To explore the advantages of traditional Chinese medicine （TCM） and integrative TCM-Western medicine approaches in the treatment of diabetic microvascular complications （DMC）， refine key pathophysiological insights and treatment principles， and promote academic innovation and strategic research planning in the prevention and treatment of DMC. The 38th session of the Expert Salon on Diseases Responding Specifically to Traditional Chinese Medicine， hosted by the China Association of Chinese Medicine， was held in Beijing， 2024. Experts in TCM， Western medicine， and interdisciplinary fields convened to conduct a systematic discussion on the pathogenesis， diagnostic and treatment challenges， and mechanism research related to DMC， ultimately forming a consensus on key directions. Four major research recommendations were proposed. The first is addressing clinical bottlenecks in the prevention and control of DMC by optimizing TCM-based evidence evaluation systems. The second is refining TCM core pathogenesis across DMC stages and establishing corresponding "disease-pattern-time" framework. The third is innovating mechanism research strategies to facilitate a shift from holistic regulation to targeted intervention in TCM. The fourth is advancing interdisciplinary collaboration to enhance the role of TCM in new drug development， research prioritization， and guideline formulation. TCM and integrative approaches offer distinct advantages in managing DMC. With a focus on the diseases responding specifically to TCM， strengthening evidence-based support and mechanism interpretation and promoting the integration of clinical care and research innovation will provide strong momentum for the modernization of TCM and the advancement of national health strategies.

Background Light gradient boosting machine (LightGBM) has become a popular choice in prediction models due to its high efficiency and speed. However, the "black box" issues in machine learning models lead to poor model interpretability. At present, few studies have evaluated the severity of occupational injuries from the perspective of LightGBM model and model interpretability. Objective To evaluate the application value of LightGBM models and model interpretability methods in occupational injury prediction. Methods The Mine Safety and Health Administration (MSHA) occupational injury data set of mining industry workers from 1983 to 2022 was used. Injury severity (death/fatal occupational injury and permanent/partial disability) was used as the outcome variable, and the predictor variables included the month of occurrence, age, sex, time of accident, time since beginning of shift, accident time interval from shift start, total experience, total mining experience, experience at this mine, cause of injury, accident type, activity of injury, source of injury, body part of injury, work environment type, product category, and nature of injury. Feature sets were screened using least absolute shrinkage and selection operator (Lasso) regression. A LightGBM model was then employed to predict occupational injury, with area under curve (AUC) of the model serving as the primary evaluation metric; an AUC closer to 1 indicates better predictive performance of the model. The interpretability of the model was evaluated using Shapley additive explanations (SHAP). Results Through Lasso regression, 7 key influencing factors were identified, including accident time interval from shift start, experience at this mine, cause of injury, accident type, body part of injury, nature of injury, and work environment type. A LightGBM model, constructed based on feature selection via Lasso regression, demonstrated good predictive performance with an AUC value of 0.9941 (95%CI: 0.9917, 0.9966), accuracy of 0.9743, specificity of 0.9781, and sensitivity of 0.9640. The predicted probability of fatal occupational injuries showed high consistency with the actual probability of fatal occupational injuries. In the occupational injury prediction model, the importance of each indicator was analyzed through its SHAP value, and it was found that the body part of injury and the nature of injury were the two main features that affected the prediction results of the model, and the impacts of other features were relatively small. The distribution of SHAP values across body part of injury was broad, with significant impacts on the model's prediction of fatal risk, particularly for injuries to the head and neck, as well as multi-part injuries. The nature of injury also exerted influences on the model in different directions, with suffocation/drowning, crushing, and multi-part injuries having a greater impact on the risk of fatal occupational injuries. Conclusion LightGBM model is capable of efficiently processing large-scale data and providing high-precision prediction results. Research on model interpretability aids in more accurately exploring and analyzing various key risk factors for fatal occupational injuries among mining workers, and further reveals the complex interactions among these factors. This, in turn, enables better preventive intervention and protection measures, as well as optimal resource allocation for labor workers.

The data of 44 scalp acupuncture schools are collected to analyze their commonalities in theoretical foundations, needling sites, techniques, and indications. The integration of these characteristics into an optimized, unified scalp acupuncture protocol has become an inevitable trend. The paper discusses the potential for a unified scalp acupuncture protocol from aspects such as theoretical unification, the relationships between point areas, lines, and sites, and needle numbers. It also explores the primary issues and solutions involved in unifying scalp acupuncture protocols, providing a reference for standardization and unification in scalp acupuncture protocol.
Scalp ; Humans ; Acupuncture Therapy/methods* ; Acupuncture Points

This article analyzes the current status of the researches on acupuncture-moxibustion for idiopathic facial palsy (Bell's palsy). Acupuncture-moxibustion is widely applied in treatment of Bell's palsy and the relevant researches are enriched. But the hierarchical discussion on the effectiveness is reported inadequately. Consequently, the necessity and advantages of acupuncture-moxibustion are hardly prominent. Besides, the safety of acupuncture-moxibustion in treatment is not fully explored. The common shortcomings are presented in professional study and statistical designs, and the quality of the evidences is not high. The recommendation strength of acupuncture-moxibustion is weak in international guidelines. The crucial questions are not deeply discussed, and there are lack of the recognized optimal protocol in clinical practical guidelines. It is suggested that the researches should improve the evaluation of the disease itself that may affect the prognosis of Bell's palsy, such as location, conditions and duration of illness, basic diseases and syndrome/pattern differentiation. The effect of acupuncture-moxibustion should be verified hierarchically, the questions on safety should be emphasized, the quality of study should be improved, the staging of treatment should be specified and the effect of acupuncture-moxibustion should be evaluated in multi-dimensions, and the elements of acupuncture-moxibustion should be optimized systematically in the aspects of timing, acupoint selection, needle devices, manipulation, intervention measures and regimen composition. So as to promote the research of acupuncture-moxibustion for Bell's palsy to a new process.
Humans ; Acupuncture Therapy ; Moxibustion ; Bell Palsy/therapy*

The paper introduces Professor FAN Gangqi's clinical experience in treatment of migraine. Regarding the syndrome/pattern differentiation of TCM, a four-approach framework is established, identifying the nature of illness, analyzing the syndrome/pattern and pathogenesis, determining the stage of illness, and identifying body constitution. In treatment, the principle of treatment is determined in line with syndrome/pattern differentiation, so as to ensure the therapeutic effect by means of "four dimensions". The acupuncture regimens are formulated in terms of the illness stages, "strong needling stimulation in acute stage for analgesia, and needle retaining in chronic stage for long-term effect". "Focusing on neuovascular pathway" is the effective approach to treatment of migraine with acupuncture and moxiubstion. The clinical holistic model by combining acupuncture with medication is advocated because that "the single acupuncture is weak in therapeutic effect, but with medication combined, the effect is enhanced". The different acupuncture techniques are provided comprehensively in treatment of migraine such as horizontal and row-like needling, collateral needling at Taiyang (EX-HN5), acupuncture at Sankong (Yuyao [EX-HN4], Sibai [ST2] and Jiachengjiang [Extra]), acupoint injection at Tianyou (TE16) and Renying (ST9), and acupoint embedding therapy at Fengchi (GB20).
Humans ; Migraine Disorders/diagnosis* ; Acupuncture Therapy ; Moxibustion ; Acupuncture Points ; Female ; Male ; Adult

The cooccurrence of NPM1, FLT3-ITD, and DNMT3A mutations (i.e., triple mutation) is related to dismal prognosis in patients with acute myeloid leukemia (AML) receiving chemotherapy alone. In this multicenter retrospective cohort study, we aimed to identify whether allogeneic hematopoietic stem cell transplantation (allo-HSCT) could overcome the poor prognosis of DNMT3A^mutNPM1^mutFLT3-ITD^mut AML across four transplant centers in China. Fifty-three patients with triple-mutated AML receiving allo-HSCT in complete remission were enrolled. The 1.5-year probabilities of relapse, leukemia-free survival, and overall survival after allo-HSCT were 11.9%, 80.3%, and 81.8%, respectively. Multivariate analysis revealed that more than one course of induction chemotherapy and allo-HSCT beyond CR1 were associated with poor survival. To our knowledge, this work is the largest study to explore the up-to-date undefined role of allo-HSCT in patients with triple-mutated AML. Our real-world data suggest that allo-HSCT could overcome the poor prognosis of DNMT3A^mutNPM1^mutFLT3-ITD^mut in AML.
Humans ; Nucleophosmin ; Leukemia, Myeloid, Acute/mortality* ; Hematopoietic Stem Cell Transplantation/methods* ; Male ; Female ; DNA Methyltransferase 3A ; Adult ; China ; Retrospective Studies ; DNA (Cytosine-5-)-Methyltransferases/genetics* ; Middle Aged ; Prognosis ; fms-Like Tyrosine Kinase 3/genetics* ; Mutation ; Young Adult ; Transplantation, Homologous ; Nuclear Proteins/genetics* ; Adolescent ; Aged

Objective : To explore the predictive value of depression severity plasma thyroid-stimulating hormone(TSH) and brain-derived neurotrophic factor(BDNF) levels for agitated symptoms in patients with adolescent depressive disorder(MDD). Methods : Ninety-one patients with adolescent depressive disorder were enrolled, and the degree of agitation was assessed according to the modified outward aggressive behavior scale(MOAS); 24-item hamilton depression scale(HAMD24) was used to determine the severity of depression; chemiluminescence immunoassay(CLIA) was used to determine the plasma thyroid-stimulating hormone(TSH) level; and electrochemiluminescence immunoassay(ECL) was used to determine the plasma BDNF. SPSS 26.0 was used for statistical analysis of the data, Spearman correlation analysis was used to analyze the relationship between HAMD24and plasma TSH and BDNF levels and the degree of agitation, multiple linear regression analysis was used to analyze the factors influencing the degree of agitation in adolescents with MDD, and binary Logistic regression analysis and subjects′ work characteristic curves(ROC) were used to establish predictive models. Results: The degree of agitation in adolescent MDD patients was positively correlated with HAMD24total score(P<0.001); both HAMD24total score and plasma BDNF level were identified as risk factors for agitation severity(bothP<0.05); both HAMD24total score and plasma BDNF levels were risk factors for the degree of agitation(allP<0.05); HAMD24total score, plasma TSH, BDNF levels were all risk factors for concomitant agitation symptoms in adolescent MDD patients; ROC curve analysis showed that the three combined prediction models(AUC=0.889,P<0.001) had a higher predictive value than the single prediction model(P<0.01). Conclusion Concomitant agitation symptoms in adolescents with MDD are strongly associated with HAMD24total score and plasma TSH and BDNF levels, and the three combined models have good predictive power.

Nanozymes, a groundbreaking discovery by Chinese scientists, represent a novel and remarkable property of nanomaterials. They not only exhibit catalytic activity comparable to natural enzymes, but also boast exceptional stability, tunable reactivity, and the ability to catalyze reactions under mild conditions. The identification of nanozymes has unveiled the biocatalytic potential of inorganic nanomaterials. In parallel, inorganic minerals have long been regarded as pivotal catalysts in the origin of life, driving the synthesis of early biomolecules. These minerals not only facilitate redox reactions that convert simple inorganic compounds into organic molecules but also enable chiral selection, the synthesis of biomacromolecules, and radioprotective functions via their surface structures. Recent advances suggest that inorganic nanomaterials can delicately catalyze the formation of biomolecules, aid in macromolecular assembly, and provide radiation shielding. Furthermore, nanominerals are found in abundance across Earth and extraterrestrial environments. This paper seeks to explore the potential of nanozymes as catalytic agents in the processes that gave rise to life, integrating the catalytic roles of inorganic minerals with the unique attributes of nanozymes, which will provide a new perspective for research of origin of life.

Objective: To examine the developmental trajectory of fine motor ability in schoolage children with attention deficit hyperactivity disorder (ADHD) for two years, so as to provide scientific evidence to promote motor development in ADHD children. Methods: From April to June 2019, 31 children aged 6-8 years old were selected from a public elementary school. They were diagnosed with ADHD by two psychiatric professionals according to the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-V) criteria. Additionally, 31 typical developmental children, matched for age, sex and IQ with the ADHD group, were recruited as the control group. Fine motor ability was assessed with tasks of hand manual dexterity in Movement Assessment Battery for Children-2 (MACB-2), and a followup assessment was conducted from April to June 2021. The development changes of fine motor ability between two groups of children were compared by using t test and repeated measures analysis of variance. Results: Between baseline and followup periods after two years, the total score of hand fine motor in the ADHD group did not show significant improvement (7.4±3.0, 8.0±3.4; t=-1.05, P>0.05), while there was a small effect size improvement in typically developing control group (9.5±2.1, 10.5±2.4; t=-2.12, effect size=0.38, P<0.05). Followup after two years, coin/peg throwing scores with dominant hand improved between ADHD group and control group (7.0±3.3, 9.5±3.2; 8.4±2.8, 11.6±1.6) (t=-3.74, -6.33, P<0.01; effect size=0.67, 1.14), with a smaller improvement in the ADHD group. The score for threading beads/threads decreased in between ADHD group and control group (7.9±2.4, 5.8±3.1; 9.2±1.1, 8.2±1.9) (t=3.89, 2.78, P<0.01; effect size=0.70, 0.50), with a greater decrease in the ADHD group. Conclusions The development speed of fine motor ability in children with ADHD aged 6-8 is slow and continues to lag behind normal developmental children. Fine motor development in children with ADHD should be closely monitored, and targeted interventions should be implemented when necessary.