iodo-TMT labeling reagent. The iodo-TMT labeled liver proteins (S-nitrosylated) were subjected to 4–20% TGX gels (20 μg protein per lane) and resolved using electrophoresis. After the proteins were blotted on the PVDF membrane, anti-TMT antibody (1:2000 dilution, Thermo-Fisher # 90075) and anti-mouse IgG-HRP conjugated (1:10,000) secondary antibody was used to detect the liver S-nitrosylated proteins by following standard western blot protocol.
Tissue collection, processing, and immunohistochemistry
At the end of the experimental time point(s), rats were euthanized as per the guidelines of the University of Virginia Institutional Animal Care and Use Committee. Liver tissue was harvested and fixed overnight in Bouin's fixative (Sigma), and in 70% histology-grade alcohol for 24 h. For fixed tissue’s paraffin embedding, hematoxylin and eosin staining (H&E) were prepared by Research Histology Core services at University of Virginia (UVA). Nitrotyrosine protein adducts were assessed by immunohistochemistry. For nitrotyrosine reactivity, rehydrated liver tissue sections were incubated with an anti-nitro-tyrosine polyclonal antibody overnight (1:100 dilution; Chemicon/Millipore # AB5411), followed by a secondary antibody incubation with peroxidase-conjugated anti-Rabbit IgG. The immunostained tissue section slides were scanned using an Aperio slide scanner at 20× magnification (UVA- Biomolecular Analysis Facility). The density of the nitrotyrosine positive cells (protein adducts) in liver tissue was quantified [30] in a blind manner and using free NIH (National Institutes of Health) Image Processing and Analysis software ImageJ/Fiji [31].
Statistical analysis
Statistical power
There are no published survival data on exercise training (short-time 3 weeks) in rats exposed to cecal ligation and puncture. A trial of mice exposed to treadmill training demonstrated a fourfold increase in survival at 36 h as compared to sedentary mice [32]. Another trial of transgenic mice that overexpress ec-SOD revealed a fivefold survival increase at 48 h after lipopolysaccharide (LPS) injection [33]. We estimated a threefold increase in survival associated with exercise. Assuming a type I statistical error rate of 5%, 80% power, and evenly matched groups, we would need approximately 24 rats (♂ and ♀) per group to detect a difference in survival [34]. Unless otherwise noted, for biochemical analyses, we chose a convenience sample of 10 rats per group (n = 5♂, n = 5♀). In western blots for running all the groups samples in the same gel we used G1, n = 3 and G2-G6; n = 5. For nitrotyrosine protein adduct density quantification and mRNA, n = 3 for G1-G6. Also, sample sizes for individual experiments (western blot, ELISA, PCR) were based on our laboratory’s previous experimental data published on this sepsis model [20].
Data analysis plan
Survival data were analyzed using a Kaplan–Meier curve (log-rank test). Group comparisons of biochemical data (protein, mRNA expression, etc.) were made using one-way analysis of variance (ANOVA). Corrections for multiple comparisons were not made, given the exploratory nature of this study. Data are presented as means ± SD with the exception of compiled expression levels data graphs (Figs. 5H, 6G, 7G, 8G, 9G, 10G, 11F, 13D), which are presented as mean ± SEM, and p < 0.05 was considered statistically significant. The data distribution was evaluated with GraphPad Prism 9.2.0 (GraphPad, CA) software. All microplate-based assays and qPCR assay sample was run in duplicate or triplicate. All the graph data symbols *, + , #, and ‡ denotes significant, “ns” represents not statistically significant in the graph, and in western blot images “ns” represents non-specific signal.
The flow diagram (Parts I and II) of the animal experimental groups’ timing of the exercise training, sham surgery, or sepsis induction with cecal ligation and puncture (CLP), as well as survival study, tissue collection and analysis, is shown in Fig. 1.
Results
Survival study (part I)
Treadmill-trained rats survived CLP longer than sedentary rats (♂ and ♀ Rats; P = 0.0132, log-rank test, Fig. 2A). When analyzed independently, this effect was/was not observed in both male and female rats (Fig. 2B,C).
Fig. 2
Survival curves for rats exposed to CLP with and without exercise preconditioning. A Survival curves for all animals ♂ and ♀ rats; P = 0.0132; n = 48, B Survival curves for ♂ rats only; P = 0.3206; n = 24 and C Survival curves for ♀ rats only; P = 0.0288; n = 24
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Biochemical analysis (part II)
Messenger RNA
The mRNA expression (qRT-PCR) levels for several targets were significantly changed between CLP (G4) and exercise-trained exposed to CLP animals (G4 vs. G6). Exposure to CLP leads to a significant increase in mRNA expression of SOD2 (Superoxide dismutase-2/mitochondrial SOD; ♂: fivefold and ♀: 9.2 fold) and, NOS2 (nitrous oxide synthase-2; ♂: 5.4 fold, and ♀: 7.2 fold) in male and female rats, respectively. Exposure to CLP leads to significant decreases in mRNA expression of SOD1 (superoxide dismutase-1, soluble/intracytosolic SOD; ♂: 0.2 fold and ♀: 0.2 fold), SOD3 (superoxide dismutase-3/extracellular SOD; ♂: 0.2 fold and ♀: 0.24 fold), and CAT (Catalase; ♂: 0.09 fold and ♀: 0.08 fold) in male and female rats. In isolation (G1 vs. G2), exercise led to an increase in SOD3 (♀: 1.52 fold and ♀: 1.46 fold) and NRF2 (Nuclear factor erythroid 2-related factor 2; ♂: 1.27 fold and ♀: 1.21 fold) and a decrease in TLR4 (Toll-like receptor-4; ♂: 0.49 fold and ♀:0.26 fold) and NFKB2 (Nuclear Factor Kappa-B-Subunit 2; ♂: 0.68 fold and ♀: 0.39 fold) in male and female rats, respectively (Fig. 3). qPCR-ΔΔCt fold changes from each comparison P < 0.05 were considered statistically significant, and the control group fold change (FC) level (FC = 1).
Fig. 3
mRNA expression in males (top) and females (bottom) stratified by group. G1 = sedentary, G2 = exercise-trained, G3 = exercise trained + sham surgery, G4 = CLP (untrained, tissue harvest at 24 h), G5 = CLP (trained, tissue harvest at 12 h), G6 = CLP (trained, tissue harvest at 24 h) The red dashed line represents the control group fold change level (FC = 1)
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The PPI network analysis of differentially expressed protein-coding genes associated with CLP and exercise-training is shown in Additional file 1: Fig S1, and the overview of the PPI network status, KEGG, and reactome pathways associated with sepsis along with gene ontology (GO) analysis is shown in Additional file 2: File S3. HIF-1α, AGEs, AKT Serine/Threonine Kinase 1 (AKT), VEGF, Guanosine 3′,5′-cyclic monophosphate-Protein Kinase CGMP-Dependent 1 (cGMP-PKG/PRKG1), TLR, Nf-KB, mitogen-activated protein kinase (MAPK), mechanistic target of rapamycin kinase (mTOR), and TNF signaling pathways were associated with sepsis development among the significantly enriched KEGG pathways. In gene ontology analysis response to hypoxia, oxygen-containing compounds, abiotic stimulus, ROS, and oxidative stress are the top enrichment biological process. The MetaScope-CytoHubba analysis revealed that 11 out of the 27 significantly altered protein-coding network genes, the most important highly connected hub genes are NOS3, NOS2, VEGFa, AKT, PRKG1, HO-Heme Oxygenase-1(Homx1/HO-1), CAT, NRF2(Nfe2l2), HIF-1a, SOD1, SOD2, and SOD3 are actively involved in sepsis development and regulation pathways (Additional file 3: File S4).
Protein expression
Exposure to CLP (G4 vs. G1) led to a significant increase in protein expression of SOD2, (♂: 50%, P = 0.0001 and ♀: 87%, P = 0.0002), and significant decreases in protein expression of SOD1 (♀: 30%, P = 0.004) in females, and SOD3 (♂: 20%, P = 0.018 and ♀: 21%, P = 0.022), and CAT (♂: 28%, P = 0.028 and ♀: 28%, P = 0.0001) in male and female rats, respectively. In isolation (G1 vs. G2), exercise led to an increase in SOD1 (♂: 44%, P = 0.023 and ♀: 37%, P = 0.098) and SOD3 (♂: 38%, P = 0.023 and ♀: 35%, P = 0.032) in male and female rats, respectively (Fig. 4), with no impact on SOD2 or CAT. Exercise training appeared to normalize antioxidant protein expression in the setting of sepsis (G1 vs. G4 vs. G6) of SOD1, SOD3, and CAT.
Fig. 4
A–F, protein expression of antioxidant agents in males (L) and females (R) stratified by group. G, Western Blots H, Compiled quantification data (A–F). G1 = sedentary, G2 = exercise-trained, G3 = exercise trained + sham surgery, G4 = CLP (untrained, tissue harvest at 24 h), G5 = CLP (trained, tissue harvest at 12 h), G6 = CLP (trained, tissue harvest at 24 h)
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Exposure to CLP (G4 vs. G1) leads to a significant increase in the expression levels of TNF-α (♂: 30 pg/ml, P = 0.0001 and ♀: 26 pg/ml, P = 0.0001), IL-6 (♂: 342 pg/ml, P = 0.0001 and ♀: 223 pg/ml, P = 0.0001), TLR4 (♂: 121%, P = 0.0002 and ♀: 124%, P = 0.0002), NFKB2 (♂: 181%, P = 0.0001 and ♀: 171%, P = 0.0001), and lactate (♂:1.53 mmol/L, P = 0.0001 and ♀: 2.59 mmol/L, P = 0.0001), in males and females, respectively. In isolation (G1 vs. G2), exercise had no substantive impact on any markers of inflammation. Analysis of exercise training in the setting of CLP (G4 vs. G6) suggests that exercise attenuates the increase in inflammatory markers, including TNF-α (♂: 23 pg/ml, P = 0.0001 and ♀: 16 pg/ml, P = 0.0001), IL-6 (♂: 305 pg/ml, P = 0.0001 and ♀: 279 pg/ml, P = 0.0001), TLR4 (♂: 80%, P = 0.0006 and ♀: 139.5%, P = 0.0001), NFKB2 (♂: 85%, P = 0.008 and ♀: 96%, P = 0.001), in males and females, respectively. Exercise training had no impact on the increase in lactate associated with CLP (Fig. 5).
Fig. 5
A–D protein expression of anti-inflammatory markers and E lactate level in males (L) and females (R) stratified by group. F, Western Blots G, Compiled quantification data (A–E). G1 = sedentary, G2 = exercise-trained, G3 = exercise trained + sham surgery, G4 = CLP (untrained, tissue harvest at 24 h), G5 = CLP (trained, tissue harvest at 12 h), G6 = CLP (trained, tissue harvest at 24 h)
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Exposure to CLP (G4 vs. G1) lead to a significant increase in protein expression of HIF1-α (♂: 564%, P = 0.0001 and ♀: 238%, P = 0.0004), VEGF-α (♂: 93%, P = 0.0001 and ♀: 96%, P = 0.0001), and NOX2 (♂: 46%, P = 0.007 and ♀: 69%, P = 0.0001), in males and females, respectively. CLP led to a significant decrease in protein expression of blc-2 (B-cell lymphoma-2; ♂: 42%, P = 0.001 and ♀: 24%, P = 0.04) in males and females, respectively, and a slight increase in LDHA (lactate dehydrogenase A) for females exposed to CLP (♀: 34%, P = 0.009) but not in males. In isolation (G1 vs. G2), exercise led to a decrease in NOX2 protein expression in both males and females (♂: 37%, P = 0.04 and ♀: 41%, P = 0.002) but otherwise had no impact on proteins involved in the metabolic response to stress. Analysis of exercise training in the setting of CLP (G4 vs. G6) suggests that exercise attenuates the increase in HIF-1α (♂: 537%, P = 0.0001 and ♀: 255%, P = 0.0001), and NOX2 (♂: 66%, P = 0.0001 and ♀: 102%, P = 0.0001) in males and females, respectively. Exercise had no impact on bcl-2 expression in the setting of CLP but did slightly attenuate LDHA expression in females (♀: 29%, P = 0.008), but not in males (Fig. 6).
Fig. 6
A–E, protein expression of proteins involved in the metabolic response to stress in males (L) and females (R) stratified by group. F, Western Blots G, Compiled quantification data (A–E). G1 = sedentary, G2 = exercise-trained, G3 = exercise trained + sham surgery, G4 = CLP (untrained, tissue harvest at 24 h), G5 = CLP (trained, tissue harvest at 12 h), G6 = CLP (trained, tissue harvest at 24 h)
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Exposure to CLP (G4 vs. G1) leads to a significant increase in protein expression of mTOR (♂: 254%, P = 0.0001 and ♀: 128%, P = 0.0001), and PRKG1 (♂: 21%, P = 0.03 and ♀: 57%, P = 0.006), and a significant decrease in AKT (♂: 25%, P = 0.01 and ♀: 28%, P = 0.007), AMPK (AMP-activated protein kinase; ♂: 21%, P = 0.004 and ♀: 54%, P = 0.0001), and PDE5a (Phosphodiesterase 5A; ♂: 19%, P = 0.003 and ♀: 26%, P = 0.023) in males and females, respectively. In isolation (G1 vs. G2), exercise led to an increase in mTOR (♂: 71%, P = 0.004) and AMPK (♂: 20%, P = 0.008) protein expression in males but not in females. Analysis of exercise training in the setting of CLP (G4 vs. G6) suggests that exercise attenuates the increase in mTOR (♂: 197%, P = 0.0001 and ♀: 124%, P = 0.0001), and PRKG1 (♂: 43%, P = 0.001 and ♀: 70%, P = 0.0001), as well as the decrease (G4 vs. G1) in AKT (♂: 25%, P = 0.01 and ♀: 28%, P = 0.007), observed in males and females, respectively (Fig. 7).
Fig. 7
Sepsis increases the Hif1a-signaling target proteins (mTOR, AKT, AMPK, PRKG1, and PDE5a) expression levels in liver tissue, pre-exercise training attenuates this response. A–E, HIF-1α target proteins in males (L) and females (R) stratified by group. F, Western Blots G, compiled quantification data (A–E). G1 = sedentary, G2 = exercise-trained, G3 = exercise trained + sham surgery, G4 = CLP (untrained, tissue harvest at 24 h), G5 = CLP (trained, tissue harvest at 12 h), G6 = CLP (trained, tissue harvest at 24 h)
×
Exposure to CLP (G4 vs. G1) leads to a significant increase in protein expression of Keap1 (Kelch-like ECH-associated protein-1; ♂: 113%, P = 0.0001 and ♀: 139%, P = 0.0001) and HO-1 (♂:326%, P = 0.0001 and ♀: 712%, P = 0.0001), and decreases in Nrf2 (♂:37%, P = 0.01 and ♀: 21%, P = 0.03), NQO1 (NAD (P) H dehydrogenase [quinone]-1; ♂: 36%, P = 0.0004 and ♀: 27%, P = 0.01) and p62 (♂: 18%, P = 0.03 and ♀: 38%, P = 0.003) in males and females, respectively. In isolation (G1 vs. G2), exercise increased the Nrf2 (♂: 18%, P = 0.03 and ♀: 38%, P = 0.003) and p62 (Sequestosome 1/SQSTM1; ♂: 51%, P = 0.0003 and ♀: 20%, P = 0.004) expression levels in both males and females. Exercise training in the setting of CLP (G4 vs. G6) attenuates the decreased Nrf2 (♂: 56%, P = 0.0001 and ♀: 34%, P = 0.001), NQO1 (♂: 32%, P = 0.0002 and ♀: 21%, P = 0.02) expression in males and females, and p62 protein expression in females (♀: 31%, P = 0.03), but not males. In addition, exercise training attenuates the increased keap1 expression in CLP (G4 vs.G6) animals (♂: 100%, P = 0.0001 and ♀: 108%, P = 0.0001) (Fig. 8).
Fig. 8
A–E, protein expression of NRF-2 signaling proteins in males (L) and females (R) stratified by group. F, Western Blots G, Compiled quantification data (A–E). G1 = sedentary, G2 = exercise-trained, G3 = exercise trained + sham surgery, G4 = CLP (untrained, tissue harvest at 24 h), G5 = CLP (trained, tissue harvest at 12 h), G6 = CLP (trained, tissue harvest at 24 h)
×
Exposure to CLP (G4 vs. G1) leads to a significant increase in protein expression of AGEs (♂: 165%, P = 0.0001 and ♀: 124%, P = 0.0007), RAGE (♂: 254%, P = 0.0001 and ♀: 99%, P = 0.005), p38MAPK (p38 mitogen-activated protein kinases; ♂: 20%, P = 0.02 and ♀: 58%, P = 0.0001), eNOS (endothelial nitric oxide synthase; ♂: 52%, P = 0.02 and ♀: 55%, P = 0.0002) and iNOS (inducible nitric oxide synthase; ♂: 130%, P = 0.0001 and ♀: 158%, P = 0.0001) in males and females, respectively. AGEs, RAGE, and iNOS protein expression slightly increased in sham (G3) animals but significantly less compared to CLP animals. Exercise training in the setting of CLP (G4 vs. G6) attenuated the increased AGEs (♂: 116%, P = 0.0002 and ♀: 127%, P = 0.0001), RAGE (♂: 102%, P = 0.002 and ♀: 72%, P = 0.02) p38MAPK (♂: 18%, P = 0.04 and ♀: 44%, P = 0.0001), eNOS (♂: 54%, P = 0.004 and ♀: 57%, P = 0.0001) and iNOS (♂: 120%, P = 0.0001 and ♀: 137%, P = 0.0001) expression in males and females, suggests that in CLP animals exercise preconditioning reduces the AGEs/RAGE accumulation and Nitric oxide synthases expression levels significantly (Fig. 9).
Fig. 9
A–E, protein expression of proteins involved in the metabolic response to stress in males (L) and females (R) stratified by group. F, Western Blots G, Compiled quantification data (A–E). G1 = sedentary, G2 = exercise-trained, G3 = exercise trained + sham surgery, G4 = CLP (untrained, tissue harvest at 24 h), G5 = CLP (trained, tissue harvest at 12 h), G6 = CLP (trained, tissue harvest at 24 h)
×
Exposure to CLP (G4 vs. G1) lead to a significant increase in protein expression of haptoglobin (HP; ♂: 229%, P = 0.0007 and ♀: 338%, P = 0.0001), markers of oxidative and nitrosative stress including protein carbonyls (♂: 37 [nmol/mg protein], P = 0.0001 and ♀: 2.6[nmol/mg protein], P = 0.0007), and nitric oxide levels (♂: 2.6[μmol], P = 0.001 and ♀: 3.1[μmol], P = 0.003), and serum-free hemoglobin (♂: 1.3[g/dl, serum], P = 0.0001 and ♀: 1.9[g/dl, serum], P = 0.0001), in males and females, respectively. In isolation (G1 vs. G2), exercise led to an increase in protein carbonyls (♂: 61[nmol/mg protein], P = 0.0001 and ♀: 3.1[nmol/mg protein], P = 0.0001) in males and females, respectively, and a small decrease in nitric oxide levels in males (♂: 2.1[μmol], P = 0.03) but otherwise had no impact on proteins involved in oxidative stress, including cell-free hemoglobin levels in serum. Analysis of exercise training in the setting of CLP (G4 vs. G6) suggests that exercise training strongly attenuates oxidative and nitrosative stress, including protein carbonyls (♂: 31 [nmol/mg protein], P = 0.0001 and ♀: 4.1[nmol/mg protein], P = 0.0001) and nitric oxide levels (♂: 4[μmol], P = 0.001 and ♀: 2.6[μmol], P = 0.01), as well as serum free hemoglobin (♂: 1.3[g/dl, serum], P = 0.0001 and ♀: 1.7[g/dl, serum], P = 0.0001), in males and females, respectively. Additionally, exercise seems to amplify the haptoglobin response to sepsis (♂:190%, P = 0.001 and ♀:297%, P = 0.0001) in males and female animals (Fig. 10).
Fig. 10
Sepsis increase the stress marker HP, cf-HB, PC, and NO levels in serum and liver tissue, Pre-exercise training controlled these stress marker levels both in male and female sepsis animals at post-operative hours 12 and 24. A Haptoglobin (HP) protein expression levels in the Liver, B Cell-free Hemoglobin (cf-HB) levels in serum, C Protein carbonyl (PC) content and D Nitric Oxide (NO) levels in Liver homogenate, E Western blotting images showing the protein densities of HP, and loading control β-tubulin in the Liver tissue G The graph showing the compiled data (A–D). G1 = sedentary, G2 = exercise-trained, G3 = exercise trained + sham surgery, G4 = CLP (untrained, tissue harvest at 24 h), G5 = CLP (trained, tissue harvest at 12 h), G6 = CLP (trained, tissue harvest at 24 h)
×
Exposure to CLP (G4 vs. G1) leads to a significant increase in nitrotyrosine (NT) protein adducts (a marker for peroxynitrite formation; (♂: 0.045[density/μm−2], P = 0.0001 and ♀: 0.039[density/μm−2], P = 0.0001), in males and females. Analysis of exercise training in the setting of CLP (G4 vs. G6) suggests that exercise training significantly attenuates the increase in peroxynitrite adducts formation in the tissue (♂: 0.028[density/μm−2], P = 0.0002 and ♀: 0.027[density/μm−2], P = 0.0001) in males and females (Fig. 11).
Fig. 11
Sepsis increases the accumulation of nitrotyrosine (NT) protein adducts (peroxynitrite formation) in the Liver, Pre-exercise training attenuates these adducts levels. Enlarged part of the liver showing both central vein (CV) and portal vein (PV) tissue morphology. Male (A) and Female (B) rat liver sections show Hematoxylin–eosin (H&E) staining and nitrotyrosine (NT) protein adducts Immunostaining (brown stain cells marked with black arrowhead). H&E staining of the liver tissue sections showed extensive liver damage and inflammatory cell infiltration. Graph (C; ♂, n = 3) and (D; ♀,n = 3) represents the NT protein adducts (positive cells) density (μm−2) in the Liver tissue sections. G1 = sedentary, G2 = exercise-trained, G3 = exercise trained + sham surgery, G4 = CLP (untrained, tissue harvest at 24 h), G5 = CLP (trained, tissue harvest at 12 h), G6 = CLP (trained, tissue harvest at 24 h). Images scale bar = 90 μm
×
Exposure to CLP (G4 vs. G1) leads to a significant increase in S-nitrosylation (♂: 110%, P = 0.007 and ♀: 81%, P = 0.0001) and a significant decrease in GSNOR (S-nitrosoglutathione reductase; ♂: 27%, P = 0.002and ♀: 21%, P = 0.01), in males and females, respectively. In isolation (G1 vs. G2), exercise had no impact on either S-nitrosylation or GSNOR. Analysis of exercise training in the setting of CLP (G4 vs. G6) suggests that exercise training restores GSNOR levels and attenuates the S-nitrosylation attributed to CLP (Fig. 12).
Fig. 12
A quantified S-nitrosylation in ♂ and ♀ stratified by group. B representative gels depicting total S-nitrosylated protein (upper) and loading control total protein in ponceau S (lower). C quantified GSNOR protein levels, and representative western blot images D S-nitrosylation and GSNOR (indirectly regulates NO signaling associated with protein S-nitrosylation) levels displayed simultaneously. G1 = sedentary, G2 = exercise-trained, G3 = exercise trained + sham surgery, G4 = CLP (untrained, tissue harvest at 24 h), G5 = CLP (trained, tissue harvest at 12 h), G6 = CLP (trained, tissue harvest at 24 h)
×
Discussion
Our work demonstrates that a moderate (three-week) period of gradual exercise training significantly improved survival of rats exposed to surgical stress. When stratified by sex, the impact in females remained statistically significant, while males exhibited a trend toward longer survival. This may be due to sex-specific differences yet to be discovered. However, many of the biological pathways that might confer a survival benefit (e.g., anti-oxidant defenses) were upregulated in both sexes.
While human data suggest that 36 weeks of training are required to optimize fitness levels [35], these timeframes are unrealistic in patients undergoing surgical procedures. The median time to first treatment in cancer patients is disease-dependent, with times as short as 14 days for colon surgery and as long as 40 days for liver surgery [36]. Wait times for elective cardiac surgery are less than two weeks in the USA, although considerably longer in other countries [37]. While other investigators have demonstrated a clear impact of exercise training on survival in animal models of surgical stress [32], the training duration was far outside the week-long window that would be needed to be impactful in the majority of major surgical procedures in the USA. It is also worth noting that a recent trial of exercise after critical illness (TEAM trial) was negative [38], suggesting that if exercise is in fact beneficial in humans, it must be initiated prior to critical illness. This trial may also have been limited by the amount of exercise that can safely be performed in an intubated, mechanically ventilated patient.
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The focus of our analysis was on developing a more comprehensive description of the biological pathways affected by exercise, including some which may have been traditionally overlooked, rather than performance of inhibitor studies to confirm mechanisms. We felt that a more complete landscape was appropriate prior to initiation of this important mechanistic work. Additionally, it is worth noting that virtually of the pathways we tested were impacted by exercise, suggesting that exercise may impact a more upstream master regulator that we did not test.
Our results are consistent with work by other authors demonstrating that exercise increases ec-SOD (SOD3) production [9, 39]. The “antioxidant hypothesis” [40] posits that ec-SOD can travel systemically, protecting remote organ systems from oxidative stress, e.g., the myocardium [9, 41], which manifests as increased survival during exposure to LPS [33]. An increase in ec-SOD content was associated with decreased 3-nitrotyrosine Levels [42]. It is notable that oxidative and nitrogenous stress were markedly lower in the trained animals exposed to CLP, while SOD activity was higher. We also observed increased SOD1 (intra-cytosolic) expression following exercise training, which suggests that the antioxidant defenses are not exclusively due to ec-SOD.
Muscular exercise results in increased free radical concentration in both muscle and liver tissue [43]. Muscle-liver crosstalk has been described in sarcopenia and non-alcoholic fatty liver disease [44], but has not been explored in exercise or sepsis specifically. In genetically engineered mice, increased ec-SOD expression (produced in skeletal muscle) lead to increased levels of ec-SOD in the blood, peripheral and adipose tissue, and organs, such as the liver, heart, kidneys, and lungs [45].
Sepsis is known to increase plasma-free hemoglobin [46], a source of oxidative stress that can potentially be mitigated by haptoglobin. The impact of exercise on haptoglobin in healthy humans is complex—adults who report consistent exercise have abnormally low serum haptoglobin levels [47], but an acute bout of extreme exercise raises haptoglobin levels along with other acute phase reactants [48]. Furthermore, retrospective data in humans suggest that increased plasma-free hemoglobin is associated with worse mortality in sepsis, and that septic survivors have higher haptoglobin levels than those who die [49]. Administration of exogenous haptoglobin improves survival in a canine model of sepsis [50], and there is some retrospective data suggesting that exogenous haptoglobin administration reduces acute kidney injury (AKI) in humans undergoing cardiac surgery [51]. Haptoglobin is increasingly understood as an anti-inflammatory agent [52]. In our experiments, exercise training was associated with a more vigorous haptoglobin response (post-operative hour 24) in the face of stressors (such as free hemoglobin).
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The effects of free hemoglobin, a potent pro-oxidant species, can also be attenuated through conversion to bilirubin by heme oxygenase, which is upregulated HO-1. The majority, but not all, of mouse knock-out studies suggest that HO-1 deficiency increases mortality in sepsis [53]. Our data suggest that the biological triggers for an HO-1 response may be less severe in trained animals exposed to CLP.
The impact of exercise on hepatic HIF-1α was unsurprising given that chronic exercise does not reliably increase HIF-1α stabilization even in skeletal muscle [54] and except in extreme cases, oxygen gradients from the capillary to intracellular environment, and thus oxygen conductance, are typically unaffected by exercise [55]. There is a growing appreciation that oxidative and nitrosative stress (e.g., NO) are just as important for HIF-1α stabilization as hypoxia [20, 25, 54]. Our results demonstrate that HIF-1α expression in exercise-trained animals exposed to CLP is no different from controls, further supporting the impact of exercise on antioxidant defenses.
Nrf2 is known as a “master regulator” of antioxidant responses, and upregulates SOD-1, catalase, HO-1, as well as glutathione S-transferase (GST) [56]. Exercise training upregulates Nrf2 in animals [57‐59] as well as humans [60]. Interestingly, the addition of sulforaphane, an Nrf-2 inducing agent, improves exercise tolerance in mice and reduced oxidative stress associated with exercise [61]. Oral administration of sulforaphane in human weight lifters reduces muscle injury and inflammation [62] as well as oxidative stress [63] after resistance training. Our data (G4, sepsis) conflicts with human data suggesting that Nrf2 is upregulated in pediatric sepsis [64] although trained animals seemed to preserve Nrf2 expression when exposed to CLP (G6).The Keap1-Nrf2 system is a key cellular defense mechanism that protects cells from metabolic and oxidative stress, and counteracts hepatic oxidative stress [65]. Keap1–Nrf2 systems are linked via the phosphorylation of the ubiquitin binding protein p62/SQSTM1 in the p62–Keap1–Nrf2 pathway [66]. In oxidative muscle p62/SQSTM1- Nrf2 is essential for exercise-mediated enhancement of antioxidant proteins [67]. NQO1 is an antioxidant enzyme activated by Nrf2-Keap1-ARE target gene products [68]. Our data corroborate the importance of the p62/SQSTM1–Keap1–Nrf2 pathway in hepatic oxidative stress related to infection.
AMPK is known as a “central regulator of energy homeostasis,” its activity is increased after exercise, and it plays an essential role in regulating exercise capacity [69]. mTOR, a downstream protein impacted by AMPK, has recently emerged as an O2-sensitive signaling pathway that is independent of the HIF response [70], and is also a known mediator of the response to exercise [71]. In fact, AMPK and mTOR are tightly interlinked pathways that act in opposition [72], the AMPK/mTOR, and AKT/mTOR pathway appears to be impacted by infection [73‐77]. Our results were consistent with the findings of other investigators although we did observe some sex-specific differences related to AMPK.
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RAGE has an key function in the pathogenesis of sepsis [78], activation of RAGE stimulates the NADPH oxidase [79], an enzyme that produces superoxide radicals and induces the cytokines production via NF-kB, followed by upregulation of inflammatory pathways [80]. Increased protein S-nitrosylation contribute to sepsis and other disease pathogenesis, in cardiomyocyte reduction of S-nitrosylation by GSNOR protects against sepsis-induced myocardial depression [81]. Increased expression of anti-apoptotic protein Bcl-2 provides septic protection and improved survival in experimental sepsis-CLP [82]. LDHA expresses predominantly in skeletal muscle and liver and plays a key role in host immune response [83]. HIF-1α [84] and PI3K/Akt-HIF-1α pathway involved in LDHA regulation [85]. Studies show that inhibition of LDHA effectively regulates the NF-κB activation induced by LPS, indicating the potential role of LDHA in sepsis [86]. Leroy C Joseph, et. al. show that the Inhibition of NOX2 prevents sepsis-induced cardiomyopathy by decreasing oxidative stress and by preserving intracellular calcium levels and mitochondrial function [87]. Abdominal sepsis, transcriptomic analysis showed increased PRKG1 levels [88].
In this study, we observed that the dysregulated protein expression levels impacted by CLP, including the expression of RAGE/AGEs, GSNOR, NFκB2, Bcl-2 LDHA NOX2, PRKG1, and Pde5a, somewhat stabilized/ reached normal levels in the exercise-trained animals exposed to CLP (Figs. 5, 6, 7, 8, 9, 12). Also, bioinformatics analysis of significantly altered protein-coding and hub genes and further confirms the sepsis complexity and exercise impact on multiple cellular signaling pathways. This study's comprehensive integrated analysis summary of the major observed changes in sepsis and moderate exercise training on liver and serum samples is shown in the graphical abstract (Fig. 13) and in Table 1.
Fig. 13
Integrative summary of the major observed effect in sepsis and exercise training on liver tissue and serum samples. A The panel shows the overview of the intersection of different potential key impacted Signaling pathways including inflammation, oxidative/nitrergic stress (redox balance), Hypoxia, and AGE/RAGE signaling in both Male and Female sepsis animals. B Pre-exercise training animals at post-operative hour 24. Pre-exercise training (3 weeks treadmill) significantly reduces the sepsis-induced molecular pathways destruction and increases sepsis survival. ↑, increased; ↓, decreased; ↕, no change/not significant change
Table 1
Summary of the major observed effect in sepsis and exercise training male and female rat liver tissue and serum samples organized by group
Male rats (♂) expression levels
Female rats (♀)expression levels
Gl vs G2
Gl vs GS
Gl vs G4
Gl vs G5
Gl vs G6
G3 vs G4
G4 vs G5
G4 vs G6
Marker
Gl vs G2
Gl vs G3
Gl vs G4
Gl vs G5
Gl vs G6
G3 vs G4
G4 vs G5
G4 vs G6
Antioxidant
0.68ns
0.05ns
1.66↓
0.5ns
0.2ns
1.1↓
1.1↑
1.4↑
Total SOD activity (U/mg)
1.7↑
0.84ns
1.79↓
0.37ns
0.18ns
1.6↓
1.4↑
1.6↑
44.6↑
54.5↑
29.1↓
33.9ns
18.2ns
83.7↓
63.1↑
47.4↑
SOD1 (%)
37.1ns
42.7↑
30.5↓
28.5ns
24.8ns
73.3↓
59.8↑
55.4↑
4.7ns
2ns
50.2↑
28.6↑
26.5↑
48.1↑
21.5ns
23.6ns
SOD2 (%)
16ns
27.8ns
87.0↑
40.3ns
44.5↑
59.2↑
46.6↓
42.5↓
38.9↑
14.9ns
20.6↓
19.9ns
14.9ns
35.5↓
40.5↑
35.5↑
SOD3 (%)
35.3↑
19.6ns
21.5↓
22.8ns
26.7ns
40.7↓
44↑
47↑
11.1ns
8.8ns
28.1↓
7.7ns
14.9ns
36.9↓
20.4ns
13.2ns
CAT (%)
1.7ns
2.8ns
28.4↓
3.0ns
18.3↓
25.56↓
25.4↑
10.1ns
0.01ns
0.001
0.21↓
0.02ns
0.15↓
0.21↓
0.18↑
0.05↑
AO (mM)
0.03ns
0.002ns
0.30↓
0.03ns
0.20↓
0.30↓
0.26↑
0.09↑
Inflammatory and lactate
0.06ns
4.6↑
30.8↑
10.1↑
7.0↑
26.2↑
20.6↓
23.7↓
TNFa (pg/ml)
1.4ns
0.33 ns
26.4↑
10.2↑
10.3↑
26.0↑
16.1↓
16.1↓
61.7↓
31.5↑
342↑
5.42ns
37↑
311↑
337↓
305↓
IL-6 (pg/ml)
80.5↓
13.8ns
223↑
64↓
55↓
210↑
288↓
279↓
31.2ns
45.0ns
121↑
35.5ns
36.0ns
76↑
85.4↓
85.0↓
TLR4 (%)
33.1ns
39.1ns
124↑
51.2ns
14.7ns
85.5↑
73.5↓
139↓
39.6ns
48.8ns
181↑
105↑
96.0↑
133↑
76.6↓
85.8↓
NFKB2 (%)
15.8ns
3.2ns
171↑
64ns
75.3↑
175.1↑
107↓
96.5↓
0.02ns
0.02ns
1.52↑
0.74↑
1.7↑
1.51↑
0.79↓
0.16ns
Lactate (mmol/L)
0.21ns
0.32ns
2.59↑
0.79↑
3.5↑
2.92↑
1.80↓
0.90ns
Hypoxia -stress response
114ns
195↑
564↑
177ns
26.7ns
368↑
387↓
537↓
Hifla (%)
36ns
76ns
238↑
89ns
16ns
162↑
149↓
255↓
9.1ns
30.9ns
93.3↑
29.5ns
6.1ns
62.4↑
63.8↓
87.1↓
VESFa (%)
12.1ns
9.0ns
34.2↑
5.4ns
4.3ns
25.1↑
28.7↓
29.8↓
9.9ns
4.1ns
42.3↓,
7.9ns
19.1ns
38.2↓
34.3↑
23.2↑
Bcl2 (%)
9.6ns
3.0ns
24 6 ↓
20.7ns
1.4ns
27.7↓
3.8ns
23.1↑
37.3↓
33.3↓
46.2↑
38.3↓
20.5ns
79.6↑
84.5↓
66.7↓
NOX2 (%)
41.3↓
19.7ns
69.7↑
19.5ns
32.7↓
89.5↑
89.2↓
102↓
6.5ns
2.6ns
12.3ns
3.1ns
14.lns
15.0ns
15.5ns
1.7ns
LDHA (%)
12.1ns
9.0ns
34.2↑
5.4ns
4.3ns
25.1↑
28.7↓
29.8↓
Hif1a-target proteins
71.2↑
166↑
254↑
135↑
56.4↑
88.2↑
118↓
197↓
mTOR (%)
27.3ns
68.8↑
128↑
30.9ns
4ns
59.4↑
97.3↓
124↓
20.5↑
14.8ns
21.8↓
0.2ns
10.1ns
36.6↓
21.6↑
11.6ns
AMPK (%)
17.4ns
14.1ns
54.5↓
11.8ns
36.0↓
40.4↓
42.7↑
18.5ns
1.5ns
3.0ns
25.1↓
5,7ns
12ns
22.1↓
30.9↑
37.1↑
AKT (%)
4.4ns
0.8ns
28.3↓
13.9ns
1.1ns
29.1↓
42.5↑
18.1ns
0.7ns
7.9ns
21.4↑
4.0ns
22.11ns
29.4↑
25.4↓
43.5↓
PRKG1 (%)
10.5ns
8.4ns
57.8↑
6.4ns
12.4ns
49.3↑
51.3↓
70.3↓
10.4ns
4.4ns
193↓
3.5ns
25.2↓
14.9↓
15.7↑
5.9ns
PDE5a (%)
3.9ns
8.3ns
26.5↓
13.4ns
12ns
18.2ns
13.1ns
14.5ns
NRF-2 signaling proteins
14.0↑
17.4ns
37.1↓
20ns
19.7ns
54.6↓
57.1↑
56.8↑
NRF2 (%)
25.3↑
27.0↑
21.0↓
8.6 ns
13.1ns
48.0↓
29.1↑
34.1↑
14.6ns
23.2ns
113↑
35.3ns
13.3ns
90.3↑
78.3↓
100↓
Keap1 (%)
27.2ns
62.3↑
139.5↑
77.8↑
30.9ns
77.2↑
61.7↓
108.6↓
8.2ns
9.3ns
36.2↓
5.1ns
3.6ns
45.6↓
31.0↑
32.6↑
Nqo1 (%)
17.7ns
18.7ns
27.9↓
4.9ns
6.2ns
46.6↓
32.9↑
21.6↑
51.8↑
8.1ns
18.8↓
18.4ns
1.6ns
26.9↓
37.2↑
17.1ns
p62/sqstm1 (%)
20.7↑
5.9ns
38.8↓
7.1ns
7.2ns
44.8↓
31.7↑
31.6↑
2.8ns
5.3ns
326↑
215↑
226↑
↑321
no↓
99.6↓
HO-1 (%)
6.3ns
91.5↑
712↑
408↑
257↑
620↑
304↓
455↓
Response to stress
28ns
82.5↑
165↑
87.6↑
48.9ns
82.4↑
77.3↓
116↓
AGE (%)
19.5ns
37.4ns
124↑
30.7ns
3.4ns
87↑
93.7↓
127↓
44.1ns
139↑
254↑
136↑
152↑
95.6↑
91.7↓
102↓
RAGE (%)
2.2ns
36.2ns
99.6↑
27.3ns
27.5ns
63.4ns
72.2↓
72.1↓
2.8ns
5.8ns
20.4↑
3.7ns
1.5ns
26.3↑
16.6↓
18.9↓
MARK (%)
4,1ns
8.9ns
58.5↑
26.9↑
14.3ns
49.5↑
31.6↓
44.2↓
12.9ns
9.6ns
52.2↑
6.4ns
1.8ns
42.6↑
45.7↓
54.1↓
NOS3 (%)
15.8ns
17.5ns
55.1↑
20.6ns
2.6
37.6↑
34.5↓
57.8↓
18.8ns
59.9↑
130↑
46.3ns
9.8ns
70.5↑
84.1↓
120↓
NOS2 (%)
42.2↑
60.7↑
158↑
42.8ns
20.6ns
97.3↑
115↓
137↓
5.4ns
71.7ns
229↑
171↑
420↑
157↑
57.6ns
190↑
HP (%)
30.6ns
92.5ns
338↑
325↑
636↑
246↑
13.5ns
297↑
0.02ns
0.06ns
1.38↑
0.16↑
0.04ns
1.32↑
1.21↓
1.34↓
cf-HB (g/dl, serum)
0.04ns
0.34ns
1.95↑
0.03ns
0.19ns
1.60↑
1.9↓
1.7↓
61.3↑
2.2ns
37.6↑
7.2↑
6.5↑
35.4↑
30.4↓
31.1↓
PC (nmol/mg protein)
3.1↑
2.0↓
2.6↑
0.5 ns>
1.4↓
4.7↑
3.2↓
4.1↓
2.1↓
3.1↓
2.6↑
3↓
1.3↓
5.8↑
5.7↓
4↓
NO (µ mole/L)
0.9ns
0.8ns
3.1↑
2.7↓
0.4ns
3.9↑
5.8↓
2.6↓
0.0005ns
0.007ns
0.0455↑
0.0176↑
0.0168↑
0.0378↑
0.0278↓
0.0286↓
Nitrotyrosine (µ m−2)
0.0005ns
0.0023ns
0.0398↑
0.0117↑
0.0127↑
0.0375↑
0.0281↓
0.0270↓
11.6ns
10.5ns
110↑
0.8ns
22ns
99↑
110↓
132↓
S-nitrosylation (%)
35.3ns
18.5ns
81.1↑
22.9ns
16ns
62.6↑
58.2↓
97.1↓
19.4ns
16.5ns
27.3↓
34.5ns
25.5ns
43.9↓
61.9↑
52.9↑
GSNOR (%)
35.3ns
28.6ns
21.1↓
46.1↑
30.3ns
49.8↓
67.3↑
51.5↑
↑, increased; ↓, decreased; ns, no significant change
×
Conclusions
Moderate exercise training for 3 weeks increased survival in rats exposed to CLP (subgroup analysis suggested that the survival benefit was more pronounced in females). In the setting of CLP, training was associated with lower inflammation, oxidative and nitrosative stress levels, and activation of multiple antioxidant defense pathway. Also, the identified hub-gene signatures (e.g., NOS2, VEGFa, AKT, HO-1, SOD2) are useful for a deeper understanding of key signaling pathways-connection in sepsis development and may be helpful for early prediction of sepsis progression. Further investigation of these hub-gene molecular regulation mechanisms in exercise-trained sepsis animals may bring new sight (non-pharmacological alternative) for sepsis outcomes and sepsis treatment.
Study limitations and future work
Our work has limitations. It was conducted in rats, and thus, the results are not directly applicable to humans. The applicability of animal models to humans, especially in infectious disease research, is an area of active controversy [24, 89]. To eliminate survivor bias, our biochemical analysis was performed at only two early time points—12 and 24 h. The inflammatory response to surgery and infection takes time to develop [90], and our results are not applicable in the later time points that would be typical in humans who survive surgery and/or infection. This study focused on the expression of genes-proteins involved in several pathways associated with sepsis-exercise conditions in the Liver (need to consider other organs, ex; cardiac and lung for combined functional effect). Our data showed sex differences, these sex differences in survival and expression studies might be the effects of sex hormones or other sex factors (need to be considered in additional studies), but may also be a statistical anomaly—our study was not powered to look at male and female survival individually. Lastly, because we did not perform any molecular target inhibitor studies, we cannot draw any definitive conclusions about the underlying mechanisms induced by exercise training. Confirming the mechanisms through which exercise seems to confer a survival benefit after sepsis, as well as whether or not these mechanisms can be augmented pharmacologically (e.g., through sulforaphane).
Acknowledgements
The authors would like to thank Department of Anesthesiology, University of Virginia School of Medicine.
Declarations
Ethics approval and consent to participate
All performed procedures on animals were previously reviewed and approved by the Animal Care and Use Committee of The University of Virginia.
Consent for publication
Not applicable.
Competing interests
Dr. Thiele performs consulting work on advanced monitoring technology for Medtronic, Edwards LifeSciences, and Philips Medical. Dr. Thiele received an investigator-initiated award from Apple to explore the use of exercise training in patients undergoing cancer surgery. Dr. Thiele has an NIH Grant (R-21, NIBIB) to develop near-infrared spectroscopy equipment to measure the oxidation state of cytochrome aa3 non-invasively. The other authors declare that they have no competing interests.
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
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