# Cohort Stratified Metabolic Performance Analysis > Use when when you have uploaded a pre-analytical data table containing sample metadata, processing delay annotations (pre- and post-centrifugation times), and paired NMR metabolomic measurements for a plasma or serum cohort, and you need to determine how processing delays impact metabolite. - Skill: `holobiomicslab/cohort-stratified-metabolic-performance-analysis-2` (Agent Skill) - Install (CLI): `npx skillmds@latest add holobiomicslab/cohort-stratified-metabolic-performance-analysis-2` - Raw SKILL.md: https://api.skillmd.com/api/skills/holobiomicslab/cohort-stratified-metabolic-performance-analysis-2/raw - Safety review: pending - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Data & Analytics - License: CC-BY-4.0 - Author: HolobiomicsLab (https://skillmd.com/u/holobiomicslab) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/holobiomicslab/cohort-stratified-metabolic-performance-analysis-2 --- # Cohort-stratified metabolic performance analysis > **License: restricted** — no clear open-source license detected for the underlying tool; verify licensing before commercial use or redistribution. ## Summary This skill uses PRIMA-Panel to quantify the effect of pre- and post-centrifugation processing delays on NMR metabolomic measurements across a sample cohort, generating delay-stratified performance reports that surface metabolite concentration shifts and data quality degradation. ## When to use When you have uploaded a pre-analytical data table containing sample metadata, processing delay annotations (pre- and post-centrifugation times), and paired NMR metabolomic measurements for a plasma or serum cohort, and you need to determine how processing delays impact metabolite stability and quantify minor vs. major concentration changes across the cohort. ## When NOT to use - Input data lacks pre-analytical metadata (e.g., centrifugation timing, SPREC classification) — PRIMA-Panel requires these fields to parse and validate the structure. - Sample cohort contains only a single time-point (no delay variation) — the skill is designed to investigate effects *across* processing delay strata. - Metabolomic platform is not NMR (e.g., LC-MS/MS, GC-MS) — PRIMA-Panel is instrument-specific to NMR-based measurements. - Data are already aggregated into summary statistics — the skill requires raw or minimally processed per-sample metabolite measurements. ## Inputs - Pre-analytical data table (CSV, TSV, or Excel) with columns: sample identifier, pre-centrifugation delay (minutes), post-centrifugation delay (minutes), SPREC classification, and NMR metabolomic measurements (metabolite concentrations) ## Outputs - Interactive performance report table (HTML or CSV) summarizing cohort-level metabolite concentration shifts, stratified by pre- and post-centrifugation delay windows - Delay-stratified metabolite change annotations (minor and major threshold violations per metabolite) - Data quality indicators and stability metrics across the sample cohort ## How to apply Load the pre-analytical data table into PRIMA-Panel and parse its structure to validate presence of required fields for cohort identification and processing delay annotation (pre-centrifugation delay in minutes and post-centrifugation delay in minutes, stratified by SPREC classification). Use the 'Single' tab to set slider-controlled thresholds for pre- and post-centrifugation time windows. PRIMA-Panel then calculates per-metabolite concentration shifts and flags minor and major changes relative to user-adjustable percentage thresholds. The resulting interactive table displays cohort-level statistics and identifies which metabolites degrade most severely within each delay window. Download the report as HTML (formatted) or CSV (raw table) for downstream interpretation. ## Related tools - **PRIMA-Panel** (Interactive data exploration and performance report generation platform; accepts uploaded pre-analytical tables and calculates metabolite concentration shifts stratified by processing delay windows) — https://github.com/funkam/PRIMA - **QC-Tool** (Associated quality control utility for pre-analytical data validation and SPREC classification) — https://github.com/funkam/QC-Tool ## Evaluation signals - Parsed input table contains all required fields (sample ID, pre-centrifugation delay, post-centrifugation delay, SPREC classification, metabolite concentrations) with no missing values in the delay or metabolite columns. - Generated report table lists all metabolites present in the input cohort and flags minor/major changes according to user-specified percentage thresholds for each delay window. - Cohort-level statistics (e.g., mean concentration, SD, delay-stratified subgroup counts) are consistent with manual spot-checks of the input data. - HTML and CSV exports are non-empty, properly formatted, and contain identical underlying data (format-agnostic verification). - Metabolite concentration shifts increase monotonically (or step-wise) with increasing processing delay, consistent with known stability degradation in blood samples. ## Limitations - PRIMA-Panel is specialized to peripheral blood samples (plasma/serum); applicability to other biofluids or tissue types is not documented. - The tool assumes NMR metabolomic measurements; integration with other omics modalities (proteomics, lipidomics) is not supported. - Percentage thresholds for minor/major changes and color scheme are user-adjustable but not validated against external stability benchmarks; calibration is analyst-dependent. - Processing delay times must be accurately recorded in the input table; timing errors or missing delay annotations will cause validation failure or misinterpretation. ## Evidence - [readme] Core tool definition: "The PRIMA-Panel is a tool to investigate the effect of processing delays on metabolic parameters in samples of peripheral blood (plasma / serum)." - [readme] Input data requirements: "PRIMA-Panel allows the creation of so called performance reports for sample cohorts. Here a data table with pre-analytical information can be uploaded" - [other] Workflow: parsing and delay stratification: "Parse and validate the input table structure to ensure required fields for cohort identification and processing delay annotation are present." - [other] Workflow: performance metric calculation: "Calculate performance metrics quantifying the effect of processing delays on metabolic parameters (e.g., metabolite concentration shifts, data quality degradation) across the sample cohort." - [readme] Output format and interaction: "The 'Single' tab allows the user to set a pre-centrifugation time and a post-centrifugation using a Slider. A table is then generated that higlights a minor and a major change for each metabolite in" - [readme] Export capabilities: "The table can be downloaded as a .HTML report or the table directly as .csv (or other formats)."