| Literature DB >> 22708778 |
Gamal Badr1, Badr M Badr, Mohamed H Mahmoud, Mohamed Mohany, Danny M Rabah, Olivier Garraud.
Abstract
BACKGROUND: Continuous diabetes-associated complications are a major source of immune system exhaustion and an increased incidence of infection. Diabetes can cause poor circulation in the feet, increasing the likelihood of ulcers forming when the skin is damaged and slowing the healing of the ulcers. Whey proteins (WPs) enhance immunity during childhood and have a protective effect on some immune disorders. Therefore, in this study, we investigated the effects of camel WP on the healing and closure of diabetic wounds in a streptozotocin (STZ)-induced type I diabetic mouse model.Entities:
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Year: 2012 PMID: 22708778 PMCID: PMC3676145 DOI: 10.1186/1471-2172-13-32
Source DB: PubMed Journal: BMC Immunol ISSN: 1471-2172 Impact factor: 3.615
Sequences of primers used for RT-PCR
| MIP-1α | (F) 5’-GCCCTTGCTGTTCTTCTCTGT-3’ | 258 |
| | (R) 5’-GGCATTCAGTTCCAGGTCAGT-3’ | |
| MIP-2 | (F) 5’-GAACAAAGGCAAGGCTAACTGA-3’ | 204 |
| | (R) 5’-AACATAACAACATCTGGGCAAT-3’ | |
| KC | (F) 5’-GTGTCCCCAAGTAACGGAGA-3’ | 317 |
| | (R) 5’-TGCACTTCTTTTCGCACAAC-3’ | |
| CX3CLI | (F) 5’GTTGGCTCCTGAGAGTGAGG-3’ | 301 |
| | (R) 5’-CAAAATGGCACAGACATTGG-3’ | |
| TGF-β1 | (F) 5’-CGGGGCGACCTGGGCACCATCCATGAC-3’ | 405 |
| | (R) 5’-CTGCTCCACCTTGGGCTTGCGACCCA-3’ | |
| β-actin | (F) 5’-TTCTACAATGAGCTGCGTGTGGC-3’ | 456 |
| (R) 5’-CTCATAGCTCTTCTCCAGGGAGGA |
(F), Forward primer; (R), reverse primer.
Figure 1Macroscopic changes at skin excisional wound sites. Changes in the percentage of wound closure at each time point compared with the original wound area (day 0) is shown. Accumulated data from 10 individual mice in each group is expressed as the mean percentage of wound closure ± SEM at each time point.
Blood glucose and insulin levels
| Day 0 | 120 ± 11 | 360 ± 11.7* | 280 ± 11.4 + # |
| Day 7 | 148 ± 13.8 | 370 ± 9.9* | 301 ± 10.4 + # |
| Day 10 | 129 ± 11.6 | 345 ± 8.5* | 280 ± 11.2 + # |
| Day 13 | 151 ± 12.4 | 377 ± 7.9* | 257 ± 9.4 + # |
| | |||
| Day 0 | 4 ± 0.35 | 1.1 ± 0.2 | 2.4 ± 0.22 + # |
| Day 7 | 4.5 ± 0.4 | 1.9 ± 0.18 | 2.7 ± 0.19 + # |
| Day 10 | 3.9 ± 0.33 | 2.1 ± 0.2 | 2.2 ± 0.2+ |
| Day 13 | 5 ± 0.45 | 1.5 ± 0.12 | 3 ± 0.25 + # |
*P < 0.05 Diabetic vs control.
‡ P < 0.005 Diabetic + WP vs control.
# P < 0.05 Diabetic + WP vs diabetic.
The levels of blood glucose and insulin were monitored at the indicated time points post-injury. Representative results of 10 individual mice from each group are shown as the mean ± SEM. *P < 0.05, diabetic vs. control; +P < 0.05, diabetic + WP vs. control; #P < 0.05, diabetic + WP vs. diabetic (ANOVA with Tukey’s post-test).
Figure 2Profile of pro- and anti-inflammatory cytokines in wound area. The levels of pro-inflammatory cytokines (TNF-α, IL-1β and IL-6) and an anti-inflammatory cytokine (IL-10) were measured by ELISA in the wound tissues from the 3 groups of mice before wounding (Day 0) and on the indicated days post-wounding. The results are expressed as the mean ± SEM. *P < 0.05, diabetic vs. control; +P < 0.05, diabetic + WP vs. control; #P < 0.05, diabetic + WP vs. diabetic (ANOVA with Tukey’s post-test).
Figure 3Analysis of inflammatory chemokines, CX3CL1 and TGF-β1 in wound tissues. Inflammatory chemokines, CX3CL1 and TGF-β1 were detected in non-wounded (Day 0) and wounded (4, 7, 10 and 13 days) skin of the same animals in the 3 groups of mice. (A-E) Representative RT-PCR results from three independent experiments with three animals per group are shown. (B) The ratios of RT-PCR signals for the indicated effectors to β-actin were calculated. Values represent the mean ± SEM. *P < 0.05, diabetic vs. control; +P < 0.05, diabetic + WP vs. control; #P < 0.05, diabetic + WP vs. diabetic (ANOVA with Tukey’s post-test).