Castellini (Italy)

Background/Objectives: Periodontitis and diabetes mellitus share a well-established bidirectional relationship, where hyperglycemia exacerbates periodontal inflammation, and periodontal disease further impairs glycemic control. Within the diabetic periodontal microenvironment, an imbalance between pro-inflammatory (M1) and anti-inflammatory (M2) macrophages promotes chronic inflammation, oxidative stress, delayed healing, and alveolar bone resorption. Resveratrol (RSV), a polyphenol with antioxidant, anti-inflammatory, and pro-osteogenic properties, holds potential to restore macrophage balance. However, its clinical application is limited by poor bioavailability and instability. This study aimed to develop and evaluate a novel RSV delivery system to overcome these limitations and promote periodontal tissue regeneration under diabetic conditions. Methods: A drug delivery system comprising RSV-loaded solid lipid nanoparticles embedded within a cross-linked hyaluronic acid hydrogel (RSV@CLgel) was formulated. The system was tested under hyperglycemic and inflammatory conditions for its effects on macrophage polarization, cytokine expression, oxidative stress, mitochondrial function, and osteoblast differentiation. Results: RSV@CLgel effectively suppressed pro-inflammatory cytokines (TNF-α, IL-1β, IL-6) while upregulating anti-inflammatory markers (IL-10, TGF-β). It significantly reduced oxidative stress by decreasing ROS and lipid peroxidation levels and improved mitochondrial function and antioxidant enzyme activity. Furthermore, RSV@CLgel enhanced osteoblast differentiation, as evidenced by increased ALP activity, calcium nodule formation, and upregulation of osteogenic genes (COL-I, RUNX2, OCN, OPN). It also inhibited RANKL-induced osteoclastogenesis, contributing to alveolar bone preservation. Conclusions: The RSV@CLgel delivery system presents a promising multifunctional strategy for the management of diabetic periodontitis. By modulating immune responses, reducing oxidative stress, and promoting periodontal tissue regeneration, RSV@CLgel addresses key pathological aspects of diabetes-associated periodontal disease.

Abstract Background: Enumeration of CTCs in blood samples with the CELLSEARCH® system is a prognostic biomarker in metastatic breast, prostate and colorectal cancer (full intended use documents.cellsearchctc.com). Currently, the final CTC identification is performed by human reviewers through visual assessment, which is a time-consuming procedure that could be affected by subjective interpretations. Modern Artificial Intelligence (AI) methods can provide a solution by automating the process of CTC identification, thus eliminating subjectivity and producing faster and more reproducible results. We have recently presented an automated algorithm (for research use only) based on deep learning models for cell segmentation and classification which allows the automated identification of CTCs in CELLSEARCH® fluorescent images (Ansaloni et al., EACR 2022). The purpose of this study was to assess inter-rater variability among human reviewers and to compare the AI performance against them. Methods: Blood samples derived from metastatic cancer patients were processed with CELLTRACKS® AUTOPREP®. The AI algorithm was trained on fluorescent images of 7255 CTCs and 32876 non-CTC events (training set) acquired by CELLTRACKS ANALYZER II® (CTAII) from 90 breast, 122 prostate and 54 colorectal cancer samples. 10 human reviewers, qualified for CTC image analysis, performed blind labeling of a separate dataset independently (test set: 55 samples taken from 27 breast and 28 prostate cancer). We studied inter-rater agreement and variability using Fleiss Kappa and Coefficient of Variation (CV). The labels provided by 5 experienced reviewers (average experience ≅ 15 years) were used to generate the ground truth (GT) by majority voting. The CTC detection performance of the AI was ranked against the other 5 reviewers (average experience ≅ 5 years). Results: In the test dataset, 2990 out of 9554 events were identified as CTCs by the GT review on CTAII images. In the task of classifying each event as CTC or non-CTC, the inter-rater agreement among the 10 human reviewers measured by Fleiss Kappa was 0.85. These classification results provided the number of CTCs per patient counted by each reviewer. The inter-rater variability on the CTC enumeration among the 10 reviewers was evaluated for each sample (median CV = 17.9% and interquartile range = 17.6% , excluding 27 samples with mode = 0 CTC). Measured against the GT classification, the AI performance (accuracy = 94.7%; F1 = 91.6%) was at the top of the human reviewers’ ranking (accuracy = 92.4 - 93.6 - 93.8 - 94.0 - 95.8%; F1 = 86.8 - 89.2 - 89.2 - 89.5 - 93.1%). Conclusion: The AI algorithm reached top-ranking performance in CTC identification, surpassing 4 out of 5 expert reviewers. These results show the applicability of AI to cell classification to remove human subjectivity from the review process and to maximize standardization among different research centers. Citation Format: Luca Biasiolli, Pietro Ansaloni, Nicolò Gentili, Ramona Miserendino, Chiara Rossi, Giulio Signorini, Gianni Medoro. Deep learning for circulating tumor cell (CTC) identification with the CELLSEARCH system: achieving top human-level performance [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 3373.

Although osteoarthritis (OA) is a chronic inflammatory degenerative disease affecting millions of people worldwide, the current therapies are limited to palliative care and do not eliminate the necessity of surgical intervention in the most severe cases. Several dietary and nutraceutical factors, such as hydroxytyrosol (Hyt), have demonstrated beneficial effects in the prevention or treatment of OA both in vitro and in animal models. However, the therapeutic application of Hyt is limited due to its poor bioavailability following oral administration. In the present study, a localized drug delivery platform containing a combination of Hyt-loading chitosan nanoparticles (Hyt-NPs) and in situ forming hydrogel have been developed to obtain the benefits of both hydrogels and nanoparticles. This thermosensitive formulation, based on Pluronic F-127 (F-127), hyaluronic acid (HA) and Hyt-NPs (called Hyt@tgel) presents the unique ability to be injected in a minimally invasive way into a target region as a freely flowing solution at room temperature forming a gel at body temperature. The Hyt@tgel system showed reduced oxidative and inflammatory effects in the chondrocyte cellular model as well as a reduction in senescent cells after induction with H2O2. In addition, Hyt@tgel influenced chondrocytes gene expression under pathological state maintaining their metabolic activity and limiting the expression of critical OA-related genes in human chondrocytes treated with stressors promoting OA-like features. Hence, it can be concluded that the formulated hydrogel injection could be proposed for the efficient and sustained Hyt delivery for OA treatment. The next step would be the extraction of “added-value” bioactive polyphenols from by-products of the olive industry, in order to develop a green delivery system able not only to enhance the human wellbeing but also to promote a sustainable environment.

InAs nanowires are emerging as go-to materials in avariety of applications ranging from optoelectronics to nano-electronics, yet a consensus on their mechanical properties is stilllacking. The mechanical properties of wurtzite InAs nanowires arehere investigated via a multitechnique approach, exploitingelectron microscopies, ultrafast photoacoustics, andfinite elementsimulations. A benchmarked elastic matrix is provided and a Youngmodulus of 97 GPa is obtained, thus clarifying the debated issue ofInAs NW elastic properties. The validity of the analyticalapproaches and approximations commonly adopted to retrievethe elastic properties from ultrafast spectroscopies is discussed.The mechanism triggering the oscillations is unveiled. Nanowireoscillations in this system arise from a sudden expansion of the supporting substrate rather than the nanowire itself. This mechanismconstitutes a new paradigm, being at variance with respect to the excitation mechanisms so far identified in ultrafast experiments onnanowires and on a plethora of nanosystems. The presentfindings are relevant in view of applications involving InAs nanowires,knowledge of their mechanical properties being crucial for any device engineering beyond a trial-and-error approach. The resultsbear generality beyond the specific case, the launching mechanism potentially encompassing a variety of systems serving as nano-optomechanical resonators.

The management of periodontitis remains a vital clinical challenge due to the interplay between the microorganisms of the dental biofilm and the host inflammatory response leading to a degenerative process in the surrounding tissues. Quercetin (QUE), a natural flavonol found in many foods, including apples, onions and tea, has exhibited prolonged and strong antibiofilm and anti-inflammatory effects both in vitro and in vivo. However, its clinical application is limited by its poor stability and water solubility, as well as its low bioavailability. Thus, in the present study, electrospun polylactic acid (PLA) nanofibers loaded with different amounts (5–10% w/w) of QUE were produced to rapidly respond to the acidic microenvironment typical of periodontal pockets during periodontal disease. This strategy demonstrated that PLA-QUE membranes can act as a drug reservoir releasing high QUE concentrations in the presence of oral bacterial infection (pH < 5.5), and thus limiting Pseudomonas aeruginosa PAO1 and Streptococcus mutans biofilm maturation. In addition, released QUE exerts antioxidant and anti-inflammatory effects on P. gingivalis Lipopolysaccharide (LPS)-stimulated human gingival fibroblast (HGFs). The reported results confirmed that PLA-QUE membranes could inhibit subgingival biofilm maturation while reducing interleukin release, thereby limiting host inflammatory response. Overall, this study provided an effective pH-sensitive drug delivery system as a promising strategy for treating periodontitis.

To date, compost maturation monitoring is carried out by physical-chemical and microbiological analysis, which could be considered an overweening consumption of time and products. Nowadays, spectroscopy is chosen as a simple tool for monitoring compost maturity. In the present investigation, spectroscopy analysis was performed in the interest of corroborating the compost maturity. This goal was achieved by using the X-ray diffraction, infrared spectroscopy, and scanning electron microscopy. X-ray diffraction analysis showed the presence of the cellulose fraction in compost samples. At the same time, the intensity of pics decreased depending on composting time, thus proving that there was organic matter degradation. Infrared and scanning electron microscopy analysis allow for confirming these results. The correlation between spectroscopies analysis and physical-chemical properties was employed by partial least squares-regression (PLS-R) model. PLS-R model was applied to build a model to predict the compost quality depending on the composting time, the results obtained show that all the parameters analysis are well predicted. The current study proposed that final compost was more stabilized compared with the initial feedstock mixture. Ultimately, spectroscopy techniques used allowed us to confirm the physical-chemical results obtained, and both of them depict maturity and stability of the final compost, thus proving that spectral techniques are more reliable, fast, and promising than physical-chemical analyses.

Wound healing refers to the replacement of damaged tissue through strongly coordinated cellular events. The patient’s condition and different types of wounds complicate the already intricate healing process. Conventional wound dressing materials seem to be insufficient to facilitate and support this mechanism. Nanotechnology could provide the physicochemical properties and specific biological responses needed to promote the healing process. For nanoparticulate dressing design, growing interest has focused on natural biopolymers due to their biocompatibility and good adaptability to technological needs. Polysaccharides are the most common natural biopolymers used for wound-healing materials. In particular, alginate and chitosan polymers exhibit intrinsic antibacterial and anti-inflammatory effects, useful for guaranteeing efficient treatment. Recent studies highlight that several natural plant-derived molecules can influence healing stages. In particular, essential oils show excellent antibacterial, antifungal, antioxidant, and anti-inflammatory properties that can be amplified by combining them with nanotechnological strategies. This review summarizes recent studies concerning essential oils as active secondary compounds in polysaccharide-based wound dressings.

The seeds of Ammodaucus leucotrichus Cosson and Durieu have been used in the North African Sahara as a traditional medicine to treat diabetes. The present study investigates the antidiabetic, antihyperglycemic, and anti-inflammatory properties of the defatted hydroethanolic extract of Ammodaucus leucotrichus (DHEAM). The antidiabetic and the antihyperglycemic studies were assessed on alloxan-induced diabetic with orally administered doses of DHEAM (100 and 200 mg/kg). At the same time, its anti-inflammatory propriety was evaluated by measuring edema development in the Wistar rats paw induced with carrageenan. Treatment of diabetic mice with DHEAM for four weeks managed their high fasting blood glucose levels, improved their overall health, and also revealed an excellent antihyperglycemic activity. Following the anti-inflammatory results, DHEAM exhibited a perfect activity. HPLC results revealed the presence of seven molecules (chlorogenic acid, 3-p-coumaroylquinic acid, gallic acid, ferulic acid, myricetin, quercetin, luteolin). This work indicates that the DHEAM has an important antidiabetic, antihyperglycemic, and anti-inflammatory effect that can be well established as a phytomedicine to treat diabetes.