Historical and contemporary applications of moxibustion at Gaohuang (BL 43)

The relevant passages on moxibustion at Gaohuang (BL 43) in the Chinese Medical Code (fifth edition), and relevant literature on moxibustion at Gaohuang (BL 43) published up to January 17th, 2023 in the CNKI, Wanfang, VIP, SinoMed, PubMed, Web of Science, EMbase and Scopus were searched. The localization and selection methods of Gaohuang (BL 43), types of moxibustion at Gaohuang (BL 43), moxibustion quantity, and the main clinical indications were analyzed. As a result, a total of 227 ancient passages were included, with 51 related to moxibustion quantity and 171 related to clinical indications, encompassing 33 different diseases. A total of 50 modern articles were reviewed, covering 26 different diseases. The key of selection methods of Gaohuang (BL 43) is exploring sensitivity around the scapula, with direct moxibustion as a preferred technique; the optimal moxibustion dose is detenuined by arrival and withdrawal of deqi, and primary indications were related to syndrome of heart and lung deficiencies.

Structure and Functions of Endophytic Bacterial Communities Associated with Sphagnum Mosses and Their Drivers in Two Different Nutrient Types of Peatlands

Sphagnum mosses are keystone plant species in the peatland ecosystems that play a crucial role in the formation of peat, which shelters a broad diversity of endophytic bacteria with important ecological functions. In particular, methanotrophic and nitrogen-fixing endophytic bacteria benefit Sphagnum moss hosts by providing both carbon and nitrogen. However, the composition and abundance of endophytic bacteria from different species of Sphagnum moss in peatlands of different nutrient statuses and their drivers remain unclear. This study used 16S rRNA gene amplicon sequencing to examine endophytic bacterial communities in Sphagnum mosses and measured the activity of methanotrophic microbial by the 13C-CH4 oxidation rate. According to the results, the endophytic bacterial community structure varied among Sphagnum moss species and Sphagnum capillifolium had the highest endophytic bacterial alpha diversity. Moreover, chlorophyll, phenol oxidase, carbon contents, and water retention capacity strongly shaped the communities of endophytic bacteria. Finally, Sphagnum palustre in Hani (SP) had a higher methane oxidation rate than S. palustre in Taishanmiao. This result is associated with the higher average relative abundance of Methyloferula an obligate methanotroph in SP. In summary, this work highlights the effects of Sphagnum moss characteristics on the endophytic bacteriome. The endophytic bacteriome is important for Sphagnum moss productivity, as well as for carbon and nitrogen cycles in Sphagnum moss peatlands.

Efficacy and safety of bicyclol for treating patients with antituberculosis drug-induced liver injury

BACKGROUND: Bicyclol was used for treating idiosyncratic acute drug-induced liver injury (DILI) in a phase II trial. This study was aimed at evaluating the efficacy and safety of bicyclol 25 and 50 mg thrice a day (TID) for treating acute DILI caused by anti-TB drugs in the light of the trial results.METHODS: We analysed clinical data of patients with TB drug-induced DILI in the trial database. The primary endpoint was reduction in serum alanine aminotransferase (ALT) levels after 4 weeks of treatment compared to baseline.RESULTS: Overall, 148 patients were included, with respectively 48, 52 and 48 patients included in the control (456 mg polyene phosphatidylcholine TID), high-dose (50 mg bicyclol TID) and low-dose (25 mg bicyclol TID) groups. ALT levels decreased by respectively â-"149.0 (IQR â-"299.3 to â-"98.3 (), â-"225.5 (IQR â-"309.3 to â-"181.8 ) and â-"242.5 (IQR â-"364.8 to â-"153.8) U/L in the control, high-dose and low-dose groups (P < 0.001). The ALT normalisation rates at weeks 1, 2, 4, 6 and 8 were higher in the high- and low-dose groups, while adverse events and serious adverse events were similar across groups.CONCLUSIONS: Bicyclol (25 and 50 mg TID) is effective and safe in treating anti-TB DILI, and bicyclol 50 mg TID showed higher efficacy.

Preparation of NaYF4:Tm, Yb, and Gd Luminescent Nanorods/SiO2 Nanospheres Composite Thin Film and Its Application in Perovskite Solar Cells

In this study, we aim to minimize light loss and achieve high power conversion efficiencies (PCE) in perovskite solar cells (PSCs) by employing a spectral conversion film component with antireflection properties. In our scheme, NaYF4:Tm, Yb, and Gd luminescent nanorod/silica nanosphere-based thin films are applied on CH3NH3PbI3 PSCs to improve the device efficiency. The film was fabricated by spin coating an aged silica sol containing NaYF4:Tm, Yb, and Gd luminescent nanorods. The size and the spectral conversion properties of the NaYF4:Tm, Yb, and Gd luminescent nanorods were controlled by tuning the Gd3+ ion concentration. The microstructure and the transmittance properties of the thin film were controlled by changing the concentration of NaYF4:Tm, Yb, and Gd luminescent nanorod in silica sol. The thin films have excellent spectral conversion properties while exhibiting a maximum transmittance. The photovoltaic performance of PSCs with NaYF4:Tm, Yb, and Gd luminescent nanorod/silica nanosphere-based thin films was systematically investigated. The light transmittance was optimized to 95.1% on a cleaned glass substrate, which resulted in an average increase of about 3.0% across the broadband range of 400-800 nm. The optimized films widen the spectrum of light absorbed by conventional PSC cells and reduce reflections across a broad range, enhancing the photovoltaic performance of PSCs. As a result, the PCE of the PSC increased from 14.51% for the reference device without a thin film to 15.67% for the PSC device with an optimized thin film. This study presents a comprehensive solution to the problem of Fresnel reflection and spectral response mismatch of the PSCs, which provides new ideas for the light management of PSCs.

HuR-induced circ_0082319 contributes to hepatocellular carcinoma by elevating PTK2 through miR-505-3p

The aim of the present research is to explore the biological function and mechanism of circ_0082319 in HCC progression. Circ_0082319, microRNA-505-3p (miR-505-3p), protein tyrosine kinase 2 (PTK2), and human antigen R (HuR, also known as ELAVL1) level were detected by real-time quantitative polymerase chain reaction. Cell viability, proliferation, apoptosis, invasion, and angiogenesis were measured using (4-5-dimethylthiazol-2-yl)-2,5-diphenyl tetrazolium bromide (MTT) assay, 5-ethynyl-2'-deoxyuridine (EdU), flow cytometry, transwell, and tube formation assays. Protein levels of c-Myc, MMP2, PTK2, and HuR were examined using western blot. The glycolysis levels were assessed using specific kits. Binding between miR-505-3p and circ_0082319 or PTK2 was predicted by Starbase and verified by a dual-luciferase reporter and RNA immunoprecipitation assays. The biological role of circ_0082319 on HCC tumor growth was examined using xenograft tumor model in vivo. Circ_0082319, PTK2, and HuR were highly expressed, and miR-505-3p was reduced in HCC samples and cell lines. Moreover, the knockdown of circ_0082319 might repress HCC cell proliferation, invasion, angiogenesis, and induce apoptosis in vitro. In mechanism, circ_0082319 served as a sponge of miR-505-3p to regulate PTK2 expression. HuR expedited circ_0082319 expression in HCC cells. HuR-mediated circ_0082319 might accelerate HCC cell proliferation, invasion, angiogenesis, and suppress apoptosis by the miR-505-3p/PTK2 axis, hinting at a promising therapeutic target for HCC treatment.

Magnetic-responsive solid acid catalysts for esterification

Two kinds of magnetic-responsive solid acid catalysts were designed and prepared via an in situ polymerization of poly(ionic liquid)s (PILs) on the surface of Fe3O4@SiO2 NPs for the catalyzed esterification of palmitic acid and methanol. They were characterized using XRD, TGA, VSM, NMR spectroscopy, FTIR spectroscopy, XPS, SEM, and GC techniques. The results confirmed the preparation of solid acid catalysts. Meanwhile, they possessed excellent catalytic activity and recyclability. The effect of the reaction conditions on the esterification was investigated through single-factor analyses, and the proposed catalytic mechanism of the prepared solid acid catalysts in the esterification are also discussed. Under the optimal reaction conditions (10 wt% catalyst, 6 h, 70 °C, and molar ratio (MR) of methanol to palmitic acid of 12 : 1), the conversion rate of palmitic acid could reach 94% and 79% with Fe3O4@SiO2-poly(1-vinyl-3-ethylimidazolium phosphotungstate) (Fe3O4@SiO2-P([VLIM]PW)) and Fe3O4@SiO2-poly(1-vinylimidazole-3-propyl sulfonate) (Fe3O4@SiO2-P([VLIM]SO3)) NPs serving as catalysts, respectively. Furthermore, the Fe3O4@SiO2-P([VLIM]PW) NPs could still maintain a high catalytic activity even after being reused 5 times without significant deactivation.

Variations in the archaeal community and associated methanogenesis in peat profiles of three typical peatland types in China

BACKGROUND

Peatlands contain about 500 Pg of carbon worldwide and play a dual role as both a carbon sink and an important methane (CH₄) source, thereby potentially influencing climate change. However, systematic studies on peat properties, microorganisms, methanogenesis, and their interrelations in peatlands remain limited, especially in China. Therefore, the present study aims to investigate the physicochemical properties, archaeal community, and predominant methanogenesis pathways in three typical peatlands in China, namely Hani (H), Taishanmiao (T), and Ruokeba (R) peatlands, and quantitively determine their CH₄ production potentials.

RESULTS

These peatlands exhibited high water content (WC) and total carbon content (TC), as well as low pH values. In addition, R exhibited a lower dissolved organic carbon concentration (DOC), as well as higher total iron content (TFe) and pH values compared to those observed in T. There were also clear differences in the archaeal community between the three peatlands, especially in the deep peat layers. The average relative abundance of the total methanogens ranged from 10 to 12%, of which Methanosarcinales and Methanomicrobiales were the most abundant in peat samples (8%). In contrast, Methanobacteriales were mainly distributed in the upper peat layer (0-40 cm). Besides methanogens, Marine Benthic Group D/Deep-Sea Hydrothermal Vent Euryarchaeotic Group 1 (MBG-D/DHVEG-1), Nitrosotaleales, and several other orders of Bathyarchaeota also exhibited high relative abundances, especially in T. This finding might be due to the unique geological conditions, suggesting high archaeal diversity in peatlands. In addition, the highest and lowest CH₄ production potentials were 2.38 and 0.22 μg g^-1 d^-1 in H and R, respectively. The distributions of the dominant methanogens were consistent with the respective methanogenesis pathways in the three peatlands. The pH, DOC, and WC were strongly correlated with CH₄ production potentials. However, no relationship was found between CH₄ production potential and methanogens, suggesting that CH₄ production in peatlands may not be controlled by the relative abundance of methanogens.

CONCLUSIONS

The results of the present study provide further insights into CH₄ production in peatlands in China, highlighting the importance of the archaeal community and peat physicochemical properties for studies on methanogenesis in distinct types of peatlands.

Biosynthetic Enzyme-guided Disease Correlation Connects Gut Microbial Metabolites Sulfonolipids to Inflammatory Bowel Disease Involving TLR4 Signaling

The trillions of microorganisms inhabiting the human gut are intricately linked to human health. At the species abundance level, correlational studies have connected specific bacterial taxa to various diseases. While the abundances of these bacteria in the gut serve as good indicators for disease progression, understanding the functional metabolites they produce is critical to decipher how these microbes influence human health. Here, we report a unique biosynthetic enzyme-guided disease correlation approach to uncover microbial functional metabolites as potential molecular mechanisms in human health. We directly connect the expression of gut microbial sulfonolipid (SoL) biosynthetic enzymes to inflammatory bowel disease (IBD) in patients, revealing a negative correlation. This correlation is then corroborated by targeted metabolomics, identifying that SoLs abundance is significantly decreased in IBD patient samples. We experimentally validate our analysis in a mouse model of IBD, showing that SoLs production is indeed decreased while inflammatory markers are increased in diseased mice. In support of this connection, we apply bioactive molecular networking to show that SoLs consistently contribute to the immunoregulatory activity of SoL-producing human microbes. We further reveal that sulfobacins A and B, two representative SoLs, primarily target Toll-like receptor 4 (TLR4) to mediate immunomodulatory activity through blocking TLR4's natural ligand lipopolysaccharide (LPS) binding to myeloid differentiation factor 2, leading to significant suppression of LPS-induced inflammation and macrophage M1 polarization. Together, these results suggest that SoLs mediate a protective effect against IBD through TLR4 signaling and showcase a widely applicable biosynthetic enzyme-guided disease correlation approach to directly link the biosynthesis of gut microbial functional metabolites to human health.

Big data from small animals: integrating multi-level environmental data into the Dog Aging Project

Environmental exposures can have large impacts on health outcomes. While many resources have been dedicated to understanding how humans are influenced by the environment, few efforts have been made to study the role of built and natural environmental features on animal health. The Dog Aging Project (DAP) is a longitudinal community science study of aging in companion dogs. Using a combination of owner-reported surveys and secondary sources linked through geocoded coordinates, DAP has captured home, yard and neighbourhood variables for over 40,000 dogs. The DAP environmental data set spans four domains: the physical and built environment; chemical environment and exposures; diet and exercise; and social environment and interactions. By combining biometric data, measures of cognitive function and behaviour, and medical records, DAP is attempting to use a big-data approach to transform the understanding of how the surrounding world affects the health of companion dogs. In this paper, the authors describe the data infrastructure developed to integrate and analyse multi-level environmental data that can be used to improve the understanding of canine co-morbidity and aging.

Solid-Phase Polymerization Using Anion-Exchange Resin Can Almost Completely Crosslink Hemoglobin to Prepare Hemoglobin-Based Oxygen Carriers

Introduction

A limitation of hemoglobin-based oxygen carriers (HBOCs) as oxygen therapeutics is unpolymerized hemoglobin, which induces vasoconstriction leading to hypertension. The removal of unpolymerized hemoglobin from polymerized hemoglobin (PolyHb) is complex, expensive, and time-consuming.

Methods

Herein, we developed a method to completely polymerize hemoglobin almost without unpolymerized hemoglobin. Hemoglobin was adsorbed on the anion-exchange resin Q Sepharose Fast Flow or DEAE Sepharose Fast Flow, and acetal, a crosslinker prepared from glutaraldehyde and ethylene glycol, was employed to polymerize the hemoglobin. The polymerization conditions, including reaction time, pH, resin type, and molar ratios of glutaraldehyde to ethylene glycol and hemoglobin to acetal, were optimized. The blood pressure and blood gas of mice injected with PolyHb were monitored as well.

Results

The optimal polymerization condition of PolyHb was when the molar ratio of glutaraldehyde to ethylene glycol was 1:20, and the molar ratio of 10 mg/mL hemoglobin adsorbed on anion-exchange resin to glutaraldehyde was 1:300 for 60 min. Under optimized reactive conditions, hemoglobin was almost completely polymerized, with <1% hemoglobin remaining unpolymerized, and the molecular weight of PolyHb was more centrally distributed. Furthermore, hypertension was not induced in mice by PolyHb, and there were also no pathological changes observed in arterial oxygen, blood gas, electrolytes, and some metabolic indicators.

Conclusion

The findings of this study indicate that the use of solid-phase polymerization and acetal is a highly effective and innovative approach to HBOCs, resulting in the almost completely polymerized hemoglobin. These results offer promising implications for the development of new methods for preparing HBOCs.

Refactoring and Heterologous Expression of Class III Lanthipeptide Biosynthetic Gene Clusters Lead to the Discovery of N,N-Dimethylated Lantibiotics from Firmicutes

Class III lanthipeptides are an emerging subclass of lanthipeptides, representing an underexplored trove of new natural products with potentially broad chemical diversity and important biological activity. Bioinformatic analysis of class III lanthipeptide biosynthetic gene cluster (BGC) distribution has revealed their high abundance in the phylum Firmicutes. Many of these clusters also feature methyltransferase (MT) genes, which likely encode uncommon class III lanthipeptides. However, two hurdles, silent BGCs and low-yielding pathways, have hindered the discovery of class III lanthipeptides from Firmicutes. Here, we report the design and construction of a biosynthetic pathway refactoring and heterologous overexpression strategy which seeks to overcome these hurdles, simultaneously activating and increasing the production of these Firmicutes class III lanthipeptides. Applying our strategy to MT-containing BGCs, we report the discovery of new class III lanthipeptides from Firmicutes bearing rare N,N-dimethylations. We reveal the importance of the first two amino acids in the N-terminus of the core peptide in controlling the MT dimethylation activity. Leveraging this feature, we engineer class III lanthipeptides to enable N,N-dimethylation, resulting in significantly increased antibacterial activity. Furthermore, the refactoring and heterologous overexpression strategy showcased in this study is potentially applicable to other ribosomally synthesized and post-translationally modified peptide BGCs from Firmicutes, unlocking the genetic potential of Firmicutes for producing peptide natural products.

Improved equations to estimate GFR in Chinese children with chronic kidney disease

BACKGROUND

There is currently no specific equation for estimating glomerular filtration rate (GFR) in Chinese children with chronic kidney disease (CKD). The commonly used equations are less robust than expected; we therefore sought to derive more appropriate equations for GFR estimation.

METHODS

A total of 751 Chinese children with CKD were divided into 2 groups, training group (n = 501) and validation group (n = 250). In the training group, a univariate linear regression model was used to calculate predictability of variables associated with GFR. Residuals were compared to determine multivariate predictability of GFR in the equation. Standard regression techniques for Gaussian data were used to determine coefficients of GFR-estimating equations after logarithmic transformation of measured GFR (iGFR), height/serum creatinine (height/Scr), cystatin C, blood urea nitrogen (BUN), and height. These were compared with other well-known equations using the validation group.

RESULTS

Median ^99mTc-DTPA GFR was 90.1 (interquartile range: 67.3-108.6) mL/min/1.73 m² in training dataset. Our CKD equation, eGFR (mL/min/1.73 m²) = 91.021 [height(m)/Scr(mg/dL)/2.7]^0.443 [1.2/Cystatin C(mg/L)]^0.335 [13.7/BUN (mg/dL)]^-0.095 [ 0.991^male] [height(m)/1.4]^0.275, was derived. This was further tested in the validation group, with percentages of eGFR values within 30% and 15% of iGFR (P30 and P15) of 76.00% and 48.40%, respectively. For centres with no access to cystatin C, a creatinine-based equation, eGFR (mL/min/1.73 m²) = 89.674 [height(m)/Scr(mg/dL)/2.7]^0.579 [ 1.007^male] [height(m)/1.4]^0.187, was derived, with P30 and P15 73.60% and 49.20%, respectively. These were significantly higher compared to other well-known equations (p < 0.05).

CONCLUSION

We developed equations for GFR estimation in Chinese children with CKD based on Scr, BUN and cystatin C. These are more accurate than commonly used equations in this population.

The Gut Microbiota-Brain Axis: Potential Mechanism of Drug Addiction

As a chronic encephalopathy, drug addiction is responsible for millions of deaths per year around the world. The gut microbiome is a crucial component of the human microbiome. Through dynamic bidirectional communication along the 'gut-brain axis,' gut bacteria cooperate with their hosts to regulate the development and function of the immune, metabolic, and nervous systems. These processes may affect human health because some brain diseases are related to the composition of gut bacteria, and disruptions in microbial communities have been implicated in neurological disorders. We review the compositional and functional diversity of the gut microbiome in drug addiction. We discuss intricate and crucial connections between the gut microbiota and the brain involving multiple biological systems and possible contributions by the gut microbiota to neurological disorders. Finally, the treatment of probiotics and fecal transplantation was summarized. This was done to further understand the role of intestinal microecology in the pathogenesis of drug addiction and to explore new methods for the treatment of drug addiction.

Pirfenidone for the prevention of radiation-induced lung injury in patients with locally advanced oesophageal squamous cell carcinoma: a protocol for a randomised controlled trial

INTRODUCTION

Radiation-induced lung injury (RILI) is one of the most clinically-challenging toxicities and dose-limiting factors during and/or after thoracic radiation therapy for oesophageal squamous cell carcinoma (ESCC). With limited effective protective drugs against RILI, the main strategy to reduce the injury is strict adherence to dose-volume restrictions of normal lungs. RILI can manifest as acute radiation pneumonitis with cellular injury, cytokine release and cytokine recruitment to inflammatory infiltrate, and subsequent chronic radiation pulmonary fibrosis. Pirfenidone inhibits the production of inflammatory cytokines, scavenges-free radicals and reduces hydroxyproline and collagen formation. Hence, pirfenidone might be a promising drug for RILI prevention. This study aims to evaluate the efficacy and safety of pirfenidone in preventing RILI in patients with locally advanced ESCC receiving chemoradiotherapy.

METHODS AND ANALYSIS

This study is designed as a randomised, placebo-controlled, double-blinded, single-centre phase 2 trial and will explore whether the addition of pirfenidone during concurrent chemoradiation therapy (CCRT) could prevent RILI in patients with locally advanced ESCC unsuitable for surgery. Eligible participants will be randomised at 1:1 to pirfenidone and placebo groups. The primary endpoint is the incidence of grade >2 RILI. Secondary endpoints include the incidence of any grade other than grade >2 RILI, time to RILI occurrence, changes in pulmonary function after CCRT, completion rate of CCRT, disease-free survival and overall survival. The follow-up period will be 1 year. In case the results meet the primary endpoint of this trial, a phase 3 multicentre trial with a larger sample size will be required to substantiate the evidence of the benefit of pirfenidone in RILI prevention.

ETHICS AND DISSEMINATION

This study was approved by the Ethics Committee of Fujian Union Hospital (No. 2021YF001-02). The findings of the trial will be disseminated through peer-reviewed journals, and national and international conference presentations.

TRIAL REGISTRATION NUMBER

ChiCTR2100043032.

Sleep duration and metabolic body size phenotypes among Chinese young workers

The evidence linking sleep duration and metabolic body size phenotypes is limited, especially in young adulthood. In this study, we aimed to examine the association between sleep duration and metabolic body size phenotypes among Chinese young workers and investigate whether discrepancies exist among shift and non-shift workers. A cross-sectional study was performed between 2018 and 2019 in Wuhan, China and 7,376 young adults aged 20-35 years were included. Self-reported sleep duration was coded into four groups: <7, 7-8, 8-9, and ≥9 h per day. Participants were classified into four metabolic body size phenotypes according to their body mass index and metabolic health status: metabolically healthy normal weight, metabolically unhealthy normal weight, metabolically healthy overweight/obesity (MHO), and metabolically unhealthy overweight/obesity (MUO). Multinomial logistic regression models were used to explore the associations between sleep duration and metabolic body phenotypes. Compared with those who slept 7-8 h each night, those with sleep duration <7 h per day had higher odds of MHO (OR 1.27, 95% CI: 1.02-1.56) and MUO (OR 1.22, 95% CI: 1.03-1.43), irrespective of multiple confounders. Stratification analyses by shift work showed that the association between short nighttime sleep and increased odds of MUO was only observed in shift workers (OR 1.26, 95% CI 1.03-1.54). Sleep duration is independently associated with metabolic body size phenotypes among Chinese young adults, while shift work could possibly modulate the association. These results may provide evidence for advocating adequate sleep toward favorable metabolic body size phenotypes in young workers.

Integrated meta-analysis, data mining, and animal experiments to investigate the efficacy and potential pharmacological mechanism of a TCM tonic prescription, Jianpi Tongmai formula, in depression

BACKGROUND

Depression is a common psychiatric disorder and has become a growing public health issue. Traditional Chinese medicine (TCM) tonic prescriptions have been clinically proven to be an effective treatment for depression.

PURPOSE

This study aimed to identify the core prescription to improve depression among the numerous TCM tonic prescriptions.

METHODS AND RESULTS

First, we used meta-analysis to clarify the efficacy and safety of tonic prescriptions in depression among 37 studies and identified 16 effective tonic prescriptions. Second, we conducted data mining to analyze the tonic prescriptions and identified important nourishing herbs. Third, based on the data mining results, we constructed a Delphi experiment to investigate the effects of these important nourishing herbs in depression. Combining the results of Delphi expert questionnaires and weight analysis, a core TCM tonic prescription, Jianpi Tongmai formula (JPTMF) for the treatment of depression, was constructed and was composed of invigorating Spleen qi herbs. Fourth, we verified that JPTMF can improve chronic unpredictable mild stress (CUMS) induced depression-like behaviors in mice. Fifth, we predicted that the mechanism of JPTMF in the treatment of depression was mainly associated with chemical synaptic transmission and neuroinflammation through network pharmacology and determined preliminary confirmation through animal experiments.

CONCLUSION

This study was undertaken to evaluate the efficacy of TCM tonic prescriptions on depression and construct a core TCM tonic prescription, JPTMF, through a progressive analysis. Network pharmacology and animal experiments verified the reliability of JPTMF. The proposal of JPTMF is of innovative significance, and may provide far-reaching implications for improving depression by using nourishing herbs. Furthermore, the integrated methods applied in this study provide an innovative paradigm for the standardization and scientific basis of TCM research.

Exploring Tourism Efficiency and Its Drivers to Understand the Backwardness of the Tourism Industry in Gansu, China

Gansu Province is rich in tourism resources, and it is the hometown of the "copper galloping horse", which is the logo of China's tourism. However, the scale and revenues of tourism in Gansu province are still at a low level. This paper first evaluated the tourism efficiency of 14 cities and prefectures of Gansu Province in China from 2011 to 2019 using the super-slack-based measure (Super-SBM) and then investigated the internal driving mechanism of the efficiency change through the Global Malmquist-Luenberger (GML) index and its decomposition, and finally analyzed the external influencing elements of tourist efficiency by the Tobit model. The results revealed that the tourism efficiency of Gansu Province had increased rapidly during the study period, especially after 2016, the rising range increased. From 2011 to 2019, the cumulative changes in GML index, technological change (TC), and efficiency change (EC) of tourism efficiency in Gansu Province were 5.053, 4.145 and 1.160, respectively, indicating that the improvement of tourism efficiency in Gansu province is mainly due to technological progress. The regression results of the Tobit model show that the status of the tourism industry, trade openness, information level, and technological innovation level can significantly promote tourism efficiency in the province. At the same time, upgrading the industrial structure and the improvement of greening coverage inhibit tourism efficiency. However, the impact of the economic development level on the tourism efficiency of Gansu Province is not apparent. According to the research results, this paper puts forward corresponding suggestions to promote the development of tourism in Gansu Province. This study is crucial for hospitality, tourism, and policy sectors to understand the underlying factors and promote the healthy development of the tourism industry in Gansu Province.

[Relationship between preoperative inflammatory indexes and prognosis of patients with rectal cancer and establishment of prognostic nomogram prediction model]

Objective: To compare the prognostic evaluation value of preoperative neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), and systemic immune-inflammation index (SII) in rectal cancer patients. Nomogram survival prediction model based on inflammatory markers was constructed. Methods: The clinical and survival data of 585 patients with rectal cancer who underwent radical resection in the First Affiliated Hospital of Xi'an Jiao tong University from January 2013 to December 2016 were retrospectively analyzed. The optimal cut-off values of NLR, PLR, LMR, and SII were determined by the receiver operating characteristic (ROC) curve. The relationship between different NLR, PLR, LMR and SII levels and the clinic pathological characteristics of the rectal cancer patients were compared. Cox proportional risk model was used for univariate and multivariate regression analysis. Nomogram prediction models of overall survival (OS) and disease-free survival (DFS) of patients with rectal cancer were established by the R Language software. The internal validation and accuracy of the nomograms were determined by the calculation of concordance index (C-index). Calibration curve was used to evaluate nomograms' efficiency. Results: The optimal cut-off values of preoperative NLR, PLR, LMR and SII of OS for rectal cancer patients were 2.44, 134.88, 4.70 and 354.18, respectively. There was statistically significant difference in tumor differentiation degree between the low NLR group and the high NLR group (P<0.05), and there were statistically significant differences in T stage, N stage, TNM stage, tumor differentiation degree and preoperative carcinoembryonic antigen (CEA) level between the low PLR group and the high PLR group (P<0.05). There was statistically significant difference in tumor differentiation degree between the low LMR group and the high LMR group (P<0.05), and there were statistically significant differences in T stage, N stage, TNM stage, tumor differentiation degree and preoperative CEA level between the low SII group and the high SII group (P<0.05). The multivariate Cox regression analysis showed that the age (HR=2.221, 95%CI: 1.526-3.231), TNM stage (Ⅲ grade: HR=4.425, 95%CI: 1.848-10.596), grade of differentiation (HR=1.630, 95%CI: 1.074-2.474), SII level (HR=2.949, 95%CI: 1.799-4.835), and postoperative chemoradiotherapy (HR=2.123, 95%CI: 1.506-2.992) were independent risk factors for the OS of patients with rectal cancer. The age (HR=2.107, 95%CI: 1.535-2.893), TNM stage (Ⅲ grade, HR=2.850, 95%CI: 1.430-5.680), grade of differentiation (HR=1.681, 95%CI: 1.150-2.457), SII level (HR=2.309, 95%CI: 1.546-3.447), and postoperative chemoradiotherapy (HR=1.837, 95%CI: 1.369-2.464) were independent risk factors of the DFS of patients with rectal cancer. According to the OS and DFS nomograms predict models of rectal cancer patients established by multivariate COX regression analysis, the C-index were 0.786 and 0.746, respectively. The calibration curve of the nomograms showed high consistence of predict and actual curves. Conclusions: Preoperative NLR, PLR, LMR and SII levels are all correlated with the prognosis of rectal cancer patients, and the SII level is an independent prognostic risk factor for patients with rectal cancer. Preoperative SII level can complement with the age, TNM stage, differentiation degree and postoperative adjuvant chemoradiotherapy to accurately predict the prognosis of rectal cancer patients, which can provide reference and help for clinical decision.

Identification and Biosynthesis of Pro-Inflammatory Sulfonolipids from an Opportunistic Pathogen Chryseobacterium gleum

Sulfonolipids (SoLs) are a unique class of sphingolipids featuring a sulfonate group compared to other sphingolipids. However, the biological functions and biosynthesis of SoLs in human microbiota have been poorly understood. Here, we report the discovery and isolation of SoLs from a human opportunistic pathogen Chryseobacterium gleum DSM16776. We show for the first time the pro-inflammatory activity of SoLs with mice primary macrophages. Furthermore, we used both in vivo heterologous expression and in vitro biochemical reconstitution to characterize two enzymes, cysteate synthase and cysteate fatty acyltransferase, that are specifically involved in the biosynthesis of SoLs rather than other sphingolipids. Based on these two SoL-specific enzymes, our bioinformatics analysis showed a wider distribution of SoL biosynthetic genes in microbes that had not been reported as SoL producers. We selected four of these strains and verified their cysteate synthase and cysteate fatty acyltransferase activities in SoL biosynthesis. Considering this wider distribution of SoL-specific biosynthetic enzymes in the context of SoLs' activity in mediating inflammation, a common and fundamental biological process, it may suggest a more comprehensive function of SoLs at play.

Correlational networking guides the discovery of unclustered lanthipeptide protease-encoding genes

Bacterial natural product biosynthetic genes, canonically clustered, have been increasingly found to rely on hidden enzymes encoded elsewhere in the genome for completion of biosynthesis. The study and application of lanthipeptides are frequently hindered by unclustered protease genes required for final maturation. Here, we establish a global correlation network bridging the gap between lanthipeptide precursors and hidden proteases. Applying our analysis to 161,954 bacterial genomes, we establish 5209 correlations between precursors and hidden proteases, with 91 prioritized. We use network predictions and co-expression analysis to reveal a previously missing protease for the maturation of class I lanthipeptide paenilan. We further discover widely distributed bacterial M16B metallopeptidases of previously unclear biological function as a new family of lanthipeptide proteases. We show the involvement of a pair of bifunctional M16B proteases in the production of previously unreported class III lanthipeptides with high substrate specificity. Together, these results demonstrate the strength of our correlational networking approach to the discovery of hidden lanthipeptide proteases and potentially other missing enzymes for natural products biosynthesis.

The protective effect of mangiferin on osteoarthritis: An in vitro and in vivo study

Mangiferin is a kind of polyphenol chemical compound separated from these herbal medicines of Mangifera indica L., Anemarrhena asphodeloides Bge. and Belamcanda chinensis L., which has anti-inflammatory, anti-virus, and other physiological activities without toxic effects. Osteoarthritis (OA) is a chronic disease that is also a kind of arthritis disease in which articular cartilage or bones under the joint is damaged. In addition, artificial replacements are required in severe cases. At present, there are not too much researches on the potential biological activities of mangiferin that plays a protective role in the treatment of OA. In this study, we evaluated the protective effect of mangiferin on osteoarthritis (OA) in vitro and in vivo. First, the effect of different concentrations of mangiferin on rat chondrocytes was determined by MTT assay. Second, the effects of mangiferin on the expression levels of matrix metalloproteinase (MMP)-13, TNF alpha, Collagen II, Caspase-3, and cystatin-C in interleukin-1beta (IL-1beta)-induced rat chondrocytes were examined by the real-time polymerase chain reaction in vitro, meanwhile the effects of mangiferin on the nuclear factor kappa-B (NF-kappaB) signaling pathway were also investigated by Western Blot. Finally, the anti-osteoarthritic protective effect of mangiferin was evaluated in the rat model by anterior cruciate ligament transection (ACLT) combined with bilateral ovariectomy-induced OA in vivo. The results showed that the mangiferin was found to inhibit the expression of MMP-13, TNF-alpha, and Caspase-3 which also increased the expression of Collagen II and cystatin-C in IL 1beta induced rat chondrocytes. In addition, IL-1beta-induced activation of nuclear factor kappa-B (NF-kappaB) and the degradation of inhibitor of kappaB (IkappaB)-alpha were suppressed by mangiferin. For the in vivo study in a rat model of OA, 100 microl of mangiferin was administered by intra-articular injections for rats, the results showed that the cartilage degradation was suppressed by mangiferin through Micro CT and Histological Examination. According to both in vitro and in vivo results, mangiferin has a protective effect in the treatment of OA which may be a promising therapeutic agent for OA.

Analgesic and Anti-Arthritic Activities of Polysaccharides in Chaenomeles speciosa

Chaenomeles speciosa (Sweet) Nakai has been long used as a folk medicine for rheumatic diseases treatment. This study aimed to investigate the effects and underlying mechanism of polysaccharides in Chaenomeles speciosa (CSP) on the pro-inflammatory cytokines and MAPK pathway in complete Freund’s adjuvant (CFA)-induced arthritis and LPS-induced NR8383 cells. We used acetic acid (HAc)-induced writhing and CFA induced paw edema to determine the analgesic activity and anti-inflammatory activity, respectively. CFA rats were administered CSP (12.5, 25.0, and 50.0 mg/kg) daily for 3 weeks via oral gavage. The analgesic test was done using three different doses of the extract (50, 100, and 200 mg/kg). The anti-arthritic evaluation involved testing for paw swelling, swelling inhibition, and histological analysis in CFA rats. Finally, ELISA, western blot, qRT-PCR were done to determine the effect of CSP on the activation of MAPK pathway, production of pro-inflammatory cytokines in lipopolysaccharide (LPS)-stimulated NR838 macrophage cells. In pain models, oral uptake of CSP greatly reduced pain perception. Furthermore, in CFA rats, CSP substantially decreased paw swelling as well as synovial tissue proliferation and inflammatory cell infiltration. In addition, CSP was shown to inhibit pro-inflammatory cytokines (TNF-α, IL-1β, and COX-2) as well as JNK and ERK1/2 phosphorylation in LPS-stimulated NR8383 cells. Thus, pro-inflammatory cytokine secretion and MAPK signaling downregulation promoted the analgesic and anti-arthritic effects of CSP.

Does China's carbon emission trading policy improve regional energy efficiency?-an analysis based on quasi-experimental and policy spillover effects

Carbon emission trading policy is of great importance for addressing climate change and reducing carbon emissions. Reducing carbon emissions could further affect energy efficiency (EE). Based on the data from 30 provinces in China from 2006 to 2017, this paper first calculated EE by using the super slack-based model (Super-SBM) and then analysed the theoretical mechanism of the impact of carbon emission trading policy on EE. We also used a difference-in-difference (DID) model and mediation effect model for empirical analysis. Finally, we established the spatial difference-in-difference (SDID) model to test the policy spillover effects of carbon emission trading policy. The results showed that the high EE areas have gradually shifted to the central and eastern regions during 2006-2017 in China. The EE value in the pilot area of the carbon emission trading policy was obviously higher than that in the non-pilot area. Carbon emission trading policy had a significant positive effect on improving EE overall. In particular, green technology innovation and energy structure both had positive mediation effects on carbon emission trading policy affecting EE. However, the industrial structuring adjustment had no significant mediation effect in its influencing mechanism. Additionally, the spatial spillover effects test showed that the carbon emission trading policy had a positive effect on the EE of the pilot areas but a negative effect on that of the non-pilot areas.

Expansion of Fcγ Receptor IIIa-Positive Macrophages, Ficolin 1-Positive Monocyte-Derived Dendritic Cells, and Plasmacytoid Dendritic Cells Associated With Severe Skin Disease in Systemic Sclerosis

OBJECTIVE

In this study, we sought a comprehensive understanding of myeloid cell types driving fibrosis in diffuse cutaneous systemic sclerosis (dcSSc) skin.

METHODS

We analyzed the transcriptomes of 2,465 myeloid cells from skin biopsy specimens from 12 dcSSc patients and 10 healthy control subjects using single-cell RNA sequencing. Monocyte-derived dendritic cells (mo-DCs) were assessed using immunohistochemical staining and immunofluorescence analyses targeting ficolin-1 (FCN-1).

RESULTS

A t-distributed stochastic neighbor embedding analysis of single-cell transcriptome data revealed 12 myeloid cell clusters, 9 of which paralleled previously described healthy control macrophage/DC clusters, and 3 of which were dcSSc-specific myeloid cell clusters. One SSc-associated macrophage cluster, highly expressing Fcγ receptor IIIA, was suggested on pseudotime analysis to be derived from normal CCR1+ and MARCO+ macrophages. A second SSc-associated myeloid population highly expressed monocyte markers FCN-1, epiregulin, S100A8, and S100A9, but was closely related to type 2 conventional DCs on pseudotime analysis and identified as mo-DCs. Mo-DCs were associated with more severe skin disease. Proliferating macrophages and plasmacytoid DCs were detected almost exclusively in dcSSc skin, the latter clustering with B cells and apparently derived from lymphoid progenitors.

CONCLUSION

Transcriptional signatures in these and other myeloid populations indicate innate immune system activation, possibly through Toll-like receptors and highly up-regulated chemokines. However, the appearance and activation of myeloid cells varies between patients, indicating potential differences in the underlying pathogenesis and/or temporal disease activity in dcSSc.

Structure and function encoding of a bidirectional activatable synergetic DNA machine for speeded and ultrasensitive determination of microRNAs

This work describes the unique design of a bidirectional activatable synergetic DNA machine (BAS-DNA machine) for speeded and ultrasensitive determination of microRNA-21 (miR-21), a well-known biomarker for biomedical research and early diagnosis of lung cancer. The BAS-DNA machine is composed by a pair of track strands (Track 1 and Track 2) encoding with two regions in the opposite direction for miR-21 recognition. Introduction of miR-21 can hybridize either with Track 1 or with Track 2 to activate the BAS-DNA machine with a synergistic effect for speeded amplifying the fluorescence signal. Moreover, compared with common DNA machine with only one switch for exogenous target recognition, the BAS-DNA machine with two switches for miR-21 binding allows the speeded and strong operation of the autonomous strand scission, replication, and displacement on Track 1 and Track 2 simultaneously. This behavior makes the BAS-DNA machine powerful for ultrasensitive, specific, and fast screening of miR-21 even from real biological samples, and the fluorescence signal was found to be linear from 1 pM to 10 nM with a detection limit of 703.6 fM. We envision this BAS-DNA machine with its superior assay performance will provide a new avenue for simple, sensitive, and affordable biomedical assays.

Methylprednisolone accelerate chest computed tomography absorption in COVID-19: A three-centered retrospective case control study from China

BACKGROUND

Based on the results of some large randomized controlled trials (RCTs) confirmed the efficacy of corticosteroids in coronavirus disease 2019 (COVID-19), corticosteroids have been included in World Health Organization guidelines, but remain controversial.

AIM

To investigate the efficacy and safety of low-to-moderate dose (30 to 40 mg/d) short-term methylprednisolone for COVID-19 patients.

METHODS

The clinical data of 70 patients diagnosed with COVID-19 who received antiviral therapy with Arbidol for 7-10 d before admission but had no obvious absorption on chest computed tomography (CT) imaging were retrospectively analyzed. Arbidol (as the control group) and methylprednisolone (as the corticosteroid group) were given respectively after admission. After treatment, chest CT was reexamined to evaluate the absorption of pulmonary lesions. Additionally, we evaluated and compared the lymphocyte count, erythrocyte sedimentation rate (ESR), interleukin-6(IL-6), serum ferritin, lactate dehydrogenase (LDH), creatine kinase-MB (CK-MB), hypersensitive C-reactive protein (hs-CRP) and D-dimer levels, and also analyzed the incidence of toxic and side effects.

RESULTS

All patients in the corticosteroid group had varying degrees of CT absorption, which was significantly better than that in the control group (CT obvious absorption rate: 89.47% vs 12.5%, P < 0.05). The average daily dose and course of methylprednisolone in the patients with significant improvement on chest CT was (38.55 ± 13.17) mg and (6.44 ± 1.86) d respectively. During the treatment, the lymphocyte count, ESR, IL-6, serum ferritin, LDH, CK-MB, hs-CRP and D-dimer levels all improved gradually, indicating that both Arbidol and methylprednisolone therapy were contributed to improving the condition of COVID-19 patients. The corticosteroid regimen did not prolong the clearance time of severe acute respiratory syndrome coronavirus 2. There were no severe adverse reactions such as gastrointestinal bleeding, secondary severe infection, hypertension, diabetic ketoacidosis, mental disorders or electrolyte disorders during the whole corticosteroid treatment process.

CONCLUSION

Low-to-moderate dose short-term methylprednisolone can accelerate the chest CT imaging absorption of COVID-19 so as to improve symptoms and alleviate the condition in a short term, reduce the hospital stay, meanwhile avoid severe COVID-19 phases. The protocol has been proven to be effective and safe in clinical use.

Transition-Metal-Catalyzed Hydroxylation Reaction of Aryl Halide for the Synthesis of Phenols

Phenols are important components of pharmaceuticals, biologically active natural products, and materials. Here, we briefly discuss recent advances in catalytic hydroxylation reactions for the synthesis of phenols, with particular attention to our recent work. H2O is proved to be an efficient hydroxide reagent in converting (hetero)aryl halides into the corresponding phenols under synergistic organophotoredox and nickel catalysis. Aryl bromides as well as less reactive aryl chlorides show high reactivity in this catalytic system. This methodology can be applied to the efficient synthesis of diverse phenols and allows the hydroxylation of multifunctional pharmaceutically relevant aryl halides.

1 Introduction

2 Representative Methods for Transition-Metal-Catalyzed Hydroxylation of (Hetero)Aryl Halides

3 Organophotoredox/Ni Dual Catalytic Hydroxylation of Aryl Halides with Water

4 Summary and Outlook

LINC00641 induces the malignant progression of colorectal carcinoma through the miRNA-424-5p/PLSCR4 feedback loop

OBJECTIVE

To illustrate the role of LINC00641 in inducing the malignant progression of colorectal cancer (CRC) through the miRNA-424-5p/PLSCR4 feedback loop.

PATIENTS AND METHODS

LINC00641 levels in paired CRC and non-tumoral tissues were detected by quantitative real-time polymerase chain reaction (qRT-PCR). Its prognostic potential in CRC was assessed by Kaplan-Meier method. Changes in proliferative and migratory abilities of HCT116 and SW620 cells transfected with si-LINC00641 were evaluated by 5-Ethynyl-2'- deoxyuridine (EdU), cell counting kit-8 (CCK-8) and transwell assay. The feedback loop LINC00641/miRNA-424-5p/PLSCR4 was identified through Dual-Luciferase reporter assay and its involvement in CRC progression was finally explored by rescue experiments.

RESULTS

LINC00641 was upregulated in CRC tissues, which was an unfavorable factor to the overall survival of CRC. Proliferative and migratory abilities of HCT116 and SW620 cells were inhibited by knockdown of LINC00641. LINC00641 could competitively bind miRNA-424-5p, thereby abolishing its inhibitory effect on PLSCR4 expression. Knockdown of PLSCR4 could inhibit proliferative and migratory abilities of HCT116 and SW620 cells.

CONCLUSIONS

LINC00641 stimulates proliferative and migratory abilities of CRC through the miRNA-424-5p/PLSCR4 feedback loop.

Ferrous hemoglobin and hemoglobin-based oxygen carriers acting as a peroxidase can inhibit oxidative damage to endothelial cells caused by hydrogen peroxide

Oxidative damage caused by the ferryl hemoglobin is one of the major clinical adverse reactions of hemoglobin-based oxygen carriers (HBOCs), while the production of reactive oxygen species in a pathological state can oxidize hemoglobin (HbFe²⁺ ) to ferryl Hb, which can then enter the pseudoperoxidase cycle, making hemoglobin highly toxic. In this study, we found that ferrous hemoglobin and polymerized porcine hemoglobin (one of the HBOCs) have the peroxidase activity different from the pseudoperoxidase activity of ferric hemoglobin. Ferrous hemoglobin can catalyze the reaction of tyrosine (Tyr) with hydrogen peroxide. In addition, the results also indicated that ferrous hemoglobin and pPolyHb have a strong inhibitory effect on the pseudoperoxidase activity of ferric hemoglobin. Therefore, hydrogen peroxide was consumed in a large amount, which greatly prevented hemoglobin from becoming oxidized and entering the pseudoperoxidase cycle, thus inhibiting ferryl Hb toxicity. We further cultured human umbilical vein endothelial cells and monitored cell morphology, viability, cell cycle, apoptosis, lactate dehydrogenase (LDH) release, and malondialdehydes (MDAs) formation when incubated with H₂ O₂ , Tyr, and HbFe²⁺ . HbFe²⁺ and pPolyHb reduced cell cycle arrest, apoptosis, LDH release, and MDA formation. These results showed that reducing oxidative damage induced by H₂ O₂ and converted hemoglobin from a molecule that is toxic to one that inhibits oxidative damage, suggesting a new strategy for development of a safer HBOCs.

Grincamycins P-T: Rearranged Angucyclines from the Marine Sediment-Derived Streptomyces sp. CNZ-748 Inhibit Cell Lines of the Rare Cancer Pseudomyxoma Peritonei

While marine natural products have been investigated for anticancer drug discovery, they are barely screened against rare cancers. Thus, in our effort to discover potential drug leads against the rare cancer pseudomyxoma peritonei (PMP), which currently lacks effective drug treatments, we screened extracts of marine actinomycete bacteria against the PMP cell line ABX023-1. This effort led to the isolation of nine rearranged angucyclines from Streptomyces sp. CNZ-748, including five new analogues, namely, grincamycins P-T (1-5). The chemical structures of these compounds were unambiguously established based on spectroscopic and chemical analyses. Particularly, grincamycin R (3) possesses an S-containing α-l-methylthio-aculose residue, which was discovered in nature for the first time. All of the isolated compounds were evaluated against four PMP cell lines and some exhibited low micromolar inhibitory activities. To identify a candidate biosynthetic gene cluster (BGC) encoding the grincamycins, we sequenced the genome of the producing strain, Streptomyces sp. CNZ-748, and compared the BGCs detected with those linked to the production of angucyclines with different aglycon structures.

Correlation between microRNA-766 expression in patients with advanced gastric cancer and the efficacy of platinum-containing chemotherapy

OBJECTIVE

We aimed at observing the correlation between microRNA-766 expression and the efficacy of platinum-containing chemotherapy in patients with stage IV gastric cancer (GCa).

PATIENTS AND METHODS

Tissue specimens were obtained from 100 patients with stage IV GCa who received platinum-based chemotherapy, and microRNA-766 expression in these samples was examined by quantitative real-time polymerase chain reaction (qPCR) analysis. Survival analysis was carried out through Kaplan-Meier test. The influencing factors of survival were assessed through COX univariate and multivariate regression.

RESULTS

GCa tissues contained significant lower expression of microRNA-766 than adjacent tissues. The degree of tumor differentiation and peritoneal metastasis were confirmed to have great relevance to microRNA-766 level. Patients with high microRNA-766 expression have better chemotherapy efficacy and longer progression-free survival.

CONCLUSIONS

Our study shows for the first time that the highly expressed microRNA-766 in tumor tissues of patients with stage Ⅳ GCa predicts better platinum-containing chemotherapy efficacy and prognosis.

TTN/TP53 mutation might act as the predictor for chemotherapy response in lung adenocarcinoma and lung squamous carcinoma patients

BACKGROUND

Chemotherapy is the preferred treatment in many types of cancer including lung cancer. However, most of patients resist chemotherapy resulting in disease progressive and recurrence. Titin (TTN) mutation is proved as a beneficial role in lung squamous carcinoma (LUSC), but the predictive role on chemotherapy resistance of lung cancer is still limited and discussable.

METHODS

Clinical information and related somatic mutation profiles were obtained from The Cancer Genome Atlas (TCGA) database and analyzed by R-Studio using R-package. Overall survival (OS) curve and the association between gene mutation and clinical features were determined by GraphPad 6.0 software.

RESULTS

Available data including 563 lung adenocarcinoma (LUAD) and 505 LUSC subjects were included in this study. Among all patients, 205 out of 563 LUAD and 326 out of 505 LUSC patients displayed TTN gene mutation. When comparing the clinical features in TTN-mutated patients to patients without TTN mutation who received chemotherapy, the tumors were always located in the upper lung in LUAD patients with TTN mutation and most of TTN-mutated subjects were at low pathological stage, which was not observed in LUSC patients. However, patients with TTN-mutation, particularly missense mutation, had a higher chemosensitivity and longer OS period than that patients without TTN mutation in both LUAD and LUSC. Of note, LUAD and LUSC patients possessed favorable OS and better chemotherapy response benefiting from TTN/tumor protein 53 (TP53) double mutation compared to TTN and TP53 mutation alone, respectively. Additionally, TTN/TP53 double mutation-initiated high rate of chemotherapy response were largely concentrated within LUAD and LUSC patients whose anatomic neoplasm subdivision were located in the upper lung.

CONCLUSIONS

Collectively, TTN/TP53 co-mutation is possibly served as an effective predictor for OS and chemotherapy response in lung cancer.

Structure and distribution of nitrite-dependent anaerobic methane oxidation bacteria vary with water tables in Zoige peatlands

The recently discovered nitrite-dependent anaerobic methane oxidation (n-damo) is an important methane sink in natural ecosystems performed by NC10 phylum bacteria. However, the effect of water table (WT) gradient due to global change on n-damo bacterial communities is not well studied in peatlands. Here, we analysed the vertical distribution (0-100 cm) of n-damo bacterial communities at three sites with different WTs of the Zoige peatlands in the Qinghai-Tibetan Plateau. Using an n-damo bacterial specific 16S rRNA gene clone library, we obtained 25 operational taxonomic units (OTUs) that could be divided into Groups A, B, C, D and E (dominated by A and B). The dominant group was Group B at the high (OTU14 and OTU20) and intermediate (OTU7 and OTU8) WT sites and Group A was dominant at the low WT site (OTU6 and OTU5). Using high-throughput sequencing, we observed that n-damo bacteria mainly distributed in subsurface soils (50-60 and 20-30 cm), and their relative abundances were higher at the low WT site than at the other two sites. In addition, we found that pH and nitrate were positively correlated with Group A, while total organic carbon, total nitrogen and ammonia were positively associated with Group B. Our study provides new insights into our understanding of the response of n-damo bacteria to WT gradient in peatlands, with important implications for global change.

High level production of amorphadiene using Bacillus subtilis as an optimized terpenoid cell factory

The anti-malarial drug artemisinin, produced naturally in the plant Artemisia annua, experiences unstable and insufficient supply as its production relies heavily on the plant source. To meet the massive demand for this compound, metabolic engineering of microbes has been studied extensively. In this study, we focus on improving the production of amorphadiene, a crucial artemisinin precursor, in Bacillus subtilis. The expression level of the plant-derived amorphadiene synthase (ADS) was upregulated by fusion with green fluorescent protein (GFP). Furthermore, a co-expression system of ADS and a synthetic operon carrying the 2-C-methyl-D-erythritol-4-phosphate (MEP) pathway genes was established. Subsequently, farnesyl pyrophosphate synthase (FPPS), a key enzyme in formation of the sesquiterpene precursor farnesyl pyrophosphate (FPP), was expressed to supply sufficient substrate for ADS. The consecutive combination of these features yielded a B. subtilis strain expressing chromosomally integrated GFP-ADS followed by FPPS and a plasmid encoded synthetic operon showing a stepwise increased production of amorphadiene. An experimental design-aided systematic medium optimization was used to maximize the production level for the most promising engineered B. subtilis strain, resulting in an amorphadiene yield of 416 ± 15 mg/L, which is 20-fold higher than that previously reported in B. subtilis and more than double the production in Escherichia coli or Saccharomyces cerevisiae on a shake flask fermentation level.

Hyperprogressive disease in advanced cancer patients with liver metastasis treated with PD-1 inhibitors: two case reports

Hyperprogressive disease (HPD) is a phenomenon defined as extremely rapid tumor progression within a short time following immunotherapy. To date, distinguishing which subgroups may be eligible for anti-PD-1/PD-L1 treatment has presented a clinical challenge. Moreover, no sufficiently convincing biomarkers of HPD have been identified. Herein, we present two cases of cancer patients who suffered from liver metastasis before immunotherapy. A 63-year-old man presented with cough and pain in right collarbone. He was finally diagnosed as suffering from right upper lobe adenocarcinoma with cTxN3M1c and stage IVB. First-line carboplatin plus pemetrexed chemotherapy combined with sintilimab anti-PD-1 was initiated after a multi-disciplinary discussion. In the second case, a 46-year-old female was diagnosed as moderately differentiated cervical squamous cell carcinoma. Widespread recurrence 2 years after extensive total hysterectomy for early cervical carcinoma. After six cycles of first-line chemotherapy and radiotherapy, the disease progressed and new-onset liver metastasis was detected. Pembrolizumab plus abraxane was administered as second-line therapy. After the first cycle of anti-PD-1 therapy, in both cases, an extremely rapid radiological progression was observed in the liver metastases with obvious symptoms, while the primary tumor site and other metastatic lesions remained stable or shrunken. These aberrations were confirmed as HPD. The risk of HPD appears to be higher in patients with liver metastases. We believe that further research will pave the way for the discovery of more significant biomarkers of HPD.

Early L-T4 intervention improves fetal heart development in pregnant rats with subclinical hypothyroidism rats by activating BMP4/Smad4 signaling pathway

BACKGROUND

It is unclear whether the offspring of subclinical hypothyroidism (SCH) pregnant rats still have abnormal cardiac development, and whether early intervention with L-T4 can improve the abnormality of these offspring. Therefore, the aim of this study was to investigate the effect of early L-T4 intervention on the heart development of offspring of SCH pregnant rats and its possible molecular mechanism.

METHODS

Eighty female Wistar rats were randomly divided into Sham group (placebo control), SCH group, LT4-E10 group (L-T4 treatment started on the 10th day of gestation), and LT4-E13 group (L-T4 treatment started on the 13th day of gestation). Each group was further divided into E16 (16th day of gestation), E18 (18th day of gestation), P5 (5th day postnatal day), and P10 (10th day postnatal day) subgroups. The levels of serum TT4 and TSH, the ratio of heart weight to body weight of offspring rats, the expression of metabolic enzymes, and the histopathology of cardiomyocytes were determined. To elucidate the effects of L-T4 on cardiac development of offspring of SCH pregnant rats, the expression levels of GATA4, Nkx2-5 and proteins involved in BMP4/Smad4 signaling pathway were detected by immunohistochemistry, real time quantitative polymerase chain reaction and Western blotting to elucidate the molecular mechanism of L-T4 regulating the heart development of the offspring of SCH pregnant rats.

RESULTS

Compared with Sham group, serum TSH was significantly increased in SCH pregnant rats. Moreover, early L-T4 intervention significantly reduced the levels of serum TSH. Compared with the offspring in the SCH group, early L-T4 intervention significantly increased the heart weight, heart weight to body weight ratio, the activities of succinate dehydrogenase (SDH), Na⁺/K⁺-ATPase and Ca²⁺-ATPase, but reduced myocardial cell shrinkage and nuclear staining, hyperemia/congestion and vacuolar degeneration. In addition, early L-T4 intervention not only significantly increased the mRNA and protein expression of Gata4 and Nkx2-5, but also increased the protein expression involved in BMP4/Smad4 signal pathway in myocardium of the offspring of SCH pregnant rats.

CONCLUSIONS

Early L-T4 intervention can regulate the cardiac development of the offspring of SCH pregnant rats by activating BMP4/Smad4 signaling pathway and increasing the expression of Gata4 and Nkx2-5 proteins.

Dynamic Partition Gaussian Crack Detection Algorithm Based on Projection Curve Distribution

When detecting the cracks in the tunnel lining image, due to uneven illumination, there are generally differences in brightness and contrast between the cracked pixels and the surrounding background pixels as well as differences in the widths of the cracked pixels, which bring difficulty in detecting and extracting cracks. Therefore, this paper proposes a dynamic partitioned Gaussian crack detection algorithm based on the projection curve distribution. First, according to the distribution of the image projection curve, the background pixels are dynamically partitioned. Second, a new dynamic partitioned Gaussian (DPG) model was established, and the set rules of partition boundary conditions, partition number, and partition corresponding threshold were defined. Then, the threshold and multi-scale Gaussian factors corresponding to different crack widths were substituted into the Gaussian model to detect cracks. Finally, crack morphology and the breakpoint connection algorithm were combined to complete the crack extraction. The algorithm was tested on the lining gallery captured on the site of the Tang-Ling-Shan Tunnel in Liaoning Province, China. The optimal parameters in the algorithm were estimated through the Recall, Precision, and Time curves. From two aspects of qualitative and quantitative analysis, the experimental results demonstrate that this algorithm could effectively eliminate the effect of uneven illumination on crack detection. After detection, Recall could reach more than 96%, and after extraction, Precision was increased by more than 70%.

Epigenomic and genomic analysis of transcriptome modulation in skin cutaneous melanoma

Skin cutaneous melanoma (SKCM) is characterized by both epigenetic DNA methylation (MET) abnormalities and genomic copy number variations (CNVs). The resulting transcriptome dysregulation promotes progression of many cancers. In this study, DNA copy numbers and MET, as well as mRNA expression, were examined in 466 SKCM samples from The Cancer Genome Atlas. Our results indicate that CNVs-correlated (CNVcor) genes and MET-correlated (METcor) genes are coregulated to a remarkable degree. In addition, integrative multi-omics analysis of both METcor and CNVcor genes revealed four SKCM subtypes with differing prognoses; these subtypes were validated with independent data. Immune cell scores were markedly elevated in the iC1 subtype, which had the best prognosis. Immune cell infiltration correlated with DNA MET or CNV level in SKCM. In the iC3 subtype, which was associated with the most aggressive SKCM cases, FAM135B gene mutation frequencies were increased, while CD8A, GBP5, KIAA0040, and SAMHD1 expression were downregulated, suggesting that these genes play important roles in cancer development and immune responses. Taken together, the results of our epigenetic and genomic transcriptome modulation analysis improve our understanding of SKCM pathobiology and may aid in the development of more effective therapies.

Effects of Substrates on the Production of Fruiting Bodies and the Bioactive Components by Different Cordyceps militaris Strains (Ascomycetes)

Cordyceps militaris is a type of food and medicinal species and is widely cultured in Asia. Substrate and strain are important factors for the production of fruiting bodies and bioactive components contents in fruiting bodies of C. militaris. This study aimed to select the excellent strains and suitable substrates by six strains of C. militaris cultivated on rice, wheat, and tussah (Antheraea pernyi) pupae. The results showed that the rice and wheat were suitable for fruiting body formation of strain CM3, with yields of 23.19 and 19.07 g per bottle, and biological efficiency of strain CM3 were 62.26% and 54.48%, respectively, which were significantly higher than other strains. Tussah pupae is suitable for fruiting body formation of strain CM9, with fruiting body length, yield, and biological efficiency of 5.57 cm, 6.80 g per each, and 291.70%, respectively, which were significantly higher than other strains. The content of adenosine in fruiting bodies of strain CM9 cultivated on tussah pupae was 2.62 mg g-1, followed by that of strain CM3 on rice of 2.51 mg g-1. The content of cordycepin in fruiting bodies of strain CM4 cultivated on wheat was 5.68 mg g-1, followed by that of strain CM9 on wheat of 5.41 mg g-1. To improve the product quality and the contents of bioactive components, C. militaris strains and substrates should both be considered, that is, different strains should be appropriate for different substrates.

Use of partitioned GMM marginal regression model with time-dependent covariates: analysis of Chinese Longitudinal Healthy Longevity Study

Background

Elderly population’s health is a major concern for most industrial nations. National health surveys provide a measure of the state of elderly health. One such survey is the Chinese Longitudinal Healthy Longevity Survey. It collects data on risk factors and outcomes on the elderly. We examine these longitudinal survey data to determine the changes in health and to identify risk factors as they impact health outcomes including the elderly’s ability to do a physical check.

Methods

We use a Partitioned GMM logistic regression model to identify risk factors. The model also accounts for the correlation between lagged time-dependent covariates and the outcomes. It addresses present and past measures of time-dependent covariates on simultaneous outcomes. The relation produces additional regression coefficients as byproduct of the Partitioned model, identifying the immediate, delayed effects (lag − 1), further delayed (lag-2), etc. Therefore, the model presents the opportunity for decision makers to monitor the covariate over time. This technique is particularly useful in healthcare and health related research. We use the Chinese Longitudinal Health Longevity Survey data to identify those risk factors and to display the utility of the model.

Results

We found that one’s ability to make own decisions, frequently consuming vegetables, exercise frequently, one’s ability to transfer without assistance, having visual difficulties and being able to pick book from floor while standing had varying effects of significance on one’s health and ability to complete physical checks as they get older.

Conclusions

The partitioning of the covariates as immediate effect, delayed effect or further delayed effect are important measures in a declining population.

Breast DCE-MRI radiomics: a robust computer-aided system based on reproducible BI-RADS features across the influence of datasets bias and segmentation methods

PURPOSE

A highly accurate and robust computer-aided system based on quantitative high-throughput Breast Imaging Reporting and Data System (BI-RADS) features from dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) can drive the success of radiomic applications in breast cancer diagnosis. We aim to build a stable system with highly reproducible radiomics features, which can make diagnostic performance independent of datasets bias and segmentation methods.

METHOD

We applied a dataset of 267 patients including 136 malignant and 131 benign tumors from two MRI manufacturers, where 211 cases from a Philips system and 55 cases from a GE system. First, manual annotations, 3D-Unet and 2D-Unet were applied as different segmentation methods. Second, we designed and extracted 3172 features from six modalities of DCE-MRI based on BI-RADS. Third, the feature selection was conducted. Between-class distance was utilized to eliminate the effect of dataset bias caused by two machines. Concordance correlation coefficient, intraclass correlation coefficient and deviation were employed to evaluate the influence of three segmentation methods. We further eliminated features redundancy using genetic algorithm. Finally, three classifiers including support vector machine (SVM), the bagged trees and K-Nearest Neighbor were evaluated by their performance for diagnosing malignant and benign tumors.

RESULTS

A total of 246 features were preserved to have high stability and reproducibility. The final feature set showed the robust performance under these factors and achieved the area under curve of 0.88, the accuracy of 0.824, the sensitivity of 0.844, the specificity of 0.807 in differentiating benign and malignant tumors with the SVM classifier using manually segmentation results.

CONCLUSION

The final selected 246 features are reproducible and show little dependence on segmentation methods and data perturbation. The high stability and effectiveness of diagnosis across these factors illustrate that the preserved features can be used for prognostic analysis and help radiologists in the diagnosis of breast cancer.

A low-voltage pulse electrolysis method for the degradation of anthraquinone and azo dyes in chloride medium by anodic oxidation on Ti/IrO2 -RuO2 -SnO2 electrodes

Wastewater produced by the textile industry containing azo dyes and anthraquinone dyes is significant source of pollution to the environment and is toxic for aquatic life. To overcome the high-energy cost of traditional electrochemical oxidation, a custom-built power supply device for the degradation of anthraquinone and azo dyes by low voltage of 15.0-20.0 V pulsed discharge was investigated. Titanium coated with mixed oxide (Ti/IrO₂ -RuO₂ -SnO₂ ) plates and pure titanium plates were used as the anode and cathode, respectively, for the generation of chlorine in the dye solution. For the anthraquinone dye Reactive Blue 19, 60.0% of the chemical oxygen demand (COD) and 22.0% of the total organic carbon (TOC) were removed using this system. A comparison of the direct current electrolysis and pulsed discharge revealed that using the pulsed discharge method reduced the energy cost by 68.6%. UV-visible, LC-MS, and GC-MS were used to identify the intermediate compounds formed during the degradation of Reactive Blue 19. The results indicate that in the process of oxidation by chlorine/hypochlorite, the chromophore group was first oxidized to -NH₂ , followed by decolorization via chlorination of the aromatic rings. The results confirm that low-voltage pulse electrolysis can be used for the degradation of industrial dyes in waste effluents. PRACTITIONER POINTS: Low-voltage pulse electrolysis can be used for the degradation of industrial dyes and/or dyes in waste effluents. For anionic dye Reactive Blue 19, 60.0% of COD and 22.0% of TOC were removed using low-voltage (20.0 V) pulse electrolysis. The pulsed discharge method reduced the energy cost of this degradation process by 68.6% compared with direct current electrolysis. The intermediate compounds formed during the degradation of Reactive Blue 19 were confirmed by UV-visible spectroscopy, LC-MS, and GC-MS.

Systemic Analysis of the Prognosis-Related RNA Alternative Splicing Signals in Melanoma

BACKGROUND Alternative splicing (AS), the mechanism underlying the occurrence of protein diversity, may result in cancer genesis and development when it becomes out of control, as suggested by a growing number of studies. However, systemically analyze of AS events at the genome-wide level for skin cutaneous melanoma (SKCM) is still in a preliminary phase. This study aimed to systemically analyze the bioinformatics of the AS events at a genome-wide level using The Cancer Genome Atlas (TCGA) SKCM data. MATERIAL AND METHODS The SpliceSeq tool was used to analyze the AS profiles for SKCM clinical specimens from the TCGA database. The association between AS events and overall survival was analyzed by Cox regression analysis. AS event intersections and a gene interaction network were established by UpSet plot. A multivariate survival model was used to establish a feature genes prognosis model. RESULTS A total of 103 SKCM patients with full clinical parameters available were included in this study. We established an AS network that investigated the relationship between AS events and clinical prognosis information. Furthermore, 4 underlying feature genes of SKCM (MCF2L, HARS, TFR2, and RALGPS1) were found in the AS network. We performed function analysis as well as correlation analysis of AS events with gene expression. Using the multivariate survival model, we further confirmed the 4 genes that impacted the classifying SKCM prognosis at the level of AS events as well as gene expression, especially in wild-type SKCM. CONCLUSIONS AS events could be ideal indicators for SKCM prognosis. The key feature gene MCF2L played an important role in wild-type SKCM.

A Front-Side Microfabricated Thermoresistive Gas Flow Sensor for High-Performance, Low-Cost and High-Yield Volume Production

In this paper, we present a novel thermoresistive gas flow sensor with a high-yield and low-cost volume production by using front-side microfabricated technology. To best improve the thermal resistance, a micro-air-trench between the heater and the thermistors was opened to minimize the heat loss from the heater to the silicon substrate. Two types of gas flow sensors were designed with the optimal thermal-insulation configuration and fabricated by a single-wafer-based single-side process in (111) wafers, where the type A sensor has two thermistors while the type B sensor has four. Chip dimensions of both sensors are as small as 0.7 mm × 0.7 mm and the sensors achieve a short response time of 1.5 ms. Furthermore, without using any amplification, the normalized sensitivity of type A and type B sensors is 1.9 mV/(SLM)/mW and 3.9 mV/(SLM)/mW for nitrogen gas flow and the minimum detectable flow rate is estimated at about 0.53 and 0.26 standard cubic centimeter per minute (sccm), respectively.

A regulated synthetic operon facilitates stable overexpression of multigene terpenoid pathway in Bacillus subtilis

The creation of microbial cell factories for sustainable production of natural products is important for medical and industrial applications. This requires stable expression of biosynthetic pathways in a host organism with favorable fermentation properties such as Bacillus subtilis. The aim of this study is to construct B. subtilis strains that produce valuable terpenoid compounds by overexpressing the innate methylerythritol phosphate (MEP) pathway. A synthetic operon allowing the concerted and regulated expression of multiple genes was developed. Up to 8 genes have been combined in this operon and a stably inherited plasmid-based vector was constructed resulting in a high production of C30 carotenoids. For this, two vectors were examined, one with rolling circle replication and another with theta replication. Theta-replication constructs were clearly superior in structural and segregational stability compared to rolling circle constructs. A strain overexpressing all eight genes of the MEP pathway on a theta-replicating plasmid clearly produced the highest level of carotenoids. The level of transcription for each gene in the operon was similar as RT-qPCR analysis indicated. Hence, that corresponding strain can be used as a stable cell factory for production of terpenoids. This is the first report of merging and stably expressing this large-size operon (eight genes) from a plasmid-based system in B. subtilis enabling high C30 carotenoid production.

Flexible and Super-Sensitive Moisture-Responsive Actuators by Dispersing Graphene Oxide into Three-Dimensional Structures of Nanofibers and Silver Nanowires

Smart actuators with excellent flexibility, sensitive responsiveness, large-scale bending-deformation, and rapid deformation-recovery performance have been sought after by researchers. Two-dimensional graphene oxide (GO) is considered as an ideal candidate for humidity-responsive actuators because of its excellent moisture sensitivity. Herein, a flexible membrane-based actuator was prepared by evenly dispersing GO sheets into a three-dimensional network formed by one-dimensional PVA-co-PE nanofibers (NFs) and silver nanowires (AgNWs). The three-dimensional interlaced pore structure of the AgNWs/NFs/GO composite membrane ensured its larger contact area (19.33 m²/g), faster moisture exchange rate, and large bending deformation under moisture stimulation. In addition, a new explanation for the spatial distribution of adsorbed water molecules and their actuating effect on the bending behaviors of composite membranes is proposed. The adsorbed water lies between the interlayer and surface layer of the composite membrane. The interlayer water molecules make the film volume expand, resulting in a large bending angle of the membrane. On the other hand, the water on the surface layers of the membrane only leads to the change in film weight, having little effect on the bending behavior. Moreover, to make the soft actuator more practical and multifunctional, a conductive AgNWs-NFs/GO bilayer membrane-based actuator was prepared by layered spraying of a AgNW on the NFs/GO membrane, which can be directly used in switching control circuits. The novel flexible membrane-based actuators are of great significance for the soft robot and intelligent control systems in the future.

Tumour-Infiltrating Immune Cell-Based Subtyping and Signature Gene Analysis in Breast Cancer Based on Gene Expression Profiles

Tumour-infiltrating immune cells have been indicated to play an important role in prognosis prediction and therapy sensitivity for breast cancer. In recent years, estimating the abundance of immune cells based on tumour transcriptome data has provided a novel way to analyse the clinical significance of various immune cell subsets. This study integrated breast cancer tissue transcriptome datasets from the Gene Expression Omnibus (GEO), the Cancer Genome Atlas-Breast Cancer (TCGA-BRCA) and the Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) cohorts. A novel breast cancer immunotyping and a new prognostic model based on tumour-infiltrating immune cell subsets have been established, aiming to provide new clues regarding prognostic prediction and precision therapy for breast cancer. The key differentially expressed gene between different breast cancer immunotypes has also been identified. We performed unsupervised clustering analysis and construct a novel immunotyping which could classify breast cancer cases into immunotype A (B_cell^high NK^high CD8⁺_T^high CD4⁺_memory_T_activated^high γδT^low Mast_cell_activated^low Neutrophil^low) and immunotype B (B_cell^low NK^low CD8⁺_T^low CD4⁺_memory_T_activated^low γδT^high Mast_cell_activated^high Neutrophil^high) in luminal B, HER2-enriched and basal-like subtypes. The 5-year (85.7% vs. 73.4%) and 10-year OS (75.60% vs. 61.73%) of immunotype A population were significantly higher than those of immunotype B. A novel tumour-infiltrating immune cell-based prognostic model had also been established and the result immunorisk score (IRS) could serve as a new prognostic factor for luminal B, HER2-enriched and basal-like breast cancer. The higher IRS was, the worse prognosis was. We further screened the differentially expressed genes between immunotype A and B and identified a novel breast cancer immune-related gene, prostaglandin D2 synthase (PTGDS) and higher PTGDS mRNA expression level was positively correlated with earlier TNM stage. Immune-related signaling pathways analysis and immune cell subsets correlation analysis revealed that PTGDS expression was related with abundance of B cells, CD4⁺ T cells and CD8⁺ T cells, which was finally validated by immunohistochemical and immunofluorescence staining. We established a novel immunotyping and a tumour-infiltrating immune cell-based prognostic prediction model in luminal B, HER2-enriched and basal-like breast cancer by analyzing the prognostic significance of multiple immune cell subsets. A novel breast cancer immune signature gene PTDGS was discovered, which might serve as a protective prognostic factor and play an important role in breast cancer development and lymphocyte-related immune response.

Comparison of methane emissions among invasive and native mangrove species in Dongzhaigang, Hainan Island

The strength of methane (CH₄) source of mangroves is not well understood, especially when including all CH₄ pathways in consideration. This study measured CH₄ fluxes by five pathways (sediments, pneumatophores, water surface, leaves, and stems) from four typical mangrove forests, including Kandelia candel without pneumatophores and three species with pneumatophores: Sonneratia apetala, Laguncularia racemosa and Bruguiera gymnorhiza-Bruguiera sexangula. The CH₄ fluxes from sediments were 4.82±1.46mgCH₄m^-2h^-1 for K. candel and 1.36±0.17mgCH₄m^-2h^-1 for the other three with pneumatophores. Among the three communities with pneumatophores, S. apetala community had significantly greater emission rate than the other two (P<0.05). Pneumatophores in S. apetala were found to significantly decrease CH₄ emission from sediments (P<0.01), while those in B. gymnorhiza-B. sexangula were significantly increase it (P<0.05). CH₄ fluxes from waters were 3.48±1.11mgCH₄m^-2h^-1, with the highest emission rate in the K. candel community for the duck farming. Leaves of mangroves except for those of K. candel were a weak CH₄ daytime sink, but stems were a weak source. The total 72ha of mangroves in the Changning river basin emitted about 8.10Gg CH₄ per year, with a weighted emission rate of about 1.29mgCH₄m^-2h^-1. Our results suggested that mangroves are only a small methane source to atmosphere with great contribution from sediments and waters, only slight contribution from leaves and stems. Pneumatophores of different mangrove species played different roles in CH₄ fluxes from sediments.