Quantum Molecular Resonance Inhibits NLRP3 Inflammasome/Nitrosative Stress and Promotes M1 to M2 Macrophage Polarization: Potential Therapeutic Effect in Osteoarthritis Model In Vitro

Paolucci, Teresa; Pino, Vanessa; Elsallabi, Osama; Gallorini, M.; Pozzato, Gianantonio; Pozzato, Alessandro; Lanuti, Paola; Reis, Víctor Machado; Pesce, Mirko; Pantalone, Andrea; Buda, Roberto; Patruno, Antonia

doi:10.3390/antiox12071358

Cited by 3 publications

(3 citation statements)

References 41 publications

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“…Concurrently, QMR notably decreased NLRP3 levels and activated caspase-1 protein expression, leading to a downregulation of IL-18 and IL-1β protein expression and secretion. Moreover, our research suggests that QMR treatment prompts a shift in macrophage polarization from the M1 to the M2 phenotype in vitro [ 16 , 30 ].…”

Section: Discussionmentioning

confidence: 99%

“…From the above, in this study we hypothesize that the treatment with QMR found in vitro [ 16 ] could, in vivo, translate into a reduction in pain in patients with symptomatic KOA due to its anti-inflammatory and regenerative action; there are no studies on this subject in the literature.…”

Section: Introductionmentioning

confidence: 96%

“…In in vitro experiments carried out in our laboratory, we found that Quantum Molecular Resonance (QMR) leads to the reduction of proinflammatory mediators and nitrosative stress by inhibiting the expression of COX-2 and iNOS proteins and reducing NF-κB activity and peroxynitrite levels [ 16 ].…”

Section: Introductionmentioning

confidence: 99%

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Management and Rehabilitative Treatment in Osteoarthritis with a Novel Physical Therapy Approach: A Randomized Control Study

Paolucci,

Tommasi,

Pozzato

et al. 2024

Diagnostics

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Knee osteoarthritis (KOA) is a chronic degenerative disease characterized by progressive joint damage leading to significant disability. Although rehabilitative treatment methods for KOA have been widely implemented, the optimal integrated instrumental physical therapy approach remains unclear. Therefore, this study aimed to analyze the effect of Quantum Molecular Resonance (QMR) on pain reduction as the primary outcome and the functional improvement in activity daily living (ADL) as a secondary outcome. The study was designed as a double-blind, randomized, controlled trial in an outpatient setting. Fifty-four (N = 54) patients were enrolled and then randomized into three groups according to a simple randomization list: Group 1 (intensive protocol, N = 22), Group 2 (extensive protocol, N = 21), and a Sham group (N = 11). Patients were evaluated over time with scales assessing pain and function. Treatment was performed with the QMR model electro-medical device, which generates alternating electric currents characterized by high frequency (4–64 MHz). The results showed that QMR had a positive effect with respect to the Sham group in terms of pain and function (p < 0.01), and intensive treatment was more effective than the extensive treatment in terms of “speed of response” to the treatment (p < 0.05). In conclusion, QMR in KOA could be effective in slowing the progression of clinical symptoms and improving patients’ pain and functionality and thus quality of life. Future studies will be necessary to investigate further treatment algorithms and therapeutic associations with rehabilitative exercise.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 96%

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Management and Rehabilitative Treatment in Osteoarthritis with a Novel Physical Therapy Approach: A Randomized Control Study

Paolucci,

Tommasi,

Pozzato

et al. 2024

Diagnostics

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Energy‐Based Device Management of Nodular Reaction Following Poly‐D, L‐Lactic Acid Injection for Tear Trough Rejuvenation

Seo,

Wan,

2024

J of Cosmetic Dermatology

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BackgroundPoly‐D,L‐lactic acid (PDLLA) is used for tear trough rejuvenation but can cause complications like nodular reactions. This report describes using a radiofrequency device to manage these nodules.Case PresentationA 42‐year‐old woman developed firm, non‐inflammatory nodules 3 weeks after receiving PDLLA (Juvelook) injections in the tear trough area. The nodules were firm and not associated with erythema or tenderness.InterventionThe monopolar radiofrequency device was used directly on the nodules with 150 shots at an energy level 115 J, 28.75 J/cm². The treatment resulted in complete resolution of the nodules within 24 hours.ResultsThe radiofrequency treatment effectively resolved the nodular reaction without recurrence, highlighting the device's compatibility with the unique structure of Juvelook's PDLLA.ConclusionRadiofrequency therapy is effective for managing nodular reactions following PDLLA injections. Further research is needed to optimise protocols and improve the safety of biostimulator treatments in cosmetic procedures.

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Identification of immune microenvironment subtypes and clinical risk biomarkers for osteoarthritis based on a machine learning model

Li,

Shen,

Liu

et al. 2024

Front. Mol. Biosci.

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BackgroundOsteoarthritis (OA) is a degenerative disease with a high incidence worldwide. Most affected patients do not exhibit obvious discomfort symptoms or imaging findings until OA progresses, leading to irreversible destruction of articular cartilage and bone. Therefore, developing new diagnostic biomarkers that can reflect articular cartilage injury is crucial for the early diagnosis of OA. This study aims to explore biomarkers related to the immune microenvironment of OA, providing a new research direction for the early diagnosis and identification of risk factors for OA.MethodsWe screened and downloaded relevant data from the Gene Expression Omnibus (GEO) database, and the immune microenvironment-related genes (Imr-DEGs) were identified using the ImmPort data set by combining weighted coexpression analysis (WGCNA). Functional enrichment of GO and Kyoto Encyclopedia of Genes and Genomes (KEGG) were conducted to explore the correlation of Imr-DEGs. A random forest machine learning model was constructed to analyze the characteristic genes of OA, and the diagnostic significance was determined by the Receiver Operating Characteristic Curve (ROC) curve, with external datasets used to verify the diagnostic ability. Different immune subtypes of OA were identified by unsupervised clustering, and the function of these subtypes was analyzed by gene set enrichment analysis (GSVA). The Drug-Gene Interaction Database was used to explore the relationship between characteristic genes and drugs.ResultsSingle sample gene set enrichment analysis (ssGSEA) revealed that 16 of 28 immune cell subsets in the dataset significantly differed between OA and normal groups. There were 26 Imr-DEGs identified by WGCNA, showing that functional enrichment was related to immune response. Using the random forest machine learning model algorithm, nine characteristic genes were obtained: BLNK (AUC = 0.809), CCL18 (AUC = 0.692), CD74 (AUC = 0.794), CSF1R (AUC = 0.835), RAC2 (AUC = 0.792), INSR (AUC = 0.765), IL11 (AUC = 0.662), IL18 (AUC = 0.699), and TLR7 (AUC = 0.807). A nomogram was constructed to predict the occurrence and development of OA, and the calibration curve confirmed the accuracy of these 9 genes in OA diagnosis.ConclusionThis study identified characteristic genes related to the immune microenvironment in OA, providing new insight into the risk factors of OA.

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Quantum Molecular Resonance Inhibits NLRP3 Inflammasome/Nitrosative Stress and Promotes M1 to M2 Macrophage Polarization: Potential Therapeutic Effect in Osteoarthritis Model In Vitro

Cited by 3 publications

References 41 publications

Management and Rehabilitative Treatment in Osteoarthritis with a Novel Physical Therapy Approach: A Randomized Control Study

Management and Rehabilitative Treatment in Osteoarthritis with a Novel Physical Therapy Approach: A Randomized Control Study

Energy‐Based Device Management of Nodular Reaction Following Poly‐D, L‐Lactic Acid Injection for Tear Trough Rejuvenation

Identification of immune microenvironment subtypes and clinical risk biomarkers for osteoarthritis based on a machine learning model

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