Image 2_Systemic immune inflammatory index and mortality in chronic kidney disease.tif by Yanshuang Ma (22176478)

“…Higher SII levels correlated with decreased survival and longevity. In CKD patients over 45 years, SII reliably predicted all-cause mortality (statistically significant) and was linked to cardiovascular and cancer deaths (not statistically significant).…”

Image 3_Systemic immune inflammatory index and mortality in chronic kidney disease.tif by Yanshuang Ma (22176478)

“…Higher SII levels correlated with decreased survival and longevity. In CKD patients over 45 years, SII reliably predicted all-cause mortality (statistically significant) and was linked to cardiovascular and cancer deaths (not statistically significant).…”

Image 4_Systemic immune inflammatory index and mortality in chronic kidney disease.tif by Yanshuang Ma (22176478)

“…Higher SII levels correlated with decreased survival and longevity. In CKD patients over 45 years, SII reliably predicted all-cause mortality (statistically significant) and was linked to cardiovascular and cancer deaths (not statistically significant).…”

Image 5_Systemic immune inflammatory index and mortality in chronic kidney disease.tif by Yanshuang Ma (22176478)

“…Higher SII levels correlated with decreased survival and longevity. In CKD patients over 45 years, SII reliably predicted all-cause mortality (statistically significant) and was linked to cardiovascular and cancer deaths (not statistically significant).…”

Image 6_Systemic immune inflammatory index and mortality in chronic kidney disease.tif by Yanshuang Ma (22176478)

“…Higher SII levels correlated with decreased survival and longevity. In CKD patients over 45 years, SII reliably predicted all-cause mortality (statistically significant) and was linked to cardiovascular and cancer deaths (not statistically significant).…”

Image 2_Profiling of small RNAs derived from tomato brown rugose fruit virus in infected Solanum lycopersicum plants by deep sequencing.jpeg by Mangle Chen (20639051)

“…Seven potential target genes were selected for qRT-PCR analysis, confirming that their transcript accumulation significantly decreased in the leaves of tomato plants infected with ToBRFV. …”

Table 7_Profiling of small RNAs derived from tomato brown rugose fruit virus in infected Solanum lycopersicum plants by deep sequencing.docx by Mangle Chen (20639051)

“…Seven potential target genes were selected for qRT-PCR analysis, confirming that their transcript accumulation significantly decreased in the leaves of tomato plants infected with ToBRFV. …”

Image 3_Profiling of small RNAs derived from tomato brown rugose fruit virus in infected Solanum lycopersicum plants by deep sequencing.jpeg by Mangle Chen (20639051)

“…Seven potential target genes were selected for qRT-PCR analysis, confirming that their transcript accumulation significantly decreased in the leaves of tomato plants infected with ToBRFV. …”

Image 5_Profiling of small RNAs derived from tomato brown rugose fruit virus in infected Solanum lycopersicum plants by deep sequencing.jpeg by Mangle Chen (20639051)

“…Seven potential target genes were selected for qRT-PCR analysis, confirming that their transcript accumulation significantly decreased in the leaves of tomato plants infected with ToBRFV. …”

Table 4_Profiling of small RNAs derived from tomato brown rugose fruit virus in infected Solanum lycopersicum plants by deep sequencing.xlsx by Mangle Chen (20639051)

“…Seven potential target genes were selected for qRT-PCR analysis, confirming that their transcript accumulation significantly decreased in the leaves of tomato plants infected with ToBRFV. …”

Image 4_Profiling of small RNAs derived from tomato brown rugose fruit virus in infected Solanum lycopersicum plants by deep sequencing.jpeg by Mangle Chen (20639051)

“…Seven potential target genes were selected for qRT-PCR analysis, confirming that their transcript accumulation significantly decreased in the leaves of tomato plants infected with ToBRFV. …”

Table 5_Profiling of small RNAs derived from tomato brown rugose fruit virus in infected Solanum lycopersicum plants by deep sequencing.xlsx by Mangle Chen (20639051)

“…Seven potential target genes were selected for qRT-PCR analysis, confirming that their transcript accumulation significantly decreased in the leaves of tomato plants infected with ToBRFV. …”

Table 6_Profiling of small RNAs derived from tomato brown rugose fruit virus in infected Solanum lycopersicum plants by deep sequencing.xlsx by Mangle Chen (20639051)

“…Seven potential target genes were selected for qRT-PCR analysis, confirming that their transcript accumulation significantly decreased in the leaves of tomato plants infected with ToBRFV. …”

Table 3_Profiling of small RNAs derived from tomato brown rugose fruit virus in infected Solanum lycopersicum plants by deep sequencing.xls by Mangle Chen (20639051)

“…Seven potential target genes were selected for qRT-PCR analysis, confirming that their transcript accumulation significantly decreased in the leaves of tomato plants infected with ToBRFV. …”

Table 2_Profiling of small RNAs derived from tomato brown rugose fruit virus in infected Solanum lycopersicum plants by deep sequencing.xls by Mangle Chen (20639051)

“…Seven potential target genes were selected for qRT-PCR analysis, confirming that their transcript accumulation significantly decreased in the leaves of tomato plants infected with ToBRFV. …”

<b>Phenological changes mediated the effects of nitrogen enrichment on reproduction in an alpine meadow on the Tibetan Plateau</b> by Tianwu Zhang (22122382)

“…</p><p dir="ltr">We found that N addition delayed the reproductive period and decreased both flower and fruit production in alpine plants. …”

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 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. …”