N6-methyladenosine levels in peripheral blood RNA: a potential diagnostic biomarker for colorectal cancer.

BACKGROUND: N6-methyladenosine (m6A) is dysregulated in various cancers, including colorectal cancer (CRC). Herein, we assess the diagnostic potential of peripheral blood (PB) m6A levels in CRC. METHODS: We collected PB from healthy controls (HCs) and patients with CRC, analyzed PB RNA m6A levels and the expression of m6A-related demethylase genes FTO and ALKBH5, cocultured CRC cells with PB mononuclear cells (PBMCs), and constructed an MC38 cancer model. RESULTS: PB RNA m6A levels were higher in the CRC than that in HCs. The area under the curve (AUC) of m6A levels (0.886) in the CRC was significantly larger compared with carbohydrate antigen 199 (CA199; 0.666) and carcinoembryonic antigen (CEA; 0.834). The combination of CEA and CA199 with PB RNA m6A led to an increase in the AUC (0.935). Compared with HCs, the expression of FTO and ALKBH5 was decreased in the CRC. After coculturing with CRC cells, the PBMCs RNA m6A were significantly increased, whereas the expression of FTO and ALKBH5 decreased. Furthermore, m6A RNA levels in the PB of MC38 cancer models were upregulated, whereas the expression of FTO and ALKBH5 decreased. CONCLUSIONS: PB RNA m6A levels are a potential diagnostic biomarker for patients with CRC.

Development and application of Chinese medical ontology for diabetes mellitus.

OBJECTIVE: To develop a Chinese Diabetes Mellitus Ontology (CDMO) and explore methods for constructing high-quality Chinese biomedical ontologies. MATERIALS AND METHODS: We used various data sources, including Chinese clinical practice guidelines, expert consensus, literature, and hospital information system database schema, to build the CDMO. We combined top-down and bottom-up strategies and integrated text mining and cross-lingual ontology mapping. The ontology was validated by clinical experts and ontology development tools, and its application was validated through clinical decision support and Chinese natural language medical question answering. RESULTS: The current CDMO consists of 3,752 classes, 182 fine-grained object properties with hierarchical relationships, 108 annotation properties, and over 12,000 mappings to other well-known medical ontologies in English. Based on the CDMO and clinical practice guidelines, we developed 200 rules for diabetes diagnosis, treatment, diet, and medication recommendations using the Semantic Web Rule Language. By injecting ontology knowledge, CDMO enhances the performance of the T5 model on a real-world Chinese medical question answering dataset related to diabetes. CONCLUSION: CDMO has fine-grained semantic relationships and extensive annotation information, providing a foundation for medical artificial intelligence applications in Chinese contexts, including the construction of medical knowledge graphs, clinical decision support systems, and automated medical question answering. Furthermore, the development process incorporated natural language processing and cross-lingual ontology mapping to improve the quality of the ontology and improved development efficiency. This workflow offers a methodological reference for the efficient development of other high-quality Chinese as well as non-English medical ontologies.

Discovery of quality markers of Phyllanthus emblica by integrating chromatographic fingerprint, serum pharmacochemistry and network pharmacology.

Phyllanthus emblica (P. emblica) is a vital medicinal plant with both medical and edible values. In the quality standard of P. emblica listed by the Chinese Pharmacopoeia, gallic acid is used as the index component for the content determination. However, a large number of tannin components can be decomposed into gallic acid during its refluxing extraction process, thus affecting the accuracy and specificity of the content determination. Thus, the index component used for the quality control needs to be further determined. In this study, the quality markers of P. emblica was specified by integrating chromatographic fingerprint, serum pharmacochemistry and network pharmacology. The chromatographic fingerprint of 18 batches of P. emblica samples were established by ultra-high-performance liquid chromatography (UPLC), and 8 differential components causing quality fluctuation were identified by chemometric analysis and UPLC-Q-TOF/MS analysis. Afterwards, 14 prototype migration components absorbed into the blood after gavage administration to rats were identified by UPLC-Q-TOF/MS analysis. Subsequently, a network pharmacology approach was used to construct the component-target-disease-pathway network, resulting in the identification of 22 components responsible for efficacy of P. emblica. Finally, by integrating the above results, ellagic acid was screened out as one of the Q-markers and could be employed as a quantitative component of P. emblica to improve the quality standard. The strategy is also informative for discovering Q-markers of other TCMs.

The Diagnostic and Prognostic Value of the Combination of Tumor M2-Pyruvate Kinase, Carcinoembryonic Antigen, and Cytokeratin 19 Fragment in Non-Small Cell Lung Cancer.

Objective: Finding biomarkers related to non-small cell lung cancer (NSCLC) is helpful for the diagnosis and precise treatment of lung cancer. The relationship between serum tumor M2-pyruvate kinase (TuM2-PK), carcinoembryonic antigen (CEA), and cytokeratin 19 fragment (CYFRA21-1) and NSCLC was analyzed. Methods: The serum levels of TuM2-PK, CEA, and CYFRA21-1 in 184 patients with the NSCLC group, 60 patients with the benign lung disease (BLD) group, and 90 healthy controls (HC) group were detected. The levels of TuM2-PK were measured by using an enzyme-linked immunosorbent assay. The detection methods of CEA and CYFRA21-1 were electrochemiluminescence. The receiver operating characteristic (ROC) curve was drawn to evaluate the diagnostic value of TuM2-PK, CEA, and CYFRA21-1 on NSCLC. The Kaplan-Meier survival curve was drawn to evaluate the survival status in NSCLC patients with different serum levels of TuM2-PK, CEA, and CYFRA21-1. Results: Serum levels of TuM2-PK, CEA, and CYFRA21-1 in the NSCLC group were significantly higher than those in the BLD group and the HC group (P < .01). Serum levels of TuM2-PK, CEA, and CYFRA21-1 in NSCLC patients were associated with the tumor lymph node metastasis stage (P < .05), lymph node metastasis (P < .05), and distant metastasis (P < .05). The ROC curve showed that the area under the curve of serum levels of TuM2-PK, CEA, and CYFRA21-1 was 0.814, 0.638, and 0.719, respectively, and that the combination of the above 3 was 0.918. The Kaplan-Meier survival curve showed that the 1-, 3- and 5-year survival rate in NSCLC patients with positive TuM2-PK, CEA, and CYFRA21-1 was significantly lower than that in NSCLC patients with negative TuM2-PK, CEA, and CYFRA21-1, respectively (P < .05). Conclusions: Serum TuM2-PK, CEA, and CYFRA21-1 levels have high clinical values in the diagnosis of NSCLC, and can effectively judge the prognosis of patients.

S100A6 mediated epithelial-mesenchymal transition affects chemosensitivity of colorectal cancer to oxaliplatin.

PURPOSE: To investigate the mechanism by which S100 calcium-binding protein A6 (S100A6) affects colorectal cancer (CRC) cells to oxaliplatin (L-OHP) chemotherapy, and to explore new strategies for CRC treatment. METHODS: S100A6 expression was assessed in both parental and L-OHP-resistant CRC cells using western blotting, quantitative real-time polymerase chain reaction (qRT-PCR), and enzyme-linked immunosorbent assays (ELISA). Lentiviral vectors were utilized to induce the knockdown of S100A6 expression, followed by comprehensive evaluations of cell proliferation, apoptosis, and epithelial-mesenchymal transition (EMT). Additionally, RNA-seq analysis was conducted to identify genes associated with the knockdown of S100A6. RESULTS: Elevated S100A6 expression in CRC tissues correlated with an adverse prognosis in patients with CRC. Higher expression of S100A6 was also observed in L-OHP-resistant CRC cells, which showed enhanced proliferation, migration, invasion, and antiapoptotic capabilities. Notably, the knockdown of S100A6 expression resulted in decreased proliferation, increased apoptosis, and suppression of EMT and tumorigenicity in L-OHP-resistant CRC cells. Transcriptome sequencing reveals a noteworthy association between S100A6 and vimentin expression. Application of the EMT agonist, transforming growth factor ß (TGF-ß), induces EMT in CRC cells. S100A6 expression positively correlates with TGF-ß expression. TGF-ß facilitated the expression of EMT-related molecules and reduced the chemosensitivity of L-OHP in S100A6-knockdown cells. CONCLUSION: In conclusion, the knockdown of S100A6 may overcome the L-OHP resistance of CRC cells by modulating EMT.

Reversal Surgery for Split Stoma with Peristomal Incision is Associated with Improved Postoperative Outcome in Patients with Crohn's Disease.

BACKGROUND: Temporary stoma formation is common in Crohn's disease (CD), while stoma reversal is associated with postoperative morbidity. This study aimed to evaluate the postoperative outcomes of split stoma reversal, SSR (i.e., exteriorization of proximal and distal ends of the stoma through a small common opening) and end stoma closure, ESC (i.e., the proximal stump externalized, and distal end localized abdominally. METHODS: Patients with CD who underwent stoma reversal surgeries between January 2017 and December 2021 were included. Demographic, clinical, and postoperative data were collected and analyzed to evaluate outcomes of reversal surgery. RESULTS: A total of 255 patients who underwent stoma reversal surgeries met the inclusion criteria. SSR was superior to ESC in terms of operative time (80.0 vs. 120.0, p = 0.0004), intraoperative blood loss volume (20.0 vs. 100.0, p = 0.0002), incision length (3.0 vs. 15.0, p < 0.0001), surgical wound classification (0 vs. 8.3%, p = 0.04), postoperative hospital stay (7.0 vs. 9.0, p = 0.0007), hospital expense (45.6 vs. 54.2, p = 0.0003), and postoperative complications (23.8% vs. 44.3%, p = 0.0040). Although patients in the ESC group experienced more surgical recurrence than those in the SSR group (8.3% vs. 3.2%) during the follow-up, the Kaplan-Meier curve analysis revealed no statistical difference (p = 0.29). CONCLUSIONS: The split stoma can be recommended when stoma construction is indicated in patients with Crohn's disease.

Relationships between body image, dyadic coping and post-traumatic growth in breast cancer patients: a cross-sectional study.

Background: The diagnosis and treatment of cancer triggers not only a negative psychological response for the patient, but also a positive psychological outcome. Positive dyadic coping, as a form of coping for mental health outcomes, can maintain or reestablish internal stability between the patient and his or her spouse, resulting in positive physical and psychological changes. However, there is a paucity of research on body image, dyadic coping, and post-traumatic growth in breast cancer patients. The purpose of this study was to explore the relationship and pathways between body image, dyadic coping, and post-traumatic growth in breast cancer patients. Methods: A cross-sectional study was conducted from November 2022 to November 2023 at a tertiary care hospital in Wuxi, Jiangsu, China. This study was conducted among 154 breast cancer patients treated at the Affiliated Hospital of Jiangnan University, all of whom completed demographic and clinical information questionnaires, Body image self-rating questionnaire for breast cancer (BISQ-BC), Dyadic Coping Inventory (DCI) and Post Traumatic Growth Inventory (PTGI). A Pearson correlation analysis was used to explore the relationship between body image, dyadic coping, and post-traumatic growth. Structural equation modeling was used to analyze the path relationships among the three and to explore the mediating role of dyadic coping. Results: The level of body image was negatively correlated with post-traumatic growth (r = -0.462, p < 0.01); and the level of body image was negatively correlated with dyadic coping (r = -0.308, p < 0.01). And dyadic coping was positively associated with post-traumatic growth (r = 0.464, p < 0.01). The structural equation modeling results supported the mediation model with the following model fit indices, chi-square to degrees of freedom ratio (χ2/df = 2.05), goodness of fit index (GFI = 0.93), comparative fit index (CFI = 0.99), canonical fit index (NFI = 0.93), incremental fit index (IFI = 0.99), non-canonical fit index (TLI = 0.99) and the root mean square of the difference in approximation error (RMSEA = 0.03). Body image and dyadic coping directly affected post-traumatic growth (ß = -0.33, p < 0.05; ß = 0.43, p < 0.05). And body image indirectly influenced post-traumatic growth through dyadic coping (ß = -0.17, p < 0.05). Conclusion: Interconnections between body image, dyadic coping, and post-traumatic growth in breast cancer patients. A preliminary validation of the mediating role of dyadic coping between body image and post-traumatic growth, body image can have an impact on dyadic coping, which in turn can have an impact on post-traumatic growth. Whereby higher levels of dyadic coping in patients may also be associated with higher levels of post-traumatic growth, whereas body image disturbance may impede levels of post-traumatic growth.

The EGR1/miR-139/NRF2 axis orchestrates radiosensitivity of non-small-cell lung cancer via ferroptosis.

Radiotherapy is one of the predominant treatment modalities for almost all kinds of malignant cancers, including non-small cell lung cancer (NSCLC). Increasing evidence shows that ionizing radiation (IR) induces reactive oxygen species (ROS) leading to lipid peroxidation and subsequently ferroptosis of cancer cells. However, cancer cells evolve multiple mechanisms against ROS biology resulting in resistance to ferroptosis and radiotherapy, of which NRF2 signaling is one of the most studied. In the current research, we identified that microRNA-139 (miR-139) could be a novel radiosensitizer for NSCLC by inhibiting NRF2 signaling. We found that miR-139 possessed great potential as a diagnostic biomarker for NSCLC and multiple other types of cancer. Overexpression of miR-139 increased radiosensitivity of NSCLC cells in vitro and in vivo. MiR-139 directly targeted cJUN and KPNA2 to impair NRF2 signaling resulting in enhanced IR-induced lipid peroxidation and cellular ferroptosis. We proved KPNA2 to be a binding partner of NRF2 that involved in nuclear translocation of NRF2. Moreover, we found that IR induced miR-139 expression through transcriptional factor EGR1. EGR1 bound to the promoter region and transactivated miR-139. Overall, our findings elucidated the effect of EGR1/miR-139/NRF2 in IR-induced ferroptosis of NSCLC cells and provided theoretical support for the potential diagnostic biomarkers and therapeutic targets for the disease.

Rapid review: A review of methods and recommendations based on current evidence.

Rapid review (RR) could accelerate the traditional systematic review (SR) process by simplifying or omitting steps using various shortcuts. With the increasing popularity of RR, numerous shortcuts had emerged, but there was no consensus on how to choose the most appropriate ones. This study conducted a literature search in PubMed from inception to December 21, 2023, using terms such as "rapid review" "rapid assessment" "rapid systematic review" and "rapid evaluation". We also scanned the reference lists and performed citation tracking of included impact studies to obtain more included studies. We conducted a narrative synthesis of all RR approaches, shortcuts and studies assessing their effectiveness at each stage of RRs. Based on the current evidence, we provided recommendations on utilizing certain shortcuts in RRs. Ultimately, we identified 185 studies focusing on summarizing RR approaches and shortcuts, or evaluating their impact. There was relatively sufficient evidence to support the use of the following shortcuts in RRs: limiting studies to those published in English-language; conducting abbreviated database searches (e.g., only searching PubMed/MEDLINE, Embase, and CENTRAL); omitting retrieval of grey literature; restricting the search timeframe to the recent 20 years for medical intervention and the recent 15 years for reviewing diagnostic test accuracy; conducting a single screening by an experienced screener. To some extent, the above shortcuts were also applicable to SRs. This study provided a reference for future RR researchers in selecting shortcuts, and it also presented a potential research topic for methodologists.

Degradation of Complex Carbon Sources in Organic Fertilizers Facilitates Nitrogen Fixation.

Biological nitrogen fixation is crucial for agriculture and improving fertilizer efficiency, but organic fertilizers in enhancing this process remain debated. Here, we investigate the impact of organic fertilizers on biological nitrogen fixation through experiments and propose a new model where bacterial interactions with complex carbon sources enhance nitrogen fixation. Field experiments showed that adding organic fertilizers increased the nitrogenase activity by 57.85%. Subculture experiments revealed that organic fertilizer addition enriched genes corresponding to complex carbon and energy metabolism, as well as nifJ involved in electron transfer for nitrogenase. It also enhanced bacterial interactions and enhanced connectors associated with complex carbon degradation. Validation experiments demonstrated that combinations increased nitrogenase activity by 2.98 times compared to the single. Our findings suggest that organic fertilizers promoted nitrogen fixation by enhancing microbial cooperation, improved the degradation of complex carbon sources, and thereby provided utilizable carbon sources, energy, and electrons to N-fixers, thus increasing nitrogenase activity and nitrogen fixation.

An advanced 3D DNA nanoplatform for spatiotemporally confined enhanced dual-mode biosensing MicroRNA in cancer cell.

Dual-mode signal output platforms have demonstrated considerable promise due to their improved anti-interference capability and inherent signal self-correction. Nevertheless, traditional discrete-distributed signal probes often encounter significant drawbacks, including limited mass transfer efficiency, diminished signal strength, and instability in intricate biochemical environments. In response to these challenges, a scalable and hyper-compacted 3D DNA nanoplatform resembling "periodic focusing heliostat" has been developed for synergistically enhanced fluorescence (FL) and surface-enhanced Raman spectroscopy (SERS) biosensing of miRNA in cancer cells. Our approach utilized a distinctive assembly strategy integrating gold nanostars (GNS) as fundamental "heliostat units" linked by palindromic DNA sequences to facilitate each other hand-in-hand cascade alignment and condensed into large scale nanostructures. This configuration was further augmented by the incorporation of gold nanoparticles (GNP) via strong Au-S bonds, resulting in a sturdy framework for improved signal transduction. The initiation of this assembly process was mediated by the hybridization of dsDNA to miRNA-21, which served as a primer for polymerization and nicking reactions, thus generating a multifunctional T2 probe. This probe is intricately designed with three distinct parts: a 3'-palindromic end for structural integrity, a central region for capturing SERS-active probes (Cy3-P2), and a 5'-segment for attaching fluorescence reporters. Upon integration T2 into the GNS-based heliostat unit, it promotes palindromic arm-induced aggregation and plasma exciton coupling between plasma nanoparticles and signal transduction tags. This clustered arrangement creates a high-density "hot spot" array that maximizes the local electromagnetic fields necessary for enhanced SERS and FL response. This superstructure supports enhanced aggregation-induced signal amplification for both SERS and FL, offering exceptional sensitivity with LOD as low as 0.0306 pM and 0.409 pM. The efficacy of this method was demonstrated in the evaluation of miRNA-21 in various cancer cell lines.

Boosting CO2 electrocatalysis through electrical double layer regulations.

Interfacial investigation for fine-tuning microenvironment has recently emerged as a promising method to optimize the electrochemical CO2 reduction system. The electrical double layer located at the electrode-electrolyte interface presents a particularly significant impact on electrochemical reactions. However, its effect on the activity and selectivity of CO2 electrocatalysis remains poorly understood. Here, we utilized two-dimensional mica flakes, a material with a high dielectric constant, to modify the electrical double layer of Ag nanoparticles. This modification resulted in a significant enhancement of current densities for CO2 reduction and an impressive Faradaic efficiency of 98% for CO production. Our mechanistic investigations suggest that the enhancement of the electrical double layer capacitance through mica modification enriched local CO2 concentration near the reaction interface, thus facilitating CO2 electroreduction.

Virtual sketching-based dental anatomy module improves learners' abilities to use computer-aided design to create dental restorations and prostheses.

Dental anatomy education for dental technology students should be developed in alignment with digital dental laboratory practices. We hypothesized that a virtually assisted sketching-based dental anatomy teaching module could improve students' acquisition of skills essential for digital restoration design. The second-year dental technology curriculum included a novel virtual technology-assisted sketching-based module for dental anatomy education. Pre- and post-course assessments evaluated students' skill sets and knowledge bases. Computer-aided design (CAD) scores were analyzed after one year to assess how the skills students developed through this module impacted their subsequent CAD performance. Participants who undertook the dental sketching-based teaching module demonstrated significantly improved theoretical knowledge of dental anatomy, dental aesthetic perception, and spatial reasoning skills. A partial least squares structural equation model indicated that the positive effects of this module on subsequent CAD performance were indirectly mediated by dental aesthetic perception, spatial reasoning, and practice time. A virtually assisted sketching-based dental anatomy teaching module significantly improved students' acquisition of skills and knowledge and positively mediated dental technology students' CAD performance.