Heralded Three-Photon Entanglement from a Single-Photon Source on a Photonic Chip

In the quest to build general-purpose photonic quantum computers, fusion-based quantum computation has risen to prominence as a promising strategy. This model allows a ballistic construction of large cluster states which are universal for quantum computation, in a scalable and loss-tolerant way without feed forward, by fusing many small n-photon entangled resource states. However, a key obstacle to this architecture lies in efficiently generating the required essential resource states on photonic chips. One such critical seed state that has not yet been achieved is the heralded three-photon Greenberger-Horne-Zeilinger (3-GHZ) state. Here, we address this elementary resource gap, by reporting the first experimental realization of a heralded 3-GHZ state. Our implementation employs a low-loss and fully programmable photonic chip that manipulates six indistinguishable single photons of wavelengths in the telecommunication regime. Conditional on the heralding detection, we obtain the desired 3-GHZ state with a fidelity 0.573±0.024. Our Letter marks an important step for the future fault-tolerant photonic quantum computing, leading to the acceleration of building a large-scale optical quantum computer.

Altered brain iron deposition in patients with minimal hepatic encephalopathy: an MRI quantitative susceptibility mapping study

AIM

To explore the use of quantitative susceptibility mapping (QSM) in assessing changes in brain iron deposits and their association with cognitive function in patients with minimal hepatic encephalopathy (MHE).

MATERIALS AND METHODS

The study cohort comprised 27 cases with hepatitis B-associated cirrhosis with MHE (MHE group), 25 with hepatitis B-associated cirrhosis without MHE (NMHE group), and 25 healthy controls (HC group). Iron deposits in the bilateral frontal white matter, caudate nucleus (CN), putamen, globus pallidus, thalamus, red nucleus, substantia nigra (SN), hippocampus, and dentate nucleus were measured by QSM. The associations between iron deposition with the time taken to complete number connection tests A (NCT-A) and the score on digital-symbol test (DST) were analysed.

RESULTS

Susceptibility values differed significantly in the bilateral CN, left thalamus, right SN, and left hippocampus in the MHE group compared with the other groups and were positively associated with the times taken to complete the NCT-A in the bilateral CN, left thalamus, and right SN and negatively associated with DST scores in the bilateral CN, left TH, and left HP.

CONCLUSION

Reduced cognitive function in MHE patients was significantly associated with abnormally increased iron deposition in certain brain areas. The quantification of brain iron deposition by QSM may thus be an objective and accurate means of evaluating MHE.

Analysis of the effect of elevated systemic immuno-inflammation index on hepatic steatosis based on the NHANES database

OBJECTIVE

Based on data from the National Health and Nutrition Examination Survey (NHANES), this study aimed to investigate the effect of high levels of systemic immune inflammation (SII) on hepatic steatosis by conducting a population-based cross-sectional survey of research subjects.

SUBJECTS AND METHODS

The population included 5,119 participants from the NHANES 2017-2020 cycle who were selected as the research subjects. We used (neutrophil count × platelet count)/lymphocyte count as the formula for calculating SII. The formula for calculating HSI levels was 8 × the ratio of [alanine aminotransferase (ALT) / aspartate aminotransferase (AST)] + body mass index (BMI) + 2 (with diabetes mellitus) + 2 (for women). HSI=36 was taken as the cut-off value for evaluating hepatic steatosis. Multivariate logistic regression analysis was used to evaluate the relationship between hepatic steatosis and SII in different models. Subgroup analysis was used to explore the relationship between different subgroups of SII and hepatic steatosis. Interaction analyses were used to assess the heterogeneity.

RESULTS

Out of a total of 5,119 participants, hepatic steatosis was observed in 2,742 individuals. Multivariate logistic regression showed that the independent risk factor for hepatic steatosis was a high SII level (OR=1.33, 95% CI: 1.11-1.49, p<0.05). After adjusting for differences in BMI and HSI using propensity score matching (PSM), bariatric surgery also reduced SII risk.

CONCLUSIONS

There is a correlation between SII and hepatic steatosis, and bariatric surgery can effectively reduce SII risk in the hepatic steatosis population.

CIRCUSP42 AMELIORATES LPS-INDUCED HUMAN RENAL EPITHELIAL CELLS IN VITRO BY REGULATING THE MIR-182-5P/DUSP1 AXIS

ABSTRACT

Background: Sepsis is a life-threatening systemic inflammatory disease that can cause many diseases, including acute kidney injury (AKI). Increasing evidence showed that a variety of circular RNAs were considered to be involved in the development of the disease. In this study, we aimed to elucidate the role and potential mechanism of circUSP42 in sepsis-induced AKI. Methods: HK2 cells were treated with lipopolysaccharide (LPS) to establish septic AKI cell model. The expression levels of circUSP42, microRNA-182-5p (miR-182-5p), and DUSP1 in LPS-treated HK2 cells were measured by quantitative real-time polymerase chain reaction or Western blot. Functional experiments were performed by using Cell Counting Kit-8, 5-ethynyl-2'-deoxyuridine staining, flow cytometry, oxidative stress assay, and enzyme-linked immunosorbent assay. The potential target binding site between miR-182-5p and CircUSP42 or DUSP1 was verified by dual-luciferase reporter and RNA immunoprecipitation assays. Results: CircUSP42 and DUSP1 were downregulated in serum samples from patients with AKI and LPS-treated HK2 cells, while miR-182-5p was upregulated. Functionally, overexpression of CircUSP42 promoted cell proliferation and inhibited apoptosis, inflammation, and oxidative stress in LPS-triggered HK2 cells. Further mechanism analysis showed that miR-182-5p had potential binding sites with circUSP42 and DUSP1, and circUSP42 regulated LPS-induced cell damage by targeting miR-182-5p. At the same time, miR-182-5p knockdown inhibited LPS-treated HK2 cell damage by regulating DUSP1. In addition, circUSP42 induced DUSP1 expression via sponging miR-182-5p to ameliorate LPS-induced HK2 cell damage. Conclusion : Our results showed that circUSP42 overexpression might attenuate LPS-induced HK2 cell injury by regulating miR-182-5p/DUSP1 axis. This might provide therapeutic strategy for the treatment of sepsis.

EGFR-targeted humanized single chain antibody fragment functionalized silica nanoparticles for precision therapy of cancer

The combination of highly specific targeting ability and potent killing effect has made antibody-drug conjugates (ADCs) a popular area of focus in the development of anti-cancer drugs. However, the large molecular weight of IgG antibodies (∼ 150 kDa) often faces challenges in penetrating capillaries and stroma in tumor tissue. Moreover, when the drug-antibody ratio (DAR) is too low (DAR < 2) or too high (DAR > 6) it decreases the effectiveness of the ADC and further increases the potential for aggregation, overall clearance of the early system payload, and release rate. In this study, an EGFR-based single-chain antibody fragment (husA)-human serum albumin (HSA)-coupled FITC-labeled mesoporous silica nanoparticle (FMSN-DOX-H-husA) was developed. Chinese hamster ovarian cells express the husA, which is a single chain antibody fragment of the EGFR that has been humanized. The small molecular weight of the single chain antibody allows for shorter penetration into solid tumors and the absence of adverse effects of the Fc fragment. The modification of HSA improves the safety of the antibody nanoparticle couples by both improving the biocompatibility of the nanoparticles, prolonging the circulation time of the nanoparticles, and avoiding early release of the payload. Also, the humanization substantially reduces the immunogenicity. More importantly, the ratio of drug antibodies on nanoparticles was experimentally and computationally derived to be 11.8, providing a more accurate guide for clinical trials. The results of both in vivo and in vitro experiments indicated promising antitumor activity and safety of FMSN-DOX-H-husA. Thus, this antibody-drug conjugate provided a hopeful option for cancer treatment.

[Correlation analysis of dynamic enhanced energy spectrum CT parameters with Ki-67 high expression in hepatocellular carcinoma]

Objective: To investigate the correlation between dynamic enhanced energy spectral CT parameters and Ki-67 high expression in hepatocellular carcinoma (HCC). Methods: A cross-sectional study. This retrospective case-control study analyzed the clinical data of 101 patients with pathologically confirmed HCC in Xiamen Hospital of Traditional Chinese Medicine and Zhongshan Hospital of Xiamen University from December 2017 to March 2023. These 101 patients included 84 males and 17 females, and the age[M(Q1, Q3)] was 59.0(49.0,66.0)years. These patients were divided into two groups according to the immunohistochemical Ki-67 expression levels in tumor tissues: the high expression group (Ki-67%>20%, n=59) and the low expression group (Ki-67%≤20%, n=42).CT values on 70 keV and 140 keV monochromatic energy images (HU70 keV-a, HU140 keV-a, HU70 keV-p, HU140 keV-p) and water density (Dwater-a, Dwater-p) were measured in arterial phase and portal vein phase, and the difference of HU70 keV, HU140 keV, Dwater values between portal vein and arterial phase (ΔHU70 keV, ΔHU140 keV, ΔDwater), as well as ratio of HU70 keV, HU140 keV, Dwatervalues between portal vein and arterial phase (HU70 keVratio, HU140 keVratio, Dwaterratio) were calculated. Spearman correlation analysis was used to analyze the correlation between the CT spectral parameters and Ki-67%. Multivariate logistic regression model was used to determine the factors associated with high expression of Ki-67. The receiver operating characteristics (ROC) curves were used to indicate the efficacy of dynamic enhanced spectral CT in evaluating Ki-67 high expression in HCC. Results: The high Ki-67 expression group revealed higher alpha fetal protein levels, larger tumor diameter and more irregular tumor shape compared with the low Ki-67 expression group,and the differences were statistically significant (all P<0.05). Spearman correlation analysis showed that the HU140 keV-p, Dwater-p, HU70 keV ratio, HU140 keV ratio, Dwater ratio, ΔHU70 keV, ΔHU140 keV, ΔDwater were positively correlated with Ki-67 positivity rate (r:0.31-0.50, all P<0.05). The spectral CT parameters (HU70 keV-p, HU140 keV-p, Dwater-p, HU70 keV ratio, HU140 keV ratio, Dwater ratio, ΔHU70 keV, ΔHU140 keV, ΔDwater) in high Ki-67 expression group were significantly higher than those in low Ki-67 expression group (all P<0.05). Multivariate logistic regression model shows that Dwater-p(OR=1.16, 95%CI: 1.05-1.29, P=0.005), ΔHU140 keV(OR=1.39, 95%CI: 1.20-1.62, P<0.001) and irregular tumor morphology (OR=5.25, 95%CI: 1.61-17.12, P=0.006) were correlative factors for high Ki-67 expression. The HU140 keV ratio and ΔHU140 keV alone evaluated the highest AUC of high Ki-67 high expression in HCC, which were 0.82 (95%CI: 0.74-0.90), the sensitivity were 61.0%, and the specificity were 88.1% and 85.7%. The combined analysis of Dwater-p, ΔHU140 keV and irregular tumor morphology had an increased AUC of 0.88 (95%CI: 0.81-0.95) in assessment high Ki-67 expression, with the sensitivity of 84.7% and the specificity of 78.6%. Conclusions: Dynamic enhanced spectral CT parameters were positively correlated with the Ki-67 expression in HCC. Spectral CT provides a non-invasive method to evaluate the proliferation status of HCC cells, and the efficiency could be improved by multi-parameter analysis combining spectral CT parameters and morphologic features.

[Anticancer effect of parasites and its underlying mechanisms: a review]

Both parasitic diseases and cancers are disorders that seriously threaten human health. A strong correlation has been recently found between parasitic infections and cancers, and multiple species of parasites and their derived products have shown effective to suppress cancer development, progression and metastasis. Therefore, deciphering the interaction among parasites, cancers and hosts not only provides new insights into the development of cancer therapy, but also provides the basis for screening of parasites-derived active anticancer molecules. This review summarizes the latest advances in the anticancer activity of parasites and underlying mechanisms.

Fullerenols Mitigate Radiation-Induced Myocardial Injury

Radiation-induced heart disease is a serious side effect of radiation therapy that can lead to severe consequences. However, effective and safe methods for their prevention and treatment are presently lacking. This study reports the crucial function of fullerenols in protecting cardiomyocytes from radiation injury. First, fullerenols are synthesized using a simple base-catalyzed method. Next, the as-prepared fullerenols are applied as an effective free radical scavenger and broad-spectrum antioxidant to protect against X-ray-induced cardiomyocyte injury. Their ability to reduce apoptosis via the mitochondrial signaling pathway at the cellular level is then verified. Finally, it is observed in animal models that fullerenols accumulate in the heart and alleviate myocardial damage induced by X-rays. This study represents a timely and essential analysis of the prevention and treatment of radiological myocardial injury, providing new insights into the applications of fullerenols for therapeutic strategies.

A Hybrid Missing Data Imputation Method for Batch Process Monitoring Dataset

Batch process monitoring datasets usually contain missing data, which decreases the performance of data-driven modeling for fault identification and optimal control. Many methods have been proposed to impute missing data; however, they do not fulfill the need for data quality, especially in sensor datasets with different types of missing data. We propose a hybrid missing data imputation method for batch process monitoring datasets with multi-type missing data. In this method, the missing data is first classified into five categories based on the continuous missing duration and the number of variables missing simultaneously. Then, different categories of missing data are step-by-step imputed considering their unique characteristics. A combination of three single-dimensional interpolation models is employed to impute transient isolated missing values. An iterative imputation based on a multivariate regression model is designed for imputing long-term missing variables, and a combination model based on single-dimensional interpolation and multivariate regression is proposed for imputing short-term missing variables. The Long Short-Term Memory (LSTM) model is utilized to impute both short-term and long-term missing samples. Finally, a series of experiments for different categories of missing data were conducted based on a real-world batch process monitoring dataset. The results demonstrate that the proposed method achieves higher imputation accuracy than other comparative methods.

Introducing an Experimental Approach to Predict Spot Scanning Time Parameters for a Superconducting Cyclotron Proton Therapy Machine

PURPOSE/OBJECTIVE(S)

Proton pencil beam scanning (PBS) delivery sequence varies a lot among institutions due to the differences in vendors, machine types, and beamline configurations, which impacts PBS interplay effects and treatment delivery time estimation. This study aims to develop an independent experimental approach to predict the spot scanning time parameters for a clinical superconducting cyclotron proton therapy machine.

MATERIALS/METHODS

This independent experimental approach employed an open-air parallel-plate detector with a temporal resolution of 0.05ms. A series of spot, energy, and dose rate patterns were designed and delivered, including (1) Spot switching time (SSWT) under different spot spacing for IEC-X, IEC-Y directions and diagonal direction (traveling in both X and Y direction) for three energy layers (110, 170 and 230 MeV); The Wilcoxon test is used to validate the prediction of SSWT along the diagonal direction. (2) Energy layer switching time (ELST) with different descending energy gaps for a fixed initial energy and different initial energies for a fixed descending energy gap. (3) Dose rate (MU/min) are measured for different minimum-MU-per-energy-layer (MMPEL), which are compared with the previous publication.

RESULTS

A SSWT jump at 10mm (can be customized) spot spacing is observed because of triggering the machine's "raster mode" threshold. Discontinuous two variable piecewise linear functions were used to fit the SSWT in X/Y for spot spacing and energy. SSWT in X/Y is increasing as spot spacing and energy increase. SSWT in the diagonal direction is determined by the time either in the x-direction or y-direction, whichever takes longer (see Table 1 for one example of validations). ELST is linear depending on descending energy gap. The dose rate dependence on MMPEL is confirmed with previous publications of a similar type of machine.

CONCLUSION

The study provided the first independent quantitative experimental modeling of the beam delivery time parameters without any information from vendors. Such machine-specific delivery sequence models could pave the foundation of precise interplay effect evaluation for clinical decision-making.

Deep Learning-Based Dose Prediction Model for Automated Spot-Scanning Proton Arc Planning

PURPOSE/OBJECTIVE(S)

Spot-scanning proton arc (SPArc) is a novel technique that employs a planning optimization algorithm to select the energies and positions of spots along a dynamic rotational arc trajectory. The SPArc technique has the potential to achieve superior dose conformality and treatment delivery efficiency over intensity-modulated proton therapy. However, creating such a SPArc plan using existing approaches is time-consuming and computationally extensively. This study investigated the feasibility of using the deep learning (DL) technique to predict the 3D dose distribution of the SPArc treatment plan, leveraging the prior knowledge acquired from conventional intensity-modulated radiation therapy (IMRT) plans.

MATERIALS/METHODS

A DL model, 3D-Unet with residual connections and attention gates, was trained using an open-source database of CT images, critical structures, and IMRT plans from 340 head and neck cancer patients (HNC) as the base model. Transfer learning technique was applied to fine-tune the model parameters using the SPArc treatment plans created on the HNC patients from an in-house dataset, where the SPArc treatment plans (including control point sampling, energy layer distribution, arc trajectory, etc.,) were optimized using a previously developed iterative approach. The performance of the DL model was evaluated by comparing predicted and planned doses over 17 SPArc treatment plans by using 4-fold cross-validation.

RESULTS

The SPArc planning time per patient was 8∼12 hours, while the dose prediction time was reduced to 2∼3 minutes using the proposed DL model. The deviation of D95 in the target was (-1.8±1.6) %. The deviation of the mean dose in the parotids, cord, mandible, and brainstem were (2.5±6.5) %, (-0.5±4.3) %, (1.4±3.9) %, and (3.4±8) % of the prescription, respectively. The dice similarity coefficients of the 80%, 70%, and 60% isodose lines were (0.9±0.09), (0.93±0.01), and (0.94±0.01), respectively.

CONCLUSION

Our results demonstrate that a DL-based dose prediction model can be created with a limited number of SPArc treatment plans through transfer learning. The DL model can directly predict the 3D dose distribution in minutes for automated planning. This study paves the roadmap to develop a quick clinical decision platform for the optimal selection among the multi-treatment modalities.

A Novel Planning and Delivery Technology: Dose, Dose Rate and Linear Energy Transfer (LET) Optimization Based on Spot-Scanning Proton Arc Therapy FLASH (SPLASHLET)

PURPOSE/OBJECTIVE(S)

To achieve a high conformal dose with Linear Energy Transfer (LET) optimized FLASH proton therapy, we introduced a new planning and delivery technique concept, the voxel-wised optimization of LET distribution and dose rate based on scanning arc therapy (SPLASHLET) MATERIALS/METHODS: The algorithm optimizes (1) the clinical dose-volume constraint based on dose distribution and (2) the clinical LET-volume constraint based on LET distribution using Alternating Direction Method of Multipliers (ADMM) with Limited-memory BFGS solver by minimizing the monitor unit (MU) constraint on spot weight and (3) the effective dose-average dose rate by minimizing the accelerator's beam current sequentially. Such optimization framework enables the high dose conformal dynamic arc therapy with the capability of LET painting with voxel-based FLASH dose rate in an open-source proton planning platform (MatRad, Department of Medical Physics in Radiation Oncology, German Cancer Research Center-DKFZ). It aiming to minimize the overall cost function value combined with plan quality and voxel-based LET and dose rate constraints. Three representative cases (brain, liver and prostate cancer) were used for testing purposes. Dose-volume histogram (DVH), LET volume histogram (LVH) dose rate volume histogram (DRVH) and dose rate map were assessed compared to the original SPArc plan (SPArcoriginal).

RESULTS

SPLASHLET plan could offer comparable plan quality compared to SPArcoriginal plan. The DRVH results indicated that SPArcoriginal could not achieve FLASH using the clinic beam current configuration, while SPLASHLET could significantly not only improve V40Gy/s in target and region of interest (ROI) but also improve the mean LET in the target and reduce the high LET in organ at risk (OAR) in comparison with SPArcoriginal (Table 1).

CONCLUSION

SPLASHLET offers the first LET painting with voxel-based ultra-dose-rate and high-dose conformity treatment using proton beam therapy. Such technique has the potential to take full vantage of LET painting, FLASH and SPArc.

Mitigation of Dosimetric Uncertainty in MRI-Based Proton Planning Using Spot-Scanning Proton Arc (SPArc) Technique

PURPOSE/OBJECTIVE(S)

MRI-based synthetic CT (SCT) images created using generative adversarial network (GAN) have been demonstrated to be feasible for intensity-modulated proton therapy (IMPT) planning. However, dose calculation accuracy can be uncertain in some regions within/near the target of head and neck patients due to the local CT number estimation error or sharp dose fall-off. This study investigated the feasibility of using the SPArc technique to mitigate such dosimetric uncertainty.

MATERIALS/METHODS

A GAN using a 3D U-net as the generator and a 6-layer 3D convolutional neural network as the discriminator was trained with T1-weighted MR-CT image pairs from 162 nasopharyngeal carcinoma patients (14 for validation). The generator was used to generate SCT images from MR images for 7 test patients. For each test patient, the CT image was used to create a SPArc plan and an IMPT plan with the same clinical objectives. The SPArc plans (control point frequency sampling, arc trajectory, etc.) were optimized using a previously developed iterative approach. The dose distributions of both SPArc plans and IMPT plans were re-calculated on the SCT images and compared to the one calculated on the CT images. The dosimetric uncertainty was quantified using the gamma index.

RESULTS

The 2%/2mm and 3%/3mm passing rates for SPArc plans were (96.9¡À2.7) % and (98.6¡À1.5) %, while the passing rates for IMPT plans were (94.0¡À3.9) % and (96.4+2.9) %. A significant reduction in dosimetric uncertainty was identified for SPArc plans (p ¡Ü0.021). Table 1 shows the passing rates for the 7 test individuals.

CONCLUSION

SPArc can mitigate the uncertainty of dose calculation in MRI-based proton planning. Further research needs to validate these findings on a larger patient cohort. The study paves the road map for using MRI for SPArc planning.

Lung Toxicity and Molecular Mechanisms of Lead-Based Perovskite Nanoparticles in the Respiratory System

Lead-based perovskite nanoparticles (Pb-PNPs) have found extensive applications across diverse fields. However, because of poor stability and relatively strong water solubility, the potential toxicity of Pb-PNPs released into the environment during their manufacture, usage, and disposal has attracted significant attention. Inhalation is a primary route through which human exposure to Pb-PNPs occurs. Herein, the toxic effects and underlying molecular mechanisms of Pb-PNPs in the respiratory system are investigated. The in vitro cytotoxicity of CsPbBr3 nanoparticles in BEAS-2B cells is studied using multiple bioassays and electron microscopy. CsPbBr3 nanoparticles of different concentrations induce excessive oxidative stress and cell apoptosis. Furthermore, CsPbBr3 nanoparticles specifically recruit the TGF-β1, which subsequently induces epithelial-mesenchymal transition. In addition, the biodistribution and lung toxicity of representative CsPbBr3 nanoparticles in ICR mice are investigated following intranasal administration. These findings indicate that CsPbBr3 nanoparticles significantly induce pulmonary inflammation and epithelial-mesenchymal transition and can even lead to pulmonary fibrosis in mouse models. Above findings expose the adverse effects and molecular mechanisms of Pb-PNPs in the lung, which broadens the safety data of Pb-PNPs.

CsPbBr3 Perovskite Nanoparticles causes Colitis-Like Symptom via Promoting Intestinal Barrier Damage and Gut Microbiota Dysbiosis

Lead-based perovskite nanoparticles (Pb-PNPs) with superior optoelectronic properties are promising alternatives for the next generation of photovoltaics materials. This raises a great concern about their potential exposure toxicity in biological systems. However, little is known about their adverse effects on the gastrointestinal tract system so far. Here, the aim is to investigate the biodistribution, biotransformation, potential gastrointestinal tract toxicity, and effect on the gut microbiota after oral exposure to the CsPbBr3 perovskite nanoparticles (CPB PNPs). The advanced synchrotron radiation based microscopic X-ray fluorescence scanning and X-ray absorption near-edge spectroscopy demonstrate that high doses of CPB (CPB-H) PNPs can gradually transform into different lead-based compounds, subsequently accumulating in the gastrointestinal tract, especially the colon. Meanwhile, the pathological changes of stomach, small intestine, and colon reveal that CPB-H PNPs have higher gastrointestinal tract toxicity than Pb(Ac)2 , consequently leading to colitis-like symptoms. More importantly, 16S rRNA gene sequencing analysis discloses that CPB-H PNPs cause more significant alterations in the richness and diversity of the gut microbiota related to inflammation, intestinal barrier, and immune function than Pb(Ac)2 . The findings may contribute to shedding light on understanding the adverse effects on gastrointestinal tract and gut microbiota of Pb-PNPs.

FedRAD: Heterogeneous Federated Learning via Relational Adaptive Distillation

As the development of the Internet of Things (IoT) continues, Federated Learning (FL) is gaining popularity as a distributed machine learning framework that does not compromise the data privacy of each participant. However, the data held by enterprises and factories in the IoT often have different distribution properties (Non-IID), leading to poor results in their federated learning. This problem causes clients to forget about global knowledge during their local training phase and then tends to slow convergence and degrades accuracy. In this work, we propose a method named FedRAD, which is based on relational knowledge distillation that further enhances the mining of high-quality global knowledge by local models from a higher-dimensional perspective during their local training phase to better retain global knowledge and avoid forgetting. At the same time, we devise an entropy-wise adaptive weights module (EWAW) to better regulate the proportion of loss in single-sample knowledge distillation versus relational knowledge distillation so that students can weigh losses based on predicted entropy and learn global knowledge more effectively. A series of experiments on CIFAR10 and CIFAR100 show that FedRAD has better performance in terms of convergence speed and classification accuracy compared to other advanced FL methods.

CAMKK2 is upregulated in primary human osteoarthritis and its inhibition protects against chondrocyte apoptosis

OBJECTIVE

To investigate the role of calcium/calmodulin-dependent protein kinase kinase 2 (CAMKK2) in human osteoarthritis.

MATERIALS AND METHODS

Paired osteochondral plugs and articular chondrocytes were isolated from the relatively healthier (intact) and damaged portions of human femoral heads collected from patients undergoing total hip arthroplasty for primary osteoarthritis (OA). Cartilage from femoral plugs were either flash frozen for gene expression analysis or histology and immunohistochemistry. Chondrocyte apoptosis in the presence or absence of CAMKK2 inhibition was measured using flow cytometry. CAMKK2 overexpression and knockdown in articular chondrocytes were achieved via Lentivirus- and siRNA-mediated approaches respectively, and their effect on pro-apoptotic and cartilage catabolic mechanisms was assessed by immunoblotting.

RESULTS

CAMKK2 mRNA and protein levels were elevated in articular chondrocytes from human OA cartilage compared to paired healthier intact samples. This increase was associated with elevated catabolic marker matrix metalloproteinase 13 (MMP-13), and diminished anabolic markers aggrecan (ACAN) and type II collagen (COL2A1) levels. OA chondrocytes displayed enhanced apoptosis, which was suppressed following pharmacological inhibition of CAMKK2. Levels of MMP13, pSTAT3, and the pro-apoptotic marker BAX became elevated when CAMKK2, but not its kinase-defective mutant was overexpressed, whereas knockdown of the kinase decreased the levels of these proteins.

CONCLUSIONS

CAMKK2 is upregulated in human OA cartilage and is associated with elevated levels of pro-apoptotic and catabolic proteins. Inhibition or knockdown of CAMKK2 led to decreased chondrocyte apoptosis and catabolic protein levels, whereas its overexpression elevated them. CAMKK2 may be a therapeutic target to prevent or mitigate human OA.

Study on myocardial toxicity induced by lead halide perovskites nanoparticles

Lead halide perovskites (LHPs) are outstanding candidates for next-generation optoelectronic materials, with considerable prospects of use and commercial value. However, knowledge about their toxicity is scarce, which may limit their commercialization. Here, for the first time, we studied the cardiotoxicity and molecular mechanisms of representative CsPbBr3 nanoparticles in LHPs. After their intranasal administration to Institute of Cancer Research (ICR) mice, using advanced synchrotron radiation, mass spectrometry, and ultrasound imaging, we revealed that CsPbBr3 nanoparticles can severely affect cardiac systolic function by accumulating in the myocardial tissue. RNA sequencing and Western blotting demonstrated that CsPbBr3 nanoparticles induced excessive oxidative stress in cardiomyocytes, thereby provoking endoplasmic reticulum stress, disturbing calcium homeostasis, and ultimately leading to apoptosis. Our findings highlight the cardiotoxic effects of LHPs and provide crucial toxicological data for the product.

[Comparison of diagnostic performance of Clear Cell Likelihood Score v1.0 and v2.0 for clear renal cell carcinoma]

OBJECTIVE

To compare the performance of Clear Cell Likelihood Score (ccLS) v1.0 and v2.0 in diagnosing clear cell renal cell carcinoma (ccRCC) from small renal masses (SRM).

METHODS

We retrospectively analyzed the clinical data and MR images of patients with pathologically confirmed solid SRM from the First Medical Center of the Chinese PLA General Hospital between January 1, 2018, and December 31, 2021, and from Beijing Friendship Hospital of Capital Medical University and Peking University First Hospital between January 1, 2019 and May 17, 2021. Six abdominal radiologists were trained for use of the ccLS algorithm and scored independently using ccLS v1.0 and ccLS v2.0. Random- effects logistic regression modeling was used to generate plot receiver operating characteristic curves (ROC) to evaluate the diagnostic performance of ccLS v1.0 and ccLS v2.0 for ccRCC, and the area under curve (AUC) of these two scoring systems were compared using the DeLong's test. Weighted Kappa test was used to evaluate the interobserver agreement of the ccLS score, and differences in the weighted Kappa coefficients was compared using the Gwet consistency coefficient.

RESULTS

In total, 691 patients (491 males, 200 females; mean age, 54 ± 12 years) with 700 renal masses were included in this study. The pooled accuracy, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of ccLS v1.0 for diagnosing ccRCC were 77.1%, 76.8%, 77.7%, 90.2%, and 55.7%, as compared with 80.9%, 79.3%, 85.1%, 93.4%, 60.6% with ccLS v2.0, respectively. The AUC of ccLS v2.0 was significantly higher than that of ccLS v1.0 for diagnosis of ccRCC (0.897 vs 0.859; P < 0.01). The interobserver agreement did not differ significantly between ccLS v1.0 and ccLS v2.0 (0.56 vs 0.60; P > 0.05).

CONCLUSION

ccLS v2.0 has better performance for diagnosing ccRCC than ccLS v1.0 and can be considered for use to assist radiologists with their routine diagnostic tasks.

[Construction and biological characterization of a Proteus mirabilis strain with modABC gene deletion]

OBJECTIVE

To construct a modABC gene knockout strain of Proteus mirabilis and explore the effect of modABC gene deletion on biological characteristics of Proteus mirabilis.

METHODS

Fusion PCR was used to obtain the fusion gene of modABC and the kanamycin-resistant gene Kn, which was ligated with the suicide vector pCVD442 and transduced into Proteus mirabilis. The modABC gene knockout strain of Proteus mirabilis was obtained after homologous recombination with the suicide vector. PCR and Sanger sequencing were used to identify genomic deletion of modABC gene in the genetically modified strain. The concentration of molybdate in the wild-type and gene knockout strains was determined using inductively coupled plasma mass spectrometry (ICP-MS), and their survival ability in LB medium was compared under both aerobic and anaerobic conditions.

RESULTS

PCR and sanger sequencing confirmed genomic deletion of modABC gene in the obtained Proteus mirabilis strain. The concentration of intracellular molybdenum in the modABC gene knockout strain was 1.22 mg/kg, significantly lower than that in the wild-type strain (1.46 mg/kg, P < 0.001). Under the aerobic condition, the modABC gene knockout strain grown in LB medium showed no significant changes in survival ability compared with the wild-type strain, but its proliferation rate decreased significantly under the anaerobic condition and also when cultured in nitrate-containing LB medium under anaerobic condition.

CONCLUSION

Homologous recombination with the suicide vector can be used for modABC gene knockout in Proteus mirabilis. modABC gene participates in molybdate uptake and is associated with anaerobic growth of Proteus mirabilis in the presence of nitrate.

[Expert consensus on late stage of critical care management]

We wished to establish an expert consensus on late stage of critical care (CC) management. The panel comprised 13 experts in CC medicine. Each statement was assessed based on the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) principle. Then, the Delphi method was adopted by 17 experts to reassess the following 28 statements. (1) ESCAPE has evolved from a strategy of delirium management to a strategy of late stage of CC management. (2) The new version of ESCAPE is a strategy for optimizing treatment and comprehensive care of critically ill patients (CIPs) after the rescue period, including early mobilization, early rehabilitation, nutritional support, sleep management, mental assessment, cognitive-function training, emotional support, and optimizing sedation and analgesia. (3) Disease assessment to determine the starting point of early mobilization, early rehabilitation, and early enteral nutrition. (4) Early mobilization has synergistic effects upon the recovery of organ function. (5) Early functional exercise and rehabilitation are important means to promote CIP recovery, and gives them a sense of future prospects. (6) Timely start of enteral nutrition is conducive to early mobilization and early rehabilitation. (7) The spontaneous breathing test should be started as soon as possible, and a weaning plan should be selected step-by-step. (8) The waking process of CIPs should be realized in a planned and purposeful way. (9) Establishment of a sleep-wake rhythm is the key to sleep management in post-CC management. (10) The spontaneous awakening trial, spontaneous breathing trial, and sleep management should be carried out together. (11) The depth of sedation should be adjusted dynamically in the late stage of CC period. (12) Standardized sedation assessment is the premise of rational sedation. (13) Appropriate sedative drugs should be selected according to the objectives of sedation and drug characteristics. (14) A goal-directed minimization strategy for sedation should be implemented. (15) The principle of analgesia must be mastered first. (16) Subjective assessment is preferred for analgesia assessment. (17) Opioid-based analgesic strategies should be selected step-by-step according to the characteristics of different drugs. (18) There must be rational use of non-opioid analgesics and non-drug-based analgesic measures. (19) Pay attention to evaluation of the psychological status of CIPs. (20) Cognitive function in CIPs cannot be ignored. (21) Delirium management should be based on non-drug-based measures and rational use of drugs. (22) Reset treatment can be considered for severe delirium. (23) Psychological assessment should be conducted as early as possible to screen-out high-risk groups with post-traumatic stress disorder. (24) Emotional support, flexible visiting, and environment management are important components of humanistic management in the intensive care unit (ICU). (25) Emotional support from medical teams and families should be promoted through"ICU diaries"and other forms. (26) Environmental management should be carried out by enriching environmental content, limiting environmental interference, and optimizing the environmental atmosphere. (27) Reasonable promotion of flexible visitation should be done on the basis of prevention of nosocomial infection. (28) ESCAPE is an excellent project for late stage of CC management.

Adhesive Ergothioneine Hyaluronate Gel Protects against Radiation Gastroenteritis by Alleviating Apoptosis, Inflammation, and Gut Microbiota Dysbiosis

Radiation gastroenteritis represents one of the most prevalent and hazardous complications of abdominopelvic radiotherapy, which not only severely reduces patients' life quality but also restricts radiotherapy efficacy. However, there is currently no clinically available oral radioprotector for this threatening disease due to its complex pathogenesis and the harsh gastrointestinal environment. To this end, this study developed a facile but effective oral radioprotector, ergothioneine hyaluronate (EGT@HA) gel, protecting against radiation gastroenteritis by synergistically regulating oxidative stress, inflammation, and gut microbiota. In vitro and cellular experiments verified the chemical stability and free radical scavenging ability of EGT and its favorable cellular radioprotective efficacy by inhibiting intracellular reactive oxidative species (ROS) generation, DNA damage, mitochondrial damage, and apoptosis. At the in vivo level, EGT@HA with prolonged gastrointestinal residence mitigated radiation-induced gastrointestinal tissue injury, apoptosis, neutrophil infiltration, and gut flora dysbiosis. For the first time, this work investigated the protective effects of EGT@HA gel on radiation gastroenteritis, which not only hastens the advancement of the novel gastrointestinal radioprotector but also provides a valuable gastrointestinal radioprotection paradigm by synergistically modulating oxidative stress, inflammation, and gut microbiota disturbance.

A Thermopile-Based Gas Flow Sensor with High Sensitivity for Noninvasive Respiration Monitoring

In this work, a N/P polySi thermopile-based gas flow device is presented, in which a microheater distributed in a comb-shaped structure is embedded around hot junctions of thermocouples. The unique design of the thermopile and the microheater effectively enhances performance of the gas flow sensor leading to a high sensitivity (around 6.6 μV/(sccm)/mW, without amplification), fast response (around 35 ms), high accuracy (around 0.95%), and mood long-term stability. In addition, the sensor has the advantages of easy production and compact size. With such characteristics, the sensor is further used in real-time respiration monitoring. It allows detailed and convenient collection of respiration rhythm waveform with sufficient resolution. Information such as respiration periods and amplitudes can be further extracted to predict and alert of potential apnea and other abnormal status. It is expected that such a novel sensor could provide a new approach for respiration monitoring related noninvasive healthcare systems in the future.

Constructed Tumor-Targeted and MMP-2 Biocleavable Antibody Conjugated Silica Nanoparticles for Efficient Cancer Therapy

Antibody-drug conjugates (ADC) are an inevitable trend in the development of modern "precision medicine". The goal of this work is to produce enzyme-responsive antibody nanoparticle-loaded medication (FMSN-Dox-H2-AE01) based on the EGFR antibody (AE01) and human serum albumin (HSA) shelled mesoporous silica nanoparticles. HSA and antibodies on the surface of the particlescan not only enhance the biocompatibility of the particle and avoid early drug leakage but also allow selective biodegradation triggered by matrix metalloproteinase-2 (MMP-2), which are overexpressed enzymes in some tumor tissues. The cytotoxicity test confirmed favorable safety and efficacy of the ADC. The mortality rate of cancer cells is about 85-90%. Moreover, the antibody nanoparticle-loaded drug showed distinguishing controlled release efficiency toward cancer cells induced by different levels of MMP-2 and pH. This enzyme-responsive FMSN-Dox-H2-AE01 offers a promising option for cancer therapy.

[Study on protective effects and mechanisms of total glucosides of Paeony on Graves disease in BALB/c mice]

Objective: To investigate the protective effect and its immunoregulatory mechanism of Total Glucosides of Paeony (TGP) against Graves' Disease (GD) model on BALB/c mice. Methods: Fifty female (6 weeks old, weighing 16-18 g) BALB/c mice of specific pathogen free were divided into control group according to random number table method, model group, early low-dose TGP intervention group (250 mg·kg^-1·d^-1), early high-dose TGP intervention group (500 mg·kg^-1·d^-1), and late TGP intervention group, with 10 mice in each group. Except the control group, the other 4 groups were immunized 3 times (0, 3^rd, and 6^th week) with recombinant adenovirus expressing the thyroid stimulating hormone receptor (TSHR) A subunit to establish the GD model. The early low-dose and high-dose intervention group were given diets containing different doses of TGP throughout the whole process, and the late intervention group was given diets containing low doses of TGP from the 1^st week after the 2^nd immunization (week 4). The levels of thyrotropin receptor antibody (TRAb) and total thyroxine (TT4) were detected in the tail venous blood of mice at the 4^th week. At the 10^th week, the serum TRAb and TT4 levels and the ratio of regulatory T cells (Treg) in each group were detected, and the pathological changes of thyroid tissue were observed. Serum helper T cell 1(Th1) and Th2 cell-related factors interleukin-2 (IL-2), IL-4, IL-5, IL-10, IL-12p70, granulocyte-macrophage colony-stimulating factor (GM-CSF), interferon-γ (IFN-γ) and tumor necrosis factors-α (TNF-α) were detected to investigate the protective effect of TGP on GD model in BALB/c mice and its mechanism. Results: At the 4^th week, The level of TT4 [(55.07±12.89) μg/L] in early high-dose intervention group was lower than that in model group [(74.33±8.63) μg/L] (all P<0.05). The level of TT4 in early low-dose intervention group and late intervention group and model group had no statistical significance (all P>0.05). TRAb level of mice between early low-dose, early high-dose, late intervention groups and model group was no significant difference (all P>0.05). At the 10^th week, TRAb [(90.00±26.89) U/L] and TT4[(32.66±8.11) μg/L] levels in the early high-dose intervention group were lower than those in the model group [(396.97±95.35) U/L, (73.70±16.33) μg/L] (all P<0.05). The TRAb and TT4 levels in the early low-dose intervention group and late intervention group were not significantly different from those in the model group (all P>0.05). The thyroid tissue of hyperthyroidism mice in the early high dose intervention group showed focal hypertrophic changes, while the thyroid tissue of other hyperthyroidism mice showed diffuse hypertrophic changes. The CD4⁺CD25⁺/CD4⁺Treg ratio in early high-dose intervention group was higher than that in model group at the 10^th week (4 weeks after three recombinant adenovirus immunization) (P<0.05). Compared with the model group at the 10^th week, the levels of IL-2, IL-12p70 and IFN-γ in the early high-dose intervention group were all decreased (all P<0.05), and the levels of IL-10 were increased (P<0.05). Conclusion: Early high-dose (500 mg·kg^-1·d^-1) TGP intervention group displays a protective effect against GD mice, the mechanism of which may be related to regulatory T cell function changes and Th1/Th2 cytokine balance restoration.

Risk prediction of second primary malignancies in primary colorectal neuroendocrine neoplasms patients: a population-based study

PURPOSE

In this study, we aimed to identify risk factors for developing second primary malignancies (SPMs) in colorectal neuroendocrine neoplasms (NENs) patients and develop a competing-risk nomogram to predict SPMs' probabilities quantitatively.

METHODS

Patients with colorectal NENs were retrospectively collected from the Surveillance, Epidemiology, and End Results (SEER) database during 2000-2013. Potential risk factors for SPMs' occurrence in colorectal NENs' patients were identified by the Fine and Gray's proportional sub-distribution hazards model. Then, a competing-risk nomogram was constructed to quantify SPMs' probabilities. The discriminative abilities and calibrations of this competing-risk nomogram were assessed by the area under the receiver-operating characteristic (ROC) curves (AUC) and calibration curves.

RESULTS

We identified 11,017 colorectal NENs' patients, and randomly divided them into training (n = 7711 patients) and validation (n = 3306 patients) cohorts. In the whole cohort, 12.4% patients (n = 1369) had developed SPMs during the maximum follow-up of approximately 19 years (median 8.9 years). Sex, age, race, primary tumor location, and chemotherapy were identified as risk factors for SPMs' occurrence in colorectal NENs' patients. Such factors were selected to develop a competing-risk nomogram and showed excellent predictive ability for SPMs' occurrence (the 3-, 5-, and 10-year AUC values were 0.631, 0.632, and 0.629 in the training cohort and 0.665, 0.639, 0.624 in the validation cohort, respectively).

CONCLUSIONS

This research identified risk factors for SPMs' occurrence in colorectal NENs' patients. Competing-risk nomogram was constructed and proved to have good performance.

An Optimization Method of Production-Distribution in Multi-Value-Chain

Value chain collaboration management is an effective means for enterprises to reduce costs and increase efficiency to enhance competitiveness. Vertical and horizontal collaboration have received much attention, but the current collaboration model combining the two is weak in terms of task assignment and node collaboration constraints in the whole production-distribution process. Therefore, in the enterprise dynamic alliance, this paper models the MVC (multi-value-chain) collaboration process for the optimization needs of the MVC collaboration network in production-distribution and other aspects. Then a MVC collaboration network optimization model is constructed with the lowest total production-distribution cost as the optimization objective and with the delivery cycle and task quantity as the constraints. For the high-dimensional characteristics of the decision space in the multi-task, multi-production end, multi-distribution end, and multi-level inventory production-distribution scenario, a genetic algorithm is used to solve the MVC collaboration network optimization model and solve the problem of difficult collaboration of MVC collaboration network nodes by adjusting the constraints among genes. In view of the multi-level characteristics of the production-distribution scenario, two chromosome coding methods are proposed: staged coding and integrated coding. Moreover, an algorithm ERGA (enhanced roulette genetic algorithm) is proposed with enhanced elite retention based on a SGA (simple genetic algorithm). The comparative experiment results of SGA, SEGA (strengthen elitist genetic algorithm), ERGA, and the analysis of the population evolution process show that ERGA is superior to SGA and SEGA in terms of time cost and optimization results through the reasonable combination of coding methods and selection operators. Furthermore, ERGA has higher generality and can be adapted to solve MVC collaboration network optimization models in different production-distribution environments.

Tunable electronic properties and related functional devices for ferroelectric In2Se3/MoSSe van der Waals heterostructures

In recent years, two-dimensional (2D) materials have attracted increasing attraction in a number of scientific research fields. In particular, ferroelectric materials with reversible spontaneous electric polarization and Janus transition metal dichalcogenides (TMDs) with intrinsic dipoles exhibit novel properties for many practical applications. Here, the electronic properties of van der Waals (vdW) heterostructures consisting of In₂Se₃ and MoSSe were investigated based on a first-principles approach. It was demonstrated that four studied In₂Se₃/MoSSe heterostructures exhibited obvious band gap (E _g) differences, ranging 0.13 to 0.90 eV for PBE (0.47 to 1.50 eV for HSE06) owing to the reversible spontaneous electric polarization of In₂Se₃ and different intrinsic dipole of MoSSe, and different band alignments of type-I or type-II could also be obtained. The energy bands of the four vdW heterostructures could be obviously regulated by varying degrees of vertical (horizontal) strain and vertical interface electric field, and the E _g varied from zero to 1.27 eV. Then, M4-based mechanical switching devices and ferroelectric diodes were designed based on the significant strain and electric field function. These results provide one possible mechanism for how the polarization direction regulates the physical properties of the system due to the different charges on the two surfaces of the out-of-plane polarized ferroelectric material, which may lead to different proximity effects on the face of the material.

Synonymous mutations in TLR2 and TLR9 genes decrease COPD susceptibility in the Chinese Han population

INTRODUCTION

Previous studies have found associations between polymorphisms in some candidate genes and chronic obstructive pulmonary disease (COPD) risk. However, the association between TLR2 and TLR9 polymorphisms and COPD risk remains uncertain.

METHODS

Four variants (rs352140, rs3804099, rs3804100, and rs5743705) of the TLR2 and TLR9 genes in 540 COPD patients and 507 healthy controls were genotyped using the Agena MassARRAY system. Odds ratio (OR) and 95% confidence interval (CI) were calculated to assess the association of TLR2 and TLR9 polymorphisms with COPD risk by logistic regression analysis.

RESULTS

TLR9-rs352140, TLR2-rs3804100, and TLR2-rs5743705 were related to a lower risk of COPD among Chinese people and the significance still existed after Bonferroni correction. Additionally, rs3804099, rs3804100, and rs352140 were found to be associated with COPD development in different subgroups (males, age ≤ 68 years, smokers, BMI < 24 kg/m2, and acute exacerbation).

CONCLUSIONS

Our findings indicated that TLR9 and TLR2 polymorphisms had protective effects on the development of COPD among Chinese people.

Distributed Supervision Model for Enterprise Data Asset Trading Based on Blockchain Multi-Channel in Industry Alliance

Compared with traditional physical commodities, data are intangible and easy to leak, and the related trading process has problems, such as complex participating roles, lengthy information flow, poor supervisory coverage and difficult information traceability. To handle these problems, we construct a distributed supervision model for data trading based on blockchain, and conduct multi-party hierarchical and multi-dimensional supervision of the whole process of data trading through collaborative supervision before the event, at present and after the event. First, the characteristics of information flow in the data trading process are analyzed, and the main subject and key supervision information in the data trading process are sorted out and refined. Secondly, combined with the actual business process of data trading supervision, a multi-channel structure of distributed supervision is proposed by adopting an access-verification-traceability strategy. Finally, under the logical framework of the supervision model, the on-chain hierarchical structure and the data hybrid storage method of "on-chain + off-chain" are designed, and multi-supervisor-oriented hierarchical supervision and post-event traceability are realized through smart contracts. The results show that the constructed blockchain-based distributed supervision model of data trading can effectively isolate and protect sensitive and private information between data trading, so as to realize the whole process, multi-subject and differentiated supervision of key information of data trading, and provide an effective and feasible method for the controllable and safe supervision of data trading.

A Highly Accurate Method for Measuring Response Time of MEMS Thermopiles

The response time is an important parameter for thermopiles sensors, which reflects the response speed of the device. The accurate measurement of response time is extremely important to evaluate device characteristics for using them in suitable scenarios. In this work, to accurately measure the response time of thermopile sensors, an Al microheater is integrated in a MEMS thermopile as an in situ heat source. Compared with the traditional chopper measurement method for response time, this approach avoids mechanical delay induced by chopper blades. Accordingly, based on this approach, the response time of the device is measured to be 6.9 ms, while that is 12.7 ms when a chopping system is used, demonstrating that an error of at least 5.8 ms is avoided. Such an approach is quite simple to realize and provides a novel route to accurately measure the response time.

[A case report of SMILE for refractive regression nine years after myopia correction with laser in situ keratomileusis]

A myopic patient with self-reported photorefractive keratectomy 9 years ago requested small incision lenticule extraction (SMILE) as retreatment. The presence of interface bubbles while creating a corneal cap of the right eye revealed that the previous refractive surgery was laser in situ keratomileusis (LASIK). Therefore, the SMILE procedure was resumed in the right eye, but flap-lift LASIK was performed in the left eye. Postoperative follow-up showed that the vision in both eyes reached the preoperative best corrected level. SMILE may be a potential option for refractive regression after LASIK.

[Clinical characteristics and risk factors of lower extremity arterial disease in patients with diabetic foot ulcer]

OBJECTIVE

To investigate the clinical characteristics of lower extremity arterial disease (LEAD) and its risk factors in patients with diabetic foot ulcer (DFU).

METHODS

We retrospectively collected the clinical and follow-up data of 650 patients with DFU treated in the Department of Endocrinology and Metabolism of Nanfang Hospital between January, 2017 and December, 2019. We compared the data between patients who had LEAD and those without LEAD and used a multivariate logistic regression model to analyze the risk factors of LEAD in DFU patients.

RESULTS

Among the 650 DFU patients, 470 (72.4%) had LEAD. The patients were followed up for a mean of 3.5 months, and the mean healing time of DFU was 2.55 months; healing of DFU occurred in 453 patients and 183 patients received amputation. The patients with LEAD and those without LEAD differed significantly in age, hospitalization costs, diastolic blood pressure (DBP), glycated hemoglobin, blood lipid levels, disease course, ankle brachial index, healing time, smoking history, clinical outcomes, Wagner grade and imaging results (P < 0.05). Multivariate logistic regression analysis identified age (OR=1.070, 95% CI: 1.049-1.091), smoking history (OR= 2.013, 95% CI: 1.268-3.195), and a decreased DBP (OR=0.980, 95% CI: 0.963-0.997) as independent risk factors for LEAD in DFU patients. A prolonged healing time was a prominent clinical feature of DFU complicated by LEAD.

CONCLUSION

DFU patients have a high incidence of LEAD, which leads to high rates of disability and mortality and is associated with an advanced age, high smoking rate and longer healing time. A decreased DBP is also a risk factor for LEAD in DFU patients.

Bone marrow mesenchymal stem cells may attenuate lipopolysaccharide-induced liver injury via inhibiting the NLRP3 inflammasome and hepatocyte pyroptosis

BACKGROUND

The transplantation of bone marrow mesenchymal cells (BMSCs) has been shown to be an effective means of treating sepsis-related organ damage. Pytoptotic cell death, in turn, has recently been identified as a key driver of sepsis-related damage. At present, there are few studies on the effect of BMSC transplantation on pytoptotic cell death.

OBJECTIVE

We explored the ability of BMSCs to attenuate hepatic damage in a pyroptosis-related manner in a rat model of lipopolysaccharide (LPS)-induced liver injury.

METHODS

Following injury modeling and BMSC transplantation, we assessed the expression of the NLR family, pyrin domain containing 3 (NLRP3) inflammasome and key downstream pyroptosis-related signaling molecules.

RESULTS

It was found that BMSC transplantation was sufficient to significantly improve rat survival after LPS injection. Significantly reduced expression of the pyroptosis-related proteins NLRP3, caspase-1, IL-1β, and IL-18 in rats that had undergone BMSC transplantation compared to control animals. Notably, this activity was superior to single-agent administration of the NLRP3 inhibitor MCC950.

CONCLUSION

Our data suggest that BMSC transplantation may alleviate LPS-induced hepatic damage by suppressing the activation of the NLRP3 inflammasome and the induction of pyroptotic cell death.

[Effect and influence factors of cardiopulmonary resuscitation in children with congenital heart disease in pediatric intensive care unit]

Objective: To investigate the prognostic factors of children with congenital heart disease (CHD) who had undergone cardiopulmonary resuscitation (CPR) in pediatric intensive care unit (PICU) in China. Methods: From November 2017 to October 2018, this retrospective multi-center study was conducted in 11 hospitals in China. It contained data from 281 cases who had undergone CPR and all of the subjects were divided into CHD group and non-CHD group. The general condition, duration of CPR, epinephrine doses during resuscitation, recovery of spontaneous circulation (ROSC), discharge survival rate and pediatric cerebral performance category in viable children at discharge were compared. According to whether malignant arrhythmia is the direct cause of cardiopulmonary arrest or not, children in CHD and non-CHD groups were divided into 2 subgroups: arrhythmia and non-arrhythmia, and the ROSC and survival rate to discharge were compared. Data in both groups were analyzed by t-test, chi-square analysis or ANOVA, and logistic regression were used to analyze the prognostic factors for ROSC and survival to discharge after cardiac arrest (CA). Results: The incidence of CA in PICU was 3.2% (372/11 588), and the implementation rate of CPR was 75.5% (281/372). There were 144 males and 137 females with median age of 32.8 (5.6, 42.7) months in all 281 CPA cases who received CPR. CHD group had 56 cases while non-CHD had 225 cases, with the percentage of 19.9% (56/281) and 80.1% (225/281) respectively. The proportion of female in CHD group was 60.7% (34/56) which was higher than that in non-CHD group (45.8%, 103/225) (χ²=4.00, P=0.045). There were no differences in ROSC and rate of survival to discharge between the two groups (P>0.05). The ROSC rate of children with arthythmid in CHD group was 70.0% (28/40), higher than 6/16 for non-arrhythmic children (χ²=5.06, P=0.024). At discharge, the pediatric cerebral performance category scores (1-3 scores) of CHD and non-CHD child were 50.9% (26/51) and 44.9% (92/205) respectively. Logistic regression analysis indicated that the independent prognostic factors of ROSC and survival to discharge in children with CHD were CPR duration (odds ratio (OR)=0.95, 0.97; 95%CI: 0.92~0.97, 0.95~0.99; both P<0.05) and epinephrine dosage (OR=0.87 and 0.79, 95%CI: 0.76-1.00 and 0.69-0.89, respectively; both P<0.05). Conclusions: There is no difference between CHD and non-CHD children in ROSC and survival rate of survival to discharge was low. The epinephrine dosage and the duration of CPR are related to the ROSC and survival to discharge of children with CHD.

[Bone marrow mesenchymal stem cells attenuate pyroptosis lipopolysaccharide-induced renal injury rats]

OBJECTIVE

To investigate the effect and mechanism of bone marrow mesenchymal stem cell (BMSC) on pyroptosis of rats with kidney injury.

METHODS

Bone marrow of 4-5 week-old female Sprague-Dawley (SD) rats was isolated in vitro and BMSC was obtained. The third generations of BMSC were used to further experiments. Fifteen 6 week-old SD rats were cluster-randomized divided into control group, kidney injury group and BMSC group (5 rats in each group). Rats in kidney injury group were injected with lipopolysaccharide (LPS) 1 mg/kg via tail vein; the control group was given the same amount of normal saline. BMSC group was injected with 0.5 mL BMSC (including 2×10⁶ BMSC) via tail vein after modeling; the kidney injury group received the same amount of normal saline. On day 3 after these injections, serum creatinine (SCr) was detected by picric acid method, and blood urea nitrogen (BUN) was detected by diacetyl monoxime. The levels of cystatin C (Cys C), interleukins (IL-1β and IL-18) in blood were detected by enzyme-linked immunosorbent assay (ELISA). The rats were then sacrificed and their kidneys were removed for subsequent detection. The mRNA expression levels of NOD-like receptor protein 3 (NLRP3) and cysteinyl aspartate-specific protease-1 (caspase-1) of kidney were detected by quantificational real-time quantitative polymerase chain reaction (qRT-PCR). The protein expression levels of NLRP3 and caspase-1 of kidney were detected by Western blotting.

RESULTS

In vitro, after bone marrow cell suspension was cultured for 24 hours, a large number of round adherent cells and suspended cells appeared in each culture flask. After 4-5 days of culture, a large number of long spindle cells adhered to the wall, and there were still obvious impurity cells. After trypsin digestion and passage to the third generation, the long spindle adherent cells grew mainly in the culture flask and were basically purified as BMSC. In vivo, compared with the control group, the levels of SCr, BUN, Cys C, IL-1β and IL-18 in kidney injury group were increased [SCr (μmol/L): 85.22±2.29 vs. 21.80±0.59, BUN (mmol/L): 11.50±0.64 vs. 5.86±0.83, Cys C (mg/L): 0.13±0.01 vs. 0.11±0.02, IL-1β (ng/L): 31.49±1.42 vs. 4.74±0.49, IL-18 (ng/L): 29.01±1.95 vs. 1.52±0.03, all P < 0.05]. The mRNA and protein expression levels of NLRP3, caspase-1 were significantly increased [NLRP3 mRNA (2^-ΔΔCt): 3.635±0.296 vs. 1.000±0.002, caspase-1 mRNA (2^-ΔΔCt): 4.020±0.228 vs. 1.001±0.003; NLRP3 protein (NLRP3/β-actin): 1.560±0.868 vs. 0.902±0.036, caspase-1 protein (caspase-1/β-actin): 1.392±0.097 vs. 0.895±0.046, all P < 0.05]. Compared with kidney injury group, the levels of SCr, BUN, IL-1β and IL-18 in BMSC group were significantly decreased [SCr (μmol/L): 51.64±3.84 vs. 85.22±2.29, BUN (mmol/L): 9.90±0.46 vs. 11.50±0.64, IL-1β (ng/L): 24.20±1.45 vs. 31.49±1.42, IL-18 (ng/L): 12.97±1.25 vs. 29.01±1.95, all P < 0.05]. The mRNA and protein expression levels of NLRP3, caspase-1 were significantly decreased [NLRP3 mRNA (2^-ΔΔCt): 1.488±0.136 vs. 3.635±0.296, caspase-1 mRNA (2^-ΔΔCt): 1.643±0.143 vs. 4.020±0.228; NLRP3 protein (NLRP3/β-actin): 1.227±0.053 vs. 1.560±0.868, caspase-1 protein (caspase-1/β-actin): 1.159±0.107 vs. 1.392±0.097, all P < 0.05].

CONCLUSIONS

In vivo, BMSC may attenuate pyroptosis in LPS-induced kidney injury rats.

[The value of myocardial work in detecting the reduction of left ventricular global systolic function in acute myocardial infarction patients with preserved ejection fraction]

Objective: To investigate the diagnosis value of myocardial work (MW) in evaluating left ventricular global systolic function among acute myocardial infarction (AMI) patients with preserved ejection fraction (LVEF). Methods: This study was a diagnostic trial in a prospective case-control design. AMI patients with preserved LVEF were enrolled as AMI(LVEF>50%) group and age and sex-matched healthy individuals undergoing healthy checkup in our hospital were collected as control group. Two-dimensional dynamic images, including standard apical two-chamber, long-axis and four-chamber views in 3 consecutive cardiac cycles were acquired. General clinical data, routine echocardiography and myocardial work parameters were obtained from all subjects. The indices were compared between the two groups. Intra-observer and inter-observer repeatability of myocardial work parameters were evaluated by intra-group correlation coefficient (ICC). Receiver operator characteristic (ROC) curve was used to determine the diagnostic value of global constructive work (GCW), global wasted work (GWW), global work efficiency (GWE) and global work index (GWI) on the reduction of left ventricular global systolic function in AMI(LVEF>50%) group. Results: There were 30 patients in AMI(LVEF>50%) group, the age was (67.3±9.7)years, and 14 cases were female(46.7%). Thirty participants were included in the control group, the age was (68.1±8.6)years, and 12 cases were female (40.0%). Compared with the control group, left ventricular end-diastolic diameter (LVEDD), left ventricular end-systolic diameter (LVESD), interventricular septum thickness (IVSD), left ventricular end-diastolic volume (LVEDV), left ventricular end-systolic volume (LVESV), peak early diastolic velocity of mitral orifice/tissue Doppler velocity of posterior mitral annulus (E/e), left ventricular mass (LVM), left ventricular mass index (LVMI) were significantly higher, while E and e values were significantly lower in AMI (LVEF>50%) group (all P<0.05). Compared with the control group, GCW ((1 145.9±440.1)mmHg% (1 mmHg=0.133 kPa) vs. (1 425.7±355.4)mmHg%), GWE ((80.9±9.5)% vs. (87.3±5.5)%), GWI ((1 001.3±416.2)mmHg% vs. (1 247.6±341.7)mmHg%) and the absolute value of long axis integral strain (GLS) ((8.5±3.4)% vs. (11.4±3.7)%) were significantly lower, while peak strain dispersion(PSD)((101.3±66.4)ms vs. (74.7±31.9)ms) was significantly higher in AMI(LVEF>50%) group (P all<0 05). There was no significant difference in GWW((177.2±71.1)mmHg% vs. (155.7±64.6)mmHg%) between the two groups (P>0.05). The reproducibility of GCW, GWW, GWE and GWI within and between observers were satisfactory (all ICC>0.75). ROC curve analysis showed that all four parameters, GCW, GWW, GWE, and GWI, could be used for the diagnosis of reduced left ventricular systolic function in patients with AMI (LVEF>50%), and their areas under the ROC curve were 0.896,0.929,0.808,0.862. Conclusion: Myocardial work assessment is valuable on diagnosing left ventricular global systolic function reduction in AMI patients with preserved LVEF.

Resveratrol protects renal damages induced by periodontitis via preventing mitochondrial dysfunction in rats

OBJECTIVES

Periodontitis is closely associated with kidney disease and reactive oxygen species (ROS) involvement. Mitochondria are the primary source of both endogenous ROS and renal energy. We investigated whether resveratrol (RSV) prevents renal injury and mitochondrial dysfunction in periodontitis rats.

METHODS

Thirty male Wistar rats were divided into control, experimental periodontitis (Ep), and Ep-RSV groups. To induce periodontitis, a steel ligature was placed on the cervix of the bilateral first maxillary molars. RSV (50 mg/kg/d) to the Ep-RSV group and vehicle to the Ep and control groups were gavaged. After 8 weeks, alveolar bone loss, pocket depth, gingival blood index, and tooth mobility were assessed. Oxidative stress parameters, mitochondrial structure, mitochondrial membrane potential (MMP), mitochondrial ROS, adenosine triphosphate (ATP), sirtuin 1 (SIRT1), and peroxisome proliferator-activated receptor-γ coactivator-1α (PGC-1α) were analysed in renal. Renal function and histology were also evaluated.

RESULTS

Compared with the control group, the Ep group showed renal structural destruction, elevated oxidative stress levels, mitochondrial structure destruction, MMP loss, mitochondrial ROS accumulation, ATP reduction, and decreased SIRT1 and PGC-1α levels. RSV prevented these destruction (p < .05). However, there was no significant impairment in renal function (p > .05).

CONCLUSIONS

Periodontitis induced mitochondrial dysfunction in renal tissues. Resveratrol exerts a preventive effect on periodontitis-induced kidney injury by preventing mitochondrial dysfunction.