Modifications of Transatrial Transcatheter Mitral Valve Replacement Technique by Annalisa Bernabei (6654795)

LANA31-GFP-IBD reverses effect of combined LEDGF/p75 depletion and GFP-IBD dominant interference. by Anne M. Meehan (261905)

Kinetic scheme of the substrate channeling model and dynamic modeling of PDS reaction time courses. by Julian Koschmieder (765951)

Summary of the effects of deletion of Y2 receptors on non-NPY-ergic or NPY-ergic neurons in the brain. by Yan-Chuan Shi (153820)

Diversity of gastrointestinal helminths in Dall's sheep and the negative association of the abomasal nematode, <i>Marshallagia marshalli</i>, with fitness indicators by O. Alejadro Aleuy (4961965)

Table_1_Functional Analysis of OsCIPK17 in Rice Grain Filling.DOCX by Cong Gao (276817)

Exopolysaccharides from Klebsiella oxytoca: anti-inflammatory activity by Thays Avelino Bannwart (13639494)

“…Gas chromatography-mass spectrometry analyses demonstrated that the EPS consisted of rhamnose (29.83%), glucose (11.21%), galactose (52.45%), and mannose (6.50%). The treatment of an experimental pleurisy model in rats through subcutaneous administration of 50, 100, 200, and 400 mg/kg of KEPS decreased both the volume of inflammatory exudate and the number of leukocytes recruited to the pleural cavity. …”

Table 1_Tofacitinib as an adjuvant treatment for pediatric Still's disease.docx by Ling Hou (42622)

Table_1_Canagliflozin alters the gut, oral, and ocular surface microbiota of patients with type 2 diabetes mellitus.docx by Limin Wang (87511)

“…</p>Clinical parameters<p>A significant decrease in fasting plasma glucose (8.22 ± 2.19 vs 6.87 ± 1.09 mmol/L), glycated serum protein [291.00 (264.00, 353.00) vs 275.00 (251.00, 342.50) μmol/L], hemoglobin A1c (7.39 ± 1.18 vs 7.12 ± 1.33%), body mass index (25.32 ± 2.99 vs 24.83 ± 2.95 kg/m²), systolic blood pressure (129.05 ± 17.51 vs 123.43 ± 14.82 mmHg), and urinary creatinine [158.40 (74.75, 219.15) vs 79.70 (56.25, 138.10) μmmol/kg] levels was noted after 30-day Cana monotherapy (P < 0.05).…”

DataSheet_1_Canagliflozin alters the gut, oral, and ocular surface microbiota of patients with type 2 diabetes mellitus.xls by Limin Wang (87511)

“…</p>Clinical parameters<p>A significant decrease in fasting plasma glucose (8.22 ± 2.19 vs 6.87 ± 1.09 mmol/L), glycated serum protein [291.00 (264.00, 353.00) vs 275.00 (251.00, 342.50) μmol/L], hemoglobin A1c (7.39 ± 1.18 vs 7.12 ± 1.33%), body mass index (25.32 ± 2.99 vs 24.83 ± 2.95 kg/m²), systolic blood pressure (129.05 ± 17.51 vs 123.43 ± 14.82 mmHg), and urinary creatinine [158.40 (74.75, 219.15) vs 79.70 (56.25, 138.10) μmmol/kg] levels was noted after 30-day Cana monotherapy (P < 0.05).…”

DataSheet_3_Canagliflozin alters the gut, oral, and ocular surface microbiota of patients with type 2 diabetes mellitus.xls by Limin Wang (87511)

“…</p>Clinical parameters<p>A significant decrease in fasting plasma glucose (8.22 ± 2.19 vs 6.87 ± 1.09 mmol/L), glycated serum protein [291.00 (264.00, 353.00) vs 275.00 (251.00, 342.50) μmol/L], hemoglobin A1c (7.39 ± 1.18 vs 7.12 ± 1.33%), body mass index (25.32 ± 2.99 vs 24.83 ± 2.95 kg/m²), systolic blood pressure (129.05 ± 17.51 vs 123.43 ± 14.82 mmHg), and urinary creatinine [158.40 (74.75, 219.15) vs 79.70 (56.25, 138.10) μmmol/kg] levels was noted after 30-day Cana monotherapy (P < 0.05).…”

Genetic screen in haploid ESCs for PMP resistance identifies Anoikis modulators. by Giulio Di Minin (4768200)

“…<b>(B)</b> SAG and PMP decrease survival of ESCs treated for 48 hours with SΗΗ (50 to 500 ng/ml), SAG (0.5 to 5 μM), PMP (1 to 10 μM), Cyclopamine-KAAD (1 to 5 μM), and SANT-1 (10 to 50 μM). …”

DataSheet_2_Canagliflozin alters the gut, oral, and ocular surface microbiota of patients with type 2 diabetes mellitus.xls by Limin Wang (87511)

“…</p>Clinical parameters<p>A significant decrease in fasting plasma glucose (8.22 ± 2.19 vs 6.87 ± 1.09 mmol/L), glycated serum protein [291.00 (264.00, 353.00) vs 275.00 (251.00, 342.50) μmol/L], hemoglobin A1c (7.39 ± 1.18 vs 7.12 ± 1.33%), body mass index (25.32 ± 2.99 vs 24.83 ± 2.95 kg/m²), systolic blood pressure (129.05 ± 17.51 vs 123.43 ± 14.82 mmHg), and urinary creatinine [158.40 (74.75, 219.15) vs 79.70 (56.25, 138.10) μmmol/kg] levels was noted after 30-day Cana monotherapy (P < 0.05).…”

Summary of studies. by Zheng Jiang (282949)

“…About 61.5% of studies on the <i>5-HTTLPR</i> gene, 100% on the <i>MAOA</i> gene, 42.9% on the <i>DRD2</i> gene, 50% on the <i>DRD4</i> gene, 50% on the <i>DAT</i> gene, 80% on the <i>CRHR1</i> gene, 100% on the <i>OPRM1</i> gene, 100% on the <i>GABRA1</i> gene, and 50% on the <i>CHRNA</i> gene had a significant gene–environment interaction effect. …”

Social push model. by Zheng Jiang (282949)

“…About 61.5% of studies on the <i>5-HTTLPR</i> gene, 100% on the <i>MAOA</i> gene, 42.9% on the <i>DRD2</i> gene, 50% on the <i>DRD4</i> gene, 50% on the <i>DAT</i> gene, 80% on the <i>CRHR1</i> gene, 100% on the <i>OPRM1</i> gene, 100% on the <i>GABRA1</i> gene, and 50% on the <i>CHRNA</i> gene had a significant gene–environment interaction effect. …”

Basic demographics of the studies included. by Zheng Jiang (282949)

“…About 61.5% of studies on the <i>5-HTTLPR</i> gene, 100% on the <i>MAOA</i> gene, 42.9% on the <i>DRD2</i> gene, 50% on the <i>DRD4</i> gene, 50% on the <i>DAT</i> gene, 80% on the <i>CRHR1</i> gene, 100% on the <i>OPRM1</i> gene, 100% on the <i>GABRA1</i> gene, and 50% on the <i>CHRNA</i> gene had a significant gene–environment interaction effect. …”

Diathesis–stress model. by Zheng Jiang (282949)

“…About 61.5% of studies on the <i>5-HTTLPR</i> gene, 100% on the <i>MAOA</i> gene, 42.9% on the <i>DRD2</i> gene, 50% on the <i>DRD4</i> gene, 50% on the <i>DAT</i> gene, 80% on the <i>CRHR1</i> gene, 100% on the <i>OPRM1</i> gene, 100% on the <i>GABRA1</i> gene, and 50% on the <i>CHRNA</i> gene had a significant gene–environment interaction effect. …”

Differential susceptibility model. by Zheng Jiang (282949)

“…About 61.5% of studies on the <i>5-HTTLPR</i> gene, 100% on the <i>MAOA</i> gene, 42.9% on the <i>DRD2</i> gene, 50% on the <i>DRD4</i> gene, 50% on the <i>DAT</i> gene, 80% on the <i>CRHR1</i> gene, 100% on the <i>OPRM1</i> gene, 100% on the <i>GABRA1</i> gene, and 50% on the <i>CHRNA</i> gene had a significant gene–environment interaction effect. …”

Swing model. by Zheng Jiang (282949)

“…About 61.5% of studies on the <i>5-HTTLPR</i> gene, 100% on the <i>MAOA</i> gene, 42.9% on the <i>DRD2</i> gene, 50% on the <i>DRD4</i> gene, 50% on the <i>DAT</i> gene, 80% on the <i>CRHR1</i> gene, 100% on the <i>OPRM1</i> gene, 100% on the <i>GABRA1</i> gene, and 50% on the <i>CHRNA</i> gene had a significant gene–environment interaction effect. …”

Supplementary Material for: From childhood to adolescence: Long-term trends in severe obesity in German youth (2002–2023) by figshare admin karger (2628495)

“…As higher weight status persists into adulthood, we aimed to analyze long-term trends in the prevalence of SO in children and adolescents in Germany using a large real-world data set. …”