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Related Concept Videos

Drug Absorption Mechanism: Passive Membrane Transport01:23

Drug Absorption Mechanism: Passive Membrane Transport

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Passive transport is a method of drug absorption where small, lipid-soluble drugs can move across the cell membrane. This movement happens along the concentration gradient, which is a natural flow from higher to lower concentration areas. The speed at which the drug moves is directly related to its lipid–water partition coefficient. This means that the more a drug dissolves in lipids, the faster it diffuses or spreads throughout the body. It is important to note that most drugs are either...
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Correlations02:20

Correlations

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Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
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Correlation and Causation01:27

Correlation and Causation

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Statistical tests can calculate whether there is a relationship, or correlation, between independent and dependent variables. An indirect relationship of the variables signifies a correlation, while a direct relationship shows causation. If it is determined that no connection exists between the variables, then the correlation is a coincidence.
Correlation versus Causation
If the dependent variable increases or decreases when the independent variable increases, there is a positive or negative...
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Drug Absorption Mechanism: Carrier-Mediated Membrane Transport01:19

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Certain large, lipid-insoluble drug molecules that resemble amino acids, peptides, or glucose, require specialized carrier proteins to facilitate their diffusion across cell membranes. This transport can occur through either facilitated diffusion, which does not require energy input, or active transport, which does require energy input.
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Noncompartmental Analysis: Mean Transit, Absorption and Dissolution Time01:02

Noncompartmental Analysis: Mean Transit, Absorption and Dissolution Time

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When drugs are administered extravascularly, a comprehensive evaluation through noncompartmental analysis becomes imperative. This analytical approach considers various parameters that play a crucial role in understanding the pharmacokinetics of these drugs.
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Correlation01:09

Correlation

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In statistics, two variables are said to be correlated if the values of one variable are associated with the other variable. Depending on the relationship between two variables, correlation can be of three types– positive correlation, negative correlation, and zero correlation.
Two variables, for example, a and b, are said to be positively correlated if both variables move in the same direction. In other words, a positive correlation exists between two variables, a and b, if:
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Related Experiment Video

Updated: Feb 12, 2026

Culturing of Human Nasal Epithelial Cells at the Air Liquid Interface
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Analysis of the Correlation Between Membrane Permeability in RPMI 2650 Cells and Human Nasal Absorption.

Tokio Morita1, Toshiaki Tsuchitani2, Hiroyuki Yoshida3

  • 1Division of Drugs, National Institute of Health Sciences, 3-25-26 Tonomachi, Kawasaki-Ku, Kawasaki-Shi, Kanagawa, 210-9501, Japan. morita_tokio@nihs.go.jp.

AAPS Pharmscitech
|February 10, 2026
PubMed
Summary

RPMI 2650 cells show promise as an in vitro model for predicting nasal drug absorption. This study demonstrates their utility in early pharmaceutical development for selecting drug candidates with good nasal bioavailability.

Keywords:
in vitro-in vivo correlationNasal absorptionNasal fraction absorbedRPMI 2650 cells

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Absorption of Nasal and Bronchial Fluids: Precision Sampling of the Human Respiratory Mucosa and Laboratory Processing of Samples
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Absorption of Nasal and Bronchial Fluids: Precision Sampling of the Human Respiratory Mucosa and Laboratory Processing of Samples
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Area of Science:

  • Pharmacology
  • Drug Delivery
  • Cell Biology

Background:

  • Nasal drug delivery provides rapid onset and avoids hepatic first-pass metabolism.
  • Predictive tools are crucial in early pharmaceutical development for nasal drug candidate selection.

Purpose of the Study:

  • To evaluate RPMI 2650 cells as an in vitro model for predicting nasal drug absorption.
  • To assess the correlation between RPMI 2650 cell permeability and clinical nasal bioavailability (nasal BA) and human nasal fraction absorbed (nasal Fa).

Main Methods:

  • Cultured RPMI 2650 cells under air-liquid interface conditions.
  • Confirmed reproducibility of membrane permeability across different culture shifts.
  • Correlated in vitro cell permeability with in vivo nasal BA and nasal Fa data.

Main Results:

  • Consistent membrane permeability profiles and agreement with reported Papp values were observed.
  • Good correlations were found between RPMI 2650 cell permeability and both nasal BA and estimated human nasal Fa.
  • This is the first study to show a significant correlation between in vitro permeability and estimated human nasal Fa.

Conclusions:

  • RPMI 2650 cells serve as a valuable in vitro tool for predicting nasal drug absorption.
  • These cells aid in selecting suitable drug candidates during early pharmaceutical development.
  • Despite some compound-specific deviations, the model shows significant predictive utility.