ObjectiveTo explore the role of neuroimaging features monitored by functional near-infrared spectroscopy （fNIRS） in postoperative delirium （POD） in elderly patients undergoing joint replacement during perioperative period， and to provide a basis for early clinical prediction. MethodsA total of 105 elderly patients who underwent joint replacement under general anesthesia were included. The Mini-Mental State Examination （MMSE） scale was used to evaluate the patient's cognition one day before the operation. Before the start of the surgery， fNIRS was used to monitor the changes of cerebral blood oxygen saturation when the patient performed the task state. The 3-minute delirium diagnostic scale （3D-CAM scale） was used to evaluate the occurrence of POD at 24， 48 and 72 h after operation. Brain network analysis was performed and Logistic regression analysis was used to explore the relationship between fNIRS monitoring data and POD in elderly patients undergoing joint replacement surgery during preoperative task state. The receiver operating characteristic curve （ROC curve） was constructed to evaluate the diagnostic efficacy， and the Hosmer-Lemeshow goodness-of-fit test was used to test the goodness of fit of the model. ResultsAmong 105 patients， 100 cases were effectively analyzed， of which 20 cases （20%） had POD. Brain network analysis showed that the r value of functional connectivity correlation coefficient in POD group （0.069±0.118） was lower than that in non-POD group （0.073±0.084）. The low channel connectivity of right primary somatosensory cortex-right primary motor cortex （RS1-RM1） and left anterior pole-right Broca's triangle （LFP-RBA44） was an important factor affecting the occurrence of POD （P < 0.05）. Based on this result， the area under the ROC curve was 0.797 and 0.784， respectively. The results of Hosmer-Lemeshow goodness-of-fit test showed that the model fitted well （all P>0.5）. ConclusionThe neuroimaging features extracted from the cerebral oxygen saturation data monitored by fNIRS are significantly correlated with the risk of POD in elderly patients undergoing joint replacement during perioperative period. Among them， the low connectivity of preoperative RS1-RM1 and LFP-RBA44 brain network channels is an important influencing factor of POD occurrence. Predicting the occurrence of POD based on fNIRS is conducive to the early intervention and risk reduction of perioperative complications， improving medical quality and promoting precision medical practice.

Objective:To perform routine plasma test, SARS-CoV-2 nucleic acid test, and respiratory pathogenic microorganism nucleic acid test on plasma samples collected from 1 040 healthy plasma donors in winter.Methods:Plasma samples were collected from 1 040 healthy plasma donors at Yunmeng Plasma Collection Station in the winter of 2020. Routine plasma test, HBV/HCV/HIV nucleic acid test, SARS-CoV-2 nucleic acid test, and 22 respiratory pathogenic microorganism nucleic acid test were performed to analyze the quality of blood plasmas.Results:All plasma samples were qualified in the routine tests, meeting the requirements of the Chinese Pharmacopoeia, and tested negative for SARS-CoV-2 nucleic acid. Respiratory pathogenic microorganism nucleic acids were detected in 29 samples with a positive rate of 2.79% (29/1 040). There were 21 cases of simple virus infections, including 17 cases of coronavirus subtype infection, three cases of parainfluenza virus type 2 infection, and one case of human bocavirus infection. Eight cases were mixed infections of viruses and bacteria, four of which were viral infection combined with Bordetella pertussis. The 29 positive samples were collected from people of different age groups, including two from 31-40 years old (1.96%, 2/102 ), three from 41-50 years old (1.59%, 3/189), five from 51-55 years old (1.94%, 5/257), and 19 from 56-60 years old (4.59%, 19/414). Samples from the people aged 56-60 years accounted for the most (39.81%, 414/1 040), as well as the infection rate in this age group. Conclusions:In autumn and winter, respiratory pathogenic microorganism nucleic acid test should be performed when collecting plasma samples from donors aged 56-60 years in addition to meeting the requirements of the Chinese Pharmacopoeia. It is also suggested to conduct respiratory pathogenic microorganism nucleic acid test on pooled plasma and blood products.

Objective In this study,the gas exchange performance and impact patterns of microalgae culture based on hollow fiber membrane technology were investigated for the culture of space microalgae.Methods The effects of parameters and conditions such as gas flow rate,membrane area and liquid flow rate on the CO2 fixation efficiency and fixation rate of hollow fiber membrane modules were studied,and the gas exchange performance of different parameters were compared by fitting formula.Results The gas flow rate and membrane area have a significant effect on the gas exchange performance of the module.With the increase of gas flow rate,the fixation rate of CO2 increases at first and then stabilizes,and the fixation efficiency of CO2 shows a continuous downward trend;with the increase of membrane area,the fixation rate and fixation efficiency of CO2 increase significantly,while the liquid flow rate has no significant effect on the gas exchange performance of the module.The highest CO2 fixation rate was 168.24 mg/(L·h)when the membrane area was 0.3m2 and the gas flow rate was 2.0 L/min.Conclusion The use of hollow fiber membrane technology can solve the problem of two-phase flow management in the gas exchange between algae culture and atmosphere,which has a better effect on gas exchange,and can provide reference for the design of gas exchange module of space microalgae photobioreactor.

Objective To investigate the correlation between peripheral blood CD14+CD16+monocytes and IgG N-glycosyl levels and disease activity in patients with systemic lupus erythematosus(SLE).Methods A total of 109 SLE patients admitted to Xingtai Cental Hospital from August 2021 to November 2024 were retrospectively selected as the study objects.According to SLE disease activity index(SLE-DAI),the patients were divided into active group(n=52)and stable group(n=57).In addition,56 patients who underwent physical examination during the same period were selected as the control group.Clinical data of patients were collected,CD14+CD16+mononuclear cells were detected by flow cytometry(FCM),and IgG N-glycosyl levels were detected by hydrophilic interaction chromatography-mass spectrometry.Logistic regression analysis was performed to analyze the influencing factors of SLE-DAI,and multicollinearity test[variance inflation factor(VIF)]was performed for independent variables.The prediction model of disease activity was constructed.The effectiveness of the predictive model was evaluated by describing the recviver operator characteristic(ROC)curve and calculating the area under the curve(AUC)value.Hosmer-Lemeshow goodness-of-fit test predicted the calibration degree of the model.Results The levels of WBC,Hb,PLT,ALB,complement C3 and complement C4 in control group were higher than those in SLE group(t=8.917～22.171),and the levels of CRP were lower than those in SLE group(t=-17.359),with differences were statistical significance(all P<0.05).The CRP level and the proportion of CD14+CD16+mononuclear cells in the active group were higher than those in the stable group,and the differences were statistically significant(t=5.449,11.112,all P<0.05).The IgG glycosylation characteristics of galactosylation,sialylation and N-acetylglucosamine modification were lower than those in the stable group,and the differences were statistical significance(Z=-2.432～-0.158,all P<0.05).Spearman correlation analysis showed that the proportion of CD14+CD16+monocytes was significantly negatively correlated with IgG galactosylation,sialylation level and bisection N-acetylglucosamine modification(r=-0.656,-0.531,-0.608,all P<0.01).CD14+CD16+monocyte ratio was positively correlated with SLE-DIA(r=0.581,all P<0.01).IgG galactosylation,sialylation levels and bisection N-acetylglucosamine modification were negatively correlated with SLE-DIA(r=-0.645,-0.609,-0.503,all P<0.01).Logistic regression analysis showed that CRP>8.21mg/L,CD14+CD16+≥16.17%,sialylation<22.05%and isotropic N-acetylglucosamine modification<16.53%were independent risk factors for disease activity in SLE patients(Wald χ2=4.471～12.811,all P<0.05).The VIF values of the above independent variables were all less than 10.By establishing the Logistic regression prediction model and drawing the ROC curve,the AUC value for diagnosing SLE disease activity was 0.821(95%CI:0.733～0.905),the sensitivity,specificity and the Yodon index were 85.37%,75.67%,0.677,respectively.and the P values of Hosmer-Lemeshow goodness-of-fit test models were 0.568,respectively.Conclusion The proportion of CD14+CD16+monocytes in peripheral blood of SLE patients increase significantly,and the level of IgG glycosylation characteristics decrease,both of which are correlated with SLE-DIA.The predictive model constructed based on the two had a good ability to distinguish SLE-DIA from inactive state,with high sensitivity and moderate specificity conducive to early clinical recognition,and the model fitting effect is good.SLE-DIA can be evaluated more accurately.

Objective To investigate the correlation between peripheral blood CD14+CD16+monocytes and IgG N-glycosyl levels and disease activity in patients with systemic lupus erythematosus(SLE).Methods A total of 109 SLE patients admitted to Xingtai Cental Hospital from August 2021 to November 2024 were retrospectively selected as the study objects.According to SLE disease activity index(SLE-DAI),the patients were divided into active group(n=52)and stable group(n=57).In addition,56 patients who underwent physical examination during the same period were selected as the control group.Clinical data of patients were collected,CD14+CD16+mononuclear cells were detected by flow cytometry(FCM),and IgG N-glycosyl levels were detected by hydrophilic interaction chromatography-mass spectrometry.Logistic regression analysis was performed to analyze the influencing factors of SLE-DAI,and multicollinearity test[variance inflation factor(VIF)]was performed for independent variables.The prediction model of disease activity was constructed.The effectiveness of the predictive model was evaluated by describing the recviver operator characteristic(ROC)curve and calculating the area under the curve(AUC)value.Hosmer-Lemeshow goodness-of-fit test predicted the calibration degree of the model.Results The levels of WBC,Hb,PLT,ALB,complement C3 and complement C4 in control group were higher than those in SLE group(t=8.917～22.171),and the levels of CRP were lower than those in SLE group(t=-17.359),with differences were statistical significance(all P<0.05).The CRP level and the proportion of CD14+CD16+mononuclear cells in the active group were higher than those in the stable group,and the differences were statistically significant(t=5.449,11.112,all P<0.05).The IgG glycosylation characteristics of galactosylation,sialylation and N-acetylglucosamine modification were lower than those in the stable group,and the differences were statistical significance(Z=-2.432～-0.158,all P<0.05).Spearman correlation analysis showed that the proportion of CD14+CD16+monocytes was significantly negatively correlated with IgG galactosylation,sialylation level and bisection N-acetylglucosamine modification(r=-0.656,-0.531,-0.608,all P<0.01).CD14+CD16+monocyte ratio was positively correlated with SLE-DIA(r=0.581,all P<0.01).IgG galactosylation,sialylation levels and bisection N-acetylglucosamine modification were negatively correlated with SLE-DIA(r=-0.645,-0.609,-0.503,all P<0.01).Logistic regression analysis showed that CRP>8.21mg/L,CD14+CD16+≥16.17%,sialylation<22.05%and isotropic N-acetylglucosamine modification<16.53%were independent risk factors for disease activity in SLE patients(Wald χ2=4.471～12.811,all P<0.05).The VIF values of the above independent variables were all less than 10.By establishing the Logistic regression prediction model and drawing the ROC curve,the AUC value for diagnosing SLE disease activity was 0.821(95%CI:0.733～0.905),the sensitivity,specificity and the Yodon index were 85.37%,75.67%,0.677,respectively.and the P values of Hosmer-Lemeshow goodness-of-fit test models were 0.568,respectively.Conclusion The proportion of CD14+CD16+monocytes in peripheral blood of SLE patients increase significantly,and the level of IgG glycosylation characteristics decrease,both of which are correlated with SLE-DIA.The predictive model constructed based on the two had a good ability to distinguish SLE-DIA from inactive state,with high sensitivity and moderate specificity conducive to early clinical recognition,and the model fitting effect is good.SLE-DIA can be evaluated more accurately.

Objective:To perform routine plasma test, SARS-CoV-2 nucleic acid test, and respiratory pathogenic microorganism nucleic acid test on plasma samples collected from 1 040 healthy plasma donors in winter.Methods:Plasma samples were collected from 1 040 healthy plasma donors at Yunmeng Plasma Collection Station in the winter of 2020. Routine plasma test, HBV/HCV/HIV nucleic acid test, SARS-CoV-2 nucleic acid test, and 22 respiratory pathogenic microorganism nucleic acid test were performed to analyze the quality of blood plasmas.Results:All plasma samples were qualified in the routine tests, meeting the requirements of the Chinese Pharmacopoeia, and tested negative for SARS-CoV-2 nucleic acid. Respiratory pathogenic microorganism nucleic acids were detected in 29 samples with a positive rate of 2.79% (29/1 040). There were 21 cases of simple virus infections, including 17 cases of coronavirus subtype infection, three cases of parainfluenza virus type 2 infection, and one case of human bocavirus infection. Eight cases were mixed infections of viruses and bacteria, four of which were viral infection combined with Bordetella pertussis. The 29 positive samples were collected from people of different age groups, including two from 31-40 years old (1.96%, 2/102 ), three from 41-50 years old (1.59%, 3/189), five from 51-55 years old (1.94%, 5/257), and 19 from 56-60 years old (4.59%, 19/414). Samples from the people aged 56-60 years accounted for the most (39.81%, 414/1 040), as well as the infection rate in this age group. Conclusions:In autumn and winter, respiratory pathogenic microorganism nucleic acid test should be performed when collecting plasma samples from donors aged 56-60 years in addition to meeting the requirements of the Chinese Pharmacopoeia. It is also suggested to conduct respiratory pathogenic microorganism nucleic acid test on pooled plasma and blood products.

Regarding the air quality problems,this article summarized the adverse factors such as trace harmful gases,small particulate matter,and high concentration carbon dioxide that existed in space closed environment,and compared the advantages and disadvantages of physical and chemical treatment methods to improve air quality.The focus was on exploring the improvement benefits of plants method on air quality,and summarizing the research progress in three aspects:absorption of trace harmful gases,release of negative oxygen ions,and absorption of carbon dioxide.The current research problems were pointed out,and the future research directions on using plants to improve the air quality in space closed environment were predicted.

Objective In order to use plants to absorb high concentration carbon dioxide in closed space,the gas exchange capacity and regulation measures of six horticultural plants were explored.Methods The gas exchange characteristics of Bamboo Palm,Chrysanthemum,Peace Lily,Anthurium,Aloe vera,and Nephrolepis exaltata were studied under three light gradients[170 μmol/(m2·s),270 μmol/(m2·s),370 μmol/(m2·s)]and four carbon dioxide concentration gradients(500 ppm,1 000 ppm,1 500 ppm,2 000 ppm)using a closed low-pressure device.Results The results indicate significant differences in the average photosynthetic rates among the six plants,with the ranking order as Chrysanthemum>Peace Lily>Bamboo Palm>Aloe vera>Anthurium>Nephrolepis exaltata.In contrast,the transpiration rate and respiration rate of Chrysanthemum,Peace Lily and Bamoo Palm were higher,aloe vera absorbed carbon dioxide under dark conditions.Under a light intensity of 370 μmol/(m2·s),the photosynthetic rate of Bamboo Palm was most enhanced,2.57 times that under the condition of 170 μmol/(m2·s),whereas high light intensity suppressed the photosynthetic rate of Nephrolepis exaltata,which was about 3%lower than that under low light intensity.Under a carbon dioxide concentration of 2 000 ppm,the photosynthetic rates of Chrysanthemum,Peace Lily,and Bamboo Palm was more than 9.13 μmol CO2/(m2·s),approximately three times the average rate under low carbon dioxide concentration.Conclusion Among the six horticultural plants,Chrysanthemum,Bamboo Palm,and Peace Lily exhibit superior gas exchange capabilities,and increasing the light intensity and carbon dioxide concentration in the cultivation environment significantly enhances the photosynthetic rate of these three plants.

Acute respiratory distress syndrome (ARDS) is a clinical syndrome defined by acute onset of hypoxemia and bilateral pulmonary opacities not fully explained by cardiac failure or volume overload. At present, there is no specific drug treatment for ARDS, and the mortality rate is high. The reason may be that ARDS has rapid onset, rapid progression, complex etiology, and great heterogeneity of clinical manifestations and treatment. Compared with traditional data analysis, machine learning algorithms can automatically analyze and obtain rules from complex data and interpret them to assist clinical decision making. This review aims to provide a brief overview of the machine learning progression in ARDS clinical phenotype, onset prediction, prognosis stratification, and interpretable machine learning in recent years, in order to provide reference for clinical.
Humans ; Hypoxia/complications* ; Respiratory Distress Syndrome/etiology* ; Prognosis ; Machine Learning

Objective:To investigate the gene transcription level changes in the amygdala of social isolation rearing models of schizophrenia to determine the pathogenic genes and their related pathways of schizophrenia.Methods:A total of 29 3-week-old SPF C57BL/6J male mice were randomly divided into control group ( n=16) and model group ( n=13); 4 mice were raised in each transparent mouse cage in the control group, and 1 mouse was raised in each transparent mouse cage in the model group; mice in each cage could see their surrounding mice but could not touch each other. Mice in both groups were fed for 4 weeks and then subjected to open field experiment, pre-pulse inhibition experiment and new object recognition experiment within one week. After the experiment, mice were sacrificed by spinal dislocation, and the amygdala was taken for transcriptome sequencing. The topGO software was used for gene ontology (GO) functional enrichment analysis of differentially expressed genes (DEGs), and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis was performed using KEGG database. Results:(1) Animal experiment: compared with the control group, the model group had significantly increased movement distance in the open field experiment ([1 239.20±106.35] m vs. [1 845.53±143.65] m, t=3.464, P=0.002), significantly decreased activity time in the central region 5 min before experiment ([13.15±1.41] s vs. [8.47±1.19]) s, t=2.464, P=0.020). Compared with the control group, the model group had significantly lower percentage of deficient prepulse inhibition (PPI) of 78 dB ([22.28±1.53] % vs. [14.59±2.75] %, t=2.629, P=0.013), and deficient PPI of 88 dB ([32.83±3.39] % vs. [18.44±3.07] %, t=3.081, P=0.005). Compared with the control group, the model group had significantly decreased ratio of time exploring new objects/time exploring former objects ([80.5±2.2]% vs. [71.0±3.6]%, t=2.356, P=0.026). (2) Bioinformatics analysis: a total of 96 DEGs were found, of which 42 were with up-regulated expressions ( Th, Crlf1, etc.), and 54 were with down-regulated expressions ( Prkcd, etc.). Th and Crlf1 were positively correlated ( r=0.940, P=0.018). GO enrichment results suggested that DEGs were enriched in projection function of plasma membrane boundary cells, neuronal differentiation, and cell apoptosis. KEGG enrichment results suggested that DEGs were enriched in WNT signaling pathway, apoptosis pathway and tyrosine metabolism pathway. Protein network interaction analysis suggested that Wnt6, Tcf712, Pitx2, Tcf7 and Cd4 were key proteins. Conclusion:DEGs such as Th, Prkcd, Lrrc74b, Fadd, Wnt6, Ror2, Notum, and Tcf7l2, and their related signaling pathways may be related to schizophrenia in the amygdala of social isolation rearing mice.