Hepcidin, a short peptide synthesized primarily by hepatocytes in response to increased body iron and inflammation, is a crucial iron-regulating factor. Hepcidin regulates intestinal iron absorption and releases iron from macrophages into plasma through a negative iron feedback mechanism. The discovery of hepcidin inspired a torrent of research into iron metabolism and related problems, which have radically altered our understanding of human diseases caused by an excess of iron, an iron deficiency, or an iron disparity. It is critical to decipher how tumor cells manage hepcidin expression for their metabolic requirements because iron is necessary for cell survival, particularly for highly active cells like tumor cells. Studies show that tumor and non-tumor cells express and control hepcidin differently. These variations should be explored to produce potential novel cancer treatments. The ability to regulate hepcidin expression to deprive cancer cells of iron may be a new weapon against cancer cells.

Functional gene expression is closely linked to an organism’s physiology and can be quantified using Real-Time Quantitative Reverse Transcription PCR (RT-qPCR). However, the stability of reference gene expression is not absolute, which may impact the accuracy of RT-qPCR results. In this study, we evaluated the suitability of nine genes including receptor for activated protein kinase c1 (rack1), ribosomal protein L6 (rpl6), ribosomal protein L9 (rpl9), ribosomal protein S2 (rps2), ribosomal protein S18 (rps18), ribosomal protein lateral stalk subunit P0 (rplp0), eukaryotic translation elongation factor 1β (eef1b), eukaryotic translation initiation factor 4a (eif4a), eukaryotic translation initiation factor 5a (eif5a) analyzed from RNA sequencing (RNA-Seq) data in addition to three genes including eukaryotic elongation factor 1α (eef1a), β-actin (actb), and glyceraldehyde 3-phosphate dehydrogenase (gapdh) selected from the literature to obtain the best internal controls in the RT-qPCR analysis of M. rosenbergii under overmating stress and natural aging. RefFinder was used to comprehensively evaluate the stability of the candidate reference genes. The initial results showed that three genes (eif5a, rps18, and rplp0) from the RNA-Seq data had relatively stable expression levels, which were more stable than those of the three commonly used reference genes. Eif5a and rps18 were the best combination for the RT-qPCR analysis of M. rosenbergii under overmating stress and aging. Further analysis indicated that eif5a might be the best reference gene for the study of M. rosenbergii.

During the breeding process of Macrobrachium rosenbergii, a male-to-female ratio of 1:3 or higher is typically adopted, so as a result, the quality of the male broodstock significantly influences the quality of the offspring. We observed that overused males exhibited notable changes in body color, particularly in the tail fan region, which turned orange or red due to the excessive accumulation of astaxanthin in the muscles and exoskeleton. Frequent mating also led to a significant decrease in male body weight, with histological analysis revealing disorganized muscle fiber patterns and increased tissue damage. To investigate the molecular mechanisms underlying these physiological changes, we performed transcriptomic and metabolomic analyses of muscle tissues. A total of 1069 differentially expressed genes (DEGs), 540 differentially expressed proteins (DEPs), and 385 differentially expressed metabolites (DEMs) were identified. Pathway analysis revealed that the DEGs were significantly enriched in pathways related to energy metabolism and degenerative diseases, while the DEMs were notably associated with cancer metabolism, signal transduction, substance transport, energy metabolism, nucleic acid metabolism, neurotransmission, immune response, and metabolic diseases. Proteome analysis showed that proteins and lipids were involved in muscle energy supply. These findings suggest that male M. rosenbergii upregulate energy metabolism in muscles to cope with frequent mating stress, but this adaptation leads to physiological damage. This study provides valuable insights for optimizing male broodstock selection and mating frequency in M. rosenbergii breeding practices.

The Chinese soft-shelled turtle (Pelodiscus sinensis) is an important freshwater aquaculture animal in China. The Wnt gene family plays important regulatory roles in the development and growth of mammals. However, the precise function of these family genes has not been well understood in the sex differentiation of Chinese soft-shelled turtles. Here, we cloned a member of the Wnt family, Wnt2, which obtained a 1077 bp open reading frame that encoded a 358-aa protein. The putative amino acid sequences of proteins are exceeded 80% identical to other turtles. The expression level of Wnt2 peaked at the 14th stage both in female and male embryos during the early gonadal differentiation period of Chinese soft-shelled turtles, which occurred before gonadal differentiation. Wnt2 mRNA was expressed at higher levels in the brains and gonads of mature P. sinensis females compared with those in mature males. Wnt agonists significantly affected the expression level of Wnt2 during the gonadal differentiation period. After Wnt agonists (1.0 μg/μL, 2.5 μg/μL, 5.0 μg/μL) treatment, the expression level of the Wnt2 generally appeared to have an inverted-V trend over time in female embryonic gonads. The results suggested that Wnt2 may participate in the regulation of gonad development in P. sinensis during the early embryonic stages. These results could provide a theoretical basis for the reproduction process of the Chinese soft-shelled turtle.

Decapod Iridescent Virus 1 (DIV1) causes severe economic losses in Macrobrachium rosenbergii farming. Serum metabolic biomarkers are valuable tools for disease-resistant breeding, yet most existing studies employ mixed-sex samples, and the impact of sexual dimorphism on screening reliability remains poorly quantified. In this study, non-targeted serum metabolomics was performed on 28 healthy M. rosenbergii (14 females and 14 males), which were divided into marginally resistant and susceptible groups after DIV1 challenge. We compared results from mixed-sex and sex-specific screening strategies, and separately analyzed the overlap of upregulated and downregulated differential metabolites. Significant basal sexual dimorphism was observed in serum metabolism. Mixed-sex analysis identified 247 differential metabolites, while male-specific and female-specific analyses identified 121 and 161, respectively. Only 26 metabolites showed consistent directional changes across all three comparisons, accounting for 10.5% of total mixed-sex differential metabolites. Nearly 90% of mixed-sex results were either sex-specific signals or independent of sex. Analyses that do not account for sex introduce a large number of sex-unrelated differential markers and mask sex-specific metabolic features, and sex-specific screening is a necessary strategy to obtain reliable metabolic biomarkers for crustacean disease-resistant breeding.