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.

As the pace of society increases and lifestyles change， the incidence and mortality rates of breast cancer continue to rise. Targeted therapies are now promising in the treatment of breast cancer， and a variety of protein targets have been identified to play an important role in the development of breast cancer. Among them， signal transducer and activator of transcription （STAT） proteins constitute a crucial group that serves as important targets for transducing cellular transcriptional information， which can regulate downstream cell proliferation， apoptosis， cell migration， invasion， angiogenic factors， etc. and then affect the progression of breast cancer. The STAT family is closely associated with the inflammatory response to tumors and plays a landmark role in tumor development as well as in diagnosis and prognosis. The "inflammation-cancer" transformation refers to the process in which the inflammatory microenvironment caused by uncontrolled inflammation promotes normal cells to become cancerous. According to the theory of Chinese medicine， "heat toxicity" in "cancer toxicity" corresponds to inflammation， which is closely related to tumor development. As a major link associated with the inflammatory response， the STAT family has a promising role in the development and treatment of a variety of tumors， but its relevance to breast cancer remains inadequately explored. Chinese medicine has been shown to have good efficacy in the prevention and treatment of breast cancer， and some current studies have shown that the active ingredients and compounds of Chinese medicine have certain intervention effects on breast cancer-related STAT proteins， but there has not been a systematic review. In order to better sort out and summarize the studies on the effects of Chinese herbal medicines based on the STAT family interventions in breast cancer， this paper reviewed the studies on Chinese herbal medicines acting on the STAT family in recent years， aiming to provide new ideas for clinical applications in breast cancer and to provide thoughts for the development of STAT protein-based drugs.

Objective:To explore the clinical and electrophysiological characteristics of peripheral neuropathy in prediabetic patients.Methods:Subjects aged 20-65 years with high-risk factors of impaired glycemia enrolled in Beijing Tiantan Hospital, Capital Medical University from 2019 to 2022 were recruited to conduct oral glucose tolerance test, after excluding other causes of neuropathy or radiculopathy. Patients with impaired fasting glucose or impaired glucose tolerance were defined by American Diabetes Association criteria. These patients were divided into clinical polyneuropathy (PN) and clinical non-PN groups, according to the 2010 Toronto consensus criteria and the presence of PN symptoms and signs or not. Nerve conduction studies (NCS), F wave, sympathetic skin response (SSR), R-R interval variation (RRIV) and current perception thresholds (CPT) were performed and the abnormal rate was compared between different electrodiagnostic methods and between clinical subgroups.Results:Among the 73 prediabetic patients ultimately enrolled, only 20 (27.4%) can be diagnosed as clinical PN according to the Toronto consensus criteria. The abnormal rate of CPT (68.5%, 50/73) was significantly higher than those of F wave (2.7%, 2/73), lower limb NCS (0, 0/73), upper limb NCS changes of carpal tunnel syndrome (26.0%, 19/73), SSR (6.8%, 5/73) and RRIV (5.5%, 4/73; McNemar test, all P<0.001). With sinusoid-waveform current stimuli at frequencies of 2 000 Hz, 250 Hz and 5 Hz, the CPT device was used to measure cutaneous sensory thresholds of large myelinated, small myelinated and small unmyelinated sensory fibers respectively. CPT revealed a 21.9% (16/73) abnormal rate of unmyelinated C fiber in the hands of prediabetic patients, significantly higher than that of large myelinated Aβ fibers [8.2% (6/73), χ2=5.352, P=0.021]. Both abnormal rates of small myelinated Aδ [42.5% (31/73)] and unmyelinated C fibers [39.7% (29/73)] in the feet of prediabetic patients were significantly higher than that of large myelinated Aβ fibers [11.0% (8/73), χ2=18.508, 15.965, both P<0.001]. Compared with the clinical non-PN group, the abnormal rates of CPT [90.0% (18/20) vs 60.4% (32/53), χ2=5.904, P=0.015] and SSR [20.0% (4/20) vs 1.9% (1/53), P=0.016) were significantly higher in the clinical PN group. Conclusions:Peripheral neuropathies in prediabetic patients are usually asymptomatic or subclinical, and predispose to affect unmyelinated and small myelinated sensory fibers. Selective electrodiagnostic measurements of small fibers help to detect prediabetic neuropathies in the earliest stages of the disease.

Purpose To construct the model of differentiating primary central nervous system lymphoma(PCNSL)and atypical glioblastoma(GBM)by combining multi-parameter MRI radiomics and six machine learning algorithms,thus to compare the diagnostic efficacy of different machine learning algorithms.Materials and Methods The clinical and imaging data of 77(125 lesions)PCNSL and 90 atypical GBM(108 lesions)from PLA General Hospital and public databases were retrospectively analyzed from January 2013 to December 2023,and all patients were randomly divided into a training set(163 cases)and a validation set(70 cases)according to 7∶3.T1WI,T2WI and T1-weighted contrast-enhanced sequences were selected for tumor segmentation,and 1 132 radiomics features were extracted from each region of interest.The intraclass correlation coefficient(ICC)was used for the consistency test,and image features with ICC≥0.85 were selected.ICC and recursive feature elimination were used to select the best radiomics features.Six classifiers were used to train and verify three single sequence feature sets,three double-sequence sets and one multi-sequence set.The receiver operating characteristic curve was used to evaluate the diagnostic efficacy of the model.Results The combination model of the support vector machine of radial basis function classifier and multi-sequence feature set were the best model for differentiating PCNSL and atypical GBM.The area under the curve of the training set and the validation set were 0.969 and 0.913,respectively;and the accuracy were both 0.886.Conclusion Noninvasive extraction of multiparametric MRI features combined with machine learning algorithms can effectively differentiate PCNSL and atypical GBM,which provides support for the development of individualized treatment plans for patients.

Objective To evaluate the clinical efficacy of Ningxin decoction in treating patients with permanent atrial fibrillation(AF)of deficiency of both qi and yin type infected by coronavirus disease 2019(COVID-19).Methods From February to August 2023,120 patients with permanent AF of deficiency of both qi and yin type infected by COVID-19 were collected from the outpatient clinic of Guang'anmen Hospital South Campus,China Academy of Chinese Medical Sciences.Patients were randomly divided into a control group and a treatment group using a random number table method,there were 60 cases in each group,and 1 case fell off in each group,leaving 59 cases in each group.The treatment group was given Ningxin decoction(drug composition:Cassia branch 15 g,Cornus officinalis 15 g,Rehmannia 15 g,Rhodiola rosea 15 g,Ginseng 6 g,Mulberry parasitica 10 g,Coptis coptis 3 g,Salvia miltiorrhiza 12 g,Ligusticum chuanxiong 10 g,Ophiopogon 12 g,and schisandra Vinegar 6 g)using formula granules to rinse with water,twice a day.The control group was given 10 mg of coenzyme Q10 twice a day,and both groups were treated continuously for 4 weeks.The improvements in traditional Chinese medicine(TCM)symptoms,including chest pain,dizziness,fatigue,lethargy,palpitations,chest tightness and shortness of breath,insomnia,and excessive dreams before and after treatment in two groups,as well as changes in heart rate variability(HRV)and heart rate deceleration indicators were observed.Results The treatment group showed significant therapeutic effects in improving chest pain,fatigue,palpitations,chest tightness and shortness of breath,there were also improvements in lethargy,insomnia,and excessive dreaming,there was no significant therapeutic effect in improving dizziness.The control group showed significant therapeutic effects in improving palpitations,there were also improvements in chest pain,chest tightness and shortness of breath,while there was no significant therapeutic effect in other aspects.The treatment group showed significantly higher effective rates in improving chest pain,fatigue,lethargy,chest tightness and shortness of breath,insomnia,and excessive dreaming compared to the control group[chest pain:95.45%(42/44)vs.78.57%(33/42),fatigue:83.67%(41/49)vs.31.25%(15/48),lethargy:73.91%(34/46)vs.12.77%(6/47),chest tightness and shortness of breath:88.89%(48/54)vs.63.64%(35/55),insomnia:78.43%(40/51)vs.12.24%(6/49),excessive dreaming:76.09%(35/46)vs.43.75%(21/48),all P<0.05].The standard deviation of all normal to normal RR intervals(SDNN),root mean square of the difference between adjacent NN intervals(RMSSD),standard deviation of all 5-minute RR intervals(SDANN),and percent of NN50 in the total number of NN intervals(PNN50)in both groups after treatment were significantly increased compared to before treatment,and the RMSSD,SDANN,and PNN50 in the treatment group were significantly higher than those in the control group after treatment[RMSSD(ms):28.96±3.59 vs.24.34±2.66,SDANN(ms):108.55±11.80 vs.100.44±13.58,PNN50:7%(6%,7%)vs.5%(5%,6%),all P<0.05].There was no statistically significant difference in heart rate deceleration between the two groups before and after treatment.Conclusion Ningxin decoction has a good effect on the improvement of TCM syndromes and heart rate variability in patients with permanent atrial fibrillation of deficiency of both qi and yin type after being infected by COVID-19.

Traumatic supraorbital fissure syndrome (TSOFS) is a symptom complex caused by nerve entrapment in the supraorbital fissure after skull base trauma. If the compressed cranial nerve in the supraorbital fissure is not decompressed surgically, ptosis, diplopia and eye movement disorder may exist for a long time and seriously affect the patients′ quality of life. Since its overall incidence is not high, it is not familiarized with the majority of neurosurgeons and some TSOFS may be complicated with skull base vascular injury. If the supraorbital fissure surgery is performed without treatment of vascular injury, it may cause massive hemorrhage, and disability and even life-threatening in severe cases. At present, there is no consensus or guideline on the diagnosis and treatment of TSOFS that can be referred to both domestically and internationally. To improve the understanding of TSOFS among clinical physicians and establish standardized diagnosis and treatment plans, the Skull Base Trauma Group of the Neurorepair Professional Committee of the Chinese Medical Doctor Association, Neurotrauma Group of the Neurosurgery Branch of the Chinese Medical Association, Neurotrauma Group of the Traumatology Branch of the Chinese Medical Association, and Editorial Committee of Chinese Journal of Trauma organized relevant experts to formulate Chinese expert consensus on the diagnosis and treatment of traumatic supraorbital fissure syndrome ( version 2024) based on evidence of evidence-based medicine and clinical experience of diagnosis and treatment. This consensus puts forward 12 recommendations on the diagnosis, classification, treatment, efficacy evaluation and follow-up of TSOFS, aiming to provide references for neurosurgeons from hospitals of all levels to standardize the diagnosis and treatment of TSOFS.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

Hepatocellular carcinoma (HCC) is characterized by high postoperative recurrence and mortality rates. In recent years, researchers have identified a significant correlation between microvascular invasion (MVI) and early postoperative recurrence and metastasis of HCC, making it a focal point of HCC research. Accurate preoperative prediction of MVI occurrence and the implementation of relevant interventions (such as expanded resection) could provide substantial benefits to patients. This study analyzes global research over the past decade on MVI predictive indicators based on tumor biological characteristics, genetic measurements, imaging examinations, and tumor markers. The aim is to use these predictive indicators to objectively forecast the occurrence of MVI, thereby aiding in preoperative individual assessments and enhancing treatment plans.

Objective: To understand the influence of meteorological factors on the morbidity of influenza in northern cities of China and explore the differences in the influence of meteorological factors on the morbidity of influenza in 15 cities. Methods: The monthly reported morbidity of influenza and monthly meteorological data from 2008 to 2020 were collected in 15 provincial capital cities, including Xi 'an, Lanzhou, Xining, Yinchuan and Urumqi (5 northwestern cities), Beijing, Tianjin, Shijiazhuang, Taiyuan, Hohhot, Ji'nan, Zhengzhou (7 northern cities), Shenyang, Changchun and Harbin (3 northeastern cities). The panel data regression model was applied to conduct quantitative analyze on the influence of meteorological factors on influenza morbidity. Results: The univariate and multivariate panel regression analysis showed that after controlling the population density and other meteorological factors, for each 5 ℃ drop of monthly average temperature, the morbidity change percentage (MCP) of influenza was 11.35%, 34.04% and 25.04% in the 3 northeastern cities, 7 northern cities and 5 northwestern cities, respectively, and the best lag period months was 1, 0 and 1 month; When the monthly average relative humidity decreased by 10%, the MCP was 15.84% in 3 cities in northeastern China and 14.80% in 7 cities in northern China respectively, and the best lag period months was 2 and 1 months respectively; The MCP of 5 cities in northwestern China was 4.50% for each 10 mm reduction of monthly accumulated precipitation, and the best lag period months was 1 month; The MCPs of 3 cities in northeastern China and 5 cities in northwestern China were 4.19% and 5.97% respectively when the accumulated sunshine duration of each month decreased by 10 hours, the best lag period months was 1 month. Conclusions: In northern cities of China from 2008 to 2020, the temperature, relative humidity, precipitation and sunshine duration all had negatively impact on the morbidity of influenza, and temperature and relative humidity were the main sensitive meteorological factors. Temperature had a strong direct impact on the morbidity of influenza in 7 cities in northern China, and relative humidity had a strong lag effect on the morbidity of influenza in 3 cities in northeastern China. The duration of sunshine in 5 cities in northwestern China had a greater impact on the morbidity of influenza compared with 3 cities in northeastern China.
Humans ; Cities ; Influenza, Human ; China ; Beijing ; Meteorological Concepts

Objective: To explore the feasibility of moving epidemic method (MEM) in the assessment of seasonal influenza (influenza) activity intensity from the perspective of urban agglomeration, assess influenza activity intensity in the Beijing-Tianjin-Hebei region from 2019 to 2021 and evaluate the reliability of surveillance data and the effectiveness of the MEM model application. Methods: The weekly reported incidence rate (IR) of influenza and the percentage of influenza-like illness (ILI%) from 2011-2021 in Beijing-Tianjin-Hebei region were collected to establish MEM models respectively. The model fitting effect and the reliability of the two data were evaluated for the purpose of establishing an optimal model to assess the influenza activity intensity in Beijing-Tianjin-Hebei region from 2019-2021. A cross-validation procedure was used to evaluate the performance of the models by calculating the Youden's index, sensitivity and specificity. Results: The MEM model fitted with weekly ILI% had a higher Youden's index compared with the model fitted with weekly IR at both Beijing-Tianjin-Hebei region level and provincial level. The MEM model based on ILI% showed that the epidemic threshold in Beijing-Tianjin-Hebei region during 2019-2020 was 4.42%, the post-epidemic threshold was 4.66%, with medium, high and very high intensity thresholds as 5.38%, 7.22% and 7.84%, respectively. The influenza season during 2019-2020 had 10 weeks (week 50 of 2019 to week 7 of 2020). The influenza season started in week 50 of 2019, and the intensity fluctuated above and below medium epidemic level for six consecutive weeks. The high intensity was observed in week 4 of 2020, the threshold of very high intensity was excessed in week 5, and the intensity gradually declined and became lower than the threshold at the end of the influenza season in week 8. The epidemic threshold was 4.29% and the post-epidemic threshold was 4.35% during 2020-2021. Influenza activity level never excessed the epidemic threshold throughout the year, and no epidemic period emerged. Conclusions: The MEM model could be applied in the assessment of influenza activity intensity in Beijing-Tianjin-Hebei region, and the use of ILI% to assess influenza activity intensity in this region was more reliable than IR data. Influenza activity intensity in Beijing-Tianjin-Hebei region was higher during 2019-2020 but significantly lower in 2020-2021.
Humans ; Beijing/epidemiology* ; Influenza, Human/epidemiology* ; Seasons ; Reproducibility of Results ; Epidemics ; China/epidemiology*