BACKGROUND:Primary osteoporosis has a high incidence,but the pathogenesis is not fully understood.Currently,there is a lack of effective early screening indicators and treatment programs. OBJECTIVE:To further explore the mechanism of primary osteoporosis through comprehensive bioinformatics analysis. METHODS:The primary osteoporosis data were obtained from the gene expression omnibus(GEO)database,and the differentially expressed genes were screened for Gene Ontology(GO)function and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichment analysis.In addition,the differentially expressed genes were subjected to protein-protein interaction network to determine the core genes related to primary osteoporosis,and the least absolute shrinkage and selection operator algorithm was used to identify and verify the primary osteoporosis-related biomarkers.Immune cell correlation analysis,gene enrichment analysis and drug target network analysis were performed.Finally,the biomarkers were validated using qPCR assay. RESULTS AND CONCLUSION:A total of 126 differentially expressed genes and 5 biomarkers including prostaglandins,epidermal growth factor receptor,mitogen-activated protein kinase 3,transforming growth factor B1,and retinoblastoma gene 1 were obtained in this study.GO analysis showed that differentially expressed genes were mainly concentrated in the cellular response to oxidative stress and the regulation of autophagy.KEGG analysis showed that autophagy and senescence pathways were mainly involved.Immunoassay of biomarkers showed that prostaglandins,retinoblastoma gene 1,and mitogen-activated protein kinase 3 were closely related to immune cells.Gene enrichment analysis showed that biomarkers were associated with immune-related pathways.Drug target network analysis showed that the five biomarkers were associated with primary osteoporosis drugs.The results of qPCR showed that the expression of prostaglandins,epidermal growth factor receptor,mitogen-activated protein kinase 3,and transforming growth factor B1 in the primary osteoporosis sample was significantly increased compared with the control sample(P<0.001),while the expression of retinoblastoma gene 1 in the primary osteoporosis sample was significantly decreased compared with the control sample(P<0.001).Overall,the study screened and validated five potential biomarkers of primary osteoporosis,providing a reference basis for further in-depth investigation of the pathogenesis,early screening and diagnosis,and targeted treatment of primary osteoporosis.

ObjectiveThis study aims to observe the effect of sinomenine （SIN） on fatty acid binding protein 4 （FABP4） in synovial tissue of rats with osteoarthritis （OA） and investigate the therapeutic mechanism of SIN on OA， further providing new ideas for the management of osteoarthritis by traditional Chinese medicine （TCM）. MethodsAn OA rat model was constructed and randomly divided into a control group， an OA group， an OA + SIN-L group （50 mg·kg^-1）， an OA + SIN-M （100 mg·kg^-1）， an OA + SIN-H （200 mg·kg^-1）， and an OA + prednisone （PDN） group （5 mg·kg^-1）. Following surgical modeling for three weeks， an appropriate medication was administered for four weeks. During modeling and administration， a hot plate test was performed to detect the pain and swelling of the knee joints of the rats. The periarticular tissue was collected for arthropathological observation at the end of drug administration. The expression of cleaved Caspase-3， B-cell lymphoma-2 （Bcl-2）， Bcl-2 associated X protein （Bax）， and FABP4 in the synovial tissue of rats was detected by Western blot and real-time quantitative polymerase chain reaction （Real-time PCR）， and the expression and distribution of FABP4 protein in the synovial membrane were detected by immunofluorescence. ResultsCompared with those in the control group， the levels of inflammatory factors and FABP4 in the serum of rats in the OA group were significantly increased （P<0.05， P<0.01）， and joint swelling was significantly elevated （P<0.01）. The thermal pain threshold was significantly reduced （P<0.01）， and the expression of FABP4 protein and the fluorescence intensity were significantly increased （P<0.01）. The synovial tissue exhibited significantly increased inflammatory infiltration， proliferated fibroblasts， and an elevated apoptotic index （P<0.05， P<0.01）. Compared with those in the OA group， the serum lipid metabolism indexes of rats in the SIN administration group gradually returned to normal （P<0.05， P<0.01）， while the levels of inflammatory factors and FABP4 in the serum of rats in the SIN-administered group were significantly reduced （P<0.05， P<0.01）， and joint swelling was significantly decreased （P<0.05， P<0.01）. The thermal pain threshold was significantly elevated （P<0.05， P<0.01）， and the expression of FABP4 protein and fluorescence intensity in the synovial tissue were significantly decreased （P<0.05， P<0.01）. The synovial tissue displayed significantly reduced inflammatory infiltration and a decreased apoptotic index （P<0.05， P<0.01）. ConclusionThe therapeutic effect of SIN on OA may be related to the down-regulation of FABP4 expression， reduction of apoptosis， and inhibition of inflammatory factor expression.

Fecal microbiota transplantation(FMT)is a therapeutic approach that targets intestinal microorganisms by transplanting fecal microorganisms from healthy individuals into the gastrointestinal tract of diseased individuals,thus restoring the recipient's disordered gastrointestinal microbiota by restructuring the intestinal flora.However,the mechanism of action and adverse effects of FMT in different diseases have not yet been clarified,thus limiting its wide clinical application.Its use still relies on in-depth preclinical studies;however,highly inconsistent or incomplete experimental details provided in current reports,coupled with a lack of authoritative standards and recommendations,seriously affect the interpretation of the study findings and replication of the experimental procedures,as well as hindering the clinical translation of the result.We therefore review and discuss the key steps of recipient selection and graft sample collection,storage,graft material preparation,and grafting route,with the aim of improving the utilization of experimental animals,consumables,and labor,and providing method ological recommendations and references to achieve replicability and standardization of preclinical FMT studies.

【Objective】 To review the scientific research advances in the field of preschool children′s nutrition from 2012 to 2022, in order to provide reference for relevant policy formulation and further scientific exploration in this area. 【Methods】 High-quality literature published both domestically and internationally between 2012 and 2022 was retrieved through Web of Science (WOS) and China National Knowledge Infrastructure (CNKI) database. Excel and CiteSpace software were applied to visualize the research hotspots and frontier trends. 【Results】 A total of 1 816 English articles and 110 Chinese articles were included in the analysis. The cooperation network density of research institutions and authors was found to be low. Excluding the search terms, the top three English keywords were vitamin A (0.74), intervention (0.67), obesity prevention (0.55); the top three Chinese keywords were "anemia" (0.41), "obesity" (0.38), and "nutritional status" (0.18). In Chinese and English clusters, "anemia" and "physical activity" ranked first, respectively. The latest burst words identified were "dietary pattern" and "diet quality". 【Conclusions】 The number of English literature published in the field of preschool children′s nutrition is increasing, but it has shown a downward trend in the past three years in China. There are few studies in this field in China. The research hotspots primarily focus on the nutritional status of preschool children, with less attention paid to intervention research and methodological exploration. Further research in the field of preschool children′s nutrition in China may need to focus on the external determinants of preschool children′s nutrition, such as parental education, diet and food supply.

A 50-year-old male patient diagnosed with extensive stage small cell lung cancer was treated with pamiparib in combination with temozolomide.Five days later,the patient developed fever with fatigue.After 10 days,the patient stopped taking the drug due to worsening symptoms and was diagnosed with chemotherapy-induced myelosuppression(grade 4).The clinicist evaluated the patient's condition and assessed the association of adverse reactions using the Naranjo's evaluation scale,and concluded that myelosuppression may be induced by the combination of pamiparib and temozolomide.After symptomatic treatment,the patient's myelosuppression recovered completely.This article discusses the correlation between myelosuppression and the combination of the two drugs,provides treatment measures for this situation,briefly describes the risk factors of myelosuppression,treatment and prevention,and guides medical personnel to adjust the treatment plan in time according to different individuals in the process of using similar programs,and strengthens the monitoring and education of adverse drug reactions,so as to provide references for safe drug use.

Humans ; Aminoquinolines/therapeutic use* ; Carcinoma, Non-Small-Cell Lung/genetics* ; Lung Neoplasms/genetics* ; Mutation/genetics* ; Standard of Care

Objective: To investigate the impact of COVID-19 infection and health related behaviors on the health related quality of life of children and adolescents aged 8-15 years in Nanjing, so as to provide a theoretical basis for improving HRQoL in children and adolescents. Methods: From December 2022 to January 2023, a total of 2 398 students aged 8-15 years from the third grade of primary school to junior middle school in Nanjing were selected by multistage random cluster sampling. The 3 level EuroQol 5 dimension Questionnaire Youth Vension (EQ-5D-Y-3L) was completed by the respondents on their own, and the parents assisted in completing the rest of the questionnaire. Results: The EuroQol-index(EQ-index) and Visual Analogue Scale (VAS) scores of being infected individuals were lower than those of uninfected and previously infected ( P <0.05). The proportion of being infected individuals reporting difficulty on "Pain/Discomfort" was higher than that of uninfected and previously infected individuals, and the proportion of reporting difficulty on "Mobility" was also higher than that of uninfected individuals ( P <0.05). Lack of parental companionship( OR=10.19, 95%CI =3.12-33.22), irregular breakfast consumption ( OR=10.63, 95%CI =3.20-35.25), and excessive screen time ( OR=8.24, 95%CI =3.02-22.51) increased the risk of difficulty on "Mobility" in being infected individuals ( P <0.05). Irregular breakfast consumption ( OR=1.93, 95%CI =1.31-2.84) and consumption of sweetened beverages and snacks (OR=1.56, 95%CI =1.17-2.10) increased the risk of having lower EQ index in previously infected individuals compared to uninfected individuals. Furthermore, consumption of sweetened beverages and snacks ( OR=1.57, 95%CI =1.21-2.05) and excessive screen time ( OR=1.49, 95%CI =1.12-1.98) also increased the risk of VAS scores being lower in previously infected individuals compared to uninfected individuals ( P <0.05). Conclusion The COVID-19 infection impairs HRQoL, and unhealthy behaviors deteriorate its negative impact. Healthy behaviors and lifestyles should be advocated to reduce the impact of COVID-19 infection on HRQoL.

Objective:This study compared the prevalence,awareness,treatment and control of hypertension and associated factors in China and the United States(US).Methods:Adult data from nationally representative samples were derived from the Chronic Disease and Risk Factors Surveillance in 2010 and 2013 in China and the National Health and Nutrition Examination Survey in 2010 and 2013 in the US.Multivariable logistic and Poisson regression analysis were conducted to assess associations of the four outcomes with body weight status and behavioral factors.Results:Age-standardized prevalence rates of hypertension was 35.7％(95％confidence interval[CI]:35.4％to 36.1％)in 2010 and 29.8％(95％CI:29.4％to 30.2％)in 2013 in China,and 35.3％(95％CI:33.6％to 37.1％)in 2010 and 37.9％(95％CI:36.0％to 39.7％)in 2013 in the US.Among hypertensive participants,the age-standardized rates of treatment were 18.4％(95％CI:17.9％to 18.9％)in 2010 and 23.8％(95％CI:23.1％to 24.6％)in 2013 in China and 54.5％(95％CI:50.3％to 58.7％)in 2010 and 50.9％(95％CI:46.5％to 55.3％)in 2013 in the US;the age-standardized hypertension control rates were 3.2％(95％CI:3.0％to 3.5％)and 5.7％(95％CI:5.3％to 6.0％)in 2010 and 2013 in China and 50.6％(95％CI:46.2％to 55.0％)and 55.3％(95％CI:50.3％to 60.3％)in the US.Obesity was significantly associated with prevalence,awareness and control rates in both countries.Different from the US,obesity was negatively associated with hypertension control in China.Conclusion:Hypertension prevalence in China is similar to that in the US,but the control rate in China was significantly lower.Obesity was a critical risk factor for poor hypertension control in China.

Objective:To investigate the influencing factors of recurrence after radical resection of middle and low rectal cancer, and to establish a prediction model based on magnetic resonance imaging (MRI) measurement of perirectal fat content and investigate its application value.Methods:The retrospective cohort study was constructed. The clinicopathological data of 254 patients with middle and low rectal cancer who were admitted to Tianjin Union Medical Center from December 2016 to December 2021 were collected. There were 188 males and 66 females, aged (61±9)years. All patients underwent radical resection of rectal cancer and routine pelvic MRI examina-tion. Observation indicators: (1) follow-up and quantitative measurement of perirectal fat content; (2) factors influencing tumor recurrence after radical resection of middle and low rectal cancer; (3) construction and evaluation of the nomogram prediction model of tumor recurrence after radical resection of middle and low rectal cancer. Measurement data with normal distribution were represented as Mean± SD, and measurement data with skewed distribution were represented as M(rang) and M( Q1, Q2). Count data were described as absolute numbers. Univariate and multivariate analyses were conducted using the COX regression model. The rms software package (4.1.3 version) was used to construct the nomogram and calibration curve. The survival software package (4.1.3 version) was used to calculate the C-index. The ggDCA software package (4.1.3 version) was used for decision curve analysis. Results:(1) Follow-up and quantitative measurement of perirectal fat content. All 254 patients were followed up for 41.0(range, 1.0?59.0)months after surgery. During the follow-up period, there were 81 patients undergoing tumor recurrence with the time to tumor recurrence as 15.0(range, 1.0?43.0)months, and there were 173 patients without tumor recurrence. The preoperative rectal mesangial fascia envelope volume, preoperative rectal mesangial fat area, preoperative rectal posterior mesangial thickness were 159.1(68.6,266.5)cm3, 17.0(5.1,34.4)cm2, 1.2(0.4,3.2)cm in the 81 patients with tumor recurrence, and 178.5(100.1,310.1)cm3, 19.8(5.3,40.2)cm2 and 1.6(0.3,3.7)cm in the 173 patients without tumor recurrence. (2) Factors influencing tumor recurrence after radical resection of middle and low rectal cancer. Results of multivariate analysis showed that poorly differentiated tumor, tumor pathological N staging as N1?N2 stage, rectal posterior mesangial thickness ≤1.43 cm, magnetic resonance extra mural vascular invasion, tumor invasion surrounding structures were independent risk factors of tumor recurrence after radical resection of middle and low rectal cancer ( hazard ratio=1.64, 2.20, 3.19, 1.69, 4.20, 95% confidence interval as 1.03?2.61, 1.29?3.74, 1.78?5.71, 1.02?2.81, 2.05?8.63, P<0.05). (3) Construction and evaluation of the nomogram prediction model of tumor recurrence after radical resection of middle and low rectal cancer. Based on the results of multivariate analysis, the tumor differentiation, tumor pathological N staging, rectal posterior mesangial thickness, magnetic resonance extra mural vascular invasion, tumor invasion surrounding structures were included to construct the nomogram predic-tion model of tumor recurrence after radical resection of middle and low rectal cancer. The total score of these index in the nomogram prediction model corresponded to the probability of post-operative tumor recurrence. The C-index of the nomogram was 0.80, indicating that the prediction model with good prediction accuracy. Results of calibration curve showed that the nomogram prediction model with good prediction ability. Results of decision curve showed that the prediction probability threshold range was wide when the nomogram prediction model had obvious net benefit rate, and the model had good clinical practicability. Conclusions:Poorly differentiated tumor, tumor pathological N staging as N1?N2 stage, rectal posterior mesangial thickness ≤1.43 cm, magnetic resonance extra mural vascular invasion, tumor invasion surrounding structures are independent risk factors of tumor recurrence after radical resection of middle and low rectal cancer. Nomogram prediction model based on MRI measurement of perirectal fat content can effectively predict the probability of postoperative tumor recurrence.

With the continuous progress of research methodology in the real world and the growing maturity of artificial intelligence technology， a method for conducting “quantitative” research to guide clinical practice based on traditional Chinese medicine （TCM） diagnosis and treatment data was gradually developed. However， there is still a need for further improvements in the overall design of studies and the transformation of findings into clinical practice. Based on this， we put forward a comprehensive overall design concept and application approach for real-world study and artificial intelligence research based on clinical diagnosis and treatment data of TCM. This approach consists of five steps： Constructing a research-based database with a large sample size and high data quality； Mining and classification of core prescriptions； Conducting cohort studies to evaluate the effectiveness of core prescriptions； Utilizing case-control studies to clarify the dominant population； Establishing predictive models to achieve precision medicine. Additionally， it is imperative for researchers to establish a standardized system for collecting TCM variables and processing data， optimize the determination and measurement methods of confounding factors， further improve and promote methodologies， and strengthen the training of interdisciplinary talents. By following this research method， we anticipate that the clinical translation of research findings will be facilitated， leading to advancements in TCM precision medicine. Real-world study and artificial intelligence research share similar research foundations， and clinical applications complement each other. In the future， the two will merge together.