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.

Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.

With the widespread use of antibiotics, drug-resistant bacterial infections have become a significant threat to human health. Finding new antibacterial strategies that can effectively control drug-resistant bacterial infections has become an urgent task. Unlike small molecule drugs that target bacterial proteins, antisense oligonucleotide (ASO) can target genes related to bacterial resistance, pathogenesis, growth, reproduction and biofilm formation. By regulating the expression of these genes, ASO can inhibit or kill bacteria, providing a novel approach for the development of antibacterial drugs. To overcome the challenge of delivering antisense oligonucleotide into bacterial cells, various drug delivery systems have been applied in this field, including cell-penetrating peptides, lipid nanoparticles and inorganic nanoparticles, which have injected new momentum into the development of antisense oligonucleotide in the antibacterial realm. This review summarizes the current development of small nucleic acid drugs, the antibacterial mechanisms, targets, sequences and delivery vectors of antisense oligonucleotide, providing a reference for the research and development of antisense oligonucleotide in the treatment of bacterial infections.

Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.

Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.

Hydrogen sulfide(H2 S),an endogenous gas trans-mitter involved in the regulation of vascular tone,has a variety of physiological properties,such as antihypertensive,vascular re-laxation,anti-inflammatory and antioxidant potential,and plays an important role in cardiovascular regulation.Chinese scholars call essential hypertension combined with hyperhomocysteinemia(HCY≥10 μmol·L-1)as H-type hypertension.Studies have shown that H2S can antagonized hypertension and hyperhomocys-teinemia,suggesting that H2S may be a potential therapeutic tar-get for H-type hypertension.Therefore,this article briefly sum-marizes the mechanism of H2S on hypertension and homocys-teine.Homocysteine(HCY)is closely related to the occurrence and development of cardiovascular diseases.Hyperhomocysteine-mia(HCY ≥ 10 μmol·L-1)is a risk factor for coronary ath-erosclerotic heart disease,stroke,and other cardiovascular dis-eases,and Chinese scholars define primary hypertension accom-panied by hyperhomocysteinemia as H-type hypertension,which accounts for about 75％of the adult hypertensive patients in Chi-na.The treatment of H-type hypertension should simultaneously reduce blood pressure and plasma HCY levels.Studies have shown that hydrogen sulfide(H2 S)can antagonise hypertension and high HCY,suggesting that H2S may be a potential therapeu-tic target for H-type hypertension.Therefore,this paper summa-rizes the mechanism of action of H2S on hypertension and HCY.

Aim To construct CX3CR1GFP transgenic mice based on the Cre/Loxp system,and to analyze the expression efficiency of CX3CR1GFP.Methods Targeted vectors were designed using restriction enzyme-based cloning technology to create a linearized targeted vector for transfecting embryonic stem cells(ES).The ES cells with a deletion of the neomycin resistance gene(neo)were then cloned into blastocysts to generate chimeric CX3CR1+/GFPmice.These mice were subsequently bred with wild-type mice(WT),and repeated backcrossing was performed to obtain CX3CR1GFP/GFP mice.DNA and mRNA from WT and CX3CR1GFP mice were extracted and genotyped using agarose gel electrophoresis.The expression level of CX3CR1 in various tis-sues of the mice was detected by RT-qPCR.Western blot analy-sis was used to analyze the expression of GFP protein in periph-eral blood mononuclear cells(PBMC)and various tissues.The labeling efficiency of immune cells in bone marrow was detected by flow cytometry.The expression of GFP in different mouse tis-sues was observed by immunofluorescence.Results The results of agarose gel electrophoresis showed that the transgenic mouse genotype was CX3CR1GFP/GFP homozygote.RT-qPCR and West-ern blot showed that EGFP were targeted to replace CX3CR1 gene,so CX3CR1 expression was very low in CX3CR1GFP mice,while GFP expression was significantly upregulated.Flow cytom-etry and immunofluorescence showed that GFP effectively marked CX3CR1GFP mice,expressed in various tissues and cells with different expression levels.Conclusion This study con-structs and identifies the CX3CR1GFP genetic reporter mice,and GFP is stably expressed in mice,which provides a foundation for further research into the potential mechanisms of CX3CR1 in im-mune regulation.

In mass spectrometry-based proteomics experiments,achieving high-throughput and efficientproteolytic digestion is crucial to ensure optimal protein cleavage and enhance the depth of protein identi-fication (including the number of identified proteins and the coverage of protein amino acid sequences) .Trypsin is the most widely used protease in mass spectrometry-based proteomics due to its ability to spe-cifically cleave the carboxyl terminus of arginine and lysine.However,it was found that Trypsin has some missed enzymatic efficiency for the cleavage of lysine residues.Therefore,in actual proteomics sample preparation,a combination of Trypsin and LysC will be used to ensure adequate cleavage of lysine resi-dues.Our study revealed that the commonly employed LysC-Trypsin tandem cleavage method exerts an impact on the enzymatic cleavage of protein samples by Trypsin due to the subsequent cleavage of Trypsin by initially added LysC.Consequently,we adjusted the order of LysC and Trypsin tandem digestion,with Trypsin cleavage being performed first followed by the addition of LysC to target any missed lysine resi-dues.We comprehensively compared and analyzed three distinct sequential digestion methods,namely Trypsin-Trypsin (T-T),LysC-Trypsin (L-T),and Trypsin-LysC (T-L),in terms of their effects on pro-tein sample preparation quality.The results demonstrated that the Trypsin-LysC sequential digestion ap-proach not only minimizes missed protein lysine/arginine cleavage sites without increasing experimental costs,at the same time yielding peptides with a moderate amino acid sequence length.The use of Tryp-sin-LysC digestion enhances the adsorption and separation of peptide samples in RP-HPLC,as well as improves the depth of protein detection and amino acid sequence coverage during tandem mass spectrome-try analysis.This research work offers a novel technical solution and serves as a valuable reference for proteome sample preparation.

Jumonji domain-containing protein D3(JMJD3)is a 2-oxoglutarate-dependent dioxygenase that specif-ically removes transcriptional repression marks di-and tri-methylated groups from lysine 27 on histone 3(H3K27me2/3).The erasure of these marks leads to the activation of some associated genes,thereby influencing various biological processes,such as development,differentiation,and immune response.However,comprehensive descriptions regarding the relationship between JMJD3 and inflammation are lacking.Here,we provide a comprehensive overview of JMJD3,including its structure,functions,and involvement in inflammatory pathways.In addition,we summarize the evidence supporting JMJD3's role in several inflammatory diseases,as well as the potential therapeutic applications of JMJD3 inhibitors.Additionally,we also discuss the challenges and opportunities associated with investigating the functions of JMJD3 and developing targeted inhibitors and propose feasible solutions to provide valuable insights into the functional exploration and discovery of potential drugs targeting JMJD3 for inflammatory diseases.

Objective To explore the effect of mixed antibiotics on the intestinal flora of mice to affect the immune regulation of the body,explore the role of intestinal flora in the development of obesity,and provide new ideas and ways for the prevention and treatment of obesity.Methods Seventy-two 10-week-old male C57BL/6 mice were randomly divided into blank control(Ctrl)group,high-fat diet(HF)group,antibiotic(ABX)group,and combined(COMB)group(n=18).At the first 2 weeks(lavage intervention weeks),Ctrl and HF group were given normal saline gavage;ABX and COMB group were given mixed antibiotics gavage,and the gavage volume was 0.2 mL/animal/day.For the following 8 weeks(feeding weeks),Ctrl and ABX group were fed with ordinary diet,HF and COMB group were fed with high-fat diet.Body weight was measured weekly,and fasting blood glucose was measured before and after gavage,and at the 4th and 8th week of feeding.Oral glucose tolerance test was performed at the end of the experiment.The organ coefficient was measured and the cell morphology of white and brown adipose tissue was observed.Serum was collected for the determination of free fatty acid,high-density lipoprotein,low-density lipoprotein,triglyceride,and total cholesterol.Serum TNF-α,IL-10,IL-4,IL-13,IL-33 and MCP-1 was detected by ELISA.The stool of mice was collected for second generation sequencing.Results High-fat diet increased body weight,serum total cholesterol,low-density lipoprotein,IL-13,IL-33,TNF-α,MCP-1 content,and decreased glucose tolerance and organ coefficient in mice(P＜0.05).From the first feeding week to the end of the experiment,body weight in COMB group was significantly lower than that in HF group(P＜0.05).The level of glucose tolerance,serum total cholesterol,low density lipoprotein,IL-13,IL-33,TNF-α and MCP-1 in COMB group was lower than those in HF group(P＜0.05).The α diversity of intestinal flora in ABX group was lower than that in Ctrl group(P＜0.05).Congestion and bleeding in WAT were obvious in HF group,but not in COMB group.The microbial community composition of ABX and HF group was similar to that of Ctrl and COMB group,respectively.Conclusion High-fat diet induces obesity,disorder of glucose and lipid metabolism and inflammation in mice.Short-term mixed antibiotic use can regulate the intestinal flora of mice,mediate increased expression of related anti-inflammatory factors,up-regulate host immunity,and improve glucose and lipid metabolism in mice.