Establishment and validation of a multivariate logistic model for risk factors of thyroid nodules using lasso regression screening

ObjectiveThis study aims to analyze the association between the occurrence of thyroid nodules and various factors and to establish a risk factor model for thyroid nodules.MethodsThe study population was divided into two groups: a group with thyroid nodules and a group without thyroid nodules. Regression with the least absolute shrinkage and selection operator (Lasso) was applied to the complete dataset for variable selection. Binary logistic regression was used to analyze the relationship between various influencing factors and the prevalence of thyroid nodules.ResultsBased on the screening results of Lasso regression and the subsequent establishment of the Binary Logistic Regression Model on the training dataset, it was found that advanced age (OR=1.046, 95% CI: 1.033-1.060), females (OR = 1.709, 95% CI: 1.342-2.181), overweight individuals (OR = 1.546, 95% CI: 1.165-2.058), individuals with impaired fasting glucose (OR = 1.590, 95% CI: 1.193-2.122), and those with dyslipidemia (OR = 1.588, 95% CI: 1.197-2.112) were potential risk factors for thyroid nodule disease (p<0.05). The area under the curve (AUC) of the receiver operating characteristic (ROC) curve for the Binary Logistic Regression Model is 0.68 (95% CI: 0.64-0.72).Conclusionsadvanced age, females, overweight individuals, those with impaired fasting glucose, and individuals with dyslipidemia are potential risk factors for thyroid nodule disease

Translocation and Dissemination of Gut Bacteria after Severe Traumatic Brain Injury

Enterobacteriaceae are often found in the lungs of patients with severe Traumatic Brain Injury (sTBI). However, it is unknown whether these bacteria come from the gut microbiota. To investigate this hypothesis, the mice model of sTBI was used in this study. After sTBI, Chao1 and Simpson index peaking at 7 d in the lungs (p Acinetobacter in the lungs increased to 16.26% at 7 d after sTBI. The chao1 index of gut microbiota increased after sTBI and peaked at 7 d (p Lachnoclostridium, Acinetobacter, Bacteroides and Streptococcus grew significantly. At 7 d and 14 d, the histology scores in the sTBI group were significantly higher than the control group (p p p p < 0.05). SourceTracker identified that the lung tissue microbiota reflects 49.69% gut source at 7 d after sTBI. In the small intestine, sTBI induced gastrointestinal dysfunction with increased apoptosis and decreasing antimicrobial peptides. There was a negative correlation between gut conditional pathogens and the expression level of antimicrobial peptides in Paneth cells. Our data indicate that gut bacteria translocated to the lungs after sTBI, and Paneth cells may regulate gut microbiota stability and translocation

Suppression of nbe-miR1919c-5p Expression in Nicotiana benthamiana Enhances Tobacco Curly Shoot Virus and Its Betasatellite Co-Infection

MicroRNAs (miRNAs) are non-coding but functional RNA molecules of 21&ndash;25 nucleotides in length. MiRNAs play significant regulatory roles in diverse plant biological processes. In order to decipher the relationship between nbe-miR1919c-5p and the accumulations of tobacco curly shoot virus (TbCSV) and its betasatellite (TbCSB) DNAs, as well as viral symptom development, we investigated the function of nbe-miR1919c-5p during TbCSV and TbCSB co-infection in plants using a PVX-and a TRV-based short tandem target mimic (STTM) technology. Suppression of nbe-miR1919c-5p expression using these two technologies enhanced TbCSV and TbCSB co-infection-induced leaf curling symptoms in Nicotiana benthamiana plants. Furthermore, suppression of nbe-miR1919c-5p expression enhanced TbCSV and TbCSB DNA accumulations in the infected plants. Our results can advance our knowledge on the nbe-miR1919c-5p function during TbCSV and TbCSB co-infection

Single-Step Fabrication of High-Throughput Surface-Enhanced Raman Scattering Substrates

The combination of surface-enhanced Raman scattering (SERS) with high-throughput screening (HTS) has significant importance for highly sensitive and massive workload assays. Although fabrication of HTS–SERS substrates can be achieved by several methods, the high cost as well as large-equipment dependence limit their applications. Here, we report a simple method to fabricate HTS–SERS substrates within one-step process. The HTS–SERS substrate is fabricated by simply UV-irradiating a fluoroalkylsilane (FAS)-modified liquid-repellent TiO₂ surface in AgNO₃ solution through a photomask. Owing to the photocatalytic nature of TiO₂, the UV irradiation simultaneously triggers the degradation of the attached FAS and the generation of liquid-adhesive Ag nanoparticles (NPs) on exposed area. A HTS–SERS substrate could be directly obtained after UV irradiation. The deposited Ag NPs evidently enhance Raman signals, and the significant difference between the wettability of exposed area and masked area enables fast formation of high-throughput liquid droplet arrays through a simple dragging solution process. The fabrication method is applicable to various substrate materials, to introduce additional functionalities. The photocatalytic activity of TiO₂ also allows us to photobleach the residual analyte and Ag NPs after detection to recycle substrate. This single-step method is a highly promising candidate for the fabrication of HTS–SERS substrates

Thieno[3,2-b]thiophene-Diketopyrrolopyrrole-Containing Polymers for High-Performance Organic Field-Effect Transistors and Organic Photovoltaic Devices

We report the synthesis and polymerization of a novel thieno[3,2-b] thiophene-diketopyrrolopyrrole-based monomer. Copolymerization with thiophene afforded a polymer with a maximum hole mobility of 1.95 cm2 V -1 s-1, which is the highest mobility from a polymer-based OFET reported to date. Bulk-heterojunction solar cells comprising this polymer and PC71BM gave a power conversion efficiency of 5.4%. © 2011 American Chemical Society.SCOPUS: ar.jinfo:eu-repo/semantics/publishe