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a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
greater decrease » greatest decrease (Expand Search), greater increase (Expand Search), greater disease (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
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20581
Inflammatory markers correlate with lymphocytes infiltrating and predict immunotherapy prognosis for esophageal cancer
Published 2024“…</p> <p><b>Results:</b> Decreased inflammation was found to be associated with increased CD3<sup>+</sup> and CD8<sup>+</sup> T-cell infiltration and a better prognosis. …”
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20582
Table 3_Association of SPP1 and NCAPG genes with milk production traits in Chinese Holstein cows: polymorphism and functional validation analysis.xlsx
Published 2024“…Linkage disequilibrium analysis showed that 2 SNPs of SPP1 (g. 36,700,265 C > T and g. 36,693,596 C > A) constituted a haplotype that correlated with milk protein percentage, and the dominant haplotype was H2H2, which was CCTT. 4 SNPs of NCAPG (g. 37,342,705 C > A, g. 37,343,379 G > T, g. 37,374,314 C > A and g. 37,377,857 G > A) constituted a haplotype associated with milk protein percentage, 305-days milk protein yield and 305 days milk yield. …”
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20583
Table 2_Determining the efficacy and safety of acupuncture for the treatment of menstrual migraine: an updated systematic review and meta-analysis.docx
Published 2025“…Compared with control interventions, acupuncture significantly reduced VAS scores, decreased the frequency and duration of migraine attacks, and improved response rates, as well as HIT-6 and MHI scores. …”
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20584
Table 4_Association of SPP1 and NCAPG genes with milk production traits in Chinese Holstein cows: polymorphism and functional validation analysis.xlsx
Published 2024“…Linkage disequilibrium analysis showed that 2 SNPs of SPP1 (g. 36,700,265 C > T and g. 36,693,596 C > A) constituted a haplotype that correlated with milk protein percentage, and the dominant haplotype was H2H2, which was CCTT. 4 SNPs of NCAPG (g. 37,342,705 C > A, g. 37,343,379 G > T, g. 37,374,314 C > A and g. 37,377,857 G > A) constituted a haplotype associated with milk protein percentage, 305-days milk protein yield and 305 days milk yield. …”
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20585
Supplementary Material for: ACOT4 and ACOT6 activate Akt-mTOR pathway and inhibit calcium oxalate-induced renal tubular cell injury
Published 2025“…Introduction: Kidney stones caused by calcium oxalate (CaOx) is a chronic kidney disease. Acyl coenzyme A thioesterases (ACOTs) serve as the key regulators of fatty acids metabolism. …”
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20586
Table 1_Jing-Yin-Gu-Biao formula protects mice from postinfluenza Staphylococcus aureus infection by ameliorating acute lung injury and improving hypercoagulable state via inhibiti...
Published 2025“…Meanwhile, JYGBF inhibited the formation of neutrophil extracellular traps (NETs) in lungs, which is characterized by the production of ROS, peptidyl arginine deiminase 4 (PAD4), citrullinated histone H3 (CitH3), myeloperoxidase (MPO), neutrophil elastase (NE), S100A8/A9 and MPO-CitH3 colocalization. Moreover, JYGBF decreased platelet counts and the expression of its activated markers (CD62P and αIIbβ3) accompanied by the drop of fibrinogen (FIB) and fibrin degradation product (FDP), accounting for alleviating hypercoagulable state. …”
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20587
Data Sheet 1_Jing-Yin-Gu-Biao formula protects mice from postinfluenza Staphylococcus aureus infection by ameliorating acute lung injury and improving hypercoagulable state via inh...
Published 2025“…Meanwhile, JYGBF inhibited the formation of neutrophil extracellular traps (NETs) in lungs, which is characterized by the production of ROS, peptidyl arginine deiminase 4 (PAD4), citrullinated histone H3 (CitH3), myeloperoxidase (MPO), neutrophil elastase (NE), S100A8/A9 and MPO-CitH3 colocalization. Moreover, JYGBF decreased platelet counts and the expression of its activated markers (CD62P and αIIbβ3) accompanied by the drop of fibrinogen (FIB) and fibrin degradation product (FDP), accounting for alleviating hypercoagulable state. …”
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20588
Table 5_Association of SPP1 and NCAPG genes with milk production traits in Chinese Holstein cows: polymorphism and functional validation analysis.xlsx
Published 2024“…Linkage disequilibrium analysis showed that 2 SNPs of SPP1 (g. 36,700,265 C > T and g. 36,693,596 C > A) constituted a haplotype that correlated with milk protein percentage, and the dominant haplotype was H2H2, which was CCTT. 4 SNPs of NCAPG (g. 37,342,705 C > A, g. 37,343,379 G > T, g. 37,374,314 C > A and g. 37,377,857 G > A) constituted a haplotype associated with milk protein percentage, 305-days milk protein yield and 305 days milk yield. …”
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20589
Changes in dorsal-ventral patterning of CA1 in COUP-TFI mutant hippocampus.
Published 2025“…The Dcn/Wfs1 ratio was significantly decreased in the cKO and increased in the cTG. …”
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20590
Table 4_Establishment and validation of the prediction model based on lymphocyte subsets for acute kidney injury in sepsis patients.docx
Published 2025“…On day 1, several lymphocyte subsets were significantly altered in the AKI group, including increased CD4<sup>+</sup>CD38<sup>+</sup>T%, CD8<sup>+</sup>CD38<sup>+</sup>T%, CD155<sup>+</sup>T%, CD4<sup>+</sup>TeM<sup>+</sup>T%, CD8<sup>+</sup>TIGIT<sup>+</sup>T%, and M-MDSC, and decreased CD4<sup>+</sup>LAG3<sup>+</sup>T%, CD4<sup>+</sup>TN<sup>+</sup>T%, and Th17 cells. …”
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20591
Table 2_Establishment and validation of the prediction model based on lymphocyte subsets for acute kidney injury in sepsis patients.docx
Published 2025“…On day 1, several lymphocyte subsets were significantly altered in the AKI group, including increased CD4<sup>+</sup>CD38<sup>+</sup>T%, CD8<sup>+</sup>CD38<sup>+</sup>T%, CD155<sup>+</sup>T%, CD4<sup>+</sup>TeM<sup>+</sup>T%, CD8<sup>+</sup>TIGIT<sup>+</sup>T%, and M-MDSC, and decreased CD4<sup>+</sup>LAG3<sup>+</sup>T%, CD4<sup>+</sup>TN<sup>+</sup>T%, and Th17 cells. …”
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20592
Table 5_Establishment and validation of the prediction model based on lymphocyte subsets for acute kidney injury in sepsis patients.docx
Published 2025“…On day 1, several lymphocyte subsets were significantly altered in the AKI group, including increased CD4<sup>+</sup>CD38<sup>+</sup>T%, CD8<sup>+</sup>CD38<sup>+</sup>T%, CD155<sup>+</sup>T%, CD4<sup>+</sup>TeM<sup>+</sup>T%, CD8<sup>+</sup>TIGIT<sup>+</sup>T%, and M-MDSC, and decreased CD4<sup>+</sup>LAG3<sup>+</sup>T%, CD4<sup>+</sup>TN<sup>+</sup>T%, and Th17 cells. …”
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20593
Table 6_Establishment and validation of the prediction model based on lymphocyte subsets for acute kidney injury in sepsis patients.docx
Published 2025“…On day 1, several lymphocyte subsets were significantly altered in the AKI group, including increased CD4<sup>+</sup>CD38<sup>+</sup>T%, CD8<sup>+</sup>CD38<sup>+</sup>T%, CD155<sup>+</sup>T%, CD4<sup>+</sup>TeM<sup>+</sup>T%, CD8<sup>+</sup>TIGIT<sup>+</sup>T%, and M-MDSC, and decreased CD4<sup>+</sup>LAG3<sup>+</sup>T%, CD4<sup>+</sup>TN<sup>+</sup>T%, and Th17 cells. …”
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20594
Table 1_Establishment and validation of the prediction model based on lymphocyte subsets for acute kidney injury in sepsis patients.docx
Published 2025“…On day 1, several lymphocyte subsets were significantly altered in the AKI group, including increased CD4<sup>+</sup>CD38<sup>+</sup>T%, CD8<sup>+</sup>CD38<sup>+</sup>T%, CD155<sup>+</sup>T%, CD4<sup>+</sup>TeM<sup>+</sup>T%, CD8<sup>+</sup>TIGIT<sup>+</sup>T%, and M-MDSC, and decreased CD4<sup>+</sup>LAG3<sup>+</sup>T%, CD4<sup>+</sup>TN<sup>+</sup>T%, and Th17 cells. …”
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20595
Table 3_Establishment and validation of the prediction model based on lymphocyte subsets for acute kidney injury in sepsis patients.docx
Published 2025“…On day 1, several lymphocyte subsets were significantly altered in the AKI group, including increased CD4<sup>+</sup>CD38<sup>+</sup>T%, CD8<sup>+</sup>CD38<sup>+</sup>T%, CD155<sup>+</sup>T%, CD4<sup>+</sup>TeM<sup>+</sup>T%, CD8<sup>+</sup>TIGIT<sup>+</sup>T%, and M-MDSC, and decreased CD4<sup>+</sup>LAG3<sup>+</sup>T%, CD4<sup>+</sup>TN<sup>+</sup>T%, and Th17 cells. …”
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20596
Proteomic and Functional Analysis on Endothelial Cell Heterogeneity Identifies Key Regulators in Hyperglycemia-Induced Dysfunction-Supplemental Materials
Published 2025“…<p dir="ltr">Endothelial cells (ECs) play a critical role in managing vascular homeostasis and neovascularization. …”
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20597
Interactions between the intestinal microbiome and host genes in regulating vibriosis resistance in Cynoglossus semilaevis
Published 2025“…Obvious histopathological differences were detected in resistant and susceptible individuals in terms of inflammatory cells infiltration, and tissue dissociation of mucosal layer. 16S rRNA sequencing was performed to characterize the changes in intestinal microbial community, in which Vibrio increased but Stenotrophomonas, Chryseobacterium, Delftia, and Salinivibrio decreased in the susceptible group. RNA-seq analysis indicated that 1,986 differentially expressed genes (DEGs) were detected in the susceptible group, significantly more than 310 in the resistant group, when compared to the control group. …”
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20598
Image 1_Suppressed oncogenic molecules involved in the treatment of colorectal cancer by fecal microbiota transplantation.png
Published 2024“…The diameter and number of cancerous foci were significantly decreased in CRC mice treated with FMT, along with the restoration of the intestinal mucosal structure and the lessening of the gland arrangement disorder. …”
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20599
Table 1_Suppressed oncogenic molecules involved in the treatment of colorectal cancer by fecal microbiota transplantation.docx
Published 2024“…The diameter and number of cancerous foci were significantly decreased in CRC mice treated with FMT, along with the restoration of the intestinal mucosal structure and the lessening of the gland arrangement disorder. …”
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20600
Image 1_Understanding the influence of plant genetic factors on rhizosphere microbiome assembly in Panax notoginseng.pdf
Published 2024“…The relative abundance of PBB, but not FPP, decreased after plant cultivation. There were significantly negative correlations between FPP and PBB, particularly the biocontrol subgroup (ρ = −0.56, p < 0.001). …”