Associations of occupational exposure to micro-LiNiCoMnO2 particles with systemic inflammation and cardiac dysfunction in cathode material production for lithium batteries.

Micro-LiNiCoMnO2 (MNCM), a cathode material with highest market share, has increasing demand with the growth of lithium battery industry. However, whether MNCM exposure brings adverse effects to workers remains unclear. This study aimed to explore the association between MNCM exposure with systemic inflammation and cardiac function. A cross-sectional study of 347 workers was undertaken from the MNCM production industry in Guangdong province, China in 2020. Metals in urine were measured using ICP-MS. The associations between metals, systemic inflammation, and cardiac function were appraised using a linear or logistic regression model. Bayesian kernel machine regression (BKMR) and generalized weighted quantile sum (gWQS) models were used to explore mixed metal exposures. The analysis of interaction and mediation was adopted to assess the role of inflammation in the relation between urinary metals and cardiac function. We observed that the levels of lithium (Li) and cobalt (Co) were positively associated with systemic inflammation and heart rate. The amount of Co contributed the highest weight on the increased systemic immune-inflammation index (SII) (59.8%), the system inflammation response index (SIRI) (44.3%), and heart rate (65.0%). Based on the mediation analysis, we estimated that SII mediated 32.3% and 20.9% of the associations between Li and Co with heart rate, and SIRI mediated 44.6% and 22.2% of the associations between Li and Co with heart rate, respectively. This study demonstrated for the first time that MNCM exposure increased the risk of workers' systemic inflammation and elevated heart rate, which were contributed by the excessive Li and Co exposure. Additionally, it indicates that systemic inflammation was a major mediator of the associations of Li and Co with cardiac function in MNCM production workers.

Operation parameters and temperature affected sludge microbial metabolisms: An integrated perspective considering extracellular polymeric substances, soluble microbial products, biomass quantities, and community shifts.

Effluent soluble microbial products (SMP) and extracellular polymeric substances (EPS) are significant organics that pose challenges to advanced treatment processes. However, their production, transformation, and decomposition remain unclear due to their heterogeneity and the combined effects of environmental and operational factors. In this work, we investigated the impact of solids retention time (SRT), hydraulic retention time (HRT), and temperature on the changes in effluent SMP, with the consideration of the co-variation of EPS, sludge biomass, and community structures. Results show that longer SRT increased the biomass and relative abundance of functional microorganisms such as Myxococcota, Actinobacteria, and Terrimonas, which hindered EPS-to-SMP turnover and/or facilitated SMP consumption. This resulted in the accumulation of EPS and lower SMP concentrations at the beginning of the SRT adjustment. Both longer and shorter HRT (12 h and 8 h) led to increased SMP concentration, with the shorter HRT nearly doubling it (from approximately 6 to 12 mg/L), especially in terms of its protein and polysaccharide contents. Lower temperatures increased the SMP concentration and the relative abundance of Proteobacteria (including Zoogloea, the most dominant phylum and genus, relative abundance from 15.7 % to 61.1 %) while decreasing fluorescent EPS components, indicating the key role of Proteobacteria in SMP production and fluorescent EPS-to-SMP transformation. The results provided key insights into how changes in operational/environmental parameters impact sludge-EPS-SMP interactions, which could benefit the model development and operational optimization of activated sludge systems. This study also highlighted the important role of the sludge community in the EPS/SMP dynamics.

Global research trends in skiing from 1974 to 2023: A bibliometric analysis.

This study analyzes 1643 documents related to skiing from 1974 to 2023 using the Web of Science Core Collection database, employing CiteSpace and VOSviewer for quantitative analysis. Findings reveal a growing literature output, with the past five years contributing to 36.2 % of publications. Norway leads in total publications and collaboration intensity, with the University of Salzburg and the Norwegian University of Science and Technology as prominent institutions. The research spans a wide range of disciplines such as Sport Sciences, Physiology, etc., and interdisciplinary intersections with engineering, computer science, etc. have become a future research trend. The research focuses on the analysis of skiers' sports performance, the analysis of skiing-induced sports injuries, the biomechanical analysis of skiers' postures, and the analysis of skiing-induced respiratory diseases. The study highlights the evolution of research focus from skiing injuries to injury prevention and sports performance enhancement. This comprehensive overview aids scholars in understanding skiing research hotspots and future trends efficiently.

Millimeter-wave high-wavenumber scattering diagnostic developments on EAST and NSTX-U.

A pioneering 4-channel, high-k poloidal, millimeter-wave collective scattering system has been successfully developed for the Experimental Advanced Superconducting Tokamak (EAST). Engineered to explore high-k electron density fluctuations, this innovative system deploys a 270 GHz mm-wave probe beam launched from Port K and directed toward Port P (both ports lie on the midplane and are 110° part), where large aperture optics capture radiation across four simultaneous scattering angles. Tailored to measure density fluctuations with a poloidal wavenumber of up to 20 cm-1, this high-k scattering system underwent rigorous laboratory testing in 2023, and the installation is currently being carried out on EAST. Its primary purpose lies in scrutinizing ion and electron-scale instabilities, such as the electron temperature gradient (ETG) mode, by furnishing measurements of the kθ (poloidal wavenumber) spectrum. This advancement significantly bolsters the capacity to probe high-k electron density fluctuations within the framework of EAST. Beam tracing and data interpretation modules developed for both EAST and NSTX-U high-k scattering diagnostics are described.

Development of ultra-short pulse reflectometry on the Experimental Advanced Superconducting Tokamak (EAST).

Microwave reflectometry is an invaluable diagnostic tool for measuring electron density profiles in large fusion devices. Density fluctuations near the plasma cutoff layer, particularly those that are time-varying on the timescale of the reflectometry measurement, can result in distortions in phase and/or amplitude of the reflected waveform, which present challenges to the accuracy of the reconstructed profile. The ultra-short pulse reflectometry (USPR) technique eliminates the time-varying issue in that reflectometry data are collected on a nanosecond timescale, essentially freezing the fluctuations in place. An X-mode dedicated 32-channel USPR system has been developed and installed on the EAST, covering the operation frequency range from 52 to 92 GHz. This system enables high-resolution density profile measurements in the plasma pedestal and scrape-off layer, with resolutions reaching 5 mm and 1 µs, respectively. Laboratory testing of the system performance has been conducted, demonstrating the potential of the USPR technique to provide accurate and high-temporal-resolution density profiles in challenging plasma environments.

[An in vitro self-ligation-based method for constructing infectious DNA clone of porcine circovirus type 2].

The aim of this study was to establish a rapid method for constructing infectious clones of porcine circovirus type 2 (PCV2). In this study, we constructed circular infectious clones of PCV2 by seamless cloning technology, using the clinically isolated strain PCV2-LX as a template. Meanwhile, this method was compared with the conventional restriction-ligation approach, focusing on the in vitro circularization (self-ligation) process of the genome and the growth characteristics of rescued viruses. The results showed that this method eliminates the need to analyze and introduce restriction endonuclease sites, thus avoiding the complexities associated with traditional restriction enzyme-based cloning steps. It offers a simple and rapid operation, enabling more efficient editing of the PCV2 genome. The infectious clones constructed using this method could be successfully rescued through liposome transfection, resulting in the production of recombinant viruses that could be stably passaged. Moreover, the recombinant viruses rescued by this method exhibited enhanced proliferative capacity in PK-15 cells and 3D4/31 cells (immortalized porcine alveolar macrophages). In conclusion, this study has established a novel reverse genetics system for PCV2, providing a new strategy for the development of PCV2 genetic engineering vaccines. Additionally, it serves as a reference for the construction of infectious clones for other emerging circoviruses such as PCV3 and PCV4.

Construction of Near-Infrared Probes with Remarkable Large Stokes Shift Based on a Novel Purine Platform for the Visualization of mtG4 Upregulation during Mitochondrial Disorder in Somatic Cells and Human Sperms.

G-quadruplex structures within the nuclear genome (nG4) is an important regulatory factor, while the function of G4 in the mitochondrial genome (mtG4) still needs to be explored, especially in human sperms. To gain a better understanding of the relationship between mtG4 and mitochondrial function, it is crucial to develop excellent probes that can selectively visualize and track mtG4 in both somatic cells and sperms. Herein, based on our previous research on purine frameworks, we attempted for the first time to extend the conjugated structure from the C-8 site of purine skeleton and discovered that the purine derivative modified by the C-8 aldehyde group is an ideal platform for constructing near-infrared probes with extremely large Stokes shift (>220 nm). Compared with the compound substituted with methylpyridine (PAP), the molecule substituted with methylthiazole orange (PATO) showed better G4 recognition ability, including longer emission (∼720 nm), more significant fluorescent enhancement (∼67-fold), lower background, and excellent photostability. PATO exhibited a sensitive response to mtG4 variation in both somatic cells and human sperms. Most importantly, PATO helped us to discover that mtG4 was significantly increased in cells with mitochondrial respiratory chain damage caused by complex I inhibitors (6-OHDA and rotenone), as well as in human sperms that suffer from oxidative stress. Altogether, our study not only provides a novel ideal molecular platform for constructing high-performance probes but also develops an effective tool for studying the relationship between mtG4 and mitochondrial function in both somatic cells and human sperms.

Modeling the electron cyclotron emission radiation signature from suprathermal electrons in a tokamak.

An Electron Cyclotron Emission (ECE) modeling code has been developed to model ECE radiation with an arbitrary electron momentum distribution, a small oblique angle, both ordinary (O-mode) and extraordinary polarizations (X-mode), and multiple cyclotron frequency harmonics. The emission and absorption coefficients are calculated using the Poynting theorem from the cold plasma dispersion and the electron-microwave interaction from the full anti-Hermitian tensor. The modeling shows several ECE radiation signatures that can be used to diagnose the population of suprathermal electrons in a tokamak. First, in an n = 2 X-mode (X2) optically thick plasma and oblique ECE view, the modeling shows that only suprathermal electrons, which reside in a finite region of the velocity and space domains, can effectively generate cyclotron emissions to the ECE receiver. The code also finds that the O1 mode is sensitive to suprathermal electrons of both a high v⊥ and v‖, while the X2 mode is dominantly sensitive to suprathermal electrons of a high v⊥. The modeling shows that an oblique ECE system with both X/O polarization and a broad frequency coverage can be used to effectively yield information of the suprathermal electron population in a tokamak.

The anti-hyperplasia effect of polysaccharide from Prunella vulgaris L. on mammary gland hyperplasia in rats through regulation of the AKT-FOXO3a signaling pathway and intestinal flora.

BACKGROUND: Prunella vulgaris L., a medicinal and edible homologous plant, is often used to treat conditions such as breast hyperplasia, thyroid enlargement and lymphatic tuberculosis. Research has demonstrated that it is particularly effective in the treatment of mammary gland hyperplasia (MGH). However, the material basis and mechanism of its efficacy are still unclear. RESULTS: Our results showed that in rats with MGH, polysaccharide from Prunella vulgaris L. (PVP) led to a reduction in the levels of estradiol, prolactin and malondialdehyde, while simultaneously increasing the concentrations of progesterone (P), superoxide dismutase (SOD), manganese superoxide dismutase (MnSOD) and catalase (CAT) in the serum. In addition, results obtained from 16S rRNA sequencing demonstrated that PVP had the capacity to increase the richness and diversity of the intestinal microbiota in MGH rats, as well as modify the structure of the microbiota. Correlation analysis revealed that the levels of P, SOD, MnSOD and CAT were positively associated with Allobaculum, Romboutsia, Faecalibaculum and Clostridium, while negatively correlated with Turicibacter. CONCLUSIONS: The mechanism of PVP in treating MGH might be through inhibiting the phosphorylation of the AKT-FOXO3a signaling pathway and then activating the expression of downstream antioxidant enzymes, such as MnSOD and CAT. At the same time, PVP could restore intestinal flora homeostasis in rats with MGH by regulating the flora changes of Allobaculum, Romboutsia, Clostridium and Faecalibaculum, thereby reducing oxidative stress in rats with MGH. © 2024 Society of Chemical Industry.

A nomogram combining CT-based radiomic features with clinical features for the differentiation of benign and malignant cystic pulmonary nodules.

BACKGROUND: Currently, the differentiation between benign and malignant cystic pulmonary nodules poses a significant challenge for clinicians. The objective of this retrospective study was to construct a predictive model for determining the likelihood of malignancy in patients with cystic pulmonary nodules. METHODS: The current study involved 129 patients diagnosed with cystic pulmonary nodules between January 2017 and June 2023 at the Neijiang First People's Hospital. The study gathered the clinical data, preoperative imaging features of chest CT, and postoperative histopathological results for both cohorts. Univariate and multivariate logistic regression analyses were employed to identify independent risk factors, from which a prediction model and nomogram were developed. In addition, The model's performance was assessed through receiver operating characteristic (ROC) curve analysis, calibration curve analysis, and decision curve analysis (DCA). RESULTS: A cohort of 129 patients presenting with cystic pulmonary nodules, consisting of 92 malignant and 37 benign lesions, was examined. Logistic data analysis identified a cystic airspace with a mural nodule, spiculation, mural morphology, and the number of cystic cavities as significant independent predictors for discriminating between benign and malignant cystic lung nodules. The nomogram prediction model demonstrated a high level of predictive accuracy, as evidenced by an area under the ROC curve (AUC) of 0.874 (95% CI: 0.804-0.944). Furthermore, the calibration curve of the model displayed satisfactory calibration. DCA proved that the prediction model was useful for clinical application. CONCLUSION: In summary, the risk prediction model for benign and malignant cystic pulmonary nodules has the potential to assist clinicians in the diagnosis of such nodules and enhance clinical decision-making processes.

Kaempferol from Alpinia officinarum hance induces G2/M cell cycle arrest in hepatocellular carcinoma cells by regulating the ATM/CHEK2/KNL1 pathway.

ETHNOPHARMACOLOGICAL RELEVANCE: Alpinia officinarum Hance (A. officinarum), a perennial herb known for its medicinal properties, has been used to treat various ailments, such as stomach pain, abdominal pain, emesis, and digestive system cancers. A. officinarum is extensively cultivated in the Qiongzhong and Baisha regions of Hainan, and it holds substantial therapeutic value for the local Li people of Hainan. Kaempferol, a flavonoid derived from A. officinarum, has demonstrated anticancer properties in various experimental and biological studies. Nevertheless, the precise mechanisms through which it exerts its anti-hepatocellular carcinoma (HCC) effects remain to be comprehensively delineated. AIM OF THE STUDY: This investigation aims to elucidate the anti-HCC effects of kaempferol derived from A. officinarum and to delve into its underlying mechanistic pathways. MATERIALS AND METHODS: Using ultra-high performance liquid chromatography-mass spectrometry/mass spectrometry (UPLC-MS/MS) to identify active compounds in A. officinarum. HCCLM3 and Huh7 cells were used to study the anti-HCC effect of kaempferol from A. officinarum. The cytotoxicity and proliferation of kaempferol and A. officinarum were measured using CCK-8 and EDU staining. Wound-healing assays and three-dimensional tumor spheroid models were further used to evaluate migration and the anti-HCC activity of kaempferol. The cell cycle and apoptosis were evaluated by flow cytometry. Western blot and qRT-PCR were used to detect the expression of proteins and genes associated with the cell cycle checkpoints. Finally, bioinformatics was used to analyze the relationship between the differential expression of core targets in the ATM/CHEK2/KNL1 pathway and a poor prognosis in clinical HCC samples. RESULTS: UPLC-MS/MS was employed to detect five active compounds in A. officinarum, such as kaempferol. The CCK-8 and EDU assays showed that kaempferol and A. officinarum significantly inhibited the proliferation of HCC cells. A wound-healing assay revealed that kaempferol remarkably inhibited the migration of HCC cells. Kaempferol significantly suppressed the growth of tumor spheroids. In addition, kaempferol markedly induced G2/M arrest and promoted apoptosis of HCC cells. Mechanically, kaempferol significantly reduced the protein and mRNA expression levels of ATM, CHEK2, CDC25C, CDK1, CCNB1, MPS1, KNL1, and Bub1. Additionally, the combination of kaempferol and the ATM inhibitor KU55933 had a more significant anti-HCC effect. The results of bioinformatics showed that ATM, CHEK2, CDC25C, CDK1, and KNL1 were highly expressed in patients with HCC and cancer tissues, indicating that these genes have certain value in the clinical diagnosis of HCC. CONCLUSIONS: Collectively, our results revealed that kaempferol from A. officinarum inhibits the cell cycle by regulating the ATM/CHEK2/KNL1 pathway in HCC cells. In summary, our research presents an innovative supplementary strategy for HCC treatment.

Measurements of 131I activity in thyroid of workers at the place of radioiodine therapy in 38 hospitals in China.

To investigate the levels of 131I activity in thyroid of workers at the place of radioiodine therapy and their main influential factors in China, 341 workers at 38 hospitals performing radioiodine therapy procedure in five provinces were recruited to be measured in 2021. A hand-held gamma spectrometer with NaI(Tl) probe was plastered to the thyroids and thighs of the subjects during the measurement, and each measurement time was 120 s. The internal exposure dose was calculated, and the committed effective dose was estimated. In 86 (25.22%) of the 341 examined workers, 131I thyroid activity was above minimum detectable activity (MDA, 26.6 Bq). The maximum activity was 4.9 × 103 Bq. The detection results above MDA were at 22 (57.89%) different hospitals. The detectable rate for private hospitals (4.8%) was significantly lower than that for public hospitals (26.6%), P < 0.05. The detectable rate for hospitals in provincial capital cities (15.4%) was significantly lower than in nonprovincial capital cities (41.7%), P < 0.001. The detectable rate for hospitals engaged in 131I therapy for thyroid cancer (31.2%) was significantly higher than only for hyperthyroidism (10.3%), P < 0.001. A total of 32 subjects' committed effective dose might exceed 1 mSv. Results indicated the 131I activity in the thyroid of workers at the place of radioiodine varied considerably in China, and mainly related to ownership, location and therapy program of the hospitals.

Integrating network pharmacology, bioinformatics, and experimental validation to unveil the molecular targets and mechanisms of galangin for treating hepatocellular carcinoma.

BACKGROUND: Galangin, a flavonoid compound, is derived from Alpinia officinarum Hance. Previous studies have shown that galangin can inhibit the proliferation of hepatocellular carcinoma (HCC), but its mechanism is still unclear. This study aims to investigate the potential targets and molecular mechanisms of galangin on HCC through network pharmacology, bioinformatics, molecular docking, and experimental in vitro validation. METHODS: In this study, network pharmacology was used to investigate the targets and mechanisms of galangin in the treatment of HCC. AutoDockTools software was used to simulate and calculate the binding of galangin to its core targets. GO and KEGG enrichment analyses were conducted in the DAVID database to explore the main biological functions and signaling pathways impacted by galangin intervention. In addition, bioinformatics was applied to examine the correlation between the differential expressions of the anti-HCC core targets of galangin and the survival of patients with HCC. Finally, the findings obtained from network pharmacology and bioinformatics were verified in cell experiments. RESULTS: A total of 67 overlapping target genes of galangin and HCC were identified. Through the analysis of the protein-protein interaction (PPI) network, 10 hub genes with the highest degree of freedom were identified, including SRC, ESR1, MMP9, CDK4, CCNB1, MMP2, CDK2, CDK1, CHK1, and PLK1. These genes were found to be closely related to the degradation of the extracellular matrix, signal transduction, and the cell cycle. GO and KEGG enrichment analyses revealed that galangin exerts an anti-HCC role by affecting various signaling pathways, including the cell cycle, pathways in cancer, and the PI3K-Akt signaling pathway. The results of molecular docking indicated a significant interaction between galangin and CCNB1, CDK4, CDK1, and PLK1. Bioinformatics analysis revealed that CCNB1, CDK4, CDK1, and PLK1 were upregulated in the liver of patients with HCC at both the mRNA and protein levels. Flow cytometry analysis showed that galangin induced G0/G1 phase arrest and cell apoptosis in HepG2 and Huh7 cells. Additionally, galangin suppressed the expression of key proteins and mRNAs involved in the cell cycle pathway. CONCLUSIONS: These results suggest that galangin inhibits the growth of HCC cells by arresting the cell cycle at the G0/G1 phase.

GATA binding protein 2 mediated ankyrin repeat domain containing 26 high expression in myeloid-derived cell lines.

BACKGROUND: Thrombocytopenia 2, an autosomal dominant inherited disease characterized by moderate thrombocytopenia, predisposition to myeloid malignancies and normal platelet size and function, can be caused by 5'-untranslated region (UTR) point mutations in ankyrin repeat domain containing 26 (ANKRD26). Runt related transcription factor 1 (RUNX1) and friend leukemia integration 1 (FLI1) have been identified as negative regulators of ANKRD26. However, the positive regulators of ANKRD26 are still unknown. AIM: To prove the positive regulatory effect of GATA binding protein 2 (GATA2) on ANKRD26 transcription. METHODS: Human induced pluripotent stem cells derived from bone marrow (hiPSC-BM) and urothelium (hiPSC-U) were used to examine the ANKRD26 expression pattern in the early stage of differentiation. Then, transcriptome sequencing of these iPSCs and three public transcription factor (TF) databases (Cistrome DB, animal TFDB and ENCODE) were used to identify potential TF candidates for ANKRD26. Furthermore, overexpression and dual-luciferase reporter experiments were used to verify the regulatory effect of the candidate TFs on ANKRD26. Moreover, using the GENT2 platform, we analyzed the relationship between ANKRD26 expression and overall survival in cancer patients. RESULTS: In hiPSC-BMs and hiPSC-Us, we found that the transcription levels of ANKRD26 varied in the absence of RUNX1 and FLI1. We sequenced hiPSC-BM and hiPSC-U and identified 68 candidate TFs for ANKRD26. Together with three public TF databases, we found that GATA2 was the only candidate gene that could positively regulate ANKRD26. Using dual-luciferase reporter experiments, we showed that GATA2 directly binds to the 5'-UTR of ANKRD26 and promotes its transcription. There are two identified binding sites of GATA2 that are located 2 kb upstream of the TSS of ANKRD26. In addition, we discovered that high ANKRD26 expression is always related to a more favorable prognosis in breast and lung cancer patients. CONCLUSION: We first discovered that the transcription factor GATA2 plays a positive role in ANKRD26 transcription and identified its precise binding sites at the promoter region, and we revealed the importance of ANKRD26 in many tissue-derived cancers.

Dynamics of a Cournot game with bounded rational firms and various scale effects.

In this paper, we focus on a dynamic Cournot game in the market with a nonlinear (isoelastic) demand function. In our model, there are N competing firms featured by nonlinear cost functions, which enhances our model's resemblance to real-world scenarios. Firstly, we focus on the homogeneous case where firms' marginal costs change at equal rates. We establish analytical expressions of the market supply at equilibrium and perform comparative static analysis. In addition, we investigate the local stability under different economies of scale and show that there could be multiple stable equilibria if firms face economies of scale. The heterogeneous case where firms' marginal costs change at distinct rates is much more complex, thus we investigate the duopoly game with only two firms involved. Methods of symbolic computations such as triangular decomposition and partial cylindrical algebraic decomposition are employed in the analytical investigations of the equilibrium, which is nearly impossible by using the pencil-and-paper approach since the closed-form equilibrium is quite complicated. According to the computational results, we derive that two stable positive equilibria may coexist if both firms face economies of scale. Additionally, we conduct preliminary numerical simulations and find two different types of complex dynamics of the model considered in this paper: complex trajectories such as periodic and chaotic orbits may appear; the topological structure of the basins of attraction may be complex.

An efficient visual servo tracker for herd monitoring by UAV.

It is a challenging and meaningful task to carry out UAV-based livestock monitoring in high-altitude (more than 4500 m on average) and cold regions (annual average - 4 °C) on the Qinghai Tibet Plateau. The purpose of artificial intelligence (AI) is to execute automated tasks and to solve practical problems in actual applications by combining the software technology with the hardware carrier to create integrated advanced devices. Only in this way, the maximum value of AI could be realized. In this paper, a real-time tracking system with dynamic target tracking ability is proposed. It is developed based on the tracking-by-detection architecture using YOLOv7 and Deep SORT algorithms for target detection and tracking, respectively. In response to the problems encountered in the tracking process of complex and dense scenes, our work (1) Uses optical flow to compensate the Kalman filter, to solve the problem of mismatch between the target bounding box predicted by the Kalman filter (KF) and the input when the target detection in the current frame is complex, thereby improving the prediction accuracy; (2) Using a low confidence trajectory filtering method to reduce false positive trajectories generated by Deep SORT, thereby mitigating the impact of unreliable detection on target tracking. (3) A visual servo controller has been designed for the Unmanned Aerial Vehicle (UAV) to reduce the impact of rapid movement on tracking and ensure that the target is always within the field of view of the UAV camera, thereby achieving automatic tracking tasks. Finally, the system was tested using Tibetan yaks on the Qinghai Tibet Plateau as tracking targets, and the results showed that the system has real-time multi tracking ability and ideal visual servo effect in complex and dense scenes.

Identification of early coagulation changes associated with survival outcomes post severe burns from multiple perspectives.

Coagulation alterations manifest early after severe burns and are closely linked to mortality outcomes. Nevertheless, the precise characterization of coagulation changes associated with early mortality remains elusive. We examined alterations in indicators linked to mortality outcomes at both the transcriptomic and clinical characteristic levels. At the transcriptomic level, we pinpointed 28 differentially expressed coagulation-related genes (DECRGs) following burn injuries and endeavored to validate their causal relationships through Mendelian randomization. DECRGs tied to survival exhibit a significant association with neutrophil function, wherein the expression of CYP4F2 and P2RX1 serves as robust predictors of fatal outcomes. In terms of clinical indicators, early levels of D-dimer and alterations in serum calcium show a strong correlation with mortality outcomes. Coagulation depletion and fibrinolytic activation, stemming from the hyperactivation of coagulation pathways post-severe burns, are strongly linked to patient mortality. Monitoring these early coagulation markers with predictive value can effectively identify individuals necessitating priority critical care.

Long-Term Follow-Up of Patients Undergoing Thalidomide Therapy for Transfusion-Dependent ß-Thalassaemia: A Single-Center Experience.

Objective: We evaluated the long-term safety and efficacy of thalidomide in the treatment of transfusion-dependent ß-thalassemia (TDT). Methods: Fifty patients with TDT were treated with thalidomide and followed-up for 5 years. Thalidomide at a 50 mg dose was administered once a day after dinner. The dose was increased to 150 mg/d after 3 d if well tolerated. After 1 year of treatment, the hemoglobin (Hb) level was stabilized at its maximum, and thalidomide was gradually reduced and maintained at the minimum dose. The hematological response, transfusion dependence, and haemolytic indicators were assessed. Results: At 9 month of follow-up, 38 (76%) patients achieved an excellent response, 1 (2%) a good response, 4(8%) a minor response, and 7(14%) did not show a response. The overall response rate was 86%. At 9 months, the Hb level increased from 79.0 ± 13.2 g/L at baseline to 99.0 ± 13.7g/L (P<0.001). Patients who achieved excellent response continued to show an increase in Hb levels during follow-up. At 48 months, the mean Hb level was 98.99 ± 10.3g/L; 21 patients (84.0%) became transfusion independent. Thalidomide was reduced and maintained to 25 mg/d in three of these patients. Moreover, five patients completed 60 months of follow-up, and with a mean Hb level of 99.8 ± 6.7g/L. During follow-up, grade 1-2 adverse drug reactions were noted; however, no grade 3 or higher adverse event was reported. However, no decrease in hemolytic indicators was observed. Conclusion: Thalidomide was well tolerated in the long term, while it significantly improved Hb levels and reduced the transfusion burden.

Functional Plasmonic Microscope: Characterizing the Metabolic Activity of Single Cells via Sub-nm Membrane Fluctuations.

Metabolic abnormalities are at the center of many diseases, and the capability to film and quantify the metabolic activities of a single cell is important for understanding the heterogeneities in these abnormalities. In this paper, a functional plasmonic microscope (FPM) is used to image and measure metabolic activities without fluorescent labels at a single-cell level. The FPM can accurately image and quantify the subnanometer membrane fluctuations with a spatial resolution of 0.5 µm in real time. These active cell membrane fluctuations are caused by metabolic activities across the cell membrane. A three-dimensional (3D) morphology of the bottom cell membrane was imaged and reconstructed with FPM to illustrate the capability of the microscope for cell membrane characterization. Then, the subnanometer cell membrane fluctuations of single cells were imaged and quantified with the FPM using HeLa cells. Cell metabolic heterogeneity is analyzed based on membrane fluctuations of each individual cell that is exposed to similar environmental conditions. In addition, we demonstrated that the FPM could be used to evaluate the therapeutic responses of metabolic inhibitors (glycolysis pathway inhibitor STF 31) on a single-cell level. The result showed that the metabolic activities significantly decrease over time, but the nature of this response varies, depicting cell heterogeneity. A low-concentration dose showed a reduced fluctuation frequency with consistent fluctuation amplitudes, while the high-concentration dose showcased a decreasing trend in both cases. These results have demonstrated the capabilities of the functional plasmonic microscope to measure and quantify metabolic activities for drug discovery.