Childhood obesity has become a global public health issue. Current research indicates that early life obesogen exposure has emerged as a significant risk factor for childhood obesity. While obesogens have been confirmed to influence the development and progression of childhood obesity through mechanisms such as endocrine disruption and epigenetic programming, controversies remain regarding the establishment of causal relationships, assessment of combined exposures, and validation of transgenerational effects in humans. In recent years, novel approaches including multi-omics technologies, exposome-based analysis, and multigenerational cohort studies have integrated dynamic biomarker monitoring with analyses of social-environmental interactions, offering new perspectives and methodologies for constructing a systematic "exposure-mechanism-outcome" research framework. This article reviews literature from PubMed and Web of Science up to August 2025 on the association between early life obesogen exposure and childhood obesity, summarizing evidence on the health effects of early life obesogen exposure, major exposure pathways and internal exposure assessment, interactions and amplifying effects of social and environmental factors, as well as the biological mechanisms underlying obesogen action. It further examines current research frontiers and challenges, aiming to provide a theoretical foundation for early prevention and precision intervention of childhood obesity.

Objective To explore the factors affecting the quality of psychological assistance hotline connections in Shaanxi Province, and to provide a basis for optimizing services. Methods A total of 149 calls with suicidal tendencies were included from January to March 2022, and data were collected by 31 trained assessors through standardized questionnaires (general information, suicide risk, emotional intensity, and wiring characteristics). Results The results showed that 56.38% of the callers were female, with age groups concentrated between ≤ 18 years old (29.53%) and 19-34 years old (43.62%). The call duration was mainly between 31 and 45 minutes (50.34%). Operators conducted a suicide risk assessment on the callers, with 38.9% having a comprehensive assessment, 38.9% having an incomplete assessment, and 22.1% having no assessment. The main mental disorders of the callers were depression (48.32%), anxiety (15.44%), and bipolar disorder (14.77%), with 25.50% having comorbidities of ≥ 2 disorders. Emotional scores were as follows: depression (4.11 ± 0.76), sadness (3.97 ± 1.03), and despair (3.78 ± 1.05). There were significant differences in depression, anger, despair, and sadness among the callers with different levels of danger (t=4.79, 3.35, 15.79, 4.24, all P<0.05). Women had higher levels of fear than men (t=3.10, P<0.01). The longer the call duration, the higher the level of despair (t=5.66, P<0.01). Multiple regression analysis showed that incomplete suicide risk assessment by operators (B=-2.36), general procedures for operators' connections (B=5.44), and technical factors (B=2.01) significantly affected the quality of psychological assistance hotlines (all P<0.05). Conclusion Callers with suicidal tendencies generally have serious mental and psychological problems and prominent negative emotions. Strengthening the suicide risk assessment ability of operators and standardizing processes and service attitudes are key to improving the quality of psychological assistance hotlines.

ObjectiveTransfer RNA-derived fragments (tRFs) are a recently characterized and rapidly expanding class of small non-coding RNAs, typically ranging from 13 to 50 nucleotides in length. They are derived from mature or precursor tRNA molecules through specific cleavage events and have been implicated in a wide range of cellular processes. Increasing evidence indicates that tRFs play important regulatory roles in gene expression, primarily by interacting with target messenger RNAs (mRNAs) to induce transcript degradation, in a manner partially analogous to microRNAs (miRNAs). However, despite their emerging biological relevance and potential roles in disease mechanisms, there remains a significant lack of computational tools capable of systematically predicting the interaction landscape between tRFs and their target mRNAs. Existing databases often rely on limited interaction features and lack the flexibility to accommodate novel or user-defined tRF sequences. The primary goal of this study was to develop a machine learning based prediction algorithm that enables high-throughput, accurate identification of tRF:mRNA binding events, thereby facilitating the functional analysis of tRF regulatory networks. MethodsWe began by assembling a manually curated dataset of 38 687 experimentally verified tRF:mRNA interaction pairs and extracting seven biologically informed features for each pair: (1) AU content of the binding site, (2) site pairing status, (3) binding region location, (4) number of binding sites per mRNA, (5) length of the longest consecutive complementary stretch, (6) total binding region length, and (7) seed sequence complementarity. Using this dataset and feature set, we trained 4 distinct machine learning classifiers—logistic regression, random forest, decision tree, and a multilayer perceptron (MLP)—to compare their ability to discriminate true interactions from non-interactions. Each model’s performance was evaluated using overall accuracy, receiver operating characteristic (ROC) curves, and the corresponding area under the ROC curve (AUC). The MLP consistently achieved the highest AUC among the four, and was therefore selected as the backbone of our prediction framework, which we named tRF Prospect. For biological validation, we retrieved 3 high-throughput RNA-seq datasets from the gene expression omnibus (GEO) in which individual tRFs were overexpressed: AS-tDR-007333 (GSE184690), tRF-3004b (GSE197091), and tRF-20-S998LO9D (GSE208381). Differential expression analysis of each dataset identified genes downregulated upon tRF overexpression, which we designated as putative targets. We then compared the predictions generated by tRF Prospect against those from three established tools—tRFTar, tRForest, and tRFTarget—by quantifying the number of predicted targets for each tRF and assessing concordance with the experimentally derived gene sets. ResultsThe proposed algorithm achieved high predictive accuracy, with an AUC of 0.934. Functional validation was conducted using transcriptome-wide RNA-seq datasets from cells overexpressing specific tRFs, confirming the model’s ability to accurately predict biologically relevant downregulation of mRNA targets. When benchmarked against established tools such as tRFTar, tRForest, and tRFTarget, tRF Prospect consistently demonstrated superior performance, both in terms of predictive precision and sensitivity, as well as in identifying a higher number of true-positive interactions. Moreover, unlike static databases that are limited to precomputed results, tRF Prospect supports real-time prediction for any user-defined tRF sequence, enhancing its applicability in exploratory and hypothesis-driven research. ConclusionThis study introduces tRF Prospect as a powerful and flexible computational tool for investigating tRF:mRNA interactions. By leveraging the predictive strength of deep learning and incorporating a broad spectrum of interaction-relevant features, it addresses key limitations of existing platforms. Specifically, tRF Prospect: (1) expands the range of detectable tRF and target types; (2) improves prediction accuracy through multilayer perceptron model; and (3) allows for dynamic, user-driven analysis beyond database constraints. Although the current version emphasizes miRNA-like repression mechanisms and faces challenges in accurately capturing 5'UTR-associated binding events, it nonetheless provides a critical foundation for future studies aiming to unravel the complex roles of tRFs in gene regulation, cellular function, and disease pathogenesis.

AIM To observe the effects of Yiqi Jiedu Tongluo Formula(YQJDTL)on renal microvascular endothelial function and prevention of renal injury in a rat model of type 2 diabetes mellitus(T2DM).METHODS The SD rats were randomly divided into a normal group and a model group.The model group was administered with high-fat diet combined with a single intraperitoneal injection of STZ to establish the T2DM model.The successfully modeled rats were randomly divided into the model group,the canagliflozin group(9 mg/kg),and the low-dose and high-dose YQJDTL groups(4.77,9.45 g/kg).The corresponding doses of the drug were administered by gavage for a total of 12 weeks,during which the rats underwent observation of their general condition and blood glucose changes.After the end of administration,the rats had their levels of renal index,24-hour UP,serum SCr,BUN,TC,TG,HDL-C,LDL-C,ET-1 and NOS measured;their changes in renal microvasculature and the degree of renal fibrosis observed using HE staining,Masson staining,PAS staining,and PASM staining;their ultrastructure of the glomeruli observed using transmission electron microscopy;their renal protein expressions of TGF-β,SMAD2,SMAD3,Col-1,VEGFA and PKC detected by immunohistochemical staining and Western blot;and their renal mRNA expressions of VEGFA,TGF-β,SMAD2 determined by RT-qPCR.RESULTS Compared with the model group,the high-dose YQJDTL group showed decreased levels of renal index,blood glucose,TG,TC,HDL,24 h UP,BUN,SCr and ET-1(P＜0.05,P＜0.01);increased LDL and NOS levels(P＜0.05,P＜0.01);reduced renal inflammatory infiltration and fibrosis degree,inhibited fusion of foot processes and thickening of basement membrane;decreased renal protein expressions of TGF-β,SMAD2,SMAD3,VEGFA,PKC and Col-1(P＜0.05,P＜0.01);and decreased mRNA expressions of VEGFA,TGF-β and SMAD2(P＜0.01).CONCLUSION In the rat models of T2DM,YQJDTL can reduce their levels of blood glucose and lipids by improving the renal indices levels and the renal microvascular endothelial functions to alleviate renal fibrosis and microangiopathy as well,and the mechanism may be associated with the down-regulated expressions of TGF-β/SMAD and VEGF pathway-related proteins.

Aberrant expression of Colgalt1 is closely associated with tumorigenesis and tumor progres-sion;however,the mechanism by which it regulates macrophages to influence tumor development remains poorly understood.This study aimed to establish a macrophage-specific Colgalt1 gene knockout mouse model to delve into the mechanisms through which Colgalt1 modulates macrophage function and subse-quently affects the occurrence and progression of tumor-related diseases.Initially,Colgalt1flox+mice were generated using gene editing techniques,followed by crossing with Lyz2-Cre+mice,which exhibit tissue-specific expression in the myeloid lineage(including monocytes and mature macrophages).Through this strategy,mice with the genotype Colgalt1-/-Lyz2-Cre+were successfully obtained,achieving conditional knockout of the Colgalt1 gene in macrophages.Colgalt1flox/flox Lyz2-Cre-mice were used as control.PCR and agarose gel electrophoresis were employed to identify the Flox and Cre genotypes of the knockout mice.RT-qPCR and Western Blot techniques were utilized to detect the expression levels of Colgalt1 in BMDMs from knockout mice at both the mRNA and protein levels,respectively.Western Blot results re-vealed a significant downregulation of Colgaltl expression in BMDMs from knockout mice compared to controls(P＜0.01).RT-qPCR results demonstrated a significant reduction in Colgalt1 mRNA levels in BMDMs from knockout mice compared to contro1s(P＜0.001),while no significant differences in Col-galt1 mRNA expression were observed in liver,lung,or spleen tissues between the two groups.Addition-ally,immunohistochemistry was employed to detect Colgalt1 expression in liver-specific macrophages,re-vealing an absence of Colgalt l-positive staining in liver macrophages from knockout mice.HE staining was used to observe cellular morphology in liver tissues from both groups of mice,showing no significant differences in cellular morphology or obvious pathological changes in tissues and organs.Moreover,the o-verall survival of the mice was not affected.Finally,RT-qPCR was used to assess the expression of mac-rophage-related inflammatory factors in BMDMs from both groups of mice.The results indicated that com-pared to controls,knockout mice exhibited downregulated expression of TNF-α(P＜0.05)and signifi-cantly upregulated expression of IL-10(P＜0.01),Arginase1(P＜0.001),and CD206(P＜0.001)in BMDMs,suggesting an anti-inflammatory trend and M2 polarization of macrophages following Colgalt 1 knockout.In summary,this study successfully established a macrophage-specific Colgalt1 gene knockout mouse model,providing a more reliable experimental animal model for in-depth exploration of the specific roles of Colgalt1 in macrophage functional regulation and the pathogenesis of tumor-related diseases.This model holds promise for identifying novel therapeutic targets and strategies for tumors and other diseases.

Objective:To investigate the iodine nutrition level and the prevalence of thyroid nodules in pregnant women in Hubei Province, and to provide a basis for prevention and treatment of iodine deficiency disorders.Methods:According to the requirements of the National Iodine Deficiency Disorders Monitoring Program (2016 Edition), a cross-sectional survey of iodine nutrition status of pregnant women ( n = 321) was conducted from July to October 2020 in two mountainous counties (Tongcheng County and Xingshan County) and two plain counties (Liangzihu District and Xinzhou District) in Hubei Province. Among them, there were 43, 114, and 164 pregnant women in the early, middle, and late stages of pregnancy, respectively. Edible salt samples and once random urine samples were collected to detect salt iodine and urinary iodine, and thyroid ultrasound was performed to calculate the detection rate of thyroid nodules. Results:The coverage rate of iodized salt, qualified rate of iodized salt, and consumption rate of qualified iodized salt in Hubei Province were 99.69% (320/321), 95.94% (307/320) and 95.64% (307/321), respectively. The median urinary iodine level for pregnant women was 164.80 μg/L. Among them, the median urinary iodine levels in Liangzihu District, Tongcheng County, Xinzhou District, and Xingshan County were 175.90, 178.25, 155.80 and 143.00 μg/L, respectively. There was a statistically significant difference in urinary iodine levels among different regions ( H = 8.51, P = 0.037). The median urinary iodine levels of pregnant women in the early, middle, and late stages of pregnancy were 187.20, 144.45, and 172.05 μg/L, respectively. There was no statistically significant difference in urinary iodine levels among pregnant women in different stages of pregnancy ( H = 2.94, P = 0.230). Urinary iodine < 150, 150 - < 250, 250 - < 500, ≥500 μg/L accounted for 45.48% (146/321), 33.33% (107/321), 19.63% (63/321), 1.56% (5/321), respectively. The detection rate of thyroid nodules was 16.82% (54/321), and the goiter rate was 0.93% (3/321). Conclusions:In 2020, Hubei Province is in an appropriate state of iodine, and there are still a considerable proportion of pregnant women in a state of iodine deficiency. The detection rate of thyroid nodules is relatively low. It is necessary to continuously monitor the iodine nutrition of pregnant women, strengthen health promotion on the hazards of iodine deficiency during pregnancy, and minimize maternal and infant health damage caused by iodine deficiency.

Objective:To investigate ⅰ)the therapeutic effects of different doses of recombinant human prourokinase(rh-proUK)on patients with ST segment elevation myocardial infarction(STEMI)undergoing percutaneous coronary inter-vention(PCI),and ⅱ)its impact on peripheral blood P-selectin(CD62p)and Adropin levels.Methods:This randomized control study enrolled 132 STEMI patients undergoing PCI in Weinan Second Hospital between June 2020 and June 2023.Patients were randomly divided into control group(n=44,routine medication),low dose group(n=44,10 mg rh-proUK therapy)and high dose group(n=44,20 mg rh-proUK therapy).Therapeutic effective rate,myocardial perfu-sion immediate after operation,cardiac function,peripheral blood CD62p and Adropin levels,incidence of major adverse cardiovascular events(MACE)within 1 month after operation were compared among three groups.Results:Compared to patients in control group,those in high dose group had significantly higher total effective rate(95.5％vs.54.6％),pro-portions of TIMI myocardial perfusion grade(TMPG)grade 3(86.4％vs.25.0％)and ST segment resolution above 30％(∑STR≥30％)(88.6％vs.59.1％),stroke volume(SV)[(76.81±24.47)ml vs.(61.89±14.84)ml]and cardiac output(CO)[(6.48±1.45)L/min vs.(5.48±1.98)L/min],and significantly lower corrected TIMI frame count(CT-FC)[(31.80±6.32)frames vs.(52.39±7.14)frames],CD62p[(70.52±9.54)％vs.(82.42±12.44)％],Adropin[(82.48±9.55)pg/ml vs.(94.48±10.53)pg/ml]and total incidence of MACE(9.1％vs.38.6％)(P＜0.05 or＜0.01).Compared to those in low dose group,patients in high dose group had significantly higher total effective rate,pro-portions of TMPG grade 3 and ∑STR≥30％,SV and CO,and significantly lower CTFC,CD62p,Adropin and total inci-dence of MACE(P＜0.05 or＜0.01).Conclusion:The therapeutic effect of 20 mg rh-proUK on STEMI patients under-going PCI is significantly better than that of 10 mg,which could improve cardiac function,reduce CD62p,Adropin levels,and incidence of major adverse cardiovascular events.

Objective To compare the efficacy of anticoagulation treatment(AT)alone and combining mechanical thrombectomy(MT)for cerebral venous sinus thrombosis(CVST).Methods Totally 150 patients with CVST were collected,including 90 underwent only AT(AT group)and 60 underwent MT+AT(combined group).The rate of venous sinus recanalization at discharge,the prognosis at discharge and 6,12 months after discharge(modified Rankin scale[mRS]score of 0 to 2 was considered as good prognosis)were compared between groups,and relative complications were recorded.Results At discharge,the rate of complete and partial recanalization of venous sinuses in combined group were both higher than that in AT group(both P＜0.001).No significant difference of the rate of good prognosis at discharge was found between groups(P=0.191),while 6 and 12 months after discharge,the rate of good prognosis in combined group were both higher than that in AT group(P=0.046,0.028).During the treatment and follow-up period,no significant difference of the incidence of complications was found between groups(5.00%[3/60]vs.11.11%[10/90],P=0.245).Conclusion Compared with AT alone,AT combining with MT could improve revascularization rate and prognosis of CVST without increasing the risk of complications.

The aim of this experiment was to study the effects of different feeding modes on growth performance,blood biochemical indexes and intestinal flora of lactating Holstein male calves.Twenty-four newborn Holstein male calves with body mass of(40.00±1.01)kg and similar day old were selected and randomly divided into four groups of six calves each.The subgroups were low-milk group(LM),high-milk group(HM),high-milk milk replacer feeding group(HMR),and low-milk switching to high-milk milk replacer feeding group(CMR).The results showed that:At 45 d,the body mass of calves in the HM group was significantly higher than that of calves in the other groups(P＜0.05),and at 60 d,the body mass of calves in the HM group was significantly higher than that of calves in the LM &.CMR groups(P＜0.05).At 90 d,the body mass of calves in the LM group was significantly higher than that of calves in the HM group.Throughout the ex-perimental period,the average daily weight gain and average pellet feed intake of calves in the LM group were significantly higher than that of calves in the HM group(P＜0.05).The calf globulin level in the HMR group was significantly higher than that in the LM and HM groups(P＜0.05);the plasma immunoglobulin A level of calves in the HM group was significantly lower than that of calves in the LM and HMR groups(P＜0.05);and the plasma immunoglobulin M level of calves in the HM group was significantly higher than that of calves in the LM and CMR groups(P＜0.05),and HMR group was also significantly higher than that of LM group(P＜0.05);plasma glutathione peroxidase level of calves in HMR group was significantly higher than that of LM group(P＜0.05);plasma malondialdehyde level of calves in LM group was significantly higher than that of calves in HMR and HM groups(P＜0.05),and CMR group was also significantly higher than that of HM group(P＜0.05).Relative abundance of Thermodesulfovibrio was higher in the HM group(P＜0.05),relative abundance of Bacteroidetes in the LM group was significantly higher than that in the HMR and HM groups(P＜0.05),relative abundance of Blautia in the HM group(P＜0.05),and relative abundance of Corynebacterium in the CMR group was significantly higher than that in the LM and HM groups(P＜0.05).In summary,calves in the LM group had better weaning weights and pellet feed intake;calves in the CMR group could compensate for growth by supplemental feeding of milk replacer to obtain more optimal weaning weights and pel-let feed intake;the HMR group proved that milk-free feeding could ensure stable growth of calves;and calves in the HM group had a better pre-lactation growth performance,lower levels of oxida-tive stress,and a healthier fecal flora.

The data from outpatient prescriptions of small-size aspirin enteric-coated tablets(25 mg/tablet)in a community hospital were analyzed to provide reference for rational clinical drug use.Patients'medication information of 1 325 prescriptions was collected and analyzed by defined daily dose system(DDDs)and drug utilization index(DUI),and the rationality of drug use was analyzed according to drug instructions and literature.The mean age of males and females were(73.70±8.33)years old and(72.95±8.34)years old,respectively.The top 3 DDDs age groups were women aged 60-79 years,men aged 60-79 years and women aged 80-99 years.The proportion of prescriptions in female patients was 59.62%.DUI ranges from 0.75 to 0.85.Irrational drug use was found in 123 prescriptions,including 89 prescriptions(72.35%)of inappropriate drug selection,19 prescriptions(15.45%)with low dose,6 prescriptions(4.88%)with contraindication,5 prescriptions(4.06%)with inconsistent frequency of administration,2 prescriptions(1.63%)of out-of-indication drug use,and 2 prescriptions(1.63%)of high dose.For the phenomenon of irrational drug use,it is necessary to conduct real-time intervention to ensure the safety and effectiveness of drug use.