MWM training data. by Robert Botelho (20308297)

Subjects: “…following chemotherapy treatment…”

The flow-diagram for the randomised clinical study. by Iva Milinkovic (22331710)

Subjects:

Mean Values and Standard Deviations (Mean [±SD]) of Clinical Parameters: periodontal probing depth (PPD), clinical attachment level (CAL), bleeding on probing (BOP), and plaque ind... by Iva Milinkovic (22331710)

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Development of alpha diversity across weeks towards a new TNF treatment for each IBD disease subtype. by Katrine Carlsen (5477300)

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Changes of PVS ratios and volumes for different treatment periods and different dose levels (HD: high dose, SD: standard dose, and RD: reduced dose). by Ruitian Song (11045127)

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Effects of finerenone on the UACR in all patients. by Jia Song (495396)

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Changes in blood pressure, HbA1c, blood lipid and liver function-related indicator values compared with baseline values in all patients over time. by Jia Song (495396)

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Changes in blood pressure, HbA1c, blood lipids and liver function-related indicator values from 3 months to 6 months of treatment in all patients. by Jia Song (495396)

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Changes in the UACR and urinary β2-MG levels compared with baseline values over time. by Jia Song (495396)

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Changes in the eGFRs and serum potassium levels compared with baseline values in all patients over time. by Jia Song (495396)

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Comparison of the rates of decline in the UACR and urinary β2-MG levels between the two subgroups. by Jia Song (495396)

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Changes in the eGFRs and serum potassium levels compared with values at the end of 1 month of treatment in all patients over time. by Jia Song (495396)

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Changes in inflammatory cytokine levels compared with baseline values in all patients over time. by Jia Song (495396)

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Effects of finerenone on the urinary β2-MG levels in all patients. by Jia Song (495396)

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Baseline characteristics of the participants. by Jia Song (495396)

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Table 1_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

“…Even though the spike-in method identified the decrease of four genera, analysis by fluorescence-activated cell sorting (FACS) uncovered eight significantly reduced genera, such as Prevotella and Paraprevotella upon antibiotic treatment. …”

Table 3_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

“…Even though the spike-in method identified the decrease of four genera, analysis by fluorescence-activated cell sorting (FACS) uncovered eight significantly reduced genera, such as Prevotella and Paraprevotella upon antibiotic treatment. …”

Table 4_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

“…Even though the spike-in method identified the decrease of four genera, analysis by fluorescence-activated cell sorting (FACS) uncovered eight significantly reduced genera, such as Prevotella and Paraprevotella upon antibiotic treatment. …”

Table 8_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

“…Even though the spike-in method identified the decrease of four genera, analysis by fluorescence-activated cell sorting (FACS) uncovered eight significantly reduced genera, such as Prevotella and Paraprevotella upon antibiotic treatment. …”

Table 2_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

“…Even though the spike-in method identified the decrease of four genera, analysis by fluorescence-activated cell sorting (FACS) uncovered eight significantly reduced genera, such as Prevotella and Paraprevotella upon antibiotic treatment. …”