Tiziana PIETRANGELO
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Articles (14)
Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a demanding medical condition for patients and society. It has raised much more public awareness after the COVID‐19 pandemic since ME/CFS and long‐COVID patients share many clinical symptoms such as debilitating chronic fatigue. However, unlike long COVID, the etiopathology of ME/CFS remains a mystery despite several decades' research. This review moves from pathophysiology of ME/CFS through the compelling evidence and most interesting hypotheses. It focuses on the pathophysiology of skeletal muscle by proposing the hypothesis that skeletal muscle tissue offers novel opportunities for diagnosis and treatment of this syndrome and that new evidence can help resolve the long‐standing debate on terminology.
Year:
2024
Death is a multifaceted process wherein each individual cell and tissue has a metabolic homeostasis and a time of functional cessation defined by the dying process as well as by intrinsic and extrinsic factors. Decomposition is physiologically associated with the release of different types of volatile organic compounds (VOCs), and these form volaboloma mortis. The main purpose of this study was to record the volabolomic fingerprint produced by volatile molecules during the physiological decomposition process of human tissue and muscle cells. The volatile chemical signature has important implications for an open issue in forensics and pathology, namely the estimation of the postmortem interval (PMI), which decreases in accuracy with the passage of time. Volatile metabolites emitted from human tissues and muscle cells at 0, 24, 48, and 72 h were recorded in real time with an electronic nose sensor device. The key findings were the continuous sampling of VOCs emitted from tissues and cells. These showed a common behavior as time progressed; particularly, after 48 h the distributions became dispersed, and after 72 h they became more variable. Volabolomic fingerprinting associated with time progression relevant to the study of PMIs was reconstructed. Additionally, there may be broader applications, such as in dog training procedures for detecting human remains, and perhaps even for studying scavenger and insect attractants.
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2024
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2024
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2023
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2023
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2022
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2022
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2022
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2022
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2021
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2021
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2021
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2021
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2020
Collaborators (18)
Andrea Garolla
University of Padova
Simona Daniele
University of Pisa
Letizia GIAMPIETRO
Associate Professor
University of Chieti-Pescara
Xuanhong Cheng
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Fabio Di Francesco
Associate professor
University of Pisa
Stefania Fulle
Professore Ordinario
University “G. d’Annunzio” of Chieti-Pescara
Gianni Sagratini
Invited Professor
University of Valencia
Ferdinando Franzoni
University of Pisa
Edyta Kinel
Medical University
Vittore Verratti
University “G. d’Annunzio” of Chieti-Pescara
Tereza Jandova
Charles University
Anna Maria Aloisi
University of Siena
Niccolo Pini
University of Perugia
Ester Sara Di Filippo
University “G. d’Annunzio” of Chieti-Pescara
Marco Farina
Marche Polytechnic University
Angelo CICHELLI
FULL PROF
University of Chieti-Pescara
Cristian D’Ovidio
University of Chieti-Pescara
Tommaso Lomonaco
University of Pisa
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