Background Under intensive dairy farming conditions, Enterococcus spp. can be transmitted between animals, farm workers, and the environment via multiple vectors such as feces, soil, water, air, and farming equipment, posing a potential threat to public health. Objective To elucidate the prevalence, distribution, and antimicrobial resistance profiles of Enterococcus faecalis (E. faecalis) and Enterococcus faecium (E. faecium) among farm workers, dairy cattle, and the farm environment in Xinjiang, and to assess the risk of their cross-host transmission. Methods From May 2024 to January 2025, a total of 317 samples were collected from 11 large-scale dairy farms in Xinjiang, China, including feces from farm workers (n=130) and dairy cattle (n=154), and environmental samples (n=33). E. faecalis and E. faecium were isolated and identified, followed by antimicrobial susceptibility testing and multilocus sequence typing (MLST) to analyze their molecular characteristics. Results A total of 183 Enterococcus isolates were obtained (66 E. faecalis and 117 E. faecium isolated). The isolation rates of both species showed statistically significant differences among the three sources (χ²=29.21, P=0.003). Antimicrobial resistance analysis revealed that E. faecalis generally exhibited higher resistance rates across multiple antibiotic classes than E. faecium. High resistance to rifampicin was observed across all sources (50.00%–81.25%), with statistical variation among origins (χ²=8.03, P=0.024). Multidrug-resistant strains accounted for 69.10% of the isolates. Multidrug resistance patterns in E. faecium varied significantly by source (χ²=27.19, P=0.014), and one isolate displayed resistance to eight antibiotic classes. MLST indicated high genetic diversity; E. faecalis was dominated by ST472 and ST227 of which the distrubution was significantly different among sources, while E. faecium primarily clustered into clonal complexes CC94 (centered on ST94) and CC17 (centered on ST22). Conclusion Resistant Enterococcus strains exhibit cross-transmission among farm workers, animals, and the environment. Under the "One Health" framework, standardized farming protocols and prudent antimicrobial use are essential to disrupt the transmission chain of resistant clones and mitigate the spread of antimicrobial resistance at its source.

Background Under intensive dairy farming conditions, Enterococcus spp. can be transmitted between animals, farm workers, and the environment via multiple vectors such as feces, soil, water, air, and farming equipment, posing a potential threat to public health. Objective To elucidate the prevalence, distribution, and antimicrobial resistance profiles of Enterococcus faecalis (E. faecalis) and Enterococcus faecium (E. faecium) among farm workers, dairy cattle, and the farm environment in Xinjiang, and to assess the risk of their cross-host transmission. Methods From May 2024 to January 2025, a total of 317 samples were collected from 11 large-scale dairy farms in Xinjiang, China, including feces from farm workers (n=130) and dairy cattle (n=154), and environmental samples (n=33). E. faecalis and E. faecium were isolated and identified, followed by antimicrobial susceptibility testing and multilocus sequence typing (MLST) to analyze their molecular characteristics. Results A total of 183 Enterococcus isolates were obtained (66 E. faecalis and 117 E. faecium isolated). The isolation rates of both species showed statistically significant differences among the three sources (χ²=29.21, P=0.003). Antimicrobial resistance analysis revealed that E. faecalis generally exhibited higher resistance rates across multiple antibiotic classes than E. faecium. High resistance to rifampicin was observed across all sources (50.00%–81.25%), with statistical variation among origins (χ²=8.03, P=0.024). Multidrug-resistant strains accounted for 69.10% of the isolates. Multidrug resistance patterns in E. faecium varied significantly by source (χ²=27.19, P=0.014), and one isolate displayed resistance to eight antibiotic classes. MLST indicated high genetic diversity; E. faecalis was dominated by ST472 and ST227 of which the distrubution was significantly different among sources, while E. faecium primarily clustered into clonal complexes CC94 (centered on ST94) and CC17 (centered on ST22). Conclusion Resistant Enterococcus strains exhibit cross-transmission among farm workers, animals, and the environment. Under the "One Health" framework, standardized farming protocols and prudent antimicrobial use are essential to disrupt the transmission chain of resistant clones and mitigate the spread of antimicrobial resistance at its source.

The objective of this study was to develop a rapid and precise detection technique for por-cine Senecavirus A(SVA)employing reverse transcription recombinase polymerase amplification(RT-RAA)in conjunction with CRISPR Cas13a technology.Additionally,the study aimed to opti-mize the assay's reaction conditions to enhance amplification efficiency.Eight RT-RAA primer sets were designed based on the conserved gene sequence of porcine SVA,and a series of reaction condi-tions were evaluated to refine the RT-RAA reaction system.Subsequently,CRISPR-derived RNA(crRNA)sequences were developed and selected to construct the RT-RAA-CRISPR reaction sys-tem.The method's specificity was determined by examining six prevalent porcine pathogenic nucleic acids,while its sensitivity was assessed using SVA cRNA standards quantified by digital PCR.The method's stability and the consistency of clinical sample analysis were also evaluated.The findings revealed that the optimized RT-RAA and CRISPR reaction systems exhibited the highest amplifi-cation efficiency at a reaction temperature of 37 ℃.Among the eight crRNAs,five were identified as exhibiting the strongest detection signals.The formulated RT-RAA-CRISPR Cas13a method demonstrated exceptional specificity,showing no cross-reactivity with other common porcine disea-ses,including ASFV,PRRSV,PEDV,PCV2,CSFV,and PRV.The method achieved high sensitivi-ty,detecting as low as 0.86 copies/μL of SVA,and exhibited stable fluorescence output,robust re-producibility,and the ability to complete clinical sample analysis within 50 minutes.Consistency e-valuation with six positive and 58 negative samples indicated 100％agreement in outcomes.These results substantiate that the study successfully established a rapid and specific RT-RAA-CRISPR Cas13a detection method for the on-site identification of porcine Senecavirus A,demonstrating high specificity and sensitivity,and holds promise for application in SVA monitoring and control initia-tives.

The objective of this study was to develop a rapid and precise detection technique for por-cine Senecavirus A(SVA)employing reverse transcription recombinase polymerase amplification(RT-RAA)in conjunction with CRISPR Cas13a technology.Additionally,the study aimed to opti-mize the assay's reaction conditions to enhance amplification efficiency.Eight RT-RAA primer sets were designed based on the conserved gene sequence of porcine SVA,and a series of reaction condi-tions were evaluated to refine the RT-RAA reaction system.Subsequently,CRISPR-derived RNA(crRNA)sequences were developed and selected to construct the RT-RAA-CRISPR reaction sys-tem.The method's specificity was determined by examining six prevalent porcine pathogenic nucleic acids,while its sensitivity was assessed using SVA cRNA standards quantified by digital PCR.The method's stability and the consistency of clinical sample analysis were also evaluated.The findings revealed that the optimized RT-RAA and CRISPR reaction systems exhibited the highest amplifi-cation efficiency at a reaction temperature of 37 ℃.Among the eight crRNAs,five were identified as exhibiting the strongest detection signals.The formulated RT-RAA-CRISPR Cas13a method demonstrated exceptional specificity,showing no cross-reactivity with other common porcine disea-ses,including ASFV,PRRSV,PEDV,PCV2,CSFV,and PRV.The method achieved high sensitivi-ty,detecting as low as 0.86 copies/μL of SVA,and exhibited stable fluorescence output,robust re-producibility,and the ability to complete clinical sample analysis within 50 minutes.Consistency e-valuation with six positive and 58 negative samples indicated 100％agreement in outcomes.These results substantiate that the study successfully established a rapid and specific RT-RAA-CRISPR Cas13a detection method for the on-site identification of porcine Senecavirus A,demonstrating high specificity and sensitivity,and holds promise for application in SVA monitoring and control initia-tives.

Objective:To screen key differentially expressed genes(DEGs)in dead mice with sepsis by spleen high-through-put sequencing combined with bioinformatics.Methods:①A mouse sepsis model was set up by intraperitoneal injection of lipopolysac-charide(LPS),a 7-day survival curve of mice was drawn,and the modeling doses of survival group and death group were screened out.②Expressions of TNF-α,IL-1β,IL-6 and IL-10 in peripheral blood of mice in control group,survival group and death group were verified by ELISA.③High-throughput sequencing was conducted on spleens of survival group and death group,and the key genes were screened by bioinformatics analysis of DEGs.④Expressions of key genes and proteins were detected by RT-PCR and Western blot.Results:①LPS dosage in survival group was 15 mg/kg(with a mortality of 30%),and LPS dosage in death group was 30 mg/kg(with a mortality of 80%).②Expression levels of IL-6,TNF-α and IL-1β in sepsis mice were significantly higher than those of control group,while expression level of IL-10 was decreased(P<0.05).Comparison of sepsis model groups showed that levels of pro-inflammatory factors in death group were higher than those in survival group,while level of IL-10 was lower than that in survival group(P<0.05).③A total of 2999 DEGs in survival group and death group were screened out by bioinformatics,among which 1185 genes were up-regulated and 1814 genes were down-regulated.Top 5 DEGs enrichment pathways were screened out:"hematopoietic cell lineage""primary immunodeficiency""African trypanosomiasis""leishmaniasis"and"B-cell receptor signaling pathway".Ifit1,Ifit3 and Mx1 were three key genes that were screened out.④Compared with survival group,expressions of genes and proteins of Ifit1,Ifit3 and Mx1 were down-regulated in spleen tissues of the death group(P<0.05).Conclusion:By high-throughput sequencing and bioinformatics,Ifit1,Ifit3 and Mx1 are screened out as key genes related to the death outcome of sepsis,which probably influence the outcome of sepsis through the immune mechanism related to virus infection.

Objective To explore the value of multi-parameter spectral CT for differentiating grade G2-3 pancreatic neuroendocrine tumor(pNET)and pancreatic neuroendocrine carcinoma(pNEC).Methods Preoperative double-layer detector spectral CT(DLCT)data of 35 patients with pNET(pNET group,including 25 cases of G2 grade and 10 cases of G3 grade)and 17 patients with pNEC(pNEC group)were retrospectively analyzed.Conventional CT and spectral CT parameters were compared between groups,and those being significant different between groups according to univariate analysis were respectively incorporated into multivariate logistic regression to select the independent predictors for identifying grade G2-3 pNET and pNEC.Conventional CT model and spectral CT model were constructed,and the combined model was constructed based on the two.The efficacy of each model for distinguishing grade G2-3 pNET and pNEC was evaluated.Results CT values of lesions during venous phase(OR=0.939,P=0.025)and vascular invasion(OR=5.049,P=0.027)shown on conventional CT were both independent predictors,and conventional CT model was constructed,its area under the curve(AUC)for distinguishing grade G2-3 pNET and pNEC was 0.808.Normalized iodine concentration during venous phase(OR=0.603)and normalized effective atomic number during venous phase(OR=0.847)on spectral CT were both independent predictors(both P＜0.05),and spectral CT model was constructed.The AUC of spectral CT model was 0.894,higher than that of conventional CT model(Z=2.127,P=0.033).The AUC of combined model was 0.924,higher than that of conventional CT model(Z=2.302,P=0.021)but not significantly different with that of spectral CT model(Z=0.827,P=0.408).Conclusion Multi-parameter spectral CT could effectively differentiate grade G2-G3 grade pNET and pNEC.

Bacteremia induced by periodontal infection is an important factor for periodontitis to threaten general health. P. gingivalis DNA/virulence factors have been found in the brain tissues from patients with Alzheimer's disease (AD). The blood-brain barrier (BBB) is essential for keeping toxic substances from entering brain tissues. However, the effect of P. gingivalis bacteremia on BBB permeability and its underlying mechanism remains unclear. In the present study, rats were injected by tail vein with P. gingivalis three times a week for eight weeks to induce bacteremia. An in vitro BBB model infected with P. gingivalis was also established. We found that the infiltration of Evans blue dye and Albumin protein deposition in the rat brain tissues were increased in the rat brain tissues with P. gingivalis bacteremia and P. gingivalis could pass through the in vitro BBB model. Caveolae were detected after P. gingivalis infection in BMECs both in vivo and in vitro. Caveolin-1 (Cav-1) expression was enhanced after P. gingivalis infection. Downregulation of Cav-1 rescued P. gingivalis-enhanced BMECs permeability. We further found P. gingivalis-gingipain could be colocalized with Cav-1 and the strong hydrogen bonding between Cav-1 and arg-specific-gingipain (RgpA) were detected. Moreover, P. gingivalis significantly inhibited the major facilitator superfamily domain containing 2a (Mfsd2a) expression. Mfsd2a overexpression reversed P. gingivalis-increased BMECs permeability and Cav-1 expression. These results revealed that Mfsd2a/Cav-1 mediated transcytosis is a key pathway governing BBB BMECs permeability induced by P. gingivalis, which may contribute to P. gingivalis/virulence factors entrance and the subsequent neurological impairments.
Animals ; Rats ; Bacteremia/metabolism* ; Blood-Brain Barrier/microbiology* ; Caveolin 1/metabolism* ; Gingipain Cysteine Endopeptidases/metabolism* ; Permeability ; Porphyromonas gingivalis/pathogenicity* ; Transcytosis ; Virulence Factors/metabolism*

Objective:To investigate the drug-resistant mutations of human immunodeficiency virus-1 (HIV-1) in patients who received highly active antiretroviral therapy (HAART) from 2014 to 2018.Methods:A total of 880 patients with HIV-1 infection who had been treated with HAART for more than six months in Chongqing Infectious Disease Medical Center from May 2014 to December 2018 were enrolled. Plasma samples were collected, and one-step reverse transcription-polymerase chain reaction (PCR) and nested PCR were taken to amplify protease and reverse transcriptase regions of HIV-1 pol gene region. The obtained amplified nucleotide sequences were compared with the drug resistance database for antiviral drug resistance analysis. Viral genotyping tool software was used to analyze HIV-1 subtype distribution. The categorical variables were compared using chi-square test. Results:Among 880 patients, the plasma HIV-1 viral load was (4.12±0.63) lg copies/mL, the CD4 + T lymphocyte count was (251±124)/μL, and the median duration of antiviral therapy was 26 months. In the subtypes analysis, the circulating recombinant form (CRF) 01-AE subtype was the largest proportion of HIV-1 subtypes, accounting for 38.9%(342/880), and the CRF07-BC subtype accounted for 28.5%(251/880), B+ C subtypes accounted for 16.2%(143/880). Drug-resistant mutations were detected in 534 patients, with a total drug resistance rate of 60.7%. The drug resistance rates of nucleoside reverse transcriptase inhibitors (NRTI), non-nucleoside reverse transcriptase inhibitors (NNRTI) and protease inhibitors (PI) were 51.0%(449/880), 58.6%(516/880) and 1.7%(15/880), respectively. The drug resistances to lamivudine, emtricitabine, efavirenz, and nevirapine were serious, and the medium/high resistance rates were 46.8%(412/880), 46.8%(412/880), 51.3%(451/880), and 53.6%(472/880), respectively, while those to zidomidudine (6.0%, 53/880), etravirin (9.0%, 451/880) and PI were not serious. M184IV (47.3%), K65R (22.2%) and K70RE (12.6%) were the most frequent mutations for NRTI. K103NS (25.1%), V106A (19.7%) and V179DE (14.4%) were the most frequent mutations for NNRTI. The most common drug-resistant mutations for PI were L10FIV (7.4%) and A71IVT (6.5%). The drug resistance rate of CRF01-AE subtype (69.3%, 237/342) was higher than those of CRF07-BC subtype (49.8%, 125/251) and B+ C subtype (51.0%, 73/143), the differences were statistically significant ( χ2=22.6 and 14.6, respectively, both P<0.05). Conclusions:The incidence of drug resistance is high among HIV-1 infected patients after six-month HAART treatment in Chongqing City. The drug resistance to NNRTI is the most common, followed by NRTI, while PI is less resistant. Drug resistance is the main reason for the virological breakthrough in HIV-1 infected patients.

Surgical resection is the best method for patients with colorectal cancer liver metastases. However, tumor recurrence rate is still high after surgery. Preoperative chemotherapy can help shrink the tumor, test biological behavior, and reduce recurrence rate; but it may also cause liver injury and delay surgery. There is still controversy whether neoadjuvant chemotherapy should be performed and how to select patients from chemotherapy before surgery. Thus, in this article, combined the research progress and the clinical experience of author's center, we discuss this issue in 4 aspects: the development of neoadjuvant chemotherapy; the indications and guideline recommendation for neoadjuvant chemotherapy; the selection of neoadjuvant chemotherapy regimens; common problems in neoadjuvant chemotherapy.

When faced with a case of bilateral breast cancer (BBC), understanding how to differentiate bilateral primary breast cancer from contralateral metastatic breast cancer is essential for treatment, but clear identification criteria have not been established to date. Diverse events play different roles in the therapy and prognosis of BBC; hence, it is of great significance to detect a more comprehensive and convincing technique to make an accurate differential diagnosis. We report a rare case of synchronous BBC in a 61-year-old Chinese woman. Based on her clinical and pathological features and the use of whole exome sequencing and cancer genome analysis, we concluded that the patient developed contralateral metastatic breast cancer which metastasized from left to right. Therefore, together with clinical, pathological and cancer genomics information, we could precisely define the origin and evolution of BBC.
Asian Continental Ancestry Group ; Breast Neoplasms ; Breast ; Diagnosis ; Diagnosis, Differential ; Exome ; Female ; Genome ; Genomics ; Humans ; Middle Aged ; Neoplasm Metastasis ; Prognosis