Objective： To systematically evaluate the clinical efficacy and safety of Tonifying kidney and activating blood therapy for the treatment of diabetic mellitus erectile dysfunction. Methods： China National Knowledge Infrastructure(CNKI), Wanfang Data, VIP, Chinese Biomedical Database(CBM), PubMed, Cochrane Library, Embase and Web of Science were searched from inception until October 20th of 2024，for randomized controlled trials of Tonifying kidney and activating blood therapy for the treatment of diabetic erectile dysfunction. Literature screening, quality evaluation, and data extraction were carried out in accordance with relevant standards. The software of RevMan5.4 was used for the analysis of publication bias. And meta-analysis was conducted to assess the impact of this therapy on IIEF-5, total effective rate, adverse reactions. The evidence levels according to the analysis results were evaluated. Results: Totally 19 RCTs were included, involving 1 612 patients. The result of meta-analysis indicated that Tonifying kidney and activating blood therapy had advantages on the improvement of IIEF-5 scores (MD=3.59，95%CI［2.14，5.03］，P<0.01)，total effective rate (OR=4.30，95%CI［3.29，5.32］，P<0.000 01）. However, there was no statistically significant difference in the incidence of adverse reactions(OR=0.98，95%CI［0.48，2.01］，P=0.96) between the two groups. Conclusions： Tonifying kidney and activating blood therapy can improve the clinical efficacy and IIEF-5 score for the patients with diabetic erectile dysfunction. But considering the limited quantity of included studies, more high-quality studies still be needed to validate the therapeutic effect.
Humans ; Male ; Erectile Dysfunction/therapy* ; Randomized Controlled Trials as Topic ; Kidney ; Medicine, Chinese Traditional ; Diabetes Complications/therapy*

BACKGROUND: The atherogenic index of plasma (AIP) has been shown to be positively correlated with cardiovascular disease in previous studies. However, it is unclear whether elderly people with long-term high AIP levels are more likely to develop coronary heart disease (CHD). Therefore, the aim of this study was to investigate the relationship between AIP trajectory and CHD incidence in elderly people. METHODS: 19,194 participants aged ≥ 60 years who had three AIP measurements between 2018 and 2020 were included in this study. AIP was defined as log₁₀ (triglyceride/high-density lipoprotein cholesterol). The group-based trajectory model was used to identify different trajectory patterns of AIP from 2018 to 2020. Cox proportional hazards models were used to estimate the hazard ratio (HR) with 95% CI of CHD events between different trajectory groups from 2020 to 2023. RESULTS: Three different trajectory patterns were identified through group-based trajectory model: the low-level group (n = 7410, mean AIP: -0.25 to -0.17), the medium-level group (n = 9981, mean AIP: 0.02-0.08), and the high-level group (n = 1803, mean AIP: 0.38-0.42). During a mean follow-up of 2.65 years, a total of 1391 participants developed CHD. After adjusting for potential confounders, compared with the participants in the low-level group, the HR with 95% CI of the medium-level group and the high-level group were estimated to be 1.24 (1.10-1.40) and 1.43 (1.19-1.73), respectively. These findings remained consistent in subgroup analyses and sensitivity analyses. CONCLUSIONS There was a significant correlation between persistent high AIP level and increased CHD risk in the elderly. This suggests that monitoring the long-term changes in AIP is helpful to identify individuals at high CHD risk in elderly people.

OBJECTIVE: To determine the prevalence of lumbar spondylolysis (LS) and the proportion of spondylolytic spondylolisthesis (SS) in China, and to evaluate the musculoskeletal status of patients with LS and SS. METHODS: Spine Computed Tomography (CT) images were collected from community populations aged 40 and above in a nationwide multi-center project. LS was diagnosed, and SS was graded by an experienced radiologist. Bone mineral density (BMD) and paraspinal muscle parameters were quantified based on CT images. RESULTS: One hundred and seventeen patients of a total of 3,317 individuals were diagnosed with LS, corresponding to a prevalence rate of 3.53%. 63 of the 1,214 males (5.18%) and 54 of the 2,103 females (2.57%) were diagnosed with LS. SS occurred in 64/121 vertebrae (52.89%). BMD was not associated with LS ( P = 0.341). The L5 extensor paraspinal muscle density was higher in the LS group than in the non-LS group. In the LS group, patients with SS had a smaller L5 paraspinal extensor muscle cross-sectional area than those without SS ( P = 0.003). CONCLUSION The prevalence of LS in Chinese adults was 3.53%, with prevalence rates of 5.18% in males and 2.57% in females. Patients with LS have higher muscle density, whereas those with SS have smaller muscle cross-sectional areas at the L5 level.
Humans ; Male ; Female ; Middle Aged ; China/epidemiology* ; Prevalence ; Adult ; Lumbar Vertebrae/diagnostic imaging* ; Spondylolysis/diagnostic imaging* ; Aged ; Bone Density ; Tomography, X-Ray Computed ; Aged, 80 and over ; Spondylolisthesis/epidemiology* ; East Asian People

Objective To explore the biomarkers and potential mechanisms of chronic restraint stress-induced myocardial injury in hyperlipidemia ApoE-/-mice.Methods The hyperlipidemia combined with the chronic stress model was established by restraining the ApoE-/-mice.Proteomics and bioinformatics techniques were used to describe the characteristic molecular changes and related regulatory mechanisms of chronic stress-induced myocardial injury in hyperlipidemia mice and to explore potential diagnostic biomarkers.Results Proteomic analysis showed that there were 43 significantly up-regulated and 58 sig-nificantly down-regulated differentially expressed proteins in hyperlipidemia combined with the restraint stress group compared with the hyperlipidemia group.Among them,GBP2,TAOK3,TFR1 and UCP1 were biomarkers with great diagnostic potential.KEGG pathway enrichment analysis indicated that fer-roptosis was a significant pathway that accelerated the myocardial injury in hyperlipidemia combined with restraint stress-induced model.The mmu_circ_0001567/miR-7a/Tfr-1 and mmu_circ_0001042/miR-7a/Tfr-1 might be important circRNA-miRNA-mRNA regulatory networks related to ferroptosis in this model.Conclusion Chronic restraint stress may aggravate myocardial injury in hyperlipidemia mice via ferrop-tosis.Four potential biomarkers are selected for myocardial injury diagnosis,providing a new direction for sudden cardiac death(SCD)caused by hyperlipidemia combined with the restraint stress.

ObjectiveDetection and quantification of RNA synthesis in cells is a widely used technique for monitoring cell viability, health, and metabolic rate.After exposure to environmental stimuli, both the internal reference gene and target gene would be degraded. As a result, it is imperative to consider the accurate capture of nascent RNA and the detection of transcriptional levels of RNA following environmental stimulation. This study aims to create a Click Chemistry method that utilizes its property to capture nascent RNA from total RNA that was stimulated by the environment. MethodsThe new RNA was labeled with 5-ethyluridine (5-EU) instead of uracil, and the azido-biotin medium ligand was connected to the magnetic sphere using a combination of “Click Chemistry” and magnetic bead screening. Then the new RNA was captured and the transcription rate of 16S rRNA was detected by fluorescence molecular beacon (M.B.) and quantitative reverse transcription PCR (qRT-PCR). ResultsThe bacterial nascent RNA captured by “Click Chemistry” screening can be used as a reverse transcription template to form cDNA. Combined with the fluorescent molecular beacon M.B.1, the synthesis rate of rRNA at 37℃ is 1.2 times higher than that at 15℃. The 16S rRNA gene and cspI gene can be detected by fluorescent quantitative PCR,it was found that the measured relative gene expression changes were significantly enhanced at 25℃ and 16℃ when analyzed with nascent RNA rather than total RNA, enabling accurate detection of RNA transcription rates. ConclusionCompared to other article reported experimental methods that utilize screening magnetic columns, the technical scheme employed in this study is more suitable for bacteria, and the operation steps are simple and easy to implement, making it an effective RNA capture method for researchers.

In recent years,the prevalence of carbapenem-resistant Klebsiella pneumoniae(CRKP)infection has become a global public health issue.Ceftazidime/avibactam(CAZ/AVI)has been approved as a novel antimicrobial agent for the treatment of healthcare-associated pneumonia/ventilator-associated pneumonia,bloodstream infection,infection after kidney transplantation,and severe infection combined with liver cirrhosis.However,the use of CAZ/AVI has also led to the emergence of drug-resistant strains.The major mechanisms of drug-resistance include over-expression of blaKPC gene,mutation of β-lactamase and amino acids at key sites,changes in cell permeability caused by loss of membrane porin,and over-expression of efflux pump.This article reviews the research progress of CAZ/AVI in the treatment of CRKP infection,providing reference for clinical diagnosis and treatment.

In recent years, with the increasing societal focus on drug quality and safety, quality issues have become a major challenge faced by the pharmaceutical industry, directly impacting consumer health and market trust. By combining multispectral imaging technology with machine learning, it is possible to achieve rapid, non-destructive, and precise detection of traditional Chinese medicine(TCM) preparations, thereby revolutionizing traditional detection methods and developing more convenient and automated solutions. This paper provides a comprehensive review of the current applications of rapid, non-destructive detection techniques based on machine learning algorithms in the field of TCM preparations. It analyzed the principles and advantages of commonly used rapid, non-destructive detection techniques, offering a reference for the application and promotion of these technologies in TCM preparation detection. Additionally, this paper explored various data preprocessing techniques, operational processes, and machine learning algorithms to enhance data utilization efficiency. Finally, it focused on the challenges of applying machine learning in TCM preparation detection and offered corresponding recommendations, providing guidance for the future integration of machine learning with rapid, non-destructive detection techniques in practical production.
Machine Learning ; Drugs, Chinese Herbal/analysis* ; Medicine, Chinese Traditional/methods* ; Humans ; Quality Control

Objective To observe the clinical efficacy of acupuncture in the treating patients with sleep disorder in ankylosing spondylitis.Methods A total of 60 patients with sleep disorder in ankylosing spondylitis were randomly divided into observation group and control group,30 cases in each group.The control group was given oral administration of Liuzosulfapyridine Enteric-coated Tablets and Celecoxib Capsules,and the observation group was given acupuncture for treatment on the basis of the control group for four consecutive weeks.After one month of treatment,the clinical efficacy of the two groups was evaluated,and the changes in the Pittsburgh Sleep Quality Index(PSQI)and Hospital Anxiety and Depression Scale(HADS)scores,as well as the Bath Ankylosing Spondylitis Disease Activity Index(BASDAI)and Bath Ankylosing Spondylitis Functional Index(BASFI)were observed in the patients of the two groups before and after treatment.The changes in C-reactive protein(CRP)levels between the two groups of patients before and after treatment were compared.And the safety and the occurrence of adverse reactions in the two groups were evaluated.Results(1)After treatment,the PSQI and BASDAI scores of patients in the two groups were improved significantly(P＜0.05),and the improvement in the observation group was significantly superior to that in the control group,and the difference was statistically significant(P＜0.05).(2)After treatment,the HADS(A)and HADS(D)scores of patients in the two groups were improved significantly(P＜0.05),and the improvement in the observation group was slightly superior to that in the control group,but the difference was not statistically significant(P＞0.05).(3)After treatment,the BASFI scores of patients in the two groups were slightly improved,but the difference was not statistically significant(P＞0.05).(4)After treatment,the CRP levels of patients in the two groups were improved significantly(P＜0.05),and the improvement in the observation group was significantly superior to that in the control group,and the difference was statistically significant(P＜0.05).(5)The total effective rate was 83.33%(25/30)in the observation group and 60.00%(18/30)in the control group.The efficacy of the observation group was superior to that of the control group,and the difference was statistically significant(P＜0.05).(6)Comparison of the incidence of adverse reactions between the observation group and the control group,the difference was not statistically significant(P＞0.05).Conclusion Acupuncture in treating sleep disorders in ankylosing spondylitis can effectively improve patients'sleep quality,disease activity and inflammation indexes,and improve patients'clinical symptoms,and it is safe and feasible,without obvious adverse reactions,and the efficacy is remarkable.

Objective The aim of the study is to establish an automatic method for the recognition of common midges based on artificial intelligence technology.Methods Wing images of three species of midges from Zhuhai port,including Culicoides oxystoma,C.peregrinus,and Lasiohelea taiwanai were subjected to develop a reliable automatic recognition method based on a deep learning method.The VGG convolutional neural network model based on the PaddlePaddle framework and the BP neural network model based on Matlab software with manual design features were involved for image recognition.Results Automatic recognition based on VGG model and BP model were established with the prediction accuracy of the test set in the VGG model and BP model was 100.0%and 94.7%,respectively,with no significant difference(P>0.05).Conclusions The artificial intelligence technology can achieve reliable species recognition based on image recognition of midge wings.

Objective: To explore the prognostic factors of extracellular NK/T cell lymphoma (ENKTL) treated with pegaspargase/L-asparaginase. Methods: The clinical data of 656 ENKTL patients diagnosed at 11 medical centers in the Huaihai Lymphoma Working Group from March 2014 to April 2021 were retrospectively analyzed. The patients were randomly divided into two groups: a training set (460 cases) and a validation set (196 cases) at 7∶3, and the prognostic factors of the patients were analyzed. A prognostic scoring system was established, and the predictive performance of different models was compared. Results: Patients' median age was 46 (34, 57) years, with 456 males (69.5% ) and 561 nasal involvement (85.5% ). 203 patients (30.9% ) received a chemotherapy regimen based on L-asparaginase combined with anthracyclines, and the 5-year overall survival rate of patients treated with P-GEMOX regimen (pegaspargase+gemcitabine+oxaliplatin) was better than those treated with SMILE regimen (methotrexate+dexamethasone+cyclophosphamide+L-asparaginase+etoposide) (85.9% vs 63.8% ; P=0.004). The results of multivariate analysis showed that gender, CA stage, the Eastern Cooperative Oncology Group performance status (ECOG PS) score, HGB, and EB virus DNA were independent influencing factors for the prognosis of ENKTL patients (P<0.05). In this study, the predictive performance of the prognostic factors is superior to the international prognostic index, Korean prognostic index, and prognostic index of natural killer lymphoma. Conclusion: Gender, CA stage, ECOG PS score, HGB, and EB virus DNA are prognostic factors for ENKTL patients treated with pegaspargase/L-asparaginase.
Male ; Humans ; Middle Aged ; Asparaginase/therapeutic use* ; Prognosis ; Retrospective Studies ; Lymphoma, Extranodal NK-T-Cell/drug therapy* ; Antineoplastic Combined Chemotherapy Protocols/therapeutic use* ; Etoposide ; Cyclophosphamide ; Methotrexate/therapeutic use* ; DNA/therapeutic use* ; Treatment Outcome