Machine learning-based diagnostic model for preoperative differentiation between xanthogranulomatous cholecystitis and gallbladder carcinoma: a multicenter retrospective cohort study.

Background: Xanthogranulomatous cholecystitis (XGC) and gallbladder carcinoma (GBC) share similar imaging and serological profiles, posing significant challenges in accurate preoperative diagnosis. This study aimed to identify reliable indicators and develop a predictive model to differentiate between XGC and GBC. Methods: This retrospective study involved 436 patients from Zhejiang Provincial People's Hospital and The Affiliated Lihuili Hospital of Ningbo University. Comprehensive preoperative imaging, including ultrasound, Computed Tomography (CT), Magnetic Resonance Imaging (MRI), and blood tests, were analyzed. Machine learning (Random Forest method) was employed for variable selection, and a multivariate logistic regression analysis was used to construct a nomogram for predicting GBC. Statistical analyses were performed using SPSS and RStudio software. Results: The study identified gender, Murphy's sign, absolute neutrophil count, glutamyl transpeptidase level, carcinoembryonic antigen level, and comprehensive imaging diagnosis as potential risk factors for GBC. A nomogram incorporating these factors demonstrated high predictive accuracy for GBC, outperforming individual or combined traditional diagnostic methods. External validation of the nomogram showed consistent results. Conclusion: The study successfully developed a predictive nomogram for distinguishing GBC from XGC with high accuracy. This model, integrating multiple clinical and imaging indicators, offers a valuable tool for clinicians in making informed diagnostic decisions. The findings advocate for the use of comprehensive preoperative evaluations combined with advanced analytical tools to improve diagnostic accuracy in complex medical conditions.

A Comparative Study of Laparoscopic and Open Approaches for Right Hemihepatectomy in Hepatocellular Carcinoma Patients: Safety and Short-Term Outcomes.

BACKGROUND Hepatocellular carcinoma (HCC) is a leading cause of cancer deaths worldwide, with China reporting over half of global cases. While traditional open liver resection is effective, it often results in large incisions and significant complications. Laparoscopic hepatectomy, particularly for right hemi-hepatectomy, features smaller incisions and quicker recovery, but its widespread adoption is hindered by its procedural complexity and a steep learning curve. This study compares the safety and efficacy of laparoscopic versus open right hemi-hepatectomy with an anterior approach in 57 patients with HCC. MATERIAL AND METHODS The data of patients with HCC who underwent treatment at our center from January 2016 to December 2020 were retrospectively analyzed. RESULTS We included a total of 57 patients with histopathologically-confirmed HCC - 23 in the laparoscopic group and 34 in the open group. Operation time was significantly shorter in the open group than in the laparoscopic group (234.5±66.9 vs 297.0±74.9, P=0.002). Intraoperative bleeding was significantly less in the laparoscopic group (P=0.042). There were no statistically significant differences in postoperative complications between the 2 groups. Postoperative hospital stay was significantly shorter in the laparoscopic group (12 days vs 15 days, P=0.044). There was no significant difference in postoperative overall survival (OS) and disease-free survival (DFS) between the 2 groups (P>0.05). CONCLUSIONS In patients with hepatocellular carcinoma, the laparoscopic right hemi-hepatectomy with the anterior approach technique has the same safety and comparable short-term outcomes as open surgery.

Engineering of targeting antioxidant polypeptide nanopolyplexes for the treatment of acute lung injury.

The pathogenesis of acute lung injury (ALI) involves various mechanisms, such as oxidative stress, inflammation, and epithelial cell apoptosis. However, current drug therapies face limitations due to issues like systemic distribution, drug degradation in vivo, and hydrophobicity. To address these challenges, we developed a pH-responsive nano-drug delivery system for delivering antioxidant peptides to treat ALI. In this study, we utilized low molecular weight chitosan (LMWC) and hyaluronic acid (HA) as carrier materials. LMWC carries a positive charge, while HA carries a negative charge. By stirring the two together, the electrostatic adsorption between LMWC and HA yielded aggregated drug carriers. To specifically target the antioxidant drug WNWAD to lung lesions and enhance therapeutic outcomes for ALI, we created a targeted drug delivery system known as HA/LMWC@WNWAD (NPs) through a 12-h stirring process. In our research, we characterized the particle size and drug release of NPs. Additionally, we assessed the targeting ability of NPs. Lastly, we evaluated the improvement of lung injury at the cellular and animal levels to investigate the therapeutic mechanism of this drug targeting delivery system.

The complete mitochondrial genome of Cuspidaria undata (Bivalvia, Anomalodesmata, Cuspidariidae).

The mitochondrial genome of Cuspidaria undata (Verrill, 1884) was sequenced in full using Illumina HiSeq 2500. The circular mitochondrial DNA (mtDNA) was 16,266 bp in size, encoded 37 genes, and contained 13 protein-coding genes (PCGs), 2 rRNAs and 22 tRNAs. The gene order of the 13 PCGs in this species exhibited extensive rearrangement and differences in comparison to other Cuspidariidae, indicating that gene order is not conserved within this family. Phylogenetic analysis based on 13 PCGs and 2 rRNAs recovered a monophyletic Cuspidariidae.

Molecular Cloning and Expression Analysis of the Cryptochrome Gene CiPlant-CRY1 in Antarctic Ice Alga Chlamydomonas sp. ICE-L.

Cryptochrome (CRY) is a kind of flavin-binding protein that can sense blue light and near-ultraviolet light, and participates in the light response of organisms and the regulation of the circadian clock. The complete open reading frame (ORF) of CiPlant-CRY1 (GenBank ID OM389130.1), encoding one kind of CRY, was cloned from the Antarctic ice alga Chlamydomonas sp. ICE-L. The quantitative real-time PCR study showed that the expression level of the CiPlant-CRY1 gene was the highest at 5 °C and salinity of 32‱. CiPlant-CRY1 was positively regulated by blue or yellow light, suggesting that it is involved in the establishment of photomorphology. The CiPlant-CRY1 gene can respond to polar day and polar night, indicating its expression is regulated by circadian rhythm. The expression level of CiPlant-CRY1 was most affected by UVB irradiation, which may be related to the adaptation of ice algae to a strong ultraviolet radiation environment. Moreover, the recombinant protein of CiPlant-CRY1 was expressed by prokaryotic expression. This study may be important for exploring the light-induced rhythm regulation of Antarctic ice algae in the polar marine environment.

[Exploration on mechanism of anti-influenza virus activity of genus Paeonia based on network pharmacology].

This paper aimed to investigate the anti-influenza virus activity of the genus Paeonia, screen potential anti-influenza virus compounds and predict targets of anti-influenza virus to explore the mechanism of anti-influenza virus activity. First of all, a total of 301 compounds of the genus Paeonia were summarized from the literatures in recent ten years. The candidate active ingredients from the genus Paeonia were identified by database such as PubChem and Chemical Book. The ligands were constructed by ChemDraw, Avogadro and Discovery Studio Visualizer. Secondly, 23 potential anti-influenza virus targets were developed by combining the target database and the literatures. Uniprot database was used to find the anti-influenza virus targets, and RCSB was used to identify targets associated with anti-influenza virus activity as docked receptor proteins. QuickVina 2.0 software was used for molecular docking. Finally, the Cytoscape 3.5.1 software was used to map the potential activity compounds of the genus Paeonia against influenza virus and the anti-influenza virus target network. Uniprot online database was used to analyze the target GO enrichment and KEGG metabolic pathways. The results showed that 74 compounds of the genus Paeonia had anti-influenza virus effect and 18 potential anti-influenza virus targets were screened. GO analysis concluded that the mechanism of the genus Paeonia anti-influenza virus is consistent with the mechanism of NA anti-influenza virus in order to stop the sprouting, dispersion and diffusion of virus and reduce the ability of virus to infect, so that the infection can be restricted so as to achieve the anti-influenza virus effect.

[Exploration on antibacterial activity and mechanism of flowers and leaves from Paeonia rockii based on network pharmacology].

This paper aimed to investigate the antibacterial activity of flowers and leaves from Paeonia rockii, screen antibacterial compounds and predict targets of antibacterial to explore its multi-component, multi-target antibacterial mechanism. In this study, minimal inhibitory concentration(MIC) of seven strains of Staphylococcus aureus, S. epidermidis， Bacillus subtilis, B. cereus, Escherichia coli, Klebsiella pneumoniae and Pseudomonas aeruginosa were determined by microdilution method. Uniprot databases was used to find the antibacterial targets, and RCSB was used to identify targets associated with antimicrobial activity as docked receptor proteins. The candidate active ingredients from flowers and leaves of P. rockii were identified by database such as PubChem. The ligands were constructed by ChemDraw, Avogadro and Discovery Studio Visualizer. QuickVina 2.0 software was used to molecular docking. Besides, the Cytoscape 3.5.1 software was used to construct activity compounds of flowers and leaves from P. rockii ingredients-targets network, and Uniprot software was used to analyze gene ontology and KEGG pathway. In vitro antibacterial experiments found antibacterial effect of the flowers and leaves from P. rockii, especially methanol extraction of flowers has the strongest antibacterial effect. The network pharmacology indicated that total 29 activity ingredients and their 18 targets were screened in flowers and leaves from P. rockii. Comparison of the active ingredients and the number of antimicrobial target networks, it is predicted that the antibacterial components are mainly flavonoids and phenolic acids and main mechanism of antibacterial is to inhibit the synthesis of bacterial proteins. In this study, potential antibacterial activity of flowers and leaves from P. rockii has be found by antibacterial experiments in vitro and network pharmacology screening. And this study provides new clues for further basic study on the antibacterial agents of flowers and leaves from P. rockii.

In Vitro and In Vivo Antioxidant Activities of the Flowers and Leaves from Paeonia rockii and Identification of Their Antioxidant Constituents by UHPLC-ESI-HRMSn via Pre-Column DPPH Reaction.

The genus Paeonia, also known as the "King of Flowers" in China, is an important source of traditional Chinese medicine (TCM). Plants of this genus have been used to treat a range of cardiovascular and gynecological diseases. However, the potential pharmacological activity of one particular species, Paeonia rockii, has not been fully investigated. In the first part of the present study, 2,2-diphenyl-1-picrylhydrazyl (DPPH), 2,2'-azino-bis-(3-ethylbenzothiazoline-6-sulfonic) acid (ABTS), reducing power assays, and metal ion chelating assays were used to investigate the in vitro antioxidant activities of Paeonia rockii. In the second portion of the study, a mouse model of d-galactose-induced aging was used to validate the antioxidant effects of the flowers from Paeonia rockii in vivo. Lastly, potential antioxidant constituents were screened and identified by ultra-high pressure liquid chromatography and electrospray ionization coupled with high-resolution mass spectrometry (UHPLC-ESI-HRMSn) combined with the DPPH assay. Results indicated that the flowers and leaves exhibited stronger antioxidant activity than ascorbic acid in vitro. The therapeutic effect of Paeoniarockii was determined in relation to the levels of biochemical indicators, such as 8-iso-prostaglandin F2α (8-iso PGF2α) in the serum, superoxide dismutase (SOD), protein carbonyl, malondialdehyde (MDA), and glutathione (GSH) in the liver and brain, after daily intra-gastric administration of different concentrations of extracts (100, 200 and 400 mg/kg) for three weeks. The levels of 8-iso PGF2α (p < 0.01) and protein carbonyl groups (p < 0.01) were significantly reduced, whereas those of SOD (p < 0.05) had significantly increased, indicating that components of the flowers of Paeonia rockii had favorable antioxidant activities in vivo. Furthermore, UHPLC-ESI-HRMSn, combined with pre-column DPPH reaction, detected 25 potential antioxidant compounds. Of these, 18 compounds were tentatively identified, including 11 flavonoids, four phenolic acids, two tannins, and one monoterpene glycoside. This study concluded that the leaves and flowers from Paeonia rockii possess excellent antioxidant properties, highlighting their candidacy as "new" antioxidants, which can be utilized therapeutically to protect the body from diseases caused by oxidative stress.