Organoid-on-a-chip technology represents a promising interdisciplinary advancement that merges two cutting-edge biomedical platforms: stem cell-derived organoids and microfluidics-based organ-on-a-chip systems. Organoids are self-organizing three-dimensional (3D) cell cultures that mimic the key structural and functional features of in vivo organs. However, traditional organoid culture systems are often static, lacking dynamic environmental cues and suffering from limitations such as batch-to-batch variability, low stability, and low throughput. Organ-on-a-chip platforms, by contrast, utilize microfluidic technologies to simulate the dynamic physiological microenvironment of human tissues and organs, enabling more controlled cell growth and differentiation. By integrating the advantages of organoids and organ-on-a-chip technologies, organoid-on-a-chip systems transcend the limitations of conventional 3D culture models, offering a more physiologically relevant and controllable in vitro platform. In organoid-on-a-chip systems, stem cells or pre-formed organoids are cultured in micro-engineered environments that mimic in vivo conditions, enabling precise control over fluid flow, mechanical forces, and biochemical cues. Specifically, these platforms employ advanced strategies including bio-inspired 3D scaffolds for structural support, precise spatial cell patterning via 3D bioprinting, and integrated biosensors for real-time monitoring of metabolic activities. These synergistic elements recreate complex extracellular matrix signals and ensure high structural fidelity. Based on structural complexity, organoid-on-a-chip systems are classified into single-organoid and multi-organoid types, forming a trajectory from unit biomimicry to systemic simulation. Single-organoid chips focus on highly biomimetic units by integrating vascular, immune, or neural functions. Multi-organoid chips simulate inter-organ crosstalk and systemic homeostasis, advancing complex disease modeling and PK/PD evaluation. This emerging technology has demonstrated broad application potential in multiple fields of biomedicine. Organoid-on-a-chip systems can recapitulate organ developmentin vitro, facilitating research in developmental biology. They mimic organ-specific physiological activities and mechanisms, showing promising applications in regenerative medicine for tissue repair or replacement. In disease modeling, they support the reconstruction of models for neurodegenerative, inflammatory, infectious, metabolic diseases, and cancers. These platforms also enable in vitro drug testing and pharmacokinetic studies (ADME). Patient-derived chips preserve genetic and pathological features, offering potential for precision medicine. Additionally, they reduce species differences in toxicology, providing human-relevant data for environmental, food, cosmetic, and drug safety assessments. Despite progress, organoid-on-a-chip systems face challenges in dynamic simulation, extracellular matrix (ECM) variability, and limited real-time 3D imaging, requiring improved materials and the integration of developmental signals. Current bottlenecks also include the high technical threshold for automation and the lack of standardized validation frameworks for regulatory adoption. Meanwhile, the concept of a “human-on-a-chip” has been proposed to mimic whole-body physiology by integrating multiple organoid modules. This approach enables systemic modeling of drug responses and toxicity, with the potential to reduce animal testing and revolutionize drug development. Future advancements in bio-responsive hydrogels and flexible biosensors will further empower these platforms to bridge the gap between bench-side research and personalized clinical interventions. In conclusion, organoid-on-a-chip technology offers a transformative in vitro model that closely recapitulates the complexity of human tissues and organ systems. It provides an unprecedented platform for advancing biomedical research, clinical translation, and pharmaceutical innovation. Continued development in biomaterials, microengineering, and analytical technologies will be essential to unlocking the full potential of this powerful tool.

Organoid-on-a-chip technology represents a promising interdisciplinary advancement that merges two cutting-edge biomedical platforms: stem cell-derived organoids and microfluidics-based organ-on-a-chip systems. Organoids are self-organizing three-dimensional (3D) cell cultures that mimic the key structural and functional features of in vivo organs. However, traditional organoid culture systems are often static, lacking dynamic environmental cues and suffering from limitations such as batch-to-batch variability, low stability, and low throughput. Organ-on-a-chip platforms, by contrast, utilize microfluidic technologies to simulate the dynamic physiological microenvironment of human tissues and organs, enabling more controlled cell growth and differentiation. By integrating the advantages of organoids and organ-on-a-chip technologies, organoid-on-a-chip systems transcend the limitations of conventional 3D culture models, offering a more physiologically relevant and controllable in vitro platform. In organoid-on-a-chip systems, stem cells or pre-formed organoids are cultured in micro-engineered environments that mimic in vivo conditions, enabling precise control over fluid flow, mechanical forces, and biochemical cues. Specifically, these platforms employ advanced strategies including bio-inspired 3D scaffolds for structural support, precise spatial cell patterning via 3D bioprinting, and integrated biosensors for real-time monitoring of metabolic activities. These synergistic elements recreate complex extracellular matrix signals and ensure high structural fidelity. Based on structural complexity, organoid-on-a-chip systems are classified into single-organoid and multi-organoid types, forming a trajectory from unit biomimicry to systemic simulation. Single-organoid chips focus on highly biomimetic units by integrating vascular, immune, or neural functions. Multi-organoid chips simulate inter-organ crosstalk and systemic homeostasis, advancing complex disease modeling and PK/PD evaluation. This emerging technology has demonstrated broad application potential in multiple fields of biomedicine. Organoid-on-a-chip systems can recapitulate organ developmentin vitro, facilitating research in developmental biology. They mimic organ-specific physiological activities and mechanisms, showing promising applications in regenerative medicine for tissue repair or replacement. In disease modeling, they support the reconstruction of models for neurodegenerative, inflammatory, infectious, metabolic diseases, and cancers. These platforms also enable in vitro drug testing and pharmacokinetic studies (ADME). Patient-derived chips preserve genetic and pathological features, offering potential for precision medicine. Additionally, they reduce species differences in toxicology, providing human-relevant data for environmental, food, cosmetic, and drug safety assessments. Despite progress, organoid-on-a-chip systems face challenges in dynamic simulation, extracellular matrix (ECM) variability, and limited real-time 3D imaging, requiring improved materials and the integration of developmental signals. Current bottlenecks also include the high technical threshold for automation and the lack of standardized validation frameworks for regulatory adoption. Meanwhile, the concept of a “human-on-a-chip” has been proposed to mimic whole-body physiology by integrating multiple organoid modules. This approach enables systemic modeling of drug responses and toxicity, with the potential to reduce animal testing and revolutionize drug development. Future advancements in bio-responsive hydrogels and flexible biosensors will further empower these platforms to bridge the gap between bench-side research and personalized clinical interventions. In conclusion, organoid-on-a-chip technology offers a transformative in vitro model that closely recapitulates the complexity of human tissues and organ systems. It provides an unprecedented platform for advancing biomedical research, clinical translation, and pharmaceutical innovation. Continued development in biomaterials, microengineering, and analytical technologies will be essential to unlocking the full potential of this powerful tool.

Primary ciliary dyskinesia (PCD) is a genetically heterogeneous disorder characterized by impaired motility of cilia and flagella. Mutations in cilia- and flagella-associated protein 300 ( CFAP300 ) are associated with human PCD and male infertility; however, the underlying pathogenic mechanisms remain poorly understood. In a consanguineous Chinese family, we identified a homozygous CFAP300 loss-of-function variant (c.304delC) in a proband presenting with classical PCD symptoms and severe sperm abnormalities, including dynein arm deficiency and acrosomal malformation, as confirmed by transmission electron microscopy (TEM). Histological analysis revealed multiple morphological abnormalities of the sperm flagella in CFAP300 -mutant individual, whereas immunofluorescence demonstrated markedly reduced CFAP300 expression in the spermatozoa of the proband. Furthermore, tandem mass tag (TMT)-based quantitative proteomics showed that the CFAP300 mutation reduced key spermatogenesis proteins (e.g., sperm flagellar 2 [SPEF2], solute carrier family 25 member 31 [SLC25A31], and A-kinase anchoring protein 3 [AKAP3]) and mitochondrial ATP synthesis factors (e.g., SLC25A31, cation channel sperm-associated 3 [CATSPER3]). It also triggered abnormal increases in autophagy-related proteins and signaling mediator phosphorylation. These molecular alterations are likely to contribute to progressive deterioration of sperm ultrastructure and function. Notably, successful pregnancy was achieved via intracytoplasmic sperm injection (ICSI) using the proband's sperm. Overall, this study expands the known CFAP300 mutational spectrum and offers novel mechanistic insights into its role in spermatogenesis.
Humans ; Male ; Infertility, Male/pathology* ; Acrosome/pathology* ; Sperm Tail/pathology* ; Pedigree ; Spermatozoa ; Adult ; Loss of Function Mutation ; Ciliary Motility Disorders/genetics* ; Spermatogenesis/genetics* ; Female

OBJECTIVES: To investigate the risk factors for the occurrence of cardiopulmonary dysfunction following ligation of hemodynamically significant patent ductus arteriosus (hsPDA) in preterm infants. METHODS: A retrospective collection of clinical data was conducted on preterm infants with a gestational age of <34 weeks who were admitted to the Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology from January 2018 to August 2024. These infants underwent hsPDA ligation after 1-2 courses of failed ibuprofen treatment. Based on the occurrence of blood pressure changes and oxygenation or ventilation failure postoperatively, the infants were divided into a cardiopulmonary dysfunction group (19 cases) and a non-cardiopulmonary dysfunction group (40 cases). Binary logistic regression analysis was performed to explore risk factors for postoperative cardiopulmonary dysfunction. RESULTS: Binary logistic regression analysis indicated that a faster average weight gain rate preoperatively and low levels of free triiodothyronine (FT₃) within one week before surgery were risk factors for cardiopulmonary dysfunction following hsPDA ligation (P<0.05). Receiver operating characteristic curve analysis showed that an average weight gain rate >11.45 g/(kg·d) and FT₃ levels <2.785 pmol/L within one week before surgery had predictive value for postoperative cardiopulmonary dysfunction (P<0.05). The combination of these two indicators provided the highest predictive value (P<0.05), with an area under the curve of 0.825, a sensitivity of 79%, and a specificity of 75%. CONCLUSIONS An average weight gain rate exceeding 11.45 g/(kg·d) and FT₃ levels below 2.785 pmol/L within one week before surgery are risk factors affecting cardiopulmonary function after hsPDA ligation. Preoperative assessment and intervention should be strengthened to reduce the risk of postoperative complications.
Humans ; Ductus Arteriosus, Patent/physiopathology* ; Risk Factors ; Female ; Infant, Newborn ; Male ; Retrospective Studies ; Infant, Premature ; Ligation/adverse effects* ; Hemodynamics ; Postoperative Complications/etiology* ; Logistic Models ; Lung Diseases/etiology*

OBJECTIVES: To investigate the current status and influencing factors of quality of life in children and adolescents with type 1 diabetes (T1DM) in Xinjiang. METHODS: A convenience sampling method was used to select 259 children with T1DM and their primary caregivers who attended three tertiary hospitals in Xinjiang from January 2023 to February 2024. The Pediatric Quality of Life Inventory^TM Version 4.0 Generic Core Scales (PedsQL^TM4.0) and Pediatric Quality of Life Inventory^TM Version 3.2 Diabetes Module (PedsQL^TM3.2-DM) were used to assess the quality of life of the children. Information on family demographics, caregiver burden, and caregiving ability was also collected. Multiple linear regression analysis was employed to identify factors associated with the quality of life of the children. RESULTS: The scores for PedsQL^TM4.0 and PedsQL^TM3.2-DM were 77±16 and 71±16, respectively. Both were negatively correlated with caregiver burden (P<0.05) and positively correlated with caregiving ability (P<0.05). Multiple linear regression analysis indicated that caregiver burden, caregiving ability, family income, and parent-child relationship were significantly associated with generic quality of life (P<0.05), whereas caregiver burden, caregiving ability, disease duration, place of residence, and glycated hemoglobin level were significantly associated with diabetes-specific quality of life (P<0.05). CONCLUSIONS The overall quality of life of children and adolescents with T1DM in Xinjiang is relatively low. The quality of life is influenced by a combination of factors including family caregiver burden, caregiving ability, family income, parent-child relationship, disease duration, place of residence, and glycated hemoglobin level. Strategies to improve quality of life should consider the combined impact of individual disease characteristics and family factors.
Humans ; Quality of Life ; Diabetes Mellitus, Type 1/psychology* ; Adolescent ; Child ; Male ; Female ; Caregivers/psychology* ; Child, Preschool ; Linear Models

Objective： The aim of this study is to explore the predictive value of biparametric magnetic resonance imaging(bpMRI)for pelvic lymph node metastasis in prostate cancer patients with PSA≤20 μg/L and establish a nomogram. Methods： The imaging data and clinical data of 363 patients undergoing radical prostatectomy and pelvic lymph node dissection in the First Affiliated Hospital of Nanjing Medical University from July 2018 to December 2023 were retrospectively analyzed. Univariate analysis and multivariate logistic regression were used to screen independent risk factors for pelvic lymph node metastasis in prostate cancer, and a nomogram of the clinical prediction model was established. Calibration curves were drawn to evaluate the accuracy of the model. Results： Multivariate logistic regression analysis showed extrocapusular extension (OR=8.08,95%CI=2.62－24.97, P<0.01), enlargement of pelvic lymph nodes (OR=4.45,95%CI=1.16－17.11,P=0.030), and biopsy ISUP grade(OR=1.97,95%CI=1.12－3.46, P=0.018)were independent risk factors for pelvic lymph node metastasis. The C-index of the prediction model was 0.834, which indicated that the model had a good prediction ability. The actual value of the model calibration curve and the prediction probability of the model fitted well, indicating that the model had a good accuracy. Further analysis of DCA curve showed that the model had good clinical application value when the risk threshold ranged from 0.05 to 0.70.Conclusion： For prostate cancer patients with PSA≤20 μg/L, bpMRI has a good predictive value for the pelvic lymph node metastasis of prostate cancer with extrocapusular extension, enlargement of pelvic lymph nodes and ISUP grade≥4.
Humans ; Male ; Prostatic Neoplasms/diagnostic imaging* ; Lymphatic Metastasis ; Retrospective Studies ; Nomograms ; Prostate-Specific Antigen/blood* ; Lymph Nodes/pathology* ; Pelvis ; Predictive Value of Tests ; Prostatectomy ; Lymph Node Excision ; Risk Factors ; Magnetic Resonance Imaging ; Logistic Models ; Middle Aged ; Aged

Objective:To analyze the application efficacy of employing high-density porous polyethylene （Su-por） in combination with temporoparietal fascial flaps via a minimally invasive scalp incision in auricular reconstruction. Methods:This study carried out a retrospective analysis of 50 patients （50 ears in total） who underwentprimary auricular reconstruction with a Su-por scaffold in our hospital from June 2022 to January 2024. All patients underwent primary auricular reconstruction using a minimally invasive scalp incision with high-density porous polyethylene （Su-por） and temporoparietal fascial flaps. The postoperative treatment effects and complications were statistically analyzed. Results:The reconstructed ears of all patients survived. After 6 months of follow-up, the scar hyperplasia of the scalp minimally invasive incision was not obvious in any patient, and no significant hair loss was observed. The reconstructed auricle of 48 patients had a realistic shape and strong three-dimensional sense. With the extension of follow-up time, the three-dimensional structure of the auricle became clearer, and patient satisfaction increased. Among the remaining two patients, one case of flap necrosis survived after skin grafting and dressing changes. One patient had scar hyperplasia at the incision of the reconstructed ear due to a scar-prone constitution, and the shape of the auricle was not ideal, but the scar hyperplasia at the scalp incision was not obvious. Conclusion:One-stage ear reconstruction with high-density porous polyethylene （Su-por） combined with superficial temporal fascia flap through a minimally invasive scalp incision can better show the fine structure of the reconstructed ear. The minimally invasive scalp incision can effectively reduce the occurrence of scar hyperplasia and postoperative alopecia at the scalp incision.
Humans ; Plastic Surgery Procedures/methods* ; Retrospective Studies ; Surgical Flaps ; Tissue Scaffolds ; Polyethylene ; Ear Auricle/surgery* ; Male ; Scalp/surgery* ; Female ; Skin Transplantation ; Fascia/transplantation* ; Porosity ; Adult ; Middle Aged

Objective To analyze the literature in the field of body fluid identification collected in the Web of Science Core Collection(WoSCC)database from 2000 to 2023,and explore the research sta-tus,hotspots and development trends in this field.Methods The CiteSpace software was utilized to conduct a visual analysis of the literature in the field of body fluid identification included in the WoSCC database from 2000 to 2023.Meanwhile,a bibliometric analysis of the annual publication vol-ume,journal distribution,national contribution,research institutions,author collaboration,and keywords of the literature was conducted.Results A total of 715 papers on forensic body fluid identification were included,and the annual publication volume showed a continuous and stable growth.Among the 55 countries(regions)that published papers,the United States ranked first with 174 papers,followed by China with 107 papers.In terms of journal distribution,Forensic Science International:Genetics had the largest number of papers,which accounted for 20%of the total papers.In terms of author collaboration,a total of 2 079 authors participated in body fluid identification research,and the author collaboration network showed a clearly clustered distribution.The keywords analysis revealed that re-search hotspots focused on traditional methods,specific RNA molecular markers,DNA methylation,spectroscopy,and the application of microbiomics.Conclusion Research in the field of forensic body fluid identification is thriving,and research institutions and teams should strengthen their collaboration.Establishing unified result interpretation standards and systems and exploring the multiple biomarkers combined application methods will be the research hotspots and important directions for future research in this field.

At present,the drug substitutes represented by new psychoactive substances are gradually be-coming popular,leading to an increasing demand for identifying novel drugs with unknown structures in drug investigation.Nuclear magnetic resonance(NMR)spectroscopy is an important tool for ana-lyzing molecular structures.In the absence of standard substances,quantitative NMR(qNMR)can un-dertake the quantitative analysis of target substances in complex mixtures and has unique advantages in the research of new drugs and their precursor drugs.Due to the limitations of the site and mainte-nance costs,as well as relatively complex operation,high-field superconducting NMR is less com-monly applied in drug research.The desktop low-field NMR developed in recent years provides a new alternative solution.Due to the use of permanent magnets,its size is reduced,and the operation and maintenance costs are lowered.It has been widely used in various research fields.This article reviews the development of low-field NMR technology,summarizes the application of desktop low-field NMR in screening and identification of suspicious substances,rapid content determination,analysis of drug manufacturing processes and synthetic routes,and correlation traceability.It also looks forward to the prospects and development directions of this technology in drug research,aiming to provide a reference for researchers who work in analytical chemistry and drug research.

Objective To investigate the correlation between serum levels of long non-coding RNA(Ln-cRNA)-prostate androgen regulated transcript 1(PART1),LncRNA-nucleolar ribonucleic acid host gene 14(SNHG14)and disease stage,cognitive impairment and motor function in patients with Parkinson's disease(PD).Methods A total of 100 PD patients(PD group)who admitted to the Department of Neurology in the hospital from January 2021 to December 2023 and 100 healthy subjects(control group)who underwent the physical examination during the same period of time were selected.According to Hoehn-Yahr staging,PD pa-tients were divided into early stage group(grade 1.0-2.5,20 cases),middle stage group(grade 3.0,48 ca-ses)and late stage group(grade 4.0-5.0,32 cases).According to the Montreal Cognitive Assessment(Mo-CA)score,the patients were divided into normal cognitive group(MoCA score≥26 points,33 cases),PD-mild cognitive impairment group(MoCA score 21-＜26 points,46 cases)and PD dementia group(MoCA score＜21 points,21 cases).According to the Unified Parkinson's Disease Rating Scale(UPDRS)-Ⅲ score,the pa-tients were divided into mild dyskinesia group(0-15 points,29 cases),moderate dyskinesia group(＞15-40 points,46 cases)and severe dyskinesia group(＞40-56 points,25 cases).Real-time fluorescence quantitative PCR was used to detect serum LncRNA-PART1 and LncRNA-SNHG14 levels.Spearman method was used to analyze the correlation between serum LncRNA-PART1,LncRNA-SNHG14 levels and Hoehn-Yahr staging,MoCA score and UPDRS-Ⅲ score in PD patients.Results The level of serum LncRNA-PART1 in PD group was lower than that in control group(P＜0.05),and the level of LncRNA-SNHG14 was higher than that in control group(P＜0.05).The serum levels of LncRNA-PART1 in the middle stage group and late stage groups were lower than those in the early stage group(P＜0.05),and the levels of LncRNA-SNHG14 were higher than those in the early stage group(P＜0.05).In addition,the serum level of LncRNA-PART1 in the late stage group was lower than that in the middle stage group(P＜0.05),and the level of LncRNA-SNHG14 was higher than that in the middle stage group(P＜0.05).The serum LncRNA-PART1 levels in the PD-mild cognitive impairment group and PD dementia group were lower than those in the normal cognitive group(P＜0.05),while the LncRNA-SNHG14 levels were higher than those in the normal cognitive group(P＜0.05).Additionally,the serum LncRNA-PART1 level in the PD dementia group was lower than that in the PD-mild cognitive impairment(P＜0.05),while the LncRNA-SNHG14 level was higher than that in the PD-mild cog-nitive impairment group(P＜0.05).The serum levels of LncRNA-PART1 in the moderate dyskinesia group and severe dyskinesia group were lower than those in the mild dyskinesia group(P＜0.05),and the levels ofLncRNA-SNHG14 were higher than that in the mild dyskinesia group(P＜0.05).In addition,the serum level of LncRNA-PART1 in the severe dyskinesia group was lower than that in the moderate dyskinesia group(P＜0.05),and the level of LncRNA-SNHG14 was higher than that in the moderate dyskinesia group(P＜0.05).Spearman method results showed that serum LncRNA-PART1 level was negatively correlated with Hoehn-Yahr staging and UPDRS-Ⅲ score in PD patients,and positively correlated with MoCA score(P＜0.05).The level of serum LncRNA-SNHG14 was positively correlated with Hoehn-Yahr staging and UPDRS-Ⅲ score in PD patients,and negatively correlated with MoCA score(P＜0.05).Conclusion The level of ser-um LncRNA-PART1 in PD patients is decreased,and the level of LncRNA-SNHG14 is increased,both of them are related to the disease stage,cognitive impairment and motor function of PD patients,which may be-come evaluation indicators for PD progression.