Antonio Malvaso

Dr. Antonio Malvaso

orcid

Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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12 December 2023 in Cells
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Journal Article
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AMAntonio Malvaso
Antonio Malvaso
AGAlberto Gatti
Alberto Gatti
GNGiulia Negro
Giulia Negro
CCChiara Calatozzolo
Chiara Calatozzolo
VMValentina Medici
Valentina Medici
TPTino Emanuele Poloni
Tino Emanuele Poloni
The greatest risk factor for neurodegeneration is the aging of the multiple cell types of human CNS, among which microglia are important because they are the “sentinels” of internal and external perturbations and have long lifespans. We aim to emphasize microglial signatures in physiologic brain aging and Alzheimer’s disease (AD). A systematic literature search of all published articles about microglial senescence in human healthy aging and AD was performed, searching for PubMed and Scopus online databases. Among 1947 articles screened, a total of 289 articles were assessed for full-text eligibility. Microglial transcriptomic, phenotypic, and neuropathological profiles were analyzed comprising healthy aging and AD. Our review highlights that studies on animal models only partially clarify what happens in humans. Human and mice microglia are hugely heterogeneous. Like a two-sided coin, microglia can be protective or harmful, depending on the context. Brain health depends upon a balance between the actions and reactions of microglia maintaining brain homeostasis in cooperation with other cell types (especially astrocytes and oligodendrocytes). During aging, accumulating oxidative stress and mitochondrial dysfunction weaken microglia leading to dystrophic/senescent, otherwise over-reactive, phenotype-enhancing neurodegenerative phenomena. Microglia are crucial for managing Aβ, pTAU, and damaged synapses, being pivotal in AD pathogenesis.

26 May 2023 in Behavioral Sciences
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Journal Article
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WKWeixi Kang
Weixi Kang
AMAntonio Malvaso
Antonio Malvaso
Although studies have widely explored the connections between personality traits and job satisfaction, less is known about how personality relates to aspects of job satisfaction. The objective of this study was to explore the relationships between personality traits and various areas of job satisfaction, including pay, work, security, and hours worked. This study used ordinal regressions to analyze data from 6962 working individuals from the British Household Panel Survey (BHPS). The results showed that Neuroticism consistently has a negative association with all aspects of job satisfaction, whereas Agreeableness and Conscientiousness have positive associations with job satisfaction. Extraversion had a weak negative association with satisfaction with total pay. These findings imply that personality may play a crucial role in shaping areas of job satisfaction.

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EPErsilia Paparazzo
Ersilia Paparazzo
VLVincenzo Lagani
Vincenzo Lagani
SGSilvana Geracitano
Silvana Geracitano
LCLuigi Citrigno
Luigi Citrigno
MAMirella Aurora Aceto
Mirella Aurora Aceto
AMAlberto Montesanto
Alberto Montesanto
The prediction of chronological age from methylation-based biomarkers represents one of the most promising applications in the field of forensic sciences. Age-prediction models developed so far are not easily applicable for forensic caseworkers. Among the several attempts to pursue this objective, the formulation of single-locus models might represent a good strategy. The present work aimed to develop an accurate single-locus model for age prediction exploiting ELOVL2, a gene for which epigenetic alterations are most highly correlated with age. We carried out a systematic review of different published pyrosequencing datasets in which methylation of the ELOVL2 promoter was analysed to formulate age prediction models. Nine of these, with available datasets involving 2298 participants, were selected. We found that irrespective of which model was adopted, a very strong relationship between ELOVL2 methylation levels and age exists. In particular, the model giving the best age-prediction accuracy was the gradient boosting regressor with a prediction error of about 5.5 years. The findings reported here strongly support the use of ELOVL2 for the formulation of a single-locus epigenetic model, but the inclusion of additional, non-redundant markers is a fundamental requirement to apply a molecular model to forensic applications with more robust results.

28 May 2022 in Antibiotics
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Journal Article
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FBFrancesco Bruno
Francesco Bruno
AMAntonio Malvaso
Antonio Malvaso
SCSonia Canterini
Sonia Canterini
ABAmalia Cecilia Bruni
Amalia Cecilia Bruni
Alzheimer’s disease (AD) represents the most frequent type of dementia in elderly people. There are two major forms of the disease: sporadic (SAD)—whose causes are not completely understood—and familial (FAD)—with clear autosomal dominant inheritance. The two main hallmarks of AD are extracellular deposits of amyloid-beta (Aβ) peptide and intracellular deposits of the hyperphosphorylated form of the tau protein (P-tau). An ever-growing body of research supports the infectious hypothesis of sporadic forms of AD. Indeed, it has been documented that some pathogens, such as herpesviruses and certain bacterial species, are commonly present in AD patients, prompting recent clinical research to focus on the characterization of antimicrobial peptides (AMPs) in this pathology. The literature also demonstrates that Aβ can be considered itself as an AMP; thus, representing a type of innate immune defense peptide that protects the host against a variety of pathogens. Beyond Aβ, other proteins with antimicrobial activity, such as lactoferrin, defensins, cystatins, thymosin β4, LL37, histatin 1, and statherin have been shown to be involved in AD. Here, we summarized and discussed these findings and explored the diagnostic and therapeutic potential of AMPs in AD.

27 October 2022 in Current Oncology
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FBFrancesco Bruno
Francesco Bruno
DADomenico Arcuri
Domenico Arcuri
FVFrancesca Vozzo
Francesca Vozzo
AMAntonio Malvaso
Antonio Malvaso
AMAlberto Montesanto
Alberto Montesanto
RMRaffaele Maletta
Raffaele Maletta
Breast cancer represents the most common type of cancer and is the leading cause of death due to cancer among women. Thus, the prevention and early diagnosis of breast cancer is of primary urgency, as well as the development of new treatments able to improve its prognosis. Nerve Growth Factor (NGF) is a neurotrophic factor involved in the regulation of neuronal functions through the binding of the Tropomyosin receptor kinase A (TrkA) and the Nerve Growth Factor receptor or Pan-Neurotrophin Receptor 75 (NGFR/p75NTR). In addition, its precursor (pro-NGF) can extert biological activity by forming a trimeric complex with NGFR/p75NTR and sortilin, or by binding to TrkA receptors with low affinity. Several examples of in vitro and in vivo evidence show that NGF is both synthesized and released by breast cancer cells, and has mitogen, antiapoptotic and angiogenic effects on these cells through the activation of different signaling cascades that involve TrkA and NGFR/p75NTR receptors. Conversely, pro-NGF signaling has been related to breast cancer invasion and metastasis. Other studies suggested that NGF and its receptors could represent a good diagnostic and prognostic tool, as well as promising therapeutic targets for breast cancer. In this paper, we comprehensively summarize and systematically review the current experimental evidence on this topic. INPLASY ID: INPLASY2022100017.

4 June 2023 in Healthcare
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WKWeixi Kang
Weixi Kang
AMAntonio Malvaso
Antonio Malvaso
Objective: The objective of the present study is to examine the association between Big Five personality traits and self-rated health (SRH) among individuals with coronary heart disease (CHD), and to compare this relationship with that of healthy control participants, which is of importance as SRH can be a determinant of outcomes. Methods: The current study used data from 566 participants with CHD with a mean age of 63.00 (S.D. = 15.23) years old (61.13% males) and 8608 age- and sex-matched healthy controls with a mean age of 63.87 (S.D.= 9.60) years old (61.93% males) from the UKHLS. The current study used predictive normative modelling approaches, one-sample t tests, a hierarchical regression, and two multiple regressions. Results: The current study found that CHD patients have significantly lower Conscientiousness (t(565) = −3.84, p < 0.001, 95% C.I. [−0.28, −0.09], Cohen’s d = −0.16) and SRH (t(565) = −13.83, p < 0.001, 95% C.I. [−0.68, −0.51], and Cohen’s d = −0.58) scores compared to age and sex-matched healthy controls. Moreover, health status (controls vs. CHD patients) moderated the links between Neuroticism, Extraversion and SRH. Specifically, Neuroticism (b = −0.03, p < 0.01, 95% C.I. [−0.04, −0.01]), Openness (b = 0.04, p < 0.001, 95% C.I. [0.02, 0.06]), and Conscientiousness (b = 0.08, p < 0.001, 95% C.I. [0.06, 0.10]) were significant predictors of SRH in healthy controls, whereas Conscientiousness (b = 0.08, p < 0.05, 95% C.I. [0.01, 0.16]) and Extraversion (b = −0.09, p < 0.01, 95% C.I. [−0.15, −0.02]) were significant predictors of SRH in CHD patients. Conclusion: Based on the close associations between personality traits and SRH, and the subsequent impact on patient outcomes, the results of this study should be taken into consideration by clinicians and health professionals when developing tailored treatment and intervention programs for their patients.