Knee osteoarthritis (KOA) is a prevalent degenerative joint disease characterized by synovial inflammation, cartilage loss. Often manifesting as joint pain and limited mobility, it severely affects the quality of life of patients. Traditional treatment methods such as pharmacological injections and surgical interventions primarily aim to alleviate symptoms but have limited effects on cartilage repair. Human umbilical cord mesenchymal stem cells (hUC-MSCs), due to their anti-inflammatory and chondrogenic capabilities, is considered a new hope for the treatment of KOA. This article synthesizes the latest research findings from both domestic and international sources to discuss the theoretical basis for the clinical application of hUC-MSCs in treating KOA, clinical study design, and efficacy evaluation. It also addresses the challenges in the clinical application of hUC-MSCs and explores future directions, in the hope of providing feasible theoretical support for the treatment of KOA with hUC-MSCs.

Immobilized enzyme-based enzyme electrode biosensors, characterized by high sensitivity and efficiency, strong specificity, and compact size, demonstrate broad application prospects in life science research, disease diagnosis and monitoring, etc. Immobilization of enzyme is a critical step in determining the performance (stability, sensitivity, and reproducibility) of the biosensors. Random immobilization (physical adsorption, covalent cross-linking, etc.) can easily bring about problems, such as decreased enzyme activity and relatively unstable immobilization. Whereas, directional immobilization utilizing amino acid residue mutation, affinity peptide fusion, or nucleotide-specific binding to restrict the orientation of the enzymes provides new possibilities to solve the problems caused by random immobilization. In this paper, the principles, advantages and disadvantages and the application progress of enzyme electrode biosensors of different directional immobilization strategies for enzyme molecular sensing elements by specific amino acids (lysine, histidine, cysteine, unnatural amino acid) with functional groups introduced based on site-specific mutation, affinity peptides (gold binding peptides, carbon binding peptides, carbohydrate binding domains) fused through genetic engineering, and specific binding between nucleotides and target enzymes (proteins) were reviewed, and the application fields, advantages and limitations of various immobilized enzyme interface characterization techniques were discussed, hoping to provide theoretical and technical guidance for the creation of high-performance enzyme sensing elements and the manufacture of enzyme electrode sensors.

Background Asthma poses a serious threat to children's growth, development, and mental health, thus there has been an increasing focus on the control of asthma morbidity in children and the assessment of its risk factors. A growing body of research has found that exposure to ambient air pollutants an significatly increase the risk of childhood asthma. Objective To understand the changes of ambient air pollutant concentrations in Nanjing and asthma outpatient visits to Nanjing Children's Hospital, and to quantitatively analyze the effects of exposure to different ambient air pollutants on children's asthma outpatient visits. Methods Daily data of ambient air pollutants fine particulate matter (PM_2.5), inhalable particle (PM₁₀), sulfur dioxide (SO₂), nitrogen dioxide (NO₂), carbon monoxide (CO), ozone (O₃), meteorological factors (air temperature & relative humidity), and outpatient visits due to asthma in the hospital from January 1, 2019 to December 31, 2023 were collected, and a generalized additive model based on quasi poisson distributions was used to quantitatively analyze the short-term effects of ambient air pollutant exposure on outpatient visits due to asthma in the hospital. Results The annual average concentrations of PM_2.5, PM₁₀, SO₂, and NO₂ in Nanjing from 2019 to 2023 did not exceed the national limits. For single-day lagged effects, the single-pollutant model showed that the effects of PM_2.5, PM₁₀, NO₂, and CO on children's asthma outpatient visits were greatest for every 10 units increase at lag0, with excess risk (ER) of 1.39% (95%CI: 0.65%, 2.14%), 1.46% (95%CI: 0.97%, 1.95%), 5.46% (95%CI: 4.36%, 6.57%), and 0.18% (95%CI: 0.11%, 0.26%), respectively, and SO₂ reached the maximum effect at lag1, with an ER of 23.15% (95%CI: 13.57%, 33.53%) for each 10 units increase in concentration. Different pollutants reached their maximum cumulative lag effects at different time. The PM₁₀, PM_2.5, SO₂, NO₂, and CO showed the largest cumulative lag effects at lag01, lag01, lag02, lag02, and lag03, respectively, with ERs of 1.35% (95%CI: 0.77%, 1.92%), 0.96% (95%CI: 0.10%, 1.83%), 28.50% (95%CI: 15.49%, 42.98%), 6.92% (95%CI: 5.53%, 8.33%), and 0.31% (95%CI: 0.20%, 0.42%), respectively. The influences of PM_2.5 and PM₁₀ on outpatient visits due to asthma in the hospital became more pronounced with advancing age, while the associations with NO₂, SO₂, and CO were weakened as children grew older. Conclusion Ambient air pollutants (PM_2.5, PM₁₀, SO₂, NO₂, CO) can increase childhood asthma visits, and different pollutants have varied effects on the number of asthmatic children's visits at different ages.

The present study employed UPLC-MS/MS to analyze and identify compounds in the raw powder of Tongluo Shenggu capsules. An HPLC method for the determination of vitexin content was established. The analysis of this drug was performed on a 30 ℃ thermostatic Acquity UPLC® BEH C18 (2.1 mm×100 mm,1.7 μm) column, with the mobile phase comprising 0.2% formic acid-methanol flowing at 0.3 mL /min in a gradient elution manner. Mass spectrometry was detected by ESI sources in both positive and negative ion modes for qualitative identification of chemical constituents. 12 flavonoid and 3 stilbenes compounds in the raw powder of Tongluo Shenggu capsules were successfully identified. Additionally, an HPLC method for the determination of vitexin content was established using a XBridge C18 column (4.6 mm × 250 mm, 5 µm) with a mobile phase of 0.05% glacial acetic acid in methanol for gradient elution, at a column temperature of 30 °C, a flow rate of 1.0 mL/min, and an injection volume of 20 μL. The method demonstrated good linearity in the concentration range of 10 µg/mL to 40 µg/mL (R=1.000) with an average recovery rate of 96.7%. The establishment of these methods provides a scientific basis for the quality control and development of the raw powder of Tongluo Shenggu capsules.

Objective: To construct a hypertension risk prediction model for residents aged 18-79 years, so as to provide an assessment tool for early screening and prevention of hypertension in high-risk groups. Methods: The permanent residents aged 18-79 years from 6 townships (streets) in Fangshan District of Beijing Municipality were selected as the study subjects using a multi-stage stratified random sampling method from March to June 2023. Demographic information, lifestyle, body mass index (BMI), blood pressure, fasting blood glucose, and blood lipid were collected through questionnaire survey, physical examination, and laboratory tests. Subjects were randomly divided into training and validation sets at a 7∶3 ratio. The logistic regression model was used to screen the risk factors of hypertension, and a hypertension risk prediction nomogram was constructed. Receiver operating characteristic (ROC) curve, calibration curve, and decision curve analysis were used to verify the discrimination, fit, and clinical application value of the model. Results: A total of 4 438 subjects were included, including 2 365 males (53.29%) and 2 073 females (46.71%), with a mean age of (44.99±14.90) years. The prevalence of hypertension was 35.29% (1 566 cases), and the standardized prevalence was 24.74%. The logistic regression model screened out 9 influencing factors of hypertension. The nomogram was established as ln[p/ (1-p)]= -2.873 + 0.935×40-<50 years + 1.463×50-<60 years + 1.908×60-<70 years + 2.346×70-79 years + 0.298×male-0.675×college degree or above + 0.384×smoking + 0.227×drinking + 0.572×overweight + 1.449×obesity + 0.557×heart rate ≥80 beats/min + 0.428×diabetes + 0.484×dyslipidemia. The area under the ROC curve of the validation set was 0.821 (95%CI: 0.798-0.843), and the calibration curve results showed that the calibration curve fitted the actual curve well. Decision curve analysis showed that the threshold probability was in the range of 0.10 to 0.70, and the model had good predictive value and clinical application value. Conclusion The nomogram based on age, gender, educational level, smoking, drinking, body mass index, heart rate, diabetes, and dyslipidemia can be used to predict the risk of hypertension among residents aged 18-79 years.

Decoction is the most commonly used dosage form in the clinical treatment of traditional Chinese medicine (TCM). During boiling, the violent movement of various active ingredients in TCM creates molecular forces such as hydrogen bonding, π-π stacking, hydrophobic interactions and electrostatic interactions, which results in the formation of self-assembled aggregates in decoction (SADs), including particles, gels, fibers, etc. It was found that SADs widely existed in decoction with biological activities superior to both effective monomers and their physical mixtures, providing a new idea to reveal the pharmacodynamic material basis of Chinese herbal medicine from the perspective of component interactions-phase structure. Recently, SADs have become a novel focus of research in TCM. This paper reviewed their relevant studies in recent years and found some issues to be concerned in the research, such as the polydispersity of decoction system, instability of active ingredient interactions during boiling, uncertainty of the aggregates self-assembly rules, and stability, purity, yield of the products. In this regard, some solutions and new ideas were presented for the integrated development and clinical application of SADs.

Objective: To investigate the prevalence, awareness, treatment and control rates of diabetes among residents in Fangshan District, Bejing Municipality, so as to provide reference for strengthening the prevention and control of diabetes. Methods: The residents aged 18 to 79 years were selected in Fangshan District using multistage stratified cluster sampling method from March to June 2023. Demographic information, lifestyle, body mass index, fasting blood glucose, and blood lipid were collected through questionnaire surveys, physical examinations and laboratory tests. The prevalence, awareness, treatment and control rates of diabetes among residents were analyzed and their influencing factors were identified using a multivariable logistic regression model. Results: A total of 4 438 residents were enrolled, including 2 367 males (53.33%) and 2 071 females (46.67%), and had a mean age of (44.99±14.90) years. The prevalence, awareness, treatment and control rates of diabetes were 15.75%, 57.37%, 56.22% and 22.90%, respectively. Multivariable logistic regression analysis showed that age (aged 30 to 39 years, OR=1.624, 95%CI: 1.011-2.609; aged 40 to 49 years, OR=3.469, 95%CI: 2.163-5.561; aged 50 to 59 years, OR=4.202, 95%CI: 2.595-6.803; aged 60 to 69 years, OR=7.229, 95%CI: 4.406-11.862; aged 70 to 79 years, OR=7.929, 95%CI: 4.665-13.479), obesity (OR=1.368, 95%CI: 1.071-1.748), hypertension (OR=1.943, 95%CI: 1.601-2.359) and dyslipidemia (OR=2.754, 95%CI: 2.287-3.317) were the factors affecting the prevalence of diabetes. Sex (women, OR=1.529, 95%CI: 1.019-2.293), age (aged 40 to 49 years, OR=4.971, 95%CI: 1.681-14.698; aged 50 to 59 years, OR=6.070, 95%CI: 2.045-18.020; aged 60 to 69 years, OR=6.902, 95%CI: 2.287-20.832; aged 70 to 79 years, OR=6.954, 95%CI: 2.191-22.070) and hypertension (OR=1.906, 95%CI: 1.337-2.718) were the factors affecting the awareness of diabetes. Age (aged 40 to 49 years, OR=4.699, 95%CI: 1.594-13.855; aged 50 to 59 years, OR=5.990, 95%CI: 2.023-17.732; aged 60 to 69 years, OR=7.134, 95%CI: 2.370-21.470; aged 70 to 79 years, OR=6.639, 95%CI: 2.102-20.964) and hypertension (OR=1.857, 95%CI: 1.304-2.645) were the factors affecting the treatment of diabetes. Age (aged 40 to 49 years, OR=2.948, 95%CI: 1.349-6.438; aged 60 to 69 years, OR=2.344, 95%CI: 1.049-5.234) was the factor affecting the control of diabetes. Conclusions The prevalence rate of diabetes among residents in Fangshan District was high, and the improvements of awareness rate, treatment rate and control rate were not obvious. Health education and management of diabetes should be strengthened for elderly, hypertensive and dyslipidemic residents.

ObjectiveTo explore the drug resistance of Morganella morganii （Mm） and the risk factors for extended-spectrum β-lactamase （ESBL） positive infection in type 2 diabetes foot （DF） patients with Mm， and to provide a reference for clinical treatment. Methods310 samples of DF patients with Mm infection were collected from Shanghai Integrated Traditional Chinese and Western Medicine Hospital Affiliated to Shanghai University of Traditional Chinese Medicine from January 2020 to March 2023. The patients were selected for the first time to detect Mm bacteria through cultivation， and were divided into ESBL producing group （n=45） and non ESBL producing group （n=265）. Bacterial identification and drug sensitivity experiments on Mm were conducted. Multivariate logistic regression analysis was used to analyze the risk factors. The stepwise regression method （SRM） was used to screen the most important correlation factors for constructing risk prediction model and its evaluation. ResultsBoth ESBL producing and non ESBL producing Mm were sensitive to imipenem （IPM） and meropenem （MEM）. Compared with the non ESBL producing group， the resistance of Mm in the ESBL producing group to other tested antibiotics ［excluding ampicillin （AM）/sulbactam （SU）］ was higher （P<0.05）. Aged ≥60 years old， concomitant hypoproteinemia （HP）， combined use of antibiotics， and history of third-generation cephalosporin use were all independent risk factors for the occurrence of ESBL producing strain infection （P<0.05）. SRM screening identified age， HP， and use of third-generation cephalosporins as the most associated factors with ESBL producing strain infection， and these three factors were included in the multivariate logistic regression prediction model. After calculation， when P=0.80， the Jordan index was the highest and the prediction effect was the best. The prediction accuracy was 89.35%， the sensitivity was 86.67%， and the specificity was 89.81%. The model evaluation results showed that the predictive model has good discrimination and high accuracy. ConclusionThe Mm strain producing ESBL has strong resistance to commonly used antibiotics， and it is recommended that clinical physicians use antibiotics reasonably. Age， HP， combined use of antibiotics， and use of third-generation cephalosporins are all independent risk factors for the occurrence of ESBL producing bacterial infections. Clinical monitoring should be carried out on susceptible populations based on risk factors， and infection management should be strengthened.

This study utilized a chiral liquid chromatography-mass spectrometry (LC-MS)-guided isolation strategy to accurately capture angular-type pyranocoumarins (APs) in Peucedani Radix (Chinese name: Qianhu). Sixteen APs were successfully purified from the ethyl acetate extract of Peucedani Radix through deploying various techniques such as silica gel, ODS, Sephadex LH-20, and achiral (chiral) semi-preparative liquid chromatography. After extensive structural measurements, such as ¹H and ¹³C NMR spectroscopy, their structures were identified as (3′S)-3′-(2-methyl-butyroyl)-4′-oxo-3′,4′-dihydroseselin (1A), (3′R)-3′-(2-methyl-butyroyl)-4′-oxo-3′,4′-dihydroseselin (1B), (3′S)-3′-isovaleryl-4′-oxo-lomatin (2A), (3′R)-3′-isovaleryl-4′-oxo-lomatin (2B), (3′S)-3′-angeloyloxy-4′-oxo-3′,4′-dihydroseselin (3A), (3′R)-3′-angeloyloxy-4′-oxo-3′,4′-dihydroseselin (3B), (3′S,4′S)-praeruptorin B (4A), (3′R,4′R)-praeruptorin B (4B), (3′S,4′S)-praeruptorin E (5A), (3′R,4′R)-praeruptorin E (5B), 3′-isovaleryl-4′-angeloyl-cis-khellactone (6), 3′-angeloyl-4′-(2-methyl-butyroyl)-cis-khellactone (7), (3′S,4′S)-praeruptorin A (8A), (3′R,4′R)-praeruptorin A (8B), (3′S,4′S)-khellactone (9A), and (3′R,4′R)-khellactone (9B), respectively. Thereof, compounds 1A and 1B were new compounds, while compound 2A represents a new configuration for a known planar structure. Compounds 2A and 2B were isolated for the first time from Peucedani Radix. Above all, chiral LC-MS-guided isolation strategy is advantageous at rapid capturing new compounds from herbal medicines, providing an effective means for the separation of novel structures, especially new enantiomers.

After entering the body from the drug delivery site, antitumor nanomedicines need to cross a series of physiopathological barriers to reach the target site of action to effectively exert antitumor therapeutic effects. The ligand modification strategy is a classic method to enhance the efficiency of nanomedicine delivery in vivo, but the contradiction between the single ligand modification strategy, which is characterized by unity and stage, and the in vivo delivery process, which is characterized by versatility and whole-process characteristics, determines that nanomedicines modified by a single ligand alone cannot satisfy the target efficacy requirements. Therefore, the use of multiligand combinatorial modification strategies by virtue of nanomedicine surface area advantages is key to advancing the next generation of smart nanomedicines. In this paper, on the basis of summarizing and classifying the commonly used functional ligands for in vivo delivery, the advantages and research progress of multiligand combination modification of antitumor nanomedicines are discussed with special focus, and the multiligand combination modification is classified as synergistic and complementary according to the combination of the ligands, which is of great significance to ensure that antitumor nanomedicines can overcome the multiple physiopathological barriers to achieve precise delivery.