Various beneficial biological activities have been reported for passion fruit (Passiflora edulis), grown in tropical and subtropical regions. However, no study has yet demonstrated its action against the Zika virus (ZIKV) infection. The present study aimed to investigate the anti-ZIKV of the ethanolic passion fruit seed extract (PFSE), from which, liquid chromatography tandem mass spectrometry (LC-MS/MS) analysis allowed to putatively annotate the occurrence of piceatannol, astringin, scirpusin A, scirpusin B, isookanin-7-O-glucoside and naringenin-7-O-glucoside, two quadranguloside derivatives, tyrosine, and phenylalanine. PFSE is well tolerated by cell lines (Vero E6 and HTR-8/SVneo) and tissue explants from the human placenta. With 1- and 24-h treatments, PFSE consistently reduced the viral load and NS1 protein expression of the two strains of ZIKV (MR766 and PE243) in placental explants and cell lines. Thus, PFSE has a promising potential for developing anti-ZIKV treatments, protecting the placenta against infection caused by ZIKV, along with relevant antioxidant potential, represented by ferric reducing antioxidant power (FRAP) of 390.5 Trolox eq per g dry extract and half maximal inhibitory concentration (IC50) for 2,2-diphenyl-1-picrylhydrazyl radical (DPPH•) of 12.1 µg mL-1, and more than 90% protection from lipid peroxidation. Although further studies need to be conducted, PFSE treatment was safe and effective in trophoblast cells and placental explants, thus representing a promising class of all-accessible products based on the reuse of industrial by-products.

Metabolomics has played a central role in various areas of plant sciences, offering new perspectives for the advancement of agriculture, drug discovery, chemical ecology and taxonomy. Plant metabolomics (identification and quantification) aims to understand the relationship between biological systems and genetic, pathological and or environmental stimuli in terms of differential expression of the metabolism. Owing to the unique challenges, such studies require multidisciplinary skills involving biology, chemistry, statistics, and computer science for the extraction and complete understanding of information. In this sense, this review summarizes the main procedures that involve the steps of plant metabolomic study (design of experiments, sample preparation, analytical methods and data analysis), providing a comprehensive overview, showing the main challenges and limitations and possible solutions for the different approaches used.