DataSheet1_Sodium danshensu modulates skeletal muscle fiber type formation and metabolism by inhibiting pyruvate kinase M1.docx by Yunxia Zhang (30848)

“…Muscle mass, the percentage of slow oxidative fibers, succinic dehydrogenase activity, muscle endurance, glucose tolerance, and the expression of the MyHC1 and MyHC2a genes increased while MyHC2b expression, lactate dehydrogenase activity, and the percentage of glycolytic muscle fibers decreased in SDSS-treated mice. Mechanistically, SDSS bound to the pyruvate kinase PKM1 and significantly repressed its activity. …”

Data Sheet 1_Causality of genetically determined serum metabolites on lower back pain or/and sciatica: a comprehensive Mendelian randomized study.docx by Yi-Ming Ren (555968)

“…Among them, 8 serum metabolites decreased risk of sciatica or/and lower back pain significantly (P < 0.05), and 14 serum metabolites increased risk of sciatica or/and lower back pain significantly (P < 0.05). …”

Table 4_Causality of genetically determined serum metabolites on lower back pain or/and sciatica: a comprehensive Mendelian randomized study.docx by Yi-Ming Ren (555968)

“…Among them, 8 serum metabolites decreased risk of sciatica or/and lower back pain significantly (P < 0.05), and 14 serum metabolites increased risk of sciatica or/and lower back pain significantly (P < 0.05). …”

Table 8_Interactions between the intestinal microbiome and host genes in regulating vibriosis resistance in Cynoglossus semilaevis.xlsx by Weiwei Zheng (140828)

“…</p>Results<p>Obvious histopathological differences were observed between the resistant and susceptible groups in terms of inflammatory cells infiltration, and tissue dissociation of mucosal layer. 16S rRNA sequencing analysis indicated that Vibrio increased but Stenotrophomonas, Chryseobacterium, Delftia, and Salinivibrio decreased in the susceptible group. Compared to the control group, 1,986 differentially expressed genes (DEGs) were detected in the susceptible group, significantly more than the 310 DEGs found in the resistant group. …”

Supplementary Material for: Bidirectional Impact of Varying Severity of Acute Kidney Injury on Calcium Oxalate Stone Formation by Yang Y. (3237684)

“…The occurrence of AKI may promote the formation of renal calcium oxalate stones by exerting continuous effects on renal tubular epithelial cells. We aimed to delineate the molecular interplay between AKI and nephrolithiasis. …”

Table 6_Interactions between the intestinal microbiome and host genes in regulating vibriosis resistance in Cynoglossus semilaevis.xlsx by Weiwei Zheng (140828)

“…</p>Results<p>Obvious histopathological differences were observed between the resistant and susceptible groups in terms of inflammatory cells infiltration, and tissue dissociation of mucosal layer. 16S rRNA sequencing analysis indicated that Vibrio increased but Stenotrophomonas, Chryseobacterium, Delftia, and Salinivibrio decreased in the susceptible group. Compared to the control group, 1,986 differentially expressed genes (DEGs) were detected in the susceptible group, significantly more than the 310 DEGs found in the resistant group. …”

Table 3_Causality of genetically determined serum metabolites on lower back pain or/and sciatica: a comprehensive Mendelian randomized study.docx by Yi-Ming Ren (555968)

“…Among them, 8 serum metabolites decreased risk of sciatica or/and lower back pain significantly (P < 0.05), and 14 serum metabolites increased risk of sciatica or/and lower back pain significantly (P < 0.05). …”

Table 3_Genomic profiling of NSCLC tumors with the TruSight oncology 500 assay provides broad coverage of clinically actionable genomic alterations and detection of known and novel... by Zachary D. Wallen (19986522)

“…Known associations between genomic alterations and immunotherapy markers were observed including significantly lower TMB levels in tumors with therapy-associated alterations and significantly higher PD-L1 levels in tumors with ALK, MET, BRAF, or ROS1 driver mutations. …”

Table 7_Interactions between the intestinal microbiome and host genes in regulating vibriosis resistance in Cynoglossus semilaevis.xlsx by Weiwei Zheng (140828)

“…</p>Results<p>Obvious histopathological differences were observed between the resistant and susceptible groups in terms of inflammatory cells infiltration, and tissue dissociation of mucosal layer. 16S rRNA sequencing analysis indicated that Vibrio increased but Stenotrophomonas, Chryseobacterium, Delftia, and Salinivibrio decreased in the susceptible group. Compared to the control group, 1,986 differentially expressed genes (DEGs) were detected in the susceptible group, significantly more than the 310 DEGs found in the resistant group. …”

Table 4_Immunosuppression of spleen in mice treated with erythropoietin: transcriptomic and immunological analysis.xlsx by Xinyi Lyu (14756739)

“…When using this model, we found that EPO treated mice showed significant splenomegaly. …”

Supplementary Material for: Does oXiris Matter? A Comparative Outcome Study in CRRT-Treated Septic ICU Patients by figshare admin karger (2628495)

“…Inflammatory markers (CRP, PCT) remained elevated in oXiris patients through day 5, while hemodynamic stabilization (lactate decline, norepinephrine reduction) was more pronounced. Platelet counts decreased in both groups without recovery. Conclusions: Our study demonstrated that patients with sepsis treated using the oXiris filter exhibited significantly higher ICU survival rates, despite higher mechanical ventilation duration and ICU length of stay. …”

Data Sheet 4_Causality of genetically determined serum metabolites on lower back pain or/and sciatica: a comprehensive Mendelian randomized study.pdf by Yi-Ming Ren (555968)

“…Among them, 8 serum metabolites decreased risk of sciatica or/and lower back pain significantly (P < 0.05), and 14 serum metabolites increased risk of sciatica or/and lower back pain significantly (P < 0.05). …”

Table 3_Interactions between the intestinal microbiome and host genes in regulating vibriosis resistance in Cynoglossus semilaevis.xlsx by Weiwei Zheng (140828)

“…</p>Results<p>Obvious histopathological differences were observed between the resistant and susceptible groups in terms of inflammatory cells infiltration, and tissue dissociation of mucosal layer. 16S rRNA sequencing analysis indicated that Vibrio increased but Stenotrophomonas, Chryseobacterium, Delftia, and Salinivibrio decreased in the susceptible group. Compared to the control group, 1,986 differentially expressed genes (DEGs) were detected in the susceptible group, significantly more than the 310 DEGs found in the resistant group. …”

Data Sheet 5_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 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. …”