proc reg sas procedure using pcsas Search Results


90
CH Instruments pcsa
( a <t>)</t> <t>Adsorption/desorption</t> hysteresis loop of <t>PCSA;</t> ( b ) Pore size distribution of PCSA.
Pcsa, supplied by CH Instruments, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/proc+reg+sas+procedure+using+pcsas/pcsa/pmc11696491-243-43-22
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ProMIS Neurosciences cognitive function abilities (pcsa)
Descriptive statistics on functional outcomes
Cognitive Function Abilities (Pcsa), supplied by ProMIS Neurosciences, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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86
Postbiotics Inc pcsa plus jk5g postbiotics
Effects of <t>JK5G</t> postbiotics on gut microbiota composition and function in cancer pain patients. (A) Phylum-level and (B) genus-level taxonomic distribution. (C) Principal coordinate analysis (PCoA) based on unweighted UniFrac distance (ASV level). (D) Cladogram of gut microbiota (JK5G vs control groups). (E) Linear Discriminant Analysis (LDA) scores from LEfSe showing biomarker taxa (LDA score > 2, p < 0.05 by Wilcoxon signed-rank test). (F) KEGG pathway predictions (Level 2) and (G) Level 3 using PICRUSt2. (H) COG function predictions using PICRUSt2.
Pcsa Plus Jk5g Postbiotics, supplied by Postbiotics Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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90
Abracon Corporation oscillator asl-8.000000-pcsa
Effects of <t>JK5G</t> postbiotics on gut microbiota composition and function in cancer pain patients. (A) Phylum-level and (B) genus-level taxonomic distribution. (C) Principal coordinate analysis (PCoA) based on unweighted UniFrac distance (ASV level). (D) Cladogram of gut microbiota (JK5G vs control groups). (E) Linear Discriminant Analysis (LDA) scores from LEfSe showing biomarker taxa (LDA score > 2, p < 0.05 by Wilcoxon signed-rank test). (F) KEGG pathway predictions (Level 2) and (G) Level 3 using PICRUSt2. (H) COG function predictions using PICRUSt2.
Oscillator Asl 8.000000 Pcsa, supplied by Abracon Corporation, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 90 stars, based on 1 article reviews
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93
Addgene inc peven1 4
Effects of <t>JK5G</t> postbiotics on gut microbiota composition and function in cancer pain patients. (A) Phylum-level and (B) genus-level taxonomic distribution. (C) Principal coordinate analysis (PCoA) based on unweighted UniFrac distance (ASV level). (D) Cladogram of gut microbiota (JK5G vs control groups). (E) Linear Discriminant Analysis (LDA) scores from LEfSe showing biomarker taxa (LDA score > 2, p < 0.05 by Wilcoxon signed-rank test). (F) KEGG pathway predictions (Level 2) and (G) Level 3 using PICRUSt2. (H) COG function predictions using PICRUSt2.
Peven1 4, supplied by Addgene inc, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/proc+reg+sas+procedure+using+pcsas/pCsA+(Plasmid+%23136067)/pmc11349869-59-14-16
Average 93 stars, based on 1 article reviews
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90
Abracon Corporation asv-40.000000-pcsa
Effects of <t>JK5G</t> postbiotics on gut microbiota composition and function in cancer pain patients. (A) Phylum-level and (B) genus-level taxonomic distribution. (C) Principal coordinate analysis (PCoA) based on unweighted UniFrac distance (ASV level). (D) Cladogram of gut microbiota (JK5G vs control groups). (E) Linear Discriminant Analysis (LDA) scores from LEfSe showing biomarker taxa (LDA score > 2, p < 0.05 by Wilcoxon signed-rank test). (F) KEGG pathway predictions (Level 2) and (G) Level 3 using PICRUSt2. (H) COG function predictions using PICRUSt2.
Asv 40.000000 Pcsa, supplied by Abracon Corporation, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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FUJIFILM type 1 aem/cem
Effects of <t>JK5G</t> postbiotics on gut microbiota composition and function in cancer pain patients. (A) Phylum-level and (B) genus-level taxonomic distribution. (C) Principal coordinate analysis (PCoA) based on unweighted UniFrac distance (ASV level). (D) Cladogram of gut microbiota (JK5G vs control groups). (E) Linear Discriminant Analysis (LDA) scores from LEfSe showing biomarker taxa (LDA score > 2, p < 0.05 by Wilcoxon signed-rank test). (F) KEGG pathway predictions (Level 2) and (G) Level 3 using PICRUSt2. (H) COG function predictions using PICRUSt2.
Type 1 Aem/Cem, supplied by FUJIFILM, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 90 stars, based on 1 article reviews
type 1 aem/cem - by Bioz Stars, 2026-09
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90
Nanofilm Technologie GmbH pcsa null imaging ellipsometer (i-elli2000
Effects of <t>JK5G</t> postbiotics on gut microbiota composition and function in cancer pain patients. (A) Phylum-level and (B) genus-level taxonomic distribution. (C) Principal coordinate analysis (PCoA) based on unweighted UniFrac distance (ASV level). (D) Cladogram of gut microbiota (JK5G vs control groups). (E) Linear Discriminant Analysis (LDA) scores from LEfSe showing biomarker taxa (LDA score > 2, p < 0.05 by Wilcoxon signed-rank test). (F) KEGG pathway predictions (Level 2) and (G) Level 3 using PICRUSt2. (H) COG function predictions using PICRUSt2.
Pcsa Null Imaging Ellipsometer (I Elli2000, supplied by Nanofilm Technologie GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/proc+reg+sas+procedure+using+pcsas/ep3+imaging+ellipsometer/10__1021_slash_jp037282k-55-6-14
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90
SA Instruments pcsam
Effects of <t>JK5G</t> postbiotics on gut microbiota composition and function in cancer pain patients. (A) Phylum-level and (B) genus-level taxonomic distribution. (C) Principal coordinate analysis (PCoA) based on unweighted UniFrac distance (ASV level). (D) Cladogram of gut microbiota (JK5G vs control groups). (E) Linear Discriminant Analysis (LDA) scores from LEfSe showing biomarker taxa (LDA score > 2, p < 0.05 by Wilcoxon signed-rank test). (F) KEGG pathway predictions (Level 2) and (G) Level 3 using PICRUSt2. (H) COG function predictions using PICRUSt2.
Pcsam, supplied by SA Instruments, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/proc+reg+sas+procedure+using+pcsas/pc+sam/10__1161_slash_jaha__119__015640-104-24-25
Average 90 stars, based on 1 article reviews
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Esri inc arcview 3.2
Effects of <t>JK5G</t> postbiotics on gut microbiota composition and function in cancer pain patients. (A) Phylum-level and (B) genus-level taxonomic distribution. (C) Principal coordinate analysis (PCoA) based on unweighted UniFrac distance (ASV level). (D) Cladogram of gut microbiota (JK5G vs control groups). (E) Linear Discriminant Analysis (LDA) scores from LEfSe showing biomarker taxa (LDA score > 2, p < 0.05 by Wilcoxon signed-rank test). (F) KEGG pathway predictions (Level 2) and (G) Level 3 using PICRUSt2. (H) COG function predictions using PICRUSt2.
Arcview 3.2, supplied by Esri inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/proc+reg+sas+procedure+using+pcsas/arcgis+10+2/pmc01360885-306-7-9
Average 90 stars, based on 1 article reviews
arcview 3.2 - by Bioz Stars, 2026-09
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90
SA Instruments pcsam monitoring software
Effects of <t>JK5G</t> postbiotics on gut microbiota composition and function in cancer pain patients. (A) Phylum-level and (B) genus-level taxonomic distribution. (C) Principal coordinate analysis (PCoA) based on unweighted UniFrac distance (ASV level). (D) Cladogram of gut microbiota (JK5G vs control groups). (E) Linear Discriminant Analysis (LDA) scores from LEfSe showing biomarker taxa (LDA score > 2, p < 0.05 by Wilcoxon signed-rank test). (F) KEGG pathway predictions (Level 2) and (G) Level 3 using PICRUSt2. (H) COG function predictions using PICRUSt2.
Pcsam Monitoring Software, supplied by SA Instruments, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 90 stars, based on 1 article reviews
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SA Instruments pcsam model 1025t synchronisation system
Effects of <t>JK5G</t> postbiotics on gut microbiota composition and function in cancer pain patients. (A) Phylum-level and (B) genus-level taxonomic distribution. (C) Principal coordinate analysis (PCoA) based on unweighted UniFrac distance (ASV level). (D) Cladogram of gut microbiota (JK5G vs control groups). (E) Linear Discriminant Analysis (LDA) scores from LEfSe showing biomarker taxa (LDA score > 2, p < 0.05 by Wilcoxon signed-rank test). (F) KEGG pathway predictions (Level 2) and (G) Level 3 using PICRUSt2. (H) COG function predictions using PICRUSt2.
Pcsam Model 1025t Synchronisation System, supplied by SA Instruments, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Image Search Results


( a ) Adsorption/desorption hysteresis loop of PCSA; ( b ) Pore size distribution of PCSA.

Journal: Scientific Reports

Article Title: Elimination of nickel ions in a packed column using clamshell waste as an adsorbent

doi: 10.1038/s41598-024-82267-0

Figure Lengend Snippet: ( a ) Adsorption/desorption hysteresis loop of PCSA; ( b ) Pore size distribution of PCSA.

Article Snippet: The following error analysis methodologies (Eq. ( ) to ( )) such as RMSE (Root Mean Square Error) , χ 2 (Pearson’s Chi-square) and SSE (Sum of Squares of errors) , are utilized in order to determine the nickel concentration after adsorption using PCSA.

Techniques: Adsorption, Pore Size

Non-linear modeling parameters for Ni 2+  adsorption  using  PCSA.

Journal: Scientific Reports

Article Title: Elimination of nickel ions in a packed column using clamshell waste as an adsorbent

doi: 10.1038/s41598-024-82267-0

Figure Lengend Snippet: Non-linear modeling parameters for Ni 2+ adsorption using PCSA.

Article Snippet: The following error analysis methodologies (Eq. ( ) to ( )) such as RMSE (Root Mean Square Error) , χ 2 (Pearson’s Chi-square) and SSE (Sum of Squares of errors) , are utilized in order to determine the nickel concentration after adsorption using PCSA.

Techniques: Adsorption

BDST parameters for Ni 2+  adsorption  using  PCSA.

Journal: Scientific Reports

Article Title: Elimination of nickel ions in a packed column using clamshell waste as an adsorbent

doi: 10.1038/s41598-024-82267-0

Figure Lengend Snippet: BDST parameters for Ni 2+ adsorption using PCSA.

Article Snippet: The following error analysis methodologies (Eq. ( ) to ( )) such as RMSE (Root Mean Square Error) , χ 2 (Pearson’s Chi-square) and SSE (Sum of Squares of errors) , are utilized in order to determine the nickel concentration after adsorption using PCSA.

Techniques: Adsorption

Comparison studies on dynamic  adsorption  of Ni 2+ ions.

Journal: Scientific Reports

Article Title: Elimination of nickel ions in a packed column using clamshell waste as an adsorbent

doi: 10.1038/s41598-024-82267-0

Figure Lengend Snippet: Comparison studies on dynamic adsorption of Ni 2+ ions.

Article Snippet: The following error analysis methodologies (Eq. ( ) to ( )) such as RMSE (Root Mean Square Error) , χ 2 (Pearson’s Chi-square) and SSE (Sum of Squares of errors) , are utilized in order to determine the nickel concentration after adsorption using PCSA.

Techniques: Comparison, Adsorption

Descriptive statistics on functional outcomes

Journal: Journal of neuroimmune pharmacology : the official journal of the Society on NeuroImmune Pharmacology

Article Title: Reduction in Cannabis Use and Functional Status in Physical Health, Mental Health, and Cognition

doi: 10.1007/s11481-018-9813-6

Figure Lengend Snippet: Descriptive statistics on functional outcomes

Article Snippet: PROMIS Cognitive Function Abilities (PCSA) , 51.1 (10.5) , 50.2 (10.2) , 46.1 (9.2) , 49.7 (10.2).

Techniques: Functional Assay

Effects of JK5G postbiotics on gut microbiota composition and function in cancer pain patients. (A) Phylum-level and (B) genus-level taxonomic distribution. (C) Principal coordinate analysis (PCoA) based on unweighted UniFrac distance (ASV level). (D) Cladogram of gut microbiota (JK5G vs control groups). (E) Linear Discriminant Analysis (LDA) scores from LEfSe showing biomarker taxa (LDA score > 2, p < 0.05 by Wilcoxon signed-rank test). (F) KEGG pathway predictions (Level 2) and (G) Level 3 using PICRUSt2. (H) COG function predictions using PICRUSt2.

Journal: Frontiers in Immunology

Article Title: JK5G postbiotics modulate gut microbiota and metabolome to alleviate cancer-related pain: a randomized controlled trial with multi-omics integration

doi: 10.3389/fimmu.2026.1764491

Figure Lengend Snippet: Effects of JK5G postbiotics on gut microbiota composition and function in cancer pain patients. (A) Phylum-level and (B) genus-level taxonomic distribution. (C) Principal coordinate analysis (PCoA) based on unweighted UniFrac distance (ASV level). (D) Cladogram of gut microbiota (JK5G vs control groups). (E) Linear Discriminant Analysis (LDA) scores from LEfSe showing biomarker taxa (LDA score > 2, p < 0.05 by Wilcoxon signed-rank test). (F) KEGG pathway predictions (Level 2) and (G) Level 3 using PICRUSt2. (H) COG function predictions using PICRUSt2.

Article Snippet: The cohort comprised 75 patients receiving PCSA plus placebo (control group) and 74 patients receiving PCSA plus JK5G postbiotics (JK5G group).

Techniques: Control, Biomarker Discovery

JK5G Postbiotics Modulate Immune Parameters in Cancer Pain Patients: Insights from Interpretable Machine Learning (SHAP Analysis of SVM, RF, and Logistic Regression Models). (A–F) Proportions of CD3 + T cells (A) , CD3 + CD4 + T cells (B) , CD3 + CD8 + T cells (C) , CD4/CD ratio (D) , CD16/56 + NK cells (E) , and CD19 + B cells (F) in peripheral blood (JK5G vs. control). (G–K) Serum levels of TNF-α (G) , IL-2 (H) , IL-6 (I) , IL-8 (J) , and IL-10 (K) (JK5G vs. control). (L) Correlation heatmap between immune cells, cytokines, and bacterial genera (red: positive, blue: negative, white: no correlation). (M) Redundancy analysis (RDA) of samples, microbial species, and physiological factors (black arrows: bacteria; symbols: samples; yellow arrows: factors; axes show variance percentages). SHAP analysis was applied to three models: SVM (N–P) , RF (Q–S) , and Logistic Regression (T–V) . Panels display global feature importance (left), summary plots (middle), and local explanations (right) for each model. Global importance (left) is based on mean absolute SHAP values, summarizing average feature impacts. Summary plots (middle) show feature effect directions and heterogeneous influences. Waterfall plots (right) illustrate individual prediction deviations from the base value, demonstrating local additivity of feature contributions. Data (A–K) are means ± SEMs; * p < 0.05, ** p < 0.01, *** p < 0.001, ns, not significant.

Journal: Frontiers in Immunology

Article Title: JK5G postbiotics modulate gut microbiota and metabolome to alleviate cancer-related pain: a randomized controlled trial with multi-omics integration

doi: 10.3389/fimmu.2026.1764491

Figure Lengend Snippet: JK5G Postbiotics Modulate Immune Parameters in Cancer Pain Patients: Insights from Interpretable Machine Learning (SHAP Analysis of SVM, RF, and Logistic Regression Models). (A–F) Proportions of CD3 + T cells (A) , CD3 + CD4 + T cells (B) , CD3 + CD8 + T cells (C) , CD4/CD ratio (D) , CD16/56 + NK cells (E) , and CD19 + B cells (F) in peripheral blood (JK5G vs. control). (G–K) Serum levels of TNF-α (G) , IL-2 (H) , IL-6 (I) , IL-8 (J) , and IL-10 (K) (JK5G vs. control). (L) Correlation heatmap between immune cells, cytokines, and bacterial genera (red: positive, blue: negative, white: no correlation). (M) Redundancy analysis (RDA) of samples, microbial species, and physiological factors (black arrows: bacteria; symbols: samples; yellow arrows: factors; axes show variance percentages). SHAP analysis was applied to three models: SVM (N–P) , RF (Q–S) , and Logistic Regression (T–V) . Panels display global feature importance (left), summary plots (middle), and local explanations (right) for each model. Global importance (left) is based on mean absolute SHAP values, summarizing average feature impacts. Summary plots (middle) show feature effect directions and heterogeneous influences. Waterfall plots (right) illustrate individual prediction deviations from the base value, demonstrating local additivity of feature contributions. Data (A–K) are means ± SEMs; * p < 0.05, ** p < 0.01, *** p < 0.001, ns, not significant.

Article Snippet: The cohort comprised 75 patients receiving PCSA plus placebo (control group) and 74 patients receiving PCSA plus JK5G postbiotics (JK5G group).

Techniques: Control, Bacteria

JK5G postbiotics modulate gut microbiota and systemic immunity in lung cancer patients. (A) Principal coordinate analysis (PCoA) based on unweighted UniFrac distance (ASV level). (B) Cladogram of gut microbiota (JK5G vs. control groups). (C) Linear Discriminant Analysis (LDA) scores from LEfSe showing biomarker taxa (LDA score > 2, p < 0.05 by Wilcoxon signed-rank test). (D) Wilcoxon rank-sum test bar plot on genus level of two groups. (E) Correlation heatmap between immune cells, cytokines, and bacterial genera (red: positive, blue: negative, white: no correlation). (F–J) Serum levels of TNF-α (F) , IL-2 (G) , IL-6 (H) , IL-8 (I) , and IL-10 (J) (JK5G vs. control). (K–P) Proportions of CD3 + T cells (K) , CD3 + CD4 + T cells (L) , CD3 + CD8 + T cells (M) , CD4 + /CD8 + ratio (N) , CD16 + /56 + NK cells (O) , and CD19 + B cells (P) in peripheral blood (JK5G vs. control). (Q–S) Nutrition-related indicators: serum prealbumin (Q) , total protein (R) , and albumin (S) (JK5G vs. control). Data in panels (F–S) were analyzed by Student’s t-test. * p < 0.05, ** p < 0.01, *** p < 0.001, ns: not significant.

Journal: Frontiers in Immunology

Article Title: JK5G postbiotics modulate gut microbiota and metabolome to alleviate cancer-related pain: a randomized controlled trial with multi-omics integration

doi: 10.3389/fimmu.2026.1764491

Figure Lengend Snippet: JK5G postbiotics modulate gut microbiota and systemic immunity in lung cancer patients. (A) Principal coordinate analysis (PCoA) based on unweighted UniFrac distance (ASV level). (B) Cladogram of gut microbiota (JK5G vs. control groups). (C) Linear Discriminant Analysis (LDA) scores from LEfSe showing biomarker taxa (LDA score > 2, p < 0.05 by Wilcoxon signed-rank test). (D) Wilcoxon rank-sum test bar plot on genus level of two groups. (E) Correlation heatmap between immune cells, cytokines, and bacterial genera (red: positive, blue: negative, white: no correlation). (F–J) Serum levels of TNF-α (F) , IL-2 (G) , IL-6 (H) , IL-8 (I) , and IL-10 (J) (JK5G vs. control). (K–P) Proportions of CD3 + T cells (K) , CD3 + CD4 + T cells (L) , CD3 + CD8 + T cells (M) , CD4 + /CD8 + ratio (N) , CD16 + /56 + NK cells (O) , and CD19 + B cells (P) in peripheral blood (JK5G vs. control). (Q–S) Nutrition-related indicators: serum prealbumin (Q) , total protein (R) , and albumin (S) (JK5G vs. control). Data in panels (F–S) were analyzed by Student’s t-test. * p < 0.05, ** p < 0.01, *** p < 0.001, ns: not significant.

Article Snippet: The cohort comprised 75 patients receiving PCSA plus placebo (control group) and 74 patients receiving PCSA plus JK5G postbiotics (JK5G group).

Techniques: Control, Biomarker Discovery

Effects of JK5G postbiotics on fecal metabolomics in cancer pain patients. (A) PLS-DA score plot between groups. (B) Volcano plot of differential metabolites (red: up-regulated; blue: down-regulated). (C) Heatmap of differential metabolites (color indicates relative expression: red for high, blue for low). (D) Variable importance in projection (VIP) scores of metabolites (VIP > 1); heatmap shows abundance ratio in JK5G vs. control (red: high, blue: low). VIP scores based on PLS-DA model. (E) KEGG pathway analysis: circle size = number of metabolites, color = P value. (F) KEGG pathway Level 2, (G) Level 3, (H) Top 20 KEGG pathways, and (I) KEGG multi-dimensional enrichment diagram.

Journal: Frontiers in Immunology

Article Title: JK5G postbiotics modulate gut microbiota and metabolome to alleviate cancer-related pain: a randomized controlled trial with multi-omics integration

doi: 10.3389/fimmu.2026.1764491

Figure Lengend Snippet: Effects of JK5G postbiotics on fecal metabolomics in cancer pain patients. (A) PLS-DA score plot between groups. (B) Volcano plot of differential metabolites (red: up-regulated; blue: down-regulated). (C) Heatmap of differential metabolites (color indicates relative expression: red for high, blue for low). (D) Variable importance in projection (VIP) scores of metabolites (VIP > 1); heatmap shows abundance ratio in JK5G vs. control (red: high, blue: low). VIP scores based on PLS-DA model. (E) KEGG pathway analysis: circle size = number of metabolites, color = P value. (F) KEGG pathway Level 2, (G) Level 3, (H) Top 20 KEGG pathways, and (I) KEGG multi-dimensional enrichment diagram.

Article Snippet: The cohort comprised 75 patients receiving PCSA plus placebo (control group) and 74 patients receiving PCSA plus JK5G postbiotics (JK5G group).

Techniques: Expressing, Control