Objective To explore the application value of anhydrous ethanol as an alternative to methanol in the preparation of chromosomal specimens from peripheral blood lymphocytes, and to establish a set of quantitative analytical methods for objectively evaluating the effectiveness of specimen preparation. Methods Residual blood samples from routine laboratory slide preparation were used for lymphocyte culture. The standard slide preparation method was employed. The fixative in the control group was methanol and glacial acetic acid (3∶1). Four experimental groups were set up based on the ratio of anhydrous ethanol to glacial acetic acid in the fixative (volume ratios of 3∶1, 5∶1, 7∶1, and 9∶1 for experimental groups 1, 2, 3, and 4, respectively). A chromosomal analysis was conducted using an automated chromosome scanning/image analysis system to evaluate the morphology and dispersion of metaphase chromosomes in both control and experimental groups. Comparisons were made between the control and experimental groups regarding the dic + r aberration rate, ace aberration rate, chromosomal aberration rate, chromosome dispersion index, chromosome overlapping ratio, and dispersion index/overlapping ratio. Results Microscopic evaluation revealed that the preparation quality of experimental groups 1 and 2 was comparable to the control group. No statistically significant differences were observed in dic + r aberration rate between each of the experimental groups and the control (P > 0.05). All experimental groups except group 4 showed no significant differences in ace aberration rate and chromosome aberration rate compared with the control group (P > 0.05). Experimental groups 1 and 2 showed no significant differences in chromosome dispersion index, overlapping ratio, and dispersion index/overlapping ratio compared with the control group (P > 0.05). Conclusion A mixture of anhydrous ethanol and glacial acetic acid at a 5∶1 ratio is recommended for use as a fixative in the preparation of chromosomal specimens from peripheral blood lymphocytes. A quantitative index system for assessing the quality of chromosomal specimens was established, enabling objective evaluation of slide preparation effectiveness.

OBJECTIVE: To accurately measure human energy metabolism with high temporal resolution, a respiratory gas analysis system was designed using a breath-by-breath approach. METHODS: Firstly, indirect calorimetry was employed in respiratory gas analysis to measure the respiratory flow and concentration signals in real-time. Secondly, oxygen consumption QO2 and carbon dioxide production QCO2 were calculated through respiratory characteristic alignment and respiratory signal segmentation. Finally, metabolic indexes were calculated according to the Weir formula. Furthermore, a controlled trial was formulated for validation comparisons with the MGC ULTIMA SYSTEM PFX CARDIO2. RESULTS: The results indicate that the data points of metabolic indexes measured by this system all fall within the confidence interval when compared with those of the MGC. CONCLUSION The system has high consistency with the MGC measurement results. Thus, the system can accurately measure metabolism in real-time and provide data support for clinical nutrition assessment and therapy.
Humans ; Energy Metabolism ; Breath Tests/instrumentation* ; Calorimetry, Indirect/instrumentation* ; Equipment Design

Ulcerative colitis (UC) is a chronic and non-specific inflammatory bowel disease (IBD). Huanglian Ganjiang decoction (HGD), derived from ancient book Beiji Qianjin Yao Fang, has demonstrated efficacy in treating UC patients traditionally. Previous research established that the compatibility of cold herb Coptidis Rhizoma + Phellodendri Chinensis Cortex (CP) and hot herb Angelicae Sinensis Radix + Zingiberis Rhizoma (AZ) in HGD synergistically improved colitis mice. This study investigated the compatibility mechanisms through which CP and AZ regulated inflammatory balance in colitis mice. The experimental colitis model was established by administering 3% dextran sulphate sodium (DSS) to mice for 7 days, followed by CP, AZ and CPAZ treatment for an additional 7 days. M1/M2 macrophage polarization levels, glucose metabolites levels and pyruvate dehydrogenase kinase 4 (PDK4) expression were analyzed using flow cytometry, Western blot, immunofluorescence and targeted glucose metabolomics. The findings indicated that CP inhibited M1 macrophage polarization, decreased inflammatory metabolites associated with tricarboxylic acid (TCA) cycle, and suppressed PDK4 expression and pyruvate dehydrogenase (PDH) (Ser-293) phosphorylation level. AZ enhanced M2 macrophage polarization, increased lactate axis metabolite lactate levels, and upregulated PDK4 expression and PDH (Ser-293) phosphorylation level. TCA cycle blocker AG-221 and adeno-associated virus (AAV)-PDK4 partially negated CP's inhibition of M1 macrophage polarization. Lactate axis antagonist oxamate and PDK4 inhibitor dichloroacetate (DCA) partially reduced AZ's activation of M2 macrophage polarization. In conclusion, the compatibility of CP and AZ synergistically alleviated colitis in mice through M1/M2 macrophage polarization balance via PDK4-mediated glucose metabolism reprogramming. Specifically, CP reduced M1 macrophage polarization by restoration of TCA cycle via PDK4 inhibition, while AZ increased M2 macrophage polarization through activation of PDK4/lactate axis.
Animals ; Drugs, Chinese Herbal/chemistry* ; Mice ; Macrophages/immunology* ; Glucose/metabolism* ; Pyruvate Dehydrogenase Acetyl-Transferring Kinase/genetics* ; Male ; Mice, Inbred C57BL ; Humans ; Colitis/drug therapy* ; Disease Models, Animal ; Colitis, Ulcerative/drug therapy* ; Metabolic Reprogramming

Objective : To explore the adverse effects of mild traumatic brain injury ( MTBI) on the memory monito- ring function of patients． Methods : This study adopted a paired control research method，combined neuropsycho- logical background tests and memory monitoring task ( feeling of knowing，FOK) to conduct cognitive assessments on two groups of subjects: the patient group ( n = 42) and the matched control group ( n = 42) ． Results : In neuropsychological background test，the patients' performance in digit span test，Stroop color task，digit link task and auditory verbal learning test were significantly lower than those in the control group ( P＜0. 05) ．In addition，there was significant difference in accuracy of FOK task between the two groups ( P ＜0. 05) ．The ratio of right judge- ment / right recognition was relatively high in the control group，while the ratio of correct judgement /wrong recogni- tion was relatively high in the patient group． Conclusion This study confirms that memory impairment in MTBI patients is centered on damage to memory monitoring function．Moreover，the damage to attention，execution，and item content memory abilities in MTBI patients are important driving factors for their memory monitoring dysfunction．

With the continuous improvement of medical information and intelligence, multi-modal data fusion technology is increasingly widely used in the medical field. Multi-modal data not only has a large quantity, but also has rich information content, which can provide strong support for clinical nursing decision-making. However, due to the uneven level of informatization and intelligence development among medical institutions, the development and application of nursing decision support system is still in a fragmented state. Based on this, this study explores in depth the current application status and challenges faced by multi-modal data fusion in nursing decision support systems, with the aim of providing reference for the design and improvement of nursing decision support system at all levels of medical institutions in the future.

With the continuous advancement of information technology, electronic medical records (EMR) have accumulated vast amounts of clinical data, which can assist nursing staff in making clinical decisions, thereby improving the quality of care, enhancing work efficiency, and promoting patient safety. However, due to varying levels of information technology development across medical institutions, nursing decision support systems (NDSS) remain in a fragmented development stage. This article explores the current application status and existing shortcomings of NDSS based on EMR systems, aiming to provide reference for the design and improvement of NDSS in various levels of medical institutions.

With the continuous development of identification technologies such as mass spectrometry,omics,and antibody technology,post-translational modification(PTM)has demonstrated increasing potential in medical research.PTM as a novel chemical modification method provides new perspectives for the research on dis-eases.Succinylation as a novel modification has aroused the interest of more and more researchers.The available studies about succinylation mainly focus on a desuccinylase named sirtuin 5.This enzyme plays a key role in mod-ification and has been preliminarily explored in cardiovascular studies.This paper summarizes the influencing fac-tors and regulatory roles of succinylation and the links between succinylation and other PTMs and reviews the re-search progress of PTMs in the cardiovascular field,aiming to deepen the understanding about the role of this modification and give new insights to the research in this field.

Parkinson′s disease (PD) is a neurodegenerative disorder, and the abnormal levels of its pathological marker ɑ-synuclein (ɑ-syn) are often accompanied by imbalanced heavy metal homeostasis. However, the underlying mechanisms remain unclear, with limited research. This review explores the interactions between iron, copper, zinc, and manganese with pathological ɑ-syn′s abnormal expression, aggregation, and degradation in development and progression of PD. It also discusses potential therapeutic directions for addressing heavy metal imbalances in PD patients.

PCOS is a highly prevalent disease in modern women of gestational age, characterized by infertility. Prevention before onset has been a key focus of national efforts in recent years. This article explored the prevention and treatment plan for polycystic ovary syndrome based on the three-level prevention theory of Academician Wang Qi. Primary prevention: control pathogenic risk factors; secondary prevention: precise screening and life intervention to prevent the formation of dangerous constitution; third level prevention: differentiation of body-differentiation of disease-differentiation of syndrome to achieve the goal of three-level prevention. In the prevention and treatment of PCOS, pre-disease prevention, post disease prevention and cure are tried to achieve, which could provide a truly effective, easy to operate, and applicable three-level prevention and treatment plan for a large population in clinical response to PCOS.

ObjectiveTo determine the serum antibody level and risk factors in the adolescent population in a county in Zhejiang Province， following the immunization with inactivated COVID-19 vaccine， and to construct a prediction model for antibody concentration. MethodsWe conducted the study in a county in Zhejiang Province， employing a stratified cluster random sampling strategy in school children who had received the inactivated COVID-19 vaccine. Data on gender， age， type of vaccine， and time of vaccination was collected. Serum samples were also collected to test for anti-S and N IgG antibody against the SARS-CoV-2 by using chemiluminescent immunoassay （CLIA）. Risk factors were determined to construct a prediction model for antibody concentration. ResultsThe IgG antibody concentration was significantly higher in girls， those who received two doses， and those who had simply received the KX vaccine . It decreased with age and time interval between the sampling and last vaccination. The prediction model constructed by random forest regression in the study had a better model fit and predictive ability than that by the multivariable linear stepwise regression. ConclusionGender， age， vaccination dose， type of vaccine， and time of vaccination are associated with vaccination effectiveness of inactivated COVID-19 vaccines in adolescents. Prediction model could predict the antibody level in the vaccinated population， which can provide a new tool for better evaluation of vaccination effectiveness against emerging infectious diseases in future.