Pleiotropic role of GAS6 in cardioprotection against ischemia-reperfusion injury.

INTRODUCTION: Myocardial ischemia-reperfusion (IR) injury is a common medical issue contributing to the onset and progression of ischemic heart diseases (IHD). Growth arrest-specific gene 6 (GAS6) is vitamin K-dependent secretory protein, to promote cell proliferation and inhibit inflammation and apoptosis through binding with Tyro3, Axl, and Mertk (TAM) receptors. OBJECTIVES: Our study aimed to examine the effect of GAS6 pathways activation as a potential new treatment in myocardial ischemia-reperfusion (IR) injury. METHODS: Gain- and loss-of-function experiments were utilized to determine the roles of GAS6 in the pathological processes of myocardial IR injury. RESULTS: Our results revealed down-regulated levels of GAS6, Axl, and SIRT1 in murine hearts subjected to IR injury, and cardiomyocytes challenged with hypoxia reoxygenation (HR). GAS6 overexpression significantly improved cardiac dysfunction in mice subjected to myocardial IR injury, accompanied by reconciled mitochondrial dysfunction, oxidative stress, and apoptosis. In vitro experiments also observed a protective effect of GAS6 in cardiomyocytes. SIRT1 was found to function as a downstream regulator for GAS6/Axl signaling axis. Through screening a natural product library, a polyphenol natural compound catechin was identified to exhibit a protective effect by turning on GAS6/Axl-SIRT1 cascade. CONCLUSIONS: Together, our findings indicate that GAS6 emerges as a potential novel target in the management of myocardial IR injury and other related anomalies.

Developing a cognitive model of solid geometry based on Interpretive Structural Modeling method.

With the advancement of science and artificial intelligence, education is experiencing significant innovation. The adaptive learning system is emerging as a promising approach to achieving personalized learning. The cognitive model plays a crucial role as the fundamental rationale behind the adaptive learning system. Currently, there is no uniform and highly operational method for constructing cognitive models. This study adopts Interpretive Structural Modeling (ISM) as the foundational approach for constructing a cognitive model of solid geometry. Based on literature and expert opinions, 17 cognitive attributes of high school solid geometry were identified. Subsequently, a questionnaire survey involving 40 experts was conducted to establish the contextual relationships among these attributes. Applying the ISM method resulted in a seven-level model. This model was then revised based on expert opinions to create the final cognitive model, revealing three primary paths within the domain of high school solid geometry. This paper contends that the use of the ISM method for constructing cognitive models is effective and objective. The resulting cognitive model unveils the content structure of high school solid geometry, and provides an innovative perspective on the construction of cognitive models.

Strong, tough and anisotropic bioinspired hydrogels.

Soft materials are widely used in tissue engineering, soft robots, wearable electronics, etc. However, it remains a challenge to fabricate soft materials, such as hydrogels, with both high strength and toughness that are comparable to biological tissues. Inspired by the anisotropic structure of biological tissues, a novel solvent-exchange-assisted wet-stretching strategy is proposed to prepare anisotropic polyvinyl alcohol (PVA) hydrogels by tuning the macromolecular chain movement and optimizing the polymer network. The reinforcing and toughening mechanisms are found to be "macromolecule crystallization and nanofibril formation". These hydrogels exhibit excellent mechanical properties, such as extremely high fracture stress (12.8 ± 0.7 MPa) and fracture strain (1719 ± 77%), excellent modulus (4.51 ± 0.76 MPa), high work of fracture (134.47 ± 9.29 MJ m-3), and fracture toughness (305.04 kJ m-2) compared with other strong hydrogels and even natural tendons. In addition, excellent conductivity, strain sensing capability, water retention, freezing resistance, swelling resistance, and biocompatibility can also be achieved. This work provides a new and effective method to fabricate multifunctional anisotropic hydrogels with high tunable strength and toughness with potential applications in the fields of regenerative medicine, flexible sensors, and soft robotics.

The prognostic value of the visually assessed time difference between mitral valve and tricuspid valve opening score for patients with heart failure with mildly reduced ejection fraction.

BACKGROUND: The visually assessed time difference between the mitral valve and tricuspid valve opening (VMT) score was correlated with the increase of left ventricular filling pressure (LVFP). HYPOTHESIS: We suspected that the VMT score might be a valuable prognostic biomarker for heart failure with mildly reduced ejection fraction (HFmrEF) patients. This study was to evaluate the predictive value of VMT score for 1-year all-cause and cardiovascular disease (CVD)-cause mortality in HFmrEF patients. METHODS: This cohort study enrolled 379 patients aged ≥18 years old with HFmrEF. Univariable and multivariable Cox regression analysis was employed to assess the association between VMT score and all-cause or CVD-cause mortality in HFmrEF patients. Hazards ratio (HR), and 95% confidence interval (CI) were effect sizes. Kaplan-Meier curves showed the survival probability of patients. The area under the curve (AUC) evaluated the prognostic value of the VMT score. RESULTS: The risk of all-cause mortality was increased in HFmrEF patients in the VMT score of 2 (HR = 2.80, 95%CI: 1.04-7.52) and 3 (HR = 4.29, 95%CI: 1.58-11.66). The VMT score of 3 was associated with an increased risk of 1-year CVD-cause mortality in patients with HFmrEF (HR = 7.63, 95%CI: 1.70-34.33). The AUC of VMT score for predicting 1-year all-cause mortality of HFmrEF patients was 0.724, and for predicting 1-year CVD-cause mortality of HFmrEF patients was 0.748. The survival probability of patients with the VMT score < 2 was higher than those with the VMT score of 2 and 3. CONCLUSION: The VMT score might be a reliable prognostic index for 1-year all-cause or CVD-cause mortality of HFmrEF patients.

Association between serum insulin-like growth factor 1 levels and the improvements of cognitive impairments in a subgroup of schizophrenia: Preliminary findings.

BACKGROUND: Numerous studies have implicated abnormal insulin-like growth factor 1 (IGF-1) in the pathophysiology of schizophrenia, but findings have been inconsistent. METHODS: We conducted a meta-analysis to compare IGF-1 levels in schizophrenia patients with healthy controls and explored factors contributing to variability between estimates. In an independent sample (58 chronic schizophrenia patients and 30 healthy controls), we investigated differences in IGF-1 levels among schizophrenia subgroups with distinct cognitive profiles, identified using k-means clustering based on five cognitive domains from The Repeatable Battery for the Assessment of Neuropsychological Status. Associations between serum IGF-1 levels and clinical and neurocognitive improvements were also examined. RESULTS: The meta-analysis revealed significantly lower serum IGF-1 levels in schizophrenia patients compared to healthy controls, albeit with high heterogeneity. Medication status, BMI, and severity of negative symptoms were identified as potential contributors to this heterogeneity. In our independent study, antipsychotic treatment led to a significant increase in IGF-1 levels, and lower pre-treatment serum IGF-1 levels correlated with greater improvement in cognitive deficits, particularly in a subgroup with more severe cognitive symptoms. CONCLUSIONS: Our findings support the "IGF-1 deficiency hypothesis" in the pathogenesis of schizophrenia. Further research is crucial to elucidate the role of IGF-1 in the cognitive impairments associated with schizophrenia.

Research hotspots and development trends of international learning cycle model:Bibliometric analysis based on CiteSpace.

The Learning Cycle Model (LCM) is an inquiry-based teaching strategy and curriculum model that has been researched and practiced for almost half a century and has achieved good educational results in science education, especially in primary and secondary schools. This study collected LCM educational research data to better understand the recent progress of LCM educational research. It used the bibliometric analysis software CiteSpace for the first time to sort out the overall development of LCM. Compared to other literature review methods, we obtained a more comprehensive picture of the current research hotspots and future research trends in LCM research. First, we searched 498 articles from the Web of Science core collection between 2000 and May 16, 2023. The trajectory of LCM research was identified by analyzing publication trends, authors, countries/regions, and research institutions. Secondly, we obtained the keyword co-occurrence map and clustering map through CiteSpace's built-in algorithm to analyze the main areas and research frontiers of this study. Meanwhile, the development trend is shown by co-keyword burst detection. After analysis, this study found that the current research hotspot findings focus on conceptual learning, validity research, and integration with different teaching processes. The research frontiers are mainly related to teacher professional development and research on the impact of LCM on learning outcomes. Finally, this study discusses future research directions, including research on the impact of LCM on 21st century skills, comparison with other modes of inquiry teaching and learning, and its use in engineering education, to promote better development of LCM.

Effects of 3-month dapagliflozin on left atrial function in treatment-naïve patients with type 2 diabetes mellitus: Assessment using 4-dimensional echocardiography.

BACKGROUND: The sodium-glucose transporter-2 (SGLT-2) inhibitor dapagliflozin can improve left ventricular (LV) performance in patients with type 2 diabetes mellitus (T2DM). However, the effects on left atrial (LA) function in treatment-naïve T2DM patients remain unclear. The aim of our study was 1) to investigate the effects of 3-month treatment with dapagliflozin on LA function in treatment-naïve patients with T2DM using 4-dimensional automated LA quantification (4D Auto LAQ) and 2) to explore linked covariation patterns of changes in clinical and LA echocardiographic variables. METHODS: 4D Auto LAQ was used to evaluate LA volumes, longitudinal and circumferential strains in treatment-naïve T2DM patients at baseline, at follow-up, and in healthy control (HC). Sparse canonical correlation analysis (sCCA) was performed to capture the linked covariation patterns between changes in clinical and LA echocardiographic variables within the treatment-naïve T2DM patient group. RESULTS: This study finally included 61 treatment-naïve patients with T2DM without cardiovascular disease and 39 healthy controls (HC). Treatment-naïve T2DM patients showed reduced LA reservoir and conduit function at baseline compared to HC, independent of age, sex, BMI, and blood pressure (LASr: 21.11 ± 5.39 vs. 27.08 ± 5.31 %, padjusted = 0.017; LAScd: -11.51 ± 4.48 vs. -16.74 ± 4.51 %, padjusted = 0.013). After 3-month treatment with dapagliflozin, T2DM patients had significant improvements in LA reservoir and conduit function independent of BMI and blood pressure changes (LASr: 21.11 ± 5.39 vs. 23.84 ± 5.74 %, padjusted < 0.001; LAScd: -11.51 ± 4.48 vs. -12.75 ± 4.70 %, padjusted < 0.001). The clinical and LA echocardiographic parameters showed significant covariation (r = 0.562, p = 0.039). In the clinical dataset, changes in heart rate, insulin, and BMI were most associated with the LA echocardiographic variate. In the LA echocardiographic dataset, changes in LAScd, LASr, and LASr_c were most associated with the clinical variate. CONCLUSION: Compared with HC, treatment-naïve patients with T2DM had lower LA function, and these patients benefited from dapagliflozin administration, particularly in LA function.

A spatial sequencing atlas of age-induced changes in the lung during influenza infection.

Influenza virus infection causes increased morbidity and mortality in the elderly. Aging impairs the immune response to influenza, both intrinsically and because of altered interactions with endothelial and pulmonary epithelial cells. To characterize these changes, we performed single-cell RNA sequencing (scRNA-seq), spatial transcriptomics, and bulk RNA sequencing (bulk RNA-seq) on lung tissue from young and aged female mice at days 0, 3, and 9 post-influenza infection. Our analyses identified dozens of key genes differentially expressed in kinetic, age-dependent, and cell type-specific manners. Aged immune cells exhibited altered inflammatory, memory, and chemotactic profiles. Aged endothelial cells demonstrated characteristics of reduced vascular wound healing and a prothrombotic state. Spatial transcriptomics identified novel profibrotic and antifibrotic markers expressed by epithelial and non-epithelial cells, highlighting the complex networks that promote fibrosis in aged lungs. Bulk RNA-seq generated a timeline of global transcriptional activity, showing increased expression of genes involved in inflammation and coagulation in aged lungs. Our work provides an atlas of high-throughput sequencing methodologies that can be used to investigate age-related changes in the response to influenza virus, identify novel cell-cell interactions for further study, and ultimately uncover potential therapeutic targets to improve health outcomes in the elderly following influenza infection.

A Study on Differential Effects of Mathematics Reading Ability on Students' Value-Added Mathematics Achievements.

Value-added assessments have become a reasonable and accepted assessment method for education and teaching. Mathematics reading ability is an important ability in mathematics learning which provides a prerequisite for solving mathematical problems. With the aim of uncovering the effects of mathematics reading ability on the continuous development of mathematics learning, this study focuses on the value added to students' mathematics reading ability as well as their mathematics performance. From a longitudinal perspective, we collected academic achievement data for 463 s-grade students, including their scores on their mathematics reading ability, which were then used a developed measurement tool. Building on Weiss's "Theory of Change", the students were divided into four categories: high academic achievement and high value-added, low academic achievement and high value-added, low academic achievement and low value-added, and high academic achievement and low value-added. Finally, we discussed the impact of the students' reading abilities in mathematics on their overall achievement. This study reveals a close correlation between mathematics reading skills and value-added performance. Higher scores in mathematics reading indicate higher value-added levels. For students with initially high scores, their mathematics reading skills greatly contributed to their high value-added performance.

Application of pesticide application measures to reduce residue based on the metabolic transfer law of imidacloprid in banana leaves and soil.

An investigation of the metabolism and transfer of imidacloprid (IMI) in banana plants and soil was performed using high-resolution mass spectrometry. Results indicated the presence of eight IMI metabolites in soil and leaves that resulted from hydroxylation of the imidazolidine ring, the reduction and loss of nitro groups, and oxidative cleavage of methylene bridges. Six metabolites, including 4/5-hydroxy IMI (4/5-hydroxy), IMI olefin (olefin), and 6-chloronicotinic acid (6-CNA), were detected in the fruits following leaf treatment, while only three were detected after soil treatment. Quantitative analysis showed that the total amount of imidacloprid and its metabolites transferred from leaves to fruits was higher than that transferred from soil to fruits. Therefore, leaf transfer was considered the main means by which IMI and its metabolites transferred to banana fruits. We found that adjuvants tank-mixed with IMI could reduce the total concentration of pesticide transfer from leaves to fruits, especially reducing the amount of metabolites transformed from the reduction and loss of nitro groups and oxidative cleavage of methylene bridges, thus reducing the pesticide residue in fruits and achieving the purpose of reducing the safety risk.

BATF is Required for Treg Homeostasis and Stability to Prevent Autoimmune Pathology.

Regulatory T (Treg) cells are inevitable to prevent deleterious immune responses to self and commensal microorganisms. Treg function requires continuous expression of the transcription factor (TF) FOXP3 and is divided into two major subsets: resting (rTregs) and activated (aTregs). Continuous T cell receptor (TCR) signaling plays a vital role in the differentiation of aTregs from their resting state, and in their immune homeostasis. The process by which Tregs differentiate, adapt tissue specificity, and maintain stable phenotypic expression at the transcriptional level is still inconclusivei. In this work, the role of BATF is investigated, which is induced in response to TCR stimulation in naïve T cells and during aTreg differentiation. Mice lacking BATF in Tregs developed multiorgan autoimmune pathology. As a transcriptional regulator, BATF is required for Treg differentiation, homeostasis, and stabilization of FOXP3 expression in different lymphoid and non-lymphoid tissues. Epigenetically, BATF showed direct regulation of Treg-specific genes involved in differentiation, maturation, and tissue accumulation. Most importantly, FOXP3 expression and Treg stability require continuous BATF expression in Tregs, as it regulates demethylation and accessibility of the CNS2 region of the Foxp3 locus. Considering its role in Treg stability, BATF should be considered an important therapeutic target in autoimmune disease.

miR-152-3p Inhibits Proliferation, Invasion and Autophagy in UMUC3 and TCCSUP Bladder Cancer Cell Lines via Suppressing HMGA2 Expression.

OBJECTIVE: MicroRNAs have been reported to be involved in the regulation of tumor progression. This study investigated the role of miR-152-3p in bladder cancer development. METHODS: A total of 67 bladder cancer cases were enrolled. miR-152-3p expression in bladder cancer tissues and cells were detected using quantitative reverse transcriptase polymerase chain reaction. Bladder cancer cells were transfected by miR-152-3p mimic and inhibitor to up-regulate and down-regulate miR-152-3p expression. After transfection, cell counting kit-8 assay, flow cytometry, Brdu staining assay, transwell experiment and wound healing assay were conducted to research the effect of miR-152-3p up-regulation/down-regulation on bladder cancer cell viability, apoptosis, proliferation, invasion and migration abilities. The expression of high-mobility group protein A2 (HMGA2) and autophagy-related proteins was researched using Western blot. The interaction between miR-152-3p and HMGA2 was explored by dual luciferase reporter gene assay. RESULTS: Low miR-152-3p expression in tumor tissues bladder cancer patients was associated with poor prognosis. miR-152-3p expression was abnormally down-regulated in bladder cancer cells. miR-152-3p up-regulation inhibited viability, proliferation, invasion, migration but promoted apoptosis of bladder cancer cells. miR-152-3p down-regulation showed the opposite effects. miR-152-3p up-regulation suppressed the expression of Beclin 1 and LC3II/LC3I proteins in bladder cancer cells, but miR-152-3p down-regulation increased them. HMGA2 was target of miR-152-3p, which could be directly inhibited by miR-152-3p. HMGA2 up-regulation reversed the inhibitory effect of miR-152-3p on bladder cancer cell malignant phenotype. CONCLUSION: miR-152-3p inhibited malignant phenotype of bladder cancer cell lines via suppressing HMGA2 expression.

Genome-wide association analysis of kernel nutritional quality in two natural maize populations.

As one of the three staple crops, nutritional traits in maize are important for human and animal nutrition. Grain quality-related traits are closely related to grain commercial value. Understanding the genetic basis of quality-related traits in maize would be helpful for breeding high-quality maize varieties. In this study, two association panels (AM122 and AM180) were subjected to genome-wide association analysis of grain quality-related traits, including protein content, oil content, starch content, and fiber content. In total, 98 SNPs (P < 1 × 10-4) were identified to be significantly associated with these four grain quality-related traits. By integrating two sets of public transcriptome data, 31 genes located in 200 kb regions flanking the associated SNP showed high expression during kernel development and were differentially expressed in two maize inbred lines, KA225 and KB035, with significantly different quality. These genes might regulate maize grain quality by participating in plant hormone processes, autophagy processes, and others. All these results could provide important reference information for breeding high­quality maize varieties. Supplementary Information: The online version contains supplementary material available at 10.1007/s11032-023-01360-w.

A Theoretical Framework for a Mathematical Cognitive Model for Adaptive Learning Systems.

The emergence of artificial intelligence has made adaptive learning possible, but building an adaptive system requires a comprehensive understanding of students' cognition. The cognitive model provides a crucial theoretical framework to explore students' cognitive attributes, making it vital for learning assessment and adaptive learning. This study investigates 52 experts, including primary and secondary school teachers, mathematics education experts, and graduate students, based on the 16 cognitive attributes in the TIMSS 2015 assessment framework. Through an analysis of their attribute questionnaires, the Interpretive structural modeling (ISM) method is used to construct a five-level mathematical cognitive model. The model is then revised through oral reports and expert interviews, resulting in a final cognitive model ranging from "memorize" to "justify". The cognitive model describes the relationship between different attributes in detail, enabling the development of adaptive systems and aiding in the diagnosis of students' cognitive development and learning paths in mathematics.

How to better balance academic achievement and learning anxiety from time on homework? A multilevel and classification and regression tree analyses.

Using education survey data from 153, 317 Grade 4 students and 150, 040 Grade 8 students in China, this study examined the relationship between time on homework and academic achievement and learning anxiety with hierarchical linear modeling (HLM) and classification and regression tree (CART) approaches. With a classification of time spent on homework into four related variables, this study found that, firstly, time spent on in-school homework during weekdays had positive effects on students' achievement for both grades, and the positive effect was stronger for Grade 8 students than Grade 4 students. Moreover, a maximum of 1 h was recommended for Grade 4 students. Secondly, time spent on out-of-school homework on weekdays was negatively correlated with students' academic achievement and positively with learning anxieties. It had greater detrimental effect on Grade 8 than Grade 4. Thirdly, Grade 8 students were encouraged to have more out-of-school homework on weekend with more than 2.8 h on average recommended. It was expected to complement extant studies and provide the practical findings for teachers, practitioners and school policy makers in making any homework assignment planning or conducting interventions.

The lncRNA OIP5-AS1/miR-4500 axis targeting ARG2 modulates oxidative stress-induced premature senescence in endothelial cells: implications for vascular aging.

BACKGROUND: Endothelial senescence due to increased age or oxidative stress can cause endothelial dysfunction, which is strongly associated with the pathogenesis of cardiovascular diseases (CVDs). RESEARCH DESIGN AND METHODS: Hydrogen peroxide (H2O2) was used to induced human umbilical vein endothelial cells (HUVECs) senescence model. Cell senescence and cell proliferation were assessed by SA-ß-gal staining and PCNA staining. Nitric oxide (NO) and reactive oxygen species (ROS) levels were detected by DAF-2 DA and DCFH-DA. Inflammatory indicators were quantified by qPCR. Meanwhile, western blot was used to examine the ARG2 protein. Finally, an aging mice model induced by H2O2 was established to confirm the role of OIP5-AS1/miR-4500/ARG2 in endothelial dysfunction in vivo. RESULTS: ARG2 was upregulated and miR-4500 was reduced in H2O2-induced HUVECs. MiR-4500 negatively regulates ARG2 expression, meanwhile ameliorating H2O2-induced ECs senescence and dysfunction. Targeted interactions among OIP5-AS1, miR-4500, and ARG2 were confirmed by dual-luciferase reporter assays. OIP5-AS1 as miR4500 sponge negatively mediates miR-4500 expression, and is upregulated upon H2O2 stimulation in HUVECs. OIP5-AS1 depletion shows the protective effects on H2O2-induced ECs senescence, dysfunction, and SASP. In vivo, a higher expression of OIP5-AS1 and ARG2 in the aortas of aged mice. CONCLUSIONS: We disclosed a regulatory mechanism for OIP5-AS1/miR-4500/ARG2 in the regulation of oxidative stress-related ECs senescence and vascular aging.

Comparison of missed adenomas in deep-sedated and unsedated colonoscopy: A multicenter retrospective study.

BACKGROUND: Deep-sedated colonoscopy with propofol is widely used in China. However, its impact on quality metrics remains controversial. We aimed to investigate the effects of deep-sedated colonoscopy on missed adenomas, specifically in each colorectal segment. METHODS: Data of 3710 individuals from seven hospitals in China who underwent an initial colonoscopy with or without propofol sedation and a second colonoscopy without sedation within six months for surveillance or polypectomy by endoscopist of the same level between October 2020 and September 2021 were retrospectively analyzed. RESULTS: A total of 1113 missed adenomas in 3710 patients were evaluated. The adenoma miss rate (AMR) was significantly higher in deep-sedated colonoscopy than in unsedated colonoscop [19.14% (578/3020) vs. 16.15% (535/3313), P < 0.05]. The risk of missing adenomas in deep-sedated colonoscopy was 1.229 times higher than in unsedated colonoscopy (OR, 1.229; 95% CI: 1.080-1.399). AMRs of the splenic flexure (26.02% [96/369] vs. 16.04% [47/293], P < 0.05) and descending colon (20.86% [102/489] vs. 13.37% [54/404], P < 0.05) were significantly higher in deep-sedated colonoscopy than in unsedated colonoscopy when performed by middle-level endoscopists rather than high-level endoscopists (P < 0.05). CONCLUSIONS: AMR was higher in deep-sedated colonoscopy than in unsedated colonoscopy. Furthermore, adenomas in the splenic flexure and descending colon were more frequently missed in deep-sedated colonoscopy than in unsedated colonoscopy, particularly when performed by less experienced endoscopists.

Cognitive model construction and assessment of data analysis ability based on CDA.

Ability of data analysis, as one of the essential core qualities of modern citizens, has received widespread attention from the international education community. How to evaluate students' data analysis ability and obtain the detailed diagnosis information is one of the key issues for schools to improve education quality. With an employment of cognitive diagnostic assessment (CDA) as the basic theoretical framework, this study constructed the cognitive model of data analysis ability for 503 Grade 9 students in China. The follow-up analyses including the learning path, learning progression and corresponding personalized assessment were also provided. The result indicated that first, almost all the students had the data awareness. Furthermore, the probability of mastering the attribute Interpretation and inference of data was relatively low with only 60% or so. Also, the probabilities of mastering the rest of attributes were about 70% on average. It was expected that this study would provide a new cognitive diagnostic perspective on the assessment of students' essential data analysis abilities.

Gold-Catalyzed Divergent Ring-Opening Rearrangement of Cyclopropenes Enabled by Dichotomous Gold-Carbenes.

The gold-catalyzed ring-opening rearrangement of cyclopropenes affords an efficient route to either polysubstituted naphthols or aryl-substituted furans. Owing to the unique dichotomy of gold-carbenes, this protocol provides a switchable reaction selectivity between naphthols and furans enabled by the use of TFP-Au(MeCN)SbF6 (tri(2-furyl) phosphine) or PNP(AuNTf2 )2 (bis(diphenylphosphino)(isopropyl) amine) as catalysts respectively. It is proposed that the gold-carbene intermediate might be involved in the cyclopropene→naphthol rearrangement while the gold-carbocation is more likely to be involved in the cyclopropene→furan rearrangement.

Comparison of adenoma detection in different colorectal segments between deep-sedated and unsedated colonoscopy.

To investigate if deep-sedated colonoscopy affects adenoma detection in certain colorectal segment. Review of colonoscopy reports, electronic images and medical records of individuals underwent screening colonoscopy with or without propofol sedation between October 2020 and March 2021 from seven hospitals in China. A total of 4500 individuals were analyzed. There was no significant difference in ADR between deep-sedated colonoscopy and unsedated colonoscopy [45.4% vs. 46.3%, P > 0.05]. The APP of deep-sedated colonoscopy was lower than unsedated colonoscopy (1.76 ± 0.81 vs. 2.00 ± 1.30, P < 0.05). Both average number of adenomas and luminal distention score of splenic flexure and descending colon were lower in deep-sedated colonoscopy (P < 0.05), and average number of adenomas was positively correlated with an improved distension score in splenic flexure and descending colon (splenic flexure r = 0.031, P < 0.05; descending colon r = 0.312, P < 0.05). Linear regression model showed deep-sedated colonoscopy significantly affected luminal distention of splenic flexure and descending colon as well as average number of adenomas detected in splenic flexure (P < 0.05). Deep-sedated colonoscopy decreased adenoma detection in splenic flexure and the luminal distention of splenic flexure and descending colon compared with unsedated colonoscopy.