Dioecious flatworms of the genus Schistosoma causes schistosomiasis, which is a major public health problem in developing countries. Acquiring detailed knowledge of schistosome-host interactions may aid in the development of novel strategies for schistosomiasis control. MicroRNAs (miRNAs) are involved in processes such as development, cell proliferation, metabolism, and signal transduction. Circulating miRNAs not only serve as a novel class of biomarkers of many diseases but also regulate target gene expression in recipient cells, which are similar to hormones. In the present study, we used miRNA microarrays to determine the profile of circulating miRNAs associated with S. japonicum infection of mice. The biological functions of the altered levels of miRNAs and their target genes were predicted using bioinformatics. Expression levels of selected miRNAs and their target genes were further analyzed by quantitative RT-PCR. Our study identified 294 and 189 miRNAs in infected mice that were expressed in two independent experiments at levels ≥ 2-fold higher or ≤ 0.5-fold lower, respectively, compared with uninfected mice. Thirty-six of the same miRNAs were detected in these analyses. Moreover, pathway analyses indicated that most of these miRNAs are putatively involved in signaling pathways associated with pathogenesis, such as Wnt and MAPK signaling. Further, we show an inverse correlation between the circulating levels of these miRNAs and their target genes, suggesting that changes in miRNA expression may cause aberrant expression of genes such as Creb1 and Caspase-3 in mice infected with S. japonicum. Our study shows significant differences in the levels of circulating miRNAs between S. japonicum infected mice and uninfected mice. In particular, the altered levels of miR-706 and miR-134-5p were associated with altered levels of expression of the Caspase-3 and Creb1 genes, respectively, suggesting that circulating miRNAs may serve as important mediators of the pathology of hepatic schistosomiasis. Additionally, our results are expected to provide new insights for further understanding the mechanisms of schistosome-host interaction that may facilitate in the development of novel interventions for alleviating the symptom of S. japonicum infection as well as for preventing and treating schistosomiasis.

Social wasps, including hornets, are increasingly recognized not only as invasive pests but also as farmed insects; however, their gut microbiota and associated diseases remain poorly characterized. In indoor rearing facilities for the hornet Vespa analis in Dehong, Yunnan, China, we observed recurrent larval disease with weakness, larvae falling from the nests, and high mortality. To identify the causative agent and its effects on the gut community, we isolated bacteria from diseased larvae, characterized them by morphology, biochemical tests, and 16S rRNA gene sequencing, and then established an oral infection model. A red-pigmented isolate, designated YR2, was identified as Serratia marcescens. Oral inoculation with YR2 reproduced disease signs and significantly increased larval mortality, and a phenotypically consistent S. marcescens isolate was reisolated from infected larval guts. Amplicon sequencing showed that healthy larvae harbored gut communities dominated by Proteobacteria, whereas infection was associated with reduced diversity and a dysbiotic shift with enrichment of Enterobacterales. Our results support S. marcescens as a strong candidate pathogen associated with larval disease and mortality in Vespa analis under indoor-rearing conditions. Our findings provide a basis for pathogen surveillance and microbiota management in indoor hornet husbandry, and support improved biosecurity and health monitoring practices.

Hymenopteran venoms contain diverse proteins and peptides that shape envenomation, defense, predation, and allergic responses. Honeybee venom from Apis mellifera is well characterized, while molecular resources for the Asian giant hornet Vespa mandarinia remain less curated. We compared protein- and peptide-fraction LC-MS/MS identification datasets from V. mandarinia venom (VM-V) and A. mellifera venom (AM-V), supported by a de novo V. mandarinia transcriptome-derived database. Protein-level identification yielded 197 protein groups in VM-V PRO and 164 protein groups in AM-V PRO. AM-V contained well-recognized honeybee venom components, including phospholipase A2, hyaluronidase, venom acid phosphatase, venom dipeptidyl peptidase 4, melittin precursor, mast cell degranulating peptide precursor, secapin, and allergen Api m 6. VM-V PRO contained transcriptome-supported candidate venom-associated proteins, including venom dipeptidyl peptidase 4-like, hyaluronidase-like, venom allergen 5-like, serine protease-like, apolipophorin-like, and hexamerin-like entries. Peptide-fraction annotation was strongest in AM-V PEP, led by melittin precursor, whereas VM-V PEP remained largely unannotated. The study focuses on identification, annotation, and hypothesis-generating functional summaries, not replicate-level differential abundance. GO, KEGG, and STRING analyses organized functional annotation patterns and prioritized candidate protein groups. These data provide an identification-based comparative venomomics resource for VM-V and AM-V and a foundation for targeted validation of candidate V. mandarinia venom-associated components.