Excerpts

Consistent with the TSDR demethylation analyses, we observed a mild trend toward reduced numbers of FOXP3 positive cells in CD4 SP cell population, which did not achieve statistical significance (p=0.1841).

The variables identified as significantly associated with outcome variables ( p < 0.05), that were marginally significant ( p < 0.20, t ) in the univariate analysis, or that are considered clinically relevant were selected for inclusion in the Cox regression model, which analyzed parameters associated with a loss in kidney graft function equal to at least 10% of the eGFR over the follow-up period of the 148 patients (median duration of follow-up: 13.3 months, 25–75th percentile: 12.1–15.1 months post-evaluation).

Multiple logistic regressions (backward variable selection) were performed using variables trending towards significance ( p <0.2) at univariate analyses, to determine factors independently associated with remission at month 12 and 24 with anti-IL-5/Rα biologics.

However, there was an overall trend ( p = 0.2) toward increased expression levels of most TLR genes (with the exception of TLR4 and TLR9), with an increase in mean expression levels ranging between 20 and 125% in the 2′-FL group compared to the REF group.

Comparison to direct A438079 treated wounds approached significance (p=0.21), suggesting even a day 0 treatment with A438079 exerted some anti-inflammasome activity over the course of diabetic healing.

A random case-control matching was performed and patients without a history of smoking maintained a higher risk of disease progression (HR = 1.68 [95% CI: 1.17–2.40], p = 0.0045) and a nonsignificant trend towards a reduced overall survival (OS) (HR = 1.32 [95% CI: 0.84–2.07], p = 0.2205).

Consistent with our previous findings ( Figure 3A ), additional validation analyses showed a trend toward eosinophil enrichment ( p = 0.23) and CD4 memory activated ( p < 0.01) in the ABC subtype, and a significant enrichment of M0 macrophages in the GCB subtype ( Supplementary Figure 5A ).

Subgroup analysis showed a numerical trend toward longer median PFS in patients with PD-L1 CPS ≥ 1 compared with CPS < 1 (14.0 vs. 12.8 months; P = 0.235).

At T0, patients who developed n-BSI showed a trend toward an increase of LBP (median, IQR, ng/mL) than those without n-BSI [34470 (27580-47790) vs 25050 (10334-49250), p=0.24] ( Figure 3A ).

Alpha-diversity analysis showed a trend of elevation in microbial richness ( P = 0.253 for observed OTUs index and P = 0.175 for Shannon) in AF mice compared with PF mice, while IL-22 treatment to AF mice had the highest levels of both alpha-diversity indexes ( Figure 4A ).

Although the ECE-positive group exhibited a numerical trend toward poorer OS, the difference was not statistically significant (P = 0.270; Figure 3 ).

However, the combination group showed a trend toward improved OS (24.8 vs. 16.7 months, P= 0.282), with a significant benefit in BCLC-C patients (17.9 vs. 11.0 months, P= 0.048).

Using a signature geneset for epithelial-to-mesenchymal transition (EMT), we show that SSc endothelial cells showed a trend toward enrichment in EMT-associated genes ( p = 0.284, Figure 3B ).

Although there was a slight trend toward improved survival in patients with triple positive cells, this difference was not statistically significant (p=0.308).

While short-term therapy (<3 years) showed a nonsignificant trend toward improved survival compared with no treatment (P = 0.311), only treatment durations exceeding 3 years resulted in a significantly superior survival outcome (P = 0.004).

Patients with Δ>3.45% showed a trend toward longer PFS compared to those with Δ<3.45% (8.0 vs. 7.0 months; HR = 0.637, 95% CI 0.243–1.671, P = 0.318, Supplementary Figure S3a ).

In particular, when compared to the E7 wt, with or without the NAL modification in p4, the efficacy of E7-scaff peptides showed a trend of improvement which did not reach the statistical significance (p = 0.35) ( Figures 6A, B ).

(2024) ( 25 ), the occurrence of irAEs was found to be associated with a slight trend of better outcome with a mOS not reached versus 12 months (95% CI, 9.3-14.7; p=0.35) and mPFS of 11 months (95% CI, 3.4-18.5) versus 8 months (95% CI, 7.1-8.9; p=0.401).

The spleen index was elevated (SMD = 0.69; 95% CI [0.08, 1.29]; P = 0.03), IL-2 levels were increased (SMD = 1.71; 95% CI [0.88, 2.55]; P < 0.0001), IFN-γ levels were elevated (SMD = 1.14; 95% CI [0.72, 1.56]; P < 0.00001), while IL-6 levels showed a decreasing trend (SMD = -0.73; 95% CI [-2.42, 0.96]; P = 0.40), and TNF-α levels were elevated (SMD = 0.24; 95% CI [-0.81, 1.28]; P = 0.66).

Patients with overweight or obesity who received only anti-PD-1 showed a trend toward worse PFS (p = 0.40) but no clear change in OS (p = 0.35) ( 37 ).

7.85%, P = 0.032), while Faecalibacterium showed a trend toward depletion without reaching nominal significance (4.45% vs. 4.66%, P = 0.409).

coli showed a significant effect ( p < 0.01) on body temperature, while the administration of mixed LAB strains ( p = 0.07) showed a decreasing trend in the body temperature, and the interaction between mixed LAB strains and E. coli showed no significant effect ( p = 0.41) on the body temperature in mice.

3.8 Common genetic architecture and molecular mechanisms of metabolic syndrome and gout LDSC analysis revealed highly significant positive genetic correlation between metabolic syndrome and gout at the genome-wide level (rg=0.321, P = 4.24×10 - 1 5 ), indicating that the two diseases share a large number of identical genetic risk variants, providing a genetic explanation for their comorbidity.

Although no statistically significant effects were reached, the use of vitamin D supplementation showed a trend for reduced mortality [odds ratio (OR) 0.74, 95% confidence interval (CI) 0.32–1.71, p = 0.48] compared with the control group, with even stronger effects, when vitamin D was administered repeatedly (OR 0.33, 95% CI 0.1–1.14).

Patients with EBV-HLH showed a trend toward lower levels of IFN-γ in CD8 + T cells (28.23% vs. 20.10%, p = 0.494) and a higher granzyme B expression (9.94% vs . 15.60%, p = 0.418) ( Figure 3D ).