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Abstract Colon adenocarcinoma (COAD) is a serious public health problem, the third most common cancer and the second most deadly cancer in the world. About 9.4% of cancer-related deaths in 2020 were due to COAD. Anoikis is a specialized form of programmed cell death that plays an important role in tumor invasion and metastasis. The presence of anti-anoikis factors is associated with tumor aggressiveness and drug resistance. Various bioinformatic methods, such as differential expression analysis, and functional annotation analysis, machine learning, were used in this study. RNA-sequencing and clinical data from COAD patients were obtained from the Gene expression omnibus (GEO) and The Cancer Genome Atlas (TCGA) databases. Construction of a prognostic nomogram for predicting overall survival (OS) using multivariate analysis and Lasso-Cox regression. Immunohistochemistry (IHC) was our method of validating the expression of seven genes that are linked to anoikis in COAD. We identified seven anoikis-related genes as predictors of COAD survival and prognosis, and confirmed their accuracy in predicting colon adenocarcinoma prognosis by KM survival curves and ROC curves. A seven-gene risk score consisting of NAT1, CDC25C, ATP2A3, MMP3, EEF1A2, PBK, and TIMP1 showed strong prognostic value. Meanwhile, we made a nomogram to predict the survival rate of COAD patients. The immune infiltration assay showed T cells. CD4 memory. Rest and macrophages. M0 has a higher proportion in COAD, and 11 genes related to tumor immunity are important. GDSC2-based drug susceptibility analysis showed that 6 out of 198 drugs were significant in COAD. Anoikis-related genes have potential value in predicting the prognosis of COAD and provide clues for developing new therapeutic strategies for COAD. Immune infiltration and drug susceptibility results provide important clues for finding new personalized treatment options for COAD. These findings also suggest possible mechanisms that may affect prognosis. These results are the starting point for planning individualized treatment and managing patient outcomes.

Abstract Colon adenocarcinoma (COAD) is a type of cancer that arises from the glandular epithelial cells that produce mucus in the colon. COAD is influenced by various factors, including genetics, environment and lifestyle. The outcome of COAD is determined by the tumor stage, location, molecular characteristics and treatment. Disulfidptosis is a new mode of cell death that may affect cancer development. We discovered genes associated with disulfidptosis in colon adenocarcinoma and proposed them as novel biomarkers and therapeutic targets for COAD. We analyzed the mRNA expression data and clinical information of COAD patients from The Cancer Genome Atlas (TCGA) database and Xena databases, extracted disulfidptosis-related genes from the latest reports on disulfidptosis. We used machine learning to select key features and build a signature and validated the risk model using data from the Gene Expression Omnibus (GEO) database and Human Protein Atlas (HPA). We also explored the potential biological functions and therapeutic implications of the disulfidptosis-related genes using CIBERSORTx and GDSC2 databases. We identified four disulfidptosis-related genes: TRIP6, OXSM, MYH3 and MYH4. These genes predicted COAD patient survival and modulated the tumor microenvironment, drug sensitivity and immune microenvironment. Our study reveals the importance of disulfidptosis-related genes for COAD prognosis and therapy. Immune infiltration and drug susceptibility results provide important clues for finding new personalized treatment options for COAD. These findings may facilitate personalized cancer treatment.

The polysaccharides from Stemona tuberosa Lour, a kind of plant used in Chinese herbal medicine, have various pharmacological activities, such as anti-inflammatory and antioxidant properties. However, the effects of the extraction methods and the activity of polysaccharides from different parts are still unknown. Therefore, this study aimed to evaluate the effects of different extraction methods on the yields, chemical compositions, and bioactivity of polysaccharides extracted from different parts of Stemona tuberosa Lour. Six polysaccharides were extracted from the leaves, roots, and stems of Stemona tuberosa Lour through the use of hot water (i.e., SPS-L1, SPS-R1, and SPS-S1) and an ultrasound-assisted method (i.e., SPS-L2, SPS-R2, and SPS-S2). The results showed that the physicochemical properties, structural properties, and biological activity of the polysaccharides varied with the extraction methods and parts. SPS-R1 and SPS-R2 had higher extraction yields and total sugar contents than those of the other SPSs (SPS-L1, SPS-L2, SPS-S1, and SPS-S2). SPS-L1 had favorable antioxidant activity and the ability to downregulate MUC5AC expression. An investigation of the anti-inflammatory properties showed that SPS-R1 and SPS-R2 had greater anti-inflammatory activities, while SPS-R2 demonstrated the strongest anti-inflammatory potential. The results of this study indicated that SPS-L1 and SPS-L2, which were extracted from non-medicinal parts, may serve as potent natural antioxidants, but further study is necessary to explore their potential applications in the treatment of diseases. The positive anti-inflammatory effects of SPS-R1 and SPS-R2 in the roots may be further exploited in drugs for the treatment of inflammation.

Acute lung injury (ALI) is an inflammation-mediated respiratory disease with a high mortality rate. Medications with anti-inflammatory small molecules have been demonstrated in phase I and II clinical trials to considerably reduce the ALI mortality. In this study, two series of lansiumamide analogues were designed, synthesized, and evaluated for anti-inflammatory activity for ALI treatment. We found that compound 8n exhibited the best anti-inflammatory activity through inhibiting LPS-induced expression of the proinflammatory cytokines interleukin-6 (IL-6) and interleukin-1β (IL-1β) in Raw264.7 cells and activating the Nrf2/HO-1 pathway. Furthermore, we discovered in a LPS-induced ALI mice model that compound 8n significantly reduced the infiltration of inflammatory cells into lung tissue to achieve the effect of protecting lung tissues and improving ALI. Additionally, our mice model study revealed that compound 8n had a good expectorant effect. These results consistently support that lansiumamide analogue 8n represents a new class of anti-inflammatory agents with potential as a lead compound for further development into a therapeutic drug for ALI treatment.

Psoriasis is a chronic inflammatory disease that is considered by a network of immunocytes and cytokines. Among all, Th17 cells–derived IL-17 is a critical driving factor in the pathogenesis of psoriasis. Recently, disruption of the extracellular matrix was found to be related to psoriasis progression. In the present study, we aimed to investigate the role of heparanase (HPSE) in psoriasis and the crosstalk with the IL-17 signalling pathway. Skin tissues from non-affected areas and psoriatic lesion areas before and after 12 weeks of IL-17 monoclonal antibody treatment of 30 psoriasis patients were collected. HaCaT cells were treated with different concentrations of IL-17 antibody, and HPSE in cells and medium were measured with Western blotting assay as well as enzyme-linked immunosorbent assay (ELISA). In the imiquimod (IMQ)-induced psoriasis model, IL-17 protein and mRNA expression levels were measured, and changes in the proportion of Th17 cells were detected via flow cytometry. Our data showed that HPSE is upregulated in lesion tissues isolated from psoriasis patients, and was inhibited by anti-IL-17 treatment. In cutaneous cells and IMQ-induced psoriasis model, IL-17 promoted the synthesis of HPSE. Inversely, HPSE was also found to increase the percentage of Th17 cells derived from CD4+ T cells. Finally, we found that the combined treatments of HPSE inhibitor and IL-17 monoclonal antibody produced therapeutic effects on IMQ-induced psoriasis model. Our findings revealed the new role of HPSE in the pathogenesis of psoriasis and also provided a target for combined treatment of psoriasis.

Abstract Background Baihu-Guizhi decoction (BHGZD) is a well-documented traditional Chinese Medicine (TCM) prescription that has been extensively applied to treating rheumatoid arthritis. Despite of its beneficial outcomes, the chemical constituents of BHGZD have not been fully portrayed and the in vivo absorption, distribution, metabolism, and excretion (ADME) patterns of absorbed components have never been described. Methods Characterization of absorbed components and in vivo biotransformation profiling of these feature compounds were based on the ultra-fast liquid chromatography-quadrupole-time-of-flight tandem mass spectrometry (UFLC-Q-TOF-MS/MS). Furthermore, the ultra-high-performance liquid chromatography tandem ion trap quadrupole mass spectrometry (UHPLC-Q-TRAP-MS/MS) system were performed to investigate the pharmacokinetics of active ingredients from BHGZD. Results In this study, we have identified and tentatively characterized 18 feature absorbed prototype and 15 metabolites of BHGZD in rat serum and the in vivo transformation pathways of these absorbed constituents were proposed. Besides, we have established novel quantitative methodology of five crucial components of BHGZD and have monitored the pharmacokinetic behaviors of these constituents spontaneously in rat serum after BHGZD gavage. After rats received two ways of BHGZD gavage, the pharmacokinetic behaviors of each compound exhibited relatively similar behaviors, as evidenced by similar curve track as well as relatively close time to reach maximum concentration (Tmax) and half washout time (T1/2). Whereas the maximum plasma concentration (Cmax) and area under the plasma concentration–time curve (AUC) values of five analytes with multiple dosage were a bit higher than single dosage. Conclusion This study added knowledge into the material basis and bio-transformation patterns of BHGZD in vivo, which would be of great value for exploring pharmacological effects and mechanism of BHGZD.

BackgroundLaparoscopic natural orifice specimen extraction surgery (NOSES) has been widely used in colorectal neoplasms. However, only a few studies have focused on robotic NOSES. This study compared the short-term clinical outcomes and long-term survival outcomes between robotic NOSES and conventional robotic resection (CRR) groups.MethodsFrom March 2016 to October 2018, a consecutive of 143 patients who underwent robotic sigmoid and rectal resection at the Department of Gastrointestinal Surgery, The Second Xiangya Hospital, Central South University, were considered for inclusion in this study. Propensity-score matching (PSM) was conducted to account for differences in the baseline characteristics. After PSM, 39 patients were included in the robotic NOSES group, and 39 patients in the CRR group. The baseline characteristics between the two groups were all balanced and comparable.ResultsPatients in the NOSES group experienced less intraoperative blood loss (p=0.001), lower requirements for additional analgesia (p=0.020), shorter time to first flatus (p=0.010), and a shorter time to first liquid diet (p=0.003) than the CRR group. The 3-year overall survival rates (NOSES: 92.3% vs. CRR: 89.7% p=1.000) and 3-year disease-free survival rates (NOSES: 82.1% vs. CRR: 84.6% p=0.761) between the two groups were comparable.ConclusionRobotic natural orifice specimen extraction surgery is a safe and feasible surgery for patients with colorectal neoplasms. Robotic NOSES is associated with better short-term clinical outcomes and similar long-term survival outcomes to conventional robotic resection.

Duodenocolic fistula is a rare upper gastrointestinal fistula that can be benign or malignant. However, benign duodenocolic fistulas are particularly rare. Duodenocolic fistulas are often a complication of advanced colon cancer. The most common cause of benign fistulas is perforation of the duodenal ulcer. We report a case of a benign duodenocolic fistula in a patient who presented with abdominal pain, diarrhea, and weight loss. Gastroscopy and an upper gastrointestinal study confirmed the presence of the fistula. Surgery was performed, and the pathological examination demonstrated that the fistula originated from a duodenal ulcer.

Oral ulcer is a common inflammatory disease of oral mucosa, causing severe burning pain and great inconvenience to daily life. In this study, compound 3J with anti-inflammatory activity was synthesized beforehand. Following that, an intelligent composite hydrogel supported 3J was designed with sodium alginate, carboxymethyl chitosan, and chitosan quaternary ammonium salt as the skeleton, and its therapeutic effect on the rat oral ulcer model was investigated. The results show that the composite hydrogel has a dense honeycomb structure, which is conducive to drug loading and wound ventilation, and has biodegradability. It has certain antibacterial effects and good anti-inflammatory activity. When loaded with 3J, it reduced levels of TNF-α and IL-6 in inflammatory cells by up to 50.0%. It has excellent swelling and water retention properties, with a swelling rate of up to 765.0% in a pH 8.5 environment. The existence of a large number of quaternary ammonium groups, carboxyl groups, and hydroxyl groups makes it show obvious differences in swelling in different pH environments, which proves that it has double pH sensitivity. It is beneficial to adapt to the highly dynamic changes of the oral environment. Compared with single hydrogel or drug treatment, the drug-loaded hydrogel has a better effect on the treatment of oral ulcers.

Sleep disorders were associated with oral health. Inflammation has especially been thought to be a key factor in linking oral diseases and sleep deficiency. However, how chronic sleep deprivation (CSD) affects oral homeostasis, particularly oral inflammation and oral microbiota, is still unknown. This study aimed to uncover the systematic relationship between oral homeostasis and CSD in rats. The metabolomics in serum, proteomics in the tongue tissues, and microbiome analysis in the oral cavity in CSD rats were performed. Multi-omics data integration analysis was performed to uncover the systematic relationship between oral homeostasis and CSD through the weighted correlation network analysis. We found that CSD could lead to oral inflammation in rats. CSD significantly increased systemic inflammation by enhancing the serum levels of IL-1β, IL-6 and inhibiting the serum level of IL-10. Serum levels of adrenocorticotropin hormone, corticosterone, and triiodothyronine were increased in CSD rats, and the steroid hormone biosynthesis pathway was also found to be involved in the perturbation resulting from CSD, together suggesting the activation of the hypothalamic-pituitary-adrenocortical and hypothalamic‐pituitary‐thyroid axis. CSD led to changes of oral microbiota composition, and g_Acinetobacter, Candidatus Chryseobacterium massiliae, and g_Moraxella were significantly correlated with multiple proteins in bacterial invasion of epithelial cells pathway, which may partially responsible for oral inflammation resulting from CSD. The changes of proteomic profiling expression caused by CSD in tongue tissues were mainly enriched in neurodegenerative diseases pathways and immune/inflammation-related pathways. Multi-omics analysis indicated that the inflammatory response-related modules were significantly correlated with the neurodegenerative disease-related module suggesting a possible link between neurodegenerative diseases and oral inflammation. Together, CSD induced oral inflammation and subtle changes on oral microbiota. Our study is helpful to further understand the role that oral homeostasis plays in the process by which CSD affects human health and disease.

In order to prolong the service life of magnesium alloys， superhydrophobic coatings were prepared on the surface of ME20M rare earth magnesium alloy through cathodic deposition and superhydrophobic modification.A stearic acid ethanol solution was used for chemical modification of the cathodically deposited Mg(OH)2 films on the magnesium alloy.Single-factor experiments were conducted to investigate the effects of stearic acid concentration，solution temperature and immersion time on surface wettability，in order to determine the optimal modification process.The corrosion resistance of typical samples was evaluated using drop tests，full immersion corrosion tests and modern electrochemical testing techniques.The adhesion strength of the film to the substrate was assessed by the cross-cut method， and the surface microstructure and composition of the samples were analyzed using scanning electron microscopy (SEM)， fourier transform infrared spectrometer (FT-IR)and X-ray diffraction analyzer(XRD).Results showed that the cathode deposited Mg(OH)2 film could be rendered superhydrophobic by brief immersion in a low-concentration stearic acid solution， achieving a static contact angle (SCA) of up to 151.5° with distilled water and a rolling angle (SA) as low as 1.0°， exhibiting low viscosity.The combined treatment of cathodic deposition and hydrophobic modification could significantly improve the corrosion resistance of magnesium alloys.Compared with the blank sample， the discoloration time of the droplet on the composite treated sample was extended by nearly 25 times， the self-corrosion current density Jcorr in 3.5%NaCl solution was reduced by nearly 3 orders of magnitude， and the characteristic impedance modulus ｜Z｜0.1 Hz was increased by nearly 4 orders of magnitude.The surface micromorphology of cathodic deposition Mg(OH)2 thin film with hydrophobic treatment showed a sword-like structure at the micro/nano scale.There were obvious absorption peaks of -CH3 and -CH2- in the infrared spectrum of the sample.