1.From Gene Expression to Transcriptome-wide Association Study: Development and Comparison of Methodology
Kun FANG ; Guozhuang LI ; Linting WANG ; Qing LI ; Kexin XU ; Lina ZHAO ; Zhihong WU ; Jianguo ZHANG ; Nan WU
Medical Journal of Peking Union Medical College Hospital 2026;17(1):223-229
Over the past two decades, genome-wide association study(GWAS) has identified numerous genetic variants and loci associated with heritable diseases. With the gradual maturation and saturation of GWAS methodologies, transcriptome-wide association study(TWAS) offers a novel perspective by linkinggenetic phenotypes to gene expression levels. By integrating TWAS with other multi-omics analyses, researchers can gain a deeper understanding of heritable diseases. This article provides an overview of recent groundbreaking and representative TWAS methods and tools, analyzes their strengths and limitations, and discusses future trends in TWAS development.
2.Current Status,Strategies and Prospects of Traditional Chinese Medicine Diagnosis and Treatment for Irritable Bowel Syndrome
Yandong WEN ; Zhi YANG ; Shaogang HUANG ; Zhongyu LI ; Xiangxue MA ; Qing XU ; Liqing DU ; Bochao YUAN ; Yibing TIAN ; Wentong GE ; Xiaofan ZHAO ; Chang LIU ; Xudong TANG
Journal of Traditional Chinese Medicine 2026;67(4):404-409
Irritable bowel syndrome (IBS) is a functional bowel disorder characterized primarily by abdominal pain and altered defecation habits. In recent years, traditional Chinese medicine (TCM) has made progress in multiple aspects of IBS research and treatment, including syndrome distribution, development of TCM formulas, clinical efficacy evaluation, external therapies, and psychosocial regulation. However, it still faces challenges such as over-reliance on symptomatic manifestations rather than biomarkers for diagnostic criteria, and the lack of high-quality evidence-based data supporting the efficacy of TCM formulas in treating IBS. This paper proposed that TCM diagnosis and treatment of IBS should adhere to the strategy of integrating the holistic concept with syndrome differentiation and treatment, combining TCM external therapies such as acupuncture, moxibustion and acupoint application), and emphasizing individualized diagnosis and treatment for psychosomatic abnormalities. Future research should integrate multi-omics technologies, artificial intelligence and other methods to deepen the understanding of the pathogenesis of IBS and the mechanisms of TCM formulas, so as to promote the standardization and internationalization of TCM in the diagnosis and treatment of IBS.
3.Study on the effect and mechanism of Qiwei dongqingye powder against bronchial asthma based on transcriptomics
Jiacheng JIN ; Wenyan CHEN ; Xin LI ; Qing XU ; Hangyu WANG ; Ke ZHANG ; Pinghua SUN ; Jinhui WANG
China Pharmacy 2026;37(5):595-601
OBJECTIVE To investigate the therapeutic effect and mechanism of Qiwei dongqingye powder (QDP) on bronchial asthma in mice. METHODS The mice were divided into blank group (normal saline), model group (normal saline), dexamethasone group (2 mg/kg), and QDP low-, medium-, and high-dose groups (200, 400, 800 mg/kg), with 14 mice in each group. Except for the blank group, mice in all other groups were given ovalbumin via intraperitoneal injection followed by aerosol inhalation to induce a bronchial asthma model. During the modeling process, mice in each group were administered corresponding drug solutions or normal saline intragastrically/intraperitoneally. After the last medication, the number of cells in the bronchoalveolar lavage fluid (BALF) of the mice was observed and counted; the pathological changes of the bronchus and lung tissue were observed; the levels of malondialdehyde (MDA), nitric oxide (NO), total superoxide dismutase (T-SOD), and glutathione peroxidase (GSH-Px) in the lung tissue of the mice were determined, and the level of interleukin-17 (IL-17) in the BALF and serum was determined. Transcriptomics was employed to predict and validate the mechanism of action of QDP against bronchial asthma. RESULTS Compared with the model group, the total cell count, neutrophil count, lymphocyte count, and macrophage counts in the BALF of the QDP high-dose group were all significantly reduced ( P <0.05); the levels of MDA and NO in the lung tissue, and the levels of IL-17 in the BALF and serum were all decreased significantly ( P <0.05); the levels of T-SOD and GSH-Px were significantly increased ( P <0.05); the arrangement of lung tissue cells tended to normalize, with reduced infiltration of inflammatory cells and decreased exfoliation of bronchial simple columnar epithelial cells. The transcriptomic results revealed that the differentially expressed genes were B-cell receptor signaling pathway, nuclear factor κB (NF-κB) signaling pathway, ferroptosis signaling pathway, and others. Further validation revealed that, compared with the model group, the expression levels of NF-κB p65 and chemokine ligand 20, as well as the phosphorylation level of NF-κB inhibitor protein α, were significantly decreased in the lung tissues of the mice in all QDP groups ( P <0.05). Conversely, the protein expression of nuclear factor erythroid 2-related factor 2 (Nrf2) and heme oxygenase 1 (HO-1) were significantly increased ( P <0.05). CONCLUSIONS QDP can effectively alleviate bronchial asthma by inhibiting the NF-κB signaling pathway, activating the Nrf2/HO-1 signaling pathway, regulating oxidative stress, and reducing inflammatory responses.
4.Clinical Efficacy and Mechanism of Bupi Qingfei Prescription in Treating Stable Bronchiectasis
Zi YANG ; Guangsen LI ; Bing WANG ; Bo XU ; Jianxin WANG ; Sheng CAO ; Xinyan CHEN ; Xia SHI ; Qing MIAO
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(2):162-169
ObjectiveTo explore the clinical efficacy and mechanism of Bupi Qingfei prescription (BPQF) in treating stable bronchiectasis in the patients with syndromes of lung-spleen Qi deficiency and phlegm-heat accumulation in the lungs. MethodsA randomized, double-blind, placebo-controlled trial was conducted. Patients were randomized into BPQF and placebo control (PC) groups. On the basis of conventional Western medicine treatment, the BPQF granules and placebo were respectively administered at 10 g each time, twice a day, for a course of 24 weeks. The TCM symptom scores, Quality of Life Questionnaire for Bronchiectasis (QOL-B) scores, lung function indicators, T lymphocyte subsets, level of inflammatory factors in the sputum, level of neutrophil elastase (NE) in the sputum, and occurrence of adverse reactions were observed before and after treatment in the two groups. ResultsA total of 64 patients completed the study, encompassing 32 in the BPQF group and 32 in the PC group. After treatment, the BPQF group showed decreased TCM symptom scores (P<0.01), increased QOL-B scores (P<0.01), and declined levels of tumor necrosis factor (TNF)-α and NE (P<0.05, P<0.01). The PC group showed decreased TCM symptom (except spleen deficiency) scores (P<0.01), increased the QOL-B health cognition and respiratory symptom domain scores (P<0.05, P<0.01), and a declined TNF-α level (P<0.01). Moreover, the BPQF group had lower TCM symptom (except chest tightness) scores (P<0.05, P<0.01), higher QOL-B (except treatment burden) scores (P<0.05, P<0.01), and lower levels of interleukin-6 and TNF-α (P<0.05) than the PC group. Neither group showed serious adverse reactions during the treatment process. ConclusionBPQF can ameliorate the clinical symptoms of stable bronchiectasis patients who have lung-spleen Qi deficiency or phlegm-heat accumulation in the lungs by regulating the immune balance and inhibiting airway inflammatory responses.
5.Lipidomics Combined with Machine Learning for Screening Biomarkers of Early-Stage Lung Cancer in the Elderly
Qing WANG ; Yue HE ; Xu LIU ; Zifan LI ; Kezhong CHEN
Medical Journal of Peking Union Medical College Hospital 2026;17(3):652-662
Based on plasma lipidomics combined with machine learning approaches, this study aimed to screen molecular biomarkers for the diagnosis of early-stage lung cancer in elderly patients and to evaluate their diagnostic performance. This was a retrospective diagnostic study consisting of two parts. The first part involved molecular biomarker screening. Elderly patients with early-stage lung cancer (early lung cancer group), patients with benign pulmonary nodules (benign nodule group), and contemporaneous healthy individuals undergoing physical examinations (healthy control group) were enrolled from Peking University People's Hospital between November 2023 and November 2024. In addition, early-stage lung cancer patients and healthy controls meeting the inclusion criteria from a previous study of our research group were included as an independent validation cohort. Plasma samples were collected from all subjects, and untargeted lipidomics analysis was performed using high-performance liquid chromatography-mass spectrometry. Principal component analysis and orthogonal partial least squares discriminant analysis were used to evaluate metabolic differences between groups. L1-regularized support vector machine combined with incremental feature selection was employed to screen diagnostic biomarkers for early-stage lung cancer. Model performance was assessed using receiver operating characteristic curves, calibration curves, Brier scores, and decision curve analysis. The second part involved functional validation of the molecular biomarkers using the human lung adenocarcinoma cell line A549, with palmitoylcarnitine (CAR 16∶0) selected as a representative biomarker for functional validation via CCK-8 and cell scratch assays. A total of 36 patients in the early lung cancer group, 35 patients in the benign nodule group, and 41 healthy controls were enrolled, along with an independent validation cohort of 110 individuals (59 patients with early-stage lung cancer and 51 healthy controls). The principal component analysis results demonstrated that quality control samples were tightly aggregated at the centroid of all samples, reflecting robust instrument performance and dependable data quality.Orthogonal partial least squares discriminant analysis revealed significant metabolic differences between the early lung cancer group and the control group (benign nodule group + healthy control group) (R2X=0.406, R2Y=0.529, Q2Y=0.44). L1-regularized support vector machine identified five carnitine-related lipids-palmitoleoylcarnitine(CAR 16∶1), palmitoylcarnitine, The five plasma carnitine-related lipids screened based on untargeted lipidomics and machine learning may serve as potential molecular biomarkers for the diagnosis of early-stage lung cancer in elderly patients. The high-sensitivity characteristic of the model makes it particularly suitable for screening scenarios in early-stage lung cancer.
6.Association analyses of early medication clocking-in trajectory with smart tools and treatment outcome in pulmonary tuberculosis patients
Chunhua XU ; Zheyuan WU ; Yong WU ; Qing WANG ; Zichun WANG ; Nan QIN ; Xinru LI ; Yucong YAO ; Kehua YI ; Yi HU
Shanghai Journal of Preventive Medicine 2025;37(3):210-214
ObjectiveTo construct a group-based trajectory model (GBTM) for early medication adherence check-in, and to analyze the relationship between different trajectories and treatment outcomes in tuberculosis patients using data that were generated from smart tools for monitoring their medication adherence and check-in. MethodsFrom October 1, 2022 to September 30, 2023, a total of 163 pulmonary tuberculosis patients diagnosed in Fengxian District were selected as the study subjects. The GBTM was utilized to analyze the weekly active check-in trajectories of the subjects during the first 4 weeks and establish different trajectory groups. The χ² tests were employed to compare the differences between groups and logistic regression analysis was conducted to explore the relationship between different trajectory groups and treatment outcomes. ResultsA total of four groups were generated by GBTM analyses, of which a low level of punch card was maintained in group A, 6% of the drug users increased rapidly from a low level in group B, 17% of drug users increased gradually from a low level in group C, and 18% of drug users maintained a high level of punch card in group D. The trajectory group was divided into two groups according to homogeneity, namely the low level medication punch card group (group A) and the high level medication punch card group (group B, group C, and group D). The results of multivariate logistic regression analyses revealed that low-level medication check-in (OR=3.250, 95%CI: 1.089‒9.696), increasing age (OR=1.030, 95%CI: 1.004‒1.056), and not undergoing sputum examination at the end of the fifth month (OR=2.746, 95%CI: 1.090‒7.009) were significantly associated with poor treatment outcomes. ConclusionThe medication check-in trajectory of pulmonary tuberculosis patients within the first 4 weeks is correlated with adverse outcomes, or namely consistent low-level medication adherence check-ins are associated with poor treatment outcomes, while high-level medication adherence check-ins are associated with a lower incidence of adverse outcomes.
7.The Application of Spatial Resolved Metabolomics in Neurodegenerative Diseases
Lu-Tao XU ; Qian LI ; Shu-Lei HAN ; Huan CHEN ; Hong-Wei HOU ; Qing-Yuan HU
Progress in Biochemistry and Biophysics 2025;52(9):2346-2359
The pathogenesis of neurodegenerative diseases (NDDs) is fundamentally linked to complex and profound alterations in metabolic networks within the brain, which exhibit marked spatial heterogeneity. While conventional bulk metabolomics is powerful for detecting global metabolic shifts, it inherently lacks spatial resolution. This methodological limitation hampers the ability to interrogate critical metabolic dysregulation within discrete anatomical brain regions and specific cellular microenvironments, thereby constraining a deeper understanding of the core pathological mechanisms that initiate and drive NDDs. To address this critical gap, spatial metabolomics, with mass spectrometry imaging (MSI) at its core, has emerged as a transformative approach. It uniquely overcomes the limitations of bulk methods by enabling high-resolution, simultaneous detection and precise localization of hundreds to thousands of endogenous molecules—including primary metabolites, complex lipids, neurotransmitters, neuropeptides, and essential metal ions—directly in situ from tissue sections. This powerful capability offers an unprecedented spatial perspective for investigating the intricate and heterogeneous chemical landscape of NDD pathology, opening new avenues for discovery. Accordingly, this review provides a comprehensive overview of the field, beginning with a discussion of the technical features, optimal application scenarios, and current limitations of major MSI platforms. These include the widely adopted matrix-assisted laser desorption/ionization (MALDI)-MSI, the ultra-high-resolution technique of secondary ion mass spectrometry (SIMS)-MSI, and the ambient ionization method of desorption electrospray ionization (DESI)-MSI, along with other emerging technologies. We then highlight the pivotal applications of spatial metabolomics in NDD research, particularly its role in elucidating the profound chemical heterogeneity within distinct pathological microenvironments. These applications include mapping unique molecular signatures around amyloid β‑protein (Aβ) plaques, uncovering the metabolic consequences of neurofibrillary tangles composed of hyperphosphorylated tau protein, and characterizing the lipid and metabolite composition of Lewy bodies. Moreover, we examine how spatial metabolomics contributes to constructing detailed metabolic vulnerability maps across the brain, shedding light on the biochemical factors that render certain neuronal populations and anatomical regions selectively susceptible to degeneration while others remain resilient. Looking beyond current applications, we explore the immense potential of integrating spatial metabolomics with other advanced research methodologies. This includes its combination with three-dimensional brain organoid models to recapitulate disease-relevant metabolic processes, its linkage with multi-organ axis studies to investigate how systemic metabolic health influences neurodegeneration, and its convergence with single-cell and subcellular analyses to achieve unprecedented molecular resolution. In conclusion, this review not only summarizes the current state and critical role of spatial metabolomics in NDD research but also offers a forward-looking perspective on its transformative potential. We envision its continued impact in advancing our fundamental understanding of NDDs and accelerating translation into clinical practice—from the discovery of novel biomarkers for early diagnosis to the development of high-throughput drug screening platforms and the realization of precision medicine for individuals affected by these devastating disorders.
8.Efficacy and safety of albumin-binding paclitaxel combined with PD-1 inhibitors in the treatment of bone and soft tissue sarcoma after first-line therapy failure
HUANG Zhen ; LIU Weifeng ; LI Yuan ; XU Hairong ; ZHANG Qing ; HAO Lin ; NIU Xiaohui
Chinese Journal of Cancer Biotherapy 2025;32(11):1169-1174
[摘 要] 目的:探讨白蛋白结合型紫杉醇联合PD-1抑制剂用于治疗一线化疗失败的骨与软组织肉瘤的疗效及安全性。方法:回顾性分析北京积水潭医院骨肿瘤科2017年8月至2020年8月收治的一线化疗失败的晚期骨与软组织肉瘤患者。患者接受白蛋白结合型紫杉醇(125~140 mg/m2,第1天和第8天)与PD-1抑制剂(信迪利单抗或特瑞普利单抗,每21 d一次)联合治疗。每2个治疗周期评估1次疗效,按RECIST 1.1标准评估肿瘤疗效,按NCI-CTCAE5.0标准评估不良反应。结果:共20名患者纳入研究,完成1至8个治疗周期,中位治疗周期数为3个。所有患者均可评估疗效,完全缓解4例(20%),部分缓解0例,稳定9例(45%),疾病进展7例(35%)。客观缓解率(ORR)为20%,疾病控制率(DCR)为65%。中位无进展生存期(PFS)为3.0个月。治疗期间主要不良反应包括2级白细胞减少(40%)、1-2级神经毒性反应(20%),以及2级甲状腺功能减退(10%)。结论:白蛋白结合型紫杉醇联合PD-1抑制剂治疗为一线化疗失败的晚期骨与软组织肉瘤患者提供了一种潜在的治疗选择,其不良反应可控,值得开展更大样本的前瞻性研究进一步验证其疗效。
9.The associations between physical health status,refraction and ocular biometrics in school-age children
Liang LI ; Feiyu LI ; Bin ZHANG ; Mengdie WANG ; Qing YANG ; Jianfang XU
Chinese Journal of Sports Medicine 2025;44(2):103-112
Objective To investigate the associations between physical health status,refraction and ocular biometrics in school-age children,and further clarify the relation of eyes'refractive status to physical growth and development,so as to provide scientific evidences for myopia prevention and con-trol.Methods A total of 1718 children(977 boys and 741 girls)aged 8-12 years were enrolled in this study.They were collected uncorrected visual acuity,refraction and ocular biometrics,including spherical equivalent,cylindrical equivalent,axial length(AL),corneal refraction(K1,K2)and anteri-or chamber depth(ACD),as well as the AL/CR ratio and spherical equivalent refraction(SER).Moreover,their height,weight and physical fitness level were measured,including speed,strength,flexibility,agility and aerobic endurance.Then all data were analyzed using the Pearson correlation,One-way ANOVA and multiple linear regression model.Results The overall prevalence of myopia was 43.83%,which was higher in girls than in boys(46.96%vs.41.45%).Moreover,the height and weight of school-age children were negatively correlated with SER(P<0.01),but positively correlated with AL,ACD and AL/CR(P<0.01).After controlling the age and gender variables in the multiple linear regression model,it was found that for 10-cm increase in height,SER decreased by 0.013 D(P<0.01),AL extended by 0.022 mm(P<0.01),and ACD increased by 0.002 mm(P<0.05).In addi-tion,for 10-kg increase in the body weight,the AL would be 0.009 mm longer(P<0.05)and ACD 0.002 mm deeper(P<0.05).Moreover,the speed,strength and agility were negatively correlated with SER(P<0.01,P<0.05),but positively correlated with AL,ACD and AL/CR(P<0.01,P<0.05).The maximal oxygen uptake level was positively correlated with SER(P<0.01),and negatively correlated with AL,ACD and AL/CR(P<0.01,P<0.05).After controlling the age and gender variables in the multiple linear regression model,it was found that the children with worse speed quality had shorter AL(-0.043 D,P<0.05).Meanwhile,the better agility was accompanied by the lower SER(-0.003 D,P<0.01),longer AL(+0.002 mm,P<0.05),lighter ACD(+4.812e-4 mm,P<0.05),and higher AL/CR(+2.446e-4,P<0.05).Conclusion With variables of age and gender controlled,the height,weight,and the speed and agility quality are highly associated with eyes'refractive status among chil-dren aged 8-12 years old.It is suggested that the human body may have a coordination mechanism to regulate the development of the body stature,physical fitness and ocular biometrics in the early child-hood,which should be considered in their myopia prevention and control.
10.Leptin promotes breast cancer cell MCF-7 migration and invasion through inhibiting ACSL5
Tao ZENG ; Lan WEI ; Yong-zhu XU ; Shi-yu YANG ; Hao-li SUN ; Ting-ting DANG ; Yi-qing YOU ; Jia-feng TANG ; Yan ZHANG
Chinese Pharmacological Bulletin 2025;41(4):654-660
Aim To explore the possible regulatory effect of leptin on acyl-CoA synthetase long chain fami-ly member ACSL5 and their effect on migration and in-vasion of breast cancer cell,and to explore the underly-ing mechanism.Methods The expression of leptin receptor was detected by immunofluorescence assay.The migration and invasion ability of MCF-7 cells were detected by wound healing assay and Transwell assay respectively.The downstream target gene of leptin was analyzed by PCR microarray data.The expression of ACSL5 in breast cancer and its correlation with the staging and prognosis of breast cancer patients were as-sessed uing bioinformatics methods.The expression of ACSL5 in MCF-7 cells treated with different concentra-tions of leptin was detected using real time fluorescence quantitative polymerase chain reaction(RT-qPCR).Overexpressing ACSL5 was constructed by lentiviral transfection;the expressions of EMT related proteins,AMPK-α and p-AMPK-α were detected by Western blot.Results Leptin promoted breast cancer cell mi-gration and invasion and EMT.ACSL5 was significant-ly low expressed in breast cancer and related to progno-sis.Leptin downregulated the expression of ACSL5 through OBR.Leptin activated AMPK pathway to downregulate ACSL5 and promote migration,invasion and EMT of breast cancer cells.Conclusions Leptin may promote the migration,invasion and EMT of breast cancer by downregulating ACSL5 through activating AMPK pathway.

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