Objective: To explore the correlation between the composition of bone marrow lymphocyte subsets and the clinical attributes observed in de novo AML patients, as well as their influence on prognosis. Methods: A detailed study was carried out on a cohort of 191 de novo acute myeloid leukemia patients who were admitted to our medical center between October 2022 and September 2024. In addition, a group of 24 patients with iron deficiency anemia individuals was carefully chosen as the control cohort. The proportions of lymphocyte subsets within the bone marrow of de novo AML patients were analyzed. Furthermore, an in-depth analysis was performed to investigate the association between the expression levels of these subsets in de novo AML patients and their clinical attributes, as well as their prognostic implications. Results: The proportion of CD19 and CD56 lymphocytes within the bone marrow of de novo AML patients significantly diminished compared to the control cohort (8.5% vs 13.2% P<0.05, and 15.5% vs 18.0%, P<0.05). Conversely, no significant discrepancies were observed in the CD3 , CD3 CD4 , and CD3 CD8 lymphocyte percentages between the AML patients and control group (71.7% vs 72.1%, 32.5% vs 33.7% and 32.8% vs 35.7%, P>0.05). When analyzing the relationships between lymphocyte subsets within the bone marrow of de novo patients and their respective clinical characteristics, patients aged 60 years and above exhibited diminished percentages of CD3 CD8 lymphocytes in the bone marrow compared to their younger counterparts (31.6% vs 34.1%, P<0.05), while the CD56 lymphocyte subsets demonstrated an increased prevalence (17.2% vs 14.4%, P<0.05). Furthermore, patients with leukocytosis (WBC≥100×10 /L) presented lower levels of CD3 and CD3 CD4 lymphocytes in the bone marrow compared with those without it (65.3% vs 72.9% P<0.05, and 28.9% vs 33.2%, P<0.05), respectively. The AML1-ETO fusion gene-positive cohort exhibited a higher prevalence of CD3 CD8 lymphocytes in the bone marrow than in the negative group (38.2% vs 32.3%, P<0.05), whereas the FLT3-ITD mutation-positive group presented a decreased prevalence of CD56 lymphocytes compared with the negative group (12.4% vs 16.8%, P<0.05). In addition, the NPM1 mutation-positive group demonstrated lower levels of CD3 CD8 lymphocytes in the bone marrow than in the negative group (29.1% vs 33.3%, P<0.05). Variables such as tumor protein p53(TP53) mutation positive, the absence of hematopoietic stem cell transplantation, and CD3 CD4 lymphocyte proportions below 25% were identified as independent adverse prognostic indicators for AML patients (P<0.05). Conclusion: The pathogenesis of AML is closely associated with an imbalance in bone marrow lymphocyte subsets. The FLT3-ITD mutation potentially contributes to the dysregulation of CD56 lymphocyte subset expression. The AML1-ETO fusion gene and NPM1 mutation are implicated in the abnormal expression of CD3 CD8 lymphocytes within the bone marrow. Moreover, the percentage of CD3 CD4 lymphocytes in the bone marrow serves as a prognostic factor for de novo AML patients.

Objective: To explore the correlation between the composition of bone marrow lymphocyte subsets and the clinical attributes observed in de novo AML patients, as well as their influence on prognosis. Methods: A detailed study was carried out on a cohort of 191 de novo acute myeloid leukemia patients who were admitted to our medical center between October 2022 and September 2024. In addition, a group of 24 patients with iron deficiency anemia individuals was carefully chosen as the control cohort. The proportions of lymphocyte subsets within the bone marrow of de novo AML patients were analyzed. Furthermore, an in-depth analysis was performed to investigate the association between the expression levels of these subsets in de novo AML patients and their clinical attributes, as well as their prognostic implications. Results: The proportion of CD19 and CD56 lymphocytes within the bone marrow of de novo AML patients significantly diminished compared to the control cohort (8.5% vs 13.2% P<0.05, and 15.5% vs 18.0%, P<0.05). Conversely, no significant discrepancies were observed in the CD3 , CD3 CD4 , and CD3 CD8 lymphocyte percentages between the AML patients and control group (71.7% vs 72.1%, 32.5% vs 33.7% and 32.8% vs 35.7%, P>0.05). When analyzing the relationships between lymphocyte subsets within the bone marrow of de novo patients and their respective clinical characteristics, patients aged 60 years and above exhibited diminished percentages of CD3 CD8 lymphocytes in the bone marrow compared to their younger counterparts (31.6% vs 34.1%, P<0.05), while the CD56 lymphocyte subsets demonstrated an increased prevalence (17.2% vs 14.4%, P<0.05). Furthermore, patients with leukocytosis (WBC≥100×10 /L) presented lower levels of CD3 and CD3 CD4 lymphocytes in the bone marrow compared with those without it (65.3% vs 72.9% P<0.05, and 28.9% vs 33.2%, P<0.05), respectively. The AML1-ETO fusion gene-positive cohort exhibited a higher prevalence of CD3 CD8 lymphocytes in the bone marrow than in the negative group (38.2% vs 32.3%, P<0.05), whereas the FLT3-ITD mutation-positive group presented a decreased prevalence of CD56 lymphocytes compared with the negative group (12.4% vs 16.8%, P<0.05). In addition, the NPM1 mutation-positive group demonstrated lower levels of CD3 CD8 lymphocytes in the bone marrow than in the negative group (29.1% vs 33.3%, P<0.05). Variables such as tumor protein p53(TP53) mutation positive, the absence of hematopoietic stem cell transplantation, and CD3 CD4 lymphocyte proportions below 25% were identified as independent adverse prognostic indicators for AML patients (P<0.05). Conclusion: The pathogenesis of AML is closely associated with an imbalance in bone marrow lymphocyte subsets. The FLT3-ITD mutation potentially contributes to the dysregulation of CD56 lymphocyte subset expression. The AML1-ETO fusion gene and NPM1 mutation are implicated in the abnormal expression of CD3 CD8 lymphocytes within the bone marrow. Moreover, the percentage of CD3 CD4 lymphocytes in the bone marrow serves as a prognostic factor for de novo AML patients.

Objective To explore the feasibility of constructing a short-term therapeutic efficacy prediction model for hepatocellular carcinoma(HCC)after radiofrequency ablation(RFA)based on texture analysis of preoperative MRI arterial phase images.Methods A retrospective analysis was conducted on 169 HCC patients treated with RFA.Based on the short-term therapeutic efficacy,the patients were divided into a good prognosis group(112 cases)and a poor prognosis group(57 cases).Texture features of preoperative MRI arterial phase images were extracted using Mazda software,and dimension reduction was performed through Fisher coefficient,mutual information,classification error probability,and mean correlation coefficient.The patients were divided into a training group(n=119)and a testing group(n=50)in a 7∶3 ratio.Independent sample t-tests and the least absolute shrinkage and selection operator(LASSO)algorithm were employed for further feature selection.Subsequently,a radiomics model was established using LASSO regression and evaluated through the receiver operating characteristic(ROC)curve and area under the curve(AUC).Results The radiomics model comprised features such as S_2__2_SumOfSqs,Teta1,S_5_0_DifVarnc,S_2_0_DifEntrp,Horzl_LngREmph,and S_5_5_InvDfMom.The AUC of the model were 0.987[95％confidence interval(CI)0.965-1.000]and 0.918(95％CI 0.818-1.000)in the training and testing groups,respectively.The sensitivity was 98.7％(95％CI 92.4-100)and 93.9％(95％CI 84.8-100),and the specificity was 97.5％(95％CI 90.0-100)and 88.2％(95％CI 70.6-100),respectively.Conclusion The construction of a predictive model for short-term therapeutic efficacy of HCC after RFA based on texture analysis of preoperative MRI arterial phase images is feasible and demonstrates good predictive performance.

Objective To investigate the relationship between combined plasma ferritin and triglyceride (TG) concentrations in early pregnancy and the risk of gestational diabetes mellitus (GDM). Methods A total of 1 000 pregnant women who had antenatal care at the Sixth Hospital of Wuhan from January 2021 to January 2023 were selected as the research subjects. The cut-offs of ferritin and TG were analyzed by using unrestricted cube splines. All participants were divided into 4 groups according to the cut‐off values of ferritin and TG. Associations between combined ferritin and TG concentrations and GDM risk were estimated using multivariable logistic regression models. Results A total of 158 (15.8%) participants were diagnosed with GDM. The ferritin and TG levels in early pregnancy of pregnant women in the GDM group were significantly higher than those in the non-GDM group (P<0.05). After adjusting for potential confounders, the OR for the risk of developing GDM after combining ferritin with TG was 2.35 (1.65, 3.35). Couclusion The increase in plasma ferritin and TG concentrations in early pregnancy is positively correlated with the increased risk of GDM. Pregnant women with high plasma ferritin (˃65.7 ng/mL) and high TG (˃1.9mmoL/L) have the greatest risk of GDM.

Objective:To investigate the CLEC3B protein of differentially expressed proteins(DEPs)in serum of normal persons and patients with sepsis,and explore the possibility that target C-type lectin domain family 3 member B(CLEC3B)protein was used as molecular markers of sepsis.Methods:Peripheral bloods of 10 healthy persons and 18 patients with sepsis were collected,and the data of peripheral serum proteins were collected by data independent acquisition(DIA)method.The data were uploaded to iDEP online platform to analyze the DEPs in peripheral blood of patients with sepsis.Bioinformatics analysis of these DEPs was conducted to screen out the key proteins of sepsis.Enzyme linked immunosorbent assay(ELISA)was used to verify and plot the receiver operating characteristic(ROC)curves of key proteins.Results:A total of 138 differentially expressed proteins(DEPs)were screened out by using proteomics analysis,of which 34 kinds of proteins were significantly down-regulated and 104 kinds of proteins were significantly up-regulated.DEPs mostly concentrated in cellular processes,biological regulation,biological process regulation,participating binding,catalytic activation,molecular function regulation,immune system,signal transduction and so on.A protein-protein interaction network was constructed by DEPs,which screened out the key protein CLEC3B.ELISA results showed that the CLEC3B protein concentration[(297.73±22.00)ng/mL]of patients in the sepsis group was significantly lower than that[(452.42±191.72)ng/mL]in the healthy group,and the difference was statistically significant(t=13.13,P=0.000).The area under curve(AUC)value of ROC curve,sensitivity and specificity of CLEC38 protein were respectively 0.998,97.73%and 100.0%.Conclusion:CLEC3B is significantly decreased in sepsis group,which sensitivity and specificity are high.It can be used as a potentially biological diagnostic biomarker of sepsis.

Objective:To explore the impact of sleep duration, physical exercise, and their interactions on the risk of dyslipidemia in older adults aged ≥80 (the oldest old) in China.Methods:The study subjects were the oldest old from four rounds of Healthy Aging and Biomarkers Cohort Study (2008-2009, 2011-2012, 2014 and 2017-2018). The information about their demographic characteristics, lifestyles, physical examination results and others were collected, and fasting venous blood samples were collected from them for blood lipid testing. Competing risk model was used to analyze the causal associations of sleep duration and physical exercise with the risk for dyslipidemia. Restricted cubic spline (RCS) function was used to explore the dose-response relationship between sleep duration and the risk for dyslipidemia. Additive and multiplicative interaction model were used to explore the interaction of sleep duration and physical exercise on the risk for dyslipidemia.Results:The average age of 1 809 subjects was (93.1±7.7) years, 65.1% of them were women. The average sleep duration of the subjects was (8.0±2.5) hours/day, 28.1% of them had sleep duration for less than 7 hours/day, and 27.2% had sleep for duration more than 9 hours/day at baseline survey. During the 9-year cumulative follow-up of 6 150.6 person years (follow-up of average 3.4 years for one person), there were 304 new cases of dyslipidemia, with an incidence density of 4 942.6/100 000 person years. The results of competitive risk model analysis showed that compared with those who slept for 7-9 hours/day, the risk for dyslipidemia in oldest old with sleep duration >9 hours/day increased by 22% ( HR=1.22, 95% CI: 1.07-1.39). Compared with the oldest old having no physical exercise, the risk for dyslipidemia in the oldest old having physical exercise decreased by 33% ( HR=0.67, 95% CI: 0.57-0.78). The RCS function showed a linear positive dose-response relationship between sleep duration and the risk for hyperlipidemia. The interaction analysis showed that physical exercise and sleep duration had an antagonistic effect on the risk for hyperlipidemia. Conclusion:Physical exercise could reduce the adverse effects of prolonged sleep on blood lipids in the oldest old.

Klebsiella oxytoca is an important opportunistic pathogen which cause community or hospital-acquired infections in adults and children. The disease it most causes is antibiotic-associated hemorrhagic colitis (AAHC). It can also cause diseases such as urinary tract infections, pneumonia and bloodstream infections. The cytotoxins including Tilivalline and Tilimycin are important virulence factors for Klebsiella oxytoca, mainly causing AAHC. This article reviewed the progress of research on the prevalence, pathogenicity and mechanisms of K.oxytoca, hoping to improve the understanding of K.oxytoca and provide guidance on disease prevention and treatment.

This paper summarized the clinical experience of using the method of “returning fire to its origin” for treatment of paroxysmal sympathetic hyperactivity （PSH）. According to the causes and clinical characteristics of PSH， the author believes that the deficiency of kidney qi， and the loss of yin and yang are the basis of the pathogenesis of PSH. Fright causes qi to be chaotic as the triggering mechanism of PSH. The key mechanism of PSH is that the deficiency yang with upper manifestation， and the fire does not return to its origin. The treatment should be nourishing yin and astringing yang， by taking modified Yinhuo Decoction （引火汤） internally， and receiving warm moxibustion as the first choice externally with selected acupoints Guanyuan （CV 4）， Mingmen （GV 4）， and bilateral Yongquan （KI 1）； For prevention， attention should be paid to take care of stomach qi， support healthy qi， and cultivate original qi.

Mycoplasma pneumoniae ( Mp) is an important pathogen causing community-acquired pneumonia. Macrolide is the first choice for the treatment of Mycoplasma pneumoniae pneumonia (MPP), while second-line drugs like tetracyclines or quinolones will be considered for pneumonia caused by macrolide-resistant Mycoplasma pneumoniae (MRMP). The isolation rate of MRMP has increased dramatically worldwide. Data from domestic and abroad indicate that MRMP is highly prevalent in Asian regions such as Japan, China, and Korea. The main mechanism of drug resistance in Mp is mutation A2063G of 23S rRNA V. In addition, mutations in the ribosomal protein L4 and L22 genes, ribosomal methylation modifications and the formation of efflux pumps are also significant drug resistance mechanisms. In this study, we summarize the treatment of MPP, the epidemiology of MRMP and the research progress of its mechanisms systematically.

As a vital part of laboratory examination, morphological evaluation and identification play an important role in clinical diagnosis, treatment and prognosis assessment. Traditional morphological image analysis mainly relies on manual microscopy, and missed diagnosis and misuse are unavoidable by the human readout method. The rapid development of artificial intelligence (AI) technology provides a new solution for morphological image analysis. The purpose of this review is to introduce the application of AI in the field of morphological image recognition and the progress of clinical research related to morphological image examination.