Effects of Bisphenol A on Male Gonadal Tissue of Viviparous Fish: Histopathological Evidence in Goodea atripinnis / Efectos del Bisfenol A en tejido Gonadal Masculino de Peces Vivíparos: Evidencia Histopatológica en Goodea atripinnis

SUMMARY: BPA is a multifunctional endocrine disruptor with ubiquitous presence in aquatic ecosystems. The Mexican Central Plateau is an area severely impacted by pollution, inhabited by endemic viviparous fish. However, efforts to understand the effects of BPA on native species such as Goodea atripinnis are non-existent. This study focused on providing in vivo evidence of alterations in the testes of G. atripinnis males due to acute exposure to BPA at test concentrations of 1 mg/L, 10 mg/L, and 50 mg/L for 96 h. BPA exposition 1 mg/L and 10 mg/L showed degeneration and disorganization in germinal tissue. Furthermore, there was a notable decrease in sperm within the seminiferous tubules of males exposed to 10 mg/L of BPA. In all treatments, somatic cells had alterations by connective tissue thickening and an increase in collagen fibers. Additionally, inflammation and bleeding occurred in the testes of males exposed to 1 and 10 mg/L BPA. The alterations in the testes of G. atripinnis are related to BPA toxicity, which can lead to apoptosis in germ cells increasing connective tissue. Finally, even though the changes produced by BPA became evident in acute exposure (96 h), its effects are probably irreversible, compromising the reproduction of G. atripinnis.

El BPA es un disruptor endocrino multifuncional con presencia ubicua en los ecosistemas acuáticos. La Meseta Central mexicana habitada por peces vivíparos endémicos, es una zona severamente impactada por la contaminación. Sin embargo, los esfuerzos por comprender los efectos del BPA en especies nativas como Goodea atripinnis son inexistentes. Este estudio se centró en proporcionar evidencia in vivo de alteraciones en los testículos de machos de G. atripinnis debido a la exposición aguda al BPA en concentraciones de prueba de 1 mg/L, 10 mg/L y 50 mg/L durante 96 h. La exposición a BPA 1 mg/L y 10 mg/L mostró degeneración y desorganización en el tejido germinal. Además, hubo una disminución notable de los espermatozoides dentro de los túbulos seminíferos de machos expuestos a 10 mg/L de BPA. En todos los tratamientos las células somáticas presentaron alteraciones por engrosamiento del tejido conectivo y aumento de las fibras de colágeno. Además, se produjo inflamación y sangrado en los testículos de machos expuestos a 1 y 10 mg/L de BPA. Las alteraciones en los testículos de G. atripinnis están relacionadas con la toxicidad del BPA, lo que puede provocar apoptosis en las células germinales aumentando el tejido conectivo. Finalmente, si bien los cambios producidos por el BPA se hicieron evidentes en la exposición aguda (96 h), sus efectos probablemente sean irreversibles, comprometiendo la reproducción de G. atripinnis.

A biomarker-based solution for the limited access to early diagnosis and assessment of autism / Una solución basada en biomarcadores para el acceso limitado al diagnóstico precoz y evaluación del autismo

Abstract With the upsurge of community uptake in popula tion-based early screening for autism, the main obstacle to increasing access to early treatment and intervention services is the extremely limited access to high quality diagnosis, specifically the shortage of expert clinicians. Diagnostic evaluation models deployed by academic cen ters of excellence, which typically require the investment of 6-10 hours by specialized multidisciplinary teams, is not a viable solution to the vast needs of communities, resulting in parents' "diagnostic odysseys" and delays, often of several years, for treatment, interventions and supports. Biomarker-based objective procedures for early diagnosis and assessment of autism are now available, clinically validated, and cleared for broad implementa tion by the US Food and Drug Administration (FDA). They are intended to increase access while maintaining high quality. Such solutions, however, will require change in entrenched models of diagnostic care, and aggressive prioritization of the needs of the community at large. If these innovations are successful, the number of children diagnosed in the first three years of life will double or triple. This will, in turn, require much greater inves tments in resources for treatment, including massive workforce training of providers capable of delivering community-viable caregiver-mediated interventions, and of early educators capable of serving autistic children in therapeutic inclusive preschool settings.

Resumen Con el aumento de la aceptación comunitaria de la detección temprana del autismo basada en la pobla ción, el principal obstáculo para aumentar el acceso al tratamiento temprano y a los servicios de intervención es el acceso extremadamente limitado a un diagnóstico de alta calidad, específicamente la escasez de médicos expertos. Los modelos de evaluación diagnóstica imple mentados por centros académicos de excelencia, que normalmente requieren la inversión de 6 a 10 horas por parte de equipos multidisciplinarios especializados, no son una solución viable para las vastas necesidades de las comunidades, lo que resulta en "odiseas diagnósti cas" y retrasos, a menudo de gran importancia, para los padres varios años, para tratamiento, intervenciones y apoyos. Los procedimientos objetivos basados en bio marcadores para el diagnóstico temprano y la evaluación del autismo ya están disponibles, clínicamente validados y aprobados para su amplia implementación por la Ad ministración de Alimentos y Medicamentos de EE. UU. (FDA). Su objetivo es aumentar el acceso manteniendo una alta calidad. Sin embargo, tales soluciones requeri rán cambios en los modelos arraigados de atención de diagnóstico y una priorización agresiva de las necesida des de la comunidad en general. Si estas innovaciones tienen éxito, el número de niños diagnosticados en los primeros tres años de vida se duplicará o triplicará. 51 Esto, a su vez, requerirá inversiones mucho mayores en recursos para el tratamiento, incluida la capacitación masiva de la fuerza laboral de proveedores capaces de brindar intervenciones comunitarias viables mediadas por cuidadores, y de educadores tempranos capaces de atender a niños autistas en entornos preescolares terapéuticos inclusivos.

Hemoglobina reticulocitaria en el diagnóstico precoz de la anemia por deficiencia de hierro / Reticulocyte hemoglobin in the early diagnosis of iron deficiency anemia / Hemoglobina de reticulócitos no diagnóstico precoce da anemia por deficiência de ferro

La anemia por deficiencia de hierro es un problema prevalente a nivel global que aparece en niños, adolescentes y mujeres en edad fértil, son los más afectados. La hemoglobina reticulocitaria es un nuevo biomarcador prometedor para el diagnóstico temprano. Objetivo. Evaluar la hemoglobina reticulocitaria para el diagnóstico precoz de anemia por deficiencia de hierro. Metodología. Se realizó una revisión sistemática en bases de datos biomédicas como PubMed, Scielo, Researchgate, Base, Cochrane Library y DOAJ; se incluyeron 24 estudios observacionales (2018-2023) sobre el uso de la hemoglobina reticulocitaria en el diagnóstico de anemia por deficiencia de hierro; se extrajeron datos sobre las características de los estudios, los valores de sensibilidad y especificidad de este biomarcador. Resultados. La hemoglobina reticulocitaria presentó una sensibilidad agrupada de 90% y una especificidad de 89,5% en los estudios analizados. También mostró una diferencia de medias significativa de -2,88 (IC 95%: -3,36 a -2,40) entre grupos con y sin anemia por deficiencia de hierro. Se encontró una heterogeneidad sustancial entre los resultados de los diferentes estudios (I2=95%; p<0,00001). Conclusión. La hemoglobina reticulocitaria demostró elevada sensibilidad y especificidad, así como una diferencia significativa entre grupos con y sin la condición, lo que evidencia su utilidad como prueba para la detección temprana de la anemia por deficiencia de hierro.

Iron deficiency anemia is a prevalent global health problem that appears in children, adolescents and women of childbearing age, who are the most affected. Reticulocyte hemoglobin is a promising new biomarker for early diagnosis. Objective. To evaluate reticulocyte hemoglobin for the early diagnosis of iron deficiency anemia. Methodology. A systematic review was conducted searching biomedical databases including PubMed, Scielo, Researchgate, Base, Cochrane Library and DOAJ; 24 observational studies (2018-2023) were included on the use of reticulocyte hemoglobin in the diagnosis of iron deficiency anemia; data were extracted on the characteristics of the studies and the sensitivity and specificity values of this biomarker. Results. Reticulocyte hemoglobin showed a pooled sensitivity of 90% and a specificity of 89.5% in the studies analyzed. It also showed a significant mean difference of -2.88 (95% CI: -3.36 to -2.40) between groups with and without iron deficiency anemia. Substantial heterogeneity was found among the results of the different studies (I2=95%; p<0.00001). Conclusion. Reticulocyte hemoglobin demonstrated high sensitivity and specificity, as well as a significant difference between groups with and without the condition, which shows its usefulness as a test for the early detection of iron deficiency anemia.

A anemia por deficiência de ferro é um problema de saúde global prevalente que aparece em crianças, adolescentes e mulheres em idade fértil, sendo os mais afetados. A hemoglobina reticulocitária é um novo biomarcador promissor para o diagnóstico precoce. Objetivo. Avaliar a hemoglobina reticulocitária para o diagnóstico precoce da anemia por deficiência de ferro. Metodologia. Foi realizada uma revisão sistemática com busca em bases de dados biomédicas incluindo PubMed, Scielo, Researchgate, Base Cochrane Library e DOAJ; foram incluídos 24 estudos observacionais (2018-2023) sobre o uso da hemoglobina reticulocitária no diagnóstico de anemia por deficiência de ferro; foram extraídos dados sobre as características dos estudos e os valores de sensibilidade e especificidade deste biomarcador. Resultados. A hemoglobina reticulocitária apresentou sensibilidade agrupada de 90% e especificidade de 89,5% nos estudos analisados. Também mostrou uma diferença média significativa de -2,88 (IC 95%: -3,36 a -2,40) entre grupos com e sem anemia por deficiência de ferro. Encontrou-se heterogeneidade substancial entre os resultados dos diferentes estudos (I2=95%; p<0,00001). Conclusão. A hemoglobina reticulocitária demonstrou elevada sensibilidade e especificidade, bem como uma diferença significativa entre grupos com e sem a condição, o que evidencia a sua utilidade como teste para a detecção precoce da anemia por deficiência de ferro.

Advances in biomarkers for diagnosing congenital heart disease / 国际儿科学杂志

Congenital heart disease（CHD）is a common congenital anomaly that is the leading cause of death among children under the age of five years with birth defects in both developed and developing countries. With the increasing prevalence of CHD，the importance of early diagnosis and intervention of CHD is well accepted. Prenatal ultrasonography is routinely applied for the screening of CHD but many factors influence its diagnostic accuracy. Biomarker testing is a simple and rapid method that can be used as an adjunct to prenatal screening for CHD. This review aims to provide new ideas for the early diagnosis of children with CHD by exploring the pathogenesis of biomarkers in CHD. In recent years，many studies have been devoted to the exploration of biomarkers related to CHD，and the studies on biomarkers in CHD are summarized from three aspects：epigenetics，proteomics and environmental factors.

Progress of biomarkers for the efficacy of allergen immunotherapy / 国际儿科学杂志

Allergen immunotherapy（AIT）is currently the etiological treatment for respiratory allergic diseases，which can change the natural course of the disease.However，due to the complexity of patients' autoimmune status，allergy triggers and their complicated relationship with AIT vaccines，there are still about 40% of allergic rhinitis and 10%-20% of asthma patients who respond nonoptimally or even don't show any response to AIT. Thus，searching biomarkers that can evaluate and predict the efficacy of AIT and optimize the AIT strategy has been a major focus and challenge in allergy field.Currently，several serologic biomarkers have been found to be associated with AIT efficacy in vitro，but their value as predictive biomarkers of AIT efficacy needs to be further verified. This article reviews the research progress of serologic candidate biomarkers for AIT efficacy.

Progress of early prediction methods for refractory Mycoplasma pneumoniae pneumonia in children / 国际儿科学杂志

Mycoplasma pneumoniae is one of the main pathogen of community-acquired pneumonia in children in China. Although most children with Mycoplasma pneumoniae pneumonia have a good prognosis，a small number of children can progress to refractory Mycoplasma pneumoniae pneumonia. Compared with general mycoplasma pneumoniae pneumonia，the clinical symptoms and lung imaging findings of refractory Mycoplasma pneumoniae pneumonia are more serious. Fever and treatment time are longer and extrapulmonary complications are more likely to occur. In order to better identify and treat refractory Mycoplasma pneumoniae pneumonia at an early stage，some scholars have carried out studies on early prediction of refractory Mycoplasma pneumoniae pneumonia by using biomarkers，imaging findings and nomogram. This paper reviews relevant studies in recent years，to provide reference for early prediction of refractory Mycoplasma pneumoniae pneumonia.

Expression and diagnostic efficacy of serum DNA polymerase α in Alzheimer's disease / 国际检验医学杂志

Objective To investigate the expression level and diagnostic value of serum DNA polymerase α(DNA pol α)in Alzheimer's disease(AD),and analyze its diagnostic efficacy in AD.Methods A total of 100 patients of dementia of Alzheimer's type(DAT)and 43 patients of mild cognitive impairment(MCI)from Xuanwu Hospital Capital Medical University from March 2019 to April 2023 were included in this study,and 68 healthy individuals of the same age group were collected as the HC group.The expression level of DNA pol α was detected in each group,and the diagnostic value of DNA pol α in AD was analyzed by receiver oper-ating characteristic(ROC)curve.Results The expression level of DNA pol α in DAT group was higher than those in the MCI group(P＜0.05)and the HC group(P＜0.001).The expression level of DNA pol α showed an increasing trend as AD progressed.The expression level of DNA pol α was negatively correlated with Mini Intelligent Mental State Examination Scale(MMSE)score and Montreal Cognitive Assessment Scale(MoCA)score(r=-0.155 3,-0.203 7,P＜0.05).The area under the curve(AUC)of DNA pol α for diagnosing DAT was 0.682,and the sensitivity was 0.900.The AUC for diagnosing MCI was 0.546,and the sensitivity was 0.977.The AUC for differential diagnosis of MCI and DAT was 0.664,the sensitivity was 0.780,and the specificity was 0.535.Conclusion The expression level of DNA pol α is significantly increased in AD patients with DAT,and its expression level is related to the progression of AD,suggesting that DNA pol α has the pos-sibility to be a potential blood biomarker for the diagnosis of AD.

Research and application of TTK and its inhibition in malignant tumors / 国际外科学杂志

Monopolar spindle 1, also known as threonine and tyrosine kinase (TTK), is a key component of spindle assembly checkpoint (SAC). It is considered to be a monitoring mechanism to ensure mitotic fidelity and genomic stability. TTK is overexpressed in a variety of malignant tumors, and patients with low expression of TTK tend to have a longer survival time, suggesting that it may be used as a biomarker for diagnosis and prognosis. Abnormal expression of TTK often impairs the function of SAC, resulting in irregular mitosis, increased aneuploidy and mitotic disaster, thus promoting the occurrence of tumors. Current studies have shown that TTK inhibitors can inhibit the proliferation of tumor cells and increase the sensitivity of tumor cells to therapy in combination with chemotherapy or radiotherapy to achieve sensitization and attenuated effects. This article will review the research and application of TTK and its inhibitors in malignant tumors.

Expression and clinical significance of hsa_circ_0005075 in serum extracellular vesicles of patients with recurrent spontaneous abortion / 临床检验杂志

Objective To investigate the expression level and clinical significance of hsa_circ_0005075 in serum extracellular vesicles(EVs)of patients with recurrent spontaneous abortion(RSA).Methods Fourteen RSA patients and 14 normal pregnant women from the Department of Obstetrics and Gynecology,Qilu Hospital of Shandong University were enrolled in a training set,and 64 RSA pa-tients and 48 normal pregnant women were enrolled in a validation set.The expression levels of hsa_circ_0005075 in serum EVs were detected by the quantitative real-time PCR(qRT-PCR),and their correlation with clinical pathological parameters of RSA patients were analyzed.Serum anti-thyroid globulin antibody(A-TG)and anti-thyroid peroxidase antibody(A-TPO)were detected by the elec-trochemiluminescence assay.Serum anticardiolipin(ACA)IgA,IgG,and IgM antibodies and anti-β2 glycoprotein 1(β2GP1)IgA,IgG,and IgM antibodies were determined by the chemiluminescence immunoassay.The correlation of these autoantibodies with the lev-els of hsa_circ_0005075 in serum EVs was analyzed by the Pearson correlation.The clinical application value of hsa_circ_0005075 in the diagnosis of RSA was evaluated by the receiver operating characteristic(ROC)curve.Results The detection results of the training set showed that the expression levels of hsa_circ_0005075 in serum EVs of RSA patients(7.69[4.74,42.15])were significantly high-er than that in normal pregnant women(1.02[0.51,4.23],U=28,P＜0.01].Similarly,in the validation set,the expression levels of hsa_circ_0005075 in RSA patients(4.96[1.73,8.89])were also significantly higher than that in normal pregnant women(1.00[0.24,2.96],U=693,P＜0.01).The ROC curve showed that hsa_circ_0005075 in serum EVs had good diagnostic value for RSA(AUCROC=0.774),with 70.3%of sensitivity and75.0%of specificity.In addition,the expression level of hsa_circ_0005075 in serum EVs was significantly correlated with A-TPO(r=0.298,P＜0.05).Conclusion The hsa_circ_0005075 in serum EVs is highly ex-pressed in RSA patients,which may have a potential differential diagnostic value for the diagnosis of RSA.

The related factors of subjective cognitive decline and its relationship with the progression of Alzheimer's disease / 临床神经病学杂志

Subjective cognitive decline(SCD)refers to self-perceived persistent decline in cognitive function,but the relevant neuropsychological tests remain within the normal range.It is a possible earliest preclinical stage that can be identified in the continuous progressive duration of Alzheimer's disease(AD).Many factors are involved in the occurrence of SCD and how to identify the AD progressive SCD to ultra-early intervention is the focus of current research.This paper aims to summarize and analyze the related concepts,clinical characteristics,related influencing factors,and their relationship with the progression of AD,which may provide a reference for subsequent related studies.

Current research status and application prospects of S1P in asthma / 实用医学杂志

Asthma is a chronic inflammatory airway disease,and airway inflammation,airway hyper-respon-siveness and airway remodeling are the major pathological alterations in asthma.Numerous studies have demon-strated sphingosine metabolism disorders exist in asthma patients,and sphingosine-1-phosphate(S1P)is the end product of sphingolipid metabolism,which has become the focus of research as an important mediator of immune and inflammatory diseases,and is closely related to the development of asthma.In this paper,we summarize the role of S1P in the pathological changes of asthma from the relationship between S1P and asthma as well as its application in the clinical diagnosis,treatment and efficacy assessment of asthma,with a view to exploring more directions in the diagnosis and treatment of asthma.

Analysis of serum differential proteomics in patients with acute cervical spondylotic radiculopathy / 中国组织工程研究

BACKGROUND:The specific molecular mechanism of the transformation from normal healthy people to acute cervical spondylotic radiculopathy has not been clear,which needs to be further studied. OBJECTIVE:To investigate the differential expression of serum proteomics between normal healthy people and patients with acute cervical spondylotic radiculopathy,and to find and identify potential specific serum markers between them. METHODS:The serum samples of eight patients with acute cervical spondylotic radiculopathy and eight normal healthy people were collected,and the proteomic screening and analysis were performed by tandem mass tag combined with liquid chromatography-tandem mass spectrometry technology,in order to explore and identify serum proteins differentially expressed in patients with acute cervical spondylotic radiculopathy. RESULTS AND CONCLUSION:A total of 183 significantly differential proteins were screened by tandem mass tag technology,and 11 significantly differential proteins were identified(P＜0.05).Compared with normal healthy people,three differential proteins were significantly up-regulated,including human leukocyte antigen-A,secretoglobin family 1a member 1,and protein 4-hydroxyphenylpyruvate dioxygenase,and seven differential proteins were significantly down-regulated,such as immunoglobulin heavy constant gamma 3,skin factor,and myosin light chain 3,in patients with acute cervical spondylotic radiculopathy.Gene ontology enrichment analysis showed that these differential proteins participated in antigen binding,immunoglobulin receptor binding and other molecular functions.Protein-protein interaction analysis showed that among the common differential proteins between normal healthy people and patients with acute cervical spondylotic radiculopathy,HLA-A,HPD,PSMA3,DMKN,SCGB1A1,and MYL3 were located at the nodes of the functional network,and were closely related to the systems of body immunity,cellular inflammatory response,energy metabolism,and mechanical pressure.The significantly differential proteins HLA-A,HPD and MYL3 were verified by western blot,and the results were consistent with those of proteomics.To conclude,tandem mass tag combined with liquid chromatography-tandem mass spectrometry technology can be used to find the differentially expressed proteins in serum between normal healthy people and patients with acute cervical spondylotic radiculopathy.It is preliminarily believed that HLA-A,HPD and MYL3 may be specific serum markers of acute cervical spondylotic radiculopathy,providing a new direction for further research on its pathogenesis.

Experimental validation of machine learning identification of KDELR3 as a signature gene for osteoarthritis hypoxia / 中国组织工程研究

BACKGROUND:Hypoxia is strongly associated with the development and progression of osteoarthritic chondrocyte injury,but the specific targets and regulatory mechanisms are unclear. OBJECTIVE:A machine learning approach was used to identify KDEL(Lys-Asp-Glu-Leu)receptor 3(KDELR3)as a characteristic gene for osteoarthritis hypoxia and immune infiltration analysis,to provide new ideas and methods for the treatment of osteoarthritis. METHODS:The osteoarthritis-related datasets were downloaded from the GEO database and the GSEA website to obtain hypoxia-related genes.The osteoarthritis datasets were batch-corrected and immune infiltration analyzed using R language,and osteoarthritis hypoxia genes were extracted for differential analysis.Differentially expressed genes were analyzed for GO function and KEGG signaling pathway.Weighted correlation network analysis(WGCNA)and machine learning were also used to screen osteoarthritis hypoxia signature genes,and in vitro cellular experiments were performed to validate expression and correlate immune infiltration analysis using the datasets and qPCR. RESULTS AND CONCLUSION:(1)8492 osteoarthritis genes were obtained by batch correction and principal component analysis,mainly strongly associated with immune cells such as Macrophages M2 and Mast cells resting;200 hypoxia genes were also obtained,resulting in 41 osteoarthritis hypoxia differentially expressed genes.(2)GO analysis involved mainly biological processes such as response to nutrient levels and glucocorticoids;cellular components such as lysosomal lumen and Golgi lumen;and molecular functions such as 14-3-3 protein binding and DNA-binding transcriptional activator activity.(3)KEGG analysis of osteoarthritis hypoxia differentially expressed genes was associated with signaling pathways such as PI3K-Akt,FoxO,and microRNAs in cancer.(4)The characteristic gene KDELR3 was obtained after using WGCNA analysis and machine learning screening.(5)The gene expression of KDELR3 was found to be higher in the test group than in the control group in the synovium(P=0.014)but lower in the meniscus(P=0.024)after validation by gene microarray.(6)In vitro chondrocyte assay showed that the expression of KDELR3 was higher in cartilage than in the control group(P=0.005),while KDELR3 was closely associated with Macrophages M0(P=0.014)and T cells follicular helper(P=0.014).Using a machine learning approach,we confirmed that KDELR3 can be used as a hypoxic signature gene for osteoarthritis and may intervene in osteoarthritis pathogenesis by improving hypoxia,expecting to provide a new direction for better treatment of osteoarthritis.

Bioinformatics identification of CA9 as a signature gene for cartilage-associated ferroptosis in steroid-induced osteonecrosis of the femoral head / 中国组织工程研究

BACKGROUND:Disturbances in bone metabolism have a significant association with ferroptosis in steroid-induced osteonecrosis of the femoral head(SONFH).Furthermore,the pathologic process of SONFH is characterized by the presence of cartilage damage and degeneration.However,the specific regulatory targets and the relationship between ferroptosis and cartilage concerning SONFH remain unclear. OBJECTIVE:To employ bioinformatics and machine learning techniques to identify specific genes associated with ferroptosis that target cartilage and to investigate the correlation between ferroptosis and cartilage,thereby providing novel ideas and methodologies for the study and treatment of SONFH. METHODS:Disease datasets pertinent to the study and ferroptosis-related genes were retrieved from the GEO and FerrDb databases.Subsequently,the disease datasets were normalized and differential analysis using the R language to identify ferroptosis-related differential genes(Fe-DEGs).We conducted Gene Ontology(GO)functional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes(KEGG)signaling pathway enrichment analysis of Fe-DEGs.Furthermore,ferroptosis-related signature genes were filtered based on the protein-protein interaction network of Fe-DEGs and machine learning methods.Finally,the rabbits were divided into normal and model groups.The normal group was given the same dose of saline to simulate the modeling drug,and the animal model of SONFH in rabbits was constructed by injection of modified horse serum combined with methylprednisolone.After successful modeling,the expression of signature gene was verified between different groups,and the phenotype of ferroptosis in cartilage was analyzed. RESULTS AND CONCLUSION:Through the normalization and differential analysis of the dataset,a total of 1 315 differentially expressed genes were identified.Additionally,379 ferroptosis-related genes were obtained from the FerrDb database.After intersecting both gene sets,19 Fe-DEGs were obtained.The GO analysis revealed that Fe-DEGs were mainly involved in biological processes such as cell migration and cellular response to oxidative stress,cellular components such as kinase complexes,amino acid complexes,and cytoplasmic membranes,as well as molecular functions such as kinase activity,receptor activity,and protein binding.The KEGG analysis revealed that Fe-DEGs were mainly enriched in the FoxO signaling pathway,vascular endothelial growth factor signaling pathway,and FcγR-mediated phagocytosis.Constructing a protein-protein interaction network and using machine learning,we identified the ferroptosis-related signature gene,CA9.The gene set enrichment analysis of the signature gene CA9 revealed an upregulated expression in biological processes such as fatty acid metabolism and O-GlcNAc glycosylation modification,while being inhibited in terms of neural activity and ligand-receptor interactions.RT-PCR and western blot results showed that compared with the normal group,the expressions of ACSL4 and CA9 at mRNA and protein levels were significantly higher in the model group(P<0.05),while the expressions of SLC7A11 and GPX4 at mRNA and protein levels were significantly lower in the model group(P<0.05),coinciding with the expression levels of the signature genes in the dataset.These findings indicate that the cartilage of SONFH is closely related to ferroptosis,and targeting the signature gene may provide certain ideas and directions for the study and treatment of SONFH.

Identification of biomarkers associated with ferroptosis and pyroptosis for the potential diagnosis of postmenopausal osteoporosis / 中国组织工程研究

BACKGROUND:Ferroptosis and pyroptosis may play a role in the development of postmenopausal osteoporosis.There may be relevant biomarkers for the diagnosis of postmenopausal osteoporosis. OBJECTIVE:To search for the key genes related to ferroptosis and pyroptosis in postmenopausal osteoporosis using bioinformatics so as to further elucidate their biological mechanisms. METHODS:The data sets GSE56815 and GSE7429 of postmenopausal osteoporosis were downloaded from the GEO database,the national comprehensive gene expression database of the United States,and the two data sets were preprocessed.The differential expression analysis of the data was carried out by the limma package of R software,and the enrichment analysis was performed by DIVID and KOBAS.The protein-protein interaction network was mapped by STRING and Cytoscape,the Hub gene was selected by CytoHubba,and the key genes were screened by the ferroptosis database and pyroptosis database.The CIBERSORT package was used to determine the immune infiltration of postmenopausal osteoporosis samples and to analyze the correlation between key genes and immune cells RESULTS AND CONCLUSION:A total of 30 differential genes of postmenopausal osteoporosis were screened in the experimental samples,of which 9 genes were up-regulated and 21 genes were down-regulated.The enrichment of GO and KEGG pathways showed that the differences were mainly in"serine-type endopeptidase activity,""innate immune response,""special particle lumen,"and"renin secretion."The protein-protein interaction network showed the correlation of differential genes and the top 10 Hub genes with"Degree"value were selected using CytoHubba.Hub gene was intersected with the FerrDb database and cell pyroptosis dataset to obtain key genes ELANE and LCN2.Receiver operating characteristic curve and box diagram showed that the expression of ELANE and LCN2 in serum samples of postmenopausal osteoporosis was significantly lower than that in normal samples,indicating a good diagnostic value.Immune infiltration analysis showed that ELANE may be related to memory resting CD4+ T cells,M0 and M2 macrophages.LCN2 may be related to M0 macrophages.

Metabolomics analysis of serum and urine in patients with traumatic spinal cord injury / 中国组织工程研究

BACKGROUND:Traumatic spinal cord injury primarily relies on scale assessment and imaging examinations in clinical practice.However,there are limitations in predicting the prognosis of the injury.Therefore,the use of metabolomics technology for biomarker screening is significant for estimating the extent of damage,injury and recovery,as well as developing new therapies. OBJECTIVE:To characterize the metabolic features of patients with traumatic spinal cord injury using metabolomics technology and explore potential biomarkers and disrupted metabolic pathways. METHODS:Serum and urine samples were collected from 20 patients with traumatic spinal cord injury(observation group)and 10 healthy subjects(control group).Metabolites were analyzed and multivariate statistical analysis was then performed for data processing to screen differential metabolites.Metabolic pathway enrichment was performed using MetaboAnalyst software.Logistic regression was applied to construct a biomarker combination model,and its relationship with the American Spinal Injury Association grading was analyzed. RESULTS AND CONCLUSION:Significant differences in 160 and 73 metabolites were detected in the serum and urine samples of the two groups,respectively.Pathway enrichment analysis showed evident disturbances in lipid metabolism after traumatic spinal cord injury,including sphingolipid,arachidonic acid,α-linolenic acid,and arachidonic acid metabolism,as well as glycerophospholipid and inositol phosphate biosynthesis.The combination of two identified biomarkers,telmisartan and quercetin glycoside,showed a correlation with the American Spinal Injury Association grading in both serum and urine levels.Thus,metabolomics technology provides assistance in further understanding the pathological mechanisms of traumatic spinal cord injury and screening therapeutic targets.The identified metabolic biomarker combination may serve as a reference for assessing the severity of traumatic spinal cord injury.

Bioinformatics identification and validation of genes related to fatty acid metabolism in rheumatoid arthritis / 中国组织工程研究

BACKGROUND:Research has shown that fatty acid metabolism genes are closely related to the development of rheumatoid arthritis.Therefore,exploring the progression of rheumatoid arthritis based on fatty acid metabolism genes is of clinical significance. OBJECTIVE:To investigate whether fatty acid metabolism genes can serve as reliable biomarkers for predicting the progression of rheumatoid arthritis. METHODS:Gene data related to synovial tissue were downloaded from the Gene Expression Comprehensive Database(GEO).STRING was used to construct the protein-protein interaction network analysis.Cytoscape was utilized for biological annotation(gene ontology)and signaling pathway enrichment analysis(Kyoto Encyclopedia of Genes and Genomes).Fatty acid metabolism related genes were screened from the molecular feature database(MSigDB).Least absolute shrinkage and selection operator and support vector machine recursive feature elimination feature were used to screen for potential biomarkers.Immune cell infiltration levels in normal individuals and rheumatoid arthritis patients were assessed using the CIBERSORT algorithm.Finally,the expression levels of fatty acid metabolism related genes were verified using the receiver operating characteristic curve in GSE77298. RESULTS AND CONCLUSION:361 differentially expressed genes in rheumatoid arthritis were identified,of which 13 overlapped with the reported fatty acid metabolism related genes.Based on machine learning algorithms,five genes were selected,and the receiver operating characteristic curve showed that five genes(PCK1,PDK1,PTGS2,PLA2G2D,and DPEP2)could predict the development of rheumatoid arthritis.The CIBERSORT algorithm results showed that five genes were associated with activated mast cells,neutrophils,resting mast cells,and memory resting CD4+ T cells.The receiver operating characteristic curve showed that PLA2G2D and PCK1 have high diagnostic value.To conclude,the expression characteristics of fatty acid metabolism related genes can serve as potential biomarkers for predicting clinical outcomes,which can further improve the accuracy of prediction in RA patients.

Prospects for the application of blood-based biomarkers in Alzheimer′s disease / 中华检验医学杂志

The early diagnosis of Alzheimer′s disease (AD) has long been a challenge in the field of medicine. In recent years, research on blood biomarkers of AD has flourished, which holds significant promise for advancing the early diagnosis, monitoring, and early intervention of AD. With the new generation of ultra-sensitive detection techniques, a series of studies have successfully validated core biomarkers, non-specific biomarkers, and other relevant biomarkers of AD in blood. However, the use of blood-based biomarkers for the diagnosis and prediction of AD still faces some challenges related to accuracy and robustness. This article compiles and analyzes the advances, strengths, and limitations of each type of biomarkers, and provides several potential strategies to address these challenges.

Clinical application of exosomes in common neurodegenerative diseases / 中华检验医学杂志

Exosomes are nanoscale extracellular vesicle structures that communicate and exchange information between cells. They carry a variety of biologically active molecules whose compositions and contents vary according to the origin and recipient cells. Therefore, exosomes can be used as biomarkers. Neurodegenerative diseases are diseases with hidden onset, so early screening and accurate diagnosis is undoubtedly a reliable guarantee to reduce their mortality and increase the cure rate. Exosomes, as a research hotspot in recent years, have great potential for the diagnosis and treatment of diseases given their transport capacity and contents, and have significant advantages in abundance, stability, diversity and accessibility. The purpose of this paper is to discuss exosomes as potential candidates for early diagnosis of neurodegenerative diseases, and thus to elaborate new fields of their application, with a view to providing a richer perspective for clinical prediction and treatment.

Preliminary analysis of serum metabolomics in patients with optic neuritis based on liquid chromatography-mass spectrometry / 中华检验医学杂志

Objective:To investigate the serum metabolites and their metabolic characteristics of patients with optic neuritis.Methods:Case-control study. From January 2021 to January 2022, 9 serum specimens of diagnosed patients with optic neuritis were collected in Department of Neurology from Beijing Tongren Hospital and 9 healthy subjects as the control. Among them, there were 5 females and 4 males in the optic neuritis group, aged (35.8±12.9) years; there were 5 females and 4 males in the healthy control group, aged (32.6±8.6) years. Liquid chromatography-mass spectrometry was used to detect metabolites in serum of healthy control and patients with optic neuritis. The principal component analysis (PCA) and orthogonal partial least-squares discriminination analysis (OPLS-DA) were used to analyze the differential metabolites . The variable importance projection value of OPLS-DA model and the P value of t-test was applied to find the different metabolites. Results:Thirty-seven metabolites were finally identified from serum samples. Four metabolites with variable important in projection (VIP) values larger than 1 and P values less than 0.05 were teased out, three metabolites, LysoPC (P-16∶0), LysoPC (16∶0), LysoPC (P-18∶0) belonge to phospholipid and one metabolite was L-Threonine, they were all down-regulated. The area under curve were 0.951, 0.889, 0.963 and 0.944, respectively. Conclusion:Based on metabonomic analysis, some metabolites in serum have changed, which can provide basis for biomarkers screening of optic neuritis.