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.

Objective:To analyze the gender difference in behavioral and psychological symptoms of dementia (BPSD) of amnestic mild cognitive impairment (aMCI) and Alzheimer′s disease (AD).Methods:It was a cross-sectional study. The clinical data of 201 patients with aMCI and 146 patients with AD were continuously collected from the Chinese Imaging, Biomarkers and Lifestyle Study of Alzheimer′s Disease (CIBL) cohort between June 1, 2021 to February 1, 2023 in Beijing Tiantan Hospital, Capital Medical University. The BPSD subtypes were compared between different gender. The gender-different BPSD subtypes were divided into depression group (126 cases) and non-depression group (221 cases), anxiety group (140 cases) and non-anxiety group (207 cases), indifference group (131 cases) and non-indifference group (216 cases). The sociodemographic data (age, sex, education level, marital status), hypertension, diabetes, stroke, heart disease, hyperlipidemia, smoking history, drinking history, carrier status of apolipoprotein E epsilon4 allele (APOE ε4), and the scores of the Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA), Neuropsychiatric Inventory (NPI), Activity of Daily Living (ADL) were compared by using hypothesis testing. Multivariate logistic regression was used to analyze the gender differences of BPSD in aMCI and AD patients.Results:The incidence rates of depression and anxiety in female were both significantly higher than those in male (44.93% vs 23.57%, 44.93% vs 33.57%), and the incidence rate of apathy was significantly lower than that in male (32.37% vs 45.71%) (all P<0.05). The proportion of female and ADL scores in depression group were both significantly higher than those in non-depression group [73.81% vs 51.58%, 22.00 (20.00, 30.00) vs 20.00 (20.00, 26.00) points], and the proportion of smoking and drinking history and MoCA scores in depression group were all significantly lower than those in non-depression group [13.49% vs 25.79%, 19.84% vs 35.75%, 16.00 (10.00, 22.00) vs 19.00 (13.00, 24.00) points] (all P<0.05). The proportion of female and ADL scores in anxiety group were both significantly higher than those in non-anxiety group [66.43% vs 55.07%, 23.00 (20.00, 30.75) vs 20.00 (20.00, 25.00) points], and the MMSE and MoCA scores in anxiety group were both significantly lower than those in non-anxiety group [23.00 (16.00, 27.00) vs 24.00 (19.00, 28.00) points, 16.00 (10.00, 21.00) vs 20.00 (13.00, 13.00) points] (all P<0.05). The proportion of female and the MMSE and MoCA scores in apathy group were all significantly lower than those in non-apathy group [51.15% vs 64.81%, 19.00 (11.00, 25.00) vs 26.00 (22.00, 28.00) points, 14.00 (7.00, 19.00) vs 21.00 (15.25, 24.00) points], and the age, proportion of APOE ε4 carriers and ADL scores in apathy group were all significantly higher [67.0 (61.0, 76.0) vs 66.0 (60.0, 71.0) years, 42.74% vs 31.31%, 27.00 (22.00, 38.00) vs 20.00 (20.00, 22.00) points] (all P<0.05). Female ( OR=2.384, 95% CI: 1.274-4.459) and decrease in MoCA score ( OR=0.955, 95% CI: 0.914-0.998) were positively correlated with risk of depression. Female ( OR=1.704, 95% CI: 1.077-2.695) was positively correlated with risk of anxiety. Male ( OR=0.558, 95% CI: 0.333-0.936), decrease in MoCA scores ( OR=0.937, 95% CI: 0.894-0.983) and increase in ADL scores ( OR=1.070, 95% CI: 1.027-1.116) were positively correlated with risk of apathy (all P<0.05). Conclusions:There are significant gender differences in BPSD in aMCI and AD patients. Female is positively correlated with risk of depression and anxiety, while male is positively correlated with the occurrence of apathy. Clinical attention should be paid to hierarchical management of BPSD patients of different gender.

Background and objective Lung cancer is a common malignant tumor of the lung.To explore the molecular mechanism of the occurrence and development of lung cancer is a hot topic in current research.Cyclic RNA D1(CircCCND1)is highly expressed in lung cancer and may be a potential target for the treatment of lung cancer.The aim of this study was to investigate the effect of CircCCND1 on the malignant biological behaviors of lung cancer cells by regulat-ing the miR-340-5p/transforming growth factor β-induced factor homeobox 1(TGIF1)axis.Methods The expression of CircCCND1,miR-340-5p,and TGIF1 mRNA in human normal lung epithelial cells BEAS-2B and human lung cancer H446 cells were detected.H446 cells cultured in vitro were randomly divided into control group,CircCCND1 siRNA group,miR-340-5p mimics group,negative control group,and CircCCND1 siRNA+miR-340-5p inhibitor group.Cell proliferation,mito-chondrial membrane potential,apoptosis,migration,and invasion were detected,and the expressions of CircCCND1,miR-340-5p,TGIF1 mRNA,BCL2-associated X protein(Bax),cleaved Caspase-3,N-cadherin,E-cadherin,and TGIF1 proteins in each group were detected.The targeting relationship of miR-340-5p with CircCCND1 and TGIF1 was verified.Results Compared with BEAS-2B cells,CircCCND1 and TGIF1 mRNA were increased in H446 cells,and miR-340-5p expression was decreased(P＜0.05).Knocking down CircCCND1 or up-regulating the expression of miR-340-5p inhibited the proliferation,migration and invasion of H446 cells,decreased the expression of TGIF1 mRNA and TGIF 1 protein,and promoted cell apop-tosis.Down-regulation of miR-340-5p could antagonize the inhibitory effect of CircCCND1 knockdown on the malignant bio-logical behavior of H446 lung cancer cells.CircCCND1 may target the down-regulation of miR-340-5p,and miR-340-5p may target the down-regulation of TGIF 1.Conclusion Knocking down CircCCND1 can inhibit the malignant behaviors of lung cancer H446 cells,which may be achieved through the regulation of miR-340-5p/TGIF1 axis.

Purpose To investigate the clinical pathologic features of five SMARCA4-deficient non-small lung cancers(SMARCA4-dNSCLCs).Methods Five cases of SMARCA4-dNSCLC was underwent by HE,immunohistochemical staining,and molecular detection,analyzed their clinicopathological char-acteristics and reviewed relevant literatures.Results All 5 ca-ses were male,and mean age was 66 years.Five patients had a history of smoking,three patients were treated with cough and blood in sputum as the first symptom,one was treated with a history of pulmonary tuberculosis combined with limb mobility disorder,and one was diagnosed with pulmonary nodules by physical examination.Under microscopic observation,tumor cells were poorly differentiated,with solid nest sheet distribu-tion,some with glandular structure,tumor cells had abundant e-osinophilic or transparent cytoplasm,vacuolar nuclear chroma-tin,nucleoli was visible,and nuclear mitosis was common.In-flammatory cell infiltration and sheet of necrosis were seen in the stroma.Immunohistochemical staining showed 5/5 diffuse ex-pression of CK(AE1/AE3)and CK7,5/5 loss expression of BRG1,1/5 diffuse expression of p40 and CK5/6,and Ki67 proliferating index ranged from 20％to 90％.FISH tests showed that 4/4 SMARCA4 genes missed.Five patients were followed up for 2-15 months,3 patients died and 2 patients survived.Conclusions SMARCA4-dNSCLC can have extensive morphologi-cal features,high degree of malignancy,and complicated treat-ment.BRG1 deficiency is helpful for diagnosis.Deepening the understanding of SMARCA4-dNSCLC can help the clinical cor-rect choice of treatment strategies and accurately evaluate patient prognosis.

Objective To investigate the interaction between serum uric acid(SUA)and islet β cell function,and its influence in the development of diabetic peripheral neuropathy(DPN)in patients with type 2 diabetes mellitus(T2DM).Methods A total of 122 patients with T2DM who visited General Medicine Department of our hospital from January 2019 to May 2023 were enrolled in this study and divided into two groups according to whether they had DPN:T2DM group(n=30)and DPN group(n=92).Patients in DPN group were further divided into three groups according to the severity of DPN:mild DPN group(L-DPN,n=30),moderate DPN group(M-DPN,n=36)and severe DPN group(H-DPN,n=26).The clinical data and biochemical indexes were compared and analyzed among the four groups.Logistic multivariate analysis was used to analyze the relationship between SUA and islet β cell secretory function and severe DPN.Multivariate logistic regression was used to analyze the risk factors for the severity of DPN.Stepwise regression method was used to screen the most important related factors for the severity of DPN,and a nomogram model was constructed and validated.The interaction between SUA and islet β cell function,and its influence in the development of DPN in T2DM patients were analyzed.Results Multivariate logistic regression analysis showed that age,SUA,aspartate aminotransferase,HDL-C,HbAlc,islet β cell secretion function(C2/C0)and insulin resistance index(HOMA-IR)were all independent influencing factors for the severity of DPN(P<0.05).The C indices of SUA,C2/C0,HOMA-IR,HbAlc and HDL-C prediction models were 0.776 and 0.769 on the training set and validation set respectively,which were most correlated with the aggravation of DPN degree.The area under the curve of the nomogram model for predicting the risk of DPN severity was 0.928(95%CI 0.856～0.986)and 0.917(95%CI 0.856～0.986)before and after validation respectively.The mean absolute error of the calibration curve was 0.013,which could be used as a risk tool to predict the risk of DPN aggravation.The results of interaction analysis showed that there were multiplicative and additive interactions between SUA and islet β cell secretion.Conclusions There is an interaction between SUA and islet β cell secretion function,which is a risk factor for the aggravation of DPN.The risk factors can be early warned according to the nomogram model,so as to carry out targeted prevention and treatment for T2DM patients.

In response to the problem that the traditional lower limb rehabilitation scale assessment method is time-consuming and difficult to use in exoskeleton rehabilitation training, this paper proposes a quantitative assessment method for lower limb walking ability based on lower limb exoskeleton robot training with multimodal synergistic information fusion. The method significantly improves the efficiency and reliability of the rehabilitation assessment process by introducing quantitative synergistic indicators fusing electrophysiological and kinematic level information. First, electromyographic and kinematic data of the lower extremity were collected from subjects trained to walk wearing an exoskeleton. Then, based on muscle synergy theory, a synergistic quantification algorithm was used to construct synergistic index features of electromyography and kinematics. Finally, the electrophysiological and kinematic level information was fused to build a modal feature fusion model and output the lower limb motor function score. The experimental results showed that the correlation coefficients of the constructed synergistic features of electromyography and kinematics with the clinical scale were 0.799 and 0.825, respectively. The results of the fused synergistic features in the K-nearest neighbor (KNN) model yielded higher correlation coefficients ( r = 0.921, P < 0.01). This method can modify the rehabilitation training mode of the exoskeleton robot according to the assessment results, which provides a basis for the synchronized assessment-training mode of "human in the loop" and provides a potential method for remote rehabilitation training and assessment of the lower extremity.
Humans ; Exoskeleton Device ; Reproducibility of Results ; Walking/physiology* ; Lower Extremity ; Algorithms ; Stroke Rehabilitation/methods*

The acute combination fractures of the atlas and axis in adults have a higher rate of neurological injury and early death compared with atlas or axial fractures alone. Currently, the diagnosis and treatment choices of acute combination fractures of the atlas and axis in adults are controversial because of the lack of standards for implementation. Non-operative treatments have a high incidence of bone nonunion and complications, while surgeries may easily lead to the injury of the vertebral artery, spinal cord and nerve root. At present, there are no evidence-based Chinese guidelines for the diagnosis and treatment of acute combination fractures of the atlas and axis in adults. To provide orthopedic surgeons with the most up-to-date and effective information in treating acute combination fractures of the atlas and axis in adults, the Spinal Trauma Group of Orthopedic Branch of Chinese Medical Doctor Association organized experts in the field of spinal trauma to develop the Evidence-based guideline for clinical diagnosis and treatment of acute combination fractures of the atlas and axis in adults ( version 2023) by referring to the "Management of acute combination fractures of the atlas and axis in adults" published by American Association of Neurological Surgeons (AANS)/Congress of Neurological Surgeons (CNS) in 2013 and the relevant Chinese and English literatures. Ten recommendations were made concerning the radiological diagnosis, stability judgment, treatment rules, treatment options and complications based on medical evidence, aiming to provide a reference for the diagnosis and treatment of acute combination fractures of the atlas and axis in adults.