Evidence mapPaperPMID 40314699Full record

ArticleAmino acids2025

Metabolomic analysis reveals key changes in amino acid metabolism in colorectal cancer patients.

Asmaa Ramzy, Taghreed Khaled Abdelmoneim, Menna Arafat, Maha Mokhtar, Ashraf Bakkar, Amany Mokhtar, Wagida Anwar, Sameh Magdeldin, Shymaa Enany

Abstract read
In one paragraph

Article in Amino acids, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
field-weighted citation impact
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

6 citing papers in PubMed.

  1. Article
  2. Integrated UHPLC-QTOF-MSJournal of computer-aided molecular design · 2026
    Article
  3. Article
  4. Colorectal neoplasia-specific amino acid profiles and their diagnostic potential: a systematic review.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Review
  5. Article
  6. A Pilot Metabolomic Study for DiagnosingInternational journal of molecular sciences · 2025
    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

9 authors.

Asmaa Ramzy *Proteomics and Metabolomics Research Program, Basic Research Unit, Research Department, Children's Cancer Hospital Egypt, Cairo, 57357, Egypt.
Taghreed Khaled Abdelmoneim *Proteomics and Metabolomics Research Program, Basic Research Unit, Research Department, Children's Cancer Hospital Egypt, Cairo, 57357, Egypt.
Menna ArafatFaculty of Medicine, Mansoura University, Mansoura, Egypt.
Maha MokhtarProteomics and Metabolomics Research Program, Basic Research Unit, Research Department, Children's Cancer Hospital Egypt, Cairo, 57357, Egypt.
Ashraf BakkarFaculty of Biotechnology, October for Modern Sciences and Arts, Giza, Egypt.
Amany MokhtarBiomedical Research Department, Armed Force College of Medicine (AFCM), Cairo, Egypt.
Wagida AnwarBiomedical Research Department, Armed Force College of Medicine (AFCM), Cairo, Egypt.
Sameh MagdeldinProteomics and Metabolomics Research Program, Basic Research Unit, Research Department, Children's Cancer Hospital Egypt, Cairo, 57357, Egypt.
Shymaa EnanyBiomedical Research Department, Armed Force College of Medicine (AFCM), Cairo, Egypt. shymaa21@yahoo.com.

Funding

The work presented here is funded by the Armed Force College of Medicine, Cairo, Egypt, and it is partially supported by Science, Technology & Innovation Funding Authority (STDF) under grant (AI 42547). (AI 42547)
6 · The paper itself

Abstract

The number of colorectal cancer (CRC) patients is steadily growing worldwide, particularly in developing nations. Nonetheless, recent advances in early detection studies and therapy alternatives have reduced CRC mortality in affluent countries, despite rising incidence. Gut microbiota and their metabolites may contribute to tumor growth and reduced therapeutic efficacy. This preliminary study sought to uncover metabolic fingerprints in colorectal cancer patients. It also emphasizes the correlation between the gut microbiome, microbial metabolism, and altered metabolites in CRC. In this study, stool samples from 20 CRC patients and matched healthy controls were enrolled. Untargeted metabolomics approach based on an ultra-high-performance liquid chromatography high-resolution mass spectrometry (UHPLC-MS/MS) were applied. Statistical approaches, pathway enrichment analysis, and network analysis were employed to unleash CRC perturbed metabolic pathways and putative biomarkers. The study identified a distinct manually curated metabolite profile that is substantially linked to CRC. The steroidogenesis, aspartate, tryptophan (Trp), and urea cycle were the most significant pathways that concurrently contributed to CRC.Prominently, among other pathways, Trp metabolism was identified as a critical pathway, indicating a possible connection between the development of CRC and gut microbiota. In a nutshell the notable resulted metabolites reveal auspicious biomarkers for the initial diagnosis as well as surveilling of CRC progression. This preliminary study highlights the potential involvement that gut bacteria may contribute in CRC patients. Further investigation into the composition of the gut microbiome associated with this metabolic profile may lead to the identification of novel biomarkers for early detection and possible targets for treatment.

Indexed as

Amino AcidsColorectal NeoplasmsMetabolomicsAgedBiomarkers, TumorCase-Control StudiesChromatography, High Pressure LiquidFecesFemaleGastrointestinal MicrobiomeHumansMaleMetabolic Networks and PathwaysMetabolomeMiddle AgedTandem Mass SpectrometryAmino AcidsBiomarkers, TumorColorectal cancerGut microbiotaLC–MSMetabolomicsMicrobial tryptophan metabolism

Identifiers

PMID40314699
PMCPMC12048468

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.