Immune cell labelling and tracking. implications for adoptive cell transfer therapies

BACKGROUND: The understanding of the role of different immune cell subsets that infiltrate tumors can help researchers in developing new targeted immunotherapies to reactivate or reprogram them against cancer. In addition to conventional drugs, new cell-based therapies, like adoptive cell transfer, proved to be successful in humans. Indeed, after the approval of anti-CD19 CAR-T cell therapy, researchers are trying to extend this approach to other cancer or cell types.MAIN BODY: This review focuses on the different approaches to non-invasively monitor the biodistribution, trafficking and fate of immune therapeutic cells, evaluating their efficacy at preclinical and clinical stages. PubMed and Scopus databases were searched for published articles on the imaging of cell tracking in humans and preclinical models.CONCLUSION: Labelling specific immune cell subtypes with specific radiopharmaceuticals, contrast agents or optical probes can elucidate new biological mechanisms or predict therapeutic outcome of adoptive cell transfer therapies. To date, no technique is considered the gold standard to image immune cells in adoptive cell transfer therapies

Carbon Black Functionalized with Naturally Occurring Compounds in Water Phase for Electrochemical Sensing of Antioxidant Compounds

A new sustainable route to nanodispersed and functionalized carbon black in water phase (W-CB) is proposed. The sonochemical strategy exploits ultrasounds to disaggregate the CB, while two selected functional naturally derived compounds, sodium cholate (SC) and rosmarinic acid (RA), act as stabilizing agents ensuring dispersibility in water adhering onto the CB nanoparticles' surface. Strategically, the CB-RA compound is used to drive the AuNPs self-assembling at room temperature, resulting in a CB surface that is nanodecorated; further, this is achieved without the need for additional reagents. Electrochemical sensors based on the proposed nanomaterials are realized and characterized both morphologically and electrochemically. The W-CBs' electroanalytical potential is proved in the anodic and cathodic window using caffeic acid (CF) and hydroquinone (HQ), two antioxidant compounds that are significant for food and the environment. For both antioxidants, repeatable (RSD <= 3.3%; n = 10) and reproducible (RSD <= 3.8%; n = 3) electroanalysis results were obtained, achieving nanomolar detection limits (CF: 29 nM; HQ: 44 nM). CF and HQ are successfully determined in food and environmental samples (recoveries 97-113%), and also in the presence of other phenolic classes and HQ structural isomers. The water dispersibility of the proposed materials can be an opportunity for (bio) sensor fabrication and sustainable device realization

Metal Nanoparticles on Board of Low-Cost Devices for Optical Sensing

Nowadays nanomaterials (NMs) have become consolidated building blocks for (bio)sensors and (bio)sensing strategies development. In this contest, the metal nanoparticles (MNPs) offer infinite opportunities since their nano-domain provides unique chemical, physical, electrical, and optical features; the most captivating MNPs’ property is the localized surface plasmon resonance (LSPR), which allows them to interact with the electromagnetic radiation, giving rise to typical absorption spectra and naked eye visible colors. Taking advantage of the aforementioned features MNPs have been extensively exploited in the development of optical and colorimetric point-of-need devices. Herein, device equipped with plasmonic-active thin films of MNPs (gold/Au and silver/Ag nanoparticles/NPs) are presented, suitable for opto-analytical applications. The nanoarchitecture fabrication has been achieved onto ELISA plates. The nano-film was tested as a plasmonic transducer in ELISA plate to evaluate the oxidants capacity of sodium hypochlorite, sodium nitrite, ABTS, H2O2, AAPH, DPPH, and ferrous sulfate which are of biological and biochemical interests. Further, life-time studies of the proposed nanoarchitecture were carefully performed with the aim to evaluate the storability of the nano-equipped ELISA plates

A machine learning approach to uncover nicotinamide and other antioxidants as novel markers for chicken meat quality assessment

This study analyses various chicken cuts (breast, leg, and thigh) in terms of ten biocompounds: nicotinamide, anserine, carnosine, malondialdehyde, and biogenic amines (putrescine, cadaverine, histamine, tyramine, spermidine, and spermine). The analysis is conducted on refrigerated chicken meat cuts using three different packaging solutions: modified atmosphere packaging (MAP), vacuum skin packaging (SKIN), and permeable O2 plastic film (STRETCH). Our results show that nicotinamide was the most discriminant compound followed for cuts and time. Remarkably, its concentration decreases over time, unaffected by any of the packaging solutions. The collective contribution of all the examined biocompounds is highlighted through multivariate statistical analysis, utilizing partial least square discriminant analysis (PLS-DA) and the support vector machine (SVM) algorithm. Both machine learning models demonstrate high classification accuracy: for cut, storage time, and packaging, PLS-DA yields classification accuracy rates of 87%, 85%, and 70%, respectively. SVM achieves even higher accuracy rates of 97%, 99%, and 94% for cut, storage time, and packaging, respectively. These results underscore the importance of considering the combined influence of all the biocompounds investigated in this study for a finer classification of chicken meat cuts and packaging. Furthermore, our findings highlight the efficacy of SVM as a discriminant multivariate approach in food classification

Biogenic Amines and other unconventional indexes as new markers of qualitative decay in packaged chicken meat

Ricerca sulla qualità e stabilità di carni di pollo in diversi incarti, confronto di diversi indici chimici per la rilevazione dei cambiamenti qualitativi e ossidativ

Nanofibrillar biochar from industrial waste as hosting network for transition metal dichalcogenides. Novel sustainable 1D/2D nanocomposites for electrochemical sensing

Industrial wastes have become elective sustainable sources to obtain materials for electronic/electroanalytical purposes; on the other hand, easy and green strategies to include semiconductor 2D graphene-like materials in conductive networks are highly required. In this work, 1D/2D nanocomposites (NCs) based on nanofibrillar biochar (BH) from paper industry waste and transition metal dichalcogenides (TMDs: MoS2, WS2, MoSe2, and WSe2), were prepared in water via liquid phase exfoliation (LPE) using sodium cholate as bioderived surfactant. The TMD amount in the NCs has been carefully optimized, searching for the best compromise between electron transfer ability and electroanalytical performances. Four different water-dispersed BH-TMD NCs have been selected and comprehensively studied from the electrochemical point of view and morphologically characterized. The BH-TMDs potentiality have been demonstrated in model solutions and real samples towards different analytes of biological and agri-food interest. The most performing NCs have been selected and used for the simultaneous determination of the neurotransmitters dopamine (DP) and serotonin (SR), and the flavonoids quercetin (QR) and rutin (RT), obtaining good linearity (R2 ≥ 0.9956) with limits of detection ranging from 10 to 200 nM. Reproducible quantitative recovery values (90–112%, RSD ≤6%, n = 3) were obtained analyzing simultaneously DP and SR in synthetic biological fluid and drugs, and QR and RT in food supplements, proving the usability of the proposed materials for real analyses. This work proves that BH-nanofibers act as a sustainable conductive hosting network for 2D-TMDs, allowing full exploit their electroanalytical potential. The proposed BH-TMD NCs represent a sustainable, affordable, and captivating opportunity for the electrochemical and (bio)sensoristic field