Objective Based on the “excellent” performance achieved by our institution in the 2024 national intercomparison of monitoring individual dose from external exposure, this paper systematically summarizes key technical elements and optimization experiences in instrument calibration, operational protocols, and data analysis, aiming to provide methodological references and practical support for continuously enhancing the accuracy and reliability of individual dose monitoring. Methods As a participant in the intercomparison activity, our laboratory strictly followed the technical protocol formulated by the Chinese Center for Disease Control and Prevention. Results In the 2024 national intercomparison of monitoring individual dose from external exposure, the measurement results met the criteria of single-group performance \begin{document}$ \left|{P}_{i}\right| $\end{document} ≤ 0.10 and comprehensive performance B² + S² ≤ 0.10², and were rated as excellent. Conclusion The accuracy and reliability of monitoring individual dose from external exposure depend on the precision of instrument calibration, standardization of operations, and strictness of quality control. The effectiveness of the above quality control methods has been confirmed by the practice of our laboratory. These methods can be used to ensure the accuracy of measurement results.

To address the current issues of data imbalance and scarcity in photoplethysmography (PPG) data for type 2 diabetes mellitus (T2DM) prediction, this study proposes an improved conditional Wasserstein generative adversarial network with gradient penalty (CWGAN-GP). The algorithm integrated gated recurrent unit (GRU) networks and self-attention mechanisms to construct a generator, aiming to produce high-quality PPG signals. Various data augmentation methods, including the improved CWGAN-GP, were employed to expand the PPG dataset, and multiple classifiers were applied for T2DM prediction analysis. Experimental results showed that the model trained on data generated by the improved CWGAN-GP achieved the optimal prediction performance. The highest accuracy reached 0.895 0, and compared with other data enhancement methods, this approach exhibited significant advantages in terms of precision and F1-score. The generated data notably enhances the accuracy and generalization ability of T2DM prediction models, providing a more reliable technical basis for non-invasive early T2DM screening based on PPG signals.
Photoplethysmography/methods* ; Diabetes Mellitus, Type 2/diagnosis* ; Humans ; Algorithms ; Neural Networks, Computer ; Signal Processing, Computer-Assisted ; Prediction Algorithms

Metastasis is the leading cause of death from cutaneous melanoma. Identifying metastasis-related targets and developing corresponding therapeutic strategies are major areas of focus. While functional genomics strategies provide powerful tools for target discovery, investigations at the protein level can directly decode the bioactive epitopes on functional proteins. Aptamers present a promising avenue as they can explore membrane proteomes and have the potential to interfere with cell function. Herein, we developed a target and epitope discovery platform, termed functional aptamer evolution-enabled target identification (FAETI), by integrating affinity aptamer acquisition with phenotype screening and target protein identification. Utilizing the aptamer XH3C, which was screened for its migration-inhibitory function, we identified the Chondroitin Sulfate Proteoglycan 4 (CSPG4), as a potential target involved in melanoma migration. Further evidence demonstrated that XH3C induces cytoskeletal rearrangement by blocking the interaction between the bioactive epitope of CSPG4 and integrin α4. Taken together, our study demonstrates the robustness of aptamer-based molecular tools for target and epitope discovery. Additionally, XH3C is an affinity and functional molecule that selectively binds to a unique epitope on CSPG4, enabling the development of innovative therapeutic strategies.

Traditional development of small protein scaffolds has relied on display technologies and mutation-based engineering, which limit sequence and functional diversity, thereby constraining their therapeutic and application potential. Protein design tools have significantly advanced the creation of novel protein sequences, structures, and functions. However, further improvements in design strategies are still needed to more efficiently optimize the functional performance of protein-based drugs and enhance their druggability. Here, we extended an evolution-based design protocol to create a novel minibinder, BindHer, against the human epidermal growth factor receptor 2 (HER2). It not only exhibits super stability and binding selectivity but also demonstrates remarkable properties in tissue specificity. Radiolabeling experiments with ^99mTc, ⁶⁸Ga, and ¹⁸F revealed that BindHer efficiently targets tumors in HER2-positive breast cancer mouse models, with minimal nonspecific liver absorption, outperforming scaffolds designed through traditional engineering. These findings highlight a new rational approach to automated protein design, offering significant potential for large-scale applications in therapeutic mini-protein development.

High mobility group box 1 (HMGB1), when released extracellularly, plays a pivotal role in the development of spinal cord synapses and exacerbates autoimmune diseases within the central nervous system. In experimental autoimmune encephalomyelitis (EAE), a condition that models multiple sclerosis, the levels of extracellular HMGB1 and interleukin-33 (IL-33) have been found to be inversely correlated. However, the mechanism by which IL-33 deficiency enhances HMGB1 release during EAE remains elusive. Our study elucidates a potential signaling pathway whereby the absence of IL-33 leads to increased binding of P300/CBP-associated factor with HMGB1 in the nuclei of astrocytes, upregulating HMGB1 acetylation and promoting its release from astrocyte nuclei in the spinal cord of EAE mice. Conversely, the addition of IL-33 counteracts the TNF-α-induced increase in HMGB1 and acetylated HMGB1 levels in primary astrocytes. These findings underscore the potential of IL-33-associated signaling pathways as a therapeutic target for EAE treatment.
Animals ; Encephalomyelitis, Autoimmune, Experimental/metabolism* ; Astrocytes/metabolism* ; Interleukin-33/metabolism* ; HMGB1 Protein/metabolism* ; Acetylation ; Mice, Knockout ; Mice, Inbred C57BL ; p300-CBP Transcription Factors/metabolism* ; Mice ; Spinal Cord/metabolism* ; Cells, Cultured ; Female ; Signal Transduction

The cooccurrence of NPM1, FLT3-ITD, and DNMT3A mutations (i.e., triple mutation) is related to dismal prognosis in patients with acute myeloid leukemia (AML) receiving chemotherapy alone. In this multicenter retrospective cohort study, we aimed to identify whether allogeneic hematopoietic stem cell transplantation (allo-HSCT) could overcome the poor prognosis of DNMT3A^mutNPM1^mutFLT3-ITD^mut AML across four transplant centers in China. Fifty-three patients with triple-mutated AML receiving allo-HSCT in complete remission were enrolled. The 1.5-year probabilities of relapse, leukemia-free survival, and overall survival after allo-HSCT were 11.9%, 80.3%, and 81.8%, respectively. Multivariate analysis revealed that more than one course of induction chemotherapy and allo-HSCT beyond CR1 were associated with poor survival. To our knowledge, this work is the largest study to explore the up-to-date undefined role of allo-HSCT in patients with triple-mutated AML. Our real-world data suggest that allo-HSCT could overcome the poor prognosis of DNMT3A^mutNPM1^mutFLT3-ITD^mut in AML.
Humans ; Nucleophosmin ; Leukemia, Myeloid, Acute/mortality* ; Hematopoietic Stem Cell Transplantation/methods* ; Male ; Female ; DNA Methyltransferase 3A ; Adult ; China ; Retrospective Studies ; DNA (Cytosine-5-)-Methyltransferases/genetics* ; Middle Aged ; Prognosis ; fms-Like Tyrosine Kinase 3/genetics* ; Mutation ; Young Adult ; Transplantation, Homologous ; Nuclear Proteins/genetics* ; Adolescent ; Aged

Polysaccharides, a class of complex macromolecules, are distinguished by their diverse biological functions and essential role in functional foods. The distinctive biological activities of polysaccharides from medicine and food homology materials (MFPs), including immunomodulation, carbohydrate metabolism regulation, and lipid metabolism regulation properties, have attracted considerable scientific attention. The relationship between polysaccharides and gut microbiota is fundamental to human health, as polysaccharides demonstrate efficacy in ameliorating various conditions-from inflammatory bowel disease (IBD) to obesity and diabetes-through their influence on intestinal flora composition and diversity. Although polysaccharide research and applications show promise, significant challenges persist, particularly regarding extraction and purification methodologies, and the complete understanding of their biological mechanisms. Future investigations should prioritize understanding the correlation between polysaccharide structure and function, advancing large-scale production and application technologies, and establishing productive interdisciplinary collaborations. MFPs demonstrate significant potential for advancing sustainable development and human health, building upon current research findings. This paper presents a comprehensive review of global developments in the extraction, purification, structural characterization, biological activities, and applications of MFPs, emphasizing opportunities for scientific and technological innovations in specialized dietary food development.
Polysaccharides/isolation & purification* ; Humans ; Functional Food/analysis* ; Gastrointestinal Microbiome/drug effects* ; Animals

Objective To investigate the correlation between platelet-to-albumin ratio(PAR)and occurrence of cerebral infarction after left atrial appendage closure(LAAC)in patients with non-valvular atrial fibrillation(NVAF).Methods A retrospective study was conducted on 259 NVAF patients undergoing LAAC in our department between 2019 and 2023.According to occurrence of cerebral infarction after LAAC or not,they were divided into a control group(241 cases)and a study group(18 cases).Their general data were collected,and Cox proportional hazards regression model was used to identify the risk factors for cerebral infarction.ROC curve was plotted to assess the predictive value of PAR for cerebral infarction in NVAF patients after LAAC,and the AUC value was calculated.Kaplan-Meier survival curve was drawn to analyze the incidence of cerebral infarction after LAAC in NVAF patients with different PAR values.Results The study group had significantly advanced age,higher SBP at admission,increased WBC,neutrophil,monocyte and platelet counts,longer thrombin time,elevated international normalized ratio(INR)and high-sensitivity C-reactive protein(hs-CRP)level,and higher PAR than the control group(P＜0.05,P＜0.01).Multivariate Cox regression analysis showed that PAR(HR=2.286,95％CI:1.182-4.420,P＜0.05)was an independent risk factor for cerebral infarction in NVAF patients after LAAC.ROC curve indicated that the AUC value of PAR in predicting cerebral infarction after LAAC in NVAF patients was 0.721(95％CI:0.586-0.856,P＜0.01),with an optimal cut-off value of 4.137,a sensitivity of 66.39％,and a specificity of 77.78％.Kaplan-Meier survival curve revealed that the higher the PAR value was,the higher the risk of cerebral infarction was(P＜0.01).Conclusion PAR is significantly correlated with cerebral infarction in NVAF patients after LAAC.The higher the PAR,the higher the risk of cerebral infarction,demonstrating its predictive value and being worthy of clinical promotion.

Combined vaccines can simplify the vaccination process, improve coverage rates, reduce the risk of adverse events following immunization, lower social costs, and improve the timeliness of childhood vaccination. This article focuses on multi-component vaccines based on the diphtheria-tetanus-pertussis containing vaccine. Globally, multiple combined vaccines have been developed and marketed, but the development of combined vaccine is still in its infancy stage in China, with limited vaccine types and doses available. The research, development, and application of combined vaccines still face numerous challenges in China, including technical challenges in research and development, as well as insufficient motivation for research and development. Additionally, the high cost of existing combined vaccines, coupled with low public awareness and weak vaccination intentions, significantly hinders their widespread application, China should continue to rigorously implement the Vaccine Administration Law of the People's Republic of China, promote innovative development of combined vaccines, increase public awareness, strengthen child guardians' confidence in vaccination, and improve the accessibility and affordability of combined vaccines to protect public health across all life stages.

The health and well-being of the elderly have become a focal point for all sectors of society. As an effective means of preventing and controlling infectious diseases, vaccination plays a critical role in safeguarding human health. For older adults, timely and scientifically guided vaccination can significantly reduce the risk of serious illnesses while alleviating the associated economic burdens and pressure imposed on society. However, in practice, deficiencies in policy support, accessibility of vaccination services, and public awareness hinder some elderly individuals from fully benefiting from the protective effects of vaccines. This paper analyzes current vaccination practices for the elderly globally and proposes strategies to improve vaccination coverage, providing a scientific basis for advancing effective vaccination initiatives for this demographic in China.