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The combined pressures of anthropogenic activities require rapid assessments of environmental impacts on ecosystems to develop strategies for sustainable management and biodiversity conservation. This study investigates the consequences of the anthropogenic effects in the upper Val d'Agri (Basilicata, Italy) by employing a multi-taxonomic analysis to investigate spatial dynamics and species responses to these pressures. By cataloguing 151 diverse species of small mammals, reptiles, birds, ground beetles, and lichens, we established a valuable baseline for analysing the local biodiversity. We assessed the relationship between anthropic impacts (industrial areas, roads, agriculture, forestry, etc.), vegetation cover, and species diversity. Our findings revealed a negative relationship between the number of species and proximity to industrial areas, emphasising the impact of these activities. Moreover, we observed a predominance of generalist biological traits across taxa in all the study sites rather than an increase in species specialisation with increased distance. This may suggest a homogenising effect caused by various anthropogenic activities that cause habitat fragmentation and species mortality, underlining the lasting influence of these activities on the biodiversity of the upper Agri Valley. Additionally, our study identifies numerous protected species, highlighting their vulnerability and emphasising the necessity for targeted conservation efforts to safeguard their existence., Competing Interests: Declarations. Ethical approval: All procedures performed in this study involving animals complied with the ethical standards of the institutional committee. All applicable international, national, and/or institutional guidelines for the care and use of animals were followed. Consent to participate: Not applicable. Consent for publication: All authors have approved the final manuscript and consent to its publication. Competing interests: The authors declare no competing interests., (© 2025. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Diabetic peripheral neuropathy (DPN) is the most common complication of diabetes. Although studies have previously investigated metabolic disruptions in the peripheral nervous system (PNS), the exact metabolic mechanisms underlying DPN remain largely unknown. Herein, a specific form of metabolic remodeling involving aberrant ketogenesis within Schwann cells (SCs) in streptozotocin (STZ)-induced type I diabetes mellitus is identified. The PNS adapts poorly to such aberrant ketogenesis, resulting in disrupted energy metabolism, mitochondrial damage, and homeostatic decompensation, ultimately contributing to DPN. Additionally, the maladaptive peripheral ketogenesis is highly dependent on the cannabinoid type-1 receptor (CB 1 R)-Hmgcs2 axis. Silencing CB 1 R reprogrammed the metabolism of SCs by blocking maladaptive ketogenesis, resulting in rebalanced energy metabolism, reduced histopathological changes, and improved neuropathic symptoms. Moreover, this metabolic reprogramming can be induced pharmacologically using JD5037, a peripheral CB 1 R blocker. These findings revealed a new metabolic mechanism underlying DPN, and promoted CB 1 R as a promising therapeutic target for DPN., (© 2025 The Author(s). Advanced Science published by Wiley‐VCH GmbH.)