Feasibility study on the introduction of Micro-CT technology for the identification of Radix Bupleuri and its adulterants.

Background: Radix Bupleuri, a kind of Chinese herbal medicine with great clinical use, is often confused with its adulterants, and it is difficult to identify it without certain knowledge. The existing identification methods have their own drawbacks, so a new method is needed to realize the identification of Radix Bupleuri and its adulterants. Methods: We used Micro Computed Tomography (Micro-CT) to perform tomography scans on Radix Bupleuri and its adulterants, performed data screening and data correction on the obtained DICOM images, and then applied 3D reconstruction, data augmentation, and ResNext deep learning model for the classification study. Results: The DICOM images after data screening, data correction, and 3D reconstruction can observe the differences in the microstructure of Radix Bupleuri and its adulterants, thus enabling effective classification and analysis. Meanwhile, the accuracy of classification using the ResNext model reached 75%. Conclusion: The results of this study showed that Micro-CT technology is feasible for the authentication of Radix Bupleuri. The pre-processed and 3D reconstructed tomographic images clearly show the microstructure and the difference between Radix Bupleuri and its adulterants without damaging the internal structure of the samples. This study concludes that Micro-CT technology provides important technical support for the reliable identification of Radix Bupleuri and its adulterants, which is expected to play an important role in the quality control and clinical application of herbs.

Cellular senescence of renal tubular epithelial cells in acute kidney injury.

Cellular senescence represents an irreversible state of cell-cycle arrest during which cells secrete senescence-associated secretory phenotypes, including inflammatory factors and chemokines. Additionally, these cells exhibit an apoptotic resistance phenotype. Cellular senescence serves a pivotal role not only in embryonic development, tissue regeneration, and tumor suppression but also in the pathogenesis of age-related degenerative diseases, malignancies, metabolic diseases, and kidney diseases. The senescence of renal tubular epithelial cells (RTEC) constitutes a critical cellular event in the progression of acute kidney injury (AKI). RTEC senescence inhibits renal regeneration and repair processes and, concurrently, promotes the transition of AKI to chronic kidney disease via the senescence-associated secretory phenotype. The mechanisms underlying cellular senescence are multifaceted and include telomere shortening or damage, DNA damage, mitochondrial autophagy deficiency, cellular metabolic disorders, endoplasmic reticulum stress, and epigenetic regulation. Strategies aimed at inhibiting RTEC senescence, targeting the clearance of senescent RTEC, or promoting the apoptosis of senescent RTEC hold promise for enhancing the renal prognosis of AKI. This review primarily focuses on the characteristics and mechanisms of RTEC senescence, and the impact of intervening RTEC senescence on the prognosis of AKI, aiming to provide a foundation for understanding the pathogenesis and providing potentially effective approaches for AKI treatment.

Machine learning algorithms for the prediction of adverse prognosis in patients undergoing peritoneal dialysis.

BACKGROUND: An appropriate prediction model for adverse prognosis before peritoneal dialysis (PD) is lacking. Thus, we retrospectively analysed patients who underwent PD to construct a predictive model for adverse prognoses using machine learning (ML). METHODS: A retrospective analysis was conducted on 873 patients who underwent PD from August 2007 to December 2020. A total of 824 patients who met the inclusion criteria were included in the analysis. Five commonly used ML algorithms were used for the initial model training. By using the area under the curve (AUC) and accuracy (ACC), we ranked the indicators with the highest impact and displayed them using the values of Shapley additive explanation (SHAP) version 0.41.0. The top 20 indicators were selected to build a compact model that is conducive to clinical application. All model-building steps were implemented in Python 3.8.3. RESULTS: At the end of follow-up, 353 patients withdrew from PD (converted to haemodialysis or died), and 471 patients continued receiving PD. In the complete model, the categorical boosting classifier (CatBoost) model exhibited the strongest performance (AUC = 0.80, 95% confidence interval [CI] = 0.76-0.83; ACC: 0.78, 95% CI = 0.72-0.83) and was selected for subsequent analysis. We reconstructed a compression model by extracting 20 key features ranked by the SHAP values, and the CatBoost model still showed the strongest performance (AUC = 0.79, ACC = 0.74). CONCLUSIONS: The CatBoost model, which was built using the intelligent analysis technology of ML, demonstrated the best predictive performance. Therefore, our developed prediction model has potential value in patient screening before PD and hierarchical management after PD.

Proteomics reveals defective peroxisomal fatty acid oxidation during the progression of acute kidney injury and repair.

Acute kidney injury (AKI) is characterized by a rapid decrease in renal function with high mortality and risk of progression to chronic kidney disease (CKD). Ischemia and reperfusion injury (IRI) is one of the major causes of AKI. However, the cellular and molecular responses of the kidney to IRI are complex and not fully understood. Herein, we conducted unbiased proteomics and bioinformatics analyses in an IRI mouse model on days 3, 7, and 21, and validated the results using IRI, unilateral ureteral obstruction (UUO), and biopsies from patients with AKI or CKD. The results indicated an obvious temporal expression profile of differentially expressed proteins and highlighted impaired lipid metabolism during the progression of AKI to CKD. Acyl-coenzyme A oxidase 1 (Acox1), the first rate-limiting enzyme of peroxisomal fatty acid beta-oxidation, was then selected, and its disturbed expression in the two murine models validated the proteomic findings. Accordingly, Acox1 expression was significantly downregulated in renal biopsies from patients with AKI or CKD, and its expression was negatively correlated with kidney injury score. Furthermore, in contrast to the decreased Acox1 expression, lipid droplet accumulation was remarkably increased in these renal tissues, suggesting dysregulation of fatty acid oxidation. In conclusion, our results suggest that defective peroxisomal fatty acid oxidation might be a common pathological feature in the transition from AKI to CKD, and that Acox1 is a promising intervention target for kidney injury and repair.

Incidence and risk factors of cognitive dysfunction in hemodialysis patients: A systematic review and meta-analysis.

BACKGROUND: The study aims to explore the incidence and risk factors of cognitive dysfunction in hemodialysis patients. METHODS: PubMed, Embase, Cochrane Library, and Web of Science databases were searched for clinical studies on the association between hemodialysis and cognitive dysfunction from the database's inception to 1 December 2022. Two researchers independently completed data extraction and risk of bias assessments for the included studies. All statistical analyses were performed using STATA15.0 software. RESULTS: Ten studies were included in this meta-analysis, with a total of 5535 hemodialysis patients, that is, 2033 patients with cognitive dysfunction and 3502 patients with normal cognitive function. The Newcastle-Ottawa Scale scores of the included studies were greater than 5. Meta-analysis results suggested that the incidence of cognitive dysfunction in hemodialysis patients was (effect size = 51%, 95% confidence interval [CI] [0.33, 0.69]), and hemodialysis patients with cognitive dysfunction were often older than those with normal cognition (standard mean difference [SMD] = 0.49, 95% CI [0.31, 0.68]). Female gender was a risk factor for cognitive dysfunction in hemodialysis patients (relative risk [RR] = 1.21, 95% CI [1.04, 1.41]); diabetes (RR = 1.33, 95% CI [1.04, 1.71]) and stroke (RR = 1.66, 95% CI [1.08, 2.55]) increased the incidence of cognitive dysfunction in hemodialysis patients. CONCLUSIONS: The most important risk factors for cognitive dysfunction associated with hemodialysis might be female gender, old age, diabetes, and stroke. Close attention should be paid to such patients for early prevention.

Pregnancy Zone Protein Serves as a Prognostic Marker and Favors Immune Infiltration in Lung Adenocarcinoma.

Lung adenocarcinoma (LUAD) is a public enemy with a very high incidence and mortality rate, for which there is no specific detectable biomarker. Pregnancy zone protein (PZP) is an immune-related protein; however, the functions of PZP in LUAD are unclear. In this study, a series of bioinformatics methods, combined with immunohistochemistry (IHC), four-color multiplex fluorescence immunohistochemistry (mIHC), quantitative real-time PCR (qRT-PCR) and enzyme-linked immunosorbent assay (ELISA), were utilized to explore the prognostic value and potential role of PZP in LUAD. Our data revealed that PZP expression was markedly reduced in LUAD tissues, tightly correlated with clinical stage and could be an independent unfavorable prognostic factor. In addition, pathway analysis revealed that high expression of PZP in LUAD was mainly involved in immune-related molecules. Tumor immune infiltration analysis by CIBERSORT showed a significant correlation between PZP expression and several immune cell infiltrations, and IHC further confirmed a positive correlation with CD4+ T-cell infiltration and a negative correlation with CD68+ M0 macrophage infiltration. Furthermore, mIHC demonstrated that PZP expression gave rise to an increase in CD86+ M1 macrophages and a decrease in CD206+ M2 macrophages. Therefore, PZP can be used as a new biomarker for the prediction of prognosis and may be a promising immune-related molecular target for LUAD.

Machine Learning Explains Long-Term Trend and Health Risk of Air Pollution during 2015-2022 in a Coastal City in Eastern China.

Exposure to air pollution is one of the greatest environmental risks for human health. Air pollution level is significantly driven by anthropogenic emissions and meteorological conditions. To protect people from air pollutants, China has implemented clean air actions to reduce anthropogenic emissions, which has led to rapid improvement in air quality over China. Here, we evaluated the impact of anthropogenic emissions and meteorological conditions on trends in air pollutants in a coastal city (Lianyungang) in eastern China from 2015 to 2022 based on a random forest model. The annual mean concentration of observed air pollutants, including fine particles, inhalable particles, sulfur dioxide, nitrogen dioxide, and carbon monoxide, presented significant decreasing trends during 2015-2022, with dominant contributions (55-75%) by anthropogenic emission reduction. An increasing trend in ozone was observed with an important contribution (28%) by anthropogenic emissions. The impact of meteorological conditions on air pollution showed significant seasonality. For instance, the negative impact on aerosol pollution occurred during cold months, while the positive impact was in warm months. Health-risk-based air quality decreased by approximately 40% in 8 years, for which anthropogenic emission made a major contribution (93%).

ADAR1 is a prognostic biomarker and is correlated with immune infiltration in lung adenocarcinoma.

BACKGROUND: Lung adenocarcinoma (LUAD) is a common subtype of non-small cell lung cancer with high morbidity and mortality rates and is usually detected at advanced stages because of the early onset of metastasis. Adenosine deaminase RNA-specific 1 (ADAR1) is an RNA editing enzyme that catalyzes the important physiological process of adenosine-to-inosine editing and has been shown to participate in the progression of LUAD. Increasing evidence has suggested that immune infiltration of the tumor immune microenvironment has prognostic value for most human solid organ malignancies; however, much is unknown about the functions of ADAR1. METHODS: The expression of ADAR1 was analyzed in The Cancer Genome Atlas -LUAD database and validated in our LUAD cohort. To assess the prognostic value of ADAR1, Kaplan-Meier survival analyses and Cox regression analyses were carried out in LUAD cohorts. The association between ADAR1 and LUAD immune infiltrates via analyses of cell-type identification by estimating relative subsets of known RNA transcripts. Furthermore, multiplex immunohistochemistry was used to confirm the relationship between ADAR1 expression and immune cells in the present cohort of patients with LUAD. RESULTS: ADAR1 was highly expressed in LUAD tissues and closely correlated with lymph node metastasis (LNM) (p < 0.01), advanced tumor stage (p < 0.05), and poor patient prognosis (p < 0.01), thus indicating that increased ADAR1 contributed to the progression of LUAD. LUAD with high ADAR1 expression can metastasize to lymph nodes that express more ADAR1 than the primary lesion. In addition, M0 macrophages and M2 macrophages increased and CD4+ T cells decreased in LUAD tissues with high ADAR1 expression. And the expression of ADAR1 in lymph node metastases was negatively correlated with the contents of CD4+ T cells (p = 0.0017) and M1 macrophages (p = 0.0037). CONCLUSION: The findings of our study suggested that ADAR1 may be useful in predicting prognosis and LNM in LUAD, and may serve as a promising immune-related molecular target for LUAD patients.

Relationship between Dialysate Bicarbonate Concentration and All-Cause Mortality in Hemodialysis Patients.

INTRODUCTION: The optimal dialysate bicarbonate concentration (DBIC) for hemodialysis (HD) remains controversial. Herein, we analyzed the effect of dialysate bicarbonate levels on mortality in HD patients. METHODS: Patients undergoing maintenance HD were recruited from the HD unit of the Daping Hospital. Patients were categorized into quartiles according to their DBIC level (quartile 1: <31.25 mmol/L, n = 77; quartile 2: 31.25-32.31 mmol/L, n = 76; quartile 3: 32.31-33.6 mmol/L; n = 81; quartile 4: ≥33.6 mmol/L, n = 79). Demographic and clinical data were collected. Survival curves were estimated using the Kaplan-Meier method. A Cox proportional hazards regression model was used to estimate the association between DBIC and all-cause mortality. RESULTS: We included 313 patients undergoing maintenance HD with a mean DBIC of 32.16 ± 1.59 mmol/L (range, 27.20-34.72 mmol/L). The patients in quartile 4 were more likely to have higher pre- and post-HD serum bicarbonate concentrations than those in other quartiles. The mortality rate was lowest in quartile 2 (10.53%). The survival time was significantly lower in the quartile 4 group than in the other quartiles (p = 0. 008, log-rank test). After full adjustment, the hazard ratio (per 3 mmol/L higher DBIC) for all-cause mortality was 4.29 (95% confidence interval, 2.11-8.47) in all patients, whereas no significant association was observed between DBIC and initial hospitalization. CONCLUSIONS: Our data indicate that DBIC is positively associated with all-cause mortality. A DBIC concentration of 31-32 mmol/L may benefit patient outcomes. This study provides an evidence-based medical basis for optimal dialysis prescription in the future.

Genomic Characteristics and the Potential Clinical Implications in Oligometastatic Non-Small Cell Lung Cancer.

PURPOSE: Oligometastatic non-small cell lung cancer (NSCLC) patients have been increasingly regarded as a distinct group that could benefit from local treatment to achieve a better clinical outcome. However, current definitions of oligometastasis are solely numerical, which are imprecise because of ignoring the biological heterogeneity caused by genomic characteristics. Our study aimed to profile the molecular alterations of oligometastatic NSCLC and elucidate its potential difference from polymetastasis. Materials and Methods: We performed next-generation sequencing to analyze tumors and paired peripheral blood from 77 oligometastatic and 21 polymetastatic NSCLC patients to reveal their genomic characteristics and assess the genetic heterogeneity. RESULTS: We found ERBB2, ALK, MLL4, PIK3CB, and TOP2A were mutated at a significantly lower frequency in oligometastasis compared with polymetastasis. EGFR and KEAP1 alterations were mutually exclusive in oligometastatic group. More importantly, oligometastasis has a unique significant enrichment of apoptosis signaling pathway. In contrast to polymetastasis, a highly enriched COSMIC signature 4 and a special mutational process, COSMIC signature 14, were observed in the oligometastatic cohort. According to OncoKB database, 74.03% of oligometastatic NSCLC patients harbored at least one actionable alteration. The median tumor mutation burden of oligometastasis was 5.00 mutations/Mb, which was significantly associated with smoking, DNA damage repair genes, TP53 mutation, SMARCA4 mutation, LRP1B mutation, ABL1 mutation. CONCLUSION: Our results shall help redefine oligometastasis beyond simple lesion enumeration that will ultimately improve the selection of patients with real oligometastatic state and optimize personalized cancer therapy for oligometastatic NSCLC.

Bone Marrow Mesenchymal Stem Cell-Derived Exosomes Alleviate Peritoneal Dialysis-Associated Peritoneal Injury.

Peritoneal fibrosis is a critical sequela that limits the application of peritoneal dialysis (PD). This study explored the role and mechanism of bone marrow mesenchymal stem cell-derived exosomes (BMSC-Exos) in preventing PD-associated peritoneal injury. C57BL/6 mice were randomized into three groups: a control (saline), peritoneal injury [2.5% glucose peritoneal dialysate + lipopolysaccharide (LPS)], and peritoneal injury + exosome group. After 6 weeks, mice were dissected, and the parietal peritoneum was collected. The level of peritoneal structural and functional damage was assessed. Additionally, transcriptome analysis of the peritoneum and miRNA sequencing on BMSC-Exos were performed. The parietal peritoneum had significantly thickened, and peritoneal function was impaired in the peritoneal injury group. Peritoneal structural and functional damage was significantly reduced after exosome treatment, while peritoneal inflammation, fibrosis, angiogenesis, and mesothelial damage significantly increased. Transcriptomic analysis showed that the BMSC-Exos affected the cell cycle process, cell differentiation, and inflammatory response regulation. Significant pathways in the exosome group were enriched by inflammation, immune response, and cell differentiation, which constitute a molecular network that regulates the peritoneal protective mechanism. Additionally, inflammatory factors (TNF-α, IL-1ß), fibrosis markers (α-SMA, collagen-III, fibronectin), profibrotic cytokines (TGF-ß1), and angiogenesis-related factor (VEGF) were downregulated at the mRNA and protein levels through BMSC-Exos treatment. BMSC-Exos treatment can prevent peritoneal injury by inhibiting peritoneal fibrosis, inflammation, and angiogenesis, showing a multitarget regulatory effect. Therefore, BMSC-Exos therapy might be a new therapeutic strategy for treating peritoneal injury.

BDNF is a prognostic biomarker involved in immune infiltration of lung adenocarcinoma and is associated with brain metastasis.

Non-small cell lung cancer (NSCLC) is one of the leading causes of death worldwide. Brain metastases are a common complication of a wide range of human malignancies, particularly lung adenocarcinoma (LUAD). Brain-derived neurotrophic factor (BDNF), a member of the neurotrophin family, has been linked to several human malignancies and has been shown to promote LUAD tumorigenesis. However, its function in the tumour immune microenvironment (TIME) remains largely unexplored, especially in complex brain tissue environments. In this study, BDNF was found to be particularly increased in patients with advanced tumour stage, lymphatic metastasis, and distant metastasis, indicating a correlation with LUAD progression. We characterized the prognostic value of BDNF and defined BDNF as an unfavourable prognostic indicator through a common driver gene-independent mechanism in LUAD. Furthermore, patients with increased BDNF levels in primary LUAD might have a higher risk of developing brain metastasis (BM), and central nervous system (CNS) metastasis showed an elevated expression of BDNF compared to their matched primary lesions. Additionally, we investigated the interaction between BDNF and infiltrating immune cells in both primary lesions and paired BM using multiplex immunostaining. The results showed that BDNF might drive an immunosuppressive tumour microenvironment (TME) by re-education of tumour-associated macrophages (TAMs) toward a pro-tumorigenic M2 phenotype, particularly in BM. Our findings demonstrate that BDNF serves as an independent potential prognostic marker and correlates with BM in LUAD. As it is closely related to TAM polarization, BDNF may be a promising immune-related biomarker and molecular target in patients with LUAD.

[Research Progress in Stress-Induced Senescence of Renal Tubular Cells in Diabetic Nephropathy]. / è‚¾å°ç®¡ä¸Šçš®ç»†èƒžåº”æ¿€æ€§è¡°è€åœ¨ç³–å°¿ç— è‚¾ç— ä¸­çš„ç ”ç©¶è¿›å±•.

Diabetic nephropathy (DN) is the leading cause of end-stage renal disease. Renal tubulointerstitial injury is an important pathophysiological basis that contributes to the progression of DN to end-stage renal disease. Stress-induced senescence of renal tubular epithelial cells (RTECs) forms a key link that causes tubulointerstitial injury. In recent years, it has been reported that organelles, such as endoplasmic reticulum, mitochondria, and lysosomes, in RTECs are damaged to varying degrees in DN, and that their functional imbalance may lead to stress-induced senescence of RTECs, thereby causing sustained cellular and tissue-organ damage, which in turn promotes the progression of the disease. However, the core mechanism underlying changes in the senescence microenvironment caused by stress-induced senescence of RTECs in DN is still not understood. In addition, the mechanism by which organelles lose homeostasis also needs to be further investigated. Herein, we described the specific pathophysiological mechanisms of renal tubular injury, stress-induced senescence of RTECs, and their association with organelles in the context of DN in order to provide reference for the next-step research, as well as the development of new therapeutic strategies.

VNN1 contributes to the acute kidney injury-chronic kidney disease transition by promoting cellular senescence via affecting RB1 expression.

The mechanisms underlying acute kidney injury (AKI) and chronic kidney disease (CKD) progression include interstitial inflammation, cellular senescence, and oxidative stress (OS). Although vanin-1 (VNN1) plays an important role in OS, its contribution to the AKI-CKD transition remains unknown. Here, we explored the roles and mechanisms of VNN1 in the progression of the AKI-CKD transition. We observed that VNN1 expression was upregulated after ischemia/reperfusion (I/R) injury and high VNN1 expression levels were associated with poor renal repair after I/R injury. In VNN1 knockout (KO) mice, recovery of serum creatinine and blood urea nitrogen levels after I/R injury was accelerated and renal fibrosis was inhibited after severe I/R injury. Furthermore, in VNN1 KO mice, senescence of renal tubular cells was inhibited after severe I/R injury, as assessed by P16 expression and SA-ß-Gal assays. However, our results also revealed that VNN1 KO renal tubular cells did not resist senescence when OS was blocked. To elucidate the mechanism underlying VNN1-mediated regulation of senescence during the AKI-CKD transition, retinoblastoma 1 (RB1) was identified as a potential target. Our results suggest that the reduced senescence in VNN1 KO renal tubular cells was caused by suppressed RB1 expression and phosphorylation. Collectively, our results unveil a novel molecular mechanism by which VNN1 promotes AKI-CKD transition via inducing senescence of renal tubular cells by activating RB1 expression and phosphorylation after severe renal injury. The present study proposes a new strategy for designing therapies wherein VNN1 can be targeted to obstruct the AKI-CKD transition.

Decoy receptor 2 mediates the apoptosis-resistant phenotype of senescent renal tubular cells and accelerates renal fibrosis in diabetic nephropathy.

Apoptotic resistance leads to persistent accumulation of senescent cells and sustained expression of a senescence-associated secretory phenotype, playing an essential role in the progression of tissue fibrosis. However, whether senescent renal tubular epithelial cells (RTECs) exhibit an apoptosis-resistant phenotype, and the role of this phenotype in diabetic nephropathy (DN) remain unclear. Our previous study was the first to demonstrate that decoy receptor 2 (DcR2) is associated with apoptotic resistance in senescent RTECs and renal fibrosis. In this study, we aimed to further explore the mechanism of DcR2 in apoptosis-resistant RTECs and renal fibrosis in DN. DcR2 was co-localized with fibrotic markers (α-SMA, collagen IV, fibronectin), senescent marker p16, and antiapoptotic proteins FLIP and Bcl2 but rarely co-localized with caspase 3 or TUNEL. DcR2 overexpression promoted renal fibrosis in mice with streptozotocin (STZ)-induced DN, as evidenced by augmented Masson staining and upregulated expression of fibrotic markers. DcR2 overexpression also enhanced FLIP expression while reducing the expression of pro-apoptotic proteins (caspases 8 and 3) in senescent RTECs, resulting in apoptotic resistance. In contrast, DcR2 knockdown produced the opposite effects in vitro and in vivo. Moreover, quantitative proteomics and co-immunoprecipitation experiments demonstrated that DcR2 interacted with glucose-related protein 78 kDa (GRP78), which has been shown to promote apoptotic resistance in cancer. GRP78 exhibited co-localization with senescent and antiapoptotic markers but was rarely co-expressed with caspase 3 or TUNEL. Additionally, GRP78 knockdown decreased the apoptosis resistance of HG-induced senescent RTECs with upregulated cleaved caspase 3 and increased the percentage of apoptotic RTECs. Mechanistically, DcR2 mediated apoptotic resistance in senescent RTECs by enhancing GRP78-caspase 7 interactions and promoting Akt phosphorylation. Thus, DcR2 mediated the apoptotic resistance of senescent RTECs and renal fibrosis by interacting with GRP78, indicating that targeting the DcR2-GRP78 axis represents a promising therapeutic strategy for DN.

Establishment of a novel mouse peritoneal dialysis-associated peritoneal injury model.

BACKGROUND: Peritoneal fibrosis induced by various factors during peritoneal dialysis (PD) can eventually lead to ultrafiltration failure and termination of PD treatment. The existing animal models are caused by a single stimulus, and cannot accurately simulate complex pathogenesis of peritoneal injury and fibrosis. We aim to develop an efficient and realistic mouse model of PD-associated peritoneal injury using daily intraperitoneal injection (I.P.) of human peritonitis PD effluent. METHODS: Eight-week-old male C57BL/6 mice were classified into six groups: saline control; 2.5% PD fluid; 2.5% PD fluid + lipopolysaccharide (LPS); 4.25% PD fluid; 4.25% PD fluid + LPS; and peritonitis effluent. Mice received daily I.P. for 6 weeks, and were sacrificed to determine peritoneal structural and functional damage, inflammation, and fibrosis. RESULTS: Mice in the peritonitis effluent group had low mortality. The submesothelial thickness in the peritonitis effluent group was significantly greater than that in the 2.5% PD fluid group. The peritonitis effluent group had increased expression of fibrosis markers (α-SMA, Collagen I, etc.), neutrophil granulocytes (MPO), and macrophages (CD68, F4/80) in the peritoneum based on immunohistochemical staining; and significantly higher expression of inflammation markers (IL-1ß, IL-6, etc.) and fibrosis markers (TGF-ß1, α-SMA, etc.) based on real-time qPCR. Modified peritoneal equilibration tests (PET) demonstrated that I.P. of peritonitis effluent reduced peritoneal ultrafiltration. CONCLUSION: Our novel animal model of PD-associated peritoneal injury faithfully simulates the clinical pathophysiological process. This animal model may be useful for study of the pathogenesis of PD-associated peritoneal injury and identification of novel treatments.

The potential prognostic values of the ADAMTS-like protein family: an integrative pan-cancer analysis.

BACKGROUND: A disintegrin-like and metalloproteinase domain with thrombospondin type 1 motifs (ADAMTS)-like proteins, including ADAMTSL1-6 and papilin, which are part of the mammalian ADAMTS superfamily, appear to be relevant to extracellular matrix function and the regulation of ADAMTS protease activity. Their roles in tumor initiation and progression and regulating the tumor microenvironment (TME) are now recognized. METHODS: In the present study, a comprehensive investigation of the pan-cancer effects of ADAMTSLs and their associations with patient survival, drug responses, and the TME was performed by integrating The Cancer Genome Atlas (TCGA) data and annotated data resources. RESULTS: The expression of ADAMTSL family members was found to be dysregulated in many cancer types. More importantly, their expression was frequently associated with patients' overall survival (OS), drug responses, and the TME. ADAMTSL1, ADAMTSL4, and ADAMTSL5 were primarily associated with aggressive phenotypes, while PAPLN was more frequently associated with a favorable prognosis. In a non-small cell lung cancer (NSCLC) cohort, Thrombospondin Type 1 Domain Containing 4 (THSD4) (ADAMTSL6) and Papilin (PAPLN) were associated with immune checkpoint inhibitor (ICI) sensitivity in samples from the Gene Expression Omnibus repository (GSE135222). Twenty and 30 proteins related to THSD4 and PAPLN, respectively, were identified through a proteomic analysis of 18 Chinese lung adenocarcinoma patients. CONCLUSIONS: Our findings extend understandings of the role of the ADAMTSL family in cancers and are a valuable resource on their clinical utility. This article provides insight into the clinical importance of next-generation sequencing technology to identify novel biomarkers for prognosis and investigate therapeutic strategy for clinical benefit.

Extracellular CIRP activates STING to exacerbate hemorrhagic shock.

Stimulator of IFN genes (STING) activates TANK-binding kinase 1 (TBK1) and IFN regulatory factor 3 (IRF3) to produce type I IFNs. Extracellular cold-inducible RNA-binding protein (eCIRP) is released from cells during hemorrhagic shock (HS). We hypothesized that eCIRP activates STING to induce inflammation and acute lung injury (ALI) after HS. WT and STING-/- mice underwent controlled hemorrhage by bleeding, followed by fluid resuscitation. Blood and lungs were collected at 4 hours after resuscitation. Serum ALT, AST, LDH, IL-6, and IFN-ß were significantly decreased in STING-/- mice compared with WT mice after HS. In STING-/- mice, the levels of pTBK1 and pIRF3, and expression of TNF-α, IL-6, and IL-1ß mRNAs and proteins in the lungs, were significantly decreased compared with WT HS mice. The 10-day mortality rate in STING-/- mice was significantly reduced. I.v. injection of recombinant mouse CIRP (rmCIRP) in STING-/- mice showed a significant decrease in pTBK1 and pIRF3 and in IFN-α and IFN-ß mRNAs and proteins in the lungs compared with rmCIRP-treated WT mice. Treatment of TLR4-/-, MyD88-/-, and TRIF-/- macrophages with rmCIRP significantly decreased pTBK1 and pIRF3 levels and IFN-α and IFN-ß mRNAs and proteins compared with WT macrophages. HS increases eCIRP levels, which activate STING through TLR4/MyD88/TRIF pathways to exacerbate inflammation.

Clinical outcomes of hospitalized COVID-19 patients with renal injury: a multi-hospital observational study from Wuhan.

Renal injury is common in patients with coronavirus disease 2019 (COVID-19). We aimed to determine the relationship of estimated glomerular filtration rate (eGFR) and acute kidney injury (AKI) with the characteristics, progression, and prognosis of COVID-19 in-patients. We retrospectively reviewed 1851 COVID-19 patients admitted to 3 hospitals in Wuhan, China. Clinical, laboratory, radiological, treatment, complication, and outcome data were analyzed. Patients were stratified according to levels of eGFR (≥ 90 vs. 60-89 vs. < 60 mL/min/1.73 m2). The risk of reaching the composite endpoint-intensive care unit admission, invasive ventilation, or death-was compared. On admission, 25.5% patients had renal impairment (eGFR < 90 mL/min/1.73 m2), but only 2.6% patients had chronic kidney disease (CKD). The overall in-hospital AKI incidence was 6.7%. Severe illness and comorbidities (hypertension, diabetes, CKD, and cardiovascular/cerebrovascular diseases) were more common among patients with low eGFR (< 90 mL/min/1.73 m2). Despite the more frequent use of intensive oxygen therapy, continuous blood purification, and glucocorticoid treatment, the prognosis of these patients was unsatisfactory, with the incidence of the composite endpoint (15.4% vs. 19.6% vs. 54.5%; P = 0.000) and complications (AKI, respiratory failure, cardiac injury, coagulation disorders, sepsis, etc.) increasing with decreasing eGFR. Kaplan-Meier survival analysis revealed that patients with eGFR < 90 mL/min/1.73 m2 or AKI had significantly escalated risks of reaching the composite endpoint. Multivariate regression analysis showed that renal insufficiency (eGFR < 60 mL/min/1.73 m2) on admission and in-hospital AKI independently predicted poor prognosis among COVID-19 in-patients. And renal impairment on admission was a greater predictor of poor prognosis in non-elderly patients than that in elderly patients. Early and continuous renal-function monitoring and early AKI diagnosis are necessary to predict and prevent the progression of COVID-19.

Inhibition of Efferocytosis by Extracellular CIRP-Induced Neutrophil Extracellular Traps.

Phagocytic clearance of apoptotic cells by the macrophages (efferocytosis) is impaired in sepsis, but its mechanism is poorly understood. Extracellular cold-inducible RNA-binding protein (eCIRP) is a novel damage-associated molecular pattern that fuels inflammation. We identify that eCIRP-induced neutrophil extracellular traps (NETs) impair efferocytosis through a novel mechanism. Coculture of macrophages and apoptotic thymocytes in the presence of recombinant murine CIRP (rmCIRP)-induced NETs significantly inhibited efferocytosis. Efferocytosis was significantly inhibited in the presence of rmCIRP-treated wild-type (WT), but not PAD4-/- neutrophils. Efferocytosis in the peritoneal cavity of rmCIRP-injected PAD4-/- mice was higher than WT mice. Milk fat globule-EGF-factor VIII (MFG-E8), an opsonin, increased macrophage efferocytosis, whereas the inhibition of efferocytosis by NETs was not rescued upon addition of MFG-E8, indicating disruption of MFG-E8's receptor(s) αvß3 or αvß5 integrin by the NETs. We identified neutrophil elastase in the NETs significantly inhibited efferocytosis by cleaving macrophage surface integrins αvß3 and αvß5 Using a preclinical model of sepsis, we found that CIRP-/- mice exhibited significantly increased rate of efferocytosis in the peritoneal cavity compared with WT mice. We discovered a novel role of eCIRP-induced NETs to inhibit efferocytosis by the neutrophil elastase-dependent decrease of αvß3/αvß5 integrins in macrophages. Targeting eCIRP ameliorates sepsis by enhancing efferocytosis.