Corpse decomposition of freshwater economic fish leads to similar resistomes and the enrichment of high-risk antibiotic resistance genes in different water types.

Animal carcass decay produces many poisonous metabolites and chemical pollutants, which pose potential ecological risks to the aquatic environment and human health. However, the effects of animal cadaver decomposition on high-risk antibiotic resistance genes (ARGs) and potential pathogens in different water types are still unknown. In this study, fifteen freshwater economic fish (Carassius auratus) corpses were put into three types of water (i.e., pond water, tap water, and domestic sewage) for a 100-day decomposition. Next generation sequencing and HT-qPCR were used to illustrate how corpse decomposition affected microbial communities and ARG profiles. Our results revealed that fish corpse degradation caused similar resistomes and microbiome in different water types. MLSB (Macrolide-Lincosamide-Streptogramin B), ß-lactamase, sulfonamide, tetracycline resistance genes and transposase genes in the experimental groups were increased. Among them, tetracycline resistance genes were enriched by 224 to 136,218-fold during the process of corpse degradation. Furthermore, high-risk ARGs (ermB, floR and dfrA1), which resist to MLSB, multidrug and sulfonamide respectively, were significantly enriched in the cadaver groups and had co-occurrence patterns with opportunistic pathogens, such as Bacteroidetes, which was more than 37 times in carcass groups than that in control groups. The study is able to draw a general conclusion that cadaver decomposition of freshwater economic fish deteriorates the aquatic environment by affecting high-risk ARGs and pathogenic microorganisms regardless of water types, which poses potential threats to human health. Therefore, timely management and treatment of animal carcasses is of great significance to the protection of water environment.

Association between economic development level and tuberculosis registered incidence in Shandong, China.

BACKGROUND: Tuberculosis (TB) is one of the major infectious diseases that seriously endanger people's health. In Shandong province, the relationship between the level of economic development and TB incidence has not been studied. This study aims to provide more research basis for the government to prevent and control TB by exploring the impact of different economic factors on TB incidence. METHODS: By constructing threshold regression model (TRM), we described the extent to which different economic factors contribute to TB registered incidence and differences in TB registered incidence among seventeen cities with different levels of economic development in Shandong province, China, during 2006-2017. Data were retrieved from the China Information System for Disease Control and Prevention. RESULTS: Per capita medical expenditure (regression coefficient, -0.0314462; SD, 0.0079305; P > |t|, 0.000) and per capita savings (regression coefficient, 0.0001924; SD, 0.0000566; P > |t|, 0.001) passed the significance test at the level of 1%.They are the two economic indicators that have the greatest impact on TB registered incidence. Through the threshold test, we selected the per capita savings as the threshold variable. In the three stages of per capita savings (<9772.8086 China Yuan(CNY); 9772.8086-33,835.5391 CNY; >33,835.5391 CNY), rural per capita income always has a significant negative impact on the TB registered incidence (The regression coefficients are - 0.0015682, - 0.0028132 and - 0.0022253 respectively. P is 0.007,0.000 and 0.000 respectively.).In cities with good economies, TB registered incidence was 38.30% in 2006 and dropped to 25.10% by 2017. In cities with moderate economies, TB registered incidence peaked in 2008 at 43.10% and dropped to 27.1% by 2017.In poorer cities, TB registered incidence peaked in 2008 at 56.30% and dropped to 28.9% in 2017. CONCLUSION: We found that per capita savings and per capita medical expenditure are most closely related to the TB incidence. Therefore, relevant departments should formulate a more complete medical system and medical insurance policy to effectively solve the problem of "difficult and expensive medical treatment". In order to further reduce the TB incidence, in addition to timely and accurate diagnosis and treatment, it is more important for governments to increase investment in medicine and health care.

Effects of New Rural Cooperative Medical Scheme on Medical Service Utilization and Medical Expense Control of Inpatients: A 3-year Empirical Study of Hainan Province in China.

BACKGROUND: The New Rural Cooperative Medical Scheme (NCMS) has been further adjusted and optimized to reduce the financial burden of rural residents and to achieve universal coverage for them. In this study, we aimed to explore the impact of NCMS on medical service utilization and medical expense of inpatients in recent years. METHODS: The research data of Hainan Province were extracted from the Chinese NCMS platform from 2012 to 2014. Detailed information included total expenditure, average inpatients costs, average out-of-pocket payments, actual reimbursement rate, and average annual growth rate of the above indicators. Descriptive analysis was used to gauge the effects of NCMS. RESULTS: In the utilization of medical services, NCMS inpatients in tertiary hospital decreased from 25.49% in 2012 to 20.39% in 2014, inpatients in county hospitals increased from 39.49% to 55.92%, simultaneously. The total expenditure in county hospitals rose steadily from 28.46% to 46.66%, meanwhile, the total expenditure in tertiary hospitals fell from 60.44% to 44.51%.The average out-of-pocket costs of rural inpatients remained stable over the years. Furthermore, the compensation fund of NCMS inpatients grew significantly. The actual inpatient reimbursement rate at township health centers increased from 76.93% to 84.04%. Meanwhile, the rate at county hospitals and tertiary hospitals increased slightly from 59.37% and 46.10% to 61.25% and 47.71%, respectively. CONCLUSIONS: With the improvement of the reimbursement ability, especially after the new health care reform in 2009, the NCMS have been playing a prominent role in alleviating the economic burden of farmers' medical treatment. Meanwhile, more patients go to primary hospitals than tertiary hospitals, and the capability of primary hospitals has been greatly improved.

[Application of three-dimensional technology in assessment of burn area and treatment strategy of burns].

Accurate area assessment of a burn injury and its treatment according to its depth of injury are the foundation of burn treatment due to its complexity, and various techniques and methods have been employed to solve these problems for many years. As the demand of modern medicine calls for individualized and precise therapeutic measures, it is clear that the traditional diagnostic and treatment measures are insufficient. The flourishing development of three-dimensional (3D) technology seems to provide new research approaches and technical opporturities for burn surgery. A series of techniques such as 3D model, 3D scanning, and 3D printing may be promising in advancing burn surgery through basic research to achieve rational clinical applications in the future. In this paper, the applications and achievements of 3D technology in burn surgery in recent years are summarized.

BurnCalc assessment study of computer-aided individual three-dimensional burn area calculation.

BACKGROUND: Accurate estimation of a burned area is crucial to decisions about fluid resuscitation, surgical options, nutritional support, and prognosis. Widely used clinical methods to estimate a burn area are two-dimensional. They do not consider age, sex, body mass, physical deformities, or other relevant factors. Computer-aided methods have improved the accuracy of estimating burned areas by including data analysis and reducing subjective differences. Three-dimensional (3D) scanning allows us to determine body dimensions rapidly and reproducibly. We describe an individualized, cost-efficient, portable 3D scanning system, BurnCalc, that can create an individual 3D model and then calculate body surface area (BSA) and the burn area accurately and quickly. METHODS: The BurnCalc system was validated by verifying the accuracy and stability of BSA calculation. We measured 10 regular objects in experiment 1, using Student's t-test and the intraclass correlation coefficient (ICC) in the analysis. In experiment 2, artificial paper patches of known dimensions were attached to various parts of the body of 40 volunteers. Their sizes were then calculated using BurnCalc. The BurnCalc data were compared to actually measured values to verify accuracy and stability. Total BSAs of these 40 volunteers were also calculated by BurnCalc and compared to those derived from an accepted formula. In experiment 3, four experts using Chinese Rule-of-Nines or Rule-of-Palms methods calculated the percentages of the total BSA in 17 volunteers. Student's t-test and ICC, respectively, were used to compare the results obtained with the BurnCalc technique. RESULTS: Statistically, in experiment 1, p = 0.834 and ICC = 0.999, demonstrating that there was no difference between the BurnCalc and real measurements. Also, the hypothesis of null difference among measures (experiment 2) was true because p > 0.05 and ICC = 0.999, indicating that calculations of the total BSA and the burn area were more accurate using the BurnCalc technology. The reliability of the BurnCalc program was 99.9%. In experiment 3, only the BurnCalc method exhibited values of p > 0.05 (p = 0.774) and ICC = 0.999. CONCLUSIONS: BurnCalc technology produced stable, accurate readings, suggesting that BurnCalc could be regarded as a new standard clinical method.

Establishing a Th17 based mouse model for preclinical assessment of the toxicity of candidate microbicides.

BACKGROUND: To effectively block the invasion of human immunodeficiency virus (HIV)-1 on mucosal surface, vaginal anti-HIV-1 microbicides should avoid inflammatory responses and disruption of mucosa integrity because these will facilitate transepithelial viral penetration and replication. However, existing models fail to predict and evaluate vaginal mucosal toxicity induced by microbicides, and most importantly, they are unable to identify subtle or subclinical inflammatory reactions. This study was designed to develop a cost-effective in vivo model to evaluate microbicide safety in a preclinical study which can recapitulate the mucosal topical reaction. METHODS: A murine model was employed with nonoxynol-9 (N-9) as the topical stimulant within the vagina. Different concentrations of N-9 (1%, 3%, and 4%) were topically applied to the vagina for five consecutive days. A panel of inflammatory cytokines including interleukine-2 (IL-2), IL-4, IL-6, IL-17A, interferon-γ (IFN-γ), tumor necrosis factor-α (TNF-α), and immuno-regulatory IL-10 were assayed in vaginal lavage. Cytokines were quantified by using cytometric bead array (CBA) and reverse transcript (RT) real-time PCR. Histopathological evaluation of vaginal tissues was conducted on hematoxylin-eosin stained slides and scored with a semi-quantitative system according to the severity of epithelial disruption, leucocyte infiltration, edema, and vascular injection. The association between the cytokines and histopathological scores was assessed by linear regression analysis. RESULTS: All three concentrations of N-9 induced inflammatory cytokine production. The 4% N-9 application resulted in a consistent production of cytokines in a time-dependent manner. The cytokines reached peak expression on day three with the exception of IL-4 which reached its peak on day one. Histopathological examination of 4% N-9 treated cervicovaginal tissues on day three showed intensive damage in four mice (sores: 10 - 13) and moderate damage in one mouse (score: 8), which were significantly associated with both inflammatory cytokines IL-17A and IL-6 and anti-inflammatory cytokines IL-4 and IL-10. Interestingly, IL-17A showed significant positive association with inflammatory cytokine TNF-α (r = 0.739; P < 0.05), anti-inflammatory cytokines IL-10 (r = 0.804; P < 0.01) and IL-4 (r = 0.668; P < 0.05). CONCLUSIONS: Our data demonstrate that a panel of cytokines (IL-17A, IL-6, IL-4 and IL-10) could be used as surrogate biomarkers to predict the histopathological damage. Th17 may play a central role in orchestrating inflammatory cytokine responses. This Th17 based mouse model is cost-effective and suitable to assess the toxicity of candidate microbicides in preclinical studies.