Rosmanol and Carnosol Synergistically Alleviate Rheumatoid Arthritis through Inhibiting TLR4/NF-κB/MAPK Pathway.

Callicarpalongissima has been used as a Yao folk medicine to treat arthritis for years in China, although its active anti-arthritic moieties have not been clarified so far. In this study, two natural phenolic diterpenoids with anti-rheumatoid arthritis (RA) effects, rosmanol and carnosol, isolated from the medicinal plant were reported on for the first time. In type II collagen-induced arthritis DBA/1 mice, both rosmanol (40 mg/kg/d) and carnosol (40 mg/kg/d) alone alleviated the RA symptoms, such as swelling, redness, and synovitis; decreased the arthritis index score; and downregulated the serum pro-inflammatory cytokine levels of interleukin 6 (IL-6), monocyte chemotactic protein 1 (MCP-1), and tumor necrosis factor α (TNF-α). Additionally, they blocked the activation of the Toll-like receptor 4 (TLR4)/nuclear factor κB (NF-κB)/c-Jun N-terminal kinase (JNK) and p38 mitogen-activated protein kinase (MAPK) pathways. Of particular interest was that when they were used in combination (20 mg/kg/d each), the anti-RA effect and inhibitory activity on the TLR4/NF-κB/MAPK pathway were significantly enhanced. The results demonstrated that rosmanol and carnosol synergistically alleviated RA by inhibiting inflammation through regulating the TLR4/NF-κB/MAPK pathway, meaning they have the potential to be developed into novel, safe natural combinations for the treatment of RA.

Separation, synthesis, and cytotoxicity of a series of mogrol derivatives.

Four metabolites of mogrol were separated, identified and characterized. Their antitumor activity was evaluated, and the results showed side chain modification would probably enhance the cytotoxicity. Therefore, three types of amines, alcohols and rigid planar derivatives were synthesized. Compounds 20 and 21 containing a tetrahydro-ß-carboline structure at the end of the side chain exhibited IC50 values around 2-9 µM against A549 and CNE1 cell comparing with 80-90 µM of mogrol. Structure analysis suggested that the perhydrocyclopentanophenanthrene moiety and the tetrahydro-ß-carboline moiety could probably enhance the activity through an intramolecular synergistic effect.[Formula: see text].

Anti-Inflammatory Effect of Simonsinol on Lipopolysaccharide Stimulated RAW264.7 Cells through Inactivation of NF-κB Signaling Pathway.

Simonsinol is a natural sesqui-neolignan firstly isolated from the bark of Illicium simonsii. In this study, the anti-inflammatory activity of simonsinol was investigated with a lipopolysaccharide (LPS)-stimulated murine macrophages RAW264.7 cells model. The results demonstrated that simonsinol could antagonize the effect of LPS on morphological changes of RAW264.7 cells, and decrease the production of nitric oxide (NO), tumor necrosis factor α (TNF-α), and interleukin 6 (IL-6) in LPS-stimulated RAW264.7 cells, as determined by Griess assay and enzyme-linked immunosorbent assay (ELISA). Furthermore, simonsinol could downregulate transcription of inducible nitric oxide synthase (iNOS), TNF-α, and IL-6 as measured by reverse transcription polymerase chain reaction (RT-PCR), and inhibit phosphorylation of the alpha inhibitor of NF-κB (IκBα) as assayed by Western blot. In conclusion, these data demonstrate that simonsinol could inhibit inflammation response in LPS-stimulated RAW264.7 cells through the inactivation of the nuclear transcription factor kappa-B (NF-κB) signaling pathway.

Diagnostic performance of ultrasound-based artificial intelligence for predicting key molecular markers in breast cancer: A systematic review and meta-analysis.

BACKGROUND: Breast cancer (BC) diagnosis and treatment rely heavily on molecular markers such as HER2, Ki67, PR, and ER. Currently, these markers are identified by invasive methods. OBJECTIVE: This meta-analysis investigates the diagnostic accuracy of ultrasound-based radiomics as a novel approach to predicting these markers. METHODS: A comprehensive search of PubMed, EMBASE, and Web of Science databases was conducted to identify studies evaluating ultrasound-based radiomics in BC. Inclusion criteria encompassed research on HER2, Ki67, PR, and ER as key molecular markers. Quality assessment using Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) and Radiomics Quality Score (RQS) was performed. The data extraction step was performed systematically. RESULTS: Our meta-analysis quantifies the diagnostic accuracy of ultrasound-based radiomics with a sensitivity and specificity of 0.76 and 0.78 for predicting HER2, 0.80, and 0.76 for Ki67 biomarkers. Studies did not provide sufficient data for quantitative PR and ER prediction analysis. The overall quality of studies based on the RQS tool was moderate. The QUADAS-2 evaluation showed that the studies had an unclear risk of bias regarding the flow and timing domain. CONCLUSION: Our analysis indicated that AI models have a promising accuracy for predicting key molecular biomarkers' status in BC patients. We performed the quantitative analysis for HER2 and Ki67 biomarkers which yielded a moderate to high accuracy. However, studies did not provide adequate data for meta-analysis of ER and PR prediction accuracy of developed models. The overall quality of the studies was acceptable. In future research, studies need to report the results thoroughly. Also, we suggest more prospective studies from different centers.

An effective two-stage NMBzA-induced rat esophageal tumor model revealing that the FAT-Hippo-YAP1 axis drives the progression of ESCC.

Rat model of N-nitrosomethylbenzylamine (NMBzA)-induced esophageal squamous cell carcinoma (ESCC) is routinely used to study ESCC initiation, progression and new therapeutic strategies. However, the model is time-consuming and malignant tumor incidences are low. Here, we report the usage of multi-kinase inhibitor sorafenib as a tumor promoter to establish an efficient two-stage NMBzA-induced rat ESCC carcinogenesis model, resulting in increments of tumor incidences and shortened tumor formation times. By establishing the model and applying whole-genome sequencing, we discover that benign papillomas and malignant ESCCs harbor most of the "driver" events found in rat ESCCs (e.g. recurrent mutations in Ras family, the Hippo and Notch pathways and histone modifier genes) and the mutational landscapes of rat and human ESCCs overlap extensively. We generate tumor cell lines derived from NMBzA-induced papillomas and ESCCs, showing that papilloma cells retain more characteristics of normal epithelial cells than carcinoma cells, especially their exhibitions of normal rat cell karyotypes and inabilities of forming tumors in immunodeficient mice. Three-dimensional (3-D) organoid cultures and single cell RNA sequencing (scRNA-seq) indicate that, when compared to control- and papilloma-organoids, ESCC-organoids display salient abnormalities at tissue and single-cell levels. Multi-omic analyses indicate that NMBzA-induced rat ESCCs are accompanied by progressive hyperactivations of the FAT-Hippo-YAP1 axis and siRNA or inhibitors of YAP1 block the growth of rat ESCCs. Taken together, these studies provide a framework of using an effective rat ESCC model to investigate multilevel functional genomics of ESCC carcinogenesis, which justify targeting YAP1 as a therapeutic strategy for ESCC.

Bioactive secondary metabolites isolated from the branches and leaves of Pittosporum pulchrum Gagnep.

Five new compounds, including two sesquiterpenoid glycosides (1 and 2), two monoterpenoid glycosides (3 and 4), and a quinovose ester (5), together with four known compounds (6-9) were isolated from branches and leaves of Pittosporum pulchrum Gagnep. Their structures were established by 1D and 2D NMR, HR-ESI-MS, IR and UV spectral analyses. This is the first time to investigate the chemical constituents of P. pulchrum. Subsequently, the anti-inflammatory and antioxidant activities of different solvent fractions of ethanol extract and isolated compounds were evaluated. Dichloromethane and ethyl acetate fractions dramatically inhibited the production of NO in a concentration-dependent manner in LPS-induced RAW264.7 cells. Ethyl acetate and n-butanol fractions showed excellent DPPH radical scavenging activities with IC50 values of 24.31 µg/mL and 27.81 µg/mL, respectively. Compounds 7 and 8 might be potential natural antioxidants with IC50 values of 16.13 µM and 24.81 µM, respectively.

The dichloromethane extract of Callicarpa longissima rich in diterpenoid phenols exerts anti-inflammatory effect via inhibiting the TLR4/NF-κB signaling pathway.

ETHNOPHARMACOLOGICAL RELEVANCE: Callicarpa longissima is a typical Yao ethnomedicine that has been used to treat arthritis in China. Our previous study found that the dichloromethane extract (DCME) of C. longissima showed anti-inflammatory activity in vitro. However, the anti-inflammatory mechanism and detailed chemical composition of DCME remain unclear, which lead to the original interest of this study. AIM OF THE STUDY: The study aimed to evaluate the anti-inflammatory properties of the DCME from C. longissima and further explore the accurate chemical components responsible for this active extract. MATERIALS AND METHODS: The anti-inflammatory activity of DCME in vivo was tested with carrageenan-induced mice paw edema model. Its anti-inflammatory mechanism was explored with LPS-stimulated RAW264.7 macrophages model. The compounds in DCME were isolated by repeated column chromatography and their structures were identified on the basis of nuclear magnetic resonance spectroscopy. The anti-inflammatory activities of the isolates in vitro were also tested by suppressing releases of inflammatory mediators (NO, IL-6 and TNF-α) in RAW264.7 macrophages model. In addition, the molecular docking analysis, which evaluated the potential interaction between the compounds and Toll-like receptor 4 (TLR4) and nuclear factor κB (NF-κB), was performed. RESULTS: DCME effectively alleviated the mice paw edema induced by carrageenan. In LPS-stimulated RAW264.7 cells, DCME significantly decreased the production of interleukin (IL)-6 and tumor necrosis factor α (TNF-α) via inhibiting their mRNA transcription, down-regulated the expression of TLR4 and myeloid differentiation factor 88, inhibited the phosphorylation of alpha inhibitor of NF-κB (IκBα), NF-κB p65, and degradation of IκBα. Twelve diterpenoid phenols were identified from DCME, and they not only showed different inhibitory effects on the production of NO, IL-6 and TNF-α in LPS-stimulated RAW264.7 cells, but also could bind to TLR4 and NF-κB as analyzed by molecular docking. CONCLUSIONS: Taken together, DCME from C. longissima could inhibit inflammatory response both in vitro and in vivo, which is mainly attributed to the synergistic effect of abundant diterpenoid phenols through inhibiting the TLR4/NF-κB signaling pathway, and might be a promising agent for the treatment of inflammatory diseases.

Deep learning enables stochastic optical reconstruction microscopy-like superresolution image reconstruction from conventional microscopy.

Despite its remarkable potential for transforming low-resolution images, deep learning faces significant challenges in achieving high-quality superresolution microscopy imaging from wide-field (conventional) microscopy. Here, we present X-Microscopy, a computational tool comprising two deep learning subnets, UR-Net-8 and X-Net, which enables STORM-like superresolution microscopy image reconstruction from wide-field images with input-size flexibility. X-Microscopy was trained using samples of various subcellular structures, including cytoskeletal filaments, dot-like, beehive-like, and nanocluster-like structures, to generate prediction models capable of producing images of comparable quality to STORM-like images. In addition to enabling multicolour superresolution image reconstructions, X-Microscopy also facilitates superresolution image reconstruction from different conventional microscopic systems. The capabilities of X-Microscopy offer promising prospects for making superresolution microscopy accessible to a broader range of users, going beyond the confines of well-equipped laboratories.

Is There a Missing Link? Exploring the Effects of Institutional Pressures on Environmental Performance in the Chinese Construction Industry.

Although institutional pressures have huge strategic implications for organizational activities, this certainly does not mean that organizations under institutional pressures can improve environmental performance automatically. Institutional pressures are critical but not sufficient to affect environmental performance directly. Therefore, additional research is needed to explore the missing link between institutional pressures and environmental performance. Based on the "pressure-response-performance" framework, this study integrates perspectives of institutional theory and organizational learning to argue the mediating role of organizational learning in the relationship between institutional pressures and environmental performance. Data were collected via 268 valid questionnaires from construction firms located in Shanxi Province in central China. Hypotheses in the conceptual model were tested with structural equation modeling. Empirical results reveal that both coercive and mimetic pressures have significantly positive effects on organizational learning, whereas normative pressures have a non-significant effect on organizational learning. Besides that, organizational learning has a significantly positive effect on environmental performance. In addition, organizational learning partially mediates the relationship between coercive pressures and environmental performance and completely mediates the relationship between mimetic pressures and environmental performance. By exploring the mediating role of organizational learning, the article uncovers the missing link in the relationship between institutional pressures and environmental performance.

Structure elucidation and anti-inflammatory mechanism of difengpienol C, a new neolignan isolated from Illicium difengpi.

Illicium difengpi is well-known as its stem barks that have been widely used in the Traditional Chinese Medicine (TCM) for therapy rheumatoid arthritis and traumatic injury. To comprehensive utilization of resources, the phytochemical investigation on the branches and leaves of this plant was carried out, which led to the isolation of an undescribed neolignan along with three known lignans. Their structures were elucidated on the basis of extensive spectroscopic data and the new compound was elucidated as a neolignan possessing a dihydropyran ring formed by a unique conjugation way and named difengpienol C. Difengpienol C showed the strongest anti-inflammatory activity in lipopolysaccharide (LPS)-stimulated RAW264.7 cells, which powerfully inhibited nitric oxide (NO), interleukin 6 (IL-6), tumor necrosis factor α (TNF-α) production and suppressed the mRNA transcription of inducible nitric oxide synthase (iNOS), IL-6 and TNF-α. Besides, difengpienol C blocked the activation of TLR4/MyD88/NF-κB signaling pathway. Therefore, difengpienol C might be a potent agent for anti-inflammatory drug development, and the non-traditional medicinal parts of Illicium difengpi can be identified as the source of natural anti-inflammatory molecules.

Knowledge and attitudes toward expanded carrier screening between the medical staff and general population in China.

OBJECTIVE: The purpose of our study was to assess the knowledge and attitudes toward expanded carrier screening (ECS) between the medical staff and general population in China. STUDY DESIGN: It was a survey-based cross-sectional study in Chinese. We provided an online survey for the general public nationwide. We classified the population into the medical staff and general population to evaluate the knowledge gap and provide a reference for ECS's education programs. Except for obstetrician-gynecologists and nurses in the department of Obstetrics and Gynecology, other medical staff were not included in our study. A total of 1947 questionnaires were collected from July 11, 2020 to February 10, 2021. Two hundred and eighty-four questionnaires were excluded from further analysis. The remaining 1663 cases were incorporated into the final analysis. Data were analyzed using IBM SPSS Statistics 26. Comparisons between categorical variables were tested by the use of crosstabs and χ2 test. RESULTS: The total awareness rates of the knowledge about monogenic diseases and ECS in the respondents were low, with 35.7%, 26.1%, 3.3%, 23.3%, 24.1%, 55.2%, and 23.4% for questions Q1-Q7, respectively. Medical staff had more knowledge than general population. Knowledge about monogenic diseases and ECS was positively correlated with educational level. Most respondents showed a positive attitude toward ECS: 54.4% thought ECS was necessary, and 80.5% wanted to know more about monogenic diseases. CONCLUSION: Although the public had little knowledge about monogenic disease and ECS, most of them showed a positive attitude. Our cross-analysis showed that medical staff had more knowledge compared to general population. Pre-test education for ECS can be carried out by medical staff who are not qualified for genetic counseling. ECS training for medical staff, especially obstetrician-gynecologist and nurse in the department of Obstetrics and Gynecology, can reduce the workload of genetic counseling.

Modeling and prediction of the 2019 coronavirus disease spreading in China incorporating human migration data.

This study integrates the daily intercity migration data with the classic Susceptible-Exposed-Infected-Removed (SEIR) model to construct a new model suitable for describing the dynamics of epidemic spreading of Coronavirus Disease 2019 (COVID-19) in China. Daily intercity migration data for 367 cities in China were collected from Baidu Migration, a mobile-app based human migration tracking data system. Early outbreak data of infected, recovered and death cases from official source (from January 24 to February 16, 2020) were used for model fitting. The set of model parameters obtained from best data fitting using a constrained nonlinear optimisation procedure was used for estimation of the dynamics of epidemic spreading in the following months. The work was completed on February 19, 2020. Our results showed that the number of infections in most cities in China would peak between mid February to early March 2020, with about 0.8%, less than 0.1% and less than 0.01% of the population eventually infected in Wuhan, Hubei Province and the rest of China, respectively. Moreover, for most cities outside and within Hubei Province (except Wuhan), the total number of infected individuals is expected to be less than 300 and 4000, respectively.

Phytochemical constituents of the pericarps of Illicium difengpi and their anti-inflammatory activity.

Phytochemical investigation on the pericarps of Illicium difengpi lead to the isolation and structure elucidation of a new sesquiterpene, sesquicaranoic acid C (1), a new neolignan, difengpiol C (2), and 10 known compounds. The structures and absolute configurations of two new compounds were determined by a combination of NMR and CD spectroscopic analyses. All isolates were evaluated for their inhibitory effects on lipopolysaccharide (LPS)-induced nitric oxide (NO) production in RAW264.7 cells.

Preparative Isolation of Piceatannol Derivatives from Passion Fruit (Passiflora edulis) Seeds by High-Speed Countercurrent Chromatography Combined with High-Performance Liquid Chromatography and Screening for α-Glucosidase Inhibitory Activities.

Passiflora edulis Sims (passion fruit) seeds are often discarded as byproducts during juice processing. In fact, the seeds are of considerable commercial value in the food and cosmetics industry because of their rich polyphenols, especially piceatannol. In this study, high-speed countercurrent chromatography (HSCCC) was applied for the separation of stilbene polyphenols from passion fruit seeds. The n-hexane-ethyl acetate-methanol-water (1:2:1:2.8, v/v) was found to be the optimum two-phase solvent for the preparation of two major stilbenes, scirpusin B (8) and piceatannol (9) with purities of 90.2% and 94.8%, respectively. In addition, a continuous semipreparative HPLC was applied to further purify the HSCCC fractions containing minor stilbenes and obtain four new piceatannol derivatives (1-4) along with three known ones (5-7). The structures of these new compounds were determined using spectroscopic methods, including NMR, high-resolution electrospray ionization mass spectrometry (HR-ESI-MS), and circular dichroism (CD). The isolated compounds were evaluated for α-glucosidase inhibitory activities in vitro. The result suggested that all of them exhibited more significant activity than acarbose, and passiflorinol B (2) had the strongest activity, with a IC50 value of 1.7 µM.

[Analysis of prognostic factors influencing the outcome of intrahepatic cholangiocarcinoma].

OBJECTIVE: To analyze the clinicopathologic factors influencing the outcome of surgically treated intrahepatic cholangiocarcinoma (ICC) and to explore the proper treatment choice of ICC. METHODS: The clinicopathological data of 43 surgically treated ICC patients in our hospital were retrospectively analyzed. Of the 43 patients, hepatic resection was performed in 40 patients, ethanol injection in 2, and laparoscopic exploration alone in 1. Kaplan-Meier method and Cox regression model were used for the analysis of factors influencing survival after operation. RESULTS: The accumulative 1-, 3- and 5-year survival rates were 64.4%, 30.9%, 25.8% for the whole group, and 74.7%, 33.3%, 27.8% for the 40 patients with hepatic resection, respectively. Univariate analysis revealed that tumor size, carcinoembryonic antigen (CEA) level, lymph node involvement and TNM stage were factors significantly affecting the survival (P < 0.05). Cox multivariate analysis demonstrated that only tumor size and lymph node involvement were the independent factors significantly affecting the survival (P < 0.05). CONCLUSION: Our results show that tumor size and lymph node involvement are independent factors affecting the survival. CEA level and TNM stage are important prognostic factors for surgical management. Radical resection is still the optimal treatment for patient with intrahepatic cholangiocarcinoma.

Binding interaction between a queen pheromone component HOB and pheromone binding protein ASP1 of Apis cerana.

The honeybee's social behavior is closely related to the critical response to pheromone, while pheromone binding proteins (PBPs) play an important role in binding and transferring those pheromones. Here we report one known PBP, antennal special protein 1(ASP1), which has high affinity with a queen mandibular pheromone component, methyl-p-hydroxybenzoate (HOB). In this study, multiple fluorescent spectra, UV absorption spectra, circular dichroism (CD) spectra and molecular docking analysis were combined to clarify the binding process. Basically, fluorescence intensity of ASP1 could be considerably quenched by HOB with an appropriate interaction distance (3.1 nm), indicating that a complex, which is more stable in lower temperature, was formed. The fact ΔH < 0, ΔS < 0, by thermodynamic analysis, indicated the van der Waals and hydrogen bond as main driving force. Moreover, synchronous fluorescence spectra and CD spectra analysis showed the change of partial hydrophilicity of ASP1 and the increase of α-helix after HOB addition. In conclusion, ASP1 can strongly and spontaneously interact with HOB. But the binding ability decreases with the rise of temperature, which may be necessary for sufficient social stability of hives. This study provides elucidation of the detailed binding mechanism and potential physicochemical basis of thermal stability to the social behavior of honeybee.