ObjectiveBased on ultra performance liquid chromatography-quadrupole-electrostatic field orbital trap high-resolution mass spectrometry（UPLC-Q-Orbitrap-MS）， to identify the in vivo and in vitro chemical components of total phenolic acids in Gei Herba（TPAGH）， and to clarify the pharmacological effects and potential mechanisms of the effective part in promoting acute wound healing and inhibiting scar formation. MethodsUPLC-Q-Orbitrap-MS was used to identify the chemical components of TPAGH and ingredients absorbed in vivo after topical administration. A total of 120 ICR mice were randomly divided into the model group， recombinant human epidermal growth factor（rhEGF） group（4 mg·kg^-1）， and low， medium， and high dose groups of TPAGH（3.5， 7， 14 mg·kg^-1）， with 24 mice in each group. A full-thickness skin excision model was constructed， and each administration group was coated with the drug at the wound site， and the model group was treated with an equal volume of normal saline， the treatment was continued for 30 days， during which 8 mice from each group were sacrificed on days 6， 12， and 30. The healing of the wounds in the mice was observed， and histopathological changes in the skin tissues were dynamically observed by hematoxylin-eosin（HE）， Masson， and Sirius red staining， and enzyme-linked immunosorbent assay（ELISA） was used to dynamically measure the contents of interleukin-6（IL-6）， tumor necrosis factor-α（TNF-α）， vascular endothelial growth factor A（VEGFA）， matrix metalloproteinase（MMP）-3 and MMP-9 in skin tissues. Network pharmacology was used to predict the targets related to the promotion of acute wound healing and the inhibition of scar formation by TPAGH， and molecular docking of key components and targets was performed. Gene Ontology（GO） biological process analysis and Kyoto Encyclopedia of Genes and Genomes（KEGG） pathway enrichment analysis were carried out for the related targets， so as to construct a network diagram of herbal material-compound-target-pathway-pharmacological effect-disease for further exploring its potential mechanisms. ResultsA total of 146 compounds were identified in TPAGH， including 28 phenylpropanoids， 31 tannins， 23 triterpenes， 49 flavonoids， and 15 others， and 16 prototype components were found in the serum of mice. Pharmacodynamic results showed that， compared with the model group， the TPAGH groups showed a significant increase in relative wound healing rate and relative scar inhibition rate（P<0.05）， and the number of new capillaries， number of fibroblasts， number of new skin appendages， epidermal regeneration rate， collagen deposition ratio， and Ⅲ/Ⅰ collagen ratio in the tissue were significantly improved（P<0.05， 0.01）， the levels of IL-6， TNF-α， MMP-3 and MMP-9 in the skin tissues were reduced to different degrees， while the level of VEGFA was increased. Network pharmacology analysis screened 10 core targets， including tumor protein 53（TP53）， sarcoma receptor coactivator（SRC）， protein kinase B（Akt）1， signal transducer and activator of transcription 3（STAT3）， epidermal growth factor receptor（EGFR） and so on， participating in 75 signaling pathways such as advanced glycation end-products（AGE）-receptor for AGE（AGE/RAGE） signaling pathway， phosphatidylinositol 3-kinase（PI3K）/Akt signaling pathway， mitogen-activated protein kinase（MAPK） signaling pathway. Molecular docking confirmed that the key components genistein， geraniin， and casuariin had good binding ability to TP53， SRC， Akt1， STAT3 and EGFR. ConclusionThis study comprehensively reflects the chemical composition of TPAGH and the absorbed components after topical administration through UPLC-Q-Orbitrap-MS. TPAGH significantly regulates key indicators of skin healing and tissue reconstruction， thereby clarifying its role in promoting acute wound healing and inhibiting scar formation. By combining in vitro and in vivo component identification with network pharmacology， the study explores how key components may bind to targets such as TP53， Akt1 and EGFR， exerting therapeutic effects through related pathways such as immune inflammation and vascular regeneration.

Objective:To further improve the understanding of paroxysmal nocturnal hemoglobinuria (PNH), we retrospectively analyzed and summarized the clinical characteristics, treatment status, and survival status of patients with PNH in Zhejiang Province.Methods:This study included 289 patients with PNH who visited 20 hospitals in Zhejiang Province. Their clinical characteristics, comorbidity, laboratory test results, and medications were analyzed and summarized.Results:Among the 289 patients with PNH, 148 males and 141 females, with a median onset age of 45 (16-87) years and a peak onset age of 20-49 years (57.8% ). The median lactic dehydrogenase (LDH) level was 1 142 (604-1 925) U/L. Classified by type, 70.9% (166/234) were classical, 24.4% (57/234) were PNH/bone marrow failure (BMF), and 4.7% (11/234) were subclinical. The main clinical manifestations included fatigue or weakness (80.8%, 235/289), dizziness (73.4%, 212/289), darkened urine color (66.2%, 179/272), and jaundice (46.2%, 126/270). Common comorbidities were hemoglobinuria (58.7% ), renal dysfunction (17.6% ), and thrombosis (15.0% ). Moreover, 82.3% of the patients received glucocorticoid therapy, 70.9% required blood transfusion, 30.7% used immunosuppressive agents, 13.8% received anticoagulant therapy, and 6.3% received allogeneic hematopoietic stem cell transplantation. The 10-year overall survival (OS) rate was 84.4% (95% CI 78.0% -91.3% ) . Conclusion:Patients with PNH are more common in young and middle-aged people, with a similar incidence rate between men and women. Common clinical manifestations include fatigue, hemoglobinuria, jaundice, renal dysfunction, and recurrent thrombosis. The 10-year OS of this group is similar to reports from other centers in China.

Gei Herba is a traditional folk herbal medicine with a variety of functions such as replenishing Qi and invigorating spleen， tonifying blood and nourishing Yin， moistening lung and resolving phlegm， activating blood and alleviating edema， moving Qi， and activating blood. The reports about the pharmacological effects of this herbal medicine have been increasing in recent years. By reviewing the ancient and modern literature about Gei Herba， we systematically organized the name， original plants， nature， taste， and functions of this herbal medicine， and summarized the modern pharmacological studies and clinical applications of Gei Herba in cardiovascular and cerebrovascular diseases. Gei Herba was first recorded in the name of "Dijiao" in the Geng Xin Yu Ce（《庚辛玉册》） written in the Ming Dynasty. It is derived from Geum japonicum var. chinense （Rosaceae） and sometimes confused with Adina rubella （Rubiaceae）. This medicine had numerous synonyms in the local materia medica books. Gei Herba is widely distributed and harvested in summer and autumn， with the dried whole grass used as medicine. The historical records of the nature， taste， meridian tropism， main functions， and indications of Gei Herba are not consistent. It is generally believed that Gei Herba is pungent， bitter， sweet， cool， and has tropism to the liver， spleen， and lung meridians. Based on the effects of tonifying Qi， activating blood， and nourishing Yin， modern pharmacological studies have reported that the extracts of Gei Herba and the tannin phenolic acid compounds and triterpenoids isolated from Gei Herba have therapeutic effects on cardiovascular and cerebrovascular diseases such as hypertension， myocardial ischemia， cerebral ischemia， and vascular dementia. This study provides a reference for discovering the clinical advantages of Gei Herba and developing new drugs.

Objective To systematically analyze the World Health Organization Rehabilitation Competency Framework (RCF) theoretical framework, methodology and its application in the field of rehabilitation.Methods We systematically analyzed RCF conceptual framework and key characteristics, and discussed how to apply the RCF in the fields of human resource planning, education program and curriculum system, and vocational competency standards and certification criteria for rehabilitation human resources.Results The RCF encompasses five domains, naming practice, professionalism, learning and development, management and leadership, and research. Rehabilitation professionals' performance is the result of the interaction of their core values and beliefs, competencies, activities, knowledge, and skills. The RCF can be used to plan rehabilitation human resources, establish competency-based rehabilitation education programs and curriculum systems, and develop competency certification standards and licensure accreditation standards.Conclusion This study analyzed background, content and implementation framework of RCF, and systematically discussed the theories and methods related to how to use the RCF to construct national rehabilitation human resources development plans, develop rehabilitation education programs and curriculum systems based on the RCF, and establish certification and assessment standards for rehabilitation human resources.

Objective:To investigate the risk factors of bone cement leakage after percutaneous vertebroplasty (PVP) for osteoporotic vertebral compression fracture (OVCF).Methods:A multi-center, large-sample, case-control study was carried out to analyze the clinical data of 2 273 OVCF patients (2 689 vertebrae) undergone PVP at four hospitals between May 2018 and October 2021, including 994 males and 1 279 females, with the age of 52-91 years [(69.1±3.1)years]. Of all, 581 patients (604 vertebrae) were allocated to leakage group and 1 692 patients (2 085 vertebrae) to no leakage group according to the occurrence of bone cement leakage. The gender, age, fracture sites, vertebral compression degree, endplate integrity of fractured vertebrae, surgical segments, surgical approaches and bone cement injection volume were recorded. Univariate analysis was used to investigate the correlation between those indicators with bone cement leakage. Multivariate Logistic regression analysis was used to identify the independent risk factors for bone cement leakage.Results:Univariate analysis showed that gender, age, fracture sites, vertebral compression degree, bone cement injection volume were related to bone cement leakage after PVP ( P<0.05 or 0.01), but no correlation was found in the endplate integrity of fractured vertebrae, surgical segments and surgical approaches (all P>0.05). Multivariate Logistic regression analysis showed that fracture sites ( OR=1.68, 95% CI 1.11-2.55, P<0.05), vertebral compression degree more than 40% ( OR=1.98, 95% CI 1.29-3.02, P<0.01), bone cement injection volume greater than or equal to 5.5 ml ( OR=1.55, 95% CI 1.07-2.26, P<0.05) were significantly associated with bone cement leakage after PVP. Conclusion:Thoracic vertebral fracture, vertebral compression degree more than 40% and bone cement injection volume greater than or equal to 5.5 ml are independent risk factors for bone cement leakage after PVP in OVCF.

Humans ; Computed Tomography Angiography ; Deep Learning ; Coronary Angiography ; Coronary Artery Disease ; Tomography, X-Ray Computed ; Coronary Stenosis/diagnosis* ; Retrospective Studies ; Fractional Flow Reserve, Myocardial ; Predictive Value of Tests

Objective:To explore the effect of case-based learning (CBL) guided by ICF (International Classification of Functioning, Disability and Health) in rehabilitation practice teaching.Methods:Fifty-eight rehabilitation undergraduates who had practiced in the Department of Rehabilitation Medicine in The First Affiliated Hospital of Chongqing Medical University from February 2019 to December 2019 were randomized into observation group and control group. The observation group adopted ICF-guided CBL method for practice teaching, while the control group adopted traditional teaching methods. At the end of the internship, all the students were assessed in terms of their theoretical knowledge, case analysis and clinical practice ability. At the same time, questionnaires were used to conduct a satisfaction survey on the teaching method, and the results of the two groups were compared and analyzed by ttest and rank-sum test through SPSS 25.0. Results:The scores of the observation group were higher than those of the control group, with statistical significance ( P<0.05) . In the satisfaction survey, the observation group was superior to the traditional teaching method in terms of self-thinking ability and learning initiative, with statistical significance ( P<0.05). Conclusion:ICF-guided CBL method can strengthen students' independent thinking ability and learning initiative, and improve the students' clinical comprehensive ability of rehabilitation treatment.

Gestational diabetes mellitus (GDM) is characterized by glycemia and insulin disorders. Bile acids (BAs) have emerged as vital signaling molecules in glucose metabolic regulation. BA change in GDM is still unclear, which exerts great significance to illustrate the change of BAs in GDM. GDM patients and normal pregnant women were enrolled during the oral glucose tolerance test (OGTT) screening period. Fasting serums were sampled for the measurement of BAs. BA metabolism profiles were analyzed in both pregnant women with GDM and those with normal glucose tolerance (NGT). Delivery characteristics, delivery gestational age, and infant birthweight were extracted from medical records. GDM patients presented distinctive features compared with NGT patients, including higher body mass index (BMI), elevated serum glucose concentration, raised insulin (both fasting and OGTT), and increased hemoglobin A1c (HbA1c) levels. Higher homeostasis model assessment of insulin resistance (HOMA-IR) and decreased β-cell compensation (i.e., oral disposition index (DI

Co-delivery of chemotherapeutics and immunostimulant or chemoimmunotherapy is an emerging strategy in cancer therapy. The precise control of the targeting and release of agents is critical in this methodology. This article proposes the asynchronous release of the chemotherapeutic agents and immunostimulants to realize the synergistic effect between chemotherapy and immunotherapy. To obtain a proof-of-concept, a co-delivery system was prepared

Objective:To establish a disease risk prediction model for the newborn screening system of inherited metabolic diseases by artificial intelligence technology.Methods:This was a retrospectively study. Newborn screening data ( n=5 907 547) from February 2010 to May 2019 from 31 hospitals in China and verified data ( n=3 028) from 34 hospitals of the same period were collected to establish the artificial intelligence model for the prediction of inherited metabolic diseases in neonates. The validity of the artificial intelligence disease risk prediction model was verified by 360 814 newborns ' screening data from January 2018 to September 2018 through a single-blind experiment. The effectiveness of the artificial intelligence disease risk prediction model was verified by comparing the detection rate of clinically confirmed cases, the positive rate of initial screening and the positive predictive value between the clinicians and the artificial intelligence prediction model of inherited metabolic diseases. Results:A total of 3 665 697 newborns ' screening data were collected including 3 019 cases ' positive data to establish the 16 artificial intelligence models for 32 inherited metabolic diseases. The single-blind experiment ( n=360 814) showed that 45 clinically diagnosed infants were detected by both artificial intelligence model and clinicians. A total of 2 684 cases were positive in tandem mass spectrometry screening and 1 694 cases were with high risk in artificial intelligence prediction model of inherited metabolic diseases, with the positive rates of tandem 0.74% (2 684/360 814)and 0.46% (1 694/360 814), respectively. Compared to clinicians, the positive rate of newborns was reduced by 36.89% (990/2 684) after the application of the artificial intelligence model, and the positive predictive values of clinicians and artificial intelligence prediction model of inherited metabolic diseases were 1.68% (45/2 684) and 2.66% (45/1 694) respectively. Conclusion:An accurate, fast, and the lower false positive rate auxiliary diagnosis system for neonatal inherited metabolic diseases by artificial intelligence technology has been established, which may have an important clinical value.