Theranostic nanoparticles ZIF-8@ICG for pH/NIR-responsive drug-release and NIR-guided chemo-phototherapy against non-small-cell lung cancer.

This study leverages nanotechnology by encapsulating indocyanine green (ICG) and paclitaxel (Tax) using zeolitic imidazolate frameworks-8 (ZIF-8) as a scaffold. This study aims to investigate the chemo-photothermal therapeutic potential of ZIF-8@ICG@Tax nanoparticles (NPs) in the treatment of non-small cell lung cancer (NSCLC). An "all-in-one" theranostic ZIF-8@ICG@Tax NPs was conducted by self-assembly based on electrostatic interaction. First, the photothermal effect, stability, pH responsiveness, drug release, and blood compatibility of ZIF-8@ICG@Tax were evaluated through in vitro testing. Furthermore, the hepatic and renal toxicity of ZIF-8@ICG@Tax were assessed through in vivo testing. Additionally, the anticancer effects of these nanoparticles were investigated both in vitro and in vivo. Uniform and stable chemo-photothermal ZIF-8@ICG@Tax NPs had been successfully synthesized and had outstanding drug releasing capacities. Moreover, ZIF-8@ICG@Tax NPs showed remarkable responsiveness dependent both on pH in the tumor microenvironment and NIR irradiation, allowing for targeted drug delivery and controlled drug release. NIR irradiation can enhance the tumor cell response to ZIF-8@ICG@Tax uptake, thereby promoting the anti-tumor growth in vitro and in vivo. ZIF-8@ICG@Tax and NIR irradiation have demonstrated remarkable synergistic anti-tumor growth properties compared to their individual components. This novel theranostic chemo-photothermal NPs hold great potential as a viable treatment option for NSCLC.

Cultivated Enterococcus faecium B6 from children with obesity promotes nonalcoholic fatty liver disease by the bioactive metabolite tyramine.

Gut microbiota plays an essential role in nonalcoholic fatty liver disease (NAFLD). However, the contribution of individual bacterial strains and their metabolites to childhood NAFLD pathogenesis remains poorly understood. Herein, the critical bacteria in children with obesity accompanied by NAFLD were identified by microbiome analysis. Bacteria abundant in the NAFLD group were systematically assessed for their lipogenic effects. The underlying mechanisms and microbial-derived metabolites in NAFLD pathogenesis were investigated using multi-omics and LC-MS/MS analysis. The roles of the crucial metabolite in NAFLD were validated in vitro and in vivo as well as in an additional cohort. The results showed that Enterococcus spp. was enriched in children with obesity and NAFLD. The patient-derived Enterococcus faecium B6 (E. faecium B6) significantly contributed to NAFLD symptoms in mice. E. faecium B6 produced a crucial bioactive metabolite, tyramine, which probably activated PPAR-γ, leading to lipid accumulation, inflammation, and fibrosis in the liver. Moreover, these findings were successfully validated in an additional cohort. This pioneering study elucidated the important functions of cultivated E. faecium B6 and its bioactive metabolite (tyramine) in exacerbating NAFLD. These findings advance the comprehensive understanding of NAFLD pathogenesis and provide new insights for the development of microbe/metabolite-based therapeutic strategies.

Chemokines in diabetic eye disease.

BACKGROUND: Diabetic eye disease is a common micro-vascular complication of diabetes and a leading cause of decreased vision and blindness in people of working age worldwide.Although previous studies have shown that chemokines system may be a player in pathogenesis of diabetic eye disease, it is unclear which chemokines play the most important role.To date, there is no meta-analysis which has investigated the role of chemokines in diabetic eye disease.We hope this study will contribute to a better understanding of both the signaling pathways of the chemokines in the pathophysiological process, and more reliable therapeutic targets for diabetic eye disease. METHODS: Embase, PubMed, Web of Science and Cochrane Library systematically searched for relevant studies from inception to Sep 1, 2023. A random-effect model was used and standardized mean differences (SMDs) and 95% confidence intervals (CIs) were calculated to summarize the associated measure between chemokines concentrations and diabetic eye disease. Network meta-analysis to rank chemokines-effect values according to ranked probabilities. RESULTS: A total of 33 different chemokines involving 11,465 subjects (6559 cases and 4906 controls) were included in the meta-analysis. Results of the meta-analysis showed that concentrations of CC and CXC chemokines in the diabetic eye disease patients were significantly higher than those in the controls. Moreover, network meta-analysis showed that the effect of CCL8, CCL2, CXCL8 and CXCL10 were ranked highest in terms of probabilities. Concentrations of CCL8, CCL2, CXCL8 and CXCL10 may be associated with diabetic eye disease, especially in diabetic retinopathy and diabetic macular edema. CONCLUSION: Our study suggests that CCL2 and CXCL8 may play key roles in pathogenesis of diabetic eye disease. Future research should explore putative mechanisms underlying these links, with the commitment to develop novel prophylactic and therapeutic for diabetic eye disease.

Integrative metabolomics highlights gut microbiota metabolites as novel NAFLD-related candidate biomarkers in children.

Altered gut microbiota and metabolites are important for non-alcoholic fatty liver disease (NAFLD) in children. We aimed to comprehensively examine the effects of gut metabolites on NAFLD progression. We performed integrative metabolomics (untargeted discovery and targeted validation) analysis of non-alcoholic fatty liver (NAFL), non-alcoholic steatohepatitis (NASH), and obesity in children. Fecal samples were collected from 75 subjects in the discovery cohort (25 NAFL, 25 NASH, and 25 obese control children) and 145 subjects in an independent validation cohort (53 NAFL, 39 NASH, and 53 obese control children). Among 2,491 metabolites, untargeted metabolomics revealed a complete NAFLD metabolic map containing 318 increased and 123 decreased metabolites. Then, machine learning selected 65 important metabolites that can distinguish the severity of the NAFLD. Furthermore, precision-targeted metabolomics selected 5 novel gut metabolites from 20 typical metabolites. The functionality of candidate metabolites was validated in hepatocyte cell lines. In the end, this study annotated two novel elevated pathogenic metabolites (dodecanoic acid and creatinine) and a relationship between depleted protective gut microbiota (Butyricicoccus and Alistipes), increased inflammation (IL-1ß), lipid metabolism (TG), and liver function (ALT and AST). This study demonstrates the role of novel gut metabolites (dodecanoic acid and creatinine), as the fatty acid metabolism regulator contributing to NAFLD development through its influence on inflammation and liver function. IMPORTANCE: Altered gut microbiota and metabolites are a major cause of non-alcoholic fatty liver disease (NAFLD) in children. This study demonstrated a complete gut metabolic map of children with NAFLD, containing 318 increased and 123 decreased metabolites by untargeted metabolomic. Multiple validation approaches (machine learning and targeted metabolomic) selected five novel gut metabolites for targeted metabolomics, which can distinguish NAFLD status and severity. The gut microbiota (Butyricicoccus and Alistipes) and metabolites (creatinine and dodecanoic acid) were novel biomarkers associated with impaired liver function and inflammation and validated by experiments of hepatocyte cell lines. The data provide a better understanding of the importance of gut microbiota and metabolite alterations in NAFLD, which implies that the altered gut microbiota and metabolites may represent a potential target to prevent NAFLD development.

Effect of marine ecological compensation policy on coastal water pollution: Evidence from China based on a multiple period difference-in-differences approach.

With the development and utilization of marine resources, coastal water pollution has become increasingly prominent. The marine ecological compensation (MEC) is a key measure to balance the utilization of marine resources and the protection of marine environment. This paper attempts to explore the governance effect of MEC policy on coastal water pollution. Based on panel data of coastal cities in China from 2006 to 2020, a multiple period difference-in-differences (DID) model is used to estimate the impact of MEC policy on coastal water pollution. The research results show that the coastal water pollution has decreased significantly in the polit cities after implementing the MEC policy. The governance effect of MEC policy on coastal water pollution will last for three year and cover areas within a geographical distance of 200 km. The transmission mechanisms of MEC policy on coastal water pollution are the reduction of land-based sewage, marine technological progress and optimization of industrial structure. Further, this paper provides operational suggestions for strengthening the governance effect of MEC policy on coastal water pollution.

Identification of commensal gut bacterial strains with lipogenic effects contributing to NAFLD in children.

Gut microbiota is known to have a significant impact on nonalcoholic fatty liver disease (NAFLD), particularly in children with obesity. However, the specific functions of microbiota at the strain level in this population have not been fully elucidated. In this study, we successfully isolated and identified several commensal gut bacterial strains that were dominant in children with obesity and NAFLD. Among these, four novel isolates were found to have significant lipogenic effects in vitro. These strains exhibited a potential link to hepatocyte steatosis by regulating the expression of genes involved in lipid metabolism and inflammation. Moreover, a larger cohort analysis confirmed that these identified bacterial strains were enriched in the NAFLD group. The integrated analysis of these strains effectively distinguished NASH from NAFL. These four strains might serve as potential biomarkers in children with NAFLD. These findings provided new insights into the exploration of therapeutic targets for NAFLD.

Inherent mechanism of digital technology application empowered corporate green innovation: Based on resource allocation perspective.

Confronted with the treacherous digital wave and the aggressive environmental challenges, digital technology and green innovation are becoming critical tools for corporations to secure a sustainable advantage. The significance of identifying the role of digital technology application on corporate green innovation has been widely debated in the extant literature. Nevertheless, few researchers have investigated the inherent mechanism between them from the resource allocation perspective. From this research gap, we construct a theoretical model of the inherent mechanism by which digital technology application affects corporate green innovation, validate it using listed corporations in China from 2011 to 2020, and further investigate the differences in their inherent mechanism triggered by property rights and industry competition. We found that digital technology application is effective in promoting corporate green innovation. Stronger green innovation effect of digital technology application in state-owned corporations and those in highly competitive industries. The inherent mechanism between them manifest in optimizing the allocation of conventional labor, expanding the scale of non-conventional labor, and enhancing investment in R&D and digital infrastructure capital. We further explored that the impact of applying digital technology to optimize conventional labor allocation, expand non-conventional labor scale, and enhance investment in R&D and digital infrastructure capital is stronger for corporations in highly competitive industries than those in lowly competitive industries. The difference is that the role of the digital technology application in boosting capital investment in R&D does not differ across corporations with different property rights. Findings provide theoretical and empirical evidence on effectively developing the digital technology application's green innovative effects.

Does marine ecological compensation policy have improved marine carbon emission efficiency? Evidence from coastal areas in China.

The marine ecological compensation (MEC) policy is a scheme for protecting and restoring marine ecology. The previous studies have verified that the policy has improved the marine environment, ignoring the comprehensive performance of the economy and environment. Is the MEC policy actually effective for reducing marine carbon emission considering resource input and economy output? To address the question, this paper evaluates the impact of MEC policy on marine carbon emission efficiency by introducing the multi-stage difference-in-difference with propensity score matching. The results show that the MEC policy significantly improves marine carbon emission efficiency, and the positive effects dynamically enhance over time. Low-carbon technology innovation is confirmed to play a mediating role by which the MEC policy improves marine carbon emission efficiency. Therefore, gradually popularizing the MEC policy and accelerating low-carbon technology innovation are crucial measures to improve marine carbon emission efficiency and achieve sustainable marine development.

Exploring the asymmetric effects of urbanization and trade on CO2 emissions: fresh evidence from Pakistan.

Over the past few decades, rapid or unplanned urbanization has been a major problem for developing countries, affecting the environment very badly. Pakistan is also the fifth most vulnerable country in terms of environmental impact from socio-economic activities. Mostly, this type of research has been conducted across countries. So, this study intends to analyze the role of urbanization in energy consumption, economic growth, trade, and technology in carbon emissions by evaluating data from 1985 to 2021 in the context of Pakistan. Autoregressive distributed lag (ARDL) and non-linear autoregressive distributed lag (NARDL) with Granger causality assessment are employed to experimentally examine the variables' short and long-term associations. The ARDL result demonstrates that carbon dioxide (LCO2) emissions are increased by energy consumption (LEC) and technology (LTech), while they are decreased by economic growth (LEG) and trade (LT). In NARDL, rising and falling urbanization (LU) lead to increased carbon emissions, but insignificantly. Ascending LEC leads to increased emissions, whereas descending LEC leads to reduced emissions in the context of short and long-term asymmetry. Yet, the opposite is true in the case of trade: a rise in LT decreases emissions significantly, whereas a fall in LT increases emissions insignificantly. This paper highlights the importance of international trade for a country facing these challenges. This means that LT is at the forefront of emission-reducing technology. A Granger causality analysis results show that LU and LTech are two critical determinants of LCO2 emissions. Diagnostic tests ensure the model's reliability, ensuring that it could potentially be used without adverse intent. The research concludes that in order to minimize carbon dioxide emissions, the government should encourage the adoption of low-carbon technology through international trade (the exchange or import of low-carbon products) and implement policies tailored to urbanization and energy demand.

Auxiliary screening COVID-19 by computed tomography.

Background: The 2019 novel coronavirus (COVID-19) pandemic remains rampant in many countries/regions. Improving the positive detection rate of COVID-19 infection is an important measure for the control and prevention of this pandemic. This meta-analysis aims to systematically summarize the current characteristics of the computed tomography (CT) auxiliary screening methods for COVID-19 infection in the real world. Methods: Web of Science, Cochrane Library, Embase, PubMed, CNKI, and Wanfang databases were searched for relevant articles published prior to 1 September 2022. Data on specificity, sensitivity, positive/negative likelihood ratio, area under curve (AUC), and diagnostic odds ratio (dOR) were calculated purposefully. Results: One hundred and fifteen studies were included with 51,500 participants in the meta-analysis. Among these studies, the pooled estimates for AUC of CT in confirmed cases, and CT in suspected cases to predict COVID-19 diagnosis were 0.76 and 0.85, respectively. The CT in confirmed cases dOR was 5.51 (95% CI: 3.78-8.02). The CT in suspected cases dOR was 13.12 (95% CI: 11.07-15.55). Conclusion: Our findings support that CT detection may be the main auxiliary screening method for COVID-19 infection in the real world.

The effects of digital technology application and supply chain management on corporate circular economy: A dynamic capability view.

Developing circular economy capability has emerged as an effective response to environmental pressures on firms. The proliferation of digital technology has created uncertainty in developing corporate circular economy capability. Although research has begun to focus on the impact of digital technology application on corporate circular economy capability, empirical evidence remains absent. Simultaneously, few studies have concerned corporate circular economy capability obtained from supply chain management. The answer to the correlation between digital technology application, supply chain management, and circular economy capability is unavailable in current research. Based on a dynamic capability view, we investigate how digital technology application affects corporate circular economy capability through supply chain management regarding supply chain risk management, collaboration, and integration. This underlying mechanism was verified with 486 Chinese-listed industrial firms and the mediating model. The findings demonstrate that digital technology application and supply chain management significantly affect corporate circular economy capability. The mediating channel whereby the digital technology application provides circular economy capability can facilitate the positive impact of supply chain risk management and collaboration while undermining the adverse effects of supply chain integration. These mediating channels differentiate in heterogeneous growth firms and are more pronounced in low-growth groups. It presents an opportunity to use digital technology to reinforce the positive impact of supply chain risk management and collaboration and mitigate the negative effect of supply chain integration on circular economy capability.

Gene polymorphisms of inflammatory factors in liver cirrhosis.

Introduction: Studies on the association between gene polymorphisms of various inflammatory factors and liver cirrhosis have been inconsistent. The purpose of this study was to comprehensively summarize the available evidence on the association between gene polymorphisms of inflammatory factors and liver cirrhosis through a systematic review. Methods: We searched databases of PubMed, EMBASE, Web of Science, and the Cochrane Library for relevant articles published from building databases to 25 September 2022. A systematic review and meta-analysis were performed to investigate the association between gene polymorphisms of various inflammatory factors and liver cirrhosis. Odds ratios (OR) and 95% confidence intervals (CI) were used to assess the strength of association. Results: A total of 43 articles were included in the systematic review and of them, 22 articles were included in the meta-analysis. The gene polymorphisms of IL-10-1082 GA + AA vs. GG (OR = 1.43, 95% CI = 1.12-1.83), IL-10-1082 AA vs. GG (OR = 2.03, 95% CI = 1.36-3.02), IL-18 -137 GG vs. CC (OR = 3.84, 95% CI = 1.29-11.40), TGF-ß1 -509 T vs. C (OR = 2.52, 95% CI = 1.42-4.48), and IFN-γ +874 T vs. A (OR = 1.98, 95% CI = 1.32-2.98) were associated with liver cirrhosis significantly and no association was observed in other gene polymorphisms included in the meta-analysis. The review of inflammatory factors gene polymorphisms that were only reported by a single study indicated 19 gene polymorphisms were risk factors and 4 gene polymorphisms were protective factors for liver cirrhosis, while the association between other 27 gene polymorphisms and liver cirrhosis were not statistically significant. Discussion: This study suggests that IL-10 -1082G/A, IL-18 -137G/C, TGF-ß1 -509T/C, and IFN-γ +874T/A were potentially associated with the risk of liver cirrhosis susceptibility. These findings may provide comprehensive evidence for genetic susceptibility and immunogenetic pathology of liver cirrhosis.

Identifying the Novel Gut Microbial Metabolite Contributing to Metabolic Syndrome in Children Based on Integrative Analyses of Microbiome-Metabolome Signatures.

The pathogenesis of gut microbiota and their metabolites in the development of metabolic syndrome (MS) remains unclear. This study aimed to evaluate the signatures of gut microbiota and metabolites as well as their functions in obese children with MS. A case-control study was conducted based on 23 MS children and 31 obese controls. The gut microbiome and metabolome were measured using 16S rRNA gene amplicon sequencing and liquid chromatography-mass spectrometry. An integrative analysis was conducted, combining the results of the gut microbiome and metabolome with extensive clinical indicators. The biological functions of the candidate microbial metabolites were validated in vitro. We identified 9 microbiota and 26 metabolites that were significantly different from the MS and the control group. The clinical indicators of MS were correlated with the altered microbiota Lachnoclostridium, Dialister, and Bacteroides, as well as with the altered metabolites all-trans-13,14-dihydroretinol, DL-dipalmitoylphosphatidylcholine (DPPC), LPC 24: 1, PC (14:1e/10:0), and 4-phenyl-3-buten-2-one, etc. The association network analysis further identified three MS-linked metabolites, including all-trans-13,14-dihydroretinol, DPPC, and 4-phenyl-3-buten-2-one, that were significantly correlated with the altered microbiota. Bio-functional validation showed that all-trans-13, 14-dihydroretinol could significantly upregulate the expression of lipid synthesis genes and inflammatory genes. This study identified a new biomarker that may contribute to MS development. These findings provided new insights regarding the development of efficient therapeutic strategies for MS. IMPORTANCE Metabolic syndrome (MS) has become a health concern worldwide. Gut microbiota and metabolites play an important role in human health. We first endeavored to comprehensively analyze the microbiome and metabolome signatures in obese children and found the novel microbial metabolites in MS. We further validated the biological functions of the metabolites in vitro and illustrated the effects of the microbial metabolites on lipid synthesis and inflammation. The microbial metabolite all-trans-13, 14-dihydroretinol may be a new biomarker in the pathogenesis of MS, especially in obese children. These findings were not available in previous studies, and they provide new insights regarding the management of metabolic syndrome.

Comparing the impacts of carbon tax and carbon emission trading, which regulation is more effective?

While many literatures have examined the influence of environmental regulation policy, which environmental regulation policy is more effective is still controversial. Taking China and two different economic regions as samples, we explore the effect of two popular environmental regulation policies, that is carbon tax and carbon emission trading, by a multi-regional environmental dynamic computable general equilibrium model. The results show that for the economic development, the carbon emission trading outperforms the carbon tax for the carbon emission trading will generate the lower economic cost. But for the emission reductions, the carbon tax outperforms the carbon emission trading for the total emissions from 2020 to 2030 are smallest when introducing carbon tax policy. We further study the effect of environmental regulation on different industries. It is found that the environmental regulation has a more obvious effect on energy industry, heavy industry and transport service industry.

Dynamic decomposition and regional differences of urban emergy ecological footprint in the Yangtze River Delta.

Maintaining the balance between the economy and the environment and further realizing sustainable economic development has become an important topic. The existing research has not used the emergy ecological footprint model to calculate the ecological footprint of the Yangtze River Delta, nor have they used the factor decomposition method to analyze the influencing factors affecting the ecological footprint change. The differences in the emergy ecological footprint among different provinces and cities have not been studied. This study reported the emergy ecological footprint in the Yangtze River Delta region from 2008 to 2020. The Logarithmic Mean Divisia Index model (LMDI) was constructed to decompose the change of emergy ecological footprint into the land structure, technology, economy, and population factors to screen the main influencing factors. Gini coefficient and Theil index were used to further analyze the main influencing factors which caused the differences in the footprints at regional and intra-regional levels. The results show that: (1) The fluctuation of the per capita emergy ecological footprint in the Yangtze River Delta region has decreased, while the fluctuation of the per capita emergy ecological carrying capacity has increased. However, the per capita emergy ecological deficit is still high, where the sustainable development of the regional economy is not optimistic. (2) Technology and economy are the main factors affecting the emergy ecological footprint of the Yangtze River Delta. (3) Regional differences refer to the differences between different provinces, while intra-regional differences refer to the difference between cities within the province. In the Yangtze River Delta region, the intra-regional differences are the main reasons causing the technical differences, while the regional differences are the main reasons causing the economic differences. The significance of the study is that scientific analysis of the sustainable development status and utilization degree of resources and environment are vital for realizing the sustainable development of the Yangtze River Delta region. By decomposing the factors affecting sustainable development, the regional differences of these factors could be analyzed and serve as a theoretical basis for local governments to formulate policies to minimise the emergy ecological footprint of a targeted region.

Glucagon-like peptide-1 receptor agonists as add-on therapy to insulin for type 1 diabetes mellitus.

Background: To assess the efficacy and safety of glucagon-like peptide-1 receptor agonists (GLP-1 RAs) used as an adjunct to insulin therapy in adults with type 1 diabetes. Methods: A search of electronic databases (Medline, Embase, and the Cochrane Central Register of Controlled Trials) from 1 January 1950 to 23 May 2021 was conducted to find randomized controlled trials. The primary outcome was the change in HbA1c. Eight efficacy and six safety secondary endpoints were evaluated via meta-analysis. Weighted mean difference (WMD) and odds ratio (OR), alongside 95% confidence interval (CI), were calculated using the random effects model. Results: Among 1,379 candidate studies, 11 trials comprising 2,856 participants satisfied the inclusion criteria. Overall, GLP-1 RA adjunctive therapy reduced HbA1c by -0.21% (95% CI, -0.33 to -0.10), weight by -4.04 kg (-4.8 to -3.27), systolic pressure by -2.57 mmHg (-4.11 to -1.03), and diastolic blood pressure by -1.02 mmHg (-1.99 to -0.06). In addition, there was a decrease in prandial insulin dose (WMD, -4.23 IU; 95% CI, -5.26 to -3.20), basal insulin dose (-2.40 IU; -3.93 to -0.87), and total insulin dose (-5.73 IU; -10.61 to -0.86). Moreover, GLP-1 RAs did not increase the incidence of severe hypoglycemia, diabetic ketoacidosis, or severe adverse events. However, GLP-1 RAs increased the incidence of gastrointestinal adverse events (OR, 2.96; 95% CI, 2.33-3.77). Conclusion: Our meta-analysis of randomized clinical trials suggests moderate beneficial effects of GLP-1 RAs on the metabolic profile in patients with type 1 diabetes, without an increased risk of serious adverse events. Clinical Trial Registration: https://www.crd.york.ac.uk/PROSPERO; Identifier: CRD 42020199840.

Association between inflammatory markers and non-alcoholic fatty liver disease in obese children.

Background: Given the high prevalence of non-alcoholic fatty liver disease (NAFLD) in obese children, non-invasive markers of disease to date are still limited and worth exploring. Objective: This study aimed to evaluate the association between inflammatory markers and NAFLD in obese children. Methods: We performed a case-control study in Hunan Children's Hospital from September 2020 to September 2021. Study participants were children with obesity diagnosed with NAFLD by abdominal ultrasound examination. Mean platelet volume (MPV), platelet distribution width (PDW), neutrophil, lymphocyte, monocyte, and platelet counts were extracted from medical records and inflammatory cytokines were measured by enzyme-linked immunosorbent assay (ELISA). Multivariable logistic regression analysis was performed to evaluate the association between inflammatory markers and NAFLD. We also used receiver operating characteristic curve analysis to assess the discriminative ability of inflammatory cytokines for NAFLD. Results: Two hundred and sixty-seven obese children were enrolled, including 176 NAFLD patients and 91 simple obesity controls. Multivariable logistic model indicated that increased interleukin (IL)-1ß [odds ratio (OR) = 1.15, 95% confidence interval (CI): 1.04-1.27], IL-6 (OR = 1.28, 95% CI: 1.07-1.53), and IL-17 (OR = 1.04, 95% CI: 1.02-1.07) levels were significantly associated with NAFLD. In contrast, we observed non-significant associations for IL-8, IL-12, IL-21, IL-32, tumor necrosis factor-α (TNF-α), neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), lymphocyte to monocyte ratio (LMR), mean platelet volume (MPV), and platelet distribution width (PDW) with NAFLD. The area under the curves (AUCs) of IL-1ß, IL-6, and IL-17 to discriminate obese children with or without NAFLD were 0.94, 0.94, and 0.97, respectively. Conclusions: Our results indicated that IL-1ß, IL-6, and IL-17 levels were significantly associated with NAFLD. These inflammatory cytokines may serve as non-invasive markers to determine the development of NAFLD and potentially identify additional avenues for therapeutic intervention.

Auxiliary Screening COVID-19 by Serology.

Background: The 2019 novel coronavirus (COVID-19) pandemic remains rampant in many countries/regions. Improving the positive detection rate of COVID-19 infection is an important measure for control and prevention of this pandemic. This meta-analysis aims to systematically summarize the current characteristics of the auxiliary screening methods by serology for COVID-19 infection in real world. Methods: Web of Science, Cochrane Library, Embase, PubMed, CNKI, and Wangfang databases were searched for relevant articles published prior to May 1st, 2022. Data on specificity, sensitivity, positive/negative likelihood ratio, area under curve (AUC), and diagnostic odds ratio (dOR) were calculated purposefully. Results: Sixty-two studies were included with 35,775 participants in the meta-analysis. Among these studies, the pooled estimates for area under the summary receiver operator characteristic of IgG and IgM to predicting COVID-19 diagnosis were 0.974 and 0.928, respectively. The IgG dOR was 209.78 (95% CI: 106.12 to 414.67). The IgM dOR was 78.17 (95% CI: 36.76 to 166.25). Conclusion: Our findings support serum-specific antibody detection may be the main auxiliary screening methods for COVID-19 infection in real world.