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 explore the clinical efficacy of areola approach endoscopic thyroidectomy (AET) and gasless axillary approach endoscopic thyroidectomy (GAET) in the treatment of papillary thyroid carcinoma (PTC) patients.Methods:A total of 96 PTC patients from the Thyroid Surgery Department of Linyi People’s Hospital from May. 2019 to May. 2022 were selected and randomly divided into 48 patients using a random number table method. The areola group received AET, while the armpit group received GAET. The surgical situation, postoperative recovery, relevant biochemical indicators [white blood cell count (WBC), erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), parathyroid hormone (PTH), blood calcium] before and after surgery, postoperative pain level, discomfort level, neck function, and complications were compared between the two groups.Results:The surgical time and extubation time of the armpit group were (125.71±15.73) minutes and (3.12±0.53) days, respectively, which were shorter than those of the areola group (137.94±20.02) minutes and (3.48±0.46) days. The intraoperative bleeding volume was (14.19±4.16) mL, which was less than that of the areola group (22.65±7.39) mL, and the number of lymph nodes cleaned was 5.06±1.02, which was more than that of the areola group (4.23±1.14) ( P<0.05) ; there was no significant difference in postoperative drainage volume and hospital stay between the two groups ( P>0.05) ; Peripheral blood WBC in the armpit group on the 1st and 3rd day after surgery [ (5.69±0.15) ×10 9/L, (5.52±0.14) ] ×10 9/L, ESR [ (8.21±0.55) mm/h, (7.64±0.60) mm/h], CRP [ (10.06±1.78) ng/L, (8.93±1.33) ng/L] were lower than those in the areola group [ (5.83±0.21) ×10 9/L, (5.70±0.23) ×10 9/L, (8.87±0.74) mm/h, (8.19±0.68) mm/h, (12.45±1.90) ng/L, (10.45±1.50) ng/L] ( P<0.05). There was no significant difference in the levels of the above biochemical indicators 5 days after surgery ( P>0.05). There was no significant difference in peripheral blood PTH and calcium levels between the two groups on the 1st, 3rd, and 5th postoperative days ( P>0.05). The pain level [ (3.25±0.32) scores, (2.53±0.27) scores, (1.82±0.22) scores] and discomfort level [ (6.85±0.71) scores, (5.24±0.66) scores, (3.51±0.57) scores] in the axillary group were lower than those in the areola group [ (3.78±0.40) scores, (2.89±0.34) scores, (2.06±0.26) scores, (7.46±0.84) scores, (6.09±0.73) scores, (4.16±0.60) scores] on the 1st, 3rd, and 5th postoperative days ( P<0.05). The neck flexion, lateral flexion, and extension range of motion in the axillary group on the 3rd day after surgery were (33.16±3.09) °, (27.63±2.57) °, and (30.44 2.73) °, respectively, which were greater than those in the areola group[ (30.08±2.76) °, (25.14±2.30) °, and (27.98±2.54) °], and the swallowing disorder index was (30.16±4.97) points lower than the (34.83±4.13) points in the areola group ( P<0.05). The incidence of complications in the axillary group was 4.17% (2/48), lower than the 16.67% (8/48) in the areola group. Conclusion:GAET treatment for PTC patients can improve the effect of lymph node dissection, reduce the degree of surgical trauma, postoperative pain and discomfort, accelerate early postoperative recovery of neck function, and reduce complications.

Objective:To understand the epidemiological characteristics of human respiratory syncytial virus (HRSV) among acute respiratory infection (ARI) cases in 16 provinces of China from 2009 to 2023.Methods:The data of this study were collected from the ARI surveillance data from 16 provinces in China from 2009 to 2023, with a total of 28 278 ARI cases included in the study. The clinical specimens from ARI cases were screened for HRSV nucleic acid from 2009 to 2023, and differences in virus detection rates among cases of different age groups, regions, and months were analyzed.Results:A total of 28 278 ARI cases were enrolled from January 2009 to September 2023. The age of the cases ranged from<1 month to 112 years, and the age M ( Q1, Q3) was 3 years (1 year, 9 years). Among them, 3 062 cases were positive for HRSV nucleic acid, with a total detection rate of 10.83%. From 2009 to 2019, the detection rate of HRSV was 9.33%, and the virus was mainly prevalent in winter and spring. During the Corona Virus Disease 2019 (COVID-19) pandemic, the detection rate of HRSV fluctuated between 6.32% and 18.67%. There was no traditional winter epidemic peak of HRSV from the end of 2022 to the beginning of 2023, and an anti-seasonal epidemic of HRSV occurred from April to May 2023. About 87.95% (2 693/3 062) of positive cases were children under 5 years old, and the difference in the detection rate of HRSV among different age groups was statistically significant ( P<0.001), showing a decreasing trend of HRSV detection rate with the increase of age ( P<0.001). Among them, the HRSV detection rate (25.69%) was highest in children under 6 months. Compared with 2009-2019, the ranking of HRSV detection rates in different age groups changed from high to low between 2020 and 2023, with the age M (Q1, Q3) of HRSV positive cases increasing from 1 year (6 months, 3 years) to 2 years (11 months, 3 years). Conclusion:Through 15 years of continuous HRSV surveillance analysis, children under 5 years old, especially infants under 6 months old, are the main high-risk population for HRSV infection. During the COVID-19 pandemic, the prevalence and patterns of HRSV in China have changed.

Mitral annular calcification(MAC)is an age-related,chronic,degenerative change in localized fibrous support structures,and current research suggests that it is a process similar to the active onset of atherosclerosis and aortic valve calcification,both of which are accompanied by the deposition of lipoprotein(α)[Lp(α)]and the formation of chronic inflammatory foci.Among them,Lp(α)is the hot spot of research.In recent years,the relationship between Lp(α)and aortic valve calcification has received extensive attention.A large number of studies have demonstrated that elevated Lp(α)and its associated oxidized phospholipids(OxPL)can promote aortic valve calcification and stenosis through multiple calcium-regulated pathways,but the pathophysiological process of MAC is much more complex and unclear,and there has been a preliminary exploration of the relationship between Lp(α)and MAC.To make the current relationship between the two clearer,and thus provide new possibilities for preventing or delaying MAC,the paper will review the three aspects of MAC,Lp(α),and the research progress between the two.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

Objective:To investigate the application of cardiac magnetic resonance (CMR) quantitative techniques in evaluating myocardial involvement differences between new onset and longstanding systemic lupus erythematosus (SLE) patients.Methods:From August 2020 to April 2023, 14 new onset and 15 longstanding SLE patients treated at the First Affiliated Hospital of Anhui Medical University were prospectively included as the study group. Additionally, 18 age-, gender-, body surface area-, and body mass index-matched healthy volunteers were included as the control group. Clinical baseline data, electrocardiograms, and CMR results including left ventricular ejection fraction (LVEF), left ventricular end-systolic volume index (LVESVI), left ventricular end-diastolic volume index (LVEDVI), cardiac index (CI), left ventricular stroke volume index (LVSVI), left ventricular mass index (LVMI), myocardial strain, native T 1 values, and T 2 values were collected. One-way analysis of variance (ANOVA) or Kruskal-Wallis H test was used to compare the quantitative parameters among the three groups. Bonferroni correction was applied for pairwise group comparisons. Results:The native T 1 values [1 114.50 (1 089.33, 1 150.39) ms, 1 085.32 (1 051.31, 1 129.75) ms] and T 2 values [(55.9±3.4) ms, (53.3±1.5) ms] of new onset and longstanding SLE patients were higher than those of the healthy control group [native T 1 values 1052.62 (1024.75, 1077.59) ms, H=17.72, P<0.001; T 2 values (51.2±1.3) ms, F=18.70, P<0.001]. The T 2 values of the new onset SLE group was higher than that of the longstanding SLE group ( P<0.05). The LVEDVI[86.87 (80.80, 93.55) ml/m 2], LVSVI [54.63 (50.42, 59.03) ml/m 2], and LVMI [48.39 (41.65, 53.26) g/m 2] of the new onset SLE group were higher than those of the control group [LVEDVI: 71.11 (65.80, 81.28) ml/m 2, Z=3.02, P=0.003; LVSVI: 42.17 (40.36, 51.33) ml/m 2, Z=2.76, P=0.006; LVMI: 38.48 (35.22, 43.83) g/m 2, Z=3.10, P=0.002]. The LVEDVI and LVSVI of the new onset SLE group were also higher than those of the longstanding SLE group [LVEDVI: 73.30 (69.87, 84.71) ml/m 2, Z=1.97, P=0.048; LVSVI: 45.53 (42.28, 50.98) ml/m 2, Z=2.34, P=0.020]. Conclusion:Myocardial involvement is more severe in new onset SLE patients, whereas acute myocardial injury is alleviated in longstanding SLE patients. Therefore, early detection of cardiac involvement in SLE patients is crucial for improving prognosis.

Objective:To investigate the risk factors for postsurgical gastroparesis syndrome (PGS) after laparoscopic complete mesocolic excision (CME) for right colon cancer.Methods:The clinical data of 358 patients who underwent laparoscopic CME for right colon cancer were retrospectively analyzed. Univariate and multivariate logistics regression were used to analyze the independent risk factors for PGS.Results:PGS occurred in 19 patients (4.8%). Logistic regression analysis showed that preoperative anxiety score (PAS-7)≥14 ( OR=6.450, P=0.039), preoperative serum albumin<35 g/L ( OR=9.302, P=0.011), colon cancer at hepatic flexura ( OR=9.782, P=0.007), No.206 group lymph node dissection ( OR=8.317, P=0.004), and intra-abdominal infection ( OR=5.755, P=0.043) were independent risk factors for PGS. Conclusion:Patient's preoperative health status, tumor location, scope of lymph node dissection and postoperative intra-abdominal infection are all risk factors related to PGS after CME for right colon cancer.

Objective:To understand the epidemiological characteristics of human respiratory syncytial virus (HRSV) among acute respiratory infection (ARI) cases in 16 provinces of China from 2009 to 2023.Methods:The data of this study were collected from the ARI surveillance data from 16 provinces in China from 2009 to 2023, with a total of 28 278 ARI cases included in the study. The clinical specimens from ARI cases were screened for HRSV nucleic acid from 2009 to 2023, and differences in virus detection rates among cases of different age groups, regions, and months were analyzed.Results:A total of 28 278 ARI cases were enrolled from January 2009 to September 2023. The age of the cases ranged from<1 month to 112 years, and the age M ( Q1, Q3) was 3 years (1 year, 9 years). Among them, 3 062 cases were positive for HRSV nucleic acid, with a total detection rate of 10.83%. From 2009 to 2019, the detection rate of HRSV was 9.33%, and the virus was mainly prevalent in winter and spring. During the Corona Virus Disease 2019 (COVID-19) pandemic, the detection rate of HRSV fluctuated between 6.32% and 18.67%. There was no traditional winter epidemic peak of HRSV from the end of 2022 to the beginning of 2023, and an anti-seasonal epidemic of HRSV occurred from April to May 2023. About 87.95% (2 693/3 062) of positive cases were children under 5 years old, and the difference in the detection rate of HRSV among different age groups was statistically significant ( P<0.001), showing a decreasing trend of HRSV detection rate with the increase of age ( P<0.001). Among them, the HRSV detection rate (25.69%) was highest in children under 6 months. Compared with 2009-2019, the ranking of HRSV detection rates in different age groups changed from high to low between 2020 and 2023, with the age M (Q1, Q3) of HRSV positive cases increasing from 1 year (6 months, 3 years) to 2 years (11 months, 3 years). Conclusion:Through 15 years of continuous HRSV surveillance analysis, children under 5 years old, especially infants under 6 months old, are the main high-risk population for HRSV infection. During the COVID-19 pandemic, the prevalence and patterns of HRSV in China have changed.

Aim To investigate the mechanism of py-roptosis mediated by the NLRP3/caspase-1/GSDMD signaling pathway and the intervention effect of Radix Angelica Sinensis and Radix Astragalus ultrafiltration extract(RAS-RA)in radiation-induced pulmonary fi-brosis.Methods Fifty Wistar rats were randomly di-vided into five groups,with ten rats in each group.Ex-cept for the blank control group,all other groups of rats were anesthetized and received a single dose of 40 Gy X-ray local chest radiation to establish a radiation-in-duced pulmonary fibrosis rat model.After radiation,the rats in the RAS-RA intervention groups were orally administered doses of 0.12,0.24 and 0.48 g·kg-1 once a day for 30 days.The average weight and lung index of the rats were observed after 30 days of contin-uous administration.Hydroxyproline(HYP)content in lung tissue was determined by hydrolysis method.The levels of IL-18 and IL-1 β in serum were detected by ELISA.Lung tissue pathological changes were ob-served by HE and Masson staining.Ultrastructural changes in lung tissue were observed by transmission e-lectron microscopy.The expression levels of NLRP3/caspase-1/GSDMD pyroptosis pathway-related proteins and fibrosis-related proteins in lung tissue were detec-ted by Western blot.Results Compared with the blank group,the HYP content in lung tissue and the levels of IL-18 and IL-1 β in serum significantly in-creased in the model group(P＜0.01).HE and Mas-son staining showed inflammatory cell infiltration and collagen fiber deposition.Transmission electron mi-croscopy revealed increased damaged mitochondria,disordered arrangement,irregular morphology,shallow matrix,outer membrane rupture,mostly fractured and shortened cristae,mild expansion,increased electron density of individual mitochondrial matrix,mild sparse structure of lamellar bodies,partial disorder,unclear organelles,and characteristic changes of pyroptosis.Western blot analysis showed increased expression of caspase-1,GSDMD,NLRP3,CoL-Ⅰ,α-SMA,and CoL-Ⅲ proteins(P＜0.01).Compared with the model group,the RAS-RA intervention group showed signifi-cant improvement in body mass index and lung index of rats,decreased levels of IL-18 and IL-1 β inflammatory factors(P＜0.01),improved mitochondrial structure,reduced degree of fibrosis,and decreased expression of caspase-1,GSDMD,NLRP3,COL-Ⅰ,COL-Ⅲ,and α-SMA proteins in lung tissue(P＜0.01).Conclusion RAS-RA has an inhibitory effect on radiation-in-duced pulmonary fibrosis,and its mechanism may be related to the inhibition of pyroptosis through the regu-lation of the NLRP3/caspase-1/GSDMD signaling pathway.

Purpose To explore the influence of different spin-locking frequencies on T1ρ values based on a 3.0T MR system.Materials and Methods Thirty-eight healthy adult volunteers underwent cardiac magnetic resonance imaging at the First Affiliated Hospital of Anhui Medical University from July to September 2023.T1ρ mapping and short-axis cine imaging with steady-state free precession sequences were performed with 3.0T MR system.T1ρ mapping sequence in three short-axis slices with three spin-lock frequencies at the amplitude of 5 Hz,300 Hz,400 Hz,and 500 Hz was scanned,respectively.T1ρ relaxation times and myocardial fibrosis index were quantified for each slice and each myocardial segment,the difference in T1ρ of different spin-locking frequencies and myocardial fibrosis index was analyzed using one-way repeated-measures analysis of variance method.Results T1ρ of 5 Hz,300 Hz,400 Hz,and 500 Hz were(33.9±2.8)ms,(43.4±2.1)ms,(45.4±2.6)ms and(46.5±2.4)ms,respectively;and T1ρ values showed a significant progressive increase from the low spin-lock frequency to the high spin-lock frequency of the heart(300 Hz vs.400 Hz:P<0.001;300 Hz vs.500 Hz:P<0.001;400 Hz vs.500 Hz:P=0.043).In addition,the measured myocardial fibrosis index at 300 Hz,400 Hz and 500 Hz were(9.4±2.2)ms,(11.3±2.9)ms and(12.6±2.7)ms,respectively.Statistical analysis underscored significant variations among these measurements(300 Hz vs.400 Hz:P<0.001;300 Hz vs.500 Hz:P<0.001;400 Hz vs.500 Hz:P=0.033).Conclusion In this prospective study,myocardial T1ρ values for the specific cardiac magnetic resonance setting are provided,and we found that spin-lock frequency can affect the T1ρ values.