--- title: "Get started with IsletCalc" output: rmarkdown::html_vignette vignette: > %\VignetteIndexEntry{Get started with IsletCalc} %\VignetteEngine{knitr::rmarkdown} %\VignetteEncoding{UTF-8} --- ```{r, include = FALSE} knitr::opts_chunk$set( collapse = TRUE, comment = "#>" ) ``` ```{r setup} library(IsletCalc) ``` ## Overview IsletCalc computes surrogate indices of pancreatic islet hormone release from fasting and 75 g oral glucose tolerance test (OGTT) measurements, covering both beta-cell and alpha-cell function: - `insulin_release()`: beta-cell insulin release indices (HOMA-beta, CIR, Stumvoll, BIGTT-AIR, disposition indices), following Madsen et al. (2024) . - `glucagon_release()`: alpha-cell glucagon secretion magnitude (fasting glucagon, glucagon AUC). - `glucagon_resistance()`: glucagon suppression / resistance indices, reflecting impaired hepatic glucagon signaling as described in the liver-alpha-cell-axis literature. ## Insulin release ```{r} data(example_data) res <- insulin_release(example_data, category = c("fasting", "ogtt")) head(res) ``` Request a single category if you only have fasting values: ```{r} head(insulin_release(example_data, category = "fasting")) ``` ## Glucagon release ```{r} head(glucagon_release(example_data)) ``` ## Glucagon resistance ```{r} head(glucagon_resistance(example_data)) ``` A `Glucagon_suppression_ratio` at or above 1 indicates a failure to suppress glucagon after the glucose load, a hallmark of hepatic glucagon resistance. ## Input data All three functions expect a data frame with a subset of these columns: | Column | Meaning | Unit | |---|---|---| | `G0`, `G30`, `G120` | Glucose at 0/30/120 min | mmol/L | | `I0`, `I30`, `I120` | Insulin at 0/30/120 min | pmol/L | | `sex` | Male indicator | 1 = male, otherwise female | | `bmi` | Body mass index | kg/m^2 | | `Glucagon0`, `Glucagon30`, `Glucagon120` | Glucagon at 0/30/120 min | pmol/L | If a column required for a given index is missing, that index is skipped with a warning rather than the whole function failing, so you can still compute whichever indices your data supports. ## Further reading This vignette is a quick start. The package website hosts fuller articles with the exact formulas, unit conventions, biological interpretation and references: - [Insulin release indices: formulas and interpretation](https://sufyansuleman.github.io/IsletCalc/articles/insulin-release-indices.html) - [Glucagon and the liver-alpha-cell axis](https://sufyansuleman.github.io/IsletCalc/articles/glucagon-liver-alpha-cell-axis.html)