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A case of personalized and precision medicine: Pharmacometabolomic applications to rare cancer, microbiological investigation, and therapy
Author(s) -
Cristoni Simone,
Bernardi Luigi Rossi,
Malvandi Amir Mohammad,
Larini Martina,
Longhi Ermanno,
Sortino Francesco,
Conti Matteo,
Pantano Nicola,
Puccio Giovanni
Publication year - 2020
Publication title -
rapid communications in mass spectrometry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.528
H-Index - 136
eISSN - 1097-0231
pISSN - 0951-4198
DOI - 10.1002/rcm.8976
Subject(s) - metabolomics , immunosuppression , personalized medicine , homocysteine , chemistry , computational biology , bioinformatics , pharmacology , medicine , biology
Rationale Advances in metabolomics, together with consolidated genetic approaches, have opened the way for investigating the health of patients using a large number of molecules simultaneously, thus providing firm scientific evidence for personalized medicine and consequent interventions. Metabolomics is an ideal approach for investigating specific biochemical alterations occurring in rare clinical situations, such as those caused by rare associations between comorbidities and immunosuppression. Methods Metabolomic database matching enables clear identification of molecular factors associated with a metabolic disorder and can provide a rationale for elaborating personalized therapeutic protocols. Mass spectrometry (MS) forms the basis of metabolomics and uses mass‐to‐charge ratios for metabolite identification. Here, we used an MS–based approach to diagnose and develop treatment options in the clinical case of a patient afflicted with a rare disease further complicated by immunosuppression. The patient's data were analyzed using proprietary databases, and a personalized and efficient therapeutic protocol was consequently elaborated. Results The patient exhibited significant alterations in homocysteine:methionine and homocysteine:thiodiglycol acid plasma concentration ratios, and these were associated with low immune system function. This led to cysteine concentration deficiency causing extreme oxidative stress. Plasmatic thioglycolic acid concentrations were initially altered and were used for therapeutic follow‐up and to evaluate cysteine levels. Conclusions An MS–based pharmacometabolomics approach was used to define a personalized protocol in a clinical case of rare peritoneal carcinosis with confounding immunosuppression. This personalized protocol reduced both oxidative stress and resistance to antibiotics and antiviral drugs.