[Objective] To investigate the infection status and characteristics of HEV among voluntary blood donors in Ningbo, and to provide a basis for improving the blood screening strategy. [Methods] A total of 12 227 blood samples from voluntary blood donors in Ningbo from June 2022 to May 2023 were tested for HEV serology, enzymology, and nucleic acid testing. Furthermore, HEV gene sequencing was performed for genotyping analysis, and donors with reactive nucleic acid testing results were followed up to confirm their infection status. [Results] The reactivity rate of HEV Ag, anti-HEV IgM and anti-HEV IgG was 0.098%, 0.899% and 29.198%, respectively. There was no difference in the reactivity of anti-HEV IgM and anti-HEV IgG between genders, donation frequencies and donation types (P>0.05). The reactivity rate increased significantly with age (P<0.05). The rate of ALT disqualification (ALT>50U/L) was significantly higher than that in non-reactive samples (P<0.05). The HEV Ag reactivity rate (0.098%) was not correlated with gender, donation frequency, donation type or age. One HEV RNA positive case was found, with a positive rate of 0.008%(1/12 227). It was confirmed to be hepatitis E virus genotype 3 by sequencing analysis. Apart from HEV Ag reactivity, all other blood safety screening items were non-reactive, suggesting this case might be in the acute infection phase. The follow-up results showed that all indicators of the donor's previous blood donation were non-reactive. [Conclusion] Pre-donation ALT detection can reduce the risk of transfusion-transmitted HEV (TT-HEV) to a certain extent, and the effective way to prevent TT-HEV is to detect HEV RNA and serology of donor blood.

Objective To develop and validate a deep learning model for automatic identification of liver CT contrast-enhanced phases.Methods A total of 766 patients with liver CT contrast-enhanced images were retrospectively collected.A three-phase classification model and an arterial phase(AP)classification model were developed,so as to automatically identify liver CT contrast-enhanced phases as early arterial phase(EAP)or late arterial phase(LAP),portal venous phase(PVP),and equilibrium phase(EP).In addition,221 patients with liver CT contrast-enhanced images in 5 different hospitals were used for external validation.The annotation results of radiologists were used as a reference standard to evaluate the model performances.Results In the external validation datasets,the accuracy in identifying each enhanced phase reached to 90.50%-99.70%.Conclusion The automatic identification model of liver CT contrast-enhanced phases based on residual network may provide an efficient,objective,and unified image quality control tool.

BACKGROUND:Graphene is the thinnest,strongest,and toughest type of two-dimensional new crystal material,demonstrating significant advantages in biomedical applications.Angiogenesis and vascularization of bone are key factors in tissue repair and regeneration,and are effective ways to address vascular and osteogenic issues. OBJECTIVE:To review the characteristics and mechanisms of graphene and its derivatives in promoting angiogenesis activity and vascularizing bone,in order to provide a reference for their clinical application in vascular tissue repair and regeneration. METHODS:Using a computer to search for relevant literature included in PubMed,ScienceDirect,CNKI,and Wanfang databases,the Chinese search terms were"grapheme","angiogenesis,vascularization","vascularized bone",and"endothelial cells",while the English search terms were"graphene""angiogenesis OR vascularization""vascularized bone""endothelial cells".After excluding literature unrelated to the topic of the article,according to the inclusion and exclusion criteria,62 articles were ultimately included for result analysis. RESULTS AND CONCLUSION:(1)At present,graphene oxide has been studied more and is the most widely used in graphene and its derivatives.(2)Graphene and its derivatives are suitable for heart,bone,nerve,and wound healing related diseases.(3)Graphene and its derivatives have excellent physical and chemical properties and biological properties,but they have potential cytotoxicity.We should pay attention to its biological safety in application.(4)The application of graphene and its derivatives requires further research to demonstrate the optimal size and concentration and measures to reduce toxicity.(5)On the cellular level,graphene and its derivatives can promote angiogenic activity by tip endothelial cell phenotype,mesenchymal stem cell adhesion and proliferation, and vascular smooth muscle cell growth.(6)On the molecular level,graphene and its derivatives can increase the expression of vascular endothelial growth factor,basic fibroblast growth factor,hepatocyte growth factor and activate reactive oxygen species/nitric oxide synthase/nitric oxide signaling pathway,lysophosphatilate R6/Hippo-YAP pathway,stromal cell-derived factor-1/vascular endothelial growth factor and ZEB 1/Notch1 pathway.(7)Grapheme oxide and graphene oxide-copper phosphorylated extracellular regulatory protein kinase and activated hypoxia-inducible factor-1,thereby promoting the up-regulation of vascular endothelial growth factor and bone morphogenetic protein-2 expression,and promoting angiogenesis and vascularized bone.(8)In summary,graphene and its derivatives,especially graphene oxide,have great application prospects in the repair and regeneration of vascularized tissues due to their excellent biological properties,good angiogenesis and vascularized bone ability.

OBJECTIVES: Spinal cord ischemia-reperfusion injury (SCIRI) remains a major challenge in the field of organ protection due to the lack of effective prevention and therapeutic strategies. Hyperglycemia, a common perioperative condition, contributes to neurological injury via multiple mechanisms. However, its role and underlying mechanism in SCIRI are still unclear. This study aims to investigate the involvement of the precursor of brain-derived neurotrophic factor (proBDNF) in hyperglycemia-induced SCIRI in mice. METHODS: Eight-week-old male C57BL/6 mice were randomly assigned to a control group (Vehicle) or a diabetes mellitus (DM) group. The DM group was established using intraperitoneal injection of streptozotocin (STZ) combined with 10% sucrose water. The Vehicle group received an equal volume of 50 mmol/L sodium citrate buffer (pH 4.5). Fasting blood-glucose levels ≥11.1 mmol/L were considered successful DM modeling. Both Vehicle and DM groups underwent SCIRI modeling via descending aortic clamping, while the Sham group underwent a sham procedure without aortic occlusion. Lower limb motor function was assessed using the Basso Mouse Scale (BMS) and its subscale (sub-BMS). Locomotor activity was evaluated using an open field test. Immunohistochemistry was performed to detect changes in neuronal nuclear protein (NeuN) and proBDNF expression in spinal cord tissues. Real-time reverse transcription polymerase chain reaction (RT-PCR) was used to measure mRNA expression of interleukin-1β (IL-1β), interleukin-6 (IL-6), and tumor necrosis factor-α (TNF-α). To explore the effect of proBDNF inhibition, diabetic mice were divided into groups: A DM+SCIRI+monoclonal anti-proBDNF antibody (McAb-proB) group received an intraperitoneal injection of 100 μg of McAb-proB 30 minutes before SCIRI modeling, and a DM+SCIRI+Vehicle group received an equal amount of isotype immunoglobulin G. BMS and sub-BMS scores were recorded, and the gene expression of inflammatory cytokines mentioned above were evaluated. RESULTS: Compared with the Vehicle+SCIRI group, the DM+SCIRI group showed significantly reduced BMS and sub-BMS scores, decreased NeuN expression, shorter total movement distance, slower locomotion, increased proBDNF expression, and elevated IL-1β, IL-6, and TNF-α mRNA levels (all P<0.05 or P<0.01). Compared with the DM+SCIRI+Vehicle group, the DM+SCIRI+McAb-proB group exhibited significantly improved BMS and sub-BMS scores and decreased mRNA expression of IL-1β, IL-6, and TNF-α (all P<0.05 or P<0.01). CONCLUSIONS Hyperglycemia exacerbates neural injury and inflammatory response in SCIRI through upregulation of proBDNF expression, delaying motor functional recovery. Antagonizing proBDNF expression can alleviate neurological damage and promote functional recovery in diabetic mice after SCIRI.
Animals ; Male ; Hyperglycemia/metabolism* ; Brain-Derived Neurotrophic Factor/genetics* ; Mice, Inbred C57BL ; Reperfusion Injury/metabolism* ; Mice ; Diabetes Mellitus, Experimental/metabolism* ; Inflammation/metabolism* ; Disease Models, Animal ; Spinal Cord/metabolism* ; Tumor Necrosis Factor-alpha/metabolism* ; Protein Precursors/genetics* ; Spinal Cord Ischemia/metabolism* ; Interleukin-6/metabolism* ; Interleukin-1beta/metabolism*

Objective:To analyze the difference of clinical characteristics and outcomes of infants with moderate and severe pediatric acute respiratory distress syndrome(PARDS)diagnosed according to baseline oxygenation index(OI) in pediatric intensive care unit(PICU).Methods:Second analysis of the data collected from the "Efficacy of pulmonary surfactant (PS) in the treatment of children with moderate and severe ARDS" program.Retrospectively compare of the differences in clinical data such as general condition, underlying diseases, OI, mechanical ventilation, PS administration and outcomes among infants with moderate and severe PARDS divided by baseline OI who admitted to PICUs at 14 participating tertiary hospitals from 2016 to December 2021.Results:Among the 101 cases, 55 cases (54.5%) were moderate and 46 cases (45.5%) were severe PARDS.The proportion of male in the severe group (50.0% vs.72.7%, P=0.019) and the pediatric critical illness score(PCIS)[72 (68, 78) vs.76 (70, 80), P=0.019] were significantly lower than those in the moderate group, while there was no significant difference regarding age, body weight, etiology of PARDS and underlying diseases.The utilization rate of high-frequency ventilator in the severe group was significantly higher than that in the moderate group (34.8% vs.10.9%, P=0.004), but there was no significant difference in PS use, fluid load and pulmonary complications.The 24 h OI improvement (0.26±0.33 vs.0.04±0.34, P=0.001) and the 72 h OI improvement[0.34 (-0.04, 0.62) vs.0.15 (-0.14, 0.42), P=0.029)]in the severe group were significantly better than those in the moderate group, but there was no significant difference regarding mortality, length of hospital stay and intubation duration after diagnosis of PARDS between the two groups. Conclusion:In moderate and severe(divided by baseline OI) PARDS infants with invasive mechanical ventilation, children in severe group have better oxygenation improvement in the early stage after PARDS identified and are more likely to receive high frequency ventilation compared to those in moderate group.Baseline OI can not sensitively distinguish the outcomes and is not an ideal index for PARDS grading of this kind of patient.

Objective:To investigate the risk factors of surgical site infection (SSI) after colorectal surgery, and to establish and validate a risk prediction model nomogram.Methods:An observational study was conducted to retrospectively collect data of 6527 patients aged ≥16 years who underwent colorectal surgery in 56 domestic hospitals from March 1, 2021 to February 28, 2022 from the national Surgical Site Infection Surveillance network. The incidence of SSI after surgery was 2.3% (149/6527). According to the ratio of 7:3, 6527 patients were randomly divided into the modeling cohort (4568 cases) and the validation cohort (1959 cases), and there was no statistically significant difference between the two datasets ( P>0.05). Univariate analysis was performed using t test /Mann-Whitney U test /χ 2 test. Multivariate analysis was performed using binary logistic regression to establish a preliminary model and select variables using Lasso analysis to establish an optimized model nomogram. The discrimination and calibration of the model were evaluated by ROC curve, calibration curve, and Hosmer-Lemeshow test. AUC value>0.7 is considered a good discrimination of the model. The Bootstrap method (repeated self-sampling 1000 times) was used to verify the constructed model internally and externally to evaluate the accuracy of the constructed model. Results:Multivariate analysis showed that history of chronic liver disease (OR=3.626, 95%CI: 1.297-10.137, P<0.001) and kidney disease (OR=1.567,95%CI:1.042-2.357, P=0.038), surgical antibiotic prophylaxis (OR=1.564, 95%CI:1.038-2.357, P=0.035), and emergency surgery (OR=1.432,95%CI: 1.089-1.885, P=0.021), open surgery (OR=1.418, 95%CI:1.045-1.924, P=0.042), preoperative stoma (OR=3.310, 95%CI:1.542-7.105, P<0.001), postoperative stoma (OR=2.323,95%CI: 1.537-8.134, P<0.001), surgical incision type above grade II (OR=1.619,95%CI:1.097-2.375, P=0.014), and each unit increase in total bilirubin (OR=1.003,95%CI:-0.994-1.012, P=0.238), alanine aminotransferase (OR=1.006, 95%CI:1.001-1.011, P=0.032), blood urea nitrogen (OR=1.003,95%CI:0.995-1.011, P=0.310), blood glucose (OR=1.024, 95%CI:1.005-1.043, P=0.027), C-reactive protein (OR=1.007, 95%CI:1.003-1.011, P<0.001), length of incision (OR=1.042, 95%CI:1.002-1.087, P=0.031), surgical duration (OR=1.003,95%CI:1.001-1.005, P=0.017), and surgical blood loss (OR=1.001,95%CI: 1.000-1.002, P=0.045) were risk factors for SSI after colorectal surgery. Each unit increase in albumin level (OR=0.969,95%CI:0.941-0.998, P=0.036) was an independent protective factor for SSI after colorectal surgery. The area under the curve of the optimized model obtained by internal and external validation were 0.768 (95%CI: 0.723-0.813) and 0.753 (95%CI: 0.680-0.832), respectively. The predicted value of the calibration curve was basically consistent with the actual value. Conclusions:The risk prediction model for SSI after colorectal surgery constructed in this study has good discrimination and calibration. The nomogram created in this model can provide an evaluation basis for the observed rate and expected event rate of SSI after clinical colorectal surgery.

Objective:To investigate the risk factors of surgical site infection (SSI) after colorectal surgery, and to establish and validate a risk prediction model nomogram.Methods:An observational study was conducted to retrospectively collect data of 6527 patients aged ≥16 years who underwent colorectal surgery in 56 domestic hospitals from March 1, 2021 to February 28, 2022 from the national Surgical Site Infection Surveillance network. The incidence of SSI after surgery was 2.3% (149/6527). According to the ratio of 7:3, 6527 patients were randomly divided into the modeling cohort (4568 cases) and the validation cohort (1959 cases), and there was no statistically significant difference between the two datasets ( P>0.05). Univariate analysis was performed using t test /Mann-Whitney U test /χ 2 test. Multivariate analysis was performed using binary logistic regression to establish a preliminary model and select variables using Lasso analysis to establish an optimized model nomogram. The discrimination and calibration of the model were evaluated by ROC curve, calibration curve, and Hosmer-Lemeshow test. AUC value>0.7 is considered a good discrimination of the model. The Bootstrap method (repeated self-sampling 1000 times) was used to verify the constructed model internally and externally to evaluate the accuracy of the constructed model. Results:Multivariate analysis showed that history of chronic liver disease (OR=3.626, 95%CI: 1.297-10.137, P<0.001) and kidney disease (OR=1.567,95%CI:1.042-2.357, P=0.038), surgical antibiotic prophylaxis (OR=1.564, 95%CI:1.038-2.357, P=0.035), and emergency surgery (OR=1.432,95%CI: 1.089-1.885, P=0.021), open surgery (OR=1.418, 95%CI:1.045-1.924, P=0.042), preoperative stoma (OR=3.310, 95%CI:1.542-7.105, P<0.001), postoperative stoma (OR=2.323,95%CI: 1.537-8.134, P<0.001), surgical incision type above grade II (OR=1.619,95%CI:1.097-2.375, P=0.014), and each unit increase in total bilirubin (OR=1.003,95%CI:-0.994-1.012, P=0.238), alanine aminotransferase (OR=1.006, 95%CI:1.001-1.011, P=0.032), blood urea nitrogen (OR=1.003,95%CI:0.995-1.011, P=0.310), blood glucose (OR=1.024, 95%CI:1.005-1.043, P=0.027), C-reactive protein (OR=1.007, 95%CI:1.003-1.011, P<0.001), length of incision (OR=1.042, 95%CI:1.002-1.087, P=0.031), surgical duration (OR=1.003,95%CI:1.001-1.005, P=0.017), and surgical blood loss (OR=1.001,95%CI: 1.000-1.002, P=0.045) were risk factors for SSI after colorectal surgery. Each unit increase in albumin level (OR=0.969,95%CI:0.941-0.998, P=0.036) was an independent protective factor for SSI after colorectal surgery. The area under the curve of the optimized model obtained by internal and external validation were 0.768 (95%CI: 0.723-0.813) and 0.753 (95%CI: 0.680-0.832), respectively. The predicted value of the calibration curve was basically consistent with the actual value. Conclusions:The risk prediction model for SSI after colorectal surgery constructed in this study has good discrimination and calibration. The nomogram created in this model can provide an evaluation basis for the observed rate and expected event rate of SSI after clinical colorectal surgery.

OBJECTI VE To explore the effects of total flavonoids of Bidens polisa L.（TFB）on insulin resistance （IR）of HepG2 cells. METHODS B. polisa L. was refluxed and extracted with 80％ ethanol to obtain TFB. Palmitic acid was used to induce IR mode of HepG 2 cells in vitro . The effects of low-concentration ，medium-concentration and high-concentration （20，40， 80 mg/L） of TFB on the consumption of glucose were investigated. Using metformin as positive control ，the effects of low-concentration，medium-concentration and high-concentration （20，40，80 mg/L）of TFB on the protein expression of insulin receptor substrate- 1（IRS-1），c-Jun N-terminal kinase （JNK）and protein kinase C （PKC）were investigated. Molecular docking technology was used to explore the interaction between eight main active components of TFB such as quercetin ，quercitrin and IRS-1，JNK and PKC proteins. RESULTS The glucose consumption of TFB low-concentration ，medium-concentration and high-concentration groups were increased significantly （P＜0.05 or P＜0.01）. Compared with normal group ，the expression of IRS-1 and JNK protein in the model group decreased significantly ，and the expression of PKC protein increased significantly （P＜ 0.01）. Compared with model group ，the protein expression of IRS- 1 and JNK could up-regulated while the protein expression of PKC down-regulated in TFB low-concentration ，medium-concentration and high-concentration groups and metformin positive control group （P＜0.05 or P＜0.01）. The score of molecular docking energy between maritimetin in TFB and IRS- 1 protein was －7.9 kcal/mol（1 kcal＝4.816 kJ）. The scores of molecular docking energy of maritimetin ，rutin and JNK protein were －9.3 kcal/mol. The score of molecular docking energy between quercitrin and PKC protein was －4.9 kcal/mol. Interactions between components and proteins included forming hydrogen bonds ，hydrophobic bonds and so on. CONCLUSIONS TFB can significantly improve IR of HepG 2 cells，the mechanism of which may be related to the regulation of protein expression of IRS ，JNK and PKC. Maritimetin，rutin and quercitrin may be potential active ingredients for improving IR.

Objective:To investigate the effect of melatonin (MEL) influence on lipopolysaccharide (LPS)-induced long-term anxiety-like behavior and activation of astrocytes in septic neonatal rats.Methods:Sprague-Dawley rats were randomly(random number) assigned to the control group, LPS group and LPS+MEL group. Sepsis model was intraperitoneally injected with LPS (1 mg/kg), and neonatal rats in the MEL group were administered with MEL (10 mg/kg) 30 min after LPS injection. At different time points after injection, rats in each group were divided into three subgroups: 3 d, 7 d and 28 d. The expression of GFAP and TNF-α in the corpus callosum was detected by immunofluorescence staining and Western blot. Open-field test was applied to observe anxiety-like behaviors. In vitro, cultured neonatal SD rat astrocytes were divided into the control group, LPS group, LPS+MEL group, and LPS+MEL+luzindole group. Immunofluorescence staining was used to observe the expression of GFAP and TNF-α. Expression of GFAP, TNF-α, p-NF-κBp65, NF-κBp65 protein in astrocytes were assessed by Western blot. RT-qPCR was used to investigate the mRNA expression of GDNF and BDNF. One-way ANOVA and two-way ANOVA were used for comparison of multiple groups of variables. A P<0.05 was considered statistically significant. Results:LPS reduced the duration of movement in the central area and distance in the central area/total distance in open-field test, while melatonin evidently reversed the LPS-induced anxiety-like behavior. Compared with the LPS group, the expressions of GFAP and TNF-α were significantly decreased in the corpus callosum at 3 d and 7 d in the MEL group ( P< 0.05). Compared with the LPS group, MEL could significantly decrease the expression of GFAP, TNF-α and p-NF-κBp65 in astrocytes ( P< 0.05), which could be blocked by Luzindole. In addition, compared with the LPS group, MEL pretreatment could reverse the down regulation of GDNF and BDNF induced by LPS ( P<0.05). Conclusions:MEL can relieve LPS-induced long-term anxiety-like behavior in septic neonatal rats. The mechanism may be related to the inhibition of astrocyte activation and inflammatory reaction through NF - κ B pathway.

Physiological parameters monitoring is essential to direct medical staff to evaluate, diagnose and treat critical patients quantitatively. ECG, blood pressure, SpO2, respiratory rate and body temperature are the basic vital signs of patients in the ICU. The measuring methods are relatively mature at present, and the trend is to be wireless and more accurate and comfortable. Hemodynamics, oxygen metabolism and microcirculation should be taken seriously during the treatment of acute critical patients. The related monitoring technology has made significant progress in recent years, the trend is to reduce the trauma and improve the accuracy and usability. With the development of machine vision and data fusion technology, the identification of patient behavior and deterioration has become hot topics. This review is focused on current parameters monitoring technologies, aims to provide reference for future related research.
Humans ; Intensive Care Units ; Monitoring, Physiologic ; Oxygen Saturation ; Technology ; Vital Signs