Collagen-based materials, renowned for their biocompatibility and minimal immunogenicity, serve as exemplary substrates in a myriad of biomedical applications. Collagen-based micro/nanogels, in particular, are valued for their increased surface area, tunable degradation rates, and ability to facilitate targeted drug delivery, making them instrumental in advanced therapeutics and tissue engineering endeavors. Although extensive reviews on micro/nanogels exist, they tend to cover a wide range of biomaterials and lack a specific focus on collagen-based materials. The current review offers an in-depth look into the manufacturing technologies, drug release mechanisms, and biomedical applications of collagen-based micro/nanogels to address this gap. First, we provide an overview of the synthetic strategies that allow the precise control of the size, shape, and mechanical strength of these collagen-based micro/nanogels by controlling the degree of cross-linking of the materials. These properties are crucial for their performance in biomedical applications. We then highlight the environmental responsiveness of these collagen-based micro/nanogels, particularly their sensitivity to enzymes and pH, which enables controlled drug release under various pathological conditions. The discussion then expands to include their applications in cancer therapy, antimicrobial treatments, bone tissue repair, and imaging diagnosis, emphasizing their versatility and potential in these critical areas. The challenges and future perspectives of collagen-based micro/nanogels in the field are discussed at the end of the review, with an emphasis on the translation to clinical practice. This comprehensive review serves as a valuable resource for researchers, clinicians, and scientists alike, providing insights into the current state and future directions of collagen-based micro/nanogel research and development.
Collagen/chemistry* ; Drug Delivery Systems/methods* ; Humans ; Tissue Engineering/methods* ; Animals ; Biocompatible Materials/chemistry*

Nonobstructive azoospermia (NOA), one of the most severe types of male infertility, etiology often remains unclear in most cases. Therefore, this study aimed to detect four biallelic detrimental variants (0.5%) in the minichromosome maintenance domain containing 2 ( MCMDC2 ) genes in 768 NOA patients by whole-exome sequencing (WES). Hematoxylin and eosin (H&E) demonstrated that MCMDC2 deleterious variants caused meiotic arrest in three patients (c.1360G>T, c.1956G>T, and c.685C>T) and hypospermatogenesis in one patient (c.94G>T), as further confirmed through immunofluorescence (IF) staining. The single-cell RNA sequencing data indicated that MCMDC2 was substantially expressed during spermatogenesis. The variants were confirmed as deleterious and responsible for patient infertility through bioinformatics and in vitro experimental analyses. The results revealed four MCMDC2 variants related to NOA, which contributes to the current perception of the function of MCMDC2 in male fertility and presents new perspectives on the genetic etiology of NOA.
Humans ; Male ; Azoospermia/genetics* ; Meiosis/genetics* ; Spermatogenesis/genetics* ; Adult ; Exome Sequencing ; Microtubule-Associated Proteins/genetics* ; Alleles ; Infertility, Male/genetics*

Acylcarnitines are metabolic intermediates of fatty acids and branched-chain amino acids having vital biofunctions and pathophysiological significances.Here,we developed a high-throughput method for quantifying hundreds of acylcarnitines in one run using ultrahigh performance liquid chromatography and tandem mass spectrometry(UPLC-MS/MS).This enabled simultaneous quantification of 1136 acyl-carnitines(C0-C26)within 10-min with good sensitivity(limit of detection＜0.7 fmol),linearity(cor-relation coefficient＞0.992),accuracy(relative error＜20％),precision(coefficient of variation(CV),CV＜15％),stability(CV＜15％),and inter-technician consistency(CV＜20％,n=6).We also established a quantitative structure-retention relationship(goodness of fit＞0.998)for predicting retention time(tR)of acylcarnitines with no standards and built a database of their multiple reaction monitoring parameters(tR,ion-pairs,and collision energy).Furthermore,we quantified 514 acylcarnitines in human plasma and urine,mouse kidney,liver,heart,lung,and muscle.This provides a rapid method for quantifying acyl-carnitines in multiple biological matrices.

Objective:To investigate the diagnostic value of nucleic acid matrix-assisted laser desorption ionization-time of flight mass spectrometry（MALDI-TOF MS）in sputum smear-negative patients with nontuberculous Mycobacterial（NTM）pulmonary disease.Methods:Clinical data of 123 patients suspected of NTM pulmonary disease admitted in Public Health Clinical Center Affiliated to Shandong University between July 2022 and November 2023 were retrospectively analyzed. Bronchoalveolar lavage fluid（BALF）specimens were collected for MALDI-TOF MS assay and MGIT 960 culture. The diagnostic efficacy of MALDI-TOF MS for NTM pulmonary disease in patients with negative sputum smears for acid-fast bacilli was evaluated with receiver operating characteristic（ROC）curve. Statistical analysis was performed using SPSS 26.0 software and MedCalc statistical software.Results:Diagnosis of NTM pulmonary disease was finally confirmed in 66 out of the 123 suspected patients. It took 8 to 24 h for MALDI-TOF MS to identify NTM species and resistance. By MALDI-TOF MS，72 NTM strains were identified，with the Mycobacterium avium complex being the most prevalent（34 strains，47.22%），followed by the Mycobacterium abscessus complex（13 strains，18.06%）；resistance to macrolides was detected in 6 cases，while no resistance to aminoglycosides was found. It took 9 to 45 days for BALF MGIT 960 culture to identify NTM，and took 7 to 15 days for NTM typing and drug sensitivity testing. By BALF MGIT 960 culture，28 NTM strains were identified；and 1 case was found to be resistant to macrolides. Using confirmed diagnosis as the gold standard，MALDI-TOF MS demonstrated higher sensitivity，negative predictive value，and agreement rate compared to MGIT 960 culture（84.85% vs. 42.42%，81.13% vs. 56.32%，80.49% vs. 62.60%， χ2=25.667，8.998，9.664， P<0.05 or <0.01）. The area under ROC curve（AUC）for MALDI-TOF MS was significantly higher than that of MGIT 960 culture（0.801 vs. 0.642， Z=3.300， P=0.001）. Conclusion:Compared to MGIT 960 culture，MALDI-TOF MS exhibits superior diagnostic efficiency in detecting NTM pulmonary disease in patients with acid-fast bacilli smear-negative sputum，with advantage of rapidly identifying NTM species and resistance.

Objective This study utilized bioinformatics to investigate the role of secreted phosphoprotein 1(SPP1)in tumors and assess its differential expression and prognostic significance across human cancers.Method Cancer sample data was sourced from the Cancer Genome Atlas(TCGA)and Genotype-tissue Expression(GTEx)database.Analysis of gene expression differences in pan-cancer involving SPP1 utilized the CPTAC database,correlations between SPP1 and patient survival outcomes were assessed using GEPIA2,and alterations in gene mutations for SPP1 across 32 cancers were appraised via the CbioPortal tool.Results Across 32 tumor types,SPP1 mRNA disparity is observed in eight cancer types,decreasing only in clear cell renal carcinoma while increasing in other malignancies.Expression in tumor stage is specific;SPP1 mRNA negatively correlates with patient overall survival(OS)and disease-free survival(DFS);low methylation associated with SPP1 gene activity promotes oncogene activation,impacting tumor cell generation,apoptosis,and proliferation,thereby influencing cancer progression;SPP1 primarily exhibits missense mutations that correlate with poor prognoses in prostate and stomach cancer patients.Conclusion Through pan-cancer studies,SPP1's selective expression in human malignancies was validated and found to be strongly correlated with clinical prognosis.This suggests that SPP1 is a viable target for cancer prognostic precision.

Objective To utilize bioinformatic approaches to elucidate the correlation between secreted phosphoprotein 1(SPP1)and immune infiltration in various malignancies,elucidating the mechanism of gene function in cancer-immune cell interplay.Methods Cancer samples were derived from the Cancer Genome Atlas(TCGA)and Genotype-tissue Expression(GTEx)database,examining SPP1 expression difference between tumors and normal tissues using Gene Expression Profiling Interactive Analysis(GEPIA2),and its correlation with different immune cells in extracellular matrix via TIMER2 Database.SPP1's association with interacting molecules was scrutinized on the STRING website,followed by assessment of its distinct functional state across various cancers from Cancer Single-cell State Atlas Database(Cancer SEA).Results In 32 tumor types,SPP1 mRNA is significantly elevated in 23 types of cancers and correlates heavily with fibroblast,integrin family,and CD44.Furthermore,the SPP1 gene exhibits profound specificity in tumor functions such as vascular invasion,metastasis,DNA damage,and repair.Conclusion Specific expression of SPP1 in tumors signifies a significant correlation with tumor immune cells in the extracellular matrix,promoting tumor progression and invasion.This suggests that targeted monitoring of SPP1 could serve as a prospective cancer diagnostics/therapeutics biomarker.

Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in tertiary hospitals in major regions of China in 2022.Methods Clinical isolates from 58 hospitals in China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2022 Clinical &Laboratory Standards Institute(CLSI)breakpoints.Results A total of 318 013 clinical isolates were collected from January 1,2022 to December 31,2022,of which 29.5％were gram-positive and 70.5％were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species(excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi)was 28.3％,76.7％and 77.9％,respectively.Overall,94.0％of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 90.8％of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis showed significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 94.2％in the isolates from children and 95.7％in the isolates from adults.The resistance rate to carbapenems was lower than 13.1％in most Enterobacterales species except for Klebsiella,21.7％-23.1％of which were resistant to carbapenems.Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.1％to 13.3％.The prevalence of meropenem-resistant strains decreased from 23.5％in 2019 to 18.0％in 2022 in Pseudomonas aeruginosa,and decreased from 79.0％in 2019 to 72.5％in 2022 in Acinetobacter baumannii.Conclusions The resistance of clinical isolates to the commonly used antimicrobial agents is still increasing in tertiary hospitals.However,the prevalence of important carbapenem-resistant organisms such as carbapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a downward trend in recent years.This finding suggests that the strategy of combining antimicrobial resistance surveillance with multidisciplinary concerted action works well in curbing the spread of resistant bacteria.

Objective To explore the effect of auto-segmentation based on deep learning(DL)and Atlas during online adaptive MRI-guided radiotherapy.Methods Totally 15 prostate cancer patients undergoing MRI-guided online adaptive radiotherapy at some hospital from January 2020 to September 2021 were selected and divided into a training set(12 cases)and a test set(3 cases)by random sampling method.With the training set data the models of clinical target volume(CTV)and organs at risk(OAR)by DL and Atlas segmentation were established,and with the test set data the two segmentation models were modified and the modification lengths were recorded.DL and Atlas segmentation methods were compared on segmentation efficiency and accuracy in terms of Dice similarity coefficient(DSC),Hausdorff distance(HD)and mean distance to agreement(MDA).A joint auto-segmentation scheme based on combined DL and Atlas was constructed with considerations on the advantages and characteristics of the two methods,which was compared with the schemes respectively based on DL or Atlas from the aspect of the time consumed for segmentation.Results Accuracy comparison showed Atlas segmentation model behaved better significantly than DL model for CTV(P＜0.05),while obviously worse than the latter for DSC and MDA in bladder and rectum(P＜0.05).The doctor took 9.4 min in average for CTV and OAR modification based on DL model and 12 min in average for Atlas-model-based modification.The joint auto-segmentation scheme only needed 8 min in average for CTV and OAR modification,which gained advantages over the schemes based on DL or Atlas.Conclusion The auto-segmentation based on combined DL and Atlas during online adaptive MRI-guided radiotherapy behaves well in low time consumption,high accuracy and efficiency.[Chinese Medical Equipment Journal,2024,45(6):59-64]

Neoadjuvant chemoradiotherapy combined with surgery is the standard treatment for patients with locally advanced esophageal cancer. However, there is significant variability in how patients respond to neoadjuvant chemoradiotherapy. The value of existing conventional diagnostic methods in predicting the effectiveness of neoadjuvant chemoradiotherapy is limited. Image-based artificial intelligence (AI), particularly radiomics and deep learning technologies, have shown great potential in predicting the efficacy of neoadjuvant chemoradiotherapy by automatically quantifying and analyzing a vast amount of information in medical images. This review summarizes AI research based on CT, positron emission computed tomography (PET-CT), and other imaging modalities, highlighting the current limitations and future directions of the research.