Gorham-Stout disease(GSD) is a rare osteolytic disorder characterized by spontaneous and progressive osteolysis, along with abnormal angiogenesis and lymphangiogenesis, with no new bone formation. We present a case of a 15-year-old female admitted due to " recurrent right leg pain for 5 years, 11 months after undergoing right femoral fracture surgery". Through comprehensive integration of the patient's clinical phenotype, laboratory tests, imaging findings, pathological examinations, and molecular biological test results, GSD was considered highly likely. A multidisciplinary treatment approach was conducted, including a combination of zoledronic acid and sirolimus to inhibit osteolysis, along with rehabilitation training and orthopedic intervention, providing a personalized and comprehensive treatment strategy.

ObjectiveTo observe the effect of gene mutation on the effectiveness of arsenic-containing Chinese herbal compound formulas in the treatment of myelodysplastic syndromes （MDS） of different traditional Chinese medicine （TCM） patterns， so as to provide the basis for the clinical application. MethodsClinical data of 442 MDS patients who were treated with arsenic-containing herbal compound formulas were retrospectively collected， including the baseline demographic and clinical characteristics of the patients. Based on the TCM four examinations， the patients were divided into the spleen-kidney deficiency group as well as the qi-yin deficiency group， and according to the results of the next-generation sequencing （NGS） test， they were divided into the group with and without gene mutation respectively. The influence of gene mutation on the clinical effectiveness of patients with different TCM patterns was analyzed， the baseline demographic and clinical characteristics of the patients with different outcomes of the two TCM patterns were compared， and multivariate Logistic regression analysis was conducted on the influencing factors of the effective rate of MDS patients with gene mutation. ResultsA total of 190 cases were included in the spleen-kidney deficiency group （119 cases with gene mutation） and 43 cases in the qi-yin deficiency group （23 cases with gene mutation）. No statistically significant differences were noted in effectiveness assessment， total effective rate， and total response rate between the spleen-kidney deficiency group and the qi-yin deficiency group （P＞0.05）. In the spleen-kidney deficiency group， the total effective rate of MDS with gene mutation was 65.55% （78/119）， which was lower than 80.28% （57/71） of MDS without gene mutation， with statistical significance （P = 0.033）， while no statistical differences in effectiveness assessment and total response rate were noted （P＞0.05）. In the qi-yin deficiency group， no statistical differences were observed in effectiveness assessment， total effective rate， and total response rate of the patients in with or without gene mutation （P＞0.05）. In the spleen-kidney deficiency group with gene mutation， the rate of complex karyotype （P = 0.031） and the mutation rate of CBL gene （P = 0.032） in the ineffective population were higher than those in the effective population， while the mutation rate of DDX41 gene in the effective population was higher than that in the ineffective population （P = 0.033）. No statistically significant differences were found in other gene mutations， age， gender distribution， number of gene mutations， bone marrow hyperplasia degree， blast cell range， reticular fiber tissue proliferation or not， and prognosis of chromosomal abnormalities between the effective and ineffective populations （P＞0.05）. In the qi-yin deficiency group with gene mutation， no statistically significant differences were found in various items between populations with different outcomes （P＞0.05）. Multivariate Logistic regression analysis showed that complex karyotype， CBL mutation， and DDX41 mutation were independently associated with the effective rate of MDS with spleen-kidney deficiency and gene mutation （P＜0.05）. DDX41 mutation was an independent protective factor in the spleen-kidney deficiency group （OR＞1）， while complex karyotype and CBL mutation were independent risk factors （OR＜1）. ConclusionThe arsenic-containing TCM compound formulas exhibited better effectiveness in MDS with spleen-kidney deficiency pattern without mutation； and in MDS with spleen-kidney deficiency pattern without complex karyotypes， CBL mutation， and with DDX41 mutations. Furthermore， DDX41 mutation was an independent protective factor in the spleen-kidney deficiency group， while complex karyotype and CBL mutation were independent risk factors. In MDS with qi-yin deficiency pattern， gene mutation-related factors showed no significant impact on the effectiveness of arsenic-containing TCM compound formulas.

Objective: To systematically review the effect of physical activity (PA) on health related quality of life (HRQoL) among children and adolescents and the magnitude of association, so as to provide an evidence based support for optimizing health promotion strategies for children and adolescents. Methods: Medline (PubMed), EMBASE, the Cochrane Library, SCIELO, PEDro, CNKI, Wanfang and VIP databases were searched to collect literature on PA and HRQoL in children and adolescents, which were published up to January 1, 2025. Cochrane ROB tool and specific evaluation system were used to assess literature quality, Stata 16.0 software was used for Meta analysis. For descriptive studies, correlation( r ) and 95% confidence interval( CI ) were used as effect indicators, and the inverse variance method was used to merge the data. Standardized mean difference( SMD ) and 95% CI were used to calculate the combined effect size of intervention studies. Results: A total of 22 studies involving 27 303 healthy children and adolescents were included, including 9 descriptive studies and 13 intervention studies. The results of descriptive analysis showed that PA level was positively correlated with HRQoL ( r =0.27, 95% CI =0.21-0.32, P <0.01). The analysis of intervention studies showed that PA had significant effects on overall HRQoL ( SMD =0.10, 95% CI =0.05-0.16), physical functioning ( SMD =0.16, 95% CI =0.08-0.23), and mental functioning ( SMD =0.17, 95% CI =0.10-0.25)( P <0.01). Subgroup analysis found that the effects of physical activity on overall HRQoL, physiological function, and psychological function in children and adolescents were maximized when the intervention duration was less than 6 months ( SMD =0.13, 0.18, 0.20), the frequency was≥5 times per week ( SMD =0.13, 0.19, 0.24) and there was a supplementary plan( SMD =0.10, 0.18, 0.23)( P <0.01). Conclusion PA is an important factor affecting the HRQoL of healthy children and adolescents, and the systematic PA intervention has a effect on improving the HRQoL.

OBJECTIVE To explore the effects of Tianma xiongling zhixuan tablet on autophagy in vascular endothelial cells of rats and its potential mechanism. METHODS The rat aortic endothelial cells （RAECs） were divided into normal group， model group， blank serum group， traditional Chinese medicine （TCM） medicated serum group， autophagy blocker group， autophagy agonist group， and TCM combined with autophagy agonist group. Except for normal group， other groups were given 10 μg/mL lipopolysaccharide for 24 hours to induce RAECs inflammation injury model. Blank serum group was treated with 10% blank serum； TCM medicated serum group received 10% medicated serum derived from Tianma xiongling zhixuan tablet； autophagy blocker group was treated with 20 μmol/L of PD98059； autophagy agonist group was administered 50 μmol/L Honokiol. Lastly， the TCM combined with autophagy agonist group was given both 10% medicated serum derived from Tianma xiongling zhixuan tablet and 50 μmol/L Honokiol. The morphological characteristics of RAECs in each group were observed. The cell viability of each group， the contents of endothelin-1 （ET-1） and nitric oxide （NO）， mitochondrial reactive oxygen species， mitochondrial membrane potential， and the expression levels of PTEN-induced kinase 1 （PINK1）， Parkin， ubiquitin-binding protein （p62）， and microtubule-associated protein 1 light chain 3 （LC3） were detected. RESULTS Compared with model group， the levels of ET-1， mitochondrial reactive oxygen species， and the relative expressions of PINK1， Parkin， and LC3 proteins in the autophagy blocker group and TCM medicated serum group were decreased or down-regulated significantly （P＜0.05 or P＜0.01）； the cell viability rate （only autophagy blocker group）， NO level， mitochondrial membrane potential， and the E-mail：46164660@qq.com relative expression level of p62 protein were increased or up-regulated significantly （P＜0.05 or P＜0.01）； the pathological damage of RAECs was significantly improved， the number of cells increased significantly， and the typical paving stone-like characteristics were restored. The levels of ET-1， mitochondrial reactive oxygen species， and the relative expression levels of Parkin and LC3 proteins in the autophagy agonist group were increased or up-regulated significantly （P＜0.05 or P＜0.01）， while cell viability rate was decreased significantly （P＜0.05）， the damage of RAECs was aggravated. Compared with the autophagy agonist group， the cell viability rate and the relative expression level of p62 protein in TCM combined autophagy agonist group were increased or up-regulated significantly （P＜0.05 or P＜0.01）， while the levels of ET-1， the relative expression levels of PINK1， Parkin， and LC3 proteins were down-regulated significantly （P＜ 0.01）， the damage of RAECs was reversed to a certain extent. CONCLUSIONS Tianma xiongling zhixuan tablet protects vascular endothelial function by regulating mitochondrial autophagy， the mechanism of which may be associated with the regulation of PINK1/Parkin signaling pathway and the inhibition of mitochondrial autophagy.

Objective: To establish a "regular blood donor red blood cell gene database"(hereafter referred to as the "database") by applying molecular biology techniques for red blood cell antigens genotyping and utilizing information technology software, and to determine the significance and application value of this "database" in precise red blood cell transfusion. Methods: Fifteen antigens [C, c, E, e, M, N, S, s, Fy (a), Fy (b), Jk (a), Jk (b), Le (a), Le (b), P1] across six blood group systems (RHCE, MNS, FY, JK, Lewis and P1PK) were detected among 9 426 regular blood donors using the TaqMan-MGB method combined with an improved U-shaped microplate approach. With the assistance of information technology software, the "database" was integrated into the overall inventory management system of the blood supply chain. This enabled comprehensive management of regular blood donor and patient information, test results, specific antigen screening for regular blood donors, graded antigen matching between donors and patients, and rare blood type donor records. Results: The TaqMan-MGB method successfully detected paired antigens (C/c, E/e, M/N, S/s, Fy /Fy , Jk /Jk ) within a single reaction well using a standardized PCR amplification protocol. This method provided a reliable testing solution for clinical institutions and empowered blood collection and supply organizations with high-throughput screening capabilities. In the blood supply chain, genotyped red blood cells accounted for 13.2% (721/5 462 U) of the total inventory, with 95.34% (348/365) originating from donors who donated two units of blood. Moreover, the “database” fulfilled 94.06% (443/471 U) of compatible transfusion requirements from medical institutions and effectively managed rare blood type donors. Conclusion: The establishment of the "database" facilitated the transition of blood compatibility testing from traditional serological methods to molecular biology-based gold standard techniques, significantly advancing the implementation of precise transfusion strategies based on multi-antigen matching between donors and patients.

Expert consensus, as an important supplement to clinical practice guidelines, supports clinical decision-making when evidence is lacking or controversial. Compared to clinical practice guidelines, the presentation of expert consensus is more diverse. Currently, there are no reporting guidelines for expert consensus in clinical and public health decision-making. The RIGHT (Reporting Items for Practice Guidelines in Healthcare) checklist is the most commonly used international guideline reporting standard, and is often referred to when writing expert consensus. However, the RIGHT checklist does not include a section on consensus formation methods; while the ACCORD (ACcurate COnsensus Reporting Document) checklist includes reporting requirements for consensus formation methods, but not for reporting recommendations. Therefore, this article integrates the RIGHT and ACCORD reporting checklists and proposes an integrated reporting framework (TIMER-DO) to help authors combine these two commonly used international reporting standards and complete the standardized reporting of expert consensus.

ObjectiveTo characterize the evidence distribution and methodological quality of randomized controlled trials （RCTs） on oral Chinese herbal medicine （CHM） for atopic dermatitis （AD） based on evidence mapping. MethodsSeven databases （CNKI， Wanfang Data， VIP， CBM， Cochrane Library， PubMed， and Embase） and the Chinese Clinical Trial Registry were searched for the RCTs in Chinese and English. Evidence distribution was presented graphically and textually， and methodological quality was assessed via the Cochrane Risk of Bias tool （ROB 1.0）. ResultsA total of 168 RCTs were included. The number of annual publications showing an increasing trend， and 72.6% RCTs had sample sizes of 51-100 participants. The studies evaluated 108 distinct CHM interventions categorized as decoctions， granules， Chinese patent medicines， and extracts. Compound Glycyrrhizin was the most frequently used， followed by Xiaofengsan and Chushi Weiling decoction. Among the RCTs， 57.1% had the treatment courses of 4-8 weeks. Outcome measures predominantly focused on clinical response rate， skin lesion severity scores， and adverse events， with less attention to TCM symptom scores， skin barrier function， and relapse rates. The overall risk of bias was generally high. ConclusionWhile CHM for AD is a research hotspot and demonstrates clinical advantages， the related studies have problems such as unclear clinical positioning， poor research standardization and methodological quality， and insufficient prominence of TCM clinical advantages. Large-sample， methodologically rigorous， and high-quality studies are needed to enhance the evidence base for CHM in treating AD.

ObjectiveTo characterize the evidence distribution and methodological quality of randomized controlled trials （RCTs） on oral Chinese herbal medicine （CHM） for atopic dermatitis （AD） based on evidence mapping. MethodsSeven databases （CNKI， Wanfang Data， VIP， CBM， Cochrane Library， PubMed， and Embase） and the Chinese Clinical Trial Registry were searched for the RCTs in Chinese and English. Evidence distribution was presented graphically and textually， and methodological quality was assessed via the Cochrane Risk of Bias tool （ROB 1.0）. ResultsA total of 168 RCTs were included. The number of annual publications showing an increasing trend， and 72.6% RCTs had sample sizes of 51-100 participants. The studies evaluated 108 distinct CHM interventions categorized as decoctions， granules， Chinese patent medicines， and extracts. Compound Glycyrrhizin was the most frequently used， followed by Xiaofengsan and Chushi Weiling decoction. Among the RCTs， 57.1% had the treatment courses of 4-8 weeks. Outcome measures predominantly focused on clinical response rate， skin lesion severity scores， and adverse events， with less attention to TCM symptom scores， skin barrier function， and relapse rates. The overall risk of bias was generally high. ConclusionWhile CHM for AD is a research hotspot and demonstrates clinical advantages， the related studies have problems such as unclear clinical positioning， poor research standardization and methodological quality， and insufficient prominence of TCM clinical advantages. Large-sample， methodologically rigorous， and high-quality studies are needed to enhance the evidence base for CHM in treating AD.

Cardiovascular disease (CVD), chronic kidney disease (CKD), and metabolic disorders are the 3 major chronic diseases threatening human health, which are closely related and often coexist, significantly increasing the difficulty of disease management. In response, the American Heart Association (AHA) proposed a novel disease concept of “cardiovascular-kidney-metabolic (CKM) syndrome” in October 2023, which has triggered widespread concern about the co-treatment of heart and kidney diseases and the prevention and treatment of metabolic disorders around the world. This review posits that effectively managing CKM syndrome requires a new and multidimensional paradigm for diagnosis and risk prediction that integrates biological insights, advanced technology and social determinants of health (SDoH). We argue that the core pathological driver is a “metabolic toxic environment”, fueled by adipose tissue dysfunction and characterized by a vicious cycle of systemic inflammation and oxidative stress, which forms a common pathway to multi-organ injury. The at-risk population is defined not only by biological characteristics but also significantly impacted by adverse SDoH, which can elevate the risk of advanced CKM by a factor of 1.18 to 3.50, underscoring the critical need for equity in screening and care strategies. This review systematically charts the progression of diagnostic technologies. In diagnostics, we highlight a crucial shift from single-marker assessments to comprehensive multi-marker panels. The synergistic application of traditional biomarkers like NT-proBNP (reflecting cardiac stress) and UACR (indicating kidney damage) with emerging indicators such as systemic immune-inflammation index (SII) and Klotho protein facilitates a holistic evaluation of multi-organ health. Furthermore, this paper explores the pivotal role of non-invasive monitoring technologies in detecting subclinical disease. Techniques like multi-wavelength photoplethysmography (PPG) and impedance cardiography (ICG) provide a real-time window into microcirculatory and hemodynamic status, enabling the identification of early, often asymptomatic, functional abnormalities that precede overt organ failure. In imaging, progress is marked by a move towards precise, quantitative evaluation, exemplified by artificial intelligence-powered quantitative computed tomography (AI-QCT). By integrating AI-QCT with clinical risk factors, the predictive accuracy for cardiovascular events within 6 months significantly improves, with the area under the curve (AUC) increasing from 0.637 to 0.688, demonstrating its potential for reclassifying risk in CKM stage 3. In the domain of risk prediction, we trace the evolution from traditional statistical tools to next-generation models. The new PREVENT equation represents a major advancement by incorporating key kidney function markers (eGFR, UACR), which can enhance the detection rate of CKD in primary care by 20%-30%. However, we contend that the future lies in dynamic, machine learning-based models. Algorithms such as XGBoost have achieved an AUC of 0.82 for predicting 365-day cardiovascular events, while deep learning models like KFDeep have demonstrated exceptional performance in predicting kidney failure risk with an AUC of 0.946. Unlike static calculators, these AI-driven tools can process complex, multimodal data and continuously update risk profiles, paving the way for truly personalized and proactive medicine. In conclusion, this review advocates for a paradigm shift toward a holistic and technologically advanced framework for CKM management. Future efforts must focus on the deep integration of multimodal data, the development of novel AI-driven biomarkers, the implementation of refined SDoH-informed interventions, and the promotion of interdisciplinary collaboration to construct an efficient, equitable, and effective system for CKM screening and intervention.

The clinical burden of colorectal cancer (CRC) is high. Population-based screening and early detection are essential to improve the long-term clinical outcome. Nonetheless, a significant proportion of patients still present at an advanced stage, including with acute large bowel obstruction. Image-enhanced endoscopy and artificial intelligence can improve the detection and diagnosis of colonic adenomas and early cancer. Endoscopic resection is regarded as the preferred curative treatment option for colonic adenoma and T0 and T1 CRC limited to the superficial submucosa. Emergency colonic stenting as bridge to interval curative surgery is increasingly accepted as a first-line option when technically feasible. Minimally invasive resection techniques such as laparoscopic colectomy and robot-assisted colorectal surgery have also come of age. These techniques reduce post-treatment morbidity, shorten the recovery process and can be cost-effective while maintaining long-term oncological cure. These outcome measures are relevant to our patients; therefore, minimally invasive approaches to curative resection should be embraced.
Humans ; Colorectal Neoplasms/surgery* ; Minimally Invasive Surgical Procedures/methods* ; Laparoscopy/methods* ; Colectomy/methods* ; Robotic Surgical Procedures/methods* ; Treatment Outcome ; Colonoscopy/methods*