Literature DB >> 20699433

Insulin suppresses endotoxin-induced oxidative, nitrosative, and inflammatory stress in humans.

Paresh Dandona1, Husam Ghanim, Arindam Bandyopadhyay, Kelly Korzeniewski, Chang Ling Sia, Sandeep Dhindsa, Ajay Chaudhuri.   

Abstract

OBJECTIVE: To investigate whether insulin reduces the magnitude of oxidative, nitrosative, and inflammatory stress and tissue damage responses induced by endotoxin (lipopolysaccharide [LPS]). RESEARCH DESIGN AND METHODS: Nine normal subjects were injected intravenously with 2 ng/kg LPS prepared from Escherichia coli. Ten others were infused with insulin (2 units/h) for 6 h in addition to the LPS injection along with 100 ml/h of 5% dextrose to maintain normoglycemia.
RESULTS: LPS injection induced a rapid increase in plasma concentrations of nitric oxide metabolites, nitrite and nitrate (NOM), and thiobarbituric acid-reacting substances (TBARS), an increase in reactive oxygen species (ROS) generation by polymorphonuclear leukocytes (PMNLs), and marked increases in plasma free fatty acids, tumor necrosis factor-α (TNF-α), interleukin-6 (IL-6), monocyte chemoattractant protein-1 (MCP-1), macrophage migration inhibition factor (MIF), C-reactive protein, resistin, visfatin, lipopolysaccharide binding protein (LBP), high mobility group-B1 (HMG-B1), and myoglobin concentrations. The coinfusion of insulin led to a total elimination of the increase in NOM, free fatty acids, and TBARS and a significant reduction in ROS generation by PMNLs and plasma MIF, visfatin, and myoglobin concentrations. Insulin did not affect TNF-α, MCP-1, IL-6, LBP, resistin, and HMG-B1 increases induced by the LPS.
CONCLUSIONS: Insulin reduces significantly several key mediators of oxidative, nitrosative, and inflammatory stress and tissue damage induced by LPS. These effects of insulin require further investigation for its potential use as anti-inflammatory therapy for endotoxemia.

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Year:  2010        PMID: 20699433      PMCID: PMC2963505          DOI: 10.2337/dc10-0929

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   19.112


Endotoxin (lipopolysaccharide [LPS]) induces inflammation by binding to its specific receptor, Toll-like receptor-4 (TLR-4) (1,2). This leads to the nuclear translocation and activation of nuclear factor κB (NFκB), the major proinflammatory transcription factor, and an increase in the transcription of proinflammatory genes with a corresponding increase in the concentration of the products of these genes in plasma. Endotoxemia in association with clinical Gram-negative septicemia syndrome in humans leads to a high incidence of morbidity and mortality, especially in patients in intensive care units (ICUs). Insulin has been shown to suppress inflammatory changes in vitro and in vivo. It suppresses intranuclear NFκB and Egr-1 binding and the expression of several proinflammatory mediators including intercellular adhesion molecule-1 and monocyte chemoattractant protein-1 (MCP-1), matrix metalloproteinase-9, C-reactive protein (CRP), and serum amyloid A (3,4). In addition, it suppresses the expression of several Toll-like receptors (TLRs) (5). It also suppresses reactive oxygen species (ROS) generation and p47phox expression. Resistin and visfatin, two peptides originally discovered as adipokines (6,7), have now been shown to be products of proinflammatory myeloid cells (8,9) and to induce proinflammatory cytokines, chemokines, and ROS. Both have been implicated in atherogenesis (10). LPS induces an increase in the expression of inducible nitric oxide synthase and NO release (11) from macrophages. LPS is also known to stimulate the generation of ROS including superoxide. There are recent data showing that LPS injection in experimental animals leads to a reduction in myocardial function. Insulin administration in LPS-injected animals reduces LPS-induced damage (12). On the basis of the above, we hypothesized that 1) the injection of LPS in normal human subjects will induce an increase in ROS generation, lipid peroxidation, nitrosative stress as reflected in plasma concentrations of NO metabolites, nitrite and nitrate, plasma free fatty acid concentration, plasma myoglobin concentrations. novel adipokines, resistin and visfatin, and lipopolysaccharide binding protein (LBP) in parallel with proinflammatory cytokines such as tumor necrosis factor-α (TNF-α), interleukin-6 (IL-6), and macrophage migration inhibitory factor (MIF), and high mobility group box-1 (HMG-B1) protein, which acts as a proinflammatory cytokine when released into the circulation and 2) insulin will suppress the LPS-induced increases in ROS generation, lipid peroxidation, plasma concentrations of nitrite and nitrate (NOM), free fatty acids (FFAs), resistin, visfatin, and markers of tissue damage including myoglobin, HMG-B1, TNF-α, and IL-6.

RESEARCH DESIGN AND METHODS

Nineteen normal-weight (BMI 20–25 kg/m2) healthy male subjects aged between 20 and 33 years (mean age 26 ± 3 years) were recruited for this study. After an overnight fast, nine subjects were injected intravenously with 2 ng/kg of LPS prepared from Escherichia coli along with saline at 100 ml/h. The other 10 were infused with insulin (2 units/h) 1 h before the LPS injection along with 100 ml/h of 5% dextrose coinfused with insulin to maintain normoglycemia. Insulin/dextrose or saline infusions were continued for 6 h after the LPS injection while subjects were in the fasting state to avoid the potential proinflammatory effect of a meal (13). They were then provided with a 900-calorie meal at 6:00 p.m. after which they ate nothing till the next morning. Subjects were monitored for vital signs (temperature, pulse, blood pressure, headaches, body aches, and chills) for 24 h after the LPS injection. Blood samples were collected 1 h before the LPS injection and at 0, 1, 2, 4, 6, and 24 h after the injection. The protocol was approved by the internal review board of the State University of New York at Buffalo, and written consent was obtained from all subjects.

Polymorphonuclear leukocytes isolation and ROS generation

Blood samples were collected and polymorphonuclear leukocytes (PMNLs) were isolated and ROS generation was measured as described previously (14). The intra-assay coefficient of variation (CV) for ROS generation is 8%.

Measurement of glucose, insulin, FFAs, NOM, and thiobarbituric acid–reacting substance concentrations and homeostasis model assessment of insulin resistance calculation

Plasma concentrations of glucose were measured by a 2300 STAT Plus glucose analyzer (YSI, Yellow Springs, OH). Insulin concentrations were measured from plasma samples using an ELISA kit (Diagnostics Systems Laboratories, Webster, TX). FFA concentrations were measured using the Half-Micro calorimetric kit from Roche Diagnostic (Indianapolis, IN). NOM (NO2/NO3) were assayed by the Griess reaction (R&D Systems, Minneapolis, MN), and thiobarbituric acid–reacting substances (TBARS) were assayed by spectrofluorometry with a kit from Zeptometrix (Buffalo, NY). The CVs for these assays ranged from 2 to 7 and 4 to 11% for intra- and interassay variations, respectively. Homeostasis model assessment of insulin resistance (HOMA-IR) was calculated according to the formula: (fasting insulin [microunits per milliliter) × fasting glucose [millimoles per liter])/22.5.

Measurements of plasma cytokines, CRP, visfatin, resistin, myoglobin, HMG-B1, and LBP concentrations

Commercially available ELISAs were used to measure concentrations of circulating cytokine concentrations (R&D Systems), CRP (American Diagnostica, Stamford, CT), visfatin (Phoenix Pharmaceuticals, Belmont, CA), myoglobin (Life Diagnostics, West Chester, PA), HMG-B1 (IBL Transatlantic), and LBP (Cell Sciences, Canton, MA). The CVs for these assays ranged from 3 to 8 and 6 to 11% for inter- and intra-assay variations, respectively.

Statistical analysis

Statistical analysis was conducted using SigmaStat software (SPSS, Chicago, IL). All data are means ± SEM. Statistical analysis from baselines was preformed using Holm-Sidak one-way repeated-measures analysis of variance (RMANOVA). Dunnett's two-factor RMANOVA method was used for multiple comparisons between different groups. Paired t tests were used to compare changes from baseline at 24 h.

RESULTS

Clinical features

LPS injection induced an increase in temperature from 97.7 ± 0.5°F to a peak of 100.9 ± 0.9°F at 4 h, systolic blood pressure increased from 113 ± 11 mmHg to a peak of 129 ± 13 mm Hg at 2 h, and pulse rate increased from 63 ± 7/min to a peak of 97 ± 9/min at 6 h and was not affected by insulin (Table 1). Headaches, chills, and body ache scores increased after LPS injection with peaks at 1 to 2 h with insulin infusion reducing body ache score significantly (Table 1) without affecting headaches and chills.
Table 1

Changes in clinical, oxidative, and inflammatory end points after 2 ng/kg injection of LPS alone or LPS and 2 units/h insulin for 6 h in normal healthy subjects

Marker and group−1 h0 h1 h2 h4 h6 h24 hP value*P value
Systolic blood pressure (mmHg)
    LPS113 ± 11111 ± 10118 ± 12129 ± 13123 ± 12118 ± 10118 ± 120.01NS
    LPS119 ± 11117 ± 10120 ± 12135 ± 14124 ± 13119 ± 10119 ± 110.01
Diastolic blood pressure (mmHg)
    LPS + Ins74 ± 773 ± 774 ± 874 ± 1075 ± 1074 ± 676 ± 7NSNS
    LPS + Ins75 ± 974 ± 876 ± 977 ± 1076 ± 1075 ± 976 ± 8NS
Temperature (°F)
    LPS97.7 ± 0.597.5 ± 0.598.0 ± 0.798.4 ± 0.5100.9 ± 0.999.1 ± 0.997.5 ± 0.50.001NS
    LPS + Ins97.8 ± 0.797.8 ± 0.698.2 ± 0.798.6 ± 0.7101.1 ± 1.099.3 ± 0.997.5 ± 0.60.001
White blood cell count (103 cells/mm3)
    LPS4.3 ± 0.84.1 ± 0.72.8 ± 0.56.8 ± 0.910.4 ± 1.111.8 ± 1.27.0 ± 1.10.001NS
    LPS + Ins4.8 ± 0.94.6 ± 0.83.4 ± 0.66.1 ± 0.89.8 ± 1.110.6 ± 1.06.8 ± 0.90.001
Pulse (/min)
    LPS63 ± 760 ± 763 ± 776 ± 888 ± 997 ± 964 ± 60.001NS
    LPS + Ins65 ± 863 ± 666 ± 581 ± 791 ± 896 ± 962 ± 60.001
Body aches score
    LPS0.00.00.47 ± 0.21.22 ± 0.30.76 ± 0.30.34 ± 0.10.00.0010.02
    LPS + Ins0.00.00.61 ± 0.20.88 ± 0.30.32 ± 0.10.25 ± 0.10.00.01
Glucose (mg/dl)
    LPS87.2 ± 2.689.9 ± 2.488.6 ± 4.585.5 ± 4.984.5 ± 4.284.5 ± 3.386.6 ± 3.0NSNS
    LPS + Ins83.6 ± 2.085.7 ± 2.281.4 ± 5.382.9 ± 3.287.3 ± 4.580.2 ± 4.885.6 ± 2.5NS
Insulin (μIU/ml)
    LPS6.9 ± 1.86.4 ± 1.47.4 ± 1.67.2 ± 1.26.4 ± 1.15.9 ± 1.113.1 ± 2.2NS0.001
    LPS + Ins7.5 ± 1.531.1 ± 3.730.5 ± 5.124.9 ± 4.215.4 ± 2.828.9 ± 4.814.9 ± 3.00.004
HOMA-IR
    LPS1.22 ± 0.242.36 ± 0.39
    LPS + Ins1.33 ± 0.282.48 ± 0.41
FFA (mmol/l)
    LPS0.39 ± 0.080.35 ± 0.050.28 ± 0.040.51 ± 0.090.62 ± 0.10.82 ± 0.120.32 ± 0.090.0120.024
    LPS + Ins0.29 ± 0.070.29 ± 0.080.11 ± 0.020.16 ± 0.060.32 ± 0.080.36 ± 0.080.31 ± 0.070.005
Triglyceride (mg/dl)
    LPS141 ± 24140 ± 24132 ± 23133 ± 21108 ± 2092 ± 1894 ± 180.02NS
    LPS + Ins125 ± 21118 ± 19109 ± 23104 ± 19106 ± 2283 ± 1789 ± 170.01
CRP (mg/l)
    LPS1.16 ± 0.341.13 ± 0.281.21 ± 0.231.13 ± 0.211.46 ± 0.363.07 ± 0.5215.03 ± 1.10.001NS
    LPS + Ins1.27 ± 0.371.27 ± 0.391.28 ± 0.291.21 ± 0.341.56 ± 0.353.39 ± 0.6114.25 ± 1.30.001
TNF-α (pg/ml)
    LPS1.2 ± 0.71.2 ± 0.7123 ± 29136 ± 4018 ± 68.3 ± 2.22.6 ± 1.10.002NS
    LPS + Ins0.9 ± 0.60.9 ± 0.6138 ± 34134 ± 4321 ± 88.1 ± 2.12.1 ± 0.80.001
IL-6 (pg/ml)
    LPS2.49 ± 0.82.49 ± 0.825.7 ± 848.9 ± 4.548.3 ± 6.122.8 ± 5.34.8 ± 1.10.002NS
    LPS + Ins1.9 ± 0.81.9 ± 0.826.9 ± 750.7 ± 4.349.2 ± 1.824.3 ± 4.34.4 ± 2.80.003
MCP-1 (ng/ml)
    LPS727 ± 111727 ± 1111,056 ± 1331,003 ± 1171,081 ± 1401,345 ± 145828 ± 1380.0080.028
    LPS + Ins713 ± 102713 ± 102700 ± 137863 ± 1271,093 ± 1211,080 ± 87885 ± 1390.027
LBP (μg/ml)
    LPS13.2 ± 2.613.3 ± 2.815.02 ± 2.815.7 ± 3.015.8 ± 3.017.6 ± 5.321.2 ± 6.80.021NS
    LPS + Ins11.5 ± 2.011.1 ± 1.712.0 ± 2.212.5 ± 2.112.5 ± 1.814.8 ± 2.820.2 ± 3.80.019
Resistin (ng/ml)
    LPS7.72 ± 0.97.78 ± 0.79.57 ± 0.817.69 ± 1.323.83 ± 2.224.74 ± 2.411.69 ± 1.50.001NS
    LPS + Ins8.15 ± 1.18.04 ± 0.99.86 ± 1.217.89 ± 1.621.49 ± 2.324.95 ± 2.611.35 ± 1.60.001

Data are means ± SEM.

*P < 0.05 with one-way RMANOVA.

†Two-way ANOVA.

‡P < 0.05 with paired t test at 24 h compared with −1 h.

Changes in clinical, oxidative, and inflammatory end points after 2 ng/kg injection of LPS alone or LPS and 2 units/h insulin for 6 h in normal healthy subjects Data are means ± SEM. *P < 0.05 with one-way RMANOVA. †Two-way ANOVA. ‡P < 0.05 with paired t test at 24 h compared with −1 h.

Blood leukocyte counts

After LPS, total leukocyte count increased from a baseline of 4,300 ± 900 at −1 h to a peak of 11,800 ± 1,200 cells/mm3 at 6 h and was still elevated (7,000 ± 1,100 cells/mm3) at 24 h, mainly attributable to polymorphonuclear leukocytosis (Table 1). Monocytes and lymphocytes fell rapidly from 6 ± 0.4 to 0.5 ± 0.1% and from 39 ± 5 to 3 ± 0.8%, respectively. Insulin infusion did not alter this pattern. The marked reduction in monocytes and lymphocytes prevented us from examining ROS generation and other cellular markers/mediators in the mononuclear cell fraction.

Plasma insulin, glucose, FFA, triglyceride, LDL cholesterol, and HDL cholesterol concentrations

In the group receiving insulin, insulin concentrations increased by up to fourfold (P < 0.001) (Table 1). In the control group, insulin concentrations did not change in the first 6 h but were significantly higher than baseline at 24 h (P < 0.05) (Table 1). There was no significant change in glucose concentrations. Consistent with that finding, HOMA-IR increased significantly at 24 h from 1.22 ± 0.24 vs. 2.36 ± 0.39 in the control group (Table 1). After LPS injection, there was a significant increase in plasma FFA concentration. Insulin infusion prevented this increase (Table 1). Serum triglyceride concentration fell significantly in both groups (Table 1). LDL cholesterol, VLDL cholesterol, and HDL cholesterol concentrations did not change.

ROS generation by PMNLs

LPS injection induced an increase in ROS generation by PMNLs of 200 ± 42% over the basal with a peak at 1 h and another peak at 4–6 h. Insulin infusion reduced (Fig. 1A) ROS generation throughout the infusion period (P < 0.05 by two-factor RMANOVA).
Figure 1

Change in ROS generation by PMNL (A) and plasma concentrations of TBARS (B) and NOM (C) after a 2 ng/kg LPS injection (at 0 h) in normal subjects with and without a 2-unit/h infusion of insulin with 5% dextrose for 6 h. n = 10 and 9 each. Data are means ± SE. * and **P < 0.05 by RMANOVA from baseline; #P < 0.05 by two-way RMANOVA between the groups.

Change in ROS generation by PMNL (A) and plasma concentrations of TBARS (B) and NOM (C) after a 2 ng/kg LPS injection (at 0 h) in normal subjects with and without a 2-unit/h infusion of insulin with 5% dextrose for 6 h. n = 10 and 9 each. Data are means ± SE. * and **P < 0.05 by RMANOVA from baseline; #P < 0.05 by two-way RMANOVA between the groups.

Plasma TBARS concentrations

LPS injection induced a rapid increase in TBARS concentration from 1.29 ± 0.29 to 2.15 ± 0.41 μmol/l (P < 0.01) at 1 h, with a return to baseline at 2 h (Fig. 1B). This pattern was observed in each of the LPS-injected subjects. Insulin infusion totally prevented this increase.

Plasma NOM concentrations

Plasma NOM concentration increased rapidly after the injection of LPS at 1 h, peaked to 75 ± 24% over the baseline at 2 h (from 29.4 ± 2.6 to 47.7 ± 5.4 μmol/l), and declined to the baseline by 4 h. There was a secondary rise in NOM concentration at 6 h (Fig. 1C). With insulin infusion, the LPS-induced increase in NOM was totally prevented and in fact there was a small but significant decrease by 16 ± 10% below the baseline in plasma NOM concentrations (from 31.7 ± 2.8 to 26.9 ± 2.6 μmol/l).

Plasma MIF, TNF-α, IL-6, and CRP concentrations

Plasma concentrations of MIF increased significantly after LPS injection at 1 h with a secondary increase at 4–6 h from 727 ± 111 to 1,345 ± 145 ng/ml at 6 h (Fig. 2A). Insulin infusion with LPS prevented the LPS-induced increase of MIF during the initial increase and suppressed it significantly during the secondary increase (from 700 ± 137 to 1,080 ± 87 ng/ml at 6 h). The plasma concentration of TNF-α increased at 1 h, peaked between 1 and 2 h (P < 0.001, Table 1), and declined thereafter, reaching near the baseline at 24 h. IL-6 increased at 1 h, peaked between 2 and 4 h (P < 0.001) (Table 1), and declined toward the baseline by 24 h. CRP concentration increased at 6 h and was still elevated at 24 h (from 1.2 ± 0.2 to 15.2 ± 5.7 mg/l, P < 0.001) (Table 1). Insulin infusion did not alter the LPS-induced increases in TNF-α, IL-6, or CRP concentrations.
Figure 2

Change in plasma concentrations of MIF (A) and visfatin (B) after a 2 ng/kg LPS injection (at 0 h) in normal subjects with and without a 2-unit/h infusion of insulin with 5% dextrose for 6 h. n = 10 and 9 each. Data are means ± SE. * and **P < 0.05 by RMANOVA from baseline; #P < 0.05 by two-way RMANOVA between the groups.

Change in plasma concentrations of MIF (A) and visfatin (B) after a 2 ng/kg LPS injection (at 0 h) in normal subjects with and without a 2-unit/h infusion of insulin with 5% dextrose for 6 h. n = 10 and 9 each. Data are means ± SE. * and **P < 0.05 by RMANOVA from baseline; #P < 0.05 by two-way RMANOVA between the groups.

Plasma resistin, visfatin, and LBP concentrations

Plasma visfatin concentrations increased significantly after LPS injection starting at 4 h, peaked at 6 h (87 ± 37% above baseline, from 11.4 ± 1.2 to 19.2 ± 2.4 ng/ml, P < 0.001) (Fig. 2B), and was maintained at that level for 24 h. When insulin was infused before LPS injection, visfatin concentrations fell significantly from 11.9 ± 1.5 to 7.7 ± 1.1.0 ng/ml (P < 0.001) (Fig. 2B) at 4 h and were significantly different from that in the control group. LPS injection also caused a significant increase in resistin concentrations, which started at 2 h after the injection, peaked at 6 h (223 ± 25% above baseline, from 8.1 ± 1.1 to 24.7 ± 4.7 ng/ml P < 0.001) (Table 1) and continued to be higher than baseline at 24 h. Plasma LBP concentrations increased gradually after LPS injection and were higher by 48 ± 19% above the baseline at 24 h (P < 0.05) (Table 1). Insulin did not cause any significant change in the LPS-induced increases in resistin or LBP concentrations.

Plasma myoglobin and HMG-B1 concentrations

The plasma concentration of myoglobin also increased significantly from 22.3 ± 4.1 to 32.8 ± 5.3 ng/ml at 4 h and to 39 ± 5.8 ng/ml (P < 0.05) at 24 h after LPS injection (Fig. 3A). Insulin prevented the increase in myoglobin concentrations. HMG-B1 concentrations in plasma increased after LPS injection starting at 1 h and peaked at 6 h (Fig. 3B), whereas insulin infusion had no effect on the LPS-induced increase in HMG-B1concentrations.
Figure 3

Change in plasma concentrations of myoglobin (A) and HMG-B1 (B) after a 2 ng/kg LPS injection (at 0 h) in normal subjects with and without a 2-unit/h infusion of insulin with 5% dextrose for 6 h. n = 10 and 9 each. Data are presented as means ± SE. * and **P < 0.05 by RMANOVA from baseline; #P < 0.05 by two-way RMANOVA between the groups.

Change in plasma concentrations of myoglobin (A) and HMG-B1 (B) after a 2 ng/kg LPS injection (at 0 h) in normal subjects with and without a 2-unit/h infusion of insulin with 5% dextrose for 6 h. n = 10 and 9 each. Data are presented as means ± SE. * and **P < 0.05 by RMANOVA from baseline; #P < 0.05 by two-way RMANOVA between the groups.

CONCLUSIONS

Our data indicate several novel observations on the effects of LPS and insulin. They demonstrate for the first time the increase in ROS generation, TBARS, NOM, resistin, visfatin, myoglobin, and HMG-B1 concentrations in humans in vivo after an LPS injection. They also show for the first time that insulin infusion reduces or totally prevents the LPS-induced increases in ROS generation and the concentrations of TBARS, NOM, MIF, visfatin, and myoglobin. The relevance of each of these novel effects is discussed below. The LPS-induced increase in ROS generation by PMNL and TBARS concentration is evidence of marked oxidative stress. Insulin suppressed the increase in ROS generation significantly while eliminating the increase in TBARS altogether. After LPS, NOM peaked at 2 h and returned to the baseline by 4 h. The insulin infusion eliminated the increase in the NOM concentration. These actions of insulin were independent of any change in glucose concentrations. Elevated plasma NOM concentrations and inducible nitric oxide synthase expression in the liver have previously been shown to be suppressed by insulin infusions in patients in ICUs (15). In this study, the plasma concentrations of NOM in the highest quartile were associated with seven times greater mortality than those in the lowest quartile. Thus, the NOM concentration could be an important predictor of morbidity and mortality in the ICU setting (16). Whether this effect on mortality is directly related to an excess of nitric oxide generation or whether the increased NOM levels are merely markers of the intensity of systemic inflammation is not clear. Either way, the rapid induction of an increase in NOM by LPS and its total prevention by insulin are important and relevant observations. The biphasic increase in MIF after LPS was reduced by insulin infusion. On the other hand, insulin infusion did not prevent LPS-induced increases in plasma TNF-α, IL-6, intercellular adhesion molecule-1, and MCP-1 concentrations. This observation is in contrast to our previous observation in patients with obesity and type 2 diabetes in whom insulin suppressed these mediators. CRP concentrations began to increase at 6 h after the LPS injection at which time the infusion of insulin ended. Clearly, further studies with higher doses and for longer periods of insulin infusion are required. LPS also induced an increase in plasma FFA concentrations within 1 h, which continued for 24 h, consistent with a potent lipolytic effect of LPS. This increase was totally inhibited by insulin. The suppressive effect of insulin FFA is important because FFAs may induce oxidative and inflammatory stress (17). Our data also show for the first time that LPS injection in the human induced an increase in plasma concentrations of resistin and visfatin. Insulin infusion resulted in the suppression of the increase in visfatin but not resistin. The LPS-induced increase in visfatin and the prevention of this increase with insulin are of interest in terms not only of the acute LPS-induced inflammation but also of the chronic inflammation in atherosclerotic plaques because such plaques are known to contain LPS- and TLR-4-expressing macrophages (18). Such plaques also express visfatin, which may be secreted locally in response to the LPS-TLR-4 interaction (10). It is, therefore, of interest that insulin suppresses the LPS-induced increase in visfatin and has previously been shown to suppress TLR-4 expression (5). Resistin is also known to stimulate the secretion of proinflammatory cytokines, and the evidence that its concentration increases after LPS in the human in vivo establishes it as a proinflammatory mediator (19). Plasma concentrations of LBP also increased after LPS injection, demonstrated for the first time. The increase started late, at 6 h, like that of CRP and the previously described increase in procalcitonin (20) and continued overnight at 24 h. The increase in the concentration of LBP after LPS is important because LBP facilitates the binding of LPS to its receptor, TLR-4. As with CRP, the increase in LBP was not affected by insulin, possibly because both increased at 6 h and the insulin infusion was stopped at that time. It is of interest that although plasma glucose concentrations did not alter significantly, insulin concentrations and HOMA-IR increased significantly 24 h after LPS injection in concert with the induction of profound inflammation. This result is consistent with the recent observation that the injection of LPS (3 ng/kg) in normal subjects induced insulin resistance as measured by frequently sampled intravenous glucose tolerance and HOMA-IR (21). Our data also show for the first time that LPS induces an increase in HMG-B1 concentration in humans. Insulin did not alter this increase. HMG-B1 is a nuclear protein that binds to histones to promote proinflammatory gene transcription. It can be released from damaged, necrotic tissues. Circulating HMG-B1 acts like a proinflammatory cytokine through its binding to the receptor for advanced glycation end products (22). The increase in plasma myoglobin concentrations after LPS and its inhibition by insulin is important because it signifies damage to the skeletal muscle and possibly the myocardium. Consistent with this observation, we have previously shown a reduction in the increase in myoglobin concentrations in patients with myocardial infarction treated with intravenous insulin infusions. This finding is suggestive of a cytoprotective effect of insulin. The mechanisms underlying the effects of insulin observed in this report are probably related to several of our previous observations. Insulin suppresses the expression of TLR-4, the receptor for LPS, to reduce the activity of the major proinflammatory transcription factor, NFκB (3,5). Insulin has also been shown to suppress ROS generation and the expression of the p47 subunit of NADPH oxidase. Insulin has been shown previously to suppress inducible nitric oxide synthase expression and the plasma NOM concentration (15). Consistent with our observations are those of Jeschke et al. (23), who demonstrated that compared with control subjects, patients with severe burns given insulin had lower MIF and other proinflammatory cytokines and CRP concentrations with a tendency toward higher IL-10 concentrations. Insulin infusion with maintenance of normoglycemia has been shown to reduce mortality and morbidity in patients in a surgical ICU (24) and in patients in a medical ICU (25), whose stay in the ICU is for longer than 3 days. In summary, the injection of LPS in the human induces an immediate increase in ROS generation by PMNLs and in plasma concentrations of TBARS, NOM, FFA, MIF, resistin, visfatin, LBP, and myoglobin. The concomitant infusion of insulin induces a significant reduction in ROS generation and the total prevention of the increase in TBARS, NOM, and FFA concentrations. These actions were associated with a significant reduction in the magnitude of increase in MIF, myoglobin, and visfatin concentrations independently of any change in plasma glucose concentrations. On the other hand, insulin was not able to prevent or reduce the magnitude of increase in plasma concentrations of proinflammatory cytokines like TNF-α, IL-6, or MCP-1. Clearly, the effect of more prolonged infusions and higher doses of insulin needs to be investigated.
  25 in total

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Journal:  N Engl J Med       Date:  2006-02-02       Impact factor: 91.245

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Authors:  Hye Seung Jung; Ki-Ho Park; Young Min Cho; Sung Soo Chung; Hyun Ju Cho; Soo Youn Cho; Sang Joon Kim; Seong Yeon Kim; Hong Kyu Lee; Kyong Soo Park
Journal:  Cardiovasc Res       Date:  2005-11-04       Impact factor: 10.787

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Authors:  Atsunori Fukuhara; Morihiro Matsuda; Masako Nishizawa; Katsumori Segawa; Masaki Tanaka; Kae Kishimoto; Yasushi Matsuki; Mirei Murakami; Tomoko Ichisaka; Hiroko Murakami; Eijiro Watanabe; Toshiyuki Takagi; Megumi Akiyoshi; Tsuguteru Ohtsubo; Shinji Kihara; Shizuya Yamashita; Makoto Makishima; Tohru Funahashi; Shinya Yamanaka; Ryuji Hiramatsu; Yuji Matsuzawa; Iichiro Shimomura
Journal:  Science       Date:  2004-12-16       Impact factor: 47.728

4.  Insulin infusion in acute illness.

Authors:  Paresh Dandona; Priya Mohanty; Ajay Chaudhuri; Rajesh Garg; Ahmad Aljada
Journal:  J Clin Invest       Date:  2005-08       Impact factor: 14.808

5.  Resistin is stored in neutrophil granules being released upon challenge with inflammatory stimuli.

Authors:  Elisabeth A Boström; Andrej Tarkowski; Maria Bokarewa
Journal:  Biochim Biophys Acta       Date:  2009-09-19

6.  Role of toll-like receptors 2 and 4, and the receptor for advanced glycation end products in high-mobility group box 1-induced inflammation in vivo.

Authors:  Marieke A D van Zoelen; Huan Yang; Sandrine Florquin; Joost C M Meijers; Shizuo Akira; Bernd Arnold; Peter P Nawroth; Angelika Bierhaus; Kevin J Tracey; Tom van der Poll
Journal:  Shock       Date:  2009-03       Impact factor: 3.454

7.  Increased expression of visfatin in macrophages of human unstable carotid and coronary atherosclerosis: possible role in inflammation and plaque destabilization.

Authors:  Tuva B Dahl; Arne Yndestad; Mona Skjelland; Erik Øie; Arve Dahl; Annika Michelsen; Jan K Damås; Siv H Tunheim; Thor Ueland; Camilla Smith; Bjørn Bendz; Serena Tonstad; Lars Gullestad; Stig S Frøland; Kirsten Krohg-Sørensen; David Russell; Pål Aukrust; Bente Halvorsen
Journal:  Circulation       Date:  2007-02-05       Impact factor: 29.690

8.  Hyperglycemia contributes to cardiac dysfunction in a lipopolysaccharide-induced systemic inflammation model.

Authors:  Satoshi Hagiwara; Hideo Iwasaka; Akira Hasegawa; Nobuhiko Asai; Takayuki Noguchi
Journal:  Crit Care Med       Date:  2009-07       Impact factor: 7.598

9.  Human resistin is a systemic immune-derived proinflammatory cytokine targeting both leukocytes and adipocytes.

Authors:  Ivan Nagaev; Maria Bokarewa; Andrej Tarkowski; Ulf Smith
Journal:  PLoS One       Date:  2006-12-20       Impact factor: 3.240

10.  Acute modulation of toll-like receptors by insulin.

Authors:  Husam Ghanim; Priya Mohanty; Rupali Deopurkar; Ching Ling Sia; Kelly Korzeniewski; Sanaa Abuaysheh; Ajay Chaudhuri; Paresh Dandona
Journal:  Diabetes Care       Date:  2008-06-12       Impact factor: 19.112

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  20 in total

1.  Prediction of key regulators and downstream targets of E. coli induced mastitis.

Authors:  Somayeh Sharifi; Abbas Pakdel; Esmaeil Ebrahimie; Yalda Aryan; Mostafa Ghaderi Zefrehee; James M Reecy
Journal:  J Appl Genet       Date:  2019-06-11       Impact factor: 3.240

2.  Insulin Control of Blood Glucose and GLUT4 Expression in the Skeletal Muscle of Septic Rats.

Authors:  G P Lu; P Cui; Y Cheng; Z J Lu; L E Zhang; N Kissoon
Journal:  West Indian Med J       Date:  2014-12-16       Impact factor: 0.171

3.  Effects of Acerola (Malpighia emarginata DC.) Juice Intake on Brain Energy Metabolism of Mice Fed a Cafeteria Diet.

Authors:  Daniela Dimer Leffa; Gislaine Tezza Rezin; Francine Daumann; Luiza M Longaretti; Ana Luiza F Dajori; Lara Mezari Gomes; Milena Carvalho Silva; Emílio L Streck; Vanessa Moraes de Andrade
Journal:  Mol Neurobiol       Date:  2016-01-21       Impact factor: 5.590

4.  Metabolic diseases and pro- and prebiotics: Mechanistic insights.

Authors:  Yukiko K Nakamura; Stanley T Omaye
Journal:  Nutr Metab (Lond)       Date:  2012-06-19       Impact factor: 4.169

5.  Glycemic variability: can we bridge the divide between controversies?

Authors:  Louis Monnier; Claude Colette
Journal:  Diabetes Care       Date:  2011-04       Impact factor: 19.112

6.  Insulin Rescued MCP-1-Suppressed Cholesterol Efflux to Large HDL2 Particles via ABCA1, ABCG1, SR-BI and PI3K/Akt Activation in Adipocytes.

Authors:  Runlu Sun; Pu Fang; Jieyu Jiang; Canxia Huang; Junjie Wang; Qi Guo; Hongwei Li; Xiaoying Wu; Xiangkun Xie; Yuan Jiang; Qian Chen; Jinlan Bao; Jingfeng Wang; Hong Wang; Yuling Zhang
Journal:  Cardiovasc Drugs Ther       Date:  2021-03-19       Impact factor: 3.947

7.  Suppressive effect of insulin on the gene expression and plasma concentrations of mediators of asthmatic inflammation.

Authors:  Husam Ghanim; Kelly Green; Sanaa Abuaysheh; Manav Batra; Nitesh D Kuhadiya; Reema Patel; Antoine Makdissi; Sandeep Dhindsa; Ajay Chaudhuri; Paresh Dandona
Journal:  J Diabetes Res       Date:  2015-01-06       Impact factor: 4.011

8.  The effects of insulin pre-administration in mice exposed to ethanol: alleviating hepatic oxidative injury through anti-oxidative, anti-apoptotic activities and deteriorating hepatic steatosis through SRBEP-1c activation.

Authors:  Jiangzheng Liu; Xin Wang; Zhengwu Peng; Tao Zhang; Hao Wu; Weihua Yu; Deqing Kong; Ying Liu; Hua Bai; Rui Liu; Xiaodi Zhang; Chunxu Hai
Journal:  Int J Biol Sci       Date:  2015-04-03       Impact factor: 6.580

Review 9.  A Bittersweet Response to Infection in Diabetes; Targeting Neutrophils to Modify Inflammation and Improve Host Immunity.

Authors:  Rebecca Dowey; Ahmed Iqbal; Simon R Heller; Ian Sabroe; Lynne R Prince
Journal:  Front Immunol       Date:  2021-06-03       Impact factor: 7.561

10.  Diacerhein attenuates the inflammatory response and improves survival in a model of severe sepsis.

Authors:  Kelly L Calisto; Angélica C Camacho; Francine C Mittestainer; Bruno M Carvalho; Dioze Guadagnini; José B Carvalheira; Mario J Saad
Journal:  Crit Care       Date:  2012-08-16       Impact factor: 9.097

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