The primary role of transfer RNA(tRNA)is to connect a specific amino acid to its 3' end, use its anticodon to match the codon on messenger RNA(mRNA), and deliver the corresponding amino acid to the ribosome for protein synthesis.tRNA exists in two forms: precursor tRNA and mature tRNA.When acted upon by enzymes like Dicer, elaC ribonuclease Z 2(ELAC2), angiopoietin(ANG), and other ribonucleases, tRNA is broken down into tRNA-derived stress-induced RNA(tiRNA)and tRNA-derived fragments(tRF).Recent advancements in RNA sequencing technology have led to increased interest in tiRNA and tRF, shedding light on their roles in various physiological and pathological processes.tRNA-derived small molecules(tsRNA)function similarly to microRNA(miRNA), influencing gene expression and protein synthesis.They show promise as diagnostic markers and potential therapeutic targets for age-related diseases.This review offers a comprehensive analysis of tsRNA classification, biological functions, research advancements, and clinical applications in age-related conditions.

Objective:To investigate the clinical application effect of Zishen Yutai Pill in patients with repeated implantation failure (RIF) undergoing frozen-thawed embryo transfer (FET) cycles.Methods:A retrospective case-control study was conducted, selecting 744 cycles of patients with RIF at the Department of Female Reproductive Medicine,State Key Laboratory of Reproductive Medicine and Offspring Health, Center for Reproductive Medicine, Institute of Women, Children and Reproductive Health, Shandong University from October 2017 to April 2023. The patients were divided into experimental group (treated with Zishen Yutai Pill, n=279) and control group (treated without Zishen Yutai Pill, n=465) based on whether Zishen Yutai Pill was added to luteal support. The pregnancy outcomes between the two groups were compared. Based on the different endometrial preparation protocols in the FET cycles, the patients were used down-regulation protocol ( n=271) or non-down-regulation protocol ( n=473). The pregnancy outcomes of the two groups in each protocol were compared. Results:There were no statistically significant differences between the two groups in terms of biochemical pregnancy rate, clinical pregnancy rate, embryo implantation rate, early miscarriage rate, late miscarriage rate, and live birth rate (all P>0.05). However, the biochemical pregnancy rate [69.0% (58/84)], clinical pregnancy rate [59.5% (50/84)], and embryo implantation rate [59.4% (57/96)] in the experimental group of the down-regulated protocol were significantly higher than those in control group [56.1% (105/187), P=0.045; 46.5% (87/187), P=0.048; 44.9% (92/205), P=0.019], with statistically significant differences. In the non-down-regulated protocol, there were no statistically significant differences in pregnancy outcomes between the two groups (all P>0.05). Conclusion:In the FET down-regulated protocol, Zishen Yutai Pill can significantly improve the clinical pregnancy rate and the embryo implantation rate in patients with RIF, thereby improving pregnancy outcomes.

The primary role of transfer RNA(tRNA)is to connect a specific amino acid to its 3' end, use its anticodon to match the codon on messenger RNA(mRNA), and deliver the corresponding amino acid to the ribosome for protein synthesis.tRNA exists in two forms: precursor tRNA and mature tRNA.When acted upon by enzymes like Dicer, elaC ribonuclease Z 2(ELAC2), angiopoietin(ANG), and other ribonucleases, tRNA is broken down into tRNA-derived stress-induced RNA(tiRNA)and tRNA-derived fragments(tRF).Recent advancements in RNA sequencing technology have led to increased interest in tiRNA and tRF, shedding light on their roles in various physiological and pathological processes.tRNA-derived small molecules(tsRNA)function similarly to microRNA(miRNA), influencing gene expression and protein synthesis.They show promise as diagnostic markers and potential therapeutic targets for age-related diseases.This review offers a comprehensive analysis of tsRNA classification, biological functions, research advancements, and clinical applications in age-related conditions.

Objective:To investigate the risk factors of pediatric sepsis-induced coagulopathy（pSIC），and to construct a nomogram prediction model for early prediction of pSIC.Methods:Using a cross-sectional retrospective cohort design，children with sepsis who were hospitalized in PICU of the Second People's Hospital of Liaocheng Subsidiary to Shandong First Medical University from January 2017 to December 2023 were selected as the study objects，and the diagnosis of sepsis met the diagnostic criteria for childhood sepsis of the 2015 edition.According to the diagnostic criteria of pSIC，the children with sepsis were divided into common sepsis group and pSIC group.The clinical data of both groups were compared，such as general condition，inflammatory indicators，coagulation indicators，sequential organ failure assessment（pSOFA），pSIC score，PICU duration，etc.The risk factors of pSIC were initially screened by Lasso regression analysis，and the independent risk factors were screened by multivariate Logistic regression analysis.R software was used to construct the risk prediction nomogram and evaluate the model.Results:A total of 150 children with sepsis were included in the study，including 121 in the common sepsis group and 29 in the pSIC group.Lasso regression and multivariate Logistic regression analysis showed that pSOFA，prothrombin time（PT），alanine aminotransferase（ALT），blood urea nitrogen（BUN），mean platelet volume/platelet（MPV/PLT）and pediatric critical illness score(PCIS) were independent risk factors for pSIC（all P<0.05）.Since the sources of the pSIC score overlaped with those of pSOFA and PT, only four indicators including ALT，BUN，MPV/PLT and PCIS were used to construct a nomogram model for predicting pSIC.The consistency index of the nomogram model was 0.98，and the area under the receiver operating characteristic curve was 0.975（95% CI 0.952-0.999）.The calibration curve was shown as a straight line with slope close to 1，indicating that the nomogram model had good accuracy in predicting pSIC.The clinical decision curve indicated that the nomogram model had good clinical applicability. Conclusion:pSOFA，PT，ALT，BUN，MPV/PLT and PCIS were all independent risk factors for pSIC.The risk prediction nomogram model of pSIC based on ALT，BUN，MPV/PLT and PCIS can predict the occurrence of pSIC，and provide reference for early clinical recognition and intervention.

Objective:To investigate the risk factors of pediatric sepsis-induced coagulopathy（pSIC），and to construct a nomogram prediction model for early prediction of pSIC.Methods:Using a cross-sectional retrospective cohort design，children with sepsis who were hospitalized in PICU of the Second People's Hospital of Liaocheng Subsidiary to Shandong First Medical University from January 2017 to December 2023 were selected as the study objects，and the diagnosis of sepsis met the diagnostic criteria for childhood sepsis of the 2015 edition.According to the diagnostic criteria of pSIC，the children with sepsis were divided into common sepsis group and pSIC group.The clinical data of both groups were compared，such as general condition，inflammatory indicators，coagulation indicators，sequential organ failure assessment（pSOFA），pSIC score，PICU duration，etc.The risk factors of pSIC were initially screened by Lasso regression analysis，and the independent risk factors were screened by multivariate Logistic regression analysis.R software was used to construct the risk prediction nomogram and evaluate the model.Results:A total of 150 children with sepsis were included in the study，including 121 in the common sepsis group and 29 in the pSIC group.Lasso regression and multivariate Logistic regression analysis showed that pSOFA，prothrombin time（PT），alanine aminotransferase（ALT），blood urea nitrogen（BUN），mean platelet volume/platelet（MPV/PLT）and pediatric critical illness score(PCIS) were independent risk factors for pSIC（all P<0.05）.Since the sources of the pSIC score overlaped with those of pSOFA and PT, only four indicators including ALT，BUN，MPV/PLT and PCIS were used to construct a nomogram model for predicting pSIC.The consistency index of the nomogram model was 0.98，and the area under the receiver operating characteristic curve was 0.975（95% CI 0.952-0.999）.The calibration curve was shown as a straight line with slope close to 1，indicating that the nomogram model had good accuracy in predicting pSIC.The clinical decision curve indicated that the nomogram model had good clinical applicability. Conclusion:pSOFA，PT，ALT，BUN，MPV/PLT and PCIS were all independent risk factors for pSIC.The risk prediction nomogram model of pSIC based on ALT，BUN，MPV/PLT and PCIS can predict the occurrence of pSIC，and provide reference for early clinical recognition and intervention.

Objective:To investigate the clinical application effect of Zishen Yutai Pill in patients with repeated implantation failure (RIF) undergoing frozen-thawed embryo transfer (FET) cycles.Methods:A retrospective case-control study was conducted, selecting 744 cycles of patients with RIF at the Department of Female Reproductive Medicine,State Key Laboratory of Reproductive Medicine and Offspring Health, Center for Reproductive Medicine, Institute of Women, Children and Reproductive Health, Shandong University from October 2017 to April 2023. The patients were divided into experimental group (treated with Zishen Yutai Pill, n=279) and control group (treated without Zishen Yutai Pill, n=465) based on whether Zishen Yutai Pill was added to luteal support. The pregnancy outcomes between the two groups were compared. Based on the different endometrial preparation protocols in the FET cycles, the patients were used down-regulation protocol ( n=271) or non-down-regulation protocol ( n=473). The pregnancy outcomes of the two groups in each protocol were compared. Results:There were no statistically significant differences between the two groups in terms of biochemical pregnancy rate, clinical pregnancy rate, embryo implantation rate, early miscarriage rate, late miscarriage rate, and live birth rate (all P>0.05). However, the biochemical pregnancy rate [69.0% (58/84)], clinical pregnancy rate [59.5% (50/84)], and embryo implantation rate [59.4% (57/96)] in the experimental group of the down-regulated protocol were significantly higher than those in control group [56.1% (105/187), P=0.045; 46.5% (87/187), P=0.048; 44.9% (92/205), P=0.019], with statistically significant differences. In the non-down-regulated protocol, there were no statistically significant differences in pregnancy outcomes between the two groups (all P>0.05). Conclusion:In the FET down-regulated protocol, Zishen Yutai Pill can significantly improve the clinical pregnancy rate and the embryo implantation rate in patients with RIF, thereby improving pregnancy outcomes.

Diabetes mellitus(DM)stands as a chronic metabolic ailment predominantly characterized by elevated blood glucose lev-els,stemming from either a resistance to insulin or aberrations in insulin secretion.The ensuing persistent hyperglycemia,a direct con-sequence of pancreatic β-cell devastation,acts as a catalyst for a myriad of complications,inclusive of extensive neuropathies.The dis-ease has substantial prevalence and mortality rates,underscoring the gravity of its impact on public health.Dental pulp stem cells(DPSCs)are readily obtainable,and they exhibit a profound capacity for self-renewal,multi-lineage differentiation,and vigorous pro-liferation.Remarkably,DPSCs can differentiate into pancreatic β-cells,subsequently participate in insulin secretion and play a pivotal role in immune modulation.This has achieved notable advancements in the therapeutic domain,particularly in the treatment of chronic diseases.Furthermore,DPSCs harbor the potential to mitigate symptoms in patients afflicted with type 1 diabetes.They navigate this therapeutic pathway through mechanisms that involve suppressing autoimmunity,modulating inflammatory responses,and counteracting oxidative stress.This article meticulously reviews the biological characteristics inherent to DPSCs and explores their multifaceted thera-peutic potential in addressing DM and its associated complications.Through this endeavor,the article aims to contribute to the refine-ment and enhancement of DM management strategies.

Objective To construct and identify the induced pluripotent stem cells(iPSCs)derived from peripheral blood mononuclear cells(PBMCs)of a patient with facioscapulohumeral muscular dystrophy(FSHD),initially explore their differentiation ability into skeletal muscle cells,and evaluate the feasibility of using this cell model for disease mechanism research.Methods The PBMCs from one FSHD patient were collected and transfected with Sendai virus containing four reprogramming transcription factors,including OCT4,SOX2,KLF4 and c-MYC,so as to obtain the iPSCs from the FSHD patient.Then,the iPSCs were induced to differentiate into skeletal muscle cells.The characteristics of the iPSCs and skeletal muscle cells were evaluated by the optical genome mapping technolo-gy,karyotyping analysis,immunofluorescence staining,and real-time fluorescence quantitative PCR.Results The iPSCs from the FSHD patient were successfully obtained,which could express the markers of iPSCs.The karyotype and D4Z4 repeat unit of the iPSCs were consistent with that of the patient.The iPSCs could be induced to differentiate into skeletal muscle cells in vitro,which expressed the pathogenic gene DUX4 and its regulatory genes.Conclusion The PBMCs from one FSHD patient can be reprogrammed into iPSCs,which can be differentiated into disease-related myogenic progenitor cells and myotubes.This provides a useful cell model for in vitro studies of the pathogenesis of FSHD and a tool for the effective treatment of FSHD.

Phytochemical investigation on the ethanol extract of a well-known medicinal herb Leonurus japonicus, led to the separation of 18 labdane type diterpenoids (1-18). Through comprehensive spectroscopic analyses and quantum chemical calculations, these compounds were structurally characterized as six new interesting 5,5,5-di-spirocyclic ones (1-6), two new (7 and 8) and six known (13-18) interesting 6,5,5-di-spirocyclic ones, a new rare 14,15-dinor derivative (9), and three new ones incorporating a γ-lactone unit (10-12). An in vitro neuroprotective assay in RSC96 cells revealed that compounds 7 and 12 exhibited neuroprotective activity in a concentration-dependent way, comparable to the reference drug N-acetylcysteine.
Magnetic Resonance Spectroscopy ; Leonurus/chemistry* ; Plants, Medicinal ; Diterpenes/chemistry* ; Plant Components, Aerial ; Molecular Structure

Objective: To explore the association between exposure to bedroom night light during sleep and emotional symptoms in children and provide a scientific basis for subsequent effective prevention and intervention. Methods: In December 2021, 1 926 students from grades 4 to 6 were recruited to conduct a student questionnaire survey in two primary schools in Tianchang of Chuzhou City, Anhui Province. The data, including general demographic information, use of night lights and curtains, emotional symptoms, and other information, was collected. Binary Logistic regression analysis was used to examine the correlation between night light use and children s emotional symptoms. Results: The reporting rates of depression symptoms, generalized anxiety symptoms, social phobia, and obsessive compulsive symptoms of the children were 2.5%, 2.6%, 3.4% and 2.5%, respectively. About 12.6% of children often sleep with a night light on, and 22.0% of children did not close the curtains. Binary Logistic regression analysis revealed that frequent sleep with night lights was associated with an increased risk of depression symptoms( OR=2.29, 95%CI = 1.04- 5.03), social phobia ( OR=1.93, 95%CI =1.02-3.64) and obsessivecompulsive symptoms ( OR=3.44, 95%CI =1.72-6.88) in children( P < 0.05). Conclusion There is a positive correlation between bedroom night light exposure during sleep and the detection rate of children s emotional symptoms. The attention should be paid to bedroom light environment of children during sleep to reduce the adverse effects of night light exposure on the mental health.