ObjectiveTo explore the scientific connotation of fried charcoal survivability of Lonicerae Japonicae Flos（LJF） by analyzing the correlation between the color change and the intrinsic components during the processing of LJF Carbonisata（LJFC）， and taking pH， charcoal adsorption and microscopic characteristics as indexes. MethodLJFC samples with different degrees of processing were prepared according to the stir-frying time of 0.0， 1.5， 3.0， 4.5， 6.0， 7.5， 9.0， 10.5 min（numbered S1-S8）， and the contents of gallic acid， chlorogenic acid， cryptochlorogenic acid， rutin， luteoloside， isochlorogenic acid A and isochlorogenic acid C were determined by high performance liquid chromatography（HPLC）， and the L^*（brightness）， a^*（red-greenness） and b^*（yellow-blueness） of LJFC samples with different degrees of processing were determined by spectrophotometer， and the correlation analysis and principal component analysis（PCA） between the contents of seven representative components and the color of the samples were carried out by SPSS 26. 0 and SIMCA-P 14.1. Then pH， adsorption force and characteristic structure of different samples of LJFC were detected and the processing pattern of LJFC was analyzed. ResultThe results of quantitative analysis revealed that the contents of luteoloside， rutin， chlorogenic acid and isochlorogenic acid A gradually decreased， and the contents of cryptochlorogenic acid， isochlorogenic acid C and gallic acid firstly increased and then decreased. The L^* and b^* of the sample powders decreased， and a^* showed a trend of increasing and then decreasing. The L^* and b^* were positively correlated with the contents of chlorogenic acid， rutin， luteoloside， isochlorogenic acid A， b^* was positively correlated with the content of gallic acid， and a^* was positively correlated with the contents of cryptochlorogenic acid and isochlorogenic acid C. PCA revealed that samples could be clearly divided into 3 groups， S1-S2 as one group， S3-S5 as one group， and S6-S8 as one group， with S3 having the highest score. The results of regression analysis showed that only isochlorogenic acid C could be used to predict the contents of components by colorimetric values combined with regression equations. Physicochemical analysis showed that pH of LJFC increased with the increase of degree of charcoal stir-frying， while adsorption force showed a tendency of increasing and then decreasing， with the highest adsorption force in the S5 sample， and the non-glandular hairs， calcium oxalate clusters and pollen grains had a varying degree of decreasing with the deepening of processing degree， and the microstructures of S6-S8 samples were obviously charred with pollen grains almost invisible. ConclusionThe changes in chemical composition and color characteristics of LJFC during the processing have certain correlations， combined with the changes in physicochemical properties， S5 sample is found to be the optimal processed products， which can provide a reference for the processing standardization and quality evaluation of LJFC， and enrich the scientific connotation of fried charcoal survivability of LJF.

ObjectiveExisting artificial vision devices can be divided into two types: implanted devices and extracorporeal devices, both of which have some disadvantages. The former requires surgical implantation, which may lead to irreversible trauma, while the latter has some defects such as relatively simple instructions, limited application scenarios and relying too much on the judgment of artificial intelligence (AI) to provide enough security. Here we propose a system that has voice interaction and can convert surrounding environment information into tactile commands on head and neck. Compared with existing extracorporeal devices, our device can provide a larger capacity of information and has advantages such as lower cost, lower risk, suitable for a variety of life and work scenarios. MethodsWith the latest remote wireless communication and chip technologies, microelectronic devices, cameras and sensors worn by the user, as well as the huge database and computing power in the cloud, the backend staff can get a full insight into the scenario, environmental parameters and status of the user remotely (for example, across the city) in real time. In the meanwhile, by comparing the cloud database and in-memory database and with the help of AI-assisted recognition and manual analysis, they can quickly develop the most reasonable action plan and send instructions to the user. In addition, the backend staff can provide humanistic care and emotional sustenance through voice dialogs. ResultsThis study originally proposes the concept of “remote virtual companion” and demonstrates the related hardware and software as well as test results. The system can not only achieve basic guide functions, for example, helping a person with visual impairment to shop in supermarkets, find seats at cafes, walk on the streets, construct complex puzzles, and play cards, but also can meet the demand for fast-paced daily tasks such as cycling. ConclusionExperimental results show that this “remote virtual companion” is applicable for various scenarios and demands. It can help blind people with their travels, shopping and entertainment, or accompany the elderlies with their trips, wilderness explorations, and travels.

Radioactive contamination can occur during nuclear accidents, loss of radioactive sources and the use of radiation for photography, disinfection and detection. When the human body is accidentally contaminated by radionuclides, radionuclides can cause harm to the human body through inhalation, ingestion, direct transdermal absorption and contaminated wounds into body tissues and organs. In the treatment of radionuclide contamination in vivo, the main way is decorporation therapy, which mainly uses specific decorporation agents to selectively bind radionuclides to form stable non-toxic complexes, thereby preventing their deposition in the body, accelerating excretion, and reducing the total accumulation of radionuclides in human tissues. At present, internal radionuclide decorporation agents promote the release of radionuclides from the body mainly by stopping the entry of radionuclides into the body, ion exchange, chelation, and binding of exportants to carriers. But recent studies have found that lysosomal exocytosis, the natural clearing function of activated cells, also has a significant exportation effect. In this paper, we first introduced and analyzed the mechanism and research status of radionuclide decorporation agents that have been used in clinical practice, such as the blocking effect of potassium iodide, the ion exchange effect of Prussian blue, the chelation effect of DTPA, and the urine alkalinization effect of sodium bicarbonate. The second part introduces the mechanism and research status of promising radionuclide decorporation agents. Among them, 3,4,3-LI (1,2-HOPO) and 5-LIO (Me-3,2-HOPO) are the most promising ones and have been approved for phase I clinical trials. Others such as catecholamines, polyethyleneimine and fullerenes are also being studied with great potential. Polyethyleneimine, as a biological macromolecular chelator, has more chelating sites and stronger targeting effects than small molecule chelators, and has achieved a real breakthrough in decorporation. Fullerenes are known as “free radical sponges” with good free radical scavenging ability and antioxidant properties. In recent years, biomaterials have been widely used in the field of radionuclide decorporation, which has greatly improved the decorporation efficiency. Chitosan and pectin have shown great advantages in promoting radionuclide decorporation, chitosan can adsorb metal ions through electrostatic interaction and chelation, and can also react with free radicals to remove free radicals generated after radionuclides enter the body. Pectin can promote uranium efflux, but the exact mechanism remains unclear. Liposomes and nanomaterials as carriers enhance the intracellular drug delivery, prolong the retention time of drugs in the body, reduce adverse reactions, and make the traditional efflux enhancers glow with new vitality and have good development prospects. The last part summarizes and looks forward to the future research direction of radionuclide decorporation agents. At present, the research on decorporation agents at home and abroad is mostly stuck in the stage of drug development and drug synthesis, and few have actually entered the clinical trial stage. Therefore, the optimization of existing decorporation agents and the development of new ligands are critical. The targeting, biological safety, oral availability, and treatment needs of large-scale contamination scenarios are still the focus of attention. In addition, from the point of view of the mechanism itself, it is a new idea to promote the emission of radionuclides by activating potential channels, which can be continuously explored.

Objective:To explore the diagnostic value of 18F-FDG PET/CT imaging in etiology of patients with hemophagocytic lymphohistiocytosis (HLH). Methods:Retrospective analysis was performed on 49 patients newly diagnosed as HLH (32 males, 17 females; age 19-61 years) who received 18F-FDG PET/CT imaging in Affiliated Hospital of Jining Medical University from January 2017 to January 2023. PET/CT images and clinical parameters were observed and recorded. Based on the pathological examination and clinical follow-up results, diagnostic efficacies for HLH etiology of PET/CT, PET and CT imaging were calculated. χ2 test, independent-sample t test and Mann-Whitney U test were used to compare the differences between hematologic tumors associated HLH and non-hematologic tumor associated HLH. Multivariate logistic regression was used to analyze the predictors of secondary HLH in hematologic tumors. ROC curve analysis was used to calculate AUCs and optimal threshold of lymph node SUV max and soluble CD25 (sCD25) to predict secondary HLH in patients with hematologic tumors. Results:The sensitivity, specificity, accuracy, positive predictive value and negative predictive value of PET/CT, PET and CT in the etiological diagnosis of HLH were 85.7%(30/35), 8/10, 84.4%(38/45), 93.8%(30/32), 8/13; 77.1%(27/35), 6/10, 73.3%(33/45), 87.1%(27/31), 6/14; 62.9%(22/35), 5/10, 60.0%(27/45), 81.5%(22/27), 5/18, respectively. There were differences in lymph node distribution and boundary, liver and spleen and bone lesions, SUV max of lymph node and liver and spleen and bone, gender, age, WBC, neutrophil (ANC), PLT, lactate dehydrogenase (LDH), total bilirubin (TBIL), C-reactive protein (CRP) and sCD25 between different etiology groups ( χ2 values: 3.91-9.66, t values: 3.75-7.90, z values: 3.82-4.01, all P<0.05). SUV max of lymph nodes and sCD25 were predictive factors for secondary HLH of hematological tumors (odds ratio ( OR): 1.28 (95% CI: 1.09-1.72), 1.56 (95% CI: 1.17-2.49), P values: 0.004, 0.013). The optimal thresholds were 12.6 and 40 028 ng/L, with the AUC of 0.87 and 0.76, with the sensitivity and specificity of 88.6%(31/35) and 8/10, 65.7%(23/35) and 7/10, respectively. The combined AUC was 0.83 and the sensitivity and specificity were 74.3% (26/35) and 9/10. Conclusions:18F-FDG PET/CT imaging is of high value for the diagnosis of the cause of HLH. SUV max of lymph node and sCD25 are predictive factors for secondary HLH of hematologic tumors.

Deep vein thrombosis(DVT)is a common peripheral vascular disease in clinical practice.The lack of precise and efficient early diagnostic techniques renders it susceptible to being overlooked or misdiagnosed,and therefore,identifying trustworthy biomarkers is a major issue that has to be resolved.In this study,the endogenous metabolites in the urine of DVT rats were screened by metabolomics technology based on gas chromatograph-mass spectrometry(GC-MS)and the characteristic metabolites were identified by multiple feature selection algorithms and multivariate statistical analysis,for the development of a machine learning-based diagnostic model for DVT.The urine samples in metabolic cage in the thrombus development phase(between 48 and 72 h)of rats were collected,which was used as the models for inferior vena cava ligation.The metabolic profiles of the control group and DVT were obtained using the GC-MS method.A total of 176 kinds of endogenous metabolites were identified in rat urine through comparison with the FiehnLib database,26 kinds of differential metabolites associated with DVT were screened through a combination of the Mann-Whitney U test and orthogonal partial least squares discriminant analysis(OPLS-DA),and 13 kinds of significant metabolites strongly correlated with DVT were further evaluated in conjunction with various machine learning feature selection techniques.For DVT diagnosis,machine learning models such as Gaussian Naive Bayes(GNB),support vector machine(SVM),logistic regression(LR),and linear discriminant analysis(LDA)were developed.The diagnostic model constructed using 13 kinds of key metabolites demonstrated excellent accuracy and stability,and surpassed the predictive performance of the models utilizing 176 kinds of metabolites and 26 kinds of differential metabolites,as evidenced by examination and comparison of each model's efficacy.The study showed that the integration of multiple feature selection algorithms for analyzing metabolite information in DVT rat urine was capable of effectively identifying reliable potential markers of DVT.Furthermore,the developed machine learning model offered a novel technical approach for the automated diagnosis of DVT.

Objective To investigate the distribution and antimicrobial susceptibility of clinically isolated bacteria from intensive care units(ICUs)in hospitals of Hunan Province Antimicrobial Resistance Surveillance System from 2012 to 2021.Methods According to China Antimicrobial Resistance Surveillance System,data of clinically isolated bacterial strains and antimicrobial susceptibility testing results of bacteria from ICUs reported by all member units of Hunan Province Antimicrobial Resistance Surveillance System were analyzed with WHONET 2022 software.Results From 2012 to 2021,the total number of bacteria isolated from ICUs of member units of the Hunan Province Antimi-crobial Resistance Surveillance System was 5 777-22 369,with Gram-negative bacteria accounting for 76.1％-78.0％annually.Staphylococcus aureus ranked first among isolated Gram-positive bacteria each year.The top 5 bacteria among Gram-negative bacteria were Acinetobacter baumannii,Klebsiella pneumoniae,Escherichia coli,Pseudo-monas aeruginosa,and Stenotrophomonas maltophilia.Detection rate of methicillin-resistant Staphylococcus aureus showed a downward trend year by year.No Staphylococcus spp.were found to be resistant to vancomycin,teico-planin and linezolid.Detection rates of vancomycin-resistant Enterococcus faecalis and vancomycin-resistant Entero-coccus faecium were 0.6-1.1％and 0.6％-2.2％,respectively.Resistance rates of Escherichia coli and Kleb-siella pneumoniae to imipenem were 3.1％-5.7％and 7.7％-20.9％,respectively.Resistance rates of Pseudo-monasaeruginosa and Acinetobacter baumannii to imipenem were 24.6％-40.1％and 76.1％-80.9％,respective-ly.Detection rates of carbapenem-resistant Pseudomonas aeruginosa declined year by year.Acinetobacter baumannii maintained high susceptibility to polymyxin B,with resistance rate＜10％.Conclusion Antimicrobial resistance of bacteria from ICUs is serious.Carbapenem-resistant Enterobacteriales has an upward trend after 2019.It is nece-ssary to strengthen the surveillance of bacterial resistance and carry out multidisciplinary collaboration.

Background: Diabetes-induced cardiac fibrosis is one of the main mechanisms of diabetic cardiomyopathy. As a common histone methyltransferase, enhancer of zeste homolog 2 (EZH2) has been implicated in fibrosis progression in multiple organs. However, the mechanism of EZH2 in diabetic myocardial fibrosis has not been clarified. Methods: In the current study, rat and mouse diabetic model were established, the left ventricular function of rat and mouse were evaluated by echocardiography and the fibrosis of rat ventricle was evaluated by Masson staining. Primary rat ventricular fibroblasts were cultured and stimulated with high glucose (HG) in vitro. The expression of histone H3 lysine 27 (H3K27) trimethylation, EZH2, and myocardial fibrosis proteins were assayed. Results: In STZ-induced diabetic ventricular tissues and HG-induced primary ventricular fibroblasts in vitro, H3K27 trimethylation was increased and the phosphorylation of EZH2 was reduced. Inhibition of EZH2 with GSK126 suppressed the activation, differentiation, and migration of cardiac fibroblasts as well as the overexpression of the fibrotic proteins induced by HG. Mechanical study demonstrated that HG reduced phosphorylation of EZH2 on Thr311 by inactivating AMP-activated protein kinase (AMPK), which transcriptionally inhibited peroxisome proliferator-activated receptor γ (PPAR-γ) expression to promote the fibroblasts activation and differentiation. Conclusion Our data revealed an AMPK/EZH2/PPAR-γ signal pathway is involved in HG-induced cardiac fibrosis.

【Objective】 To explore the characteristics of white matter degeneration in amyotrophic lateral sclerosis (ALS) patients with different onset and spreading patterns by using diffusion tensor imaging (DTI). 【Methods】 We enrolled 86 ALS patients and 44 healthy controls. The patients were divided into bulbar- and spinal-onset subgroups according to their onset site, as well as horizon, vertical, interpose/skip, and caudal-rostral subgroups based on the spreading direction of the involved regions. The white matter fiber tracts corresponding to the motor network were set as the region of interest. We used tract-based spatial statistics to evaluate differences between the above groups and the normal controls, with family-wise error (FWE) correction and P<0.05 as statistical significance. 【Results】 The white matter degeneration of ALS patients with bulbar onset was mainly limited to the corona radiation part of the corticospinal tract, while those with spinal onset showed extensive degeneration of corticospinal tract and corpus callosum Ⅲ area (FWE correction, P<0.05). In patients with horizontal and vertical dissemination, decreased integrity of the entire corticospinal tract was found, with patients in the latter group showed extra degeneration in the Ⅲ part of the corpus callosum. Restricted degeneration of the corticospinal tract within bilateral corona radiata was detected in patients with caudal-rostral and interposed/skip spreading pattens (FWE correction, P<0.05). 【Conclusion】 Different onset and disease spread patterns of ALS patients correspond to divergent brain degeneration patterns. The diagnosis, treatment, and management of ALS should fully consider the heterogeneity of the disease.

【Objective】 To investigate cortical thickness changes in the face-head region of the primary motor cortex (PMC) and its effect on survival in amyotrophy lateral sclerosis (ALS) patients. 【Methods】 A retrospective analysis was performed on 105 ALS patients who underwent head MRI scan at the same time. The A4hf (face-head) region of PMC was used as the region of interest (ROI). According to clinical symptoms, patients were divided into two groups: bulbar involvement and non-bulbar involvement. The differences of clinical features and cortical thickness in ROI were analyzed. According to the symptoms of bulbar palsy, physical examination of nervous system and EMG of tongue muscle, the patients with bulbar palsy were divided into lower motor neuron (LMN), upper motor neuron (UMN) and LMN+UMN groups. The differences of bulbar subgroup score and ROI of cortical thickness were analyzed. Age at onset, body mass index, delayed time of diagnosis, bulbar subgroup score, and ROI cortical thickness were included in survival analysis. 【Results】 ① The ROI cortical thickness was significantly lower in bulbar involvement group than non-bulbar involvement group (-0.198±0.87 vs. 0.235±0.95, P=0.017). ② There were no significant differences in the bulbar subgroup scores or cortical thickness of ROI between LMN, UMN and LMN+UMN groups (P>0.05). ③ Survival analysis showed age of onset (HR=3.296, 95% CI:1.63-6.664, P=0.001), delayed time of diagnosis (HR=0.361, 95% CI:0.184-0.705, P=0.003), bulbar subgroup score (HR 0.389, 95% CI:0.174-0.868, P=0.021), and ZRE_ROI cortical thickness (HR=2.309, 95% CI:1.046-5.096, P=0.038) were independent influencing factors of ALS survival. 【Conclusion】 Cortical thickness in A4hf (face-head) region can more objectively reflect UMN signs of region bulbar. In addition to age of onset and delayed time of diagnosis, bulbar subgroup score and cortical thickness of face-head region are also independent influencing factors, and cortical thinning in face-head region is a protective factor for survival of ALS patients.

【Objective】 To investigate changes in thalamus structure and function and their associations with cognitive impairment in patients with amyotrophic lateral sclerosis (ALS). 【Methods】 3D high-resolution structural imaging and resting-state fMRI were applied in 78 ALS patients and 49 healthy volunteers. The shape of the thalamus was assessed using a vortex analysis and functional connectivity between the thalamus subregion and cortex was evaluated by a seed-based correlation analysis. Partial correlation analysis was used to evaluate the correlation between focal thalamus alterations and clinical assessments. 【Results】 Compared with the control group, vertex analysis showed significant atrophy in the prefrontal and temporal subregions of bilateral thalamus in the ALS group. Patients exhibited increased functional connectivity of motor-sensory ROI with the right motor cortex, of temporal ROI with the bilateral lateral occipital cortex, precuneus and right temporal subregion. In contrast, decreased function connectivity was found mainly between temporal ROI and paracingulate gyrus, left dorsomedial prefrontal lobe and left caudate. Partial correlation analysis showed that the functional connectivity of the precuneus, paracingulate cortex, left caudate nucleus and left prefrontal lobe was correlated with multiple cognitive performances. 【Conclusion】 Selective damage of thalamic structure and function in ALS plays an important role in cognitive and behavioral disorders.