Back

CSTA: A Biomarker Regulating Esophageal Stricture Epithelial Barrier, Potential Medication Target

Yang, F.; HU, Y.; Shi, Z.; Jin, H.; Hu, K.; Ye, G.; Pang, Q.; Hou, R.; Tang, K.; Zhu, Y.

2023-10-25 cell biology
10.1101/2023.10.23.563568 bioRxiv
Show abstract

Esophageal strictures resulting from ESD/EMR in the esophagus are distressing, with uncertain causes and treatments due to epithelial barrier dysfunction. We explored cystatin A (CSTA) as a novel biomarker for the esophageal epithelial barrier. CSTA regulates the barrier and is influenced by tacrolimus (FK506). Analyzing biopsy samples by proteomics, we identified CSTA as an esophageal epithelial biomarker. Knocking down CSTA reduced responsiveness to triamcinolone acetonide (TA) and lowered expression of proteins related to cell-cell junctions and barrier function during inflammation. These findings suggest that down-regulate CSTA weakens tight junctions and the esophageal barrier, leading to strictures. Notably, FK506 showed promise in rescuing CSTA-knockdown cells by increasing the expression of proteins related to cell-cell junctions and barrier function. This highlights FK506 as a potential therapy for esophageal strictures in patients with CSTA mutations.

Matching journals

The top 12 journals account for 50% of the predicted probability mass.

1
eLife
● 5828 papers in training set
Top 3%
18.6%
Similar papers in this journal
2
PLOS ONE
● 5266 papers in training set
Top 32%
4.1%
Similar papers in this journal
3
Cell Discovery
○ 57 papers in training set
Top 0.2%
4.1%
Similar papers in this journal
4
Clinical and Translational Medicine
○ 31 papers in training set
Top 0.1%
3.5%
Similar papers in this journal
5
International Journal of Molecular Sciences
○ 494 papers in training set
Top 4%
3.2%
Similar papers in this journal
6
International Journal of Biological Macromolecules
○ 76 papers in training set
Top 0.4%
3.2%
7
Scientific Reports
○ 3612 papers in training set
Top 36%
2.8%
8
Genomics, Proteomics & Bioinformatics
188 papers in training set
Top 0.8%
2.5%
9
Cells
○ 249 papers in training set
Top 2%
2.4%
10
Journal of Molecular Cell Biology
◐ 22 papers in training set
Top 0.1%
2.1%
11
Journal of Investigative Dermatology
○ 49 papers in training set
Top 0.3%
1.7%
12
Cell Death Discovery
○ 58 papers in training set
Top 0.6%
1.7%
50% of probability mass above
13
The FASEB Journal
○ 194 papers in training set
Top 3%
1.7%
14
Journal of Genetics and Genomics
○ 38 papers in training set
Top 0.3%
1.5%
15
Cancer Medicine
○ 26 papers in training set
Top 0.6%
1.5%
16
Cell Death & Disease
147 papers in training set
Top 2%
1.5%
17
Stem Cell Research & Therapy
○ 30 papers in training set
Top 0.4%
1.4%
18
Frontiers in Pharmacology
○ 111 papers in training set
Top 2%
1.3%
19
ACS Omega
● 105 papers in training set
Top 2%
1.1%
20
Computers in Biology and Medicine
○ 128 papers in training set
Top 3%
1.1%
21
Neuroscience Bulletin
○ 12 papers in training set
Top 0.1%
1.1%
22
Heliyon
○ 152 papers in training set
Top 5%
1.1%
23
Biomolecules
○ 100 papers in training set
Top 2%
1.1%
24
iScience
○ 1154 papers in training set
Top 29%
1.1%
25
BioMed Research International
○ 28 papers in training set
Top 2%
1.0%
26
Acta Biochimica et Biophysica Sinica
● 23 papers in training set
Top 0.4%
1.0%
27
Frontiers in Cell and Developmental Biology
○ 233 papers in training set
Top 4%
1.0%
28
Cell Structure and Function
● 11 papers in training set
Top 0.1%
0.9%
29
Biology Open
● 156 papers in training set
Top 4%
0.9%
30
Aging
○ 75 papers in training set
Top 2%
0.9%

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.