Objective:This study aims to construct a quality evaluation index system for specialized disease databases. Through systematic assessment and optimization, it seeks to comprehensively enhance the quality and standardization of specialized disease cohort data. This initiative will provide more precise and reliable data support for disease research, the development of innovative drugs and medical devices, as well as policy formulation.Methods:By conducting a thorough analysis of domestic and international literature and policies related to clinical research data quality evaluation systems, preliminary quality evaluation indicators for specialized disease databases were established. Utilizing the Delphi method in two rounds, a quality evaluation system for specialized disease databases was constructed. The Analytic Hierarchy Process (AHP) and YAAHP 7.5 software were then employed to calculate the relative weights of indicators at various levels and their composite weights.Results:The two rounds of expert consultation achieved a 100.00% valid response rate, with an expert authority coefficient of 0.81 in both rounds. In the second round, the Kendall′s coordination coefficients for the first-level and second-level indicators reached 0.311 and 0.218, respectively ( P<0.05), indicating a good level of consensus among experts. The final specialized disease database quality evaluation system consists of 3 first-level indicators, 10 second-level indicators, and 32 third-level indicators. The first-level indicators include database construction, data quality, and cohort development, with weight coefficients of 31.82%, 41.49%, and 26.69%, respectively. The scientific validity of the indicator system was confirmed through reliability and validity analyses. When applied to assessing 58 specialized disease database projects from 36 medical institutions in a certain city, the results showed significant improvements in scores for database construction, data quality, and cohort development, with the most notable improvement observed in database construction. Conclusions:This study successfully developed a scientific, practical, and rationally weighted quality evaluation system for specialized disease databases, demonstrating high expert consensus and broad applicability.Validation studies have shown that this system effectively enhances the standardization and data quality of databases, providing robust technical support and assurance for specialized disease research and data resource sharing.

L-citrulline is a nonprotein amino acid that plays an important role in human health and has great market demand. Although microbial cell factories have been widely used for biosynthesis, there are still challenges such as genetic instability and low efficiency in the biosynthesis of L-citrulline. In this study, an efficient, plasmid-free, non-inducible L-citrulline-producing strain of Escherichia coli BL21(DE3) was engineered by combined strategies. Firstly, a chassis strain capable of synthesizing L-citrulline was constructed by block of L-citrulline degradation and removal of feedback inhibition, with the L-citrulline titer of 0.43 g/L. Secondly, a push-pull-restrain strategy was employed to enhance the L-citrulline biosynthesis, which realized the L-citrulline titer of 6.0 g/L. Thirdly, the NADPH synthesis and L-citrulline transport were strengthened to promote the synthesis efficiency, which achieved the L-citrulline titer of 11.6 g/L. Finally, fed-batch fermentation was performed with the engineered strain in a 3 L fermenter, in which the L-citrulline titer reached 44.9 g/L. This study lays the foundation for the industrial production of L-citrulline and provides insights for the modification of other amino acid metabolic networks.
Citrulline/biosynthesis* ; Escherichia coli/genetics* ; Metabolic Engineering/methods* ; Fermentation ; NADP/biosynthesis*

Objective:This study aims to construct a quality evaluation index system for specialized disease databases. Through systematic assessment and optimization, it seeks to comprehensively enhance the quality and standardization of specialized disease cohort data. This initiative will provide more precise and reliable data support for disease research, the development of innovative drugs and medical devices, as well as policy formulation.Methods:By conducting a thorough analysis of domestic and international literature and policies related to clinical research data quality evaluation systems, preliminary quality evaluation indicators for specialized disease databases were established. Utilizing the Delphi method in two rounds, a quality evaluation system for specialized disease databases was constructed. The Analytic Hierarchy Process (AHP) and YAAHP 7.5 software were then employed to calculate the relative weights of indicators at various levels and their composite weights.Results:The two rounds of expert consultation achieved a 100.00% valid response rate, with an expert authority coefficient of 0.81 in both rounds. In the second round, the Kendall′s coordination coefficients for the first-level and second-level indicators reached 0.311 and 0.218, respectively ( P<0.05), indicating a good level of consensus among experts. The final specialized disease database quality evaluation system consists of 3 first-level indicators, 10 second-level indicators, and 32 third-level indicators. The first-level indicators include database construction, data quality, and cohort development, with weight coefficients of 31.82%, 41.49%, and 26.69%, respectively. The scientific validity of the indicator system was confirmed through reliability and validity analyses. When applied to assessing 58 specialized disease database projects from 36 medical institutions in a certain city, the results showed significant improvements in scores for database construction, data quality, and cohort development, with the most notable improvement observed in database construction. Conclusions:This study successfully developed a scientific, practical, and rationally weighted quality evaluation system for specialized disease databases, demonstrating high expert consensus and broad applicability.Validation studies have shown that this system effectively enhances the standardization and data quality of databases, providing robust technical support and assurance for specialized disease research and data resource sharing.

OBJECTIVE: The medicinal mushroom Sanghuangporus vaninii produces pharmaceutically valuable hispidin polyphenols in natural habitats. However, due to the slow growth in nature, S. vaninii grown in the field (sclerotia) is not reliable for pharmaceutical purposes. Although higher biomass of fungal mycelia can be obtained in submerged cultures, the accumulation of hispidin polyphenols is rare. METHODS: In this study, the polyunsaturated fatty acids (PUFAs), linoleic acid (LA), linolenic acid (ALA), and methyl jasmonate (MeJa) were employed as the stimulant agents to coordinate the accumulation of biomass and hispidin polyphenols in its submerged cultures. RESULTS: The addition of LA and ALA promoted the mycelial accumulation, while the addition of MeJa inhibited the growth of S. vaninii concomitant with reduced total polyphenols. UPLC-Triple-TOF-MS analysis revealed an increased production of hispidin, phellinstatin, pinnilidine, and its derivatives upon the addition of LA and ALA, and hypholomine B and its isomer, 3,14'-bihispidinyl, and phelligridin E upon the addition of MeJa on day 13. Intriguingly, total polyphenols from the MeJa-supplementing cultures harbored a high capacity in scavenging free radicals. Chemical structural analysis showed that hispidin polyphenols had higher antioxidant activity due to more hispidin moieties induced by MeJa. CONCLUSION The supplement of PUFAs affects the synthesis and composition of hispidin polyphenols in S. vaninii. Our results provide a possibility to coordinate the production of hispidin polyphenols via submerged cultures of S. vaninii.

Magnetic anchoring and traction technique is one of the core technologies of magnetic surgery. With the "non-contact" traction force of the outer magnet on the inner magnet, we can drive the inner magnet and the gripper to multiple directions, and pull tissue or organ to required position in operations, so as to get a clearer surgical field of view. On the basis of the previous animal experiments, we applied magnetic anchoring and traction device in 3 human (males aged 63-71 years) thoracoscopic esophagectomies. Using the magnetic anchoring device, we could pull the esophagus dorsally or ventrally to assist in exposing the anatomical plane without special equipment or pleural puncture for retraction of the esophagus. The interference between operating instruments reduced. The mean blood loss in operation was 83 mL, the mean total operation time was 253 min and the mean length of hospital stay was 10 d. Postoperative follow-up showed that all 3 patients had good short-term prognosis. There was no swellling or pain in magnetic anchoring zone of chest wall.

Objective    To verify the feasibility of a self-designed magnetic anchoring and traction device (MATD) for assisting two-port video-assisted thoracoscopic esophagectomy. Methods    Three Beagle dogs were selected as animal models with age ranging from 1-6 years and weight ranging from 8-12 kg, and they underwent two-port video-assisted thoracoscopic esophagectomy after general anesthesia. We used the MATD to retract the esophagus to different directions, which assisted mobilizing esophagus, detecting the nerves along esophagus and dissecting paraesophagus lymph nodes. The operation time, blood loss and feasibility of the MATD were recorded. Results    With the aid of the MATD, we successfully retracted and mobilized the esophagus, detected the nerves and dissected the lymph nodes in three Beagle dog models. During the operation, the MATD provided sufficient and steady traction of esophagus to achieve a good exposure of the operative field, effectively decreasing the interference between working instruments. The MATD worked well. The mean operation time was 30 min, and the mean intraoperative blood loss was about 10 mL. Conclusion    It is effective to use the MATD to assist retracting esophagus during video-assisted thoracoscopic esophagectomy. The magnetic anchoring and traction technique can assist to expose the surgical field, decrease the interference between the working instruments and have the potential clinical application.

Na?ve CD4 + T cells differentiate into a variety of T helper (Th) subsets that secrete various cytokines to exert biological effects. Th22 cells, a novel identified CD4 + T cell subset, are distinct from Th1, Th2 and Th17 cell subsets. Th22 cells express chemokine receptors CCR4, CCR6 and CCR10, and secrete multiple cytokines such as IL-22, IL-13 and TNF-α, but not IL-17, IL-4 IFN-γ; and IL-22 is considered as major effector cytokine of Th22. The understanding on functions and differentiation mechanisms of Th22 cells have been constantly improved, and Th22 cells play important roles in human common viral infections. The article reviews the current advances about the characteristics, function, differentiation of Th22 cells, the roles of Th22 cells and the key molecules in several human common viral infections, which would provide novel immune strategies for the prevention and treatment of human viral infection.

Objective:Investigator Initiated Trials (IIT) play a key role in promoting comprehensively the development and homogeneity of clinical diagnosis and treatment, thus, this article aims to explore a set of recommendations for the construction and management of clinical research institutes that support IIT.Methods:Through the combination of literature review and institutional construction practice cases, based on the experience of domestic and foreign universities and well-functioning medical institutions in building clinical research centers, as well as summarizing the construction cases of the clinical research institute of Shanghai Jiao Tong University School of Medicine, to discuss the construction and management plan of such centers.Results:Propose recommendations for the construction and management standards of clinical research centers that support IIT, covering the principles of center construction, basic settings, organizational structure, functional departments, basic platforms, staffing, document management and institutional evaluation.Conclusions:We hope this study can provide reference to universities and medical institutions for the construction of the clinical research institute.

Objective To improve clinical research capability and quality,this study aims to explore the methodological support system of Investigator Initiated Trials (IITs).Methods By comparing the clinical research supporting system between commercial and academic organization at home and abroad,this study summarized their characteristics and make systematic analysis combined with IITs.Results Compared with international level,there is an urgent need to improve of domestic,professional support for clinical research.Academic clinical research supporting academic system could better satisfy the requirement of IITs in China.Taking Shanghai Jiao Tong University School of Medicine as an example,this paper introduces the a collaborative construction model,namely Multiple-center Academic Clinical Research Organization (MACRO),based on two levels of clinical research institutes in university and affiliated hospitals.At universities level,we focused on development of clinical research,top-level study design,clinical research methodology,clinical research professionals and standardized clinical research platform.At hospitals level,project process management can be emphasized,and which will be the main implementation content to build an applied clinical research technology center in MACRO.Conclusions With the construction of MACRO,the functional module paradigms of academic clinical research centers in university can be effectively linked to affiliated hospitals.This will be conducive for establishing collaborative support system,which is centered on academic research and complementary functions with multiple centers,improving full-time technical team and further enhancing the scientific validity and research quality of IITs.

Neurostimulation remarkably alleviates the symptoms in a variety of brain disorders by modulating the brain-wide network. However, how brain-wide effects on the direct and indirect pathways evoked by focal neurostimulation elicit therapeutic effects in an individual patient is unknown. Understanding this remains crucial for advancing neural circuit-based guidance to optimize candidate patient screening, pre-surgical target selection, and post-surgical parameter tuning. To address this issue, we propose a functional brain connectome-based modeling approach that simulates the spreading effects of stimulating different brain regions and quantifies the rectification of abnormal network topology in silico. We validated these analyses by pinpointing nuclei in the basal ganglia circuits as top-ranked targets for 43 local patients with Parkinson's disease and 90 patients from a public database. Individual connectome-based analysis demonstrated that the globus pallidus was the best choice for 21.1% and the subthalamic nucleus for 19.5% of patients. Down-regulation of functional connectivity (up to 12%) at these prioritized targets optimally maximized the therapeutic effects. Notably, the priority rank of the subthalamic nucleus significantly correlated with motor symptom severity (Unified Parkinson's Disease Rating Scale III) in the local cohort. These findings underscore the potential of neural network modeling for advancing personalized brain stimulation therapy, and warrant future experimental investigation to validate its clinical utility.
Adult ; Aged ; Brain Mapping ; Connectome ; Deep Brain Stimulation ; methods ; Female ; Humans ; Image Processing, Computer-Assisted ; Magnetic Resonance Imaging ; Male ; Middle Aged ; Neural Pathways ; diagnostic imaging ; physiology ; Oxygen ; blood ; Parkinson Disease ; diagnostic imaging ; pathology ; therapy ; ROC Curve ; United Kingdom