Background: Reducing the healing time of wounds can decrease the patient`s immobility time and their medical costs,leading a faster return of the patients to daily work. Objective: To compare the effect of adipose-derived stem cells and curcumin-containing liposomal nanoparticles with phenytoin on wound healing. Method: After anesthesia of the rats, open skin ulcers were made by a bistoury blade.Subsequently,stem cells were re-moved from the adipose tissue of theupper border of the epididymis. Then,the originality of stem cells was confirmed by the flow cytometry. The fusion method was used to prepare the liposome;and also nanoliposomal particles wereconfirmedby using the DLS microscope.The percentage of recovery and the cell count was measured with IMAGEJ.The expression of genes was assessed by PCR. The number of fibro blasts was counted by immuno histo chemistry techniques.The amount of collagen was determined by Tri-chromosome staining and the number of capillaries was enumerated byH & E staining. Results: The expression of TGF-β1 gene, vascular number, wound healing rate and the numberof fibroblasts increased significantly in adipose tissue-derived stem cells and curcumin nanoliposome groups(p<0.05);the wound surface was also decreased significantly(p<0.05). Conclusion: Based on the results of our research, adipose tissue-derived stem cells and curcumin nanoliposomescan heal wounds efficiently.

Objectives: This study aimed to measure upper and lower limb dimensions among female students of Tehran University of Medical Sciences and determine the relationship between brachial and crural indices as anthropometric indices of limbs and Body Mass Index (BMI). Methods: In this descriptive-cross-sectional study, anthropometric parameters of the upper and lower limbs were evaluated among 200 Iranian female student volunteers aged 18-38 with no physical or developmental deformity. Results: The collected data were analyzed by GraphPad Prism software. Pearson correlation and simple linear regression tests were used to find the relationship between measured anthropometric indices. Mean± Standard deviation (SD) of age and BMI were 23.65 ± 4.97 and 24.59± 4.14, respectively. The brachial and crural indices were 89.47± 9.352 and 76.37± 5.320, respectively. No statistically significant association was found between brachial and crural indices and BMI. In addition, we found a significant positive correlation between wrist dimensions and BMI. The results of the present article determined the relationship between BMI and anthropometric parameters of the upper and lower limbs. Conclusions: Our findings supported the close relationship between wrist dimension and BMI.

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