Optical sensor for butylamine vapour based on the photonic structure infiltrated by liquid crystal

We propose an optical sensor based on the inverse opal (IOP) photonic structure infiltrated by a typical liquid crystalline material doped by the reactive compounds. Benefiting from the unique photonic property of the IOP structure, the composite sensor shows not only a typical textural change but also a responsive photonic band gap (PBG) upon the exposure to butylamine (BA) vapour, due to the reorientation of the liquid crystalline molecules induced by the chemical reaction between the dopant and the BA vapour. This approach simplifies the measurement process by capturing the PBG signal instead of the polarised optical texture, which does not require high cost or complex instruments and might be instructive for detecting other volatiles.</p

Table_2_Association of urine autoantibodies with disease activity in systemic lupus erythematosus.DOCX

ObjectiveThe presence of urinary autoantibodies in patients with systemic lupus erythematosus (SLE) has been confirmed by several studies; however, the significance of their presence in urine remains unclear. This study aims to further investigate the association between urine autoantibodies and disease activity as well as organ involvement in SLE.MethodsThis cross-sectional study included 89 SLE patients. Data collected included anti-nuclear antibody (ANA), anti-ENA antibodies, and anti-dsDNA antibody levels in both serum and urine, complement (C) 3, C4 levels in serum, SLE disease activity index-2000 (SLEDAI-2000), renal domains of SLEDAI (RSLEDAI) and non-renal SLEDAI (NRSLEDAI).ResultsThe rate of positive urine ANA (uANA) was 33.3% (29/87) among the enrolled patients. Compared to the uANA negative group, the positive group exhibited significantly higher SLEDAI-2000 scores (7.85 ± 5.88 vs. 18.69 ± 6.93, p s = 0.663, p s = 0.662, p s = 0.143, p = 0.182). Conversely, the urine anti-dsDNA antibody level demonstrated a significant positive correlation with RSLEDAI (rs = 0.529, p ConclusionUrine ANA is associated with both global SLEDAI and RSLEDAI scores. Urine anti-Sm antibody is associated with an increased incidence of renal involvement in SLE. The urine anti-dsDNA antibody level, rather than the serum anti-dsDNA antibody level, exhibits a significant association with RSLEDAI in SLE.</p

Table_1_Association of urine autoantibodies with disease activity in systemic lupus erythematosus.DOCX

ObjectiveThe presence of urinary autoantibodies in patients with systemic lupus erythematosus (SLE) has been confirmed by several studies; however, the significance of their presence in urine remains unclear. This study aims to further investigate the association between urine autoantibodies and disease activity as well as organ involvement in SLE.MethodsThis cross-sectional study included 89 SLE patients. Data collected included anti-nuclear antibody (ANA), anti-ENA antibodies, and anti-dsDNA antibody levels in both serum and urine, complement (C) 3, C4 levels in serum, SLE disease activity index-2000 (SLEDAI-2000), renal domains of SLEDAI (RSLEDAI) and non-renal SLEDAI (NRSLEDAI).ResultsThe rate of positive urine ANA (uANA) was 33.3% (29/87) among the enrolled patients. Compared to the uANA negative group, the positive group exhibited significantly higher SLEDAI-2000 scores (7.85 ± 5.88 vs. 18.69 ± 6.93, p s = 0.663, p s = 0.662, p s = 0.143, p = 0.182). Conversely, the urine anti-dsDNA antibody level demonstrated a significant positive correlation with RSLEDAI (rs = 0.529, p ConclusionUrine ANA is associated with both global SLEDAI and RSLEDAI scores. Urine anti-Sm antibody is associated with an increased incidence of renal involvement in SLE. The urine anti-dsDNA antibody level, rather than the serum anti-dsDNA antibody level, exhibits a significant association with RSLEDAI in SLE.</p

Image_1_Association of urine autoantibodies with disease activity in systemic lupus erythematosus.JPEG

ObjectiveThe presence of urinary autoantibodies in patients with systemic lupus erythematosus (SLE) has been confirmed by several studies; however, the significance of their presence in urine remains unclear. This study aims to further investigate the association between urine autoantibodies and disease activity as well as organ involvement in SLE.MethodsThis cross-sectional study included 89 SLE patients. Data collected included anti-nuclear antibody (ANA), anti-ENA antibodies, and anti-dsDNA antibody levels in both serum and urine, complement (C) 3, C4 levels in serum, SLE disease activity index-2000 (SLEDAI-2000), renal domains of SLEDAI (RSLEDAI) and non-renal SLEDAI (NRSLEDAI).ResultsThe rate of positive urine ANA (uANA) was 33.3% (29/87) among the enrolled patients. Compared to the uANA negative group, the positive group exhibited significantly higher SLEDAI-2000 scores (7.85 ± 5.88 vs. 18.69 ± 6.93, p s = 0.663, p s = 0.662, p s = 0.143, p = 0.182). Conversely, the urine anti-dsDNA antibody level demonstrated a significant positive correlation with RSLEDAI (rs = 0.529, p ConclusionUrine ANA is associated with both global SLEDAI and RSLEDAI scores. Urine anti-Sm antibody is associated with an increased incidence of renal involvement in SLE. The urine anti-dsDNA antibody level, rather than the serum anti-dsDNA antibody level, exhibits a significant association with RSLEDAI in SLE.</p

The expression of LRRN4 was correlated with the progression and prognosis of colon adenocarcinoma (COAD) patients

Abstract Our present study aims to investigate the value of LRRN4 in the progression and prognosis of COAD patients. All COAD and adjacent sample data was downloaded from TCGA database. Survival analysis was performed according to Kaplan-Meier method. The real-time quantitative PCR and immunohistochemistry analysis were conducted for validation in cell lines and tissues. The GSEA was conducted to find functional KEGG pathways. Multivariate Cox regression proportional hazard mode was used to determine whether LRRN4 expression was an independent prognostic factor. The LRRN4 expression in COAD samples were significantly higher than that in adjacent samples, which was consistent with our experiments in cell lines and tissues. Along with the increase of TNM Stage, LRRN4 expression had an increasing tendency. The COAD patients with high LRRN4 expression showed undesirable prognoses. Additionally, the TGF-β signaling pathway, WNT signaling pathway and other 25 pathways were significantly activated in the high LRRN4 expression group. In conclusion, high LRRN4 expression was closely related to the onset of COAD and it was a poor prognostic factor for COAD patients.</div

C–N Bond Activation of <i>N</i>,<i>N′</i>-Dialkylacylhydrazines Mediated by β‑Fragmentation of Nitrogen-Centered Radical

In the presence of tert-butylnitrite and dioxygen, the C–N bond activation of N,N′-dialkylacylhydrazines was realized, providing a series of N-nitrosoacylhydrazines in high yields. Different from transition-metal and other radical catalysis, this reaction is mediated by a nitrogen-centered radical of the corresponding N,N′-dialkylacylhydrazine and further β-fragmentation, which was supported by the mechanistic study

sj-tif-1-cll-10.1177_09636897231210069 – Supplemental material for Human Umbilical Cord Mesenchymal Stem Cells Improve the Status of Hypoxic/Ischemic Cerebral Palsy Rats by Downregulating NogoA/NgR/Rho Pathway

Supplemental material, sj-tif-1-cll-10.1177_09636897231210069 for Human Umbilical Cord Mesenchymal Stem Cells Improve the Status of Hypoxic/Ischemic Cerebral Palsy Rats by Downregulating NogoA/NgR/Rho Pathway by Yaoling Luo, Jiayang Qu, Zhengyi He, Minhong Zhang, Zhengwei Zou, Lincai Li, Yuxian Zhang and Junsong Ye in Cell Transplantation</p

Difunctionalization of the C–N Bond through <i>tert</i>-Butylnitrite-Initiated C–N Cleavage of 1,2,3,4-Tetrahydroisoquinolines and <i>N</i>,<i>N</i>′‑Diarylimidazolidines under Transition-Metal-Free Conditions

Difunctionalization of the saturated C–N bond of 1,2,3,4-tetrahydroisoquinolines and N,N′-diarylimidazolidines was achieved using TBN as the metal-free initiator, providing a series N-nitrosoaminoaldehydes in high yields. Mechanistic study shows that the TBN-derived tBuO radical initiated the sp3 C–H bond activation, and the C–N bond cleavage was mediated by an iminium intermediate. This reaction provided a new way to cleave an inert C–N bond under mild and metal-free conditions, realizing the construction of molecular complexity through difunctionalization of the C–N bond

DataSheet_2_Machine learning-based multimodal MRI texture analysis for assessing renal function and fibrosis in diabetic nephropathy: a retrospective study.docx

IntroductionDiabetic nephropathy (DN) has become a major public health burden in China. A more stable method is needed to reflect the different stages of renal function impairment. We aimed to determine the possible practicability of machine learning (ML)-based multimodal MRI texture analysis (mMRI-TA) for assessing renal function in DN.MethodsFor this retrospective study, 70 patients (between 1 January 2013 and 1 January 2020) were included and randomly assigned to the training cohort (n1 = 49) and the testing cohort (n2 = 21). According to the estimated glomerular filtration rate (eGFR), patients were assigned into the normal renal function (normal-RF) group, the non-severe renal function impairment (non-sRI) group, and the severe renal function impairment (sRI) group. Based on the largest coronal image of T2WI, the speeded up robust features (SURF) algorithm was used for texture feature extraction. Analysis of variance (ANOVA) and relief and recursive feature elimination (RFE) were applied to select the important features and then support vector machine (SVM), logistic regression (LR), and random forest (RF) algorithms were used for the model construction. The values of area under the curve (AUC) on receiver operating characteristic (ROC) curve analysis were used to assess their performance. The robust T2WI model was selected to construct a multimodal MRI model by combining the measured BOLD (blood oxygenation level-dependent) and diffusion-weighted imaging (DWI) values.ResultsThe mMRI-TA model achieved robust and excellent performance in classifying the sRI group, non-sRI group, and normal-RF group, with an AUC of 0.978 (95% confidence interval [CI]: 0.963, 0.993), 0.852 (95% CI: 0.798, 0.902), and 0.972 (95% CI: 0.995, 1.000), respectively, in the training cohort and 0.961 (95% CI: 0.853, 1.000), 0.809 (95% CI: 0.600, 0.980), and 0.850 (95% CI: 0.638, 0.988), respectively, in the testing cohort.DiscussionThe model built from multimodal MRI on DN outperformed other models in assessing renal function and fibrosis. Compared to the single T2WI sequence, mMRI-TA can improve the performance in assessing renal function.</p