microRNAs (miRNAs) are an extensive class of -22-nucleotide (nt) endogenous noncoding RNAs regulating life activities ofmetazoans through binding to 3'-untranslated regions (3'-UTRs) of their target genes. This work aimed to identify yan gene in the silkworm, reveal its expression profile and confirm if it is one target of bmo-miR-7 and, as such, have potential for contributing to better understanding of the molecular mechanisms involved in the metamorphosis of silkworm. Based on homolog searching and PCR amplification, we cloned the coding sequence (CDS) of Bmyan, which encodes 476 amino acid residues and contains SAM-PNT and ETs domains. Quantitative PCR (q-PCR), RT-PCR and microarray data revealed high expression of Bmyan in the head, body wall and ovary of day-3 fifth instar larval silkworm, low or no expression in other tissues. It was lowly expressed in the early larval stages, but highly expressed from late spinning to day 4 pupa. The 3'-UTR of Bmyan was obtained by rapid-amplification of cDNA ends (3'RACE) and predicted to contain two potential recognition sites of bmo-miR-7. The luciferase reporter vector containing the 3'-UTR of Bmyan was constructed and co-transfected into BmE cell line with the mimic of bmo-miR-7 and the decreased relative activity of luciferase showed that Bmyan is one target of bmo-miR-7. This work helps further functional analysis of bmo-miR-7 and Bmyan in the silkworm.
3' Untranslated Regions ; Animals ; Bombyx ; genetics ; Cell Line ; Cloning, Molecular ; Female ; Genetic Vectors ; Insect Proteins ; genetics ; Larva ; Metamorphosis, Biological ; MicroRNAs ; genetics ; Pupa

Objective To analyze the correlation between the single nucleotide polymorphisms (SNPs) in the promoter of Piwil1 gene and gastric cancer. Methods The expression of Piwil1 mRNA in the tumor tissues of 3 patients with gastric cancer was detected by RT-qPCR, and RNA-Sequencing data from the Cancer RNA-Seq Nexus were analyzed for Piwil1 mRNA expression in gastric patients. Blood samples were collected from 24 gastric cancer patients and 29 healthy control subjects for PCR amplification of Piwil1 gene promoter region. The SNP loci in the promoter region of Piwil1 gene were determined by direct sequencing, and the results were analyzed by SnapGene software. Results Analysis of the data from Cancer RNA-Seq Nexus and the results of RT-qPCR in 3 gastric cancer patients all showed significantly increased Piwil1 expression in gastric cancer tissues compared with the adjacent tissues. Seven SNP loci in two CpG regions of the Piwil1 gene promoter were genotyped, and only one SNP locus was found to be related to gastric cancer. The frequencies of GG, GA, and AA genotypes at the rs28416520 locus in CpG 67 region were 79.2％, 16.7％, and 4.1％in the gastric cancer group, and were 37.9％, 55.2％, and 6.9％in the control group, respectively, showing a significantly higher frequency of the GG genotype in gastric cancer group (OR=0.144, 95％CI:0.045-0.564,χ2=9.071, P＜0.01). The frequency of allele G of the rs28416520 locus was significantly higher in gastric cancer group than in the control group (87.5％vs 65.5％;OR=0.271, 95％CI:0.099-0.766,χ2=6.856, P＜0.01). The genotype or allele frequencies of the other 6 SNPs locus did not differ significantly between gastric cancer group and control group. Conclusions The expression of Piwil1 is increased in gastric cancer tissues as compared with the adjacent tissues. The GG genotype and G allele of rs28416520 within CpG 67 region are associated with an increased risk of gastric cancer.

Objective To analyze the correlation between the single nucleotide polymorphisms (SNPs) in the promoter of Piwil1 gene and gastric cancer. Methods The expression of Piwil1 mRNA in the tumor tissues of 3 patients with gastric cancer was detected by RT-qPCR, and RNA-Sequencing data from the Cancer RNA-Seq Nexus were analyzed for Piwil1 mRNA expression in gastric patients. Blood samples were collected from 24 gastric cancer patients and 29 healthy control subjects for PCR amplification of Piwil1 gene promoter region. The SNP loci in the promoter region of Piwil1 gene were determined by direct sequencing, and the results were analyzed by SnapGene software. Results Analysis of the data from Cancer RNA-Seq Nexus and the results of RT-qPCR in 3 gastric cancer patients all showed significantly increased Piwil1 expression in gastric cancer tissues compared with the adjacent tissues. Seven SNP loci in two CpG regions of the Piwil1 gene promoter were genotyped, and only one SNP locus was found to be related to gastric cancer. The frequencies of GG, GA, and AA genotypes at the rs28416520 locus in CpG 67 region were 79.2％, 16.7％, and 4.1％in the gastric cancer group, and were 37.9％, 55.2％, and 6.9％in the control group, respectively, showing a significantly higher frequency of the GG genotype in gastric cancer group (OR=0.144, 95％CI:0.045-0.564,χ2=9.071, P＜0.01). The frequency of allele G of the rs28416520 locus was significantly higher in gastric cancer group than in the control group (87.5％vs 65.5％;OR=0.271, 95％CI:0.099-0.766,χ2=6.856, P＜0.01). The genotype or allele frequencies of the other 6 SNPs locus did not differ significantly between gastric cancer group and control group. Conclusions The expression of Piwil1 is increased in gastric cancer tissues as compared with the adjacent tissues. The GG genotype and G allele of rs28416520 within CpG 67 region are associated with an increased risk of gastric cancer.

Objective:To investigate the clinical characteristics of first-episode and recurrent acute hypertriglyceridemic pancreatitis (HTGP).Methods:The retrospective cohort study was con-ducted. The clinical data of 313 patients with HTGP admitted to 26 medical centers in China in the Chinese Acute Pancreatitis Clinical Research Group (CAPCTG)-PERFORM database from November 2020 to December 2021 were collected. There were 219 males and 94 females, aged 38(32,44)years. Of the 313 patients, 193 patients with first-episode HTGP were allocated into the first-episode group and 120 patients with recurrent HTGP were allocated into the recurrent group. Observation indica-tors: (1) propensity score matching and comparison of general data of patients between the two groups after matching; (2) comparison of severity and prognosis in the course of disease within 14 days between the two groups; (3) the association between recurrent HTGP and the risk of persistent organ failure (POF); (4) follow-up. Measurement data with normal distribution were represented as Mean± SD, and comparison between groups was conducted using the independent sample t test. Measurement data with skewed distribution were represented as M( Q1, Q3), and comparison between groups was conducted using the Wilcoxon rank sum test. Count data were expressed as absolute numbers or percentages, and comparison between groups was conducted using the chi-square test. Comparison of ordinal data was conducted using the Wilcoxon rank sum test. The Kaplan-Meier method was used to plot the cumulative recurrence rate curve and Log-Rank test was used for survival analysis. The Logistic regression model was used for multivariate analysis, and continuous variables were converted into categorical variables according to the mean value or common criteria. Propensity score matching was performed by 1∶1 nearest neighbor matching method, with caliper value of 0.02. Paired t test or Wilcoxon rank sum test and McNemar′s test were used for comparison between matched groups. Results:(1) Propensity score matching and comparison of general data of patients between the two groups after matching. Of the 313 patients,208 cases were successfully matched, including 104 cases in the first-episode group and 104 cases in the recurrent group. After propensity score matching, there was no significant difference in demographic characteristics, severity of illness scores and laboratory test between the two groups ( P>0.05). The elimination of gender, acute physiology and chornic health evaluation (APACHE) Ⅱ score, computed tomography severity index score, systemic inflammatory response syndrome score, sequential organ failure assessment score, apolipoprotein E, C-reactive protein, creatinine, lactic acid dehydrogenase, procal-citonin confounding bias ensured comparability between the two groups. (2) Comparison of severity and prognosis in the course of disease within 14 days between the two groups. There were signifi-cant differences in POF and local complications between the first-episode group and the recurrent group ( P<0.05). (3) The association between recurrent HTGP and the risk of POF. Results of uncor-rected univariate analysis showed that there was no association between recurrent HTGP and the risk of POF ( odds ratio=0.78, 95% confidence interval as 0.46-1.30, P>0.05). Results of multivariate analysis after adjusting for covariates such as gender, age, APACHE Ⅱ score, C-reactive protein, triglyceride and total cholesterol showed that compared with first-episode HTGP, recurrent HTGP was associated with a higher risk of POF ( odds ratio=2.22, 95% confidence interval as 1.05-4.71, P<0.05). Results of subgroup analysis showed that age<40 years was associated with an increased risk of POF ( odds ratio=3.31, 95% confidence interval as 1.09-10.08, P<0.05). (4) Follow-up. Twelve of the 313 patients died during hospitalization, including 9 cases in the first-episode group and 3 cases in the recurrent group. The rest of 301 surviving patients, including 184 cases in the first-episode group and 117 cases in the recurrent group, were followed up for 19.2(15.5, 21.9)months. Results of follow-up showed that for 184 survived patients of the first-episode group, 164 cases were followed up and 24 cases experienced recurrence, for 117 survived patients of the recurrent group,29 cases experienced recurrence, showing a significant difference between the two groups ( χ2=4.67, P<0.05). Conclusion:Compared with first-episode HTGP, patients with recurrent HTGP are more prone to POF and local complications, and are more prone to recurrence after discharge. The risk of POF in recurrent HTGP patients is 2.22 times that of those with first-episode, and the risk is higher in patients with age <40 years.

The heterochronic genes regulate cell proliferation and switch development stage transitions. Heterochronic genes might also play important roles in regulating the development of silkworm, but very few of their expression profiles, functions and their relationship with microRNAs are available so far. Firstly, in this work, the primers for cloning Bmlin-41 were designed based on the homologous sequence of known Drosophila melanogaster lin-41, which was used as the query to blast against SilkDB. The obtained full CDS (2 166 bp) of Bmlin-41 encodes 721 amino acids and contains B-box and NHL domains. Then, the spatiotemporal expression patterns of Bmlin-41 were characterized by RT-PCR, quantitative real time PCR as well as our lab's previous silkworm genome microarray data. Bmlin-41 was increasingly expressed from embryonic to adult stage. In diverse tissues of day-3 fifth instar, Bmlin-41 showed the highest accumulation in ovary, secondly in testis and midgut, but very low expression was observed in other tissues. Finally, 3'UTR of Bmlin-41 1 434 bp was cloned by rapid-amplification of cDNA ends (3'RACE) and was predicted to bare two binding sites of bmo-let-7 by using online RNAhybrid. To verify the binding effect, 3'UTR was cloned into psi-CHECK-2 vector and submitted to dual luciferase assay in the S2 cells in vitro. The dual luciferase assay demonstrated that Bmlin-41 was down-regulated by bmo-let-7 mimics and upregulated by bmo-let-7 antagomir, thus confirming the Bmlin-41 is negatively regulated by bmo-let-7. Our work might help further study on the roles of Bmlin-41 and bmo-let-7 and their regulation relationship involved in controlling metamorphosis of silkworm.
3' Untranslated Regions ; Animals ; Bombyx ; Cloning, Molecular ; DNA, Complementary ; Down-Regulation ; Drosophila melanogaster ; Gene Expression Regulation ; Insect Proteins ; genetics ; metabolism ; Metamorphosis, Biological ; MicroRNAs ; metabolism ; Transcription Factors ; genetics ; metabolism

Objective:To summarize the clinical characteristics of patients with coronavirus disease 2019 (COVID-19) infected with Delta variant, so as to provide further references for clinical diagnosis and treatment.Methods:A real-world study was conducted to analyze the characteristics of 166 COVID-19 patients infected with Delta variant at Guangzhou Eighth People’s Hospital, Guangzhou Medical University.Results:The study enrolled 5 asymptomatic cases, 123 non-severe cases (mild and moderate type), and 38 severe cases (severe and critical type). Among these patients, 69 (41.6%) were male and 97 (58.4%) were female, with a mean age of 47.0±23.5 years. Thirty-nine cases (23.5%) had received 1 or 2 doses of inactivated vaccine. The incidence of severe COVID-19 cases was 7.7% in 2-doses vaccinated patients, which was lower than that of 11.5% in 1-dose and 26.8% in unvaccinated patients. The proportion of severe cases in 2 dose-vaccinated patients was 7.7%, which was lower than that of 11.5% in 1-dose vaccinated patients and 26.8% in unvaccinated patients, but the difference was not significant ( P>0.05). The most common clinical symptom was fever (134 cases, 83.2%), and 39.1% of cases presented with high-grade fever (≥39 °C); other symptoms were cough, sputum, fatigue, and xerostomia. The proportion of fever in severe cases was significantly higher than that of non-severe cases (97.4% vs. 76.4%, P<0.01). Similarly, the proportion of severe cases with high peak temperature (≥39 ℃) () was also higher than that of non-severe cases (65.8% vs. 30.9%, P<0.01). The median minimal Cycle threshold (Ct) values of viral nucleic acid N gene and ORFlab gene were 20.3 and 21.5, respectively, and the minimum Ct values were 11.9 and 13.5, respectively. Within 48 h of admission, 9.0% of cases presented with decreased white blood cell counts, and 52.4% with decreased lymphocyte counts. The proportions of increased C-reactive protein, serum amyloid A, interleukin 6, and interleukin 10 were 32.5%, 57.4%, 65.3%, and 35.7%, respectively. The proportions of elevated C-reactive protein, serum amyloid A and interleukin-6 in severe cases were significantly higher than those in non-severe cases ( P<0.01). Logistic regression analysis showed that older age and higher peak temperature were associated with a higher likelihood of severe cases ( OR>3, 95% CI: 2-7, P<0.01). In terms of treatment, traditional Chinese medicine (TCM) was used in 97.6% of non-severe cases and 100% in severe cases. Other treatments included respiratory and nutritional support, immunotherapy (such as neutralizing antibodies and plasma of recovered patients). The median times from admission to progression to severe cases, of fever clearance, and of nucleic acid conversion were 5 days, 6 days and 19 days, respectively. No deaths were reported within 28 days. Conclusions:The symptoms of Delta variant infection in Guangzhou are characterized by a high proportion of fever, high peak temperature, long duration of fever, high viral load, a long time to nucleic acid conversion, and a high incidence of severe cases. The severe cases exhibit a higher percentage of elderly patients, a longer duration of fever and have a higher fever rate and a higher hyperthermia rate than non-severe cases. Age and hyperthermia are independent risk factors for progression to severe disease. The combination of TCM and Western medicine can control the progression of the disease effectively.