Objective To investigate the effect and mechanism of Efferocytosis Relatived LncRNA (EFRL) on homocysteine-induced atherosclerosis in macrophage efferocytosis. Methods RAW264.7 cells were cultured in vitro, and the Control group (0 μmol/L Hcy) and Hcy intervention group (100 μmol/L Hcy) were set up. After GapmeR transfection of macrophages with Hcy intervention, EFRL knockdown negative control group (Hcy combined with LNA-NC) and EFRL knockdown group (Hcy combined with LNA-EFRL) were set up. High-throughput sequencing was applied for different expression of LncRNA MSTRG. 88917.16 (EFRL), UCSC was used to analyze its conservation, CPC and CPAT were used to analyze its ability to encode proteins, and GO and KEGG were used to analyze related biological functions. The localization of LncRNA EFRL in macrophages was analyzed by nucleoplasmic separation and RNA-FISH. Quantitative real-time PCR was used to detect the expression levels of LncRNA EFRL and its target gene SPAST in Hcy-treated macrophages. The apoptosis rate of Jurkat cells induced by UV was detected by flow cytometry. In vitro efferocytosis assay combined with immunofluorescence technique was used to analyze macrophage efferocytosis. ELISA was used to detect the levels of interleukin 1β(IL-1β) and IL-18. Results The new LncRNA MSTRG.88917.16 was identified and named EFRL(Efferocytosis Relatived LncRNA). UCSC, CPC and CPAT analyses showed that LncEFRL is highly conserved and does not have the ability to encode proteins. GO and KEGG analyses suggested that LncEFRL may be involved in macrophage efferocytosis. LncRNA EFRL was localized in the nucleus of macrophages as determined by nucleoplasmic separation and RNA-FISH. In comparison to the Control group, the expression levels of LncRNA EFRL and its target gene SPAST in the Hcy group were increased. In comparison to the Control group (0 min), the apoptosis rate of the experimental group (15, 30 min) Annexin V is more than 85%. Compared with Hcy combined with LNA-NC group, Hcy combined with LNA-EFRL group had enhanced macrophage efferocytosis and reduced levels of inflammatory factors. Compared with Hcy combined with LNA-NC group, the expression level of SPAST in Hcy combined with LNA-EFRL group was decreased. Conclusion Inhibition of EFRL expression can alleviate the process of Hcy inhibiting macrophage efferocytosis, and the mechanism is related to the regulation of the downstream target gene SPAST by EFRL.
RNA, Long Noncoding/physiology* ; Animals ; Homocysteine ; Mice ; Macrophages/drug effects* ; Humans ; RAW 264.7 Cells ; Atherosclerosis/chemically induced* ; Apoptosis/genetics* ; Phagocytosis/genetics* ; Jurkat Cells ; Interleukin-1beta/genetics* ; Efferocytosis

Nonunion of osteoporotic vertebral fractures (OVF), predominantly affecting the elderly, can lead to intractable pain, vertebral collapse, progressive kyphotic deformity, and neurological impairment, significantly compromising patients′ quality of life. There exists considerable debate on diagnosis and management of OVF, encompassing key issues such as clinical diagnosis and staging criteria for nonunion, surgical indications and procedure selection, and postoperative rehabilitation planning. Currently, there lacks standardized clinical guideline and expert consensus on the diagnosis and management of OVF nonunion in China. To address this gap, Minimally Invasive Surgery Group of Chinese Orthopedic Association, Osteoporosis Committee of Chinese Association of Orthopedic Surgeons, Prevention and Rehabilitation Committee for Osteoporosis of Chinese Association of Rehabilitation Medicine and Minimally Invasive Orthopedic Surgery Branch of China Association for Geriatric Care jointly organized domestic experts in spinal surgery, endocrinology, and rehabilitation to formulate the Clinical guideline for the diagnosis and treatment for nonunion of osteoporotic vertebral fractures ( version 2025), based on existing literature and clinical experience and adhering to principles of scientific rigor and practicality. The guideline provided 13 evidence-based recommendations encompassing diagnosis and treatment of OVF nonunion, aiming to standardize its clinical management.

OBJECTIVE To explore the differences in the clinical laboratory test indexes between the patients with two different TCM syndrome types of eczema(dampness-heat infiltration type and non-dampness-heat infiltration type)and observe the distribution and drug resistance rate of pathogens isolated from the skin lesions so as to pro-vide bases for syndrome differentiation and reasonable use of antibiotics.METHODS A total of 180 patients with eczema who were positive for bacterial culture of skin secretions and were treated in Beijing Hospital of Traditional Chinese Medicine from Jan.2021 to Dec.2023 were enrolled in the study and were divided into the dampness-heat infiltration group with 134 cases and the non-dampness-heat infiltration group with 46 cases.The data of clini-cal laboratory test indexes were collected from the two groups of patients,the secretion specimens were sampled from the skin lesion sites,the isolated pathogens were identified by VITEK 2 Compact automatic microorganism analysis system,and the drug susceptibility testing was performed.RESULTS The direct bilirubin level of the dampness-heat infiltration group was(3.99±1.62)umol/L,higher than(3.46±1.12)umol/L of the non-damp-ness-heat infiltration group(P＜0.05),but both were in the normal range;there were no significant differences in other test indexes between the two groups.Totally 180 strains of pathogens were isolated from the 180 patients with eczema,156(86.67％)of which were gram-positive bacteria;Staphylococcus aureus(98 strains),Staphy-lococcus epidermidis(29 strains)and Staphylococcus haemolyticus(15 strains)were the predominant species of the gram-positive bacteria.The gram-negative bacteria accounted for 12.22％(22 strains).The drug resistance rate of the S.aureus strains to penicillin was up to 82.65％,and the isolation rate of methicillin-resistant Staphy-lococcus aureus(MRSA)was 12.24％(12/98);the drug resistance rates of the S.epidermidis strains to penicil-lin and erythromycin were 75.86％,and the drug resistance rate of the S.haemolyticus strains to erythromycin was 100.00％.CONCLUSIONS The gram-positive bacteria(dominated by the S.aureus)are dominant among the pathogens isolated from the skin lesion specimens of the eczema patients and are highly resistant to penicillin and erythromycin.The isolation rate of MRSA is relatuvely low.There is limited clinical significant difference in the direct bilirubin between the two groups.It is necessary to further explore more reliable indexes for syndrome dif-ferentiation.

Organoids,as a three-dimensional structural model that has been rapidly developed and widely concerned in recent years,enable the key functions and microenvironment of internal organs to be simulated in the real world,and closely reflect the physiological and pathological characteristics of the natural occurrence and metastasis of tumors,providing a new platform for disease modeling,drug research and precision medicine.This paper briefly summarizes the limitations and development prospects of organoid models,analyzes the current construction and development of organoid models of lung cancer and its applicability compared with traditional models under the holistic concept of traditional Chinese medicine and the basic theory of syndrome differentiation and treatment,and discusses the application of organoid technology in the basic research of lung cancer treatment.The advantages in screening anti-tumor Chinese medicine and drug resistance research and precision medicine provide new ideas for realizing innovative breakthroughs in traditional Chinese medicine research combined with modern science and technology.

BACKGROUND:Previous studies found that the proliferative scar-specific long non-coding RNA lncRNA HSFAS is a novel biomarker that can be used in the diagnosis of hypertrophic scar,but how it functions in hypertrophic scar is not clear. OBJECTIVE:To investigate the role and mechanism of lncRNA HSFAS in hypertrophic scar.METHODS:Fresh scar tissue and surrounding normal skin tissue samples from three patients with hypertrophic scar were collected,and tissue immunofluorescence was used to detect the expression of lncRNA HSFAS in frozen sections of two skin tissues. Primary fibroblasts were isolated from proliferative scarred skin tissue and normal skin tissue and cultured by enzyme digestion method. Quantitative real-time PCR was used to detect the mRNA expression of lncRNA HSFAS in cells. The proteins bound to lncRNA HSFAS were detected by RNA pull-down combined mass spectrometry. GO and KEGG were used to analyze the main functions and pathways of lncRNA HSFAS involved in hypertrophic scar progression. The targeted binding of lncRNA HSFAS to proteins was determined by catRAPID and RPISeq website analysis. RESULTS AND CONCLUSION:Compared with normal skin tissue and fibroblasts from normal skin tissue,the expression of lncRNA HSFAS in human hypertrophic scar tissue and primary fibroblasts from hypertrophic scar tissue was significantly increased (P<0.05). There were 510 proteins clearly bound to lncRNA HSFAS by RNA pull-down combined mass spectrometry. The results of GO and KEGG analyses showed that these proteins were mainly involved in RNA splicing and processing,chromosome synthesis and separation,and cell cycle. Among them,the proteins involved in RNA splicing and processing included scaffold attachment factor B2 and DICER1,and the binding fraction with lncRNA HSFAS was higher. The results of bioinformatics analysis showed that lncRNA HSFAS was bound to scaffold attachment factor B2 and DICER1 proteins. To conclude,lncRNA HSFAS may affect gene expression by interacting with scaffold attachment factor B2 and DICER1 proteins to regulate RNA splicing and processing modification,thus promoting the occurrence and development of hypertrophic scar.

Organoids,as a three-dimensional structural model that has been rapidly developed and widely concerned in recent years,enable the key functions and microenvironment of internal organs to be simulated in the real world,and closely reflect the physiological and pathological characteristics of the natural occurrence and metastasis of tumors,providing a new platform for disease modeling,drug research and precision medicine.This paper briefly summarizes the limitations and development prospects of organoid models,analyzes the current construction and development of organoid models of lung cancer and its applicability compared with traditional models under the holistic concept of traditional Chinese medicine and the basic theory of syndrome differentiation and treatment,and discusses the application of organoid technology in the basic research of lung cancer treatment.The advantages in screening anti-tumor Chinese medicine and drug resistance research and precision medicine provide new ideas for realizing innovative breakthroughs in traditional Chinese medicine research combined with modern science and technology.

Objective:To investigate the prognostic value of deep learning-based automated quantification of tumor-stroma ratio (TSR) in patients undergoing neoadjuvant therapy (NAT) for breast cancer.Methods:Specimens were collected from 209 breast cancer patients who received NAT at Renmin Hospital of Wuhan University from October 2019 to June 2023. TSR levels in pre-NAT biopsy specimens were automatically computed using a deep learning algorithm and categorized into low stroma (TSR≤30%), intermediate stroma (TSR 30% to ≤60%), and high stroma (TSR>60%) groups. Residual cancer burden (RCB) grading of post-NAT surgical specimens was determined to compare the relationship between TSR expression levels and RCB grades. The correlation of TSR with NAT efficacy was analyzed, and the association between TSR expression and patient prognosis was further investigated.Results:There were 85 cases with low stroma (TSR≤30%), 93 cases with intermediate stroma (TSR 30% to ≤60%), and 31 cases with high stroma (TSR>60%). Different TSR expression levels showed significant differences between various RCB grades ( P<0.05). Logistic univariate and multivariate analyses showed that TSR was a risk factor for obtaining a complete pathological remission from neoadjuvant therapy for breast cancer when it was used as a continuous variable ( P<0.05); COX regression and survival analyses showed that the lower the percentage of tumorigenic mesenchyme was, the better the prognosis of the patient was ( P<0.05). Conclusions:The deep learning-based model enables automatic and accurate quantification of TSR. A lower pre-treatment tumoral stroma is associated with a lower RCB score and a higher rate of pathologic complete response, indicating that TSR can predict the efficacy of neoadjuvant therapy in breast cancer and thus holds prognostic significance. Therefore, TSR may serve as a biomarker for predicting therapeutic outcomes in breast cancer neoadjuvant therapy.

OBJECTIVE To explore the differences in the clinical laboratory test indexes between the patients with two different TCM syndrome types of eczema(dampness-heat infiltration type and non-dampness-heat infiltration type)and observe the distribution and drug resistance rate of pathogens isolated from the skin lesions so as to pro-vide bases for syndrome differentiation and reasonable use of antibiotics.METHODS A total of 180 patients with eczema who were positive for bacterial culture of skin secretions and were treated in Beijing Hospital of Traditional Chinese Medicine from Jan.2021 to Dec.2023 were enrolled in the study and were divided into the dampness-heat infiltration group with 134 cases and the non-dampness-heat infiltration group with 46 cases.The data of clini-cal laboratory test indexes were collected from the two groups of patients,the secretion specimens were sampled from the skin lesion sites,the isolated pathogens were identified by VITEK 2 Compact automatic microorganism analysis system,and the drug susceptibility testing was performed.RESULTS The direct bilirubin level of the dampness-heat infiltration group was(3.99±1.62)umol/L,higher than(3.46±1.12)umol/L of the non-damp-ness-heat infiltration group(P＜0.05),but both were in the normal range;there were no significant differences in other test indexes between the two groups.Totally 180 strains of pathogens were isolated from the 180 patients with eczema,156(86.67％)of which were gram-positive bacteria;Staphylococcus aureus(98 strains),Staphy-lococcus epidermidis(29 strains)and Staphylococcus haemolyticus(15 strains)were the predominant species of the gram-positive bacteria.The gram-negative bacteria accounted for 12.22％(22 strains).The drug resistance rate of the S.aureus strains to penicillin was up to 82.65％,and the isolation rate of methicillin-resistant Staphy-lococcus aureus(MRSA)was 12.24％(12/98);the drug resistance rates of the S.epidermidis strains to penicil-lin and erythromycin were 75.86％,and the drug resistance rate of the S.haemolyticus strains to erythromycin was 100.00％.CONCLUSIONS The gram-positive bacteria(dominated by the S.aureus)are dominant among the pathogens isolated from the skin lesion specimens of the eczema patients and are highly resistant to penicillin and erythromycin.The isolation rate of MRSA is relatuvely low.There is limited clinical significant difference in the direct bilirubin between the two groups.It is necessary to further explore more reliable indexes for syndrome dif-ferentiation.

Objective:To investigate the prognostic value of deep learning-based automated quantification of tumor-stroma ratio (TSR) in patients undergoing neoadjuvant therapy (NAT) for breast cancer.Methods:Specimens were collected from 209 breast cancer patients who received NAT at Renmin Hospital of Wuhan University from October 2019 to June 2023. TSR levels in pre-NAT biopsy specimens were automatically computed using a deep learning algorithm and categorized into low stroma (TSR≤30%), intermediate stroma (TSR 30% to ≤60%), and high stroma (TSR>60%) groups. Residual cancer burden (RCB) grading of post-NAT surgical specimens was determined to compare the relationship between TSR expression levels and RCB grades. The correlation of TSR with NAT efficacy was analyzed, and the association between TSR expression and patient prognosis was further investigated.Results:There were 85 cases with low stroma (TSR≤30%), 93 cases with intermediate stroma (TSR 30% to ≤60%), and 31 cases with high stroma (TSR>60%). Different TSR expression levels showed significant differences between various RCB grades ( P<0.05). Logistic univariate and multivariate analyses showed that TSR was a risk factor for obtaining a complete pathological remission from neoadjuvant therapy for breast cancer when it was used as a continuous variable ( P<0.05); COX regression and survival analyses showed that the lower the percentage of tumorigenic mesenchyme was, the better the prognosis of the patient was ( P<0.05). Conclusions:The deep learning-based model enables automatic and accurate quantification of TSR. A lower pre-treatment tumoral stroma is associated with a lower RCB score and a higher rate of pathologic complete response, indicating that TSR can predict the efficacy of neoadjuvant therapy in breast cancer and thus holds prognostic significance. Therefore, TSR may serve as a biomarker for predicting therapeutic outcomes in breast cancer neoadjuvant therapy.

BACKGROUND:Previous studies found that the proliferative scar-specific long non-coding RNA lncRNA HSFAS is a novel biomarker that can be used in the diagnosis of hypertrophic scar,but how it functions in hypertrophic scar is not clear. OBJECTIVE:To investigate the role and mechanism of lncRNA HSFAS in hypertrophic scar.METHODS:Fresh scar tissue and surrounding normal skin tissue samples from three patients with hypertrophic scar were collected,and tissue immunofluorescence was used to detect the expression of lncRNA HSFAS in frozen sections of two skin tissues. Primary fibroblasts were isolated from proliferative scarred skin tissue and normal skin tissue and cultured by enzyme digestion method. Quantitative real-time PCR was used to detect the mRNA expression of lncRNA HSFAS in cells. The proteins bound to lncRNA HSFAS were detected by RNA pull-down combined mass spectrometry. GO and KEGG were used to analyze the main functions and pathways of lncRNA HSFAS involved in hypertrophic scar progression. The targeted binding of lncRNA HSFAS to proteins was determined by catRAPID and RPISeq website analysis. RESULTS AND CONCLUSION:Compared with normal skin tissue and fibroblasts from normal skin tissue,the expression of lncRNA HSFAS in human hypertrophic scar tissue and primary fibroblasts from hypertrophic scar tissue was significantly increased (P<0.05). There were 510 proteins clearly bound to lncRNA HSFAS by RNA pull-down combined mass spectrometry. The results of GO and KEGG analyses showed that these proteins were mainly involved in RNA splicing and processing,chromosome synthesis and separation,and cell cycle. Among them,the proteins involved in RNA splicing and processing included scaffold attachment factor B2 and DICER1,and the binding fraction with lncRNA HSFAS was higher. The results of bioinformatics analysis showed that lncRNA HSFAS was bound to scaffold attachment factor B2 and DICER1 proteins. To conclude,lncRNA HSFAS may affect gene expression by interacting with scaffold attachment factor B2 and DICER1 proteins to regulate RNA splicing and processing modification,thus promoting the occurrence and development of hypertrophic scar.