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Article: The great need to overcome osimertinib resistance in advanced non-small cell lung cancer: from combination strategies to fourth-generation tyrosine kinase inhibitors.

Bronte, Giuseppe / Belloni, Alessia / Calabrò, Luana / Crinò, Lucio

2024 Volume 13, Page(s) 1308460

Language	English
Publishing date	2024-01-09
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2649216-7
ISSN	2234-943X
ISSN	2234-943X
DOI	10.3389/fonc.2023.1308460
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: The economics of prevention.

Ferguson, B / Belloni, A

Public health

2019 Volume 169, Page(s) 149–150

Language	English
Publishing date	2019-04-11
Publishing country	Netherlands
Document type	Editorial
ZDB-ID	427333-3
ISSN	1476-5616 ; 0033-3506
ISSN (online)	1476-5616
ISSN	0033-3506
DOI	10.1016/j.puhe.2019.03.009
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Article ; Online: New insights on collagen structural organization and spatial distribution around dental implants: a comparison between machined and laser-treated surfaces.

Belloni, Alessia / Argentieri, Giulio / Orilisi, Giulia / Notarstefano, Valentina / Giorgini, Elisabetta / D'Addazio, Gianmaria / Orsini, Giovanna / Caputi, Sergio / Sinjari, Bruna

Journal of translational medicine

2024 Volume 22, Issue 1, Page(s) 120

Abstract: Background: One of the main factors for the osseointegration of dental implants is the development of an adequate soft tissue barrier, mainly composed by collagen, which protects the implant from bacterial development. The structural features of the ... ...

Abstract	Background: One of the main factors for the osseointegration of dental implants is the development of an adequate soft tissue barrier, mainly composed by collagen, which protects the implant from bacterial development. The structural features of the peri-implant collagen are influenced by the implant components and, in particular, by the type of the surface. In the clinical practice, healing abutments are characterized by smooth surfaces, named machined. Recently, a new laser technique, Synthegra, has been developed to obtain a topography-controlled surface with micrometric regular pores that seems reducing the risk of peri-implantitis. Based on this background, this study aims investigating the structural organization and spatial distribution of collagen surrounding healing abutments characterized by laser-treated and machined surfaces. Methods: Gingiva portions surrounding custom-made healing abutments (HA), characterized by alternated laser-treated and machined surfaces, were collected and analyzed by combining Fourier Transform InfraRed Imaging (FTIRI) spectroscopy, a non-invasive and high-resolution bidimensional analytical technique, with histological and multivariate analyses. Results: Masson's trichrome staining, specific for collagen, highlighted a massive presence of collagen in all the analyzed samples, evidencing a surface-related spatial distribution. The nature of collagen, investigated by the FTIRI spectroscopy, appeared more abundant close to the laser-treated surface, with a perpendicular disposition of the bundles respect to the HA; conversely, a parallel distribution was observed around the machined surface. A different secondary structure was also found, with a higher amount of triple helices and a lower quantity of random coils in collagen close to the laser treated surfaces. Conclusions: FTIRI spectroscopy demonstrates that the use of a laser treated transmucosal surface can improve the morphological organization of the peri-implant collagen, which presents a distribution more similar to that of natural teeth. Trial registration: This trial is registered with ClinicalTrials.gov Identifier: (Registration Number: NCT05754970). Registered 06/03/2023, retrospectively registered, https://clinicaltrials.gov/show/NCT05754970 .
MeSH term(s)	Collagen ; Dental Implants ; Gingiva/pathology ; Lasers ; Osseointegration ; Surface Properties ; Humans
Chemical Substances	Collagen (9007-34-5) ; Dental Implants
Language	English
Publishing date	2024-01-31
Publishing country	England
Document type	Clinical Trial ; Journal Article
ZDB-ID	2118570-0
ISSN	1479-5876 ; 1479-5876
ISSN (online)	1479-5876
ISSN	1479-5876
DOI	10.1186/s12967-024-04906-4
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Article ; Online: The Influence of Myeloid-Derived Suppressor Cell Expansion in Neuroinflammation and Neurodegenerative Diseases.

Tamberi, Lorenza / Belloni, Alessia / Pugnaloni, Armanda / Rippo, Maria Rita / Olivieri, Fabiola / Procopio, Antonio Domenico / Bronte, Giuseppe

Cells

2024 Volume 13, Issue 7

Abstract: The neuro-immune axis has a crucial function both during physiological and pathological conditions. Among the immune cells, myeloid-derived suppressor cells (MDSCs) exert a pivotal role in regulating the immune response in many pathological conditions, ... ...

Abstract	The neuro-immune axis has a crucial function both during physiological and pathological conditions. Among the immune cells, myeloid-derived suppressor cells (MDSCs) exert a pivotal role in regulating the immune response in many pathological conditions, influencing neuroinflammation and neurodegenerative disease progression. In chronic neuroinflammation, MDSCs could lead to exacerbation of the inflammatory state and eventually participate in the impairment of cognitive functions. To have a complete overview of the role of MDSCs in neurodegenerative diseases, research on PubMed for articles using a combination of terms made with Boolean operators was performed. According to the search strategy, 80 papers were retrieved. Among these, 44 papers met the eligibility criteria. The two subtypes of MDSCs, monocytic and polymorphonuclear MDSCs, behave differently in these diseases. The initial MDSC proliferation is fundamental for attenuating inflammation in Alzheimer's disease (AD), Parkinson's disease (PD), and multiple sclerosis (MS), but not in amyotrophic lateral sclerosis (ALS), where MDSC expansion leads to exacerbation of the disease. Moreover, the accumulation of MDSC subtypes in distinct organs changes during the disease. The proliferation of MDSC subtypes occurs at different disease stages and can influence the progression of each neurodegenerative disorder differently.
MeSH term(s)	Humans ; Myeloid-Derived Suppressor Cells/pathology ; Neuroinflammatory Diseases ; Neurodegenerative Diseases/pathology ; Inflammation/pathology ; Cell Proliferation
Language	English
Publishing date	2024-04-06
Publishing country	Switzerland
Document type	Journal Article ; Review
ZDB-ID	2661518-6
ISSN	2073-4409 ; 2073-4409
ISSN (online)	2073-4409
ISSN	2073-4409
DOI	10.3390/cells13070643
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Article ; Online: FTIR Microspectroscopy as a new probe to study human uterine lesions: Characterization of tumor cell lines from uterine smooth muscle cells and evaluation of EPA and DHA in vitro treatments.

Belloni, Alessia / Notarstefano, Valentina / Greco, Stefania / Pellegrino, Pamela / Giorgini, Elisabetta / Ciarmela, Pasquapina

Biochimica et biophysica acta. Molecular basis of disease

2023 Volume 1870, Issue 1, Page(s) 166873

Abstract: During their life, women are likely to develop uterine diseases, which often compromise their fertile and perimenopausal age. Besides benign lesions like leiomyomas, several malignant neoplasms can occur, such as the uterine leiomyosarcoma, which ... ...

Abstract	During their life, women are likely to develop uterine diseases, which often compromise their fertile and perimenopausal age. Besides benign lesions like leiomyomas, several malignant neoplasms can occur, such as the uterine leiomyosarcoma, which represents the most frequent malignancy among the rarest uterine cancers. It presents several variants similar to both benign and malignant neoplasms, and sometimes it shares symptoms with the benign counterpart. In this scenario, for a correct diagnosis and a successful prognosis, it is mandatory to detect new reliable markers which strengthen histopathological outcomes and let define a more appropriate and less harmful therapy. Based on this concerning evidence, in the present study, Fourier Transform Infrared Microspectroscopy has been exploited at a cellular level on uterine leiomyoma and leiomyosarcoma cell lines to (1) identify specific spectral biomarkers able to distinguish between benign and malignant lesions, and (2) evaluate the efficacy of eicosapentaenoic and docosahexaenoic acids (respectively EPA and DHA), already successfully tested. Results evidenced reliable differences in the spectral signature of benign and malignant cells, mainly in terms of lipids and nucleic acids composition. Moreover, even if EPA and DHA seemed to exert different effects on the tested cell lines, no cytotoxic and/or anti-apoptotic actions were observed after omega-3 based treatments.
MeSH term(s)	Humans ; Female ; Leiomyosarcoma/pathology ; Spectroscopy, Fourier Transform Infrared ; Fatty Acids, Omega-3 ; Leiomyoma/drug therapy ; Leiomyoma/pathology ; Uterine Neoplasms/drug therapy ; Uterine Neoplasms/metabolism ; Uterine Neoplasms/pathology ; Myocytes, Smooth Muscle/metabolism ; Cell Line, Tumor
Chemical Substances	Fatty Acids, Omega-3
Language	English
Publishing date	2023-09-02
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	60-7
ISSN	1879-260X ; 1879-2596 ; 1872-8006 ; 1879-2642 ; 1879-2618 ; 1879-2650 ; 0006-3002 ; 0005-2728 ; 0005-2736 ; 0304-4165 ; 0167-4838 ; 1388-1981 ; 0167-4889 ; 0167-4781 ; 0304-419X ; 1570-9639 ; 0925-4439 ; 1874-9399
ISSN (online)	1879-260X ; 1879-2596 ; 1872-8006 ; 1879-2642 ; 1879-2618 ; 1879-2650
ISSN	0006-3002 ; 0005-2728 ; 0005-2736 ; 0304-4165 ; 0167-4838 ; 1388-1981 ; 0167-4889 ; 0167-4781 ; 0304-419X ; 1570-9639 ; 0925-4439 ; 1874-9399
DOI	10.1016/j.bbadis.2023.166873
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Article: High-dimensional linear models with many endogenous variables

Belloni, Alexandre / Hansen, Christian / Newey, Whitney

Journal of econometrics. 2021 June 09,

2021

Abstract: High-dimensional linear models with endogenous variables play an increasingly important role in the recent econometric literature. In this work, we allow for models with many endogenous variables and make use of many instrumental variables to achieve ... ...

Abstract	High-dimensional linear models with endogenous variables play an increasingly important role in the recent econometric literature. In this work, we allow for models with many endogenous variables and make use of many instrumental variables to achieve identification. Because of the high-dimensionality in the structural equation, constructing honest confidence regions with asymptotically correct coverage is non-trivial. Our main contribution is to propose estimators and confidence regions that achieve this goal.Our approach relies on moment conditions that satisfy the usual instrument orthogonality condition but also have an additional orthogonality property with respect to specific linear combinations of the endogenous variables which are treated as nuisance parameters. We propose new pivotal procedures for estimating the high-dimensional nuisance parameters which appear in our formulation. We use a multiplier bootstrap procedure to compute critical values and establish its validity for achieving simultaneously valid confidence regions for a potentially high-dimensional set of endogenous variable coefficients.
Keywords	econometrics ; equations ; journals ; linear models ; multipliers
Language	English
Dates of publication	2021-0609
Publishing place	Elsevier B.V.
Document type	Article
Note	Pre-press version
ZDB-ID	1460617-3
ISSN	0304-4076
ISSN	0304-4076
DOI	10.1016/j.jeconom.2021.06.011
Database	NAL-Catalogue (AGRICOLA)

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Book ; Online: Neighborhood Adaptive Estimators for Causal Inference under Network Interference

Belloni, Alexandre / Fang, Fei / Volfovsky, Alexander

2022

Abstract: Estimating causal effects has become an integral part of most applied fields. Solving these modern causal questions requires tackling violations of many classical causal assumptions. In this work we consider the violation of the classical no-interference ...

Abstract	Estimating causal effects has become an integral part of most applied fields. Solving these modern causal questions requires tackling violations of many classical causal assumptions. In this work we consider the violation of the classical no-interference assumption, meaning that the treatment of one individuals might affect the outcomes of another. To make interference tractable, we consider a known network that describes how interference may travel. However, unlike previous work in this area, the radius (and intensity) of the interference experienced by a unit is unknown and can depend on different sub-networks of those treated and untreated that are connected to this unit. We study estimators for the average direct treatment effect on the treated in such a setting. The proposed estimator builds upon a Lepski-like procedure that searches over the possible relevant radii and treatment assignment patterns. In contrast to previous work, the proposed procedure aims to approximate the relevant network interference patterns. We establish oracle inequalities and corresponding adaptive rates for the estimation of the interference function. We leverage such estimates to propose and analyze two estimators for the average direct treatment effect on the treated. We address several challenges steaming from the data-driven creation of the patterns (i.e. feature engineering) and the network dependence. In addition to rates of convergence, under mild regularity conditions, we show that one of the proposed estimators is asymptotically normal and unbiased.
Keywords	Statistics - Machine Learning ; Computer Science - Machine Learning ; Economics - Econometrics
Subject code	519
Publishing date	2022-12-07
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Social gradients in health and social care costs: Analysis of linked electronic health records in Kent, UK.

Jayatunga, W / Asaria, M / Belloni, A / George, A / Bourne, T / Sadique, Z

Public health

2019 Volume 169, Page(s) 188–194

Abstract: Objectives: Research into the socio-economic patterning of health and social care costs in the UK has so far been limited to examining only particular aspects of healthcare. In this study, we explore the social gradients in overall healthcare and social ...

Abstract	Objectives: Research into the socio-economic patterning of health and social care costs in the UK has so far been limited to examining only particular aspects of healthcare. In this study, we explore the social gradients in overall healthcare and social care costs, as well as in the disaggregated costs by cost category. Study design: We calculated the social gradient in health and social care costs by cost category using a linked electronic health record data set for Kent, a county in South East England. We performed a cross-sectional analysis on a sample of 323,401 residents in Kent older than 55 years to assess the impact of neighbourhood deprivation on mean annual per capita costs in 2016/17. Methods: Patient-level costs were estimated from activity data for the financial year 2016/17 and were extracted alongside key patient characteristics. Mean costs were calculated for each area deprivation quintile based on the index of multiple deprivation of the neighbourhood (lower super output area) in which the patient lived. Cost subcategories were analysed across primary care, secondary care, social care, community care and mental health. Results: The mean annual per capita cost increased with deprivation across each deprivation quintile, with a cost of £1205 in the most affluent quintile, compared with £1623 in the most deprived quintile, a 35% cost increase. Social gradients were found across all cost subcategories. Conclusions: Health inequalities in the population older than 55 years in Kent are associated with health and social care costs of £109m, equivalent to 15% of the estimated total expenditure in this age group. Such significant costs suggest that appropriate interventions to reduce socio-economic inequalities have the potential to substantially improve population health and, depending on how much investment they require, may even result in cost savings.
MeSH term(s)	Aged ; Cross-Sectional Studies ; Electronic Health Records ; England ; Female ; Health Care Costs/statistics & numerical data ; Health Status Disparities ; Humans ; Male ; Medical Record Linkage ; Middle Aged ; Residence Characteristics/statistics & numerical data ; Socioeconomic Factors ; State Medicine/economics
Language	English
Publishing date	2019-03-12
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	427333-3
ISSN	1476-5616 ; 0033-3506
ISSN (online)	1476-5616
ISSN	0033-3506
DOI	10.1016/j.puhe.2019.02.007
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Article: Mit Energie Wohlstand sichern - Gesprächsrunde

Belloni, Aldo

Ifo-Schnelldienst Vol. 67, No. 13 , p. 14

wie kann das magische Dreieck von Versorgungssicherheit, günstigen Energiepreisen und Verringerung der klimaschädlichen Gase erfolgreich gestaltet werden?

2014 Volume 67, Issue 13, Page(s) 14

Abstract: Aldo Belloni, Mitglied des Vorstands der Linde AG, diskutiert über mögliche Lösungsansätze. ...

Author's details	Aldo Belloni
Abstract	Aldo Belloni, Mitglied des Vorstands der Linde AG, diskutiert über mögliche Lösungsansätze.
Language	German
Publisher	Ifo-Inst
Publishing place	München
Document type	Article
ZDB-ID	2658735X
ISSN	0018-974X
Database	ECONomics Information System

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Article ; Online: The cell line models to study tyrosine kinase inhibitors in non-small cell lung cancer with mutations in the epidermal growth factor receptor: A scoping review.

Belloni, Alessia / Pugnaloni, Armanda / Rippo, Maria Rita / Di Valerio, Silvia / Giordani, Chiara / Procopio, Antonio Domenico / Bronte, Giuseppe

Critical reviews in oncology/hematology

2023 Volume 194, Page(s) 104246

Abstract: Non-Small Cell Lung Cancer (NSCLC) represents ∼85% of all lung cancers and ∼15-20% of them are characterized by mutations affecting the Epidermal Growth Factor Receptor (EGFR). For several years now, a class of tyrosine kinase inhibitors was developed, ... ...

Abstract	Non-Small Cell Lung Cancer (NSCLC) represents ∼85% of all lung cancers and ∼15-20% of them are characterized by mutations affecting the Epidermal Growth Factor Receptor (EGFR). For several years now, a class of tyrosine kinase inhibitors was developed, targeting sensitive mutations affecting the EGFR (EGFR-TKIs). To date, the main burden of the TKIs employment is due to the onset of resistance mutations. This scoping review aims to resume the current situation about the cell line models employed for the in vitro evaluation of resistance mechanisms induced by EGFR-TKIs in oncogene-addicted NSCLC. Adenocarcinoma results the most studied NSCLC histotype with the H1650, H1975, HCC827 and PC9 mutated cell lines, while Gefitinib and Osimertinib the most investigated inhibitors. Overall, data collected frame the current advancement of this topic, showing a plethora of approaches pursued to overcome the TKIs resistance, from RNA-mediated strategies to the innovative combination therapies.
MeSH term(s)	Humans ; Carcinoma, Non-Small-Cell Lung/drug therapy ; Carcinoma, Non-Small-Cell Lung/genetics ; Carcinoma, Non-Small-Cell Lung/metabolism ; Lung Neoplasms/drug therapy ; Lung Neoplasms/genetics ; Lung Neoplasms/metabolism ; Tyrosine Kinase Inhibitors ; Protein Kinase Inhibitors/pharmacology ; Protein Kinase Inhibitors/therapeutic use ; Drug Resistance, Neoplasm/genetics ; ErbB Receptors ; Cell Line, Tumor ; Mutation
Chemical Substances	Tyrosine Kinase Inhibitors ; Protein Kinase Inhibitors ; ErbB Receptors (EC 2.7.10.1)
Language	English
Publishing date	2023-12-21
Publishing country	Netherlands
Document type	Journal Article ; Review
ZDB-ID	605680-5
ISSN	1879-0461 ; 0737-9587 ; 1040-8428
ISSN (online)	1879-0461
ISSN	0737-9587 ; 1040-8428
DOI	10.1016/j.critrevonc.2023.104246
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