Objective The data related to adverse drug reaction of trastuzumab deruxtecan(T-DXd)were mined to provide references for its clinical management and adverse event handling.Methods Based on the Food and Drug Administration Adverse Event Reporting System(FAERS)database,the data reported from the post-marketing period of T-DXd until the fourth quarter of 2024 were extracted.The proportion imbalance method,specifically the reporting odds ratio(ROR)method,was used to mine and analyze the data related to adverse events of T-DXd.Results A total of 13 134 cases of adverse events related to T-DXd were obtained from the FAERS database.Gastrointestinal disorders were the most common,with 2348 adverse reaction signals,accounting for 17.88％.The most frequent adverse reactions were nausea(n=809),interstitial lung disease(n=732),and fatigue(n=579).The one with the highest ROR value was Listeriosis gastroenteritis(ROR=1228.74).The highest number of deaths were from interstitial lung disease(226),pneumonitis(90),and nausea(67).Conclusion By mining data on real-world adverse drug reaction related to T-DXd,suggests that pulmonary function,cardiac function,complete blood count and other parameters should be closely monitored during treatment for early diagnosis and treatment of corresponding complications.

Objective The data related to adverse drug reaction of trastuzumab deruxtecan(T-DXd)were mined to provide references for its clinical management and adverse event handling.Methods Based on the Food and Drug Administration Adverse Event Reporting System(FAERS)database,the data reported from the post-marketing period of T-DXd until the fourth quarter of 2024 were extracted.The proportion imbalance method,specifically the reporting odds ratio(ROR)method,was used to mine and analyze the data related to adverse events of T-DXd.Results A total of 13 134 cases of adverse events related to T-DXd were obtained from the FAERS database.Gastrointestinal disorders were the most common,with 2348 adverse reaction signals,accounting for 17.88％.The most frequent adverse reactions were nausea(n=809),interstitial lung disease(n=732),and fatigue(n=579).The one with the highest ROR value was Listeriosis gastroenteritis(ROR=1228.74).The highest number of deaths were from interstitial lung disease(226),pneumonitis(90),and nausea(67).Conclusion By mining data on real-world adverse drug reaction related to T-DXd,suggests that pulmonary function,cardiac function,complete blood count and other parameters should be closely monitored during treatment for early diagnosis and treatment of corresponding complications.

Objective To evaluate the effect and cost-effectiveness of three commonly used molluscicides, 4% "Luo-wei" (tea-seed distilled saponins, TDS), 50% niclosamide ethanolamine salt wettable powder (NESWP), and 26% metaldehyde and niclosamide suspension concentrate (MNSC) in large-scale field application, so as to provide the references for formulating the strategy of snail control. Methods The field test and parallel comparison were implemented. A marshland with Oncomelania hupensis snails of the Yangtze River was divided into 4 parts (10 hm²) for the research, and three of them were experimental areas while the last one was a blank control area. The experimental areas were sprayed with 4% "Luo-wei", 50% NESWP and 26% MNSC respectively for 3 times and the interval was 1 week. Seven days after each spraying the effect of snail control was investigated, and the costs of molluscicides, labor, transportation, fuel consumption and mechanical loss were recorded. The cost of each molluscicide, snail mortality, snail density, and the cost of increasing 1% of snail mortality per 100 m² were analyzed and compared. Results After the first, second and third spraying, the corrected snail mortality rates were 67.34%, 76.55% and 84.60% respectively in the 4% "Luo-wei" group; the corrected snail mortality rates were 64.71%, 75.17% and 83.89% respectively in the 50% NESWP group; the corrected snail mortality rates were 66.55%, 76.27% and 86.67% respectively in the 26% MNSC group. There was no significant difference among the 3 groups in the snail mortality at the same spraying time (χ² = 1.590, 0.571, 3.238, all P > 0.05) . In addition, along with the increase of the spraying times, the snail mortality of each group was increased significantly compared to that of the control group (χ² = 79.333, 94.718, 117.020, all P < 0.01) . After the first, second and third spraying, the reduction rates of snail density were 69.82%–86.60% in the 4% "Luo-wei" group, 68.66%–86.55% in the 50% NESWP group, and 71.89%–88.87% in the 26% MNSC group respectively. The decreasing amplitude of the snail density was more than 85% in all the experimental areas after 3 rounds of spraying molluscicide. The snail control costs per 100 hm² were 19.57, 11.97 Yuan and 10.47 Yuan in the 4% "Luo-wei" group, 50% NESWP group, and 26% MNSC group respectively. After the first, second and third spraying, the costs of increasing 1% of snail mortality per 100 m² were 0.30, 2.08 Yuan and 2.38 Yuan in the 4% "Luo-wei" group, 0.20, 1.10 Yuan and 1.32 Yuan in the 50% NESWP group, and 0.17, 1.04 Yuan and 0.97 Yuan in the 26% MNSC group respectively, and the cost-effectiveness was the highest at the first spraying in all the three groups. Conclusions The effects of the three molluscicides for snail control are similar, but the efficacy of snail control is reduced as the spraying time increases.

Objective To investigate the methylation alteration of genomic DNA (gDNA) and its significance in pedigree neural tube defects (NTDs).Methods Twelve subjects from 3 NTDs pedigrees were enrolled in this study.NTDs patients were served as the case group,and their family members with normal phenotype were served as the control group.Peripheral vein blood was extracted,then gDNA was extracted.The extracted gDNA was treated with sodium bisulfite propagated as DNA segments in the way of whole genome amplification,which was put in I11umina Infinium human methylation 450k bead chip to perform hybridization,elution,extension,and imaging.The chip was scanned by iScan.Genome Studio was used to read the outcome.Illumina methylation analyzer software was used to analyze the methylation data.Results Gene differential methylation analysis showed that differential methylation sites only accounted for 0.2％ of the detected CpG sites and there were 617 differential hypermethylation sites (P ＜ 0.05),and 63 of them represented significant difference(P ＜ 1 × 10-4),including zinc finger E-box binding homebox 2,5,10-methylenetetrahydrofolate dehydrogenase 1 etc;there were 104 differential hypomethylation sites (P ＜ 0.05),and 65 of them represented significant difference (P ＜ 0.01),including Homeobox B7 and runt-related transcription factor 3 etc.Clustering analysis indicated that the tendency of DNA hypermethylation was consistent with NTDs patients,but the tendency of DNA hypomethylation was consistent with the controls.Conclusion In NTDs pedigree,the abnormal DNA methylation alterations may be the risk factor for NTDs occurrence.

Objective To investigate the correlation between neural tube defects (NTDs) and DACT1 gene, and provide the basic data for disease diagnosis and genetic counseling. Methods Blood samples were obtained from 163 NTDs patients and 480 unrelated healthy individuals. Mutation detection of DACT1 gene and DNA direct sequencing was carried out by PCR amplification. Bioinformatics analysis of these mutated loci was performed. Results Six mutations were found in NTDs patients, including 4 missense mutations (p.R45W, p.D142G, p.N356K and p.V702G). But these mutations were not found in 480 healthy individuals. Three mutated amino acid residues (p.45R, p.142D and p.356N) were highly conservative in evolution, and the mutated carriers were female patients, and suffered from anencephaly. Conclusion DACT1 gene mutation may be a risk factor of NTDs in Han population of northern China.

Predicting protein-coding genes still remains a significant challenge. Although a variety of computational programs that use commonly machine learning methods have emerged, the accuracy of predictions remains a low level when implementing in large genomic sequences. Moreover, computational gene finding in newly sequenced genomes is especially a difficult task due to the absence of a training set of abundant validated genes. Here we present a new gene-finding program, SCGPred, to improve the accuracy of prediction by combining multiple sources of evidence. SCGPred can perform both supervised method in previously well-studied genomes and unsupervised one in novel genomes. By testing with datasets composed of large DNA sequences from human and a novel genome of Ustilago maydi, SCG-Pred gains a significant improvement in comparison to the popular ab initio gene predictors. We also demonstrate that SCGPred can significantly improve prediction in novel genomes by combining several foreign gene finders with similarity alignments, which is superior to other unsupervised methods. Therefore, SCG-Pred can serve as an alternative gene-finding tool for newly sequenced eukaryotic genomes. The program is freely available at http://bio.scu.edu.cn/SCGPred/.
Algorithms ; Chromosome Mapping ; methods ; Computational Biology ; methods ; Exons ; genetics ; Genes, Fungal ; genetics ; Genome, Fungal ; Genome, Human ; Humans ; Reproducibility of Results ; Software ; Ustilago ; genetics

Predicting protein-coding genes still remains a significant challenge. Although a variety of computational programs that use commonly machine learning methods have emerged, the accuracy of predictions remains a low level when implementing in large genomic sequences. Moreover, computational gene finding in newly sequenced genomes is especially a difficult task due to the absence of a training set of abundant validated genes. Here we present a new gene-finding program, SCGPred,to improve the accuracy of prediction by combining multiple sources of evidence.SCGPred can perform both supervised method in previously well-studied genomes and unsupervised one in novel genomes. By testing with datasets composed of large DNA sequences from human and a novel genome of Ustilago maydi, SCGPred gains a significant improvement in comparison to the popular ab initio gene predictors. We also demonstrate that SCGPred can significantly improve prediction in novel genomes by combining several foreign gene finders with similarity alignments, which is superior to other unsupervised methods. Therefore, SCGPred can serve as an alternative gene-finding tool for newly sequenced eukaryotic genomes. The program is freely available at http://bio.scu.edu.cn/SCGPred/.