The development of the rare disease discipline is a crucial pathway for enhancing the diagnosis and treatment of rare diseases, cultivating specialized professionals, and fostering technological innovation. Currently, China' rare disease discipline is accelerating its development driven by both policy and demand. However, it still faces multi-dimensional challenges, including an incomplete clinical management mechanism, a shortage of interdisciplinary talents, a weak scientific research system, and limited outreach capacity. To address these challenges, this paper proposes and constructs an integrated development system with clinical diagnosis and treatment as the foundation, talent cultivation as the engine, scientific research as the support, and disciplinary outreach capacity as the extension. Specific strategies include: enhancing clinical management through artificial intelligence-assisted diagnosis systems and multidisciplinary collaboration platforms; strengthening the talent pool through textbooks, curricula, and hierarchical training mechanisms; bolstering research collaboration and translational outcomes by leveraging international data-sharing platforms, national rare disease medical centers, the State Key Laboratory of Complex Severe and Rare Diseases, and the National Key Scientific Infrastructure for Translational Medicine; and expanding grassroots outreach and public awareness through the National Rare Disease Diagnosis and Treatment Collaboration Network, the National Rare Disease Quality Control Center, and integrated media communication channels. In the future, the rare disease discipline should further deepen the integration of medicine and engineering, expand international cooperation, focus on the translational closed loop, improve the regional collaboration network, so as to build a more resilient and dynamic disciplinary ecosystem, and ultimately achieve a comprehensive improvement in the diagnosis and treatment of rare diseases.

OBJECTIVE: To investigate the effect of acupuncture on advanced cancer patients by meta-analysis. METHODS: Nine databases (the Cochrane Central Register of Controlled Trials, MEDLINE, Web of Science, Embase, China National Knowledge Infrastructure, the Cumulative Index to Nursing and Allied Health Literature, Chinese Biomedical Literature Database, China Science and Technology Journal Database, and WanFang Data) were searched for randomized controlled trials (RCTs) on acupuncture in advanced cancer patients published from inception to February 13, 2023 and updated to June 1, 2023. Primary outcomes were quality of life (QOL), while secondary outcomes were pain, fatigue, and adverse events (side effects). Data synthesis was performed using RevMan V.5.3 to calculate pooled effect sizes. RoB-2 was used for the risk of bias, and the quality of evidence was assessed using the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) tool. RESULTS: Totally 17 RCTs involving 1,178 participants were included, 15 of which were pooled for meta-analysis. Most studies demonstrated some concern for the overall risk of bias. The pooled data indicated that acupuncture was associated with improved QOL [mean difference (MD)=6.67, 95% confidence interval (CI): 5.09 to 8.26], pain (MD=-1.18, 95% CI -2.28 to -0.08), and adverse events (risk ratio=0.30, 95% CI: 0.26 to 0.57) compared with control groups. Fatigue outcome was not included. Heterogeneity was substantial, and GRADE evidence was very low for both QOL and pain. CONCLUSIONS Acupuncture could benefit patients with advanced cancer and is considered safe compared with usual care. However, the evidence regarding QOL and pain outcomes requires further validation. It is crucial to encourage the development of high-quality studies to strengthen this evidence. (Registry No. CRD42023423539).
Humans ; Acupuncture Therapy ; Neoplasms/therapy* ; Quality of Life ; Randomized Controlled Trials as Topic ; Treatment Outcome

Effective axon regeneration is essential for the successful restoration of nerve functions in patients suffering from axon injury-associated neurological diseases. Certain self-regeneration occurs in injured peripheral axonal branches of dorsal root ganglion (DRG) neurons but does not occur in their central axonal branches. By performing rat sciatic nerve or dorsal root axotomy, we determined the expression of the dysbindin domain containing 2 (DBNDD2) in the DRGs after the regenerative peripheral axon injury or the non-regenerative central axon injury, respectively, and found that DBNDD2 is down-regulated in the DRGs after peripheral axon injury but up-regulated after central axon injury. Furthermore, we found that DBNDD2 expression differs in neonatal and adult rat DRGs and is gradually increased during development. Functional analysis through DBNDD2 knockdown revealed that silencing DBNDD2 promotes the outgrowth of neurites in both neonatal and adult rat DRG neurons and stimulates robust axon regeneration in adult rats after sciatic nerve crush injury. Bioinformatic analysis data showed that transcription factor estrogen receptor 1 (ESR1) interacts with DBNDD2, exhibits a similar expression trend as DBNDD2 after axon injury, and may targets DBDNN2. These studies indicate that reduced level of DBNDD2 after peripheral axon injury and low abundance of DBNDD2 in neonates contribute to axon regeneration and thus suggest the manipulation of DBNDD2 expression as a promising therapeutic approach for improving recovery after axon damage.
Animals ; Ganglia, Spinal/metabolism* ; Nerve Regeneration/genetics* ; Rats ; Axons/metabolism* ; Sciatic Nerve/injuries* ; Rats, Sprague-Dawley ; Male

Objective： The aim of this study is to explore the predictive value of biparametric magnetic resonance imaging(bpMRI)for pelvic lymph node metastasis in prostate cancer patients with PSA≤20 μg/L and establish a nomogram. Methods： The imaging data and clinical data of 363 patients undergoing radical prostatectomy and pelvic lymph node dissection in the First Affiliated Hospital of Nanjing Medical University from July 2018 to December 2023 were retrospectively analyzed. Univariate analysis and multivariate logistic regression were used to screen independent risk factors for pelvic lymph node metastasis in prostate cancer, and a nomogram of the clinical prediction model was established. Calibration curves were drawn to evaluate the accuracy of the model. Results： Multivariate logistic regression analysis showed extrocapusular extension (OR=8.08,95%CI=2.62－24.97, P<0.01), enlargement of pelvic lymph nodes (OR=4.45,95%CI=1.16－17.11,P=0.030), and biopsy ISUP grade(OR=1.97,95%CI=1.12－3.46, P=0.018)were independent risk factors for pelvic lymph node metastasis. The C-index of the prediction model was 0.834, which indicated that the model had a good prediction ability. The actual value of the model calibration curve and the prediction probability of the model fitted well, indicating that the model had a good accuracy. Further analysis of DCA curve showed that the model had good clinical application value when the risk threshold ranged from 0.05 to 0.70.Conclusion： For prostate cancer patients with PSA≤20 μg/L, bpMRI has a good predictive value for the pelvic lymph node metastasis of prostate cancer with extrocapusular extension, enlargement of pelvic lymph nodes and ISUP grade≥4.
Humans ; Male ; Prostatic Neoplasms/diagnostic imaging* ; Lymphatic Metastasis ; Retrospective Studies ; Nomograms ; Prostate-Specific Antigen/blood* ; Lymph Nodes/pathology* ; Pelvis ; Predictive Value of Tests ; Prostatectomy ; Lymph Node Excision ; Risk Factors ; Magnetic Resonance Imaging ; Logistic Models ; Middle Aged ; Aged

Objective To explore the relationship between systemic immune-inflammation index(SII),red blood cell distribution width(RDW),25-hydroxy-vitamin-D[25(OH)D]levels and frailty index in elderly pa-tients with type 2 diabetes mellitus(T2DM).Methods A total of 197 elderly patients with T2DM admitted to the hospital from March 2023 to March 2024 were collected as the research subjects.The patients were divided into the frailty group(106 cases)and the non-frailty group(91 cases)according to the scores of the clinical frailty scale.The clinical data and the levels of SII,RDW and 25(OH)D of the two groups were compared.Pearson correlation analysis was used to analyze the correlations between the levels of SII,RDW and 25(OH)D and the frailty index of elderly patients with T2DM.Logistic regression was used to analyze the influencing factors of frailty in elderly patients with T2DM.Results Compared with the non-frailty group,the proportion of women,the history of falls within 1 year,and the age of the frailty group increased,while the body mass in-dex and the proportion of men decreased,and the differences were statistically significant(P＜0.05).The SII and RDW levels in the non-frailty group were lower than those in the frailty group,and the 25(OH)D level was higher than that in the frailty group,and the differences were statistically significant(P＜0.05).Pearson correlation analysis showed that SII and RDW levels were positively correlated with frailty index,and 25(OH)D level was negatively correlated with frailty index in elderly T2DM patients(P＜0.05).Logistic regression analysis showed that female,age ≥ 74.25 years old,SII≥ 938.36,RDW≥ 15.19％,and 25(OH)D≥48.42 nmol/L were independent risk factors for frailty in elderly T2DM patients(P＜0.05).Conclusion The levels of SII,RDW and 25(OH)D in elderly patients with T2DM are related to the frailty index.

The interactions between microorganisms and medicinal plants are crucial to the quality improvement of medicinal plants. Medicinal plants attract microorganisms to colonize by secreting specific compounds and provide niche and nutrient support for these microorganisms, with a symbiotic network formed. These microorganisms grow in the rhizosphere, phyllosphere, and endophytic tissues of plants and significantly improve the growth performance and medicinal component accumulation of medicinal plants by promoting nutrient uptake, enhancing disease resistance, and regulating the synthesis of secondary metabolites. Microorganisms are also widely used in the ecological planting of medicinal plants, and the growth conditions of medicinal plants are optimized by simulating the microbial effects in the natural environment. The interactions between microorganisms and medicinal plants not only significantly improve the yield and quality of medicinal plants but also enhance their geoherbalism, which is in line with the concept of green agriculture and eco-friendly development. This study reviewed the research results on the interactions between medicinal plants and microorganisms in recent years and focused on the analysis of the great potential of microorganisms in optimizing the growth environment of medicinal plants, regulating the accumulation of secondary metabolites, inducing systemic resistance, and promoting the ecological planting of medicinal plants. It provides a scientific basis for the research on the interactions between medicinal plants and microorganisms, the research and development of microbial agents, and the application of microorganisms in the ecological planting of medicinal plants and is of great significance for the quality improvement of medicinal plants and the green and sustainable development of TCM resources.
Plants, Medicinal/metabolism* ; Bacteria/genetics* ; Symbiosis

Climate and land use changes may significantly impact the habitat distribution of Gastrodia elata, an endangered traditional medicinal plant. Accurately predicting its future potential suitable habitats is crucial for its conservation and sustainable development. This study integrates current distribution data of G. elata with 56 environmental variables and uses the MaxEnt model to predict changes in its suitable habitats under current climate conditions and four future climate scenarios(SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5). The results show that October precipitation and December minimum temperature are key environmental factors influencing its distribution. Under the current climate, optimal habitats for G. elata are concentrated in montane forest areas in Sichuan, Yunnan, Guizhou, and Hubei, which meet the species' requirements for understory growth. Across all future scenarios, the suitable habitat of G. elata consistently shows a stable northward shift, with a steady increase in suitable areas, extending to the middle and lower reaches of the Yangtze River and the Huang-Huai region, and even expanding into Liaoning, Jilin, and southern Heilongjiang. Land use analysis, taking into account the protection of arable land and the utilization of forest resources, indicates that by 2100, under future climate conditions, arable land in medium-to high-suitability areas is expected to increase by 30%-124%. While the conversion of non-suitable forest land into suitable habitats is projected to increase by 5%-52%, the growth of medium-to high-suitability areas within forests is relatively modest, ranging from 1% to 24%. These findings highlight the need to balance agricultural expansion with forest resource conservation to ensure the long-term sustainability of G. elata and provide scientific guidance for future suitable habitat management.
Ecosystem ; China ; Climate Change ; Gastrodia/growth & development* ; Conservation of Natural Resources ; Plants, Medicinal/growth & development*

Objective:To compare the clinical efficacy of catheter-directed thrombolysis (CDT) via the contralateral femoral vein approach (CFVA-CDT) and the calf deep vein approach (CVA-CDT) in the treatment of acute mixed-type lower extremity deep vein thrombosis (DVT).Methods:Patients treated with CFVA-CDT and CVA-CDT for acute mixed-type DVT were retrospectively collected from January 2018 to December 2021, totaling 49 and 32 patients, respectively. The relevant technical indicators, thrombolysis rates in the iliac-femoral vein segment and femoral-popliteal vein segment, clinical efficacy, and the incidence of lower extremity deep vein patency, venous valve insufficiency, and post-thrombotic syndrome (PTS), as well as the severity of chronic venous disease in the affected limb (VCSS score) during a 2-year follow-up period were retrospectively compared between the two venous access CDT groups. The t-test was used for comparing quantitative data, while the chi-square test or Fisher′s exact test was used for categorical data.Results:During CFVA-CDT procedure, 6-8 F vascular sheaths were used, and balloon dilation of 2~6 mm was more frequently employed (65.31%, 32/49) to expand venous stenosis/occlusion segments before successful sheath placement compared to the CVA-CDT group (37.50%, 12/32), and the difference was statistically significant ( P=0.014). In the CVA-CDT group, 31.25% (10/32) of patients had a maximum sheath size of 6 F, while the remainder used 4 or 5 F sheaths. Among them, 34.38% (11/32) of patients required re-puncture of the popliteal or femoral vein for larger sheaths (≥8 F) for thrombus aspiration and subsequent endovascular treatment during or after thrombolysis. The effective thrombolysis rates (≥50%) in the iliac-femoral vein segment were not significantly different between the two groups ( P=0.778). The effective thrombolysis rate of the femoral-popliteal venous segment is related to the presence or absence of popliteal vein opacification on lower extremity venous antegrade venography. There was no significant difference between the groups when the popliteal vein was visualized ( P=1.000). While the popliteal vein was not visualized, the CVA-CDT group (75.0%, 15/20) was significantly better than the CFVA-CDT group (34.38%, 11/32), and the difference was statistically significant ( P=0.004). There was no significant difference in clinical efficacy between the two groups ( P=0.819). During follow-up, the femoral-popliteal vein patency rate in the CVA-CDT group (87.50%, 28/32) was significantly higher than in the CFVA-CDT group (44.90%, 22/49), the difference was statistically significant ( P<0.001). Conclusions:Successful CFVA-CDT requires the assistance of more ancillary devices, while the use of larger sheaths is more limited in CVA-CDT due to the smaller caliber of the calf deep veins. The presence or absence of popliteal vein opacification on lower extremity venous antegrade venography may influence the effective thrombolysis of the femoral-popliteal venous segment thrombus in patients with acute mixed deep vein thrombosis (DVT) treated with CFVA-CDT and CVA-CDT. Compared to CFVA-CDT, CVA-CDT can improve the patency rate of the femoral-popliteal venous segment.

Objective:To investigate the relationship between lean lipid accumulation product (LAP) and metabolic associated fatty liver disease (MAFLD).Methods:This cross-sectional study consecutively enrolled 1 990 adult subjects who underwent health examinations at the Second Affiliated Hospital of Xi′an Jiaotong University between June 2021 and May 2023. All recruited participants had a body mass index (BMI)<23 kg/m2. Data collection included general information, physical examination, serum biochemical parameter measurements, and liver ultrasonography. Participants were divided into four groups (Q1-Q4) according to quartiles value of LAP from low to high. The differences of biochemical parameters and the prevalence of lean MAFLD were compared among the groups. Logistic regression, restricted cubic spline (RCS) and receiver operating characteristic (ROC) curve analysis were used to explore the relationship between LAP and lean MAFLD and assess the diagnostic predictive value of LAP for lean MAFLD.Results:A total of 1990 participants were selected, and the detection rate of lean MAFLD was 4.97% (99 cases). The detection rate of lean MAFLD showed a significant increasing trend from Q1 to Q4 groups ( P<0.001) and respectively was 0.40%, 0.81%, 4.01% and 14.70%. The average age, male proportion, BMI and waist circumference significantly increased in a dose-response manner from Q1 to Q4 (all P<0.001). Indirect bilirubin, alanine aminotransferase, aspartate aminotransferase, γ-glutamyltranspeptidase, alkaline phosphatase, total cholesterol, triglycerides, low-density lipoprotein, serum uric acid, fasting blood glucose, fatty liver index, fibrosis-4 index and every metabolic syndrome component in groups Q2 to Q4 were significantly higher than in the Q1 group, while high-density lipoprotein levels gradually decreased (all P<0.05). RCS showed that the risk of lean MAFLD rose significantly with the increase of LAP ( P<0.005), presenting a nonlinear relationship between them ( P for nonlinear<0.001). Logistic regression analysis revealed that after adjusting other confounding factors, the risk of lean MAFLD in the Q4 group remained 4.75 times higher than that in the Q1 group (95% CI: 11.22-31.69, P<0.05). ROC curve demonstrated that LAP had a better predictive value for lean MAFLD than BMI and waist circumference, with area under the curve of 0.839, critical value of 19.59, diagnostic sensitivity of 82.8% and specificity of 75.1%. Conclusions:Elevated LAP is independently and positively correlated with the risk of lean MAFLD, and its predictive efficacy is significant superior to traditional obesity indicators.