Table 6_Integrative single-cell and bulk RNA-seq analyses identify CD4+ T-cell subpopulation infiltration and biomarkers of regulatory T cells involved in mediating the progression... by Yifeng Zhang (521454)

“…</p>Results<p>We found that the proportion of Tregs significantly decreased, and Th2 cells showed a significant increase in atherosclerotic plaque compared to that in non-plaque arterial tissues. …”

Table 4_Integrative single-cell and bulk RNA-seq analyses identify CD4+ T-cell subpopulation infiltration and biomarkers of regulatory T cells involved in mediating the progression... by Yifeng Zhang (521454)

“…</p>Results<p>We found that the proportion of Tregs significantly decreased, and Th2 cells showed a significant increase in atherosclerotic plaque compared to that in non-plaque arterial tissues. …”

Table 2_Integrative single-cell and bulk RNA-seq analyses identify CD4+ T-cell subpopulation infiltration and biomarkers of regulatory T cells involved in mediating the progression... by Yifeng Zhang (521454)

“…</p>Results<p>We found that the proportion of Tregs significantly decreased, and Th2 cells showed a significant increase in atherosclerotic plaque compared to that in non-plaque arterial tissues. …”

Table 5_Integrative single-cell and bulk RNA-seq analyses identify CD4+ T-cell subpopulation infiltration and biomarkers of regulatory T cells involved in mediating the progression... by Yifeng Zhang (521454)

“…</p>Results<p>We found that the proportion of Tregs significantly decreased, and Th2 cells showed a significant increase in atherosclerotic plaque compared to that in non-plaque arterial tissues. …”

Table 3_Integrative single-cell and bulk RNA-seq analyses identify CD4+ T-cell subpopulation infiltration and biomarkers of regulatory T cells involved in mediating the progression... by Yifeng Zhang (521454)

“…</p>Results<p>We found that the proportion of Tregs significantly decreased, and Th2 cells showed a significant increase in atherosclerotic plaque compared to that in non-plaque arterial tissues. …”

Image 1_Integrative single-cell and bulk RNA-seq analyses identify CD4+ T-cell subpopulation infiltration and biomarkers of regulatory T cells involved in mediating the progression... by Yifeng Zhang (521454)

“…</p>Results<p>We found that the proportion of Tregs significantly decreased, and Th2 cells showed a significant increase in atherosclerotic plaque compared to that in non-plaque arterial tissues. …”

Table 1_Multicenter epidemiology of Stenotrophomonas maltophilia bloodstream infections in Indian ICUs: building digital surveillance network.pdf by Parul Singh (191877)

“…Central line-associated BSIs (CLABSIs) predominated (64.9%), though their proportion decreased over time, with non-CLABSIs rising from 7.4% (2017–18) to 42.1% (2023–24). …”

Supplementary Material for: Exploring associations between cannabis prices, stores, and usage after recreational legalization by figshare admin karger (2628495)

“…Results: There were no significant changes in prevalence among males and people aged 16-24, or in the proportion using cannabis daily. …”

Table 1_The development of the neurosurgery workforce in Austria over the past quarter century: is more always better?.xlsx by Mario Mischkulnig (11659318)

“…Growth in neurosurgeon density significantly outpaced both population growth (+ 14.3%) and the overall increase of specialist physicians (+ 77.4%, p = 0.001). …”

Data Sheet 1_Influence of age-adjusted shock index trajectories on 30-day mortality for critical patients with septic shock.zip by Suru Yue (12194255)

“…KM curve revealed significantly higher 30-day mortality in Class 2 (32.1%) and Class 3 (38.7%) than Class 1 (12.3%) (P < 0.001). …”

Figure 6 from Distant Metastases of Breast Cancer Resemble Primary Tumors in Cancer Cell Composition but Differ in Immune Cell Phenotypes by Laura Kuett (20493991)

“…<b>F</b> and <b>G,</b> Immune cell phenotypic cluster enrichment in each clinical breast cancer subtype (<b>F</b>) or metastasis-defined patient group (<b>G</b>) at metastatic sites compared with average metastasis composition by differential abundance testing. Circles display significantly enriched (red) or decreased (blue; FDR < 0.05; multiple testing correction with the Benjamin–Hochberg method) results, with size indicating the log-transformed fold change.  …”

Descriptive statistics. by Xiang Pan (5774024)

“…The results showed that during the semester phase, increases in ΔMVPA and ΔPSCP and decreases in ΔPSC were associated with decreases in ΔBFP (Δ = post-timepoint value − pre-timepoint value). …”

Changes in body composition, PSC, PSCP, MVPA. by Xiang Pan (5774024)

“…The results showed that during the semester phase, increases in ΔMVPA and ΔPSCP and decreases in ΔPSC were associated with decreases in ΔBFP (Δ = post-timepoint value − pre-timepoint value). …”

Causal paths for FFM. by Xiang Pan (5774024)

“…The results showed that during the semester phase, increases in ΔMVPA and ΔPSCP and decreases in ΔPSC were associated with decreases in ΔBFP (Δ = post-timepoint value − pre-timepoint value). …”

Recruitment and screening flowchart. by Xiang Pan (5774024)

“…The results showed that during the semester phase, increases in ΔMVPA and ΔPSCP and decreases in ΔPSC were associated with decreases in ΔBFP (Δ = post-timepoint value − pre-timepoint value). …”

Factors influencing body fat percentage at Q2. by Xiang Pan (5774024)

“…The results showed that during the semester phase, increases in ΔMVPA and ΔPSCP and decreases in ΔPSC were associated with decreases in ΔBFP (Δ = post-timepoint value − pre-timepoint value). …”

Factors influencing body fat percentage at Q1. by Xiang Pan (5774024)

“…The results showed that during the semester phase, increases in ΔMVPA and ΔPSCP and decreases in ΔPSC were associated with decreases in ΔBFP (Δ = post-timepoint value − pre-timepoint value). …”

STROBE flowchart. by Xiang Pan (5774024)

“…The results showed that during the semester phase, increases in ΔMVPA and ΔPSCP and decreases in ΔPSC were associated with decreases in ΔBFP (Δ = post-timepoint value − pre-timepoint value). …”

Factors influencing FFM at Q1. by Xiang Pan (5774024)

“…The results showed that during the semester phase, increases in ΔMVPA and ΔPSCP and decreases in ΔPSC were associated with decreases in ΔBFP (Δ = post-timepoint value − pre-timepoint value). …”

Study group background characteristics. by Zicheng Hu (3825313)

“…This ratio was disrupted when blood CD4+ T-cells fell to <50 cells/μL and the CSF WBC count decreased to negligible levels; in this group the CSF:blood HIV-1 RNA ratio decreased nearly 10-fold to an overall ratio of <1:100. …”