Table 4_Potential marker genes for psoriasis revealed based on single-cell sequencing and Mendelian randomization analysis.xlsx by Ying Dong (41989)

“…</p>Results<p>Seven genetically informed candidate genes were identified as being significantly associated with psoriasis susceptibility. …”

Image 1_The clinical features and outcomes of diabetes patients infected with COVID-19: a systematic review and meta-analysis comprising 192,693 patients.tif by Kai Liu (159026)

“…We discovered that white blood cell count, neutrophil count, inflammatory marker levels, D-dimer, urea, precursor of the brain natriuretic peptide (Pro-BNP) increased and lymphocyte count, estimated glomerular filtration rate (eGFR), albumin decreased significantly in the diabetic group in laboratory test results. …”

Table 8_Potential marker genes for psoriasis revealed based on single-cell sequencing and Mendelian randomization analysis.xlsx by Ying Dong (41989)

“…</p>Results<p>Seven genetically informed candidate genes were identified as being significantly associated with psoriasis susceptibility. …”

Image 4_Potential marker genes for psoriasis revealed based on single-cell sequencing and Mendelian randomization analysis.tif by Ying Dong (41989)

“…</p>Results<p>Seven genetically informed candidate genes were identified as being significantly associated with psoriasis susceptibility. …”

Data Sheet 1_Global, regional, and national burden of interstitial lung disease in middle-aged and older adults from 1990 to 2021 with projections to 2050: a systematic analysis of... by Long Chen (315739)

“…Joinpoint regression analysis revealed that while ASPR and ASIR increased from 1990 to 2010 but subsequently decreased from 2010 to 2021, conversely, ASDR and DALYs increased from 1990 to 2011 before declining after 2011, frontier analysis highlighted Canada, Ireland, the United States, Japan, and the United Kingdom as nations with significant improvement potential. …”

<i>Streptococcus suis</i> serotype 5: Emerging zoonotic threat with distinct genomic heterogeneity by Xiyan Zhang (5680457)

“…The capacity to establish infection, induce excessive pro-inflammatory cytokine production, and elevate biomarkers associated with organ damage varied significantly among HV⁺ strains. …”

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. …”

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. …”

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. …”

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. …”

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. …”

Table 4_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 6_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. …”