Supplementary file 1_Bioactive fraction isolated from Curcuma angustifolia rhizome exerts anti-diabetic effects in vitro, in silico and in vivo by regulating AMPK/PKA signaling pat... by P. Kavya (21356483)

“…After 28 days of intervention, the lower and higher doses of the bioactive fraction (100 and 200 mg/kg BW) substantially decreased fasting blood glucose levels and ameliorated hyperglycemia, glucose intolerance, insulin resistance, and hyperlipidemia. …”

Table 4_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 5_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 2_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 1_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. …”

Image 1_Interactions between the intestinal microbiome and host genes in regulating vibriosis resistance in Cynoglossus semilaevis.jpeg 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 9_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 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. …”

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 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 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. …”

Supplementary Material for: The effectiveness of regionalization of perinatal care and specific facility-based interventions: A systematic review by Ali A.A. (19754238)

“…Results: Implementation of regionalization programs significantly decreased maternal and perinatal mortality. …”

Relative expression of hub genes. by Ziyang Liu (242055)

“…<p>qPCR results showed that the expression of EXT1 and FMOD was significantly upregulated in DKD mouse(p < 0.01), while SBSPON expression decreased (p < 0.05) and SPTB expression decreased significantly (p < 0.01).…”

PRMT5 isoforms during zebrafish developmental stages by Zain Zakaria (20354028)

“…NCBI database (version of 2019) was used in the searches. The significance of identification was set to p<0.5, one missed cleavage was allowed, and the expectation value was set to >0.95. …”

Table_1_Biological characterization and in vitro fungicide screening of a new causal agent of walnut leaf spot in Guizhou Province, China.DOCX by Xianxi Ao (19822227)

“…Increasing the light period significantly decreased conidia production and conidia germination. …”

Data Sheet 1_Global burden of nasopharyngeal carcinoma attributable to alcohol use: a 1990–2021 analysis with projections to 2040.pdf by Zhenyi Lu (22004786)

“…Background<p>Nasopharyngeal carcinoma attributable to alcohol use (NPC-AU) contributes substantially to global cancer mortality and disability, yet its temporal and geographic patterns remain incompletely described.…”

Chromatin accessibility profiling of Treg cells in acute urticaria by Leilei Wen (3551444)

“…In this study, we found that the frequency of Tregs in peripheral blood mononuclear cells (PBMCs) was decreased in patients with acute urticaria compared with normal controls by flow cytometry. …”

Descriptive Statistics. by Sayed Jubair Bin Hossain (22430672)

“…Moreover, conflict-induced migration substantially augmented the incidence of hunger (IRR = 1.262; 95% CI: 1.111–1.435) and going without eating for an entire day (IRR = 1.251; 95% CI: 1.032–1.516), though international migration to Yemen decreased food insecurity. …”

Data Sheet 2_Global burden of nasopharyngeal carcinoma attributable to alcohol use: a 1990–2021 analysis with projections to 2040.zip by Zhenyi Lu (22004786)

“…Background<p>Nasopharyngeal carcinoma attributable to alcohol use (NPC-AU) contributes substantially to global cancer mortality and disability, yet its temporal and geographic patterns remain incompletely described.…”

The result of the Negative Binomial Regression. by Sayed Jubair Bin Hossain (22430672)

“…Moreover, conflict-induced migration substantially augmented the incidence of hunger (IRR = 1.262; 95% CI: 1.111–1.435) and going without eating for an entire day (IRR = 1.251; 95% CI: 1.032–1.516), though international migration to Yemen decreased food insecurity. …”