Image 4_Age- and sex-specific reference intervals for trace elements in infants and children: a multi-center study in Lincang, China.jpg by Junqiang Li (491954)

“…After gradually decreasing with months, blood pb levels in boys and girls tended to peak at 15 years and beyond. …”

Table 1_Age- and sex-specific reference intervals for trace elements in infants and children: a multi-center study in Lincang, China.docx by Junqiang Li (491954)

“…After gradually decreasing with months, blood pb levels in boys and girls tended to peak at 15 years and beyond. …”

Image 6_Age- and sex-specific reference intervals for trace elements in infants and children: a multi-center study in Lincang, China.jpg by Junqiang Li (491954)

“…After gradually decreasing with months, blood pb levels in boys and girls tended to peak at 15 years and beyond. …”

Data Sheet 1_The association of healthy eating index score and n-3 fatty acid intake with cardiovascular diseases incidence and lipid biomarkers in Alberta’s tomorrow project cohor... by Reihane Taheri (14188808)

“…Adjusted multivariate regression in a subset (n = 8,458) showed no association between n-3 FA (g/d) intake and lipid biomarkers but a significant inverse association between HEI score and non-fasting RC [coefficient: −0.006 (95%CI −0.009–−0.003) for females and −0.01 (95%CI −0.018–−0.005) for males], and TG levels [−0.01 (95%CI −0.015–−0.006) for females and −0.01 (95%CI −0.02–−0.006) for males].…”

DataSheet1_Profiling of the serum MiRNAome in pediatric egyptian patients with wilms tumor.PDF by Fatma S. Mohamed (19850220)

“…In relation to WT clinicopathological features, decreased levels of hsa-miR-2355-3p showed a significant positive correlation with clinical stage (r = 0.6597, p = 0.0006) and WT metastasis (r = 0.439, p = 0.021). …”

Supplementary file 1_Toxicity evaluation of laser-synthesized pro-angiogenic carbon monoxide-rich gold nanoparticles in vitro and in vivo.docx by Thais Braga Gomes Araujo (22686905)

“…However, reduced glutathione levels decreased significantly in the brain at concentrations between 10 and 35 μg.L⁻¹, likely due to the interaction with the metallic surface of the nanoparticles, while in the liver they increased significantly following exposure to COR-AuNPs at concentrations between 20 and 75 μg.L⁻¹. …”

Dynamine 3 as a diagnostic and prognostic biomarker in pancreatic cancer: Implications for early detection and targeted therapy by Fatih Yay (20606054)

“…High levels of DNM3 gene expression were associated with longer OS in PAAD. …”

Table 1_Cell-free supernatant of Levilactobacillus brevis (RAMULAB51) from coconut inflorescence sap (Neera) enhances glucose uptake and PPAR-γ in 3T3-L1 adipocytes and inhibits α-... by Chandana Kumari V B (17543976)

“…By inhibiting these digestive enzymes, RAMULAB51 reduces the conversion of carbohydrates into glucose, thereby decreasing blood glucose levels. This reduction in circulating glucose subsequently influences adipocyte function, as evidenced by the enhanced glucose uptake (1000 µg/mL) and upregulation of PPAR-γ, C/EBPα, Adiponectin, and Glut-4, alongside the downregulation of FAS.…”

Supplementary Material for: Impact of Ketogenic Diet on Weight, Metabolic, and Endocrine Parameters in Women with Polycystic Ovary Syndrome: A Systematic Review and Meta-Analysis by figshare admin karger (2628495)

“…Moreover, LH concentrations were significantly reduced (SMD 1.12 ng/dL [0.39, 1.84] p=0.003), FSH levels raised (SMD -0.76 ng/dL [-1.25, -0.28], p=0.002), the LH/FSH ratio decreased (SMD 2.04 (95% CI 1.04-3.03, p<0.001); testosterone decreased (free-T SMD 0.57 ng/dL [95% CI 0.28, 0.86], p<0.001; total-T SMD 0.54 ng/dL, 95% CI 0.28, 0.80, p<0.001), and SHBG levels were significantly increased (SMD 0.79, 95% CI [1.24-0.34],p<0.001). …”

Data Sheet 1_Lipopolysaccharide affects metabolic processes and energy homeostasis in the corpus luteum.xlsx by Karol Mierzejewski (20393026)

“…Moreover, we demonstrated that LPS decreases glucose levels and increases progesterone levels in the CL.…”

Image 2_The association between fluid balance trajectories and prognosis in ICU patients with cardiac arrest, a group-based trajectory model analysis.tiff by Qitian Zhang (19791372)

“…Four distinct FB trajectory patterns were identified, Trajectory 1 (rapid transition to negative balance), Trajectory 2 (stable balance), Trajectory 3 (positive balance gradually decreasing), and Trajectory 4 (decreasing at a high level). …”

Table 1_The association between fluid balance trajectories and prognosis in ICU patients with cardiac arrest, a group-based trajectory model analysis.xlsx by Qitian Zhang (19791372)

“…Four distinct FB trajectory patterns were identified, Trajectory 1 (rapid transition to negative balance), Trajectory 2 (stable balance), Trajectory 3 (positive balance gradually decreasing), and Trajectory 4 (decreasing at a high level). …”

Image 1_The association between fluid balance trajectories and prognosis in ICU patients with cardiac arrest, a group-based trajectory model analysis.tiff by Qitian Zhang (19791372)

“…Four distinct FB trajectory patterns were identified, Trajectory 1 (rapid transition to negative balance), Trajectory 2 (stable balance), Trajectory 3 (positive balance gradually decreasing), and Trajectory 4 (decreasing at a high level). …”

Image 4_The association between fluid balance trajectories and prognosis in ICU patients with cardiac arrest, a group-based trajectory model analysis.tiff by Qitian Zhang (19791372)

“…Four distinct FB trajectory patterns were identified, Trajectory 1 (rapid transition to negative balance), Trajectory 2 (stable balance), Trajectory 3 (positive balance gradually decreasing), and Trajectory 4 (decreasing at a high level). …”

Image 5_The association between fluid balance trajectories and prognosis in ICU patients with cardiac arrest, a group-based trajectory model analysis.tif by Qitian Zhang (19791372)

“…Four distinct FB trajectory patterns were identified, Trajectory 1 (rapid transition to negative balance), Trajectory 2 (stable balance), Trajectory 3 (positive balance gradually decreasing), and Trajectory 4 (decreasing at a high level). …”

Image 3_The association between fluid balance trajectories and prognosis in ICU patients with cardiac arrest, a group-based trajectory model analysis.tiff by Qitian Zhang (19791372)

“…Four distinct FB trajectory patterns were identified, Trajectory 1 (rapid transition to negative balance), Trajectory 2 (stable balance), Trajectory 3 (positive balance gradually decreasing), and Trajectory 4 (decreasing at a high level). …”

Image 3_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.tif by Bin He (75597)

“…These subtypes exhibited significantly different distributions between AF and SR. …”

Table 3_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.xlsx by Bin He (75597)

“…These subtypes exhibited significantly different distributions between AF and SR. …”

Table 8_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.xlsx by Bin He (75597)

“…These subtypes exhibited significantly different distributions between AF and SR. …”

Table 2_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.xlsx by Bin He (75597)

“…These subtypes exhibited significantly different distributions between AF and SR. …”