To thoroughly implement the strategic deployment outlined in the Opinions of the Central Committee of the Communist Party of China and the State Council on Promoting the Inheritance and Innovative Development of Traditional Chinese Medicine regarding research on dominant diseases of traditional Chinese medicine and to uphold the development philosophy of equal emphasis on traditional Chinese medicine and western medicine，the China Association of Chinese Medicine has fully played a leading academic role by systematically organizing and conducting a series of academic youth salons on clinical dominant diseases of traditional Chinese medicine. On September 13，2024，the 36^th Youth Salon on Clinical Dominant Diseases was successfully held in Nanjing，focusing on the advantages of traditional Chinese medicine and the integrative traditional Chinese medicine and western medicine in the diagnosis and treatment of erectile dysfunction （ED）. The conference brought together leading experts from traditional Chinese medicine，western medicine，and interdisciplinary fields，facilitating in-depth multidisciplinary discussions that led to key consensus on optimizing traditional Chinese medicine treatment protocols for ED，researching and developing new drugs of traditional Chinese medicine，and advancing interdisciplinary development in traditional Chinese medicine. This salon systematically sorted out the clinical strengths and distinctive features of traditional Chinese medicine in the diagnosis and treatment of ED. Based on current research foundations and clinical needs，it identified key directions for future scientific layout and scientific research tackling： （1） Standardization of syndrome differentiation system of traditional Chinese medicine for ED. （2） Optimization and standardization of intervention methods of integrated traditional Chinese medicine and western medicine. （3） High-quality clinical research guided by evidence-based medicine. （4） In-depth analysis of the pharmacological mechanisms of traditional Chinese medicine in the treatment of ED. （5） Clinical translation and application promotion of new drugs of traditional Chinese medicine. （6） Interdisciplinary integration and innovation in traditional Chinese medicine. For each research direction，key focus areas，expected objectives，and clinical value were further refined，along with the establishment of a scientifically sound priority funding level evaluation system. Therefore，building on the series of salons on the ED-focused dominant diseases of traditional Chinese medicine，this paper provides standardized guidance for clinical practice of traditional Chinese medicine in ED management，effectively contributing to the high-quality development of traditional Chinese medicine. It serves as a valuable reference for national scientific and technological strategic layout， research and development decision-making in new drugs of traditional Chinese medicine，research topic planning，and clinical guideline formulation.

Objective: To determine the clinical efficacy of platelet-rich plasma (PRP) injection combined with warm acupuncture and moxibustion for treating patients with knee osteoarthritis and cold dampness obstruction syndrome. Methods: One hundred and twenty-eight patients with knee osteoarthritis and cold dampness obstruction syndrome who visited the Rehabilitation Department and Orthopedics Department of the Second Affiliated Hospital of Anhui University of Chinese Medicine from January 2023 to March 2024 and who met the inclusion and exclusion criteria were randomly divided into an experimental (n=64) and control group (n=64) using the random number table method. The experimental group was treated with PRP injection combined with warm acupuncture and moxibustion, whereas the control group was treated with normal saline injection combined with warm acupuncture and moxibustion treatment. PRP and normal saline injections were administered once every two weeks, a total of four times. Patients were treated with warm acupuncture and moxibustion once a day, six times a week, for four consecutive weeks. The Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), Traditional Chinese Medicine (TCM) syndrome, visual analog scale (VAS), and Lysholm scores were determined before treatment, at week 4 and week 8 of treatment, and week 16 of follow-up. Serum interleukin-6 (IL-6), matrix metalloproteinase-3 (MMP-3), tumor necrosis factor-α (TNF-α), osteoprotegerin (OPG), bone gla protein(BGP), and cartilage oligomeric matrix protein (COMP) levels were compared between the two groups before and after 8 weeks of treatment. The clinical efficacy and safety indicators between the two groups were also compared. Results: There was no statistical difference in baseline data such as gender, age, disease duration, and body mass index between the two groups of patients. Compared with before treatment, both groups showed decreased WOMAC total and subscale, TCM syndrome total score and symptom scores, and VAS scores, and an increase in Lysholm scores at 4, 8, and 16 weeks after treatment. After treatment, serum IL-6, MMP-3, TNF-α, and COMP levels decreased, whereas serum OPG and BGP levels increased (P<0.05). Compared with the control group, patients in the experimental group showed decreased WOMAC total and subscale, TCM syndrome total score and symptom scores, and VAS scores, and an increase in Lysholm score at 4, 8, and 16 weeks after treatment. Compared with the control group, patients in the experimental group showed decreased serum IL-6, MMP-3, TNF-α, and COMP levels and an increase in serum OPG and BPG levels after treatment (P<0.05). The total effective rate of the experimental group was 91.94%, higher than that of the control group (81.97%; P<0.05). Conclusion PRP injection combined with warm acupuncture and moxibustion can improve various TCM symptoms, improve knee joint function and bone metabolism, and reduce inflammation in patients with knee osteoarthritis and cold dampness obstruction syndrome.

OBJECTIVE: To evaluate the association between erectile dysfunction (ED) and myocardial infarction (MI) using two sample Mendelian randomization. METHODS: A Mendelian randomization study was conducted using comprehensive data on ED and MI from extensive genome-wide association data. Using inverse variance weighted analysis for causal relationships, and correct for confounding factors using multivariate Mendelian randomization, the potential mediating effects were evaluated as well. Based on Genecard data, the genes related to ED and MI were identified. Molecular docking was used to reveal spontaneously bound drug molecules. RESULTS: Our study found that exposure to ED was a risk factor for MI (OR: 1.001 0, 95% CI: 1.000 2－1.001 8, P=0.017 7), which also held true in the validation dataset (OR: 1.028 5, 95% CI: 1.005 0－1.052 6, P=0.017 2). No statistically significant heterogeneity or horizontal pleiotropy was found. The results of reverse Mendelian randomization analysis showed any reverse causal relationship between ED and MI. In multivariate Mendelian randomization analysis, after excluding confounding factors (excluding triglycerides and high-density lipoprotein), the P-value remained less than 0.05, and the OR ranged from 1.000 1 to 1.000 7, indicating that ED was still a risk factor for MI. In the mediation analysis, it was found that the current mediation ratio of smoking to MI was 13.06%. In summary-data-based mendelian randomization analysis, it was found that the gene PTPN11 was a common target gene for MI and ED (OR=0.990, P<0.001). Subsequent molecular docking with sildenafil, clopidogrel, and dapoxetine could spontaneously bind to the PTPN11 gene receptor. CONCLUSION There is a causal relationship between ED and MI, with smoking as a potential mediating factor, and the gene PTPN11 being a co-target gene.
Humans ; Male ; Mendelian Randomization Analysis ; Myocardial Infarction/genetics* ; Erectile Dysfunction/complications* ; Risk Factors ; Genome-Wide Association Study ; Molecular Docking Simulation ; Polymorphism, Single Nucleotide

BACKGROUND: The association of systemic inflammatory response index (SIRI) with prognosis of coronary artery disease (CAD) patients has never been investigated in a large sample with long-term follow-up. This study aimed to explore the association of SIRI with all-cause and cause-specific mortality in a nationally representative sample of CAD patients from United States. METHODS: A total of 3386 participants with CAD from the National Health and Nutrition Examination Survey (NHANES) 1999-2018 were included in this study. Cox proportional hazards model, restricted cubic spline (RCS), and receiver operating characteristic curve (ROC) were performed to investigate the association of SIRI with all-cause and cause-specific mortality. Piece-wise linear regression and sensitivity analyses were also performed. RESULTS: During a median follow-up of 7.7 years, 1454 all-cause mortality occurred. After adjusting for confounding factors, higher lnSIRI was significantly associated with higher risk of all-cause (HR = 1.16, 95% CI: 1.09-1.23) and CVD mortality (HR = 1.17, 95% CI: 1.05-1.30) but not cancer mortality (HR = 1.17, 95% CI: 0.99-1.38). The associations of SIRI with all-cause and CVD mortality were detected as J-shaped with threshold values of 1.05935 and 1.122946 for SIRI, respectively. ROC curves showed that lnSIRI had robust predictive effect both in short and long terms. CONCLUSIONS SIRI was independently associated with all-cause and CVD mortality, and the dose-response relationship was J-shaped. SIRI might serve as a valid predictor for all-cause and CVD mortality both in the short and long terms.

Objective:To explore the association between acute muscle wasting during hospitalization and poor prognosis in older patients with severe community-acquired pneumonia (SCAP) in emergency department.Methods:This study was a prospective cohort study. From January 1, 2022 to October 31, 2022, consecutive patients aged ≥65 years who met the diagnostic criteria of SCAP and had an interval of 14 days between two CT scans in the emergency department of Beijing Chao-Yang Hospital were enrolled. The general clinical data and cross-sectional area of the erector spinae muscle (ESMcsa) of the thoracic 12 level derived from chest CT on day 1 and day 14 were recorded and the differences between the two measurements were calculated. Patients were divided into survival group and non-survival group based on whether they died within 28 days. Two independent samples t-test and Mann Whitney U test were used to compare the dynamic changes of ESMcsa between two groups, and paired t-test and Wilcoxon signed rank test were used to compare the changes of ESMcsa within two groups. Multivariable Cox regression analysis was used to identify the risk factors for 28-day mortality, and receiver operating characteristic (ROC) curves were used to determine the predictive value of ESMcsa loss for 28-day mortality. The optimal cutoff value was determined on the basis of the Youden index (YI), patients were divided into a high muscle loss group and a low muscle loss group, and Kaplan Meier survival curve was drawn. Results:A total of 106 older patients with SCAP were included, with a median age of 82.0 years and 59 were men (55.7%). The ESMcsa levels of patients in non-survival group were lower than those in survival group both at admission and on the 14th day (both P<0.01). The ESMcsa levels on admission were lower than those on the 14th day in non-survival group ( P<0.001). The loss of ESMcsa in non-survival group [3.01 (-1.51, 7.73) cm 2vs. 0.80 (-2.58, 4.57) cm 2, P=0.020] was higher than that in the survival group. Multivariable Cox regression showed that ESMcsa loss was an independent risk factor for 28-day mortality ( HR=1.116, 95%CI: .029-1.210, P=0.010), the AUC for predicting 28-day mortality was 0.646 (95% CI: 0.528-0.763, P=0.020), and the optimal cut-off value was 6.22 cm 2. Kaplan Meier survival curve showed that the 28-day mortality risk in the high muscle loss group was higher than that in the low muscle loss group ( χ2=11.412, P=0.001). Conclusion:Acute muscle wasting during hospitalization was associated with 28-day mortality among older patients with SCAP, which provides a basis for improving patient prognosis from a muscle perspective.

Aim To predict the mechanism of Fufang Congrong Yizhi Capsules (FCYC) in the treatment of mild cognitive impairment (MCI) by network pharmacology method, and further validate it in combination with cellular experiments. Methods TCMSP, Gene-Cards, OMIM and TTD databases, Chinese Pharmacopoeia and related literature were used to screen the active ingredients of FCYC and the targets of MCI treatment. The TCM-compound-target-disease network and PPI of intersection targets were constructed, and the GO and KEGG analysis were performed by the Ehamb bioinformation platform. GO and KEGG analysis were performed through Yihanbo biological information platform. Cell model of MCI was established by PC-12 injury induced by Aβ

Dual-tracer PET imaging can provide more comprehensive clinical information for disease diagnosis. How to achieve dual-tracer imaging through single imaging session is one of the hot topics in the field of nuclear medicine. The key issues in achieving dual-tracer imaging with a single scan is the accurate separation of single-tracer information from the mixed tracer signal. In the last two decades, separation methods for different tracers have been proposed, and the injection interval between two tracers was reduced. This paper summarizes recent dual-tracer separation methods. The basic principles, features and advantages of separation methods are analyzed. Besides, the outlook on the future development of dual-tracer separation is also discussed in the present review.

Neck dissection(ND)is one of the main treatment methods for oral and maxillofacial malignancies.Although ND type is in con-stant improvement,but intraoperative peal-pull-push injury of the accessory nerve,muscle,muscle membrane,fascia and ligament induced shoulder syndrome(SS)is still a common postoperative complication,combined with the influence of radiochemotherapy,not only can cause pain,stiffness,numbness,limited dysfunction of shoulder neck and arm,but also may have serious impact on patient's life quality and phys-ical and mental health.At present,there is still a lack of a systematic evaluation and rehabilitation management program for postoperative SS of oral and maxillofacial malignant tumors.Based on the previous clinical practice and the current available evidence,refer to the relevant lit-erature at home and abroad,the experts in the field of maxillofacial tumor surgery and rehabilitation were invited to discuss,modify and reach a consenusus on the etiology,assessment diagnosis,differential diagnosis,rehabilitation strategy and prevention of SS,in order to provide clinical reference.

OBJECTIVE To establish high performance liquid chromatography(HPLC)fingerprints of the extract of Fructus Li-gustri Lucidi-Ecliptae Herba and to identify the structure of its chemical constituents.METHODS The chromatographic separation was performed on ZORBAX Extend C18(250 mm×4.6 mm,5 μm)column with the mobile phase consisting of acetonitrile and 0.1%formic acid solution in gradient elution mode at a flow rate of 1.0 mL·min-1.The optimum column temperature was set at 35℃,the detection wavelength was 265 nm,and the injection volume was 10 μL.The HPLC fingerprints of 15 batches of herb pair from different origins were established.Then,similarity evaluation,cluster analysis,and orthogonal partial least squares discriminant analysis were carried out.The chemical structures of the constituents of the herb pair were identified based on the high-resolution mass spectrometry utilizing the UPLC-Q-Exactive Orbitrap MS in positive and negative-ion modes.RESULTS As a result,the similarity of the 15 bat-ches of samples varied from 0.865 to 0.992.A total of 16 common peaks were identified in the fingerprints,and 7 of them were identi-fied by comparision with the reference substances.Furthermore,55 chemical compounds were detected,and 7 of them were accurately identified based on the reference substances,and the chemical structures of the rest 48 components were temporarily speculated.CON-CLUSION The fingerprint method established in this study is simple,reliable,and reproducible,and can be further used for the quality control of Fructus Ligustri Lucidi-Ecliptae Herba herb pair.The developed UPLC-Q-Exactive Orbitrap MS method can be applied to identify the structures of chemical constituents in this herb pair and lay a foundation for further research.

Background Mercury, as a global heavy metal pollutant, poses a serious threat to human health. The toxicity of mercury depends on its chemical form. Distinguishing the forms of mercury in the environment is of great significance for mercury management and reducing human mercury exposure risks. Objective To establish a non-targeted metallomics method based on synchrotron radiation X-ray fluorescence (SRXRF) spectroscopy combined with machine learning to screen inorganic mercury (IHg) or methylmercury (MeHg) exposed rice plants. Methods Rice seeds were exposed to ultra-pure water (control group), 0.1 mg·L⁻¹ IHg (IHg group) or MeHg (MeHg group) solutions, respectively. After germination, the seedlings were cultured for 21 d, and rice leaves were collected, dried, weighed, and pressed. The content of metallome in rice leaves was determined by SRXRF. Machine learning models including soft independent modeling cluster analysis (SIMCA), partial least squares discriminant analysis (PLS-DA), and logistic regression (LR) were used to classify the SRXRF full spectra of different groups and find the best model to distinguish rice exposed to IHg or MeHg. Besides, characteristic elements were selected as input parameters to optimize the model by improving computing speed and reducing model calculation. Results The SRXRF spectral intensities of the control group, IHg group, and MeHg group were different, indicating that exposure to IHg and MeHg can interfere the homeostasis of metallome in rice leaves. The results of principal component analysis (PCA) of SRXRF spectra showed that the control group could be well distinguished from the mercury exposed groups, but the IHg group and the MeHg group were mostly overlapped. The accuracy rates of the three models (PLS-DA, SIMCA, and LR) were higher than 98% for the training set, higher than 95% for the validation set, and higher than 94% for the cross-validation set. Besides, the accuracy of the LR model was higher than that of the PLS-DA model and the SIMCA model. Furthermore, the accuracy was 92.05% when using characteristic elements K, Ca, Mn, Fe, and Zn selected by LR to distinguish the IHg group and the MeHg group. Compared with the full spectra model, although the prediction accuracy of the characteristic spectral model decreased, the input parameters of the model decreased by 99.51%, and precision, recall, and F1 score were above 84.48%, indicating that the model could distinguish rice exposed to different mercury forms. Conclusion Non-targeted metallomics method based on SRXRF and machine learning can be applied for high-throughput screening of rice exposed to different forms of mercury and thus decrease the risks of people being exposed to mercury.