Impaired Ubr5 function results in increased canonical and decreased non-canonical HH signalling. by David Mellis (2833469)

ROS and superoxide decrease in the dormant form of mycobacteria. by Amar Yeware (7115063)

HVR1-swap compensatory E1/E2 substitutions typically decrease virus entry dependency on SR-BI. by Christina Holmboe Olesen (11154333)

Downregulation of DOM decreases the abundance of PER and TIM. by Zhenxing Liu (399809)

“…Downregulation of DOM decreased PER levels at CT1-5 and CT17-21. (Scale bar: 50 um.) …”

A genetic variant in human FIRE is associated with a decreased interferon response in myeloid cells. by Anaïs Assouvie (9600529)

<i>Ubr5</i>^<i>mt</i> synovium exhibits markers of increased canonical and decreased non-canonical HH signalling. by David Mellis (2833469)

I348T increases H77 entry dependency on SR-BI, while T385P decreases H77 entry dependency on SR-BI. by Christina Holmboe Olesen (11154333)

Example of K^trans decrease during therapy. by Jean-Philip Daniel Weber (12213395)

The m⁶A peak of 3’UTR of TLR4 mRNA decreases significantly in METTL14-knockdown PK-15 cells. by Jing Chen (4762)

“…<p>(A) The m⁶A peak marked in green is decreased in the 3’UTR of TLR4, TLR6, MYD88, TRIF, and other 7 genes from m⁶A-seq data in METTL14-knockdown PK-15 cells infected with CSFV (MOI = 1). …”

Image_2_Serum Zinc-α2-Glycoprotein Levels Were Decreased in Patients With Premature Coronary Artery Disease.JPEG by Meijuan Liu (4924417)

“…At the cutoff value of 7.955 μg/mL serum ZAG, the sensitivity and specificity for differentiating patients with PCAD from controls were 50.5 and 78.0%, respectively. The combination of ZAG with other clinical variables including age, gender, BMI, SBP, FBG, TC, HDL-C, Cr, and Urea had significantly improved the diagnosis accuracy with a sensitivity of 82.6%, a specificity of 95.0%, and AUC of 0.957 (95% CI, 0.940–0.975, p < 0.05).…”

Image_1_Serum Zinc-α2-Glycoprotein Levels Were Decreased in Patients With Premature Coronary Artery Disease.JPEG by Meijuan Liu (4924417)

“…At the cutoff value of 7.955 μg/mL serum ZAG, the sensitivity and specificity for differentiating patients with PCAD from controls were 50.5 and 78.0%, respectively. The combination of ZAG with other clinical variables including age, gender, BMI, SBP, FBG, TC, HDL-C, Cr, and Urea had significantly improved the diagnosis accuracy with a sensitivity of 82.6%, a specificity of 95.0%, and AUC of 0.957 (95% CI, 0.940–0.975, p < 0.05).…”

Table_1_Serum Zinc-α2-Glycoprotein Levels Were Decreased in Patients With Premature Coronary Artery Disease.DOCX by Meijuan Liu (4924417)

“…At the cutoff value of 7.955 μg/mL serum ZAG, the sensitivity and specificity for differentiating patients with PCAD from controls were 50.5 and 78.0%, respectively. The combination of ZAG with other clinical variables including age, gender, BMI, SBP, FBG, TC, HDL-C, Cr, and Urea had significantly improved the diagnosis accuracy with a sensitivity of 82.6%, a specificity of 95.0%, and AUC of 0.957 (95% CI, 0.940–0.975, p < 0.05).…”

AgLDL induce the decrease of ΔΨm and ATP in THP-1 macrophages, without mtROS or apoptosis. by Gabriela M. Sanda (10031559)

Inhibition of NEAT1 decreased the miR-204-5p expression and increased Six1 expression. by Lei Li (29537)

“…<p>(A) NEAT1 expression following siRNA transfection in BEAS-2B cells; (B-D) The expression of NEAT1, miR-204-5p, and Six1 after decreasing NEAT1 expression. * p <0.05, *** p < 0.001, and **** p <0.0001.…”

Decreased respiratory performance of children and adolescents with myelomeningocele who use a wheelchair – preliminary data by E.J. Martins (7141313)

TREM1 inhibition decreases HIV mediated inflammatory cytokine production. by Jinhee Hyun (6900683)

Deletion of TAL does not decrease GNG flux. by Julie Kovářová (4114573)

Distribution of miRs with a greater than two fold-change. by Stephanie L. Samani (17896610)

Subjects:

Mitochondrial protein acetylation correlates with a decrease in sirtuin 3 levels. by Mercedes García-Roche (6459200)

Madrasin decreases transcription of protein-coding genes. by Michael Tellier (8284752)