Evidence map›Paper›PMID 37574481›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2023

Assays with Patient-Derived Organoids to Evaluate the Impact of Microbial Infection on Base Excision Repair (BER) Enzymes.

Ibrahim M Sayed, Anirban Chakraborty, Soumita Das

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.8field-weighted citation impact, top 30% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 2 countries.

Ibrahim M SayedDepartment of Medical Microbiology and Immunology, Faculty of Medicine, Assiut University, Asyut, Egypt.
Anirban ChakrabortyDepartment of Internal Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, University of Texas Medical Branch, Galveston, TX, USA.
Soumita DasDepartment of Pathology, School of Medicine, University of California San Diego, San Diego, CA, USA. sodas@health.ucsd.edu.
University of California San Diego · USThe University of Texas Medical Branch at Galveston · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbes play an important role in regulating cellular responses and the induction of chronic diseases. Infection and chronic inflammation can cause DNA damage, and the accumulation of mutations leads to cancer development. The well-known examples of cancer-associated microbes are Helicobacter pylori in gastric cancer and Fusobacterium nucleatum (Fn), Bacteroides fragilis, and E.coli NC101 in colorectal cancer (CRC). These carcinopathogens modify the expressions of the base excision repair enzymes and cause DNA damage. This chapter will show how Fn can initiate CRC through the downregulation of a critical enzyme of the base excision repair (BER) pathway that subsequently causes accumulation of DNA damage. We used the stem cell-based organoid model and enteroid-derived monolayer (EDM) from the murine and human colon to assess the impact of infection on the expression of BER enzymes on the transcriptional and translational levels and to develop other functional assays. For example, we used this EDM model to assess the inflammatory response, DNA damage response, and physiological responses, where we correlated the level of these parameters to BER enzyme levels.

Indexed as

DNA RepairNeoplasmsAnimalsDNA DamageHumansMiceMutationOrganoidsBase excision repair (BER)Colorectal cancer (CRC)Enteroid-derived monolayer (EDM)Fusobacterium nucleatum (Fn)Organoid

Identifiers

PMID37574481
OpenAlexW4385790093

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.