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Marine spatial planning (MSP) was developed as a place-based, integrated marine governance approach to address sectoral and fragmented management issues and has seen significant evolvement over the past two decades. MSP has rapidly become the most commonly endorsed management regime for sustainable development in the marine environment, with initiatives being implemented across multiple regions of the globe. Despite its broad and growing acceptance and use, there are several key challenges that remain, both conceptual and practical, that are negatively impacting the realization of MSP’s potential. These include institutional shortcomings, the exclusion of stakeholders, a failure to account for the human and social dimensions of marine regions, the marginalization of different types of knowledge, and the growing need to adapt to global environmental change. Although studies have examined the emergence of MSP in different geographical and institutional contexts, there is a lack of comparative analysis of how initiatives are progressing and if the foundational aims of MSP are being achieved. There is a need to analyze the degree to which MSP initiatives are responding to the environmental challenges that they have been set up to tackle and, as marine plans are setting out long-term visions for marine management, to understand if current initiatives are fit for purpose. This article responds to these concerns and reviews the evolution of MSP within 12 regional ocean areas. We utilize the term regional ocean areas to illustrate the geographical spread of MSP, with examinations conducted of the approach to MSP that specific nations within each of the 12 chosen clusters have followed. By critically assessing how MSP is progressing, it is possible to shed light on the opportunities and challenges that are facing current initiatives. This can help to reveal learning lessons that can inform future MSP systems and guide initiatives along more sustainable pathways.

Diabetes mellitus is becoming a major health burden worldwide. Pancreatic β-cell death is a characteristic of type 2 diabetes (T2D), but the underlying mechanisms of pancreatic β-cell death remain unknown. Therefore, the aim of the present study was to identify potential targets in the pancreatic islet of T2D. The GSE20966 dataset was obtained from the Gene Expression Omnibus (GEO) database, and differentially expressed genes (DEGs) were identified by using the GEO2R tool. The Gene Ontology terms and Kyoto Encyclopedia of Genes and Genomes Pathway enrichment analysis of DEGs were further assessed using the Database for Annotation, Visualization and Integrated Discovery. Furthermore, protein-protein interaction (PPI) networks were constructed for the up- and downregulated genes using STRING databases and were then visualized with Cytoscape. The body weight, fasting blood glucose (FBG), pancreatic index and biochemistry parameters were measured in db/db mice. Moreover, the morphology of the pancreas was detected by hematoxylin and eosin staining, and hub genes were assessed using reverse transcription-quantitative PCR (RT-qPCR) and western blot analysis. In total, 570 DEGs were screened, including 376 upregulated and 194 downregulated genes, which were associated with ‘complement activation, classical pathway’, ‘proteolysis’, ‘complement activation’ and ‘pancreatic secretion pathway’. It was found that the body weight, FBG, alanine aminotransferase, aspartate aminotransferase, total cholesterol, triglycerides, blood urea nitrogen, creatinine, fasting serum insulin, glucagon and low-density lipoprotein cholesterol levels were significantly higher in db/db mice, while high-density lipoprotein cholesterol levels and the pancreatic index were significantly decreased. Furthermore, albumin, interleukin-8, CD44, C-C motif chemokine ligand 2, hepatocyte growth factor, cystic fibrosis transmembrane conductance regulator, histone cluster 1 H2B family member n, mitogen-activated protein kinase 11 and neurotrophic receptor tyrosine kinase 2 were identified as hub genes in PPI network. RT-qPCR and western blotting results demonstrated the same expression trend in hub genes as found by the bioinformatics analysis. Therefore, the present study identified a series of hub genes involved in the progression of pancreatic β-cell, which may help to develop effective therapeutic strategy for T2D.