Image_4_Alterations of Gut Microbiome and Metabolite Profiles Associated With Anabatic Lipid Dysmetabolism in Thyroid Cancer.tif by Ganghua Lu (12750878)

“…</p>Methods<p>16S rRNA gene sequencing and an integrated LC–MS-based metabolomics approach were performed to obtain the components and characteristics of fecal microbiota and metabolites from 50 patients with TC and 58 healthy controls (HCs).…”

Image_2_Alterations of Gut Microbiome and Metabolite Profiles Associated With Anabatic Lipid Dysmetabolism in Thyroid Cancer.tif by Ganghua Lu (12750878)

“…</p>Methods<p>16S rRNA gene sequencing and an integrated LC–MS-based metabolomics approach were performed to obtain the components and characteristics of fecal microbiota and metabolites from 50 patients with TC and 58 healthy controls (HCs).…”

Table_1_Alterations of Gut Microbiome and Metabolite Profiles Associated With Anabatic Lipid Dysmetabolism in Thyroid Cancer.docx by Ganghua Lu (12750878)

“…</p>Methods<p>16S rRNA gene sequencing and an integrated LC–MS-based metabolomics approach were performed to obtain the components and characteristics of fecal microbiota and metabolites from 50 patients with TC and 58 healthy controls (HCs).…”

DataSheet_1_Alterations of Gut Microbiome and Metabolite Profiles Associated With Anabatic Lipid Dysmetabolism in Thyroid Cancer.xls by Ganghua Lu (12750878)

“…</p>Methods<p>16S rRNA gene sequencing and an integrated LC–MS-based metabolomics approach were performed to obtain the components and characteristics of fecal microbiota and metabolites from 50 patients with TC and 58 healthy controls (HCs).…”

Image_3_Alterations of Gut Microbiome and Metabolite Profiles Associated With Anabatic Lipid Dysmetabolism in Thyroid Cancer.tif by Ganghua Lu (12750878)

“…</p>Methods<p>16S rRNA gene sequencing and an integrated LC–MS-based metabolomics approach were performed to obtain the components and characteristics of fecal microbiota and metabolites from 50 patients with TC and 58 healthy controls (HCs).…”

Image_1_Alterations of Gut Microbiome and Metabolite Profiles Associated With Anabatic Lipid Dysmetabolism in Thyroid Cancer.tif by Ganghua Lu (12750878)

“…</p>Methods<p>16S rRNA gene sequencing and an integrated LC–MS-based metabolomics approach were performed to obtain the components and characteristics of fecal microbiota and metabolites from 50 patients with TC and 58 healthy controls (HCs).…”

Results. by Tae-Ho Lee (177564)

“…A context effect score below zero indicates a decrease in the threshold value, and a context effect score above zero indicates an increase in the threshold value.…”

Venezuela by Carlos Garcia Soto (17379262)

Table_2_Effects of Variability in Glycemic Indices on Longevity in Chinese Centenarians.pdf by Sheng-han Ji (13018722)

“…Logistic regression was used to analyze the association between glycemic variability and longevity.</p>Results<p>Mean blood glucose (MBG), eHbA1c, GMI, mean fasting plasma glucose (M-FPG) and CONGA were lower in the centenarian group (p all < 0.05). …”

Table_1_Effects of Variability in Glycemic Indices on Longevity in Chinese Centenarians.pdf by Sheng-han Ji (13018722)

“…Logistic regression was used to analyze the association between glycemic variability and longevity.</p>Results<p>Mean blood glucose (MBG), eHbA1c, GMI, mean fasting plasma glucose (M-FPG) and CONGA were lower in the centenarian group (p all < 0.05). …”

Table_3_Effects of Variability in Glycemic Indices on Longevity in Chinese Centenarians.pdf by Sheng-han Ji (13018722)

“…Logistic regression was used to analyze the association between glycemic variability and longevity.</p>Results<p>Mean blood glucose (MBG), eHbA1c, GMI, mean fasting plasma glucose (M-FPG) and CONGA were lower in the centenarian group (p all < 0.05). …”

Effect of acupuncture on intraocular pressure and tear production in healthy horses by Thiene de Lima Rodrigues (12652431)

“…Meanwhile, IOP decreased in 50% of the animals at T5 and T30, in 20% at T15, in 60% at T60, and in 70% at T24. …”

Bacterial lysis. by Muhammad Yasir (3555896)

Generating human striatal organoids. by Xinyu Chen (47670)

“…Data, mean ± SD. One-way ANOVA. *, <i>P</i> < 0.05. Scale bar, 50 μm. …”

How many sightings to model rare marine species distributions by Auriane Virgili (4952143)

“…Generalised additive models (GAMs) with three different residual distributions and the presence only model MaxEnt were tested on two megafauna case studies differing in both the number of sightings and ecological niches. From a dolphin (277 sightings) and an auk (1,455 sightings) datasets, we simulated rarity with a sighting thinning protocol by random sampling (without replacement) of a decreasing fraction of sightings. …”

Optimization of harvest preferences. by Alex Potapov (811655)

Clinical and epidemiological study in patients with primary open-angle glaucoma by Luciana dos Mares Guia Ribeiro (4985879)

“…We used statistical analysis, and the results are presented by mean, standard deviation and percentiles 25, 50 and 75. …”

Detection of glycan-dependent HIV-1 neutralizing antibodies in sera from LTNPs and typical progressors. by Nuria González (4532422)

“…Percent serum neutralizing activity sensitive to the indicated residue replacement was calculated using the equation [1 − (ID50 mutant/ID50 wild type)] x 100. A sample is considered positive if there is a decrease in ID50 greater than or equal to 50% for the mutant relative to the wild-type virus. …”

Dosage effects of reserpine on grooming. by John M. Tauber (198488)

“…<p>(<b>A</b>). Grooming activity of 15 day-old flies grown as larvae and maintained as adults on food containing no drug, 10, 30, or 50 µM reserpine (15 and 20 µM are omitted from figure). …”

<i>Nacα</i> and <i>Hox</i> genes interact to redirect differentiation of Multipotent Cardiac Progenitors (MCPs). by Analyne M. Schroeder (13961877)