Objective:To evaluate the diagnostic value of intestinal tissue metagenomic next-generation sequencing (mNGS) in severe diarrhea following haploidentical allogeneic hematopoietic stem cell transplantation (allo-HSCT) .Methods:Sixteen patients who developed severe diarrhea or hematochezia after haploidentical allo-HSCT at the First Affiliated Hospital of Fujian Medical University (June 2023–August 2024) were enrolled. All underwent gastrointestinal endoscopy and mNGS for microbial detection. Clinical, endoscopic, pathological, and microbiological data were analyzed to evaluate the diagnostic value of mNGS and treatment outcomes following targeted therapy.Results:The study included 16 patients (12 males, 4 females; median age 32.5 years, range 3–60 years). Diarrhea occurred a median of 3.93 months post-transplant (range 1.63–10.40 months). Stool cultures were negative except for one case with Candida. One patient tested positive for Clostridium difficile antigen. Endoscopy revealed mucosal congestion, edema, erosion, and bleeding, with focal inflammation on pathology. mNGS detected pathogens in 87.5% (14/16) of cases, including mixed infections in 78.5% (11/14). Common pathogens were Klebsiella pneumoniae, Enterococcus faecium, Escherichia coli, Rhizopus microsporus, EBV, and CMV. Targeted treatment adjustments led to symptom improvement in 87.5% of patients.Conclusion:Allo-HSCT patients are prone to infectious diarrhea due to immunosuppression. Molecular analysis of endoscopic biopsy tissues using mNGS can accurately identify pathogens, guide targeted therapy, and improve clinical outcomes.

Objective:To investigate the diagnostic value of metagenomic next-generation sequencing (mNGS) for pyogenic spinal infections.Methods:A total of 255 patients diagnosed with pyogenic spinal infections were enrolled between September 2022 and September 2024 at Qingdao University Affiliated Hospital, Fuzhou Second General Hospital, First Affiliated Hospital of Nanchang University, Shandong University Affiliated Public Health Clinical Center, and the Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine. Among them, 155 were male and 100 were female, with an average age of 62.5±14.2 years (ranging from 13 to 90 years). All patients had samples of infected tissue and/or pus collected for microbial culture and mNGS testing. The number, types, and positive rates of pathogens detected by microbial culture and mNGS were compared. Using culture results as the gold standard, receiver operating characteristic (ROC) curve analysis was performed for mNGS testing and the combined method of mNGS and microbial culture, calculating the area under the curve (AUC) and 95% CI. Results:All 255 cases were clinically diagnosed as pyogenic spinal infections, with 194 cases providing microbiological evidence. The most common Gram-positive bacterium was Staphylococcus aureus, while the most common Gram-negative bacterium was Escherichia coli. A total of 33 pathogenic microorganisms were detected by mNGS, while microbial culture detected 18 pathogenic microorganisms. The positive rate of mNGS was 72.2% (184 out of 255), which was significantly higher than that of 30.2% (77 out of 255) for microbial culture, showing a significant difference (χ 2=90.150, P<0.001); the positive rate of mNGS combined with microbial culture was 76.1% (194 out of 255) with significant difference compared to mNGS alone (χ 2=8.100, P<0.001). Among 178 culture-negative samples, the detection rate of mNGS was 65.7% (117 out of 178); among 77 culture-positive samples, the detection rate of mNGS was 87.0% (67 out of 77), and 97.0% (65 out of 67) of the detected pathogens matched the culture results at the species level. The AUCs of the ROC curves for mNGS testing and the combination of mNGS with microbial culture were 0.606 [95% CI (0.534, 0.678)] and 0.671 [95% CI (0.606, 0.736)], respectively, with significant differences compared to microbial culture ( P=0.007; P=0.007). Conclusions:mNGS demonstrates superior performance over conventional culture in identifying pathogens in pyogenic spinal infections. Moreover, combining mNGS with culture further improves diagnostic yield, supporting its integration into clinical practice.

Traditional Chinese medicine(TCM) decoction pieces are a core carrier for the inheritance and innovation of TCM, and their quality and safety are critical to public health and the sustainable development of the industry. Conventional quality control models, while having established a well-developed system through long-term practice, still face challenges such as relatively long inspection cycles, insufficient objectivity in characterizing complex traits, and urgent needs for improving the efficiency of integrating multidimensional quality information when confronted with the dual demands of large-scale production and precision quality control. With the rapid development of artificial intelligence, machine learning can deeply analyze multidimensional data of the morphology, spectroscopy, and chemical fingerprints of decoction pieces by constructing high-dimensional feature space analysis models, significantly improving the standardization level and decision-making efficiency of quality evaluation. This article reviews the research progress in the application of machine learning in the processing, production, and rapid quality evaluation of TCM decoction pieces. It further analyzes current challenges in technological implementation and proposes potential solutions, offering theoretical and technical references to advance the digital and intelligent transformation of the industry.
Machine Learning ; Drugs, Chinese Herbal/standards* ; Quality Control ; Medicine, Chinese Traditional/standards* ; Humans

Objective:To investigate the diagnostic value of metagenomic next-generation sequencing (mNGS) for pyogenic spinal infections.Methods:A total of 255 patients diagnosed with pyogenic spinal infections were enrolled between September 2022 and September 2024 at Qingdao University Affiliated Hospital, Fuzhou Second General Hospital, First Affiliated Hospital of Nanchang University, Shandong University Affiliated Public Health Clinical Center, and the Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine. Among them, 155 were male and 100 were female, with an average age of 62.5±14.2 years (ranging from 13 to 90 years). All patients had samples of infected tissue and/or pus collected for microbial culture and mNGS testing. The number, types, and positive rates of pathogens detected by microbial culture and mNGS were compared. Using culture results as the gold standard, receiver operating characteristic (ROC) curve analysis was performed for mNGS testing and the combined method of mNGS and microbial culture, calculating the area under the curve (AUC) and 95% CI. Results:All 255 cases were clinically diagnosed as pyogenic spinal infections, with 194 cases providing microbiological evidence. The most common Gram-positive bacterium was Staphylococcus aureus, while the most common Gram-negative bacterium was Escherichia coli. A total of 33 pathogenic microorganisms were detected by mNGS, while microbial culture detected 18 pathogenic microorganisms. The positive rate of mNGS was 72.2% (184 out of 255), which was significantly higher than that of 30.2% (77 out of 255) for microbial culture, showing a significant difference (χ 2=90.150, P<0.001); the positive rate of mNGS combined with microbial culture was 76.1% (194 out of 255) with significant difference compared to mNGS alone (χ 2=8.100, P<0.001). Among 178 culture-negative samples, the detection rate of mNGS was 65.7% (117 out of 178); among 77 culture-positive samples, the detection rate of mNGS was 87.0% (67 out of 77), and 97.0% (65 out of 67) of the detected pathogens matched the culture results at the species level. The AUCs of the ROC curves for mNGS testing and the combination of mNGS with microbial culture were 0.606 [95% CI (0.534, 0.678)] and 0.671 [95% CI (0.606, 0.736)], respectively, with significant differences compared to microbial culture ( P=0.007; P=0.007). Conclusions:mNGS demonstrates superior performance over conventional culture in identifying pathogens in pyogenic spinal infections. Moreover, combining mNGS with culture further improves diagnostic yield, supporting its integration into clinical practice.

Objective:To evaluate the diagnostic value of intestinal tissue metagenomic next-generation sequencing (mNGS) in severe diarrhea following haploidentical allogeneic hematopoietic stem cell transplantation (allo-HSCT) .Methods:Sixteen patients who developed severe diarrhea or hematochezia after haploidentical allo-HSCT at the First Affiliated Hospital of Fujian Medical University (June 2023–August 2024) were enrolled. All underwent gastrointestinal endoscopy and mNGS for microbial detection. Clinical, endoscopic, pathological, and microbiological data were analyzed to evaluate the diagnostic value of mNGS and treatment outcomes following targeted therapy.Results:The study included 16 patients (12 males, 4 females; median age 32.5 years, range 3–60 years). Diarrhea occurred a median of 3.93 months post-transplant (range 1.63–10.40 months). Stool cultures were negative except for one case with Candida. One patient tested positive for Clostridium difficile antigen. Endoscopy revealed mucosal congestion, edema, erosion, and bleeding, with focal inflammation on pathology. mNGS detected pathogens in 87.5% (14/16) of cases, including mixed infections in 78.5% (11/14). Common pathogens were Klebsiella pneumoniae, Enterococcus faecium, Escherichia coli, Rhizopus microsporus, EBV, and CMV. Targeted treatment adjustments led to symptom improvement in 87.5% of patients.Conclusion:Allo-HSCT patients are prone to infectious diarrhea due to immunosuppression. Molecular analysis of endoscopic biopsy tissues using mNGS can accurately identify pathogens, guide targeted therapy, and improve clinical outcomes.

Volume electron microscopy (vEM) imaging technology was rapidly developed in recent years. It has been the advanced technology to solve high-resolution three-dimensional structures of biological samples. Much wonderful work has revealed the fine structure and interactions of intracellular organelles, the ultrastructure of tissues, and even the three-dimensional structure of entire small biological organisms. With the continuous improvement of resolution, scale and throughput, vEM is becoming more and more widely used in medicine, life sciences, clinical diagnostics and other fields. As a result, this technology has been rated by Nature as one of the seven most noteworthy frontier technologies to watch in 2023. However, the development and application of vEM-related technologies started late in China and need to be further promoted. We write this review to introduce all related vEM technologies, covering the development history of vEM, technology classification, sample preparation, data collection, image processing, etc., which is convenient for people in various fields to understand, learn, apply and further develop this technology.

Objective To investigate the predictive value of combined plasma gluconic acid(GA),fumaric acid(FA),and pseudouridine levels at admission for acute kidney injury(AKI)in elderly patients with acute myocardial infarction(AMI).Methods A total of 78 elderly AMI patients transferred from Emergency Department to Coronary Care Unit in Fuwai Hospital during Decem-ber 2021 and July 2022 were enrolled in this prospective study.They were divided into AKI group(40 cases)and non-AKI group(38 cases)according to whether they developed AKI during hospi-talization.Plasma levels of GA,FA and pseudouridine were quantitatively detected with liquid chromatography-tandem mass spectrometry.ROC curve was plotted to assess the predictive value of these three plasma metabolites for AKI in AMI patients.Multivariate logistic regression analy-sis was applied to analyze the clinical risk factors for AKI.Results There were no statistical differences in the plasma levels of GA,FA and pseudouridine between the AKI group and the non-AKI group(P＞0.05).ROC curve analysis revealed that the plasma levels of the three indicators had no predictive value for the development of AKI in elderly AMI patients(AUC=0.576,95％CI:0.449-0.704,P=0.246;AUC=0.595,95％CI:0.467--0.721,P=0.154;AUC=0.563,95％CI:0.435-0.692,P=0.337).Multivariate logistic regression analysis revealed that left ventricu-lar ejection fraction(LVEF)was an independent predictor for AKI development in elderly AMI patients(OR=0.923,95％CI:0.870-0.978,P=0.007).Conclusion Plasma GA,FA and pseud-ouridine cannot predict the development of AKI in elderly AMI patients,while,LVEF is an inde-pendent predictor for the development.

To investigate the factors affecting the sperm retrieval rate of microdissection testicular sperm extraction (micro-TESE) in patients with nonmosaic Klinefelter syndrome (KS), 64 patients with nonmosaic KS who underwent micro-TESE in the Center for Reproductive Medicine of Peking University Third Hospital (Beijing, China) between January 2016 and December 2017 were included in the study. Data on medical history, physical examination and laboratory examination results, and micro-TESE outcomes were collected. Patients were divided into two groups according to micro-TESE outcomes. The following factors were compared between the two groups by the Mann‒Whitney U test or Student's t-test based on the distribution (nonnormal or normal) of the factors: age, testicular size, follicle-stimulating hormone level, luteinizing hormone level, testosterone level, and anti-Müllerian hormone level. The overall success rate of sperm retrieval was 50.0%. Correlation analysis showed that testicular volume was positively correlated with testosterone level. Using a logistic regression model, age and anti-Müllerian hormone levels were found to be better predictors for the sperm retrieval rate than the other parameters.
Humans ; Male ; Sperm Retrieval ; Klinefelter Syndrome ; Microdissection ; Anti-Mullerian Hormone ; Semen ; Testis ; Spermatozoa ; Testosterone ; Azoospermia ; Retrospective Studies

This study explored the correlation between color and chemical components of Chrysanthemi Indici Flos(CIF), aiming at providing a reference for its procurement, evaluation, and breeding. Colorimeter and ultra-performance liquid chromatograph(UPLC) were used to determine the color(lightness-shade chromaticity value L~*, red-green chromaticity value a~*, yellow-blue chromati-city value b~*) and chemical components(cynaroside, linarin, luteolin, apigenin, and chlorogenic acid) of 84 CIF germplasms, respectively. Diversity analysis, correlation analysis, regression analysis, and cluster analysis were performed. The results showed that the color and chemical components of CIF were diversified. Chlorogenic acid was in significantly positive correlation with L~* and b~* and significantly negative correlation with a~*. Cynaroside and grey relational grade γ_i of chemical components were in significantly po-sitive correlation with b~* and L~*, respectively, whereas linarin, luteolin, and apigenin had no significant correlation with L~*, a~*, or b~*. The 84 CIF germplasms were clustered into 4 clades. In addition, germplasms in clade Ⅲ had higher γ_i and total color value(E~*_(ab)) than those in other clades, with the best quality and color, and a germplasm with the highest quality, bright yellow color, and highest content of linarin was screened out in this clade. Thus, CIF with bright yellow color had high content of cymaroside and chlorogenic acid and thereby high quality. In summary, the color can be used to quickly predict the quality of CIF. Our results provided data for the evaluation of CIF quality by color and a reference for its procurement and breeding.
Chrysanthemum/chemistry* ; Luteolin/analysis* ; Chlorogenic Acid/analysis* ; Apigenin/analysis* ; Plant Breeding ; Excipients ; Chromatography, High Pressure Liquid/methods*

Circular RNAs (circRNAs) are highly conserved and ubiquitously expressed noncoding RNAs that participate in multiple reproduction-related diseases. However, the expression pattern and potential functions of circRNAs in the testes of patients with non-obstructive azoospermia (NOA) remain elusive. In this study, according to a circRNA array, a total of 37 881 circRNAs were identified that were differentially expressed in the testes of NOA patients compared with normal controls, including 19 874 upregulated circRNAs and 18 007 downregulated circRNAs. Using quantitative real-time polymerase chain reaction (qRT-PCR) analysis, we confirmed that the change tendency of some specific circRNAs, including hsa_circ_0137890, hsa_circ_0136298, and hsa_circ_0007273, was consistent with the microarray data in another larger sample. The structures and characteristics of these circRNAs were confirmed by Sanger sequencing, and fluorescence in situ hybridization revealed that these circRNAs were primarily expressed in the cytoplasm. Bioinformatics analysis was used to construct the competing endogenous RNA (ceRNA) network, and numerous miRNAs that could be paired with circRNAs validated in this study were reported to be vital for spermatogenesis regulation. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses indicated that genes involved in axoneme assembly, microtubule-based processes, and cell proliferation were significantly enriched. Our data suggest that there are aberrantly expressed circRNA profiles in patients with NOA and that these circRNAs may help identify key diagnostic and therapeutic molecular biomarkers for NOA patients.
Male ; Humans ; RNA, Circular/genetics* ; Azoospermia/genetics* ; In Situ Hybridization, Fluorescence ; MicroRNAs/metabolism*