Objective: To explore the association of vegetables and fruits intake with depressive symptoms among multi ethnic first year junior high school students in Yunnan Province, so as to provide data support for preventing and reducing depressive symptoms among first year junior high school students. Methods: From October to December 2022, a cluster random sampling method was used to select 8 500 first year junior high school students from 11 ethnic minority areas in Yunnan Province (Fugong County, Longling County, Longyang District, Luchun County, Mojiang County, Nanjian County, Qiaojia County, Shuangjiang County, Tengchong City, Yuanmou County, Zhenyuan County), to investigate with a questionnaire. The Dietary Frequency Questionnaire was used to collect dietary behavior datas, and the Chinese version of Depression Anxiety Stress Scale-21 (DASS-21) was used to assess depressive symptoms. The generalized linear model was used to analyze the association of vegetable and fruit intake with depressive symptoms in students, and stratified analysis was performed according to ethnicity. Results: The detection rate of depressive symptoms among first year junior high school students in Yunnan Province was 29.5%. The detection rates of depressive symptoms in Han and minority first year junior high school students were 26.9% and 31.6%. After controlling for demographic variables such as gender, age, family residence and other confounding factors, the generalized linear model analysis results showed that the intake of leafy vegetables ( β= -0.07 , 95%CI =-0.12 to -0.01), flat fruits ( β=-0.06, 95%CI =-0.12 to -0.00) and hot natured fruits ( β=0.11, 95%CI = 0.04- 0.17) were associated with depressive symptoms in Han first year junior high school students (all P <0.05). The intake of melon and fruit vegetables ( β=-0.06, 95%CI =-0.11 to -0.01) and hot natured fruits ( β=0.06, 95%CI =0.01-0.12) were associated with depressive symptoms in ethnic minority first year junior high school students (both P <0.05). Conclusions The intake of vegetables and fruits among multi ethnic first year junior high school students in Yunnan Province is related to the risk of depressive symptoms. It is suggested to strengthen the consumption guidance and education of vegetables and fruits to prevent depressive symptoms among first year junior high school students.

Drug repurposing offers a promising alternative to traditional drug development and significantly reduces costs and timelines by identifying new therapeutic uses for existing drugs. However, the current approaches often rely on limited data sources and simplistic hypotheses, which restrict their ability to capture the multi-faceted nature of biological systems. This study introduces adaptive multi-view learning (AMVL), a novel methodology that integrates chemical-induced transcriptional profiles (CTPs), knowledge graph (KG) embeddings, and large language model (LLM) representations, to enhance drug repurposing predictions. AMVL incorporates an innovative similarity matrix expansion strategy and leverages multi-view learning (MVL), matrix factorization, and ensemble optimization techniques to integrate heterogeneous multi-source data. Comprehensive evaluations on benchmark datasets (Fdataset, Cdataset, and Ydataset) and the large-scale iDrug dataset demonstrate that AMVL outperforms state-of-the-art (SOTA) methods, achieving superior accuracy in predicting drug-disease associations across multiple metrics. Literature-based validation further confirmed the model's predictive capabilities, with seven out of the top ten predictions corroborated by post-2011 evidence. To promote transparency and reproducibility, all data and codes used in this study were open-sourced, providing resources for processing CTPs, KG, and LLM-based similarity calculations, along with the complete AMVL algorithm and benchmarking procedures. By unifying diverse data modalities, AMVL offers a robust and scalable solution for accelerating drug discovery, fostering advancements in translational medicine and integrating multi-omics data. We aim to inspire further innovations in multi-source data integration and support the development of more precise and efficient strategies for advancing drug discovery and translational medicine.

Objective:To quickly identify the causes of morphological abnormalities of microcytic hypochromic erythrocytes that are detected during health checkups for recruitment of flying cadets, and to explore its role in medical selection.Methods:Students with hemoglobin (Hb)≥110 g/L and morphological abnormalities of microcytic hypochromic erythrocytes detected during the 2023 medical selection of flying cadets by Guangzhou Selection Center were selected. Their medical history was collected, and iron metabolism, Hb electrophoresis and hemoglobin H (HbH) inclusion bodies were examined to screen for thalassemia and iron deficiency. The diagnosis of thalassemia was confirmed by thalassemia gene testing. Those with iron deficiency received iron supplementation therapy and the recovery of Hb was observed.Results:Ninety-one students were diagnosed with Hb≥110 g/L and morphological abnormalities of microcytic hypochromic erythrocytes, accounting for 4.35% of the total. Among these cases, 85 with abnormal Hb electrophoresis and/or positive HbH inclusion body detection were confirmed as thalassemia minor via thalassemia genetic testing, and 3 cases with normal iron metabolism, Hb electrophoresis, and negative HbH inclusion body detection. A total of 88 cases of thalassemia minor were diagnosed, accounting for 96.70% of the total. Among them, 2 cases were complicated with iron deficiency while 3 were diagnosed with iron deficiency erythropoiesis. Out of the 91 students with Hb≥110 g/L and morphological abnormalities of microcytic hypochromic erythrocytes, 9 were recruited, including 7 cases with thalassemia minor (Hb≥130 g/L), 1 case with thalassemia minor combined with iron deficiency erythropoiesis (Hb≥130 g/L after iron supplementation), and 1 case with iron deficiency erythropoiesis (Hb≥130 g/L after iron supplementation). Among the 9 recruits, 8 were followed up for over one year and the results of their military physical fitness tests all reached or exceeded the standards, but the remaining one dropped out and lost contact.Conclusions:Among physical examinees during medical selection of flying cadets in South China, thalassemia is the leading cause of morphological abnormalities of microcytic hypochromic erythrocytes. Results of iron metabolism, Hb electrophoresis, and HbH inclusion body detection can help identify thalassemia and iron deficiency quickly. Cases of morphological abnormalities of microcytic hypochromic erythrocytes caused by iron deficiency can be considered eligible for selection after Hb levels return to normal following iron supplementation therapy. Students who are diagnosed with thalassemia with Hb<130 g/L can be determined as ineligible. Such rapid identification can facilitate the medical selection of the above 2 types of students.

Drug repurposing offers a promising alternative to traditional drug development and significantly re-duces costs and timelines by identifying new therapeutic uses for existing drugs.However,the current approaches often rely on limited data sources and simplistic hypotheses,which restrict their ability to capture the multi-faceted nature of biological systems.This study introduces adaptive multi-view learning(AMVL),a novel methodology that integrates chemical-induced transcriptional profiles(CTPs),knowledge graph(KG)embeddings,and large language model(LLM)representations,to enhance drug repurposing predictions.AMVL incorporates an innovative similarity matrix expansion strategy and leverages multi-view learning(MVL),matrix factorization,and ensemble optimization techniques to integrate heterogeneous multi-source data.Comprehensive evaluations on benchmark datasets(Fdata-set,Cdataset,and Ydataset)and the large-scale iDrug dataset demonstrate that AMVL outperforms state-of-the-art(SOTA)methods,achieving superior accuracy in predicting drug-disease associations across multiple metrics.Literature-based validation further confirmed the model's predictive capabilities,with seven out of the top ten predictions corroborated by post-2011 evidence.To promote transparency and reproducibility,all data and codes used in this study were open-sourced,providing resources for pro-cessing CTPs,KG,and LLM-based similarity calculations,along with the complete AMVL algorithm and benchmarking procedures.By unifying diverse data modalities,AMVL offers a robust and scalable so-lution for accelerating drug discovery,fostering advancements in translational medicine and integrating multi-omics data.We aim to inspire further innovations in multi-source data integration and support the development of more precise and efficient strategies for advancing drug discovery and translational medicine.

Escherichia coli(E.coli)is a key pathogenic bacterium responsible for postpartum endo-metritis,with its colonization in the reproductive tract closely associated with endometrial damage and disruption of the ovarian cycle.This ultimately leads to infertility,causing significant economic losses to the dairy industry.Macrophages play a pivotal role in the inflammatory response.This study aims to investigate the mRNA expression profile of bovine bone marrow-derived macropha-ges following E.coli infection using RNA sequencing(RNA-seq)technology.Additionally,it seeks to identify the biological functions and signaling pathways of differentially expressed genes(DEGs)through Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analyses.The results demonstrated that E.coli infection induced differential expression of 4 522 genes,with 2 141 upregulated and 2 381 downregulated.These genes were primarily asso-ciated with inflammatory responses,where TLR2,TLR4,NLRP3,and PTGS2 played pivotal roles.PGD2 synthesis was mediated by TLR2,TLR4,and NLRP3.Transcriptome sequencing of bovine bone marrow-derived macrophages infected with E.coli and treated with a PGD2 inhibitor revealed a marked downregulation of TLR2 and TLR4 gene expression.qPCR validation results were highly consistent with the RNA-seq findings.This study elucidates the interactive regulatory roles of TLR2,TLR4,and NLRP3 in conjunction with PGD2,which collectively modulate bovine endome-tritis.These findings offer significant molecular insights that enhance our understanding of the pathological mechanisms underlying bovine endometritis,thereby informing its prevention and treatment strategies.

Escherichia coli(E.coli)is a key pathogenic bacterium responsible for postpartum endo-metritis,with its colonization in the reproductive tract closely associated with endometrial damage and disruption of the ovarian cycle.This ultimately leads to infertility,causing significant economic losses to the dairy industry.Macrophages play a pivotal role in the inflammatory response.This study aims to investigate the mRNA expression profile of bovine bone marrow-derived macropha-ges following E.coli infection using RNA sequencing(RNA-seq)technology.Additionally,it seeks to identify the biological functions and signaling pathways of differentially expressed genes(DEGs)through Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analyses.The results demonstrated that E.coli infection induced differential expression of 4 522 genes,with 2 141 upregulated and 2 381 downregulated.These genes were primarily asso-ciated with inflammatory responses,where TLR2,TLR4,NLRP3,and PTGS2 played pivotal roles.PGD2 synthesis was mediated by TLR2,TLR4,and NLRP3.Transcriptome sequencing of bovine bone marrow-derived macrophages infected with E.coli and treated with a PGD2 inhibitor revealed a marked downregulation of TLR2 and TLR4 gene expression.qPCR validation results were highly consistent with the RNA-seq findings.This study elucidates the interactive regulatory roles of TLR2,TLR4,and NLRP3 in conjunction with PGD2,which collectively modulate bovine endome-tritis.These findings offer significant molecular insights that enhance our understanding of the pathological mechanisms underlying bovine endometritis,thereby informing its prevention and treatment strategies.

Objective:To quickly identify the causes of morphological abnormalities of microcytic hypochromic erythrocytes that are detected during health checkups for recruitment of flying cadets, and to explore its role in medical selection.Methods:Students with hemoglobin (Hb)≥110 g/L and morphological abnormalities of microcytic hypochromic erythrocytes detected during the 2023 medical selection of flying cadets by Guangzhou Selection Center were selected. Their medical history was collected, and iron metabolism, Hb electrophoresis and hemoglobin H (HbH) inclusion bodies were examined to screen for thalassemia and iron deficiency. The diagnosis of thalassemia was confirmed by thalassemia gene testing. Those with iron deficiency received iron supplementation therapy and the recovery of Hb was observed.Results:Ninety-one students were diagnosed with Hb≥110 g/L and morphological abnormalities of microcytic hypochromic erythrocytes, accounting for 4.35% of the total. Among these cases, 85 with abnormal Hb electrophoresis and/or positive HbH inclusion body detection were confirmed as thalassemia minor via thalassemia genetic testing, and 3 cases with normal iron metabolism, Hb electrophoresis, and negative HbH inclusion body detection. A total of 88 cases of thalassemia minor were diagnosed, accounting for 96.70% of the total. Among them, 2 cases were complicated with iron deficiency while 3 were diagnosed with iron deficiency erythropoiesis. Out of the 91 students with Hb≥110 g/L and morphological abnormalities of microcytic hypochromic erythrocytes, 9 were recruited, including 7 cases with thalassemia minor (Hb≥130 g/L), 1 case with thalassemia minor combined with iron deficiency erythropoiesis (Hb≥130 g/L after iron supplementation), and 1 case with iron deficiency erythropoiesis (Hb≥130 g/L after iron supplementation). Among the 9 recruits, 8 were followed up for over one year and the results of their military physical fitness tests all reached or exceeded the standards, but the remaining one dropped out and lost contact.Conclusions:Among physical examinees during medical selection of flying cadets in South China, thalassemia is the leading cause of morphological abnormalities of microcytic hypochromic erythrocytes. Results of iron metabolism, Hb electrophoresis, and HbH inclusion body detection can help identify thalassemia and iron deficiency quickly. Cases of morphological abnormalities of microcytic hypochromic erythrocytes caused by iron deficiency can be considered eligible for selection after Hb levels return to normal following iron supplementation therapy. Students who are diagnosed with thalassemia with Hb<130 g/L can be determined as ineligible. Such rapid identification can facilitate the medical selection of the above 2 types of students.

Low dose radiation (LDR) is a relatively low dose, but it is important in the fields of occupational health, medical radiation protection and environmental protection. Therefore, the effects of LDR on DNA damage repair and its potential mechanisms have attracted increasing attention. LDR mainly acts on DNA molecules in direct or indirect ways, leading to DNA double strand breaks (DSBs), which then triggers DNA damage, forms cluster damage, and induces DNA damage repair, which has a potential impact on organisms. However, long-term LDR exposure may lead to dysfunction of the DNA repair system and increase the risk of accumulating DNA damage. LDR-induced DNA damage response is an adaptive response, with DNA damage repair being one of its main mechanisms. The repair of DSBs is particularly important, with the main repair methods including homologous recombination and non-homologous end joining. LDR may also trigger adaptive responses by activating immune cells, enhancing cellular antioxidant capacities, and through varies of specific biological mechanisms such as immune/inflammatory response and antioxidant responses. The biological effects of LDR mainly include cell stress response, cell cycle regulation and bystander effect. In the future, it is necessary to further explore the molecular mechanism of LDR's impact on organism health and evaluate its impact on radiation risk assessment and individualized protective measures, to better understand the basic principles of radiation biology and provide scientific basis for radiation protection, risk assessment and injury treatment.

This study was designed to evaluate the correlation between immune antibodies and pelvic inflammatory disease(PID)using retrospective analysis.Cases were selected from 171 patients who met the diagnosis of PID in Liuzhou People's Hospital of Guangxi Province from January 2022 to March 2023,and the PID patients were further divided into simple PID group(53 cases)and in PID combined with reproductive tract infection group(118 cases)according to the presence or absence of reproductive tract infections,while 83 cases of women who did not meet the specific diagnostic criteria of PID and did not have reproductive tract infections were selected as the control group during the same period.The positive rate of immune antibodies in the three groups were observed and compared to explore the relationship between immune antibodies and PID.Data showed that the positive rates of immune antibodies were significantly higher in the PID alone group and the PID combined with reproductive tract infection group than that in the control group.Furthermore,the positive rate of immune antibody TPOAb was significant difference in the PID combined with reproductive tract infection group and the PID alone group(P<0.05).In conclusion,TPOAb is closely associated with reproductive tract infections.

Tendons play a crucial role in the motor system. However, tendon injuries can result in pain and function decline, a condition known as tendinopathy. Pain is often the earliest symptom, significantly impacting the lives and work of patients. There are many methods for addressing tendinopathy-associated pain, but the treatment is lengthy and the outcomes are not satisfactory. The main cause is that the mechanism of tendinopathy-associated pain is not completely clear yet. Therefore, it is of great value to identify the mechanism of tendinopathy-associated pain in order to discover new therapeutic strategies. To this end, the authors reviewed the research progress in the mechanisms of tendinopathy-associated pain, including changes in tissue structure, pain mediators, central regulation, etc, to provide a reference for researches on the mechanisms and clinical treatment of tendinopathy-associated pain.