Calreticulin regulates the expression of MMP14 and ADAR1 through EIF2AK2 signaling to promote the proliferation and progression of malignant melanoma cells.

It has been demonstrated that calreticulin (CALR) is expressed abnormally in various tumors and is involved in the occurrence and development of tumors. In this study, CALR and EIF2AK2 expression was measured in the clinical specimens of 39 patients with melanoma. Then, we constructed knockdown and overexpression cell models of CALR and EIF2AK2 and used wound healing and Transwell assays to observe cell migration and invasion. Apoptosis, EDU, and ROS assays were used to measure cell apoptosis and proliferation, as well as ROS levels. The effect of CALR on endoplasmic reticulum stress was detected using endoplasmic reticulum fluorescent probes. Western blotting was used to detect protein levels of CALR, EIF2AK2, ADAR1, and MMP14. The results indicated that CALR and EIF2AK2 expression levels were significantly higher in human melanoma tissues than in adjacent non-tumor tissue. In addition, we found a correlation between CALR and the expression of EIF2AK2 and MMP14, and the experimental results indicated that overexpression of CALR significantly upregulated the expression of EIF2AK2, MMP14, and ADAR1, while knockdown of CALR inhibited their expression. Notably, the knockdown of EIF2AK2 in the CALR overexpression group blocked the upregulation of MMP14 and ADAR1 expression by CALR, and the knockdown of both CALR and EIF2AK2 significantly inhibited MMP14 and ADAR1 expression. In conclusion, CALR and EIF2AK2 play a promoting role in melanoma progression, and knockdown of CALR and EIF2AK2 may be an effective anti-tumor target, and its mechanism may be through MMP14, ADAR1 signaling.

A novel combined therapeutic strategy of Nano-EN-IR@Lip mediated photothermal therapy and stem cell inhibition for gastric cancer.

Recurrence and metastasis of gastric cancer is a major therapeutic challenge for treatment. The presence of cancer stem cells (CSCs) is a major obstacle to the success of current cancer therapy, often leading to treatment resistance and tumor recurrence and metastasis. Therefore, it is important to develop effective strategies to eradicate CSCs. In this study, we developed a combined therapeutic strategy of photothermal therapy (PTT) and gastric cancer stem cells (GCSCs) inhibition by successfully synthesizing nanoliposomes loaded with IR780 (photosensitizer) and EN4 (c-Myc inhibitor). The nanocomposites are biocompatible and exhibit superior photoacoustic (PA) imaging properties. Under laser irradiation, IR780-mediated PTT effectively and rapidly killed tumor cells, while EN4 synergistically inhibited the self-renewal and stemness of GCSCs by suppressing the expression and activity of the pluripotent transcription factor c-Myc, preventing the tumor progression of gastric cancer. This Nano-EN-IR@Lip is expected to be a novel clinical nanomedicine for the integration of gastric cancer diagnosis, treatment and prevention.

Subtyping and prognostic model construction based on vesicle-mediated transport-related genes in colorectal cancer.

BACKGROUND: Colorectal cancer (CRC) is impacted by various environmental and genetic variables. Dysregulation of vesicle-mediated transport-related genes (VMTRGs) has been observed in many malignancies, but their effect on prognosis in CRC remains unclear. METHODS: CRC samples were clustered into varying subtypes per differential expression of VMTRGs. R package was utilized to explore differences in survival, immune, and drug sensitivity among different disease subtypes. According to differentially expressed genes (DEGs) between subtypes, regression analysis was employed to build a riskscore model and identify independent prognostic factors. The model was validated through a Gene Expression Omnibus (GEO) dataset. Immune landscape, immunophenoscore (IPS), and Tumor Immune Dysfunction and Exclusion (TIDE) scores for different risk groups were calculated. RESULTS: Two subtypes of CRC were identified based on VMTRGs, which showed significant differences in survival rates, immune cell infiltration abundance, immune functional activation levels, and immune checkpoint expression levels. Cluster2 exhibited higher sensitivity to anti-tumor drugs such as Nilotinib, Cisplatin, and Oxaliplatin compared to Cluster1. DEGs were mainly enriched in biological processes such as epidermis development, epidermal cell differentiation, and receptor-ligand activity, and signaling pathways like pancreatic secretion. The constructed 13-gene riskscore model demonstrated good predictive ability for CRC patients' prognosis. Furthermore, differences in immune landscape, IPS, and TIDE scores were observed among different risk groups. CONCLUSION: This study successfully obtained two CRC subtypes with distinct survival statuses and immune levels based on differential expression of VMTRGs. A 13-gene risk model was constructed. The findings had important implications for prognosis and treatment of CRC.

Aggregation-Induced Emission Photosensitizer-Engineered Anticancer Nanomedicine for Synergistic Chemo/Chemodynamic/Photodynamic Therapy.

Photodynamic therapy (PDT) with aggregation-induced emission (AIE) photosensitizers (PSs) is a promising therapeutic strategy to achieve better anticancer results. However, eradicating solid tumors completely by PDT alone can be difficult owing to the inherent drawbacks of this treatment, and the combination of PDT with other therapeutic modalities provides opportunities to achieve cooperative enhancement interactions among various treatments. Herein, this work presents the construction of a biocompatible nanocomposite, namely CaO2@DOX@ZIF@ASQ, featuring light-responsive reactive oxygen species (ROS) generation and tumor-targeting oxygen and hydrogen peroxide discharge, as well as controlled doxorubicin (DOX) and copper ion release, thus allowing the combined PDT/CT/CDT effect by AIE PS-enhanced PDT, DOX-based chemotherapy (CT), and copper-involved Fenton-like reaction-driven chemodynamic therapy (CDT). In vitro and in vivo studies verify that the generation of both ROS and O2 by this nanomedicine, stimulated by light, exhibits superior anticancer efficacy, alleviating tumor hypoxia and achieving synergistic PDT/CT/CDT therapeutic effect. This multifunctional nanomedicine remarkably suppresses the tumor growth with minimized systemic toxicity, providing a new strategy for constructing multimodal PDT/CT/CDT therapeutic systems to overcome hypoxia limitations, and potentially increase the antitumor efficacy at lower doses of PSs and chemotherapeutic drugs, thus minimizing potential toxicity to non-malignant tissues.

Epithelial SIRT6 governs IL-17A pathogenicity and drives allergic airway inflammation and remodeling.

Dysregulation of IL-17A is closely associated with airway inflammation and remodeling in severe asthma. However, the molecular mechanisms by which IL-17A is regulated remain unclear. Here we identify epithelial sirtuin 6 (SIRT6) as an epigenetic regulator that governs IL-17A pathogenicity in severe asthma. Mice with airway epithelial cell-specific deletion of Sirt6 are protected against allergen-induced airway inflammation and remodeling via inhibiting IL-17A-mediated inflammatory chemokines and mesenchymal reprogramming. Mechanistically, SIRT6 directly interacts with RORγt and mediates RORγt deacetylation at lysine 192 via its PPXY motifs. SIRT6 promotes RORγt recruitment to the IL-17A gene promoter and enhances its transcription. In severe asthma patients, high expression of SIRT6 positively correlates with airway remodeling and disease severity. SIRT6 inhibitor (OSS_128167) treatment significantly attenuates airway inflammation and remodeling in mice. Collectively, these results uncover a function for SIRT6 in regulating IL-17A pathogenicity in severe asthma, implicating SIRT6 as a potential therapeutic target for severe asthma.

Ground testing of release impulse for the aluminum cubic test mass with a compound pendulum for the TianQin project.

In the space-borne gravitational wave detection TianQin project, the locking and releasing of test mass is one of the key technologies. The test mass will be locked during the spacecraft launch and then released to free fall for the science phase. The residual release impulse is required to be on the order of magnitude of 10-5 kg m/s, which allows us to capture the test mass by the force authority of the capacity control. In this paper, the release impulse of the aluminum test mass is measured with a compound pendulum for the TianQin project. The test mass is locked by two tips from opposite positions, and the release impulse is obtained from the oscillation of the pendulum. When the aluminum test mass is locked and released by the stainless steel and aluminum tips, the release impulses and their uncertainties are on the order of magnitude of 10-5and 10-7 kg m/s, respectively. This provides a feasible measurement scheme for the impulse testing in the TianQin project.

Accurate prediction of global-density-dependent range-separation parameters based on machine learning.

In this work, we develop an accurate and efficient XGBoost machine learning model for predicting the global-density-dependent range-separation parameter, ωGDD, for long-range corrected functional (LRC)-ωPBE. This ωGDDML model has been built using a wide range of systems (11 466 complexes, ten different elements, and up to 139 heavy atoms) with fingerprints for the local atomic environment and histograms of distances for the long-range atomic correlation for mapping the quantum mechanical range-separation values. The promising performance on the testing set with 7046 complexes shows a mean absolute error of 0.001 117 a0-1 and only five systems (0.07%) with an absolute error larger than 0.01 a0-1, which indicates the good transferability of our ωGDDML model. In addition, the only required input to obtain ωGDDML is the Cartesian coordinates without electronic structure calculations, thereby enabling rapid predictions. LRC-ωPBE(ωGDDML) is used to predict polarizabilities for a series of oligomers, where polarizabilities are sensitive to the asymptotic density decay and are crucial in a variety of applications, including the calculations of dispersion corrections and refractive index, and surpasses the performance of all other popular density functionals except for the non-tuned LRC-ωPBE. Finally, LRC-ωPBE (ωGDDML) combined with (extended) symmetry-adapted perturbation theory is used in calculating noncovalent interactions to further show that the traditional ab initio system-specific tuning procedure can be bypassed. The present study not only provides an accurate and efficient way to determine the range-separation parameter for LRC-ωPBE but also shows the synergistic benefits of fusing the power of physically inspired density functional LRC-ωPBE and the data-driven ωGDDML model.

Characterization Method of Damage Information Based on Heterogeneous Network.

Damage is the main form of conflict, and the characterization of damage information is an important component of conflict evaluation. In the existing research, damage mainly refers to the damage effect of a damage load on the target structure. However, in the actual conflict environment, damage is a complex process that includes the entire process from the initial introduction of the damage load to the target function. Therefore, in this paper, the transfer logic of the damage process is analyzed, and the damage process is sequentially divided into being discovered, being attacked, being hit, and being destroyed in succession. Specifically, first considering the multiple types of each process, the transmission of damage is likened to the flow of damage, a network model to characterize damage information based on heterogeneous network meta-path and network flow theory (HF-MCDI) is established. Then, the characteristics of damage information are analyzed based on the capacity of the damage network, the correlation of the damage path, and the importance of the damage node. In addition, HF-MCDI can not only represent the complete damage information and the transmission characteristics of the damage load but also the structural characteristics of the target. Finally, the feasibility and effectiveness of the established HF-MCDI method are fully demonstrated by the example analysis of the launch platform.

The HDAC10 instructs macrophage M2 program via deacetylation of STAT3 and promotes allergic airway inflammation.

Background: Perturbation of macrophage homeostasis is one of the key mechanisms of airway inflammation in asthma. However, the exact mechanisms remain poorly understood. Objectives: We sought to examine the role of histone deacetylase (HDAC) 10 as an epigenetic regulator that governs macrophage M2 program and promotes airway inflammation in asthma, and to elucidate the underlying mechanisms. Methods: Peripheral blood and airway biopsies were obtained from healthy individuals and asthmatic patients. Asthma was induced by exposure to allergen in mice with myeloid-specific deletion of Hdac10 (Hdac10fl/fl-LysMCre) mice. HDAC10 inhibitor Salvianolic acid B (SAB), STAT3 selective agonist Colivelin, and the specific PI3K/Akt activator 1,3-Dicaffeoylquinic acid (DA) were also used in asthmatic mice. For cell studies, THP1 cells, primary mouse bone marrow derived macrophage (BMDMs) were used and related signaling pathways was investigated. Results: HDAC10 expression was highly expressed by macrophages and promoted M2 macrophage activation and airway inflammation in asthmatic patients and mice. Hdac10fl/fl-LysMCre mice were protected from airway inflammation in experimental asthma model. Hdac10 deficiency significantly attenuated STAT3 expression and decreased M2 macrophage polarization following allergen exposure. Mechanistically, HDAC10 directly binds STAT3 for deacetylation in macrophages, by which it promotes STAT3 expression and activates the macrophage M2 program. Importantly, we identified SAB as a HDAC10 inhibitor that had protective effects against airway inflammation in mice. Conclusions: Our results revealed that HDAC10-STAT3 interaction governs macrophage polarization to promote airway inflammation in asthma, implicating HDAC10 as a therapeutic target.

Smartphone conducted DNA portable quantitative detection platform based on photonic crystals chip and magnetic nanoparticles.

It is of great significance to develop a highly sensitive and intuitive virus detection tool. A portable platform is constructed for quantitative detection of viral DNA based on the principle of fluorescence resonance energy transfer (FRET) between upconversion nanoparticles (UCNPs) and graphene oxide nanosheets (GOs) in this work. To implement a high sensitivity and low detection limit, GOs are modified by magnetic nanoparticles to prepare magnetic graphene oxide nanosheets (MGOs). Among them, the application of MGOs can not only eliminate the background interference, but also amplify the fluorescence intensity to a certain extent. Whereafter, a simple carrier chip based on photonic crystals (PCs) is introduced to realize a visual solid-phase detection, which also amplifies the luminescence intensity of the detection system. Finally, under the application of the 3D printed accessory and smartphone program of red-green-blue (RGB) evaluation, the portable detection can be completed simply and accurately. In a word, this work proposes a portable DNA biosensor with the triple functions of quantification, visualization and real-time detection can be used as a high-quality viral detection strategy and clinical diagnosis method.

Cooperative phototherapy based on bimodal imaging guidance for the treatment of uveal melanoma.

BACKGROUND: Uveal melanoma (UM) is adults' most common primary intraocular malignant tumor, prone to metastasis and high mortality. Eyeball enucleation commonly used in the clinic will lead to permanent blindness and mental disorders. Thus, new methods are urgently needed to diagnose and treat UM early to preserve patients' vision. METHODS AND RESULTS: Herein, multifunctional nanoparticles (NPs) were synthesized by loading chlorin e6 (Ce6) in poly-lactic-co-glycolic acid (PLGA) NPs and wrapping FeIII-tannic acid (FeIII-TA) on the outside (FeIII-TA/PLGA/Ce6, designated as FTCPNPs). Then, the synergistic photothermal therapy (PTT) and photodynamic therapy (PDT) antitumor effects of FTCPNPs excited by near-infrared (NIR) laser were evaluated. Moreover, we verified the mechanism of synergistic PTT/PDT leading to mitochondrial dysfunction and inducing tumor cell apoptosis. Additionally, FTCPNPs can be used as excellent magnetic resonance (MR)/photoacoustic (PA) imaging contrast agents, enabling imaging-guided cancer treatment. Finally, The NPs have good biological safety. CONCLUSION: This noninvasive NIR light-triggered cooperative phototherapy can easily penetrate eye tissue and overcome the disadvantage of limited penetration of phototherapy. Therefore, cooperative phototherapy is expected to be used in fundus tumors. This treatment model is applied to UM for the first time, providing a promising strategy and new idea for integrating the diagnosis and treatment of UM.

Kinetic analysis of RNA cleavage by coronavirus Nsp15 endonuclease: Evidence for acid-base catalysis and substrate-dependent metal ion activation.

Understanding the functional properties of severe acute respiratory syndrome coronavirus 2 nonstructural proteins is essential for defining their roles in the viral life cycle, developing improved therapeutics and diagnostics, and countering future variants. Coronavirus nonstructural protein Nsp15 is a hexameric U-specific endonuclease whose functions, substrate specificity, mechanism, and dynamics are not fully defined. Previous studies report that Nsp15 requires Mn2+ ions for optimal activity; however, the effects of divalent ions on Nsp15 reaction kinetics have not been investigated in detail. Here, we analyzed the single- and multiple-turnover kinetics for model ssRNA substrates. Our data confirm that divalent ions are dispensable for catalysis and show that Mn2+ activates Nsp15 cleavage of two different ssRNA oligonucleotide substrates but not a dinucleotide. Biphasic kinetics of ssRNA substrates demonstrates that Mn2+ stabilizes alternative enzyme states that have faster substrate cleavage on the enzyme. However, we did not detect Mn2+-induced conformational changes using CD and fluorescence spectroscopy. The pH-rate profiles in the presence and absence of Mn2+ reveal active-site ionizable groups with similar pKas of ca. 4.8 to 5.2. An Rp stereoisomer phosphorothioate modification at the scissile phosphate had minimal effect on catalysis supporting a mechanism involving an anionic transition state. However, the Sp stereoisomer is inactive because of weak binding, consistent with models that position the nonbridging phosphoryl oxygen deep in the active site. Together, these data demonstrate that Nsp15 employs a conventional acid-base catalytic mechanism passing through an anionic transition state, and that divalent ion activation is substrate dependent.

[Spatiotemporal Distribution Characteristics of Co-pollution of PM2.5 and Ozone over BTH with Surrounding Area from 2015 to 2021].

PM2.5 and ozone co-pollution, which are harmful to not only human health but also the social economy, has become the pivotal issue in air pollution prevention and synergistic control, especially in Beijing-Tianjin-Hebei and its surrounding areas and "2+26" cities. It is necessary to analyze the correlation between PM2.5 and ozone concentration and explore the mechanism of PM2.5 and ozone co-pollution. In order to study the characteristics of PM2.5 and ozone co-pollution in Beijing-Tianjin-Hebei with its surrounding area, ArcGIS and SPSS software were used to analyze the correlation between air quality data and meteorological data of the "2+26" cities in Beijing-Tianjin-Hebei and its surrounding areas from 2015 to 2021. The results indicated:① PM2.5 pollution constantly decreased from 2015 to 2021, and the pollution was concentrated in the central and southern parts of the region; ozone pollution showed a trend of fluctuation and presented a pattern of "low in the southwest and high in the northeast" spatially. In terms of seasonal variation, PM2.5concentration was mainly in the order of winter>spring ≈ autumn>summer, and O3-8h concentration was in the order of summer>spring>autumn>winter. ② In the research area, days with PM2.5 exceeding the standard continued to decline, whereas days with ozone exceeding the standard fluctuated, and days with co-pollution decreased significantly; there was a strong positive correlation between PM2.5 and ozone concentration in summer, with the highest correlation coefficient of 0.52, and a strong negative correlation in winter. ③ Comparing the meteorological conditions of typical cities during the ozone pollution period with that of the co-pollution period, the co-pollution occurred under the temperature range of 23.7-26.5℃, humidity of 48%-65%, and S-SE wind direction.

Advances in biosynthesis of higher alcohols in Escherichia coli.

In recent years, the development of green energy to replace fossil fuels has been the focus of research. Higher alcohols are important biofuels and chemicals. The production of higher alcohols in microbes has gained attention due to its environmentally friendly character. Higher alcohols have been synthesized in model microorganism Escherichia coli, and the production has reached the gram level through enhancement of metabolic flow, the balance of reducing power and the optimization of fermentation processes. Sustainable bio-higher alcohols production is expected to replace fossil fuels as a green and renewable energy source. Therefore, this review summarizes the latest developments in producing higher alcohols (C3-C6) by E. coli, elucidate the main bottlenecks limiting the biosynthesis of higher alcohols, and proposes potential engineering strategies of improving the production of biological higher alcohols. This review would provide a theoretical basis for further research on higher alcohols production by E. coli.

NIR Activated Multimodal Therapeutics Based on Metal-Phenolic Networks-Functionalized Nanoplatform for Combating against Multidrug Resistance and Metastasis.

Multidrug resistance (MDR) and metastasis in cancer have become increasingly serious problems since antitumor efficiency is greatly restricted by a single therapeutic modality and the insensitive tumor microenvironment (TME). Herein, metal-phenolic network-functionalized nanoparticles (t-P@TFP NPs) are designed to realize multiple therapeutic modalities and reshape the TME from insensitive to sensitive under multimodal imaging monitoring. After a single irradiation, a near-infrared laser-activated multistage reaction occurs. t-P@TFP NPs trigger the phase transition of perfluoropentane (PFP) to release tannic acid (TA)/ferric ion (Fe3+ )-coated paclitaxel (PTX) and cause hyperthermia in the tumor region to efficiently kill cancer cells. Additionally, PTX is released after the disassembly of the TA-Fe3+ film by the abundant adenosine triphosphate (ATP) in the malignant tumor, which concurrently inhibits ATP-dependent drug efflux to improve sensitivity to chemotherapeutic agents. Furthermore, hyperthermia-induced immunogenic cell death (ICD) transforms "cold" tumors into "hot" tumors with the assistance of PD-1/PD-L1 blockade to evoke antitumor immunogenicity. This work carefully reveals the mechanisms underlying the abilities of these multifunctional NPs, providing new insights into combating the proliferation and metastasis of multidrug-resistant tumors.

Long-term statins administration exacerbates diabetic nephropathy via ectopic fat deposition in diabetic mice.

Statins play an important role in the treatment of diabetic nephropathy. Increasing attention has been given to the relationship between statins and insulin resistance, but many randomized controlled trials confirm that the therapeutic effects of statins on diabetic nephropathy are more beneficial than harmful. However, further confirmation of whether the beneficial effects of chronic statin administration on diabetic nephropathy outweigh the detrimental effects is urgently needed. Here, we find that long-term statin administration may increase insulin resistance, interfere with lipid metabolism, leads to inflammation and fibrosis, and ultimately fuel diabetic nephropathy progression in diabetic mice. Mechanistically, activation of insulin-regulated phosphatidylinositol 3-kinase/protein kinase B/mammalian target of rapamycin signaling pathway leads to increased fatty acid synthesis. Furthermore, statins administration increases lipid uptake and inhibits fatty acid oxidation, leading to lipid deposition. Here we show that long-term statins administration exacerbates diabetic nephropathy via ectopic fat deposition in diabetic mice.

HOTAIR modulates hepatocellular carcinoma progression by activating FUT8/core-fucosylated Hsp90/MUC1/STAT3 feedback loop via JAK1/STAT3 cascade.

BACKGROUND: Glycosylation exhibits crucial effect on hepatocellular carcinoma (HCC) progression. Long non-coding RNAs (lncRNAs) are involved in multilevel regulation of gene transcription during tumor development. The purpose of this study is to clarify the potential mechanism that HOTAIR modulates hepatocellular carcinoma progression by activating FUT8/core-fucosylated Hsp90/MUC1/STAT3 feedback loop via JAK1/STAT3 cascade. METHODS: qRT-PCR was used to show the differential expression of genes. Functional experiments were used to measure the malignancy of HCC cells. ChIP and co-IP assays showed the directly interaction of the key molecules. Xenografts was conducted to show the in vivo effects. RESULTS: Upregulation of FUT8 showed closely correlation with HCC progression. Core-fucosylation of Hsp90 stabilized MUC1 binding to the downstream p-STAT3, which involved in the activation of JAK1/STAT3 cascade. STAT3 was identified as the regulator of FUT8 and MUC1 transcription, while FUT8 and MUC1 impacted STAT3 level both in nuclear and cytoplasm. HOTAIR recruited P300 to efficiently bind with STAT3. The transcript complex co-modulated the transcrption of FUT8 and MUC1. Moreover, highly HOTAIR expression also exhibited closely correlation with HCC progression. CONCLUSIONS: FUT8 triggered core-fucosylated-Hsp90/MUC1/P300-HOTAIR-STAT3 cascade via JAK1/STAT3 pathway, which exhibited as positive feedback loop during HCC progression.

Single Solution-Phase Synthesis of Charged Covalent Organic Framework Nanosheets with High Volume Yield.

Covalent organic framework nanosheets (COF-NSs) are emerging building blocks for functional materials, and their scalable fabrication is highly desirable. Current synthetic methods suffer from low volume yields resulting from confined on-surface/at-interface growth space and complex multiple-phase synthesis systems. Herein, we report the synthesis of charged COF-NSs in open space using a single-phase organic solution system, achieving magnitudes higher volume yields of up to 18.7 mg mL-1 . Charge-induced electrostatic repulsion forces enable in-plane anisotropic secondary growth from initial discrete and disordered polymers into large and crystalline COF-NSs. The charged COF-NS colloidal suspensions are cast into thin and compact proton exchange membranes (PEMs) with lamellar morphology and oriented crystallinity, displaying outstanding proton conductivity, negligible dimensional swelling, and good H2 /O2 fuel cell performance.

[Protective effect and mechanism of Maiwei Yangfei Decoction on pulmonary fibrosis mice based on Nrf2 regulation of oxidative stress].

This study explored the effect and mechanism of Maiwei Yangfei Decoction(MWYF) on pulmonary fibrosis(PF) mice. MWYF was prepared, and its main components were detected by ultra-high-performance liquid chromatography-triple quadrupole tandem mass spectrometry(UPLC-MS/MS). Male C57BL/6J mice were randomly divided into a control group, a model group, a pirfenidone(PFD) group, and low-, medium-, and high-dose MWYF groups, with 10 mice in each group. The PF model was induced in mice except for those in the control group by intratracheal instillation of bleomycin(BLM), and model mice were treated with saline or MWYF or PFD by gavage the next day. The water consumption, food intake, hair, and activity of mice were observed daily. The pathological changes in lung tissues were observed by hematoxylin-eosin(HE) staining, Masson staining, and CT scanning. The level of hydroxyproline(HYP) in lung tissues was detected by alkaline hydrolysis. Immunohistochemistry was used to observe the expression of collagen type Ⅲ(COL3) and fibronectin. The mRNA expression levels of α-smooth muscle actin(α-SMA), type Ⅰ collagen α1(COL1α1), COL3, and vimentin were detected by reverse transcription real-time fluorescence quantitative polymerase chain reaction(RT-qPCR). Superoxide dismutase(SOD) and malondialdehyde(MDA) kits were used to detect oxidative stress indicators in lung tissues and serum. The nuclear translocation of nuclear factor E2-related factor 2(Nrf2) protein was detected by immunofluorescence. The protein and mRNA expression levels of Nrf2, catalase(CAT), and heme oxygenase 1(HO-1) in lung tissues were detected by Western blot and RT-qPCR. Twelve chemical components were detected by UPLC-MS/MS. Animal experiments showed that MWYF could improve alveolar inflammation, collagen deposition, and fibrosis in PF mice, increase body weight of mice, and down-regulate the expression of fibrosis indexes such as HYP, α-SMA, COL1α1, COL3, fibronectin, and vimentin in lung tissues. In addition, MWYF could potentiate the activity of SOD in lung tissues and serum of PF mice, up-regulate the expression level of Nrf2, and promote its transfer to the nucleus, up-regulate the levels of downstream antioxidant target genes CAT and HO-1, and then reduce the accumulation of lipid metabolite MDA. In summary, MWYF can significantly improve the pathological damage and fibrosis of lung tissues in PF mice, and its mechanism may be related to the activation of the Nrf2 pathway to regulate oxidative stress.

Apparatuses for verifying the precision of gravimeters with lifting spherical source masses.

Two apparatuses with lifting spherical source masses are built and used to verify the precision of gravimeters. The 333-kg source mass produces a maximum acceleration of 200 nm/s2 with an uncertainty of 0.31 nm/s2, which corresponds to a relative uncertainty of 0.16%. After evaluating the temperature effect, drift of the gravimeter, the atmospheric effect, and the tidal effect, a combined uncertainty of 1 nm/s2 is obtained. One CG6 gravimeter is tested using two apparatuses, the measured accelerations agree with the theoretical values within the error range. Differential measurement with two CG6 gravimeters on one apparatus is performed, which provides a common-mode rejection of the effects due to ambient noise, such as the gravity tide, atmospheric effect, and drift. The difference in acceleration measured by the two gravimeters is determined to be 199 ± 6 nm/s2, which agrees well with the value 200 ± 1 nm/s2 obtained by using apparatus II. Our apparatuses provide a verification of the precision of gravimeters with an uncertainty of 1 nm/s2, which is one of the lowest uncertainties reached so far. The determination of geometrical metrology and mass distribution and detailed error analysis are presented. The methods on error analysis as well as differential measurement used in our work are helpful for gravity measurement.