Purpose: Human epidermal growth factor receptor 2 (HER2)-low breast cancer has the potential to emerge as a distinct subtype. Several studies have compared the differences between HER2-low and HER2-0 breast cancers, but no consensus has been reached.Additionally, a biomarker to predict pathological complete response (pCR) rates in patients with HER2-low breast cancer remains to be identified. Methods: We collected data from 777 patients across three centers, stratifying them into HER2-low and HER2-0 groups. We compared differences in survival and pCR rates between the two groups and investigated potential biomarkers that could reliably predict pCR. Results: The study found that patients with HER2-0 breast cancer had higher pCR rates compared to patients with HER2-low tumors (289 patients [30.1%] vs. 475 patients [18.1%], p < 0.0001). Survival analysis showed no significant advantage for HER2-low tumors over HER2-0 breast cancers. Binary logistic analysis revealed that androgen receptor (AR) expression predicts poorer pCR rates in both the overall patient group and the HER2-0 breast cancer group (overall patients: odds ratio [OR], 0.479; 95% confidence interval [CI], 0.250–0.917; p = 0.026 and HER2-0 patients: OR, 0.267; 95% CI, 0.080–0.892; p = 0.032). In contrast, programmed death ligand 1 (PD-L1) expression was associated with more favorable pCR rates in the overall patient group (OR, 3.199; 95% CI, 1.020–10.037; p = 0.046). Conclusion There is currently insufficient evidence to classify HER2-low breast cancer as a distinct subtype. Our study revealed that AR expression, along with negative PD-L1 expression, contributes to lower pCR rates.

Purpose: Human epidermal growth factor receptor 2 (HER2)-low breast cancer has the potential to emerge as a distinct subtype. Several studies have compared the differences between HER2-low and HER2-0 breast cancers, but no consensus has been reached.Additionally, a biomarker to predict pathological complete response (pCR) rates in patients with HER2-low breast cancer remains to be identified. Methods: We collected data from 777 patients across three centers, stratifying them into HER2-low and HER2-0 groups. We compared differences in survival and pCR rates between the two groups and investigated potential biomarkers that could reliably predict pCR. Results: The study found that patients with HER2-0 breast cancer had higher pCR rates compared to patients with HER2-low tumors (289 patients [30.1%] vs. 475 patients [18.1%], p < 0.0001). Survival analysis showed no significant advantage for HER2-low tumors over HER2-0 breast cancers. Binary logistic analysis revealed that androgen receptor (AR) expression predicts poorer pCR rates in both the overall patient group and the HER2-0 breast cancer group (overall patients: odds ratio [OR], 0.479; 95% confidence interval [CI], 0.250–0.917; p = 0.026 and HER2-0 patients: OR, 0.267; 95% CI, 0.080–0.892; p = 0.032). In contrast, programmed death ligand 1 (PD-L1) expression was associated with more favorable pCR rates in the overall patient group (OR, 3.199; 95% CI, 1.020–10.037; p = 0.046). Conclusion There is currently insufficient evidence to classify HER2-low breast cancer as a distinct subtype. Our study revealed that AR expression, along with negative PD-L1 expression, contributes to lower pCR rates.

Purpose: Human epidermal growth factor receptor 2 (HER2)-low breast cancer has the potential to emerge as a distinct subtype. Several studies have compared the differences between HER2-low and HER2-0 breast cancers, but no consensus has been reached.Additionally, a biomarker to predict pathological complete response (pCR) rates in patients with HER2-low breast cancer remains to be identified. Methods: We collected data from 777 patients across three centers, stratifying them into HER2-low and HER2-0 groups. We compared differences in survival and pCR rates between the two groups and investigated potential biomarkers that could reliably predict pCR. Results: The study found that patients with HER2-0 breast cancer had higher pCR rates compared to patients with HER2-low tumors (289 patients [30.1%] vs. 475 patients [18.1%], p < 0.0001). Survival analysis showed no significant advantage for HER2-low tumors over HER2-0 breast cancers. Binary logistic analysis revealed that androgen receptor (AR) expression predicts poorer pCR rates in both the overall patient group and the HER2-0 breast cancer group (overall patients: odds ratio [OR], 0.479; 95% confidence interval [CI], 0.250–0.917; p = 0.026 and HER2-0 patients: OR, 0.267; 95% CI, 0.080–0.892; p = 0.032). In contrast, programmed death ligand 1 (PD-L1) expression was associated with more favorable pCR rates in the overall patient group (OR, 3.199; 95% CI, 1.020–10.037; p = 0.046). Conclusion There is currently insufficient evidence to classify HER2-low breast cancer as a distinct subtype. Our study revealed that AR expression, along with negative PD-L1 expression, contributes to lower pCR rates.

ObjectiveTo clarify the repair effect of Mume Fructus on the intestinal mucosal epithelial barrier in the mouse model of inflammatory bowel disease （IBD） and explore the repair mechanism. MethodsThirty-six male C57BL/6 mice were randomly assigned into six groups： normal， model， low-， medium-， and high-dose （200， 400， and 800 mg·kg^-1） Mume Fructus， and sulfasalazine （300 mg·kg^-1）. Except the normal group， the rest groups had free access to 2% dextran sulfate sodium （DSS） solution for seven days to establish the IBD model， followed by a seven-day drug intervention. The body weight change and disease activity index （DAI） were recorded. After the last administration， spleen and colon tissue samples were collected to analyze the differences in colon length and spleen index. Hematoxylin-eosin staining was used to observe the morphology of the colon tissue. The level of diamine oxidase （DAO） in the serum was measured by the DAO assay kit. Immunohistochemistry was employed to determine the expression of tight junction proteins such as Claudin-1， Occludin， and zonula occludens-1 （ZO-1） in the colon tissue. Real-time PCR was performed to measure the mRNA levels of tumor necrosis factor-α （TNF-α） and interleukin-1β （IL-1β） in the colon tissue. Finally， Western blot was employed to determine the protein levels of mitogen-activated protein kinase kinase （MEK）， extracellular signal-regulated kinase （ERK）， phosphorylated （p）-MEK， and phosphorylated ERK in the colon tissue. ResultsCompared with the normal group， the model group exhibited decreases in body weight and colon length （P<0.01）， increases in DAI， spleen index， and serum DAO level （P<0.01）， damaged colonic epithelium and goblet cells， and obvious infiltration of inflammatory cells. In addition， the model group exhibited higher positive expression of Claudin-1， Occludin， and ZO-1 （P<0.01）， higher mRNA levels of TNF-α and IL-1β （P<0.01）， and higher protein levels of p-MEK and p-ERK （P<0.05， P<0.01） than the normal group. However， sulfasalazine and three doses of Mume Fructus markedly decreased the body weight and DAI （P<0.05）， recovered the colon length and spleen index， alleviated colon tissue damage， lowered the level of DAO in the serum （P<0.01）， and down-regulated the mRNA levels of TNF-α and IL-1β （P<0.01） and the protein levels of p-MEK and p-ERK （P<0.05）. Sulfasalazine and low- and medium-dose Mume Fructus increased the positive expression of Occludin， Claudin-1， and ZO-1 （P<0.05， P<0.01）. Furthermore， high-dose Mume Fructus elevated the protein expression of Occludin （P<0.05）. ConclusionMume Fructus can restore the expression of intestinal epithelial tight junction proteins by inhibiting the phosphorylation of proteins in the MEK/ERK signaling pathway and down-regulating the levels of TNF-α and IL-1β， thus repairing the intestinal mucosal barrier in the mouse model of IBD.

ObjectiveTo investigate the modulating effect of modified Wumeiwan （MWMW） on the ulcerative colitis （UC）-associated intestinal helper T cell 17 （Th17）/regulatory T cell （Treg） balance and intestinal flora by using a human flora-associated model of UC patients with dampness-heat obstruction syndrome， thus providing a new idea for the UC-related research and therapeutic strategies. MethodsThe 24 male C57BL/6J mice were randomized into normal control， model， and MWMW groups （n=8）. Model and MWMW groups were first treated with an antibiotic cocktail （vancomycin， 0.1 g·kg^-1； neomycin sulfate， 0.2 g·kg^-1； ampicillin， 0.2 g·kg^-1； metronidazole， 0.2 g·kg^-1） for 21 days. At the end of antibiotic treatment， the gavage of fecal microbiota suspension from UC patients with dampness-heat obstruction syndrome was started at a dose of 0.2 mL·d^-1 for 19 consecutive days， by which a human flora-associated model of UC was obtained. The MWMW group was administrated daily with MWMW liquid （12.5 g·kg^-1）， while the normal control and model groups were administrated by gavage with an equal amount of sterile water for 7 consecutive days. The symptoms of dampness-heat obstruction were observed. The colon length and spleen index were measured and calculated， and the proportions of Th17 and Treg cells were detected by flow assay. The intestinal flora was analyzed by 16S rRNA high-throughput sequencing. ResultsCompared with the normal control group， the model group showed shortened colon （P<0.05） and increased spleen index （P<0.01）. Compared with the model group， the MWMW group showed prolonged colon （P<0.01） and decreased spleen index （P<0.05）. After the intervention of MWMW， the Th17 proportion and Th17/Treg ratio in the colon decreased （P<0.01）， and the proportion of Treg cells increased （P<0.05）. The number of species and alpha and beta diversity of intestinal flora in mice were regulated by MWMW （P<0.05）. In terms of intestinal flora composition， MWMW increased the relative abundance of several phyla （Firmicutes， Proteobacteria， Fusobacteriota， Actinobacteriota， and Gemmatimonadota）， the genus Bacteroides， and two species （Bacteroides thetaiotaomicron and B. fragilis） in model mice. Moreover， Spearman's correlation analysis showed that the relative abundance of B. thetaiotaomicron and B. fragilis were negatively correlated with the Th17 level （P<0.05）. In addition， the above changes in intestinal flora caused the changes in microbial genes involved in 14 pathways， such as glycolysis， amino acid degradation， inorganic nutrient metabolism， biosynthesis of pyrimidine deoxyribonucleotides， antibiotic resistance， and degradation of polysaccharides. ConclusionsThe human flora-associated model successfully simulated the changes （marked by a decrease in the abundance of Bacteroides） of intestinal flora in UC patients with dampness-heat obstruction syndrome. MWMW can enrich the abundance of beneficial bacteria such as B. thetaiotaomicron and B. fragilis and promote the synergistic intestinal immune modulation with the metabolic functions centered on glycolysis， amino acid metabolism， and nucleotide synthesis through bacterial polysaccharide utilization sites to reduce the Th17/Treg ratio， thereby exerting a protective effect on UC.

ObjectiveTo elucidate the potential mechanism of modified Sinisan （MSNS） in alleviating anxiety-like behaviors induced by chronic restraint stress （CRS） in mice at the metabolic level based on serum untargeted metabolomics and identify key metabolites and metabolic pathways regulated by MSNS. MethodsSeventy-two male C57BL/6 mice were randomly assigned into six groups： control， model， high-dose （2.4 g·kg^-1） MSNS， medium-dose （1.2 g·kg^-1） MSNS， low-dose （0.6 g·kg^-1） MSNS， and positive control （fluoxetine， 2.6 mg·kg^-1）. Except the control group， the other groups were subjected to CRS for the modeling of anxiety. Mice were administrated with corresponding agents by gavage 2 h before daily restraint for 14 days. Anxiety-like behaviors were evaluated by the open field test （OFT）， elevated plus maze （EPM） test， and light/dark box （LDB） test. Serum levels of corticotropin-releasing hormone （CRH）， adrenocorticotrophic hormone （ACTH）， and corticosterone （CORT） were measured via ELISA to assess stress levels. Ultra-performance liquid chromatography-tandem mass spectrometry （UPLC-MS/MS） was employed to detect 9 metabolites in the brain tissue and serum metabolites. Orthogonal partial least squares-discriminant analysis （OPLS-DA） was adopted to identify differential metabolites （VIP>1.0， P<0.05）. MetaboAnalyst 5.0 was used for metabolic pathway enrichment analysis of the differential metabolites. ResultsCompared with the control group， the model group showed reductions in the central activity time and central distance in the OFT （P<0.05）， the proportions of open-arm residence time and open-arm residence times in the EPM test （P<0.01）， and the proportions of open box activity time and open box activity distance in the LDB test （P<0.05）， which were increased in the medium- and high-dose MSNS groups compared with the model group （P<0.05）. Compared with the control group， the model group showed elevated levels of CRH， ACTH， and CORT in the serum （P<0.01）， and the elevations were diminished in the medium- and high-dose MSNS groups （P<0.05）. UPLC-MS results indicated that compared with the control group， the model group presented declined DA， GABA， 5-HIAA， 5-HT， and 5-HT/Trp levels （P<0.05， P<0.01） and raised Glu， NE， Kyn， and Kyn/Trp levels （P<0.05）. Compared with the model group， high-dose MSNS increased the GABA， 5-HIAA， and 5-HT/Trp levels （P<0.05） and lowered the Glu and Kyn/Trp levels （P<0.05）. Untargeted metabolomics identified that 16 CRS-induced metabolic disturbances were reversed by MSNS. KEGG pathway analysis indicated that MSNS primarily modulated eight core pathways including alanine/aspartate/glutamate metabolism， butyrate metabolism， arginine-proline metabolism， TCA cycle， unsaturated fatty acid biosynthesis， and tryptophan metabolism. The mechanisms involved multidimensional biological processes， including neurotransmitter homeostasis regulation， TCA cycle energy metabolism optimization， and inflammatory response suppression. ConclusionMSNS alleviates CRS-induced anxiety-like behaviors in mice by mitigating hypothalamic-pituitary-adrenal axis hyperactivity， improving hippocampal neurotransmitter and tryptophan metabolic pathways， and regulating alanine/aspartate/glutamate metabolism， butyrate metabolism， arginine-proline metabolism， and TCA cycle.

ObjectiveTo elucidate the potential mechanism of modified Sinisan （MSNS） in alleviating anxiety-like behaviors induced by chronic restraint stress （CRS） in mice at the metabolic level based on serum untargeted metabolomics and identify key metabolites and metabolic pathways regulated by MSNS. MethodsSeventy-two male C57BL/6 mice were randomly assigned into six groups： control， model， high-dose （2.4 g·kg^-1） MSNS， medium-dose （1.2 g·kg^-1） MSNS， low-dose （0.6 g·kg^-1） MSNS， and positive control （fluoxetine， 2.6 mg·kg^-1）. Except the control group， the other groups were subjected to CRS for the modeling of anxiety. Mice were administrated with corresponding agents by gavage 2 h before daily restraint for 14 days. Anxiety-like behaviors were evaluated by the open field test （OFT）， elevated plus maze （EPM） test， and light/dark box （LDB） test. Serum levels of corticotropin-releasing hormone （CRH）， adrenocorticotrophic hormone （ACTH）， and corticosterone （CORT） were measured via ELISA to assess stress levels. Ultra-performance liquid chromatography-tandem mass spectrometry （UPLC-MS/MS） was employed to detect 9 metabolites in the brain tissue and serum metabolites. Orthogonal partial least squares-discriminant analysis （OPLS-DA） was adopted to identify differential metabolites （VIP>1.0， P<0.05）. MetaboAnalyst 5.0 was used for metabolic pathway enrichment analysis of the differential metabolites. ResultsCompared with the control group， the model group showed reductions in the central activity time and central distance in the OFT （P<0.05）， the proportions of open-arm residence time and open-arm residence times in the EPM test （P<0.01）， and the proportions of open box activity time and open box activity distance in the LDB test （P<0.05）， which were increased in the medium- and high-dose MSNS groups compared with the model group （P<0.05）. Compared with the control group， the model group showed elevated levels of CRH， ACTH， and CORT in the serum （P<0.01）， and the elevations were diminished in the medium- and high-dose MSNS groups （P<0.05）. UPLC-MS results indicated that compared with the control group， the model group presented declined DA， GABA， 5-HIAA， 5-HT， and 5-HT/Trp levels （P<0.05， P<0.01） and raised Glu， NE， Kyn， and Kyn/Trp levels （P<0.05）. Compared with the model group， high-dose MSNS increased the GABA， 5-HIAA， and 5-HT/Trp levels （P<0.05） and lowered the Glu and Kyn/Trp levels （P<0.05）. Untargeted metabolomics identified that 16 CRS-induced metabolic disturbances were reversed by MSNS. KEGG pathway analysis indicated that MSNS primarily modulated eight core pathways including alanine/aspartate/glutamate metabolism， butyrate metabolism， arginine-proline metabolism， TCA cycle， unsaturated fatty acid biosynthesis， and tryptophan metabolism. The mechanisms involved multidimensional biological processes， including neurotransmitter homeostasis regulation， TCA cycle energy metabolism optimization， and inflammatory response suppression. ConclusionMSNS alleviates CRS-induced anxiety-like behaviors in mice by mitigating hypothalamic-pituitary-adrenal axis hyperactivity， improving hippocampal neurotransmitter and tryptophan metabolic pathways， and regulating alanine/aspartate/glutamate metabolism， butyrate metabolism， arginine-proline metabolism， and TCA cycle.

Radiation mainly comes from medical radiation,industrial radiation,nuclear waste and atmospheric ultraviolet radiation,etc.,radiation is divided into ionizing radiation and non-ionizing radiation.Studying the effects of ionizing and non-ionizing radiation on drug metabolism,understanding the absorption and distribution of drugs in the body after radiation and the speed of elimination under radiation conditions can provide reasonable guidance for clinical medication.This article reviews the effects of radiation on the pharmacokinetics of different drugs,elaborates the changes of different pharmacokinetics under radiation state,and discusses the reasons for the changes.

Objective To evaluate myocardial microvascular lesions in patients with type 2 diabetes mellitus(T2DM)by 2D-speckle tracking echocardiography(2D-STE)and myocardial contrast echocar-diography(MCE).Methods A total of 45 T2DM patients admitted to the Endocrine Department of The First Affiliated Hospital of Air Force Military Medical University from August to November 2022 were enrolled in this study.All the patients were divided into two groups:simple T2DM group(n=22)and T2DM with microvascular complication group(MIC,n=23).In addition,24 healthy subjects were included as normal control(NC)group.2D-STE obtained the global longitudinal strain(GLS)and global circumferential strain(GCS);MCE obtained the average acoustic intensity(A),perfusion slope(b)of left ventricular segment,then myocardial blood flow(Aβ)was calculated and compared between groups.Results Compared with NC group,GLS,GCS,β and Aβ were lower in T2DM and MIC group(P＜0.05).Among the parameters of 2D-STE and MCE,GLS and Aβ have high diagnostic performance(P＜0.05)and GCS and β have medium diagnostic performance(P＜0.05).ROC curve analysis showed that the early warning values of myocardial microcirculation disorders were-17.63%(GLS),-21.55%(GCS),0.845 s-1(β),7.045 dB/s(Aβ)in patients with T2DM.Conclusion The mechanical strain and perfusion of myocar-dium in T2DM patients have already decreased even no lesion was shown in the peripheral micro-vessels.2D-STE combined with MCE can assess the changes of myocardial elasticity and microcirculation in T2DM in real time,which is helpful for early clinical diagnosis of diabetes cardiomyopathy and intervention guidance.

DNA genetic markers have always played important roles in individual identification, kinship analysis, ancestry inference and phenotype characterization in the field of forensic medicine. DNA methylation has unique advantages in biological age inference, body fluid identification and prediction of phenotypes. The majority of current studies independently examine DNA and DNA methylation markers using various workflows, and they use various analytical procedures to interpret the biological information these two markers present. Integrated methods detect DNA and DNA methylation markers simultaneously through a single experimental workflow using the same preparation of sample. Therefore, they can effectively reduce consumption of time and cost, streamline experimental procedures, and preserve valuable DNA samples taken from crime scenes. In this paper, the integrated detection approaches of DNA and DNA methylation markers on different detection platforms were reviewed. In order to convert methylation modifications to detectable forms, several options were available for pretreatment of genomic DNA, including digestion with methylation-sensitive restriction enzyme, affinity enrichment of methylated fragments, conversion of methylated or unmethylated cytosine. Multiplexed primers can be designed for DNA markers and converted DNA methylation markers for co-amplification. The schemes of using capillary electrophoresis platform for integrated detection add the pretreatment of genomic DNA on the basis of detecting DNA genetic markers. DNA and DNA methylation markers are then integrated by co-amplification. But the limited number of fluorescent options available and the length of amplicons restrict the type and quantity of markers that can be integrated into a panel. Pyrophosphate sequencing also supports integrated detection of DNA and DNA methylation markers. On this platform, due to the conversion of unmethylated cytosine to thymine after treatment with bisulfite, the methylation level of CpG site can be directly calculated using the peak height ratio of cytosine bases and thymine bases. Therefore, the methylation levels and SNP typing can be simultaneously obtained. However, due to the limited read length of sequencing, the detection of markers with longer amplicons is restricted. It is not conducive to fully interpret the complete information of the target sequence. Next-generation sequencing also supports integrated detection of DNA and DNA methylation markers. A preliminary experimental process including DNA extraction, pretreatment of genomic DNA, co-preparation of DNA and DNA methylation library and co-sequencing, has been formed based on the next-generation sequencing platform. It confirmed the feasibility of next-generation sequencing technology for integrated detection of DNA and DNA methylation markers. In field of biomedicine, various integrated detection schemes and corresponding data analysis approaches of DNA and DNA genetic markers developed based on the above detection process.Co-analysis can simultaneously obtain the genomic genetic and epigenetic information through a single analytic process. These schemes suggest that next-generation sequencing may be an effective method for achieving more accurate and highly integrated detection, helping to explore the potential for application in forensic biological samples. We finally explore the impact of interactions between sites and different pretreatment methods on the integrated detection of DNA and DNA methylation markers, and also propose the challenge of applying third-generation sequencing for integrated detection in forensic samples.