A 51-year-old male presented with nasal obstruction, followed by progressive hearing loss and blurred vision. Imaging identified space-occupying lesions in the paranasal sinuses, orbits, and paraspinal regions, while laboratory tests confirmed positive anti-proteinase 3 anti-neutrophil cytoplasmic antibody(PR3- ANCA) immunoglobulin G (IgG)and markedly elevated serum IgG4. Despite treatment with corticosteroids, immunosuppressants, and radiotherapy, the patient exhibited steroid dependency with relentless disease progression. Following multidisciplinary consultation, a diagnosis of inflammatory myofibroblastic tumor (IMT) coexisting with ANCA- associated vasculitis (AAV) was favored, though IgG4-related disease remained a critical differential. Ultimately, profound immunosuppression precipitated a severe herpesvirus infection, leading to disseminated intravascular coagulation and multiple organ dysfunction syndrome. This case underscores the rarity and diagnostic complexity of concurrent IMT and AAV, highlights the therapeutic dilemma of balancing primary disease control against fatal opportunistic infections, and emphasizes the critical role of multidisciplinary collaboration in the diagnosis and treatment of complex diseases.

When inflammation is continuously activated or dysregulated， it can induce chronic tissue injury and organ dysfunction， and participate in the occurrence and development of various inflammatory diseases such as atherosclerosis and inflammatory bowel disease. Owing to high targeting， long-acting efficacy and programmability， nucleic acid drugs provide a new direction for the treatment of inflammatory diseases. This article reviews the classification， mechanism of action and application progress of nucleic acid drugs in inflammatory diseases. It is found that small interfering RNA （siRNA） can specifically cut target mRNA through RNA interference to achieve inhibiting the expression of the target protein； antisense oligonucleotide （ASO） can inhibit target protein expression by inducing microRNA （miRNA） degradation or regulating splicing processes； miRNA can achieve network intervention by regulating multiple inflammatory target genes. At present， important breakthroughs have been made in the field of inflammatory diseases with siRNA drugs including Lumasiran， Nedosiran （for primary hyperoxaluria 1） and Inclisiran （for atherosclerosis）， ASO drugs including Donidalorsen （for hereditary angioedema）， Volanesorsen and Olezarsen （for familial chylomicronemia syndrome） and Lademirsen （for Alport syndrome）， as well as miRNA drugs including Obefazimod （for inflammatory bowel disease） and Remlarsen （for pathological fibrosis）. These drugs are expected to become a new generation of anti-inflammatory therapeutic strategies and bring more precise and efficient treatment options for patients with chronic inflammation and fibrotic diseases.

Objective To analyze the status of willingness to participate in health science popularization (HSP) and its influencing factors among medical workers in Guangdong Province. Methods A total of 462 medical workers in Guangdong Province were recruited as the study subjects using a stratified convenience sampling method. The Questionnaire on Influencing Factors of Willingness to Participate in Health Science Popularization, developed by the research team, was used to investigate their willingness to participate in HSP and related variables, including previous communication experience, attitude, moral belief, descriptive norm, injunctive norm, self-efficacy, and social support. Hierarchical regression analysis was used to identify the influencing factors of willingness to participate in HSP. Results The median and 25^th and 75^th percentiles score of willingness to participate in HSP was 4.0 (3.8, 4.5), indicating a moderately high level of willingness. The HSP participation willingness score was positively correlated with scores for previous communication experience, attitude, moral belief, descriptive norm, injunctive norm, self-efficacy, and social support (Spearman correlation coefficients were 0.513, 0.384, 0.507, 0.533, 0.463, 0.556, and 0.435, respectively; all P<0.01). Hierarchical regression analysis showed that previous communication experience, moral belief, descriptive norm and self-efficacy positively predicted willingness to participate in HSP (all P<0.05). Medical workers in the non-Pearl River Delta region had lower willingness than those in the Pearl River Delta region for HSP participation (P<0.05). Conclusion There is still room for improving willingness for HSP participation among healthcare professionals in Guangdong Province. It is recommended to enhance self-efficacy through communication skills training, strengthen professional ethics education, foster a positive peer engagement atmosphere, and intensify resource support and capacity building for HSP in the non-Pearl River Delta region, to improve HSP participation willingness among medical workers in Guangdong Province.

OBJECTIVE To explore the risk factors for serum COVID-19 antibodies in the population of Fuzhou to provide scientific basis for prevention and control strategies.METHODS The prospective study and the multi-stage stratified random sampling method were performed to select at least 200 subjects from each of the 12 counties(cit-ies)in Fuzhou.Questionnaires follow-ups and serum collections were conducted in Mar,Jun,Sep,and Dec.2024,respectively.The antibody levels in Dec.were divided into a high protective antibody group(IgG antibody≥50 AU/ml)and a low protective antibody group(IgG antibody≤20 AU/ml).The influencing factors of serum anti-body levels were analyzed by multivariate logistic regression model.RESULTS A total of 2816 subjects were en-rolled.In Mar,1454 subjects with high-protective antibodies were identified.After nine months of follow-up,of the 1454 subjects,344 had high protective antibodies and 369 had low protective antibodies in Dec..There were statistically significant differences in age,presence of typical symptoms after infection,underlying diseases,surgi-cal history,healing time,smoking and drinking histories between the high and low antibody groups(P<0.05).Multivariate logistic regression model showed that older age,underlying diseases,history of surgery,smoking and drinking were risk factors which could reduce antibody levels(P<0.05),while typical symptoms after infec-tion and longer recovery time were protective factors which could increase antibody levels(P<0.05).After the COVID-19 infection in spring of 2024,the serum antibody levels in Fuzhou residents showed the downward trend,especially after Sep.2024,with a more pronounced downward trend.CONCLUSIONS According to the risk factors of COVID-19 antibody levels,prevention and control efforts should be focused on the key population.It is necessa-ry to strengthen health education and carry out vaccination to maintain the levels of immunity to protect population from COVID-19 infection.

OBJECTIVE To explore the risk factors for severe influenza patients in Fuzhou,and to provide reference for the prevention and control of severe influenza.METHODS Information on 412 patients with severe influenza in Fuzhou City with onset dates from Jan.2023 to Jan.2025 was collected from the China Influenza Surveillance In-formation System and the China Disease Prevention and Control Information System.The severe patients were matched 1∶1 with non-severe patients based on gender and age±3 years of the severe patients.Basic infor-mation,vaccination history,clinical symptoms,types of infecting viruses and medical history of both groups of patients were collected to summarize the risk factors for severe illness progression in influenza patients.RESULTS The proportions of obesity,retired personnel,children or students,unemployed individuals and smokers in the se-vere group were all higher than those in the non-severe group,while the vaccination rate(6.07％)was lower than that of the non-severe group(16.50％)(P＜0.001).The proportions of typical symptoms of shortness of breath/dyspnea and altered mental status/convulsions in the severe group were 23.30％and 21.60％,respectively,which were higher than those in the non-severe group(P＜0.001).The proportions of individuals with a history of chro-nic respiratory diseases and cancer/tumors in the severe group were 26.70％and 19.90％,respectively,which were higher than those in the non-severe group(P＜0.001).The proportion of influenza A(H1 N1)in the severe group(58.50％)was higher than that in the non-severe group(39.32％)(P＜0.001).Retired personnel,children or students and unemployed individuals were high-risk groups for the severe influenza,while farmers were a low-risk group.Obesity(OR=1.966),unvaccination(OR=3.738),smoking(OR=1.787),typical symptoms of shortness of breath/dyspnea(OR=3.305),altered mental status/convulsions(OR=4.099),history of chronic respiratory diseases(OR=4.820)and history of cancer/tumors(OR=3.269)and infection with influenza A(H1N1)(OR=6.422)and influenza A(H3N2)(OR=4.441)were risk factors for the severe influenza(P＜0.05).The recovery time in the severe group was 21(6,33)days,which was longer than that in the non-severe group(P＜0.001).CONCLUSIONS Obesity,unvaccination,smoking,typical symptoms of shortness of breath/dyspnea,altered mental status/convulsions,history of chronic respiratory diseases and history of cancer/tumors and infection with influenza A(H1N1)and influenza A(H3N2)are risk factors for severe influenza patients.It is necessary to strengthen influenza prevention and control among the elderly and children,enhance health edu-cation,and continuously promote influenza vaccination among key populations.

Objective:To develop an artificial intelligence (AI)-based platelet review strategy to identify abnormal platelet histograms with no significant difference between initial impedance platelet count (PLT-I) and PLT-F results.Methods:This study included 5 119 routine blood analysis in Nanfang Hospital of Southern Medical University and its Ganzhou branch from July 2023 and March 2024. Specimens exhibiting abnormal platelet histograms and an initial platelet count >40×10?/L underwent review using the fluorescent platelet count (PLT-F) channel. Consistency of the results was defined as a difference between impedance platelet count (PLT-I) and PLT-F less than ±20% of the PLT-F results. A deep learning model was developed using platelet and red blood cell histogram data from a training set of 3 807 specimens. The model′s diagnostic performance was evaluated on an independent external validation set ( n=805) using receiver operating characteristic (ROC) curve analysis. Changes in the number of reviewed samples and sample turnaround time were analyzed to assess its clinical utility. Results:The deep learning model based on platelet and red blood cell histograms achieved an area under the ROC curve (AUC) of 0.854 in the training set. At a cutoff value of 0.1, the sensitivity was 0.954 and specificity was 0.358. The model could reduce review by 16.80% (190/1 131). In the validation set, the AUC was 0.805, with a sensitivity of 0.955 and specificity of 0.307, corresponding to a reduction of 17.41% (47/270) in reviewed specimens.Conclusion:The platelet review prediction model developed based on deep learning technology can efficiently identify samples with consistent results before and after review, reducing unnecessary reviews and shortening specimen testing time, thereby improving the efficiency of platelet test.

Objective:To establish a day 4 embryo evaluation protocol by analyzing embryonic characteristics affecting blastocyst formation, and validate its clinical effectiveness.Methods:This retrospective cohort study included clinical data from 1 037 patients who underwent fresh in vitro fertilization and embryo transfer (IVF-ET) on day 4 in Center for Reproductive Medicine of Xingtai Meihe Reproductive and Genetic Hospital between January 2018 and April 2024. Morphological assessments were performed at (92±2) h post-fertilization. After excluding 1 326 embryos selected for fresh transfer, 2 723 embryos underwent blastocyst culture. To address selection bias in transferred embryos, the scoring system was primarily based on high-quality blastocyst formation rates. Multivariate binary regression analysis evaluated how day 4 developmental stage, fragmentation rate, stage-specific cleavage patterns, multinucleation/vacuolization affected transferable blastocyst formation rate and high-quality blastocyst rate. Regression coefficients determined parameter weights for high-quality blastocyst formation, establishing a day 4 embryo scoring protocol that compared outcomes across different grades. The scoring system was validated by comparing transferable blastocyst formation rate, high-quality blastocyst rate, and implantation rate among different day 4 embryo grades. All embryos were further rescored according to three previously reported evaluation schemes [Feil 2008, Gemma 2015, and European Society of Human Reproduction and Embryology (ESHRE) 2011]. The predictive values of these three day 4 scoring systems and the day 4 scoring system established in this study were compared using the area under the curve (AUC) receiver operating characteristic (ROC) curve in predicting the formation rate of transferable blastocyst, the formation rate of high-quality blastocyst, and implantation rate. Results:In the prediction of high-quality blastocyst formation, early blastocyst showed the highest influence weight compared to embryos with the ratio of blastomere numbers on day 4 to those on day 3 (BNR) <1.2 ( B=3.398, OR=29.915, P<0.001), followed by fragmentation <10% versus ≥50% ( B=1.263, OR=3.535, P<0.001), a stage-specific cleavage pattern ( B=0.903, OR=2.467, P=0.005), and absence of multinucleation or vacuoles ( B=0.797, OR=2.218, P=0.007). Using the newly developed day 4 scoring system, embryos were graded A, B, C, D, E. Transferable blastocyst formation rates were 88.57% (279/315), 76.99% (241/313), 56.11% (280/499), 40.27% (238/591) and 14.22% (143/1 005), respectively; high-quality blastocyst rates were 51.42% (162/315), 35.46% (111/313), 20.04% (100/499), 9.47% (56/591) and 3.98% (40/1 005). All inter-group differences were statistically significant (all P<0.005). Implantation rates for transferred embryos of grades A-E declined sequentially: 63.18% (381/603), 56.19% (322/573), 38.29% (54/141), 26.53% (13/49) and 9.67% (3/31). The day 4 embryo scoring system proposed in this study demonstrated significantly higher predictive efficacy for transferable blastocyst formation rate (AUC=0.812), high-quality blastocyst formation rate (AUC=0.804), and implantation rate (AUC=0.603) compared with Feil 2008 (AUC=0.797, P<0.001; AUC=0.781, P<0.001; AUC=0.585, P<0.001), Gemma 2015 (AUC=0.773, P<0.001; AUC=0.771, P<0.001; AUC=0.542, P=0.006), and ESHRE 2011 (AUC=0.710, P<0.001; AUC=0.745, P<0.001; AUC=0.592, P<0.001). We also observed the presence of pseudo-compacted embryo, whose transferable blastocyst formation rate [38.28% (49/128)] and high-quality blastocyst formation rate [7.03% (9/128)] were similar to those of cleavage-stage embryos with a BNR≥1.2. Conclusion:The established day 4 morphological assessment system reliably predicts the potential to transferable blastocyst and high-quality blastocyst, and effectively forecasts implantation rates.

Autoimmune diseases, cancers, and viral infections pose significant global health threats, characterized by chronic pathology, unregulated cellular proliferation, and rapid transmission, respectively, requiring urgent early warning and treatment strategies. Antibodies, primarily classified into autoantibodies and therapeutic antibodies based on their clinical roles, provide essential information and show considerable value in the precise diagnosis and treatment of these serious diseases. Among the technologies utilized in bioanalysis, electrochemical biosensors, with their unique advantages of rapid response, high sensitivity, miniaturization, cost-effectiveness and user-friendly operation, have been developed as a trending technology for precise diagnostic and therapeutic drug monitoring. This review systematically summarizes the relationships and roles of clinically relevant antibodies in autoimmune diseases, cancers, and viral infections, while detailing the composition, strategies, development, and application trends of relevant electrochemical biosensors. Furthermore, it highlights the remaining challenges and opportunities for the advancement and prospects of electrochemical sensors in the context of clinically relevant antibodies.

Periodontal disease is a risk factor for many systemic diseases such as Alzheimer's disease and adverse pregnancy outcomes. Cleft palate (CP), the most common congenital craniofacial defect, has a multifaceted etiology influenced by complex genetic and environmental risk factors such as maternal bacterial or virus infection. A prior case-control study revealed a surprisingly strong association between maternal periodontal disease and CP in offspring. However, the precise relationship remains unclear. In this study, the relationship between maternal oral pathogen and CP in offspring was studied by sonicated P. gingivalis injected intravenously and orally into pregnant mice. We investigated an obvious increasing CP (12.5%) in sonicated P. gingivalis group which had inhibited osteogenesis in mesenchyme and blocked efferocytosis in epithelium. Then glycolysis and H4K12 lactylation (H4K12la) were detected to elevate in both mouse embryonic palatal mesenchyme (MEPM) cells and macrophages under P. gingivalis exposure which further promoted the transcription of metallopeptidase domain17 (ADAM17), subsequently mediated the shedding of transforming growth factor-beta receptor 1 (TGFBR1) in MEPM cells and mer tyrosine kinase (MerTK) in macrophages and resulted in the suppression of efferocytosis and osteogenesis in palate, eventually caused abnormalities in palate fusion and ossification. The abnormal efferocytosis also led to a predominance of M1 macrophages, which indirectly inhibited palatal osteogenesis via extracellular vesicles. Furthermore, pharmacological ADAM17 inhibition could ameliorate the abnormality of P. gingivalis-induced abnormal palate development. Therefore, our study extends the knowledge of how maternal oral pathogen affects fetal palate development and provides a novel perspective to understand the pathogenesis of CP.
Animals ; Female ; Porphyromonas gingivalis ; Pregnancy ; Mice ; Cleft Palate/etiology* ; Glycolysis