Consanguineous marriage—defined as unions between biologically related individuals, typically first or second cousins—has been a culturally embedded practice across diverse societies for millennia. Drawing on publicly available sources, the study seeks to review both regional and global perspectives of consanguineous marriage across time and space. Rooted in anthropological traditions of kinship and alliance, these unions historically served functions such as preserving lineage, consolidating property, ensuring social trust, and reinforcing group identity. Anthropological scholarship, from Morgan’s kinship classifications to Lévi-Strauss’s alliance theory, situates cousin marriage as a structured and rational social strategy rather than a random or anomalous choice. Contemporary practices, however, are shaped by complex intersections of tradition, religion, gender, and modernity. While biomedical research consistently associates consanguinity with increased risks of congenital disorders, pregnancy wastage, and mental health conditions, many communities continue to view it as beneficial for kin solidarity, economic security, and marital stability. Global prevalence remains heterogeneous: highly normative in South Asia, the Middle East, and North Africa, declining in parts of India and North Africa, and largely absent in Western societies except among diasporas. Recent transformations—including urbanization, women’s education, migration, digital matchmaking, and premarital genetic screening—have shifted perceptions, particularly among youth. Ethnographic accounts highlight tensions between generational expectations and individual autonomy, revealing ambivalence and negotiation rather than outright rejection. This review underscores consanguinity as a dynamic institution at the intersection of anthropology, genetics, religion, and public health. Rather than framing it solely as a biomedical risk or a cultural relic, it should be understood as a multifaceted practice continually redefined in response to social, economic, and political change.
The bioconversion of C1 compounds (CO2, methane, methanol, etc.) constitutes a crucial pathway for green biomanufacturing. However, the process efficiency is constrained by several challenges, including the difficult capture of gaseous substrates, instability of biocatalysts, and the high cost as well as operational complexity of cofactor regeneration. Porous framework materials offer promising solutions due to their high specific surface area, tunable pore structures, and ease of functionalization. This review provides a systematic and forward-looking analysis that moves beyond the conventional view of porous frameworks as simple immobilization matrices. We distinctly highlight their emerging multifunctional and integrative roles in C1 bioconversion, emphasizing several novel strategic contributions: (1) Serving as intelligent immobilization carriers that not only enhance biocatalyst stability and recyclability but also concurrently enable efficient C1 substrate enrichment and localized concentration; (2) Facilitating synergistic energy conversion by interfacing with photocatalysis or electrocatalysis to enable in-situ and sustainable cofactor regeneration, thereby addressing a key economic bottleneck; (3) Actively regulating microbial metabolism and community dynamics through tailored material-microbe interactions, optimizing carbon flux and system resilience; and (4) Mimicking natural enzymes to create robust and tunable biomimetic catalysts for C1 conversion under non-physiological conditions. Remaining challenges, such as mass transfer limitations, the scalability of material synthesis, and the integration of hybrid systems, are analyzed through the lens of these advanced functionalities. We conclude that the synergistic and rational integration of synthetic biology-designed biocatalysts with engineered multifunctional frameworks represents a paradigm shift, paving the way for efficient, stable, and high-value utilization of C1 resources.
The treatment of cystic fibrosis (CF) remains challenging due to formidable biological barriers in the lungs, including thick mucus and resilient biofilms that severely limit the efficacy of conventional therapies. Nanotechnology, engineered to overcome these barriers, is emerging as a transformative approach for CF therapy. This opinion highlighted the most recent and advanced nanotechnologies, categorizing them into four strategic frontiers: (1) nanocarriers that achieve mucus penetration through surface modifications; (2) nanoplatforms for efficient delivery of genetic therapeutics; (3) nanocarriers for antimicrobial delivery to cure infections associated with CF; and (4) combinatorial nanomedicines for synchronized delivery of multiple drugs. We concluded that, with the help of these nanotechnologies, therapies for CF will now undergo a paradigm shift, moving CF from a fatal disease to a treatable and potentially curable one. Although the clinical transition is challenging, it holds immense promise for revolutionizing CF management.
Milk production in developing African countries is a viable path for smallholders’ sustainable development. Supporting interventions should be shaped by evidence from comprehensive, context-specific analyses. Using survey data, this study contributes to the development-oriented literature on dairy productivity in African smallholder systems by conducting the first stochastic frontier analysis in the Malagasy context. Focusing on milk producers in central Madagascar’s crop-livestock family farms, a stochastic frontier production function with inefficiency effects is developed. The fitted frontier comprises the number of cows, annual purchased feed expenditure, farmer’s labor, and total household assets owned. Distance from the frontier is explained by the use of improved breeds, integration in the regional milk zone, farmer years of experience, the presence of off-farm income, and the number of oxen owned. Technical efficiency ranged from 4.6% to 90.8% around a mean of 55.5%. Results revealed how, in this context, cows are embedded in diversified family farming systems where resources are allocated across production activities and household needs. The study’s multidisciplinary stochastic frontier analysis provides a more complete picture to guide research and policy for smallholders’ sustainable rural development.
Extracellular vesicles (EVs) are molecularly very heterogeneous, and their characterization at the single-particle level is technically challenging. Existing approaches, such as nanoparticle tracking analysis, fluorescence microscopy, and nano-flow cytometry, provide important insights but often lack the flexibility to detect multiple molecular markers simultaneously. Here, we describe an optimized workflow for multiparametric EV phenotyping using a spectral flow cytometry instrument with enhanced small particle detection capacity. EVs were isolated from murine melanoma and melanocyte cell lines via size-exclusion chromatography and labeled with a fluorogenic membrane probe that enables robust, single EV detection. In this study, we systematically optimized staining conditions, EV concentrations, and fluorophore combinations for a 5-color antibody panel on single EVs. We show that single-particle flow cytometry can reliably detect and resolve multiple EV surface markers simultaneously. Data analysis by unsupervised clustering further enabled unbiased identification of distinct EV subsets, providing a practical approach for EV phenotyping in both research and clinical contexts.
