1.Dual-Center Clinical Study on Detection of Intraoperative Air Leak During Pulmonary Resection Using Nebulized Indocyanine Green
Zhenfan WANG ; Songjing ZHAO ; Ruiheng JIANG ; Zhuoer CUI ; Yingtai CHEN ; Jian ZHOU ; Kezhong CHEN ; Yun LI
Medical Journal of Peking Union Medical College Hospital 2026;17(3):646-651
To evaluate the clinical value of nebulized indocyanine green(ICG) combined with near-infrared fluorescence imaging for intraoperative detection of air leaks during pulmonary resection. This was a two-center randomized controlled trial enrolling patients undergoing thoracoscopic pulmonary resection. After enrollment, patients were randomly divided into an experimental group and a control group. The experimental group received nebulized ICG and fluorescence imaging in addition to the conventional water immersion test, while the control group underwent the water immersion test alone. Intraoperative air leak detection and postoperative air leak incidence were compared between the two groups. Multivariable logistic regression analysis was performed to assess the association between ICG nebulization intervention and postoperative air leaks after adjusting for confounding factors including age, sex, smoking history, history of respiratory disease, surgical procedure, and study center. A total of 181 patients were enrolled(90 in the experimental group, 91 in the control group). The experimental group showed significantly higher intraoperative air leak detection rate(37.8% Nebulized ICG combined with near-infrared fluorescence imaging significantly improves intraoperative detection of air leaks, reduces the incidence of postoperative air leaks, and shortens chest tube duration. This technique is convenient, safe, and holds important clinical value for application.
2.Atelocollagen Improves Bone-to-Tendon Interface Healing in a Rabbit Model of Chronic Rotator Cuff Tear Compared with Polydeoxyribonucleotide
Jian HAN ; Zhan-Feng ZHANG ; Shen-Yun FANG ; Yun-Mei CUI ; Sheng Chen HAN
Clinics in Orthopedic Surgery 2026;18(1):167-175
Background:
Surgeons face challenges in selecting cost-effective and biologically active agents for rotator cuff healing, given the numerous commercial products available, such as polydeoxyribonucleotide (PDRN) and atelocollagen (ATC). However, the precise efficacy of PDRN and ATC in rotator cuff healing remains debatable, and there is currently a lack of studies directly comparing the effects of the 2 agents on repaired cuff tendons. Therefore, the purpose of this study was to compare the efficacy of PDRN and ATC on bone-to-tendon interface (BTI) healing using a chronic rotator cuff tear (RCT) model in rabbits.
Methods:
Forty-eight rabbits were randomly divided into 3 groups. To create chronic RCT models, transected tendons were left untreated for 6 weeks, and then were repaired in a transosseous manner with PDRN and ATC injection into the repair site according to group allocation (group A: saline, group B: PDRN, group C: ATC; n = 16 per group). Genetic and immunofluorescence analyses were performed at 4 weeks after surgery. Furthermore, genetic, histologic, and biomechanical analyses were performed at 12 weeks after surgery.
Results:
At 4 weeks after surgery, ATC-injected shoulders showed the highest mRNA expression levels of collagen type I alpha 1 and aggrecan compared to the other 2 groups (p < 0.001 and p = 0.002, respectively). Meanwhile, there was more preliminary fibrocartilaginous matrix formation in the ATC-injected group. At 12 weeks after surgery, ATC-injected shoulders demonstrated better collagen fiber continuity and orientation, denser collagen fibers, a more mature bone-to-tendon junction, and greater fibrocartilage layer formation compared to the other 2 groups (all p < 0.001). Furthermore, ATC-injected shoulders also demonstrated a significantly higher load-to-failure value (40.4 ± 4.5 N/kg) than the remaining groups (group A, 26.7 ± 3.0 N/kg; group B, 32.8 ± 4.2 N/kg; p < 0.001).
Conclusions
ATC demonstrated superior efficacy in promoting BTI healing following surgical repair in a chronic RCT model of rabbits.
3.Inverse Association Between Alcohol Consumption and Parkinson’s Disease Risk and Identification of RIT2 as a Linked Biomarker
Wei LU ; Xiu-Li CHENG ; Xiao-Yun PAN ; Dan-Dan YANG ; Hui-Ling ZOU ; Li-Guo DONG ; Yi-Liang WEI ; Gui-Yun CUI
Progress in Biochemistry and Biophysics 2026;53(6):1723-1733
ObjectiveAs a common lifestyle habit, alcohol consumption has a controversial association with the onset of Parkinson’s disease (PD). To demonstrate the correlation between alcohol consumption and PD and to identify associated genes, we integrated findings from clinical surveys, genomics, transcriptomics, and animal experiments. MethodsWe investigated the alcohol consumption rates (including both before and after disease onset) among 244 PD patients in China and 177 PD patients from the U.S. NHANES database. Mendelian randomization (MR) analysis was performed using genome-wide association study (GWAS) data for three alcohol-related traits and seven PD-related datasets from the MRC IEU OpenGWAS database. Transcriptomic data from the substantia nigra of PD patients were obtained from three GEO datasets (GSE7621, GSE20141, and GSE49036) to analyze RIT2 gene transcription. Finally, three groups of animal experiments (water/20% ethanol/20% liquor, with 4 C57BL/6J mice per group) were conducted to examine changes in brain RIT2 gene expression and transcriptomic profiles following alcohol consumption. ResultsThe alcohol consumption rates among PD patients in China and the U.S. (9%-18.87%) were significantly lower than the general population rates of 15%-45% in their respective regions (P<0.001), suggesting a possible negative association between alcohol consumption and PD. Subsequently, in 21 bidirectional MR analyses using 3 alcohol-related GWAS datasets and 7 PD-related GWAS datasets, the forward MR analyses (alcohol intake as exposure, PD as outcome) yielded 12 negative associations (ORIVW<1) and 9 positive associations (ORIVW>1). Among these, only two negative associations reached statistical significance: alcohol intake frequency (ORIVW=0.75, 95% CI: 0.60-0.93, P=0.010) and alcohol consumption (ORIVW=0.20, 95% CI: 0.05-0.83, P=0.026). The forward MR analysis (alcohol intake→PD) identified 235 SNPs, annotated to 316 genes, while the reverse MR analyses (PD→alcohol intake) identified 37 SNPs, annotated to 53 genes. Notably, only the RIT2 gene appeared in both the forward and reverse MR analyses (alcohol intake→PD: rs28597806, rs8083110; PD→alcohol intake: rs4588066). RIT2 is selectively expressed in the human brain (FPKM: 5.259±2.103), with low or no expression in peripheral tissues (FPKM: <1). Analysis of three human substantia nigra transcriptomic datasets revealed a decreasing trend in RIT2 gene expression in PD patients (GSE20141 array signal: 3.49±1.23 vs. 2.33±0.87, P=0.044). Animal experiments demonstrated that administration of 20% ethanol or 20% liquor (approximately 8% ethanol) stimulated a >2-fold upregulation of RIT2 gene expression in the mouse brain. Furthermore, transcriptomic sequencing revealed that the two alcohol-treated groups exhibited 96 (20% ethanol vs. water control) and 4 (20% liquor vs. water control) differentially expressed genes, respectively, indicating that low-dose alcohol consumption can achieve RIT2 upregulation while minimizing impact on other brain genes. In addition to its anti-infective effects, low-dose alcohol consumption primarily influences signaling pathways related to neurodegenerative diseases such as PD and Prion diseases. ConclusionAlcohol consumption is generally considered as a harmful lifestyle habit. However, some studies have also shown a lower risk of mortality among individuals who consume low doses of alcohol (100 g/week of ethanol) or drink occasionally. Currently, one of the research focuses on alcohol consumption is whether the human body can benefit from low-dose alcohol intake. This study provides new evidence supporting a negative association between alcohol consumption and PD, and for the first time, through MR analysis, identifies the RIT2 gene as a potential mediator of the effect of alcohol consumption on PD. RIT2 is selectively expressed in the human brain. Building upon existing evidence indicating downregulated RIT2 gene expression in PD pathogenesis, our experiments confirm that low-dose alcohol consumption can upregulate RIT2 expression in the brain. In brief, alcohol consumption may suppress the pathogenesis of PD by upregulating RIT2 expression in the substantia nigra. China is facing a serious problem of population aging. This study offers important insights for long-term PD prevention and treatment strategies, with the aim of benefiting more potential PD patients through lifestyle modifications, thereby improving the quality of life of the aging population and reducing the economic burden on healthcare.
4.Treating Cough Variant Asthma from Wind Pathogen
Journal of Traditional Chinese Medicine 2025;66(12):1286-1289
It is believed that wind pathogen lingering in the lungs is the key factor in the pathogenesis of cough variant asthma. Among these, external wind-induced cough is the main trigger, while internal wind hidden in the lung plays an important role in promoting the disease. Weakness of the zang-fu organs is the fundamental cause of recurrent attacks, especially closely related to deficiencies in the lungs, spleen and kidneys. The primary treatment principles proposed are dispelling wind and relieving cough, as well as tonifying deficiency and supporting the upright qi. Clinical practice should integrate differentiation of the root and branch as well as excess and deficiency, applying staged treatment. During the acute attack phase, the focus is on dispelling wind and stopping cough, supplemented by tonification. During the remission phase, tonifying deficiency and supporting the upright qi is emphasized, with coordinated regulation of the lungs, spleen and kidneys alongside clearing residual pathogens, so that the pathogenic are eliminated and the body restored, leading to natural resolution of cough and reversal of adverse qi flow.
5.Further Recognization of Disease Name in Traditional Chinese Medicine for Knee Osteoarthritis Based on Micropathologic Phenotypes
Hongfei WU ; Yushi CUI ; Yun GAO ; Shuai ZHANG ; Mingyuan WANG ; Xingping ZHANG ; Zhilong ZHANG
Journal of Traditional Chinese Medicine 2025;66(11):1089-1093
This paper interprets the disease name related to bi (痹) disease in traditional Chinese medicine (TCM) from the perspective of micropathological phenotypes in knee osteoarthritis (KOA). By systematically reviewing classical TCM literature on the pathogenesis and clinical features of different subtypes such as damp-retention bi, bone bi, and tendon bi, and integrating these with current research on pathological subtypes of KOA including the synovitis type, cartilage-meniscus type, and subchondral bone type, the study explores the correlation between traditional disease terms and modern micropathological phenotypes. The author proposes subtype classifications of damp-retention bi corresponding to synovial inflammation, bone bi related to abnormal subchondral bone remodeling, and tendon bi representing cartilage and meniscus degeneration. This approach provides a microscopic biological explanation for TCM syndrome differentiation and offers new perspectives for advancing integrative diagnostic and therapeutic strategies in both Chinese and western medicine.
6.A synthetic peptide, derived from neurotoxin GsMTx4, acts as a non-opioid analgesic to alleviate mechanical and neuropathic pain through the TRPV4 channel.
ShaoXi KE ; Ping DONG ; Yi MEI ; JiaQi WANG ; Mingxi TANG ; Wanxin SU ; JingJing WANG ; Chen CHEN ; Xiaohui WANG ; JunWei JI ; XinRan ZHUANG ; ShuangShuang YANG ; Yun ZHANG ; Linda M BOLAND ; Meng CUI ; Masahiro SOKABE ; Zhe ZHANG ; QiongYao TANG
Acta Pharmaceutica Sinica B 2025;15(3):1447-1462
Mechanical pain is one of the most common causes of clinical pain, but there remains a lack of effective treatment for debilitating mechanical and chronic forms of neuropathic pain. Recently, neurotoxin GsMTx4, a selective mechanosensitive (MS) channel inhibitor, has been found to be effective, while the underlying mechanism remains elusive. Here, with multiple rodent pain models, we demonstrated that a GsMTx4-based 17-residue peptide, which we call P10581, was able to reduce mechanical hyperalgesia and neuropathic pain. The analgesic effects of P10581 can be as strong as morphine but is not toxic in animal models. The anti-hyperalgesic effect of the peptide was resistant to naloxone (an μ-opioid receptor antagonist) and showed no side effects of morphine, including tolerance, motor impairment, and conditioned place preference. Pharmacological inhibition of TRPV4 by P10581 in a heterogeneous expression system, combined with the use of Trpv4 knockout mice indicates that TRPV4 channels may act as the potential target for the analgesic effect of P10581. Our study identified a potential drug for curing mechanical pain and exposed its mechanism.
7.Histaminergic Innervation of the Ventral Anterior Thalamic Nucleus Alleviates Motor Deficits in a 6-OHDA-Induced Rat Model of Parkinson's Disease.
Han-Ting XU ; Xiao-Ya XI ; Shuang ZHOU ; Yun-Yong XIE ; Zhi-San CUI ; Bei-Bei ZHANG ; Shu-Tao XIE ; Hong-Zhao LI ; Qi-Peng ZHANG ; Yang PAN ; Xiao-Yang ZHANG ; Jing-Ning ZHU
Neuroscience Bulletin 2025;41(4):551-568
The ventral anterior (VA) nucleus of the thalamus is a major target of the basal ganglia and is closely associated with the pathogenesis of Parkinson's disease (PD). Notably, the VA receives direct innervation from the hypothalamic histaminergic system. However, its role in PD remains unknown. Here, we assessed the contribution of histamine to VA neuronal activity and PD motor deficits. Functional magnetic resonance imaging showed reduced VA activity in PD patients. Optogenetic activation of VA neurons or histaminergic afferents significantly alleviated motor deficits in 6-OHDA-induced PD rats. Furthermore, histamine excited VA neurons via H1 and H2 receptors and their coupled hyperpolarization-activated cyclic nucleotide-gated channels, inward-rectifier K+ channels, or Ca2+-activated K+ channels. These results demonstrate that histaminergic afferents actively compensate for Parkinsonian motor deficits by biasing VA activity. These findings suggest that targeting VA histamine receptors and downstream ion channels may be a potential therapeutic strategy for PD motor dysfunction.
Animals
;
Histamine/metabolism*
;
Male
;
Oxidopamine/toxicity*
;
Rats
;
Ventral Thalamic Nuclei/physiopathology*
;
Rats, Sprague-Dawley
;
Disease Models, Animal
;
Parkinson Disease/metabolism*
;
Neurons/physiology*
;
Humans
;
Optogenetics
8.Development of a machine learning-based risk prediction model for mild cognitive impairment with spleen-kidney deficiency syndrome in the elderly.
Ya-Ting AI ; Shi ZHOU ; Ming WANG ; Tao-Yun ZHENG ; Hui HU ; Yun-Cui WANG ; Yu-Can LI ; Xiao-Tong WANG ; Peng-Jun ZHOU
Journal of Integrative Medicine 2025;23(4):390-397
OBJECTIVE:
As an age-related neurodegenerative disease, the prevalence of mild cognitive impairment (MCI) increases with age. Within the framework of traditional Chinese medicine, spleen-kidney deficiency syndrome (SKDS) is recognized as the most frequent MCI subtype. Due to the covert and gradual onset of MCI, in community settings it poses a significant challenge for patients and their families to discern between typical aging and pathological changes. There exists an urgent need to devise a preliminary diagnostic tool designed for community-residing older adults with MCI attributed to SKDS (MCI-SKDS).
METHODS:
This investigation enrolled 312 elderly individuals diagnosed with MCI, who were randomly distributed into training and test datasets at a 3:1 ratio. Five machine learning methods, including logistic regression (LR), decision tree (DT), naive Bayes (NB), support vector machine (SVM), and gradient boosting (GB), were used to build a diagnostic prediction model for MCI-SKDS. Accuracy, sensitivity, specificity, precision, F1 score, and area under the curve were used to evaluate model performance. Furthermore, the clinical applicability of the model was evaluated through decision curve analysis (DCA).
RESULTS:
The accuracy, precision, specificity and F1 score of the DT model performed best in the training set (test set), with scores of 0.904 (0.845), 0.875 (0.795), 0.973 (0.875) and 0.973 (0.875). The sensitivity of the training set (test set) of the SVM model performed best among the five models with a score of 0.865 (0.821). The area under the curve of all five models was greater than 0.9 for the training dataset and greater than 0.8 for the test dataset. The DCA of all models showed good clinical application value. The study identified ten indicators that were significant predictors of MCI-SKDS.
CONCLUSION
The risk prediction index derived from machine learning for the MCI-SKDS prediction model is simple and practical; the model demonstrates good predictive value and clinical applicability, and the DT model had the best performance. Please cite this article as: Ai YT, Zhou S, Wang M, Zheng TY, Hu H, Wang YC, Li YC, Wang XT, Zhou PJ. Development of a machine learning-based risk prediction model for mild cognitive impairment with spleen-kidney deficiency syndrome in the elderly. J Integr Med. 2025; 23(4): 390-397.
Humans
;
Cognitive Dysfunction/diagnosis*
;
Aged
;
Male
;
Female
;
Machine Learning
;
Spleen
;
Aged, 80 and over
;
Kidney
;
Medicine, Chinese Traditional
9.Diverse Subtypes of Cardiovascular Disease Risk Evaluated by Novel PREVENT Associated with Different Polycyclic Aromatic Hydrocarbon Metabolites.
Ye XIN ; Yu Cheng SUN ; Lin CHEN ; Feng Tao CUI ; Ying Ge DUAN ; Han Yun WANG ; Li CHEN ; Tian CHEN ; Pi Ye NIU ; Jun Xiang MA
Biomedical and Environmental Sciences 2025;38(10):1217-1229
OBJECTIVE:
To investigate the association of various polycyclic aromatic hydrocarbon (PAH) metabolites with diverse subtypes of cardiovascular disease (CVD) risk.
METHODS:
A novel predicting risk of cardiovascular disease EVENTs PREVENT equation was used to estimate the 10-year diverse subtypes of CVD risk, and their associations with PAH metabolites were analyzed using multiple logistic regression models, the weighted quantile sum (WQS) model, the quantile g-computation (qgcomp) model, and a stratified analysis of subgroups.
RESULTS:
For this study, six thousand seven hundred and forty-five participants were selected, and significant positive associations were observed between PAHs, naphthalene (NAP), and fluorene (FLU), and the risks of total CVD, atherosclerotic cardiovascular disease (ASCVD), and heart failure (HF). NAP and FLU were the primary contributors to the effects of PAH mixtures, and their associations with total CVD, ASCVD, and HF risk were significant in younger participants (30 ≤ age < 50 years); however, the associations of phenanthrene (PHEN) with ASCVD, HF, coronary heart disease (CHD), and stroke were dominant in aging participants (age ≥ 50 years). Notably, pyrene (PYR) was negatively associated with the risk of ASCVD, HF, CHD, and stroke. Similarly, negative associations of PYR with the four CVD subtypes were noticeable in aging participants.
CONCLUSION
Different PAHs metabolites had different impacts on each CVD subtype among different age groups. Notably, the protective effects of PYR on ASCVD, HF, CHD, and stroke were noticeable in aging individuals.
Humans
;
Cardiovascular Diseases/chemically induced*
;
Middle Aged
;
Polycyclic Aromatic Hydrocarbons/metabolism*
;
Male
;
Female
;
Adult
;
Aged
;
Risk Factors
;
China/epidemiology*
10.Air Pollution and Cardiac Biomarkers in Heart Failure: A Scoping Review.
Gang LI ; Yan Hui JIA ; Yun Shang CUI ; Shao Wei WU ; Tong Yu MA ; Yun Xing JIANG ; Hong Bing XU ; Yu Hui ZHANG ; Mary A FOX
Biomedical and Environmental Sciences 2025;38(11):1430-1443
Ambient air pollution is increasingly being recognized as a risk factor for heart failure; however, its effects on cardiac biomarkers remain unclear. This scoping review assessed the existing evidence on the association between air pollution and cardiac biomarkers in heart failure, described the key concepts, synthesized data, and identified research gaps. Following the PRISMA-ScR guidelines, PubMed, Embase, Web of Science, and CNKI databases were searched for studies on air pollution, heart failure, and biomarkers. A total of 765 records were screened, and 81 full texts were assessed for eligibility, resulting in 15 studies. The results showed that the exposure to particulate matter was associated with elevated N-terminal pro-B-type natriuretic peptide and troponin levels. Several studies have linked particulate matter exposure to a higher cardiovascular risk and heart failure biomarkers. Inflammatory and oxidative stress markers were consistently elevated across studies, supporting the biological relevance of these associations. However, few studies have focused specifically on populations with heart failure or clinically relevant biomarkers, and the evidence for gaseous pollutants remains inconclusive. These findings highlight the need to integrate environmental risk assessment into heart failure care and inform policy efforts to reduce the pollution-related cardiovascular burden. Further research should address these gaps through improved exposure assessments and the integration of mechanistic evidence.
Heart Failure/epidemiology*
;
Biomarkers/metabolism*
;
Humans
;
Air Pollution/adverse effects*
;
Air Pollutants/adverse effects*
;
Particulate Matter/adverse effects*
;
Environmental Exposure
;
Natriuretic Peptide, Brain/blood*
;
Oxidative Stress
;
Troponin/blood*

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