Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 377

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Molecular Mechanism of Pancreatic and Salivary Gland Fluid and HCO3−Secretion

Open access
Lee, Min Goo, Ohana, Ehud, Park, Hyun Woo, Yang, Dongki, Muallem, Shmuel·2012·Physiological Reviews

Abstract

Fluid and HCO 3−secretion is a vital function of all epithelia and is required for the survival of the tissue. Aberrant fluid and HCO 3−secretion is associated with many epithelial diseases, such as cystic fibrosis, pancreatitis, Sjögren's syndrome, and other epithelial inflammatory and autoimmune diseases. Significant progress has been made over the last 20 years in our understanding of epithelial fluid and HCO 3−secretion, in particular by secretory glands. Fluid and HCO 3−secretion by secretory glands is a two-step process. Acinar cells secrete isotonic fluid in which the major salt is NaCl. Subsequently, the duct modifies the volume and electrolyte composition of the fluid to absorb the Cl−and secrete HCO 3−. The relative volume secreted by acinar and duct cells and modification of electrolyte composition of the secreted fluids varies among secretory glands to meet their physiological functions. In the pancreas, acinar cells secrete a small amount of NaCl-rich fluid, while the duct absorbs the Cl−and secretes HCO 3−and the bulk of the fluid in the pancreatic juice. Fluid secretion appears to be driven by active HCO 3−secretion. In the salivary glands, acinar cells secrete the bulk of the fluid in the saliva that is driven by active Cl−secretion and contains high concentrations of Na+and Cl−. The salivary glands duct absorbs both the Na+and Cl−and secretes K+and HCO 3−. In this review, we focus on the molecular mechanism of fluid and HCO 3−secretion by the pancreas and salivary glands, to highlight the similarities of the fundamental mechanisms of acinar and duct cell functions, and to point out the differences to meet gland-specific secretions.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1152/physrev.00011.2011

Cites

9 of 9 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Cited by

See all 377

Metadata

Authors
Lee, M. G., Ohana, E., Park, H. W., Yang, D., & Muallem, S.
Venue
Physiological Reviews
Published
2012-01
Volume
92
Issue
1
Pages
39-74
ISSN
  • 0031-9333 (ISSN-L)
  • 1522-1210
OpenAlex
W2113193681
Cited by
377
References
9
FWCI
2.02
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.