Pharmacognostic characterization of Dicleptera chinensis by scanning electron microscopy, light microscopy, and analytical techniques.

Dicleptera chinensis J. (Acanthaceae) has been employed in traditional medicinal systems for treating various ailments. It has been used as an anti-inflammatory, wound healing, diuretic, and detoxifying agent in different regions of the world. This study determines several pharmacognostic standards, which are useful to ensure safety, efficacy, and purity of D. chinensis. Different parts of the plant were examined through a scanning electron microscope and light microscope, and cross-section images revealed several useful botanical features of the plant. The color, size, odor, shape, and surface characteristics of plant parts were also examined macroscopically. Pharmacognostic standardization parameters including ash values, loss on drying, swelling index, hemolytic index, and foaming index were determined in accordance with WHO guidelines. Heavy metal analysis was executed through atomic absorption spectrophotometer which depicted the presence of heavy metals and trace elements within the acceptable range. Qualitative phytochemical tests for alkaloids, flavonoids, saponins, glycosides, tannins, carbohydrates, lipids, protein, and so forth of plant extract were also performed, which showed the valuable amount of these phytochemicals useful for medicinal purposes. Preliminary phytochemical tests provide an indication for major phytoconstituents classes present in the plant. These quantitative and qualitative microscopic features are helpful in establishing the pharmacopeia standards of plant. Assessment of various pharmacognostic features such as morphology of various plant parts explained along with physicochemical and phytochemical analysis could be very helpful for future research. RESEARCH HIGHLIGHTS: Pharmacognostic standardization is employed as reported evidence for correct identification of D. chinensis. Structures identified by scanning electron microscopy and light microscopy serve as diagnostic features of plant. Important secondary metabolites present in the plant suggest the need for further exploration through advanced metabolomics and other analytical techniques.

Confounders in Identification and Analysis of Inflammatory Biomarkers in Cardiovascular Diseases.

Proinflammatory biomarkers have been increasingly used in epidemiologic and intervention studies over the past decades to evaluate and identify an association of systemic inflammation with cardiovascular diseases. Although there is a strong correlation between the elevated level of inflammatory biomarkers and the pathology of various cardiovascular diseases, the mechanisms of the underlying cause are unclear. Identification of pro-inflammatory biomarkers such as cytokines, chemokines, acute phase proteins, and other soluble immune factors can help in the early diagnosis of disease. The presence of certain confounding factors such as variations in age, sex, socio-economic status, body mass index, medication and other substance use, and medical illness, as well as inconsistencies in methodological practices such as sample collection, assaying, and data cleaning and transformation, may contribute to variations in results. The purpose of the review is to identify and summarize the effect of demographic factors, epidemiological factors, medication use, and analytical and pre-analytical factors with a panel of inflammatory biomarkers CRP, IL-1b, IL-6, TNFa, and the soluble TNF receptors on the concentration of these inflammatory biomarkers in serum.