Image_3_A Comprehensive Analysis of the Association Between SNCA Polymorphisms and the Risk of Parkinson's Disease.PDF by Yuan Zhang (41832)

“…</p><p>Methods: Standard meta-analysis was conducted according to our protocol with a cutoff point of p < 0.05. To find the most relevant SNCA SNPs, we used a cutoff point of p < 1 × 10⁻⁵ in an analysis based on the allele model. …”

Image_5_A Comprehensive Analysis of the Association Between SNCA Polymorphisms and the Risk of Parkinson's Disease.PDF by Yuan Zhang (41832)

“…</p><p>Methods: Standard meta-analysis was conducted according to our protocol with a cutoff point of p < 0.05. To find the most relevant SNCA SNPs, we used a cutoff point of p < 1 × 10⁻⁵ in an analysis based on the allele model. …”

Image_1_A Comprehensive Analysis of the Association Between SNCA Polymorphisms and the Risk of Parkinson's Disease.PDF by Yuan Zhang (41832)

“…</p><p>Methods: Standard meta-analysis was conducted according to our protocol with a cutoff point of p < 0.05. To find the most relevant SNCA SNPs, we used a cutoff point of p < 1 × 10⁻⁵ in an analysis based on the allele model. …”

Image_6_A Comprehensive Analysis of the Association Between SNCA Polymorphisms and the Risk of Parkinson's Disease.PDF by Yuan Zhang (41832)

“…</p><p>Methods: Standard meta-analysis was conducted according to our protocol with a cutoff point of p < 0.05. To find the most relevant SNCA SNPs, we used a cutoff point of p < 1 × 10⁻⁵ in an analysis based on the allele model. …”

Table_2_A Comprehensive Analysis of the Association Between SNCA Polymorphisms and the Risk of Parkinson's Disease.DOCX by Yuan Zhang (41832)

“…</p><p>Methods: Standard meta-analysis was conducted according to our protocol with a cutoff point of p < 0.05. To find the most relevant SNCA SNPs, we used a cutoff point of p < 1 × 10⁻⁵ in an analysis based on the allele model. …”

Image_2_A Comprehensive Analysis of the Association Between SNCA Polymorphisms and the Risk of Parkinson's Disease.PDF by Yuan Zhang (41832)

“…</p><p>Methods: Standard meta-analysis was conducted according to our protocol with a cutoff point of p < 0.05. To find the most relevant SNCA SNPs, we used a cutoff point of p < 1 × 10⁻⁵ in an analysis based on the allele model. …”

Table_1_A Comprehensive Analysis of the Association Between SNCA Polymorphisms and the Risk of Parkinson's Disease.DOCX by Yuan Zhang (41832)

“…</p><p>Methods: Standard meta-analysis was conducted according to our protocol with a cutoff point of p < 0.05. To find the most relevant SNCA SNPs, we used a cutoff point of p < 1 × 10⁻⁵ in an analysis based on the allele model. …”

Effect of PUFA when the steady-state activation and inactivation of K_A is equally modulated. by Jenny Tigerholm (305475)

“…(B) Spike activity for the functionally corrected model of the decreased K_A current pathology model. To functionally correct the two pathologies the steady-state activation and inactivation curves of K_A were shifted −3.2 mV (increased Na current pathology) and −11 mV (decreased K_A current pathology). …”

Development of immune factors over visits in the persistent and resolved CMA group as (A) scores and (B) loadings. by Diana M. Hendrickx (1507435)

“…A negative loading means that the NPX value of the immune factor decreases when the scores increase.…”

Schematic illustration of RhoA/ROCK/NFATc3 pathway contributing to endothelial dysfunction induced by CIH. by Jie-Ru Li (5089316)

“…<p>CIH increased RhoA, ROCK and NFATc3 protein expression in aortas, and decreased p-eNOS protein expression, which lead to endothelial dysfunction. …”

Changes in h-alb levels and body weight of chimeric mice during a long-term period. by Chise Tateno (395774)

“…<p>14-week-old chimeric mice with >70% RI were selected based on h-alb levels and observed until they were 28 or 29 weeks old. (A) After 16 weeks of age, h-alb levels in uPA/SCID chimeric mice gradually decreased, whereas those of #1C2 homozygous chimeric mice stabilized, but those of #1C2 hemizygous chimeric mice increased gradually until mice were at least 28 weeks old. …”

The mRNA and protein expression of PLK4 in HCC by qRT-PCR and western blot. A. by Lili Liu (111724)

Image_3_Dynamic changes of fecal microbiota in a weight-change model of Bama minipigs.TIF by Bo Zeng (428742)

“…</p>Results<p>During the weight gain period (1~27 week), the alpha diversity of fecal microbiota exhibited a “down-up-down” fluctuations, initially decreasing, recovering in the mid-term, and decreasing again in the later stage. …”

Fluorescence Linked Enzyme Chemoproteomic Strategy for Discovery of a Potent and Selective DAPK1 and ZIPK Inhibitor by David A. Carlson (1867249)

“…In cellular studies, HS38 decreased RLC20 phosphorylation. In <i>ex vivo</i> studies, HS38 decreased contractile force generated in mouse aorta, rabbit ileum, and calyculin A stimulated arterial muscle by decreasing RLC20 and MYPT1 phosphorylation. …”

MTM induces a dose-dependent increase of the percentage of cells in G0/G1 phase. by Eléonore Otjacques (410361)

“…A decreased percentage of cells in the S phase was also observed (56% versus 49% and 32% for the 200 nM and 400 nM conditions, respectively) (p<0,01). …”

Table_1_Dynamic changes of fecal microbiota in a weight-change model of Bama minipigs.XLSX by Bo Zeng (428742)

“…</p>Results<p>During the weight gain period (1~27 week), the alpha diversity of fecal microbiota exhibited a “down-up-down” fluctuations, initially decreasing, recovering in the mid-term, and decreasing again in the later stage. …”

Table 1_Elderly stroke burden: a comprehensive global study over three decades.docx by Ruoyu Gou (11835929)

“…</p>Conclusion<p>The number of stroke cases, deaths and DALYs increased in the elderly, while the global incidence, mortality and mortality rates of stroke decreased, with a higher burden on older men than women.…”

Table_1_Gut Microbiota Dysbiosis in Human Hypertension: A Systematic Review of Observational Studies.docx by Yang Guo (399435)

“…PROSPERO registration number: CRD42020212219.</p><p>Results: A total of 17 studies enrolling 9,085 participants were included. …”

Table_5_Dynamic changes of fecal microbiota in a weight-change model of Bama minipigs.XLSX by Bo Zeng (428742)

“…</p>Results<p>During the weight gain period (1~27 week), the alpha diversity of fecal microbiota exhibited a “down-up-down” fluctuations, initially decreasing, recovering in the mid-term, and decreasing again in the later stage. …”

Table_3_Dynamic changes of fecal microbiota in a weight-change model of Bama minipigs.XLSX by Bo Zeng (428742)

“…</p>Results<p>During the weight gain period (1~27 week), the alpha diversity of fecal microbiota exhibited a “down-up-down” fluctuations, initially decreasing, recovering in the mid-term, and decreasing again in the later stage. …”