Modulatory effects of Moringa oleifera leaf extract on sodium nitrate-induced experimental colitis via regulation of P53, Ki-67 and PCNA biomarkers

BACKGROUND

Ulcerative colitis is a risk factor for colorectal carcinoma. Different mechanisms are related to colitis like apoptosis and hyperproliferation. Moringa oleifera leaves extract (MO) provides a promising option to overcome the risk.

PURPOSE

To examine the colonic changes in a rat model of colitis induced by sodium nitrate (SN) and study the effects of MO.

STUDY DESIGN

Eight adult male rats were allocated in each of the three group; control (distilled water), SN (100 mg/kg/day, orally via gastric gavage), and SN + MO (100 mg/kg/day, orally via gastric gavage).

METHODS

Body weight was measured after the end of the experiment. Colonic homogenates were tested for levels of oxidative stress indicators. Immunohistochemistry for P53, PCNA and Ki-67 was performed. Fresh colon specimens were used for quantitative real-time PCR for assessment of P53, PCNA and Ki-67 gene expression.

RESULTS

SN group revealed a significant decreased weight (p = 0.002). MDA and NO levels were higher with SN administration than with MO co-administration (p= 0.04, 0.01 respectively). GSH level was reduced in SN group (p = 0.02) and significantly increased with MO intake (p = 0.04). SN-induced colonic destructive changes were reversed with MO. P53, PCNA and Ki-67 levels of gene expression were reduced in SN + MO group than SN group (P = 0.007, 0.02, 0.001 respectively).

CONCLUSION

MO protected the colonic mucosa against SN-induced changes regulating apoptosis, and cell proliferation.

Utility of diffusion tensor imaging in differentiating benign from malignant hepatic focal lesions

OBJECTIVES

To assess the diagnostic accuracy of diffusion tensor imaging (DTI) in the characterization of hepatic focal lesions (HFLs) and compare it to diffusion-weighted imaging (DWI).

METHODS

Prospective analysis was done for 49 patients (23 male and 26 female) with 74 HFLs who underwent dynamic MRI, DWI, and DTI. Apparent diffusion coefficient (ADC) values from DWI, fractional anisotropy (FA) values, and mean diffusivity (MD) values from DTI were measured by two independent radiologists. HFLs were classified into benign and malignant HFLs; the latter were subdivided into HCC and non-HCC lesions. Binary logistic regression was performed to analyze the associations between the DTI parameters and the distinction of malignant lesions.

RESULTS

The ADC, MD, and FA at cutoff values of ≤ 1.17 × 10^-3 mm²/s, ≤ 1.71 × 10^-3 mm²/s, and > 0.29, respectively, are excellent discriminators for differentiating malignant and benign HFLs. The mean ADC and MD values of hemangiomas were significantly higher than HCC and non-HCC malignant lesions. In contrast, the mean FA values of hemangiomas were significantly lower than those of non-HCC malignant lesions and HCCs. The ADC and MD were very good discriminators at cutoff values of > 1.03 × 10^-3 mm²/s and > 1.12 × 10^-3 mm²/s, respectively. The FA at a cutoff value > 0.38 is an excellent discriminator for HCC versus non-HCC malignant lesions. Only FA value > 0.38 was a statistically significant independent predictor of HCC versus non-HCC lesions among the three parameters. There was an excellent inter-observer agreement with ICC > 0.9.

CONCLUSION

MD and FA of DTI are non-invasive, very good, and excellent discriminators superior to ADC measured by DWI for the differentiation of HFLs.

KEY POINTS

• The ADC, MD, and FA at cutoff values of ≤ 1.17 × 10^-3 mm²/s, ≤ 1.71 × 10^-3 mm²/s, and > 0.29, respectively, are excellent discriminators for differentiating malignant and benign HFLs. • The mean ADC and MD values of hemangiomas were significantly higher than those of HCC and non-HCC malignant lesions. In contrast, the mean FA values of hemangiomas were significantly lower than those of non-HCC malignant lesions and HCCs, respectively. • Multivariate regression analysis revealed that only FA value > 0.38 was a statistically significant independent predictor of HCC vs. non-HCC lesions. A lesion with FA > 0.38 has 34 times higher odds of being HCC rather than non-HCC lesions.