Table 2_Exploring Histoplasma species seroprevalence and risk factors for seropositivity in The Gambia’s working equid population: Baseline analysis of the Tackling Histoplasmosis... by Tessa Rose Cornell (15460726)

“…On multivariable analysis of donkeys, decreased odds of seropositivity were demonstrated amongst donkeys owned by households which also owned horses (OR = 0.23 95% CI 0.06–0.85, p = 0.03). …”

Table 10_Exploring Histoplasma species seroprevalence and risk factors for seropositivity in The Gambia’s working equid population: Baseline analysis of the Tackling Histoplasmosis... by Tessa Rose Cornell (15460726)

“…On multivariable analysis of donkeys, decreased odds of seropositivity were demonstrated amongst donkeys owned by households which also owned horses (OR = 0.23 95% CI 0.06–0.85, p = 0.03). …”

Table 3_Exploring Histoplasma species seroprevalence and risk factors for seropositivity in The Gambia’s working equid population: Baseline analysis of the Tackling Histoplasmosis... by Tessa Rose Cornell (15460726)

“…On multivariable analysis of donkeys, decreased odds of seropositivity were demonstrated amongst donkeys owned by households which also owned horses (OR = 0.23 95% CI 0.06–0.85, p = 0.03). …”

Table 8_Exploring Histoplasma species seroprevalence and risk factors for seropositivity in The Gambia’s working equid population: Baseline analysis of the Tackling Histoplasmosis... by Tessa Rose Cornell (15460726)

“…On multivariable analysis of donkeys, decreased odds of seropositivity were demonstrated amongst donkeys owned by households which also owned horses (OR = 0.23 95% CI 0.06–0.85, p = 0.03). …”

Table 6_Exploring Histoplasma species seroprevalence and risk factors for seropositivity in The Gambia’s working equid population: Baseline analysis of the Tackling Histoplasmosis... by Tessa Rose Cornell (15460726)

“…On multivariable analysis of donkeys, decreased odds of seropositivity were demonstrated amongst donkeys owned by households which also owned horses (OR = 0.23 95% CI 0.06–0.85, p = 0.03). …”

Table 5_Exploring Histoplasma species seroprevalence and risk factors for seropositivity in The Gambia’s working equid population: Baseline analysis of the Tackling Histoplasmosis... by Tessa Rose Cornell (15460726)

“…On multivariable analysis of donkeys, decreased odds of seropositivity were demonstrated amongst donkeys owned by households which also owned horses (OR = 0.23 95% CI 0.06–0.85, p = 0.03). …”

Table 4_Exploring Histoplasma species seroprevalence and risk factors for seropositivity in The Gambia’s working equid population: Baseline analysis of the Tackling Histoplasmosis... by Tessa Rose Cornell (15460726)

“…On multivariable analysis of donkeys, decreased odds of seropositivity were demonstrated amongst donkeys owned by households which also owned horses (OR = 0.23 95% CI 0.06–0.85, p = 0.03). …”

Table 1_Mitochondrial damage and IL-1β production in monocytes caused by Neospora caninum infection are mediated by dense granule protein 7 and prohibitins.docx by Yu Chen (29959)

“…Using inhibitors of PHB1 or transfecting N. caninum-infected THP-1 cells with PHB1 siRNA significantly decreased IL-1β production, but not TNF-α.…”

Table 7_Exploring Histoplasma species seroprevalence and risk factors for seropositivity in The Gambia’s working equid population: Baseline analysis of the Tackling Histoplasmosis... by Tessa Rose Cornell (15460726)

“…On multivariable analysis of donkeys, decreased odds of seropositivity were demonstrated amongst donkeys owned by households which also owned horses (OR = 0.23 95% CI 0.06–0.85, p = 0.03). …”

Table2_Causal relationship between plasma lipidome and four types of pancreatitis: a bidirectional Mendelian randomization study.xlsx by Runzhou Ma (19758996)

“…</p>Methods<p>Therefore, our study aimed to investigate the causal relationships between plasma lipidome and four types of pancreatitis by conducting a bidirectional, two-sample Mendelian randomization (MR) analysis. We obtained genetic variants associated with 179 lipid species from a Genome-wide association analysis of plasma lipidome. …”

Table4_Causal relationship between plasma lipidome and four types of pancreatitis: a bidirectional Mendelian randomization study.xlsx by Runzhou Ma (19758996)

“…</p>Methods<p>Therefore, our study aimed to investigate the causal relationships between plasma lipidome and four types of pancreatitis by conducting a bidirectional, two-sample Mendelian randomization (MR) analysis. We obtained genetic variants associated with 179 lipid species from a Genome-wide association analysis of plasma lipidome. …”

Table1_Causal relationship between plasma lipidome and four types of pancreatitis: a bidirectional Mendelian randomization study.xlsx by Runzhou Ma (19758996)

“…</p>Methods<p>Therefore, our study aimed to investigate the causal relationships between plasma lipidome and four types of pancreatitis by conducting a bidirectional, two-sample Mendelian randomization (MR) analysis. We obtained genetic variants associated with 179 lipid species from a Genome-wide association analysis of plasma lipidome. …”

DataSheet1_Causal relationship between plasma lipidome and four types of pancreatitis: a bidirectional Mendelian randomization study.pdf by Runzhou Ma (19758996)

“…</p>Methods<p>Therefore, our study aimed to investigate the causal relationships between plasma lipidome and four types of pancreatitis by conducting a bidirectional, two-sample Mendelian randomization (MR) analysis. We obtained genetic variants associated with 179 lipid species from a Genome-wide association analysis of plasma lipidome. …”

Table5_Causal relationship between plasma lipidome and four types of pancreatitis: a bidirectional Mendelian randomization study.xlsx by Runzhou Ma (19758996)

“…</p>Methods<p>Therefore, our study aimed to investigate the causal relationships between plasma lipidome and four types of pancreatitis by conducting a bidirectional, two-sample Mendelian randomization (MR) analysis. We obtained genetic variants associated with 179 lipid species from a Genome-wide association analysis of plasma lipidome. …”

Table3_Causal relationship between plasma lipidome and four types of pancreatitis: a bidirectional Mendelian randomization study.xlsx by Runzhou Ma (19758996)

“…</p>Methods<p>Therefore, our study aimed to investigate the causal relationships between plasma lipidome and four types of pancreatitis by conducting a bidirectional, two-sample Mendelian randomization (MR) analysis. We obtained genetic variants associated with 179 lipid species from a Genome-wide association analysis of plasma lipidome. …”

Table 1_The severity of depressive symptoms as a mediator in the sleep-osteoarthritis risk pathway: insights from the ELSA cohort.docx by Junbo Wang (1765468)

“…Cox regression showed that intermediate and poor sleep quality significantly increased OA risk (HR = 1.23 and 1.74, respectively). …”

Stress hyperglycemia ratio as an independent predictor of acute kidney injury in critically ill patients with acute myocardial infarction: a retrospective U.S. cohort study by Xudong Li (201654)

“…</p> <p>Higher SHR levels were independently associated with an increased risk of AKI, demonstrating a J-shaped relationship. …”

Image 1_Association between the non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio and metabolic dysfunction-associated steatotic liver disease.... by Dandan Yang (291423)

“…Logistic regression analyses revealed a significant positive correlation between NHHR and MASLD. …”

DataSheet1_Diversity and plant growth promotion potential of endophytic fungi isolated from hairy vetch in Japan.pdf by Parisa Taheri (16949832)

“…Meanwhile, Alternaria alternata OGL80 significantly increased soybean growth, but it did not affect hairy vetch growth, indicating host specificity of the fungal endophytes. …”

data for "Host and antibiotic jointly select for greater virulence in Staphylococcus aureus" by Kim Hoang (21012029)

“…Independent from antibiotic selection, interactions with hosts have also altered the evolutionary trajectories and fitness landscapes of pathogens, shaping infectious disease outcomes. However, it is unclear how interactions between hosts and antibiotics impact the evolution of pathogen virulence. …”