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Intestinal microbiota is symbiotically associated with host health, learning about the characteristics of microbiota and the factors that modulate it could assist in developing strategies to promote human health and prevent diseases. Polysaccharides from Lycium barbarum (LBPs) are found beneficial for enhancing the activity of gut microbiota, as a potential prebiotic, which not only participates in improving body immunity, obesity, hyperlipidemia and systemic inflammation induced by oxidative stress, but also plays a magnificent role in regulating intestinal microenvironment and improving host health and target intestinal effects via its biological activities, as well as gut microbiota and metabolites. To highlight the internal relationship between intestinal microbiota and LBPs, this review focuses on the latest advances in LBPs on the intestinal microbiota, metabolites, immune regulation, intestinal barrier protection, microbiota-gut-brain axis and host health. Moreover, the preparation, structure, bioactivity and modification of LBPs were also discussed. This review may offer new perspective on LBPs improving health of gut and host via intestinal microbiota, and provide useful guidelines for the application of LBPs in the food industry. [ABSTRACT FROM AUTHOR]

For organic solar cells (OSCs), nickel oxide (NiOx) is a potential candidate as the hole transport layer (HTL) material. However, due to the interfacial wettability mismatch, developing solution-based fabrication methods of the NiOx HTL is challenging for OSCs with inverted device structures. In this work, by using N, N-dimethylformamide (DMF) to dissolve poly(methyl methacrylate) (PMMA), the polymer is successfully incorporated into the NiOx nanoparticle (NP) dispersions to modify the solution-processable HTL of the inverted OSCs. Benefiting from the improvements of electrical and surface properties, the inverted PM6:Y6 OSCs based on the PMMA-doped NiOx NP HTL achieves an enhanced power conversion efficiency of 15.11% as well as improved performance stability in ambient conditions. The results demonstrated a viable approach to realize efficient and stable inverted OSCs by tuning the solution-processable HTL. [ABSTRACT FROM AUTHOR]

Background: Sepsis is a leading cause of mortality worldwide. Septic shock is a subtype of sepsis in which the underlying cardiovascular and cellular/metabolic disorders are profound enough to increase mortality significantly. We sought to investigate the association between soluble cluster of differentiation-73 (sCD73) and the incidence of septic shock in severe sepsis patients., Methods: This cross-sectional study included 588 Finnish patients with severe sepsis or septic shock from the Finnish Acute Kidney Injury (FINNAKI) study. The primary exposure of interest was baseline level of sCD73. The outcome was the incidence of septic shock. Multivariable logistic regression analyses were performed to assess the independent association between sCD73 and the incidence of septic shock., Results: The average age of 588 participants was 62±16 years, and 65.14% of the patients were male. The average sCD73 was 5.11 (interquartile range, 3.30, 8.25) ng/mL. The incidence of sepsis shock was 429 (72.96%). In the multivariate logistic regression model, sCD73 was negatively associated with septic shock. After multiple adjustments (for age, gender, lactate, the Sequential Organ Failure Assessment score, systolic heart failure, emergency admission, operative admission, and acute kidney injury within 12 h), a 1 ng/mL increment in sCD73 was associated with a 5% lower incidence of septic shock [odds ratio (OR) =0.95; 95% confidence interval (CI): 0.92, 0.98; P<0.001]., Conclusions: We found that sCD73 was negatively correlated with septic shock. Higher sCD73 was associated with a lower incidence of septic shock., Keywords: Septic shock; severe sepsis; soluble cluster of differentiation-73 (sCD73); inflammation; phosphatidylinositol 3-kinase/Akt signaling (PI3K/Akt signaling)., Competing Interests: Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://atm.amegroups.com/article/view/10.21037/atm-22-371/coif). The authors have no conflicts of interest to declare., (2022 Annals of Translational Medicine. All rights reserved.)

Recently, tin oxide (SnO 2 ) nanoparticles (NPs) have attracted considerable attention as the electron transporting layer (ETL) for organic solar cells (OSCs) due to their superior electrical properties, excellent chemical stability, and compatibility with low-temperature solution fabrication. However, the rough surface of SnO 2 NPs may generate numerous defects, which limits the performance of the OSCs. In this study, we introduce a perylene diimide derivative (PDINO) that could passivate the defects between SnO 2 NP ETL and the active layer. Compared with the power conversion efficiency (PCE) of the pristine SnO 2 ETL-based OSCs (12.7%), the PDINO-modified device delivers a significantly increased PCE of 14.9%. Overall, this novel composite ETL exhibits lowered work function, improved electron mobility, and reduced surface defects, thus increasing charge collection efficiency and restraining defect-caused molecular recombination in the OSC. Overall, this work demonstrates a strategy of utilizing the organic-inorganic hybrid ETL that has the potential to overcome the drawbacks of SnO 2 NPs, thereby developing efficient and stable OSCs., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2021 Kong, Wang, Zheng and Yu.)

Objective: Fundamental researches have shown that soluble CD73 (sCD73) can inhibit inflammatory response and limit excessive tissue damage caused by continuous immune cell activation. A Finnish prospective, observational study of acute kidney injury (FINNAKI) showed no association between sCD73 and 90-day mortality in sepsis patients. Clinical data of this study was used for secondary analysis to explore whether the relationship between sCD73 and 90-day mortality was consistent in septic shock and non-septic shock patients., Methods: The FINNAKI study was a prospective, observational cohort study conducted in 17 intensive care units (ICUs) in Finland from September 1st, 2011 to February 1st, 2012. Sepsis/septic shock was defined according to Sepsis-1 definition. Demographic characteristics, treatment, comorbidities and 90-day mortality of the patients were analyzed. To evaluate the difference (interaction test) between the relationship of sCD73 and 90-day mortality in septic shock and non-septic shock patients, likelihood ratio test was used to integrate the product term (sCD73×septic shock or non-septic shock) into multivariable Logistic regression. Sensitivity analysis was performed with the definition of Sepsis-3. The interaction between sCD73 and 90-day mortality in patients with septic shock and non-septic shock were verified by generalized additive model (GAM)., Results: A total of 588 patients with severe sepsis/septic shock were enrolled. 164 patients died in 90 days, and the 90-day mortality was 27.89%. Based on the Sepsis-1 definition, there were 159 non-septic shock patients and 429 septic shock patients. Compared with the non-septic shock patients, lactate (Lac) level, sequential organ failure assessment (SOFA) score, fluid balance on the first day, and ratio of mechanical ventilation, 12-hour acute kidney injury (AKI), renal replacement therapy (RRT), and postoperative ICU transition in the septic shock patients were significantly increased and the proportion of emergency admission to ICU was significantly decreased. Based on the Sepsis-3 definition, there were 383 non-septic shock patients and 205 septic shock patients; the results of clinical data analysis between the two groups were similar to those based on Sepsis-1. Based on Sepsis-1, there was no significant difference in 90-day mortality between non-septic shock and septic shock patients [23.90% (38/159) vs. 29.37% (126/429), P > 0.05]. However, based on Sepsis-3, the 90-day mortality of patients with septic shock was significantly higher than that of patients with non-septic shock [37.56% (77/205) vs. 22.72% (87/383), P < 0.01]. Multivariate Logistic regression analysis and interaction test showed that after adjusting all confounding factors (except the number of complications) in non-sepsis shock and sepsis shock patients, sCD73 and 90-day mortality were significantly different in both Sepsis-1 and Sepsis-3. The P values for interaction tests were 0.046 and 0.027, respectively. In patients with non-septic shock, sCD73 tended to be positively associated with 90-day mortality [Sepsis-1: odds ratio (OR) = 1.46, 95% confidence interval (95%CI) was 0.99-2.13, P = 0.053; Sepsis-3: OR = 1.34, 95%CI was 1.02-1.74, P = 0.034]. In septic shock patients, sCD73 tended to be negatively associated with 90-day mortality (Sepsis-1: OR = 0.91, 95%CI was 0.69-1.20, P = 0.494; Sepsis-3: OR = 0.80, 95%CI was 0.55-1.17, P = 0.249). The results of GAM model validation were consistent with the results of Logistic regression equation cross validation., Conclusions: The relationship between sCD73 and 90-day mortality is significantly different from patients with non-sepsis shock and sepsis shock. In patients with non-sepsis shock, sCD73 is trend to positively associated with 90-day mortality, and there is a negative trend between sCD73 and 90-day mortality in patients with septic shock.

Objective: To investigate the relationship between 1-hour lactate (1 h Lac) and 30-day mortality in critical care patients in intensive care unit (ICU)., Methods: A retrospective, observational cohort study was performed with adult critical patients (age ≥ 16 years old) having lactate records within 1 hour after ICU admission from Medical Information Mart for Intensive Care-III database (MIMIC-III). According to the 1 h Lac level, the patients were divided into three groups: < 2 mmol/L, 2-4 mmol/L, and > 4 mmol/L groups. The baseline characteristics were analyzed. Multivariable Logistic regression analysis was performed to assess the association between 1 h Lac and 30-day mortality. The receiver operating characteristic (ROC) curve was used to analyze the predictive value of 1 h Lac for 30-day mortality, and Kaplan-Meier survival curve was performed according to the best cut-off value. In addition, sensitivity analysis was carried out for each classification variable., Results: A total of 3 969 ICU patients were included, with 673 died in 30 days, and the total mortality was 16.95%. There were 1 664, 1 588, 717 patients in Lac < 2 mmol/L, 2-4 mmol/L and > 4 mmol/L group, respectively. There were significant differences in age, ICU duration, ICU type, heart rate, leukocyte count, hemoglobin, creatinine, sequential organ failure score (SOFA), ventilator application, vasoactive drug use and main diagnosis among the three groups. Multivariable Logistic regression analysis showed that a 1 mmol/L increment in Lac was associated with 0.24 times higher risk of 30-day mortality [odds ratio (OR) = 1.24, 95% confidence interval (95%CI) was 1.19-1.29, P < 0.000 1]. ROC curve analysis showed that the area under ROC curve (AUC) of 1 h Lac for predicting 30-day mortality of severe patients was 0.694 (95%CI was 0.669-0.718). The cut-off value was 3.35 mmol/L with sensitivity of 0.499 and specificity of 0.779, whilst positive likelihood ratio was 2.260, and negative likelihood ratio was 0.643. According to the cut-off value of 1 h Lac, the patients were divided into high lactate group (≥ 3.35 mmol/L) and low lactate group (< 3.35 mmol/L). In the two subgroups, 30-day mortality was 31.58% (336/1 064) and 11.60% (337/2 905), respectively. The Kaplan-Meier survival curve showed that the 30-day cumulative survival rate of high lactate group was significantly lower than that of low lactate group (Log-rank test: χ 2 = 247.72, P < 0.000 1). Multiple Logistic regression analysis showed that the 30-day mortality rate of high lactate group was 2.34 times that the level of low lactate group (OR = 2.34, 95%CI was 1.90-2.88, P < 0.000 1), after the adjustment of age, time of admission, type of ICU, hemoglobin, leukocyte count, use of vasopressor, use of ventilator and main diagnosis of patients. Stratified analysis showed that the relationship between 1 h Lac and 30-day mortality was stable., Conclusions: 1 h Lac is associated with 30-day mortality in critical care patients. The risk of death was significantly increased in critically ill patients with 1 h Lac higher than 3.35 mmol/L.