Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

This consensus will introduce the characteristics of fillers used in the surgical cavities of domestic nasal surgery patients based on relevant literature and expert opinions. It will also provide recommendations for the selection of cavity fillers for different nasal diseases, with chronic sinusitis as a representative example.
Humans ; Nasal Cavity/surgery* ; Nasal Surgical Procedures ; China ; Consensus ; Sinusitis/surgery* ; Dermal Fillers

Objective:To study the comprehensive surgical treatment of brucellosis with chest wall cysts as the main manifestation.Methods:Retrospective analysis was made on the general information epidemiological characteristics, clinical manifestations, laboratory examinations, imaging examinations, treatment and outcomes of five patients with brucellosis mainly manifested by chest wall cysts admitted to the 948 Hospital of the People's Liberation Army from July 2019 to June 2022.Results:Among the 5 patients, there were 4 males and 1 female, aged between 23 and 64 years old, with a clear history of contact with cattle and sheep. The main clinical manifestation was painless cystic masses on the chest wall. Both the serum tiger red plate agglutination test (RBPT) and the test tube agglutination test (SAT) were positive. Four cases were infected with Brucella and one case was infected with Actinobacillus pleuropneumoniae (considered as Brucella infection based on the overall condition). All patients exhibited abnormal chest wall signals (manifesting as hypointense on T1-weighted imaging and hyperintense on T2-weighted imaging) on magnetic resonance imaging(MRI), and were ultimately diagnosed with brucellosis presenting predominantly as chest wall cysts. After complete removal of the chest wall cyst through surgery, a combination treatment of rifampicin capsules and doxycycline hyclate tablets was given for 6 weeks. There were no significant adverse reactions and the wound healed in one stage. During the postoperative follow-up period of 11 - 40 months, MRI reexamination demonstrated no evidence of chest wall cyst recurrence, and all SAT results were negative. Conclusions:Patients with brucellosis presenting as chest wall cysts are clinically rare and lack specific symptoms. Surgical resection of the affected lesion combined with early, standardized, combined, and full course antimicrobial therapy results in a good prognosis for the patient.

Objective:To study the comprehensive surgical treatment of brucellosis with chest wall cysts as the main manifestation.Methods:Retrospective analysis was made on the general information epidemiological characteristics, clinical manifestations, laboratory examinations, imaging examinations, treatment and outcomes of five patients with brucellosis mainly manifested by chest wall cysts admitted to the 948 Hospital of the People's Liberation Army from July 2019 to June 2022.Results:Among the 5 patients, there were 4 males and 1 female, aged between 23 and 64 years old, with a clear history of contact with cattle and sheep. The main clinical manifestation was painless cystic masses on the chest wall. Both the serum tiger red plate agglutination test (RBPT) and the test tube agglutination test (SAT) were positive. Four cases were infected with Brucella and one case was infected with Actinobacillus pleuropneumoniae (considered as Brucella infection based on the overall condition). All patients exhibited abnormal chest wall signals (manifesting as hypointense on T1-weighted imaging and hyperintense on T2-weighted imaging) on magnetic resonance imaging(MRI), and were ultimately diagnosed with brucellosis presenting predominantly as chest wall cysts. After complete removal of the chest wall cyst through surgery, a combination treatment of rifampicin capsules and doxycycline hyclate tablets was given for 6 weeks. There were no significant adverse reactions and the wound healed in one stage. During the postoperative follow-up period of 11 - 40 months, MRI reexamination demonstrated no evidence of chest wall cyst recurrence, and all SAT results were negative. Conclusions:Patients with brucellosis presenting as chest wall cysts are clinically rare and lack specific symptoms. Surgical resection of the affected lesion combined with early, standardized, combined, and full course antimicrobial therapy results in a good prognosis for the patient.

Background and objective Radiation therapy is one of the most common treatments for non-small cell lung cancer(NSCLC).However,the insensitivity of some tumor cells to radiation is one of the major reasons for the poor efficacy of radiotherapy and the poor prognosis of patients,and exploring the underlying mechanisms behind radioresistance is the key to solving this clinical challenge.This study aimed to identify the molecules associated with radioresistance in lung ad-enocarcinoma(LUAD),identified thyroid hormone receptor interactor 13(TRIP13)as the main target initially,and explored whether TRIP 13 is related to radioresistance in LUAD and the specific mechanism,with the aim of providing theoretical basis and potential targets for the combination therapy of LUAD patients receiving radiotherapy in the clinic.Methods Three data-sets,GSE18842,GSE19188 and GSE33532,were selected from the Gene Expression Omnibus(GEO)database and screened for differentially expressed genes(|log FC|＞1.5,P＜0.05)in each of the three datasets using the R 4.1.3 software,and then Venn diagram was used to find out the differentially expressed genes common to the three datasets.The screened differential genes were then subjected to protein-protein interaction(PPI)analysis and module analysis with the help of STRING online tool and Cytoscape software,and survival prognosis analysis was performed for each gene with the help of Kaplan-Meier Plotter database,and the TRIP13 gene was identified as the main molecule for subsequent studies.Subsequently,the human LUAD cell line H292 was irradiated with multiple X-rays using a sub-lethal dose irradiation method to construct a radioresistant cell line,H292DR.The radioresistance of H292DR cells was verified using cell counting kit-8(CCK-8)assay and clone formation assay.The expression levels of TRIP 13 in H292 and H292DR cells were measured by Western blot.Small interfering RNA(siRNA)was used to silence the expression of TRIP 13 in H292DR cells and Western blot assay was performed.The clone formation ability and migration ability of H292DR cells were observed after TRIP13 silencing,followed by the detection of changes in the expression levels of proteins closely related to homologous recombination,such as ataxia telangiectasia mutated(ATM)protein.Results Screening of multiple GEO datasets,validation of external datasets and survival analysis revealed that TRIP 13 was highly expressed in LUAD and was associated with poor prognosis in LUAD patients who had received radiation therapy.And the results of gene set enrichment analysis(GSEA)of TRIP13 suggested that TRIP13 might be closely associated with LUAD radioresistance by promoting homologous recombination repair after radiation therapy.Experimentally,TRIP13 expression was found to be upregulated in H292DR,and silencing of TRIP13 was able to increase the sensitivity of H292DR cells to radiation.Conclusion TRIP13 is associated with poor prognosis in LUAD patients treated with radiation,possibly by promoting a homologous recombination repair pathway to mediate resistance of LUAD cells to radiation.

Objective The CRISPR/Cas9 system was utilized to generate an Apoe knockout mice model to support further investigations of the role of Apoe in lipid metabolism and atherosclerosis.Methods Two single guide RNAs designed for Apoe in C57BL/6J mice were co-injected with Cas9 mRNA into fertilized eggs,followed by transplantation into ICR recipient mice to obtain F0 generation mice.KO mice were identified by polymerase chain reaction(PCR)screening of tail DNA.Apoe mRNA expression in various tissues was assessed by quantitative real-time PCR and lipid indexes were measured in serum samples.Lipid accumulation in the inner lining of aortic vessels was detected by oil red O staining.Results PCR and sequencing confirmed the successful construction of Apoe KO mice(C57BL/6-Apoeem1/Nifdc).Apoe mRNA levels were significantly reduced in the liver,brain,spleen,kidney,and lung tissues of Apoe KO homozygous mice(Apoe-/-),as shown by reverse transcription quantitative real-time PCR.Serum total cholesterol and low-density lipoprotein cholesterol levels were increased in Apoe-/-mice,and high-density lipoprotein cholesterol levels were decreased in male Apoe-/-mice.Extensive lipid plaques were observed in the inner lining of the arteries in Apoe-/-mice compared with WT mice,under normal chow consumption conditions.Conclusions This study successfully established an Apoe KO mice model exhibiting a typical abnormal lipid metabolism phenotype with arterial lipid accumulation,even without a high-fat diet intervention.This work provides background data for the Apoe KO mice resource and a new model for the study of abnormal lipid metabolism.

Objective We generated ob mice(C57BL/6N-Lepem1/Nifdc)with Lep gene knockout(ob/ob)using the CRISPR/Cas9 system,to establish a suitable animal model for preclinical drug evaluation for clinical diseases such as diabetes.Methods According to the principle of CRISPR/Cas9 target design,single guide RNA targeting the mouse Lep gene was designed for transcription in vitro,and microinjected with Cas9 mRNA into mouse zygotes.Mouse tail DNA was extracted and detected by polymerase chain reaction and sequencing,followed by mating of positive and wild-type mice.Blood biochemistry and liver pathology were assessed in homozygous ob mice.Results Eight positive mice were identified and a stable mouse strain was selected for further breeding.Serum triglycerides,total cholesterol,and alanine aminotransferase levels were significantly higher in homozygous ob mice than in wild-type mice,and liver pathology showed inflammatory infiltration and lipid vacuolar transformations.Conclusions We successfully established a Lep gene knockout mouse model,which will provide an important addition to the national rodent experimental animal database and an animal model for preclinical drug evaluation.