Natural human leukocyte antigen (HLA) antibodies refer to preformed antibodies present in the body that are not induced by prior exposure to allogeneic HLA antigens. In healthy individuals without a sensitization history, the detection rate of natural HLA antibodies is approximately 20%-29% when using screening assays with low sensitivity, and can reach up to 63% when more sensitive HLA-specific detection methods are employed. It is therefore inferred that natural HLA antibodies may also be present in transplant candidates with a similar prevalence. This review comprehensively discusses the potential mechanisms of natural HLA antibody generation, the characteristics of the recognized epitopes, detection techniques, clinical relevance in transplantation, their potential to confound therapeutic decisions, and approaches to distinguish and mitigate their impact. The goal is to raise clinician awareness of the objective existence of natural HLA antibodies, provide guidance on evaluating their association with allograft rejection, and inform appropriate clinical management strategies when encountering natural HLA antibody-positive transplant candidates.

OBJECTIVES: To characterize fine particulate matter (PM _2.5)-bound polycyclic aromatic hydrocarbons (PAHs) emitted from different cooking fumes and their exposure routes and assess their health-associated impact to provide a reference for health risk prevention from PAH exposure across different age and sex groups. METHODS: Sixteen PM _2.5-bound PAHs emitted from 11 cooking styles were analyzed using GC-MS/MS. The health hazards of these PAHs in the Handan City population (stratified by age and sex) were predicted using the incremental lifetime cancer risk ( ILCR) model. The respiratory deposition doses ( RDDs) of the PAHs in children and adults were calculated using the PM _2.5 deposition rates in the upper airway, tracheobronchial, and alveolar regions. RESULTS: The total concentrations of PM _2.5-bound PAHs ranged from 61.10 to 403.80 ng/m ³. Regardless of cooking styles, the ILCR _total values for adults (1.23 × 10 ^-6 to 3.70 × 10 ^-6) and older adults (1.28 × 10 ^-6 to 3.88 × 10 ^-6) exceeded the acceptable limit of 1.00 × 10 ^-6. With increasing age, the ILCR _total value first declined and then increased, varying substantially among the population groups. Cancer risk exhibited particularly high sensitivity to short exposure to barbecue-derived PAHs under equivalent body weights. Furthermore, barbecue, Sichuan and Hunan cuisine, Chinese cuisine, and Chinese fast food were associated with higher RDDs for both adults and children. CONCLUSION ILCR _total values exceeded the acceptable limit for both females and males of adults, with all cooking styles showing a potentially high cancer risk. Our findings serve as an important reference for refining regulatory strategies related to catering emissions and mitigating health risks associated with cooking styles.
Humans ; Polycyclic Aromatic Hydrocarbons/analysis* ; Cooking/methods* ; Male ; Female ; Particulate Matter/analysis* ; Adult ; Child ; Middle Aged ; Air Pollutants/analysis* ; Adolescent ; Air Pollution, Indoor/analysis* ; Young Adult ; Child, Preschool ; Aged ; China ; Inhalation Exposure ; Age Factors ; Sex Factors ; Cities ; Infant

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Natural human leukocyte antigen (HLA) antibodies refer to preformed antibodies present in the body that are not induced by prior exposure to allogeneic HLA antigens. In healthy individuals without a sensitization history, the detection rate of natural HLA antibodies is approximately 20%-29% when using screening assays with low sensitivity, and can reach up to 63% when more sensitive HLA-specific detection methods are employed. It is therefore inferred that natural HLA antibodies may also be present in transplant candidates with a similar prevalence. This review comprehensively discusses the potential mechanisms of natural HLA antibody generation, the characteristics of the recognized epitopes, detection techniques, clinical relevance in transplantation, their potential to confound therapeutic decisions, and approaches to distinguish and mitigate their impact. The goal is to raise clinician awareness of the objective existence of natural HLA antibodies, provide guidance on evaluating their association with allograft rejection, and inform appropriate clinical management strategies when encountering natural HLA antibody-positive transplant candidates.

Objective To establish the therapeutic effect prediction model of platelet transfusion in hematological patients,and receiver operating characteristic(ROC)curve and clinical cases are used to evaluate the clinical application value of the predic-tion model.Methods A total of 485 patients with hematological diseases who received platelet transfusion therapy in Kailuan General Hospital from January 2020 to December 2023 were selected,corrected count increment(CCI)was used to divide the patients into platelet transfusion effective group(n=340)and transfusion ineffective group(n=145).Multivariate Logistic regres-sion analysis was used to establish the prediction model of platelet infusion efficacy,and ROC curve was used to evaluate the application effect of the forcasting model.109 clinical cases were used to verify the practical application effect of the model,and the sensitivity,specificity and accuracy were calculated.Results Among 485 patients with hematological diseases,the incidence of ineffective platelet transfusion was 29.90%(145/485).Compated with the effective group,the ineffective group had more previous platelet transfusions was higher,and the difference was statistically significant(t=-4.435,P<0.05).In the ineffective group,there were more cases of hyperplenism,aplastic anemia and lymphoma,higher infection rate and higher positive rate of platelet antibody,and the differences were statistically significant(χ2=6.301～37.522,all P<0.05).Multivariate Logistic regres-sion analysis found that previous platelet infusion times,infection,leukemia,aplastic anemia and platelet antibodies were risk factors for ineffective platelet transfusion in patients with hematological diseases(Wald χ2=5.224～21.548,all P<0.05).Based on these risk factors,platelet infusion effect prediction models 1 and 2 were constructed.ROC curve was used to evaluate the application effect of the prediction model.The area under the curve(AUC),cut-offpoint,sensitivity and specificity of model 1 were 0.884,0.042,82.35%,88.89%.The AUC,cut-offpoint,corresponding sensitivity and specificity of prediction model 2 were 0.910,59.784,81.18%,94.44%,respectively.The Z values of model 1 and model 2 were 12.159 and 13.151,respectively.The prediction effect of model 2 was better than that of model 1.The actual application results showed that the sensitivity,specificity and accuracy of prediction model 1,2 were 85.71%,92.05%,90.89%and 90.48%,93.18%,92.66%,respectively.Conclusion The ineffective rate of platelet transfusion in hematological patients is relatively high.The prediction models 1 and 2 for platelet transfusion effectiveness have good results in predicting ineffective platelet transfusion,and prediction model 2 is better than pre-diction model 1,which can provide reliable basis for hematological patients on accurate platelet transfusion.

Vertebral refracture following percutaneous vertebral augmentation (PVA) is commonly seen in elderly patients with osteoporotic thoracolumbar compression fractures (OTLCF). It can lead to recurrent pain, loss of vertebral height, progression of kyphosis, and even neurological dysfunction, significantly impairing patients′ quality of life. Current diagnosis and treatment face multiple challenges, including high misdiagnosis rate, difficulty in choosing between surgical and non-surgical treatment options, lack of standardized surgical protocols, interference from intralesional bone cement during procedures, inadequate stability of internal fixation in osteoporotic bone, and suboptimal compliance of anti-osteoporotic therapy. Establishing a standardized diagnostic and therapeutic framework is urgently needed. To standardize the management process and improve outcomes for vertebral refractures after PVA in elderly OTLCF patients, Spinal Trauma Group of the Orthopedic Branch of Chinese Medical Doctor Association organized experts in the field to develop Guideline for the diagnosis and treatment of vertebral refracture after percutaneous vertebral augmentation in elderly patients with osteoporotic thoracolumbar compression fractures ( version 2025), based on current literature and clinical experience, and adhering to principles of scientific rigor and clinical applicability. A total of 11 recommendations were proposed, encompassing diagnosis, treatment, and rehabilitation of vertebral refracture after PVA in elderly patients with OTLCF, aiming to provide a foundation for a standardized management.

Objective:To describe the prevalence of preserved ratio impaired spirometry (PRISm) in participants from the China Kadoorie Biobank (CKB) and explore the influencing factors.Methods:The CKB project conducted the baseline survey, the first and the second resurvey in 2004-2008, 2008, and 2013-2014, respectively. Based on the lung function tests, the participants were categorized into three groups: regular, PRISm, and airflow obstruction. The prevalence of PRISm was reported by gender, age, and region at the baseline survey. The secular trend in the prevalence of PRISm was described during the three surveys. Finally, we used the multiple logistic regression model to examine the factors related to PRISm in the baseline survey.Results:After standardization for gender, age, and region according to the sixth national census data in 2010, the overall prevalence of PRISm and airflow obstruction among the 434 760 participants at baseline was 24.8% and 6.1%, respectively. The prevalence of PRISm was higher in rural (25.4%) than that in urban areas (24.3%). Of the 10 study regions, Gansu had the highest prevalence of PRISm (56.0%), while Henan had the lowest (15.4%). After standardization for gender, age, and region according to the baseline population, the prevalence of PRISm decreased from 24.9% at baseline to 15.7% in the second resurvey, and the prevalence of airflow obstruction increased from 5.9% to 21.4%. Unmarried status, current smoking, using solid fuels for cooking, low body weight, being overweight, obesity, and central obesity were associated with an increased risk of PRISm. In contrast, higher education attainments, increased household income, and maintaining a specific degree of physical activity were associated with a reduced risk of PRISm.Conclusions:The prevalence of PRISm was high in adults aged 40 years and above in China, and it varied by sociodemographic and lifestyle factors.

Objective:To investigate the specific mechanisms underlying the protective effect of interleukin (IL) -27 in the pathogenesis of psoriasis.Methods:Five skin tissue samples from healthy individuals and 6 lesional skin samples from psoriasis patients were collected, and IL-27 expression was determined by immunohistochemical staining. Il27ra gene knockout (KO) mice were constructed. Psoriasis-like mouse models were established with topical imiquimod in 5 wild-type (WT) mice and 6 KO mice. Mouse skin lesions were evaluated using the modified Psoriasis Area and Severity Index (mPASI), and lesional skin tissues were collected for hematoxylin and eosin (HE) staining to observe changes in epidermal thickness. Single-cell suspensions were prepared with skin lesions and skin-draining lymph nodes of 4 WT mice and 3 KO mice, and changes in immune cells (including T cells, γδ T cells, and neutrophils) were analyzed using flow cytometry. Additionally, skin-draining lymph node cells were isolated from 9 normal WT mice, and IL-17A expression was stimulated using a T-cell receptor agonist (CD3/28 activating antibodies, αCD3/28) or cytokines (IL-23 + IL-1β), followed by the addition of IL-27; peripheral blood mononuclear cells (PBMCs) were isolated from 6 psoriasis patients, and IL-17A expression was stimulated using the T-cell receptor agonist, followed by the addition of IL-27; the effect of IL-27 on IL-17A expression in T cells was analyzed using flow cytometry and enzyme-linked immunosorbent assay (ELISA). Measurement data were compared between two groups using the t test. Results:Immunohistochemical staining revealed a significant reduction in IL-27 expression in psoriatic lesions (mean fluorescence intensity: 9.85 ± 3.07) compared with the normal skin (19.45 ± 2.51, t = 5.60, P < 0.001). Animal experiments demonstrated that the KO mice exhibited significantly aggravated psoriasis-like skin inflammation (mPASI: 4.00 ± 0.89) and significantly increased epidermal thickness (115.50 ± 7.69 μm) compared with the WT mice (mPASI: 2.80 ± 0.84, t = 2.28, P = 0.049; epidermal thickness: 92.26 ± 8.76 μm, t = 4.70, P = 0.001) ; compared with the WT mice, the KO mice showed significantly increased proportions of T cells (11.22% ± 2.76% vs. 7.08% ± 0.85%) and dermal γδ T cells (4.78% ± 0.39% vs. 2.78% ± 0.49%) among live cells in the lesions ( t = 2.91, 2.75, respectively, both P < 0.05), as well as significantly increased proportions of Th17, IL-17 + γδ T, Th22, and IL-22 + γδ T cells in the skin-draining lymph nodes (all P < 0.05), but no significant difference in the proportion of neutrophils in the lesions (WT: 13.57% ± 8.36%, KO: 14.43% ± 9.13%; t = 0.13, P = 0.902). Experiments with different stimuli showed that IL-27 significantly suppressed T-cell receptor agonist-induced IL-17A expression in murine γδ T cells (αCD3/28 group: 1.00 ± 0.11, αCD3/28 + IL-27 group: 0.76 ± 0.13; t = 3.54, P = 0.004), while there was no significant difference in IL-17A expression between cells induced by IL-23 + IL-1β with the IL-27 co-culture and those without ( t = 1.34, P > 0.05). ELISA showed that IL-27 significantly reduced the IL-17A concentration in the culture supernatant of draining lymph node cells stimulated by the T-cell receptor agonist (αCD3/28 group: 1 535.00 ± 97.76 pg/ml, αCD3/28 + IL-27 group: 1 030.00 ± 287.90 pg/ml, t = 3.29, P = 0.031), but did not reduce the IL-17A concentration induced by IL-23 + IL-1β ( t = 0.09, P > 0.05). Flow cytometry indicated that IL-27 significantly inhibited the T-cell receptor agonist-induced IL-17A expression in T cells from psoriasis patients (αCD3/28 group: 4.28 ± 3.25, αCD3/28 + IL-27 group: 3.04 ± 2.65, t = 4.46, P = 0.007) . Conclusion:IL-27 appeared to play a protective role in psoriasis by suppressing IL-17A secretion from T cells.

Objective:To explore the application of machine learning (ML) models based on radiomics and dosiomics to the assessment of hematologic toxicity (HT) in patients with locally advanced cervical cancer, and to preliminarily explore the comprehensive application of multi-omics features.Methods:A retrospective study was conducted on the clinical data, planning computed tomography (CT) images, and dose files of 205 patients with locally advanced cervical cancer who received concurrent chemoradiotherapy at the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, from January 2022 to June 2023. Patients were categorized according to the severity of HT. Radiomics and dosiomics features were extracted from the same regions of interest (ROIs), followed by feature selection utilizing a random forest algorithm. Then, radiomics, dosiomics, and hybrid models were established based on extreme gradient boosting (XGBoost). The classification performance of these models was assessed by calculating their sensitivity, specificity, and area under the receiver operating characteristic curve (AUC).Results:The radiomics model yielded sensitivity, specificity, and AUC of 0.42, 0.86, and 0.78, respectively. The dosiomics model exhibited sensitivity, specificity, and AUC of 0.50, 0.90, and 0.74, respectively. In contrast, the hybrid model achieved sensitivity, specificity, and AUC of 0.50, 0.83, and 0.83, respectively. These findings suggest that the hybrid model possessed an enhanced classification capability compared to the individual radiomics and dosiomics models.Conclusions:It is feasible to use ML models based on radiomics and dosiomics to conduct the classification and prediction of HT in patients with locally advanced cervical cancer treated with concurrent chemoradiotherapy. Furthermore, integrating both radiomics features and dosiomics features can improve the classification performance of relevant prediction models, thus holding application potentials to optimize treatment strategies for patients with locally advanced cervical cancer.