Table 1_The real-world safety of Nivolumab: a pharmacovigilance analysis based on the FDA adverse event reporting system.docx by Yutong Wu (3130584)

“…Additionally, we utilized Weibull distribution modeling to characterize the temporal risk patterns of identified adverse events.</p>Results<p>Our analysis identified 64,627 AEs reports associated with nivolumab. …”

Table 1_Multiparametric MRI assessment of renal blood oxygenation, fat content, and hemodynamics in an animal model of metabolic dysfunction-associated steatotic liver disease.docx by Chao Wang (146527)

“…Aims<p>Metabolic dysfunction-associated steatotic liver disease (MASLD) is a significant risk factor for chronic kidney disease. …”

Table 1_Prevalence and duration of clinical symptoms of pediatric long COVID: findings from a one-year prospective study.docx by Vita Perestiuk (22290208)

“…Multivariable logistic regression showed that older age was significantly associated with a higher risk of decreased physical activity (OR = 1.51, p = 0.038), lack of energy (OR = 2.00, p = 0.003), neurological symptoms (OR = 1.86, p = 0.007), headache (OR = 4.51, p = 0.000), memory impairment (OR = 5.12, p = 0.000), difficulty communicating (OR = 4.28, p = 0.000), difficulty concentrating (OR = 2.74, p = 0.001), cardiological symptoms (OR = 2.34, p = 0.022), sensory symptoms (OR = 2.66, p = 0.011), and dizziness (OR = 10.02, p = 0.034). …”

Data Sheet 1_Prevalence and duration of clinical symptoms of pediatric long COVID: findings from a one-year prospective study.docx by Vita Perestiuk (22290208)

“…Multivariable logistic regression showed that older age was significantly associated with a higher risk of decreased physical activity (OR = 1.51, p = 0.038), lack of energy (OR = 2.00, p = 0.003), neurological symptoms (OR = 1.86, p = 0.007), headache (OR = 4.51, p = 0.000), memory impairment (OR = 5.12, p = 0.000), difficulty communicating (OR = 4.28, p = 0.000), difficulty concentrating (OR = 2.74, p = 0.001), cardiological symptoms (OR = 2.34, p = 0.022), sensory symptoms (OR = 2.66, p = 0.011), and dizziness (OR = 10.02, p = 0.034). …”

Table 3_Prevalence and duration of clinical symptoms of pediatric long COVID: findings from a one-year prospective study.docx by Vita Perestiuk (22290208)

“…Multivariable logistic regression showed that older age was significantly associated with a higher risk of decreased physical activity (OR = 1.51, p = 0.038), lack of energy (OR = 2.00, p = 0.003), neurological symptoms (OR = 1.86, p = 0.007), headache (OR = 4.51, p = 0.000), memory impairment (OR = 5.12, p = 0.000), difficulty communicating (OR = 4.28, p = 0.000), difficulty concentrating (OR = 2.74, p = 0.001), cardiological symptoms (OR = 2.34, p = 0.022), sensory symptoms (OR = 2.66, p = 0.011), and dizziness (OR = 10.02, p = 0.034). …”

Data Sheet 2_Prevalence and duration of clinical symptoms of pediatric long COVID: findings from a one-year prospective study.docx by Vita Perestiuk (22290208)

“…Multivariable logistic regression showed that older age was significantly associated with a higher risk of decreased physical activity (OR = 1.51, p = 0.038), lack of energy (OR = 2.00, p = 0.003), neurological symptoms (OR = 1.86, p = 0.007), headache (OR = 4.51, p = 0.000), memory impairment (OR = 5.12, p = 0.000), difficulty communicating (OR = 4.28, p = 0.000), difficulty concentrating (OR = 2.74, p = 0.001), cardiological symptoms (OR = 2.34, p = 0.022), sensory symptoms (OR = 2.66, p = 0.011), and dizziness (OR = 10.02, p = 0.034). …”

Data Sheet 3_Prevalence and duration of clinical symptoms of pediatric long COVID: findings from a one-year prospective study.pdf by Vita Perestiuk (22290208)

“…Multivariable logistic regression showed that older age was significantly associated with a higher risk of decreased physical activity (OR = 1.51, p = 0.038), lack of energy (OR = 2.00, p = 0.003), neurological symptoms (OR = 1.86, p = 0.007), headache (OR = 4.51, p = 0.000), memory impairment (OR = 5.12, p = 0.000), difficulty communicating (OR = 4.28, p = 0.000), difficulty concentrating (OR = 2.74, p = 0.001), cardiological symptoms (OR = 2.34, p = 0.022), sensory symptoms (OR = 2.66, p = 0.011), and dizziness (OR = 10.02, p = 0.034). …”

Table 2_Prevalence and duration of clinical symptoms of pediatric long COVID: findings from a one-year prospective study.docx by Vita Perestiuk (22290208)

“…Multivariable logistic regression showed that older age was significantly associated with a higher risk of decreased physical activity (OR = 1.51, p = 0.038), lack of energy (OR = 2.00, p = 0.003), neurological symptoms (OR = 1.86, p = 0.007), headache (OR = 4.51, p = 0.000), memory impairment (OR = 5.12, p = 0.000), difficulty communicating (OR = 4.28, p = 0.000), difficulty concentrating (OR = 2.74, p = 0.001), cardiological symptoms (OR = 2.34, p = 0.022), sensory symptoms (OR = 2.66, p = 0.011), and dizziness (OR = 10.02, p = 0.034). …”

Data Sheet 4_Prevalence and duration of clinical symptoms of pediatric long COVID: findings from a one-year prospective study.docx by Vita Perestiuk (22290208)

“…Multivariable logistic regression showed that older age was significantly associated with a higher risk of decreased physical activity (OR = 1.51, p = 0.038), lack of energy (OR = 2.00, p = 0.003), neurological symptoms (OR = 1.86, p = 0.007), headache (OR = 4.51, p = 0.000), memory impairment (OR = 5.12, p = 0.000), difficulty communicating (OR = 4.28, p = 0.000), difficulty concentrating (OR = 2.74, p = 0.001), cardiological symptoms (OR = 2.34, p = 0.022), sensory symptoms (OR = 2.66, p = 0.011), and dizziness (OR = 10.02, p = 0.034). …”

Data Sheet 1_The MTNR1B Rs724030 variant is associated with islet function and women waist-to-hip ratio in healthy subjects.pdf by Sijie Zhang (7429373)

“…</p>Results<p>While no association was observed between the rs724030 variant in MTNR1B and prediabetes risk in the overall cohort (P > 0.05), we found the G allele of this variant was associated with higher fasting and 30-minute plasma glucose levels, decreased Insulinogenic Index (IGI), and oral disposition index (DIo) (P = 0.009, 0.001, 0.001, and 0.007, respectively) in the normal glucose tolerance (NGT) individuals with normal BMI levels. …”

Data Sheet 1_The prevalence and antimicrobial resistance of respiratory pathogens isolated from feedlot cattle in Canada.zip by Porjai Rattanapanadda (7577912)

“…Potential associations were investigated between recovery of resistant organisms and time of year at sampling (quarter), sampling timepoint (arrival or second sample), days on feed (DOF) at sampling, animal age categories, and BRD risk categories. There was a significant (p < 0.05) increase in resistance prevalence after arrival for macrolide drugs in M. haemolytica, and for ampicillin, danofloxacin, enrofloxacin, spectinomycin, gamithromycin, tildipirosin, tulathromycin and tetracycline in P. multocida isolates. …”

Data Sheet 1_Post-COVID syndrome patients show reduced anti-Spike antibodies compared to COVID-recovered controls, but enhanced IgG4/IgG1 switch after the third vaccine dose.pdf by Nineth Rossi (22355524)

“…Initially, we established the risk factors and the evolution of symptoms. Then, we analyzed the antibody response, focusing on immunoglobulin subclasses. …”

Table 1_Association of the ROX index with mortality in sepsis patients: a retrospective study.docx by Jiali Wu (701228)

“…Restricted cubic spline analysis revealed a nonlinear “L”-shaped association, with the 28-day mortality risk decreasing until reaching a plateau at a ROX index of approximately 10.50. …”

Table1_Identifying new biomarkers and potential therapeutic targets for breast cancer through the integration of human plasma proteomics: a Mendelian randomization study and coloca... by Jingshuang Song (11340138)

“…</p>Results<p>Gene-predicted levels of ten proteins were associated with breast cancer risk. Decreased levels of CASP8, DDX58, CPNE1, ULK3, PARK7, and BTN2A1, as well as increased levels of TNFRSF9, TNXB, DNPH1, and TLR1, were linked to an elevated risk of breast cancer. …”

DataSheet1_Identifying new biomarkers and potential therapeutic targets for breast cancer through the integration of human plasma proteomics: a Mendelian randomization study and co... by Jingshuang Song (11340138)

“…</p>Results<p>Gene-predicted levels of ten proteins were associated with breast cancer risk. Decreased levels of CASP8, DDX58, CPNE1, ULK3, PARK7, and BTN2A1, as well as increased levels of TNFRSF9, TNXB, DNPH1, and TLR1, were linked to an elevated risk of breast cancer. …”

DataSheet2_Identifying new biomarkers and potential therapeutic targets for breast cancer through the integration of human plasma proteomics: a Mendelian randomization study and co... by Jingshuang Song (11340138)

“…</p>Results<p>Gene-predicted levels of ten proteins were associated with breast cancer risk. Decreased levels of CASP8, DDX58, CPNE1, ULK3, PARK7, and BTN2A1, as well as increased levels of TNFRSF9, TNXB, DNPH1, and TLR1, were linked to an elevated risk of breast cancer. …”

Image 1_Multi-omics analysis reveals indicator features of microbe-host interactions during Candida albicans colonization and subsequent infection.tif by Huan Zhang (220065)

“…</p>Methods<p>We explored risk factors associated with C. albicans GI colonization and ensuing translocated infection. …”

Table2_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…</p>Conclusions<p>Our bioinformatics combined with MR analysis revealed that CD93, CYBB, DOCK8, IRF1, MBOAT1, MYO1F, NLRP1, NOD2, PIK3R1 increase the risk of PCOS, while PTER decreases the risk of PCOS. …”

Table13_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…</p>Conclusions<p>Our bioinformatics combined with MR analysis revealed that CD93, CYBB, DOCK8, IRF1, MBOAT1, MYO1F, NLRP1, NOD2, PIK3R1 increase the risk of PCOS, while PTER decreases the risk of PCOS. …”

Table12_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…</p>Conclusions<p>Our bioinformatics combined with MR analysis revealed that CD93, CYBB, DOCK8, IRF1, MBOAT1, MYO1F, NLRP1, NOD2, PIK3R1 increase the risk of PCOS, while PTER decreases the risk of PCOS. …”