Resultados de investigación

See the supplementary material for further details on the electronic structure and quantum dynamical methods, electronic diabatic Hamiltonians, and characterization of the normal modes used in the simulations., Peer reviewed

S1 Fig. Workflow for the manual and automatic text-mining searches. A starting list of 6034 mammal viruses was used to obtain, which were then reviewed using both manual and PubmedKB-based automated strategies. The resulting virus-receptor pairs were combined with known databases and manually curated (see text for full description). M, manual strategy; PKB, PubmedKB strategy., S2 Fig. Roles of known receptors according to viral family. Only families with at least 10 known virus-host interactions are represented. Families of enveloped and non-enveloped viruses are shown, and within each group, families are sorted by the fraction of known receptors that are sufficient for viral entry (main plus alternative receptors)., S3 Fig. Research effort versus the known number of host proteins used as receptors for different viral families. Data points correspond to individual viruses. Those corresponding to the indicated family are shown in color (blue for non-enveloped viruses; yellow for enveloped viruses), and grey points correspond to all other viruses. The colored and grey dashed lines show the GLM prediction obtained specifically for the family and all viruses, respectively. Only families with at least 5 viral species in the dataset were considered., S1 Table. Database of virus receptors generated in this study. The following information is provided: the viral species, number of PubMed records and Genbank sequences available for each virus, viral family, presence of an envelope, number of host species, receptor symbol, receptor nature, functional role of the receptor, corresponding gene symbol, original publication PMID, year of discovery, and whether the virus-receptor interaction was reported in previous reviews and databases., S2 Table. Scores obtained from the GBM. The gene symbol, assigned score (probability of being a receptor), and whether the corresponding protein is a known receptor are indicated., S3 Table. Relevant features identified by the GBM. Gain represents the relative contribution of each variable to the model prediction. Cover indicates the relative number of observations that are related to a given variable., Peer reviewed

S1 Fig. Time of exposure. We tested the effect of the exposure time to CPC. To do so, IAV/WSN/33 was incubated with CPC at 0.1% for 2 minutes, 1 minute, or 30 seconds. Next, the virus was diluted and used to infect MDCK cells as previously described. After 48 hours of infection, the viral load was assessed by TCID50. We used a 2-minute treatment with SDS at 0.05% as a positive control and PBS solution as a negative control. No differences in the viral load were observed between the 2 minutes, 1 minute, or 30 seconds exposure., Peer reviewed

Figure S1: Differences in the composition of each donor attributed to protocol variations; Table S1: Abundance matrix displaying viral counts across samples. Table S2: Relative abundance of the viral families identified for each sample in the study, used for Figure 3., Peer reviewed

The incorporation of novel, functional, and sustainable foods in human diets is increasing because of their beneficial effects and environmental-friendly nature. Chia (Salvia hispanica L.) has proved to be a suitable source of bioactive peptides via enzymatic hydrolysis. These peptides could be responsible for modulating several physiological processes if able to reach the target organ. The bioavailable peptides contained in a hydrolysate obtained with Alcalase, as functional foods, were identified using a transwell system with Caco-2 cell culture as the absorption model. Furthermore, 20 unique peptides with a molecular weight lower than 1000 Da and the higher statistical significance of the peptide-precursor spectrum match (−10 log P) were assessed by in silico tools to suggest which peptides could be those exerting the demonstrated bioactivity. From the characterized peptides, considering the molecular features and the results obtained, the peptides AGDAHWTY, VDAHPIKAM, PNYHPNPR, and ALPPGAVHW are anticipated to be contributing to the antioxidant and/or ACE inhibitor activity of the chia protein hydrolysates., Peer reviewed

Supplementary Table S1. Maternal age, maternal weight status, mode of delivery, gestational age, birth weight, gender, and human milk sampling time of entire study group and subgroups., Peer reviewed

Supplementary Table 1. The intersecting circRNAs from current published data via a Venn map.-- Supplementary Figure 1. Dysregulated circRNAs in NAFLD from 7 published studies. (A) The nomenclature of circRNAs was converted to gene names, which is the most commonly used method in circRNAs publications (the complete data set of differentially expressed circRNAs was used if available in the original article or supplementary information; otherwise, the top circRNAs expression profiles in the original article was used); (B) Aligent data from original data.-- Supplementary Figure 2. CircRNAs predicted solely through bioinformatics analysis, but the underlying mechanism were not verified by in vitro or in vivo experiment. NAFLD, nonalcoholic fatty liver disease; UCP2, uncoupling protein 2; SLC1A5 (ASCT2), solute carrier family 1 member 5; PLP2, proteolipid protein 2; CPEB1, CPE-binding protein1; LPIN1, Lipin 1; SIRT1, sirtuin 1; PEG10, paternally expressed gene 10., Nonalcoholic fatty liver disease (NAFLD), which affects approximately 25% of the global population, is an urgent health issue leading to various metabolic comorbidities. Circular RNAs (circRNAs), covalently closed RNA molecules, are characterized by ubiquity, diversity, stability, and conservatism. Indeed, they participate in various biological processes via distinct mechanisms that could modify the natural history of NAFLD. In this review, we briefly introduce the biogenesis, characteristics, and biological functions of circRNAs. Furthermore, we summarize circRNAs expression profiles in NAFLD by intersecting seven sequencing data sets and describe the cellular roles of circRNAs and their potential advantages as biomarkers of NAFLD. In addition, we emphatically discuss the exosomal non-coding RNA sorting mechanisms and possible functions in recipient cells. Finally, we extensively discuss the potential application of targeting disease-related circRNAs and competing endogenous RNA networks through gain-of-function and loss-of-function approaches in targeted therapy of NAFLD., This work was supported by the 1.3.5 project for disciplines of excellence, West China Hospital, Sichuan University (No. ZYGD20009); Sichuan Science and Technological Program (No. 2022YFS0338); Post-Doctor Research Project of West China Hospital of Sichuan University (2020HXBH079); Chengdu Science and Technology innovation project (2021-YF05-00800-SN); National Natural Science Foundation of China (No. 81900512 and No. 81802468)., Peer reviewed

Additional file 1: Supplementary Material 1. Minor Revision. Supplementary Material 2. DSMB. Supplementary Material 3. Full protocol., Peer reviewed

Figure S1: GenBank codes for the partial COI sequences of the Aedes albopictus lines used in this study; Figure S2: Mean female fecundity (left) and mean egg fertility (right) in Ae. albopictus ARwPL, ARwPBA, ARwPBN, and BN., Peer reviewed

Supplementary Fig. 1, Discussion and Tables 1–2., Peer reviewed