Tropical diseases, the transmission of which is affected by multiple natural and social factors, pose a great challenge to global public health, notably in African countries. During the past several decades, China and African countries have continuously collaborated for the control of neglected tropical diseases and malaria, which has become an important part of global South-to-South cooperation and global health governance. This article reviews the history of China-Africa cooperation for tropical diseases control, summarizes the experiences and achievements over the past decade, analyzes the current challenges in the coopera tion, and proposes future recommendations. The China-Africa cooperation has achieved significant progress in the control of tropical diseases, such as malaria, schistosomiasis, and filariasis, and established a China-Africa cooperation network for tropical diseases control. Through the "Three-Step" strategy of China-Africa cooperation, the effectiveness of China's integrated control strategies has been validated in Africa, and the application of China's tropical disease control technologies has been promoted in African disease-epidemic countries. Currently, China-Africa collaboration, however, still experiences multiple realistic challenges, such as insufficient resources, difficulty in technology transfer, and weak primary healthcare systems. In the future, both sides are recommended to further strengthen policy coordination, deepen technological cooperation, innovate cooperation models, aiming to continuously promote the high-quality development of China-Africa cooperation for tropical diseases control.

ObjectiveTo investigate the epidemiological and clinical characteristics of human bocavirus (HBoV) in hospitalized children with acute lower respiratory tract infection (ALRTI) at a single-center children’s hospital in Shanghai, thereby providing evidence for the diagnosis, treatment, and prevention of HBoV infection. MethodsA retrospective study was conducted on 19 537 hospitalized children with ALRTI at Shanghai Children’s Hospital from January 2021 to December 2023. Multiplex polymerase chain reaction (PCR) combined with capillary electrophoresis was used to detect HBoV and 12 other common respiratory viruses /atypical pathogens. The positive detection rate, demographic characteristics (sex, age), temporal distribution (year, season) of HBoV, as well as the clinical characteristics of severe and non-severe pneumonia were analyzed. ResultsThe overall HBoV-positive rate was 2.57% (503/19 537), with 59.44% (299/503) being single infections and 40.56% (204/503) being co-infections. The positive detection rate was significantly higher in boys than that in girls (2.78% vs 2.33%, χ²=3.88, P=0.049). The highest infection rate was observed in toddlers, followed by infants (χ²=379.57, P<0.001). The positive rate peaked in 2021 and reached its lowest point in 2023 (χ²=45.49, P<0.001), with epidemics mainly prevalent in summer and autumn. The main clinical symptoms were cough (90.06%, 453/503), fever (75.94%, 382/503), and wheezing (39.96%, 201/503). Children with severe pneumonia showed a higher incidence of wheezing compared with the non-severe group (P<0.001), while underlying diseases and co-infections had no significant association with disease severity (P>0.05). ConclusionHBoV was an important pathogen of ALRTI in children, predominantly affecting infants and toddlers, with higher susceptibility in boys and seasonal peaks in autumn and summer. The main clinical manifestations included cough, fever, and wheezing, with wheezing being more prevalent in children with severe pneumonia.

Objective To investigate the epidemiological characteristics, influencing factors, and community dietary network drivers of clonorchiasis in Longjiang Village, Congjiang County, Guizhou Province using social network analysis from a One Health perspective, so as to provide insights into implementation of precision control measures. Methods Longjiang Village, Congjiang County, Guizhou Province was selected as a survey point. A total of 128 permanent residents at ages of over 6 years were sampled using a random sampling method, and subjects’ stool samples were collected. In addition, at least 10 fecal samples were collected from domestic cats and dogs, reservoir hosts of Clonorchis sinensis, and at least 80 freshwater snails and at least 200 freshwater fish, intermediate hosts of C. sinensis, were sampled in Longjiang Village. C. sinensis eggs were detected in human, domestic cat and domestic dog fecal samples using a modified Kato-Katz thick smear method (two slides for one stool sample) . The C. sinensis metacercariae were detected in freshwater fish with a compression method and the C. sinensis cercariae were detected in freshwater snails with a cercarial shedding method, respectively. Participants’ demographic characteristics, dietary and drinking hygiene behaviors and food-sharing relationships were collected with structured questionnaires and semi-structured in-depth interviews, and factors affecting C. sinensis infection were identified using regression analysis. Based on the north-south orientation delineated by the village river, participants were divided into groups a and b. Subjects’ food-sharing network was analyzed using social network analysis, and the Louvain algorithm was employed to investigate the community structure and key nodes of the network. Results The overall prevalence of C. sinensis infection was 33.59% (43/128) among participants in Longjiang Village, Congjiang County, Guizhou Province. The detection of C. sinensis metacercariae was 7.63% (22/288) in freshwater fish, and no C. sinensis cercariae were detected in freshwater snails. The prevalence of C. sinensis infection was 7.69% (1/13) in domestic cats, and no infection was detected in domestic dogs. Regression analysis identified age groups of 25 to 45 years [adjusted odds ratio (AOR) = 23.17, 95% confidence interval (CI): (1.85, 490.29)], Dong ethnicity [AOR = 26.80, 95% CI: (1.54, 1 105.09)], frequent consumption of raw water [AOR = 9.39, 95% CI: (1.58, 99.79)], and consumption of raw fish [AOR = 3.49, 95% CI: (1.52, 34.69)] as independent risk factors for C. sinensis infection among villagers in Longjiang Village (all P values < 0.05). Social network analysis showed a significantly higher global clustering coefficient (0.52 vs. 0.16; t = 2.41, P = 0.02) and average local clustering coefficient (0.52 vs. 0.16; t = 2.41, P = 0.02) in Group b than in Group a, and a significantly higher degree centrality was found among C. sinensis-infected individuals than among uninfected individuals in Group b (17.54 vs. 4.26; t = 2.33, P = 0.02). There was a high-risk community S11 with a 45.83% prevalence rate of C. sinensis infection in Group b, and C. sinensis-infected individuals with high betweenness centrality in Group b might serve as critical “bridges” in the food-sharing network, which facilitated the aggregation and diffusion of the risk of C. sinensis infection in the community. Conclusions Individual dietary behaviors, such as drinking raw water and consuming raw or undercooked fish, and sociocultural factors of household-neighborhood food-sharing networks, may contribute to the clustering transmission of clonorchiasis in Longjiang Village. The clonorchiasis control strategy is recommended to shift from individual-centered health education towards integrated interventions under a One Health framework in this region, which focus on key individuals within social networks, strengthen coordinated water and environmental management, and enhance community participation to improve the acceptability and sustainability of interventions.

ObjectiveTo explore the long-term dynamic trajectories of fasting blood glucose （FBG） and insulin resistance （IR） in patients with type 2 diabetes mellitus （T2DM） and their influencing factors. MethodsThis retrospective cohort study included 1 896 T2DM patients registered at Tongren Hospital from May 2020 to May 2025. Based on longitudinal follow-up data of FBG and fasting insulin， joint latent class mixed models （JLMM） were applied to identify FBG-IR trajectories. Univariate and multinomial logistic regression was used to examine demographic characteristics， lifestyle， and clinical determinants of trajectory type. ResultsFour distinct FBG-IR trajectories were identified： stable FBG-IR （9.76%）， rising FBG-stable IR （5.01%）， stable FBG-elevated IR （75.90%）， and elevated FBG-IR （9.34%）. Compared with the stable FBG-IR group， age ≥60 years was protective against the elevated FBG-stable IR trajectory （OR=0.55， 95%CI：0.33-0.92， P=0.023）. Highereducation increased the risk of stable FBG-elevated IR （OR=1.40， 95%CI：1.01-1.94， P=0.046）. Abnormal blood pressure was associated with lower risks of stable FBG-elevated IR （OR=0.66， 95%CI：0.48-0.92， P=0.013） and elevated FBG-IR （OR=0.48， 95%CI：0.31-0.74， P=0.001）. Non-drinkers were less likely to belong to the stable FBG-elevated IR trajectory （OR=0.39， 95%CI：0.16-0.95， P=0.038）. ConclusionsThe evolution trajectory of FBG and IR in T2DM patients shows significant heterogeneity. The majority of patients have a deterioration of IR first. Age， education level， blood pressure， and alcohol consumption are the main influencing factors. Joint assessment of FBG and IR is helpful for early identification of high-risk individuals and guiding individualized intervention.

Liposomes serve as critical carriers for drugs and vaccines,with their biological effects influenced by their size.The microfluidic method,renowned for its precise control,reproducibility,and scalability,has been widely employed for liposome preparation.Although some studies have explored factors affecting liposomal size in microfluidic processes,most focus on small-sized liposomes,predominantly through experimental data analysis.However,the production of larger liposomes,which are equally significant,remains underexplored.In this work,we thoroughly investigate multiple variables influencing liposome size during microfluidic preparation and develop a machine learning(ML)model capable of accurately predicting liposomal size.Experimental validation was conducted using a staggered herringbone micromixer(SHM)chip.Our findings reveal that most investigated variables significantly influence liposomal size,often interrelating in complex ways.We evaluated the predictive performance of several widely-used ML algorithms,including ensemble methods,through cross-validation(CV)for both lipo-some size and polydispersity index(PDI).A standalone dataset was experimentally validated to assess the accuracy of the ML predictions,with results indicating that ensemble algorithms provided the most reliable predictions.Specifically,gradient boosting was selected for size prediction,while random forest was employed for PDI prediction.We successfully produced uniform large(600 nm)and small(100 nm)liposomes using the optimised experimental conditions derived from the ML models.In conclusion,this study presents a robust methodology that enables precise control over liposome size distribution,of-fering valuable insights for medicinal research applications.

Spine fracture and dislocation are common traumatic spinal conditions that often require surgical intervention due to compromised spinal stability. Surgical approaches include anterior, posterior, and combined anterior-posterior spinal procedures. According to the specific surgical requirements, patients may be placed in the prone position or repositioned between prone and supine positions during surgery. Intraoperative repositioning has become an essential step in patient positioning. However, during repositioning, patients with spinal fracture and dislocation are at increased risk for complications such as hemodynamic instability, nerve injury, and pressure injuries to the skin and soft tissue. Notably, due to the instability of the spinal cord, even minor manipulations can further exacerbate the damage, potentially leading to severe outcomes like paraplegia. Although the current clinical guidelines provide instructive recommendations for standard position, there remains no specific protocols for intraoperative repositioning in patients with spine fracture and dislocation. With a concern for the lack of clinical studies on positioning techniques, risk prevention, and operational norms for special patients, no applicable guidelines or standards are available. A consensus was required to provide clinical reference, meet the requirements of surgical treatment, and minimize the safety risks of patients caused by improper placement of positions. Professional Committee of Operating Room Nursing of Shaanxi Nursing Association organized experts in nursing management and operating room nursing from major hospitals across China to formulate Expert consensus on intraoperative repositioning for patients with spinal fracture and dislocation ( version 2025). The consensus provides 11 recommendations covering pre-repositioning preparation, intraoperative maneuvers, and post-repositioning observation, aiming to provide references for clinical standardization of the intraoperative repositioning process and protection of patients′ safety.

Objective:To obtain a prevalent respiratory syncytial virus (RSV) clinical isolate in Beijing and analyze the genotype and biological characteristics of the strain.Methods:A nasopharyngeal secretion specimen was collected from a child with RSV infection in Beijing in 2023 and used for viral isolation. Viral nucleic acid was amplified using qRT-PCR. The isolated virus was identified by transmission electron microscopy, indirect immunofluorescence assay, and plaque formation assay. A phylogenetic analysis was conducted based on the whole-genome sequencing results. Virus titers were determined, and replication characteristics were analyzed. The efficacy of the isolated strain for in vitro screening of antiviral drugs was validated. Results:A clinical RSV isolate, named hRSV/C-Tan/BJ 202301, was successfully isolated, which could form syncytia in Hep-2 cells. Spherical, filamentous, and irregular virus particles were observed by electron microscopy. Immunofluorescence detection showed green fluorescence in Hep-2 cells, and plaque assay showed round plaques, which were similar to the Long strain in morphology. Genomic sequence analysis showed that it belonged to ON1 genotype. It exhibited similar cell growth kinetics characteristics with the Long strain and could be used for antiviral drug screening in vitro. Conclusions:In this study, one RSV strain is successfully isolated and identified. The biological characteristics and the phylogenetic relationship of this strain reflect the characteristics of the circulating strains in Beijing, which provides experimental material for RSV vaccine development and antiviral drug screening in China.

Objective:To identify and validate secreted effector proteins of Chlamydia psittaci ( C. psittaci) through bioinformatic prediction and experimental verification, and to characterize their subcellular localization in host cells. Methods:Potential effector proteins were predicted using bioinformatics tools. Candidate effectors were fused to β-lactamase through the constructed expression vectors, and these vectors were transformed into C. psittaci. The secretion of these candidate effectors was evaluated by β-lactamase translocation assays. Eukaryotic expression vectors of confirmed effectors were transfected into host cells to determine their intracellular localization patterns. Results:Bioinformatic analysis identified 29 candidate effector proteins. Experimental validation confirmed the secretion of five effectors, with four exhibiting cytoplasmic localization and one displaying nuclear localization in host cells.Conclusion:This study characterizes five novel C. psittaci secreted effector proteins, providing critical insights for investigating the molecular pathogenesis of psittacosis.

Objective:To investigate the efficacy of Saussurea involucrata injection (SII) in alleviating rheumatoid arthritis (RA) and to explore the mechanism of action of SII in alleviating RA through the Toll-like receptor 4 (TLR4)/nuclear factor-kappaBp65 (NF-κBp65) pathway-mediated M1 macrophage polarization.Methods:In vivo experiments were conducted using a collagen-induced arthritis (CIA) rat model. After successful modeling, the CIA rats were randomly assigned into five groups ( n=10 per group): CIA control group, MTX group, low-dose SII (L-SII) group, medium-dose SII (M-SII) group, and high-dose SII (H-SII) group. The efficacy of SII in alleviating RA was evaluated using arthritis index scores, histopathology, and ELISA to measure serum levels of nitric oxide (NO), interleukin 1β (IL-1β), IL-6, and tumor necrosis factor α (TNF-α). Subsequently, Western blot analysis was used to detect the expression of inducible nitric oxide synthase (iNOS) and CD86 proteins in synovial tissue. In vitro experiments involved first isolating and inducing rat bone marrow-derived macrophages (BMDMs). Then, BMDMs were polarized toward the M1 phenotype using lipopolysaccharide (LPS) combined with interferon-γ (IFN-γ). Concurrently, cells were treated with SII and the TLR4 inhibitor TAK242. Subsequently, ELISA was used to detect NO, IL-1β, TNF-α levels in the cell culture supernatant via ELISA. RT-qPCR was used to detect the expression of IL-1b, IL-6, and TNF-α genes in each group of cells. Western blot analysis was performed to detect the expression of iNOS, CD86, TLR4, myeloid differentiation primary response 88 (MyD88), and p-NF-κBp65/NF-κBp65 proteins in the cells. Data analysis between multiple groups was performed using one-way analysis of variance, and between pairs using LSD- t-tests. Results:In vivo experimental results showed that compared with the CIA group(7.90 ± 0.70), MTX and SII both improved the pathological symptoms of rats and reduced the ankle joint pathological score [MTX (4.40 ± 0.92), L-SII (7.00 ± 0.89), M-SII (5.10 ± 1.30), H-SII (4.90 ± 0.94), t=33.86, P<0.001; t=9.10, P<0.001; t=2.38, P=0.029; t=5.69, P<0.001; t=7.66, P<0.001], while downregulating serum levels of NO, IL-1β, IL-6, and TNF-α levels in serum, as well as iNOS [ t=30.01, P<0.001; t=6.17, P=0.003; t=10.86, P<0.001; t=28.95, P<0.001; t=19.03, P<0.001] and CD86 [ t=65.61, P<0.001; t=8.76, P<0.001; t=13.18, P<0.001; t=13.22, P<0.001; t=18.91, P<0.001] expression. In vitro experimental results showed that compared with BMDMs treated with LPS and IFN-γ, SII and TAK242 treatment reduced the levels of NO, IL-1β, IL-6, and TNF-α in the supernatant and decreased the expression of IL-1b, IL-6, and TNF-α genes. Additionally, SII and TAK242 treatment downregulated the expression of iNOS and CD86 proteins in cells, and simultaneously downregulated TLR4, MYD88, and p-NF-κBp65/NF-κBp65 expression ( t=35.84, P<0.001; t=15.69, P<0.001; t=21.99, P<0.001; t=23.64, P<0.001; t=22.50, P<0.001). Additionally, compared with the TAK242 group alone, TAK242 + H-SII showed no significant differences in the modulation of M1 macrophage polarization and TLR4/NF-κBp65 pathway-related indicators. Conclusion:SII exerts anti-inflammatory and anti-RA effects by inhibiting TLR4/NF-κBp65-mediated M1 macrophage polarization.

Objective:To examine the near-complete genomic analysis of norovirus (NoV) subtype GⅡ.17 [P17] outbreaks in Beijing Chaoyang District from 2014 to 2024.Methods:Data and specimens related to outbreaks of the NoV aggregation in Beijing′s Chaoyang District from 2014 to 2024 were collected. The NoV was identified using real-time fluorescence reverse transcription polymerase chain reaction (RT-PCR). Specimens with positive nucleic acid were amplified by standard PCR, whole genome sequencing and evolutionary analysis. Amino acid site variations were compared.Results:In Chaoyang District, from 2014 to 2024, a total of 637 aggregated outbreaks caused by the NoV infection were reported, of which 584 were successfully typed. The epidemic caused by the GⅡ.17 [P17] subtype accounted for 8.79% (56/637), which was the dominant epidemic gene subtype in 2014-2015, sporadic in 2016-2019, reappeared in 2022, and significantly increased in 2024 (27.27%, 24/88). Outbreaks caused by the GⅡ.17 [P17] subtype occurred mainly from October to December, with the main sites of occurrence in primary schools and kindergartens. This study yielded 53 near-complete genome sequences of the GⅡ.17 [P17] subtype from 46 incidents in Chaoyang District. The GⅡ.17 [P17] subtype sequences of Chaoyang District from 2014 to 2024 were segmented into three subgroups on the evolutionary tree, with sequences from 2014 to 2019, 2022 to April 2024, and May to December 2024 clustered into the d, e, and b subgroups, respectively. In the VP1 region′s P2 area, particularly at the HBGA binding site, subgroups b and e exhibited mutations in 22 and two sites, while subgroups b and e showed mutations in four and one sites, predominantly in the RdRp region.Conclusion:The outbreak caused by the NoV GⅡ.17 [P17] subtype in Chaoyang District from 2014 to 2024 continues, with a significant increase in 2024, and it becomes the dominant gene subtype from October to December. The sequence formation of the NoV GⅡ.17 [P17] subtype in Chaoyang District from January to April 2022 and from May to December 2024 shows two different evolutions, with specific mutation sites, requiring continuous monitoring of the NoV GⅡ.17 [P17] subtype.