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Osteosarcoma (OS) is the most common type of primary bone tumor in children and adolescents and has been associated with a high degree of malignancy, early metastasis, rapid progression and poor prognosis. However, the use of adjuvant chemotherapy improves the prognosis of patients with OS. OS chemotherapy is based primarily on the use of adriamycin, cisplatin (DDP), methotrexate (MTX), ifosfamide (IFO), epirubicin (EPI) and other drugs. Previous studies have revealed that the survival rate for patients with OS appears to have plateaued: 5-year survival rates remain close to 60%, even with the use of combined chemotherapy. The most limiting factors include complications and fatal toxicity associated with chemotherapy agents, particularly high-dose MTX (HD-MTX), for which high toxicity and great individual variation in responses have been observed. Docetaxel (TXT) is a representative member of the relatively recently developed taxane class of drugs, which function to inhibit OS cell proliferation and induce apoptosis. Recently, more clinical studies have reported that TXT combined with gemcitabine (GEM) is effective in the treatment of OS (relapse/refractory and progressive), providing evidence in support of potential novel treatment strategies for this patient population. However, there is still no global consensus on this type of chemotherapy approach. The present review summarizes current studies surrounding progress in the chemotherapeutic treatment of OS and discusses the advantages and potential feasibility of TXT+GEM in the treatment of OS.

Babesiosis is an emerging and re-emerging zoonosis that is prevalent worldwide, caused by over 100 Babesia species. These intracellular parasites efficiently invade host red bloods cells, replicate rapidly, and exit the infected cells to cause clinical symptoms. However, the underlying mechanisms of regulating this asexual stage is largely unknown. Here, we generated a chromosome-level reference assembly of a novel Babesia species, Babesia xinjiangensis . Using single-copy orthologous genes, we confirmed its phylogenetic relationships with other apicomplexan parasites and estimated its speciation time. We identified species-specific gene families and core gene families that could be responsible for species speciation and immune evasion. Furthermore, we also used a single-cell RNA-sequencing (scRNA-seq) protocol to uncover hidden transcriptional variations in the asexual stages of this unicellular Babesia parasite and its cell-to-cell heterogeneity. We inferred the replication cycle and performed a pseudotime analysis to speculate the gene expression profiles. Although the peak expression times of most epigenetic markers and transcription factors were confined to specific phases, BxAP2-M2 (GWHPERCV002055) is constantly expressed during asexual development progression. Genetic analyses revealed that BxAP2-M2 directly or indirectly regulates the expression of rhoptry proteins and membrane proteins, which may play critical roles in the parasite’s invasion of red blood cells and the merozoite morphology. Our findings provide valuable markers of asexual replication, including some that are specific to Babesia gametocytes, and regulators specific to distinct cell-cycle phases.

Marbofloxacin (MBF) was once widely used as a veterinary drug to control diseases in animals. MBF residues in animal food endanger human health. In the present study, an immunochromatographic strip assay (ICSA) utilizing a competitive principle was developed to rapidly detect MBF in beef samples. The 50% inhibitory concentration (IC 50 ) and the limit of detection (LOD) of the ICSAs were 2.5 ng/mL and 0.5 ng/mL, respectively. The cross-reactivity (CR) of the MBF ICSAs to Ofloxacin (OFL), enrofloxacin (ENR), norfloxacin (NOR), and Ciprofloxacin (CIP) were 60.98%, 32.05%, 22.94%, and 23.58%, respectively. The CR for difloxacin (DIF) and sarafloxacin (SAR) was less than 0.1%. The recovery rates of MBF in spiked beef samples ranged from 82.0% to 90.4%. The intra-assay and interassay coefficients of variation (CVs) were below 10%. In addition, when the same authentic beef samples were detected in a side-by-side comparison between the ICSAs and HPLC‒MS, no statistically significant difference was observed. Therefore, the proposed ICSAs can be a useful tool for monitoring MBF residues in beef samples in a qualitative and quantitative manner.

Conventional immunoassays such as ELISA are widely used in serological testing, yet their reliance on multi-step workflows and labeled reagents limits diagnostic scalability and speed. Bioluminescence-based biosensors are attractive alternatives that offer high sensitivity, operational simplicity, and cost efficiency for detecting diverse analytes. Here, we present a broadly compatible bioluminescent biosensor for antibody detection based on analyte-mediated reconstitution of split-Nanoluciferase (NanoLuc). The platform utilizes engineered bifunctional probes, comprising the protein G C2 domain fused to split-NanoLuc subunits (LgBiT and SmBiT), which serve dual functions in antibody binding and signal generation. Upon immunocomplex formation with multi-epitope antigens, the probes colocalize LgBiT and SmBiT, reconstituting NanoLuc activity and producing a quantifiable bioluminescent signal. We implemented this Fc-binding split-NanoLuc complementation assay to detect antibodies against African swine fever virus (ASFV). The optimized system showed high sensitivity, a wide linear dynamic range, and no cross-reactivity with sera positive for other common swine viruses. Clinical validation exhibited 97.11% agreement with a commercial ELISA kit, confirming its practicality and reliability. Furthermore, the sensor platform was seamlessly adapted to detect antibodies against SARS-CoV-2 and Chikungunya virus (CHIKV) without requiring additional molecular design or reconfiguration, highlighting its inherent versatility. By leveraging the broadly applicable Fc-binding capacity of protein G and the intrinsic modularity of split-NanoLuc, this strategy streamlines assay development and eliminates the need for species-specific secondary antibodies. Together, our findings demonstrate a proof-of-concept biosensor approach that could be further developed into a useful tool for rapid antibody detection in emerging infectious disease settings. Key points • Fungal biological processes alter upon illumination, also under the microscope • Red shifted fluorescent protein toolboxes decrease interference by illumination • Innovations like two-photon, lightsheet, and near IR microscopy reduce phototoxicity

This study aimed to construct a widely accepted prognostic nomogram in Chinese high-grade osteosarcoma (HOS) patients aged ≤ 30 years to provide insight into predicting 5-year overall survival (OS) . Data from 503 consecutive HOS patients at our centre between 12/2012 and 05/2019 were retrospectively collected. Eighty-four clinical features and routine laboratory haematological and biochemical testing indicators of each patient at the time of diagnosis were collected. A prognostic nomogram model for predicting OS was constructed based on the Cox proportional hazards model. The performance was assessed by the concordance index (C-index), receiver operating characteristic curve and calibration curve. The utility was evaluated by decision curve analysis. The 5-year OS was 52.1% and 2.6% for the nonmetastatic and metastatic patients, respectively. The nomogram included nine important variables based on a multivariate analysis: tumour stage, surgical type, metastasis, preoperative neoadjuvant chemotherapy cycle, postoperative metastasis time, mean corpuscular volume, tumour-specific growth factor, gamma-glutamyl transferase and creatinine. The calibration curve showed that the nomogram was able to predict 5-year OS accurately. The C-index of the nomogram for OS prediction was 0.795 (range, 0.703–0.887). Moreover, the decision curve analysis curve also demonstrated the clinical benefit of this model. The nomogram provides an individualized risk estimate of the 5-year OS in patients with HOS aged ≤ 30 years in a Chinese population-based cohort.

The African swine fever virus (ASFV) -encoded late structural protein pA104R is a putative histone-like protein, which is also a DNA-binding related protein required for ASFV DNA replication, transcription, and genome packaging. However, the molecular mechanism underlying pA104R-host protein interactions remain unknown. To identify proteins potentially interacting with ASFV-pA104R, a primary porcine alveolar macrophage (PAM) cDNA yeast two-hybrid library was constructed, and the pig E3 ubiquitin ligase RING-finger protein 2 (RNF2) was identified, which specifically negatively regulates the proliferation of ASFV. Mechanistically, RNF2 inhibits ASFV replication by promoting the proteasomal degradation of ASFV-pA104R through K48-linked ubiquitination at pA104R lysine 5 (K5). Further studies showed that the K5R mutation impairs the interaction between pA104R and RNF2 and antagonizes for pA104R degradation by RNF2. An ASFV mutant carrying a pA104R point mutation (ASFV CN/SC/2019 pA104R-K5R) was generated based on the ASFV CN/SC/2019 (wild-type) strain. Furthermore, our findings indicate that ASFV CN/SC/2019 pA104R-K5R enhances viral replication and virulence, potentially by increasing viral transcription and/or modulating the host immune response. Accordingly, compared with the parental strain, ASFV CN/SC/2019 pA104R-K5R was more pathogenic and severe lesions in swine. Collectively, our study identifies an intrinsic antiviral protein RNF2 that mediates ASFV CN/SC/2019 pA104R-K5 site ubiquitination emerges as a potential determinant of viral replication and pathogenicity.

This study aimed to explore the role of the two-component system Bae SR in the mechanism of drug resistance in carbapenem-resistant A. baumannii (CRAB) using molecular docking and real-time polymerase chain reaction (PCR). The two-component system Bae SR of Acinetobacter baumannii was subjected to molecular docking with imipenem, meropenem, and levofloxacin. Antibacterial assays and fluorescence quantitative PCR were used to explore protein–ligand interactions and molecular biological resistance mechanisms related to CRAB. The analysis of the two-component system in A. baumannii revealed that imipenem exhibited the highest docking energy in Bae S at − 5.81 kcal/mol, while the docking energy for meropenem was − 4.92 kcal/mol. For Bae R, imipenem had a maximum docking energy of − 4.28 kcal/mol, compared with − 4.60 kcal/mol for meropenem. The highest binding energies for Bae S–levofloxacin and Bae R–levofloxacin were − 3.60 and − 3.65 kcal/mol, respectively. All imipenem-resistant strains had minimum inhibitory concentration (MIC) values of 16 µg/mL, whereas levofloxacin-resistant strains had MIC values of 8 µg/mL. The time-sterilization curve showed a significant decrease in bacterial colony numbers at 2 h under the action of 8 µg/mL imipenem, indicating antibacterial effects. In contrast, levofloxacin did not exhibit any antibacterial activity. Fluorescence quantitative PCR results revealed significantly increased relative expression levels of bae S and bae R genes in the CRAB group, which were 2 and 1.5 times higher than those in the CSAB group, respectively, with statistically significant differences. Molecular docking in this study found that the combination of Bae SR and carbapenem antibiotics (imipenem, meropenem) exhibited stronger affinity and stability compared with levofloxacin. Moreover, the overexpression of the two-component system genes in carbapenem-resistant A. baumannii enhanced its resistance to carbapenem, providing theoretical and practical insights into carbapenem resistance in respiratory tract infections caused by A. baumannii .

Vaccination remains the sole effective strategy for combating Japanese encephalitis (JE). Both inactivated and live attenuated vaccines exhibit robust immunogenicity. However, the production of these conventional vaccine modalities necessitates extensive cultivation of the pathogen, incurring substantial costs and presenting significant biosafety risks. Moreover, the administration of live pathogens poses potential hazards for individuals or animals with compromised immune systems or other health vulnerabilities. Subsequently, ongoing research endeavors are focused on the development of next-generation JE vaccines utilizing nanoparticle (NP) platforms. This systematic review seeks to aggregate the research findings pertaining to NP-based vaccine development against JE. A thorough literature search was conducted across established English-language databases for research articles on JE NP vaccine development published between 2000 and 2023. A total of twenty-eight published studies were selected for detailed analysis in this review. Of these, 16 studies (57.14%) concentrated on virus-like particles (VLPs) employing various structural proteins. Other approaches, including sub-viral particles (SVPs), biopolymers, and both synthetic and inorganic NP platforms, were utilized to a lesser extent. The results of these investigations indicated that, despite variations in the usage of adjuvants, dosages, NP types, antigenic proteins, and animal models employed across different studies, the candidate NP vaccines developed were capable of eliciting enhanced humoral and cellular adaptive immune responses, providing effective protection (70–100%) for immunized mice against lethal challenges posed by virulent Japanese encephalitis virus (JEV). In conclusion, prospective next-generation JE vaccines for humans and animals may emerge from these candidate formulations following further evaluation in subsequent vaccine development phases.

Hybrid mapping is a powerful approach to efficiently identify and characterize genes regulated through mechanisms in cis. In this study, using reciprocal crosses of the phenotypically divergent Duroc and Lulai pig breeds, we perform a comprehensive multi-omic characterization of regulatory variation across the brain, liver, muscle, and placenta through four developmental stages. We produce one of the largest multi-omic datasets in pigs to date, including 16 whole genome sequenced individuals, as well as 48 whole genome bisulfite sequencing, 168 ATAC-Seq and 168 RNA-Seq samples. We develop a read count-based method to reliably assess allele-specific methylation, chromatin accessibility, and RNA expression. We show that tissue specificity was much stronger than developmental stage specificity in all of DNA methylation, chromatin accessibility, and gene expression. We identify 573 genes showing allele specific expression, including those influenced by parent-of-origin as well as allele genotype effects. We integrate methylation, chromatin accessibility, and gene expression data to show that allele specific expression can be explained in great part by allele specific methylation and/or chromatin accessibility. This study provides a comprehensive characterization of regulatory variation across multiple tissues and developmental stages in pigs. Here, the authors use multi-omic data to reveal how genetic and epigenetic variation affects gene expression in two pig breeds. The findings highlight strong tissue-specific regulation and identify genes with allele-specific expression.

Genomic imprinting is manifested as monoallelic expression of genes according to parental origin, which is closely linked to mammalian placentation and human diseases. Yet, it is unclear how genomic imprinting evolves in different cell types. Here we generate a single-nucleus transcriptomic landscape of mammalian placental development, identifying 5 major cell types and 14 trophoblast subtypes. By developing a framework for integrating the datasets of single-nucleus transcriptome and whole-genome variations from reciprocal crosses of the genetically distinct Duroc and Lulai pig breeds, we construct a cell-type-specific genomic imprinting landscape, uncovering 118 candidate imprinted genes. We expand the mammalian imprinting gene catalog by identifying 97 previously uncharacterized imprinted candidates. Nearly 75% of imprinted candidates exhibit a cell-type- and developmental-stage-dependent manner. Through cross-species analysis, we show that cell-cell communication, especially the integration and modification of signaling pathways into a cell-type-specific autocrine network, drives biased allelic expression of imprinted genes in pigs, mice, and humans. Our findings provide genetic and molecular insights into parent-of-origin effects on gene expression, offering an in-depth understanding of genomic imprinting in mammals. Genomic imprinting, manifested as monoallelic expression of genes according to parental origin, is linked to mammalian placentation and human diseases. The authors integrate single-nucleus transcriptomes and whole-genome variations to create a cell type-specific genomic imprinting atlas of pig placenta, highlighting the role of cell-cell communication in parent-of-origin effects on gene expression.