Diabetic kidney disease （DKD） is a kidney disease caused by hyperglycemia，which is one of the most common microvascular complications of diabetes. Due to the high incidence of diabetes，the incidence of DKD has also increased year by year，and DKD has become a global public health problem. The pathogenesis of DKD is related to mechanisms such as oxidative stress，inflammation，renal fibrosis，and decreased mitophagy activity，which are developed under a variety of complex mechanisms. In traditional Chinese medicine，it is believed that the incidence of DKD is closely related to damp heat. Therefore，it is necessary to grasp the treatment method of clearing heat and removing dampness in clinical medication. Huangkui Capsules （HKC） have the effect of clearing damp heat，detoxifying， and detumescence. Because of its unique curative effect on DKD，HKC is often used in the treatment of DKD. HKC plays a role in the treatment of DKD with a variety of pharmacokinetic and pharmacodynamic processes. In many laboratory studies，it has been found that the specific mechanisms of HKC in the treatment of DKD include increasing mitophagy，reducing mitochondrial damage，reducing renal fibrosis，controlling inflammatory response，and inhibiting oxidative stress，which can achieve the purpose of reducing renal damage and promoting renal function. Some clinical studies have also verified that the application of HKC alone can exert renal protective function through anti-inflammatory，anti-oxidative stress，anti-renal fibrosis effects，as well as reduction of urinary protein. Since DKD is not a single injury of renal function，it is often accompanied by problems in blood pressure，blood lipids，blood circulation，body immunity， and other aspects. Therefore，the combination of HKC with other drugs can often achieve more comprehensive results，improve the advantages of various drugs，and improve the therapeutic effect. The combination of drugs such as antihypertensive，lipid-lowering， vascular circulation improvement，immunity inhibition，and anti-oxidative stress with HKC has achieved good results. In addition，HKC is often used in combination with other Chinese patent medicines in clinics. The application of HKC in the treatment of DKD has made some progress，but there are still many places worthy of further study，and the research on the mechanism of HKC is not comprehensive enough. The research on its long-term effect and safety in clinical application is relatively lacking，and the drug variety is relatively single when combined with certain drugs. These problems deserve further attention. Finally，it is necessary to pay attention to the promotion and application of HKC in clinical practice so that HKC can be better applied in clinical practice and better solve practical problems for patients.

Diabetic kidney disease （DKD） is a kidney disease caused by hyperglycemia，which is one of the most common microvascular complications of diabetes. Due to the high incidence of diabetes，the incidence of DKD has also increased year by year，and DKD has become a global public health problem. The pathogenesis of DKD is related to mechanisms such as oxidative stress，inflammation，renal fibrosis，and decreased mitophagy activity，which are developed under a variety of complex mechanisms. In traditional Chinese medicine，it is believed that the incidence of DKD is closely related to damp heat. Therefore，it is necessary to grasp the treatment method of clearing heat and removing dampness in clinical medication. Huangkui Capsules （HKC） have the effect of clearing damp heat，detoxifying， and detumescence. Because of its unique curative effect on DKD，HKC is often used in the treatment of DKD. HKC plays a role in the treatment of DKD with a variety of pharmacokinetic and pharmacodynamic processes. In many laboratory studies，it has been found that the specific mechanisms of HKC in the treatment of DKD include increasing mitophagy，reducing mitochondrial damage，reducing renal fibrosis，controlling inflammatory response，and inhibiting oxidative stress，which can achieve the purpose of reducing renal damage and promoting renal function. Some clinical studies have also verified that the application of HKC alone can exert renal protective function through anti-inflammatory，anti-oxidative stress，anti-renal fibrosis effects，as well as reduction of urinary protein. Since DKD is not a single injury of renal function，it is often accompanied by problems in blood pressure，blood lipids，blood circulation，body immunity， and other aspects. Therefore，the combination of HKC with other drugs can often achieve more comprehensive results，improve the advantages of various drugs，and improve the therapeutic effect. The combination of drugs such as antihypertensive，lipid-lowering， vascular circulation improvement，immunity inhibition，and anti-oxidative stress with HKC has achieved good results. In addition，HKC is often used in combination with other Chinese patent medicines in clinics. The application of HKC in the treatment of DKD has made some progress，but there are still many places worthy of further study，and the research on the mechanism of HKC is not comprehensive enough. The research on its long-term effect and safety in clinical application is relatively lacking，and the drug variety is relatively single when combined with certain drugs. These problems deserve further attention. Finally，it is necessary to pay attention to the promotion and application of HKC in clinical practice so that HKC can be better applied in clinical practice and better solve practical problems for patients.

RNA-binding proteins (RBPs) are ubiquitous components within cells, fulfilling essential functions in a myriad of biological processes. These proteins interact with RNA molecules to regulate gene expression at various levels, including transcription, splicing, transport, localization, translation, and degradation. Understanding the intricate network of RBP-RNA interactions is crucial for deciphering the complex regulatory mechanisms that govern cellular function and organismal development. Ultravidet (UV) cross-linking and immunoprecipitation (CLIP) stands out as a powerful approach designed to map the precise locations where RBPs bind to RNA. By using UV light to create covalent bonds between proteins and RNA, followed by immunoprecipitation to isolate the protein-RNA complexes, researchers can identify the direct targets of specific RBPs. The advent of high-throughput sequencing technologies has revolutionized CLIP, enabling the identification of not only the types but also the exact sequences of RNA bound by RBPs on a genome-wide scale. The evolution of CLIP has led to the development of specialized variants, each with unique features that address specific challenges and expand the scope of what can be studied. High-throughput sequencing CLIP (HITS-CLIP) was one of the first advancements, significantly increasing the throughput and resolution of RNA-protein interaction mapping. Photoactivatable-ribonucleoside-enhanced CLIP (PAR-CLIP) introduced the use of photoactivatable ribonucleosides to enhance cross-linking efficiency and specificity, reducing background noise and improving the detection of low-abundance RNA-protein interactions. Individual-nucleotide resolution CLIP (iCLIP) further refined the technique, achieving unprecedented precision by resolving individual nucleotides involved in RBP binding, which is particularly valuable for studying the fine details of RNA structure and function. Despite the remarkable progress, there remains room for improvement in CLIP technology. Researchers continue to seek methods to increase sensitivity, reduce technical variability, and improve the reproducibility of results. Advances in sample preparation, data analysis algorithms, and computational tools are critical for addressing these challenges. Moreover, the application of CLIP to more diverse biological systems, including non-model organisms and clinical samples, requires the development of tailored protocols and the optimization of existing ones. Looking forward, the field of RNA biology is poised to benefit greatly from ongoing innovations in CLIP technology. The exploration of non-canonical RNA-protein interactions, such as those involving long non-coding RNAs (lncRNAs) and circular RNAs (circRNAs), promises to reveal new layers of cellular regulation and may lead to the discovery of novel therapeutic targets. Furthermore, integrating CLIP data with other omics approaches, such as proteomics and metabolomics, will provide a more comprehensive understanding of the dynamic interplay between RNA and its binding partners within the cell. In conclusion, the continuous refinement and expansion of CLIP techniques have not only deepened our knowledge of RNA biology but have also opened up new avenues for investigating the molecular underpinnings of health and disease. As the technology matures, it is expected to play an increasingly pivotal role in both basic and applied research, contributing to the advancement of medical science and biotechnology.

Tumors are the second leading cause of death worldwide. Exosomes are a type of extracellular vesicle secreted from multivesicular bodies, with particle sizes ranging from 40 to 160 nm. They regulate the tumor microenvironment, proliferation, and progression by transporting proteins, nucleic acids, and other biomolecules. Compared with other drug delivery systems, exosomes derived from different cells possess unique cellular tropism, enabling them to selectively target specific tissues and organs. This homing ability allows them to cross biological barriers that are otherwise difficult for conventional drug delivery systems to penetrate. Due to their biocompatibility and unique biological properties, exosomes can serve as drug delivery systems capable of loading various anti-tumor drugs. They can traverse biological barriers, evade immune responses, and specifically target tumor tissues, making them ideal carriers for anti-tumor therapeutics. This article systematically summarizes the methods for exosome isolation, including ultracentrifugation, ultrafiltration, size-exclusion chromatography (SEC), immunoaffinity capture, and microfluidics. However, these methods have certain limitations. A combination of multiple isolation techniques can improve isolation efficiency. For instance, combining ultrafiltration with SEC can achieve both high purity and high yield while reducing processing time. Exosome drug loading methods can be classified into post-loading and pre-loading approaches. Pre-loading is further categorized into active and passive loading. Active loading methods, including electroporation, sonication, extrusion, and freeze-thaw cycles, involve physical or chemical disruption of the exosome membrane to facilitate drug encapsulation. Passive loading relies on drug concentration gradients or hydrophobic interactions between drugs and exosomes for encapsulation. Pre-loading strategies also include genetic engineering and co-incubation methods. Additionally, we review approaches to enhance the targeting, retention, and permeability of exosomes. Genetic engineering and chemical modifications can improve their tumor-targeting capabilities. Magnetic fields can also be employed to promote the accumulation of exosomes at tumor sites. Retention time can be prolonged by inhibiting monocyte-mediated clearance or by combining exosomes with hydrogels. Engineered exosomes can also reshape the tumor microenvironment to enhance permeability. This review further discusses the current applications of exosomes in delivering various anti-tumor drugs. Specifically, exosomes can encapsulate chemotherapeutic agents such as paclitaxel to reduce side effects and increase drug concentration within tumor tissues. For instance, exosomes loaded with doxorubicin can mitigate cardiotoxicity and minimize adverse effects on healthy tissues. Furthermore, exosomes can encapsulate proteins to enhance protein stability and bioavailability or carry immunogenic cell death inducers for tumor vaccines. In addition to these applications, exosomes can deliver nucleic acids such as siRNA and miRNA to regulate gene expression, inhibit tumor proliferation, and suppress invasion. Beyond their therapeutic applications, exosomes also serve as tumor biomarkers for early cancer diagnosis. The detection of exosomal miRNA can improve the sensitivity and specificity of diagnosing prostate and pancreatic cancers. Despite their promising potential as drug delivery systems, challenges remain in the standardization and large-scale production of exosomes. This article explores the future development of engineered exosomes for targeted tumor therapy. Plant-derived exosomes hold potential due to their superior biocompatibility, lower toxicity, and abundant availability. Furthermore, the integration of exosomes with artificial intelligence may offer novel applications in diagnostics, therapeutics, and personalized medicine.

Diterpenoid ferruginol is a key intermediate in biosynthesis of active ingredients such as tanshinone and carnosic acid.However, the traditional process of obtaining ferruginol from plants is often cumbersome and inefficient. In recent years, the increasingly developing gene editing technology has been gradually applied to the heterologous production of natural products, but the production of ferruginol in microbe is still very low, which has become an obstacle to the efficient biosynthesis of downstream chemicals, such as tanshinone. In this study, miltiradiene was produced by integrating the shortened diterpene synthase fusion protein,and the key genes in the MVA pathway were overexpressed to improve the yield of miltiradiene. Under the shake flask fermentation condition, the yield of miltiradiene reached about(113. 12±17. 4)mg·L~(-1). Subsequently, this study integrated the ferruginol synthase Sm CYP76AH1 and Sm CPR1 to reconstruct the ferruginol pathway and thereby realized the heterologous synthesis of ferruginol in Saccharomyces cerevisiae. The study selected the best ferruginol synthase(Il CYP76AH46) from different plants and optimized the expression of pathway genes through redox partner engineering to increase the yield of ferruginol. By increasing the copy number of diterpene synthase, CYP450, and CPR, the yield of ferruginol reached(370. 39± 21. 65) mg·L~(-1) in the shake flask, which was increased by 21. 57-fold compared with that when the initial ferruginol strain JMLT05 was used. Finally, 1 083. 51 mg·L~(-1) ferruginol was obtained by fed-batch fermentation, which is the highest yield of ferruginol from biosynthesis so far. This study provides not only research ideas for other metabolic engineering but also a platform for the construction of cell factories for downstream products.
Saccharomyces cerevisiae/genetics* ; Diterpenes/metabolism* ; Metabolic Engineering ; Fermentation ; Abietanes

OBJECTIVES: To construct a Z-score regression model for coronary artery diameter based on echocardiographic data from children in Sichuan Province and to establish a Z-score calculation formula. METHODS: A total of 744 healthy children who underwent physical examinations at Sichuan Provincial People's Hospital from January 2020 to December 2022 were selected as the modeling group, while 251 children diagnosed with Kawasaki disease at the same hospital from January 2018 to December 2022 were selected as the validation group. Pearson correlation analysis was conducted to analyze the relationships between coronary artery diameter values and age, height, weight, and body surface area. A regression model was constructed using function transformation to identify the optimal regression model and establish the Z-score calculation formula, which was then validated. RESULTS: The Pearson correlation analysis showed that the correlation coefficients for the diameters of the left main coronary artery, left anterior descending artery, left circumflex artery, and right coronary artery with body surface area were 0.815, 0.793, 0.704, and 0.802, respectively (P<0.05). Among the constructed regression models, the power function regression model demonstrated the best performance and was therefore chosen as the optimal model for establishing the Z-score calculation formula. Based on this Z-score calculation formula, the detection rate of coronary artery lesions was found to be 21.5% (54/251), which was higher than the detection rate based on absolute values of coronary artery diameter. Notably, in the left anterior descending and left circumflex arteries, the detection rate of coronary artery lesions using this Z-score calculation formula was higher than that of previous classic Z-score calculation formulas. CONCLUSIONS The Z-score calculation formula established based on the power function regression model has a higher detection rate for coronary artery lesions, providing a strong reference for clinicians, particularly in assessing coronary artery lesions in children with Kawasaki disease.
Humans ; Male ; Female ; Child, Preschool ; Child ; Coronary Artery Disease/diagnostic imaging* ; Infant ; Mucocutaneous Lymph Node Syndrome ; Regression Analysis ; Coronary Vessels/diagnostic imaging* ; Echocardiography ; Adolescent

Debates persist regarding the efficacy and safety of azvudine, particularly its real-world outcomes. This study involved patients aged ≥60 years who were admitted to 25 hospitals in mainland China with confirmed SARS-CoV-2 infection between December 1, 2022, and February 28, 2023. Efficacy outcomes were all-cause mortality during hospitalization, the proportion of patients discharged with recovery, time to nucleic acid-negative conversion (T _NANC), time to symptom improvement (T _SI), and time of hospital stay (T _HS). Safety was also assessed. Among the 5884 participants identified, 1999 received azvudine, and 1999 matched controls were included after exclusion and propensity score matching. Azvudine recipients exhibited lower all-cause mortality compared with controls in the overall population (13.3% vs. 17.1%, RR, 0.78; 95% CI, 0.67-0.90; P = 0.001) and in the severe subgroup (25.7% vs. 33.7%; RR, 0.76; 95% CI, 0.66-0.88; P < 0.001). A higher proportion of patients discharged with recovery, and a shorter T _NANC were associated with azvudine recipients, especially in the severe subgroup. The incidence of adverse events in azvudine recipients was comparable to that in the control group (2.3% vs. 1.7%, P = 0.170). In conclusion, azvudine showed efficacy and safety in older patients hospitalized with COVID-19 during the SARS-CoV-2 omicron wave in China.

ObjectiveThe natural history of chronic HBV infection often involves a histologically defined immune tolerance state， and once such immune tolerance state is broken， antiviral therapy should be initiated immediately. This study aims to investigate the correlation between immune-mediated liver injury and virological indicators for HBV and precisely identify the patients with a histologically defined immune tolerance state. MethodsThis study was conducted among 577 HBeAg-positive chronic hepatitis B （CHB） patients with HBV DNA >2×10⁶ IU/mL who did not receive antiviral therapy in The Fifth Medical Center of PLA General Hospital， Tianjin Second People’s Hospital， Shanghai Ruijin Hospital， and Taizhou Hospital of Zhejiang Province from January 2010 to December 2022. Liver biopsy was performed to determine the extent of liver injury， and the serum levels of alanine aminotransferase （ALT）， aspartate aminotransferase （AST）， and virological indicators were measured. The proportion of patients with a histologically defined immune tolerance state was analyzed based on the cut-off values of noninvasive indicators recommended in various guidelines， especially HBV load. In addition， a diagnostic model was established for the histologically defined immune tolerance state based on serum HBV DNA at the time when its correlation with liver immunopathological injury disappeared as the new threshold in combination with multiple indicators. The Mann-Whitney U test was used for comparison of continuous data between two groups， and the chi-square test was used for comparison of categorical data between two groups. The Spearman method was used for correlation analysis. The binary Logistic regression analysis was used to establish a multivariate diagnostic model； the area under the receiver operating characteristic curve （AUC） was used to investigate the diagnostic efficiency of different models， and the Z test was used for comparison of AUC. ResultsAmong the patients with an immune tolerance state defined by the noninvasive indicators in the Chinese guidelines （2022 edition）， the EASL guidelines （2017 edition）， the AASLD guidelines （2018 edition）， and the APASL guidelines （2015 edition） for the prevention and treatment of CHB， the patients with a histologically defined immune tolerance state who met the definition in this article （HBV DNA>2×10⁶ IU/mL） accounted for 47.0%， 38.5%， 36.0%， and 44.6%， respectively， which did not exceed 50%. When the threshold of serum HBV DNA increased to >2×10⁸ IU/mL， although the correlation between immune-mediated liver injury and HBV DNA disappeared （r=-0.029， P=0.704）， the patients with a histologically defined immune tolerance state reached only 52.0%. In the cohort of 251 HBeAg-positive patients with serum HBV DNA >1×10⁸ IU/mL， there were significant differences in the levels of HBsAg， HBeAg， HBV DNA， ALT， and AST between the significant liver injury group with 140 children and the non-significant liver injury group with 111 patients （all P<0.05）， and the multivariate binary Logistic regression analysis showed that AST， HBV DNA， and HBeAg were influencing factors for histologically defined immune tolerance state in patients （all P<0.05）. Based on the above indicators and related clinical data， a predictive model was established as logit（P）=1.424－0.028×AST， with an AUC of 0.730， an optimal cut-off value of 30.5 U/L， a sensitivity of 52.8%， and a specificity of 84.1%. A total of 238 adult patients with chronic HBV infection who underwent liver biopsy in Taizhou Hospital of Zhejiang Province were enrolled as the validation cohort， and the analysis showed that the predictive model established in this study had a better efficiency than AST/ALT， FIB-4， and APRI， with an AUC of 0.698， 0.555， 0.518， and 0.373， respectively （all P<0.05）. ConclusionFor HBeAg-positive patients with chronic HBV infection and HBV DNA>2×10⁸ IU/mL， an AST level of >30.5 U/L might indicate the “breakdown” of histologically defined immune tolerance state.

AIM: To analyze the causes of blindness and low vision in patients with visual disability in Yangpu District of Shanghai from 2019 to 2022.METHODS:Cross-sectional study. A total of 1 604 patients who participated in the evaluation of visual disability in Shanghai Yangpu District Kongjiang Hospital, from April 2019 to December 2022 were selected for the study. The grade of visual disability and the main causes of blindness and low vision were determined by trained doctors.RESULTS:A total of 804 patients with visual disabilities were identified, with 87.31% aged 60 and above. The causes of visual disability were high myopic retinopathy(30.47%), age-related macular degeneration(23.26%), glaucoma(17.04%), and diabetic retinopathy(11.07%). Glaucoma(36.96%)is the leading cause of blindness.CONCLUSION: The majority of patients with visual disability are aged 60 years and above. More attention should be paid to the elderly population. Comprehensive prevention, treatment and rehabilitation measures should be applied in different diseases based on classification, so as to early reduce the occurrence of visual disability.

Objective:To explore the predictive effect of European treatment and outcome study long term survival (ELTS) score on survival outcomes in chronic myeloid leukemia of chronic phase (CML-CP) children.Methods:A single-center retrospective cohort study was conducted. Clinical data of 216 children with CML-CP in Peking University People′s Hospital from January 2010 to December 2023 were analyzed. Children were divided into low, intermediate and high-risk groups according to ELTS score. The survival outcomes and prognostic factors were analyzed. Kaplan-Meier method and Log-Rank test were used for survival analysis.Cox regression model was applied for analysis of prognostic factors.Results:Among the 216 children with CML-CP, there were 122 males and 94 females, with the diagnosis age of 11.0 (8.0, 14.7) years. The follow-up time was 77 (57, 99) months. According to ELTS score, 145, 52, and 19 children were classified as low, intermediate and high-risk group. For the low-risk and intermediate/high-risk groups, the 6-year failure-free survival (FFS) rates were (83.0±3.1)% and (64.6±5.7)%, the 6-year progression-free survival (PFS) rates were (91.4±2.3)% and (78.7±4.8)%, and the 6-year event-free survival (EFS) rates were (80.8±3.3)% and (64.2±5.7)%, with statistically significant difference ( χ2=9.45, 7.16, 7.40, P=0.002, 0.007, 0.007), respectively.The 6-year overall survival (OS) rates were (98.5±1.0)% and (95.6±2.4)%, without statistically significant difference ( χ2=0.35, P=0.550). Multivariate analysis showed that ELTS score was an independent prognostic factor or tendency for FFS ( HR=1.97, 95% CI 1.11-3.49), PFS ( HR=2.95, 95% CI 1.18-7.39), and no independent prognostic factor for EFS and OS were found. Conclusions:ELTS score at diagnosis can help stratify the risk of children with CML-CP. The children in intermediate/high-risk group are more likely to have treatment failure, disease progression than those in low-risk group, but the predictive ability of ELTS score for OS is limited.