Tiziana PIETRANGELO

Professor

University of Chieti-Pescara
Country flagItaly

Research Interests

Explore related searches

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

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.

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2021

Year:

2021

Year:

2021

Year:

2021

Year:

2020

Collaborators (18)

Andrea Garolla

University of Padova

ITALY
View details

Simona Daniele

University of Pisa

ITALY
View details

Letizia GIAMPIETRO

Associate Professor

University of Chieti-Pescara

ITALY
View details

Xuanhong Cheng

-

UNITED STATES
View details

Fabio Di Francesco

Associate professor

University of Pisa

ITALY
View details

Stefania Fulle

Professore Ordinario

University “G. d’Annunzio” of Chieti-Pescara

ITALY
View details

Gianni Sagratini

Invited Professor

University of Valencia

SPAIN
View details

Ferdinando Franzoni

University of Pisa

ITALY
View details

Edyta Kinel

Medical University

POLAND
View details

Vittore Verratti

University “G. d’Annunzio” of Chieti-Pescara

ITALY
View details

Tereza Jandova

Charles University

CZECH REPUBLIC
View details

Anna Maria Aloisi

University of Siena

ITALY
View details

Niccolo Pini

University of Perugia

ITALY
View details

Ester Sara Di Filippo

University “G. d’Annunzio” of Chieti-Pescara

ITALY
View details

Marco Farina

Marche Polytechnic University

ITALY
View details

Angelo CICHELLI

FULL PROF

University of Chieti-Pescara

ITALY
View details

Cristian D’Ovidio

University of Chieti-Pescara

ITALY
View details

Tommaso Lomonaco

University of Pisa

ITALY
View details
ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.