The Relationship Between Acute Kidney Injury in Sepsis Patients and Coagulation Dysfunction and Prognosis.

Purpose: The aim of this study was to investigate the relationship between ARF and coagulopathy in patients with sepsis and to explore the prognostic value of these conditions. Patients and Methods: The data of 271 patients with sepsis-associated coagulopathy admitted from June 2021 to June 2022 were reviewed. The patients were divided into a survival group and a nonsurviving group according to patient prognosis. Independent sample t tests were utilized to compare laboratory parameters within 24 hours of admission, as well as the APACHE II and SOFA scores, between the two patient groups. According to the sepsis-associated coagulation dysfunction (SAC) grading criteria for grading, Spearman correlation analysis was used to study the relationship between blood creatinine and SAC grading and assignment scores, and receiver operating characteristic (ROC) curves and Cox's proportional risk regression model were used to explore the factors affecting the prognosis of SAC patients. Results: Spearman correlation analysis revealed strong associations between serum creatinine (Scr) concentration, SAC classification, and SAC score, with coefficients above 0.7. SAC classification outcomes varied significantly with severity: mild severity had a 77.6% survival rate versus 22.4% mortality; moderate severity had 21.5% survival versus 78.5% mortality; and severe cases had a 0.7% survival rate versus 99.3% mortality (P<0.01 for all). Multivariate analysis revealed significant predictors of outcome, including multiple organ dysfunction syndrome (MODS), with an OR of 2.070 (P=0.019); the SOFA score (OR=1.200, P<0.01); the international normalized ratio (INR) (OR=0.72, P=0.013); and the Scr level (OR=0.995, P<0.01). The areas under the ROC curves for the SOFA score, APACHE II score, and SAC classification were >0.8, all P < 0.05. Conclusion: In patients with sepsis, SAC grade 3 or a SAC score of 4 or higher is associated with poorer prognosis, and the interaction of acute kidney injury exacerbates the degree of SAC, consequently affecting prognosis.

To investigate the relationship between acute renal dysfunction and coagulation dysfunction in patients with sepsis and to explore the prognostic value of these conditions. We collected information and laboratory indicators from 271 patients, classified these two groups of patients according to the grading criteria for sepsis-associated coagulation dysfunction (SAC), and compared the differences between them. We utilized Spearman correlation analysis to investigate the relationship between blood creatinine and the severity of sepsis-associated coagulation dysfunction (SAC). Additionally, we employed a Cox proportional hazards regression model to study the factors influencing the prognosis of SAC patients. This study revealed a significant positive correlation between blood creatinine levels and SAC grade. Furthermore, the presence of MODS, INR, blood creatinine, and SOFA score can serve as independent predictive factors for mortality. We can infer that there is a significant correlation between coagulation function parameters and blood creatinine levels, which play a crucial role in the diagnosis and prognostic analysis of sepsis. In patients with sepsis, a higher grade of SAC or an SAC score of 4 or higher indicates a poorer prognosis. Additionally, the interaction with acute kidney injury exacerbates the severity of SAC, thereby impacting patient prognosis.

RIP3 orchestrates oxidative stress and pyroptosis in doxorubicin-induced cardiotoxicity through regulation of AKT/Nrf2 signaling cascade.

This study was designed to explore the role of RIP3 in DOX-induced cardiotoxicity and its underlying molecular mechanisms. Our results demonstrate that RIP3 exacerbates DOX-induced cardiotoxicity through promoting oxidative stress and pyroptosis by regulating the AKT/Nuclear factor erythroid 2-related factor 2 (Nrf2) signal pathway. Inhibition of RIP3 using GSK-872 attenuated DOX-induced cardiac remodeling and contractile dysfunction. Moreover, using GSK-872 in vivo, the results revealed that inhibition of RIP3 alleviated DOX-induced cardiotoxicity by the resulting inhibition of oxidative stress and pyroptosis. In addition, inhibition of RIP3 increased the protein levels of AKT and Nrf2 in DOX-treated mouse hearts. Furthermore, the AKT inhibitor LY294002 lessened RIP3 reduction-offered protection against DOX-induced H9c2 cell injury by moderating oxidative stress and pyroptosis. Taken together, these data demonstrate that RIP3 activation orchestrates DOX-induced cardiotoxicity through elevated oxidative stress and pyroptosis in an AKT/Nrf2-dependent manner. Those findings highlight the clinical relevance and therapeutic potential of targeting RIP3 for the treatment of DOX-induced cardiotoxicity.

Enhanced therapeutic impact of Shikonin-encapsulated exosomes in the inhibition of colorectal cancer progression.

Colorectal cancer (CRC) is a prevalent malignancy with high mortality rates and poor prognosis. Shikonin (SHK) has demonstrated extensive anti-tumor activity across various cancers, yet its clinical application is hindered by poor solubility, limited bioavailability, and high toxicity. This study aims to develop SHK-loaded exosomes (SHK-Exos) and assess their efficacy in CRC progression. Exosomes were isolated using ultracentrifugation and characterized via TEM, NTA, and western blotting. Their cellular internalization was confirmed through confocal microscopy post PKH67 labeling. Effects on cell behaviors were assessed using CCK-8 and Transwell assays. Cell cycle and apoptosis were analyzed via flow cytometry. A xenograft tumor model evaluatedin vivotherapeutic potential, and tumor tissues were examined using H&E staining andin vivoimaging. SHK-Exos demonstrated effective cell targeting and internalization in CRC cells.In vitro, SHK-Exos surpassed free SHK in inhibiting aggressive cellular behaviors and promoting apoptosis, whilein vivostudies showed substantial efficacy in reducing tumor growth with excellent tumor targeting and minimal toxicity. Employing SHK-Exos effectively impedes CRC progressionin vitroandin vivo, offering significant therapeutic potential. This research underscores the advantages of using autologous exosomes as a drug carrier, enhancing efficacy and reducing toxicity.

Innovating cancer drug discovery with refined phenotypic screens.

Before molecular pathways in cancer were known to a depth that could predict targets, drug development relied on phenotypic screening, where the effectiveness of candidate chemicals is judged from functional readouts without considering the mechanisms of action. The unraveling of tumor-specific pathways has brought targets for molecularly driven drug discovery, but precedents in the field have shown that awareness of pathways does not necessarily predict therapeutic efficacy, and many cancers still lack druggable targets. Phenotypic screening therefore retains a niche in drug development where a targeted approach is not informative. We analyze the unique advantages of phenotypic screens, and how technological advances have improved their discovery power. Notable advances include the use of larger biological panels and refined protocols that address the disease-relevance and increase data content with imaging and omic approaches.

Identification, molecular evolution, codon bias, and expansion analysis of NLP transcription factor family in foxtail millet (Setaria italica L.) and closely related crops.

The NODULE-INCEPTION-like protein (NLP) family is a plant-specific transcription factor (TF) family involved in nitrate transport and assimilation in plants, which are essential for improving plant nitrogen use efficiency. Currently, the molecular nature and evolutionary trajectory of NLP genes in the C4 model crop foxtail millet are unknown. Therefore, we performed a comprehensive analysis of NLP and molecular evolution in foxtail millet by scanning the genomes of foxtail millet and representative species of the plant kingdom. We identified seven NLP genes in the foxtail millet genome, all of which are individually and separately distributed on different chromosomes. They were not structurally identical to each other and were mainly expressed on root tissues. We unearthed two key genes (Si5G004100.1 and Si6G248300.1) with a variety of excellent characteristics. Regarding its molecular evolution, we found that NLP genes in Gramineae mainly underwent dispersed duplication, but maize NLP genes were mainly generated via WGD events. Other factors such as base mutations and natural selection have combined to promote the evolution of NLP genes. Intriguingly, the family in plants showed a gradual expansion during evolution with more duplications than losses, contrary to most gene families. In conclusion, this study advances the use of NLP genetic resources and the understanding of molecular evolution in cereals.

Online continual decoding of streaming EEG signal with a balanced and informative memory buffer.

Electroencephalography (EEG) based Brain Computer Interface (BCI) systems play a significant role in facilitating how individuals with neurological impairments effectively interact with their environment. In real world applications of BCI system for clinical assistance and rehabilitation training, the EEG classifier often needs to learn on sequentially arriving subjects in an online manner. As patterns of EEG signals can be significantly different for different subjects, the EEG classifier can easily erase knowledge of learnt subjects after learning on later ones as it performs decoding in online streaming scenario, namely catastrophic forgetting. In this work, we tackle this problem with a memory-based approach, which considers the following conditions: (1) subjects arrive sequentially in an online manner, with no large scale dataset available for joint training beforehand, (2) data volume from the different subjects could be imbalanced, (3) decoding difficulty of the sequential streaming signal vary, (4) continual classification for a long time is required. This online sequential EEG decoding problem is more challenging than classic cross subject EEG decoding as there is no large-scale training data from the different subjects available beforehand. The proposed model keeps a small balanced memory buffer during sequential learning, with memory data dynamically selected based on joint consideration of data volume and informativeness. Furthermore, for the more general scenarios where subject identity is unknown to the EEG decoder, aka. subject agnostic scenario, we propose a kernel based subject shift detection method that identifies underlying subject changes on the fly in a computationally efficient manner. We develop challenging benchmarks of streaming EEG data from sequentially arriving subjects with both balanced and imbalanced data volumes, and performed extensive experiments with a detailed ablation study on the proposed model. The results show the effectiveness of our proposed approach, enabling the decoder to maintain performance on all previously seen subjects over a long period of sequential decoding. The model demonstrates the potential for real-world applications.

Laser hemorrhoidoplasty vs. rubber band ligation: a randomized trial comparing 2 mini-invasive treatment for grade II hemorrhoids.

PURPOSE: As a minimally invasive procedure, laser hemorrhoidoplasty (LHP) can not only relieve the symptoms of hemorrhoids, but also protect the anal cushion structure. This study aimed to investigate the clinical efficacy of LHP in the treatment of grade II hemorrhoids. METHODS: A total of 70 patients with grade II hemorrhoids were randomly assigned to receive LHP or Rubber Band Ligation (RBL) (n = 35 per group) in 2019 from a single center. The postoperative pain, bleeding, feeling of anal distension(local falling, swelling, foreign body sensation, stool) and postoperative recurrence rate were compared between the two groups. RESULTS: The postoperative pain, bleeding, and feeling of anal distension in the LHP group were improved significantly as compared with the RBL group within 2 weeks after surgery (P < 0.01). Both methods can relieve the symptoms of grade II hemorrhoids. There was no difference in the recurrence rate between the two groups at 1 year after surgery (P > 0.05). The patients in LHP group took less time to return to normal activities (P < 0.001). CONCLUSIONS: As a minimally invasive treatment, LHP is easy and not traumatic and results in mild postoperative pain and few complications. It is an ideal choice for grade II hemorrhoids.

Deciphering recursive polyploidization in Lamiales and reconstructing their chromosome evolutionary trajectories.

Lamiales is an order of core eudicots with abundant diversity, and many Lamiales plants have important medicinal and ornamental values. Here, we comparatively reanalyzed 11 Lamiales species with well-assembled genome sequences and found evidence that Lamiales plants, in addition to a hexaploidization or whole-genome triplication (WGT) shared by core eudicots, experienced further polyploidization events, establishing new groups in the order. Notably, we identified a whole-genome duplication (WGD) occurred just before the split of Scrophulariaceae from the other Lamiales families, such as Acanthaceae, Bignoniaceae, and Lamiaceae, suggesting its likely being the causal reason for the establishment and fast divergence of these families. We also found that a WGT occurred ∼68 to 78 million years ago (Mya), near the split of Oleaceae from the other Lamiales families, implying that it may have caused their fast divergence and the establishment of the Oleaceae family. Then, by exploring and distinguishing intra- and intergenomic chromosomal homology due to recursive polyploidization and speciation, respectively, we inferred that the Lamiales ancestral cell karyotype had 11 proto-chromosomes. We reconstructed the evolutionary trajectories from these proto-chromosomes to form the extant chromosomes in each Lamiales plant under study. We must note that most of the inferred 11 proto-chromosomes, duplicated during a WGD thereafter, have been well preserved in jacaranda (Jacaranda mimosifolia) genome, showing the credibility of the present inference implementing a telomere-centric chromosome repatterning model. These efforts are important to understand genome repatterning after recursive polyploidization, especially shedding light on the origin of new plant groups and angiosperm cell karyotype evolution.

Protective role of forsythoside B in Kawasaki disease-induced cardiac injury: Inhibition of pyroptosis via the SIRT1-NF-κB-p65 signaling pathway.

Kawasaki disease (KD), an acute exanthematous febrile pediatric illness involving systemic non-specific inflammatory reactions in small- and medium-sized arteries, poses a significant risk of coronary artery and myocardial inflammatory injury. Developing new KD treatments with improved safety and fewer side-effects is highly desirable. Forsythoside B (FTS-B), extracted from the Forsythia suspensa plant, exerts anti-inflammatory activity by inhibiting NF-κB, which is regulated by SIRT1, the reduced expression of which is strongly associated with cardiovascular disease. However, it has yet to be established whether FTS-B influences KD-related inflammatory damage. In this study, we investigated the effects of FTS-B on inflammation in cellular and murine models of KD. Our findings revealed that KD is associated with cardiac dysfunction and inflammatory injury to myocardial and human coronary artery endothelial cells (HCAECs), resulting in a pyroptosis-feedback loop. Both cellular and KD models were characterized by reduced SIRT1 expression and increased NF-κB p65 expression. Contrastingly, the rates of pyroptosis in both murine model myocardial tissues and HCAECs were significantly alleviated in response to FTS-B treatment. Also in both models, we detected an increase of SIRT1 expression and a decrease in the expression of p65. Further examination of the protective mechanism of FTS-B using the SIRT1-specific inhibitor, EX 527, revealed that this inhibitor blocked the palliative effects of FTS-B on inflammatory injury-induced pyroptosis. These results highlight the potential utility of the SIRT1-NF-κB-p65 pathway as a therapeutic target for KD treatment and demonstrate that FTS-B can alleviate KD-induced cardiac and HCAEC inflammatory injury via inhibition of pyroptosis.

Ubiquitin ligase subunit FBXO9 inhibits V-ATPase assembly and impedes lung cancer metastasis.

BACKGROUND: The evolutionarily conserved protein FBXO9 acts as a substrate receptor for the SKP1-cullin-1-RBX1 ubiquitin ligase and is implicated in cancer, exhibiting either tumor-suppressive or oncogenic effects depending on the specific tumor type. However, their role in lung cancer metastasis remains unclear. METHODS: Lentiviral vectors carrying miRNA-based shRNA sequences for gene-specific knockdown were generated, and Lenti-CRISPR-Cas9 vectors containing gene-specific sgRNA sequences were designed. Gene overexpression was achieved using doxycycline-inducible lentiviral constructs, while gene knockdown or knockout cells were generated using shRNA and CRISPR-Cas9, respectively. Functional assays included migration, clonogenic survival assays, tumor sphere assays, and protein interaction studies using mass spectrometry, immunoprecipitation, and immunoblot analysis. RESULTS: This study identified FBXO9 as a crucial regulator that suppresses lung cancer cell migration, tumor sphere growth and restricts metastasis. We showed that FBXO9 facilitates the ubiquitination of the catalytic subunit A (ATP6V1A) of the Vacuolar-type H+-ATPase (V-ATPase), resulting in its interaction with the cytoplasmic chaperone HSPA8 and subsequent sequestration within the cytoplasm. This process hinders the assembly of functional V-ATPase, resulting in reduced vesicular acidification. In contrast, depletion of FBXO9 reduced ATP6V1A ubiquitination, resulting in increased V-ATPase assembly and vesicular acidification, thus promoting pro-metastatic Wnt signaling and metastasis of lung cancer cells. Furthermore, we demonstrated the effectiveness of inhibitors targeting V-ATPase in inhibiting lung cancer metastasis in a mouse model. Finally, we established a correlation between lower FBXO9 levels and poorer survival outcomes in patients with lung cancer. CONCLUSION: These findings collectively elucidate the critical role of FBXO9 in regulating V-ATPase assembly and provide a molecular basis for FBXO9's function in inhibiting lung cancer metastasis. This highlights the potential therapeutic opportunities of FBXO9 supplementation.

Acoustic emission features of granite from different rockburst areas in Sangzhuling Railway Tunnel.

In order to investigate the acoustic emission (AE) features of rocks in different (medium and strong) rockburst areas, the Sangzhuling Railway Tunnel granite in China was taken as an example, the mineral composition of rocks in different rockburst areas was analyzed by using XRD (X-ray diffraction) method. The Original rock cores of different rockburst areas were processed into standard rock specimens (diameter 50 mm, height 100 mm) in different directions (transverse, oblique and longitudinal). AE feature parameters (event number, ringing count and energy) of standard rock specimens during indoor uniaxial compression test were obtained by using AE technique. The variation law of AE feature parameters of rocks in different rockburst grade areas was then analyzed. The AE features of failure precursor of rocks in different rockburst areas were therefore discussed. It shows that compared with rocks in medium rockburst area, the content of quartz and feldspar of rocks in strong rockburst area is high, while the content of biotite is low; the rock in the strong rock burst area released more energy during the failure process with about 2-3 times that of the rock in the medium rock burst area; the cumulative ringing curve of rock in medium burst area is a stepped type, while the cumulative ringing curve of rock in strong burst area is the smoothed type; the end of the second and first AE quiet period may be regarded as the failure precursor of rocks in medium and strong rockburst area, respectively. The results presented herein are important for understanding the mechanisms of rockburst.

Characterization of the ADP-ß-D-manno-heptose biosynthetic enzymes from two pathogenic Vibrio strains.

ADP-activated ß-D-manno-heptoses (ADP-ß-D-manno-heptoses) are precursors for the biosynthesis of the inner core of lipopolysaccharide in Gram-negative bacteria. Recently, ADP-D-glycero-ß-D-manno-heptose (ADP-D,D-manno-heptose) and its C-6'' epimer, ADP-L-glycero-ß-D-manno-heptose (ADP-L,D-manno-heptose), were identified as potent pathogen-associated molecular patterns (PAMPs) that can trigger robust innate immune responses. Although the production of ADP-D,D-manno-heptose has been studied in several different pathogenic Gram-negative bacteria, current knowledge of ADP-ß-D-manno-heptose biosynthesis in Vibrio strains remains limited. Here, we characterized the biosynthetic enzymes of ADP-D,D-manno-heptose and the epimerase that converts it to ADP-L,D-manno-heptose from Vibrio cholerae (the causative agent of pandemic cholera) and Vibrio parahaemolyticus (non-cholera pathogen causing vibriosis with clinical manifestations of gastroenteritis and wound infections) in comparison with their isozymes from Escherichia coli. Moreover, we discovered that ß-D-mannose 1-phosphate, but not α-D-mannose 1-phosphate, could be activated to its ADP form by the nucleotidyltransferase domains of bifunctional kinase/nucleotidyltransferases HldEVC (from V. cholerae) and HldEVP (from V. parahaemolyticus). Kinetic analyses of the nucleotidyltransferase domains of HldEVC and HldEVP together with the E. coli-derived HldEEC were thus carried out using ß-D-mannose 1-phosphate as a mimic sugar substrate. Overall, our works suggest that V. cholerae and V. parahaemolyticus are capable of synthesizing ADP-ß-D-manno-heptoses and lay a foundation for further physiological function explorations on manno-heptose metabolism in Vibrio strains. KEY POINTS: • Vibrio strains adopt the same biosynthetic pathway as E. coli in synthesizing ADP-ß-D-manno-heptoses. • HldEs from two Vibrio strains and E. coli could activate ß-D-mannose 1-phosphate to ADP-ß-D-mannose. • Comparable nucleotidyltransfer efficiencies were observed in the kinetic studies of HldEs.

SLAPP: Subgraph-level attention-based performance prediction for deep learning models.

The intricacy of the Deep Learning (DL) landscape, brimming with a variety of models, applications, and platforms, poses considerable challenges for the optimal design, optimization, or selection of suitable DL models. One promising avenue to address this challenge is the development of accurate performance prediction methods. However, existing methods reveal critical limitations. Operator-level methods, proficient at predicting the performance of individual operators, often neglect broader graph features, which results in inaccuracies in full network performance predictions. On the contrary, graph-level methods excel in overall network prediction by leveraging these graph features but lack the ability to predict the performance of individual operators. To bridge these gaps, we propose SLAPP, a novel subgraph-level performance prediction method. Central to SLAPP is an innovative variant of Graph Neural Networks (GNNs) that we developed, named the Edge Aware Graph Attention Network (EAGAT). This specially designed GNN enables superior encoding of both node and edge features. Through this approach, SLAPP effectively captures both graph and operator features, thereby providing precise performance predictions for individual operators and entire networks. Moreover, we introduce a mixed loss design with dynamic weight adjustment to reconcile the predictive accuracy between individual operators and entire networks. In our experimental evaluation, SLAPP consistently outperforms traditional approaches in prediction accuracy, including the ability to handle unseen models effectively. Moreover, when compared to existing research, our method demonstrates a superior predictive performance across multiple DL models.

Regional Thermal Radiation Characteristics of FY Satellite Remote Sensing Based on Big Data Analysis.

It is of great significance to study the thermal radiation anomalies of earthquake swarms in the same area in terms of selecting abnormal characteristic determination parameters, optimizing and determining the processing model, and understanding the abnormal machine. In this paper, we investigated short-term and long-term thermal radiation anomalies induced by earthquake swarms in Iran and Pakistan between 2007 and 2016. The anomalies were extracted from infrared remote sensing black body temperature data from the China Geostationary Meteorological Satellites (FY-2C/2E/2F/2G) using the multiscale time-frequency relative power spectrum (MS T-FRPS) method. By analyzing and summarizing the thermal radiation anomalies of series earthquake groups with consistency law through a stable and reliable MS T-FRPS method, we first obtained the relationship between anomalies and ShakeMaps from USGS and proposed the anomaly regional indicator (ARI) to determine seismic anomalies and the magnitude decision factor (MDF) to determine seismic magnitude. In addition, we explored the following discussions: earthquake impact on regional thermal radiation background and the relationship between thermal anomalies and earthquake magnitude and the like. Future research directions using the MS T-FRPS method to characterize regional thermal radiation anomalies induced by strong earthquakes could help improve the accuracy of earthquake magnitude determination.

Efficient and accurate compound scaling for convolutional neural networks.

Designing efficient and accurate network architectures to support various workloads, from servers to edge devices, is a fundamental problem as the use of Convolutional Neural Networks (ConvNets) becomes increasingly widespread. One simple yet effective method is to scale ConvNets by systematically adjusting the dimensions of the baseline network, including width, depth, and resolution, enabling it to adapt to diverse workloads by varying its computational complexity and representation ability. However, current state-of-the-art (SOTA) scaling methods for neural network architectures overlook the inter-dimensional relationships within the network and the impact of scaling on inference speed, resulting in suboptimal trade-offs between accuracy and inference speed. To overcome those limitations, we propose a scaling method for ConvNets that utilizes dimension relationship and runtime proxy constraints to improve accuracy and inference speed. Specifically, our research notes that higher input resolutions in convolutional layers lead to redundant filters (convolutional width) due to increased similarity between information in different positions, suggesting a potential benefit in reducing filters while increasing input resolution. Based on this observation, the relationship between the width and resolution is empirically quantified in our work, enabling models with higher parametric efficiency to be prioritized through our scaling strategy. Furthermore, we introduce a novel runtime prediction model that focuses on fine-grained layer tasks with different computational properties for more accurate identification of efficient network configurations. Comprehensive experiments show that our method outperforms prior works in creating a set of models with a trade-off between accuracy and inference speed on the ImageNet datasets for various ConvNets.

Distributionally Robust Memory Evolution With Generalized Divergence for Continual Learning.

Continual learning (CL) aims to learn a non-stationary data distribution and not forget previous knowledge. The effectiveness of existing approaches that rely on memory replay can decrease over time as the model tends to overfit the stored examples. As a result, the model's ability to generalize well is significantly constrained. Additionally, these methods often overlook the inherent uncertainty in the memory data distribution, which differs significantly from the distribution of all previous data examples. To overcome these issues, we propose a principled memory evolution framework that dynamically adjusts the memory data distribution. This evolution is achieved by employing distributionally robust optimization (DRO) to make the memory buffer increasingly difficult to memorize. We consider two types of constraints in DRO: f-divergence and Wasserstein ball constraints. For f-divergence constraint, we derive a family of methods to evolve the memory buffer data in the continuous probability measure space with Wasserstein gradient flow (WGF). For Wasserstein ball constraint, we directly solve it in the euclidean space. Extensive experiments on existing benchmarks demonstrate the effectiveness of the proposed methods for alleviating forgetting. As a by-product of the proposed framework, our method is more robust to adversarial examples than compared CL methods.

Gut Microbiota Combined with Metabolomics Reveal the Mechanisms of Sika Deer Antler Protein on Cisplatin-Induced Hepatorenal Injury in Mice.

Cisplatin is a widely used antineoplastic drug, though its adverse effects, particularly its hepatorenal toxicity, limit its long-term application. Sika deer antler is a valuable traditional Chinese medicine (TCM) documented to possess the capacity for tonifying the kidney and regulating the liver, of which the sika deer antler protein is an important active ingredient. In this study, two protein fractions, SVPr1 and SVPr2, of sika deer antler were purified and administered to mice treated with cisplatin, and serum metabolome and fecal microbiota were measured using ultrahigh-performance liquid chromatography tandem mass spectrometry (UHPLC-MS/MS) and 16S rRNA gene sequencing. SVPr1 and SVPr2 significantly ameliorated cisplatin-induced liver and kidney injury and reduced mitochondrial dysfunction, oxidative stress, inflammatory response, and apoptosis. In addition, SVPr1 and SVPr2 impacted the gut microbiota structure of mice, significantly increasing the relative abundances of Lactobacillus, which deserves to be scrutinized. Moreover, SVPr1 and SVPr2 antagonism of cisplatin-induced hepatorenal injury may be related to the regulation of lysine degradation, tryptophan metabolism, and riboflavin metabolism pathways, significantly altering the levels of L-saccharopine, L-lysine, L-kynurenine, 3-methylindole, xanthurenic acid, riboflavin, and D-ribulose-5-phosphate. A correlation between the differential metabolites and Lactobacillus was identified. These findings increased the knowledge of the gut microbiota-metabolites axis mediated by SVPr1 and SVPr2, and may be able to contribute to the development of new therapeutic strategies for the simultaneous prevention and treatment of liver and kidney injury from cisplatin treatment.

Comparative Efficacy and Safety of Chinese Patent Medicines for Cervical High-risk Human Papillomavirus Infection: A Bayesian Network Meta-analysis.

Background: Many Chinese patent medicines have been reported to show anti-tumor cell effects on cervical cancer. To estimate the comparative effectiveness and safety of Chinese patent medicines for cervical high-risk human papillomavirus (HR-HPV) infection. Methods: Randomized controlled trials (RCTs) of Chinese patent medicines for HR-HPV infection were searched in eight databases until 31 August 2022, and two review authors independently extracted data and assessed the risk of bias. Outcomes concerning efficacy were evaluated as odds ratio (OR) and 95% credible intervals (CrI) utilizing R 4.1.2 and Stata 16.1. The protocol was registered on the International Prospective Register of Systematic Reviews (CRD42022351120). Results: We ultimately identified 60 RCTs that involved 5,951 participants and 8 interventions. Chinese patent medicines combined with recombinant human interferon (rhIFN) have better treatment effects than rhIFN alone. The results showed that Baofukang suppository (BFK) combined with rhIFN is greater for the rate of HR-HPV clearance follow-up at 6 months (SUCRA = 78.16%). Kushen gel (KS) combined with rhIFN ranked first for the rate of HR-HPV clearance after treatment (SUCRA = 90.77%). Furthermore, KS + rhIFN is most likely to be the best intervention for improving the clinical effectiveness rate (SUCRA = 87.39%). Adverse reactions were not statistically significant in BFK + rhIFN versus BFK, BFK + rhIFN versus rhIFN, and BFK versus rhIFN. Conclusion: The combination of Chinese patent medicines with rhIFN may demonstrate a higher efficacy than rhIFN alone in clearing the virus and improving cervical symptoms. Weighing with the clinical comprehensive efficacy, BFK + rhIFN and KS + rhIFN maybe the optimal treatments for cervical HR-HPV infection. However, more high-quality randomized controlled trials are needed in the future to further confirm the efficacy and safety of proprietary Chinese medicines for cervical HR-HPV infection.

FIB-SEM combined with proteomics and modification omics clarified mechanisms of lipids synthesis in organelles of Chlorella pyrenoidosa cells with high CO2 concentration.

In order to explain reasons why flue-gas CO2 (normally containing high CO2) enhanced carbon fixation and lipids synthesis with increased photochemical electron production in microalgae cells. Focused ion beam scanning electron microscopy (FIB-SEM) was combined with proteomics and phosphorylation modification mics to clarify mechanisms of lipids synthesis at protein and organelle levels in Chlorella pyrenoidosa cells cultivated with high CO2 concentration (15 % v/v). The volumes of chloroplast and endoplasmic reticulum in subcellular organelles increased by 47 % and 306 %, respectively, compared with the control, which improved conversion efficiency of starch grains to lipids (lipid content increased by 57 %). Proteomics and modifications omics revealed that protein translation and ribosome structure and biogenesis-related enzymes were significantly modified by phosphorylation, which regulated protein biological functions. Glycolysis, pentose phosphate pathway and other carbohydrate metabolic pathways were markedly enriched and promoted the expression of lipid synthase, which was consistent with enhanced carbon fixation in photosynthesis, expansion of subcellular organelles and improved lipids synthesis.