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简介：AbstractParkinson disease (PD) is the second-most common neurodegenerative disorder. Its main pathological mechanism is the selective degeneration and deletion of dopaminergic neurons in the dense part of the substantia nigra and the damage of dopaminergic neurons caused by the abnormal deposition of a Lewy body, leading to a decreased dopamine level. Positron emission computed tomography (PET)/single photon emission computed tomography (SPECT) is a molecular imaging technology that can directly or indirectly reflect changes in molecular levels by using a specific tracer. With the research and development on the tracers of related enzymes for labeling dopamine transporter and dopamine receptor and for being involved in dopamine formation, this imaging technology has been applied to all aspects of PD research. It not only contributes to clinical work but also provides an important theoretical basis for exploring the pathological mechanism of PD at a molecular level. Therefore, this review discusses the application value of PET/SPECT in PD in terms of early diagnosis, disease severity evaluation, clinical manifestations, differential diagnosis, and pathological mechanism.

简介：AbstractImportance:Graves’ disease (GD) is rare in children under the age of 7 years. Children with this disease exhibit greater thyrotoxicity at diagnosis and require a longer course of medical therapy, compared with pubertal and postpubertal children and adults.Objective:To investigate the clinical features and identify predictors of remission in children under the age of 7 years with GD.Methods:This retrospective study included 77 children who were diagnosed with GD under the age of 7 years and were treated in the Department of Endocrinology, Beijing Children’s Hospital from 2010 to 2018. Clinical manifestations, laboratory data, and follow-up records were collected for all patients. Children who achieved remission of treatment with methimazole were compared with those who had persistent disease to identify which variables were associated with remission; multiple logistic regression and Cox regression analyses were used to evaluate interactions among predictive variables.Results:Sixty-three boys and 14 girls were included; the median age at diagnosis was 4.2 years (interquartile range: 3.2-5.3 years). Forty-six (56.7%) patients had no family history of thyroid disease, 17 patients had family history of thyroid disease and 14 patients with unknown family history. Of the 77 patients, 18 (23.4%) patients achieved remission of treatment with methimazole and 59 patients did not; moreover, 51 (66.2%) had Graves’ ophthalmopathy. Univariate analyses revealed no significant differences between the remission group and non-remission group in terms of age at diagnosis, sex, initial goiter size, or initial thyroid hormone concentration. However, there were a trend of correlation between the initial level of thyroid peroxidase antibody (TPOAb) and remission status (univariate analysis OR 1.002, P = 0.038; multivariate analysis OR 1.004, P = 0.019). Similar results were observed in univariate analysis of the initial thyrotropin receptor antibody (TRAb) level, but this association was not significant in multivariate analysis. Cox regression analyses revealed that children with high TRAb level required longer duration of remission, compared with low TRAb level (OR 0.950, 95% CI 0.904-0.997, P = 0.037).Interpretation:Initial TRAb level was an independent predictor of remission outcome in young children under the age of 7 years with GD. Initial TRAb level may predict the likelihood of remission in patients with young-age-of-onset GD.

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简介：AbstractBackground:The antioxidant effects of bilirubin in Parkinson’s disease (PD) have recently gained much attention from the research community. However, results from these studies have been conflicting. This meta-analysis is conducted to assess the relationship between the serum bilirubin concentration and the risk of PD.Methods:Two reviewers performed a systematic literature search across five databases (MEDLINE, PubMed, EMBASE, Web of Science, and Cochrane Central Register of Controlled Trials). The case-control studies regarding bilirubin levels in PD patients published up to April 2020 were included. These studies were subjected to rigorous scrutiny and data extraction to determine the standard mean difference (SMD) and the 95% confidence interval (CI), which were analyzed using the Stata V.12.0 statistical software.Results:A total of eight studies which included 1463 PD cases and 1490 controls were incorporated into our meta-analysis. SMD analysis showed that there was a higher total bilirubin (TBIL) and direct bilirubin (DBIL) levels in PD patients compared with controls (for TBIL, SMD: 0.300, 95% CI: 0.050-0.549, P = 0.018; for DBIL, SMD: 0.395, 95% CI: 0.102-0.688, P = 0.008). However, no significant relationship was found between the serum indirect bilirubin and PD patients (SMD: -0.223, 95% CI: -0.952-0.505, P = 0.548). A subgroup analysis based on ethnicity indicated that the serum TBIL was higher in PD patients of Caucasian descent in contrast to matched healthy controls (SMD: 0.511, 95% CI: 0.324-0.698, P = 0.000, I2 = 58.0%).Conclusion:Higher serum bilirubin levels in PD patients suggest that bilirubin might play a role in the pathogenesis of PD and have the potential to be utilized as a biochemical marker for PD diagnosis and treatment.

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简介：AbstractThe common cerebral small vessel disease (CSVD) neuroimaging features visible on conventional structural magnetic resonance imaging include recent small subcortical infarcts, lacunes, white matter hyperintensities, perivascular spaces, microbleeds, and brain atrophy. The CSVD neuroimaging features have shared and distinct clinical consequences, and the automatic quantification methods for these features are increasingly used in research and clinical settings. This review article explores the recent progress in CSVD neuroimaging feature quantification and provides an overview of the clinical consequences of these CSVD features as well as the possibilities of using these features as endpoints in clinical trials. The added value of CSVD neuroimaging quantification is also discussed for researches focused on the mechanism of CSVD and the prognosis in subjects with CSVD.

简介：AbstractBackground:Neglected tropical diseases (NTDs) have long been overlooked in the global health agenda. They are intimately related to poverty, cause important local burdens of disease, but individually do not represent global priorities. Yet, NTDs were estimated to affect close to 2 billion people at the turn of the millennium, with a collective burden equivalent to HIV/AIDS, tuberculosis, or malaria. A global response was therefore warranted.Main text:The World Health Organization (WHO) conceived an innovative strategy in the early 2000s to combat NTDs as a group of diseases, based on a combination of five public health interventions. Access to essential NTD medicines has hugely improved thanks to strong public-private partnership involving the pharmaceutical sector. The combination of a WHO NTD roadmap with clear targets to be achieved by 2020 and game-changing partner commitments endorsed in the London Declaration on Neglected Tropical Diseases, have led to unprecedented progress in the implementation of large-scale preventive treatment, case management and care of NTDs. The coming decade will see as challenges the mainstreaming of these NTD interventions into Universal Health Coverage and the coordination with other sectors to get to the roots of poverty and scale up transmission-breaking interventions. Chinese expertise with the elimination of multiple NTDs, together with poverty reduction and intersectoral action piloted by municipalities and local governments, can serve as a model for the latter. The international community will also need to keep a specific focus on NTDs in order to further steer this global response, manage the scaling up and sustainment of NTD interventions globally, and develop novel products and implementation strategies for NTDs that are still lagging behind.Conclusions:The year 2020 will be crucial for the future of the global response to NTDs. Progress against the 2020 roadmap targets will be assessed, a new 2021-2030 NTD roadmap will be launched, and the London Declaration commitments will need to be renewed. It is hoped that during the coming decade the global response will be able to further build on today's successes, align with the new global health and development frameworks, but also keep focused attention on NTDs and mobilize enough resources to see the effort effectively through to 2030.

简介：AbstractIntroduction:Bowen’s disease is a squamous cell carcinoma in situ. It is more common on the head and neck, less common on the nail units in which it usually involves the second to fourth fingers of both hands. Here, we report a case of Bowen’s disease involving the left fifth finger of a 78-year-old Chinese woman.Case presentation:The patient was treated with nine sessions of topical 5-aminolevulinic acid-photodynamic therapy (5-ALA-PDT), with a one-week interval between sessions. The 5-ALA cream was applied to the lesion and the region surrounding its marginal diameter by 0.5 cm. After 3-4 hours, the lesion was irradiated with 635 ± 10 nm red light at an intensity of 80 mw/cm2 for 20 minutes. An excellent result with a topical 5-ALA-PDT was reached.Discussion:PDT involves the application of a combination of a photosensitizing drug and light to cause selective damage to the target tissue. PDT is more appropriate than surgical excision for lesions located in sites with poor healing ability.Conclusion:PDT appears to be effective, safe and has a better cosmetic outcome in the treatment of Bowen’s disease of the finger unit.

简介：AbstractDespite multiple virus outbreaks over the past decade, including the devastating coronavirus disease 2019 (COVID-19) pandemic, the lack of accurate and timely diagnosis and treatment technologies has wreaked havoc on global biosecurity. The clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated proteins (Cas) system has the potential to address these critical needs for tackling infectious diseases to detect viral nucleic acids and inhibit viral replication. This review summarizes how the CRISPR/Cas system is being utilized for the treatment and diagnosis of infectious diseases with the help of biosafety materials and highlights the design principle and in vivo and in vitro efficacy of advanced biosafety materials used to deal with virus attacks.

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简介：AbstractBackground:The global prevalence of nonalcoholic fatty liver disease (NAFLD) is increasing. The pathogenesis of NAFLD is multifaceted, and the underlying mechanisms are elusive. We conducted data mining analysis to gain a better insight into the disease and to identify the hub genes associated with the progression of NAFLD.Methods:The dataset GSE49541, containing the profile of 40 samples representing mild stages of NAFLD and 32 samples representing advanced stages of NAFLD, was acquired from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) were identified using the R programming language. The Database for Annotation, Visualization and Integrated Discovery (DAVID) online tool and Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) database were used to perform the enrichment analysis and construct protein-protein interaction (PPI) networks, respectively. Subsequently, transcription factor networks and key modules were identified. The hub genes were validated in a mice model of high fat diet (HFD)-induced NAFLD and in cultured HepG2 cells by real-time quantitative PCR.Results:Based on the GSE49541 dataset, 57 DEGs were selected and enriched in chemokine activity and cellular component, including the extracellular region. Twelve transcription factors associated with DEGs were indicated from PPI analysis. Upregulated expression of five hub genes (SOX9, CCL20, CXCL1, CD24, and CHST4), which were identified from the dataset, was also observed in the livers of HFD-induced NAFLD mice and in HepG2 cells exposed to palmitic acid or advanced glycation end products.Conclusion:The hub genes SOX9, CCL20, CXCL1, CD24, and CHST4 are involved in the aggravation of NAFLD. Our results offer new insights into the underlying mechanism of NAFLD progression.

简介：AbstractBackground:Substantial research is underway to develop next-generation interventions that address current malaria control challenges. As there is limited testing in their early development, it is difficult to predefine intervention properties such as efficacy that achieve target health goals, and therefore challenging to prioritize selection of novel candidate interventions. Here, we present a quantitative approach to guide intervention development using mathematical models of malaria dynamics coupled with machine learning. Our analysis identifies requirements of efficacy, coverage, and duration of effect for five novel malaria interventions to achieve targeted reductions in malaria prevalence.Methods:A mathematical model of malaria transmission dynamics is used to simulate deployment and predict potential impact of new malaria interventions by considering operational, health-system, population, and disease characteristics. Our method relies on consultation with product development stakeholders to define the putative space of novel intervention specifications. We couple the disease model with machine learning to search this multi-dimensional space and efficiently identify optimal intervention properties that achieve specified health goals.Results:We apply our approach to five malaria interventions under development. Aiming for malaria prevalence reduction, we identify and quantify key determinants of intervention impact along with their minimal properties required to achieve the desired health goals. While coverage is generally identified as the largest driver of impact, higher efficacy, longer protection duration or multiple deployments per year are needed to increase prevalence reduction. We show that interventions on multiple parasite or vector targets, as well as combinations the new interventions with drug treatment, lead to significant burden reductions and lower efficacy or duration requirements.Conclusions:Our approach uses disease dynamic models and machine learning to support decision-making and resource investment, facilitating development of new malaria interventions. By evaluating the intervention capabilities in relation to the targeted health goal, our analysis allows prioritization of interventions and of their specifications from an early stage in development, and subsequent investments to be channeled cost-effectively towards impact maximization. This study highlights the role of mathematical models to support intervention development. Although we focus on five malaria interventions, the analysis is generalizable to other new malaria interventions.

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