Tailoring Li+ Local Coordination Environment of Solid Polymer Electrolytes to Boom Ionic Conductivity.

The low ionic conductivity is the key issue of solid polymer electrolytes (SPEs), hampering their practical application. Great efforts have been devoted to reducing their crystallinity to increase ionic conductivity but ignored their Li+ local coordination environment influence. Here, Li+ local coordination environment tunable poly(vinylidene fluoride-co-hexafluoropropylene)-based solid-state electrolytes are experimentally realized via d-cellobiose octaacetate. d-cellobiose octaacetate competes with anions and polymer chains for coordination of Li+ thorough C═O groups to weaken their coordination of Li+, increase the number of carriers, and strengthen the transport kinetics of Li+, booming the ionic conductivity of SPEs at room temperature. When used in lithium metal symmetric batteries and full batteries, SPEs greatly improve their electrochemical performance at 25 °C. This work clarifies the important influence of Li+ local coordination environment on Li+ transport and provides a promising strategy to improve the ionic conductivity of SPEs.

A UAV Thermal Imaging Format Conversion System and Its Application in Mosaic Surface Microthermal Environment Analysis.

UAV thermal infrared remote sensing technology, with its high flexibility and high temporal and spatial resolution, is crucial for understanding surface microthermal environments. Despite DJI Drones' industry-leading position, the JPG format of their thermal images limits direct image stitching and further analysis, hindering their broad application. To address this, a format conversion system, ThermoSwitcher, was developed for DJI thermal JPG images, and this system was applied to surface microthermal environment analysis, taking two regions with various local zones in Nanjing as the research area. The results showed that ThermoSwitcher can quickly and losslessly convert thermal JPG images to the Geotiff format, which is further convenient for producing image mosaics and for local temperature extraction. The results also indicated significant heterogeneity in the study area's temperature distribution, with high temperatures concentrated on sunlit artificial surfaces, and low temperatures corresponding to building shadows, dense vegetation, and water areas. The temperature distribution and change rates in different local zones were significantly influenced by surface cover type, material thermal properties, vegetation coverage, and building layout. Higher temperature change rates were observed in high-rise building and subway station areas, while lower rates were noted in water and vegetation-covered areas. Additionally, comparing the temperature distribution before and after image stitching revealed that the stitching process affected the temperature uniformity to some extent. The described format conversion system significantly enhances preprocessing efficiency, promoting advancements in drone remote sensing and refined surface microthermal environment research.

A bibliometric analysis of oncolytic virotherapy combined with immunotherapy.

Oncolytic virotherapy in combination with immunotherapy has demonstrated significant survival benefits in some types of cancer. Here, we summarized the development, research hotpots and potential trends of the combination therapy using visual bibliometric analysis. A total of 712 articles were retrieved on June 21, 2023. The USA was the top contributors of any country (325, 45.65%), and the Rluk Research Libraries UK ranked first (43, 6.03%) of any institutions. The Journal for ImmunoTherapy of Cancer was with the largest publications (60, 8.43%). 'Tumor microenvironment' and 'delivery' were citation keywords with the strongest ongoing bursts. Research fronts in the future may focus on the methods of virus delivery and tumor microenvironment modulation. Futhermore, the most extensively studied cancer were melanoma, glioma and hepatocellular carcinoma.

Effectiveness, safety, and biomarker analysis of lenvatinib plus toripalimab as chemo-free therapy in advanced intrahepatic cholangiocarcinoma: a real-world study.

BACKGROUND: Treatment options for advanced intrahepatic cholangiocarcinoma (ICC) are currently limited. Chemo-containing regimens are the mainstay treatments but associated with notable toxicity, poor tolerance, and reduced compliance, necessitating exploration of alternative therapies. Lenvatinib plus PD-1 inhibitors has shown substantial clinical activity in preliminary studies. This study aimed to assess the effectiveness and safety of lenvatinib plus toripalimab (a novel PD-1 antibody) as chemo-free therapy in advanced ICC. METHODS: This retrospective study included consecutive advanced ICC patients receiving lenvatinib plus toripalimab between February 2019 and December 2023. The main outcomes were overall survival (OS), progression-free survival (PFS), objective response rate (ORR), disease control rate (DCR), and safety. Prognostic factors and exploratory analyses for genetic alternations were also conducted. RESULTS: A total of 78 patients were included, with a median follow-up of 25.9 months. Median OS and PFS were 11.3 (95% CI: 9.5-13.1) and 5.4 (95% CI: 3.8-7.0) months, respectively. ORR was 19.2% and DCR was 75.6%. The incidence of grade 3 or 4 adverse events (AEs) was 50.0%, with no grade 5 AEs reported. Patients with normal baseline CA19-9 levels exhibited a higher ORR (p = 0.011), longer PFS (11.5 versus 4.6 months; HR 0.47; p=0.005), and OS (21.0 versus 9.7 months; HR 0.43; p=0.003). The presence of IDH1 mutations correlated with increased ORR (60.0% versus 8.9%, p=0.016). CONCLUSION: Lenvatinib plus toripalimab represents an effective and well-tolerated chemo-free therapeutic option for advanced ICC. Baseline CA19-9 levels and IDH1 mutations may serve as predictive treatment-related biomarkers.

Efficacy and safety of lenvatinib combined with anti-PD-1 antibodies plus GEMOX chemotherapy as non-first-line systemic therapy in advanced gallbladder cancer.

BACKGROUND: Lenvatinib, programmed cell death 1 (PD-1) antibodies, and gemcitabine and oxaliplatin (GEMOX) chemotherapy have shown significant antitumor activity as first-line therapy against biliary tract cancer. This study evaluated their efficacy and safety as non-first-line therapy in advanced gallbladder cancer (GBC). METHODS: Patients with advanced GBC who received lenvatinib combined with anti-PD-1 antibodies and GEMOX chemotherapy as a non-first-line therapy were retrospectively analyzed. The primary endpoints were overall survival (OS) and progression-free survival (PFS), and the secondary endpoints were objective response rate (ORR) and safety. RESULTS: A total of 36 patients with advanced GBC were included in this study. The median follow-up time was 11.53 (95% confidence interval (CI): 2.2-20.9) months, and the ORR was 36.1%. The median OS and PFS were 15.1 (95% CI: 3.2-26.9) and 6.1 (95% CI: 4.9-7.2) months, respectively. The disease control rate (DCR) and clinical benefit rate (CBR) were 75% and 61.1%, respectively. Subgroup analysis demonstrated that patients with programmed cell death-ligand 1 (PD-L1) expression had significantly longer PFS and OS than those without PD-L1 expression. Additionally, patients with a neutrophil-lymphocyte ratio (NLR) < 5.57 had a longer OS than those with an NLR ≥ 5.57. All patients experienced adverse events (AEs), with 61.1% experiencing grade 3 or 4 AEs, including myelosuppression (13.9%) and fatigue (13.3%), alanine transaminase or aspartate transaminase levels (8.3%), and diarrhea (8.3%). No grade 5 AEs were reported. CONCLUSION: Anti-PD-1 antibodies combined with lenvatinib and GEMOX chemotherapy are effective and well-tolerated as a non-first-line therapy in advanced GBC. PD-L1 expression and baseline NLR may potentially predict treatment efficacy.

Impact of non-selective beta blockers on further decompensation and death in decompensated cirrhosis: Benefit and risk stratification by MELD score.

BACKGROUND: Non-selective beta blockers (NSBBs) can reduce the risk of decompensation, but their impact on further decompensation has been rarely investigated. AIMS: The aim is to evaluate the impact of NSBBs on further decompensation and death in decompensated cirrhosis stratified by the severity of liver disease. METHODS: Overall, 332 decompensated cirrhotic patients were retrospectively included, of whom 149 used NSBBs. Kaplan-Meier and Nelson-Aalen cumulative risk curves as well as Cox regression and competing risk analyses were used to estimate the associations of NSBBs with further decompensation and death, if appropriate. Hazard ratio (HR) and sub-distribution HR (sHR) were calculated. Subgroup analyses were performed based on the model for end-stage liver disease (MELD) score at admission. RESULTS: In the overall analysis, the use of NSBBs was not significantly associated with further decompensation in multivariate competing risk analysis (sHR = 1.09, p = 0.580). In the subgroup analysis of patients with a MELD score of ≤9, the use of NSBBs was significantly associated with decreased risk of further decompensation in multivariate competing risk analysis (sHR = 0.57, p = 0.021). In the subgroup analysis of patients with a MELD score of >9, the use of NSBBs was associated with increased risk of further decompensation in multivariate competing risk analysis (sHR = 1.45, p = 0.044). Regardless of overall and subgroup analyses, the use of NSBBs was not significantly associated with death in multivariate Cox regression analyses. CONCLUSION: NSBBs may be beneficial for the prevention of further decompensation in cirrhotic patients with a MELD score of ≤9, but deleterious in those with a MELD score of >9.

Developing Patient-Derived 3D-Bioprinting models of pancreatic cancer.

INTRODUCTION: Pancreatic cancer (PC) remains a challenging malignancy, and adjuvant chemotherapy is critical in improving patient survival post-surgery. However, the intrinsic heterogeneity of PC necessitates personalized treatment strategies, highlighting the need for reliable preclinical models. OBJECTIVES: This study aimed to develop novel patient-derived preclinical PC models using three-dimensional bioprinting (3DP) technology. METHODS: Patient-derived PC models were established using 3DP technology. Genomic and histological analyses were performed to characterize these models and compare them with corresponding patient tissues. Chemotherapeutic drug sensitivity tests were conducted on the PC 3DP models, and correlations with clinical outcomes were analyzed. RESULTS: The study successfully established PC 3DP models with a modeling success rate of 86.96%. These models preserved genomic and histological features consistent with patient tissues. Drug sensitivity testing revealed significant heterogeneity among PC 3DP models, mirroring clinical variability, and potential correlations with clinical outcomes. CONCLUSION: The PC 3DP models demonstrated their utility as reliable preclinical tools, retaining key genomic and histological characteristics. Importantly, drug sensitivity profiles in these models showed potential correlations with clinical outcomes, indicating their promise in customizing treatment strategies and predicting patient prognoses. Further validation with larger patient cohorts is warranted to confirm their potential clinical utility.

Facile Surface Modification with Croconaine-Functionalized Polymer on Polypropylene for Antifouling and NIR-Light-Mediated Photothermal Sterilization.

Biomedical-device-associated infection (BAI) is undoubtedly a major concern and a serious challenge in modern medicine. Therefore, the development of biomedical materials that are capable of resisting or killing bacteria is of great importance. In this work, a croconaine-functionalized polymer with antifouling and near-infrared (NIR) photothermal bactericidal properties was prepared and facilely modified on polypropylene (PP) to combat medical device infections. Croconaine dye is elaborately modified as a "living" initiator, termed CR-4EBiB, for preparing amphiphilic block polymers by atom transfer radical polymerization (ATRP). In the formed polymer coating, the hydrophobic block can strongly adhere to the surface of the PP substrate, whereas the hydrophilic block is located on the outer layer by solvent-induced resistance to bacterial adhesion. Under the irradiation of an NIR laser (808 nm), the croconaine dye in the coating achieved maximum conversion of light to heat to effectively kill E. coli, S. aureus, and methicillin-resistant Staphylococcus aureus (MRSA). This work provides a facile and promising strategy for the development of implantable antibacterial biomedical materials.

Role of extracellular vesicle-associated proteins in the progression, diagnosis, and treatment of hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) is the most common type of primary liver cancer, characterized by difficulties in early diagnosis, prone to distant metastasis, and high recurrence rates following surgery. Extracellular vesicles (EVs) are a class of cell-derived particles, including exosomes, characterized by a phospholipid bilayer. They serve as effective carriers for intercellular communication cargo, including proteins and nucleic acids, and are widely involved in tumor progression. They are being explored as potential tumor biomarkers and novel therapeutic avenues. We provide a brief overview of the biogenesis and characteristics of EVs to better understand their classification standards. The focus of this review is on the research progress of EV-associated proteins in the field of HCC. EV-associated proteins are involved in tumor growth and regulation in HCC, participate in intercellular communication within the tumor microenvironment (TME), and are implicated in events including angiogenesis and epithelial-mesenchymal transition (EMT) during tumor metastasis. In addition, EV-associated proteins show promising diagnostic efficacy for HCC. For the treatment of HCC, they also demonstrate significant potential including enhancing the efficacy of tumor vaccines, and as targeting cargo anchors. Facing current challenges, we propose the future directions of research in this field. Above all, research on EV-associated proteins offers the potential to enhance our comprehension of HCC and offer novel insights for developing new treatment strategies.

The comparison effect on earthworms between conventional and biodegradable microplastics.

Many studies have reported the toxic effects of microplastics (MPs) on organisms, especially on how conventional plastics affect organisms after short-term exposure. The effects of biodegradable plastics on organisms are, however, largely unexplored, especially concerning their impact after long-term exposure. We perform a series of experiments to examine the effects of conventional (polyethylene (PE)) and biodegradable (polylactic acid (PLA)) microplastics on earthworms at three concentrations (0.5 %, 2 %, and 5 % (w/w)) and particle sizes (149, 28, and 13 µm) over short- (14 d) and long-term (28 d) periods of exposure. Negative effects on earthworms are more pronounced following exposure to PE than PLA, particularly over the shorter term. After longer-term exposure, earthworms may adapt to PE and PLA environments. A close relationship exists between the effects of MPs on earthworms and activities of superoxide dismutase, catalase, and malondialdehyde enzymes, which we use to evaluate the degree of antioxidant damage. We report both PE and PLA to negatively affect earthworms, but for the effects of PLA to be less severe after longer-term exposure. Further investigation is required to more fully assess the potential negative effects of PLA use on soil organisms in agriculture.

Vina-GPU 2.1: Towards Further Optimizing Docking Speed and Precision of AutoDock Vina and Its Derivatives.

AutoDock Vina and its derivatives have established themselves as a prevailing pipeline for virtual screening in contemporary drug discovery. Our Vina-GPU method leverages the parallel computing power of GPUs to accelerate AutoDock Vina, and Vina-GPU 2.0 further enhances the speed of AutoDock Vina and its derivatives. Given the prevalence of large virtual screens in modern drug discovery, the improvement of speed and accuracy in virtual screening has become a longstanding challenge. In this study, we propose Vina-GPU 2.1, aimed at enhancing the docking speed and precision of AutoDock Vina and its derivatives through the integration of novel algorithms to facilitate improved docking and virtual screening outcomes. Building upon the foundations laid by Vina-GPU 2.0, we introduce a novel algorithm, namely Reduced Iteration and Low Complexity BFGS (RILC-BFGS), designed to expedite the most time-consuming operation. Additionally, we implement grid cache optimization to further enhance the docking speed. Furthermore, we employ optimal strategies to individually optimize the structures of ligands, receptors, and binding pockets, thereby enhancing the docking precision. To assess the performance of Vina-GPU 2.1, we conduct extensive virtual screening experiments on three prominent targets, utilizing two fundamental compound libraries and seven docking tools. Our results demonstrate that Vina-GPU 2.1 achieves an average 4.97-fold acceleration in docking speed and an average 342% improvement in EF1% compared to Vina-GPU 2.0. The source code and tools for Vina-GPU 2.1 are freely available accompanied by comprehensive instructions and illustrative examples.

Immunosuppression and phenotypic plasticity in an atlas of human hepatocholangiocarcinoma.

Background: Hepatocholangiocarcinoma (H-ChC) has the clinicopathological features of both hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (iCCA) and is a more aggressive subtype of primary hepatic carcinoma than HCC or iCCA. Methods: We sequenced 91,112 single-cell transcriptomes from 16 human samples to elucidate the molecular mechanisms underlying the coexistence of HCC and iCCA components in H-ChC. Results: We observed two molecular subtypes of H-ChC at the whole-transcriptome level (CHP and CIP), where a metabolically active tumour cell subpopulation enriched in CHP was characterized by a cellular pre-differentiation property. To define the heterogeneity of tumours and their associated microenvironments, we observe greater tumour diversity in H-ChC than HCC and iCCA. H-ChC exhibits weaker immune cell infiltration and greater CD8+ exhausted T cell (Tex) dysfunction than HCC and iCCA. Then we defined two broad cell states of 6,852 CD8+ Tex cells: GZMK+ CD8+ Tex cells and terminal CD8+ Tex cells. GZMK+ CD8+ Tex cells exhibited higher infiltration of after treatment in H-ChC, the effector scores and expression of the immune checkpoints of them greatly increased after immunotherapy, which indicated that H-ChC might be more sensitive than HCC or iCCA to immunotherapy. Conclusions: In this paper, H-ChC was explored, hoping to contribute to the study of mixed tumours in other cancers.

Monocular Depth Estimation via Self-Supervised Self-Distillation.

Self-supervised monocular depth estimation can exhibit excellent performance in static environments due to the multi-view consistency assumption during the training process. However, it is hard to maintain depth consistency in dynamic scenes when considering the occlusion problem caused by moving objects. For this reason, we propose a method of self-supervised self-distillation for monocular depth estimation (SS-MDE) in dynamic scenes, where a deep network with a multi-scale decoder and a lightweight pose network are designed to predict depth in a self-supervised manner via the disparity, motion information, and the association between two adjacent frames in the image sequence. Meanwhile, in order to improve the depth estimation accuracy of static areas, the pseudo-depth images generated by the LeReS network are used to provide the pseudo-supervision information, enhancing the effect of depth refinement in static areas. Furthermore, a forgetting factor is leveraged to alleviate the dependency on the pseudo-supervision. In addition, a teacher model is introduced to generate depth prior information, and a multi-view mask filter module is designed to implement feature extraction and noise filtering. This can enable the student model to better learn the deep structure of dynamic scenes, enhancing the generalization and robustness of the entire model in a self-distillation manner. Finally, on four public data datasets, the performance of the proposed SS-MDE method outperformed several state-of-the-art monocular depth estimation techniques, achieving an accuracy (δ1) of 89% while minimizing the error (AbsRel) by 0.102 in NYU-Depth V2 and achieving an accuracy (δ1) of 87% while minimizing the error (AbsRel) by 0.111 in KITTI.

Management and treatment of severe immune-related hepatotoxicity based on clinical and pathological characteristics.

BACKGROUND: The management of severe immune-related hepatotoxicity (irH) needs to be further optimized. This study aims to analyze the clinical characteristics of severe irH; improve the therapeutic strategy, especially salvage treatment in steroid-refractory irH; and determine the safety of immune checkpoint inhibitor (ICPi)-rechallenge. METHODS: This multicenter retrospective study included patients who developed severe irH and those without irH after immunotherapy between May 2019 and June 2023. Propensity score matching was used to match these two cohorts with similar baseline characteristics. RESULTS: Among 5,326 patients receiving ICPis, 51 patients developed severe irH. irH occurred after a median duration of 36 days and a median of two doses after the first ICPi administration. Patients receiving PD-L1 inhibitors faced a lower risk of developing severe irH. A higher dose of glucocorticoids (GCS) was administered to grade 4 irH than grade 3 irH. For steroid-sensitive patients, grade 4 irH individuals received a higher dosage of GCS than those with grade 3 irH, with no difference in time to resolution. Meanwhile, a significantly higher dose of GCS plus immunosuppression was needed in the steroid-refractory group. Liver biopsy of the steroid-refractory patients exhibited heterogeneous histological features. Twelve patients were retreated with ICPi. No irH reoccurred after a median follow-up of 9.3 months. CONCLUSION: irH requires multidimensional evaluation. PD-L1 inhibitors correlated with a lower risk of severe irH. Grade 4 irH demands a higher dose of GCS than recommended. Pathology may guide the salvage treatment for steroid-refractory irH. ICPi rechallenge in severe irH is feasible and safe.

The Influence of Visceral Adiposity on Overall Survival: Exploring "Obesity Paradox" Among Hepatocellular Carcinoma Patients Who Receiving Immunotherapy.

Purpose: The impact of visceral adiposity on overall survival (OS) in hepatocellular carcinoma (HCC) receiving immunotherapy was unclear. We aimed to determine how visceral adiposity affected OS and explore the interrelationships between visceral adiposity, body mass index (BMI), and other body compositions. Patients and Methods: Data from three centers were retrospectively analyzed. Skeletal muscle index (SMI), skeletal muscle density (SMD), visceral adipose tissue index (VATI), and subcutaneous adipose tissue index (SATI) were used to define each body composition. The BMI subgroups included the underweight, the normal weight, and the obesity. The Log rank test compared survival curves calculated by the Kaplan-Meier method. The relationships between body compositions and BMI with OS were examined using Cox proportional risk regression models. Results: A total of 305 patients who met the criteria were included. Patients with low VATI had significantly worse OS (P = 0.001). The protections of VATI (P = 0.011) on OS were independent of covariates. However, after additional adjustment of SMI, the effect of VATI on OS disappeared (P = 0.146), but the effect of SMD on OS did not (P = 0.021). BMI has a significant U-shaped relationship with OS, and the effect of BMI on OS equally disappeared after additional adjustment by SMI. Conclusion: This study first demonstrated that high VATI and mid-level BMI were protective for the survival of patients with HCC receiving immunotherapy. Skeletal muscle status (including SMI and SMD) may be the better predictor for outcomes of patients with HCC receiving immunotherapy.

Acoustic-holography-patterned primary hepatocytes possess liver functions.

Acoustic holography (AH), a promising approach for cell patterning, emerges as a powerful tool for constructing novel invitro 3D models that mimic organs and cancers features. However, understanding changes in cell function post-AH remains limited. Furthermore, replicating complex physiological and pathological processes solely with cell lines proves challenging. Here, we employed acoustical holographic lattice to assemble primary hepatocytes directly isolated from mice into a cell cluster matrix to construct a liver-shaped tissue sample. For the first time, we evaluated the liver functions of AH-patterned primary hepatocytes. The patterned model exhibited large numbers of self-assembled spheroids and superior multifarious core hepatocyte functions compared to cells in 2D and traditional 3D culture models. AH offers a robust protocol for long-term in vitro culture of primary cells, underscoring its potential for future applications in disease pathogenesis research, drug testing, and organ replacement therapy.

Liver fibrosis as a predictor of liver failure and outcome following ALPPS among patients with primary liver cancer.

The influence of liver fibrosis on the rate of liver regeneration and complications following ALPPS has yet to be fully understood. This study aimed to scrutinize the effects of liver fibrosis on the postoperative complications, and prognosis subsequent to ALPPS. Clinical data were collected from patients with primary liver cancer who underwent ALPPS at Peking Union Medical College Hospital between May 2014 and October 2022. The degree of liver fibrosis was assessed using haematoxylin-eosin staining and Sirius red staining. This study encompassed thirty patients who underwent ALPPS for primary liver cancer, and there were 23 patients with hepatocellular carcinoma, 5 with cholangiocarcinoma, and 2 with combined hepatocellular-cholangiocarcinoma. The impact of severe liver fibrosis on the rate of liver regeneration was not statistically significant (P = 0.892). All patients with severe complications belonged to the severe liver fibrosis group. Severe liver fibrosis exhibited a significant association with 90 days mortality (P = 0.014) and overall survival (P = 0.012). Severe liver fibrosis emerges as a crucial risk factor for liver failure and perioperative mortality following the second step of ALPPS. Preoperative liver function impairment is an important predictive factor for postoperative liver failure.

POSTN+ cancer-associated fibroblasts determine the efficacy of immunotherapy in hepatocellular carcinoma.

OBJECTIVE: Hepatocellular carcinoma (HCC) poses a significant clinical challenge because the long-term benefits of immune checkpoint blockade therapy are limited. A comprehensive understanding of the mechanisms underlying immunotherapy resistance in HCC is imperative for improving patient prognosis. DESIGN: In this study, to systematically investigate the characteristics of cancer-associated fibroblast (CAF) subsets and the dynamic communication among the tumor microenvironment (TME) components regulated by CAF subsets, we generated an HCC atlas by compiling single-cell RNA sequencing (scRNA-seq) datasets on 220 samples from six datasets. We combined spatial transcriptomics with scRNA-seq and multiplexed immunofluorescence to identify the specific CAF subsets in the TME that determine the efficacy of immunotherapy in HCC patients. RESULTS: Our findings highlight the pivotal role of POSTN+ CAFs as potent immune response barriers at specific tumor locations, as they hinder effective T-cell infiltration and decrease the efficacy of immunotherapy. Additionally, we elucidated the interplay between POSTN+ CAFs and SPP1+ macrophages, whereby the former recruits the latter and triggers increased SPP1 expression via the IL-6/STAT3 signaling pathway. Moreover, we demonstrated a spatial correlation between POSTN+ CAFs and SPP1+ macrophages, revealing an immunosuppressive microenvironment that limits the immunotherapy response. Notably, we found that patients with elevated expression levels of both POSTN+ CAFs and SPP1+ macrophages achieved less therapeutic benefit in an immunotherapy cohort. CONCLUSION: Our research elucidates light on the role of a particular subset of CAFs in immunotherapy resistance, emphasizing the potential benefits of targeting specific CAF subpopulations to improve clinical responses to immunotherapy.

Toxicological analysis of Eisenia fetida in soil under the coexistence of rockwool substrate andtricyclazole.

This study investigated the combined effects of rockwool, a novel seedling substrate, and tricyclazole (TCA) on the bioavailability of TCA to Eisenia fetida. The single addition of rockwool and TCA alone to the soil inhibited the growth of E. fetida. A high concentration (300 mg·L-1) of TCA significantly decreased the biomass of E. fetida. The addition of 20-mesh rockwool reduced this effect on earthworm biomass by decreasing the soil TCA through adsorption, effectively mitigating TCA bioaccumulation in earthworms. A mechanistic analysis showed that the Mg-O functional group on the rockwool surface combined with the CC functional group in TCA to generate Mg-O-C, and the adsorption process was dominated by chemisorption. Toxicology experiments demonstrated that malondialdehyde and cellulase could be used as biomarkers of inhibitory effects of combined rockwool and TCA in soil on E. fetida. Macrogenomic analyses revealed that small particle sizes and high concentrations of rockwool caused co-stress effects on earthworms when TCA was present. When the particle size of rockwool increased, the toxic effect of TCA on earthworms instead decreased at higher rockwool concentrations. Therefore, in practical agricultural production, the particle size of rockwool can be controlled to realize the adsorption of TCA and reduce the toxic effects of TCA and rockwool on earthworms.