Table_1_Exploring causal relationships between inflammatory cytokines and allergic rhinitis, chronic rhinosinusitis, and nasal polyps: a Mendelian randomization study.xlsx

ObjectivesPrevious research has suggested connections between specific inflammatory cytokines and nasal conditions, including Allergic Rhinitis (AR), Chronic Rhinosinusitis (CRS), and Nasal Polyps (NP). However, a lack of robust research establishing the causal underpinnings of them. This Mendelian Randomization (MR) study aims to evaluate the causal relationships between 41 inflammatory cytokines and the incidence of AR, CRS and NP.MethodsThis study employed a two-sample MR design, harnessing genetic variations derived from publicly accessible genome-wide association studies (GWAS) datasets. AR data was sourced from a GWAS with 25,486 cases and 87,097 controls (identifier: ukb-b-7178). CRS data originated from a GWAS encompassing 1,179 cases and 360,015 controls (identifier: ukb-d-J32). NP data was extracted from a GWAS involving 1,637 cases and 335,562 controls (identifier: ukb-a-541). The data for 41 inflammatory cytokines were obtained from an independent GWAS encompassing 8,293 participants. Inverse variance weighted (IVW), MR Egger regression and Weighted median were used to evaluate the causalities of exposures and outcomes. A range of sensitivity analyses were implemented to assess the robustness of the results.ResultsThe results revealed significant associations between elevated circulating levels of MIP-1α (odds ratio, OR: 1.01798, 95% confidence interval, CI: 1.00217–1.03404, p = 0.02570) and TNF-α (OR: 1.01478, 95% CI: 1.00225–1.02746, p = 0.02067) with an augmented risk of AR in the IVW approach. Heightened levels of circulating IL-2 exhibited a positive correlation with an increased susceptibility to NP in the IVW approach (OR: 1.00129, 95% CI: 1.00017–1.00242, p = 0.02434), whereas elevated levels of circulating PDGF-BB demonstrated a decreased risk of NP (OR: 0.99920, 95% CI: 0.99841–0.99999, p = 0.047610). The MR analysis between levels of 41 inflammatory cytokines and the incidence of CRS yielded no positive outcomes.ConclusionThis investigation proposes a potential causal association between elevated levels of MIP-1α and TNF-α with an elevated risk of AR, as well as an increased risk of NP linked to elevated IL-2 levels. Furthermore, there appears to be a potential association between increased levels of circulating PDGF-BB and a reduced risk of NP.</p

Self-Assembly of Gold Nanoparticles on Fullerene Nanospheres

A C60-pyrrolidine derivative with a hydrophobic−hydrophilic−hydrophobic structure (2-{3,4-di{2-[2-(2-decyloxyethoxy)ethoxy]ethoxy}}phenyl-3,4-fulleropyrrolidine, DTPF) has been synthesized and well-characterized. This compound could form stable nanospheres by simply injecting its tetrahydrofuran (THF) solution into water and then removing THF by purging gaseous nitrogen in sequence. Novel nanoassemblies of DTPF nanospheres and gold nanoparticles were obtained through in situ photoreduction of aqueous HAuCl4 in the presence of DTPF nanospheres, which were confirmed by UV−visible, transmission electron microscopy, X-ray powder diffraction, and X-ray photoelectron spectroscopy methods. It is proposed that the interaction between the positively charged nitrogen atom and the gold nanoparticles is the main driving force for the formation of the nanoassemblies

Supplementary Data from CD317 Activates EGFR by Regulating Its Association with Lipid Rafts

Supplementary Figures with legends - Supplementary Figures S1 through S4. (1) Supplementary Figure S1 shows that upregulation of CD317 expression correlates with tumorigenesis (supplementary to fig. 1). (2) Supplementary Figure S2 shows CD317 promotes xenograft growth in vivo (Supplementary to Fig. 1). (3) Supplementary Figure S3 shows the effects of CD317 and its artificial mutants in cell cycle regulation (Supplementary to Fig. 2). (4) Supplementary Figure S4 shows that CD317 promotes cell cycle transition through lipid raft-dependent EGFR regulation (Supplementary to Figs 3 and 4). Supplementary Table S1 - Supplementary Table S1 lists the sequences of shRNAs and siRNAs. Supplementary Table S2 - Supplementary Table S2 lists primers of PCR and RT-PCR.</p

Supplemental Material - Social Factors and Older Adults’ Use of Wearable Activity Trackers: Before and During the First Wave of the COVID-19 Pandemic

Supplemental Material for Social Factors and Older Adults’ Use of Wearable Activity Trackers: Before and During the First Wave of the COVID-19 Pandemic by Mengchi Li, Jing Huang, Chakra Budhathoki, Qiwei Li, Laura Samuel, Sarah L. Szanton, Jennifer A. Schrack, and Junxin Li in Journal of Applied Gerontology</p

Additional file 1: of CD317 Promotes the survival of cancer cells through apoptosis-inducing factor

Supporting Online Material for “CD317 Promotes the survival of cancer cells through apoptosis-inducing factor”. (DOCX 550 kb

PVK-Modified Single-Walled Carbon Nanotubes with Effective Photoinduced Electron Transfer

PVK-Modified Single-Walled Carbon Nanotubes with Effective Photoinduced Electron Transfe

DataSheet1_An Integrated Deep Learning and Molecular Dynamics Simulation-Based Screening Pipeline Identifies Inhibitors of a New Cancer Drug Target TIPE2.docx

The TIPE2 (tumor necrosis factor-alpha-induced protein 8-like 2) protein is a major regulator of cancer and inflammatory diseases. The availability of its sequence and structure, as well as the critical amino acids involved in its ligand binding, provides insights into its function and helps greatly identify novel drug candidates against TIPE2 protein. With the current advances in deep learning and molecular dynamics simulation-based drug screening, large-scale exploration of inhibitory candidates for TIPE2 becomes possible. In this work, we apply deep learning-based methods to perform a preliminary screening against TIPE2 over several commercially available compound datasets. Then, we carried a fine screening by molecular dynamics simulations, followed by metadynamics simulations. Finally, four compounds were selected for experimental validation from 64 candidates obtained from the screening. With surprising accuracy, three compounds out of four can bind to TIPE2. Among them, UM-164 exhibited the strongest binding affinity of 4.97 µM and was able to interfere with the binding of TIPE2 and PIP2 according to competitive bio-layer interferometry (BLI), which indicates that UM-164 is a potential inhibitor against TIPE2 function. The work demonstrates the feasibility of incorporating deep learning and MD simulation in virtual drug screening and provides high potential inhibitors against TIPE2 for drug development.</p