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AbstractThe major aim of this research hyperthermia and magnetic resonance-high intensity focused ultrasound (MR-HIFU) focused on investigating the potential of aloe vera leaf extract-mediated gold-coated iron oxide nanohybrids (Au-IONPs) as a modern theragnostic material for the treatment of uterine myoma. To assess the cytotoxicity of Au-IONPs, induce hyperthermia, and apply radiotherapy to determine the level of apoptosis in the human ht-UtLM cells. Subsequently, it evaluated the cytotoxicity of the nanoparticles on human ht-UtLM cells by exposing the cells to various concentrations of Au-IONPs for a 4-hour incubation period. Based on the results, concentrations of 10 and 15 µg/mL were selected for further investigation. The MTT assay and flow cytometry results demonstrated that Au-IONPs significantly induce cell apoptosis. It allows the Au-IONPs to turn as an effective development mediator in the ablation of high-intensity focused ultrasound (HIFU) treatment. Finally, it could be suggested to developed material have excellent systemic toxicity, which promises well for treatment of uterine fibroids.HIGHLIGHTSBiosynthesis of gold – iron oxide nanohybrids (Au-IONPs) through a green approach.Physio-chemical properties of Au-IONPs have been characterized through various techniques.Investigating the anti-tumor effects of Au-IONPs in combination with thermo-radiotherapy for uterine myoma.Determine the level of apoptosis in the human myoma cells by inducing hyperthermia and radiotherapy.Observed the correlation behavior between the dose of the cell viability and Au-IONP nanoparticles.Au-IONPs had a significant impact on enhancing the effects of both hyperthermia and radiation therapies.Biosynthesis of gold – iron oxide nanohybrids (Au-IONPs) through a green approach.Physio-chemical properties of Au-IONPs have been characterized through various techniques.Investigating the anti-tumor effects of Au-IONPs in combination with thermo-radiotherapy for uterine myoma.Determine the level of apoptosis in the human myoma cells by inducing hyperthermia and radiotherapy.Observed the correlation behavior between the dose of the cell viability and Au-IONP nanoparticles.Au-IONPs had a significant impact on enhancing the effects of both hyperthermia and radiation therapies. [ABSTRACT FROM AUTHOR]

Simple Summary: This study aimed to estimate genetic parameters of growth traits and resistance to white spot syndrome virus in Pacific white shrimp (Litopenaeus vannamei). Through controlled virus challenge assays, phenotypic values for five traits were assessed: body weight, overall length, body length, tail length, and post-infection survival time. Three models were utilized, namely pedigree-based best linear unbiased prediction, genomic best linear unbiased prediction, and single-step genomic best linear unbiased prediction. Under the genomic prediction model, the heritability of growth-related traits decreased, whereas the heritability of post-infection survival time increased. Both genomic models significantly enhanced prediction accuracy compared to the pedigree-based model, with the most notable improvement observed in virus resistance. The genetic correlations between growth and WSSV resistance obtained from the three methods were consistently low and negative. These findings provide valuable insights for breeding programs and variety development in L. vannamei. The current study aimed to provide a precise assessment of the genetic parameters associated with growth and white spot syndrome virus (WSSV) resistance traits in Pacific white shrimp (Litopenaeus vannamei). This was achieved through a controlled WSSV challenge assay and the analysis of phenotypic values of five traits: body weight (BW), overall length (OL), body length (BL), tail length (TL), and survival hour post-infection (HPI). The analysis included test data from a total of 1017 individuals belonging to 20 families, of which 293 individuals underwent whole-genome resequencing, resulting in 18,137,179 high-quality SNP loci being obtained. Three methods, including pedigree-based best linear unbiased prediction (pBLUP), genomic best linear unbiased prediction (GBLUP), and single-step genomic BLUP (ssGBLUP) were utilized. Compared to the pBLUP model, the heritability of growth-related traits obtained from GBLUP and ssGBLUP was lower, whereas the heritability of WSSV resistance was higher. Both the GBLUP and ssGBLUP models significantly enhanced prediction accuracy. Specifically, the GBLUP model improved the prediction accuracy of BW, OL, BL, TL, and HPI by 4.77%, 21.93%, 19.73%, 19.34%, and 63.44%, respectively. Similarly, the ssGBLUP model improved prediction accuracy by 10.07%, 25.44%, 25.72%, 19.34%, and 122.58%, respectively. The WSSV resistance trait demonstrated the most substantial enhancement using both genomic prediction models, followed by body size traits (e.g., OL, BL, and TL), with BW showing the least improvement. Furthermore, the choice of models minimally impacted the assessment of genetic and phenotypic correlations. Genetic correlations among growth traits ranged from 0.767 to 0.999 across models, indicating high levels of positive correlations. Genetic correlations between growth and WSSV resistance traits ranged from (−0.198) to (−0.019), indicating low levels of negative correlations. This study assured significant advantages of the GBLUP and ssGBLUP models over the pBLUP model in the genetic parameter estimation of growth and WSSV resistance in L. vannamei, providing a foundation for further breeding programs. [ABSTRACT FROM AUTHOR]

Objective: The purpose of this study was to evaluate the efficacy of different Chinese patent medicines com - bined with clomiphene citrate (CC) in the treatment of infertility caused by ovulation disorders, by using a network meta-analysis. Method: The relevant randomized controlled trialsr(RCTs) of Chinese patent medicines were retrieved from PubMed, EMbase, Cochrane Library, CBM, CNKI, Wanfang, and VIP Databas from the time of database establishment to February 2023, and Stata 16.0 was used for network meta-analysis. Result: A total of 30 RCTs were included in this study, involving 2 647 patients and 12 Chinese patent medicines. According to the results of network meta-analysis:in terms of improving endometrial thickness, improving ovulation rate and pregnancy rate, the effect of Dingkun Dan, Guipi Pill, Tiaojingcuyun Pill combined with CC is optimal respectively. Conclusion: The efficacy of the included Chinese medicines combined with CC in ovulation infertility was better than CC alone. However, because of the study's shortcomings, large-scale high-quality clinical trials are needed in the future research to be verified. [ABSTRACT FROM AUTHOR]