The development of bone in human body and the maintenance of bone mass in adulthood are regulated by a variety of biological factors. Myocyte enhancer factor 2C (MEF2C), as one of the many factors regulating bone tissue development and balance, has been shown to play a key role in bone development and metabolism. However, there is limited systematic analysis on the effects of MEF2C on bone tissue. This article reviews the role of MEF2C in bone development and metabolism. During bone development, MEF2C promotes the development of neural crest cells (NC) into craniofacial cartilage and directly promotes cartilage hypertrophy. In terms of bone metabolism, MEF2C exhibits a differentiated regulatory model across different types of osteocytes, demonstrating both promoting and other potential regulatory effects on bone formation, with its stimulating effect on osteoclasts being determined. In view of the complex roles of MEF2C in bone tissue, this paper also discusses its effects on some bone diseases, providing valuable insights for the physiological study of bone tissue and strategies for the prevention of bone diseases.
Humans ; MEF2 Transcription Factors/physiology* ; Bone and Bones/metabolism* ; Animals ; Bone Development/physiology* ; Osteogenesis/physiology* ; Myogenic Regulatory Factors/physiology*

In this experiment, self-assembled nanoparticles(SANs) were prepared by the pH-driven method, and Her-HCP SAN was constructed by using herpetrione(Her) and Herpetospermum caudigerum polysaccharides(HCPs). The average particle size and polydispersity index(PDI) were used as evaluation indexes for process optimization, and the quality of the final formulation was evaluated in terms of particle size, PDI, Zeta potential, and microstructure. The proposed Her-HCP SAN showed a spheroid structure and uniform morphology, with an average particle size of(244.58±16.84) nm, a PDI of 0.147 1±0.014 8, and a Zeta potential of(-38.52±2.11) mV. Her-HCP SAN significantly increased the saturation solubility of Her by 2.69 times, with a cumulative release of 90.18% within eight hours. The results of in vivo unidirectional intestinal perfusion reveal that Her active pharmaceutical ingredient(API) is most effectively absorbed in the jejunum, where both K_a and P_(app) are significantly higher compared to the ileum(P<0.001). However, the addition of HCP leads to a significant reduction in the P_(app) of Her in the jejunum(P<0.05). Furthermore, the formation of the Her-HCP SAN results in a notably lower P_(app) in the jejunum compared to Her API alone(P<0.001), while both K_a and P_(app) in the ileum are significantly increased(P<0.001, P<0.05). The absorption of Her-HCP SAN at different concentrations in the ileum shows no significant differences, and the pH has no significant effect on the absorption of Her-HCP SAN in the ileum. The addition of the transporter protein inhibitors(indomethacin and rifampicin) significantly increases the absorption parameters K_a and P_(app) of Her-HCP SAN in the ileum(P<0.05,P<0.01), whereas the addition of verapamil has no significant effect on the intestinal absorption parameters of Her-HCP SAN, suggesting that Her may be a substrate for multidrug resistance-associated protein 2 and breast cancer resistance proteins but not a substrate of P-glycoprotein.
Nanoparticles/metabolism* ; Polysaccharides/pharmacokinetics* ; Intestinal Absorption/drug effects* ; Animals ; Rats ; Particle Size ; Drugs, Chinese Herbal/pharmacokinetics* ; Male ; Rats, Sprague-Dawley ; Drug Carriers/chemistry* ; Drug Compounding ; Cucurbitaceae/chemistry*

Based on the pharmacokinetics theory, this study investigated the pharmacokinetic characteristics of albiflorin, paeoniflorin, wogonoside, and wogonin in normal and febrile rats and summarized absorption and elimination rules of Dayuanyin in them to provide reference for further development and clinical application of Dayuanyin. Blood samples were taken from the fundus venous plexus of normal and model rats after intragastric administration of Dayuanyin at different time points. The concentration of each substance in blood was determined by ultra performance liquid chromatography-triple quadrupole mass spectrometry(UPLC-MS/MS) technique at different time points. DAS 2.0, a piece of pharmacokinetics software, was used to calculate the pharmacokinetic parameters of each component. The results show that the 4 components had good linear relationship in their respective ranges, and the results of methodological investigation met the requirements. The pharmacokinetic parameters of C_(max), T_(max), t_(1/2), AUC_(0-t), AUC_(0-∞), and MRT_(0-t) were calculated by the DAS 2.0 non-compartmental model. Compared with those in the normal group, C_(max) and AUC_(0-t) of the 4 components in the model group were significantly increased. There were significant differences in the pharmacokinetic characteristics between the normal and model groups, suggesting that the absorption and elimination of Dayuanyin may be affected by the changes of internal environment of the body in different physiological states.
Animals ; Rats ; Drugs, Chinese Herbal/administration & dosage* ; Male ; Rats, Sprague-Dawley ; Fever/metabolism* ; Tandem Mass Spectrometry ; Chromatography, High Pressure Liquid ; Glucosides/pharmacokinetics* ; Monoterpenes

BACKGROUND AND OBJECTIVE: Patients with glioma experience a high symptom burden and have diverse palliative care needs. However, the assessment scales used in palliative care remain non-standardized and highly heterogeneous. To evaluate the application patterns of the current scales used in palliative care for glioma, we aim to identify gaps and assess the need for disease-specific scales in glioma palliative care. METHODS: We conducted a systematic search of five databases including PubMed, Web of Science, Medline, EMBASE, and CINAHL for quantitative studies that reported scale-based assessments in glioma palliative care. We extracted data on scale characteristics, domains, frequency, and psychometric properties. Quality assessments were performed using the Cochrane ROB 2.0 and ROBINS-I tools. RESULTS: Of the 3,405 records initially identified, 72 studies were included. These studies contained 75 distinct scales that were used 193 times. Mood (21.7%), quality of life (24.4%), and supportive care needs (5.2%) assessments were the most frequently assessed items, exceeding half of all scale applications. Among the various assessment dimensions, the Distress Thermometer (DT) was the most frequently used tool for assessing mood, while the Short Form-36 Health Survey Questionnaire (SF-36) was the most frequently used tool for assessing quality of life. The Mini Mental Status Examination (MMSE) was the most common tool for cognitive assessment. Performance status (5.2%) and social support (6.8%) were underrepresented. Only three brain tumor-specific scales were identified. Caregiver-focused scales were limited and predominantly burden-oriented. CONCLUSIONS: There are significant heterogeneity, domain imbalances, and validation gaps in the current use of assessment scales for patients with glioma receiving palliative care. The scale selected for use should be comprehensive and user-friendly.
Humans ; Glioma/psychology* ; Palliative Care/methods* ; Quality of Life ; Psychometrics ; Brain Neoplasms/psychology*

PURPOSE: To analyze risk factors for severe trauma and establish a nomogram for early risk prediction, to improve the early identification of severe trauma. METHODS: This study was conducted on the patients treated in 81 trauma treatment institutions in Gansu province from 2020 to 2022. Patients were grouped by year, with 5364 patients from 2020 to 2021 as the training set and 1094 newly admitted patients in 2020 as the external validation set. Based on the injury severity score (ISS), patients in the training set were classified into 2 subgroups of the severe trauma group (n = 478, ISS scores ≥25) and the non-severe trauma group (n = 4886, ISS scores <25). Univariate and binary logistic regression analyses were employed to identify independent risk factors for severe trauma. Subsequently, a predictive model was developed using the R software environment. Furthermore, the model was subjected to internal and external validation via the Hosmer-Lemeshow test and receiver operating characteristic curve analysis. RESULTS: In total, 6458 trauma patients were included in this study. Initially, this study identified several independent risk factors for severe trauma, including multiple traumatic injuries (polytrauma), external hemorrhage, elevated shock index, elevated respiratory rate, decreased peripheral oxygen saturation, and decreased Glasgow coma scale score (all p < 0.05). For internal validation, the area under the receiver operating characteristic curve was 0.914, with the sensitivity and specificity of 88.4% and 87.6%, respectively; while for external validation, the area under the receiver operating characteristic curve was 0.936, with the sensitivity and specificity of 84.6% and 93.7%, respectively. In addition, a good model fitting was observed through the Hosmer-Lemeshow test and calibration curve analysis (p > 0.05). CONCLUSION This study establishes a nomogram for early risk prediction of severe trauma, which is suitable for primary healthcare institutions in underdeveloped western China. It facilitates early triage and quantitative assessment of trauma severity by clinicians prior to clinical interventions.
Humans ; Nomograms ; Male ; Female ; Wounds and Injuries/diagnosis* ; Risk Factors ; Middle Aged ; Adult ; Injury Severity Score ; Risk Assessment ; ROC Curve ; Aged ; Logistic Models ; China ; Glasgow Coma Scale

Objective To analyze the relationship between soluble α-Klotho(SKL)levels and continuous glucose monitoring(CGMS)-derived measures of glycemic management in diabetic kidney disease(DKD)patients.Methods A total of 140 T2DM patients admitted to the Department of General Medicine Affiliated Hospital of Yan'an University from May 2020 to May 2022 were selected and divided into two groups according to the levels of UACR:T2DM group(UACR<30 mg/g,n=60),DKD group(UACR≥30 mg/g,n=80)and 45 healthy persons(NC group)who received physical examination in the hospital during the same period were the NC group.Results The SKL level of DKD group was lower than that of T2DM group and NC group(P<0.05).Spearman correlation analysis showed that SKL was positively correlated with eGRF and TIR(P<0.01),and negatively correlated with Scr,UACR,CysC,β2-MG,FPG,HbA1c,MG,TAR and GMI(P<0.01).Multiple linear regression analysis showed that HbA1c and GMI were the influencing factors of SKL.Conclusion The level of SKL in DKD patients is correlated with HbA1c and GMI.

Objective:To improve understanding of acute promyelocytic leukemia (APL) with STAT3::RARA fusion gene positive.Methods:The clinical data, gene detection, diagnosis and treatment of 1 APL patient with STAT3::RARA fusion gene positive admitted to General Hospital of Ningxia Medical University in July 2020 were retrospectively analyzed, and the related literatures were reviewed.Results:The patient was a 70-year-old elderly male who was admitted to the hospital due to bleeding hemorrhoids accompanied with recurrent oral ulcers for 2 months. Physical examination showed anemic appearance and no obvious positive signs were detected. Admission blood routine examination: white blood cell count was 4.36×10 9/L, neutrophil ratio was 56.5%, lymphocyte ratio was 22.7%, hemoglobin was 67 g/L, and platelet count was 37.0×10 9/L. Bone marrow smear of ilium puncture: myeloproliferative hyperplasia was hyperactive, granular dysplasia was abnormal and pathological promyelocytes could be predominantly seen. The results of real-time quantitative polymerase chain reaction showed that PML::RARA L (bcr1), PML::RARA V (bcr2) and PML::RARA S (bcr3) were not detected. PML::RARA fusion gene probe fluorescence in situ hybridization showed positive for partial deletion of RARA gene locus and negative for fusion of PML::RARA gene locus. Blood tumor panoramic gene variation test showed STAT3::RARA fusion gene was positive, and no gene variation associated with blood tumors was detected. Finally, the patient was diagnosed as atypical APL (STAT::RARA fusion gene positive). The patient did not respond to the combination treatment of all-trans retinoic acid and arsenic trioxide. And then he received symptomatic supportive treatment rather than the combined chemotherapy, and was discharged after remission of fatigue symptoms. Conclusions:STAT::RARA fusion gene positive APL is clinically rare and lacks effective treatment compared with classical APL. Its insensitivity to all-trans retinoic acid and arsenic trioxide may be related to this fusion gene.

Objective To explore the factors affecting the use of medical sutures in medical institutions based on the autore-gressive integrated moving average(ARIMA)model so as to provide basis and optimization strategy for the rational use of medical sutures in medical institutions.Methods The monthly usage amount of medical sutures in some hospital from January 2014 to November 2023 was used as the research subject.An ARIMA model was established by R language,with the data on medical suture usage amount from January 2014 to December 2018 used as the training set;the reliability of the ARIMA model was verified with the data on medical suture usage amount from January to December 2019 as the validation set.The monthly usage amount of medical sutures from January 2021 to November 2023 was predicted with the validated ARIMA model,then the predictive value was compared with the actual one to evaluate the benefits of implementing the medical suture optimization policy in January 2021.Results The established ARIMA model passed the white noise test(P＞0.05),and the difference between the predicted and actual values for the whole year of 2019 was not statistically significant(P＞0.05);after the implementation of the medical suture optimization policy,the actual usage amount of medical sutures in some hospital decreased.The actual value from January 2021 to November 2023 was much lower than the predicted value,and the difference was statistically significant(P＜0.05).Conclusion The ARIMA model-based medical suture usage data prediction and configuration optimization scheme contributes to clarifying the law of medical suture usage in some hospital,and provides references for optimization and precision managment of medical suture configuration.[Chinese Medical Equipment Journal,2024,45(8):73-77]

The incidence of sarcopenia in end-stage renal disease is high and closely related to adverse outcomes such as falls, fractures, and cardiovascular diseases in patients. End-stage renal disease and sarcopenia interact with each other, forming a vicious cycle that imposes a significant burden on the prognosis and quality of life of patients. This article reviews the status quo, pathogenesis, and non-pharmacological interventions of sarcopenia in end-stage renal disease to provide a reference for early prevention and intervention in clinical settings.

Radiation-induced heart disease (RIHD) is a common complication of radiotherapy and one of the main causes of non-cancer death in patients with thoracic malignant tumors, which seriously affects the clinical outcome and quality of life of patients. PET imaging is able to assess myocardial perfusion, abnormal myocardial metabolic, cardiac sympathetic disorders, myocardial fibrosis and inflammation, and is of great value in the early diagnosis and detection of RIHD. This article reviews the progress of PET imaging in the early detection of RIHD.