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.

Nanozymes are a distinct category of nanomaterials that exhibit catalytic properties resembling those of enzymes such as peroxidase (POD), superoxide dismutase (SOD), catalase (CAT), and glutathione peroxidase (GPx). Nanozymes derived from Chinese herbal medicines exhibit the catalytic functions of their enzyme mimics, while retaining the specific medicinal properties of the herb (termed "herbzymes"). These nanozymes can be categorized into three main groups based on their method of synthesis: herb carbon dot nanozymes, polyphenol-metal nanozymes, and herb extract nanozymes. The reported catalytic activities of herbzymes include POD, SOD, CAT, and GPx. This review presents an overview of the catalytic activities and potential applications of nanozymes, introduces the novel concept of herbzymes, provides a comprehensive review of their classification and synthesis, and discusses recent advances in their biomedical applications. Furthermore, we also discuss the significance of research into herbzymes, including the primary challenges faced and future development directions.
Nanostructures/chemistry* ; Humans ; Herbal Medicine/methods* ; Superoxide Dismutase/chemistry* ; Catalase/chemistry* ; Drugs, Chinese Herbal/chemistry* ; Catalysis ; Glutathione Peroxidase/chemistry*

OBJECTIVE: To investigate the short-term efficacy and safety of low-dose venetoclax combined with CHG (cytarabine+homoharringtonine+G-CSF) priming regimen in patients with acute myeloid leukemia (AML) and high-risk myelodysplastic syndrome (MDS) ineligible for intensive chemotherapy. METHODS: The data of 14 patients with AML or high-risk MDS admitted to the department of hematology/oncology of the First Hospital of Tsinghua University and 2 cooperative institutions from July 2022 to August 2023 were retrospectively analyzed. All the patients were treated with low-dose venetoclax combined with CHG priming regimen and the early induction (one course) efficacy and adverse reactions were observed. RESULTS: Among the 14 patients, 10 were males and 4 were females, with a median age of 69.5 (46-83) years. After 1 cycle of induction chemotherapy, the complete remission (CR) rate was 64.3% (9/14) and overall response rate (ORR) was 78.6% (11/14). Among the 10 patients with adverse prognosis according to cytogenetics and molecular genetics, the CR rate was 50.0% (5/10), and ORR was 70.0% (7/10). In 7 patients with TP53 mutation, the CR rate was 42.9% (3/7) and ORR was 71.4% (5/7). In the 6 patients with complex karyotype, CR rate was 33.3% (2/6) and ORR was 66.7% (4/6). While the CR rate and ORR of 8 non-complex karyotype patients were both 87.5% (7/8), and the difference in CR rate between patients with complex karyotype and non-complex karyotype was statistically significant ( P < 0.05). The adverse reactions of chemotherapy were tolerable, without early treatment-related deaths. CONCLUSION Low-dose venetoclax combined with CHG priming regimen can be used as an effective treatment for AML and high-risk MDS patients who are ineligible for intensive chemotherapy, and it is safe and worthy of clinical application.
Humans ; Leukemia, Myeloid, Acute/drug therapy* ; Aged ; Male ; Female ; Sulfonamides/therapeutic use* ; Middle Aged ; Myelodysplastic Syndromes/drug therapy* ; Bridged Bicyclo Compounds, Heterocyclic/therapeutic use* ; Aged, 80 and over ; Retrospective Studies ; Cytarabine/administration & dosage* ; Antineoplastic Combined Chemotherapy Protocols/therapeutic use* ; Homoharringtonine/therapeutic use*

OBJECTIVE: This study aimed to explore the association between body mass index (BMI) and mortality based on the 10-year population-based multicenter prospective study. METHODS: A general population-based multicenter prospective study was conducted at four sites in rural China between 2013 and 2023. Multivariate Cox proportional hazards models and restricted cubic spline analyses were used to assess the association between BMI and mortality. Stratified analyses were performed based on the individual characteristics of the participants. RESULTS: Overall, 19,107 participants with a sum of 163,095 person-years were included and 1,910 participants died. The underweight (< 18.5 kg/m ²) presented an increase in all-cause mortality (adjusted hazards ratio [ aHR] = 2.00, 95% confidence interval [ CI]: 1.66-2.41), while overweight (≥ 24.0 to < 28.0 kg/m ²) and obesity (≥ 28.0 kg/m ²) presented a decrease with an aHR of 0.61 (95% CI: 0.52-0.73) and 0.51 (95% CI: 0.37-0.70), respectively. Overweight ( aHR = 0.76, 95% CI: 0.67-0.86) and mild obesity ( aHR = 0.72, 95% CI: 0.59-0.87) had a positive impact on mortality in people older than 60 years. All-cause mortality decreased rapidly until reaching a BMI of 25.7 kg/m ² ( aHR = 0.95, 95% CI: 0.92-0.98) and increased slightly above that value, indicating a U-shaped association. The beneficial impact of being overweight on mortality was robust in most subgroups and sensitivity analyses. CONCLUSION This study provides additional evidence that overweight and mild obesity may be inversely related to the risk of death in individuals older than 60 years. Therefore, it is essential to consider age differences when formulating health and weight management strategies.
Humans ; Body Mass Index ; China/epidemiology* ; Male ; Female ; Middle Aged ; Prospective Studies ; Rural Population/statistics & numerical data* ; Aged ; Follow-Up Studies ; Adult ; Mortality ; Cause of Death ; Obesity/mortality* ; Overweight/mortality*

Readiness for Hospital Discharge(RHD)refers to a multidimensional assessment of a patient's ability to transition safely from hospital to home,encompassing physiological stability,psychological preparedness,and social support adequacy.For patients requiring Home Nutrition Support(HNS),discharge readiness is particularly critical due to their heightened need for post-discharge specialized care,which significantly influences long-term recovery and quality of life.This paper reviews the concept,influencing factors,and unmet needs of RHD in patients with HNS and proposes targeted strategies to enhance discharge preparedness.By addressing gaps in current practices,we aim to optimize RHD in this vulnerable population and provide clinicians with evidence-based guidance for developing effective discharge plans.

Phosgene is a highly reactive chemical substance and a prevalent chemical warfare agent,and it is vitally important for rapid and accurate detection of phosgene to counteract terrorist threats and industrial accidents.In this work,a phosgene probe,designated as SX-Pho,which incorporated benzimidazole and hydroxyl groups as recognition motifs,was prepared through Suzuki coupling and Debus-Radziszewski methodologies to incorporate an electron-donating carbazole moiety.This probe exhibited a large Stokes shift(Approximately 130 nm).Upon exposure to triphosgene/triethylamine conditions(in situ phosgene generation),the fluorescence emission of probe at 470 nm underwent significant quenching,with a 20-fold reduction in intensity,while the fluorescence lifetime decreased from 3.30 ns to 3.06 ns.Concentration titration experiments demonstrated that SX-Pho achieved a lower detection limit of 57.8 nmol/L with high specificity and interference resistance.Preton nuclear magnetic resonance spectroscopy(1H NMR),high-resolution mass spectrometry,and density functional theory(DFT)calculations confirmed the cyclization reaction between hydroxyl groups,imines,and phosgene.The extent of overlap between the highest occupied molecular orbital(HOMO)and the lowest unoccupied molecular orbital(LUMO)was notably decreased,leading to the suppression of radiative transitions.The energy gap underwent a reduction of 0.43 eV,while the non-radiative transition was augmented,resulting in fluorescence quenching and achieving rapid detection of phosgene.Based on this,probe-loaded test strips were prepared.The color change under 365 nm illumination allowed visual discrimination of phosgene at concentrations below 20 μL/L.Furthermore,using a smartphone's built-in RGB application to measure the intensity of the blue(B)channel after the test strips were exposed to phosgene enabled both qualitative and quantitative detection.The detection range was 1.82-50 μL/L,with a limit of detection(LOD)of 1.814 μL/L.

Objective:To evaluate the predictive value of the Controlling Nutritional Status (CONUT) score for severe acute pancreatitis (SAP).Methods:A total of 426 patients with acute pancreatitis (AP) admitted to the First Affiliated Hospital of Zhengzhou University between January and December 2024 were retrospectively reviewed. After applying exclusion criteria, 189 patients were included and classified into non-severe AP (NSAP) and SAP groups according to diagnostic criteria. Demographic characteristics (age, sex, underlying diseases), vital signs, CONUT score, Bedside Index for Severity in Acute Pancreatitis (BISAP) score, and laboratory parameters (including complete blood count, blood glucose, liver and kidney function, coagulation profile, amylase, and lipase) on admission were compared between the two groups. Binary logistic regression was used to identify independent risk factors associated with AP severity. Receiver operating characteristic (ROC) curves were generated to assess the predictive performance of each indicator by determining the area under the curve (AUC), sensitivity, specificity, and optimal cutoff values.Results:Compared with the NSAP group, the SAP group had significantly longer hospital stays, higher respiratory rates, and elevated levels of PCT, CRP, absolute neutrophil count, AST, GGT, PT, D-dimer, INR, fibrinogen, FDP, as well as higher CONUT, SIRS, and BISAP scores (all P < 0.05). In contrast, the NSAP group showed significantly higher red blood cell count, hemoglobin, absolute lymphocyte count, serum calcium, albumin, total cholesterol, prothrombin time activity, and PNI score (all P < 0.05). Binary logistic regression analysis identified CONUT score ( OR = 1.623, 95% CI: 1.048–2.512) and BISAP score ( OR = 19.608, 95% CI: 6.585–58.387) as independent risk factors for disease severity. The AUC values for predicting SAP using CONUT score, BISAP score, and their combination were 0.694, 0.815, and 0.864, respectively. Conclusions:The CONUT score is an early independent risk factor for SAP. Combining CONUT with BISAP scores provides better predictive performance for assessing the severity of acute pancreatitis.

Objective To analyze the risk factors for extrauterine growth retardation(EUGR)in late preterm infants appropriate for gestational age.Methods The clinical data in 1 402 preterm infants appropri-ate for gestational age delivered and hospitalized in this hospital from January 2016 to June 2022 were analyzed retrospectively.They were divided into the EUGR group(n=244)and the non-EUGR group(n=1 158)ac-cording to whether or not the body weight at discharge was below the 10th percentile of the growth curve for the same gestational age at the same period based on the Fenton's preterm growth curve.The clinical data of preterm infants and mothers of the two groups were collected.The risk factors for EUGR occurrence in pre-mature infants were analyzed.Results Among 1 402 preterm infants appropriate for gestational age,EUGR occurred in 244 cases with the EUGR incidence rate of 17.4％.The EUGR incidence rate had no statistical difference among the different fetal ages of premature infants(P＞0.05).The EUGR incidence rate had sta-tistical difference among different birth weights of premature infants(P＜0.05).The logistic regression anal-ysis showed that male(OR=1.694,95％CI:1.144-2.507),low birth weight(OR=0.989,95％CI:0.988-0.991),feeding intolerance(OR=2.719,95％CI:1.234-5.990),short gestational weeks(OR=0.146,95％CI:0.103-0.207)and hospitalization duration extension(OR=1.073,95％CI:1.031-1.117)were the risk factors for EUGR occurrence in late premature infants appropriate for gestational age in discharge.The sub-group analysis showed that male,low birth weight,feeding intolerance and hospitalization duration extension were the risk factors for EUGR occurrence in the preterm infants with gestational ages of 34-＜36 weeks(P＜0.05).Low birth weight and feeding intolerance only affected the preterm infants≥36 weeks of gesta-tional age(P＜0.05).Conclusion Strengthening the pregnant duration health care and active nutritional sup-port after birth may reduce the risk of EUGR occurrence in late premature infants.

This data article describes the"Typical Regional Activity Patterns"(TRAP)dataset,which is based on the Tackling Key Problems in Air Pollution Control Program.In order to explore the interaction between air pollution and physical activity,we collected activity patterns of 9,221 residents with different occupations and lifestyles for three consecutive days in typical regions(Jinan and Baoding)where air pollutant concentrations were higher than those in neighboring areas.The TRAP dataset consists of two aspects of information:demographic indicators(personal information,occupation,personal habits,and living situation)and physical activity pattern data(activity location and intensity);additionally,the exposure measures of physical activity patterns are included,which data users can match to various endpoints for their specific purpose.This dataset provides evidence for exploring the attributes of activity patterns of residents in northern China and for interdisciplinary researchers to develop strategies and measures for health education and health promotion.