Objective To investigate the efeects of microRNA(miR)-103a-3p regulates tumor protein 53-regulated inhibitor of apoptosis 1(TRIAP1)on osteoblast differentiation and bone mass in ovariectomized mice.Methods MC3T3-E1 cells were divided into normal group,miR-103a-3p-NC group,miR-103a-3p mimic group,miR-103a-3p mimic+TRIAP1-NC group,miR-103a-3p mimic+TRIAP1 mimic group.mRNA expression of miR-103a-3p,TRIAP1,P53 were detected by Real-time PCR;Cell proliferation and apoptosis were detected by MTT test and flow cytometry;cytoskeleton and mineralization of cells were detected by F-actin immunofluorescence staining and alizarin staining;alkaline phosphatase(ALP)activity was detected by ELISA.24 female mice were divided into sham group,osteoporosis(OP)group,miR-103a-3p antagonist-NC group,miR-103a-3p antagonist group(six in each group),extract bilateral ovaries to establish an OP model,sham group mice only isolated fat around ovarian tissue.mRNA expression of miR-103a-3p,TRIAP1,P53,ALP,osteocalcin(OCN),osteopontin(OPN)of bone tissue were detected;microCT detect bone mineral density(BMD),bone mineral content(BMC);haematoxylin eosin staining was used to observe pathological changes of bone tissue.Results After miR-103a-3p mimic was transfected into cells,the miR-103a-3p and P53 expression increased,TRIAP1 expression decreased,cell proliferation decreased,apoptosis increased,F-actin expression decreased,the number of calcium nodules decreased,and ALP enzyme activity decreased(P<0.01);however,after TRIAP1 mimic was additionally transfected into cells,the above result caused by miR-103a-3p mimics were significantly reversed(P<0.01).In OP group,the miR-103a-3p and P53 expression in bone tissue increased,the TRIAP1,ALP,OCN and OPN expression decreased,BMD and BMC were decreased,and bone tissue construct was damaged(P<0.05);in miR-103a-3p antagonist group,the miR-103a-3p and P53 expression in bone tissue decreased,TRIAP1,ALP,OCN,OPN expression increased,BMD and BMC increased,and bone tissue construct was improved(P<0.05).Conclusion MiRNA-103a-3p mediate TRIAP1/P53 to inhibit proliferation and mineralization of osteoblast,while miR-103a-3p antagonistic treatment reduce bone loss in OP mice.

Objective To study the pharmacokinetic characteristics of buspirone hydrochloride tablets in healthy adult populations under conditions of fasting and postprandial administration.Methods A single-center,randomized,three-cycle partially repeated crossover trial design was adopted,and 36 subjects were enrolled on fasting/postprandial,one tablet of the test preparation was taken in one cycle,one tablet of reference preparation(5 mg of buspirone tablets)was taken once in each of 2 cycles,the drug concentration of buspirone in plasma was determined by liquid chromatography-tandem mass spectrometry,and the pharmacokinetic parameters were calculated by WinNonlin software.Results Main pharmacokinetics of buspirone after oral administration of test and reference preparations in fasting group,the Cmax was(285.72±286.08)and(308.94±341.03)pg·mL-1;AUC0-t were(577.09±491.10)and(618.62±642.56)pg·mL-1·h;AUC0-∞ were(586.85±510.04)and(655.92±687.95)pg·mL-1·h;tmax was 0.75(0.33-4.00)and 0.75(0.33-1.75)h.Main pharmacokinetics of buspirone after oral administration of test and reference preparations in the postprandial group,the Cmax were(676.36±603.64)and(760.33±610.27)pg·mL-1;AUC0-t were(1 755.58±1 001.69)and(1 743.00±1 073.33)pg·h·mL-1;AUC0-∞ were(1 839.97±1 044.60)and(1 818.00±1 106.95)pg·mL-1·h;tmax was 1.25(0.25-4.50)and 1.00(0.25-3.50)h.The 90％confidence intervals of the AUC0-t and AUC0-∞ geometric mean ratios of the test preparation and the reference preparation in the fasting test and the postprandial test all fell between 80.00％and 125.00％,and the 95％upper confidence limit of of Cmax was ≤0 and geometric mean ratios point estimates fall between 80.00％and 125.00％.Conclusion Two kinds of buspirone hydrochloride are bioequivalent in Chinese healthy adult subject.

Objective:To investigate the endoscopic combined serological diagnosis strategy for G1 and G2 gastric neuroendocrine neoplasms (G-NENs), and to evaluate the safety, short-term, and long-term efficacy of two endoscopic treatment procedures: endoscopic mucosal resection (EMR) and endoscopic submucosal dissection (ESD).Methods:This study retrospectively analyzed the clinical data of 100 consecutive patients with G-NENs who were hospitalized at the Cancer Hospital of the Chinese Academy of Medical Sciences from January 2011 to October 2023. These patients underwent endoscopic treatment, and propensity score matching (PSM) was used to compare clinicopathological characteristics, as well as short-term and long-term efficacy of lesions in the EMR group and ESD group before and after treatment.Results:Among the 100 patients with G-NENs, the median age was 54 years old. Before surgery, 29 cases underwent endoscopic combined serological examination, and 24 of them (82.2%) had abnormally elevated plasma chromogranin A. The combined diagnostic strategy for autoimmune atrophic gastritis (AIG) achieved a diagnostic accuracy of 100%(22/22). A total of 235 G-NEN lesions were included, with 84 in the ESD group and 151 in the EMR group. The median size of the lesions in the ESD group (5.0 mm) was significantly larger than that in the EMR group (2.0 mm, P＜0.001). Additionally, the ESD group had significantly more lesions with pathological grade G2[23.8%(20/84) vs. 1.3%(2/151), P＜0.001], infiltration depth reaching the submucosal layer [78.6%(66/84) vs. 51.0%(77/151), P＜0.001], and more T2 stage compared to the EMR group[15.5%(13/84) vs. 0.7%(1/151), P＜0.001]. After PSM, 49 pairs of lesions were successfully matched between the two groups. Following PSM, there were no significant differences in the en bloc resection rate [100.0%(49/49) vs. 100.0%(49/49)], complete resection rate [93.9%(46/49) vs. 100.0%(49/49)], and complication rate [0(0/49) vs. 4.1%(2/49)] between the two groups. During the follow-up period, no recurrence or distant metastasis was observed in any of the lesions in both groups. Conclusions:The combination of endoscopy and serology diagnostic strategy has the potential to enhance the accuracy of diagnosing G1 and G2 stage G-NENs and their background mucosa. Endoscopic resection surgery (EMR, ESD) is a proven and safe treatment approach for G1 and G2 stage G-NENs.

Objectives:To develop and validate predictive models for esophageal squamous cell carcinoma (ESCC) using circulating cell-free DNA (cfDNA) terminal motif analysis. The goal was to improve the non-invasive detection of early-stage ESCC and its precancerous lesions.Methods:Between August 2021 and November 2022, we prospectively collected plasma samples from 448 individuals at the Department of Endoscopy, Cancer Hospital, Chinese Academy of Medical Sciences for cfDNA extraction, library construction, and sequencing. We analyzed 201 cases of ESCC, 46 high-grade intraepithelial neoplasia (HGIN), 46 low-grade intraepithelial neoplasia (LGIN), 176 benign esophageal lesions, and 29 healthy controls. Participants, including ESCC patients and control subjects, were randomly assigned to a training set ( n=284) and a validation set ( n=122). The training cohort underwent z-score normalization of cfDNA terminal motif matrices and a selection of distinctive features differentiated ESCC cases from controls. The random forest classifier, Motif-1 (M1), was then developed through principal component analysis, ten-fold cross-validation, and recursive feature elimination. M1's efficacy was then validated in the validation and precancerous lesion sets. Subsequently, individuals with precancerous lesions were included in the dataset and participants were randomly allocated to newly formed training ( n=243), validation ( n=105), and test ( n=150) cohorts. Using the same procedure as M1, we trained the Motif-2 (M2) random forest model with the training cohort. The M2 model's accuracy was then confirmed in the validation cohort to establish the optimal threshold and further tested by performing validation in the test cohort. Results:We developed two cfDNA terminal motif-based predictive models for ESCC and associated precancerous conditions. The first model, M1, achieved a sensitivity of 90.0%, a specificity of 77.4%, and an area under the curve (AUC) of 0.884 in the validation cohort. For LGIN, HGIN, and T1aN0 stage ESCC, M1's sensitivities were 76.1%, 80.4%, and 91.2% respectively. Notably, the sensitivity for jointly predicting HGIN and T1aN0 ESCC reached 85.0%. Both the predictive accuracy and sensitivity increased in line with the cancer's progression ( P＜0.001). The second model, M2, exhibited a sensitivity of 87.5%, a specificity of 77.4%, and an AUC of 0.857 in the test cohort. M2's sensitivities for detecting precancerous lesions and ESCC were 80.0% and 89.7%, respectively, and it showed a combined sensitivity of 89.4% for HGIN and T1aN0 stage ESCC. Conclusions:Two predictive models based on cfDNA terminal motif analysis for ESCC and its precancerous lesions are developed. They both show high sensitivity and specificity in identifying ESCC and its precancerous stages, indicating its potential for early ESCC detection.

Osteocytes are the most abundant and long-lived cells in bone,serving as primary regulators of bone remodeling.Besides playing critical roles in endocrine regulation and calcium-phosphate metabolism,osteocytes are primary responders to mechanical stimuli,perceiving and responding to these stimuli directly and indirectly.The process of mechanotransduction in osteocytes is a complex and finely tuned regulation involving interactions between the cell and its surrounding environment,neighboring cells,and various mechanosensors within the cells with distinct functions.The known major mechanosensors in osteocytes include primary cilia,Piezo ion channels,integrins,extracellular matrix,and connexin-based intercellular junctions.These mechanosensors play crucial roles in osteocytes,perceiving and transducing mechanical signals to regulate bone homeostasis.This review aims to provide a systematic introduction to these five mechanosensors,offering new perspectives and insights into understanding how osteocytes respond to mechanical stimuli and maintain bone tissue homeostasis.

Lower-cost genotyping technology has promoted the generation of large genetic datasets with the evolving next-generation sequencing technology. The emergence of genome-wide association studies (GWAS) has facilitated researchers’ understanding of common complex diseases. GWAS refers to finding the sequence variations present in the human genome and screening out disease-related single nucleotide polymorphisms (SNPs). These SNPs are considered as the basis for assessing the stability of complex diseases. However, a single variation is not sufficient to assess an individual’s risk of disease. Polygenic risk score (PRS) is an emerging genetic data analysis method for quantitatively estimating an individual’s genetic risk for complex diseases by comprehensively considering multiple genetic variation sites. A single-value estimate of an individual’s genetic risk for a certain phenotype can be calculated as the cumulative impact of multiple genetic variants by building a PRS model. The finally expected risk score is weighted by the strength and direction of association of each SNP with the phenotype based on the number of alleles carried by each SNP. With the continuous development of various PRS calculation methods and the constant accumulation of genomic data, PRS has received widespread attention in the field of genetics. So far, quite a few studies at home and abroad have shown that PRS is valuable in risk prediction of different types of human traits or complex diseases, and its effectiveness has been further verified in clinical applications. At present, many studies have established PRS models based on GWAS summary statistics to quantify the genetic risk of susceptibility loci and clinical characteristics on diseases such as lung cancer, breast cancer, coronary heart disease, diabetes and Alzheimer’s disease. The disease-susceptible populations can be recognized through comparing the relative risk and absolute risk of the disease in different risk groups according to the population risk stratification results. Additionally, individual-level genotype data and omics data can also be used as data sources for PRS analysis research, especially the latter can dynamically reflect the short-term or long-term effects of environmental factors on human gene expression, and has potential application value in building early warning models to assess health risks. Since the calculation of PRS involves a large amount of genomic data analysis, there are big differences in the methods for data selection, model building and validation. Different PRS construction methods and software have different performances in disease risk prediction, and even the performance of same algorithm varies across diseases. It is worth noting that the PRS model often needs to be re-evaluated and verified for different groups of people, because PRS is affected by race and region. This review combines currently published PRS-related research and algorithms to describe the basic principles of PRS, compares their construction and verification methods, and discusses their applications and prospects. As a powerful genetic risk assessment tool, PRS has great potential in analyzing the genetic code of complex diseases and achieving precise diagnosis and personalized treatment.

Objective:To observe the effects of three different blood purification modes on nutritional status and insulin resistance in patients with end-stage diabetes nephropathy (DN).Methods:From January 2019 to January 2022, 150 patients with end-stage DN admitted to the First Affiliated Hospital of Xinjiang Medical University were retrospectively selected. All patients were divided into three groups according the treatment methods, the group A was treated with high-throughput hemodialysis, the group B was treated with sequential hemodialysis, the group C was treated with hemodialysis combined with hemoperfusion, with 50 patients in each group. After 3 months of treatment with different blood purification modes, the nutritional status, insulin resistance, inflammatory factors and adverse reactions of the patients in the three groups were evaluated.Results:After treatment, the levels of serum prealbumin (PA) and albumin (ALB) in the group C were higher than those in the group A and group B: (328.19 ± 34.82) mg/L vs. (241.87 ± 23.75), (246.35 ± 24.06) mg/L; (36.82 ± 9.51) g/L vs. (30.07 ± 8.73), (29.54 ± 8.14) g/L, there were statistical differences ( P<0.05). After treatment, the levels of fasting insulin (FINS), fasting blood glucose (FBG) and homeostatic model assessment insulin resistance index (HOMA-IR) in the group C were lower than those in the group A and group B: (6.82 ± 1.46) mU/L vs. (8.79 ± 1.1), (8.34 ± 1.08) mU/L; (7.57 ± 1.13) mmol/L vs. (9.51 ± 1.25), (9.28 ± 1.21) mmol/L; 2.29 ± 0.75 vs. 4.11 ± 0.84, 3.81 ± 0.79, there were statistical differences ( P<0.05). After treatment, the levels of interleukin-6 (IL-6) and high-sensitivity C-reactive protein (hs-CRP) in the group C were lower than those in the group A and group B: (9.28 ± 2.96) μg/L vs. (16.34 ± 3.13), (17.52 ± 4.08) μg/L; (5.17 ± 1.1) mg/L vs. (7.81 ± 1.25), (7.36 ± 1.21)mg/L; (36.06 ± 4.7) ng/L vs. (42.07 ± 5.84), (43.23 ± 5.79) ng/L, there were statistical differences ( P<0.05). After treatment, the rate of adverse reactions in the group A, group B and group C was 20.00%(10/50), 16.00%(8/50), 4.00%(2/50), there was statistical difference ( χ2 = 6.31, P = 0.043). Conclusions:Compared with high-throughput hemodialysis and sequential hemodialysis, hemodialysis combined with hemoperfusion can effectively improve the nutritional status of patients, reduce their blood sugar level and insulin resistance, reduce their micro inflammatory state, and reduce adverse reactions.

The multiple systemic symptoms appearing during the convalescence of novel coronavirus infection(COVID-19)are called long-term symptoms after COVID-19,also named as long COVID.Traditional Chinese medicine(TCM)has unique advantages in the treatment of long COVID.In the view of Professor ZHANG Zhong-De,the novel coronavirus infection belongs to the category of damp-toxin pestilence in TCM.During the convalescence of novel coronavirus infection,the damp-toxin pathogen causes the dysfunction of qi,blood,yin and yang of zang-fu organs,and then results in the consumption of yang qi or the depletion of fluid and blood.Damp-turbidity obstructing qi movement and entering collaterals and then developing into blood stasis is the key pathogenesis of long COVID.Therefore,the therapeutic principle of harmonizing yin,yang,qi and blood of the five zang-organs is proposed,and the methods for transporting and transforming damp-toxin and phlegm-turbidity,regulating qi,activating blood and removing stasis should be adopted.According to the exuberance or decline of qi,blood and body fluid,and yin and yang of the five zang-organs,the Fuzheng Series Formulas(series formulas for supporting healthy qi)were recommended for the specific syndrome types:Fuzheng Shengbai Formula can be used for the syndrome of deficiency of original qi;Fuzheng Yifei Formula can be used for lung-spleen-kidney deficiency syndrome;Fuzheng Anshen Formula can be used for the syndrome of liver qi stagnation and heart-spleen deficiency.During the treatment,Professor ZHANG Zhong-De makes the modification of drugs indicated for the retention sites of damp-toxin and turbid qi,and addresses the importance of spleen and stomach in the whole treatment process by protecting spleen and stomach,so as to promote the rehabilitation of patients after novel coronavirus infection and improve their quality of life.

Objective To investigate the risk factors for bronchopulmonary dysplasia(BPD)in twin preterm infants with a gestational age of<34 weeks,and to provide a basis for early identification of BPD in twin preterm infants in clinical practice.Methods A retrospective analysis was performed for the twin preterm infants with a gestational age of<34 weeks who were admitted to 22 hospitals nationwide from January 2018 to December 2020.According to their conditions,they were divided into group A(both twins had BPD),group B(only one twin had BPD),and group C(neither twin had BPD).The risk factors for BPD in twin preterm infants were analyzed.Further analysis was conducted on group B to investigate the postnatal risk factors for BPD within twins.Results A total of 904 pairs of twins with a gestational age of<34 weeks were included in this study.The multivariate logistic regression analysis showed that compared with group C,birth weight discordance of>25%between the twins was an independent risk factor for BPD in one of the twins(OR=3.370,95%CI:1.500-7.568,P<0.05),and high gestational age at birth was a protective factor against BPD(P<0.05).The conditional logistic regression analysis of group B showed that small-for-gestational-age(SGA)birth was an independent risk factor for BPD in individual twins(OR=5.017,95%CI:1.040-24.190,P<0.05).Conclusions The development of BPD in twin preterm infants is associated with gestational age,birth weight discordance between the twins,and SGA birth.

Mitral valve prolapse is one of the common causes of mitral regurgitation.Mitral valve prolapse complicated with leaflet cleft is rare in clinical practice,which most often undergo surgical mitral valve repair or mitral valve replacement.We report a case of mitral valve prolapse with posterior leaflet cleft treated by transcatheter edge-to-edge mitral valve repair,in order to provide a model for similar cases.