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"Picchi, Francesca"
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Quantifying Innovation: Intellectual Property Data as Indicators of Technology Maturity of Metal–Organic-Frameworks and Inorganic Nanoparticles
The increasing significance of intellectual property (IP) in recent decades highlights its crucial role in driving innovation and shaping competitive strategies. While many studies have attempted to evaluate the technological level of specific sectors or companies, few offer a standardized and scalable approach for cross-domain comparison. This study proposes a patent-based framework to comparatively evaluate technological maturity across different fields using a concise set of intellectual property (IP) indicators. The selected metrics, renewal trends, family size, grant rate, and citation patterns, capture legal, economic, and technological dimensions of innovation without requiring field-specific calibration. We apply this approach to two representative nanomedical technologies, Metal–Organic Frameworks (MOFs) and inorganic nanoparticles (iNPs), within the domain of cancer therapy. Our analysis highlights distinct trajectories: MOFs show increasing patent activity and sustained short-term citation growth, consistent with an emerging field; iNPs exhibit signs of stabilization and declining citation intensity, suggesting greater maturity. These findings demonstrate the utility of standardized IP indicators for mapping innovation dynamics across domains. The proposed framework offers a replicable tool for strategic technology assessment, with potential applications in research prioritization, technology forecasting, and early-stage investment analysis.
Journal Article
Towards a More Efficient Breast Cancer Therapy Using Active Human Cell Membrane-Coated Metal–Organic Frameworks
The recent description of well-defined molecular subtypes of breast cancer has led to the clinical development of a number of successful molecular targets. Particularly, triple-negative breast cancer (TNBC) is an aggressive type of breast cancer with historically poor outcomes, mainly due to the lack of effective targeted therapies. Recent progresses in materials science have demonstrated the impressive properties of metal–organic framework nanoparticles (NPs) as antitumoral drug delivery systems. Here, in a way to achieve efficient bio-interfaces with cancer cells and improve their internalization, benchmarked MIL-100(Fe) NPs were coated with cell membranes (CMs) derived from the human TNBC cell line MDA-MB-468. The prepared CMs-coated metal–organic framework (CMs_MIL-100(Fe)) showed enhanced colloidal stability, cellular uptake, and cytotoxicity in MDA-MB-468 cells compared to non-coated NPs, paving the way for these human CMs-coated MIL-100(Fe) NPs as effective targeted therapies against the challenging TNBC.
Journal Article
Neuroimaging findings in leukoencephalopathy with calcifications and cysts: case report and review of the literature
Leukoencephalopathy with cerebral calcifications and cysts (LCC) is a neurological disorder characterized by the radiological triad of white matter abnormalities, intracranial calcifications and cystic lesions variable in size resulting from a diffuse cerebral microangiopathy. Typically, progressive focal neurological deficits and seizures are the first clinical manifestation, but the severity of symptoms can vary according to the size and location of the cystic lesions holding compressive effects on the surrounding brain tissue. The most common histopathological finding is diffuse microangiopathy, which might be associated to pathogenic mutations in SNORD118 gene causing Labrune syndrome. Similar neuroradiological appearances have been found in the Coats plus syndrome, a systemic disorder caused by a genetic diffuse microangiopathy that affects not only the brain but also the retina and multiple organs, with a more complex clinical picture that address the diagnosis; biallelic mutations in CTC1 gene, encoding the conserved telomere maintenance component 1 (CTC1), are responsible of this systemic disorder. The aim of this contribution is to review the existing literature focusing on the neuroimaging characteristics by reporting cases in which radiological findings were highly suggestive for LCC.
Journal Article
Sleep Irregularity and Short Sleep Duration Are Associated with Less Favorable Cardiometabolic Profiles in Healthy Adults: A Cross-Sectional Study
: The aim of this study is to evaluate the relation between sleep quantity (TST), efficiency (SE) and regularity (SRI) and cardiometabolic parameters and eating habits.
: Seventy clinically healthy adults (74% females; mean age 28.3 ± 10.1 years) were recruited at the Clinical Nutrition Unit of Careggi University Hospital, Florence, between October 2023 and December 2024. Sleep was monitored for 7 days using a Fitbit Alta HR actigraphy. Cardiometabolic health was assessed via bioimpedance and blood samples. Dietary habits were evaluated through 3-day food diaries and the Medi-Lite questionnaire.
: Participants had an average TST of 7.4 ± 1.1 h, SE of 84.9 ± 6.9%, and SRI of 62.2 ± 19.9. Lower SRI (≤41, 1st quintile) was associated with higher fat mass (19.9 ± 6.7 vs. 15.2 ± 6.6%), higher total cholesterol (183.9 ± 20.9 vs. 155.0 ± 26.8 mg/dL), and lower folate (3.6 ± 1.6 vs. 5.6 ± 2.5 ng/mL) compared to higher SRI (≥80, 5th quintile). Sleeping <7 h/night was linked to higher BMI (22.6 ± 2.1 vs. 21.5 ± 2.0 kg/m
) and homocysteine (11.4 ± 2.3 vs. 10.4 ± 3.3 μmol/L). Weak but significant inverse correlations emerged between TST and BMI (R = -0.26,
= 0.02) and between SRI and cholesterol (R = -0.28,
= 0.01), but these associations disappeared in the multivariable linear regression adjusted model.
: These findings underscore the role of sleep duration and regularity in shaping body composition and cardiometabolic health, supporting its relevance as a modifiable public health priority.
Journal Article
Multishell diffusion MRI reveals whole‐brain white matter changes in HIV
Diffusion tensor imaging (DTI) and diffusion kurtosis imaging (DKI) have been previously used to explore white matter related to human immunodeficiency virus (HIV) infection. While DTI and DKI suffer from low specificity, the Combined Hindered and Restricted Model of Diffusion (CHARMED) provides additional microstructural specificity. We used these three models to evaluate microstructural differences between 35 HIV‐positive patients without neurological impairment and 20 healthy controls who underwent diffusion‐weighted imaging using three b ‐values. While significant group effects were found in all diffusion metrics, CHARMED and DKI analyses uncovered wider involvement (80% vs. 20%) of all white matter tracts in HIV infection compared with DTI. In restricted fraction (FR) analysis, we found significant differences in the left corticospinal tract, middle cerebellar peduncle, right inferior cerebellar peduncle, right corticospinal tract, splenium of the corpus callosum, left superior cerebellar peduncle, left superior cerebellar peduncle, pontine crossing tract, left posterior limb of the internal capsule, and left/right medial lemniscus. These are involved in language, motor, equilibrium, behavior, and proprioception, supporting the functional integration that is frequently impaired in HIV‐positivity. Additionally, we employed a machine learning algorithm (XGBoost) to discriminate HIV‐positive patients from healthy controls using DTI and CHARMED metrics on an ROIwise basis, and unique contributions to this discrimination were examined using Shapley Explanation values. The CHARMED and DKI estimates produced the best performance. Our results suggest that biophysical multishell imaging, combining additional sensitivity and built‐in specificity, provides further information about the brain microstructural changes in multimodal areas involved in attentive, emotional and memory networks often impaired in HIV patients.
Journal Article
Compressed SENSitivity Encoding (SENSE): Qualitative and Quantitative Analysis
Background. This study aimed to qualitatively and quantitatively evaluate T1-TSE, T2-TSE and 3D FLAIR sequences obtained with and without Compressed-SENSE technique by assessing the contrast (C), the contrast-to-noise ratio (CNR) and the signal-to-noise ratio (SNR). Methods. A total of 142 MRI images were acquired: 69 with Compressed-SENSE and 73 without Compressed-SENSE. All the MRI images were contoured, spatially aligned and co-registered using 3D Slicer Software. Two radiologists manually drew 12 regions of interests on three different structures of CNS: white matter (WM), grey matter (GM) and cerebrospinal fluid (CSF). Results. C values were significantly higher in Compressed-SENSE T1-TSE compared to No Compressed-SENSE T1-TSE for three different structures of the CNS. C values were also significantly lower for Compressed-SENSE 3D FLAIR and Compressed-SENSE T2-TSE compared to the corresponding No Compressed-SENSE scans. While CNR values did not significantly differ in GM-WM between Compressed-SENSE and No Compressed-SENSE for the 3D FLAIR and T1-TSE sequences, the differences in GM-CSF and WM-CSF were always statistically significant. Conclusion. Compressed-SENSE for 3D T2 FLAIR, T1w and T2w sequences enables faster MRI acquisition, reducing scan time and maintaining equivalent image quality. Compressed-SENSE is very useful in specific medical conditions where lower SAR levels are required without sacrificing the acquisition of helpful diagnostic sequences.
Journal Article
PaO2/FiO2 ratio forecasts COVID-19 patients’ outcome regardless of age: a cross-sectional, monocentric study
We studied the predictive value of the PaO2/FiO2 ratio for classifying COVID-19-positive patients who will develop severe clinical outcomes. One hundred fifty patients were recruited and categorized into two distinct populations (“A” and “B”), according to the indications given by the World Health Organization. Patients belonging the population “A” presented with mild disease not requiring oxygen support, whereas population “B” presented with a severe disease needing oxygen support. The AUC curve of PaO2/FiO2 in the discovery cohort was 0.838 (95% CI 0.771–0.908). The optimal cut-off value for distinguishing population “A” from the “B” one, calculated by Youden’s index, with sensitivity of 71.79% and specificity 85.25%, LR+4.866, LR−0.339, was < 274 mmHg. The AUC in the validation cohort of 170 patients overlapped the previous one, i.e., 0.826 (95% CI 0.760–0.891). PaO2/FiO2 ratio < 274 mmHg was a good predictive index test to forecast the development of a severe respiratory failure in SARS-CoV-2-infected patients. Moreover, our work highlights that PaO2/FiO2 ratio, compared to inflammatory scores (hs-CRP, NLR, PLR and LDH) indicated to be useful in clinical managements, results to be the most reliable parameter to identify patients who require closer respiratory monitoring and more aggressive supportive therapies. Clinical trial registration: Prognostic Score in COVID-19, prot. NCT04780373 https://clinicaltrials.gov/ct2/show/NCT04780373 (retrospectively registered).
Journal Article
Radiological imaging in multiple myeloma: review of the state-of-the-art
Purpose
Multiple myeloma is a type of blood cancer arising from the uncontrolled clonal proliferation of malignant plasma cells resulting in impaired hematopoiesis, hyper production of monoclonal protein, bone tissue destruction leading and renal system alterations up to kidney failure. The aim is to review the state-of-the-art of radiological imaging in multiple myeloma.
Methods
Radiological techniques as well as the advancements in imaging technology have been reviewed and summarized. The main radiological findings of different imaging techniques in patients suffering from multiple myeloma are also illustrated.
Results
Different radiological techniques provide structural and functional data. In the last years, conventional skeletal survey has gradually lost its utility and it has been replaced by whole body low-dose computed tomography which allows to identify also small lytic lesions, the medullary and the extramedullary involvement. Nowadays, magnetic resonance is the most sensitive imaging technique for detecting of skeletal as well as medullary involvement in patients with multiple myeloma. Thanks to the multiparametric evaluation (morphological, diffusion weighted and perfusion imaging sequences) and to the quantitative analysis, magnetic resonance imaging is proved to be useful in the early evaluation of response to therapy. Finally, positron emission tomography has greater sensibility compared to computed tomography as it provides quantitative data; however, the lower expression levels of the specific gene involved in the glycolysis pathway are associated with false-negative results with consequent underestimation of the disease.
Conclusion
The only use of the advanced combined multimodal imaging allows a better evaluation, staging and early assessment of treatment response in patients with multiple myeloma.
Journal Article