Portable, Easy-to-Operate, and Antifouling Microcapsule Array Chips Fabricated by 3D Ice Printing for Visual Target Detection.

Herein, we proposed a portable, easy-to-operate, and antifouling microcapsule array chip for target detection. This prepackaged chip was fabricated by innovative and cost-effective 3D ice printing integrating with photopolymerization sealing which could eliminate complicated preparation of wet chemistry and effectively resist outside contaminants. Only a small volume of sample (2 µL for each microcapsule) was consumed to fulfill the assay. All the reagents required for the analysis were stored in ice form within the microcapsule before use, which guaranteed the long-term stability of microcapsule array chips. Nitrite and glucose were chosen as models for proof of concept to achieve an instant quantitative detection by naked eyes without the need of external sophisticated instruments. The simplicity, low cost, and small sample consumption endowed ice-printing microcapsule array chips with potential commercial value in the fields of on-site environmental monitoring, medical diagnostics, and rapid high-throughput point-of-care quantitative assay.

[Prognostic value of Picco monitoring combined with plasma microRNA-150 detection in septic shock patients].

OBJECTIVE: To assess the prognostic value of pulse indicator continuous cardiac output (Picco) monitoring combined with plasma microRNA-150 detection in septic shock patients. METHODS: Clinical data of 48 patients with septic shock admitted in General Intensive Care Unit (GICU), Shanghai First People's Hospital Songjiang Branch Affiliated to Shanghai Jiaotong University from August 2012 to August 2014 were analyzed retrospectively. The plasma levels of microRNA-150 in 48 patients at admission were assayed by qRT-PCR; and Picco monitoring was performed to record hemodynamic changes. The correlation of microRNA-150 or Picco parameters with prognosis of patients was assessed by univariate analysis and multivariate logistic analysis. Spearman correlation test showed the relationship between microRNA-150 and Picco parameters. Finally, the clinical value of combining microRNA-150 with Picco monitoring to predict the outcome of septic shock patients was analyzed by ROC curves. RESULTS: Twenty-three patients survived and 25 died in 28 d after admission in GICU. Compared with survival patients, microRNA-150 was significantly lower in fatal patients (t=-10.32, P<0.05). Univariate analysis showed that low microRNA-150 level was a risk factor for poor prognosis(OR=2.176,95% CI:1.121-4.223, P<0.05). Compared with fatal cases, the cardiac index of survival patients was higher, while EVLWI and PVPI were lower. MicroRNA-150 level was positively correlated with cardiac index (r=0.712, P<0.05), negatively correlated with EVLWI and PVPI (r=-0.622 and-0.689, both P<0.05). ROC curves showed a satisfactory diagnostic efficiency of combining microRNA-150 with Picco monitoring. CONCLUSION: Lower microRNA-150 may indicate a poor prognosis, and Picco monitoring combined with microRNA 150 detection may improve the prognostic efficiency in septic shock patients.

[Identifying Driving Factors and Their Interacting Effects on Sources of Heavy Metal in Farmland Soils with Geodetector and Multi-source Data].

The identification of heavy metal sources in farmland soils is essential for the rational health condition management and sustainable development of soil. Using source resolution results(source component spectrum and source contribution)of a positive matrix factorization(PMF)model, historical survey data, and time-series remote sensing data, integrating a geodetector(GD), an optimal parameters-based geographical detector(OPGD), a spatial association detector(SPADE), and an interactive detector for spatial associations(IDSA)model, this study explored the modifiable areal unit problem(MAUP) of spatial heterogeneity of soil heavy metal sources and identified the driving factors and their interacting effects on the spatial heterogeneity of soil heavy metal sources in categorical and continuous variables, respectively. The results showed that the spatial heterogeneity of soil heavy metal sources at small and medium scales was affected by the spatial scale, and the optional spatial unit was 0.08 km2 for detecting spatial heterogeneity of soil heavy metal sources in the study region. Considering spatial correlation and discretization level, the combination of the quantile method and discretization parameters with an interruption number of 10 could be implied to reduce the partitioning effects on continuous variables in the detection of spatial heterogeneity of soil heavy metal sources. Within categorical variables, strata(PD 0.12-0.48) controlled the spatial heterogeneity of soil heavy metal sources, the interaction between strata and watersheds explained 27.28%-60.61% of each source, and the high-risk areas of each source were distributed in the lower sinian system, upper cretaceous in strata, mining land in land use, and haplic acrisols in soil types. Within continuous variables, population (PSD 0.40-0.82) controlled the spatial variation in soil heavy metal sources, and the explanatory power of spatial combinations of continuous variables for each source ranged from 61.77% to 78.46%. The high-risk areas of each source were distributed in evapotranspiration (41.2-43 kg·m-2), distance from the river (315-398 m), enhanced vegetation index (0.796-0.995), and distance from the river (499-605 m). The results of this study provide a reference for the research of the drivers of heavy metal sources and their interactions in arable soils and provide an important scientific basis for the management of arable soil and its sustainable development in karst areas.

Molecular detection of Bartonella species in wild small mammals in western Yunnan Province, China.

Background: Small mammals serve as the main reservoir for Bartonella and as a proxy indicator of the potential risk of Bartonella transmission from nature to humans. They offer a valuable early warning for human infection. Nevertheless, geographical variations in the impact of the host on the occurrence of Bartonella infection are underestimated. This study was designed to investigate the infection characteristics of Bartonella and explore its species diversity in wild small mammals in western Yunnan Province, China. Methods: Wild small mammals were captured from Yulong, Jianchuan, and Lianghe counties in western Yunnan Province between 2015 and 2016. Real-time quantitative PCR (qPCR) was used to detect Bartonella infection, and the Bartonella species were identified by phylogenetic analysis. The factors associated with Bartonella infection in small mammals were analyzed by the Chi-square Test. Results: The prevalence of Bartonella in small mammals was 47.85% (768/1605). Lianghe County had the highest Bartonella infection rate, with 56.27% of the samples tested positive, followed by a rate of 50.91% was tested in Yulong County, and 39.97% in Jianchuan County (p < 0.001). Bartonella was detected positive in a total 25 small mammal species, with infection rates ranging from 2.17% to 100%. Niviventer fulvescens had the highest Bartonella infection rate. In comparison with the dominant small mammal species, Eothenomys mileyus had the lowest Bartonella infection rate than that in Apodemus chevrieri, Rattus tanezumi, and Apodemus draco (p < 0.001). Male small mammals had a higher infection rate than females (p < 0.05). The prevalence of Bartonella in small mammals during the summer season was higher compared to the other three seasons (p < 0.001). Woodland landscape had the highest Bartonella infection rate (p < 0.001). Bartonella rochalimae, B. japonica, B. tribocorum, B. washoensis, B. sylvatica, and B. rattimassiliensis were obtained from infected small mammals. Conclusion: This study showed a high prevalence of Bartonella was detected with various Bartonella species in small mammals in Yulong, Jianchuan, and Lianghe counties of western Yunnan Province. These findings hold significant scientific clues, providing valuable reference points for further research of Bartonella natural foci in Yunnan or other analogues environments.

Multidrug-resistant organisms in intensive care units and logistic analysis of risk factors.

BACKGROUND: Intensive care unit (ICU) patients are critically ill and have low immunity. They will undergo various trauma medical procedures during diagnosis and treatment. The use of high-dose hormones and broad-spectrum antibiotics will increase the incidence of nosocomial infection in ICU patients. Therefore, it is necessary to explore the causes of nosocomial infection in ICU and provide basis for the prevention and control of nosocomial infection in ICU. AIM: To explore major pathogens of nosocomial infection in ICUs, methods of detection and drug resistance trends. METHODS: Risk factors of multidrug-resistant infection were analyzed to provide a basis for clinical rational use of antimicrobial drugs in the ICU. These findings were used to standardize rational use of antimicrobial agents. BD PhoenixTM100 automatic bacterial identification analyzer was used to for cell identification in specimens collected from the ICU between January 2016 and December 2019. Drug sensitivity tests were carried out and drug resistance trends were analyzed using the optical disc diffusion method. Odds ratios and corresponding 95%CI of independent variables were calculated using a logistic regression model. Backward elimination (trend = 0.1) was used as an inclusion criterion for multivariate analysis. All data were analyzed using SPSS version 22.0, and P < 0.05 was considered statistically significant. RESULTS: We collected 2070 samples from ICU patients between January 2016 and December 2019. Sample types comprised sputum (1139 strains, 55.02%), blood (521 strains, 25.17%), and drainage fluid (117 strains, 5.65%). A total of 1051 strains of major pathogens, including Acinetobacter baumannii, Escherichia coli (E. coli), Pseudomonas aeruginosa (P. aeruginosa), Klebsiella pneumoniae (K. pneumoniae) and Staphylococcus aureus, were detected, with a detection rate of 35.97% (378/1051). Most of these strains were resistant to antibiotics. Detection rate of E. coli was 21.79% (229/1051), and it was generally sensitive to many antimicrobial drugs. Detection rate of P. aeruginosa was 24.74% (260/1051), and showed low sensitivity to most antibiotics. Detection rate of K. pneumoniae was 9.42% (99/1051), which was generally resistant to multiple antimicrobial drugs and resistant forms. K. pneumoniae was resistant to imipenem for approximate 4 years, and showed a 19.9% (19/99) and 20.20% (20/99) rate of meropenem resistance. Logistic analysis showed that mechanical ventilation and ureteral intubation were risk factors for multidrug-resistant bacterial infections. CONCLUSION: This study showed a high incidence of ICU infections. Mechanical ventilation and urine tube intubation were risk factors for infection with multidrug-resistant bacteria.

Ultrasonic monitoring in the assessment of pulmonary recruitment and the best positive end-expiratory pressure.

The aim of this study was to explore the clinical value of ultrasonic monitoring in the assessment of pulmonary recruitment and the best positive end-expiratory pressure (PEEP).Between January 2015 and June 2017, 40 patients with acute respiratory distress syndrome in our hospital were randomly divided into 2 groups: ultrasound group (ULS group; n = 20) and oxygenation group (OXY group; n = 20). The PEEP incremental method was used to perform recruitment maneuvers. Ultrasound scoring and the oxygenation method were used to evaluate the pulmonary recruitment endpoint. The best PEEP was chosen by ultrasound scoring and the oxygenation method after achieving the pulmonary recruitment endpoint and sustaining it for 15 minutes.The oxygenation index, PEEP, peak airway pressure (Ppeak), mean airway pressure (Pmean), and dynamic compliance (Cdyn) in the OXY group were significantly lower than those in the ULS group (P < .05) at the pulmonary recruitment endpoint; however, there was no statistical significance in the mean arterial blood pressure (MAP) or heart rate (HR) (P > .05). The best PEEPs in the OXY and ULS groups were 13.1 ±â€Š3.1 and 15.7 ±â€Š4.2 cmH2O, respectively, with a significant difference between the 2 groups (t = 2.227, P = .016). Compared with the basal state, the Cdyn, oxygenation index, Pmean, and Ppeak in both groups significantly increased after pulmonary recruitment (P < .05). Furthermore, the Cdyn and oxygenation index in the ULS group were significantly higher than those in the OXY group after pulmonary recruitment (P < .05). The HR in both groups significantly increased, and the MAP significantly decreased. Two hours after recruitment, the HR and MAP returned to near basal levels without a significant difference between the 2 groups (P > .05).Lung ultrasound can be used to detect the endpoint of lung recruitment and the best PEEP, with good effects on lung compliance and oxygenation improvement.

[Significance of erythrocytes phosphatidylserine exposure on occurrence of anemia in sepsis].

OBJECTIVE: To investigate the role of phosphatidylserine (PS) exposure of erythrocytes in the development of anemia in sepsis patients. METHODS: A self-control study was conducted. Thirty sepsis patients admitted to intensive care unit (ICU) were enrolled. Peripheral venous blood was collected on 1 day and 7 days after ICU admission, and hemoglobin (Hb) concentration was examined routinely. A flow-cytometric assay based on Annexin V/ propidium iodide (Annexin V/PI) was used to measure the PS exposure of erythrocytes. The relationship between PS exposure and Hb concentration was analyzed. RESULTS: Hb concentrations in 30 sepsis patients at 7 days after ICU admission were significantly decreased compared with those of patients at 1 day (81.59±3.31 g/L vs. 121.90±3.34 g/L, t=8.570, P=0.000), but the percentage of PS exposure of erythrocytes was significantly higher [(17.19±1.35)% vs. (7.87±0.83)%, t=-6.557, P=0.000]. An inverse correlation was found between percentage of PS-positive RBCs and Hb concentration by Pearson analysis (r=-0.838, P=0.000). CONCLUSIONS: The percentage of PS exposure in erythrocytes is significantly increased in sepsis, and it might contribute to the development of anemia in sepsis patients during hospital stay. The more severe the anemia, the higher the PS in erythrocytes.