¹⁷⁷Lu-Labeled Heterodimeric Agent with High Stability Targeting Neovascularization for Tumor Radioligand Therapy by Biao Yang (545048)

“…Radiopharmaceutical theranostics holds significant promise in tumor diagnosis and treatment, but suboptimal tumor uptake and retention remain a persistent limitation. …”

vOPG147-deficiency promotes innate immune response to VACV. by Xue-Mei Yi (18851202)

Characteristics of the population studied. by Diego Rafael Batista (19746556)

“…<div><p>Pre-exposure prophylaxis (PrEP) is an effective HIV prevention strategy that consists in the use of antiretroviral drugs by seronegative people at risk of HIV. …”

Mutation of vOPG147 F55, T116 and T117 does not affect replication and production of VACV. by Xue-Mei Yi (18851202)

Overview of the validated interview guide. by Diego Rafael Batista (19746556)

“…<div><p>Pre-exposure prophylaxis (PrEP) is an effective HIV prevention strategy that consists in the use of antiretroviral drugs by seronegative people at risk of HIV. …”

OPG147-deficiency promotes innate immune response to MPXV. by Xue-Mei Yi (18851202)

OPG147 is associated with MITA. by Xue-Mei Yi (18851202)

OPG147 inhibits ISGylation, dimerization and oligomerization of MITA. by Xue-Mei Yi (18851202)

Funnel plot. by Junyin Pan (20700411)

Forest plot. by Junyin Pan (20700411)

Interaction panel of Treat × Period effect (T × P) for ether extract intake (g/d) as influenced by feeding pasteurized waste milk (WM) or milk replacer (MR) to newborn Holstein cal... by Shahryar Kargar (18880600)

Initial assessment of βHB treatment effects. by Noam H. Sander (13977976)

“…This increase was significantly reduced in the βHB group (p = 0.0210). …”

Marginal epistasis tests identify single nucleotide polymorphisms (SNPs) that have epistatic interactions with others and are associated with the changes in viral copies. by Ke Li (106849)

Summary of subgroup analysis results. by Junyin Pan (20700411)

“…The results showed that dietary anthocyanins significantly improved various lipid and glycemic markers:</p><p>HDL-C: increased by 0.05 mmol/L (95% CI: 0.01 to 0.10, p = 0.026), LDL-C: decreased by 0.18 mmol/L (95% CI: -0.28 to -0.08, p = 0.000), Triglycerides (TGs): reduced by 0.11 mmol/L (95% CI: -0.20 to -0.02, p = 0.021), Total cholesterol (TC): lowered by 0.34 mmol/L (95% CI: -0.49 to -0.18, p = 0.000), Fasting blood glucose (FBG): reduced by 0.29 mmol/L (95% CI: -0.46 to -0.12, p = 0.001), Glycated hemoglobin (HbA1c): decreased by 0.43% (95% CI: -0.74 to -0.13, p = 0.005). …”

Original study data. by Junyin Pan (20700411)

“…The results showed that dietary anthocyanins significantly improved various lipid and glycemic markers:</p><p>HDL-C: increased by 0.05 mmol/L (95% CI: 0.01 to 0.10, p = 0.026), LDL-C: decreased by 0.18 mmol/L (95% CI: -0.28 to -0.08, p = 0.000), Triglycerides (TGs): reduced by 0.11 mmol/L (95% CI: -0.20 to -0.02, p = 0.021), Total cholesterol (TC): lowered by 0.34 mmol/L (95% CI: -0.49 to -0.18, p = 0.000), Fasting blood glucose (FBG): reduced by 0.29 mmol/L (95% CI: -0.46 to -0.12, p = 0.001), Glycated hemoglobin (HbA1c): decreased by 0.43% (95% CI: -0.74 to -0.13, p = 0.005). …”

S2 File - by Junyin Pan (20700411)

“…The results showed that dietary anthocyanins significantly improved various lipid and glycemic markers:</p><p>HDL-C: increased by 0.05 mmol/L (95% CI: 0.01 to 0.10, p = 0.026), LDL-C: decreased by 0.18 mmol/L (95% CI: -0.28 to -0.08, p = 0.000), Triglycerides (TGs): reduced by 0.11 mmol/L (95% CI: -0.20 to -0.02, p = 0.021), Total cholesterol (TC): lowered by 0.34 mmol/L (95% CI: -0.49 to -0.18, p = 0.000), Fasting blood glucose (FBG): reduced by 0.29 mmol/L (95% CI: -0.46 to -0.12, p = 0.001), Glycated hemoglobin (HbA1c): decreased by 0.43% (95% CI: -0.74 to -0.13, p = 0.005). …”

GWAS analysis using Cluster 2 data (shown in S1 Fig). by Ke Li (106849)

“…Significant SNPs are shown with solid colors. (B) SNPs (with <b><i>p</i><1×10</b>^<b>−10</b>) that have positive (blue) or negative (red) effects on viral copies. …”

GWAS analysis using Cluster 3 data (shown in S1 Fig). by Ke Li (106849)

“…Significant SNPs are shown with solid colors. (B) SNPs (with <b><i>p</i></b><<b>1</b>×<b>10</b>^<b>−10</b>) that have positive (blue) or negative (red) effects on viral copies. …”

GWAS analysis using only Cluster 1 data (shown in S1 Fig). by Ke Li (106849)

“…Significant SNPs are shown with solid colors. (B) SNPs (with <b><i>p</i><1×10</b>^<b>−10</b>) that have positive (blue) or negative (red) effects on viral copies. …”

GWAS analysis using Cluster 4 data (shown in S1 Fig). by Ke Li (106849)

“…Significant SNPs are shown with solid colors. (B) SNPs (with <b><i>p</i></b><<b>1</b>×<b>10</b>^<b>−10</b>) that have positive (blue) or negative (red) effects on viral copies. …”