Erythrocyte morphology automated analysis: Proposal for a new prediction tool of essential hypertension diagnosis

Phytochemical Characterization, Antioxidant and Anti-Proliferative Properties of Rubia cordifolia L. Extracts Prepared with Improved Extraction Conditions

Rubia cordifolia L. (Rubiaceae) is an important plant in Indian and Chinese medical systems. Extracts prepared from the root, stem and leaf have been used traditionally for the management of various diseases. Some of the known effects are anti-inflammation, neuroprotection, anti-proliferation, immunomodulation and anti-tumor. A comparative account of the extracts derived from different organs that lead to the identification of the most suitable solvent is lacking. We explored the presence of phytochemicals, antioxidant activity and anti-proliferative properties of a variety of solvent-based extracts of root, and methanol extracts of stem and leaf of R. cordifolia L. The antioxidant potential was determined by DPPH, hydrogen peroxide, nitric oxide and total antioxidant assays. The anti-proliferative nature was evaluated by MTT assay on HeLa, ME-180 and HepG2 cells. The composition of the extracts was determined by UPLC-UV-MS. We found that the root extracts had the presence of higher amounts of antioxidants over the stem and leaf extracts. The root extracts prepared in methanol exhibited the highest cytotoxicity in HepG2 cells. The main compounds identified through UPLC-UV-MS of the methanol extract give credibility to the previous results. Our comprehensive study corroborates the preference given to the root over the stem and leaf for extract preparation. In conclusion, we identified the methanol extract of the root to be the most suited to have bioactivity with anti-cancer potential.

Quantifying morphological alteration of RBC population from light scattering data

Studies of RBC morphological alterations, despite their potential clinical and experimental application, are compromised due to lack of simple and rapid techniques. As a complementary approach toward quantitative microscopy, we have reconstituted morphological information from light scattering data obtained from flow cytometer. Normal and poikilocytic agent treated samples were analyzed by microscopy and respective morphological index (MI) was calculated from the morphology based scores assigned to RBC. The samples were simultaneously analyzed by flowcytometer and the scatter data were obtained. Accordingly, the best correlated parameters of both forward scatter and side scatter were chosen to formulate a suitable regression model with MI as response. Flow cytometry data was also verified with another instrument (BD FACS Verse) and the equation obtained was validated with separate set of samples. The multivariate regression analysis yields a quadratic model with MI as response (R2 = 0.96, p <  0.001). The flow cytometric data from both instruments were in good agreement (Intra class correlation ∼0.9, p <  0.001). The model was found to simulate the sample MI with high accuracy (R2 = 0.97, p <  0.001). This proposed method was verified to be simple, rapid, quantitative and cost effective for the measurement of morphological alteration of RBC.