Congenital blood group chimerism refers to the coexistence of two or more distinct blood types within an individual, resulting from the presence of hematopoietic cell populations with different genotypes. Consequently, red blood cells in such individuals may express different blood group antigens. Based on the timing and mechanism of formation, blood group chimerism can be classified as either congenital or acquired. Although congenital blood group chimerism is rare and involves complex mechanisms, it holds significant implications in transfusion medicine, transplantation, and obstetrics. This article reviews the formation mechanisms, detection methods, and clinical significance of congenital blood group chimerism in transfusion medicine. Particular emphasis is placed on the principles, advantages, and limitations of various detection techniques. Furthermore, the potential applications of these technologies in clinical diagnosis are discussed, providing a technical foundation for the development of precise transfusion strategies.

OBJECTIVE To analyze the selection and rationales of comparators for pharmaceutical enterprises in their medical insurance access application， so as to provide a reference for promoting communication and consensus between enterprises and medical insurance authorities in this process. METHODS The application materials for drugs outside the catalogue that passed formal review published by the National Healthcare Security Administration from 2021 to 2025 were extracted， and then content analysis was used to systematically sort out relevant information of the declared drugs and comparators； the specific situations and rationales of pharmaceutical enterprises’ selection of comparators were analyzed. RESULTS A total of 1 341 declared drug documents were collected. Data analysis showed that 1 035 （77.18%） were submitted with positive comparators and 306 （22.82%） used blank comparators； 58 drugs （4.33%） took combination therapy as the reference， and 5 drugs （0.37%） referred to non-pharmacological （or non-single pharmacological） treatment regimens. Among competitive drugs declared by multiple enterprises， 50.00% of the enterprises submitted different comparators. A total of 4 basic conditions and 39 additional conditions were extracted as the rationales for selecting positive comparators. For blank comparators， 12 drug-related factors， 2 administrative factors， and 1 other factor were identified. More than 10% of the drugs did not state the rationale for comparator selection， and over 44% of drugs using blank comparators provided only one justification. CONCLUSIONS Pharmaceutical enterprises mainly select comparators based on their own interests in the medical insurance access application， and there are deficiencies in the adequacy and standardization of their selection basis and reasoning. It is recommended that enterprises follow the principled requirements of medical insurance authorities， and fully and normatively explain the reasons for selecting comparators in combination with the characteristics of their own products. Meanwhile， it is advisable to change the current open-ended statement form of selection reasons into a closed-ended answering mode， so as to highlight the priority of selection， standardize the declaration behavior of enterprises， and reduce communication divergences between the two parties.

Objective: To analyze the spatial-temporal clustering characteristics of pulmonary tuberculosis (PTB) in Zhangjiajie City, Hunan Province from 2016 to 2024, so as to provide a basis for formulating regional PTB prevention and control strategies. Methods: Data of reported PTB cases in Zhangjiajie City from 2016 to 2024 were collected from the Tuberculosis Surveillance System of China Disease Prevention and Control Information System, and the reported incidence of PTB was analyzed. Joinpoint regression model was used to analyze the trend in reported incidence of PTB from 2016 to 2024. With township (subdistrict) as the basic spatial unit, global and local spatial autocorrelation and hotspot analysis were used to analyze the spatial distribution characteristics of PTB, and spatial-temporal scan analysis was used to identify spatial-temporal clustering characteristics. Results: A total of 14 176 PTB cases were reported in Zhangjiajie City from 2016 to 2024, with an average annual reported incidence of 104.42/105, showing an overall downward trend (AAPC=-5.005%, P<0.05). Global spatial autocorrelation analysis showed that except for 2021-2022, the reported incidence of PTB showed positive spatial correlation in other years, with Moran's I values ranging from 0.134 to 0.306 (all P<0.05). Local spatial autocorrelation analysis and hotspot analysis showed that high-high clusters and hotspot areas from 2016 to 2024 were concentrated in Badagongshan Town, Longtanping Town, Chenjiahe Town, Shanghexi Township, and Liaojiacun Township of Sangzhi County, and Yinjiaxi Township and Luoshui Township of Yongding District. Spatial-temporal scan analysis showed that Class Ⅰ cluster was located in the northwest, centered on Badagongshan Town, covering 13 townships in Sangzhi County, with clustering period spanning from 2017 to 2020. The Class Ⅱ cluster was located in the southwest, centered on Maoyanhe Town, covering 7 townships in Yongding District, with clustering period spanning from 2020 to 2023. Conclusions The reported incidence of PTB in Zhangjiajie City from 2016 to 2024 showed an overall downward trend. The spatial-temporal clusters shifted from the northwest of Sangzhi County to the southwest of Yongding District.

Objective To understand the latent profiles of kinesiophobia in kidney transplant recipients and explore the influencing factors of different profiles.Methods A cross-sectional study was conducted on 230 kidney transplant recipients subjected with convenient sampling from Department of Nephrology,the First Affiliated Hospital of Army Medical University from November 2024 to February 2025.General Information Questionnaire,Tampa Scale of Kinesiophobia-11(TSK-11),Exercise Compliance Questionnaire,Fatigue Scale-14(FS-14),Patient Health Questionnaire-9(PHQ-9)and Chinese Version of the Self-Efficacy to Manage Chronic Disease Scale(C-SEMCD)were used for investigation and latent profile analysis.Univariate analysis and logistic regression analysis were applied to explore the influencing factors of different profiles.Results Kinesiophobia in the participants was classified into 3 latent profiles:fearless movement type-low kinesiophobia group(54 cases,23.48%),cautious movement type-moderate kinesiophobia group(98 cases,42.61%),and resistant movement type-high kinesiophobia group(78 cases,33.91%).Statistical differences were observed among the 3 groups in terms of age,education level,post-operative duration,depression score,fatigue score,and self-efficacy score of chronic disease management(P<0.05).Logistic regression analysis showed that age(OR=8.82,95%CI:1.27～61.10),education level[junior high school or below(OR=0.14,95%CI:0.04～0.50);technical secondary school or senior high school(OR=0.08,95%CI:0.02～0.27)],post-operative duration[<1 year(OR=11.39,95%CI:2.53～51.30);1-5 years(OR=11.05,95%CI:2.48～49.22)],fatigue(OR=1.32,95%CI:1.10～1.59),and depression(OR=1.53,95%CI:1.19～1.98)were influencing factors for resistant movement type-high kinesiophobia in the kidney transplant recipients.Education level(technical secondary school or senior high school:OR=0.32,95%CI:0.12-0.86)and self-efficacy of chronic disease management(OR=0.95,95%CI:0.90-1.00)were influencing factors for cautious movement type-moderate kinesiophobia in the recipients.Conclusion Kinesiophobia in kidney transplant recipients can be classified into 3 latent profiles.Recipients'age,education level,post-operative duration,fatigue,and depression are influencing factors for the resistant movement type-high kinesiophobia,and education level and chronic disease management self-efficacy are important influencing factors for the cautious movement type-moderate kinesiophobia.

Traditionally, type 2 diabetes was regarded as a chronic, progressive metabolic disorder, with its pathogenesis considered a continuous and irreversible process. However, with advancements in diabetes research, treatment options have become more diverse, offering the potential for " diabetes remission". Achieving remission holds substantial significance for patients, their families, and society as a whole. This article provides an overview of the latest research progress on the remission of type 2 diabetes mellitus.

OBJECTIVE To investigate the distribution and drug resistance of multidrug-resistant bacteria in the neonatal intensive care unit of a three-A children's hospital in Henan Province,and to provide reference for ational drug use in clinical practice.METHODS Clinical specimens from hospitalized newborns in neonatal intensive care unit from a three-A children's hospital from Jan.1,2019 to Dec.31,2023 were subjected to etiological exam-ination and drug sensitivity test,and to analyze the distribution and drug resistance of multidrug-resistant bacteri-a in hospitalized newborns.RESULTS During the 5-year period,1139 strains of multidrug-resistant bacteria were i-solated,including 229 gram-positive bacteria(20.11％)and 910 gram-negative bacteria(79.89％).There were 92 strains of methicillin-resistant Staphylococcus aureus(MRSA)(accounting for 8.08％),57 strains(accounting for 5.00％)of methicillin-resistant coagulase-negative Staphylococcus epidermidis and 28 strains(accounting for 2.46％)of methicillin-resistant coagulase-negative human Staphylococcus.370 strains(accounting for 32.48)of carbapenem-resistant Klebsiella pneumoniae(CRKP),268 strains(accounting for 23.53％)of extenspectrum β-lactamase-producing Escherichia coli and 85 strains(accounting for 7.46％)of K.pneumoniae,there were 767 sputum specimens(67.34％),160 blood specimens from peripheral intravenous puncture and central venous cath-eterization(PICC)(14.05％),63 bronchoalveolar lavage fluid specimens(5.53％),29 secretion specimens(eye and wound secretions)(2.54％),and 120 other specimens(10.54％).K.pneumoniae and E.coli producing su-per-broad spectrum β-lactamase,CRKP and MRSA were the main drug-resistant bacteria.CONCLUSION The sit-uation of drug resistance in neonatal intensive care unit is serious,therefore monitoring bacterial resistance should be strengthened according to the clinical laboratory results,and antibiotics should be applied rationally.

AIM:To investigate the modulatory effects of electroacupuncture(EA)on spinal cord neurons au-tophagy in rats with bone cancer pain.METHODS:(1)Verification of autophagy-related protein expression at different time points in a bone cancer pain model:a total of 56 female Sprague-Dawley(SD)rats were randomly divided into a sham-operated(sham)group and a model group.The model group was further subdivided into 6 subgroups corresponding to time points of 3,6,9,12,15,and 18 d,with 8 rats per subgroup.Thermal and mechanical pain thresholds,tibial bone destruction,and spinal neuron marker neuronal nuclear antigen(NeuN)co-localized with LC3B,Beclin1,and P62 were examined in rats at each designated time point.(2)Changes in spinal autophagy proteins following EA intervention:an additional 40 rats were randomly assigned to sham group,model group,EA group,sham EA(SEA)group,and autoph-agy agonist rapamycin(Rap)group,with 8 animals per group.EA was administered to the rats in EA group beginning on day 6 after modeling,the rats in SEA group received needle insertion without electrical stimulation,while those in Rap group received intraperitoneal injections of rapamycin(5 mg/kg).Thermal pain thresholds were assessed at designated in-tervals,followed by mechanical pain threshold assessments conducted on the subsequent day.Treatment continued until day 21,with rapamycin administered at the end of each intervention day.Tibial bone destruction was evaluated using he-matoxylin-eosin(HE)staining.Expression levels of LC3B Ⅱ/LC3B I,Beclin1,and P62 proteins in the spinal cord were determined by Western blot and immunohistochemistry.RESULTS:(1)Compared with the Sham group,thermal and mechanical pain thresholds were significantly decreased in the model group starting from day 6(P<0.01).Rat tibial bones exhibited notable damage,with severity progressively increasing over time.Protein expression levels of LC3B Ⅱ/LC3B I,Beclin1,and P62 were significantly elevated in the spinal cord at various time points(P<0.01),and these pro-teins were co-localized with spinal cord neurons.(2)Compared with the model group,mechanical and thermal pain thresholds in the EA and Rap groups gradually increased,with statistically significant differences observed from days 8 and 6 onward,respectively(P<0.01).In addition,LC3B Ⅱ/LC3B I and Beclin1 protein expression levels were signifi-cantly upregulated(P<0.01),whereas P62 expression was markedly downregulated(P<0.01).Immunohistochemical analysis demonstrated significantly enhanced positive staining for LC3B Ⅱ/LC3B I and Beclin1 and significantly decreased positive staining for P62 in the spinal cord of rats in the EA and Rap groups(P<0.05).Notably,no significant differences were observed in the SEA group(P>0.05).CONCLUSION:EA promotes spinal cord neurons autophagy in rats with bone cancer pain.The enhancement of autophagy may represent a potential mechanism underlying the analgesic effect of EA in bone cancer pain.

The diagnosis of hematological disorders is currently established from the combined results of different tests, including those assessing morphology (M), immunophenotype (I), cytogenetics (C), and molecular biology (M) (collectively known as the MICM classification). In this workflow, most of the results are interpreted manually (i.e., by a human, without automation), which is expertise-dependent, labor-intensive, time-consuming, and with inherent interobserver variability. Also, with advances in instruments and technologies, the data is gaining higher dimensionality and throughput, making additional challenges for manual analysis. Recently, artificial intelligence (AI) has emerged as a promising tool in clinical hematology to ensure timely diagnosis, precise risk stratification, and treatment success. In this review, we summarize the current advances, limitations, and challenges of AI models and raise potential strategies for improving their performance in each sector of the MICM pipeline. Finally, we share perspectives, highlight future directions, and call for extensive interdisciplinary cooperation to perfect AI with wise human-level strategies and promote its integration into the clinical workflow.

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

Vast majority of human RNA are non-coding RNA(ncRNA),which can regulate physiological activities and affects functions on cells.Although each part of them is obscure,they are involved in different levels of gene regulation,from epigene-tic gene silencing to post transcriptional regulation.Metabolic reprogramming of tumor-associated macrophages(TAMs)can promote tumor progression and is closely related to activation phenotypes of anti-tumor(M1)or pro-tumor(M2).A lot of ncRNAs are involved in metabolic reprogramming of TAMs,reshaping tumor microenvironment and playing a key role in tumor progression.Improving understanding of effect on ncRNA regulating metabolic reprogramming of TAMs may provide new methods for developing effective clinical treatments.