# Personalizing Nutritional Therapy in Pediatric Oncology: The Role of Gut Microbiome Profiling and Metabolomics in Mitigating Mucositis and Enhancing Immune Response to Chemotherapy

**Authors:** Piotr Pawłowski, Natalia Zaj, Kamil Iwaniszczuk, Izabela Grzelka, Wojciech Makuch, Emilia Samardakiewicz-Kirol, Aneta Kościołek, Marzena Samardakiewicz

PMC · DOI: 10.3390/children13020293 · 2026-02-20

## TL;DR

This review explores how gut microbiome and metabolomics can help personalize nutrition for children with cancer to reduce chemotherapy side effects and improve immune response.

## Contribution

The paper highlights the potential of gut microbiome profiling and metabolomics for developing personalized nutritional therapies in pediatric oncology.

## Key findings

- Pediatric cancer treatments reduce microbial diversity and increase harmful bacteria like Proteobacteria.
- Low levels of short-chain fatty acids predict severe mucositis and sepsis risk in children undergoing chemotherapy.
- Targeted nutritional interventions may restore gut health and reduce treatment toxicity.

## Abstract

Introduction: Intensive chemotherapy protocols and hematopoietic stem cell transplantation (HSCT) in children with cancer frequently lead to severe complications, such as mucositis and immune dysfunction. A growing body of evidence indicates that these complications are closely associated with the patient’s nutritional status and the composition of the gut microbiome, which becomes profoundly destabilized as a result of cytotoxic therapy and antibiotic use. Background: The aim of this review is to critically evaluate the current state of knowledge on the interplay between gut dysbiosis, metabolomic profiles—with particular emphasis on short-chain fatty acids (SCFAs)—and treatment-related toxicity in pediatric patients, as well as to delineate pathways toward personalized nutritional therapy. Methods: A narrative review was conducted, including clinical and preclinical studies published between January 2015 and October 2025. PubMed/MEDLINE, Embase, Cochrane Library, and other databases were searched, focusing on changes in microbiome composition, correlations between gut-derived metabolites and the severity of complications (sepsis, graft-versus-host disease [GvHD], mucositis), and the effects of targeted nutritional interventions (probiotics, prebiotics, postbiotics, and fecal microbiota transplantation [FMT]) on microbiome modulation during anticancer therapy. Results: The analysis demonstrates that pediatric oncologic treatment leads to a marked reduction in microbial diversity, including the loss of protective Clostridiales taxa (e.g., Faecalibacterium), accompanied by an overgrowth of Proteobacteria pathobionts. Metabolomic profiling indicates that low SCFA levels (e.g., butyrate < 20–50 µmol/g) are a strong predictor of severe mucositis, prolonged neutropenia, and an increased risk of sepsis. Interventions aimed at restoring eubiosis and enhancing SCFA production show potential in strengthening the intestinal barrier, modulating immune responses, and enabling maintenance of the planned relative dose intensity (RDI) of chemotherapy by reducing treatment-related toxicity. Conclusions: Gut microbiome profiling and fecal metabolomics represent promising prognostic tools in pediatric oncology. There is an urgent need for further research employing “omics”-based approaches to develop precise, individually tailored nutritional protocols. Such strategies, including postbiotics and FMT, may minimize treatment-related adverse effects and improve long-term clinical outcomes in pediatric patients.

## Linked entities

- **Chemicals:** butyrate (PubChem CID 104775)
- **Diseases:** mucositis (MONDO:0020579), graft-versus-host disease (MONDO:0013730), cancer (MONDO:0004992)
- **Species:** Faecalibacterium (taxon 216851)

## Full-text entities

- **Genes:** CXCL8 (C-X-C motif chemokine ligand 8) [NCBI Gene 3576] {aka GCP-1, GCP1, IL8, LECT, LUCT, LYNAP}, NFKB1 (nuclear factor kappa B subunit 1) [NCBI Gene 4790] {aka CVID12, EBP-1, KBF1, NF-kB, NF-kB1, NF-kappa-B1}, FOXP3 (forkhead box P3) [NCBI Gene 50943] {aka AIID, DIETER, IPEX, JM2, PIDX, XPID}, CASP3 (caspase 3) [NCBI Gene 836] {aka CPP32, CPP32B, SCA-1}, CCL5 (C-C motif chemokine ligand 5) [NCBI Gene 6352] {aka D17S136E, RANTES, SCYA5, SIS-delta, SISd, TCP228}, TLR2 (toll like receptor 2) [NCBI Gene 7097] {aka CD282, TIL4}, TLR4 (toll like receptor 4) [NCBI Gene 7099] {aka ARMD10, CD284, TLR-4, TOLL}, CSF3 (colony stimulating factor 3) [NCBI Gene 1440] {aka C17orf33, CSF3OS, GCSF}, OCLN (occludin) [NCBI Gene 100506658] {aka BLCPMG, PPP1R115, PTORCH1}, TNF (tumor necrosis factor) [NCBI Gene 7124] {aka DIF, IMD127, TNF-alpha, TNFA, TNFSF2, TNLG1F}, CXCL1 (C-X-C motif chemokine ligand 1) [NCBI Gene 2919] {aka FSP, GRO1, GROa, MGSA, MGSA-a, NAP-3}, IL1B (interleukin 1 beta) [NCBI Gene 3553] {aka IL-1, IL1-BETA, IL1F2, IL1beta}, TJP1 (tight junction protein 1) [NCBI Gene 7082] {aka ZO-1}, CRP (C-reactive protein) [NCBI Gene 1401] {aka PTX1}, IL6 (interleukin 6) [NCBI Gene 3569] {aka BSF-2, BSF2, CDF, HGF, HSF, IFN-beta-2}, CLDN1 (claudin 1) [NCBI Gene 9076] {aka CLD1, ILVASC, SEMP1}, HDAC9 (histone deacetylase 9) [NCBI Gene 9734] {aka HD7, HD7b, HD9, HDAC, HDAC7B, HDAC9B}, GUSB (glucuronidase beta) [NCBI Gene 2990] {aka BG, MPS7}
- **Diseases:** nausea (MESH:D009325), obesity (MESH:D009765), fatigue (MESH:D005221), diarrhea (MESH:D003967), carcinogenesis (MESH:D063646), AML (MESH:D015470), metabolic disorders (MESH:D008659), Hematological malignancies (MESH:D019337), neutropenic fever (MESH:D005334), enterocolitis (MESH:D004760), dysplastic (MESH:D004416), vomiting (MESH:D014839), injury (MESH:D014947), Intestinal Inflammation (MESH:D007249), gastrointestinal symptoms (MESH:D012817), MDR (MESH:D018088), Gut dysbiosis (MESH:D064806), diabetes (MESH:D003920), Cancer (MESH:D009369), intestinal cancer (MESH:D007414), neutropenic (MESH:D044504), anorexia (MESH:D000855), GvHD (MESH:D006086), bacterial infections (MESH:D001424), musculoskeletal problems (MESH:D009140), abdominal distension (MESH:D000007), kidney dysfunction (MESH:D007674), Mucositis (MESH:D052016), adipose tissue loss (MESH:D018205), gastrointestinal cancers (MESH:D005770), systemic (MESH:D015619), oncologic (MESH:D000072716), IMD (MESH:D007410), chronic diseases (MESH:D002908), BSI (MESH:D018805), infectious complications (MESH:D003141), CDI (MESH:D003015), liver metastases (MESH:D009362), hematologic (MESH:D006402), carcinogenic (MESH:D011230), neutropenia (MESH:D009503), leukemia (MESH:D007938), T-cell acute lymphocytic leukemia (MESH:D054218), cardiovascular diseases (MESH:D002318), endocrinopathies (MESH:C567425), infection (MESH:D007239), bacteremia (MESH:D016470), immune dysfunction (MESH:D007154), ischemic heart disease (MESH:D017202), GI (gastrointestinal) adverse effects (MESH:D005767), ALL (MESH:D054198), immune, metabolic, and psychological disorders (MESH:D000067073), Toxicity (MESH:D064420)
- **Chemicals:** 2'-fucosyllactose (MESH:C031420), meropenem (MESH:D000077731), inulin (MESH:D007444), irinotecan (MESH:D000077146), colibactin (MESH:C569566), FOS (MESH:C116580), ATP (MESH:D000255), cefixime (MESH:D020682), Prebiotics (MESH:D056692), steroid (MESH:D013256), acetate (MESH:D000085), SCFA (MESH:D005232), folate (MESH:D005492), ETBF (-), Butyrate (MESH:D002087), propionate (MESH:D011422)
- **Species:** Pseudomonadota (proteobacteria, phylum) [taxon 1224], Ovis aries (domestic sheep, species) [taxon 9940], Enterococcus (genus) [taxon 1350], Klebsiella (genus) [taxon 570], Clostridia (class) [taxon 186801], Allium sativum (garlic, species) [taxon 4682], Faecalibacterium (genus) [taxon 216851], Escherichia coli (E. coli, species) [taxon 562], Mus musculus (house mouse, species) [taxon 10090], Lacticaseibacillus rhamnosus (species) [taxon 47715], Lacticaseibacillus rhamnosus GG (strain) [taxon 568703], Enterobacteriaceae (enterobacteria, family) [taxon 543], Streptococcus thermophilus (species) [taxon 1308], Staphylococcus xylosus (species) [taxon 1288], Allium cepa (onion, species) [taxon 4679], Eubacteriales (order) [taxon 186802], gut metagenome (species) [taxon 749906], Lactiplantibacillus plantarum (species) [taxon 1590], Blautia (genus) [taxon 572511], Leptospira sp. AB (species) [taxon 103236], Bifidobacterium (genus) [taxon 1678], Homo sapiens (human, species) [taxon 9606], Faecalibacterium prausnitzii (species) [taxon 853]
- **Cell lines:** MCF-7 — Homo sapiens (Human), Invasive breast carcinoma of no special type, Cancer cell line (CVCL_0031), U937 — Homo sapiens (Human), Adult acute monocytic leukemia, Cancer cell line (CVCL_0007), HL-60 — Homo sapiens (Human), Adult acute myeloid leukemia with maturation, Cancer cell line (CVCL_0002), THP-1 — Homo sapiens (Human), Childhood acute monocytic leukemia, Cancer cell line (CVCL_0006)

## Figures

1 figure with captions in the complete paper: https://tomesphere.com/paper/PMC12939457/full.md

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Source: https://tomesphere.com/paper/PMC12939457