Proteomics analysis of Toxoplasma gondii merozoites reveals regulatory proteins involved in sexual reproduction.

Sexual reproduction plays a crucial role in the transmission and life cycle of toxoplasmosis. The merozoites are the only developmental stage capable of differentiation into male and female gametes, thereby initiating sexual reproduction to form oocysts that are excreted into the environment. Hence, our study aimed to perform proteomic analyses of T. gondii Pru strain merozoites, a pre-sexual developmental stage in cat IECs, and tachyzoites, an asexual developmental stage, using the tandem mass tag (TMT) method in order to identify the differentially expressed proteins (DEPs) of merozoites. Proteins functions were subjected to cluster analysis, and DEPs were validated through the qPCR method. The results showed that a total of 106 proteins were identified, out of which 85 proteins had quantitative data. Among these, 15 proteins were differentially expressed within merozoites, with four exhibiting up-regulation and being closely associated with the material and energy metabolism as well as the cell division of T. gondii. Two novel DEPs, namely S8GHL5 and A0A125YP41, were identified, and their homologous family members have been demonstrated to play regulatory roles in oocyte maturation and spermatogenesis in other species. Therefore, they may potentially exhibit regulatory functions during the differentiation of micro- and macro-gametophytes at the initiation stage of sexual reproduction in T. gondii. In conclusion, our results showed that the metabolic and divisional activities in the merozoites surpass those in the tachyzoites, thereby providing structural, material, and energetic support for gametophytes development. The discovery of two novel DEPs associated with sexual reproduction represents a significant advancement in understanding Toxoplasma sexual reproduction initiation and oocyst formation.

Comparative analysis of the complete chloroplast genomes of six threatened subgenus Gynopodium (Magnolia) species.

BACKGROUND: The subgenus Gynopodium belonging to genus Magnolia have high ornamental, economic, and ecological value. Subgenus Gynopodium contains eight species, but six of these species are threatened. No studies to date have characterized the characteristics of the chloroplast genomes (CPGs) within subgenus Gynopodium species. In this study, we compared the structure of CPGs, identified the mutational hotspots and resolved the phylogenetic relationship of subgenus Gynopodium. RESULTS: The CPGs of six subgenus Gynopodium species ranged in size from 160,027 bp to 160,114 bp. A total of 131 genes were identified, including 86 protein-coding genes, eight ribosomal RNA genes, and 37 transfer RNA genes. We detected neither major expansions or contractions in the inverted repeat region, nor rearrangements or insertions in the CPGs of six subgenus Gynopodium species. A total of 300 large repeat sequences (forward, reverse, and palindrome repeats), 847 simple sequence repeats, and five highly variable regions were identified. One gene (ycf1) and four intergenic regions (psbA-trnH-GUG, petA-psbJ, rpl32-trnL-UAG, and ccsA-ndhD) were identified as mutational hotspots by their high nucleotide diversity (Pi) values (≥ 0.004), which were useful for species discrimination. Maximum likelihood and Bayesian inference trees were concordant and indicated that Magnoliaceae consisted of two genera Liriodendron and Magnolia. Six species of subgenus Gynopodium clustered as a monophyletic clade, forming a sister clade with subgenus Yulania (BS = 100%, PP = 1.00). Due to the non-monophyly of subgenus Magnolia, subgenus Gynopodium should be treated as a section of Magnolia. Within section Gynopodium, M. sinica diverged first (posterior probability = 1, bootstrap = 100), followed by M. nitida, M. kachirachirai and M. lotungensis. M. omeiensis was sister to M. yunnanensis (posterior probability = 0.97, bootstrap = 50). CONCLUSION: The CPGs and characteristics information provided by our study could be useful in species identification, conservation genetics and resolving phylogenetic relationships of Magnoliaceae species.

Nitrogen and Sulfur Co-Doped Hierarchically Porous Carbon Nanotubes for Fast Potassium Ion Storage.

Exploration of advanced carbon anode material is the key to circumventing the sluggish kinetics and poor rate capability for potassium ion storage. Herein, a synergistic synthetic strategy of engineering both surface and structure is adopted to design N, S co-doped carbon nanotubes (NS-CNTs). The as-designed NS-CNTs exhibit unique features of defective carbon surface, hollow tubular channel, and enlarged interlayer space. These features significantly contribute to a large potassium storage capacity of 307 mA h g-1 at 1 A g-1 and a remarkable rate performance with a capacity of 151 mA h g-1 even at 5 A g-1 . Furthermore, an excellent cyclability with 98% capacity retention after 500 cycles at 2 A g-1 is also achieved. Systematic analysis by in situ Raman spectroscopy and ex situ TEM demonstrates the structural stability and reversibility in the charge-discharge process. Although the kinetics studies reveal the capacitive-dominated process for potassium storage, density functional theory calculations provide evidence that N, S co-doping contributes to expanding the interlayer space to promote the K-ion insertion, improving the electronic conductivity, and providing ample defective sites to favor the K-ion adsorption.

Characteristics of B lymphocyte infiltration in HPV+ head and neck squamous cell carcinoma.

Human papillomavirus (HPV) is an important etiological factor of head and neck squamous cell carcinoma (HNSCC). HPV+ HNSCC patients usually have a better prognosis, which probably results from the higher infiltration of B lymphocytes. This study was purposed to detect the infiltration of B lymphocyte subsets and the correlation between B lymphocyte subsets and the prognosis in HPV-related HNSCC. In this study, 124 HPV+ and 513 HPV- HNSCC samples were obtained from the Gene Expression Omnibus (GEO) database and The Cancer Genome Atlas (TCGA) database for transcriptomic analysis. Infiltration of B lymphocytes subsets was detected with 7 HPV+ HNSCC and 13 HPV- HNSCC tissues through immunohistochemistry and immunofluorescence. One HPV- HNSCC sample was detected with single-cell sequencing for chemokine analysis. In the results, the infiltration of plasma cells (CD19+ CD38+ ) and memory B cells (MS4A1+ CD27+ ) was higher in HPV+ HNSCC samples. High infiltration of plasma cells and memory B cells was related to a better prognosis. High density of B lymphocytes was positively correlated with high CXCL13 production mainly from CD4+ T lymphocytes in HNSCC. These results indicated that a high density of plasma cells and memory B cells could predict excellent prognosis. CD4+ T lymphocytes might affect B lymphocytes and their subsets through the CXCL13/CXCR5 axis in HNSCC.

H2 O-Etchant-Promoted Synthesis of High-Quality Graphene on Glass and Its Application in See-Through Thermochromic Displays.

Direct growth of graphene on glass can bring an innovative revolution by coupling the complementary properties of traditional glass and modern graphene (such as transparency and conductivity), offering brand new daily-life related applications. However, preparation of high-quality graphene on nonmetallic glass is still challenging. Herein, the direct route of low sheet resistance graphene on glass is reported by using in situ-introduced water as a mild etchant and methane as a carbon precursor via chemical vapor deposition. The derived graphene features with large domain sizes and few amorphous carbon impurities. Intriguingly, the sheet resistance of graphene on glass is dramatically lowered down to ≈1170 Ω sq-1 at the optical transmittance ≈93%, ≈20% of that derived without the water etchant. Based on the highly conductive and optical transparent graphene on glass, a see-through thermochromic display is thus fabricated with transparent graphene glass as a heater. This work can motivate further investigations of the direct synthesis of high-quality graphene on functional glass and its versatile applications in transparent electronic devices or displays.

Metal-free Catalyst B2 S Sheet for Effective CO2 Electrochemical Reduction to CH3 OH.

Considering the problems of high costs, low catalytic activity and selectivity in the metal-based catalysts for CO2 electroreduction, we apply boron-containing metal-free B2 S sheet as an alternative to the traditional metal-based catalysts. Reaction energy calculations identify the preferred "Formate" pathway for CO2 conversion to CH3 OH on B2 S, in which the thermodynamic energy barrier obtained by using the Computational Hydrogen Electrode model is 0.57 eV, and the kinetic energy barrier obtained by searching the transition states is 1.18 eV. Another possible reaction pathway, "RWGS+CO-hydro", is suppressed and the hydrogen evolution reaction (HER) side reaction is nonspontaneous. Compared to Cu(211) with the highest catalytic activity among all transition metals, B2 S sheet exhibits a better catalytic activity with a lower overpotential for CO2 reduction and a better selectivity that suppresses the non-target reaction.

Effect of cornstalk biochar on phytoremediation of Cd-contaminated soil by Beta vulgaris var. cicla L.

Cadmium (Cd) contamination is the most common and extensive heavy metal pollution in the farmland of China. Phytoremediation is considered as a promising measure for Cd-contaminated soil remediation, but the remediation efficiency still needs to be enhanced. Biochar as an effective amendment medium is widely manufactured and studied for the soil remediation of heavy metals. In this study, a greenhouse pot trial was conducted to investigate the effects of cornstalk biochar on Cd accumulation of Beta vulgaris var. cicla L. (Beta vulgaris) in Cd contaminated soil. The Cd availability, speciation and nutrients in soil, biomass and Cd chemical forms in the Beta vulgaris root were studied to explore the mechanism that how the cornstalk biochar promoted Cd accumulation in Beta vulgaris. Biochar amendment reduced the DTPA-extractable Cd concentration and stimulated the growth of root. Compared to the Beta vulgaris without biochar treatment, the results of 5% biochar amendment showed that the root dry weight of Beta vulgaris increased to 267%, Cd accumulation in Beta vulgaris increased to 206% and the Cd concentration in leaves and roots increased by 36% and 52%, respectively. Additionally, after 5% biochar was applied to soil, the total content of organic matter-bound Cd and residual Cd increased by 38%, while the content of Fe-Mn oxides-bound Cd decreased by 40%. Meanwhile, Cd may mainly bind to the root cell wall and the ratio of NaCl-extracted Cd to HAc-extracted Cd increased to 166% with 5% biochar amendment. According to our study, Cd in soil can be removed by Beta vulgaris and phytoremediation efficiency can be improved with biochar amendment. The combination of phytoremediation and biochar amendment is a promising strategy for the Cd-contaminated soil remediation.

Association of lnc-IL17RA-11 with increased radiation sensitivity and improved prognosis of HPV-positive HNSCC.

Human papillomavirus (HPV) associated head and neck squamous cell carcinoma (HNSCC) has a far better prognosis than HPV negative HNSCC. Recent studies suggest that long noncoding RNA (lncRNA) moieties may play a role in HPV associated differential HNSCC prognoses. In this study, we examined differential expression of lncRNAs in HPV+ vs HPV- HNSCC using The Cancer Genome Atlas database. LncRNAs were categorized based on expression level and survival analysis. A group of eight lncRNAs was identified in which altered expression was associated with both HPV infection and better prognosis. Subsequently, genes coexpressed with these lncRNAs in HNSCC cells were sorted into corresponding co-expression modules. The lnc-IL17RA-11 coexpression module exhibited the greatest correlation with HPV infection and radiotherapy efficacy. We identified the lnc-IL17RA-11 transcription factor ER-alpha as the most likely HPV infection associated factor promoting increased lnc-IL17RA-11 levels. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analysis revealed enrichment among lnc-IL17RA-11 co-expressed genes for functions related to DNA replication and cell proliferation. These observations are consistent with a model in which HPV infection upregulates transcription factor ER-alpha, which increases levels of lnc-IL17RA-11 and coexpressed genes that promote HNSCC cell sensitivity to radiotherapy, thereby improving disease prognosis.

DisV-HPV16, versatile and powerful software to detect HPV in RNA sequencing data.

BACKGROUND: The increasing availability of high-throughput sequencing data provides researchers with unprecedented opportunities to investigate viral genetic elements in host genomes that contribute to virus-linked cancers. Almost all of the available computational tools for secondary analysis of sequencing data detect viral infection or genome integration events. However, viral oncogenes expression is likely of importance in carcinoma. We therefore developed a new software, DisV-HPV16, for the evaluation of HPV16 oncogenes expression. RESULTS: HPV16 virus and viral oncogenes expression was detected more rapidly using DisV-HPV16 compared to other software. DisV-HPV16 was proved highly convenient for detecting candidate virus after modification of the reference file. The accuracy of DisV-HPV16 was empirically confirmed in laboratory experiments. DisV-HPV16 exhibited greater reliability than other software. CONCLUSIONS: DisV-HPV16 is a new, dependable software to detect virus and viral oncogenes expression through analysis of RNA sequencing data. Use of DisV-HPV16 can yield deeper, more comprehensive insights into virus infection status and viral and host cell gene expression.

Prevalence and Prognostic Significance of HPV in Laryngeal Squamous Cell Carcinoma in Northeast China.

BACKGROUND/AIMS: Human papillomavirus (HPV) is an etiological risk factor for a subset of head and neck squamous cell carcinomas. HPV has been proven to be a powerful prognostic biomarker for oropharyngeal cancer, but its role in the larynx has not been explored in depth. Here, we sought to evaluate the prevalence and genotype distribution of HPV in patients with laryngeal squamous cell carcinoma (LSCC) in northeast China. METHODS: HPV DNA in specimens from 211 patients diagnosed with LSCC was analyzed by the polymerase chain reaction and in situ hybridization, and p16 overexpression was evaluated by immunohistochemistry. p16 expression was scored positive if strong and diffuse nuclear and cytoplasmic staining was present in > 75% of tumor cells. RESULTS: In this study, infection with HPV and p16 expression were not absolutely consistent. Among all patients, 132 (62.6%) were positive for HPV DNA (HPV+), while 23 (10.9%) were inconsistent for HPV and p16. Multivariate analysis indicated that HPV, but not p16, is an independent prognostic factor for overall survival in LSCC. Overall survival was significantly improved in HPV+ LSCC patients compared with the HPV-negative group (hazard ratio, 0.395; 95% confidence interval, 0.185-0.843; p = 0.016). Among the 132 HPV+ patients, 28 (21.2%) were HPV-16 single infection. CONCLUSION: This study indicates that HPV DNA is a more reliable surrogate marker than p16 for the prediction of survival in patients with LSCC.

Cu2Te-Ag2Te lateral topological insulator heterojunction: stability and properties.

Different from most of the two-dimensional (2D) topological insulators (TIs) with small bulk band gaps, 2D TIs of Cu2Te and Ag2Te have been found to exhibit sizeable bulk gaps with potentials for device applications in room-temperature. Here we have further explored the stability and electronic properties of a lateral heterojunction consisting of Cu2Te and Ag2Te. We have found that this heterojunction has buckled geometrical configuration that is dynamically stable, and it is a TI as identified by calculating the Z 2 topological invariant and the edge states. The band gap of the lateral heterojunction is between those of pristine Cu2Te and Ag2Te sheets, and it can be effectively tuned by varying the relative width of the two ribbons in this heterojunction.

Interwall Friction and Sliding Behavior of Centimeters Long Double-Walled Carbon Nanotubes.

Here, we studied the interwall friction and sliding behaviors of double-walled carbon nanotubes (DWCNTs). The interwall friction shows a linear dependence on the pullout velocity of the inner wall. The axial curvature in DWCNTs causes the significant increase of the interwall friction. The axial curvature also affects the sliding behavior of the inner wall. Compared with the axial curvature, the opening ends of DWCNTs play tiny roles in their interwall friction.

A bibliometric study of the nasopharyngeal cancer immunotherapy knowledge map.

Nasopharyngeal carcinoma (NPC) is one of the most common malignant tumors, and stages III and IV are frequently diagnosed. In recent years, immunotherapy has achieved remarkable results in recurrent/metastatic NPC, and many studies related to immunotherapy for NPC have been published. However, to date, no relevant bibliometric studies have been published. The trends and research focus on NPC immunotherapy are analyzed in this study through bibliometric analysis, which is conducive to better understanding the status quo and future trends of immunotherapy for NPC. The Web of Science Core Collection was used to collect literature on NPC immunotherapy. These publications were analyzed using bibliometric methods from the aspects of country/region, institution, author (co-cited author), journal (co-cited journal), references, and keywords to determine the research focus and trends in the field. A total of 510 English studies were published between January 1, 2000 and September 1, 2023. The number of articles published increased rapidly in 2016. China ranked first in the number of publications (n = 254), followed by the United States (n = 127). Sun Yat-sen University had the largest number of publications (n = 74). In terms of authors, Comoli P is the most cited author among the co-cited authors. The journal publishing the largest number of studies on NPC immunotherapy is Frontiers in Oncology (impact factor (2022) = 4.7). Five of the top 10 highly cited publications came from China. Keyword analysis reveals that infiltrating lymphocytes, PD-L1, and the tumor microenvironment are recent research focuses on nasopharyngeal cancer immunotherapy. Immunotherapy research for nasopharyngeal cancer is a recent trend. Nasopharyngeal cancer immunotherapy research has mainly focused on immune checkpoint inhibitors and the tumor microenvironment. Notably, China has made significant contributions to this field.

Effect of anti-Müllerian hormone on early pregnancy loss in hormone replacement therapy-frozen-thawed embryo transfer cycles: An analysis including 6597 pregnant patients undergoing their first in vitro fertilization/intracytoplasmic sperm injection cycle.

OBJECTIVE: To investigate the relationship between anti-Müllerian hormone (AMH) level and early pregnancy loss in patients who underwent their first embryo transfer by hormone replacement therapy-frozen-thawed embryo transfer (HRT-FET) and analyze the threshold effect. METHODS: A retrospective cohort analysis was performed on pregnant women undergoing HRT-FET at the Reproductive Medical Center of Henan Provincial People's Hospital from January 2016 to December 2021. The patients were divided into four groups based on AMH concentration according to the Poseidon criteria: group A (≤1 µg/L), group B (1-≤2 µg/L), group C (2-≤6 µg/L), and group D (>6 µg/L). Univariate analysis, multivariate logistic regression analysis, smooth curve fitting, and threshold effect analysis were applied to investigate the influence of AMH on the outcome of early pregnancy loss in in vitro fertilization/intracytoplasmic sperm injection and HRT-FET cycles. RESULTS: Of the 6597 pregnant women, early pregnancy loss occurred in 893, giving an early pregnancy loss rate of 13.54%. Univariate regression analysis demonstrated that age, female body mass index, AMH, antral follicle count, endometrial thickness at endometrial transformation day, total retrieved oocyte number, number of pregnancies, duration of infertility, type of infertility, and the number of embryos transferred were all factors influencing the early pregnancy loss rate (P < 0.050). Multivariate logistic regression analysis, after adjusting for confounders, further stratified the analysis of patients of different ages. With group A as the control group, the results showed that when age was younger than 35 years, the pregnancy loss rates in groups B, C, and D were lower than that in group A, with statistical significance (P < 0.050); when age was 35 years or older, there was no statistically significant difference in outcome indicators between the groups (P > 0.050). A threshold effect analysis revealed that the AMH threshold was 2.83 µg/L. When the AMH concentration was less than 2.83 µg/L, the early pregnancy loss rate decreased significantly with increasing AMH concentration; the early pregnancy loss rate decreased by 21% for each unit increase in AMH (odds ratio 0.79; 95% confidence interval 0.71-0.88; P < 0.001); when the AMH concentration was 2.83 µg/L or more, there was no statistical difference in the change in early pregnancy loss rate (odds ratio 1.01; 95% confidence interval 0.99-1.03; P = 0.383). CONCLUSION: For pregnant women after their first embryo transfer, there is a curvilinear relationship between the influences of AMH levels on early pregnancy loss rates in patients younger than 35 years. When the AMH level was less than 2.83 µg/L, the early pregnancy loss rate declined significantly with increasing AMH levels.

Association with pre-pregnancy BMI on early pregnancy loss in infertility patients in first HRT-FET cycles: A retrospective cohort study.

OBJECTIVE: To investigate the association between pre-pregnancy body mass index (BMI) and the early pregnancy loss rate in patients in first hormone replacement therapy-frozen-thawed embryo transfer (HRT-FET) cycles and find the threshold. METHODS: A retrospective cohort study was conducted using a total of 14030 HRT-FET cycles at the Reproductive Center from January 2017 to December 2021. The association of pre-pregnancy BMI on early pregnancy loss rate in patients in HRT-FET cycles was assessed by performing univariate analysis, multivariable logistic regression, curve fitting and threshold effect analysis. RESULTS: There were 2076 cycles of early pregnancy loss, and the pregnancy loss rate was 14.80%. After adjusting for confounding factors, the early pregnancy loss rate of the obese group was significantly higher than that of the normal weight group (P < 0.05). The threshold effect analysis showed that as the pre-pregnancy BMI ranged from 21.2 to 25.8 kg/m2, the early pregnancy loss rate came to the plateau phase at the low level. In addition, when the BMI was ≥ 25.8 kg/m2, the early pregnancy loss rate increased by 3% (aOR = 1.03, P = 0.01) with each 1 kg/m2 increment of BMI. CONCLUSION: The early pregnancy loss rate might achieve a low level when the pre-pregnancy BMI was within the range of 21.2- 25.8 kg/m2. The early pregnancy loss rate would increase when pre-pregnancy BMI is more than 25.8 kg/m2. For patients in HRT-FET cycles, adjusting their pre-pregnancy BMI to the optimal level by following a healthy diet and daily exercise may help to reduce the early pregnancy loss.

Computed tomography-based body composition indicative of diabetes after hypertriglyceridemic acute pancreatitis.

BACKGROUND: Post­acute pancreatitis prediabetes/diabetes mellitus (PPDM­A) is one of the common sequelae of acute pancreatitis (AP). The aim of our study was to build a machine learning (ML)-based prediction model for PPDM-A in hypertriglyceridemic acute pancreatitis (HTGP). METHODS: We retrospectively enrolled 165 patients for our study. Demographic and laboratory data and body composition were collected. Multivariate logistic regression was applied to select features for ML. Support vector machine (SVM), linear discriminant analysis (LDA), and logistic regression (LR) were used to develop prediction models for PPDM-A. RESULTS: 65 patients were diagnosed with PPDM-A, and 100 patients were diagnosed with non-PPDM-A. Of the 84 body composition-related parameters, 15 were significant in discriminating between the PPDM-A and non-PPDM-A groups. Using clinical indicators and body composition parameters to develop ML models, we found that the SVM model presented the best predictive ability, obtaining the best AUC=0.796 in the training cohort, and the LDA and LR model showing an AUC of 0.783 and 0.745, respectively. CONCLUSIONS: The association between body composition and PPDM-A provides insight into the potential pathogenesis of PPDM-A. Our model is feasible for reliably predicting PPDM-A in the early stages of AP and enables early intervention in patients with potential PPDM-A.

Global richness patterns of alpine genus Gentiana depend on multiple factors.

Environmental factors impact species richness differently across taxonomic groups, and understanding the geographic patterns and drivers influencing alpine plant richness remains limited. This study compiled global distribution data of 404 species of Gentiana, an alpine genus, and analyzed the relative effects of different environmental factors and several previously proposed models on the variation of Gentiana richness. By evaluating the effects of range size and regions on the relationships between Gentiana richness and environmental factors, we found that all tested environmental factors had weak effects on richness variation for all species and wide-ranging species, while habitat heterogeneity was the best predictor for narrow-ranging species. Habitat heterogeneity was the main driver of richness variation in Europe and Asia, but not in North America. The multiple regression model that included variables for energy, water, seasonality, habitat heterogeneity and past climate change had the highest explanatory power, but it still explained less than 50% of the variation in species richness for all Gentiana species at both global and regional scale, except for Europe. The limited explanatory power of environmental factors in explaining species richness patterns for all species, along with the variations observed among regions, suggest that other factors, such as evolutionary processes and biogeographic history may have also influenced the geographic patterns of Gentiana species richness. In conclusion, our results indicate a limited influence of climate factors on alpine species richness, while habitat heterogeneity, along with its impacts on speciation and dispersal, likely play significant roles in shaping the richness of alpine Gentiana species.

Electrochemical deconstruction of alkyl substituted boron clusters to produce alkyl boronate esters.

Closo-Hexaborate (closo-B6H62-) can engage in nucleophilic substitution reactions with a wide variety of alkyl electrophiles. The resulting functionalized boron clusters undergo oxidative electrochemical deconstruction, selectively cleaving B-B bonds while preserving B-C bonds in these species. This approach allows the conversion of multinuclear boron clusters into single boron site organoboranes. Trapped boron-based fragments were isolated from the electrochemical cluster deconstruction process, providing further mechanistic insights into the developed reaction.

Development of an indirect ELISA for detecting Toxoplasma gondii IgG antibodies based on a recombinant TgIMP1 protein.

Toxoplasma gondii (T. gondii) is widely spread around the world, which can cause serious harm to immunosuppressed patients. Currently, the commercial test kits are poor at assessing T. gondii infection and vaccine effectiveness, making an urgent need to exploit effective enzyme-linked immunosorbent assay with great performance to compensate for this deficiency. Here, the TgIMP1 recombinant protein was expressed in E. coli BL(21) cells. The TgIMP1 was purified with affinity chromatography and the reactivity was retained with anti-TgIMP1 antibodies. The TgIMP1 was then used to develop an indirect ELISA (IMP1-iELISA) and the reaction conditions of IMP1-iELISA were optimized. As a result, the cut-off value was determined to be 0.2833 by analyzing the OD450nm values of forty T. gondii-negative sera. The coefficient of variation of 6 T. gondii-positive sera within and between runs were both less than 10%. The IMP1-iELISA was non-cross-reactive with the sera of cytomegalovirus, herpes virus, rubella virus, Cryptosporidium spp., Theileria spp., Neospora spp. and Plasmodium spp.. Furthermore, the sensitivity and specificity of IMP1-iELISA were 98.9% and 96.7%, respectively, based on testing 150 serum samples. The results suggest that this IMP1-iELISA is specific, sensitive, repeatable and can be applied to the detection of T. gondii infections in the medical and health industries.

Radiological education in the era of artificial intelligence: A review.

In the era of artificial intelligence (AI), a great deal of attention is being paid to AI in radiological practice. There are a large number of AI products on the radiological market based on X-rays, computed tomography, magnetic resonance imaging, and ultrasound. AI will not only change the way of radiological practice but also the way of radiological education. It is still not clearly defined about the exact role AI will play in radiological practice, but it will certainly be consolidated into radiological education in the foreseeable future. However, there are few literatures that have comprehensively summarized the attitudes, opportunities and challenges that AI can pose in the different training phases of radiologists, from university education to continuing education. Herein, we describe medical students' attitudes towards AI, summarize the role of AI in radiological education, and analyze the challenges that AI can pose in radiological education.