Mattia Di Iorio

ORCID: 0009-0003-6899-7900
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About
Contact & Profiles
Research Areas
  • Fault Detection and Control Systems
  • Renal function and acid-base balance
  • Neutrophil, Myeloperoxidase and Oxidative Mechanisms
  • Potassium and Related Disorders
  • Blood Pressure and Hypertension Studies
  • Diet and metabolism studies
  • Water Quality Monitoring Technologies
  • Nutritional Studies and Diet
  • Low-power high-performance VLSI design
  • Natural Antidiabetic Agents Studies
  • Parathyroid Disorders and Treatments
  • Radiation Effects in Electronics
  • VLSI and Analog Circuit Testing
  • Sepsis Diagnosis and Treatment
  • Advanced Glycation End Products research
  • Clinical Nutrition and Gastroenterology
  • Water Quality Monitoring and Analysis
  • Data Stream Mining Techniques
  • Metabolism and Genetic Disorders
  • Water Systems and Optimization
  • Magnesium in Health and Disease

Ospedale Antonio Cardarelli
2019

Abstract Background Metabolic acidosis is associated with accelerated progression of chronic kidney disease (CKD). Whether treatment metabolic sodium bicarbonate improves and patient survival in CKD unclear. Methods We conducted a randomized (ratio 1:1). open-label, controlled trial (NCT number: NCT01640119. www.clinicaltrials.gov ) to determine the effect patients stage 3–5 (SB) on creatinine doubling (primary endpoint), all-cause mortality time renal replacement therapy compared standard...

10.1007/s40620-019-00656-5 article EN cc-by Journal of Nephrology 2019-10-09

In chronic kidney disease (CKD), the gut-microbiota metabolites indoxyl sulfate (IS) and p-cresyl (PCS) progressively accumulate due to their high albumin-binding capacity, leading clinical complications. a prospective crossover controlled trial, 60 patients with CKD grades 3B–4 (GFR = 21.6 ± 13.2 mL/min) were randomly assigned two dietary regimens: (i) 3 months of free diet (FD) (FD is usually used by patient before being enrolled in Medika study), 6 very low protein (VLPD), FD...

10.3390/jcm8091424 article EN Journal of Clinical Medicine 2019-09-10

Modern wastewater treatment plants base their biological processes on advanced control systems which ensure compliance with discharge limits and minimize energy consumption responding to information from on-line probes. The correct readings of probes are particularly crucial for intermittent aeration controllers, rely real-time measurements ammonia oxygen in tanks. These data also an important resource developing artificial intelligence algorithms that can identify process or sensor...

10.1016/j.jenvman.2023.118594 article EN cc-by-nc-nd Journal of Environmental Management 2023-07-18

Background: The perturbation of phosphate homeostasis portends unfavorable outcomes in chronic kidney disease (CKD). However, the absence randomized clinical trials (RCT) fuels discussion whether or some other phosphorous-related factor(s) such as fibroblast growth factor 23 (FGF-23) mediates cardiovascular and systemic toxicity. We herein test fractional excretion (FeP) a marker renal stress to excrete phosphorous predicts CKD patients. Methods: Retrospective, cross-sectional observational...

10.3390/jcm8071026 article EN Journal of Clinical Medicine 2019-07-12

Diabetic nephropathy (DN) is the primary cause of end-stage renal disease, worldwide, and oxidative stress has been recognized as a key factor in pathogenesis progression DN. Nicotinamide adenine dinucleotide phosphate (NADPH) oxidase most important contribution to reactive oxygen species generation during development Bioactive compound use emerged potential approach reduce chronic failure. Therefore, red orange lemon extract (RLE) rich anthocyanins was chosen our study, toxic effects DN...

10.3390/jcm9051600 article EN Journal of Clinical Medicine 2020-05-25

The increasing use of intermittent aeration controllers in wastewater treatment plants (WWTPs) aims to reduce costs via continuous ammonia and oxygen measurements but faces challenges detecting sensor process anomalies. Applying machine learning this unbalanced, multivariate, multiclass classification challenge requires much data, difficult obtain from a new plant. This study develops algorithm identify anomalies WWTPs, adaptable with limited data. Utilizing active learning, the method...

10.2166/wst.2024.387 article EN cc-by Water Science & Technology 2024-11-27
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