BACKGROUND:Diabetic ulcers are a common complication of diabetes mellitus,which is manifested as foot ulcers complicated with infection,long treatment cycle,high disability rate and mortality rate,and brings a heavy burden to patients and social care. OBJECTIVE:To review the mechanism of action and the latest treatment progress of traditional Chinese medicine(TCM)in the treatment of diabetic ulcers,and to provide a basis for further theoretical research and clinical application. METHODS:CNKI,WanFang Database and PubMed database were searched for relevant literature using the keywords of"diabetic ulcer,medicinal herb,inflammation,interleukin-1β,interleukin-6,tumor necrosis factor,hypersensitive C-reactive protein,γ-interferon,interleukin-4,interleukin-10"in Chinese and English,respectively.The relevant literature in recent years was searched,and finally 75 articles were included for review. RESULTS AND CONCLUSION:The high glucose environment of the body will increase the level of pro-inflammatory cytokines,so that diabetic ulcer wounds are in a state of chronic inflammatory response for a long time,and difficult to heal or even not heal.TCM has summed up a lot of experience in the long-term struggle with diabetic ulcer.At present,TCM divides diabetic ulcers into four syndrome types:dampness and heat poison syndrome,blood and blood stasis obstruction pattern,heat poison injury Yin pattern,and Qi and blood deficiency syndrome,as well as representative prescriptions for treatment.According to their clinical characteristics,diabetic ulcers can be also divided into three stages:primary,middle and late stages.Different treatment methods are proposed:"clear method,""warm and clear combined use"and"maintenance method."Under the guidance of dialectical typing and staging of TCM,TCM monomers,extracts and compounds inhibit the inflammatory response and promote the healing of diabetic ulcers by down-regulating the expression of pro-inflammatory factors and/or up-regulating the expression of anti-inflammatory factors.Compared with modern medicine,TCM has significant advantages in the treatment of diabetic ulcers.There are many TCM monomers,extracts and compounds for the treatment of diabetic ulcers,such as angelica,curcumin,improved Chonghe ointment,Sanhuang blood exhaustion prescription and sore-ulcer I.formula,etc.It has been found that TCM for the treatment of diabetic ulcers is mainly heat-clearing and detoxifying,invigorating blood circulation and removing blood stasis,and amassing sores and muscle-building drugs,and the frequency of use,treatment scope and therapeutic effect of TCM compounds are obviously better than those of TCM monomers and extracts.Among them,the most commonly used are the Sanhuang blood exhaustion prescription and the sore-ulcer I as well as prescription for the treatment of damp heat toxicity syndrome and Zizhu ointment for the treatment of non-ischemic diabetic ulcers.However,there are also some shortcomings in the treatment of diabetic ulcers with TCM.First,there are few clinical syndrome studies on diabetic ulcers.Secondly,there are a wide variety of TCM monomers,extracts and compounds for the treatment of diabetic ulcers,and the relevant research is insufficiently in-depth.Finally,the research on the mechanism underlying TCM treatment of diabetic ulcers is still in the preliminary exploration stage,and the mechanism of action still needs to be further explored.In the future,it is necessary to strengthen the research on the pharmacology of TCM and the clinical syndrome of diabetic ulcers,analyze the potential targets and related signaling pathways of TCM in the treatment of diabetic ulcers,give full play to the therapeutic advantages of TCM with multiple targets,multiple pathways,multiple levels and multiple systems,and develop TCM with significant efficacy,active ingredients and clear targets.

Objective Liver cancer is the second leading cause of tumor-related death.The efficacy of local thermal ablation is comparable to surgical resection for the early hepatocellular carcinoma(HCC),and the ablation technique is minimally invasive,repeatable,and has a low complication rate.However,early recurrence((2 years)is the main cause of death after HCC ablation,but there is still a lack of accurate and reliable prediction models for early recurrence.Therefore,this survey intended to construct prediction models for early recurrence of HCC after ablation by using preoperative gadoxetic acid disodium-enhanced magnetic resonance(MR)images data combined with radiomics methods,evaluate and verify their predictive efficacy.To explore the application value of contrast-enhanced MRI imaging before ablation in the prognosis assessment of HCC patients,and to provide reliable data and theoretical basis for clinical treatment decisions.Methods A retrospective study was performed on 120 patients with HCC who underwent ablation and all the patients were underwent contrast-enhanced MRI examination within 1 month.A total of 1318 radiomic features were extracted from each patient by using preoperative T2-weighted sequence(T2WI)images of contrast-enhanced MRI.After feature selection,six machine learning algorithms would be used for construction of models and comparison.Finally,Logistic regression analysis was used to establish a clinical model,a radiomics model and a combined model which included the above risk factors and radiologic features.The nomogram was constructed based the combined model to evaluate the differentiation,accuracy and clinical benefit.Results Five radiomic features most closely related to early recurrence were identified and selected for model construction.The radiomic model had effective predictive performance,with AUC of 0.80 in the training sets.Two clinical risk factors associated with early recurrence,including tumor number and peritumoral hypodensity on the hepatobiliary phase,were selected to established a clinical-radiological-radiomics(CRRM)model,with AUC as high as 0.92 in the validation sets.The nomogram of CRRM model was constructed and the calibration curves indicated the goodness of fit.Decision curve analysis further confirmed the clinical usefulness of CRRM model.Conclusion The radiomics model of preoperatively contrast-enhanced MRI-T2WI image features was identified be effective to predict HCC early recurrence.In contrast,the CRRM model could be used as a more comprehensive and superior tool to predict individual probability of early recurrence.Patients at high risk of early recurrence could be identified and the appropriate and effective preoperative treatments could also be taken,to improve the prognosis and long-term survival rate of HCC patients the individualized treatment strategies should be formulated.

Objective To identify stable reference genes for a comparison of the transcription levels of target host genes under viral infection in order to provide data for studies on interactions between the host and the influenza virus.Methods Reverse transcription quantitative real-time PCR(RT-qPCR)was performed to detect the relative expression levels of six candidate reference genes,including glyceraldehyde 3-phosphate dehydrogenase(GAPDH),β-actin,18S RNA,β2-microglobulin(B2M),ubiquitin-conjugating enzyme E2D2(UBE2D2),and ribosomal protein L37A(RPL37A)in classical cell models(A549 cells and THP-1 cells)under different conditions.The stability of the reference genes was evaluated using such methods as BestKeeper,GeNorm,NormFinder,and comparative A Ct method.Results The stability of reference genes varied depending on conditions.When such experimental factors as influenza virus infection and immune activation were taken into consideration,β-actin and GAPDH were identified as the most stable reference genes in A549 cells and THP-1 cells,followed by UBE2D2 and B2M.Conclusion The optimal reference genes in A549 cells and THP-1 cells under influenza virus infection or after being treated with interferons or LPS have been identified,which is of referential value for studying the mechanisms of viral infections.

The call of the times to"promote education informatization towards a new journey"has posed new challenges to edu-cation,and the education industry should be committed to modernizing education through education informatization.In recent years,online teaching has become the norm.In this context,our teaching team introduced short video teaching into teaching innovation to spread Animal Immunology knowledge.Animation and ideological and political elements were integrated into each video,making knowledge points from"abstract"to"concrete",which stimulated students'interest in learning and cultivate the quality of rigorous scholarship and moral cultivation.The short video comment area has become a medium for interaction between teachers and students.The real-time feedback of the data platform provides a reference for the optimization and design of teaching content.The short video teaching practice effectively solves the"pain points"in traditional teaching and makes the obscure animal immunology knowledge more understandable.Students have increased their interest in learning,using fragmented time to actively acquire knowledge,achieving the effect of improving the teaching quality of animal immunology through online teaching resources.

During coronavirus disease 2019 epidemic, the treatment of severe trauma has been impacted. The Consensus on emergency surgery and infection prevention and control for severe trauma patients with 2019 novel corona virus pneumonia was published online on February 12, 2020, providing a strong guidance for the emergency treatment of severe trauma and the self-protection of medical staffs in the early stage of the epidemic. With the Joint Prevention and Control Mechanism of the State Council renaming "novel coronavirus pneumonia" to "novel coronavirus infection" and the infection being managed with measures against class B infectious diseases since January 8, 2023, the consensus published in 2020 is no longer applicable to the emergency treatment of severe trauma in the new stage of epidemic prevention and control. In this context, led by the Chinese Traumatology Association, Chinese Trauma Surgeon Association, Trauma Medicine Branch of Chinese International Exchange and Promotive Association for Medical and Health Care, and Editorial Board of Chinese Journal of Traumatology, the Chinese expert consensus on emergency surgery for severe trauma and infection prevention during coronavirus disease 2019 epidemic ( version 2023) is formulated to ensure the effectiveness and safety in the treatment of severe trauma in the new stage. Based on the policy of the Joint Prevention and Control Mechanism of the State Council and by using evidence-based medical evidence as well as Delphi expert consultation and voting, 16 recommendations are put forward from the four aspects of the related definitions, infection prevention, preoperative assessment and preparation, emergency operation and postoperative management, hoping to provide a reference for severe trauma care in the new stage of the epidemic prevention and control.

Mycolic acids (MAs), i.e. 2-alkyl, 3-hydroxy long-chain fatty acids, are the hallmark of the cell envelope of Mycobacterium tuberculosis and are related with antibiotic resistance and host immune escape. Nowadays, they've become hot target of new anti-tuberculosis drugs. There are two main methods to detect MAs, ¹⁴C metabolic labeling thin-layer chromatography (TLC) and liquid chromatograph mass spectrometer (LC-MS). However, the user qualification of ¹⁴C or the lack of standards for LC-MS hampered the easy use of this method. TLC is a common way to analyze chemical substance and can be used to analyze MAs. In this study, we used tetrabutylammonium hydroxide and methyl iodide to hydrolyze and formylate MAs from mycobacterium cell wall. Subsequently, we used diethyl ether to extract methyl mycolate. By this method, we can easily extract and analyze MA in regular biological labs. The results demonstrated that this method could be used to compare MAs of different mycobacterium in different growth phases, MAs of mycobacteria treated by anti-tuberculosis drugs or MAs of mycobacterium mutants. Therefore, we can use this method as an initial validation for the changes of MAs in researches such as new drug screening without using radioisotope or when the standards are not available.
Mycolic Acids/metabolism* ; Chromatography, Thin Layer ; Mycobacterium tuberculosis ; Fatty Acids ; Antitubercular Agents/pharmacology*

Oxidative Phosphorylation ; Acetylglucosamine ; Uridine Diphosphate N-Acetylglucosamine/metabolism*

Objective:To improve the longevity genetic research study design by applying self-organizing maps to select a control group for longevity study.Methods:This study included the Han population aged 90 years and above or less than 80 years who have died (control group) from the natural population-based cohort formed by the fusion of the Chinese Chronic Diseases and Risk Factors Surveillance in 2013 and the China Death Surveillance System. The subjects who died of injury, infectious diseases, parasitic diseases, and malignant tumors were excluded. The self-organizing maps method, with multiple iterations and self-organizing clustering, was used to select similar factors among the population aged 90 years and above and the control group, including demographic characteristics, diseases, living habits, social behaviors, and mental and psychological factors. The study used PLINK 1.9 software to evaluate the quality of whole genome sequencing and to conduct logistic regression of single nucleotide polymorphisms (SNPs) and longevity on autosomes. Q-Q plots were used to visualize the P value associated with SNPs and longevity. Results:There were 1 019 samples selected from the baseline of 177 099 survey participants for genome sequencing, including 517 in the longevity group and 502 in the control group. The longevity and the control groups are generally similar in smoking, drinking, diet, sleep duration, blood lipid level, and self-assessment oral health status but differ significantly in socio-economic status, physical activity time, BMI, and self-assessment health status. The whole genome sequencing results were controlled, and 4 618 216 SNPs were involved in association analysis. The Q-Q plot of longevity-related SNPs analysis results showed that the enrichment of P value 1e-4 was significantly lower than the expected P value, and significant signals were also detected among P<1e-7 regions. Conclusions:The self-organizing maps can comprehensively consider the influence of socioeconomic and behavioral risk factors and select longevity control samples among samples with actual age and cause of death in a large-scale natural population cohort to improve the efficiency of longevity genome association analysis. This study provides a methodological reference for nested case-control study sample selection from the large-scale natural population cohort.

As the only translational factor that plays a critical role in two translational processes (elongation and ribosome regeneration), GTPase elongation factor G (EF-G) is a potential target for antimicrobial agents. Both Mycobacterium smegmatis and Mycobacterium tuberculosis have two EF-G homologous coding genes, MsmEFG1 (MSMEG_1400) and MsmEFG2 (MSMEG_6535), fusA1 (Rv0684) and fusA2 (Rv0120c), respectively. MsmEFG1 (MSMEG_1400) and fusA1 (Rv0684) were identified as essential genes for bacterial growth by gene mutation library and bioinformatic analysis. To investigate the biological function and characteristics of EF-G in mycobacterium, two induced EF-G knockdown strains (Msm-ΔEFG1(KD) and Msm-ΔEFG2(KD)) from Mycobacterium smegmatis were constructed by clustered regularly interspaced short palindromic repeats interference (CRISPRi) technique. EF-G2 knockdown had no effect on bacterial growth, while EF-G1 knockdown significantly retarded the growth of mycobacterium, weakened the film-forming ability, changed the colony morphology, and increased the length of mycobacterium. It was speculated that EF-G might be involved in the division of bacteria. Minimal inhibitory concentration assay showed that inhibition of EF-G1 expression enhanced the sensitivity of mycobacterium to rifampicin, isoniazid, erythromycin, fucidic acid, capreomycin and other antibacterial agents, suggesting that EF-G1 might be a potential target for screening anti-tuberculosis drugs in the future.
Antitubercular Agents/pharmacology* ; Bacterial Proteins/metabolism* ; Drug Resistance ; Mycobacterium smegmatis/metabolism* ; Peptide Elongation Factor G/pharmacology*

Diabetic neuropathic pain （DNP） is one of the common complications of diabetic peripheral neuropathy， which is difficult to be cured. The clinical manifestations of DNP include reduced pain threshold， neuropathic pain in extremities， and abnormal pain. Studies have demonstrated that nuclear factor-kappa B （NF-κB）， mitogen-activated protein kinase （MAPK）， Toll-like receptor 4 （TLR4）， nuclear factor erythroid 2-related factor 2 （Nrf2）， and phosphatidylinositol 3-kinase （PI3K）/protein kinase B （Akt） signaling pathways are involved in the treatment of DNP by inhibiting the activation and release of inflammatory cytokines ［e.g.， tumor necrosis factor-alpha （TNF-α） and interleukin （IL）］， regulating inflammation-mediating factors ［e.g.， reactive oxygen （ROS）， inducible nitric oxide synthase （iNOS）， cyclooxygenase （COX-2）， and NF-κB inhibitor （IκB）］， suppressing neurogenic inflammation， destroying the persistent damage of peripheral nerves， and repairing damaged peripheral nerves. The literature of modern medical research has demonstrated that the treatment of DNP with Chinese herbal medicines is associated with the signaling pathways above. They can treat DNP by regulating the expression of key proteins in the signaling pathways to control neurogenic inflammation and repair diabetic peripheral neuropathic damage. By summarizing the available studies， this review aims to provide a reference for the in-depth research on Chinese herbal medicines in the treatment of DNP and give new insights into the protection of diabetic peripheral nerves and the treatment of DNP with Chinese herbal medicines.