OBJECTIVE: To understand clinical and laboratory characteristics of acute myeloid leukemia, myelodysplasia-related (AML-MR). METHODS: Blood sample of one patient with AML-MR admitted to our hospital in September 2021 was collected and synthetically analyzed by using techniques including complete blood cell count, peripheral blood and bone marrow cell morphology, bone marrow pathology and immunohistochemistry, hematology examination, flow cytometry (FCM), chromosome karyotype analysis and molecular pathology. The clinical and laboratory characteristics of AML-MR were analyzed and summarized according to the World Health Organization (WHO) standards. RESULTS: The patient showed pancytopenia and increased proportion of blasts in smear of peripheral blood cells. Bone marrow cytology and pathological examination showed significant proliferation of hematopoietic cells. Pathological immunohistochemistry showed increased expression of CD61, CD34, and CD117, while MPO, CD13, and CD33 were positive. FCM showed that abnormal myeloid progenitor cells accounted for approximately 18.61% of the total number of nuclear cells, with expression of CD34, CD13, CD117, HLA-DR, and CD33 (small amount). Additionally, 36.34% of the cells were primitive/immature red blood cells which expressed CD36, CD71, and CD117 (small amount). Chromosome karyotype analysis and molecular pathology detected three kinds of abnormalities including -5 and two kinds of TP53 related gene mutation, respectively. CONCLUSION AML-MR patient shows pancytopenia and increased proportion of blasts in smear of peripheral blood cells. Bone marrow cytology and pathological examination show significant proliferation of hematopoietic cells. FCM can detect myeloid progenitor cells and primitive/immature red blood cells, while chromosome karyotype analysis can detect three abnormal karyotypes.
Humans ; Leukemia, Myeloid, Acute/diagnosis* ; Myelodysplastic Syndromes ; Flow Cytometry ; Karyotyping ; Male ; Middle Aged ; Mutation

OBJECTIVE: To explore the characteristics of laboratory examination of secondary sideroblastic anemia (SA). METHODS: A retrospective analysis was conducted on the general information of a case of alcohol-induced secondary SA, and relevant domestic and foreign literature was reviewed to summarize the clinical characteristics of this disease. RESULTS: The patient was diagnosed with microcytic hypochromic anemia, with abnormal red blood cells detected, such as elliptocytes, target cells, and teardrop cells, etc. Iron overload and more than 15% of ring sideroblasts were detected by Perls' Prussian blue staining of bone marrow smear, while periodic acid-schiff (PAS) staining, EGR1 and SF3B1 gene tests were all negative, and rare genotype of Hong Kong α-thalassemia (possibly HKαα/αα or HKαα/-α^3.7) was observed. CONCLUSION Patient medical history and medication history, peripheral blood and bone marrow cytological morphology, genetic testing, cytogenetics, etc. are helpful for the diagnosis of secondary SA.
Humans ; Anemia, Sideroblastic/complications* ; alpha-Thalassemia/complications* ; Retrospective Studies ; Male

Tailored lipid nanoparticles (LNPs)-mediated small interfering RNA (siRNA) nanomedicines show promise in treating liver disease, such as acute liver injury (ALI) and non-alcoholic steatohepatitis (NASH). However, constructing LNPs that address biosafety concerns, ensure efficient delivery, and target specific hepatic subcellular fractions has been challenging. To evade above obstacles, we develop three novel self-degradable "gemini-like" ionizable lipids (SS-MA, SS-DC, SS-MH) by incorporating disulfide bonds and modifying the length of ester bond and tertiary amino head. Our findings reveal that the disulfide-bond-bridged LNPs exhibit reduction-responsive drug release, improving both biosafety and siRNA delivery efficiency. Furthermore, the distance of ester bond and tertiary amino head significantly influences the LNPs' pK _a, thereby affecting endosomal escape, hemolytic efficiency, absorption capacity of ApoE, uptake efficiency of hepatocytes and liver accumulation. We also develop the modified-mannose LNPs (M-LNP) to target liver macrophages specifically. The optimized M-MH_LNP@TNFα exhibits potential in preventing ALI by decreasing tumor necrosis factor α (TNFα) levels in the macrophages, while MH_LNP@DGAT2 could treat NASH by selectively degrading diacylglycerol O-acyltransferase 2 (DGAT2) in the hepatocytes. Our findings provide new insights into developing novel highly effective and low-toxic "gemini-like" ionizable lipids for constructing LNPs, potentially achieving more effective treatment for hepatic diseases.

OBJECTIVE: Humans are exposed to complex mixtures of environmental chemicals and other factors that can affect their health. Analysis of these mixture exposures presents several key challenges for environmental epidemiology and risk assessment, including high dimensionality, correlated exposure, and subtle individual effects. METHODS: We proposed a novel statistical approach, the generalized functional linear model (GFLM), to analyze the health effects of exposure mixtures. GFLM treats the effect of mixture exposures as a smooth function by reordering exposures based on specific mechanisms and capturing internal correlations to provide a meaningful estimation and interpretation. The robustness and efficiency was evaluated under various scenarios through extensive simulation studies. RESULTS: We applied the GFLM to two datasets from the National Health and Nutrition Examination Survey (NHANES). In the first application, we examined the effects of 37 nutrients on BMI (2011-2016 cycles). The GFLM identified a significant mixture effect, with fiber and fat emerging as the nutrients with the greatest negative and positive effects on BMI, respectively. For the second application, we investigated the association between four pre- and perfluoroalkyl substances (PFAS) and gout risk (2007-2018 cycles). Unlike traditional methods, the GFLM indicated no significant association, demonstrating its robustness to multicollinearity. CONCLUSION GFLM framework is a powerful tool for mixture exposure analysis, offering improved handling of correlated exposures and interpretable results. It demonstrates robust performance across various scenarios and real-world applications, advancing our understanding of complex environmental exposures and their health impacts on environmental epidemiology and toxicology.
Humans ; Environmental Exposure/analysis* ; Linear Models ; Nutrition Surveys ; Environmental Pollutants ; Body Mass Index

OBJECTIVE: This study aimed to explore the association between body mass index (BMI) and mortality based on the 10-year population-based multicenter prospective study. METHODS: A general population-based multicenter prospective study was conducted at four sites in rural China between 2013 and 2023. Multivariate Cox proportional hazards models and restricted cubic spline analyses were used to assess the association between BMI and mortality. Stratified analyses were performed based on the individual characteristics of the participants. RESULTS: Overall, 19,107 participants with a sum of 163,095 person-years were included and 1,910 participants died. The underweight (< 18.5 kg/m ²) presented an increase in all-cause mortality (adjusted hazards ratio [ aHR] = 2.00, 95% confidence interval [ CI]: 1.66-2.41), while overweight (≥ 24.0 to < 28.0 kg/m ²) and obesity (≥ 28.0 kg/m ²) presented a decrease with an aHR of 0.61 (95% CI: 0.52-0.73) and 0.51 (95% CI: 0.37-0.70), respectively. Overweight ( aHR = 0.76, 95% CI: 0.67-0.86) and mild obesity ( aHR = 0.72, 95% CI: 0.59-0.87) had a positive impact on mortality in people older than 60 years. All-cause mortality decreased rapidly until reaching a BMI of 25.7 kg/m ² ( aHR = 0.95, 95% CI: 0.92-0.98) and increased slightly above that value, indicating a U-shaped association. The beneficial impact of being overweight on mortality was robust in most subgroups and sensitivity analyses. CONCLUSION This study provides additional evidence that overweight and mild obesity may be inversely related to the risk of death in individuals older than 60 years. Therefore, it is essential to consider age differences when formulating health and weight management strategies.
Humans ; Body Mass Index ; China/epidemiology* ; Male ; Female ; Middle Aged ; Prospective Studies ; Rural Population/statistics & numerical data* ; Aged ; Follow-Up Studies ; Adult ; Mortality ; Cause of Death ; Obesity/mortality* ; Overweight/mortality*

Objective To propose a random forest(RF)algorithm-based prediction method for diabetic retinopathy(DR)to solve the problems due to multi feature dimension for detecting diabetes follow-up data and outliers and noises in the values of some indicators in the disease samples.Methods Firstly,the feature selection of the follow-up dataset of diabetic patients from the endocrinology and metabolism departments of Shanghai Jiao Tong University Affiliated Sixth People's Hospital and Kobe University Hospital in Japan was carried out using the Weka tool to screen out the features or subsets that were hightly correlated with DR;secondly,a model for assisting clinical diagnosis of DR was constructed based on feature subsets and RF algorithm;finally,model comparison experiments and ablation experiments were performed to validate the model performance and to determine which feature contributed the most to the model.Results The feature subset containing disease duration,glycosylated hemoglobin(HbA1c),thyroid stimulating hormone(TSH),total bilirubin(T-bilirubin),low density lipoprotein(LDL),serum creatinine(sCr)and albumin(ALB)correlated the most with RF.A model was constructed based on the above findings with RF algorithm,which behaved better than other models in terms of precision(0.92),accuracy(0.91),F1 score(0.91)and AUC(0.95).The results of ablation experiments showed that the disease duration contributed the most to the model,followed by albumin and serum creatinine,and then by LDL,total bilirubin,glycosylated hemoglobin and thyroid stimulating hormone.Conclusion The RF algorithm-based prediction method with high accuracy can be used for assisted diagnosis of DR.[Chinese Medical Equipment Journal,2024,45(11):8-14]

Objective To establish a rapid high performance liquid chromatography-tandem mass spectrometry(HPLC-MS/MS)method for the determination of linezolid and vancomycin in trace plasma/serum from pediatric patients with severe infection.Methods The plasma/serum specimens(10 μL)were precipitated by methanol,then the supernatant was injected for detection directly.The internal standards were linezolid-D3 and norvancomycin.The chromatographic separation was performed with gradient elution on a Kinetex? EVO C18 column(30.0 mm × 2.1 mm,2.6 μm)using water and acetonitrile,each containing 0.1％formic acid,as mobile phase.The flow rate was 0.5 mL·min-1 and column temperature was 40 ℃.The injection volume was 2 μL and the total run time was 2 min.For mass spectrometry,electrospray ionization source was chosen,positive ion monitoring was used with multi-reaction monitoring(MRM)mode.The selectivity,lower limit of quantification(LLOQ)& calibration curve,accuracy & precision,recovery,matrix effect,stability,cross detection of plasma and serum samples,evaluation of hemolytic and hyperlipidemic effect were investigated.Results The retention times of linezolid,vancomycin,internal standard linezolid-D3 and norvancomycin were 1.18,1.03,1.17 and 1.01 min,respectively.The calibration curves of linezolid and vancomycin were y=8.95 × 10-1x+3.49 × 10-3(r=0.997 1)and y=3.13 × 10-1x+6.93 × 10-2(r=0.997 4),with the linear ranges of 0.2-25.6 μg·mL-1 and 1-128 μg·mL-1,and the lower limits of quantification were 0.2 μg·mL-1 and 1 μg·mL-1,respectively.The intra-run and inter-run precisions relative standard deviation(RSD)were both less than 9.55％.The average extraction recoveries of the two drugs were 96.24％-104.57％.The RSDs of internal standards-normalized matrix effect were no more than 7.58％.Plasma and serum matrix samples could be cross-detected.The maximum tolerable hemolysis degree of linezolid and vancomycin were 2％and 5％,respectively,and the hyperlipidemic effect did not affect the quantitation.The stability of the samples was good under test conditions.This method was successfully applied to the analysis of plasma samples from 28 pediatric patients with severe infection in our hospital.Conclusion This assay is sample-saving,simple,rapid,accurate and robust,widely used,which can be applied to combination medication studies of linezolid and vancomycin and their therapeutic drug monitoring in pediatric patients.

Objective To establish a high performance liquid chromatography-tandem mass spectrometry(HPLC-MS/MS)method for simultaneous determination of meropenem,linezolid,voriconazole and posaconazole in children with small volume of plasma,and to use the method in children therapeutic drug monitoring(TDM).Methods The plasma samples were precipitated protein by methanol.And then,the analytes were gradient eluted on an EVO-C18 column by HPLC-MS/MS with mobile phase consisted of water(0.1％formic acid)-acetonitrile(0.1％formic acid)at the flow rate of 0.5 mL·min 1.Ions were monitored in the multiple reaction monitoring(MRM)mode,using positive ion electrospray ionization(ESI).Results Meropenem had a good liner relationship in 0.5-64.0 μg·mL-1(r=0.999 2),0.2-25.6 μg·mL-1 for linezolid and voriconazole(r=0.999 2,r=0.999 9),and 0.1-12.8 μg·mL-1 for posaconazole(r=0.998 9).Accuracy,precision,matrix effect and stability studies all met the requirements.This method was fully verified,and applied to determine the plasma antimicrobial concentrations of 49 pediatric patients.Conclusion The method is simple,rapid,sensitive and suitable for children's plasma concentration monitoring of four antimicrobials.

Objective To investigate the incidence rate,clinical characteristics,and prognosis of neonatal stroke in Shenzhen,China.Methods Led by Shenzhen Children's Hospital,the Shenzhen Neonatal Data Collaboration Network organized 21 institutions to collect 36 cases of neonatal stroke from January 2020 to December 2022.The incidence,clinical characteristics,treatment,and prognosis of neonatal stroke in Shenzhen were analyzed.Results The incidence rate of neonatal stroke in 21 hospitals from 2020 to 2022 was 1/15 137,1/6 060,and 1/7 704,respectively.Ischemic stroke accounted for 75％(27/36);boys accounted for 64％(23/36).Among the 36 neonates,31(86％)had disease onset within 3 days after birth,and 19(53％)had convulsion as the initial presentation.Cerebral MRI showed that 22 neonates(61％)had left cerebral infarction and 13(36％)had basal ganglia infarction.Magnetic resonance angiography was performed for 12 neonates,among whom 9(75％)had involvement of the middle cerebral artery.Electroencephalography was performed for 29 neonates,with sharp waves in 21 neonates(72％)and seizures in 10 neonates(34％).Symptomatic/supportive treatment varied across different hospitals.Neonatal Behavioral Neurological Assessment was performed for 12 neonates(33％,12/36),with a mean score of(32±4)points.The prognosis of 27 neonates was followed up to around 12 months of age,with 44％(12/27)of the neonates having a good prognosis.Conclusions Ischemic stroke is the main type of neonatal stroke,often with convulsions as the initial presentation,involvement of the middle cerebral artery,sharp waves on electroencephalography,and a relatively low neurodevelopment score.Symptomatic/supportive treatment is the main treatment method,and some neonates tend to have a poor prognosis.

Objective To investigate the risk factors for bronchopulmonary dysplasia(BPD)in twin preterm infants with a gestational age of<34 weeks,and to provide a basis for early identification of BPD in twin preterm infants in clinical practice.Methods A retrospective analysis was performed for the twin preterm infants with a gestational age of<34 weeks who were admitted to 22 hospitals nationwide from January 2018 to December 2020.According to their conditions,they were divided into group A(both twins had BPD),group B(only one twin had BPD),and group C(neither twin had BPD).The risk factors for BPD in twin preterm infants were analyzed.Further analysis was conducted on group B to investigate the postnatal risk factors for BPD within twins.Results A total of 904 pairs of twins with a gestational age of<34 weeks were included in this study.The multivariate logistic regression analysis showed that compared with group C,birth weight discordance of>25%between the twins was an independent risk factor for BPD in one of the twins(OR=3.370,95%CI:1.500-7.568,P<0.05),and high gestational age at birth was a protective factor against BPD(P<0.05).The conditional logistic regression analysis of group B showed that small-for-gestational-age(SGA)birth was an independent risk factor for BPD in individual twins(OR=5.017,95%CI:1.040-24.190,P<0.05).Conclusions The development of BPD in twin preterm infants is associated with gestational age,birth weight discordance between the twins,and SGA birth.