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The One Health (OH) approach is used to control/prevent zoonotic events. However, there is a lack of tools for systematically assessing OH practices. Here, we applied the Global OH Index (GOHI) to evaluate the global OH performance for zoonoses (GOHI-Zoonoses). The fuzzy analytic hierarchy process algorithm and fuzzy comparison matrix were used to calculate the weights and scores of five key indicators, 16 subindicators, and 31 datasets for 160 countries and territories worldwide. The distribution of GOHI-Zoonoses scores varies significantly across countries and regions, reflecting the strengths and weaknesses in controlling or responding to zoonotic threats. Correlation analyses revealed that the GOHI-Zoonoses score was associated with economic, sociodemographic, environmental, climatic, and zoological factors. Additionally, the Human Development Index had a positive effect on the score. This study provides an evidence-based reference and guidance for global, regional, and country-level efforts to optimize the health of people, animals, and the environment.
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BACKGROUND: Despite regional brain structural changes having been reported in patients with chronic low back pain (CLBP), the topological properties of structural covariance networks (SCNs), which refer to the organization of the SCNs, remain unclear. This study applied graph theoretical analysis to explore the alterations of the topological properties of SCNs, aiming to comprehend the integration and separation of SCNs in patients with CLBP. METHODS: A total of 38 patients with CLBP and 38 healthy controls (HCs), balanced for age and sex, were scanned using three-dimensional T1-weighted magnetic resonance imaging. The cortical thickness was extracted from 68 brain regions, according to the Desikan-Killiany atlas, and used to reconstruct the SCNs. Subsequently, graph theoretical analysis was employed to evaluate the alterations of the topological properties in the SCNs of patients with CLBP. RESULTS: In comparison to HCs, patients with CLBP had less cortical thickness in the left superior frontal cortex. Additionally, the cortical thickness of the left superior frontal cortex was negatively correlated with the Visual Analogue Scale scores of patients with CLBP. Furthermore, patients with CLBP, relative to HCs, exhibited lower global efficiency and small-worldness, as well as a longer characteristic path length. This indicates a decline in the brain's capacity to transmit and process information, potentially impacting the processing of pain signals in patients with CLBP and contributing to the development of CLBP. In contrast, there were no significant differences in the clustering coefficient, local efficiency, nodal efficiency, nodal betweenness centrality, or nodal degree between the two groups. CONCLUSIONS: From the regional cortical thickness to the complex brain network level, our study demonstrated changes in the cortical thickness and topological properties of the SCNs in patients with CLBP, thus aiding in a better understanding of the pathophysiological mechanisms of CLBP.
Subject(s)
Cerebral Cortex , Chronic Pain , Low Back Pain , Magnetic Resonance Imaging , Humans , Female , Male , Low Back Pain/diagnostic imaging , Low Back Pain/pathology , Adult , Magnetic Resonance Imaging/methods , Middle Aged , Cerebral Cortex/diagnostic imaging , Cerebral Cortex/pathology , Chronic Pain/diagnostic imaging , Chronic Pain/pathology , Nerve Net/diagnostic imaging , Nerve Net/pathologyABSTRACT
Background: Neuroimaging studies have suggested a pivotal role for the amygdala involvement in chronic low back pain (CLBP). However, the relationship between the amygdala subregions and CLBP has not yet been delineated. This study aimed to analyze whether the amygdala subregions were linked to the development of CLBP. Methods: A total of 45 patients with CLBP and 45 healthy controls (HCs) were included in this study. All subjects were asked to complete a three-dimensional T1-weighted magnetic resonance imaging (3D-T1 MRI) scan. FreeSurfer 7.3.2 was applied to preprocess the structural MRI images and segment the amygdala into nine subregions. Afterwards, comparisons were made between the two groups in terms of the volumes of the amygdala subregions. Correlation analysis is utilized to examine the relationship between the amygdala subregion and the scale scores, as well as the pain duration in patients with CLBP. Additionally, logistic regression was used to explore the risk of the amygdala and its subregions for CLBP. Results: In comparison to HCs, patients with CLBP exhibited a significant enlargement of the left central nucleus (Ce) and left cortical nucleus (Co). Furthermore, the increased volume of the left Ce was associated with a higher risk of CLBP. Conclusion: Our study suggests that the left Ce and left Co may be involved in the pathophysiological processes of CLBP. Moreover, the volume of the left Ce may be a biomarker for detecting the risk of CLBP.
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The aim of this study is to improve the utilization of phosphorus (P) in soil, and to study the effects of phosphate-solubilizing bacteria (PSB) on P fractions and bacterial communities. In this experiment, we reduced the amount of P fertilizer by 30 % and 40 % respectively to studied the effects of combined application of bacterial fertilizers on soil microbial community and phosphate transformation process under different fertilization rates. The results showed that the application of PSB affected the transformation process of different P fractions. PSB had the most significant impact on organic phosphorus (p < 0.05). Correlation analysis showed that the abundance of bacteria was significantly correlated to the P fractions, indicating that the application of PSB had affected the bacterial community structure. In addition, Structural Equation Model (SEM) analysis showed that there was a causal relationship between the various visual variables. SEM confirmed the response relationship between bacterial communities and P components. Based on these results, we concluded that the application of PSB increased the sensitivity of P components, especially Olsen-P and MBP, to soil microorganisms. The application of PSB is an effective method to improve P utilization.
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BACKGROUND: Food systems instantiate the complex interdependencies across humans, physical environments, and other organisms. Applying One Health approaches for agri-food system transformation, which adopts integrated and unifying approaches to optimize the overall health of humans, animals, plants, and environments, is crucial to enhance the sustainability of food systems. This study develops a potential assessment tool, named the global One Health index-Food Security (GOHI-FS), aiming to evaluate food security performance across countries/territories from One Health perspective and identify relevant gaps that need to be improved for sustainable food systems. METHODS: We comprehensively reviewed existing frameworks and elements of food security. The indicator framework of GOHI-FS was conceptualized following the structure-process-outcome model and confirmed by expert advisory. Publicly available data in 2020 was collected for each indicator. The weighting strategy was determined by the Fuzzy Analytical Hierarchy Process. The data for each indicator was normalized and aggregated by weighted arithmetic mean. Linear regressions were performed to evaluate the associations of GOHI-FS with health and social-economic indicators. RESULTS: The GOHI-FS includes 5 first-level indicators, 19 second-level indicators and 45 third-level indicators. There were 146 countries/territories enrolled for evaluation. The highest average score of first-level indicators was Nutrition (69.8) and the lowest was Government Support and Response (31.3). There was regional heterogeneity of GOHI-FS scores. Higher median scores with interquartile range (IQR) were shown in North America (median: 76.1, IQR: 75.5-76.7), followed by Europe and Central Asia (median: 66.9, IQR: 60.1-74.3), East Asia and the Pacific (median: 60.6, IQR: 55.5-68.7), Latin America and the Caribbean (median: 60.2, IQR: 57.8-65.0), Middle East and North Africa (median: 56.6, IQR: 52.0-62.8), South Asia (median: 51.1, IQR: 46.7-53.8), and sub-Saharan Africa (median: 41.4, IQR: 37.2-46.5). We also found significant associations between GOHI-FS and GDP per capita, socio-demographic index, health expenditure and life expectancy. CONCLUSIONS: GOHI-FS is a potential assessment tool to understand the gaps in food security across countries/territories under the One Health concept. The pilot findings suggest notable gaps for sub-Saharan Africa in numerous aspects. Broad actions are needed globally to promote government support and response for food security.
Subject(s)
One Health , Animals , Humans , Asia, Southern , Environment , Europe , GovernmentABSTRACT
BACKGROUND: A One Health approach has been increasingly mainstreamed by the international community, as it provides for holistic thinking in recognizing the close links and inter-dependence of the health of humans, animals and the environment. However, the dearth of real-world evidence has hampered application of a One Health approach in shaping policies and practice. This study proposes the development of a potential evaluation tool for One Health performance, in order to contribute to the scientific measurement of One Health approach and the identification of gaps where One Health capacity building is most urgently needed. METHODS: We describe five steps towards a global One Health index (GOHI), including (i) framework formulation; (ii) indicator selection; (iii) database building; (iv) weight determination; and (v) GOHI scores calculation. A cell-like framework for GOHI is proposed, which comprises an external drivers index (EDI), an intrinsic drivers index (IDI) and a core drivers index (CDI). We construct the indicator scheme for GOHI based on this framework after multiple rounds of panel discussions with our expert advisory committee. A fuzzy analytical hierarchy process is adopted to determine the weights for each of the indicators. RESULTS: The weighted indicator scheme of GOHI comprises three first-level indicators, 13 second-level indicators, and 57 third-level indicators. According to the pilot analysis based on the data from more than 200 countries/territories the GOHI scores overall are far from ideal (the highest score of 65.0 out of a maximum score of 100), and we found considerable variations among different countries/territories (31.8-65.0). The results from the pilot analysis are consistent with the results from a literature review, which suggests that a GOHI as a potential tool for the assessment of One Health performance might be feasible. CONCLUSIONS: GOHI-subject to rigorous validation-would represent the world's first evaluation tool that constructs the conceptual framework from a holistic perspective of One Health. Future application of GOHI might promote a common understanding of a strong One Health approach and provide reference for promoting effective measures to strengthen One Health capacity building. With further adaptations under various scenarios, GOHI, along with its technical protocols and databases, will be updated regularly to address current technical limitations, and capture new knowledge.
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One Health , Forecasting , Global HealthABSTRACT
Background: One Health is an integrated concept of health that aims to optimize the health of humans, animals, plants, and the environment. Identifying research gaps and specific expertise areas is important for understanding the role of One Health in practice. This information on One Health could be used to promote collaboration and research, inspire innovative ideas, and accelerate the translation of evidence-based practices into policies. Methods: We searched the Scopus database for publications related to One Health between 2012 and 2021 to extract bibliometric information and investigate the possibility of establishing a dedicated expertise database. We matched scholarly information using SciVal to exclude duplicate information and identify scholars' affiliations, countries, and academic profiles. Individual academic contributions to One Health were evaluated according to their citations, publication impact, publication type, and author contributions. Results: A total of 8,313 publications on One Health over a ten-year period were identified, with the number of publications increasing over time. The largest number of publications came from the United States and the United Kingdom. These countries also had the highest number of experts and a high level of international collaboration. We identified 500 scholars from 53 countries and 313 affiliations with a median Hirsch Index of 20 who could be included in a One Health expert database. These scientists had a median of six publications on One Health, with topics mostly focusing on dengue and antimicrobial resistance. Conclusion: A One Health information database could be used as a third-party reference for scholars, a source to track the ongoing academic progress, and support for active scholars in this field of research.
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[This corrects the article DOI: 10.1016/j.soh.2023.100012.].
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OBJECTIVE: To explore the clinical and cytogenetic characteristics of acute myeloid leukemia with myelodysplasia-related changes (AML-MRC) based on morphology define. METHODS: A total of 180 newly diagnosed acute myeloid leukemia (AML) patients were enrolled and retrospectively analyzed, and marrow cell morphology of 126 patients were re-evaluated. The clinical and cytogenetic characteristics, including ages, sex, WBC count, HGB level, PLT count, blasts percentage, abnormal karyotype detection rate of the patients in AML with multilineage dysplasia (AML-MRC-1), secondary AML from myelodysplastic/ myeloproliferative neoplasms (MDS/MPN) (AML-MRC-2), and AML not otherwise specified (AML-NOS) groups were investigated. RESULTS: There was no significant differences between the patients in three groups in terms of sex, age and platelet count (P=0.898, P=0.365, P=0.853), but AML-MRC-2 group (73.2%) was higher than AML-MRC-1 (60.0%) and AML-NOS (56.4%) in the percentages of patients over 60 years old (P=0.228); there were statistically significant differences on WBC count, HGB level, and blasts percentage (P=0.000, P=0.022, P=0.000, AML-MRC-2Subject(s)
Leukemia, Myeloid, Acute
, Myelodysplastic Syndromes
, Cytogenetic Analysis
, Cytogenetics
, Humans
, Leukemia, Myeloid, Acute/genetics
, Middle Aged
, Myelodysplastic Syndromes/genetics
, Retrospective Studies