KDM3A Ablation Activates Endogenous Retrovirus Expression to Stimulate Antitumor Immunity in Gastric Cancer.

The success of immunotherapy for cancer treatment is limited by the presence of an immunosuppressive tumor microenvironment (TME); Therefore, identifying novel targets to that can reverse this immunosuppressive TME and enhance immunotherapy efficacy is essential. In this study, enrichment analysis based on publicly available single-cell and bulk RNA sequencing data from gastric cancer patients are conducted, and found that tumor-intrinsic interferon (IFN) plays a central role in TME regulation. The results shows that KDM3A over-expression suppresses the tumor-intrinsic IFN response and inhibits KDM3A, either genomically or pharmacologically, which effectively promotes IFN responses by activating endogenous retroviruses (ERVs). KDM3A ablation reconfigures the dsRNA-MAVS-IFN axis by modulating H3K4me2, enhancing the infiltration and function of CD8 T cells, and simultaneously reducing the presence of regulatory T cells, resulting in a reshaped TME in vivo. In addition, combining anti-PD1 therapy with KDM3A inhibition effectively inhibited tumor growth. In conclusions, this study highlights KDM3A as a potential target for TME remodeling and the enhancement of antitumor immunity in gastric cancer through the regulation of the ERV-MAVS-IFN axis.

Predicting effect of anti-PD-1/PD-L1 inhibitors therapy for hepatocellular carcinoma by detecting plasma metabolite based on UHPLC-MS.

Introduction: Anti-PD-1/PD-L1 inhibitors therapy has become a promising treatment for hepatocellular carcinoma (HCC), while the therapeutic efficacy varies significantly among effects for individual patients are significant difference. Unfortunately, specific predictive biomarkers indicating the degree of benefit for patients and thus guiding the selection of suitable candidates for immune therapy remain elusive.no specific predictive biomarkers are available indicating the degree of benefit for patients and thus screening the preferred population suitable for the immune therapy. Methods: Ultra-high-pressure liquid chromatography-mass spectrometry (UHPLC-MS) considered is an important method for analyzing biological samples, since it has the advantages of high rapid, high sensitivity, and high specificity. Ultra-high-pressure liquid chromatography-mass spectrometry (UHPLC-MS) has emerged as a pivotal method for analyzing biological samples due to its inherent advantages of rapidity, sensitivity, and specificity. In this study, potential metabolite biomarkers that can predict the therapeutic effect of HCC patients receiving immune therapy were identified by UHPLC-MS. Results: A partial least-squares discriminant analysis (PLS-DA) model was established using 14 glycerophospholipid metabolites mentioned above, and good prediction parameters (R2 = 0.823, Q2 = 0.615, prediction accuracy = 0.880 and p < 0.001) were obtained. The relative abundance of glycerophospholipid metabolite ions is closely related to the survival benefit of HCC patients who received immune therapy. Discussion: This study reveals that glycerophospholipid metabolites play a crucial role in predicting the efficacy of immune therapy for HCC.

Effects of nanobubble water on digestate soaking hydrolysis of rice straw.

This study investigated the performance of combined nanobubble water (NW) and digestate in the soaking hydrolysis process. Two types of NW (CO2NW and O2NW) with digestate were used to soak rice straw for 1, 2, 3, 5, and 7 days. During soaking process, the volatile fatty acids (VFA) concentration in the treatment with O2NW and digestate for 3 days (O2NW-3 d) reached 7179.5 mg-HAc/L. Moreover, the highest specific methane yield (SMY) obtained in this treatment could reach 336.7 NmL/gVS. Although the addition of NW did not significantly increase SMY from digestate soaking, NW could accelerate the rate of methane production and reduce digestion time of T80. The enrichment of Enterobacter in the soaking process was observed when using CO2NW and O2NW as soaking solutions which played important roles in VFA production. This study provides a new insight into environment-friendly enhanced crop straw pretreatment, combining NW and digestate soaking hydrolysis.

Machine Learning-Based Integrated Multiomics Characterization of Colorectal Cancer Reveals Distinctive Metabolic Signatures.

The metabolic signature identification of colorectal cancer is critical for its early diagnosis and therapeutic approaches that will significantly block cancer progression and improve patient survival. Here, we combined an untargeted metabolic analysis strategy based on internal extractive electrospray ionization mass spectrometry and the machine learning approach to analyze metabolites in 173 pairs of cancer samples and matched normal tissue samples to build robust metabolic signature models for diagnostic purposes. Screening and independent validation of metabolic signatures from colorectal cancers via machine learning methods (Logistic Regression_L1 for feature selection and eXtreme Gradient Boosting for classification) was performed to generate a panel of seven signatures with good diagnostic performance (the accuracy of 87.74%, sensitivity of 85.82%, and specificity of 89.66%). Moreover, seven signatures were evaluated according to their ability to distinguish between cancer and normal tissues, with the metabolic molecule PC (30:0) showing good diagnostic performance. In addition, genes associated with PC (30:0) were identified by multiomics analysis (combining metabolic data with transcriptomic data analysis) and our results showed that PC (30:0) could promote the proliferation of colorectal cancer cell SW480, revealing the correlation between genetic changes and metabolic dysregulation in cancer. Overall, our results reveal potential determinants affecting metabolite dysregulation, paving the way for a mechanistic understanding of altered tissue metabolites in colorectal cancer and design interventions for manipulating the levels of circulating metabolites.

Macrophage hitchhiking for systematic suppression in postablative multifocal HCC.

BACKGROUND AND AIMS: HCC, particularly the multifocal HCC, features aggressive invasion and dismal prognosis. Locoregional treatments were often refractory to eliminate tumor tissue, resulting in residual tumor cells persisting and subsequent progression. Owing to problematic delivery to the tumor tissue, systemic therapies, such as lenvatinib (LEN) therapy, show limited clinical benefit in preventing residual tumor progression. Therefore, more advanced strategies for postablative multifocal HCC are urgently needed. APPROACH AND RESULTS: Motivated by the chemotaxis in tumor penetration of macrophages, we report a strategy named microinvasive ablation-guided macrophage hitchhiking for the targeted therapy toward HCC. In this study, the strategy leverages the natural inflammatory gradient induced by ablation to guide LEN-loaded macrophages toward tumor targeting, which increased by ~10-fold the delivery efficiency of LEN in postablative HCC in vivo. Microinvasive ablation-guided macrophage hitchhiking has demonstrated significant antitumor activity in various HCC models, including the hydrodynamic tail vein injection multifocal HCC mouse model and the orthotopic xenograft HCC rabbit model, systematically inhibiting residual tumor progression after ablation and prolonging the median survival of tumor-bearing mice. The potential antitumor mechanism was explored using techniques such as flow cytometry, ELISA, and immunohistochemistry. We found that the strategy significantly suppressed tumor cell proliferation and neovascularization, and such enhanced delivery of LEN stimulated systemic immune responses and induced durable immune memory. CONCLUSIONS: The macrophage hitchhiking strategy demonstrates exceptional therapeutic efficacy and biosafety across various species, offering promising prospects for clinical translation in controlling residual tumor progression and improving outcomes following HCC ablation.

Post-COVID-19 Pandemic Rebound of Macrolide-Resistant Mycoplasma pneumoniae Infection: A Descriptive Study.

The rebound characteristics of respiratory infections after lifting pandemic control measures were uncertain. From January to November 2023, patients presenting at a teaching hospital were tested for common respiratory viruses and Mycoplasma pneumoniae using a combination of antigen, nucleic acid amplification, and targeted next-generation sequencing (tNGS) tests. The number and rate of positive tests per month, clinical and microbiological characteristics were analyzed. A rapid rebound of SARS-CoV-2 was followed by a slower rebound of M. pneumoniae, with an interval of 5 months between their peaks. The hospitalization rate was higher, with infections caused by respiratory viruses compared to M. pneumoniae. Though the pediatric hospitalization rate of respiratory viruses (66.1%) was higher than that of M. pneumoniae (34.0%), the 4094 cases of M. pneumoniae within 6 months posed a huge burden on healthcare services. Multivariate analysis revealed that M. pneumoniae-infected adults had more fatigue, comorbidities, and higher serum C-reactive protein, whereas children had a higher incidence of other respiratory pathogens detected by tNGS or pathogen-specific PCR, fever, and were more likely to be female. A total of 85% of M. pneumoniae-positive specimens had mutations detected at the 23rRNA gene, with 99.7% showing A2063G mutation. Days to defervescence were longer in those not treated by effective antibiotics and those requiring a change in antibiotic treatment. A delayed but significant rebound of M. pneumoniae was observed after the complete relaxation of pandemic control measures. No unusual, unexplained, or unresponsive cases of respiratory infections which warrant further investigation were identified.

π Bridge Engineering-Boosted Dual Enhancement of Type-I Photodynamic and Photothermal Performance for Mitochondria-Targeting Multimodal Phototheranostics of Tumor.

Designing mitochondria-targeting phototheranostic agents (PTAs), which can simultaneously possess exceptional and balanced type-I photodynamic therapy (PDT) and photothermal therapy (PTT) performance, still remains challenging. Herein, benzene, furan, and thiophene were utilized as π bridges to develop multifunctional PTAs. STB with thiophene as a π bridge, in particular, benefiting from stronger donor-accepter (D-A) interactions, reduced the singlet-triplet energy gap (ΔES1-T1), allowed more free intramolecular rotation, and exhibited outstanding near-infrared (NIR) emission, effective type-I reactive oxygen species (ROS) generation, and relatively high photothermal conversion efficiency (PCE) of 51.9%. In vitro and in vivo experiments demonstrated that positive-charged STB not only can actively target the mitochondria of tumor cells but also displayed strong antitumor effects and excellent in vivo imaging ability. This work subtly established a win-win strategy by π bridge engineering, breaking the barrier of making a balance between ROS generation and photothermal conversion, boosting a dual enhancement of PDT and PTT performance, and stimulating the development of multimodal imaging-guided precise cancer phototherapy.

Treatment of maternal syphilis for preventing congenital syphilis: an observational study of adherence to treatment recommendation in Suzhou, China, 2019-2021.

BACKGROUND: China is one of the countries that set the goal to eliminate mother-to-child transmission (EMTCT) of syphilis by a target date. Active screening for syphilis among pregnant women, followed by effective treatment of maternal syphilis, is critical for achieving the goal. The China health authority issued national implementation protocols to guide EMTCT practice in health facilities. METHODS: Within a cohort of infants born to mothers infected with syphilis, we obtained the data of regimens used for treatment of maternal syphilis from the National Information System of Prevention of Mother-to-Child Transmission of HIV, Syphilis and Hepatitis B, and analysed the physician's treatment behaviour and its associated factors in a public hospital in Suzhou of China. RESULTS: A total of 450 pregnant women who were positive for treponemal or non-treponemal antibody, or had previous infection with syphilis were included into the study for analysis. Of them, 260 (57.8%) were positive for both treponemal and non-treponemal antibodies (syphilis seropositivity), and 353 (78.4%) were treated for syphilis according to the protocol in which 123 (34.8%) were treated with two courses. Non-adherence to treatment recommended by the protocol for maternal syphilis was significantly associated with antenatal visits in the third trimester (AOR 6.65, 95% CI 2.20-20.07, P =0.001), being positive only for a treponemal test (AOR 5.34, 95% CI 3.07-9.29, P <0.001) or having a syphilis infection before the pregnancy (AOR 2.05, 95% CI 1.14-3.69, P =0.017), whereas the uptake of treatment for two treatment courses was associated with attending antenatal care in 2020 or before (AOR 3.49, 95% CI 1.89-6.42, P <0.001), being positive for treponemal and non-treponemal tests (AOR 5.28, 95% CI 2.78-10.06, P <0.001) or having non-treponemal antibody titre of ≥1:8 (AOR 3.71, 95% CI 1.77-7.78, P =0.001). CONCLUSIONS: Implementation of the current recommendation to offer a universal treatment for syphilis among all pregnant women who are shown to be positive for a treponemal test alone is challenging in some clinical settings in China.

Nuclear VCP drives colorectal cancer progression by promoting fatty acid oxidation.

Fatty acid oxidation (FAO) fuels many cancers. However, knowledge of pathways that drive FAO in cancer remains unclear. Here, we revealed that valosin-containing protein (VCP) upregulates FAO to promote colorectal cancer growth. Mechanistically, nuclear VCP binds to histone deacetylase 1 (HDAC1) and facilitates its degradation, thus promoting the transcription of FAO genes, including the rate-limiting enzyme carnitine palmitoyltransferase 1A (CPT1A). FAO is an alternative fuel for cancer cells in environments exhibiting limited glucose availability. We observed that a VCP inhibitor blocked the upregulation of FAO activity and CPT1A expression triggered by metformin in colorectal cancer (CRC) cells. Combined VCP inhibitor and metformin prove more effective than either agent alone in culture and in vivo. Our study illustrates the molecular mechanism underlying the regulation of FAO by nuclear VCP and demonstrates the potential therapeutic utility of VCP inhibitor and metformin combination treatment for colorectal cancer.

IDH1 mutation impairs antiviral response and potentiates oncolytic virotherapy in glioma.

IDH1 mutations frequently occur early in human glioma. While IDH1 mutation has been shown to promote gliomagenesis via DNA and histone methylation, little is known regarding its regulation in antiviral immunity. Here, we discover that IDH1 mutation inhibits virus-induced interferon (IFN) antiviral responses in glioma cells. Mechanistically, D2HG produced by mutant IDH1 enhances the binding of DNMT1 to IRF3/7 promoters such that IRF3/7 are downregulated, leading to impaired type I IFN response in glioma cells, which enhances the susceptibility of gliomas to viral infection. Furthermore, we identify DNMT1 as a potential biomarker predicting which IDH1mut gliomas are most likely to respond to oncolytic virus. Finally, both D2HG and ectopic mutant IDH1 can potentiate the replication and oncolytic efficacy of VSVΔ51 in female mouse models. These findings reveal a pivotal role for IDH1 mutation in regulating antiviral response and demonstrate that IDH1 mutation confers sensitivity to oncolytic virotherapy.

Targeting VCP potentiates immune checkpoint therapy for colorectal cancer.

Immune checkpoint blockade therapies are still ineffective for most patients with colorectal cancer (CRC). Immunogenic cell death (ICD) enables the release of key immunostimulatory signals to drive efficient anti-tumor immunity, which could be used to potentiate the effects of immune checkpoint inhibitors. Here, we showed that inhibition of valosin-containing protein (VCP) elicits ICD in CRC. Meanwhile, VCP inhibitor upregulates PD-L1 expression and compromises anti-tumor immunity in vivo. Mechanistically, VCP transcriptionally regulates PD-L1 expression in a JAK1-dependent manner. Combining VCP inhibitor with anti-PD1 remodels tumor immune microenvironment and reduces tumor growth in mouse models of CRC. Addition of oncolytic virus further augments the therapeutic activity of the combination regimen. Our study shows the molecular mechanism for regulating PD-L1 expression by VCP and suggests that inhibition of VCP has the potential to increase the efficacy of immunotherapy in CRC.

Glioblastoma Vascular Plasticity Limits Effector T-cell Infiltration and Is Blocked by cAMP Activation.

Glioblastoma (GBM) is the deadliest form of brain cancer. It is a highly angiogenic and immunosuppressive malignancy. Although immune checkpoint blockade therapies have revolutionized treatment for many types of cancer, their therapeutic efficacy in GBM has been far less than expected or even ineffective. In this study, we found that the genomic signature of glioma-derived endothelial cells (GdEC) correlates with an immunosuppressive state and poor prognosis of patients with glioma. We established an in vitro model of GdEC differentiation for drug screening and used this to determine that cyclic adenosine monophosphate (cAMP) activators could effectively block GdEC formation by inducing oxidative stress. Furthermore, cAMP activators impaired GdEC differentiation in vivo, normalized the tumor vessels, and altered the tumor immune profile, especially increasing the influx and function of CD8+ effector T cells. Dual blockade of GdECs and PD-1 induced tumor regression and established antitumor immune memory. Thus, our study reveals that endothelial transdifferentiation of GBM shapes an endothelial immune cell barrier and supports the clinical development of combining GdEC blockade and immunotherapy for GBM. See related Spotlight by Lee et al., p. 1300.

A new strategy for searching determinants in colorectal cancer progression through whole-part relationship combined with multi-omics.

The high incidence and mortality of colorectal cancer (CRC) and the lack of adequate diagnostic molecules have led to poor treatment outcomes for colorectal cancer, making it particularly important to develop methods to obtain molecular with significant diagnostic effects. Here, we proposed a whole and part study strategy (early-stage colorectal cancer as "part" and colorectal cancer as "whole") to identify specific and co-pathways of change in early-stage and colorectal cancers and to discover the determinants of colorectal cancer development. Metabolite biomarkers discovered in plasma may not necessarily reflect the pathological status of tumor tissue. To explore the determinant biomarkers associated with plasma and tumor tissue in the CRC progression, multi-omics were performed on three phases of biomarker discovery studies (discovery, identification and validation) including 128 plasma metabolomes and 84 tissue transcriptomes. Importantly, we observe that the metabolic levels of oleic acid and FA (18:2) in patients with colorectal cancer were much higher than in healthy people. Finally, biofunctional verification confirmed that oleic acid and FA (18:2) can promote the growth of colorectal cancer tumor cells and be used as plasma biomarkers for early-stage colorectal cancer. We propose a novel research strategy to discover co-pathways and important biomarkers that may be targeted for a potential role in early colorectal cancer, and our work provides a promising tool for the clinical diagnosis of colorectal cancer.

[Temporal and Spatial Distribution, Utilization Status, and Carbon Emission Reduction Potential of Straw Resources in China].

Based on the crop yield data of China and each region from 1981 to 2020 (excluding data from Hong Kong, Macao, and Taiwan), by using the grain-straw ratio method, this study estimated the total amount of crop straw and collectable amount of crops, including corn, rice, wheat, other cereals, cotton, rapeseeds, peanuts, beans, tubers, sesame, fiber crops, sugarcane, and beetroots, and the spatial and temporal distribution characteristics of resource density and per capita resources of crop straw were analyzed. This study analyzed the current utilization mode, development, and change of crop straw in China. Finally, we used the life circle assessment (LCA) method to estimate the carbon emission reduction potential of biochar prepared from crop straw. The main findings were:from 1981 to 2020, the temporal distribution trend of theoretical crop straw resources and collectable straw resources in China generally showed a steady growth trend, and the two increased from 3.33×108 t and 3.04×108 t in 1981 to the highest values of 7.70×108 t and 6.63×108 t in 2020, with a net increase of 4.37×108 t and 3.59×108 t, respectively. The net increase in rice, wheat, and corn straw resources was 3.69×108t, accounting for between 77% and 85% of the total crop straw and always occupying the main position of straw resources in China. The proportion of wheat straw in the total amount of straw was maintained at approximately 20%, rice straw resources decreased from 44% to 28.4%, and corn straw increased from 19.9% to 34.2% from 1981 to 2020. In 2020, the total theoretical resources of crop straw in China were 7.72×108 t, and the source structures were:rice 28.4%, wheat 21.45%, corn 31.45%, other cereals 1.4%, beans 3.4%, tubers 0.82%, cotton 2.28%, peanuts 2.97%, rapeseeds 3.4%, sesame 0.12%, fiber crops 0.06%, beetroots 0.67%, and sugarcane 0.84%. As to the spatial distribution of crop straw resources in China in 2020, the locations with straw resources ≥ 60 million tons included Heilongjiang, Henan, and Shandong, of which Henan had as much as 88.56 million tons; those with between 40 million and 60 million tons included Hebei, Inner Mongolia, Jiangsu, and Anhui; those with between 20 million and 40 million tons included Liaoning, Jilin, Jiangxi, Hubei, Hunan, Sichuan, Yunnan, and Xinjiang; and the straw resources in the rest of the region were below 20 million tons. Rice straw was mostly distributed in the middle and lower reaches of the Yangtze River and the Northeast region, of which the amount of Heilongjiang rice straw was the largest, with 31.86 million tons; wheat straw was mainly distributed in North China, with Henan having the most abundant resources (48.04 million tons). Corn straw was mainly distributed in Northeast China and North China, of which Heilongjiang and Inner Mongolia corn straw resources were relatively rich, with 33.18 million tons and 29.90 million tons, respectively. Crop straw resource density and per capita resources were shared in 2020 in China. The average density of crop straw resources in China was 4.61 t·hm-2, and the average densities of crop straw resources in various agricultural areas were 5.39 t·hm-2 in Northeast China, 5.42 t·hm-2 in North China, 4.45 t·hm-2 in the Mengxin Region, 4.44 t·hm-2 in the middle and lower reaches of the Yangtze River, 3.92 t·hm-2in Tibet, 3.40 t·hm-2 in the Loess Plateau, 3.08 t·hm-2 in South China, and 2.91 t·hm-2 in Southwest China. The average per capita share of straw resources was 0.55 t. The average values of per capita straw resources in each region were:1.46 t in the Northeast area, 1.20 t in the Mengxin Region, 0.47 t in North China, 0.44 t in the middle and lower reaches of the Yangtze River, 0.40 t in the Loess Plateau, 0.37 t in the Southwest area, 0.33 t in the Qinghai-Tibet area, and 0.20 t in the South China area. The utilization of crop straw in China was diversified. Fertilizer and feed were the main utilizations, accounting for 62.1% and 15.4%, respectively. In 2020, collectable crop straw resources for the preparation of biochar totaled 2.04×108 t in China. Renewable energy replaced fossil fuels in the process of preparing biochar, which could reduce CO2e(CO2e:CO2 equivalent) emissions by 1.45×108 t. Biochar could sequester approximately 4.63×108 t of CO2e; biochar application was able to reduce chemical fertilizer application to achieve a CO2 emission reduction of 8.58×105 t; and biochar application could promote crop yield in order to reduce CO2e emissions by approximately 7.77×106 t. The inhibition of N2, respectively. In the process of biochar preparation and application, the total greenhouse gas emission was 3.32×107 t, and the net greenhouse effect emission reduction reached 5.86×108 t, i.e., it could sequester 0.88 t CO2e per ton of raw materials. The net greenhouse gas emission reduction of unused straw was 6.73×107 t in 2020. With the continuous harvest of grain crops in China, the potential of biochar preparation and carbon sequestration will increase yearly. Using crop straw to prepare biochar has great potential and will be one of the most effective ways to achieve carbon emission reduction in agriculture. It is suggested that government departments should pay attention to the preparation of biochar, support the field experiments of biochar application effects after applying soil on policy and funds, and then introduce relevant biochar standards to ensure the scientific application of biochar prepared by crop straw according to local conditions, so as to achieve the dual benefits of carbon emission reduction and soil remediation and yield increase.

The RNA polymerase of cytoplasmically replicating Zika virus binds with chromatin DNA in nuclei and regulates host gene transcription.

Zika virus (ZIKV) targets the neural progenitor cells (NPCs) in brain during intrauterine infections and consequently causes severe neurological disorders, such as microcephaly in neonates. Although replicating in the cytoplasm, ZIKV dysregulates the expression of thousands of host genes, yet the detailed mechanism remains elusive. Herein, we report that ZIKV encodes a unique DNA-binding protein to regulate host gene transcription in the nucleus. We found that ZIKV NS5, the viral RNA polymerase, associates tightly with host chromatin DNA through its methyltransferase domain and this interaction could be specifically blocked by GTP. Further study showed that expression of ZIKV NS5 in human NPCs markedly suppressed the transcription of its target genes, especially the genes involved in neurogenesis. Mechanistically, ZIKV NS5 binds onto the gene body of its target genes and then blocks their transcriptional elongation. The utero electroporation in pregnant mice showed that NS5 expression significantly disrupts the neurogenesis by reducing the number of Sox2- and Tbr2-positive cells in the fetal cortex. Together, our findings demonstrate a molecular clue linking to the abnormal neurodevelopment caused by ZIKV infection and also provide intriguing insights into the interaction between the host cell and the pathogenic RNA virus, where the cytoplasmic RNA virus encodes a DNA-binding protein to control the transcription of host cell in the nuclei.

H-NS Represses Biofilm Formation and c-di-GMP Synthesis in Vibrio parahaemolyticus.

Objective: This study aimed to investigate the regulation of histone-like nucleoid structuring protein (H-NS) on biofilm formation and cyclic diguanylate (c-di-GMP) synthesis in Vibrio parahaemolyticus RIMD2210633. Methods: Regulatory mechanisms were analyzed by the combined utilization of crystal violet staining, quantification of c-di-GMP, quantitative real-time polymerase chain reaction, LacZ fusion, and electrophoretic-mobility shift assay. Results: The deletion of hns enhanced the biofilm formation and intracellular c-di-GMP levels in V. parahaemolyticus RIMD2210633. H-NS can bind the upstream promoter-proximal DNA regions of scrA, scrG, VP0117, VPA0198, VPA1176, VP0699, and VP2979 to repress their transcription. These genes encode a group of proteins with GGDEF and/or EAL domains associated with c-di-GMP metabolism. Conclusion: One of the mechanisms by which H-NS represses the biofilm formation by V. parahaemolyticus RIMD2210633 may be via repression of the production of intracellular c-di-GMP.

Quantum correlation propagation in a waveguide-QED system with long-range interaction.

We investigate the excitation and correlation propagations among a one-dimensional atom chain with exponentially decaying, ideal long-range, and power-law decaying interactions. We show that although a clear light-cone-like structure can appear in both the excitation and correlation propagation patterns under the exponentially decaying interaction, only an obscure light-cone-like structure appears with multi-power-law decaying interaction and surprisingly an inverse light-cone-like structure appears in the ideal long-range interaction case. The extracted excitation and correlation propagation velocities in the ideal long-range interaction case are about one order of magnitude larger than those in the multi-power-law interaction case and about two orders of magnitude larger than those in the short-range interaction case. These results indicate that the waveguide-quantum electrodynamics system with long-range interaction can boost the quantum information transfer speed and is beneficial for building fast quantum network and scalable quantum computer.

[Effect of Negative Regulation of LncRNA XIST to MiR-196b on the Biological Behavior of Acute Myeloid Leukemia Cells KG1a].

OBJECTIVE: To investigate the effect and molecular mechanism of lncRNA X-inactive specific transcript (XIST) on the proliferation and apoptosis of acute myeloid leukemia cells KG1a. METHODS: Forty-one patients with acute myeloid leukemia from January 2017 to May 2019 treated in Beijing Aerospace Center Hospital were collected, as well as 20 patients who conformed to the international standard of iron deficiency anemia as control group. KG1a cells were divided into pcDNA group, pcDNA-XIST group, pcDNA-XIST+miR-NC group, and pcDNA-XIST+miR-196b group. Real-time fluorescence quantitative PCR was used to detect the expressions of XIST and miR-196b, CCK-8 was used to detect cell activity, flow cytometry was used to detect cell cycle and apoptosis, Western blot method was used to detect the protein expressions of cleaved-caspase3, pro-caspase3, Bax, and Bcl-2, and dual luciferase report experiment was used to detect the targeting relationship between XIST and miR-196b. RESULTS: The expression level of lncRNA XIST in bone marrow cells in the AML group was significantly lower than that in the iron deficiency anemia group (P<0.001). Compared with pcDNA group, the expression level of lncRNA XIST, proportion of cells in G0/G1 phase, apoptosis rate, and the expression levels of cleaved-caspase3 and Bax in the pcDNA-XIST group of KG1a cells were significantly increased (all P<0.001), while the expression level of miR-196b, cell viability, the proportion of S-phase cells, and the expression levels of pro-caspase3 and Bcl-2 were significantly decreased (all P<0.001). Compared with pcDNA-XIST group, the cell activity, proportion of S-phase cells, and the expression levels of pro-caspase3 and Bcl-2 in the pcDNA-XIST+miR-196b group were significantly increased (all P<0.001), while the proportion of cells in the G0/G1 phase, apoptosis rate, and the expression levels of cleaved-caspase3 and Bax decreased (all P<0.001). CONCLUSION: Overexpression of lncRNA XIST can inhibit the proliferation of acute myeloid leukemia cells KG1a and promote apoptosis by down-regulating the expression of miR-196b.

Metabolic-Dysregulation-Based iEESI-MS Reveals Potential Biomarkers Associated with Early-Stage and Progressive Colorectal Cancer.

The application of rapid and accurate diagnostic methods can improve colorectal cancer (CRC) survival rates dramatically. Here, we used a non-targeted metabolic analysis strategy based on internal extractive electrospray ionization mass spectrometry (iEESI-MS) to detect metabolite ions associated with the progression of CRC from 172 tissues (45 stage I/II CRC, 41 stage III/IV CRC, and 86 well-matched normal tissues). A support vector machine (SVM) model based on 10 differential metabolite ions for differentiating early-stage CRC from normal tissues was built with a good prediction accuracy of 92.6%. The biomarker panel consisting of lysophosphatidylcholine (LPC) (18:0) has good diagnostic potential in differentiating early-stage CRC from advanced-stage CRC. We showed that the down-regulation of LPC (18:0) in tumor tissues is associated with CRC progression and related to the regulation of the epidermal growth factor receptor. Pathway analysis showed that metabolic pathways in CRC are related to glycerophospholipid metabolism and purine metabolism. In conclusion, we built an SVM model with good performance to distinguish between early-stage CRC and normal groups based on iEESI-MS and found that LPC (18:0) is associated with the progression of CRC.

CDK4/6 Inhibition Enhances Oncolytic Virus Efficacy by Potentiating Tumor-Selective Cell Killing and T-cell Activation in Refractory Glioblastoma.

Glioblastoma (GBM) is among the most aggressive human cancers. Although oncolytic virus (OV) therapy has been proposed as a potential approach to treat GBM, it frequently fails because GBM cells are usually nonpermissive to OV. Here, we describe a dual-step drug screen for identifying chemical enhancers of OV in GBM. From a high-throughput screen of 1416 FDA-approved drugs, an inhibitor of CDK4/6 was identified as the top enhancer, selectively increasing potency of two OV strains, VSVΔ51 and Zika virus. Mechanistically, CDK4/6 inhibition promoted autophagic degradation of MAVS, resulting in impaired antiviral responses and enhanced tumor-selective replication of VSVΔ51 in vitro and in vivo. CDK4/6 inhibition cooperated with VSVΔ51 to induce severe DNA damage stress and amplify oncolysis. In GBM xenograft models, combined treatment with CDK4/6 inhibitor and VSVΔ51 significantly inhibited tumor growth and prolonged the survival of tumor-bearing mice. Further investigation revealed that CDK4/6 inhibitor and VSVΔ51 synergistically induced immunogenic cell death and boosted antitumor immunity. Together, this study features a promising approach of treating aggressive GBM through the combination of CDK4/6 inhibitor with OV. SIGNIFICANCE: This study proposes inhibition of cyclin-dependent kinases as a clinically translatable combinatorial strategy to enhance the efficacy of oncolytic virotherapy in GBM.