Table9_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…</p>Conclusions<p>Our bioinformatics combined with MR analysis revealed that CD93, CYBB, DOCK8, IRF1, MBOAT1, MYO1F, NLRP1, NOD2, PIK3R1 increase the risk of PCOS, while PTER decreases the risk of PCOS. …”

Image1_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.tif by Yifang He (18126257)

“…</p>Conclusions<p>Our bioinformatics combined with MR analysis revealed that CD93, CYBB, DOCK8, IRF1, MBOAT1, MYO1F, NLRP1, NOD2, PIK3R1 increase the risk of PCOS, while PTER decreases the risk of PCOS. …”

Table7_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…</p>Conclusions<p>Our bioinformatics combined with MR analysis revealed that CD93, CYBB, DOCK8, IRF1, MBOAT1, MYO1F, NLRP1, NOD2, PIK3R1 increase the risk of PCOS, while PTER decreases the risk of PCOS. …”

Table6_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…</p>Conclusions<p>Our bioinformatics combined with MR analysis revealed that CD93, CYBB, DOCK8, IRF1, MBOAT1, MYO1F, NLRP1, NOD2, PIK3R1 increase the risk of PCOS, while PTER decreases the risk of PCOS. …”

Table11_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…</p>Conclusions<p>Our bioinformatics combined with MR analysis revealed that CD93, CYBB, DOCK8, IRF1, MBOAT1, MYO1F, NLRP1, NOD2, PIK3R1 increase the risk of PCOS, while PTER decreases the risk of PCOS. …”

Table8_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…</p>Conclusions<p>Our bioinformatics combined with MR analysis revealed that CD93, CYBB, DOCK8, IRF1, MBOAT1, MYO1F, NLRP1, NOD2, PIK3R1 increase the risk of PCOS, while PTER decreases the risk of PCOS. …”

Table5_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…</p>Conclusions<p>Our bioinformatics combined with MR analysis revealed that CD93, CYBB, DOCK8, IRF1, MBOAT1, MYO1F, NLRP1, NOD2, PIK3R1 increase the risk of PCOS, while PTER decreases the risk of PCOS. …”

Table10_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…</p>Conclusions<p>Our bioinformatics combined with MR analysis revealed that CD93, CYBB, DOCK8, IRF1, MBOAT1, MYO1F, NLRP1, NOD2, PIK3R1 increase the risk of PCOS, while PTER decreases the risk of PCOS. …”

Table1_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…</p>Conclusions<p>Our bioinformatics combined with MR analysis revealed that CD93, CYBB, DOCK8, IRF1, MBOAT1, MYO1F, NLRP1, NOD2, PIK3R1 increase the risk of PCOS, while PTER decreases the risk of PCOS. …”

Table4_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…</p>Conclusions<p>Our bioinformatics combined with MR analysis revealed that CD93, CYBB, DOCK8, IRF1, MBOAT1, MYO1F, NLRP1, NOD2, PIK3R1 increase the risk of PCOS, while PTER decreases the risk of PCOS. …”

Image2_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.tif by Yifang He (18126257)

“…</p>Conclusions<p>Our bioinformatics combined with MR analysis revealed that CD93, CYBB, DOCK8, IRF1, MBOAT1, MYO1F, NLRP1, NOD2, PIK3R1 increase the risk of PCOS, while PTER decreases the risk of PCOS. …”

Supplementary file 1_Efficacy and safety of the commercial Chinese polyherbal preparation Liu Shen Wan as an adjunctive treatment for herpes zoster and postherpetic neuralgia: a sy... by Yajing Li (1394572)

“…Meta-analysis demonstrated that LSW plus conventional treatment significantly outperformed conventional treatment alone in shortening vesicle cessation time [MD = −1.44, 95% CI (−1.66, −0.93), p < 0.00001, I² = 70%], accelerating scab formation (MD = −1.72, 95% CI (−2.09, −1.35), p < 0.00001, I² = 38%), reducing scab shedding time (MD = −2.22, 95% CI (−3.64, −0.80), p = 0.002, I² = 36%), decreasing time to pain resolution (MD = −2.46, 95% CI (−3.52, −1.39), p < 0.00001, I² = 0%), and shortening pain persistence duration (MD = −1.97, 95% CI (−2.49, −1.46), p < 0.00001, I² = 86%). …”

Supplementary file 2_Efficacy and safety of the commercial Chinese polyherbal preparation Liu Shen Wan as an adjunctive treatment for herpes zoster and postherpetic neuralgia: a sy... by Yajing Li (1394572)

“…Meta-analysis demonstrated that LSW plus conventional treatment significantly outperformed conventional treatment alone in shortening vesicle cessation time [MD = −1.44, 95% CI (−1.66, −0.93), p < 0.00001, I² = 70%], accelerating scab formation (MD = −1.72, 95% CI (−2.09, −1.35), p < 0.00001, I² = 38%), reducing scab shedding time (MD = −2.22, 95% CI (−3.64, −0.80), p = 0.002, I² = 36%), decreasing time to pain resolution (MD = −2.46, 95% CI (−3.52, −1.39), p < 0.00001, I² = 0%), and shortening pain persistence duration (MD = −1.97, 95% CI (−2.49, −1.46), p < 0.00001, I² = 86%). …”

Data Sheet 1_Efficacy and safety of the commercial Chinese polyherbal preparation Liu Shen Wan as an adjunctive treatment for herpes zoster and postherpetic neuralgia: a systematic... by Yajing Li (1394572)

“…Meta-analysis demonstrated that LSW plus conventional treatment significantly outperformed conventional treatment alone in shortening vesicle cessation time [MD = −1.44, 95% CI (−1.66, −0.93), p < 0.00001, I² = 70%], accelerating scab formation (MD = −1.72, 95% CI (−2.09, −1.35), p < 0.00001, I² = 38%), reducing scab shedding time (MD = −2.22, 95% CI (−3.64, −0.80), p = 0.002, I² = 36%), decreasing time to pain resolution (MD = −2.46, 95% CI (−3.52, −1.39), p < 0.00001, I² = 0%), and shortening pain persistence duration (MD = −1.97, 95% CI (−2.49, −1.46), p < 0.00001, I² = 86%). …”

Digitized maps of vascular plant species distributions in Denmark in the early 20th century by Ditte Marie Christiansen (12182972)

“…By comparing with modern distribution data, species increases and decreases can be determined, contributing to large-scale synthesis of national, European or worldwide plant diversity changes in the modern era.…”