Data Sheet 1_Global, regional, and national burden of ischemic heart disease attributed to non-optimal temperature, 1990–2021: an age-period-cohort analysis of the global burden of... by Xiaoqing Xia (14607269)

“…Background<p>In recent years, non-optimal temperature has significantly impacted global health including ischemic heart disease (IHD).…”

Table 1_Mendelian randomization and bioinformatics unveil potential links between gut microbial genera and colorectal cancer.xlsx by Long Wu (655081)

“…Background<p>Colorectal cancer (CRC) poses a significant global health burden, with high incidence and mortality rates. …”

Table 4_Mendelian randomization and bioinformatics unveil potential links between gut microbial genera and colorectal cancer.xlsx by Long Wu (655081)

“…Background<p>Colorectal cancer (CRC) poses a significant global health burden, with high incidence and mortality rates. …”

Image 1_Assessment of microstructural abnormalities in gray and white matter of minimal hepatic encephalopathy patients using diffusion kurtosis imaging and their associations with... by Qing Sun (492552)

“…</p>Results<p>The TBSS analysis results showed that MHE patients had significantly decreased fractional anisotropy (FA) in the temporal part of the left superior longitudinal fasciculus and decreased kurtosis fractional anisotropy (KFA) in the left corticospinal tract and anterior thalamic radiation (p < 0.05, threshold-free cluster enhancement corrected). …”

Table 2_Mendelian randomization and bioinformatics unveil potential links between gut microbial genera and colorectal cancer.xlsx by Long Wu (655081)

“…Background<p>Colorectal cancer (CRC) poses a significant global health burden, with high incidence and mortality rates. …”

Table 3_Mendelian randomization and bioinformatics unveil potential links between gut microbial genera and colorectal cancer.xlsx by Long Wu (655081)

“…Background<p>Colorectal cancer (CRC) poses a significant global health burden, with high incidence and mortality rates. …”

Table 1_Prevalence and prognostic value of sarcopenia in patients with bladder cancer undergoing radical cystectomy: a systematic review and meta-analysis.docx by Lei Zhang (38117)

“…</p>Objectives<p>This study was conducted to systematically evaluate the prognostic significance of sarcopenia in patients with bladder cancer undergoing RC.…”

Data Sheet 1_Preoperative remote consultation for a green bariatric surgery: can telemedicine be safe for patients and sustainable for the environment?.pdf by Luigi Eduardo Conte (21669149)

“…CO₂ emissions were estimated based on the avoided travel, considering patient-reported transportation methods and distances. …”

Image 2_The clinical features and outcomes of diabetes patients infected with COVID-19: a systematic review and meta-analysis comprising 192,693 patients.tif by Kai Liu (159026)

“…We discovered that white blood cell count, neutrophil count, inflammatory marker levels, D-dimer, urea, precursor of the brain natriuretic peptide (Pro-BNP) increased and lymphocyte count, estimated glomerular filtration rate (eGFR), albumin decreased significantly in the diabetic group in laboratory test results. …”

Image 3_The clinical features and outcomes of diabetes patients infected with COVID-19: a systematic review and meta-analysis comprising 192,693 patients.tif by Kai Liu (159026)

“…We discovered that white blood cell count, neutrophil count, inflammatory marker levels, D-dimer, urea, precursor of the brain natriuretic peptide (Pro-BNP) increased and lymphocyte count, estimated glomerular filtration rate (eGFR), albumin decreased significantly in the diabetic group in laboratory test results. …”

Image 1_The clinical features and outcomes of diabetes patients infected with COVID-19: a systematic review and meta-analysis comprising 192,693 patients.tif by Kai Liu (159026)

“…We discovered that white blood cell count, neutrophil count, inflammatory marker levels, D-dimer, urea, precursor of the brain natriuretic peptide (Pro-BNP) increased and lymphocyte count, estimated glomerular filtration rate (eGFR), albumin decreased significantly in the diabetic group in laboratory test results. …”

Data Sheet 1_PitNET tissue deconvolution: tracing normal tissue residues and immune dynamics.pdf by Mattia Dalle Nogare (22696022)

“…However, its limited ability to resolve cellular heterogeneity – particularly in samples containing residual non-tumor pituitary cells – remains a significant challenge.</p>Objective<p>We developed and validated a tissue deconvolution framework using a reference dataset derived from single-nucleus RNA sequencing (snRNA-seq) of normal pituitary tissue, aimed at estimating cellular composition in PitNETs from bulk RNA-seq data and characterizing the tumor microenvironment (TME).…”

DataSheet4_Primary ovarian insufficiency consequence of autoimmune diseases: a bidirectional two-sample Mendelian randomization study.pdf by Yongming Du (807059)

“…Cochran Q test was used to evaluate SNP estimate heterogeneity. MR-Egger and MR-PRESSO methods were utilized to detect horizontal pleiotropy.…”

DataSheet7_Primary ovarian insufficiency consequence of autoimmune diseases: a bidirectional two-sample Mendelian randomization study.pdf by Yongming Du (807059)

“…Cochran Q test was used to evaluate SNP estimate heterogeneity. MR-Egger and MR-PRESSO methods were utilized to detect horizontal pleiotropy.…”

DataSheet9_Primary ovarian insufficiency consequence of autoimmune diseases: a bidirectional two-sample Mendelian randomization study.docx by Yongming Du (807059)

“…Cochran Q test was used to evaluate SNP estimate heterogeneity. MR-Egger and MR-PRESSO methods were utilized to detect horizontal pleiotropy.…”

Data Sheet 2_PitNET tissue deconvolution: tracing normal tissue residues and immune dynamics.pdf by Mattia Dalle Nogare (22696022)

“…However, its limited ability to resolve cellular heterogeneity – particularly in samples containing residual non-tumor pituitary cells – remains a significant challenge.</p>Objective<p>We developed and validated a tissue deconvolution framework using a reference dataset derived from single-nucleus RNA sequencing (snRNA-seq) of normal pituitary tissue, aimed at estimating cellular composition in PitNETs from bulk RNA-seq data and characterizing the tumor microenvironment (TME).…”

DataSheet6_Primary ovarian insufficiency consequence of autoimmune diseases: a bidirectional two-sample Mendelian randomization study.pdf by Yongming Du (807059)

“…Cochran Q test was used to evaluate SNP estimate heterogeneity. MR-Egger and MR-PRESSO methods were utilized to detect horizontal pleiotropy.…”

DataSheet1_Primary ovarian insufficiency consequence of autoimmune diseases: a bidirectional two-sample Mendelian randomization study.pdf by Yongming Du (807059)

“…Cochran Q test was used to evaluate SNP estimate heterogeneity. MR-Egger and MR-PRESSO methods were utilized to detect horizontal pleiotropy.…”

Table 2_PitNET tissue deconvolution: tracing normal tissue residues and immune dynamics.xlsx by Mattia Dalle Nogare (22696022)

“…However, its limited ability to resolve cellular heterogeneity – particularly in samples containing residual non-tumor pituitary cells – remains a significant challenge.</p>Objective<p>We developed and validated a tissue deconvolution framework using a reference dataset derived from single-nucleus RNA sequencing (snRNA-seq) of normal pituitary tissue, aimed at estimating cellular composition in PitNETs from bulk RNA-seq data and characterizing the tumor microenvironment (TME).…”

Table 1_PitNET tissue deconvolution: tracing normal tissue residues and immune dynamics.xlsx by Mattia Dalle Nogare (22696022)

“…However, its limited ability to resolve cellular heterogeneity – particularly in samples containing residual non-tumor pituitary cells – remains a significant challenge.</p>Objective<p>We developed and validated a tissue deconvolution framework using a reference dataset derived from single-nucleus RNA sequencing (snRNA-seq) of normal pituitary tissue, aimed at estimating cellular composition in PitNETs from bulk RNA-seq data and characterizing the tumor microenvironment (TME).…”