Clinical efficacy of sodium aescinate administration following endovenous laser ablation for varicose veins.

BACKGROUND: Endovenous interventions and minimally invasive procedures are effective in the management of varicose veins. However, they can cause postoperative discomfort. OBJECTIVE: To evaluate the clinical efficacy of sodium aescinate (SA) in improving edema, pain, vein-specific symptoms, and quality of life in patients following endovenous laser ablation (EVLA) for varicose veins. METHODS: In this single-center randomized controlled trial (RCT), patients were allocated into two groups: in Group A, 60 mg SA was administered twice daily for 20 days, and in Group B (control), no venoactive drug was prescribed. The Clinical-Etiology-Anatomy-Pathophysiology (CEAP) classification system for chronic venous disorders was used to assess the varicose veins. The circumferences of the calf and ankle were recorded for evaluating edema. The 10-point Visual Analog Scale (VAS), Venous Clinical Severity Score (VCSS), and Aberdeen Varicose Veins Questionnaire (AVVQ) were used to measure the pain intensity, overall varicose vein severity, and patient's quality of life, respectively. RESULTS: The study included 87 patients (mean age, 59.9 ± 10.7 years; 54 men) with CEAP class C2-C5 varicose veins who underwent EVLA and phlebectomy or foam sclerotherapy. The calf circumference recovered quicker in Group A than in Group B by days 10, 21, and 30 (difference from baseline was 1.04 ± 0.35 vs 2.39 ± 1.15 [p < .001], 0.48 ± 0.42 vs1.73 ± 1.00 [p < .001], and 0.18 ± 0.64 vs 0.82 ± 0.96 [p < .001], respectively). The ankle circumference recovered quicker in Group A than in Group B by days 10 and 21 (the difference from baseline was 1.37 ± 0.52 vs 2.36 ± 0.93 [p < .001] and 0.58 ± 0.60 vs 1.14 ± 0.88 [p = .002], respectively). Pain relief was achieved quicker in Group A than in Group B (0.257 ± 1.097 [p = .0863] vs 0.506 ± 1.250 [p = .0168] by day 21). There were no significant differences in the VCSS and AVVQ scores between both groups. There were no drug-related adverse effects. CONCLUSIONS: SA, in combination with compression therapy, can relieve edema and alleviate pain in patients following EVLA for varicose veins.

Effectiveness, reach, uptake and feasibility of digital health interventions for adults with venous thromboembolism: protocol of a systematic review and meta-analysis.

INTRODUCTION: Prevention of recurrence after an episode of venous thromboembolism (VTE), and also the post-thrombotic syndrome (PTS), is still a recognised challenge. In this meta-analysis, we will summarise existing evidence to compare intelligent system follow-up and routine follow-up for patients with VTE. METHODS AND ANALYSIS: Relevant randomised controlled trials (RCTs) and cohort studies will be included from the following databases: MEDLINE/PubMed, Web of Science and the Cochrane Library. The last search time will be 31 March 2024. Two reviewers will independently identify RCTs and cohort studies according to eligibility and exclusion criteria. The risk of bias of included cohort studies will be assessed with the Newcastle-Ottawa Scale, Methodological Index of Non-Randomised Studies, and the risk of bias of RCTs will be assessed with and Cochrane Collaboration's tool. The primary outcomes include overall survival rate and PTS incidence rate. The Grades of Recommendations, Assessment, Development and Evaluation tool will be used to assess the level of evidence for outcome from RCTs. RevMan V.5.4 software will be used to pool outcomes. ETHICS AND DISSEMINATION: Ethical approval was obtained from Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine Science Research Ethics Committee (SH9H-2023-T466-1). The findings will be disseminated to the public through conference presentations and publication in peer-reviewed scientific journals. PROSPERO REGISTRATION NUMBER: CRD42023410644.

Chestnut-Inspired Hollow Hydroxyapatite 3D Printing Scaffolds Accelerate Bone Regeneration by Recruiting Calcium Ions and Regulating Inflammation.

This study aims to overcome the drawbacks associated with hydroxyapatite (HAP) dense structures after sintering, which often result in undesirable features such as large grain size, reduced porosity, high crystallinity, and low specific surface area. These characteristics hinder osseointegration and limit the clinical applicability of the material. To address these issues, a new method involving the preparation of hollow hydroxyapatite (hHAP) microspheres has been proposed. These microspheres exhibit distinctive traits including weak crystallization, high specific surface area, and increased porosity. The weak crystallization aligns more closely with early mineralization products found in the human body and animals. Moreover, the microspheres' high specific surface area and porosity offer advantages for protein loading and facilitating osteoblast attachment. This innovative approach not only mitigates the limitations of conventional HAP structures but also holds the potential for improving the effectiveness of hydroxyapatite in biomedical applications, particularly in enhancing osseointegration. Three-dimensional printed hHAP/chitosan (CS) scaffolds with different hHAP concentration gradients were manufactured, and the physical and biological properties of each group were systematically evaluated. In vitro and in vivo experiments show that the hHAP/CS scaffold has excellent performance in bone remodeling. Furthermore, in-scaffold components, hHAP and CS were cocultured with bone marrow mesenchymal stem cells to explore the regulatory role of hHAP and CS in the process of bone healing and to reveal the cell-level specific regulatory network activated by hHAP. Enrichment analysis showed that hHAP can promote bone regeneration and reconstruction by recruiting calcium ions and regulating inflammatory reactions.

Integrative multi-omics analyses reveal vesicle transport as a potential target for thoracic aortic aneurysm.

BACKGROUND: Thoracic aortic aneurysm (TAA) refers to dilation and enlargement of the thoracic aorta caused by various reasons. Most patients have no apparent symptoms in the early stage and are subject to a poor prognosis once the aneurysm ruptures. It is crucial to identify individuals who are predisposed to TAA and to discover effective therapeutic targets for early intervention. METHODS: We conducted a label-free quantitative proteomic analysis among aorta tissue samples from TAA patients to screen differentially expressed proteins (DEPs) and key co-expression modules. Two datasets from Gene Expression Omnibus (GEO) database were included for integrative analysis, and the identified genes were subjected to immunohistochemistry (IHC) validation. Detailed vesicle transport related enrichment analysis was conducted and two FDA-approved drugs, chlorpromazine (CPZ) and chloroquine (CQ), were selected for in vivo inhibition of vesicle transport in mice TAA model. The diameter of thoracic aorta, mortality and histological differences after interventions were evaluated. RESULTS: We found significant enrichments in functions involved with vesicle transport, extracellular matrix organizing, and infection diseases in TAA. Endocytosis was the most essential vesicle transport process in TAA formation. Interventions with CPZ and CQ significantly reduced the aneurysm diameter and elastin degradation in vivo and enhanced the survival rates of TAA mice. CONCLUSIONS: We systematically screened the aberrantly regulated bioprocesses in TAA based on integrative multi-omics analyses, identified and demonstrated the importance of vesicle transport in the TAA formation. Our study provided pilot evidence that vesicular transport was a potential and promising target for the treatment of TAA.

Quantifying the clusterness and trajectoriness of single-cell RNA-seq data.

Among existing computational algorithms for single-cell RNA-seq analysis, clustering and trajectory inference are two major types of analysis that are routinely applied. For a given dataset, clustering and trajectory inference can generate vastly different visualizations that lead to very different interpretations of the data. To address this issue, we propose multiple scores to quantify the "clusterness" and "trajectoriness" of single-cell RNA-seq data, in other words, whether the data looks like a collection of distinct clusters or a continuum of progression trajectory. The scores we introduce are based on pairwise distance distribution, persistent homology, vector magnitude, Ripley's K, and degrees of connectivity. Using simulated datasets, we demonstrate that the proposed scores are able to effectively differentiate between cluster-like data and trajectory-like data. Using real single-cell RNA-seq datasets, we demonstrate the scores can serve as indicators of whether clustering analysis or trajectory inference is a more appropriate choice for biological interpretation of the data.

Ionic Liquid Bridge Assisting Bifacial Defect Passivation for Efficient All-Inorganic Perovskite Cells with High Open-Circuit Voltage.

Serious open-circuit voltage (Voc) loss originating from nonradiative recombination and mismatch energy level at TiO2/perovskite buried interface dramatically limits the photovoltaic performance of all-inorganic CsPbIxBr3-x (x = 1, 2) perovskite solar cells (PSCs) fabricated through low-temperature methods. Here, an ionic liquid (IL) bridge is constructed by introducing 1-butyl-3-methylimidazolium acetate (BMIMAc) IL to treat the TiO2/perovskite buried interface, bilaterally passivate defects and modulate energy alignment. Therefore, the Voc of all-inorganic CsPbIBr2 PSCs modified by BMIMAc (Target-1) significantly increases by 148 mV (from 1.213 to 1.361 V), resulting in the efficiency increasing to 10.30% from 7.87%. Unsealed Target-1 PSCs show outstanding long-term and thermal stability. During the accelerated degradation process (85 °C, RH: 50∼60%), the Target-1 PSCs achieve a champion PCE of 11.94% with a remarkable Voc of 1.403 V, while the control PSC yields a promising PCE of 10.18% with a Voc of 1.319 V. In particular, the Voc of 1.403 V is the highest Voc reported so far in carbon-electrode-based CsPbIBr2 PSCs. Moreover, this strategy enables the modified all-inorganic CsPbI2Br PSCs to achieve a Voc of 1.295 V and a champion efficiency of 15.20%, which is close to the reported highest PCE of 15.48% for all-inorganic CsPbI2Br PSCs prepared by a low-temperature process. This study provides a simple BMIMAc IL bridge to assist bifacial defect passivation and elevate the photovoltaic performance of all-inorganic CsPbIxBr3-x (x = 1, 2) PSCs.

The effects of cognitive-motor dual-task training on athletes' cognition and motor performance.

Background: Cognitive-Motor Dual Task (CMDT) training has been widely utilized in rehabilitation and sports practice. However, whether CMDT training can better enhance athletes' cognitive-motor performance compared to traditional single-task (ST) training remains unclear. Method: A systematic review that complied with PRISMA was carried out (Prospero registration number: CRD42023443594). The electronic databases used for the systematic literature search from the beginning through 13 June 2023, included Web of Science, Embase, PubMed, and the Cochrane Library. After obtaining the initial literature, two researchers independently assessed it based on inclusion and exclusion criteria. Finally, the included literature was analyzed to compare the differences between ST training and CMDT training. Results: After screening 2,094 articles, we included 10 acute studies and 7 chronic studies. Conclusion: This systematic review shows that athletes typically show a degradation of performance in CMDT situations as opposed to ST when evaluated transversally. However, this performance decline is notably reduced following longitudinal training in CMDT, indicating the effectiveness of sustained CMDT training in enhancing cognitive-motor performance under dual-task conditions. Our study provides new insights into the application of CMDT in the field of sports training. Practitioners can utilize CMDT to assess athletic skill levels or optimize cognitive-motor performance of athletes, taking into account the specific needs of each sport. Systematic review registration: https://www.crd.york.ac.uk/prospero, identifier CRD42023443594.

scDisInFact: disentangled learning for integration and prediction of multi-batch multi-condition single-cell RNA-sequencing data.

Single-cell RNA-sequencing (scRNA-seq) has been widely used for disease studies, where sample batches are collected from donors under different conditions including demographic groups, disease stages, and drug treatments. It is worth noting that the differences among sample batches in such a study are a mixture of technical confounders caused by batch effect and biological variations caused by condition effect. However, current batch effect removal methods often eliminate both technical batch effect and meaningful condition effect, while perturbation prediction methods solely focus on condition effect, resulting in inaccurate gene expression predictions due to unaccounted batch effect. Here we introduce scDisInFact, a deep learning framework that models both batch effect and condition effect in scRNA-seq data. scDisInFact learns latent factors that disentangle condition effect from batch effect, enabling it to simultaneously perform three tasks: batch effect removal, condition-associated key gene detection, and perturbation prediction. We evaluate scDisInFact on both simulated and real datasets, and compare its performance with baseline methods for each task. Our results demonstrate that scDisInFact outperforms existing methods that focus on individual tasks, providing a more comprehensive and accurate approach for integrating and predicting multi-batch multi-condition single-cell RNA-sequencing data.

[Retracted] MicroRNA­378 regulates cell proliferation and migration by repressing RNF31 in pituitary adenoma.

[This retracts the article DOI: 10.3892/ol.2017.7431.].

Chitosan-based hydrogels: From preparation to applications, a review.

Chitosan, derived from the deacetylation of chitin, is an abundant natural biopolymer on earth. Chitosan and its derivatives have become promising biological materials because of their unique molecular structure and excellent biological activities. The reactive functional groups of chitosan such as the amino and hydroxyl groups play a crucial role in facilitating the synthesis of three-dimensional hydrogel. Chitosan-based hydrogels have been widely used in medical, pharmaceutical, and environmental fields for years. Nowadays, chitosan-based hydrogels have been found in a wide range of applications in the food industry such as food sensors, dye adsorbents and nutrient carriers. In this review, recently developed methods for the preparation of chitosan-based hydrogels were given, and the biological activities of chitosan-based hydrogels were systematically introduced. Additionally, the recent progress in food sensors, packaging, dye adsorbents, and nutrient carriers was discussed. Finally, the challenges and prospects for the future development of chitosan-based hydrogels were discussed.

Multifunctional chitosan-based hydrogel wound dressing loaded with Acanthopanax senticosus and Osmundastrum cinnamomeum: Preparation, characterization and coagulation mechanism.

Considerable potential exists for the development of natural polymer hydrogels that possess notable antibacterial and anti-inflammatory properties, along with excellent biocompatibility and mechanical attributes, to expedite the healing of skin wounds. Recent endeavors have focused on formulating an optimal hydrogel dressing for wound hemostasis and repair. In this pursuit, we have crafted a composite hydrogel using carboxymethyl chitosan and alginic acid, cross-linked with EDC/NHS, and enriched with extracts from Acanthopanax senticosus and Osmundastrum cinnamomeum. This synthesized hydrogel showcases commendable features, including significant swelling capacity (135 ± 3.6%), proficient water retention (94.421 ± 0.154%), and effective water vapor permeability (5845.011 ± 467.799 g/m2/d). Moreover, our drug-loaded hydrogels (CMCS/SA/AS/OC) have demonstrated remarkable efficacy in accelerating wound healing in both in vivo and in vitro models. On the 7th day, the wound healing rate reached 94.905% ± 0.498%, and by the 14th day, the wound was nearly fully healed (98.08% ± 0.323%) with the emergence of hair coverage. Furthermore, these hydrogels exhibited remarkable hemostatic properties, the platelet activity was 89.37% ± 1.29% and the platelet adhesion rate was 66.36% ± 1.42%. In order to elucidate the coagulation mechanism of the Acanthopanax senticosus and Osmundastrum cinnamomeum extracts, a network pharmacology approach was carried out. 41 active compounds and 107 potential therapeutic targets associated with these extracts were identified, revealing a total of 132 coagulation pathways. Platelet activation and complement and coagulation cascades pathways showed the highest levels of enrichment by KEGG analysis, serving as potential mechanisms through which the active components in AS/OC may facilitate coagulation by targeting relevant factors. In summary, our study has successfully developed an innovative drug-loaded hydrogel that not only enhances wound hemostasis and healing but also provides insights into the underlying mechanisms through network pharmacology. This work establishes a robust theoretical foundation for the medical application of our hydrogel.

Transcriptome characteristics of epithelial cells from advanced non-small cell lung cancer were revealed by single-cell RNA sequencing.

BACKGROUND: Lung adenocarcinoma (LUAD) is the prevalent malignancy worldwide. The aim is to explore differentially expressed genes (DEGs) associated with immune infiltration and survival time of LUAD patients, and predict transcriptional factors for shedding new light on molecular mechanisms and individual therapy of LUAD. METHOD: ScRNA-seq data of LUAD patients was downloaded from GSE148071 and analyzed by R packages. The clustering and protein-protein interaction network were constructed for screening DEGs. Gene Set Enrichment Analysis (GSEA) and GO enrichment analysis were performed in epithelial cell subgroups with high differentiation potential. Potential regulatory transcription factors were predicted. RESULTS: Sixteen epithelial cell types were required and top 20 genes were identified on cell subgroup Epi4 with the highest differentiation potential associated with poor prognosis of LUAD in PPI network. GSEA and GO annotation results showed that cell subgroup Epi4 was enriched in the biological processes of cell proliferation and energy metabolism, and positively regulated the function of cell proliferation. TPI1 was significantly highly expressed in LUAD samples (p < .0001). TPI1 demonstrated a negative correlation with the infiltration levels of CD8+ T cells, CD4+ T cells, B cells, and activated mast cells, whilst manifesting a positive correlation with the infiltration levels of resident mast cells, Th2 cells, and MDSC. Epi4 was regulated by transcription factors MXD3 and GATA4. CONCLUSION: Overexpression of TPI1 was identified as a novel biomarker for LUAD, and potential regulatory transcription factors MXD3 and GATA4 regulated the proliferation of LUAD with the poor prognosis, which may serve as potential targets to suppress the proliferation of LUAD.

Altered salivary microbiota profile in patients with abdominal aortic aneurysm.

Evidence suggests that the DNA of oral pathogens is detectable in the dilated aortic tissue of abdominal aortic aneurysm (AAA), one of the most fatal cardiovascular diseases. However, the association between oral microbial homeostasis and aneurysm formation remains largely unknown. In this study, a cohort of individuals, including 53 AAA patients and 30 control participants (CTL), was recruited for salivary microbiota investigation by 16S rRNA gene sequencing and bioinformatics analysis. Salivary microbial diversity was decreased in AAA compared with CTL, and the microbial structures were significantly separated between the two groups. Additionally, significant taxonomic and functional changes in the salivary microbiota of AAA participants were observed. The genera Streptococcus and Gemella were remarkably enriched, while Selenomonas, Leptotrichia, Lautropia and Corynebacterium were significantly depleted in AAA. Co-occurrence network analysis showed decreased potential interactions among the differentially abundant microbial genera in AAA. A machine-learning model predicted AAA using the combination of 5 genera and 14 differentially enriched functional pathways, which could distinguish AAA from CTL with an area under the receiver-operating curve of 90.3 %. Finally, 16 genera were found to be significantly positively correlated with the morphological parameters of AAA. Our study is the first to show that AAA patients exhibit oral microbial dysbiosis, which has high predictive power for AAA, and the over-representation of specific salivary bacteria may be associated with AAA disease progression. Further studies are needed to better understand the function of putative oral bacteria in the etiopathogenesis of AAA. Importance: Host microbial dysbiosis has recently been linked to AAA as a possible etiology. To our knowledge, studies of the oral microbiota and aneurysms remain scarce, although previous studies have indicated that the DNA of some oral pathogens is detectable in aneurysms by PCR method. We take this field one step further by investigating the oral microbiota composition of AAA patients against control participants via high-throughput sequencing technologies and unveiling the potential microbial biomarker associated with AAA formation. Our study will provide new insights into AAA etiology, treatment and prevention from a microecological perspective and highlight the effects of oral microbiota on vascular health.

The risk factors of postoperative cognitive dysfunction in patients undergoing carotid endarterectomy: an updated meta-analysis.

OBJECTIVE: The purpose of the current meta-analysis was to determine the incidence and risk factors to provide a scientific basis for prevention and treatment of postoperative cognitive dysfunction (POCD) after carotid endarterectomy (CEA). METHODS: Relevant articles published before October 2022 were searched from Pubmed/MEDLINE, Cochrane and Embase databases. The outcomes were the incidence and risk factors for POCD. A random-effects model was applied to estimate the overall odds ratios (ORs) and mean differences (MDs) for all risk factors through STATA 14.0 and RevMan 5.4. The quality of eligible studies was evaluated by Newcastle-Ottawa Scale (NOS) as previously described. RESULTS: A total of 22 articles involving 3459 CEA patients were finally identified. The weighted mean incidence of POCD was 19% (95% confidence intervals (95% CI) 0.16-0.24, P < 0.001). Of the 16 identified risk factors, hyperperfusion (OR: 0.54, 95% CI 0.41-0.71) and degree of internal carotid artery (ICA) stenosis (OR: 5.06, 95% CI 0.86-9.27) were the potential risk factors of POCD, whereas patients taking statins preoperative had a lower risk of POCD (OR: 0.54, 95% CI 0.41-0.71). Subgroup analysis revealed that the risk of POCD at 1 month after CEA was higher in patients with diabetes (OR: 1.70, 95% CI 1.07-2.71). CONCLUSION: The risk factors of POCD were hyperperfusion and degree of ICA stenosis, while diabetes could significantly increase the incidence of POCD at 1 month after surgery. Additionally, preoperative statin use could be a protective factor for POCD following CEA.

Covered Stents vs Bare Metal Stents for Aortoiliac Arterial Diseases: A Systematic Review and Meta-Analysis.

PURPOSE: Covered stents and bare metal stents (BMS) have been regarded as viable treatment options for aortoiliac arterial diseases. We performed this systematic review and meta-analysis to compare the efficacy of covered stents with BMS for aortoiliac arterial diseases. MATERIALS AND METHODS: The Cochrane Library, Embase, and Medline databases were searched by 2 authors (C.Z. and Z.W.) to retrieve all studies comparing the outcomes of covered stents vs BMS for aortoiliac arterial diseases. The Cochrane tool and the Newcastle-Ottawa scale were used to assess the risk of bias in randomized controlled trials and observational studies, respectively. The outcomes at the same stage reported in at least 2 studies were pooled together. The fixed effects model combined the data when I2<50%, otherwise the random effects model was applied. The results for dichotomous variables were presented as odds ratio (OR) or risk difference and 95% confidence interval (CI); continuous variables were reported as mean difference and 95% CI. RESULTS: Herein, 10 studies with a total of 1695 limbs were included. The covered stents significantly increased the freedom from target lesion revascularization (OR 2.85, 95% CI: 1.28-6.33, p=0.010) compared to the BMS during a 24-month follow-up. However, no statistically significant difference was found in the technical success, primary patency, secondary patency, major adverse events (MAEs), ankle-brachial index (ABI) improvement, limb salvage, and survival between the two groups. CONCLUSION: Compared to BMS, covered stents appear to have similar technical success, primary patency, secondary patency, MAEs, ABI improvement, limb salvage, and survival but may have advantages in reducing target lesion revascularization. More well-designed, prospective studies are warranted to determine such findings. CLINICAL IMPACT: Covered stents may increase freedom from target lesion revascularization (TLR) compared to bare metal stents (BMS) in the treatment of aortoiliac arterial diseases. However, technical success, primary patency, secondary patency, major adverse events (MAEs), ABI improvement, limb salvage, and survival were similar. The aforementioned results are still not sufficient to draw a solid conclusion about the selection of stents for aortoiliac arterial diseases. More well-designed, prospective studies are warranted to determine such findings.

Application of 3D Printing Insole by Hemodynamics in Older Patients with Critical Limb Ischemia: Protocol for a Randomized Clinical Trial.

Introduction: Critical limb ischemia (CLI) is a severe condition characterized by inadequate blood flow to the lower extremities, often leading to tissue damage and amputation. CLI is characterized by microcirculatory dysfunction, muscle tissue necrosis, and inflammation. Patients may suffer from the traumatic pain and the increase of plantar pressure, and foot care for patients with CLI has become the "last mile" to improve their life quality. Traditional shoe insoles often lack individual customization, failing to address the unique anatomical needs and hemodynamic characteristics of patients. The study aims to investigate the effects of this innovative intervention on improving the clinical outcomes, and quality of life in CLI patients. Methods and Analysis: This Critical Limb Ischemia Hemodynamic Insole Study is a randomized controlled study performed to explore the effect of a 3D printing insole on foot care of CLI patients. This study recruitment began on November 1, 2021. Patients with CLI confirmed by clinical symptoms and imaging were recruited as the research objects. Participants will be randomly assigned to either the experimental group, which will receive 3D-printed insoles customized based on their hemodynamics, or the control group, which will receive traditionally manufactured insoles. Both groups were followed up for up to 24 months after surgery, including claudication distance, claudication time, pain score, rehospitalization, etc. Trial Registration Number: ChiCTR2100051857.

The association between walking pace and hand grip strength with the risk of chronic obstructive pulmonary disease: a bidirectional Mendelian randomization study.

BACKGROUND: Chronic Obstructive Pulmonary Disease (COPD) currently ranks as the third leading cause of mortality worldwide, imposing substantial burdens on societal and individual health. Amongst health research tools, walking pace (WP) and hand grip strength (HGS) are cornerstones, extensively associated with diverse health conditions. However, the intricate interplay between these factors and COPD risk remains ambiguous. This study aims to elucidate the causal association of WP, HGS, with COPD risk through a bidirectional Mendelian randomization (MR) approach. METHODS: Bidirectional MR analysis was performed using Genome-wide association study (GWAS) data of European individuals for WP, HGS, and COPD. Inverse Variance Weighted (IVW) served as the primary MR analysis approach. To supplement the IVW findings, four additional MR methods [MR-Egger, weighted median, maximum likelihood, simple median] were used. To assess heterogeneity and pleiotropy, sensitivity analyses were performed. In addition, multivariate MR (MVMR) analysis was used to assess causality after adjustment for potential confounders. RESULTS: IVW method results show a significant negative association between WP and COPD risk in both initial (genome-wide threshold, odds ratio (OR) = 0.21, 95% confidence interval (CI) 0.09-0.51, P = 5.06 × 10- 4) and secondary (locus-wide threshold, OR = 0.27, 95%CI: 0.18-0.41, P = 4.88 × 10- 10) MR analysis. The reverse MR analysis suggested that COPD also diminishes WP. Additionally, a causal risk reduction for COPD with right HGS (OR = 0.74, 95% CI: 0.58-0.94, P = 1.44 × 10- 2) was only found in secondary MR analysis. The outcomes of the four additional MR methods also suggested similar causal relationships, and sensitivity analyses endorsed their robustness. Lastly, the MVMR analysis demonstrated that the WP's effect on reducing COPD risk persisted independently of potential confounding variables. CONCLUSION: A bidirectional causal relationship exists between typical WP and COPD risk. Conversely, a decrease in right HGS is unidirectionally associated with an increased risk of COPD. The study suggests that WP may serve as a predictive factor for COPD or as a simple evaluative indicator for prognosis.

Causal effects of walking pace on osteoarthritis: a two-sample mendelian randomization study.

Background: Osteoarthritis (OA) is one of the most common joint diseases worldwide, imposing a substantial burden on individuals and society. Numerous pieces of evidence suggest that walking pace (WP) can serve as a predictive indicator for the risk of various diseases, and observational studies have also found a potential link between WP and the risk of OA. However, the causal relationship between WP and the risk of OA remains unclear. Methods: We conducted a mendelian randomization (MR) study using data from the European Genome-wide Association Study, which included WP (including 459,915 participants), OA (including 10,083 cases and 40,425 controls), knee OA (including 24,955 cases and 378,169 controls), and hip OA (including 15,704 cases and 378,169 controls). Single nucleotide polymorphisms (SNPs) associated with WP were utilized to infer causal associations with OA and its subtypes. The Inverse Variance Weighted (IVW) technique served as the primary causal analysis method. Three auxiliary MR methods - MR-Egger, weighted median, and maximum likelihood - were used to substantiate the IVW results. Sensitivity analyses were performed to examine heterogeneity and pleiotropy. In addition, multivariate MR (MVMR) analysis was used to assess causality after adjustment for three potential confounders. Results: According to the results of the IVW method, every 1 standard deviation increased in genetic WP corresponds to an 89% reduction in the risk of OA (odds ratio (OR) = 0.11; 95% confidence interval (CI), 0. 06-0.19; p = 1.57 × 10-13), an 83% reduction in the risk of knee OA (OR = 0.17; 95% CI, 0.11-0.28; p = 2.78 × 10-13), and a 76% reduction in the risk of hip OA (OR = 0.24; 95% CI, 0.14-0.43; p = 1.51 × 10-6). These results were confirmed by the three additional MR methods and validated by the sensitivity analysis. Ultimately, the MVMR analysis confirmed that the role of WP in reducing the risk of OA and its subtypes remains consistent regardless of potential confounders. Conclusion: The results of our MR study highlight a significant causal association between WP and the susceptibility to OA, including its knee and hip subtypes. These findings propose that WP could be utilized as a potential prognostic factor for OA risk.

Enhanced NIR-II Fluorescent Lateral Flow Biosensing Platform Based on Supramolecular Host-Guest Self-Assembly for Point-of-Care Testing of Tumor Biomarkers.

Point-of-care detection of tumor biomarkers with high sensitivity remains an enormous challenge in the early diagnosis and mass screening of cancer. Fluorescent lateral flow immunoassay (LFA) is an attractive platform for point-of-care testing due to its inherent advantages. Particularly, a fluorescent probe is crucial to improving the analytical performance of the LFA platform. Herein, we developed an enhanced second near-infrared (NIR-II) LFA (ENIR-II LFA) platform based on supramolecular host-guest self-assembly for detection of the prostate-specific antigen (PSA) as a model analyte. In this platform, depending on the effective supramolecular surface modification strategy, cucurbit[7]uril (CB[7])-covered rare-earth nanoparticles (RENPs) emitting in the NIR-II (1000-1700 nm) window were prepared and employed as an efficient fluorescent probe (RENPs-CB[7]). Benefiting from its superior optical properties, such as low autofluorescence, excellent photostability, enhanced fluorescence intensity, and increased antibody-conjugation efficiency, the ENIR-II LFA platform displayed a wide linear detection range from 0.65 to 120 ng mL-1, and the limit of detection was down to 0.22 ng mL-1 for PSA, which was 18.2 times lower than the clinical cutoff value. Moreover, the testing time was also shortened to 6 min. Compared with the commercial visible fluorescence LFA kit (VIS LFA) and the previously reported NIR-II LFA based on a RENPs-PAA probe, this ENIR-II LFA demonstrated more competitive advantages in analytical sensitivity, detection range, testing time, and production cost. Overall, the ENIR-II LFA platform offers great potential for the highly sensitive, rapid, and convenient detection of tumor biomarkers and is expected to serve as a useful technique in the general population screening of the high-incidence cancer region.

Establishing and Validating a Morphological Prediction Model Based on CTA to Evaluate the Incidence of Type-B Dissection.

Background: Many patients with Type B aortic dissection (TBAD) may not show noticeable symptoms until they become intervention and help prevent critically ill, which can result in fatal outcomes. Thus, it is crucial to screen people at high risk of TBAD and initiate the necessary preventive and therapeutic measures before irreversible harm occurs. By developing a prediction model for aortic arch morphology, it is possible to accurately identify those at high risk and take prompt action to prevent the adverse consequences of TBAD. This approach can facilitate timely the development of serious illnesses. Method: The predictive model was established in a primary population consisting of 173 patients diagnosed with acute Stanford TBAD, with data collected from January 2017 and December 2018, as well as 534 patients with healthy aortas, with data collected from April 2018 and December 2018. Explicitly, the data were randomly separated into the derivation set and validation set in a 7:3 ratio. Geometric and anatomical features were extracted from a three-dimensional multiplanar reconstruction of the aortic arch. The LASSO regression model was utilized to minimize the data dimension and choose relevant features. Multivariable logistic regression analysis and backward stepwise selection were employed for predictive model generation, combining demographic and clinical features as well as geometric and anatomical features. The predictive model's performance was evaluated by examining its calibration, discrimination, and clinical benefit. Finally, we also conducted internal verification. Results: After applying LASSO logistic regression and backward stepwise selection, 12 features were entered into the prediction model. Age, aortic arch angle, total thoracic aorta distance, ascending aorta tortuosity, aortic arch tortuosity, distal descending aorta tortuosity, and type III arch were protective factors, while male sex, hypertension, aortic arch height, and aortic arch distance were risk factors. The model exhibited satisfactory discrimination (AUC, 0.917 [95% CI, 0.890-0.945]) and good calibration in the derivation set. Applying the predictive model to the validation set also provided satisfactory discrimination (AUC, 0.909 [95% CI, 0.864-0.953]) and good calibration. The TBAD nomogram for clinical use was established. Conclusions: This study demonstrates that a multivariable logistic regression model can be used to predict TBAD patients.