S2 Data - Alterations in the serum metabolome in patients with the COVID-19 Omicron variant and in recovered cases by Feng Gao (3548)

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Relative intensities of differential metabolites that may serve as potential metabolic biomarkers in Omicron variant cases. by Feng Gao (3548)

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S4 Data - Alterations in the serum metabolome in patients with the COVID-19 Omicron variant and in recovered cases by Feng Gao (3548)

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S6 Data - Alterations in the serum metabolome in patients with the COVID-19 Omicron variant and in recovered cases by Feng Gao (3548)

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S5 Data - Alterations in the serum metabolome in patients with the COVID-19 Omicron variant and in recovered cases by Feng Gao (3548)

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ROC curve analysis for the predictive power of biomarkers for distinguishing between patients with Omicron variant and healthy controls. by Feng Gao (3548)

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Analysis of the correlation between pharyngeal microbiomics, metabolomics and clinical indicators between OC and HC. by Feng Gao (3548)

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Metabolome KEGG enrichment analysis of serum in Omicron variant cases and recovered cases. by Feng Gao (3548)

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Untargeted metabolomic profiling of sera from Omicron variant cases of the discovery cohort. by Feng Gao (3548)

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S8 Data - Alterations in the serum metabolome in patients with the COVID-19 Omicron variant and in recovered cases by Feng Gao (3548)

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Fig 6 - by Takafumi Kabuto (14797727)

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Fig 4 - by Takafumi Kabuto (14797727)

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Primers sequences of the genes examined by real-time PCR. by Takafumi Kabuto (14797727)

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Fig 5 - by Takafumi Kabuto (14797727)

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Measurement of micturition behavior in the rats. by Takafumi Kabuto (14797727)

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Measurements of the amount of ATP released by bladder distention and VNUT expression in the bladder. by Takafumi Kabuto (14797727)

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Determination of bladder blood flow in LETO and OLETF rats. by Takafumi Kabuto (14797727)

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Refractive error, spectacle wear, and referrals among public and private school children based on the AAPOS 2021 referral criteria. by Zahi Wehbi (14863016)

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Referral rate and rates of different refractive errors according to the different referral criteria. by Zahi Wehbi (14863016)

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Demographics of all study participants (n = 308 students; 616 eyes). by Zahi Wehbi (14863016)

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