Study of Iron Complex Photosensitizer with Hollow Double-Shell Nano Structure Used to Enhance Ferroptosis and Photodynamic Therapy.

Ferroptosis therapy, which uses ferroptosis inducers to produce lethal lipid peroxides and induce tumor cell death, is considered a promising cancer treatment strategy. However, challenges remain regarding how to increase the accumulation of reactive oxygen species (ROS) in the tumor microenvironment (TME) to enhance antitumor efficacy. In this study, a hyaluronic acid (HA) encapsulated hollow mesoporous manganese dioxide (H-MnO2) with double-shell nanostructure is designed to contain iron coordinated cyanine near-infrared dye IR783 (IR783-Fe) for synergistic ferroptosis photodynamic therapy against tumors. The nano photosensitizer IR783-Fe@MnO2-HA, in which HA actively targets the CD44 receptor, subsequently dissociates and releases Fe3+ and IR783 in acidic TME. First, Fe3+ consumes glutathione to produce Fe2+, which promotes the Fenton reaction in cells to produce hydroxyl free radicals (·OH) and induce ferroptosis of tumor cells. In addition, MnO2 catalyzes the production of O2 from H2O2 and enhances the production of singlet oxygen (1O2) by IR783 under laser irradiation, thus increasing the production and accumulation of ROS to provide photodynamic therapy. The highly biocompatible IR783-Fe@MnO2-HA nano-photosensitizers have exhibited tumor-targeting ability and efficient tumor inhibition in vivo due to the synergistic effect of photodynamic and ferroptosis antitumor therapies.

Application of hybrid multi-criteria decision-making approach to analyze wastewater microalgae culture systems for bioenergy production.

Bioenergy generation from microalgae can significantly contribute to climate mitigation and renewable energy production. In this regard, several multi-criteria decision-making method were employed to prioritize appropriate microalgae culture system for bioenergy production. Entropy weight, Criteria Importance Through Intercriteria Correlation (CRITIC) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) were the employed MCDA method. Fourteen microalgae culture systems were selected as a case study, which contain teen monoculture and four dual-culture. Initially, through ans in-depth review of the literature and expert views, four categories total eight indicators were selected as the evaluation indices of the study, namely 1) Proliferation: Half growth cycle and Max growth rate,2) Biomass output: Bio-crude yield and Lipid yield, 3) Nutrient utilization: residual concentration of total Nitrogen and total Phosphorus, and, 4) Stability: coefficient of variation of Bio-crude yield and Lipid yield. The result indicated that "Pediastrum sp. & Micractinium sp." was identified as the most bioenergy potential microalgae culture system, and the evaluation results of entropy weight method and CRITIC method are similar. It is pertinent to note that 1)the entropy weight method exhibits lower sample size requirements, 2) the critic method excels when dealing with larger sample sizes, and 3) the TOPSIS method necessitates the incorporation of appropriate weighting methods to ensure credible results. In the application stage, the key indicators related to cost can be further included in the evaluation indices.

Foliar nutrient resorption stoichiometry and microbial phosphatase catalytic efficiency together alleviate the relative phosphorus limitation in forest ecosystems.

Understanding how plants adapt to spatially heterogeneous phosphorus (P) supply is important to elucidate the effect of environmental changes on ecosystem productivity. Plant P supply is concurrently controlled by plant internal conservation and external acquisition. However, it is unclear how climate, soil, and microbes influence the contributions and interactions of the internal and external pathways for plant P supply. Here, we measured P and nitrogen (N) resorption efficiency, litter and soil acid phosphatase (AP) catalytic parameters (Vmax(s) and Km ), and soil physicochemical properties at four sites spanning from cold temperate to tropical forests. We found that the relative P limitation to plants was generally higher in tropical forests than temperate forests, but varied greatly among species and within sites. In P-impoverished habitats, plants resorbed more P than N during litterfall to maintain their N : P stoichiometric balance. In addition, once ecosystems shifted from N-limited to P-limited, litter- and soil-specific AP catalytic efficiency (Vmax(s) /Km ) increased rapidly, thereby enhancing organic P mineralization. Our findings suggested that ecosystems develop a coupled aboveground-belowground strategy to maintain P supply and N : P stoichiometric balance under P-limitation. We also highlighted that N cycle moderates P cycles and together shape plant P acquisition in forest ecosystems.

Deepened snow cover increases grassland soil carbon stocks by incorporating carbon inputs into deep soil layers.

Climate-induced changes in snow cover can greatly impact winter soil microclimate and spring water supply. These effects, in turn, can influence plant and microbial activity and the strength of leaching processes, potentially altering the distribution and storage of soil organic carbon (SOC) across different soil depths. However, few studies have examined how changes in snow cover will affect SOC stocks, and even less is known about the impact of snow cover on SOC dynamics along soil profiles. By selecting 11 snow fences along a 570 km climate gradient in Inner Mongolia, covering arid, temperate, and meadow steppes, we measured plant and microbial biomass, community composition, SOC content, and other soil parameters from topsoil to a depth of 60 cm. We found that deepened snow increased aboveground and belowground plant biomass, as well as microbial biomass. Plant and microbial carbon input were positively correlated with grassland SOC stocks. More importantly, we found that deepened snow altered SOC distribution along vertical soil profiles. The increase in SOC caused by deepened snow was much greater in the subsoil (+74.7%; 40-60 cm) than that in the topsoil (+19.0%; 0-5 cm). Additionally, the controls on SOC content under deepened snow differed between the topsoil and subsoil layers. The increase in microbial and root biomass jointly enhanced topsoil C accumulation, while the increase in leaching processes became critical in promoting subsoil C accumulation. We conclude that under deepened snow, the subsoil had a high capacity to sink C by incorporating C leached from the topsoil, suggesting that the subsoil, originally thought to be climate insensitive, could have a higher response to precipitation changes due to vertical C transport. Our study highlights the importance of considering soil depth when assessing the impacts of snow cover changes on SOC dynamics.

Causal association of serum biomarkers with oral cavity and oropharyngeal cancer: a mendelian randomization study.

BACKGROUND: Observational epidemiological studies revealed that multiple serum biomarkers can be associated with the risk of oral and oropharyngeal cancer (OC/OPC). However, the causal relationship between them remains largely unknown. This study aimed to investigate the causal relationship between potential serum biomarkers and (OC/OPC). METHODS: A two-sample Mendelian randomization (MR) approach was performed to assess the causal association of 10 serum biomarkers with the risk of OC / OPC. Summary data on OC/OPC were obtained from a GWAS meta-analysis that included 2497 cases and 2928 controls. The TwoSampleMR package in R was used to perform MR analyzes. Inverse-variance weighted (IVW), Weighted median and MR-Egger methods were used to assess causal effects. RESULTS: Suggestive associations with increased risk of C-reactive protein (CRP) (OR 1.52, 95% CI 1.14 to 2.02), using the IVW method. MR-Egger regression suggested that directional pleiotropy was unlikely to bias the result (P = 0.19). The findings were robust to sensitivity analyzes. The risk of OC/OPC was not associated with serum 25-hydroxyvitamin D, HDL cholesterol, LDL cholesterol, total cholesterol, triglycerides, adiponectin, leptin, HbA1C and Insulin-like growth factor 1 (IGF 1). CONCLUSIONS: This study supports that CRP was causally associated with an increased risk of oral and oropharyngeal cancer.

Deepened snow loosens temporal coupling between plant and microbial N utilization and induces ecosystem N losses.

Seasonal differences in plant and microbial nitrogen (N) acquisition are believed to be a major mechanism that maximizes ecosystem N retention. There is also a concern that climate change may interrupt the delicate balance in N allocation between plants and microbes. Yet, convincing experimental evidence is still lacking. Using a 15 N tracer, we assessed how deepened snow affects the temporal coupling between plant and microbial N utilization in a temperate Mongolian grassland. We found that microbial 15 N recovery peaked in winter, accounting for 22% of the total ecosystem 15 N recovery, and then rapidly declined during the spring thaw. By stimulating N loss via N2 O emission and leaching, deepened snow reduced the total ecosystem 15 N recovery by 42% during the spring thaw. As the growing season progresses, the 15 N released from microbial biomass was taken up by plants, and the competitive advantage for N shifted from microbes to plants. Plant 15 N recovery reached its peak in August, accounting for 17% of the total ecosystem 15 N recovery. The Granger causality test showed that the temporal dynamics of plant 15 N recovery can be predicted by microbial 15 N recovery under ambient snow but not under deepened snow. In addition, plant 15 N recovery in August was positively correlated with and best explained by microbial 15 N recovery in March. The lower microbial 15 N recovery under deepened snow in March reduced plant 15 N recovery by 73% in August. Together, our results provide direct evidence of seasonal differences in plant and microbial N utilization that are conducive to ecosystem N retention; however, deepened snow disrupted the temporal coupling between plant-microbial N use and turnover. These findings suggest that changes in snowfall patterns may significantly alter ecosystem N cycling and N-based greenhouse gas emissions under future climate change. We highlight the importance of better representing winter processes and their response to winter climate change in biogeochemical models when assessing N cycling under global change.

Childhood asthma and type 1 diabetes mellitus: A meta-analysis and bidirectional Mendelian randomization study.

BACKGROUND: Worldwide incidence and prevalence of both asthma and type 1 diabetes mellitus (T1DM) in children have been increasing in past decades. Association between the two diseases has been found in some but not in other studies. OBJECTIVE: We conducted a meta-analysis to verify such an association, and bidirectional Mendelian randomization analysis to examine the potential cause-effect relationships. METHODS: Three databases (PubMed, Embase, and Web of Science) were searched from their inception to February 1, 2021. Pooled hazard ratios (HR) or odds ratios (OR), and 95% confidence intervals, were calculated. Associations between single-nucleotide polymorphisms with childhood asthma and T1DM were selected based on genome-wide association studies. The outcome datasets were obtained from FinnGen study. We used the inverse-variance-weighted (IVW), weighted median and MR-Egger methods to estimate causal effects. To assess robustness and horizontal pleiotropy, MR-Egger regression and MR pleiotropy residual sum and outlier test were conducted. RESULTS: In meta-analysis, childhood asthma was associated with an increased risk of T1DM (HR = 1.30, 95% CI 1.05-1.61, P = .014), whereas T1DM was not associated with the risk of asthma (HR = 0.98, 95% CI 0.64-1.51, P = .941; OR = 0.84, 95% CI 0.65-1.08, P = .168). MR analysis indicated increased genetic risk of T1DM in children with asthma (OR = 1.308; 95% CI 1.030-1.661; P = .028). Analysis using the IVW method indicated no association between T1DM and genetic risk of asthma (OR = 1.027, 95%CI 0.970-1.089, P = .358). CONCLUSION: Both meta-analysis and MR study suggested that childhood asthma was a risk factor for T1DM. No epidemiological or genetic evidence was found for an association of T1DM with asthma incidence. Further studies could be carried out to leverage this newfound insight into better clinical and experimental research in asthma and T1DM.

The changes in plant and soil C pools and their C:N stoichiometry control grassland N retention under elevated N inputs.

Nitrogen (N) retention is a critical ecosystem function for maintaining soil fertility and mitigating pollution caused by anthropogenic N input. However, it has not yet been elucidated how responses of plant and soil regulate ecosystem N retention. Here, we combined a 14-year N addition experiment in a temperate steppe with a global meta-analysis in grasslands, to assess changes in carbon (C) pool size and stoichiometric C:N ratio of plant and soil components and evaluate the contribution of each component to grassland N retention under increasing N levels. We found that N addition increased N storage in the plant pool by stimulating biomass production and reducing tissue C:N at the community level. However, the non-random loss of forbs and legumes associated with a low C:N ratio partially offset the decline in community-level C:N ratio, thereby diminishing the positive net effect of N enrichment on plant N storage. The observed increase in soil N storage was predominantly determined by the decrease in C:N ratio of topsoil, while no changes were detected in the subsoil. On 14-year time scale, the upper limitation of N retention capacity in our study site was 167.02 g N/m2 . Global meta-analysis further indicated that a decade's N addition significantly increased the N storage in shoot, root and topsoil through enhancing the C pool and decreasing the C:N ratio, while did not affect those of subsoil. However, the positive correlation between the response of subsoil N storage and treatment duration further indicates that, though the accumulation of added N lagged behind that of topsoil, subsoil could play an important role in N retention on a longer time scale. Our study demonstrated that the enhanced plant productivity and altered physiological metabolism indicated by the decreased C:N ratio jointly determined grassland ecosystem N retention. The capacity of the grassland ecosystem to retain exogenous N input is limited, especially for a large amount of N input that occurs in a short period. However, in the context of chronically rising N deposition, the long-term N retention capacity of grasslands should largely depend on the response of subsoil, especially after topsoil N is saturated.

Prognostic significance of tumor-infiltrating lymphocytes and macrophages in nasopharyngeal carcinoma: a systematic review and meta-analysis.

PURPOSE: Many studies have investigated the prognostic value of tumor-infiltrating lymphocytes (TILs) and tumor-infiltrating macrophages (TIMs) in patients with nasopharyngeal carcinoma (NPC), but the results remain controversial. Here, we performed a meta-analysis to evaluate the prognostic significance of TILs/TIMs in patients with NPC METHODS: The study was registered with PROSPERO (CRD42021234078). PubMed, Embase, and Web of Science databases were searched up to Dec 30, 2020. We reviewed studies that evaluated the relationship between TILs/TIMs and overall survival (OS), disease-free survival (DFS), or progression-free survival (PFS) in NPC. For TILs, CD3, CD4, CD8, and FOXP3 were searched as T-cell markers, CD19 and CD20 as B-cell markers, and CD56 as a natural killer cell marker. For TIMs, CD68 and CD163 were searched as total and M2 macrophage markers, respectively. RESULTS: In total, 19 studies with 3708 NPC were included in this meta-analysis. We found that high total numbers of TILs were significantly associated with favorable OS [hazard ratio (HR) 0.46, 95% confidence interval (CI) 0.38-0.57 and PFS (HR 0.48, 95% CI 0.38-0.62)]. In contrast, tumor infiltration by CD3+ T cells (HR 0.55, 95% CI 0.39-0.76), CD4+ T cells (HR 0.40, 95% CI 0.18-0.85), and CD8+ T cells (HR 0.56, 95% CI 0.34-0.93) correlated positively with OS. No significant relationship was found between survival and tumor infiltration by FOXP3+ T cells, CD68+ macrophages, or CD163+ macrophages. CONCLUSION: Our findings revealed that tumor infiltration by CD3+ , CD4+ , and CD8+ T cells could be prognostic biomarkers in NPC.

An Integrated Tumor Microenvironment Responsive Polymeric Micelle for Smart Drug Delivery and Effective Drug Release.

Tumor microenvironment (TME) responsive polymeric micelles are promising carriers for drug delivery. In order to meet the needs of various applications, multifarious TME-responsive switches are used to construct smart polymeric micelles, which causes the complexity and corpulence of the polymeric micelle system and increases the difficulty of preparation. In this study, we designed and synthesized an ingenious TME-responsive switch through grafting disulfide bond-modified piperidinepropionic acid (CPA) on copolymer poly(ethylene glycol)-b-poly(aspartate)(PEG-b-PAsp) and built a novel pH/reduction-responsive PEG-b-PAsp-g-CPA polymeric micelle delivery system. The CPA-pendants can reverse the surface charge of the polymeric micelle from negative to positive at pH 6.5 because of the protonation of piperidine groups, thereby enhancing the internalization of cell. Subsequently, more piperidine groups are protonated at pH 5.0 which will increase the hydrophilicity of polymeric micelles and cause the hydrophobic core to swell, thus making the disulfide bonds packed in the core to be more easily broken by GSH. With the synergistic effect of the pH-triggered protonation of piperidine groups and reduction triggered break of disulfide bonds, the polymeric micelles will disintegrate and achieve efficient intracellular drug release. The TME-responsive polymeric micelles exhibited good biological safety, enhanced internalization, and rapid intracellular doxorubicin (DOX) release in vitro. Moreover, the PEG-b-PAsp-g-CPA/DOX polymeric micelles showed excellent antitumor efficacy and low systemic toxicity in lung tumor-bearing BALB/C mice. These results indicated that the novel integrated TME-responsive switch CPA helps the PEG-b-PAsp-g-CPA polymeric micelles to obtain excellent TME-responsiveness and antitumor drug delivery capabilities, while it also makes the preparation of TME-responsive polymeric micelles simpler and more convenient. This work provides a new idea for the architecture of TME-responsive polymeric micelles.

Long-term nitrogen input alters plant and soil bacterial, but not fungal beta diversity in a semiarid grassland.

Anthropogenic nitrogen (N) input is known to alter plant and microbial α-diversity, but how N enrichment influences ß-diversity of plant and microbial communities remains poorly understood. Using a long-term multilevel N addition experiment in a temperate steppe, we show that plant, soil bacterial and fungal communities exhibited different responses in their ß-diversity to N input. Plant ß-diversity decreased linearly as N addition increased, as a result of increased directional environmental filtering, where soil environmental properties largely explained variation in plant ß-diversity. Soil bacterial ß-diversity first increased then decreased with increasing N input, which was best explained by corresponding changes in soil environmental heterogeneity. Soil fungal ß-diversity, however, remained largely unchanged across the N gradient, with plant ß-diversity, soil environmental properties, and heterogeneity together explaining an insignificant fraction of variation in fungal ß-diversity, reflecting the importance of stochastic community assembly. Our study demonstrates the divergent effect of N enrichment on the assembly of plant, soil bacterial and fungal communities, emphasizing the need to examine closely associated fundamental components (i.e., plants and microorganisms) of ecosystems to gain a more complete understanding of ecological consequences of anthropogenic N enrichment.

Serum EA-IgA and D-dimer, but not VCA-IgA, are associated with prognosis in patients with nasopharyngeal carcinoma: a meta-analysis.

BACKGROUND: Patients with nasopharyngeal cancer (NPC) differ in prognosis, even at the same stage; therefore, new biomarkers are urgently required to identify early-stage NPC patients at high risk of poor prognosis. Although Epstein-Barr virus (EBV) DNA has been used for prognosis, the value of many other biomarkers expressed during the infection cycle of EBV remains unclarified. This study aimed to evaluate the prognostic potential of EA-IgA, VCA-IgA and D-dimer in patients with NPC. METHODS: Electronic databases, including PubMed, Embase and Web of Science, were searched up to February 1, 2021. Pooled data were extracted from studies that evaluated the relationship between NPC and overall survival (OS), distant metastasis-free survival (DMFS) or disease-free survival (DFS) and then were subjected to a meta-analysis. RESULTS: Nine studies with 5729 patients were included in this meta-analysis. In patients with NPC, EA-IgA levels significantly predicted OS (HR = 1.63, 95% CI 1.07-2.48). D-Dimer levels significantly predicted OS (HR = 1.75, 95% CI 1.24-2.47) and DMFS (HR = 1.91, 95% CI 1.31-2.79). However, high levels of VCA-IgA were not associated with OS (HR = 1.24, 95% CI 0.95-1.60), DMFS (HR = 1.41, 95% CI 0.92-2.17) or DFS (HR = 2.39, 95% CI 0.78-7.26). CONCLUSIONS: The present findings reveal that EA-IgA and D-dimer, but not VCA-IgA, can be used as prognostic biomarkers in NPC.

The diagnostic value of EBV-DNA and EBV-related antibodies detection for nasopharyngeal carcinoma: a meta-analysis.

BACKGROUND: Numerous individual studies have investigated the diagnostic value of EBV-DNA, EA-IgA, VCA-IgA, EBNA1-IgA and Rta-IgG detection for nasopharyngeal carcinoma (NPC), but the conclusions remain controversial. This meta-analysis aimed to determine the value of EBV-DNA, EA-IgA, VCA-IgA, EBNA1-IgA and Rta-IgG detection in the diagnosis of NPC. METHODS: PROSPERO registration number: CRD42019145532. PubMed, EMBASE, Cochrane Library, and Chinese data libraries (Wanfang, CNKI, and CBM) were searched up to January 2019. The pooled sensitivity, specificity, and positive likelihood, negative likelihood, and diagnostic odds ratios were conducted in this meta-analysis. Summary receiver operating characteristic curves evaluated the test-performance global summary. Publication bias was examined by Deek's funnel plot asymmetry test. RESULTS: Forty-seven studies with 8382 NPC patients (NPC group) and 15,089 individuals without NPC (Control group) were included in this meta-analysis. The sensitivity, specificity, positive likelihood (+ LR), negative likelihood (-LR), DOR and AUC of EBV-DNA in diagnosis of NPC were: 0.76 (95% CI 0.73-0.77), 0.96 (95% CI 0.95-0.97), 14.66 (95% CI 9.97-21.55), 0.19 (95% CI 0.13-0.28), 84 (95% CI 50.45-139.88), 0.96 (SE: 0.001), and 0.55 (95% CI 0.54-0.57), 0.96 (95% CI 0.96-0.97), 12.91 (95% CI 9.55-17.45), 0.35 (95% CI 0.29-0.43), 39.57 (95% CI 26.44-59.23), 0.94 (SE: 0.002) for the EA-IgA, and 0.85 (95% CI 0.84-0.85), 0.89 (95% CI 0.88-0.89), 6.73 (95% CI5.38-8.43), 0.17 (95% CI 0.12-0.23), 43.03 (95% CI 31.51-58.76), 0.93 (SE: 0.007) for the VCA-IgA, and 0.86 (95% CI 0.85-0.88), 0.87 (95% CI 0.88-0.90), 7.55 (95% CI 5.79-9.87), 0.16 (95% CI 0.13-0.19), 50.95 (95% CI 34.35-75.57), 0.94 (SE: 0.008) for the EBNA1-IgA, and 0.70 (95% CI 0.69-0.71), 0.94 (95% CI 0.94-0.95), 9.84 (95% CI 8.40-11.54), 0.25 (95% CI 0.21-0.31), 40.59 (95% CI 32.09-51.35), 0.95 (SE: 0.005) for the Rta-IgG. The EBV-DNA had larger AUC compared with other EBV-based antibodies (P < 0.05), while the difference between EA-IgA, VCA-IgA, EBNA1-IgA and Rta-IgG was not statistically significant (P > 0.05). CONCLUSIONS: EBV-DNA, VCA-IgA, EBNA1-IgA and Rta-IgG detection have high accuracy in early diagnosis NPC. In addition, EBV-DNA detection has the higher diagnosis accuracy in NPC. On the other hand, EA-IgA is suitable for the diagnosis but not NPC screening.

Co-administration of combretastatin A4 nanoparticles and anti-PD-L1 for synergistic therapy of hepatocellular carcinoma.

BACKGROUND: According to data estimated by the WHO, primary liver cancer is currently the fourth most common malignant tumor and the second leading cause of death around the world. Hepatocellular carcinoma (HCC) is one of the most common primary liver malignancies, so effective therapy is highly desired for HCC. RESULTS: In this study, the use of poly(L-Aspartic acid)-poly(ethylene glycol)/combretastatin A4 (CA4-NPs) was aimed to significantly disrupt new blood vessels in tumor tissues for targeted hepatic tumor therapy. Here, PEG-b-PAsp-g-CA4 showed significantly prolonged retention in plasma and tumor tissue. Most importantly, CA4-NPs were mainly distributed at the tumor site because of the triple target effects-enhanced permeability and retention (EPR) effect, acid-sensitive (pH = 5.5) effect to the tumor microenvironment (TME), and good selectivity of CA4 for central tumor blood vessel. Considering that CA4-NPs might induce severe hypoxic conditions resulting in high expression of HIF-1α in tumor tissues, which could induce the overexpression of PD-L1, herein we also used a programmed death-ligand 1 antibody (aPD-L1) to prevent immunosuppression. This way of complementary combination is able to achieve an ideal treatment effect in tumor site where CA4-NPs and aPD-L1 could respond to the inner area and peripheral area, respectively. As a result, a significant decrease in tumor volume and weight was observed in the combination group of CA4-NPs plus aPD-L1 compared with CA4-NPs or aPD-L1 monotherapy in subcutaneous Hepa1-6 hepatic tumor models. CONCLUSIONS: We presented a new idea that co-administration of CA4-NPs and aPD-L1 possessed notable anti-tumor efficacy for HCC treatment.

An epidemiological survey of gastroesophageal reflux disease at the digestive endoscopy center in Guangzhou.

OBJECTIVE: This study aims to investigate the detection rates, common symptoms and risk factors of gastroesophageal reflux disease (GERD), and laryngopharyngeal reflux disease (LPRD) at the digestive endoscopy center. METHODS: A multicenter cross-sectional survey conducted at three hospitals and a total of 565 eligible participants were enrolled. All the patients completed routine ENT examination, gastroscopy, gastroesophageal reflux questionnaire (GerdQ), reflux symptom index (RSI) and a self-designed 25-item symptoms table survey. RESULTS: Among the 565 eligible participants, the detection rates of GERD and LPRD were 18.41% (104/565) and 9.91% (56/565), respectively. The detection rate of GERD combined with LPRD was 3.19% (18/565). Among GERD and LPRD patients, males (vs. females), middle-aged and elderly patients (vs. young people), BMI ≥ 24.0 kg/m2 (vs. BMI < 24.0 kg/m2), with current smoking history (vs. no smoking), and current drinking history (vs. no drinking), lying down immediately after meal (vs. no lying down immediately after meal) were significantly higher (all p < 0.05). The most common extraesophageal symptoms in patients with GERD were dry mouth (66.35%), globus sensation (56.73%), dry throat and pharyngeal itching (55.77%). The most common extraesophageal symptoms in patients with LPRD were globus sensation (91.07%), dry throat and pharyngeal itching (83.93%), and dry mouth (82.14%). CONCLUSION: GERD and LPRD had a high detection rate at the digestive endoscopy center in Guangzhou, China. Older age, BMI ≥ 24.0 kg/m2, smoking and drinking history were risk factors for both GERD and LPRD. Neither GerdQ nor RSI scores included common extraesophageal symptoms.

Deepened winter snow cover enhances net ecosystem exchange and stabilizes plant community composition and productivity in a temperate grassland.

Global warming has greatly altered winter snowfall patterns, and there is a trend towards increasing winter snow in semi-arid regions in China. Winter snowfall is an important source of water during early spring in these water-limited ecosystems, and it can also affect nutrient supply. However, we know little about how changes in winter snowfall will affect ecosystem productivity and plant community structure during the growing season. Here, we conducted a 5-year winter snow manipulation experiment in a temperate grassland in Inner Mongolia. We measured ecosystem carbon flux from 2014 to 2018 and plant biomass and species composition from 2015 to 2018. We found that soil moisture increased under deepened winter snow in early growing season, particularly in deeper soil layers. Deepened snow increased the net ecosystem exchange of CO2 (NEE) and reduced intra- and inter-annual variation in NEE. Deepened snow did not affect aboveground plant biomass (AGB) but significantly increased root biomass. This suggested that the enhanced NEE was allocated to the belowground, which improved water acquisition and thus contributed to greater stability in NEE in deep-snow plots. Interestingly, the AGB of grasses in the control plots declined over time, resulting in a shift towards a forb-dominated system. Similar declines in grass AGB were also observed at three other locations in the region over the same time frame and are attributed to 4 years of below-average precipitation during the growing season. By contrast, grass AGB was stabilized under deepened winter snow and plant community composition remained unchanged. Hence, our study demonstrates that increased winter snowfall may stabilize arid grassland systems by reducing resource competition, promoting coexistence between plant functional groups, which ultimately mitigates the impacts of chronic drought during the growing season.

Hydrodynamic analysis of rigid and flexible pectoral fins.

Numerical study on unsteady hydrodynamic characteristics of rigid and flexible pectoral fins in viscous flow-field was performed in the present study. The effect of key kinematical parameters on the propulsion performance was analyzed. The propulsion mechanism was explored by evolution of wake vortices. Computational results revealed that optimal combination for investigated parameters was U = 4C, Φ(FLA) = 45°, ΔΦ(FL) = 60° and α(0) = 0.2. Wake vortices were shed from two edges of fin and fin tip and convect downstream as well as laterally. For flexible pectoral fin, the shedding time was delayed and shed wake vortices keep longer time near the fin that led to difference in variation amplitude of hydrodynamics as compared to rigid fin. The hydrodynamic performance of flexible fin was superior to that of rigid fin for low incoming velocity. However, the opposite situation occured for high incoming velocity.

Soil respiration under climate warming: differential response of heterotrophic and autotrophic respiration.

Despite decades of research, how climate warming alters the global flux of soil respiration is still poorly characterized. Here, we use meta-analysis to synthesize 202 soil respiration datasets from 50 ecosystem warming experiments across multiple terrestrial ecosystems. We found that, on average, warming by 2 °C increased soil respiration by 12% during the early warming years, but warming-induced drought partially offset this effect. More significantly, the two components of soil respiration, heterotrophic respiration and autotrophic respiration showed distinct responses. The warming effect on autotrophic respiration was not statistically detectable during the early warming years, but nonetheless decreased with treatment duration. In contrast, warming by 2 °C increased heterotrophic respiration by an average of 21%, and this stimulation remained stable over the warming duration. This result challenged the assumption that microbial activity would acclimate to the rising temperature. Together, our findings demonstrate that distinguishing heterotrophic respiration and autotrophic respiration would allow us better understand and predict the long-term response of soil respiration to warming. The dependence of soil respiration on soil moisture condition also underscores the importance of incorporating warming-induced soil hydrological changes when modeling soil respiration under climate change.