Table 3_Predicting ventilator-associated lower respiratory tract infection outcomes using sequencing-based early microbiological response: a proof-of-concept prospective study.docx by Ji Zhou (481629)

“…The RQR was calculated as the quantification of A. baumannii determined by QtNGS after treatment to pretreatment. RQR significantly increased on day 4 in the non-survival group (median 5.285), and decreased in the survival group (median 0.1864). …”

Table 1_Predicting ventilator-associated lower respiratory tract infection outcomes using sequencing-based early microbiological response: a proof-of-concept prospective study.doc by Ji Zhou (481629)

“…The RQR was calculated as the quantification of A. baumannii determined by QtNGS after treatment to pretreatment. RQR significantly increased on day 4 in the non-survival group (median 5.285), and decreased in the survival group (median 0.1864). …”

Table 4_Circulating growth differentiation factor-15 concentration and hypertension risk: a dose-response meta-analysis.docx by Zhengqing Yu (12641890)

“…Background<p>Growing evidence suggests that growth differentiation factor-15 (GDF-15) may contribute to adverse clinical outcomes, such as major cardiovascular events and all-cause mortality. However, there is little information about its relationship to hypertension. …”

Table 1_Circulating growth differentiation factor-15 concentration and hypertension risk: a dose-response meta-analysis.docx by Zhengqing Yu (12641890)

“…Background<p>Growing evidence suggests that growth differentiation factor-15 (GDF-15) may contribute to adverse clinical outcomes, such as major cardiovascular events and all-cause mortality. However, there is little information about its relationship to hypertension. …”

Table 3_Circulating growth differentiation factor-15 concentration and hypertension risk: a dose-response meta-analysis.docx by Zhengqing Yu (12641890)

“…Background<p>Growing evidence suggests that growth differentiation factor-15 (GDF-15) may contribute to adverse clinical outcomes, such as major cardiovascular events and all-cause mortality. However, there is little information about its relationship to hypertension. …”

Table 2_Circulating growth differentiation factor-15 concentration and hypertension risk: a dose-response meta-analysis.docx by Zhengqing Yu (12641890)

“…Background<p>Growing evidence suggests that growth differentiation factor-15 (GDF-15) may contribute to adverse clinical outcomes, such as major cardiovascular events and all-cause mortality. However, there is little information about its relationship to hypertension. …”

Image 1_Ticagrelor vs. clopidogrel in dual antiplatelet therapy after coronary artery bypass surgery: a meta-analysis.tif by Liyuan Wang (795570)

“…</p>Conclusions<p>The meta-analysis presented the evidence supporting the use of A + T post-CAVG in reducing all-cause mortality and cardiovascular mortality, with no increase in bleeding events, in comparison with A + C. …”

Image 2_Ticagrelor vs. clopidogrel in dual antiplatelet therapy after coronary artery bypass surgery: a meta-analysis.tif by Liyuan Wang (795570)

“…</p>Conclusions<p>The meta-analysis presented the evidence supporting the use of A + T post-CAVG in reducing all-cause mortality and cardiovascular mortality, with no increase in bleeding events, in comparison with A + C. …”

Image 2_Activation of mechanoreceptor Piezo1 inhibits enteric neuronal growth and migration in vitro.jpeg by Chioma Moneme (20457845)

“…Piezo1 inhibition also led to significantly increased neuronal migration, whereas Piezo1 activation resulted in significantly decreased neuronal migration and slower neuronal recovery from injury.…”

Image 1_Activation of mechanoreceptor Piezo1 inhibits enteric neuronal growth and migration in vitro.jpeg by Chioma Moneme (20457845)

“…Piezo1 inhibition also led to significantly increased neuronal migration, whereas Piezo1 activation resulted in significantly decreased neuronal migration and slower neuronal recovery from injury.…”

Data collected from pregnant women for the analysis of placental anemia, placental malaria, Cytokines and birth anthropometric indices by Bamgboye Morakinyo Afolabi (16838970)

“…In PM, P. falciparum-infected erythrocytes adhere to placental receptors, triggering placental inflammation and subsequent damage, causing harm to both mother and her baby. A significant role for increased cytokines (TNF, IFN-γ and IL-10) and apoptosis in trophoblast damage, low birth weight and preterm delivery during PM, has been observed no [11]. …”

Table 1_Molecular epidemiological characteristics of pertussis in a pediatric hospital in Jinan City, China, 2022 to 2024.docx by Miao Liu (148274)

“…BP co-detection rates with specific pathogens—human rhinovirus, adenovirus, Haemophilus influenzae, Staphylococcus aureus, and Mycoplasma pneumoniae significantly increased (all P_trend < 0.05), whereas parainfluenza virus co-infections decreased (P_trend < 0.05). …”

Supplementary Material for: Additive inhibition of HERG channels expressed in Xenopus oocytes by antipsychotic drugs and citrus juice flavonoid naringenin by Yang K.-H.S. (18331101)

“…This additive HERG inhibition could pose an increased risk of arrhythmias by decreasing repolarization reserve and possible repolarization heterogeneity.…”

Data Sheet 5_Identification of nasopharyngeal microbial dysbiosis in COVID-19 patients by 16S rRNA gene sequencing.xls by Filippos S. Kardaras (18330696)

“…Microbiome profiling was performed using 16S rRNA gene-targeted metagenomic sequencing, followed by comprehensive bioinformatics and statistical analyses.</p>Results<p>Significant differences were observed in both alpha and beta diversity measures, with alpha diversity decreasing as the severity of COVID-19 increased. …”

Data Sheet 2_Identification of nasopharyngeal microbial dysbiosis in COVID-19 patients by 16S rRNA gene sequencing.xls by Filippos S. Kardaras (18330696)

“…Microbiome profiling was performed using 16S rRNA gene-targeted metagenomic sequencing, followed by comprehensive bioinformatics and statistical analyses.</p>Results<p>Significant differences were observed in both alpha and beta diversity measures, with alpha diversity decreasing as the severity of COVID-19 increased. …”

Supplementary file 1_Identification of nasopharyngeal microbial dysbiosis in COVID-19 patients by 16S rRNA gene sequencing.docx by Filippos S. Kardaras (18330696)

“…Microbiome profiling was performed using 16S rRNA gene-targeted metagenomic sequencing, followed by comprehensive bioinformatics and statistical analyses.</p>Results<p>Significant differences were observed in both alpha and beta diversity measures, with alpha diversity decreasing as the severity of COVID-19 increased. …”

Data Sheet 4_Identification of nasopharyngeal microbial dysbiosis in COVID-19 patients by 16S rRNA gene sequencing.xls by Filippos S. Kardaras (18330696)

“…Microbiome profiling was performed using 16S rRNA gene-targeted metagenomic sequencing, followed by comprehensive bioinformatics and statistical analyses.</p>Results<p>Significant differences were observed in both alpha and beta diversity measures, with alpha diversity decreasing as the severity of COVID-19 increased. …”

Data Sheet 1_Identification of nasopharyngeal microbial dysbiosis in COVID-19 patients by 16S rRNA gene sequencing.xls by Filippos S. Kardaras (18330696)

“…Microbiome profiling was performed using 16S rRNA gene-targeted metagenomic sequencing, followed by comprehensive bioinformatics and statistical analyses.</p>Results<p>Significant differences were observed in both alpha and beta diversity measures, with alpha diversity decreasing as the severity of COVID-19 increased. …”

Data Sheet 3_Identification of nasopharyngeal microbial dysbiosis in COVID-19 patients by 16S rRNA gene sequencing.xls by Filippos S. Kardaras (18330696)

“…Microbiome profiling was performed using 16S rRNA gene-targeted metagenomic sequencing, followed by comprehensive bioinformatics and statistical analyses.</p>Results<p>Significant differences were observed in both alpha and beta diversity measures, with alpha diversity decreasing as the severity of COVID-19 increased. …”

Data Sheet 1_Microbiota profiling from biopsied tissues in complex infections: a diagnostic and prognostic analysis through metagenomic next-generation sequencing.docx by Tiange Song (13878401)

“…The presence of gram-negative bacteria (adjusted OR 5.21, 95% CI 1.39–19.43, P=0.01), Enterobacteriaceae (adjusted OR 5.71, 95% CI 1.17–28.03, P=0.03) and Staphylococcus (adjusted OR 8.64, 95% CI 1.95–38.34, P=0.005) was associated with an increased risk of treatment failure. Early mNGS sampling within 7 days after admission was associated with a significantly decreased risk of all-cause mortality (HR 0.18, 95% CI 0.04–0.94; P=0.04), treatment failure (OR 0.17, 95% CI 0.05–0.66; P=0.01), and increased probability of clinical resolution (OR 3.03, 95% CI 1.24–7.40; P=0.01).…”