Untargeted metabolomics and DNA barcoding for discrimination of Phyllanthus species.

ETHNOPHARMACOLOGICAL RELEVANCE: Phyllanthus species is extensively cultivated and used as edible fruits and herbal drugs. The Phyllanthus species are used extensively as ethnopharmacologically important materials in several countries, especially in Asia. Various Phyllanthus species are broadly used in the Ayurvedic system of medicine and deliberated as bitter, astringent, stomachic, diuretic, febrifuge, deobstruent, and antiseptic, and used for the treatment of digestive, genitourinary, respiratory, skin diseases, hepatopathy, jaundice, and renal calculus in India. Precise authentification of Phyllanthus species is a challenge due to morphological similarities and is important to avoid adulteration found in herbal drugs. Hence, there is a need to establish comprehensive methods for the identification of Phyllanthus species. AIM OF THE STUDY: In this study, we attempted to integrate untargeted metabolomics to identify species-specific metabolites with traditional phylogenetic analysis for identification and discrimination of nine Phyllanthus species. MATERIALS AND METHODS: Phyllanthus species such as P. acidus, P. amarus, P. debilis, P. emblica, P. virgatus, P. urinaria, P. lawii, P. myrtifolius, and P. reticulatus were collected. The liquid chromatography coupled mass spectrometry (LC-MS) was performed for untargeted metabolite profiling and MS/MS fragmentation analysis was performed for selected compounds. Further, the barcoding analysis was executed using plastid loci, rpoC1 to integrate with metabolite profiling data. RESULTS: The Principal Component Analysis (PCA) of leaf metabolites showed distinct clusters in different species. Through further analysis, we have also identified the qualitative and quantitative status of unique metabolites across the species, and the majority of the selected compounds were annotated. The metabolic fingerprinting and the hierarchical clustering indicated that though the P. deblis and P. virgatus are distantly related to each other, they are closely associated with their metabolic profiling. Similarly, P. myrtifolius and P. urinaria are closely related to each other with their metabolic fingerprints than the genetic alignment. Further, we performed barcoding with rpoC1 across nine Phyllanthus species (P. acidus, P. amarus, P. debilis, P. emblica, P. virgatus, P. urinaria, P. lawii, P. myrtifolius, and P. reticulatus). Sequence similarity search in the GenBank database showed rpoC1 barcode loci from nine Phyllanthus species showed significant identity (>97%) with the sequences of various Phyllanthus species. CONCLUSIONS: The bioactive metabolites and their abundance can be assigned to specific species thereby serving as a biological signature and indicators for potential therapeutic use. This study identified differential expression of 14 secondary metabolites from nine Phyllanthus species. Alkaloid compound zeatin was found specific to P. virgatus and delphinidin-3-O- ß -D-glucoside was not found in P. myrtifolius. Barcoding and phylogenetic analysis showed P. acidus is the most genetically distinct among the groups and the sequence pair between P.emblica-P.reticulatus and P.emblica-P.urinaria showed the least difference.

Human Papillomavirus (HPV) Infection in Early Pregnancy: Prevalence and Implications.

Introduction: Young women (20-35 years) are at high risk of HPV infection, although the majority of the infections are asymptomatic and are cleared spontaneously by the host immune system. These are also the group of women who are sexually active and are in the population of pregnant women. During pregnancy, the changes in the hormonal milieu and immune response may favor persistence of HPV infection and may aid in transgenerational transmission thereby furthering the cancer risk. In the present study, we determined the prevalence of vaginal HPV infection in early pregnancy and attempted to relate with pregnancy outcome. Material and Methods: Vaginal cytology samples were collected from the condoms used to cover the vaginal sonography probe during a routine first trimester visit to the hospital. All women were followed up throughout pregnancy and childbirth. Maternal and neonatal outcomes were recorded. Results: We found a prevalence of HPV infection around 39.4% in our population. Interestingly all HPV positive women were infected with one or more high risk HPV viruses with an overlap of intermediate and low risk in 43% and 7.3%, respectively. Women with preterm prelabor rupture of membranes (PPROM) showed a statistically higher incidence in HPV positive (7.3%) group as compared to the HPV negative (3.2%) group. Conclusion: The prevalence of genital HPV infection is high during pregnancy (around 40%) and was associated with higher incidence of PPROM.