“extremely significant”

In all cases, differences between treatment groups were considered if p < 0.05 marked “ * ”, significant if p < 0.01 marked “ ** ” and extremely significant if p < 0.001 marked “ *** ”.

The levels of serum CRP, IL-6, TNF-α, MMP-3, and MDA in patients with CSVD with cognitive frailty were significantly higher than those of the Control group, while the level of SOD was significantly lower than those of the Control group, and the differences were extremely significant ( p < 0.001).

NQO-1 and HO-1 are the most important antioxidant proteins downstream of Nrf2, and their enzymatic activity increased differently in sample group HSF cells compared to the H 2 O 2 and control groups, with their relative expression levels showing extremely significant differences ( p < 0.001).

On comparing the damage to ciliary activity caused by rIBVs, the rYN-1a-aYN challenged group showed lower damage with a highly significant difference at 3 and 10 dpi (p < 0.01) and an extremely significant difference at 5 and 7 days post-challenge (p < 0.001) compared with the rYN group.

As shown in Table 4 , the p -value of this experimental model is much less than 0.0001, indicating that this model has a high degree of significance (significant at p < 0.05, extremely significant at p < 0.001), and the lack of fit p = 0.1225 > 0.05 indicates that the experimental processes are nearly not affected by other unknown factors.

Differences between values were considered statistically significant at p ≤ 0.05 (*), very significant at p<0.01 (**) and extremely significant at p<0.001 (***).

Two-way analysis of variance (ANOVA) or Student's t test was used in the analysis indicated by the figure legends (*P < 0.05, significant; **P < 0.01, highly significant; ***P < 0.001, extremely significant).

Statistical significance was defined as: * p < 0.05, significant; ** p < 0.01, highly significant; *** p < 0.001 extremely significant (vs.

The p-value obtained in the evaluated data was extremely significant (p<0.001) in all objective questions, validating the data used in this research ( Table 2 ; Figure 1 ).

p-value≤0.0001 is considered as extremely significant (****), p≤0.001 as highly significant (***), p≤0.01 as very significant (**), p≤0.05 as significant (*), and p>0.05 as not significant (ns), respectively. 10.7554/eLife.58374.sa1 Decision letter Macleod Kay F Reviewing Editor University of Chicago United States In the interests of transparency, eLife publishes the most substantive revision requests and the accompanying author responses.

p < 0.05 was considered as statistically significant (*), p < 0.01 was considered highly significant (**), and p < 0.001 was considered extremely significant (***).

Differences were considered as statistically significant with p ≤ 0.05 (*), very significant with p ≤ 0.01 (**), and extremely significant with p ≤ 0.001 (***) or marked as non-significant (ns).

P < 0.05 was considered statistically significant, P < 0.01 was considered highly significant and P < 0.001 was considered extremely significant.

GSEA performed to evaluate concordance in transcriptional profile between the n = 238 genes included in the commercially available endometrial receptivity array and the LH + 7 versus LH + 2 UF-EV comparison demonstrated an extremely significant and consistent enrichment, with a normalized enrichment score (NES)=9.38 ( P < 0.001) for transcripts up-regulated in LH + 7 in the commercial array and enriched in LH + 7 UF-EVs, and a NES = −5.40 ( P < 0.001) for transcripts down-regulated in LH + 7 in the commercial array and depleted in LH + 7 UF-EVs.

However, nasal width (al-al) was greater and extremely significant with a mean difference of 8.3 mm ( p < 0.001) in males and 9.3 mm ( p < 0.001) in females.

The interaction among the strategies used was extremely significant to maintain NeuN density in the SAMP-8 groups [ F (1,16) = 19.45, p < 0.001].

It was found that the intergroup variations of PM samples at different depths were extremely significant ( p = 0.001) in PCoA based on weighted UniFrac distance ( Figure 5A ), while not significant ( p > 0.05) in PCoA based on unweighted UniFrac distance ( Figure 5B ).

In fact, among the three populations, extremely significant differences were found for CYP4C67 [ F ( 2 , 27 ) = 21.056, P < 0.001], CYP4C68 [ F ( 2 , 27 ) = 14.979, P < 0.001], CYP4C70 [ F ( 2 , 27 ) = 28.084, P < 0.001], and CYP4DB1 [ F ( 2 , 27 ) = 19.673, P < 0.001].

P <0.05 was considered as statistically significant (*), P <0.01 as highly significant (**), and P <0.001 as extremely significant (***).

Moreover, an extremely significant positive correlation was found between the cELISA and VNT by calculating the Pearson’s correlation coefficient ( r = 0.861, P < 0.001) ( Fig. 5B ).

Force data at increasing cell-cell contact times for both MB231 and MB435 cells were extremely significant (p< 0.001) by single factor ANOVA.

We observed that high concentrations of α -KG could reduce the PBE rate, while 100 μ M α -KG could significantly decrease the PBE rate of oocytes (S-table 1 ), and 10 and 20 μ M α -KG could significantly increase the PBE rate of oocytes (S-table 1 ), and the difference in the 20 μ M group was extremely significant (Con vs. 20 μ M: 64.7% ± 1.20% vs. 76.83% ± 1.05%, P < 0.001) ( Figure 1(b) ). 3.2.

Specifically, there are extremely significant statistical differences between widowed and non-widowed elders in children’s economic support ( p < 0.001), children’s sick care ( p < 0.001), and children’s emotional support ( p < 0.001), respectively.

Cytokine production by autologous T cells in coculture with DCs Coculture of autologous T cells with Der p 1-pulsed DCs induced significantly higher production of IL-4 (P<0.05) and extremely significant lower synthesis of IFN-γ (P<0.001) in the AP group compared with the HDs.

The difference is denoted in four levels, significant *p< 0.05, highly significant **p< 0.01, extremely significant ***p< 0.001, and highly extremely significant ****p< 0.0001.TBtools ( Chen et al., 2020 ), SPSS22.0, and GraphPad Prism (GraphPad Prism 8; GraphPad) were used to analyze and plot the data.