Table 2_The global burden of pediatric infective endocarditis (5–14 years): epidemiological patterns from 1990 to 2021 and projected trajectories.pdf by Ying Xiao (6517)

“…</p>Results<p>Globally, the incidence of pediatric IE declined by 27.6% (95% UI, −30.9% to −24.9%) and mortality by 21.4% (95% UI, −35.2% to −0.8%) between 1990 and 2021, with an estimated annual percentage change (EAPC) of −1.37% (95% CI, −1.49% to −1.24%) and −0.64% (95% CI, −0.75% to −0.54%), respectively. DALYs decreased by 19.2% (95% UI, −33.2% to 1.9%). Marked disparities persisted, with high-SDI regions, notably China, achieving the greatest reductions in burden, while sub-Saharan Africa and Eastern Europe exhibited stagnant or increasing rates. …”

Table 1_The global burden of pediatric infective endocarditis (5–14 years): epidemiological patterns from 1990 to 2021 and projected trajectories.pdf by Ying Xiao (6517)

“…</p>Results<p>Globally, the incidence of pediatric IE declined by 27.6% (95% UI, −30.9% to −24.9%) and mortality by 21.4% (95% UI, −35.2% to −0.8%) between 1990 and 2021, with an estimated annual percentage change (EAPC) of −1.37% (95% CI, −1.49% to −1.24%) and −0.64% (95% CI, −0.75% to −0.54%), respectively. DALYs decreased by 19.2% (95% UI, −33.2% to 1.9%). Marked disparities persisted, with high-SDI regions, notably China, achieving the greatest reductions in burden, while sub-Saharan Africa and Eastern Europe exhibited stagnant or increasing rates. …”

Table 3_The global burden of pediatric infective endocarditis (5–14 years): epidemiological patterns from 1990 to 2021 and projected trajectories.pdf by Ying Xiao (6517)

“…</p>Results<p>Globally, the incidence of pediatric IE declined by 27.6% (95% UI, −30.9% to −24.9%) and mortality by 21.4% (95% UI, −35.2% to −0.8%) between 1990 and 2021, with an estimated annual percentage change (EAPC) of −1.37% (95% CI, −1.49% to −1.24%) and −0.64% (95% CI, −0.75% to −0.54%), respectively. DALYs decreased by 19.2% (95% UI, −33.2% to 1.9%). Marked disparities persisted, with high-SDI regions, notably China, achieving the greatest reductions in burden, while sub-Saharan Africa and Eastern Europe exhibited stagnant or increasing rates. …”

Table 1_The impact of comorbidities on surgical outcome and mortality in minimally invasive mitral valve surgery: a systematic review.docx by Vanessa I. T. Zwaans (22163257)

“…Left atrial (LA) diameter decreased significantly from 50.37 mm preoperatively to 40.41%mm postoperatively (p < 0.001), LVDD was significantly reduced after MIMVS (p < 0.001). …”

Table 1_Characterization of glycogen-related glycoside hydrolase glgX and glgB from Klebsiella pneumoniae and their roles in biofilm formation and virulence.docx by Xinyue Liu (170148)

“…We found that both enzymes exhibited significant degradation activity against glycogen substrates and were capable of degrading amylopectin, amylose, and pullulan. …”

Image 1_The contribution of BTK signaling in myeloid cells to neuroinflammation.jpeg by Claudia Bassani (7235849)

“…Therapeutic intervention with evobrutinib ameliorated EAE severity and was associated with a significant modest decrease in the frequency of CNS-infiltrating proinflammatory macrophages. …”

Altering rRNA 2’O-methylation pattern during neuronal differentiation is regulated by FMRP by Michelle Ninochka D’Souza (22365912)

“…We found that FMRP influences a distinct rRNA 2’O-Methylation pattern across neuronal differentiation. …”

Data Sheet 1_Metabolomics analysis of aqueous humor from patients with high-myopia complicated nuclear cataract.pdf by Qiuyi Huo (21398225)

“…</p>Conclusion<p>This work identified valuable metabolic biomarkers and pathways that may improve understanding HMnC pathogenesis. Here, we found that a decrease in glutathione might promote the occurrence of HMnC. …”

Data Sheet 2_Metabolomics analysis of aqueous humor from patients with high-myopia complicated nuclear cataract.pdf by Qiuyi Huo (21398225)

“…</p>Conclusion<p>This work identified valuable metabolic biomarkers and pathways that may improve understanding HMnC pathogenesis. Here, we found that a decrease in glutathione might promote the occurrence of HMnC. …”

Table 2_Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.xlsx by Chao-Chao Chen (21090215)

“…The SUVRs were calculated using the standard methodology, where the mean standardized uptake value (SUV) of each region of interest (ROI) was divided by the mean SUV of the reference region, that is the whole cerebellum. …”

Image 3_Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.tiff by Chao-Chao Chen (21090215)

“…The SUVRs were calculated using the standard methodology, where the mean standardized uptake value (SUV) of each region of interest (ROI) was divided by the mean SUV of the reference region, that is the whole cerebellum. …”

Table 1_Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.xlsx by Chao-Chao Chen (21090215)

“…The SUVRs were calculated using the standard methodology, where the mean standardized uptake value (SUV) of each region of interest (ROI) was divided by the mean SUV of the reference region, that is the whole cerebellum. …”

Image 2_Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.tiff by Chao-Chao Chen (21090215)

“…The SUVRs were calculated using the standard methodology, where the mean standardized uptake value (SUV) of each region of interest (ROI) was divided by the mean SUV of the reference region, that is the whole cerebellum. …”

Table 3_Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.xlsx by Chao-Chao Chen (21090215)

“…The SUVRs were calculated using the standard methodology, where the mean standardized uptake value (SUV) of each region of interest (ROI) was divided by the mean SUV of the reference region, that is the whole cerebellum. …”

Image 1_Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.tiff by Chao-Chao Chen (21090215)

“…The SUVRs were calculated using the standard methodology, where the mean standardized uptake value (SUV) of each region of interest (ROI) was divided by the mean SUV of the reference region, that is the whole cerebellum. …”

Image 8_Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.tif by Chao-Chao Chen (21090215)

“…The SUVRs were calculated using the standard methodology, where the mean standardized uptake value (SUV) of each region of interest (ROI) was divided by the mean SUV of the reference region, that is the whole cerebellum. …”

Image 6_Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.tiff by Chao-Chao Chen (21090215)

“…The SUVRs were calculated using the standard methodology, where the mean standardized uptake value (SUV) of each region of interest (ROI) was divided by the mean SUV of the reference region, that is the whole cerebellum. …”

Image 4_Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.tif by Chao-Chao Chen (21090215)

“…The SUVRs were calculated using the standard methodology, where the mean standardized uptake value (SUV) of each region of interest (ROI) was divided by the mean SUV of the reference region, that is the whole cerebellum. …”

Image 7_Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.tiff by Chao-Chao Chen (21090215)

“…The SUVRs were calculated using the standard methodology, where the mean standardized uptake value (SUV) of each region of interest (ROI) was divided by the mean SUV of the reference region, that is the whole cerebellum. …”

Image 5_Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.tiff by Chao-Chao Chen (21090215)

“…The SUVRs were calculated using the standard methodology, where the mean standardized uptake value (SUV) of each region of interest (ROI) was divided by the mean SUV of the reference region, that is the whole cerebellum. …”