The patients with PMR had a significant inflammatory gene expression profile, abundant inflammatory genes that may activate JAK signaling. by Xinlei Ma (1423633)

“…<p><b>(A)</b> Heatmap showed that gene expression of PBMCs was different among patients with new active PMR (<i>n =</i> 11) and HCs (<i>n</i> = 20) by RNA sequence analysis. …”

Metabolic differences between RTS and FC osteoblasts. by Brittany E. Jewell (11886281)

“…<p>(A-E) Enzyme activity of complexes I and III (A), complex II (B), complexes II and III (C), complex IV (D), and citrate synthase (E) show no significant difference between RTS and FC osteoblasts, leaving complex I as the only component of the electron transport chain with upregulated activity. n = 3 biological replicates. …”

related to Fig 5. (A) the total number of eggs in the livers did not differ between BL/6 and Gsdmd-/- mice. by Madhusoodhanan Suresh Kumar Meena Kumari (20896666)

“…Data are representative of two independent experiments. Significance was determined using a Student’s t-test ***p < 0.0005.…”

a-d. Difference in (a) probing depth; (b) clinical attachment level; (c) bleeding on probing, and (d) plaque index values between baseline and six months after treatment using systemic and local antibiotic treatment. **** - <i>p</i> values less than 0.001; ns – not significant. by Iva Milinkovic (22331710)

“…<p>a-d. Difference in (a) probing depth; (b) clinical attachment level; (c) bleeding on probing, and (d) plaque index values between baseline and six months after treatment using systemic and local antibiotic treatment. **** - <i>p</i> values less than 0.001; ns – not significant.…”

Significantly different metabolites between insomnia and non-insomnia groups. by Arisa Tanaka (17684607)

“…<p>Significantly different metabolites between insomnia and non-insomnia groups.…”

Significantly different genetic distances between and within crustacean species. by Bezeng S. Bezeng (7387886)

Significant association between sociodemographics and different types of dietary supplements. by Anwar M. Alhashem (13839886)

“…<p>Significant association between sociodemographics and different types of dietary supplements.…”

Significant difference in the angles between each Kellgren–Lawrence classification. by Yusuke Ozaki (2554915)

The number of features that were significantly different between the two groups. by Xingyun Liu (5087849)

“…<p>The number of features that were significantly different between the two groups.</p>…”

Image_4_Repeated Inoculation of Young Calves With Rumen Microbiota Does Not Significantly Modulate the Rumen Prokaryotic Microbiota Consistently but Decreases Diarrhea.TIF by Dengpan Bu (369549)

“…No correlation was observed in relative abundance of major OTUs or genera between the donor and the calves. Principal coordinates analysis (PCoA) based on weighted UniFrac distance showed no significant (P > 0.05) difference in the overall rumen prokaryotic microbiota profiles among the four calf groups, and principal component analysis (PCA) based on Bray-Curtis dissimilarity showed no significant (P > 0.05) difference in functional features predicted from the detected taxa. …”

Image_1_Repeated Inoculation of Young Calves With Rumen Microbiota Does Not Significantly Modulate the Rumen Prokaryotic Microbiota Consistently but Decreases Diarrhea.TIF by Dengpan Bu (369549)

“…No correlation was observed in relative abundance of major OTUs or genera between the donor and the calves. Principal coordinates analysis (PCoA) based on weighted UniFrac distance showed no significant (P > 0.05) difference in the overall rumen prokaryotic microbiota profiles among the four calf groups, and principal component analysis (PCA) based on Bray-Curtis dissimilarity showed no significant (P > 0.05) difference in functional features predicted from the detected taxa. …”

Image_3_Repeated Inoculation of Young Calves With Rumen Microbiota Does Not Significantly Modulate the Rumen Prokaryotic Microbiota Consistently but Decreases Diarrhea.TIF by Dengpan Bu (369549)

“…No correlation was observed in relative abundance of major OTUs or genera between the donor and the calves. Principal coordinates analysis (PCoA) based on weighted UniFrac distance showed no significant (P > 0.05) difference in the overall rumen prokaryotic microbiota profiles among the four calf groups, and principal component analysis (PCA) based on Bray-Curtis dissimilarity showed no significant (P > 0.05) difference in functional features predicted from the detected taxa. …”

Image_5_Repeated Inoculation of Young Calves With Rumen Microbiota Does Not Significantly Modulate the Rumen Prokaryotic Microbiota Consistently but Decreases Diarrhea.TIF by Dengpan Bu (369549)

“…No correlation was observed in relative abundance of major OTUs or genera between the donor and the calves. Principal coordinates analysis (PCoA) based on weighted UniFrac distance showed no significant (P > 0.05) difference in the overall rumen prokaryotic microbiota profiles among the four calf groups, and principal component analysis (PCA) based on Bray-Curtis dissimilarity showed no significant (P > 0.05) difference in functional features predicted from the detected taxa. …”

Image_2_Repeated Inoculation of Young Calves With Rumen Microbiota Does Not Significantly Modulate the Rumen Prokaryotic Microbiota Consistently but Decreases Diarrhea.TIF by Dengpan Bu (369549)

“…No correlation was observed in relative abundance of major OTUs or genera between the donor and the calves. Principal coordinates analysis (PCoA) based on weighted UniFrac distance showed no significant (P > 0.05) difference in the overall rumen prokaryotic microbiota profiles among the four calf groups, and principal component analysis (PCA) based on Bray-Curtis dissimilarity showed no significant (P > 0.05) difference in functional features predicted from the detected taxa. …”

A summary of the results for each of the populations: difference in laxity index (LI) between sex, difference in LI between hip side, heritability (h²) of LI and odds ra... by Birgit Deboutte (19452787)

Cohabiting with ulcerative colitis patients decreases differences of gut microbiome between healthy individuals and the patients by Chen Li (54018)

“…<b>Results:</b> We found that the microbiome diversity of couples with UC decreased, especially that of UC patients. Bacterial composition, such as Firmicutes, was altered between UC patients and healthy controls, but was not significantly different between UC patients and their spouses. …”

Age difference between patients with negative and positive serologic results in adults(a) and children(b). by Jesús Poch-Páez (21807825)

Comparison of percentage of (a) snoring time and (b) respiratory events in each sleep stage between young men (<i>n</i> = 29) and young women (<i>n</i> = 33) aged < 40 years with m... by Masaaki Suzuki (209213)

Transcript response differences between T1R and LEP patients for GO terms, KEGG or Reactome pathways that showed significant enrichment for both the LEP and T1R groups. by Wilian Correa-Macedo (11813183)

“…<p>Immune response-linked terms for which the 5639 overlapping up-regulated DET presented in <a href="http://www.plosntds.org/article/info:doi/10.1371/journal.pntd.0011866#pntd.0011866.g002" target="_blank">Fig 2D and 2E</a> were significantly enriched. …”

The number of gauging cross-sections where a statistically significant decreasing trend was identified. by Krzysztof Kochanek (835532)

“…<p>The number of gauging cross-sections where a statistically significant decreasing trend was identified.…”