1.Efficacy comparison between tenofovir disoproxil fumarate versus tenofovir alafenamide fumarate treatment in chronic hepatitis B patients with high viral load
Chenxia ZHANG ; Diwen SHI ; Xinyue CHEN ; Yaping DAI ; Yan QI ; Xueshi ZHOU ; Yuanwang QIU
Chinese Journal of Infectious Diseases 2025;43(9):530-536
Objective:Comparative efficacy and safety profiles of tenofovir disoproxil fumarate (TDF) versus tenofovir alafenamide fumarate (TAF) in chronic hepatitis B (CHB) patients with high viral load.Methods:CHB patients with high viral load (hepatitis B virus (HBV) DNA>7 lg IU/mL) receiving TDF ( n=155) or TAF ( n=157) monotherapy were included between December 1st, 2022 and December 1st, 2023, to compare the rates of undetectable HBV DNA (<20 IU/mL), the alanine transaminase (ALT) normalization rate, hepatitis B e antigen (HBeAg) seroconversion rate, renal function and lipid profiles at 48 weeks of treatment. The statistical analysis was performed by the two independent samples t test, Mann-Whitney U test, chi-square test or Fisher′s exact probability test. Results:At week 48 of treatment, the TDF group achieved significantly higher HBV DNA undetectability rates (49.03%(76/155) vs 29.30%(46/157)) and greater mean reduction ((6.05±0.81) lg IU/mL vs (5.57±1.02) lg IU/mL) than the TAF group ( χ2=12.75, t=-4.65, both P<0.001). The ALT normalization rate of patients in the TDF and TAF groups were 77.19%(88/114) and 72.50%(87/120), and HBeAg seroconversion rates were 4.00%(6/150) and 2.67%(4/150), respectively, with no statistically significant differences between the two groups (all P>0.05). The differences in the changes and abnormal rates of serum creatinine and estimated glomerular filtration rate between the two groups of patients were not statistically significant (both P>0.05). The magnitude of decrease (0.15(-0.02, 0.38) mmol/L vs 0.06(-0.06, 0.20) mmol/L) and abnormal rate (27.73%(33/119) vs 16.39%(20/122)) in high-density lipoprotein cholesterol in the TDF group was higher than those in the TAF group, while the increases in low-density lipoprotein cholesterol (-0.09(-0.39, 0.25) mmol/L vs 0.05(-0.31, 0.42) mmol/L), total cholesterol (TC) (-0.23(-0.75, 0.23) mmol/L vs 0.08(-0.35, 0.57) mmol/L), and triglyceride (-0.12(-0.40, 0.06) mmol/L vs 0.00(-0.19, 0.24) mmol/L), as well as the abnormal rate of TC (4.31%(5/116) vs 15.75%(20/127)), in the TDF group were lower than those in the TAF group ( Z=-3.19, χ2=4.51, Z=2.17, Z=4.09, Z=3.71, χ2=8.59, all P<0.05). Conclusion:TDF demonstrated superior efficacy and better safety profiles compared to TAF in high viral load CHB patients.
2.A preliminary study of apolipoprotein B assay combined with whole exome sequencing for accurate diagnosis of hyperlipidemia
Chang ZHAO ; Fang ZHENG ; Xueping QIU ; Liang CAO ; Fan WANG ; Ruiyang ZHU ; Daoxi QI ; Shuyang SHENG
Chinese Journal of Laboratory Medicine 2025;48(7):895-901
Objective:To investigate the use of apolipoprotein B (ApoB) diagnostic algorithm for hyperlipidemia typing combined with whole exome sequencing in the precise diagnosis of familial hyperlipidemia.Methods:A retrospective observational study was conducted by collecting clinical information on all patients who attended our hospital, and had their lipid levels tested from January 2023 to May 2024, including 440 patients with low-density lipoprotein cholesterol (LDL-C)>4.10 mmol/L. Family history, current lipid levels, medication use, and comorbidities were collected by telephone follow-ups. Among them, 10 patients had a family history of hyperlipidemia. Peripheral venous blood samples were collected from patients with a family history of hyperlipidemia, and whole exome sequencing was performed.Results:According to the Fredrickson typing of WHO, 10 patients (P1 to P10) could be categorized into two groups, of which only type Ⅱa could be excluded in 6 cases, and the typing could not be determined in 4 cases. The ApoB diagnostic algorithm of hyperlipidemia typing could classify patients P1 and P2 as type Ⅱa, patients P3 to P7, P9 and P10 as type Ⅱb, and patient P8 as type Ⅴ, respectively. Whole exome sequencing detected mutations in LDLR, PCSK9, C5AR2, KIF12, ALMS1, ABCG5, COL4A3, and MTTP genes.Conclusion:The ApoB diagnostic algorithm for hyperlipidemia can be used for accurate typing of hyperlipidemia, and ApoB could be recommended as a routine lipid testing parameter. The ApoB diagnostic algorithm for hyperlipidemia combined with whole exome sequencing could be used for the accurate typing of patients with familial hyperlipidemia and defining the underlying gene mutations.
3.Establishment of LC-MS/MS method for detecting plasma Lyso-GL-3 concentration
Bing DAI ; Jie QIU ; Yani DENG ; Chunyan TANG ; Jieqiong SU ; Qi YANG ; Dan GUO ; Yan YU
Chinese Journal of Laboratory Medicine 2025;48(8):1041-1047
Objective:To establish a liquid chromatography tandem mass spectrometry (LC-MS/MS) method for accurate determination of plasma Lyso-GL-3 concentration.Method:Solid phase extraction technology was used to process plasma samples, and under positive ion mode and multiple reaction monitoring (MRM) conditions, LC-MS/MS was used to determine the concentration of Lyso-GL-3. The linear range, detection and quantification limits, accuracy, precision, matrix effect, carrier effect of the method, and plasma sample stability were validated. And the accuracy of Lyso-GL-3 positive patients was compared by combining enzymatic and genetic testing results.Result:Lyso-GL-3 had good linearity in the range of 1.25-400 nmol/L. The detection limit and quantification limit were 0.15 nmol/L and 0.50 nmol/L, respectively. The spiked recovery rate was 88.78%-108.96%. The coefficient of variation ( CV) for intra batch precision, inter batch precision, and matrix effect were all less than 15%, the result of carrier effect was 0.55%. Plasma samples could be stably stored for 30 days under refrigeration conditions. The clinical conformity of the patient was 100%. Conclusion:The established LC-MS/MS detection method for plasma Lyso-GL-3 concentration takes 2.5 minutes, which is simple, fast, accurate, and reliable.
4.Characteristics and implications of observation tools for physical activity among children and adolescents
QIU Yanping, WANG Lijuan, QI Jing, CHEN Huan, ZHENG Nan, LI Xiaoqing
Chinese Journal of School Health 2025;46(3):310-314
Abstract
To analyzes the characteristics, problems and enlightenment of physical activity observation tools, so as to provide reference for researchers to quickly and accurately choose appropriate observation tools to evaluate children s and adolescents physical activity. Literature search is conducted in eight databases of Chinese and English, including CNKI, Wanfang, VIP, Web of Science, PubMed, Medline, ERIC, and SPORTDiscus. Ultimately, eight observation tools for assessing physical activity in children and adolescents are included. Through summarization and comparison, it is found that the applications of those tools cover multiple age groups, the observation indicators cover multiple dimensions for each with varying emphases, and the applicable contexts vary in their specific background information, and recording methods tend to be quantitative. However, several issues remain to be addressed in practical applications. First, the observation indicators need to be supplemented and improved; second, physical activity in community environments and academic classrooms requires further attention; third, physical activity intensity needs to be scientifically evaluated; fourth, observation and recording methods need to be integrated and innovated; fifth, the number of observation subjects needs to be expanded. Future research could focus on developing observation tools tailored to the characteristics of Chinese children and adolescents, while drawing on foreign observation tools to comprehensively assess physical activity among children and adolescents.
5.Heterogeneity of Adipose Tissue From a Single-cell Transcriptomics Perspective
Yong-Lang WANG ; Si-Si CHEN ; Qi-Long LI ; Yu GONG ; Xin-Yue DUAN ; Ye-Hui DUAN ; Qiu-Ping GUO ; Feng-Na LI
Progress in Biochemistry and Biophysics 2025;52(4):820-835
Adipose tissue is a critical energy reservoir in animals and humans, with multifaceted roles in endocrine regulation, immune response, and providing mechanical protection. Based on anatomical location and functional characteristics, adipose tissue can be categorized into distinct types, including white adipose tissue (WAT), brown adipose tissue (BAT), beige adipose tissue, and pink adipose tissue. Traditionally, adipose tissue research has centered on its morphological and functional properties as a whole. However, with the advent of single-cell transcriptomics, a new level of complexity in adipose tissue has been unveiled, showing that even under identical conditions, cells of the same type may exhibit significant variation in morphology, structure, function, and gene expression——phenomena collectively referred to as cellular heterogeneity. Single-cell transcriptomics, including techniques like single-cell RNA sequencing (scRNA-seq) and single-nucleus RNA sequencing (snRNA-seq), enables in-depth analysis of the diversity and heterogeneity of adipocytes at the single-cell level. This high-resolution approach has not only deepened our understanding of adipocyte functionality but also facilitated the discovery of previously unidentified cell types and gene expression patterns that may play key roles in adipose tissue function. This review delves into the latest advances in the application of single-cell transcriptomics in elucidating the heterogeneity and diversity within adipose tissue, highlighting how these findings have redefined the understanding of cell subpopulations within different adipose depots. Moreover, the review explores how single-cell transcriptomic technologies have enabled the study of cellular communication pathways and differentiation trajectories among adipose cell subgroups. By mapping these interactions and differentiation processes, researchers gain insights into how distinct cellular subpopulations coordinate within adipose tissues, which is crucial for maintaining tissue homeostasis and function. Understanding these mechanisms is essential, as dysregulation in adipose cell interactions and differentiation underlies a range of metabolic disorders, including obesity and diabetes mellitus type 2. Furthermore, single-cell transcriptomics holds promising implications for identifying therapeutic targets; by pinpointing specific cell types and gene pathways involved in adipose tissue dysfunction, these technologies pave the way for developing targeted interventions aimed at modulating specific adipose subpopulations. In summary, this review provides a comprehensive analysis of the role of single-cell transcriptomic technologies in uncovering the heterogeneity and functional diversity of adipose tissues.
6.Conserved translational control in cardiac hypertrophy revealed by ribosome profiling.
Bao-Sen WANG ; Jian LYU ; Hong-Chao ZHAN ; Yu FANG ; Qiu-Xiao GUO ; Jun-Mei WANG ; Jia-Jie LI ; An-Qi XU ; Xiao MA ; Ning-Ning GUO ; Hong LI ; Zhi-Hua WANG
Acta Physiologica Sinica 2025;77(5):757-774
A primary hallmark of pathological cardiac hypertrophy is excess protein synthesis due to enhanced translational activity. However, regulatory mechanisms at the translational level under cardiac stress remain poorly understood. Here we examined the translational regulations in a mouse cardiac hypertrophy model induced by transaortic constriction (TAC) and explored the conservative networks versus the translatome pattern in human dilated cardiomyopathy (DCM). The results showed that the heart weight to body weight ratio was significantly elevated, and the ejection fraction and fractional shortening significantly decreased 8 weeks after TAC. Puromycin incorporation assay showed that TAC significantly increased protein synthesis rate in the left ventricle. RNA-seq revealed 1,632 differentially expressed genes showing functional enrichment in pathways including extracellular matrix remodeling, metabolic processes, and signaling cascades associated with pathological cardiomyocyte growth. When combined with ribosome profiling analysis, we revealed that translation efficiency (TE) of 1,495 genes was enhanced, while the TE of 933 genes was inhibited following TAC. In DCM patients, 1,354 genes were upregulated versus 1,213 genes were downregulated at the translation level. Although the majority of the genes were not shared between mouse and human, we identified 93 genes, including Nos3, Kcnj8, Adcy4, Itpr1, Fasn, Scd1, etc., with highly conserved translational regulations. These genes were remarkably associated with myocardial function, signal transduction, and energy metabolism, particularly related to cGMP-PKG signaling and fatty acid metabolism. Motif analysis revealed enriched regulatory elements in the 5' untranslated regions (5'UTRs) of transcripts with differential TE, which exhibited strong cross-species sequence conservation. Our study revealed novel regulatory mechanisms at the translational level in cardiac hypertrophy and identified conserved translation-sensitive targets with potential applications to treat cardiac hypertrophy and heart failure in the clinic.
Animals
;
Humans
;
Cardiomegaly/physiopathology*
;
Ribosomes/physiology*
;
Protein Biosynthesis/physiology*
;
Mice
;
Cardiomyopathy, Dilated/genetics*
;
Ribosome Profiling
7.Multi-organ inflammatory phenotypes and transcriptomic characterization in an inflammation-driven mouse model of preeclampsia induced by LPS.
Ning WANG ; Jing-Qiu FENG ; Ying XIE ; Meng-Can SUN ; Qi WANG ; Zhe WANG ; Lu GAO
Acta Physiologica Sinica 2025;77(5):775-791
Preeclampsia (PE) is a severe gestational disorder characterized by hypertension and proteinuria, with a subset of cases exhibiting an immune-driven phenotype marked by placental overexpression of proinflammatory cytokines and chronic inflammatory damage, profoundly impacting fetal development. To elucidate the pathophysiology of this PE subtype, we established an inflammation-driven PE mouse model via lipopolysaccharide (LPS) intraperitoneal injection, systematically evaluating histopathological changes in maternal heart, liver, lung, kidney, and placenta, and integrating transcriptomic profiling to uncover molecular mechanisms. LPS administration robustly induced maternal hypertension and proteinuria, hallmarks of PE, without significantly altering organ or fetal weights. Histological analyses revealed pronounced inflammatory damage in the maternal lung, kidney, and placenta, with the lung exhibiting the most severe pathology, characterized by inflammatory cell infiltration, alveolar wall thickening, and interstitial edema-challenging the conventional focus on placental and renal primacy in PE. Placental labyrinth and junctional zones displayed extensive structural disruption and necrosis, indicating functional impairment. Transcriptomic analysis identified 27 inflammation-related genes consistently upregulated across tissues, with protein-protein interaction networks pinpointing Il1β, Il6, Ccl5, Ccl2, Cxcl10, Tlr2, and Icam1 as hub genes. Quantitative PCR validation confirmed Tlr2 as a central regulator, evidenced by significant upregulation of Tlr2 in lung, kidney, and placenta of LPS-induced PE mice, while Cxcl10 exhibited placenta-specific upregulation, suggesting a synergistic inflammatory axis in placental pathology. These findings highlight the lung as a critical, yet underappreciated, target in inflammation-driven PE, reframe the multi-organ inflammatory landscape of the disease, and nominate Tlr2 and Cxcl10 as potential diagnostic biomarkers and therapeutic targets, offering new avenues for precision intervention in PE.
Animals
;
Female
;
Pregnancy
;
Mice
;
Pre-Eclampsia/genetics*
;
Inflammation
;
Lipopolysaccharides/adverse effects*
;
Disease Models, Animal
;
Transcriptome
;
Placenta/pathology*
;
Phenotype
8.Rituximab combined with intensive immunochemotherapy for sporadic adult Burkitt lymphoma: efficacy and prognosis analyse
Changming DONG ; Hesong ZOU ; Wen ZHANG ; Wei LIU ; Yi WANG ; Huimin LIU ; Ting XIE ; Heng LI ; Qi WANG ; Wenyang HUANG ; Shuhua YI ; Gang AN ; Lugui QIU ; Dehui ZOU
Chinese Journal of Hematology 2025;46(2):134-139
Objective:To explore the therapeutic efficacy and prognostic factors of combined rituximab and intensive chemotherapy for sporadic adult Burkitt lymphoma (BL) .Methods:This retrospective study examined the clinical and survival data of 30 patients newly diagnosed with BL between July 2011 and February 2023 at the Blood Diseases Hospital. Kaplan-Meier method was used for survival analysis, and the log-rank test was used for univariate analysis of prognostic factors.Results:The median age of the 30 patients was 43 years (24 - 66 years), and the male to female ratio was 3: 2. Extranodal invasion was present in 80% of the patients, with involvement of the bone marrow in 53.3% and central nervous system in 10.0%. The Ann Arbor stage was Ⅲ and Ⅳ in 86.7%. According to the number of Burkitt Lymphoma International Prognostic Index (BL-IPI) risk factors, patients were classified as low risk (0) in 20.0%, intermediate risk (1) in 43.3%, and high risk (≥2) in 36.7%. All patients were treated with an induction regimen of rituximab combined with intensive chemotherapy, with objective and complete response rates of 80.0% and 76.7%, respectively. The median follow-up was 49 months (6-153 months), and the 5-year progression-free survival (PFS) and overall survival (OS) rates were both (76.7±7.7) %. All patients with limited stage ( n=4) achieved continuous complete remission (CCR). Patients who had high risk, advanced stage sensitive to induction therapy ( n=10) sequentially received first-line autologous hematopoietic stem cell transplantation (auto-HSCT) as consolidation therapy; 9 patients achieved CCR, whereas 1 patient with central nervous system invasion developed early disease progression and died. The BL-IPI low, intermediate, and high risk groups had respective 5-year PFS rates of (83.3±15.2) %, 100.0%, and (45.5±15.0) % ( P=0.0069) and OS rates of (83.3±15.2) %, 100.0%, and (45.5±15.0) % ( P=0.0075). The main adverse effects of induction therapy were myelosuppression and secondary infections, which were effectively managed by appropriate symptomatic treatment. Univariate analysis demonstrated that worse PFS was associated with BL-IPI score ≥2 ( HR=4.90, 95% CI 1.02-23.45, P=0.0329) ; extranodal invasion at ≥2 sites ( HR=12.62, 95% CI 2.59-61.62, P=0.0021) ; and failure to achieve first complete response (CR1) after induction therapy ( HR=31.86, 95% CI 4.19-242.20, P<0.0001) . Conclusions:Intensive immunochemotherapy regimens were effective and well-tolerated by adult patients with highly aggressive BL. Treatment efficacy was ideal in patients with limited-stage disease, whereas prognosis was unsatisfactory in patients with high-risk BL-IPI. Sequential first-line auto-HSCT consolidation therapy may further improve outcomes in patients with high-risk advanced-stage disease who are sensitive to induction therapy. BL-IPI score ≥2, extranodal invasion at ≥2 sites, and failure to achieve CR1 after induction therapy were adverse prognostic factors in adult patients with BL.
9.Impact of donor characteristics on prognosis for myelodysplastic syndromes after haplo-identical transplantation: a retrospective study
Hong WANG ; Xueqian LI ; Qingyuan WANG ; Jiaqian QI ; Huiying QIU ; Chengcheng FU ; Xiaowen TANG ; Miao MIAO ; Ying WANG ; Suning CHEN ; Changgeng RUAN ; Depei WU ; Yue HAN
Chinese Journal of Hematology 2025;46(11):1026-1031
Objective:To evaluate the impact of donor characteristics on the prognosis of myelodysplastic syndrome (MDS) patients undergoing haplo-identical transplantation (HIDT) .Methods:A retrospective analysis of 203 MDS patients who received HIDT was conducted to evaluate how donor factors influenced transplant outcomes.Results:In MDS patients undergoing haploidentical transplantation, donors over 50 years were associated with higher EBV reactivation (2-year cumulative incidence 42.9% vs 22.0% for <50 years old; P=0.010). Female donors were linked to increased severe chronic GVHD compared with male donors (2-year incidence 11.9% vs 4.0% ; P=0.017). Additionally, 2-year overall survival (OS) was slightly lower with female donors than male donors (56.6% vs 69.7% ), but the difference was not statistically significant ( P=0.073). Donor-recipient blood type did not affect post-transplant OS or cumulative relapse rates. Donor-recipient kinship analysis revealed that child donors, compared to haploidentical sibling or parent donors, had lower rates of grade Ⅱ–Ⅳ acute GVHD (27.2% vs 45.7% vs 53.5%, P=0.007) and 2-year EBV reactivation (13.9% vs 29.3% vs 38.9%, P=0.001). For donors under 20 years, donor gender did not significantly affect 2-year OS ( P=0.913), relapse-free survival ( P=0.716), or 100-day incidence of grade Ⅱ–Ⅳ acute GVHD ( P=0.359) . Conclusion:For MDS patients undergoing HIDT, donors over 50 should be avoided. Male and child donors are preferred, while donor gender does not significantly affect outcomes if the donor is under 20 years old.
10.Policies, standards and technological models of digital rehabilitation aligned with the framework of WHO's global digital health strategy
Yaru YANG ; Zhuoying QIU ; Di CHEN ; Zhongyan WANG ; Meng ZHANG ; Qi JING ; Yaoguang ZHANG
Chinese Journal of Rehabilitation Theory and Practice 2025;31(2):125-135
ObjectiveTo systematically analyze the global policy framework, standard systems and application technology models of digital rehabilitation within the framework of the World Health Organization (WHO) Global Digital Health Strategy and propose policy recommendations for the future development of digital rehabilitation. MethodsBased on the policies on digital health and rehabilitation development issued by the WHO, focusing on the Global Digital Health Strategy, Rehabilitation 2030 Initiative, Rehabilitation in Health Systems, Rehabilitation in Health Systems: A Guide for Action, and World Report on Disability, a systematic review was conducted, to explore the policy architecture and core content of digital rehabilitation, the standard system for digitalizing rehabilitation, and key technological models for the development of digital rehabilitation. ResultsIn the context of global health and digital transformation, the development of digital rehabilitation services was an essential component of the global digital health strategy. Building a comprehensive policy framework and content system for digital rehabilitation was critical for strengthening rehabilitation data governance, enhancing data utilization efficiency, and ensuring data privacy and security. Empowering rehabilitation with digital technology was vital for improving the standardization, effectiveness, coverage, quality and safety of rehabilitation services. International digital rehabilitation policies primarily involved the following areas: policy and governance, digital standard systems, data privacy, security and ethics, digital talent cultivation and capacity building, and monitoring, evaluation and continuous improvement of digitally empowered rehabilitation services. The standard system for rehabilitation digitization covered the three major reference classifications of the WHO Family of International Classifications, including International Classification of Diseases Eleventh Revision (ICD-11), International Classification of Functioning, Disability and Health (ICF), and International Classification of Health Interventions (ICHI), especially ICF. It also included international data interoperability standards, data security and privacy protection standards, data quality and certification standards, and health information standards, etc. The application technology models of digital rehabilitation primarily included data-driven service models, artificial intelligence -enabled models, and remote rehabilitation models combined with virtual reality, augmented reality technologies, and Internet of Things support. ConclusionThe establishment and implementation of comprehensive policies, standards and technological models for digital rehabilitation are crucial for driving the digital transformation and development of global rehabilitation services. Under the framework of the WHO Global Digital Health Strategy, it is necessary to build adaptive digital rehabilitation policy frameworks, and enhance digital governance capabilities and levels, establishing and improving digital rehabilitation standard systems, and promoting the interoperability and integration of rehabilitation data with other health big data. Meanwhile, it is essential to actively develop data-driven technological models for rehabilitation services to comprehensively improve the accessibility, availability, quality and safety of rehabilitation services.


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