Heparin prevents caspase-11-dependent septic lethality independent of anticoagulant properties.

Heparin, a mammalian polysaccharide, is a widely used anticoagulant medicine to treat thrombotic disorders. It is also known to improve outcomes in sepsis, a leading cause of mortality resulted from infection-induced immune dysfunction. Whereas it is relatively clear how heparin exerts its anticoagulant effect, the immunomodulatory mechanisms enabled by heparin remain enigmatic. Here, we show that heparin prevented caspase-11-dependent immune responses and lethality in sepsis independent of its anticoagulant properties. Heparin or a chemically modified form of heparin without anticoagulant function inhibited the alarmin HMGB1-lipopolysaccharide (LPS) interaction and prevented the macrophage glycocalyx degradation by heparanase. These events blocked the cytosolic delivery of LPS in macrophages and the activation of caspase-11, a cytosolic LPS receptor that mediates lethality in sepsis. Survival was higher in septic patients treated with heparin than those without heparin treatment. The identification of this previously unrecognized heparin function establishes a link between innate immune responses and coagulation.

Development of an Interpretable Deep Learning Model for Pathological Tumor Response Assessment After Neoadjuvant Therapy.

BACKGROUND: Neoadjuvant therapy followed by surgery has become the standard of care for locally advanced esophageal squamous cell carcinoma (ESCC) and accurate pathological response assessment is critical to assess the therapeutic efficacy. However, it can be laborious and inconsistency between different observers may occur. Hence, we aim to develop an interpretable deep-learning model for efficient pathological response assessment following neoadjuvant therapy in ESCC. METHODS: This retrospective study analyzed 337 ESCC resection specimens from 2020-2021 at the Pudong-Branch (Cohort 1) and 114 from 2021-2022 at the Puxi-Branch (External Cohort 2) of Fudan University Shanghai Cancer Center. Whole slide images (WSIs) from these two cohorts were generated using different scanning machines to test the ability of the model in handling color variations. Four pathologists independently assessed the pathological response. The senior pathologists annotated tumor beds and residual tumor percentages on WSIs to determine consensus labels. Furthermore, 1850 image patches were randomly extracted from Cohort 1 WSIs and binarily classified for tumor viability. A deep-learning model employing knowledge distillation was developed to automatically classify positive patches for each WSI and estimate the viable residual tumor percentages. Spatial heatmaps were output for model explanations and visualizations. RESULTS: The approach achieved high concordance with pathologist consensus, with an R^2 of 0.8437, a RAcc_0.1 of 0.7586, a RAcc_0.3 of 0.9885, which were comparable to two senior pathologists (R^2 of 0.9202/0.9619, RAcc_0.1 of 8506/0.9425, RAcc_0.3 of 1.000/1.000) and surpassing two junior pathologists (R^2 of 0.5592/0.5474, RAcc_0.1 of 0.5287/0.5287, RAcc_0.3 of 0.9080/0.9310). Visualizations enabled the localization of residual viable tumor to augment microscopic assessment. CONCLUSION: This work illustrates deep learning's potential for assisting pathological response assessment. Spatial heatmaps and patch examples provide intuitive explanations of model predictions, engendering clinical trust and adoption (Code and data will be available at https://github.com/WinnieLaugh/ESCC_Percentage once the paper has been conditionally accepted). Integrating interpretable computational pathology could help enhance the efficiency and consistency of tumor response assessment and empower precise oncology treatment decisions.

miR-132-3p promotes heat stimulation-induced esophageal squamous cell carcinoma tumorigenesis by targeting KCNK2.

Epidemiological evidence supports that consumption of high-temperature food and beverages is an important risk factor for esophageal squamous cell carcinoma (ESCC); however, the underlying mechanism still remains unclear. Here, we established a series of animal models and found that drinking 65°C water can promote esophageal tumor progression from preneoplastic lesions to ESCC. RNA sequencing data showed that miR-132-3p was highly expressed in the heat stimulation group compared with controls. Further study verified that miR-132-3p were upregulated in human premalignant lesion tissues of the esophagus, ESCC tissues, and cells. Overexpression of miR-132-3p could promote ESCC cell proliferation and colony formation, whereas knockdown of miR-132-3p could inhibit ESCC progression in vitro and in vivo. Importantly, dual-luciferase reporter assays showed that miR-132-3p could bind with the 3'-untranslated region of KCNK2 and inhibit KCNK2 gene expression. Knockdown or overexpression of KCNK2 could promote or suppress ESCC progression in vitro. These data suggest that heat stimulation can promote ESCC progression and miR-132-3p mediated this process by directly targeting KCNK2.

Frequent EGFR exon 20 insertion in the so-called peripheral-type squamous cell neoplasm of uncertain malignant potential: a variant of bronchiolar adenoma or under-recognised entity?

INTRODUCTION: Herein we describe a series of rare peripheral pulmonary neoplasms temporarily termed "peripheral type squamous cell neoplasm of uncertain malignant potential (PSCN-UMP)" and investigate their relationship to bronchiolar adenoma (BA) and squamous cell carcinoma (SCC). MATERIALS AND METHODS: The histologic and immunohistochemical features of 10 PSCN-UMPs and six BAs were compared. Whole exome sequencing (WES) and bioinformatics analysis were performed to further compare the genetic features of PSCN-UMPs, BAs, and NSCLCs. RESULTS: All PSCN-UMPs were peripherally located and histologically characterised by the lepidic, nested, and papillary proliferation of relatively bland squamous cells, accompanied by entrapped hyperplastic reactive pneumocytes. The basal squamous cells coexpressed TTF1 and squamous markers. Both cellular components exhibited bland morphology and a low proliferative activity. The six BAs met the morphologic and immunophenotypic features of proximal-type BA. Genetically, driver mutations, including frequent EGFR exon 20 insertions, were found in PSCN-UMPs, while the KRAS mutation, BRAF mutation, and ERC1::RET fusion were detected in BAs. PSCN-UMPs also shared some alterations with BAs in mutational signatures, while copy number variants (CNV) were enriched in MET and NKX2-1 in PSCN-UMP and MCL1, MECOM, SGK1, and PRKAR1A in BA. CONCLUSION: PSCN-UMPs exhibited the proliferation of bland squamous cells accompanied by entrapped pneumocytes and frequent EGFR exon 20 insertions, which showed distinct features from BAs and SCCs. Recognition of this specific entity will help to expand the morphologic and molecular spectrum of peripheral lung squamous neoplasms.

Contributors to reductions of PM2.5-bound heavy metal concentrations and health risks in a Chinese megacity during 2013, 2016 and 2019: An advanced method to quantify source-specific risks from various directions.

PM2.5-bound heavy metals were measured in a Chinese megacity (Tianjin) in 2013, 2016 and 2019, and analyzed by a new RSDA method (source directional apportionment of risks). Through combining the receptor model, cluster analysis of back trajectories, and risk assessment, the RSDA was developed in this work to quantify source-specific risks from each direction. Concentrations of PM2.5 and most species (especially for heavy metals) underwent various reductions, and the incremental lifetime cancer risk (ILCR) and non-cancer risk (HQ) declined by more than 80% from 2013 to 2019. Pb was the highest contributor to the reduction of HMs mass concentration (58.6%), while Cr (85.5% for cancer risk) and As (26.0% for non-cancer risk) were more prominent for the reduction of HM risks. The coal combustion and industrial emissions were vital contributors to the reduction of both PM2.5 mass concentrations (contributed 34.0% and 7.8% to the reduction respectively) and health risks (contributed 36.1% and 25.7% to the cancer risk reduction respectively). Although the percentage mass contribution of traffic emissions increased (7.7% in 2013 and 21.9% in 2019), the associated risks decreased (contributed 26.8% to the cancer risk reduction). Furthermore, the results of RSDA consistently implied that coal combustion, industrial emissions and traffic emissions controls in the northeast/north-northeast, south and southwest of the studied area played important roles in the risk reductions, which mainly due to the risk reduction of air masses from NE/NNE, S and SW, and their strong influence to Tianjin. The RSDA method can quantify the health risks from different sources and directions, and the evaluation of contributors to the reductions of risks in this work would provide a meaningful reference for policy maker to control PM2.5 emissions and protect population health.

miR-564: A potential regulator of vascular smooth muscle cells and therapeutic target for aortic dissection.

BACKGROUND: Aortic dissection (AD) is a lethal cardiac disorder and one of the most concerning cardiovascular diseases (CVDs). Increasing evidence indicates that human aortic vascular smooth muscle cells (VSMCs) play a crucial role in the pathogenesis of AD, especially related to phenotypic transformation. And notablely, the development of AD is also accompanied by inflammation. METHODS: By using quantitative real-time PCR and fluorescence in situ hybridization (FISH), we detected the expression levels of miR-564 in vitro and in vivo. The effects of miR-564 proliferation and migration were investigated in VSMCs. The downstream targets of miR-564 were found by bioinformatics analyse, and verified in the regulation on VSMCs. An AD murine model was constructed and clinical evaluation was performed to explore the critical roles of miR-564 in vivo. At the same time, the level of inflammation was detected using quantitative real-time PCR and immunofluorescence. RESULTS: Overexpression of miR-564 inhibited cell proliferation and migration, as well as phenotype switch, with or without platelet-derived growth factor BB (PDGF-BB) treatment, whereas downregulation of miR-564 led to opposite results. Mechanistically, miR-564 directly interacted with the target genes proto-oncogene (SKI) and neurogranin (NRGN) to regulate the biological functions of VSMCs. In particular, animal experiments demonstrated that miR-564 can alleviate the progression of AD mainly through mediating phenotypic swithing and inflammation which was consistent with clinical evaluation. CONCLUSIONS: Our study identified miR-564 as a significant molecule that attenuates AD progression by inhibiting inflammation and VSMCs proliferation, migration and phenotypic transformation, suggesting that it may be a potential therapeutic target for AD.

Rational Design of Endohedral Superhalogens without Using Metal Cations and Electron Counting Rules.

Superhalogens, predicted 40 years ago, have attracted considerable attention due to their potential as building blocks of novel materials with various applications. While a large number of superhalogen clusters have been theoretically predicted and experimentally synthesized, they either require the use of a metal cation or electron counting rules. In particular, very rare endohedral cage clusters in defiance of the above requirements have been found to be superhalogens. In this work, motivated by recent experimental advances in endohedral cage clusters, we present a rational design principle for creating a new class of such superhalogens. Focusing on the chemical formula of A@Si20X20 (A = F, Cl, Br, I, BH4, BF4; X = H, F, Cl, Br, I, BO, CN, SCN, CH3), we use first-principles calculations to study 54 different clusters and show that these clusters possess electron affinities as high as 8.5 eV. Some of these clusters with X = BO and CN can even be stable as dianions, with large second electron affinity ∼2 eV. Similarly, Cl@C60 is found to be a superhalogen. This class of superhalogens is different from the conventional ones with chemical formula MXk+1, where X is a halogen and M is a cation with a formal +k oxidation state. Interestingly, the electron affinities of A@Si20X20 are almost independent of the central A moiety, but are guided by the functional group X. The potential of these endohedral superhalogens as electrolytes in Li-ion batteries is discussed.

Study on the processing chemistry of Fructus Psoraleae by a combination of untargeted and targeted metabolomics.

Fructus Psoralea is widely used to treat osteoporosis and skin inflammatory diseases. Because of the side effects on the liver, renal and cardiovascular systems, it is processed to salt-processed Fructus Psoraleae to meet the requirements of clinical use. However, the mechanisms involved in the transformation of the chemical components are unclear. In this study, ultra-high-performance liquid chromatography quadrupole time-of-flight mass spectrometry was used to analyze the chemical profiles of this herbal medicine and the chemical transformation mechanism involved during the salt processing was studied. A total of 83 compounds were identified. Principal component analysis and orthogonal partial least squares discriminate analysis were used to observe the distribution trend of all samples and visualize the difference. Raw and processed Fructus Psoraleae were clearly clustered into two groups. Furthermore, 17 marker compounds were identified as primary contributors to their differences based on t-test analysis (p < 0.01) and orthogonal partial least squares discriminate analysis (variable importance for the projection > 1). Finally, ultra-high performance liquid chromatography coupled with triple quadrupole tandem mass spectrometry was used to evaluate the quality of Fructus Psoraleae by simultaneous analysis of 13 components highly related to efficacy. There were variations in the contents of 13 chemicals of Fructus Psoraleae and salt-processed products. The results of untargeted and targeted metabolomics revealed that salt processing affected the chemical composition of Fructus Psoraleae.

Rapid Discrimination and Prediction of Ginsengs from Three Origins Based on UHPLC-Q-TOF-MS Combined with SVM.

Ginseng, which contains abundant ginsenosides, grows mainly in the Jilin, Liaoning, and Heilongjiang in China. It has been reported that the quality and traits of ginsengs from different origins were greatly different. To date, the accurate prediction of the origins of ginseng samples is still a challenge. Here, we integrated ultra-high-performance liquid chromatography quadrupole time-of-flight mass spectrometry (UHPLC-Q-TOF-MS) with a support vector machine (SVM) for rapid discrimination and prediction of ginseng from the three main regions where it is cultivated in China. Firstly, we develop a stable and reliable UHPLC-Q-TOF-MS method to obtain robust information for 31 batches of ginseng samples after reasonable optimization. Subsequently, a rapid pre-processing method was established for the rapid screening and identification of 69 characteristic ginsenosides in 31 batches ginseng samples from three different origins. The SVM model successfully distinguished ginseng origin, and the accuracy of SVM model was improved from 83% to 100% by optimizing the normalization method. Six crucial quality markers for different origins of ginseng were screened using a permutation importance algorithm in the SVM model. In addition, in order to validate the method, eight batches of test samples were used to predict the regions of cultivation of ginseng using the SVM model based on the six selected quality markers. As a result, the proposed strategy was suitable for the discrimination and prediction of the origin of ginseng samples.

[Rapid quality evaluation of Glycyrrhizae Radix et Rhizoma and Glycyrrhizae Radix et Rhizoma Praeparata Cum Melle based on color digitization and multi-component determination].

To explore the color value changes after processing and further explore the correlations between color values and internal components, we established a rapid evaluation method for the quality of Glycyrrhizae Radix et Rhizoma and Glycyrrhizae Radix et Rhizoma Praeparata Cum Melle. In this study, the color values of Glycyrrhizae Radix et Rhizoma and Glycyrrhizae Radix et Rhizoma Praeparata Cum Melle were digitized by a spectrophotometer, and the standard ranges of color values of the two herbal medicines were established. Further, a discriminant analysis model was established to quickly and accurately distinguish the two herbal medicines. The content of 9 flavonoids and 1 triterpene in Glycyrrhizae Radix et Rhizoma and Glycyrrhizae Radix et Rhizoma Praeparata Cum Melle were determined by HPLC, and Pearson correlation analysis was adopted to analyze the correlations between the color values and the content of 10 components. The standard ranges of L~*, a~*, and b~* values were 65.539 6-68.305 8, 7.296 3-8.467 3, and 29.998 8-32.212 8 for Glycyrrhizae Radix et Rhizoma, and 43.654 3-47.166 4, 14.050 0-15.133 8, and 16.424 6-20.984 8 for Glycyrrhizae Radix et Rhizoma Praeparata Cum Melle, respectively. Glycyrrhizae Radix et Rhizoma had higher L~* and b~* values and lower a~* value than Glycyrrhizae Radix et Rhizoma Praeparata Cum Melle, which indicated that processing with honey decreased the white and yellow values and increased the red value. The original and cross validation of the established discriminant analysis model met the requirements, and the external validation of the model showed the prediction accuracy of 100%. Pearson correlation analysis showed that the a~* value was positively correlated with the content of liquiritin apioside and isoliquiritin apioside(P<0.05), while the L~* and b~* values were negatively correlated with the content of the above two components(P<0.05). After processing with honey, L~* and b~* decreased while a~* increased, and the content of liquiritin apioside and isoliquiritin apioside increased, which was consistent with the content determination results. This study reveals the regularity of the color values of Glycyrrhizae Radix et Rhizoma after processing with honey roasting, as well as the correlations between color values and component content, which provides a basis for the rapid quality evaluation of Glycyrrhizae Radix et Rhizoma and Glycyrrhizae Radix et Rhizoma Praeparata Cum Melle.

SMAD4 mutation correlates with poor prognosis in non-small cell lung cancer.

SMAD4 is an intracellular signaling mediator of the TGF-ß pathway. Its mutation was commonly observed in gastrointestinal cancers, such as pancreatic cancer. The loss of SMAD4 on immunohistochemical staining is often used to suggest a pancreaticobiliary differentiation in evaluating a metastatic adenocarcinoma with unknown origin. However, the function and molecular mechanism of SMAD4 in non-small cell lung cancer (NSCLC) development are largely unknown. Thus, we studied the correlation between SMAD4 mutations and clinico-molecular features in the patients with NSCLC. We reported the frequencies and prognostic values of SMAD4 mutations in a Chinese NSCLC cohort using next-generation sequencing. The NSCLC cases from several public databases, including The Cancer Genome Atlas and others, were also used in this study to elucidate SMAD4-related molecular partners and mechanisms. Integrated bioinformatics analyses were conducted, such as analysis of Gene Ontology enrichment analysis, gene set enrichment analysis (GSEA), and survival analysis. Immunohistochemistry showed that the tissues harboring SMAD4 mutations tended to show SMAD4 deficiency or loss, while SMAD4 expression was significantly reduced at all stages of NSCLC cases. We found that reduced SMAD4 expression was more frequent in the patients with poor disease-free survival and resistance to platinum-based chemotherapy. SMAD4 mutation was an independent risk factor for the survival of NSCLC patients. The expression of SMAD4 was associated with that of SMAD2. The GSEA showed that SMAD4 might promote NSCLC progression by regulating proliferation, adhesion, and immune response. In conclusion, these data suggest that SMAD4 mutation or loss as well as reduced expression can be used to identify the NSCLC patients with poor survival and resistance to platinum-based chemotherapy. SMAD4 may be a predictive marker or therapeutic target in NSCLC. The source code and user's guide are freely available at Github: https://github.com/wangyue77-ab/smad4 .

Profiling and analysis of multiple constituents in Crataegi Fructus before and after processing by ultrahigh-performance liquid chromatography quadrupole time-of-flight mass spectrometry.

RATIONALE: Crataegi Fructus (CF) is one of the most commonly used herbal medicines with a long history of clinical applications. CF is often processed to minimize gastric membrane irritation, although differently processed products can have different biological effects. The purpose of this study was to comprehensively identify the chemical composition of CF, determine the changes caused by processing, and elucidate the active constituents causing the clinical effects. This study aimed to define a theoretical basis for intensive mechanistic studies of CF processing and its reasonable clinical applications. METHODS: An optimized ultrahigh-performance liquid chromatography quadrupole time-of-flight mass spectrometry (UHPLC/QqTOFMS) method in positive and negative ion modes, coupled with multivariate statistical analyses, was developed for the identification and analysis of chemical components in raw and processed products of CF. RESULTS: A total of 87 compounds were identified, including 61 marker compounds that were found to be primary contributors to the significant differences (p < 0.01) between raw and processed products using principal component analysis, t-test, and Venn analysis. The conversion mechanism for a subset of the changed compounds was inferred by analyzing 25 unique differential components between the raw and processed CF. CONCLUSIONS: A rapid and efficient analytical method for identifying the chemical components in CF before and after processing was successfully established. We show how the changes in the chemical constituents in processed CF could be investigated using multivariate statistical analysis methods, and thus facilitate understanding of the processing mechanism of CF.

Analysis of the chemical composition changes of Gardeniae Fructus before and after processing based on ultra-high-performance liquid chromatography quadrupole time-of-flight mass spectrometry.

Gardeniae Fructus, the dry fruit of Gardenia jasminoides Ellis, has been widely used for the treatment of different diseases. Although four types of processed Gardeniae Fructus products, characterized by differing effects, are available for clinical use, little is known regarding the respective processing mechanisms. In this study, ultra-high-performance liquid chromatography quadrupole time-of-flight mass spectrometry combined with multivariate statistical analysis was applied to characterize the chemical profiles of the differently processed Gardeniae Fructus products and to determine differences in their chemical compositions, thereby enabling us to identify those active compounds associated with the observed clinical effects. A total of 125 compounds were accordingly identified, among which, 56 were established as primary contributors to the significant differences (P < 0.01) between crude and processed Gardeniae Fructus, based on t-test analysis. Furthermore, the potential mechanisms underlying the chemical transformations that occurred during processing were discussed. The findings of this study may not only contribute to the more effective quality control of Gardeniae Fructus but also provide basic information for elucidating the mechanisms underlying the changes in chemical constituents in response to processing, and provide a basis for further investigations of Gardeniae Fructus processing mechanisms.

p21-activated kinase 4 promotes the progression of esophageal squamous cell carcinoma by targeting LASP1.

Esophageal squamous cell carcinoma (ESCC) is one of the most common malignant tumors of the digestive tract in humans. Several studies have indicated that PAK4 is associated with the risk of ESCC and may be a potential druggable kinase for ESCC treatment. However, the underlying mechanism remains largely unknown. The aim of our study is to identify the functional role of PAK4 in ESCC. To determine the expression of PAK4 in ESCC, Western blot analysis and immunohistochemistry were performed, and the results showed that PAK4 is significantly upregulated in ESCC tissues and cell lines compared with normal controls and normal esophageal epithelial cell line. To further investigate the role of PAK4 in ESCC, cell viability assays, anchorage-independent cell growth assays, wound healing assays, cellular invasion assays, in vivo xenograft mouse models, and metastasis assays were conducted, and the results showed that PAK4 can significantly facilitate ESCC proliferation and metastasis in vitro and in vivo. To determine the potential target of PAK4 in ESCC progression, a pull-down assay was performed, and the results showed that LASP1 may be a potential target of PAK4. An immunoprecipitation assay and confocal microscopy analysis confirmed that PAK4 can bind to and colocalize with LASP1 in vitro and in cells. Notably, rescue experiments further illustrated the mechanistic network of PAK4/LASP1. Our research reveals the oncogenic roles of PAK4 in ESCC and preliminarily elucidates the mechanistic network of PAK4/LASP1 in ESCC.

Comparative study of PM10-bound heavy metals and PAHs during six years in a Chinese megacity: Compositions, sources, and source-specific risks.

To comparatively analyze source-specific risks of atmospheric particulate matter (PM), PM10-bound polycyclic aromatic hydrocarbons (PAHs) and heavy metals (HMs) were synchronously detected in a megacity (Chengdu, China) from 2009 to 2016. Non-cancer risk (assessed by hazard quotient, HQ) of PAHs and HMs was within the acceptable level, while cancer risk (assessed by incremental life cancer risk (ILCR), R) of PAHs and HMs were 1.01 × 10-4 and 9.40 × 10-5 in DP and WP, which showed low risk. HMs dominated cancer (92.12%) and non-cancer (99.99%) risks. An advanced method named as joint source-specific risk assessment of HMs and PAHs (HP-SRA model) was developed to assess comprehensive source-specific risks. Gasoline combustion (contributed 9.6% of PM10, 0.3% of HQ and 10.0% of R), diesel combustion (6.2% of PM10, 0.2% of HQ and 10.7% of R), coal combustion (17.5% of PM10, 1.8% of HQ and 13.4% of R), industrial source (9.1% of PM10, 80.7% of HQ and 35.0% of R), crustal dust (28.1% of PM10, 9.0% of HQ and 1.6% of R), nitrate (7.5% of PM10, 1.1% of HQ and 6.2% of R) and sulphate & secondary organic carbon & adsorption (SSA, 19.6% of PM10, 6.9% of HQ and 23.1% of R) were identified as main sources. For cancer risk, industrial sources and SSA posed the highest proportion. Higher levels of Co and Ni generated from industrial sources and Cr (Ⅵ), Cd and Ni absorbed in the SSA can result in high-risk contributions. Thus, controlling HMs levels in industrial emissions is essential to protecting human health.

TRIF signaling is required for caspase-11-dependent immune responses and lethality in sepsis.

BACKGROUND: Caspase-11, a cytosolic receptor of bacterial endotoxin (lipopolysaccharide: LPS), mediates immune responses and lethality in endotoxemia and experimental sepsis. However, the upstream pathways that regulate caspase-11 activation in endotoxemia and sepsis are not fully understood. The aim of this study is to test whether TIR-domain-containing adapter-inducing interferon-ß (TRIF) signaling is critical for caspase-11-dependent immune responses and lethality in endotoxemia. METHODS: Mice of indicated genotypes were subjected to endotoxemia or cecum ligation and puncture (CLP) and monitored daily by signs of a moribund state for lethality. Serum interleukin (IL)-1α, IL-1ß, IL-6 and tumor necrosis factor (TNF) were measured by ELISA. Data were analyzed by using student's t-test or one-way ANOVA followed by post-hoc Bonferroni test. Survival data were analyzed by using the log-rank test. RESULTS: Blockade of type 1 interferon signaling or genetic deletion of TRIF or guanylate-binding proteins (GBPs) prevented caspase-11-dependent immune responses, organ injury and lethality in endotoxemia and experimental sepsis. In vitro, deletion of GBPs blocked cytosolic LPS-induced caspase-11 activation in mouse macrophages. CONCLUSIONS: These findings demonstrate that TRIF signaling is required for caspase-11-dependent immune responses and lethality in endotoxemia and sepsis, and provide novel mechanistic insights into how LPS induces caspase-11 activation during bacterial infection.

Initial evaluation of 99m Tc-tricarbonyl-cyclopentadienyl fatty acids derivatives as SPECT tracers for myocardium.

Fatty acids are myocardial metabolic agent for detecting myocardial ischemia and infraction. However, no 99m Tc-labeled fatty acids had potential use in clinical practice. In this study, 99m Tc-CpTT-10-oxo-para-PPA (1d), 99m Tc-CpTT-11-oxo-para-PPA (2d), 99m Tc-CpTT-12-oxo-para-PPA (3d), 99m Tc-CpTT-11-oxo-ortho-PPA (4d), and 99m Tc-CpTT-11-oxo-meta-PPA (5d) were synthesized by a double ligand transfer reaction, and their biological behaviors were investigated. Compound 2d achieved good heart to blood ratio (3.39 at 5 min after intravenous), and 2d showed high-heart uptake of 6.20% ID/g at 5 minutes after injection. Compound 3d displayed a prolonged retention in the myocardium (1.43% ID/g at 60 min after injection). Radioactivity accumulation in the lungs, spleen, and blood was eliminated rapidly. In vivo, metabolite analysis presented that compound 6d may be metabolite of 2d through ß-oxidation in tissue. Unfortunately, the biodistribution studies of 1d, 2d, 3d, 4d, and 5d showed fast heart clearance and poor heart to liver ratios, which suggested that the 5 99m Tc-labeled fatty acid analogues cannot be used for diagnosis.

High spatial-resolved source-specific exposure and risk in the city scale: Influence of spatial interrelationship between PM2.5 sources and population on exposure.

Research on High Spatial-Resolved Source-Specific Exposure and Risk (HSRSSER) was conducted based on multiple-year, multiple-site synchronous measurement of PM2.5-bound (particulate matter with aerodynamic diameter<2.5 µm) toxic components in a Chinese megacity. The developed HSRSSER model combined the Positive Matrix Factorization (PMF) and Land Use Regression (LUR) to predict high spatial-resolved source contributions, and estimated the source-specific exposure and risk by personal activity time- and population-weighting. A total of 287 PM2.5 samples were collected at ten sites in 2018-2020, and toxic species including heavy metals (HMs), polycyclic aromatic hydrocarbons (PAHs) and organophosphate esters (OPEs) were analyzed. The percentage non-cancer risk were in the order of traffic emission (48 %) > industrial emission (22 %) > coal combustion (12 %) > waste incineration (11 %) > resuspend dust (7 %) > OPE-related products (0 %) ≈ secondary particles (0 %). Similar orders were observed in cancer risk. For traffic emission, due to its higher source contributions and large population in central area, non-cancer and cancer risk fraction increased from 23 % to 48 % and 20 % to 46 % after exposure estimation; while for industrial emission, higher source contributions but small population in suburb area decreased the percentage non-cancer and cancer risk from 38 % to 22 % and 39 % to 24 %, respectively.

GPRC5A is a potential prognostic biomarker and correlates with immune cell infiltration in non-small cell lung cancer.

Background: The tumor microenvironment (TME) plays an important role in tumor progression and immunotherapy responses in non-small cell lung cancer (NSCLC). The programmed cell death 1 (PD-1)/ programmed cell death-ligand 1 (PD-L1) checkpoint is a central mediator of immunosuppression in the TME. However, there is still a need to identify additional biomarkers that could reflect the difference in TME and PD-L1 expression in NSCLC patients. To this end, we focused on the expression of G-protein-coupled receptor family C group 5 type A (GPRC5A) in NSCLC. GPRC5A, is a retinoic acid-inducible gene that plays multiple roles in NSCLC. However, little is known about the role of GPRC5A in regulating the TME and PD-L1. Our objective was to describe the critical role of GPRC5A expression in NSCLC in the setting of immune cell infiltration. Methods: We identified the relationship between GPRC5A expression and the clinicopathologic characteristics of NSCLC patients in the Fudan University Shanghai Cancer Center (FUSCC) cohort. Furthermore, we validated GPRC5A as a predictive biomarker by using public databases to reveal the relationship between GPRC5A expression and immune cell infiltration. To correlate the expression of GPRC5A with the spatial distribution of PD-L1 in NSCLC samples, we performed multiplex immunohistochemistry (mIHC). Results: Low GPRC5A expression is associated with earlier pathological stage (pStage). Analysis of immune cell infiltration indicates there is a relationship between low GPRC5A expression and increased infiltration of CD8+ T cells, activated CD4+ T cells, and M1 macrophages within the TME. Furthermore, low GPRC5A expression is associated with an increased immunophenotype score (IPS) in NSCLC. Additionally, analysis of mIHC reveals there is a correlation between low GPRC5A expression and spatial distribution of tumoral PD-L1 expression. Conclusions: Our study revealed the relationship between low expression of GPRC5A and earlier pStage in NSCLC. Furthermore, we observed that low expression of GPRC5A is associated with increased infiltration of immune cells, higher IPS, and spatial distribution of PD-L1-positive tumor cells. Therefore, we speculate that low expression of GPRC5A is associated with immunotherapy, but further validation is still required.