Partial least squares path modeling (PLS-PM) has become very popular in recent years, for measuring concepts that depend on different aspects and that are based on different types of relationships. PLS-PM represents a useful tool to explore relationships and to analyze the influence of the different aspects on the complex phenomenon analyzed. In particular, the use of higher-order constructs has allowed researchers to extend the application of PLS-PM to more advanced and complex models. In this work, our attention is focused on higher-order constructs that include reflective or formative relationships. Even if the dispute between formative models and reflective models is not exactly recent, it is still alive in current literature, for the most part within the context of structural equation models. This paper focuses attention on theoretical and mathematical differences between formative and reflective measurement models within the context of the PLS-PM approach. A simulation study is proposed in order to show how these approaches fit well in different modeling situations. The approaches have been compared using empirical application in a sustainability context. The findings from the simulation and the empirical application can help researchers to estimate and to use the higher-order PLS-PM approach in reflective and formative type models.

Microglia, the resident macrophage-like population in the central nervous system, play a crucial role in the pathogenesis of many neurodegenerative disorders by triggering an inflammatory response that leads to neuronal death. Neuroprotective compounds to treat or prevent neurodegenerative diseases are a new field of study in modern medicine. Microglia are activated in response to inflammatory stimuli. The pathogenesis of various neurodegenerative diseases is closely related to the constant activation of microglia due to their fundamental role as a mediator of inflammation in the brain environment. α-Tocopherol, also known as vitamin E, is reported to possess potent neuroprotective effects. The goal of this study was to investigate the biological effects of vitamin E on BV2 microglial cells, as a possible neuroprotective and anti-inflammatory agent, following stimulation with lipopolysaccharide (LPS). The results showed that the pre-incubation of microglia with α-tocopherol can guarantee neuroprotective effects during microglial activation induced by LPS. α-Tocopherol preserved the branched morphology typical of microglia in a physiological state. It also reduced the migratory capacity; the production of pro-inflammatory and anti-inflammatory cytokines such as TNF-α and IL-10; and the activation of receptors such as TRL4 and CD40, which modulate the PI3K-Akt signaling pathway. The results of this study require further insights and research, but they present new scenarios for the application of vitamin E as an antioxidant for the purpose of greater neuroprotection in vivo for the prevention of possible neurodegenerative diseases.

Extracellular vesicles (EVs) represent a heterogeneous group of membranous structures derived from cells that are released by all cell types, including brain cells. EVs are now thought to be an additional mechanism of intercellular communication. Both under normal circumstances and following the addition of proinflammatory stimuli, microglia release EVs, but the contents of these two types of EVs are different. Microglia are considered the brain-resident immune cells that are involved in immune surveillance and inflammatory responses in the central nervous system. In this research, we have analyzed the effects of EVs isolated from microglia in response to LPS (Lipopolysaccharide) on microglia activation. The EVs produced as result of LPS stimulation, knows as EVs-LPS, were then used as stimuli on microglia BV2 resting cells in order to investigate their ability to induce microglia to polarize towards an inflammatory state. After EVs-LPS stimulation, we analyzed the change to BV2 cells’ morphology, proliferation, and migration, and investigated the expression and the release of pro-inflammatory cytokines. The encouraging findings of this study showed that EVs-LPS can activate microglia in a manner similar to that of LPS alone and that EVs derived from control cells cannot polarize microglia towards a pro-inflammatory state. This study has confirmed the critical role of EVs in communication and shown how EVs produced in an inflammatory environment can exacerbate the inflammatory process by activating microglia, which may have an impact on all brain cells.

Neurodegenerative diseases (NDs) such as Alzheimer’s disease (AD) and Parkinson’s disease (PD) represent a growing global health concern with no definitive cure. Increasing evidence suggests that mind–body practices like yoga may offer neuroprotective benefits by modulating stress, neuroinflammation, and neuroplasticity. This narrative review explores the clinical outcomes, mechanistic insights, and biomarker evidence supporting yoga as a therapeutic intervention for AD and PD. Different studies indicate that regular yoga improves motor and cognitive functions, mood, and quality of life in affected individuals. At the molecular level, yoga enhances neurotrophic factors such as brain-derived neurotrophic factor (BDNF), reduces pro-inflammatory cytokines (e.g., IL-6, TNF-α), mitigates oxidative stress, and may preserve gray matter volume in key brain regions. These findings support the hypothesis that yoga induces favorable neuroplastic adaptations that may slow neurodegeneration. Despite encouraging early results, heterogeneity in study design, intervention duration, and sample size issues have limited the incorporation of neuroimaging and biomarker endpoints, which means further studies are warranted to clarify yoga’s therapeutic potential and mechanism in ND management.

Tourism plays a vital role not only as an economic driver but also in promoting environmental awareness, preserving cultural heritage, and fostering social interaction. Despite its potential to support traditional economies and enhance local quality of life, tourism often suffers from unsustainable practices, particularly in areas experiencing high seasonal pressure and lacking adequate planning. To address this gap, this study investigates the interaction between tourism and territorial sustainability at the municipal level in the Apulia region (Southern Italy), an area where tourism development is spatially uneven and under-researched. Using the DBSCAN (Density-Based Spatial Clustering of Applications with Noise) algorithm, we analyze a set of sustainability and tourism-related indicators to identify spatial clusters of municipalities with similar performance. The results reveal distinct clusters of high-performing municipalities in terms of both tourism activity and sustainability, offering valuable insights for targeted regional planning and policymaking.