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

“…When comparing the NE and SE groups, we observed a significant increase in the abundance of the Proteobacteria phylum in the SE group, while the abundance of Fusobacteria was significantly lower in the SE group. …”

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

“…When comparing the NE and SE groups, we observed a significant increase in the abundance of the Proteobacteria phylum in the SE group, while the abundance of Fusobacteria was significantly lower in the SE group. …”

Table 1_Resveratrol targeting MDM2/P53/PUMA axis to inhibit colonocyte apoptosis in DSS-induced ulcerative colitis mice.xlsx by Rui Tang (298719)

“…</p>Materials and Methods<p>We used dextran sulfate sodium (DSS) to induce UC in a mouse model. …”

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

“…When comparing the NE and SE groups, we observed a significant increase in the abundance of the Proteobacteria phylum in the SE group, while the abundance of Fusobacteria was significantly lower in the SE group. …”

Gastric microbiome composition accompanied with the <i>Helicobacter pylori</i> related DNA methylation anomaly by Takuya Shijimaya (16928363)

“…Multivariate analysis demonstrated older age (t = 3.46, <i>p</i> = 0.0007), <i>H. pylori</i> infection (t = 9.99, <i>p</i> < 0.0001) and lower bacterial alfa diversity (Shannon index: t = -2.34, <i>p</i> = 0.02) were significantly associated with CGI hypermethylation. In genus or family levels, increased abundance of <i>Helicobacter</i> was associated with hyper CGI methylation with strongest correlation, while decreased abundance of four bacteria (<i>Intrasporangiaceae family, Macellibacteroides</i>, <i>Peptostreptococcus</i> and <i>Dietziaceae family</i>) was also associated with hyper CGI methylation. …”

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

“…When comparing the NE and SE groups, we observed a significant increase in the abundance of the Proteobacteria phylum in the SE group, while the abundance of Fusobacteria was significantly lower in the SE group. …”

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

“…When comparing the NE and SE groups, we observed a significant increase in the abundance of the Proteobacteria phylum in the SE group, while the abundance of Fusobacteria was significantly lower in the SE group. …”

Table 1_GLP1 receptor agonists and SGLT2 inhibitors for the prevention or delay of type 2 diabetes mellitus onset: a systematic review and meta-analysis.docx by Farah Ghobar (22480732)

“…Moreover, HbA1c levels were assessed in seven studies, where significant reductions in treatment groups were reported with a standardized mean difference of -6.95 (95% CI: [-14.24, 2.98], p-value= 0.06) for the overall effect size. …”

Data Sheet 1_Tuberculosis disease burden in China: a spatio-temporal clustering and prediction study.docx by Jingzhe Guo (5150768)

“…Tibet (124.24%) and Xinjiang (114.72%) in western China exhibited the largest percentage change in tuberculosis (TB) incidence, while Zhejiang Province (−50.45%) and Jiangsu Province (−51.33%) in eastern China showed the largest decreases. Regions with significant percentage increases in PTB mortality rates (>100%) included four western regions, six central regions, and five eastern regions. …”

Data Sheet 2_Tuberculosis disease burden in China: a spatio-temporal clustering and prediction study.docx by Jingzhe Guo (5150768)

“…Tibet (124.24%) and Xinjiang (114.72%) in western China exhibited the largest percentage change in tuberculosis (TB) incidence, while Zhejiang Province (−50.45%) and Jiangsu Province (−51.33%) in eastern China showed the largest decreases. Regions with significant percentage increases in PTB mortality rates (>100%) included four western regions, six central regions, and five eastern regions. …”

<b>Targeted Metabolomic Profiling Reveals Inflammation – Associated longitudinal</b><b>changes in Plasma Metabolites Following on-pump Coronary Bypass Surgery</b> by Frieder Neu (18393729)

Flow chart of the study participants. by Milton W. Musaba (8431944)

“…</p><p>Results</p><p>Bedside resuscitation increased significantly in the post-implementation period (9.3% versus 45.3%, <i>p</i> < 0.001 while early cord clamping decreased (26.7% versus 12.0%, <i>p</i> = 0.042). …”

Suggested modifications for the BabySaver. by Milton W. Musaba (8431944)

“…</p><p>Results</p><p>Bedside resuscitation increased significantly in the post-implementation period (9.3% versus 45.3%, <i>p</i> < 0.001 while early cord clamping decreased (26.7% versus 12.0%, <i>p</i> = 0.042). …”

Table 8_CX3CR1 upregulation modulates microglial activation and preserves synapses in the hippocampus and frontal cortex of middle-aged mice.xlsx by Jinfeng Liu (32678)

“…Following CX3CR1 knockout in the middle-aged mice, TNF-α and IL-1α levels increased, while CD68, SRA, and RAGE levels decreased in the hippocampus. Similarly, CD68, CD36, SRB1, and RAGE levels decreased in the frontal cortex. …”

Table 4_CX3CR1 upregulation modulates microglial activation and preserves synapses in the hippocampus and frontal cortex of middle-aged mice.xlsx by Jinfeng Liu (32678)

“…Following CX3CR1 knockout in the middle-aged mice, TNF-α and IL-1α levels increased, while CD68, SRA, and RAGE levels decreased in the hippocampus. Similarly, CD68, CD36, SRB1, and RAGE levels decreased in the frontal cortex. …”

Table 7_CX3CR1 upregulation modulates microglial activation and preserves synapses in the hippocampus and frontal cortex of middle-aged mice.xlsx by Jinfeng Liu (32678)

“…Following CX3CR1 knockout in the middle-aged mice, TNF-α and IL-1α levels increased, while CD68, SRA, and RAGE levels decreased in the hippocampus. Similarly, CD68, CD36, SRB1, and RAGE levels decreased in the frontal cortex. …”

Table 10_CX3CR1 upregulation modulates microglial activation and preserves synapses in the hippocampus and frontal cortex of middle-aged mice.xlsx by Jinfeng Liu (32678)

“…Following CX3CR1 knockout in the middle-aged mice, TNF-α and IL-1α levels increased, while CD68, SRA, and RAGE levels decreased in the hippocampus. Similarly, CD68, CD36, SRB1, and RAGE levels decreased in the frontal cortex. …”

Table 2_CX3CR1 upregulation modulates microglial activation and preserves synapses in the hippocampus and frontal cortex of middle-aged mice.xlsx by Jinfeng Liu (32678)

“…Following CX3CR1 knockout in the middle-aged mice, TNF-α and IL-1α levels increased, while CD68, SRA, and RAGE levels decreased in the hippocampus. Similarly, CD68, CD36, SRB1, and RAGE levels decreased in the frontal cortex. …”

Table 11_CX3CR1 upregulation modulates microglial activation and preserves synapses in the hippocampus and frontal cortex of middle-aged mice.xlsx by Jinfeng Liu (32678)

“…Following CX3CR1 knockout in the middle-aged mice, TNF-α and IL-1α levels increased, while CD68, SRA, and RAGE levels decreased in the hippocampus. Similarly, CD68, CD36, SRB1, and RAGE levels decreased in the frontal cortex. …”

Table 1_CX3CR1 upregulation modulates microglial activation and preserves synapses in the hippocampus and frontal cortex of middle-aged mice.xlsx by Jinfeng Liu (32678)

“…Following CX3CR1 knockout in the middle-aged mice, TNF-α and IL-1α levels increased, while CD68, SRA, and RAGE levels decreased in the hippocampus. Similarly, CD68, CD36, SRB1, and RAGE levels decreased in the frontal cortex. …”