Forest plot for the significant MR association between four mediators and anti-H. pylori IgG seropositivity. by Jing Wang (6206297)

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Analysis of the significantly different metabolomic features. by Bhuripit Saraphol (20855573)

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Percent Decrease in FGM between Oldest (45-49 years) and Youngest (15-19 years) Cohorts of Women over the years in Egypt. by Shatha Elnakib (8901764)

Decreased synthesis of VCAM-1, tubulin and dynein proteins in the heart of mice stimulated with EVs (green) or ICs (blue). by Alberto Cornet-Gomez (10676133)

“…The values represent the mean ± SEM, with significance set at p < 0.05 (*).</p>…”

EGFR/ERK signaling activity decreases throughout LEC elimination with endocytic activity dependency. by Kevin Yuswan (19845885)

<b>Addition root exudates increase microbial biomass but decreases diversity and richness.</b> by Xiaochong Zhang (21179348)

Prohibitin2 knockdown decreases glioma malignant phenotypes and radio-resistance by inhibiting mitophagy by Xuefei Xue (16496943)

“…</p> <p>The expression of PHB2 was significantly upregulated in glioma cells and closely correlated with the malignant degree of glioma. …”

Brain regions with significantly decreased activations for the Raven task are shown in blue. by Morteza Fattahi (15892028)

Data Sheet 1_Decreased brain-derived neurotrophic factor expression in chronic kidney disease: integrated clinical and experimental evidence.docx by Juan Chen (61123)

“…</p>Conclusion<p>This study integrated meta-analysis, murine model validation, and single-cell transcriptomic profiling to demonstrate a significant reduction of BDNF in CKD. Furthermore, renal BDNF expression decreased locally, predominantly originating from proximal tubule cells, macrophages, and podocytes, possibly epigenetically inhibited by the upregulation of lnc RNA Bdnf-as.…”

<i>Porphyromonas gingivalis</i> LPS pretreated by ozone ultrafine bubble water induces decreased TLR2 activation. by Mana Endo (22430706)

eQTL analysis of significant SNPs. by Dai Nogimura (21445649)

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Significant associations in the candidate gene approach. by Dai Nogimura (21445649)

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Correlations between significantly different microbiota and metabolites. by Bhuripit Saraphol (20855573)

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Intracellular retention, but not shedding of NKp65 molecules containing threonine at amino acid position 131 causes decreased surface expression. by Julian Leonard Lino Heller (22049674)

A) RT-qPCR analysis of <i>Yap</i>, <i>Taz</i>, and <i>Tead2</i> shows a significant decrease in transcript levels over postnatal stages from P0 to P28. by Heather L. Dingwall (14573796)

Introgression decreases allelic shuffling. by Enrique J. Schwarzkopf (6579275)

Enrichment analysis of genes from the significant MS module. by Lai Jiang (2401513)

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Data from: Colony losses of stingless bees increase in agricultural areas, but decrease in forested areas by Malena Sibaja Leyton (18400983)

“…</p><p><br></p><p dir="ltr">#METADATA</p><p dir="ltr">#'data.frame': 472 obs. of 28 variables:</p><p dir="ltr"> #$ ID: Factor variable; a unique identity for the response to the survey</p><p dir="ltr"> #$ Year: Factor variable; six factors available (2016, 2017, 2018, 2019, 2020, 2021) representing the year for the response to the survey</p><p dir="ltr"> #$ N_dead_annual: Numeric variable; representing the number of colonies annually lost</p><p dir="ltr">#$ N_alive_annual: Numeric variable; representing the number of colonies annually alive</p><p dir="ltr"> #$ N_dead_dry: Numeric variable; representing the number of colonies lost during the dry season</p><p dir="ltr">#$ N_alive_dry: Numeric variable; representing the number of colonies alive during the dry season</p><p dir="ltr"> #$ N_dead_rainy: Numeric variable; representing the number of colonies lost during the rainy season</p><p dir="ltr">#$ N_alive_rainy: Numeric variable; representing the number of colonies alive during the rainy season</p><p dir="ltr"> #$ Education: Factor variable; four factors are available ("Self-taught","Learned from another melip","Intro training","Formal tech training"), representing the training level in meliponiculture</p><p dir="ltr"> #$ Operation_Size: Numeric variable; representing the number of colonies managed by the participant (in n)</p><p dir="ltr"> #$ propAgri: Numeric variable; representing the percentage of agricultural area surrounding the meliponary (in %)</p><p dir="ltr"> #$ propForest: Numeric variable; representing the percentage of forested area surrounding the meliponary (in %)</p><p dir="ltr">#$ temp.avg_annual: Numeric variable; representing the average annual temperature (in ºC)</p><p dir="ltr">#$ precip_annual_sum: Numeric variable; representing the total accumulated precipitation (in mm)</p><p dir="ltr">#$ precip_Oct_March_sum: Numeric variable; representing the total accumulated precipitation between October to March (in mm)</p><p dir="ltr">#$ precip_Apri_Sept_sum: Numeric variable; representing the total accumulated precipitation between April to September (in mm)</p><p dir="ltr">#$ temp.avg_Oct_March: Numeric variable; representing the total accumulated precipitation between October to March (in ºC)</p><p dir="ltr">#$ temp.avg_Apri_Sept: Numeric variable; representing the total accumulated precipitation between April to September (in ºC)</p><p dir="ltr"> #$ Importance_dead: Factor variable; three factors are available Normal","High","Very high"), representing the perception of the significance of annual colony losses</p><p dir="ltr"> #$ Climatic_environmental: Binary variable; representing if the participant considered climatic and environmental problems as a potential driver (1) or not (0) of their annual colony losses</p><p dir="ltr"> #$ Contamination: Binary variable; representing if the participant considered contamination problems as a potential driver (1) or not (0) of their annual colony losses</p><p dir="ltr"> #$ Nutritional: Binary variable; representing if the participant considered nutritional problems as a potential driver (1) or not (0) of their annual colony losses</p><p dir="ltr">#$ Sanitary: Binary variable; representing if the participant considered sanitary problems as a potential driver (1) or not (0) of their annual colony losses</p><p dir="ltr">#$ Queen: Binary variable; representing if the participant considered queen problems as a potential driver (1) or not (0) of their annual colony losses</p><p dir="ltr">#$ Time: Binary variable; representing if the participant considered time problems as a potential driver (1) or not (0) of their annual colony losses</p><p dir="ltr">#$ Economic: Binary variable; representing if the participant considered economic problems as a potential driver (1) or not (0) of their annual colony losses</p><p dir="ltr">#$ Attacks: Binary variable; representing if the participant considered time attacks as a potential driver (1) or not (0) of their annual colony losses</p><p dir="ltr">#$ Swarming: Binary variable; representing if the participant considered swarming problems as a potential driver (1) or not (0) of their annual colony losses</p><p><br></p>…”

Tax1bp1-deficiency decreases the frequency of microabscess formation and lymphocyte depletion during <i>L. monocytogenes</i> infection. by Jeffrey Chin (22538086)

Arctigenin decreased proliferation in colorectal cancer cells with no significant effect on normal cells. by Xiang-Fan Chen (13932983)