Abstract Objectives This prospective clinical study aimed to evaluate the accuracy and 1‐year clinical follow‐up performance of dental implant placement with an autonomous dental implant robot (ADIR) system in full‐arch implant surgery. Materials and Methods Twelve patients with edentulous arches or final dentition received 102 implants using the ADIR system. Global platform deviation, global apex deviation, and global angular deviation between the planned and actual implants were calculated after surgery. Data were statistically analyzed for factors including jaws, implant positions, patient sequences, implant systems, and implant length. Surgery duration was recorded. Patients were followed for 3 months and 1 year after surgery. Periodontal parameters, buccal bone thickness (BBT), and facial vertical bone wall peak (IP‐FC) were recorded. Results Among the 102 implants, the mean (SD) global platform deviation, global apex deviation, and global angular deviation were 0.53 (0.19) mm, 0.58 (0.17) mm, and 1.83 (0.82)°, respectively. The deviation differences between the mandible and maxilla did not show statistical significance ( p > .05). No statistically significant differences were found for the jaws, implant positions, patient sequences, implant systems, and implant length to the deviations ( p > .05). The periodontal parameters, the BBT, and IP‐FC remained stable during 1‐year follow‐up. Conclusion The ADIR system showed excellent positional accuracy. The 1‐year follow‐up after full‐arch implant surgery indicated that the ADIR system could achieve promising clinical performance. Additional clinical evidence is requisite to furnish guidelines for the implementation of the ADIR system in full‐arch implant surgery.
To investigate the association of the plasma level of cytokines and blood routine indexes with clinical characteristics in patients with cancer.We analyzed plasma samples derived from 134 cancer patients. Interleukins (IL) 1β, 2, 4, 5, 6, 8, 10, 12p70, 17, IFN-γ, IFN-α, and TNF-α, and blood routine indexes were measured. The associations of the levels of cytokine and blood routine indexes with demographic and clinical characteristics of cancer patients were analyzed. Partial least-squares discriminant analysis was employed to identify cancer metastasis using these plasma cytokine metrics as input. We compared the predictive effectiveness of numeric machine learning algorithms using these indexes and showed a promising model implemented with random forest.Plasma levels of IL-6 and IL-8 in cancer patients with metastases were higher than those without metastases (P < 0.05). Cancer patients without metastases had significantly higher levels of plasma IL-12p70 and percentage of lymphocytes as compared with those with metastases (P < 0.05). Our random forest model showed the highest prediction performance (upper quantile AUC, 0.885) among the six machine learning algorithms we evaluated.Our findings suggest that plasma levels of IL-6, IL-8, and IL-12p70 and the percentage of lymphocytes could predict the recurrence, metastasis, and progression of cancer. Our findings will provide guidance for tumor monitoring and treatment.
Dinitrotoluene sulfonates (DNTSes) are highly toxic hazards regulated by the Resource Conservation and Recovery Act (RCRA) in the United States. The trinitrotoluene (TNT) red water formed during the TNT purification process consists mainly of DNTSes. Certain plants, including switchgrass, reed and alfalfa, can detoxify low concentrations of DNTS in TNT red water-contaminated soils. However, the precise mechanism by which these plants detoxify DNTS remains unknown. In order to aid in the development of phytoremediation resources with high DNTS removal rates, we identified and characterized 1-hydroxymethyl-2,4-dinitrobenzene sulfonic acid (HMDNBS) and its glycosylated product HMDNBS O-glucoside as the degradation products of 2,4-DNT-3-SO
The present study described two new Nostoc species, Nostoc favosum (CHAB5709, CHAB5713, and CHAB5714) and Nostoc mirabile (CHAB5756 and CHAB5784) based on the polyphasic approach combining morphological, genetic and ecological characteristics.Five investigated strains were found to possess morphological features of the Nostoc genus.Results showed that the 16S rRNA gene sequences of these five strains displayed ≥ 95%, and ≤ 98% similarity to the genus Nostoc.The 16S rRNA gene phylogenetic analysis inferred using bayesian inference, maximum-likelihood and neighbour-joining methods placed these five strains on two separate nodes away from other Nostoc species.The 16S-23S rRNA internal transcribed spacer (ITS) secondary structure of two new species showed a unique pattern of D1-D1′, Box-B and V3 helix, which distinguished them from other Nostoc species.And the two species were further established by percent dissimilarity of ITS between another Nostoc species.
To address the limitations of current starch-based food packaging materials, this study develops a novel sustainable material-honeysuckle hybrid particle-enhanced starch active fiber film (LNC). Derived from lily starch, this film is a promising green material for food preservation. The film's functionality was enhanced by integrating honeysuckle essential oil and chitosan-ZnO composite hybrid particles, while cellulose nanofibers were used to create a stable network structure. Honeysuckle essential oil was analyzed, identifying 40 main compounds, with linalool as the predominant component (48.41%). Subsequently, honeysuckle essential oil hybrid particles (CZH) were successfully developed. Using lily starch as the matrix, the effects of honeysuckle essential oil, CZH, and cellulose nanofibers (CNF) on the film's properties were investigated, leading to the fabrication of functional composite films (LNCs). The results indicated that CZH and CNF significantly enhanced the molecular structure, crystallinity, thermal stability, surface hydrophobicity (contact angle θ > 103°), and tensile strength (37.31 MPa) of the films. Additionally, CZH improved the film's UV-blocking capacity (UV-blocking rate of 85.92%), and LNC exhibited superior gas barrier properties. This study demonstrates that lily starch-based composite films possess exceptional mechanical, optical, and barrier properties, thereby highlighting their potential for use in functional food packaging applications.
Background: Aberrant glycosylation is significantly related to the occurrence, progression, metastasis, and drug resistance of tumors. It is essential to identify glycosylation and related genes with prognostic value for breast cancer. Objective: We aimed to construct and validate a prognostic model based on glycosylation and related genes, and further investigate its prognosis values in validation set and external independent cohorts. Materials and Methods: The transcriptome and clinical data of breast cancer patients were downloaded from The Cancer Genome Atlas (TCGA, n = 1072), Molecular Taxonomy of Breast Cancer International Consortium (METABRIC, n = 1451), and GSE2741 (n = 120). Glycosylation-related genes were downloaded from the Genecards website. Differentially expressed glycosylation-related geneswere identified by comparing the tumor tissues with the adjacent tissues. The TCGA data were randomly divided into training set and validation set in a 1:1 ratio for further analysis. The glycosylation risk-scoring prognosis model was constructed by univariate and multivariate Cox regression analysis, followed by confirmation in TCGA validation, METABRIC, and GEO datasets. Gene set enrichment analysis (GSEA) and Gene ontology analysis for identifying the affected pathways in the high- and low-risk groups were performed. Results: We attained 1072 breast cancer samples from the TCGA database and 786 glycosylation genes from the Genecards website. A signature contains immunoglobulin, glycosylation and anti-viral related genes was constructed to separate BRCA patients into two risk groups. Low-risk patients had better overall survival than high-risk patients (p < 0.001). A nomogram was constructed with risk scores and clinical characteristics. The area under time-dependent ROC curve reached 0.764 at 1 year, 0.744 at 3 years, and 0.765 at 5 years in the training set. Subgroup analysis showed differences in OS between the high- and low-risk patients in different subgroups. Moreover, the risk score was confirmed as an independent prognostic indicator of BRCA patients and was potentially correlated with immunotherapy response and drug sensitivity. Conclusion: We identified a novel signature integrated of immunoglobulin (IGHA2), glycosylation-related (SLC35A2) and anti-viral gene (BST2) that was an independent prognostic indicator for BRCA patients. The risk-scoring model could be used for predicting prognosis and immunotherapy in BRCA, thus providing a powerful instrument for combating BRCA.
Abstract Dinitrotoluene (DNT) has been extensively used in manufacturing munitions, polyurethane foams and other important chemical products. However, it is highly toxic and mutagenic to most organisms. Here, we synthesized a codon‐optimized bacterial nitroreductase gene, NfsI, for plant expression. The kinetic analysis indicates that the recombinant NfsI can detoxify both 2,4‐DNT and its sulfonate (DNTS), while it has a 97.6‐fold higher catalytic efficiency for 2,4‐DNT than DNTS. Furthermore, we overexpressed NfsI in switchgrass ( Panicum virgatum L.), which is a multiple‐purpose crop used for fodder and biofuel production as well as phytoremediation. The 2,4‐DNT treatment inhibited root elongation of wild‐type switchgrass plants and promoted reactive oxygen species (ROS) accumulation in roots. In contrast, overexpression of NfsI in switchgrass significantly alleviated 2,4‐DNT‐induced root growth inhibition and ROS overproduction. Thus, the NfsI overexpressing transgenic switchgrass plant removed 94.1% 2,4‐DNT after 6 days, whose efficiency was 1.7‐fold higher than control plants. Moreover, the comparative transcriptome analysis suggests that 22.9% of differentially expressed genes induced by 2,4‐DNT may participate in NfsI‐mediated 2,4‐DNT detoxification in switchgrass. Our work sheds light on the function of NfsI during DNT phytoremediation for the first time, revealing the application potential of switchgrass plants engineered with NfsI .
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