Objective To investigate the factors affecting the distribution of Pomacea and project the trends in the spread of suitable distribution areas of Pomacea in 2050 and 2070 in Dali Bai Autonomous Prefecture, so as to provide insights into Pomacea control in the prefecture. Methods The longitudes and latitudes of Pomacea sampling sites were captured based on Pomacea field survey data in 12 cities (counties) of Dali Bai Autonomous Prefecture from 2023 to 2024. A total of 19 climatic factors (annual mean temperature, mean diurnal range, isothermality, temperature seasonality, maximum temperature of the warmest month, minimum temperature of the coldest month, temperature annual range, mean temperature of the wettest quarter, mean temperature of the driest quarter, mean temperature of the warmest month, mean temperature of the coldest month, annual precipitation, precipitation of the wettest month, precipitation of the driest month, precipitation seasonality, precipitation of the wettest quarter, precipitation of the driest quarter, mean temperature of the warmest quarter, and mean temperature of the coldest quarter) and representative concentration pathways (RCPs) were retrieved from the world climate database (www.worldclim.org). All climatic variables were employed to create a maximum entropy (MaxEnt) model. The predictive accuracy of the model was assessed with the area under the receiver operating characteristic (ROC) curve (AUC), and the contributions of these 19 climatic factors to the distribution of Pomacea were analyzed in Dali Bai Autonomous Prefecture using Jackknife test. In addition, the suitable distribution areas of Pomacea were predicted with the MaxEnt model in Dali Bai Autonomous Prefecture in 2024 and in 2050 and 2070 under RCP4.5. Results Data pertaining to 91 Pomacea sampling sites were captured. ROC analysis revealed the MaxEnt model had an AUC value of 0.885 ± 0.088 for predicting the suitable distribution areas of Pomacea in Dali Bai Autonomous Prefecture. Of the 19 climatic factors, the maximum temperature of the warmest month had the highest contribution to the distribution of Pomacea in Dali Bai Autonomous Prefecture, followed by mean temperature of the driest quarter, mean temperature of the wettest quarter and minimum temperature of the coldest month. The suitable distribution area of Pomacea was predicted to be 14 555.69 km² in Dali Bai Autonomous Prefecture in 2024, and would expand gradually to the southeastern part of the prefecture in the future due to climatic factors. The suitable distribution areas of Pomacea were projected to expand to 21 475.61 km² in 2050 and 25 782.52 km² in 2070 in Dali Bai Autonomous Prefecture, respectively. Conclusions Temperature is an important contributor to the distribution of Pomacea in Dali Bai Autonomous Prefecture, and the suitable distribution area of Pomacea will gradually expand to the southeastern part of the prefecture in 2050 and 2070.

Objective To observe the value of SimGrid(SG)and S-Enhance(SE)for improving image quality of low-dose X-ray films in children.Methods Data of 344 children in intensive care unit who underwent 410 times bedside X-ray examinations,including 290 times of chest X-ray,51 of abdominal X-ray and 69 of chest and abdominal combined X-ray were enrolled.SG and SE were respectively used for post-processing,and the quality of post-processed images were analyzed.Results Among 410 SG post-processing images,250 images were classified as 2-point,147 as 1-point and 13 as 0-point.SG could significantly improve image quality of children≥1 year and body mass≥10 kg(all P＜0.05),with better ability for displaying bones,trachea,peripheral blood vessels,foreign objects,psoas major muscle and intestinal gas(all P＜0.05).Among 410 SE post-processing images,250 images were classified as 2-point,58 as 1-point and 102 of 0-point.SE could significantly improve image quality of children≥0.5 years and with body mass＞4 kg(all P＜0.05),with better ability for displaying bones,trachea,large blood vessels,peripheral vessels,heart posterior blood vessels and foreign objects(all P＜0.05).Conclusion SG could significantly improve displaying of bones,trachea,peripheral blood vessels,foreign objects,psoas major muscle and intestinal gas in children≥1 year and body mass≥10 kg,while SE could improve displaying of bones,trachea,large blood vessels,peripheral blood vessels,heart posterior blood vessels and foreign objects in children aged≥0.5 years and body mass＞4 kg on low-dose X-ray films.

Angiostrongylus cantonensis is a food-borne zoonotic parasite, and human infection may cause eosinophilic meningitis. Non-coding RNAs (ncRNAs) may regulate physiological and pathological processes at multiple biological levels; however, there are few studies pertaining to the regulatory role of ncRNAs in A. cantonensis infection. Based on publications retrieved from PubMed, Wanfang Data and CNKI, the regulatory role of ncRNAs in A. cantonensis infections mainly includes immune responses, cell apoptosis and signaling transduction, and ncRNAs may serve as biomarkers for diagnosis of angiostrongyliasis. This review summarizes the main roles of ncRNAs in A. cantonensis infections and the underlying mechanisms, so as to provide insights into diagnosis and treatment of angiostrongyliasis.

ObjectiveTo evaluate the efficacy and safety of agomelatin and selective serotonin reuptake inhibitors （SSRIs） in the treatment of depressive disorder via network Meta-analysis. MethodsThe literature databases such as China National Knowledge Network （CNKI）， Wanfang Data Knowledge Service Platform， VIP Database for Chinese Technical Periodical （VIP）， Chinese Biomedical Literature Database （CBM）， PubMed， Embase and Cochrane Library were searched from the inception to November 2021. Based on the preset inclusion and exclusion criteria， literature screening， quality assessment of methodology and data extraction were conducted by two researchers separately， then statistical analysis was carried out using ADDIS software. ResultsA total of 7 256 patients with depressive disorder in 22 randomized controlled trials were included. According to the consistency assessed in Bayesian network Meta-analysis and the estimation of the probability of being the best treatment， escitalopram （P=0.63） ranked first for response rate and paroxetine （P=0.31） was associated with the best ranking for cure rate in terms of the effectiveness， meantime， paroxetine （P=0.44） had the highest adverse events risk and sertraline （P=0.74） had the highest study drop-outs proportion in terms of safety. ConclusionEscitalopram and paroxetine may be superior to sertraline， agomelatine， citalopram and fluoxetine in the treatment of depressive disorder， furthermore， paroxetine and sertraline demonstrate poor safety profiles.

Objective:To screen the serum exosomal microRNAs differentially expressed in early pancreatic cancer patients and evaluate the diagnostic value of exosomal hsa-let-7f-5p.Methods:From January 2019 to January 2020, 19 patients with early pancreatic cancer (early pancreatic cancer group) and 16 patients with chronic mass-forming pancreatitis (pancreatitis group) were selected from Affiliated Hospital of Nanjing University of Chinese Medicine who underwent surgery and were confirmed by pathology. Serum samples of the two groups of patients were collected. At the same time, serum samples of 19 healthy volunteers were selected as the normal control group. The exoEasy Maxi Kit was used to isolate serum exosomes. The structural characteristics of exosomes were observed by transmission electron microscopy (TEM). The particle size of exosomes was observd by nanoparticle tracking analysis. CD 63 and CD 81, the specific protein marker on the surface of exosomes, were identified by western blotting. The total RNA of exosomes was extracted by the miRNeasy Serum/Plasma Kit, and a small RNA library was constructed after quality inspection. With reference to the small RNA database, the differentially expressed exosomal microRNAs in early pancreatic cancer group, pancreatitis group and normal control group were filtered out. The miRNA candidates were validated by quantitative polymerase chain reaction (qPCR) and different expressions of them were analyzed. The role of target genes and metabolic pathways of candidate miRNAs in the occurrence and development of early pancreatic cancer were analyzed by gene ontology (GO) and Kyoto Encyclopeda of Genes and Genomes(KEGG) enrichment pathway. Results:The isolated serum exosomes can be seen to have cup-like vesicle with the double lipid layer by TEM. The main peak of the particle size of target exosomes was about 150 nm. The expression of exosome specific protein markers CD 63 and CD 81 was positive. Comparing the expression of miRNAs among early pancreatic cancer group, pancreatitis group and normal control group, the specific tumor marker exosomal hsa-let-7f-5p was screened out in this study, and its expression in early pancreatic cancer group was significantly higher than that in pancreatitis group and normal control group (both P values <0.05). Receiver operating characteristic curve analysis (ROC) showed that the area under curve (AUC) of exosomal hsa-let-7f-5p to distinguish pancreatic cancer from pancreatitis was 0.843 (95% CI 0.640-1.000). The sensitivity and specificity were 100% and 81.82% respectively. The AUC for distinguishing pancreatic cancer from normal controls was 1.000 (95% CI 1.000-1.000), and both sensitivity and specificity were 100%. The diagnostic efficiency of exosomal hsa-let-7f-5p was equivalent to that of CA19-9 ( P>0.05). The GO analysis results showed that target genes of exosomal hsa-let-7f-5p were mainly involved in complement activation lectin pathway in biological processes, and the proteins expressed by target genes were mainly distributed in cilium, and molecules mostly functioned by combining with nitric-oxide synthase. The KEGG pathway enrichment analysis showed that the target genes were closely related to MAPK signaling pathway. Conclusions:Serum exosomal hsa-let-7f-5p has the potential to be a diagnostic biomarker for early pancreatic cancer.

Acidosis, regardless of hypoxia involvement, is recognized as a chronic and harsh tumor microenvironment (TME) that educates malignant cells to thrive and metastasize. Although overwhelming evidence supports an acidic environment as a driver or ubiquitous hallmark of cancer progression, the unrevealed core mechanisms underlying the direct effect of acidification on tumorigenesis have hindered the discovery of novel therapeutic targets and clinical therapy. Here, chemical-induced and transgenic mouse models for colon, liver and lung cancer were established, respectively. miR-7 and TGF-β2 expressions were examined in clinical tissues (n = 184). RNA-seq, miRNA-seq, proteomics, biosynthesis analyses and functional studies were performed to validate the mechanisms involved in the acidic TME-induced lung cancer metastasis. Our data show that lung cancer is sensitive to the increased acidification of TME, and acidic TME-induced lung cancer metastasis via inhibition of miR-7-5p. TGF-β2 is a direct target of miR-7-5p. The reduced expression of miR-7-5p subsequently increases the expression of TGF-β2 which enhances the metastatic potential of the lung cancer. Indeed, overexpression of miR-7-5p reduces the acidic pH-enhanced lung cancer metastasis. Furthermore, the human lung tumor samples also show a reduced miR-7-5p expression but an elevated level of activated TGF-β2; the expressions of both miR-7-5p and TGF-β2 are correlated with patients' survival. We are the first to identify the role of the miR-7/TGF-β2 axis in acidic pH-enhanced lung cancer metastasis. Our study not only delineates how acidification directly affects tumorigenesis, but also suggests miR-7 is a novel reliable biomarker for acidic TME and a novel therapeutic target for non-small cell lung cancer (NSCLC) treatment. Our study opens an avenue to explore the pH-sensitive subcellular components as novel therapeutic targets for cancer treatment.

Inhibitor of nuclear factor kappa-B kinase subunit beta (IKKβ) is one of important kinases in inflammation to phosphorylate inhibitor of nuclear factor kappa-B (IκBα) and then activate nuclear factor kappa-B (NF-κB). Inhibition of IKKβ has been a therapeutic strategy for inflammatory and autoimmune diseases. Here we report that IKKβ is constitutively activated in healthy donors and healthy Ikkβ ^C46A (cysteine 46 mutated to alanine) knock-in mice although they possess intensive IKKβ-IκBα-NF-κB signaling activation. These indicate that IKKβ activation probably plays homeostatic role instead of causing inflammation. Compared to Ikkβ ^WT littermates, lipopolysaccharides (LPS) could induce high mortality rate in Ikkβ ^C46A mice which is correlated to breaking the homeostasis by intensively activating p-IκBα-NF-κB signaling and inhibiting phosphorylation of 5' adenosine monophosphate-activated protein kinase (p-AMPK) expression. We then demonstrated that IKKβ kinase domain (KD) phosphorylates AMPKα1 via interacting with residues Thr183, Ser184, and Thr388, while IKKβ helix-loop-helix motifs is essential to phosphorylate IκBα according to the previous reports. Kinase assay further demonstrated that IKKβ simultaneously catalyzes phosphorylation of AMPK and IκBα to mediate homeostasis. Accordingly, activation of AMPK rather than inhibition of IKKβ could substantially rescue LPS-induced mortality in Ikkβ ^C46A mice by rebuilding the homeostasis. We conclude that IKKβ activates AMPK to restrict inflammation and IKKβ mediates homeostatic function in inflammation via competitively phosphorylating AMPK and IκBα.

Objective:To investigate the role of growth arrest specific protein 6 (Gas6) in regulating macrophage polarization in wound healing.Methods:Clean male B6 mice were randomly(random number) divided into the normal group, skin defect group, skin defect group + normal saline group (PBS group), skin defect + Gas6 (1 μg) group, skin defect + Gas6 (5 μg) group, and skin defect + Gas6 (10 μg) group. Ten mice in each group were used to observe the healing of skin wounds. Macrophages were isolated from the wound tissues of the remaining 6 mice on the fifth day after modeling. The levels of IL-6 and IL-10 were detected by enzyme-linked immunosorbent assay (ELISA), the mRNA expression levels of arginase-1 (Arg-1) and inducible nitric oxide synthase (iNOS) were detected by RT-PCR, and flow cytometry was used to detect the expression of M1 marker CD197, M2 marker CD163 and F4/80. HE staining was used to detect the pathological changes of skin wounds. Masson staining was used to analyze the granulation tissue and collagen deposition.Results:Scab began to form on the surface of the wound on the third day after the skin defect model was established. The wound area of the Gas6 treatment group was smaller than that of the PBS group, and the wound healing was better than that of the PBS group. Compared with the normal group, the proportion of CD197 in macrophages of the skin defect group was significantly increased ( P=0.00 49), the proportion of CD163 and F4/80 double positive was significantly decreased ( P=0.00 86), the level of IL-6 was significantly increased ( P=0.00 13), the level of IL-10 was significantly increased ( P=0.00 14), the level of iNOS mRNA was significantly increased ( P=0.00 8), and Arg-1 was significantly increased in the skin defect group The mRNA level was significantly decreased ( P=0.01 21), and the inflammatory infiltration was aggravated. Compared with the PBS group, the proportion of CD197 in the Gas6 treatment group was significantly decreased ( P=0.00 0), the double positive rates of CD163 and F4/80 were significantly increased ( P = 0.00 0), the level of IL-6 was significantly decreased (P = 0.00 0), the level of IL-10 was significantly increased ( P=0.00 03), the level of iNOS mRNA was significantly decreased ( P=0.00 18), the level of Arg-1 mRNA was significantly increased ( P=0.00 1), and the number of inflammatory cells and the number of collagen fibers were increased. Conclusions:Gas6 can promote the transformation of macrophages from M1 to M2 in mice with skin defect, which is beneficial to the wound healing of skin defect.

The outbreak of coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 has rapidly spread globally. Cancer patients are at a higher risk of being infected with the coronavirus and are more likely to develop severe complications, as compared to the general population. The increasing spread of COVID-19 presents challenges for the clinical care of patients with gynecological malignancies. Concerted efforts should be put into managing gynecological malignancies in an orderly manner by strictly implementing the measures that are specifically developed for controlling the spread of COVID-19. We have drafted Recommendations on Management of Gynecological Malignancies during the COVID-19 Pandemic based on our experience on controlling COVID-19 pandemic in China. We recommend that patients with gynecological malignancies should be managed in hierarchical and individualized manners in combination with local conditions related to COVID-19. Medical care decision should be balanced between controlling COVID-19 pandemic spread and timely diagnosis and treatment for gynecologic oncology patients.

Objective To explore the predictive value of 18F-fluorodeoxyglucose (FDG) PET/CT related metabolic parameters for Kras mutation in colorectal cancer (CRC) patients.Methods Retrospective analysis was conducted in 150 patients (105 males,45 females,median age:63 years) with CRC who underwent 18F-FDG PET/CT in Changhai Hospital of Navy Medical University between November 2011 and August 2017.The primary tumors were removed by surgery and patients received genetic testing within 1 month after PET/CT.18F-FDG PET/CT related metabolic parameters were measured,including maximum standardized uptake value (SUVmax),metabolic tumor volume (MTV;including MTV2.5,MTV20％,MTV30％,MTV40％,MTV50％),total lesion glycolysis (TLG;including TLG2.5,TLG20％,TLG30％,TLG40％,TLG50％).Logistic regression analysis and receiver operating characteristic (ROC) curve analysis were used to analyze the data.Results There were 78 Kras-mutated type patients and 72 wild-type patients.Logistic regression analysis showed that SUVmax (odds ratio (OR) =1.176,95％ CI:1.043-1.327) and MTV2.5 (OR =1.125,95 ％ CI:1.002-1.263) were predictors of Kras mutation.With SUVmax =15.5 and MTV2.5 =23.79 cm3 as the cut-off value,the prediction accuracies of Kras mutation were 67.33％(101/150) and 65.33％(98/150),respectively.The accuracies of SUVmax and MTV2.5 for predicting Kras mutation were higher in recta or sigmoid colon cancers (70.79％(63/89) and 68.54％(61/89)).Conclusion SUVmax and MTV2.5 can predict Kras mutation in CRC patients,but there is a significant gap of predictive efficiency between PET/CT and gene detection.