Simone Cristoni1, Luigi Rossi Bernardi2, Amir Mohammad Malvandi2, Martina Larini1, Ermanno Longhi2, Francesco Sortino3, Matteo Conti4, Nicola Pantano5, Giovanni Puccio6. 1. Ion Source & Biotechnologies (ISB) srl, Biotechnology, Bresso, Italy. 2. Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Multimedica, Biotechnology and cardiovascular medicine, Milan, Italy. 3. National Research Council (CNR), Volcanology, Palermo, Italy. 4. University Hospital of Bologna Sant'Orsola-Malpighi Polyclinic, Analytical Chemistry, Bologna, Italy. 5. Orione Center, Personalized Medicine, Palermo, Italy. 6. Emmanuele Scientific Research Association, Analytical Chemistry, Palermo, Italy.
Abstract
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.
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.
Authors: Charlotte C Capitain; Fatemeh Nejati; Martin Zischka; Markus Berzak; Stefan Junne; Peter Neubauer; Philipp Weller Journal: Metabolites Date: 2022-03-28
Authors: Jeannine S McCune; Ryotaro Nakamura; Denis O'Meally; Timothy W Randolph; Brenda M Sandmaier; Aleksandra Karolak; David Hockenbery; Sandi L Navarro Journal: Clin Transl Sci Date: 2022-02-20 Impact factor: 4.438