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. Author manuscript; available in PMC: 2015 Jun 15.
Published in final edited form as: Anesthesiology. 2011 Sep;115(3):614–625. doi: 10.1097/ALN.0b013e31822a63c9

Effects of Glycemic Regulation on Chronic Postischemia Pain

Marie-Christine Ross-Huot a,b, André Laferrière a,b, Cho Min Gi c, Mina Khorashadi b, Thomas Schricker a,d, Terence J Coderre a,b,c,d,*
PMCID: PMC4467970  CAMSID: CAMS4731  PMID: 21795964

Abstract

Background

Ischemia-reperfusion (I/R) injuries consist of enhanced oxidative and inflammatory responses along with microvascular dysfunction following prolonged ischemia and reperfusion. Since I/R injuries induce chronic postischemia pain (CPIP) in laboratory animals, it is possible that surgical procedures utilizing prolonged ischemia may result in chronic postoperative pain. Glycemic modulation during ischemia and reperfusion could impact pain following I/R injury, as glucose triggers oxidative, inflammatory and thrombotic reactions, whereas insulin has anti-oxidative, anti-inflammatory and vasodilatory properties.

Methods

110 rats underwent a 3-h period of ischemia followed by reperfusion to produce CPIP. CPIP rats had previously been divided into 6 groups with differing glycemic-modulation paradigms: 1) normal feeding; 2) fasting; 3) fasting with normal saline administration; 4) fasting with dextrose administration; 5) normal feeding with insulin administration; and 6) normal feeding with dextrose and insulin administration. Blood glucose levels were assessed during ischemia and reperfusion in these separate groups of rats, and they were tested for mechanical and cold allodynia over the following 21 days (on days 2, 5, 7, 9, 12 and 21 post-I/R injury).

Results

I/R injury in rats with normoglycemia or relative hyperglycemia (groups 1, 4) led to significant mechanical and cold allodynia; conversely, relative hypoglycemia associated with insulin treatment or fasting (groups 2, 3, and 5) reduced allodynia induced by I/R injury. Importantly, insulin treatment did not reduce allodynia when administered to fed rats given dextrose (group 6).

Conclusion

Our results suggest that glycemic levels at the time of I/R injury significantly modulate postinjury pain thresholds in CPIP rats. Strict glycemic control during I/R injury significantly reduces CPIP pain and, and conversely, hyperglycemia significantly enhances it, which could have potential clinical applications especially in the surgical field.

Introduction

Numerous surgical procedures involve intentional ischemic states, in order to reduce blood loss and produce a “clean” surgical field, from orthopaedic procedures using a tourniquet to any surgery involving organ resection, repair or transplant requiring vascular clamps. Ischemia-reperfusion injury (I/R injury), a complex condition consisting of intracellular injury and injurious inflammatory phenomena13, is a well-established postischemic consequence of a prolonged ischemic episode4. Chronic pain disorders and various painful syndromes can result from procedures involving ischemia5,6, and several factors that can impact the extent of the I/R injury have been described, such as the duration of the ischemic period, the extent of the ischemic region and the type of tourniquet used7,8.

Various animal models of I/R injury have been created to study the underlying pathophysiologic mechanisms of this phenomenon912. Chronic postischemia pain (CPIP) is an animal model in which rats undergo hind paw ischemia for 3 h, induced by the application of a tight-fitting tourniquet around their ankle, followed by reperfusion9. This I/R injury has been demonstrated to result in chronic mechanical and cold allodynia lasting for at least 4 weeks after the insulting event9. In CPIP rats, well-described mechanisms of I/R injury have been demonstrated, such as increased oxidative and inflammatory responses13,14 and microvascular dysfunction13,15. Indeed, in CPIP rats, free-radical induced lipid peroxidation, increased levels of proinflammatory cytokines tumor necrosis factor-α, interleukin-6 and interleukin-1β, increased levels of proinflammatory transcription factor nuclear factor κB and microvascular dysfunction (arterial vasospasms, capillary slow flow/ no reflow) were demonstrated in the affected hind paw13,15.

Factors that can decrease chronic post-ischemia pain following I/R injury are not well known. Glycemia modulation, at the moment of the insult (i.e., during I/R injury), could potentially impact the chronic pain outcome. Glucose induces profound oxidative and inflammatory changes at the cellular and molecular levels, by activating several pro-inflammatory transcription factors1619, and could potentially worsen CPIP. In contrast, insulin exerts vasodilatory and antiinflammatory effects, respectively by increasing the production of nitric oxide20, and by suppressing proinflammatory cytokines synthesis2123, which could be potentially beneficial in alleviating CPIP symptomatology.

Glycemic modulation using insulin infusion has been demonstrated to be of benefit in reducing mortality and morbidity in surgical intensive care unit, in cardiac surgery and in patients with an acute myocardial infarction24,25. Hyperglycemia has also been shown to worsen I/R injury in other organs, such as kidneys26 and brain27. Numerous studies have observed and described neuropathic pain as a consequence of chronic hyperglycemia, using diabetic animal models2830, but nothing is known about the role of acute glycemic modulation during an I/R injury, and its consequences on post-ischemia pain.

We hypothesise that hyperglycemia (relative hyperglycemia) at the time of the insult will be associated with an enhanced postischemia pain, whereas tight glycemic control (relative hypoglycemia) at the time of the injury will be associated with a reduced post-ischemia pain. The following study was aimed at testing this hypothesis in CPIP rats after modulating the glycemia of the animals during ischemia and reperfusion.

1. Materials and methods

1.1 Animals

The present study was conducted on male Long Evans rats (300–500 g, Charles River, Senneville, Quebec, Canada). A total of 110 rats were used for the study. Animals were housed in groups of 2–4, under controlled lighting (12 h light-dark cycle) and temperature conditions. Food and water were available ad libitum, except on the day before and on the day of the experimental procedures (see 1.3 Glycemic treatments section). The experiments performed in the present study were approved by the McGill Animal Care and Ethics committees, and were conformed to the ethical guidelines of the Canadian Council on Animal Care and the International Association for the Study of Pain31.

1.2 Hind paw ischemia and reperfusion

An I/R injury of the left hind paw was induced as previously described9. Rats were anesthetised for a period of 3 h with an intraperitoneal bolus (55 mg/kg) of sodium pentobarbital, followed by an intraperitoneal infusion of the anesthetic for 2 h (27.5 mg/kg/h). After induction of anesthesia, a Nitrile 70 Durometer O-ring (O-rings, Seattle, WA) with a 5.5 mm internal diameter was placed around the rat’s left hind paw, proximal to the ankle and left in place for 3 h. After a 3 h-period of ischemia, the O-ring was cut and normal blood flow to the injured limb was re-established. We have previously established using laser Doppler flowmetry that an O-ring of this diameter completely occludes blood flow to the hind paw13. A subset of animals (N = 50) underwent sham procedure. These rats received general anesthesia with sodium pentobarbital as in sentence 2, this paragraph, but were not fitted with an O-ring. Sixty minutes following the termination of pentobarbital infusion, the rats had recovered a normal respiratory pattern, and could be safely returned to their housing cages.

1.3 Glycemic treatments

In order to study the effect of glycemic modulation on chronic postischemia pain, 6 groups of rats were submitted to different glycemic conditions. Glycemia was manipulated - raised, lowered or unaltered - in order to make comparisons between groups of rats with differing mean glycemia. Fifteen to 21 rats were included in each group. In the regular diet (fed) group, animals had unlimited access to food and water prior to anesthesia. The second group of animals (fasted) had its access to food withdrawn 18 h prior to anesthesia, but had unlimited access to water. The third group of animals (fasted + ns) had their access to food withdrawn 18 h prior to anesthesia, but had unlimited access to water; these rats received three intraperitoneal injections of 1 mL of normal saline (ns): at baseline, and at 60 and 120 min following the start of ischemia. The fourth group of rats (fasted + dextrose) had their access to food withdrawn 18 h prior to anesthesia, but had normal access to water; these rats received three intraperitoneal injections, each of 1 mL, of dextrose dissolved in deionised water (final concentration: 40%, w/v, from now on referred to as DW40%): at baseline, and at 60 and 120 min following the start of ischemia. The fifth group of rats (fed + insulin) were normally fed, but were administered subcutaneous injections of insulin R diluted in normal saline, according to a sliding scale we created for this experiment (glycemia at baseline ≤ 6: 0.5 international units (IU)/kg; > 6 ≤ 7: 1 IU/kg; > 7 ≤ 8: 1.5 IU/kg; > 8 ≤ 9: 2 IU/kg; > 9 ≤ 10: 2.5 IU/kg; because none of the rats had a baseline glycemia > 10, it was not necessary to further extend the insulin sliding scale). The total dose of insulin was administered in two half-doses, the first one immediately following the onset of ischemia, and the second 60 min after induction of ischemia. The maximal volume of insulin administered was 50 μL. The last group of rats (fed + insulin + dextrose) were normally fed and received insulin according to a sliding scale (as group 5), at the same time points. However, they were also administered intraperitoneal DW40% (as group 4), in order to maintain their glycemia above the baseline value.

1.4 Glucose measurements

Glycemic levels were measured with a glucometer FreeStyle mini (Abbott Diabetes Care, Mississauga, Ontario, Canada). Blood was withdrawn from the extremity of the rat tail, from a submillimetric incision, by an observer blinded to treatment. Volume of blood withdrawn varied between 0.3 and 0.5 ml. The glycemia of the rats was regularly monitored during the ischemic period and the first hour of reperfusion. Blood samples were withdrawn at baseline, and then 30, 90, and 150 min after induction of ischemia, as well as 20, 40, and 60 min following reperfusion.

1.5 Mechanical and thermal sensitivity

1.5.1 Hind paw mechano-allodynia

Mechanical allodynia was assessed by measuring the 50% withdrawal response to von Frey filaments, according to a modification of a previously published method32, by an observer blinded to treatment. The animals were placed in Plexiglas® cages with a wire grid bottom. Von Frey filaments (Stoelting, Wood Dale, IL) were applied to the plantar surface of the hind paw for 10 s or less if the rat responded to the stimulus, by withdrawing, flicking, stamping or licking its paw. Filaments were applied in ascending or descending order of strength to determine the filament closest to the response threshold. The minimal stimulus intensity was 0.25 g, whereas the maximal intensity was 15 g.

1.5.2 Hind paw cold allodynia

Cold allodynia was evaluated by exposing the rats’ paw to a drop of acetone, using a modification of a previously published method33, by an observer blinded to treatment. A drop of acetone was applied on the plantar surface of the heel, and the rat’s response was observed for the following 20 s. Normal rats either ignore the stimulus or respond with a rapid, brief withdrawal. The intensity and duration of the rats’ responses to the nociceptive stimulus were scored according to the following rating scale9: 1 = rapid paw flicking, stamping, or shaking, less than 1 s; 2 = repeated paw stamping, shaking, or paw lift less than 3 s; 3 = above behaviors or hind paw licking for more than 3 s. Acetone was applied 3 times over 3 min, and the 3 trials were then averaged.

1.6 Statistical analysis

Glucose levels (mmol/L), paw withdrawal thresholds (g) and acetone scores (nociceptive cold scores) were expressed as mean ± 95% confidence limits. Statistical differences between glycemic values at baseline before ischemia and at six subsequent points in time (i30, i90, i150, r20, r40, and r60; i = ischemia, r = reperfusion) were assessed with Tukey’s post hoc tests following a three-way analysis of variance (ANOVA) (glycemic condition by injury (CPIP or sham CPIP) by time as the repeated factor). Statistical differences between groups, collapsed over time on mechanical and cold allodynia of the ipsilateral and contralateral hind paws were similarly assessed using a mixed model repeated measure ANOVA, and Tukey’s post-hoc tests. Comparisons were considered significant if P < 0.05 (two-tailed tests in all cases). Correlations between glucose levels (averaged over the ischemia, reperfusion or ischemia and reperfusion periods) and von Frey or acetone cold scores (averaged for each subject over the entire behavioural testing period) were calculated using the Spearman rank correlation coefficient (ρ). The coefficients of determinations were obtained using the r of Pearson. Differences between correlation coefficients were assessed using the Z score. Statistics were computed with Statistica (Version 6, Statsoft, Tulsa, OK), and graphs were prepared with GraphPad Prism 5.00 (GraphPad Software, Inc., 2007, La Jolla, CA).

2. Results

2.1 Glycemic measurements

Three way repeated measures ANOVA (see table 1) revealed a non-significant main effects of injury (i.e., sham or CPIP) on glucose level, and main effect analysis indicated that there were no significant differences in the mean glucose levels between the CPIP groups and their sham control groups for the fed animals (6.75 ± 0.40 vs. 6.83 ± 0.57), the fasted + ns animals (4.62 ± 0.46 vs. 4.65 ± 0.57), the fed + insulin animals (5.62 ± 0.42 vs. 5.50 ± 0.44), the fasted + dextrose animals (7.25 ± 0.46 vs. 6.96 ± 0.44), the fed + dextrose + insulin animals (7.66 ± 0.49 vs. 7.65 ± 0.46) and the fasted group (4.75 ± 0.42 vs. 5.42 ± 0.44) (all P > 0.05, Tukey’s tests).

Table 1.

Analysis of Variance Table for Glucose Measurements.

Effect SS df MS F p
Glycemic condition 788.52 5 157.70 54.737 0.000000
Injury 0.28 1 0.28 0.096 0.757888
Condition X Injury 21.34 5 4.27 1.482 0.203222
Error 270.83 94 2.88
Time 22.49 6 3.75 4.303 0.000296
Time X Condition 558.03 30 18.60 21.352 0.000000
Time X Injury 9.52 6 1.59 1.821 0.092723
Time X Condition X Injury 106.00 30 3.53 4.056 0.000000
Error 491.34 564 0.87

Glycemic condition and injury are independent groups factors and time is a repeated factor

df = degrees of freedom; F = F statistic; MS = mean square; p = p value; SS = Sum of squares.

Time course analysis with post hoc pair-wise comparisons, depicted in figure 1 showed that glucose levels were significantly increased over baseline in the fasted + dextrose and fed + dextrose + insulin groups, and significant decreased in the fasted, fasted + ns, and fed + ins groups, at the times indicated by the asterisks in figure 1 (* P < 0.05; ** P < 0.01, Tukey’s test). There were also significant differences in glucose levels between the fed and the fasted groups (†P < 0.01, post-hoc Tukey’s), the fasted + ns and the fasted + dextrose groups (§ P < 0.01), the fed and the fed + insulin groups (‡ P < 0.01), and between the fed + insulin and the fed + dextrose + insulin groups (# P < 0.01) at the times indicated by the above symbols (post hoc Tukey’s). Generally glucose levels varied between glycemic conditions to a greater degree during ischemia than during reperfusion, as documented by the significant glycemic condition by time interaction (see table 1).

Fig. 1.

Fig. 1

Mean (mean ± 95% confidence limits) glucose levels at different time points during the ischemic (i) and reperfusion (r) periods for rats with chronic postischemic pain in the fed (N = 12), fasted (N = 11), fasted + normal saline (NS; N = 11), fasted + dextrose (dex; N = 8), fed + insulin (ins; N = 9) and fed + dex + ins (N = 9) groups. The glucose levels of the fasted animals were lower than the glucose levels of the fed animals throughout the ischemia and reperfusion periods († P < 0.01), as well as lower than their baseline at times indicated by asterisks (* P < 0.05; ** P < 0.01). Dextrose administration to the fasted + dex group increased glucose levels compared to their baseline levels during ischemia (** P < 0.01) and compared to the fasted + NS group throughout the ischemia and reperfusion periods (§ P < 0.01). The fed + dex + ins had significantly higher glucose levels than the fed + ins groups at the times indicated by the symbols (# P < 0.01). Insulin received by the fed + ins group lowered the glucose levels compared to their baseline at times indicated by asterisks (* P < 0.05; ** P < 0.01), or to the fed group during the ischemic period (‡ P < 0.01).

2.2 Mechanical and thermal hypersensitivity

2.2.1 Mechanical thresholds

2.2.1.1 Ipsilateral paw withdrawal thresholds

Generally, CPIP animals developed significantly lower ipsilateral paw withdrawal thresholds (PWTs) than shams. Three way repeated measures ANOVA (see table 2) revealed a significant main effect of injury (i.e., sham or CPIP). Time course analysis with post hoc pairwise comparisons, depicted in figure 2, showed that the ipsilateral PWTs of CPIP rats were lower than sham rats on each testing day for rats in the fed and fasted + dex glycemic conditions, and for four of the six test days for the fed + dex + ins glycemic condition (** P < 0.01, Tukey’s test).

Table 2.

Analysis of Variance Table for Ipsilateral Paw-Withdrawal Thresholds.

Effect SS df MS F p
Glycemic condition 1378.42 5 275.68 13.659 0.000000
Injury 4296.72 1 4296.72 212.882 0.000000
Condition X Injury 548.22 5 109.64 5.432 0.000180
Error 2058.72 102 20.18
Time 158.75 5 31.75 3.645 0.003000
Time X Condition 231.86 25 9.27 1.065 0.380037
Time X Injury 121.44 5 24.29 2.788 0.016978
Time X Condition X Injury 478.93 25 19.16 2.199 0.000801
Error 4442.82 510 8.71

Glycemic condition and injury are independent groups factors and time is a repeated factor.

df = degrees of freedom; F = F statistic; MS = mean square; p = p value; SS = Sum of squares.

Fig. 2.

Fig. 2

Time-course of ipsilateral paw withdrawal thresholds (PWTs) (mean ± 95% confidence limits) for the fed, fasted, fasted + normal saline (NS), fasted + dextrose (dex), fed + insulin (ins) and fed + dex + ins groups. Ipsilateral PWTs of rats with chronic postischemia pain were lower than sham rats on each testing day for rats in the fed and fasted + dex glycemic conditions, and on test days 2–7 and 21 for the fed + dex + ins glycemic condition (** P < 0.01, Tukey’s test)

In order to examine the highly significant glycemic condition X injury interaction (see table 2) we plotted PWTs grouped by glycemic condition and injury averaged over time for the ipsilateral hind paw (fig. 3A) and contralateral hind paw (fig. 3B). Ipsilateral PWTs were significantly lower for CPIP rats compared to shams in five of the six glycemic conditions (i.e., fed, fasted, fasted + dex, fed + ins, fed + dex + ins, but not in the fasted + ns condition (fig. 3A) (* P < 0.05; ** P < 0.01; Tukey’s tests). When comparing CPIP rats across condition, the fed rats exhibited significantly lower PWTs compared to the fasted group (§ P < 0.01), and. the fasted + dextrose group of rats exhibited significantly lower PWTs than fasted + ns rats (# P < 0.01). The fed CPIP rats also showed significantly lower PWTs than did the fed + insulin rats (‡ P < 0.01). The PWTs of the fed + dextrose + insulin group of CPIP rats were significantly lower than those of the fed + insulin group (‡ P < 0.01) (all Tukey’s tests).

Fig. 3.

Fig. 3

Mean (mean ± 95% confidence limits) ispilateral (A) and contralateral (B) paw withdrawal thresholds (PWTs, g) averaged across test days for sham rats (N’s follow each group) and rats with chronic post-ischemia pain (CPIP) (N’s indicated in fig. 1) in the fed (N = 6), fasted (N = 10), fasted + normal saline (NS; N = 10), fasted + dextrose (dex; N = 8), fed + insulin (ins; N = 10) and fed + dex + ins (N = 6) groups. A. For each glycemic treatment, PWTs of CPIP rats were lower than their corresponding sham rats (* P < 0.05, ** P < 0.01). PWTs of CPIP fed rats were significantly lower than those of CPIP fasted rats (§ P < 0.01) or fed + ins rats (‡ P < 0.01). PWTs of CPIP fed + dex + ins rats were significantly lower than those of CPIP fed + ins rats (‡ P < 0.01). PWTs of CPIP fasted + dex rats were also significantly lower than those of CPIP fasted + NS rats (# P < 0.01). B. PWTs of the CPIP rats were significantly lower than shams for only the fed, fasted + dex and fed + dex + ins groups (** P < 0.01). PWTs of the CPIP fed + dex + ins rats were significantly lower than those of CPIP fed + ins rats († P < 0.01) and fed rats (§ P < 0.01). PWTs of the CPIP fasted + dex rats were significantly lower than CPIP fasted + NS rats (#P < 0.01).

2.2.1.2 Contralateral PWTs

CPIP rats generally appeared to exhibit lower contralateral PWTs than shams, with greater effects for the fasted + dex and fed + dex + ins conditions. Three way repeated measures ANOVA (see table 3) revealed a significant main effect of injury (i.e., sham or CPIP). However, time course analysis with post hoc pair-wise comparisons, depicted in figure 4, showed that the contralateral PWTs of CPIP rats were not significantly lower than sham rats on any testing day for rats in all glycemic conditions (Tukey’s test).

Table 3.

Analysis of Variance Table for Contralateral Paw-Withdrawal Thresholds.

Effect SS df MS F p
Glycemic condition 585.16 5 117.03 4.734 0.000626
Injury 1417.38 1 1417.38 57.334 0.000000
Condition X Injury 446.40 5 89.28 3.611 0.004763
Error 2521.59 102 24.72
Time 155.27 5 31.05 3.314 0.005904
Time X Condition 211.74 25 8.47 0.904 0.600716
Time X Injury 49.52 5 9.90 1.057 0.383477
Time X Condition X Injury 243.28 25 9.73 1.038 0.413632
Error 4779.32 510 9.37

Glycemic condition and injury are independent groups factors and time is a repeated factor.

cf = degrees of freedom; F = F statistic; MS = mean square; p = p value; SS = Sum of squares.

Fig. 4.

Fig. 4

Time-course of contralateral paw withdrawal thresholds (PWTs) (mean ± 95% confidence limits) for the fed, fasted, fasted + normal saline (NS), fasted + dextrose (dex), fed + insulin (ins) and fed + dex + ins groups. Contralateral PWTs of rats with chronic postischemia pain were not significantly lower than sham rats on any testing day for rats in all glycemic conditions.

Once again to examine the highly significant glycemic condition X injury interaction (see table 3), we plotted PWTs grouped by glycemic condition and injury averaged over time for the contralateral hind paw (fig. 3B). PWTs were significantly lower for CPIP rats compared to shams in three of the six glycemic conditions (i.e., fasted + dex, fed + ins, fed + dex + ins, but not in the fed, fasted or fasted + ns conditions (* P < 0.05; ** P < 0.01; Tukey’s tests). Although the differences were not as extensive as for ipsilateral PWTs, contralateral PWTs of CPIP rats also differed significantly between glycemic conditions. Thus, the fed + dextrose + insulin group had significantly lower PWTs than the fed + ins group († P < 0.01) and the fed group (§ P < 0.01). The fasted + dextrose group also exhibited significantly lower contralateral PWTs than the fasted + ns group (# P < 0.01) (all Tukey’s test).

As displayed in the scatterplot of ipsilateral PWTs versus glucose levels in figure 5A, relatively hyperglycemic CPIP animals have lower PWTs than relatively hypoglycemic CPIP animals. Indeed, there is a negative correlation (rs = −0.679, P = 0.000019) between the mean PWTs and glucose levels measured during the entire I/R injury period across all groups. Thus, 46.1% of the observed variation in the ipsilateral PWTs depends on glycemia. This negative correlation is also significant when using glucose levels from only the ischemic period (rs = −0.704, P = 0.000022) or from only the reperfusion period (rs = −0.588, P = 0.015), with 49.4% (fig. 5B) and 34.6% (fig. 5C) of the observed variation in ipsilateral PWTs depending on the glycemic levels measured during these periods, respectively. The correlation between PWTs and glucose levels during ischemia is not statistically different than the correlation between PWTs and glucose levels during reperfusion (Z = 0.783, P > 0.05).

Fig. 5.

Fig. 5

Scatterplot illustrating the relationship between ipsilateral paw withdrawal thresholds and glycemia in rats with chronic postischemia pain (CPIP) using glucose levels for the entire I/R injury (A), for only the ischemic period (B) or only the reperfusion period (C). Specific groups in the scatterplot are identified in the symbol legend. For each plot there was a significant negative correlation between the paw withdrawal thresholds and the mean glucose level (mmol/L) during I/R injury for CPIP rats (R2 = coefficient of determination).

2.2.2 Cold scores

2.2.2.1 Ipsilateral cold scores

Generally, CPIP animals developed significantly higher ipsilateral cold scores than shams. Three way repeated measures ANOVA (see table 4) revealed a significant main effect of injury (i.e., sham or CPIP). Time course analysis with post hoc pair-wise comparisons, depicted in figure 6, showed that the ipsilateral cold scores of CPIP rats were higher than sham rats on 3 of the testing day for rats in the fed glycemic condition, and for 2 of the test days for the fasted + dex glycemic condition (Tukey’s test).

Table 4.

Analysis of Variance Table for Ipsilateral Nociceptive Cold Scores.

Effect SS df MS F p
Glycemic condition 39.3596 5 7.8719 9.408 0.000000
Injury 87.5721 1 87.5721 104.656 0.000000
Condition X Injury 13.8772 5 2.7754 3.317 0.008494
Error 76.1453 91 0.8368
Time 22.1783 5 4.4357 14.770 0.000000
Time X Condition 9.8359 25 0.3934 1.310 0.146277
Time X Injury 1.2454 5 0.2491 0.829 0.529180
Time X Condition X Injury 13.4952 25 0.5398 1.797 0.011062
Error 136.6437 455 0.3003

Glycemic condition and injury are independent groups factors and time is a repeated factor.

df = degrees of freedom; F = F statistic; MS = mean square; p = p value; SS = Sum of squares.

Fig. 6.

Fig. 6

Time-course of ipsilateral nociceptive cold scores (mean ± 95% confidence limits) for the fed, fasted, fasted + normal saline (NS), fasted + dextrose (dex), fed + insulin (ins) and fed + dex + ins groups. Ipsilateral cold scores of rats with chronic postischemia pain were higher than sham rats on test days 5, 9, and 12 for rats in the fed glycemic condition, and on test days 7 and 12 for the fasted + dex glycemic condition (** P < 0.01, Tukey’s test).

In order to examine the highly significant glycemic condition X injury interaction (see table 2) we plotted cold scores grouped by glycemic condition and injury averaged over time for the ipsilateral hind paw (fig. 7A) and the contralateral hind paw (fig. 7B). Ipsilateral nociceptive cold scores were significantly higher for CPIP rats compared to shams in three of the six glycemic conditions (i.e., fed, fasted + dex, fed + dex + ins, but not in the fasted, fasted + ns or fed + ins conditions (fig. 7A) (* P < 0.05; ** P < 0.01; Tukey’s tests). When comparing CPIP rats across condition, the CPIP fed group exhibited significantly increased cold scores compared to the CPIP fasted group (‡ P < 0.01). When compared to the fed + insulin group, the fed († P < 0.01) and the fed + dex + ins († P < 0.01) groups exhibited significantly higher cold scores. However, there was no significant difference between the fasted + ns group and the fasted + dextrose group (P > 0.05).

Fig. 7.

Fig. 7

Mean ± 95% confidence limits) ipsilateral (A) and contralateral (B) nociceptive cold scores averaged across test days for sham rats and rats with chronic post-ischemia pain (CPIP) in the fed, fasted, fasted + normal saline (NS), fasted + dextrose (dex), fed + insulin (ins) and fed + dex + ins groups. A. For the fed, fasted + dex and fed + dex + ins glycemic conditions, the ipsilateral nociceptive cold scores were significantly greater in CPIP rats than shams (** P < 0.01). Nociceptive cold scores of CPIP fed rats were significantly higher than those of fasted rats (‡ P < 0.01) and fed + ins rats († P < 0.01), and the cold scores of CPIP fed + dex + ins rats were significantly higher than those of fed + ins rats († P < 0.01). B. The contralateral nociceptive cold scores were significantly greater in CPIP rats than shams only for rats in the fed + dex + ins groups (** P < 0.01). Nociceptive cold scores of CPIP fed + dex + ins rats were also significantly higher than those of CPIP fed + ins rats († P < 0.01) and CPIP fed rats (§ P < 0.01).

2.2.2.2 Contralateral cold scores

CPIP rats generally appeared to exhibit higher contralateral cold scores than shams, with greater effects for the fasted + ns and fed + dex + ins conditions. Three way repeated measures ANOVA (see table 5) revealed a significant main effect of injury (i.e., sham or CPIP). Time course analysis with post hoc pair-wise comparisons, depicted in figure 8, showed that the contralateral PWTs of CPIP rats were significantly higher than sham rats on only one test day for rats in the fasted + ns and fed + dex + ins glycemic conditions (* P < 0.05, ** P < 0.01, Tukey’s test).

Table 5.

Analysis of Variance Table for Contralateral Nociceptive Cold Scores.

Effect SS df MS F p
Glycemic condition 16.2914 5 3.2583 7.7532 0.000004
Injury 15.1510 1 15.1510 36.0524 0.000000
Condition X Injury 4.1897 5 0.8379 1.9939 0.086940
Error 38.2426 91 0.4202
Time 18.1947 5 3.6389 20.1541 0.000000
Time X Condition 7.6965 25 0.3079 1.7051 0.019053
Time X Injury 4.1819 5 0.8364 4.6323 0.000391
Time X Condition X Injury 8.2141 25 0.3286 1.8197 0.009673
Error 82.1529 455 0.1806

Glycemic condition and injury are independent groups factors and time is a repeated factor.

df = degrees of freedom; F = F statistic; MS = mean square; p = p value; SS = Sum of squares.

Fig. 8.

Fig. 8

Time-course of contralateral nociceptive cold scores (mean ± 95% confidence limits) for the fed, fasted, fasted + normal saline (NS), fasted + dextrose (dex), fed + insulin (ins) and fed + dex + ins groups. Contralateral PWTs of rats with chronic postischemia pain were significantly higher than sham rats only on test day 5 for rats in the fasted + ns condition and on test day 21 in the fed + dex + ins glycemic condition (* P < 0.05, ** P < 0.01, Tukey’s test).

Once again we plotted nociceptive cold scores grouped by glycemic condition and injury averaged over time for the contralateral hind paw (fig. 7B). Nociceptive cold scores were significantly higher for CPIP rats compared to shams in only the fed + dex + ins glycemic condition (fig. 3A) (** P < 0.01; Tukey’s tests). Furthermore for CPIP rats, the fed + dextrose + insulin group exhibited significantly higher contralateral cold scores than the fed + insulin group († P < 0.01) and the fed group (§ P < 0.01). There was no significant difference between the contralateral cold scores of the fasted + dextrose group compared to the fasted + ns group (P > 0.05).

As displayed in the plot of ipsilateral cold scores versus glucose levels in figure 9A, relatively hyperglycemic CPIP animals have higher cold scores than relatively hypoglycemic CPIP animals. Thus, there is a positive correlation (rs = 0.490, P = 0.0055) between the mean cold scores and the glucose levels measured during the entire I/R. Thus, 24% of the observed variation in the acetone scores depends on glycemia. This positive correlation is also significant when using glucose levels from only the ischemic period (rs = 0.528, P = 0.0203) or only the reperfusion period (rs = 0.419, P < 0.0222), with 27.9% (fig. 9B) and 17.5% (fig. 9C) of the observed variation in ipsilateral cold responses depending on the glucose levels measured during these periods, respectively. The correlation between ipsilateral cold scores and glucose levels during ischemia is not statistically different than the correlation between ipsilateral cold responses and glucose levels during reperfusion (Z = 0.456, P > 0.05). Consequently, the glycemia present during these two periods similarly influence the ipsilateral cold allodynia exhibited after I/R injury.

Fig. 9.

Fig. 9

Scatterplots illustrating the relationship between ipsilateral nociceptive score and glycemia in rats with chronic postischemia pain (CPIP) using glucose levels for the entire I/R injury (A), for only the ischemic period (B) or only the reperfusion period (C). Specific groups in the scatterplot are identified in the symbol legend. For each period (ischemia and reperfusion), there was a significant positive correlation between the nociceptive cold score and the mean glucose value (mmol/L) during I/R injury for CPIP rats (R2 = coefficient of determination).

3. Discussion

This study has demonstrated that manipulating glycemia during I/R injury significantly influences the degree of allodynia in CPIP rats. Thus, CPIP animals with a higher glucose, such as the normally fed animals and the animals receiving DW40%, exhibited significantly higher mechanical and cold allodynia than the animals with lower glycemic levels, such as the fasted rats and fed rats which were administered insulin. These results strongly suggest a protective role for relative hypoglycemia during I/R injury.

3.1 The effect of glucose on post-ischemia pain

Hyperglycemia can increase oxidative stress by several mechanisms. Thus, in a hyperglycemic state, the production of reactive oxygen species such as the superoxide radical is increased27,34,35. Additionally, the levels of endogenous antioxidants, such as α-tocopherol, are decreased by hyperglycemia3638. Along with oxidative stress, hyperglycemia activates several pro-inflammatory transcription factors, such as nuclear factor κB16, activator protein 117, and early growth response protein 117. The activation of these transcription factors leads to increased production of several proinflammatory mediators, such as cytokines, chemokines, cell adhesion molecules, inflammatory enzymes and some acute phase proteins3942, which amplify the inflammatory process.

Hyperglycemia has previously been shown to increase the levels of proinflammatory mediators in a rat model of cerebral I/R, exacerbating the ischemic insult39. Thus, it is possible that hyperglycemic rats in our study suffered from an increased ischemic insult, the burden of which was added to the oxidative and inflammatory states. Although the relative contribution of these three pathological phenomena is yet to be determined, their increases are likely to explain the enhanced cold and mechanical allodynia we observed.

Another potential contributory mechanism which could have led to altered pain threshold in hyperglycemic rats could be related to thrombotic phenomena. Hence, glucose plays a role in the activation of a cascade ultimately leading the production of tissue factor, which creates a prothrombotic state4346. Thus, increasing thrombotic susceptibility in a context of increased oxidative and inflammatory stresses can lead to a vicious circle exacerbating ischemic injury.

An additional mechanism by which hyperglycemia can lead to an alteration in pain threshold could lie in an up-regulation of the kinin B1 receptor, the levels of which were demonstrated to increase in a rat model of insulin resistance47. Kinins are proinflammatory mediators of pain associated with nociception48, and the B1 receptor is involved in inflammatory responses leading to hyperalgesia49,50.

3.2 The effect of insulin on postischemia pain

Fed animals which were administered insulin have less allodynia than the fed animals that did not receive insulin. Additionally, fed animals that received both DW40% and insulin exhibited more allodynia than the fed animals that received insulin without DW40%. The difference in pain thresholds for the latter two groups, could be due to two factors. By lowering glycemia, insulin could counteract the oxidative, inflammatory, and thrombotic cascades which occur during a hyperglycemic state, or alternatively insulin could itself exert intrinsic antiinflammatory, antioxidative, and antithrombotic effects17,22,5156. However, considering that insulin was administered to these two groups according to the same sliding scale, and that the only variable changed was the supplemental dextrose (which clearly increased blood glucose), the results support the hypothesis that insulin administration per se is not as protective as lowering glycemic levels.

3.4 Contralateral effects

Significant contralateral allodynia has been described for the normally fed CPIP animals9 and in various models of neuropathic and inflammatory pain57. The accepted explanation for these contralateral effects is central sensitisation caused by the peripheral activation of C-afferent nociceptive fibres which modify the functional response of the spinal cord neurons to other inputs applied after the conditioning input58. Interestingly, in our experiments, the fed + dextrose + insulin CPIP rats exhibited significantly lower PWTs and higher cold scores on the contralateral side than fed CPIP rats, which suggests that central sensitization was more prominent in these rats. To explain this observation, we hypothesize that hyperglycemia associated with the administration of dextrose leads to more a significant ischemic injury and increased central inputs, which in turn increase central sensitisation. A second possibility (although unsupported by previous literature) is that dextrose itself has central effects which enhance pain facilitation.

3.5 Potential clinical applications

The observation that glycemic modulation affects postischemia pain has clinical implications, especially in the operating room. Post-ischemia pain and painful syndromes such as complex regional pain syndrome type-I can theoretically follow any surgical procedure or trauma involving prolonged ischemia, such as open reduction and internal fixation of fractures, arthroscopic surgery, etc. The occurrence and chronicity of postischemia pain could potentially be significantly reduced by intra-operative maintenance of strict glycemic control, potentially by an insulin infusion as patients are normally already fasting before a surgery, keeping in mind, of course, the deleterious effects of severe hypoglycemia. It is also tempting to extrapolate that dextrose infusions during a surgical procedure may contribute to postoperative pain, and should therefore be avoided if possible.

4. Concluding remarks

Our investigations point to a critical role of glycemia in CPIP, with significantly increased pain sensitivity when animals have higher glycemic levels at the time of the injury, and significantly lower pain sensitivity when animals have lower glycemic levels at the time of the injury, whether this is achieved by fasting or by insulin administration. As mentioned in the discussion, we believe that the prooxidative, inflammatory, and thrombotic properties of hyperglycemia play a critical role in leading to enhanced allodynic/hyperalgesic states. Of interest, our results demonstrate that higher glycemic levels at the time of I/R injury also lead to enhanced pain sensitivity in the contralateral limb, suggesting that hyperglycemia might play a role in the development of central sensitisation. Our results might lead to several interesting clinical applications, most notably in the surgical field. Hence, it is tempting to extrapolate that maintaining strict glycemic levels during a surgical procedure might lead to a reduction in postsurgical pain.

Acknowledgments

The authors would like to thank Réjean Huot, M.A., Retired Professor, Department of Psychology, Limoilou College and Laval University, Quebec City, Quebec, Canada, for his help with the statistical analysis of the results, Philippe Huot, M.D., M.Sc., F.R.C.P.(C.), D.A.B.P.N., Post-doctoral Fellow, Toronto Western Research Institute, University Health Network, Toronto, Ontario, Canada, for reviewing the article and Karen Brown, M.D., F.R.C.P.(C.), Professor, Department of Anesthesia, Montreal Children’s Hospital, McGill University Health Center, for her useful suggestions.

Funding and support sources: Grants from the Canadian Institutes of Health Research (#MOP 53246, Ottawa, Ontario, Canada), NSERC (#RGPIN 194525-09, Ottawa, Ontario, Canada), and the Louise and Alan Edwards Foundation (Montreal, Quebec, Canada) to T.J.C. M.C.R.H. was supported by a Ronald Melzack post-doctoral fellowship from the Louise and Alan Edwards Foundation and a Rachel Tobias pain research young investigator award from the Reflex Sympathetic Dystrophy Syndrome Association (Milford, Connecticut). Salary support for T.J.C and T.S. was provided from institutional sources, and to A.L. and M.K. from the above grants.

References

  • 1.Li C, Jackson RM. Reactive species mechanisms of cellular hypoxia-reoxygenation injury. Am J Physiol Cell Physiol. 2002;282:C227–41. doi: 10.1152/ajpcell.00112.2001. [DOI] [PubMed] [Google Scholar]
  • 2.de Groot H, Rauen U. Ischemia-reperfusion injury: Processes in pathogenetic networks: A review. Transplant Proc. 2007;39:481–4. doi: 10.1016/j.transproceed.2006.12.012. [DOI] [PubMed] [Google Scholar]
  • 3.Gute DC, Ishida T, Yarimizu K, Korthuis RJ. Inflammatory responses to ischemia and reperfusion in skeletal muscle. Mol Cell Biochem. 1998;179:169–87. doi: 10.1023/a:1006832207864. [DOI] [PubMed] [Google Scholar]
  • 4.Callum K, Bradbury A. ABC of arterial and venous disease: Acute limb ischaemia. BMJ. 2000;320:764–7. doi: 10.1136/bmj.320.7237.764. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Sherman OH, Fox JM, Snyder SJ, Del Pizzo W, Friedman MJ, Ferkel RD, Lawley MJ. Arthroscopy--“no-problem surgery”: An analysis of complications in two thousand six hundred and forty cases. J Bone Joint Surg Am. 1986;68:256–65. [PubMed] [Google Scholar]
  • 6.Berga F, Canosa M, Crespo F, Dzekonski J. Effect of ischemic tourniquet pressure on the instensity of postoperative pain. Rev Esp Anestesiol Reanim. 2002;49:131–5. [PubMed] [Google Scholar]
  • 7.Kam PC, Kavanagh R, Yoong FF. The arterial tourniquet: Pathophysiological consequences and anaesthetic implications. Anaesthesia. 2001;56:534–45. doi: 10.1046/j.1365-2044.2001.01982.x. [DOI] [PubMed] [Google Scholar]
  • 8.Kragh JF, Jr, Baer DG, Walters TJ. Extended (16-hour) tourniquet application after combat wounds: A case report and review of the current literature. J Orthop Trauma. 2007;21:274–8. doi: 10.1097/BOT.0b013e3180437dd9. [DOI] [PubMed] [Google Scholar]
  • 9.Coderre TJ, Xanthos DN, Francis L, Bennett GJ. Chronic post-ischemia pain (CPIP): A novel animal model of complex regional pain syndrome-type I (CRPS-I; reflex sympathetic dystrophy) produced by prolonged hindpaw ischemia and reperfusion in the rat. Pain. 2004;112:94–105. doi: 10.1016/j.pain.2004.08.001. [DOI] [PubMed] [Google Scholar]
  • 10.Korthuis RJ, Granger DN, Townsley MI, Taylor AE. The role of oxygen-derived free radicals in ischemia-induced increases in canine skeletal muscle vascular permeability. Circ Res. 1985;57:599–609. doi: 10.1161/01.res.57.4.599. [DOI] [PubMed] [Google Scholar]
  • 11.Kennedy TJ, Miller SH, Nellis SH, Buck D, Flaim SF, Graham WP, 3rd, Davis TS. Effects of transient ischemia on nutrient flow and arteriovenous shunting in canine hindlimb. Ann Surg. 1981;193:255–63. doi: 10.1097/00000658-198103000-00001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Harris AG, Steinbauer M, Leiderer R, Messmer K. Role of leukocyte plugging and edema in skeletal muscle ischemia-reperfusion injury. Am J Physiol. 1997;273:H989–96. doi: 10.1152/ajpheart.1997.273.2.H989. [DOI] [PubMed] [Google Scholar]
  • 13.Laferrière A, Millecamps M, Xanthos DN, Xiao WH, Siau C, De Mos M, Sachot C, Ragavendran JV, Huygen FJ, Bennett GJ, Coderre TJ. Cutaneous tactile allodynia associated with microvascular dysfunction in muscle. Mol Pain. 2008;4:49. doi: 10.1186/1744-8069-4-49. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.de Mos M, Laferriere A, Millecamps M, Pilkington M, Sturkenboom MC, Huygen FJ, Coderre TJ. Role of NFkappaB in an animal model of complex regional pain syndrome-type I (CRPS-I) J Pain. 2009;10:1161–9. doi: 10.1016/j.jpain.2009.04.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Xanthos DN, Bennett GJ, Coderre TJ. Norepinephrine-induced nociception and vasoconstrictor hypersensitivity in rats with chronic post-ischemia pain. Pain. 2008;137:640–51. doi: 10.1016/j.pain.2007.10.031. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Aljada A, Friedman J, Ghanim H, Mohanty P, Hofmeyer D, Chaudhuri A, Dandona P. Glucose ingestion induces an increase in intranuclear nuclear factor kappaB, a fall in cellular inhibitor kappaB, and an increase in tumor necrosis factor alpha messenger RNA by mononuclear cells in healthy human subjects. Metabolism. 2006;55:1177–85. doi: 10.1016/j.metabol.2006.04.016. [DOI] [PubMed] [Google Scholar]
  • 17.Aljada A, Ghanim H, Mohanty P, Syed T, Bandyopadhyay A, Dandona P. Glucose intake induces an increase in activator protein 1 and early growth response 1 binding activities, in the expression of tissue factor and matrix metalloproteinase in mononuclear cells, and in plasma tissue factor and matrix metalloproteinase concentrations. Am J Clin Nutr. 2004;80:51–7. doi: 10.1093/ajcn/80.1.51. [DOI] [PubMed] [Google Scholar]
  • 18.Van den Berghe G. How does blood glucose control with insulin save lives in intensive care? J Clin Invest. 2004;114:1187–95. doi: 10.1172/JCI23506. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Esposito K, Nappo F, Marfella R, Giugliano G, Giugliano F, Ciotola M, Quagliaro L, Ceriello A, Giugliano D. Inflammatory cytokine concentrations are acutely increased by hyperglycemia in humans: Role of oxidative stress. Circulation. 2002;106:2067–72. doi: 10.1161/01.cir.0000034509.14906.ae. [DOI] [PubMed] [Google Scholar]
  • 20.Scherrer U, Randin D, Vollenweider P, Vollenweider L, Nicod P. Nitric oxide release accounts for insulin’s vascular effects in humans. J Clin Invest. 1994;94:2511–5. doi: 10.1172/JCI117621. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Dandona P, Mohanty P, Chaudhuri A, Garg R, Aljada A. Insulin infusion in acute illness. J Clin Invest. 2005;115:2069–72. doi: 10.1172/JCI26045. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Aljada A, Ghanim H, Mohanty P, Kapur N, Dandona P. Insulin inhibits the pro-inflammatory transcription factor early growth response gene-1 (Egr)-1 expression in mononuclear cells (MNC) and reduces plasma tissue factor (TF) and plasminogen activator inhibitor-1 (PAI-1) concentrations. J Clin Endocrinol Metab. 2002;87:1419–22. doi: 10.1210/jcem.87.3.8462. [DOI] [PubMed] [Google Scholar]
  • 23.Aljada A, Ghanim H, Saadeh R, Dandona P. Insulin inhibits NFkappaB and MCP-1 expression in human aortic endothelial cells. J Clin Endocrinol Metab. 2001;86:450–3. doi: 10.1210/jcem.86.1.7278. [DOI] [PubMed] [Google Scholar]
  • 24.van den Berghe G, Wouters P, Weekers F, Verwaest C, Bruyninckx F, Schetz M, Vlasselaers D, Ferdinande P, Lauwers P, Bouillon R. Intensive insulin therapy in the critically ill patients. N Engl J Med. 2001;345:1359–67. doi: 10.1056/NEJMoa011300. [DOI] [PubMed] [Google Scholar]
  • 25.Chaudhuri A, Janicke D, Wilson MF, Tripathy D, Garg R, Bandyopadhyay A, Calieri J, Hoffmeyer D, Syed T, Ghanim H, Aljada A, Dandona P. Anti-inflammatory and pro-fibrinolytic effect of insulin in acute ST-elevation myocardial infarction. Circulation. 2004;109:849–54. doi: 10.1161/01.CIR.0000116762.77804.FC. [DOI] [PubMed] [Google Scholar]
  • 26.Hirose R, Xu F, Dang K, Liu T, Behrends M, Brakeman PR, Wiener-Kronish J, Niemann CU. Transient hyperglycemia affects the extent of ischemia-reperfusion-induced renal injury in rats. Anesthesiology. 2008;108:402–14. doi: 10.1097/ALN.0b013e318164cff8. [DOI] [PubMed] [Google Scholar]
  • 27.Bémeur C, Ste-Marie L, Desjardins P, Butterworth RF, Vachon L, Montgomery J, Hazell AS. Expression of superoxide dismutase in hyperglycemic focal cerebral ischemia in the rat. Neurochem Int. 2004;45:1167–74. doi: 10.1016/j.neuint.2004.06.010. [DOI] [PubMed] [Google Scholar]
  • 28.Piercy V. Thermal, but not mechanical, nociceptive behavior is altered in the Zucker Diabetic Fatty rat and is independent of glycemic status. J Diab Comp. 1999;13:163–9. doi: 10.1016/s1056-8727(99)00034-3. [DOI] [PubMed] [Google Scholar]
  • 29.Zhuang HX, Wuarin L, Fei ZJ, Ishii DN. Insulin-like growth factor (IGF) gene expression is reduced in neural tissues and liver from rats with non-insulin-dependent diabetes mellitus, and IGF treatment ameliorates diabetic neuropathy. J Pharmacol Exp Ther. 1997;283:366–74. [PubMed] [Google Scholar]
  • 30.Zhuang HX, Snyder CK, Pu SF, Ishii DN. Insulin-like growth factors reverse or arrest diabetic neuropathy: Effects on hyperalgesia and impaired nerve regeneration in rats. Exp Neurol. 1996;140:198–205. doi: 10.1006/exnr.1996.0129. [DOI] [PubMed] [Google Scholar]
  • 31.Zimmerman M. Ethical guidelines for investigations of experimental pain in conscious animals. Pain. 1983;16: 109–10. doi: 10.1016/0304-3959(83)90201-4. [DOI] [PubMed] [Google Scholar]
  • 32.Chaplan SR, Bach FW, Pogrel JW, Chung JM, Yaksh TL. Quantitative assessment of tactile allodynia in the rat paw. J Neurosci Methods. 1994;53:55–63. doi: 10.1016/0165-0270(94)90144-9. [DOI] [PubMed] [Google Scholar]
  • 33.Choi Y, Yoon YW, Na HS, Kim SH, Chung JM. Behavioral signs of ongoing pain and cold allodynia in a rat model of neuropathic pain. Pain. 1994;59:369–76. doi: 10.1016/0304-3959(94)90023-X. [DOI] [PubMed] [Google Scholar]
  • 34.Hiramatsu K, Arimori S. Increased superoxide production by mononuclear cells of patients with hypertriglyceridemia and diabetes. Diabetes. 1988;37:832–7. doi: 10.2337/diab.37.6.832. [DOI] [PubMed] [Google Scholar]
  • 35.Koppenol WH. The basic chemistry of nitrogen monoxide and peroxynitrite. Free Radic Biol Med. 1998;25:385–91. doi: 10.1016/s0891-5849(98)00093-8. [DOI] [PubMed] [Google Scholar]
  • 36.Graier WF, Simecek S, Hoebel BG, Wascher TC, Dittrich P, Kostner GM. Antioxidants prevent high-D-glucose-enhanced endothelial Ca2+/cGMP response by scavenging superoxide anions. Eur J Pharmacol. 1997;322:113–22. doi: 10.1016/s0014-2999(96)00989-2. [DOI] [PubMed] [Google Scholar]
  • 37.Timimi FK, Ting HH, Haley EA, Roddy MA, Ganz P, Creager MA. Vitamin C improves endothelium-dependent vasodilation in patients with insulin-dependent diabetes mellitus. J Am Coll Cardiol. 1998;31:552–7. doi: 10.1016/s0735-1097(97)00536-6. [DOI] [PubMed] [Google Scholar]
  • 38.Mohanty P, Hamouda W, Garg R, Aljada A, Ghanim H, Dandona P. Glucose challenge stimulates reactive oxygen species (ROS) generation by leucocytes. J Clin Endocrinol Metab. 2000;85:2970–3. doi: 10.1210/jcem.85.8.6854. [DOI] [PubMed] [Google Scholar]
  • 39.Baowan L, Ginsberg MD, Bustor R, Lin L. Hyperglycemia triggers massive neutrophil deposition in brain following transient ischemia in rats. Neurosci Lett. 2000;278:1–4. doi: 10.1016/s0304-3940(99)00889-7. [DOI] [PubMed] [Google Scholar]
  • 40.Maltzman JS, Carmen JA, Monroe JG. Transcriptional regulation of the Icam-1 gene in antigen receptor- and phorbol ester-stimulated B lymphocytes: role for transcription factor EGR1. J Exp Med. 1996;183:1747–59. doi: 10.1084/jem.183.4.1747. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Marfella R, Esposito K, Giunta R, Coppola G, De Angelis L, Farzati B, Paolisso G, Giugliano D. Circulating adhesion molecules in humans: Role of hyperglycemia and hyperinsulinemia. Circulation. 2000;101:2247–51. doi: 10.1161/01.cir.101.19.2247. [DOI] [PubMed] [Google Scholar]
  • 42.Booth G, Stalker TJ, Lefer AM, Scalia R. Elevated ambient glucose induces acute inflammatory events in the microvasculature: effects of insulin. Am J Physiol Endocrinol Metab. 2001;280:E848–56. doi: 10.1152/ajpendo.2001.280.6.E848. [DOI] [PubMed] [Google Scholar]
  • 43.Khachigian LM, Lindner V, Williams AJ, Collins T. Egr-1-induced endothelial gene expression: A common theme in vascular injury. Science. 1996;271:1427–31. doi: 10.1126/science.271.5254.1427. [DOI] [PubMed] [Google Scholar]
  • 44.Verde P, Boast S, Franzè A, Robbiati F, Blasi F. An upstream enhancer and a negative element in the 5′ flanking region of the human urokinase plasminogen activator gene. Nucleic Acids Res. 1988;16:10699–716. doi: 10.1093/nar/16.22.10699. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.McCaffrey TA, Fu C, Du B, Eksinar S, Kent KC, Bush H, Jr, Kreiger K, Rosengart T, Cybulsky MI, Silverman ES, Collins T. High-level expression of Egr-1 and Egr-1-inducible genes in mouse and human atherosclerosis. J Clin Invest. 2000;105:653–62. doi: 10.1172/JCI8592. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Petersen LC, Freskgård P, Ezban M. Tissue factor-dependent factor VIIa signaling. Trends Cardiovasc Med. 2000;10:47–52. doi: 10.1016/s1050-1738(00)00041-4. [DOI] [PubMed] [Google Scholar]
  • 47.Dias JP, Ismael MA, Pilon M, de Champlain J, Ferrari B, Carayon P, Couture R. The kinin B1 receptor antagonist SSR240612 reverses tactile and cold allodynia in an experimental rat model of insulin resistance. Br J Pharmacol. 2007;152:280–7. doi: 10.1038/sj.bjp.0707388. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Couture R, Harrisson M, Vianna RM, Cloutier F. Kinin receptors in pain and inflammation. Eur J Pharmacol. 2001;429:161–76. doi: 10.1016/s0014-2999(01)01318-8. [DOI] [PubMed] [Google Scholar]
  • 49.Campos MM, Cabrini DA, Cardozo AH, Rae GA, Toro JH, Calixto JB. Changes in paw oedema triggered via bradykinin B1 and B2 receptors in streptozotocin-diabetic rats. Eur J Pharmacol. 2001;416:169–77. doi: 10.1016/s0014-2999(01)00883-4. [DOI] [PubMed] [Google Scholar]
  • 50.Mage M, Pecher C, Neau E, Cellier E, Dos Reiss ML, Schanstra JP, Couture R, Bascands JL, Girolami JP. Induction of B1 receptors in streptozotocin diabetic rats: Possible involvement in the control of hyperglycemia-induced glomerular Erk 1 and 2 phosphorylation. Can J Physiol Pharmacol. 2002;80:328–33. doi: 10.1139/y02-024. [DOI] [PubMed] [Google Scholar]
  • 51.Dhindsa S, Tripathy D, Mohanty P, Ghanim H, Syed T, Aljada A, Dandona P. Differential effects of glucose and alcohol on reactive oxygen species generation and intranuclear nuclear factor-kappaB in mononuclear cells. Metabolism. 2004;53:330–4. doi: 10.1016/j.metabol.2003.10.013. [DOI] [PubMed] [Google Scholar]
  • 52.Dandona P, Chaudhuri A, Ghanim H, Mohanty P. Anti-inflammatory effects of insulin and pro-inflammatory effects of glucose: Relevance to the management of acute myocardial infarction and other acute coronary syndromes. Rev Cardiovasc Med. 2006;7(Suppl 2): S25–34. [PubMed] [Google Scholar]
  • 53.Dandona P, Aljada A, Mohanty P, Ghanim H, Hamouda W, Assian E, Ahmad S. Insulin inhibits intranuclear nuclear factor kappaB and stimulates IkappaB in mononuclear cells in obese subjects: Evidence for an anti-inflammatory effect? J Clin Endocrinol Metab. 2001;86:3257–65. doi: 10.1210/jcem.86.7.7623. [DOI] [PubMed] [Google Scholar]
  • 54.Aljada A, Saadeh R, Assian E, Ghanim H, Dandona P. Insulin inhibits the expression of intercellular adhesion molecule-1 by human aortic endothelial cells through stimulation of nitric oxide. J Clin Endocrinol Metab. 2000;85:2572–5. doi: 10.1210/jcem.85.7.6677. [DOI] [PubMed] [Google Scholar]
  • 55.Babior BM. The respiratory burst oxidase. Adv Enzymol Relat Areas Mol Biol. 1992;65:49–95. doi: 10.1002/9780470123119.ch2. [DOI] [PubMed] [Google Scholar]
  • 56.Zeng G, Quon MJ. Insulin-stimulated production of nitric oxide is inhibited by wortmannin: Direct measurement in vascular endothelial cells. J Clin Invest. 1996;98:894–8. doi: 10.1172/JCI118871. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Koltzenburg M, Wall PD, McMahon SB. Does the right side know what the left is doing? Trends Neurosci. 1999;22:122–7. doi: 10.1016/s0166-2236(98)01302-2. [DOI] [PubMed] [Google Scholar]
  • 58.Woolf CJ, Wall PD. Relative effectiveness of C primary afferent fibers of different origins in evoking a prolonged facilitation of the flexor reflex in the rat. J Neurosci. 1986;6:1433–42. doi: 10.1523/JNEUROSCI.06-05-01433.1986. [DOI] [PMC free article] [PubMed] [Google Scholar]

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