YY1 Positively Regulates Transcription by Targeting Promoters and Super-Enhancers through the BAF Complex in Embryonic Stem Cells

Yin Yang 1 (YY1) regulates early embryogenesis and adult tissue formation. However, the role of YY1 in stem cell regulation remains unclear. YY1 has a Polycomb group (PcG) protein-dependent role in mammalian cells. The PcG-independent functions of YY1 are also reported, although their underlying mechanism is still undefined. This paper reports the role of YY1 and BAF complex in the OCT4-mediated pluripotency network in mouse embryonic stem cells (mESCs). The interaction between YY1 and BAF complex promotes mESC proliferation and pluripotency. Knockdown of Yy1 or Smarca4, the core component of the BAF complex, downregulates pluripotency markers and upregulates several differentiation markers. Moreover, YY1 enriches at both promoter and super-enhancer regions to stimulate transcription. Thus, this study elucidates the role of YY1 in regulating pluripotency through its interaction with OCT4 and the BAF complex and the role of BAF complex in integrating YY1 into the core pluripotency networkThis research was funded by grants from the National Key Research and Development Program (2016YFA [0101700] and 2017YFA0102800), the National Natural Science Foundation of China (31771639), the Guangdong Innovative and Entrepreneurial Research Team Program 2016ZT06S029, the Fundamental Research Funds for the Central Universities (17ykzd04), and Thousand Youth Talents Plan to J.D., the National Natural Science Foundation of China (81703086) to J.W. and the NIH (1R01-GM095942 and 1R21HD087722) and the Empire State Stem Cell funded through the New York State Department of Health (NYSTEM; C028103 and C028121) to J.W.S

System inflammation response index: a novel inflammatory indicator to predict all-cause and cardiovascular disease mortality in the obese population

Abstract Aim This study aims to investigate the relationship between two novel inflammatory markers, namely, the Systemic Inflammatory Response Index (SIRI) and the Systemic Immune Inflammatory Index (SII), as well as the all-cause and cardiovascular disease (CVD) mortality in the obese population. Materials and methods We conducted a prospective cohort study based on the data of 13,026 obese adults (age ≥ 18 years) from the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2014 and followed until December 2019. SIRI was calculated by the formula: (neutrophil count × monocyte count) / lymphocyte count, while that of SII was: (platelet count × neutrophil count)/lymphocyte count. The association of SIRI and SII with all-cause and CVD mortality was evaluated using Cox regression. In addition, the nomogram was performed to predict 10-year survival probability. Results During a median follow-up of 137 months, 1959 and 553 all-cause and CVD deaths were recorded, respectively. Spearman correlation analysis indicated that SIRI and SII were unrelated to almost all baseline characteristics (r < 0.15). Multivariate Cox regression models displayed that each standard deviation (SD) increase in SIRI was associated with a 16% (HR 1.16; 95% CI 1.09–1.24) and 22% (HR 1.22; 95% CI 1.10–1.36) increase in the risk of all-cause and CVD mortality, respectively. Likewise, every SD increase in SII was correlated with a 9% (HR 1.09; 95% CI 1.02–1.16) and 14% (HR 1.14; 95% CI 1.04–1.26) increase in the risk of all-cause and CVD mortality, respectively. The predictive value of SIRI for all-cause and CVD mortality (AUC = 0.601 and 0.624) exceeded that of SII (AUC = 0.528 and 0.539). Moreover, the nomogram displayed a substantial predictive value for 10-year survival (AUC = 0.847) with sensitivity and specificity exceeding 75%. Conclusions In the obese population, SIRI and SII are independent risk factors for all-cause and CVD mortality. Notably, the predictive ability of SIRI for both all-cause and CVD mortality significantly outperforms that of SII, suggesting that SIRI is a more valuable marker of inflammation

Simulation of Irrigation Strategy Based on Stochastic Rainfall and Evapotranspiration

The North China Plain plays a pivotal role in China’s crop production, contributing to 30% of the maize yield. Nevertheless, summer maize in this region faces challenges due to climatic constraints characterized by concurrent high temperatures and rainfall during the growing season, resulting in a relatively high evapotranspiration rate. In this study, we explored eight soil moisture-based threshold irrigation strategies, consisting of two upper limits and four lower limits, along with a rainfed mode (E). The upper and lower irrigation limits are expressed as a percentage of the field’s water-holding capacity (sfc). For the four full irrigation modes (A1, A2, A3, A4), the lower limits were set at 0.6 sfc, 0.6 sfc, 0.5 sfc, and 0.5 sfc, respectively. The upper limits were defined at two levels: 0.8 sfc for A1 and A2 and sfc for A3 and A4. Similarly, for the four deficit irrigation modes (B1, B2, B3, B4), the lower limits were established at 0.4 sfc, 0.4 sfc, 0.3 sfc, and 0.3 sfc, respectively, with the upper limits set at two levels: 0.8 sfc for B1 and B2 and the full sfc for B3 and B4. To investigate the impact of rainfall and potential evapotranspiration on these irrigation modes under long-term fluctuations, we employed a stochastic framework that probabilistically linked rainfall events and irrigation applications. The Monte Carlo method was employed to simulate a long-term series (4000a) of rainfall parameters and evapotranspiration using 62 years of meteorological data from the Xinxiang region, situated in the southern part of the North China Plain. Results showed that the relative yield and net irrigation water requirement of summer maize decreased with decreasing irrigation lower limits. Additionally, the interannual variation of rainfall parameters and evapotranspiration during the growing season were remarkable, which led to the lowest relative yield of the rainfed mode (E) aligned with a larger interannual difference. According to the simulation results, mode A4 (irrigation lower limit equals 0.5 sfc, irrigation upper limit equals 0.8 sfc) could be adopted for adequate water resources. Conversely, mode B2 is more suitable for a lack of water resources

Optimization and evaluation of fish oil microcapsules

Fish oil microcapsules were prepared using two natural polysaccharides, alginate and chitosan, as the wall materials. A response surface methodology (RSM) was used to optimize the conditions for fish oil encapsulation efficiency (FOEE). The FOEE was investigated with respect to three key-variables in the RSM: ratio of inner oil phase to aqueous phase (X-1, w/w); concentration of the aqueous phase (X-2, wt%); and ratio of the aqueous phase to outer oil phase (X-3, v/v). The optimal, formulation obtained from the RSM model, i.e., 2.7:1 (X-1), 1.6 wt% (X-2), and 11.5:1 (X-3), gave a FOEE of 28%. The model was validated and the fish oil microcapsules prepared under the optimized conditions were characterized in terms of particle size, polydispersity index (PDI), zeta potential, surface morphology, and in vitro release. The average droplet size, PDI, and zeta potential were 915 nm, 0.038, and +5.2 mV, respectively. The fish oil microcapsules were highly uniform microspheres, and had an accumulative release rate of 77.7% in 270 min in a gastrointestinal model, indicating their potential as an alternative carrier for the controlled release of fish oil. In conclusion, formulating optimal microencapsulation conditions by the RSM can be applied to the microencapsulation of various oil-soluble nutrients for food applications. (C) 2016 Chinese Society of Particuology and Institute of Process Engineering, Chinese Academy of Sciences. Published by Elsevier B.V. All rights reserved

Is 18F-PET-CT the First Choice for Preoperative Screening for Ia Non-small Cell Lung Cancer?

Background and objective The preferred therapy for patients with pulmonary nodules which highly suspected as lung cancer by low-dose spiral computed tomography (CT) is surgery, but the best screening method of whole body is not clear yet. The aim of this study is to investigate the differences in the progression-free survival (PFS) of patients with Ia stage non-small cell lung cancer after screening of positron emission computed tomography (PET)-CT and conventional imaging (B-ultrasound/CT/MRI/ECT, BCME). Methods A total of 300 cases of Ia stage non-small cell lung cancer were collected, of which 170 cases were performed PET-CT and 130 cases were performed BCME before operation. The basic characteristics of the two groups were analyzed by propensity score matching (PSM), and 114 cases of each group were included in the study. The survival analysis was carried out by the Kaplan-Meier survival curve and the Cox regression analysis. Results There was no significant difference between each group analyzed by PSM. The PFS of PET-CT and BCME were (44.9±27.2) months and (44.1±33.1) months (χ2=1.284, P=0.257). Both of the method ssucceed in screening. It is not the PFS influence factors. The false positive of PET-CT and BCME were 10 cases and 8 cases (χ2=0.241, P=0.623). Conclusion Both PET-CT and BCME can be used as a screening method for Ia stage non-small cell lung cancer according to individualized choice of patients

Fabrication of uniform alginate-agarose microcapsules loading FeSO4 using water-oil-water-oil multiple emulsions system combined with premix membrane emulsification technique

In this study, the uniform alginate-agarose microcapsules entrapping FeSO4 were successfully fabricated by premix membrane emulsification technique combined with ionic crosslinking solidification method. It was the first time to employ four phase emulsions system of W-1/O-1/W-2/O-2 for encapsulating FeSO4 into alginate-agarose microcapsules. We systematically investigated how the preparation parameters including type of oil phase and emulsifier, concentrations of alginate and agarose and volume ratios between oil and water phase influenced the stability of emulsions, the morphology and size distributions of microcapsules and loading efficiency of FeSO4. We found that the stability of emulsion was improved with the increase of viscosity and density of outer oil phase (O-2), the concentration of emulsifier as well as the volume ratio between inner water phase and inner oil phase (W-1/O-1) within a certain range. Besides, loading capacity of Fe2+ in alginate/agarose microcapsules presented an increase tendency with the decrease of the volume ratio between external water phase (W-2) and primary emulsion [W-2/(O-1/W-1) (v/v)], and also decreased with the concentration of W-2

Optimization and evaluation of fish oil microcapsules

Fish oil microcapsules were prepared using two natural polysaccharides, alginate and chitosan, as the wall materials. A response surface methodology (RSM) was used to optimize the conditions for fish oil encapsulation efficiency (FOEE). The FOEE was investigated with respect to three key-variables in the RSM: ratio of inner oil phase to aqueous phase (X-1, w/w); concentration of the aqueous phase (X-2, wt%); and ratio of the aqueous phase to outer oil phase (X-3, v/v). The optimal, formulation obtained from the RSM model, i.e., 2.7:1 (X-1), 1.6 wt% (X-2), and 11.5:1 (X-3), gave a FOEE of 28%. The model was validated and the fish oil microcapsules prepared under the optimized conditions were characterized in terms of particle size, polydispersity index (PDI), zeta potential, surface morphology, and in vitro release. The average droplet size, PDI, and zeta potential were 915 nm, 0.038, and +5.2 mV, respectively. The fish oil microcapsules were highly uniform microspheres, and had an accumulative release rate of 77.7% in 270 min in a gastrointestinal model, indicating their potential as an alternative carrier for the controlled release of fish oil. In conclusion, formulating optimal microencapsulation conditions by the RSM can be applied to the microencapsulation of various oil-soluble nutrients for food applications. (C) 2016 Chinese Society of Particuology and Institute of Process Engineering, Chinese Academy of Sciences. Published by Elsevier B.V. All rights reserved.</p

Association of body mass index with mortality of sepsis or septic shock: an updated meta-analysis

Abstract Background The effects of body mass index (BMI) on mortality of sepsis remain unknown, since previous meta-analyses have reported conflicting results. Several observational studies published recently have provided new evidence. Thus, we performed this updated meta-analysis. Methods PubMed, Embase, Web of Science, and Cochran Library were searched for articles published before February 10, 2023. Observational studies that assessed the association of BMIs with mortality of sepsis patients aged > 18 years were selected. We excluded studies of which data were unavailable for quantitative synthesis. Odds ratios (OR) with 95% confidence interval (CI) were the effect measure, which were combined using fixed-effect or random-effect models. The Newcastle–Ottawa Scale was applied for quality assessment. Subgroups analyses were conducted according to potential confounders. Results Fifteen studies (105,159 patients) were included in the overall analysis, which indicated that overweight and obese BMIs were associated with lower mortality (OR: 0.79, 95% CI 0.70–0.88 and OR: 0.74, 95% CI 0.67–0.82, respectively). The association was not significant in patients aged ≤ 50 years (OR: 0.89, 95% CI 0.68–1.14 and OR: 0.77, 95% CI 0.50–1.18, respectively). In addition, the relationship between morbidly obesity and mortality was not significant (OR: 0.91, 95% CI 0.62–1.32). Conclusions Overweight and obese BMIs (25.0–39.9 kg/m2) are associated with reduced mortality of patients with sepsis or septic shock, although such survival advantage was not found in all crowds. Trial registration The protocol of this study was registered in PROSPERO (registration number CRD42023399559)