Interferon stimulating factor STING, a transmembrane protein residing in the endoplasmic reticulum, is extensively involved in the sensing and transduction of intracellular signals and serves as a crucial component of the innate immune system. STING is capable of directly or indirectly responding to abnormal DNA originating from diverse sources within the cytoplasm, thereby fulfilling its classical antiviral and antitumor functions. Structurally, STING is composed of 4 transmembrane helices, a cytoplasmic ligand binding domain (LBD), and a C terminal tail structure (CTT). The transmembrane domain (TM), which is formed by the transmembrane helical structures, anchors STING to the endoplasmic reticulum, while the LBD is in charge of binding to cyclic dinucleotides (CDNs). The classical second messenger, cyclic guanosine monophosphate-adenosine monophosphate (cGAMP), represents a key upstream molecule for STING activation. Once cGAMP binds to LBD, STING experiences conformational alterations, which subsequently lead to the recruitment of Tank-binding kinase 1 (TBK1) via the CTT domain. This, in turn, mediates interferon secretion and promotes the activation and migration of dendritic cells, T cells, and natural killer cells. Additionally, STING is able to activate nuclear factor-κB (NF-κB), thereby initiating the synthesis and release of inflammatory factors and augmenting the body’s immune response. In recent years, an increasing number of studies have disclosed the non-classical functions of STING. It has been found that STING plays a significant role in organelle regulation. STING is not only implicated in the quality control systems of organelles such as mitochondria and endoplasmic reticulum but also modulates the functions of these organelles. For instance, STING can influence key aspects of organelle quality control, including mitochondrial fission and fusion, mitophagy, and endoplasmic reticulum stress. This regulatory effect is not unidirectional; rather, it is subject to organelle feedback regulation, thereby forming a complex interaction network. STING also exerts a monitoring function on the nucleus and ribosomes, which further enhances the role of the cGAS-STING pathway in infection-related immunity. The interaction mechanism between STING and organelles is highly intricate, which, within a certain range, enhances the cells’ capacity to respond to external stimuli and survival pressure. However, once the balance of this interaction is disrupted, it may result in the occurrence and development of inflammatory diseases, such as aseptic inflammation and autoimmune diseases. Excessive activation or malfunction of STING may trigger an over-exuberant inflammatory response, which subsequently leads to tissue damage and pathological states. This review recapitulates the recent interactions between STING and diverse organelles, encompassing its multifarious functions in antiviral, antitumor, organelle regulation, and immune regulation. These investigations not only deepen the comprehension of molecular mechanisms underlying STING but also offer novel concepts for the exploration of human disease pathogenesis and the development of potential treatment strategies. In the future, with further probing into STING function and its regulatory mechanisms, it is anticipated to pioneer new approaches for the treatment of complex diseases such as inflammatory diseases and tumors.

ObjectiveTransfer RNA-derived fragments (tRFs) are a recently characterized and rapidly expanding class of small non-coding RNAs, typically ranging from 13 to 50 nucleotides in length. They are derived from mature or precursor tRNA molecules through specific cleavage events and have been implicated in a wide range of cellular processes. Increasing evidence indicates that tRFs play important regulatory roles in gene expression, primarily by interacting with target messenger RNAs (mRNAs) to induce transcript degradation, in a manner partially analogous to microRNAs (miRNAs). However, despite their emerging biological relevance and potential roles in disease mechanisms, there remains a significant lack of computational tools capable of systematically predicting the interaction landscape between tRFs and their target mRNAs. Existing databases often rely on limited interaction features and lack the flexibility to accommodate novel or user-defined tRF sequences. The primary goal of this study was to develop a machine learning based prediction algorithm that enables high-throughput, accurate identification of tRF:mRNA binding events, thereby facilitating the functional analysis of tRF regulatory networks. MethodsWe began by assembling a manually curated dataset of 38 687 experimentally verified tRF:mRNA interaction pairs and extracting seven biologically informed features for each pair: (1) AU content of the binding site, (2) site pairing status, (3) binding region location, (4) number of binding sites per mRNA, (5) length of the longest consecutive complementary stretch, (6) total binding region length, and (7) seed sequence complementarity. Using this dataset and feature set, we trained 4 distinct machine learning classifiers—logistic regression, random forest, decision tree, and a multilayer perceptron (MLP)—to compare their ability to discriminate true interactions from non-interactions. Each model’s performance was evaluated using overall accuracy, receiver operating characteristic (ROC) curves, and the corresponding area under the ROC curve (AUC). The MLP consistently achieved the highest AUC among the four, and was therefore selected as the backbone of our prediction framework, which we named tRF Prospect. For biological validation, we retrieved 3 high-throughput RNA-seq datasets from the gene expression omnibus (GEO) in which individual tRFs were overexpressed: AS-tDR-007333 (GSE184690), tRF-3004b (GSE197091), and tRF-20-S998LO9D (GSE208381). Differential expression analysis of each dataset identified genes downregulated upon tRF overexpression, which we designated as putative targets. We then compared the predictions generated by tRF Prospect against those from three established tools—tRFTar, tRForest, and tRFTarget—by quantifying the number of predicted targets for each tRF and assessing concordance with the experimentally derived gene sets. ResultsThe proposed algorithm achieved high predictive accuracy, with an AUC of 0.934. Functional validation was conducted using transcriptome-wide RNA-seq datasets from cells overexpressing specific tRFs, confirming the model’s ability to accurately predict biologically relevant downregulation of mRNA targets. When benchmarked against established tools such as tRFTar, tRForest, and tRFTarget, tRF Prospect consistently demonstrated superior performance, both in terms of predictive precision and sensitivity, as well as in identifying a higher number of true-positive interactions. Moreover, unlike static databases that are limited to precomputed results, tRF Prospect supports real-time prediction for any user-defined tRF sequence, enhancing its applicability in exploratory and hypothesis-driven research. ConclusionThis study introduces tRF Prospect as a powerful and flexible computational tool for investigating tRF:mRNA interactions. By leveraging the predictive strength of deep learning and incorporating a broad spectrum of interaction-relevant features, it addresses key limitations of existing platforms. Specifically, tRF Prospect: (1) expands the range of detectable tRF and target types; (2) improves prediction accuracy through multilayer perceptron model; and (3) allows for dynamic, user-driven analysis beyond database constraints. Although the current version emphasizes miRNA-like repression mechanisms and faces challenges in accurately capturing 5'UTR-associated binding events, it nonetheless provides a critical foundation for future studies aiming to unravel the complex roles of tRFs in gene regulation, cellular function, and disease pathogenesis.

Objective To develop the functions and optimize the automatic monitoring module for arrhythmias of the adverse drug event active surveillance and assessment system-Ⅱ,in order to continuously improve the performance,enhance the monitoring efficiency,and explore the ways to optimize the module.Methods Expand and optimize the functions of the module,increase the customized configuration,and determine the optimal setting conditions;compare the optimized test data with the results of the evaluation studies on the automatic monitoring of drug-induced arrhythmias in large samples of medicated population previously,and verify the optimization extent as well as the accuracy of the module.Results In the new module optimized according to the characteristics of the monitoring population,the function of"mandatory medical order keywords"was added,and it was determined that the inclusion of 6 electrocardiogram examination-related medical order keywords with a frequency of not less than 2 occurrences was the optimal configuration condition for the optimization of the module;combining the results of the previous automatic monitoring and evaluation researches,the system functions were verified and compared under the conditions of using the whole drugs and 2 kinds of single drug.While there was no loss of true positive cases,the number of cases with system alarms decreased by 30.75％,80.13％and 90.82％,respectively,compared with that before the optimization of the module,and the positive predictive value was significantly improved.Conclusion After the function expansion and optimization,the automatic monitoring module of drug-induced arrhythmias significantly reduces the labor cost of case evaluation and keeps the accuracy of monitoring results constant;the new module can better adapt to the demands of different automatic monitoring modes and operates stably,which is more generalizable and flexible,and provides a new way of considering for the research and development of automatic monitoring modules.

Sodium-glucose co-transporter protein 2 inhibitor(SGLT2i)has steadily demonstrated benefits in the treatment of type 2 diabetes complicated with cardiovascular diseases based on evidence-based medicine,but its precise mechanism is yet unknown.We identified type 2 diabetes patients with HFpEF by searching PubMed,Web of Science,China knowledge network(CNKI),and other databases.We then summarized the pathological mechanism of HFpEF caused by type 2 diabetes.At the same time,to link to evidence-based medical,we explored the future of SGLT2i in clinical application.

Objective To compare endoscopic thyroidectomy via transoral submental approach with open surgery for treating thyroid tumors in terms of the clinical effectiveness.Methods We retrospectively reviewed and analyzed the clinical data and follow-up records of 154 patients in the study,who were hospitalized for thyroidectomy in our hospital from January 2021 to June 2022.Among them,74 cases undergoing endoscopic thyroidectomy via transoral submental approach were assigned to the endoscopic group and 80 cases undergoing traditional open thyroid surgery to the open surgery group.Results All operations were completed successfully and safely in both groups,with no intermediate openings in the endoscopic group.Compared with the open surgery group,the endoscopic group had significantly fewer intraoperative blood losses[(19.46±10.24)mL vs.(32.05±15.87)mL],significantly less incision length[(1.95±0.30)cm vs.(7.05±0.60)cm],significant shorter operative time[(136.66±22.44)min vs.(82.75±15.20)min],and significantly less total postoperative drainage[(111.35±38.92)mL vs.(95.45±36.73)mL](all P＜0.05).Endoscopic patients had superior postoperative pain and cosmetic satisfaction compared to open patients,and the difference was statistically significant(P＜0.05).The two groups had no significant differences in the number of lymph node dissections,parathyroid hormone,and postoperative morbidity between the two groups(P＞0.05).Conclusion The endoscopic thyroidectomy via transoral submental approach can achieve the same clinical effectiveness as the traditional open surgery.However,it is advantageous in reducing intra-operative blood loss,relieving post-operative pain,and achieving a better cosmetic effects of neck incision,thus deserving clinical promotion and application.

At present, there is no cure for acquired immune deficiency syndrome (AIDS) due to HIV-1 latent reservoirs. Therefore, it urgently requires novel HIV-1 latency-regulating agents with high potency, low toxicity and favorable drug-like properties to achieve a functional cure for AIDS. Herein, we reviewed the advances in HIV-1 latency-regulating agents since 2019, including the drug discovery strategies, bioactivities, and mechanisms of these compounds. It is of great guiding significance in the development of latency-regulating agents with clinical value.

Objective To evaluate the molluscicidal effect and cost of spraying molluscicides with drones against Oncomelania hupensis snails in marshland and lake areas, so as to provide new insights into field snail control in China. Methods A marshland and lake setting measuring approximately 12 000 m² was selected in Wanzhi District, Wuhu City on June 2023 as the test field, and assigned to four groups, of 3 000 m² in each group. Environmental cleaning was not conducted in groups A or B, which were given 5% niclosamide ethanolamine salt granules sprayed with knapsack-type sprayers and drones at a dose of 40 g/m², and environmental cleaning was conducted in groups C and D, which were given 5% niclosamide ethanolamine salt granules sprayed with drones and knapsack-type sprayers at a dose of 40 g/m², respectively. O. hupensis snails were surveyed before chemical treatment and 1, 3, 5, 7, 14 days post-treatment. The uniformity of chemicals was determined on the day of treatment, and the snail mortality, corrected snail mortality and density of living snails were calculated and compared among groups. The cost of molluscicides, labor fees of environmental cleaning and chemical treatment and cost of equipment were calculated, and the cost for a 1% reduction in the mean density of living snails was calculated 14 days post-treatment. Results The mean densities of living snails and mortality rates of snails were 1.82 to 2.85 snails/0.1 m² and 1.41% to 2.94% in groups A, B, C and D before chemical treatment, and the mortality and corrected mortality of snails were 55.75%, 49.32%, 85.94% and 87.50%, and 55.00%, 48.47%, 85.70% and 87.29% in groups A, B, C and D 14 days post-treatment. There was a significant difference in the mortality of snails among the four groups 14 days post-treatment (χ² = 38.735, P < 0.005), and there was a higher snail mortality in Group D than in Group A (χ² = 16.876, P < 0.005), and higher in Group C than in Group B (χ² = 20.508, P < 0.005). The density of living snails reduced by 55.00%, 43.94%, 90.43% and 87.14% 14 days post-treatment relative to pre-treatment in groups A, B, C and D, respectively. The test for uniformity of chemicals showed that the mean dose of molluscicides were 57.34, 55.21, 40.19 g/m² and 32.37 g/m² in groups A, B, C and D, respectively, and the minimal standard deviation (7.07) and coefficient of variation (0.18) of mean doses were seen in Group C. The costs for chemical treatment were 0.33 Yuan in groups A and B and 1.53 Yuan in groups C and D, respectively. The costs for a 1% reduction in the mean density of living snails were 17.82, 22.47, 50.73 Yuan and 52.56 Yuan in groups A, B, C, and D 14 days post-treatment, respectively. Conclusions The molluscicidal effect and cost of spraying 5% niclosamide ethanolamine salt granules with drones are comparable to manual spraying, and chemical treatment with drones are high in uniformity of molluscicides, time- and labor-saving, and feasible for applications in complex environments, which deserves widespread applications in the field of snail control.

Objective:To extract the early result of postoperative echocardiographic evaluation in patients underwent left ventricular assist device (LVAD) implantation, and to assess the efficacy of surgical treatment for end-staged heart failure.Methods:Between June 2019 and May 2023, the patients underwent left ventricular assist device implantation were enrolled in this study. Demographic baseline characteristics and perioperative echocardiographic parameters were collected and analyzed.Results:A total of 28 patients were included in the study. After LVAD implantation, the heart sizes of the patients obviously reduced and the left heart contractibility function improved. The right ventricular contractibility remained stable. The proportion of the patients with moderate to severe mitral regurgitation was significantly reduced, but patients with mild to moderate aortic insufficiency increased. No serious complications such as death, pericardial tamponade and thrombosis events were observed during the follow-up period.Conclusion:LVAD implantation improved the left cardiac function, while the right cardiac function remained stable. However, it should be paid attention that the aortic valve function was impaired after the surgery. Generally, the early results of LVAD implantation for the treatment of end-stage heart failure were satisfactory.

AIM:One of the important characteristics of the occurrence and development of triple-negative breast cancer(TNBC)is dysregulated cell metabolism.The aim of this study is to investigate the mechanism of pyruvate dehydrogenase E1 subunit alpha 1(PDHA1),a key enzyme component in aerobic glycolysis,affecting the proliferation,metastasis and invasion of TNBC.METHODS:(1)The expression levels of PDHA1 in breast cancer tissues and adja-cent tissues were analyzed by UALCAN database,KM-plotter database,Gene MANIA database and TCGA database.The expression of PDHA1 was compared according to tumor pathological stage,subtype classification and breast cancer bio-markers.The function of PDHA1 in TNBC was explored by gene enrichment analysis.(2)Immunohistochemistry assays were used to detect the expression of PDHA1 in human TNBC tissue and adjacent tissue samples.(3)Stable PDHA1 knockout and PDHA1 rescue TNBC MDA-MB-231 cells were constructed.The proliferation of MDA-MB-231 cells was de-tected by colony formation assay and cell counting assay.The regulatory effect of PDHA1 on the invasion and migration of MDA-MB-231 cells was detected by in vitro scratch assay and Transwell migration assay.RESULTS:Database analysis showed that the group with high PDHA1 expression in breast cancer had shorter survival and worse prognosis.In clinical specimens,the expression of PDHA1 in cancer tissues was higher than that in adjacent normal tissues.Knockout of PDHA1 inhibited the proliferation,metastasis,invasion and epithelial-mesenchymal transition of MDA-MB-231 cells.CONCLUSION:PDHA1 is overexpressed in TNBC,and it promotes cell proliferation and facilitates TNBC metastasis through the epithelial-mesenchymal transition pathway.

Objective:To study the clustered regularly interspaced short palindromic repeats (CRISPR) genotype of Yersinia pestis and its regional distribution characteristics in natural plague focus of Tibet Autonomous Region. Methods:A total of 125 representative Yersinia pestis strains isolated from natural plague focus in Tibet Autonomous Region at different times, regions, hosts and vectors were selected as experimental strains, and the phenol chloroform mixed extraction method was used to extract Yersinia pestis DNA. Three pairs of CRISPR primers (for YPa, YPb, YPc locus) were used to amplify the DNA of the experimental strains, and the CRISPR genotype of Yersinia pestis was determined by sequencing. Results:All 125 strains of Yersinia pestis had three CRISPR locus: YPa, YPb, and YPc. A total of 18 spacer were found, including 8 in YPa loci, 6 in YPb loci, and 4 in YPc loci. Two new types of spacers had been discovered, namely b52 and c14. CRISPR typing revealed 10 genotypes, including G1, G7, G7-b4''', G7-b52, G7-c2 -, G8, G22, G22-a4 -, G22-b4''', and G22-c14, of which 6 were newly discovered genotypes. Among the 125 experimental strains, G7 was the main genotype, accounting for 65.6% (82/125), which was distributed in 6 prefecture level citys and 1 region of Tibet Autonomous Region. Next were G22 and G7-c2 - genetypes, accounting for 14.4% (18/125) and 11.2% (14/125), respectively. G22 gene type was distributed in Nagqu, Changdu, Lhasa citys, and Ngari Prefecture, while G7-c2 - genetype was distributed in Shigatse and Shannan cities. Conclusion:The CRISPR locus of Yersinia pestis in natural plague focus of Tibet Autonomous Region is highly polymorphic, and the Yersinia pestis strains with different genotypes have obvious regional distribution characteristics.