Effective annotation of in vivo drug metabolites using liquid chromatography-mass spectrometry (LC-MS) remains a formidable challenge. Herein, a metabolic reaction-based molecular networking (MRMN) strategy is introduced, which enables the "one-pot" discovery of prototype drugs and their metabolites. MRMN constructs networks by matching metabolic reactions and evaluating MS² spectral similarity, incorporating innovations and improvements in feature degradation of MS² spectra, exclusion of endogenous interference, and recognition of redundant nodes. A minimum 75% correlation between structural similarity and MS² similarity of neighboring metabolites was ensured, mitigating false negatives due to spectral feature degradation. At least 79% of nodes, 49% of edges, and 97% of subnetworks were reduced by an exclusion strategy of endogenous ions compared to the Global Natural Products Social Molecular Networking (GNPS) platform. Furthermore, an approach of redundant ions identification was refined, achieving a 10%-40% recognition rate across different samples. The effectiveness of MRMN was validated through a single compound, plant extract, and mixtures of multiple plant extracts. Notably, MRMN is freely accessible online at https://yaolab.network, broadening its applications.

Five novel nor-eremophilane-type sesquiterpenoids, peniroqueforins E-H and J (1-4 and 7), two new eremophilane-type sesquiterpenoids, peniroqueforins I and K (5 and 8), and a new eudesmane-type sesquiterpenoid, peniroqueforin L (9), along with four known compounds (6 and 10-12), were isolated and characterized from fungus Penicillium roqueforti (P. roqueforti). The structures and absolute configurations of these compounds were determined through comprehensive spectroscopic analyses, electronic circular dichroism (ECD) data analyses, and single-crystal X-ray diffraction methods. The anti-multi-drug resistance (MDR) cancer activity of these compounds was evaluated using SW620/Ad300 cells. Notably, the half maximal inhibitory concentration (IC₅₀) value of paclitaxel (PTX) combined with 1 in SW620/Ad300 cells was 50.36 nmol·L^-1, which was 65-fold more potent than PTX alone (IC₅₀ 3.26 μmol·L^-1). Subsequent molecular docking studies revealed an affinity between compound 1 and P-glycoprotein (P-gp), suggesting that this nor-eremophilane-type sesquiterpenoid (1) could serve as a potential lead for MDR reversal in cancer cells through P-gp inhibition.
Penicillium/chemistry* ; Humans ; Sesquiterpenes/isolation & purification* ; Cell Line, Tumor ; Molecular Structure ; Drug Resistance, Neoplasm/drug effects* ; Antineoplastic Agents/pharmacology* ; Drug Resistance, Multiple/drug effects* ; Molecular Docking Simulation

ObjectiveTo analyze the reported incidence rate of pulmonary tuberculosis and diagnosis and treatment of pulmonary tuberculosis patients in Jing’an District, Shanghai from 2018 to 2023, and to provide a reference basis for the prevention and treatment of pulmonary tuberculosis. MethodsMedical records, including demographic information, diagnosis and treatment information, laboratory testing results, treatment outcomes, patient prognoses, and etc., of all the patients registered for first-time management, with the disease type of pulmonary tuberculosis in Jing’an District from January 1, 2018 to December 31, 2023 were extracted from the Tuberculosis Management Information System of China’s Disease Control and Prevention Information System.The reported incidence rate of pulmonary tuberculosis from 2018 to 2023 was analyzed. Additionally, the delay rate for medical consultation, diagnostic delay rate, prevalence of pulmonary cavity, rate of sputum smear-positive, sputum conversion rate of smear-positive patients after 2 months, proportion of deaths attributable to pulmonary tuberculosis or other causes, and the proportion of patients with treatment duration >1 year in 2018‒2019, 2020‒2022, and 2023 were compared, respectively. ResultsA total of 1 378 pulmonary tuberculosis patients were registered for management in Jing’an District in 2018‒2023, with a reported incidence rate of 25.97/100 000, 25.72/100 000, 23.93/100 000, 22.36/100 000, 18.18/100 000, and 22.32/100 000, respectively. Meanwhile, the overall reported incidence rates in 2018‒2019, 2020‒2022, and 2023 were 25.84/100 000, 21.53/100 000, and 22.32/100 000, respectively. The median age of the patients was 56 (33, 67) years, with a male-to-female ratio of 1.94∶1. The patients with a household registration of Shanghai accounted for 70.75%, among whom those aged between 61‒<71 years were the majority. Whereas, those aged between 31‒<41 years accounted for a higher proportion in the long-term resident population. The median delay times of patient’s medical consultation, diagnosis, and case-finding were 25 (19, 33) days, 29 (21, 43) days, and 41 (32, 66) days, respectively. The delay rate for medical consultation was higher in 2020‒2022 (47.99%) and 2023 (46.89%), but lower in 2018‒2019 (31.02%). In 2018‒2019, 2020‒2022, and 2023, the diagnostic delay rate was 12.41% (68/548), 13.53% (84/621), and 16.75% (35/209), respectively. Besides, during the same time the delay rate in case-finding was 19.53%, 27.05% and 34.45%, respectively, all exhibited an increasing trend. Furthermore, the rate of patients with pulmonary cavity was 16.06%, 14.98%, and 11.00%, respectively, showing a decreasing trend. Furthermore, the rate of sputum smear-positive was 27.19%, 33.33% and 32.54%, while the sputum conversion rate of smear-positive patients after 2 months was 81.21%, 85.02% and 89.71%. The mortality rates due to tuberculosis and other causes were 3.10%, 5.64%, and 3.83%, respectively. The proportion of patients with a treatment duration of ≥365 days was 44.27% in 2018‒2019, 39.93% in 2020‒2022 and 26.60% in 2023. ConclusionThe overall reported incidence rate of pulmonary tuberculosis in Jing’an District showed a decline trend from 2018‒2022, with a slight rebound in 2023. Targeted interventions should be prioritized for the elderly with local household registration and young permanent residents without Shanghai household registration.

Objectives To identify key clinical factors influencing recurrence in osteosarcoma patients,to construct and validate a Nomogram-based recurrence risk prediction model,thereby providing a quantitative tool for clinical decision-making and recurrence prevention/control.Methods Clinical data of 469 osteosarcoma patients admitted to Yunnan Cancer Hospital between 2013～2022 were retrospectively collected.Statistical analysis was performed using R software(version 4.3.2).Potential influencing factors were initially screened via univariate analysis and LASSO regression analysis.Independent predictors of osteosarcoma recurrence were then identified using multivariate logistic regression analysis.Based on the identified independent factors,a Nomogram prediction model for recurrence risk was constructed.The area under the receiver operating characteristic curve(AUC)was used to evaluate the model's discriminative ability.Results Among the entire cohort,68 patients experienced recurrence,yielding a recurrence rate of 14.50%.Multivariate analysis identified the following as independent predictors of recurrence:Primary Tumor Location:Tibial lesions(P=0.009)were associated with a significantly lower recurrence risk compared to femoral lesions(OR=0.297),while lesions in"Other Bones"(P=0.008)carried a significantly higher risk(OR=3.294).Biopsy Method:Needle biopsy(P=0.033)was associated with a significantly lower recurrence risk compared to open biopsy(OR=0.461).Lung Metastasis Status:Patients with lung metastasis(P<0.001)had a significantly higher recurrence risk than those without(OR=11.873).Lymphocyte Count:A higher lymphocyte count(P=0.001)was a protective factor,associated with a lower recurrence risk(OR=0.450).The constructed Nomogram prediction model demonstrated excellent performance:Validation results showed an AUC=0.842(95%CI:0.806～0.875),indicating outstanding discriminative ability.Conclusions This study successfully constructed and validated a Nomogram prediction model for osteosarcoma recurrence risk integrating key clinical factors.The model demonstrates superior discriminative ability and can accurately and quantitatively assess the recurrence risk for individual patients.This tool thus provides critical reference for guiding clinical treatment decisions.

OBJECTIVE: To investigate the clinical phenotypic and genetic characteristics of three children with Paroxysmal kinesigenic dyskinesia (PKD) and Self-limited familial infantile epilepsy (SeLIE) caused by PRRT2 gene mutation. METHODS: Three children with PKD and SeLIE caused by PRRT2 gene mutation (children 1-3) who were treated in the First Affiliated Hospital of Zhengzhou University from November 2022 to August 2023 were selected as the research subjects. A retrospective study was conducted to collect the clinical and family history data of the three children. 2 mL of peripheral venous blood from children 1-3 and parents of children 1-2 were collected (parents of children refused to undergo genetic testing and no blood samples were collected), genomic DNA was extracted, whole exome sequencing (WES) was performed, and Sanger sequencing method was used for verification. According to the Classification Standards and Guidelines for Genetic Variants formulated by the American Society of Medical Genetics and Genomics (ACMG) (hereinafter referred to as the "ACMG Guidelines"), the pathogenicity of the variant loci detected in three children was rated, and the detrimental loci of the variant loci were analyzed by multiple bioinformatics software. This study has been approved by the Ethics Committee of the First Affiliated Hospital of Zhengzhou University (Ethics No. 2024-KY-0881-002). RESULTS: The clinical data and genetic test results of the three children in this study are as follows. Child 1: female, age of onset of 4 months and 10 days, with seizures, manifested as sudden cessation of movements, staring in both eyes, cyanosis of the lips, paleness, and stiffness and shaking of limbs. The results of genetic testing showed that child 1 had maternal PRRT2 gene c.583_584dup (p.P196Afs*34) frameshift variant, which was rated as a pathogenic variant (PVS1 PM2_Supporting PP4) according to ACMG guidelines. According to the clinical manifestations and genetic test results of child 1, he was diagnosed with SeLIE and took oral sodium valproate [0.5 mL/(kg.d)], and was still taking medication at the follow-up of 2 years old, and did not have seizures again after 5 months of age. Child 2: male, age of onset of 10 years old, manifested as dystonia after sudden movement. The results of genetic testing showed that child 2 had PRRT2 gene mutations: paternal c.649dupC (p.R217Pfs*8) frameshift variant and maternal c.445C>A (p.Q149K) mutation. Among them, c.649dupC was a reported pathogenic variant, and according to ACMG guidelines, c.445C>A variant was rated as a variant of unknown clinical significance (PM2_Supporting), with a high probability of benignness. According to the clinical manifestations and genetic test results of the child 2, he was diagnosed with PKD, and was followed up with oral oxcarbazepine 9 mg/(kg.d) until 12 years and 2 months, and was still on the drug, and there was no recurrence of the seizure of the form of dyskinesia after taking the drug. Child 3: male, age of onset of 11 years old, manifested by dystonia after sudden exercise. The results of genetic testing showed that child 3 had a missense variant of PRRT2 gene c.904G>C (p.D302H), and his parents refused genetic testing, and the source of the mutation was unknown, and the variant was rated as a variant of unknown clinical significance (PM2_Supporting+PP3_Moderate+PP4) according to ACMG guidelines. According to the clinical manifestations and genetic test results of child 3, he was diagnosed with PKD, and was treated with oral oxcarbazepine 10 mg/(kg.d) for 1 year and then discontinued on his own, and was followed up at the age of 17, and there was no recurrence of the seizure of the form of movement disorder after taking the drug. CONCLUSION One case of SeLIE and two cases of PKD caused by PRRT2 gene mutations responded well to anti-seizure drugs. In this study, four variant loci of PRRT2 gene were found: c.583_584dup, c.904G>C, c.649dupC, c.445C>A, among which c.583_584dup were new variants, enriching the variant spectrum of PRRT2 gene.
Humans ; Male ; Nerve Tissue Proteins/genetics* ; Female ; Membrane Proteins/genetics* ; Mutation ; Child, Preschool ; Infant ; Phenotype ; Dystonia/genetics* ; Retrospective Studies ; Child

OBJECTIVE: To analyze the clinical characteristics and genetic etiology of a child with Christianson syndrome (CS). METHODS: A 1-year-and-5-month-old boy with CS diagnosed at the First Affiliated Hospital of Zhengzhou University in April 2021 was selected as the study subject. Clinical data were retrospectively analyzed. Peripheral blood samples were obtained from the child and his parents, followed by genomic DNA extraction and whole exome sequencing (WES). Candidate variant was validated by Sanger sequencing. This study has been approved by the Medical Ethics Committee of the Hospital of Zhengzhou University (Ethics No. 2024-KY-1103-001). RESULTS: The child has manifested with seizures, microcephaly, and global developmental delay. WES revealed that he has harbored a novel de novo hemizygous nonsense variant of the SLC9A6 gene, namely c.1014G>A (p.W338*). Based on the guidelines from the American College of Medical Genetics and Genomics (ACMG), the variant was rated as pathogenic. CONCLUSION The hemizygous c.1014G>A nonsense variant of the SLC9A6 gene probably underlay the pathogenesis in this child. Above discovery has expanded mutational spectrum of the SLC9A6 gene and enabled definite diagnosis of the child.
Humans ; Male ; Infant ; Microcephaly/genetics* ; Spasms, Infantile/genetics* ; Sodium-Hydrogen Exchangers/genetics* ; Exome Sequencing ; Intellectual Disability/genetics* ; Genetic Diseases, X-Linked/genetics* ; Mutation ; Seizures/genetics* ; Ataxia ; Epilepsy ; Ocular Motility Disorders

The STAR tool was used to evaluate and analyze the science, transparency, and applicability of Chinese pathology guidelines and consensus published in medical journals in 2022. There were a total of 18 pathology guidelines and consensuses published in 2022, including 1 guideline and 17 consensuses. The results showed that the guideline score was 21.83 points, lower than the overall guideline average (43.4 points). Consensus ratings scored an average of 27.87 points, on par with the overall consensus level (28.3 points). Areas that scored above the overall level were "conflict of interest" and "working groups", while areas that scored below the overall level were "proposals", "funding", "evidence", "consensus approaches" and "accessibility". To sum up, the formulation of pathology guidelines and consensuses in 2022 is not standardized, and the evidence retrieval process, evidence evaluation methods and grading criteria for recommendations on clinical issues are not provided in the formulation process; the process and method for reaching consensus are not provided, the plan is lacking, and registration is not carried out. It is therefore suggested that guidelines/consensus makers in the field of pathology should attach importance to evidence-based medical evidence, strictly follow guideline formulation methods and processes, further improve the scientific, applicable and transparent guidelines/consensuses in the field, and better provide support for clinicians and patients.

Humans ; Gastrointestinal Microbiome ; Constipation/therapy* ; Probiotics/therapeutic use* ; Patients

Induced sputum testing is a non-invasive test that reflects the nature and extent of airway inflammation and plays an important role in the diagnosis, treatment and prognosis of chronic airway diseases. This article outlines the development history of induced sputum technology, introduces the principle and operation of induced sputum technology, evaluates its safety, summarizes the three main test components, elaborates the role of this technology in various chronic airway diseases, such as reflecting the type of airway inflammation, predicting the efficacy of medication, and combining it with transcriptomics to study disease mechanisms, and briefly summarizes its innovations and makes a vision for the future.