The plants of the genus Caragana Fabr. are desert plants of the Leguminosae family, which are widely used in traditional ethnomedicine, with the effects of nourishing Yin and nourishing blood, dispelling wind and removing dampness, clearing heat and detoxifying toxins. The anti-inflammatory effect of Caragana Fabr. has attracted much attention, the research on the related mechanism has made some progress, but it lacks systematic collation. By summarising the anti-inflammatory effects of the active ingredients of Caragana Fabr., the authors found that they have good anti-inflammatory activities on different inflammatory cell models in vitro, and have good improvement effects on rheumatoid arthritis, colitis, complex nephritis, and acute lung injury and other disease models. The anti-inflammatory effects of the active components of this genus mainly include the reduction of the levels of a variety of pro-inflammatory factors, and the signalling pathways involved mainly include TLR4/NF-κB, TLR4/MAPK, TLR4/NF-κB/IRF3, JAK/STAT-1, ERK/STAT-1 and so on. Therefore, the paper mainly reviews the research progress on the anti-inflammatory effects and mechanisms of the Caragana Fabr. plants and their active components according to disease types, with a view to providing reference for the in-depth study of their anti-inflammatory activities and the development of new products with related functions.

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: Hepatic fibrosis has been widely considered as a conjoint consequence of almost all chronic liver diseases. Chuanxiong Rhizoma (Chuanxiong in Chinese, CX) is a traditional Chinese herbal product to prevent cerebrovascular, gynecologic and hepatic diseases. Our previous study found that CX extracts significantly reduced collagen contraction force of hepatic stellate cells (HSCs). Here, this study aimed to compare the protection of different CX extracts on bile duct ligation (BDL)-induced liver fibrosis and investigate plausible underlying mechanisms. METHODS: The active compounds of CX extracts were identified by high performance liquid chromatography (HPLC). Network pharmacology was used to determine potential targets of CX against hepatic fibrosis. Bile duct hyperplasia and liver fibrosis were evaluated by serologic testing and histopathological evaluation. The expression of targets of interest was determined by quantitative real-time PCR (qPCR) and Western blot. RESULTS: Different CX extracts were identified by tetramethylpyrazine, ferulic acid and senkyunolide A. Based on the network pharmacological analysis, 42 overlap targets were obtained via merging the candidates targets of CX and liver fibrosis. Different aqueous, alkaloid and phthalide extracts of CX (CX_AE, CX_AL and CX_PHL) significantly inhibited diffuse severe bile duct hyperplasia and thus suppressed hepatic fibrosis by decreasing CCCTC binding factor (CTCF)-c-MYC-long non-coding RNA H19 (H19) pathway in the BDL-induced mouse model. Meanwhile, CX extracts, especially CX_AL and CX_PHL also suppressed CTCF-c-MYC-H19 pathway and inhibited ductular reaction in cholangiocytes stimulated with taurocholate acid (TCA), lithocholic acid (LCA) and transforming growth factor beta (TGF-β), as illustrated by decreased bile duct proliferation markers. CONCLUSION Our data supported that different CX extracts, especially CX_AL and CX_PHL significantly alleviated hepatic fibrosis and bile duct hyperplasia via inhibiting CTCF-c-MYC-H19 pathway, providing novel insights into the anti-fibrotic mechanism of CX.

Objective:To analyze the clinical and immunological characteristics of children with acute viral infection-related encephalopathy.Methods:Case-control study.A retrospective analysis was conducted on the clinical data of children diagnosed with acute viral infection-related encephalopathy during hospitalization at the Children′s Hospital, Capital Institute of Pediatrics from January 2020 to January 2023.According to the last follow-up modified Rankin scale (mRS) score, these children were divided into a good prognosis group (mRS score ≤2) and a poor prognosis group (mRS score >2), and the clinical and immunological characteristics of the children with different prognoses were analyzed.The binary Logistic regression was used to analyze the risk factors for poor prognosis.Results:A total of 28 children with acute viral infection-related encephalopathy aged 4 months to 11 years were included.There were 16 males (57%) and 12 females (43%). Among the preinfection viruses, there were 16 children of Corona virus disease 2019, 8 children of influenza A virus, 3 children of influenza B virus, and 1 child of norovirus.Among them, there were 21 children with acute necrotizing encephalopathy, 4 children with acute encephalopathy with biphasic seizures and late reduced diffusion, 2 children with mild encephalitis with a reversible splenial lesion, and 1 child with hemorrhagic shock and encephalopathy syndrome.Among the first symptoms, 24 children (85.7%) had consciousness disorders, 23 children (82.1%) had seizures, 17 children (60.7%) had speech disorders, 11 children (39.3%) had involuntary movements, and 10 children (35.7%) had abnormal mental behavior.For the site of lesion, the cranial nuclear magnetic resonance imaging revealed 17 in the thalamus, 10 in the brainstem, 9 in the basal ganglia, 8 in the cerebellar hemisphere, and 4 in the corpus callosum.In the last follow-up evaluation, 17 children had a mRS score of >2, and 11 children had a mRS score of ≤2.Univariate analysis showed that disturbance of consciousness, seizure cluster, brain stem lesion, absolute value of serum T lymphocytes, cerebrospinal fluid(CSF) protein, CSF cytokines [interleukin(IL)-1β, IL-6 and IL-8]were higher in the poor prognosis group than those in the good prognosis group.Multivariate Logistic regression analysis indicated that brain stem disease, CSF IL-1β and T lymphocyte absolute number were independent risk factors for poor prognosis.Conclusions:Brain stem lesions, cerebrospinal fluid IL-1β and the absolute number of T lymphocytes have predictive value for the prognosis of acute viral infection-associated encephalopathy.The more severe the conditions, the lower the T lymphocytes, and the higher the cytokines in some cerebrospinal fluid.

Objective To compare the synergies between the transcutaneous needle electrodes and the ETT surface electrodes used for neurological surveillance in thyroidology,and explore how to identify and protect recurrent laryngeal nerve and vagus nerve when the patient is not suitable for oral plug or surface electrodes are failure.Methods To collect and analyze the clinical data of 32 patients undergoing surgical treatment for thyroid disease,a total of 40 neurons of the recurrent laryngeal nerves and vagus nerves were monitored,and the amplitude and latency were recorded using ETT surface electrodes and transcutaneous needle electrodes for nerve monitoring,respectively.SPSS 26.0 software was used for statistical analysis,paired t-tests were used to analyze and compare the latency periods,and the rank sum test was used to analyze whether there is a difference in the amplitude obtained from stimulation of transcutaneous needle electrodes and ETT surface electrodes.Results When the transcutaneous needle electrodes were used in thyroid surgery,we identified all the nerves,obtained two-phase electrical signals similar to the latency and amplitude of the ETT surface electrodes,and could effectively identify the recurrent laryngeal nerve and vagus nerve[(3.22±0.50)ms vs.(3.85±1.00)ms,P＜0.05]through the incapacity period,with no obvious difference in the monitoring effect from the ETT surface electrodes[(3.04±0.58)ms vs.(3.89±1.07)ms,P＜0.05].At the same time,the visualization and safety of transcutaneous needle electrodes were higher,with great advantages.Conclusion Transcutaneous needle electrodes can effectively assist in identifying and protecting the recurrent laryngeal nerve and vagus nerve,and thus are an important supplement to ETT surface electrodes.

This paper systematically analyzed the ancient monographs of acupuncture and moxibustion and comprehensive medical books from pre-Qin to 1911， and extracted the data according to the etiology and pathogenesis， treatment principles and methods， acupoint selection， needling and moxibustion， and taboos of needling and moxibustion. The pathogenesis of migraine in ancient books and documents is summarized as "the causes are diverse， and phlegm-dampness is the majority". For treatment， the features include "needling has a sequence， and the root and the branch should be treated separately" and "focusing on tonifying deficiency and drain excess". It is also obtained of the rich ideas of acupoints selection， extensive application records of moxibustion， unique application of bloodletting therapy and clear explanation of acupuncture and moxibustion taboos. All mentioned above is expected to enrich the ideas and methods of modern migraine treatment and improve the clinical effects.

Non-small cell lung cancer (NSCLC) is one of the most common types of cancer in the world and is an important cause for cancer death. Although the application of immunotherapy in recent years has greatly improved the prognosis of NSCLC, there are still huge challenges in the treatment of NSCLC. The immune microenvironment plays an important role in the process of NSCLC development, infiltration and metastasis, and they can interact and influence each other, forming a vicious circle. Notably, single-cell RNA sequencing enables high-resolution analysis of individual cells and is of great value in revealing cell types, cell evolution trajectories, molecular mechanisms of cell differentiation, and intercellular regulation within the immune microenvironment. Single-cell RNA sequencing is expected to uncover more promising immunotherapies. This article reviews the important researches and latest achievements of single-cell RNA sequencing in the immune microenvironment of NSCLC, and aims to explore the significance of applying single-cell RNA sequencing to analyze the immune microenvironment of NSCLC.