Prevalence of Vision Loss in North Africa and Middle East in 2020: Magnitude and Temporal Trends by Vision Loss Expert Group of the Global Burden of Disease Study (20987841)

“…</p> <p>Although the absolute numbers of people with blindness and MSVI have increased between 1990 and 2020 in NAME region, the overall prevalence and the age standardized prevalence in those aged 50+ years have decreased significantly for the same period.</p>…”

Deletion of glycosyltransferase <i>galE</i> impairs the InlB anchoring and pathogenicity of <i>Listeria monocytogenes</i> by Xiaowei Fang (696967)

“…We found that <i>galE</i> deletion reduced InlB anchoring, weakened bacterial adhesion and invasion of Caco-2 cells (human colorectal adenocarcinoma cells) and MGC803 cells (human gastric carcinoma cells), increased phagocytosis but decreased proliferation in RAW264.7 cells (mouse mononuclear macrophage leukaemia cells), and decreased bacteria load, mortality, and tissue damage in infected mice. …”

Characterisation of conidial length and ascospore production in <i>ΔFgknr4</i> and complemented strains. by Erika Kroll (20537020)

“…<p><b>A.</b> Decreased conidial length observed in <i>ΔFgknr4</i>. …”

Table 1_Resveratrol targeting MDM2/P53/PUMA axis to inhibit colonocyte apoptosis in DSS-induced ulcerative colitis mice.xlsx by Rui Tang (298719)

“…</p>Materials and Methods<p>We used dextran sulfate sodium (DSS) to induce UC in a mouse model. …”

Gastric microbiome composition accompanied with the <i>Helicobacter pylori</i> related DNA methylation anomaly by Takuya Shijimaya (16928363)

“…Multivariate analysis demonstrated older age (t = 3.46, <i>p</i> = 0.0007), <i>H. pylori</i> infection (t = 9.99, <i>p</i> < 0.0001) and lower bacterial alfa diversity (Shannon index: t = -2.34, <i>p</i> = 0.02) were significantly associated with CGI hypermethylation. In genus or family levels, increased abundance of <i>Helicobacter</i> was associated with hyper CGI methylation with strongest correlation, while decreased abundance of four bacteria (<i>Intrasporangiaceae family, Macellibacteroides</i>, <i>Peptostreptococcus</i> and <i>Dietziaceae family</i>) was also associated with hyper CGI methylation. …”

Data Sheet 1_Artificial intelligence–enhanced mapping of the international classification of functioning, disability and health via a mobile app: a randomized controlled trial.zip... by Zhandos Kurban (21985553)

“…Mean SUS score among physicians was 86.8, indicating excellent usability and acceptability.…”

Image 3_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.tif by Bin He (75597)

“…These subtypes exhibited significantly different distributions between AF and SR. …”

Table 3_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.xlsx by Bin He (75597)

“…These subtypes exhibited significantly different distributions between AF and SR. …”

Table 8_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.xlsx by Bin He (75597)

“…These subtypes exhibited significantly different distributions between AF and SR. …”

DataSheet1_The β2-adrenergic biased agonist nebivolol inhibits the development of Th17 and the response of memory Th17 cells in an NF-κB-dependent manner.docx by Mehri Hajiaghayi (19822665)

“…</p>Results<p>Nebivolol treatment decreased IL-17A and IFN-γ secretion by activated memory Th cells and elevated IL-4 levels. …”

Table 2_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.xlsx by Bin He (75597)

“…These subtypes exhibited significantly different distributions between AF and SR. …”

Table 1_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.xlsx by Bin He (75597)

“…These subtypes exhibited significantly different distributions between AF and SR. …”

Image 2_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.tif by Bin He (75597)

“…These subtypes exhibited significantly different distributions between AF and SR. …”

Table 6_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.xlsx by Bin He (75597)

“…These subtypes exhibited significantly different distributions between AF and SR. …”

Table 5_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.xlsx by Bin He (75597)

“…These subtypes exhibited significantly different distributions between AF and SR. …”

Image 5_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.tif by Bin He (75597)

“…These subtypes exhibited significantly different distributions between AF and SR. …”

Supporting data for “Androgen receptor modulates chemotherapy response in breast cancer” by Chanping You (9067448)

“…</p><p><br></p><p dir="ltr">This study investigated the role of AR in chemotherapy response using two AR-positive breast cancer cell lines. We assessed responses to multiple chemotherapeutic agents—palbociclib, docetaxel, doxorubicin, paclitaxel, and cisplatin. …”

Image 1_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.tiff by Bin He (75597)

“…These subtypes exhibited significantly different distributions between AF and SR. …”

Figure 1 from Tracking Nongenetic Evolution from Primary to Metastatic ccRCC: TRACERx Renal by Ángel Fernández-Sanromán (20814476)

“…Variables in blue and gray bars display significant (FDR < 0.05) and nonsignificant associations, respectively. …”

Table 7_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.xlsx by Bin He (75597)

“…These subtypes exhibited significantly different distributions between AF and SR. …”