" Lijie and yellowish sweating" originates from the chapter on stroke and arthralgia diseases in Synopsis of Golden Chamber. Later generations typically interpret it as yellow fluid oozing from painful joints, a characteristic manifestation of arthralgia. In Western medicine, Lijie corresponds to diseases such as gouty arthritis, with its primary clinical manifestations being redness, swelling, heat, and painful joints, most often without yellow fluid discharge. Therefore, the interpretation of " Lijie and yellowish sweating" contradicts the clinical manifestations often observed in this disease. Thus, this article reinterprets the meaning of " Lijie and yellowish sweating" from the pathogenesis of " sweat exposure to water, as if water harms the heart" , combined with the viewpoints of other medical practitioners. Determining the meaning of " yellowish sweating" is crucial for understanding the pathogenesis of arthralgia and clarifying the relationship between arthralgia and yellowish sweating. ZHANG Zhongjing mentioned arthralgia and " yellowish sweating" together, not to differentiate between the two diseases but to emphasize the common pathogenesis of the two, namely, the cold and dampness injuring the heart, blood, and vessels. This paper proposes a new explanation of " Lijie and yellowish sweating" , which suggests that " yellowish sweating" is not confined to the joints but can be found all over the body. The pathogenesis of " Lijie and yellowish sweating" lies in the insufficiency of the liver and kidney and exogenous water dampness, leading to disharmony between nutrient qi and defensive qi and between yin and yang. Primary treatment should harmonize yingfen and weifen, as well as tonify and replenish the liver and kidney. The clinical selection of medicines can be considered Guizhi Decotion, a type of formula. The pathogenesis of " Lijie and yellowish sweating" is complex, and clinical treatment should be comprehensively considered to achieve the best therapeutic effect.

As the number of patients with compromised immune function increases and fungal resistance develops, so does the risk of contracting deadly fungi in humans. Both fungi and humans are eukaryotes, so identifying unique targets for antifungal drug development is difficult. In addition, the existing antifungal drugs are limited by toxicity, drug interaction and drug resistance in practical application, which leads to the increasing incidence and fatal rate of fungal infections. Therefore, it is urgent to develop new antifungal drugs. The semi-synthetic technology using microbial fermentation products from natural sources as lead compounds has become the most used method in structural modification of antifungal drugs due to its advantages of few reaction steps and easy operation. This paper will introduce the current status of natural antifungal drugs in clinical use, as well as the latest progress in the research and development of new semi-synthetic antifungal drugs, and summarize their mechanism of action, structural modifications, advantages and disadvantages, so as to provide reference for the subsequent development of new antifungal drugs.

[Objective] To establish a cryopreservation protocol for small-volume (≤1 mL) red blood cells (RBCs) and to evaluate the reactivity and stability of blood group antigens after cryopreservation, so as to explore its potential application in immunohematology reference laboratories. [Methods] Small-volume RBCs were cryopreserved for 120 days, followed by thawing and deglycerolization to restore the RBC components. The quality of the RBCs was assessed. Serum antibodies were serially diluted and reacted with RBCs before and after cryopreservation, and agglutination scores were recorded to quantitatively evaluate the reactivity and stability of blood group antigens such as Rh, Duffy, Lewis, Kidd, M, and H. Flow cytometry was used to analyze the percentage and mean fluorescence intensity of ABO antigen expression on RBCs before and after cryopreservation to assess the usability of cryopreserved RBCs in flow immunophenotyping and blood group subtype studies. [Results] The hemolysis rate of thawed and deglycerolized RBCs was (0.27±0.10)%, with a supernatant free hemoglobin level of (0.52±0.14) g/L, and the RBC recovery rate was (69.12±7.91)%. The direct antiglobulin test (DAT) was negative for all thawed RBCs. There was no difference in the reactivity of blood group antigens before and after cryopreservation, and no difference in the percentage and mean fluorescence intensity of A and B antigen expression on RBCs before and after cryopreservation. [Conclusion] The small-volume RBC cryopreservation protocol can be applied to immunohematology analysis in reference laboratories and is expected to be widely used in blood group identification, antibody screening, identification, and blood group-related research.

Objective To investigate the therapeutic effect and mechanism of Jianwei Xiaozhang Tablets on rats with precancerous lesions of gastric cancer(PLGC).Methods Forty male SD rats were randomly divided into the normal group,the model group,the folic acid group and the Jianwei Xiaozhang Tablets group,with 10 rats in each group.In addition to the normal group,the other three groups of rats were prepared by gavage with Ranitidine Aqueous Solution combined with N-methyl-N'-nitro-N-nitrosoguanidine(MNNG)solution drinking method for the preparation of PLGC model.After successful modeling,drugs were administered accordingly for 7 weeks.The changes in body mass of rats during modeling and drug administration were recorded,the gross view of the stomach was observed and scored pathologically,the coefficients of spleen and liver were determined,the pathological changes in gastric tissue were observed by hematoxylin-eosin(HE)staining,enzyme-linked immunosorbent assay(ELISA)was used to measure serum gastrin(GAS),motilin(MTL)and glucagon(GC),Alisin Blue-Periodic Acid Schiff's(AB-PAS)staining was used to observe the thickness of the mucosal layer of gastric tissues,the expressions of phosphatidylinositol 3-kinase(PI3K),phosphorylated PI3K(p-PI3K),protein kinase B(Akt),phosphorylated Akt(p-Akt),and endothelial-type nitric oxide synthase(eNOS)proteins in gastric tissues were detected by protein immunoblotting(Western Blot),and the expression of vascular endothelial growth factor A(VEGFA)protein in gastric tissues was detected by immunofluorescence staining.Results Compared with the normal group,the body mass of rats in the model group grew slowly during the experimental period,gastric macroscopic pathological scores were significantly increased(P＜0.01),splenic coefficient and hepatic coefficient were significantly decreased(P＜0.01),the gastric tissues showed cuprocyte hyperplasia and intestinal chemotaxis,gastric tissues'inflammation scores were significantly increased(P＜0.01),the serum GAS content was significantly increased(P＜0.01),and the MTL,GC contents were significantly reduced(P＜0.05),and the thickness of the mucous membrane layer of gastric tissue was significantly reduced(P＜0.05),the protein expression levels of PI3K,p-PI3K,Akt,p-Akt and eNOS were reduced(P＜0.01),and the protein expression level of VEGFA was reduced(P＜0.01);compared with the model group,the above indexes of the Jianwei Xiaozhang Tablets group and the folic acid group were all significantly improved(P＜0.05 or P＜0.01),among which,the Jianwei Xiaozhang Tablets group had a better improvement effect in the proliferation of cup cells and intestinal chemotaxis in gastric tissues,the content of serum GAS,and the thickness of the mucous layer in gastric tissues.Conclusion The mechanism of the improvement of PLGC in rats by Jianwei Xiaozhang Tablets may be related to the activation of the PI3K-Akt-eNOS pathway,which in turn promotes the angiogenesis and repair of gastric damaged tissues.

Objective To search,evaluate,and summarize the relevant evidence of blood flow restriction training in elderly patients with sarcopenia,and provide references for medical staff to guide elderly patients to carry out blood flow restriction training to prevent and treat sarcopenia.Methods Computer systems were used to search domestic and foreign databases,relevant guide websites,and professional association websites for guidelines,expert consensuses,expert opinions,clinical decisions,system reviews,recommended practice,and evidence summaries on blood flow restriction training for elderly patients with sarcopenia.The retrieval period was from the inception of databases to March 2023.There were 2 researchers who independently conducted literature quality evaluation,evidence extraction,and integration.Results A total of 14 articles were finally included,including 1 guideline,12 systematic reviews,and 1 expert opinion.A total of 27 pieces of best evidence were summarized from 7 aspects:exercise assessment,exercise mode,pressure parameters,exercise parameters,exercise effects,exercise safety,and evaluation methods.Conclusion This study summarized the best evidence for blood flow restriction training in elderly patients with sarcopenia.It is recommended that medical staff fully consider clinical practice when applying evidence,and develop personalized blood flow restriction training programs based on the exercise preferences and actual situations of the elderly to prevent and treat sarcopenia.

Objective:To evaluate the values of 18F-PI-2620 PET/CT brain imaging with SUV ratio (SUVR) in the assessment of tau protein deposition in the brain of patients with different cognitive disorders and its correlation with cognition. Methods:This was a cross-sectional study. From December 2019 to November 2022, a total of 67 subjects including 54 patients with Alzheimer′s disease (AD; 21 males, 33 females, age (68.6±7.8) years), 7 patients with mild cognitive impairment (MCI; 1 male, 6 females, age (63.1±11.2) years) and 6 healthy controls (HC; 4 males, 2 females, age (69.0±5.8) years) were enrolled retrospectively in Renji Hospital. All participants were examined by 18F-PI-2620 PET/CT. SUVRs of brain regions were obtained, including frontal lobe, temporal lobe, occipital lobe, parietal lobe, insular lobe, whole brain, as well as 10 independent brain ROIs (amygdala, orbitofrontal cortex, cingulate gyrus, superior occipital gyrus, superior parietal gyrus, inferior angular gyrus, precuneus, inferior temporal gyrus, entorhinal cortex and parahippocampal gyrus), with inferior cerebellum cortex as the reference region. All participants were estimated by cognitive scales(mini-mental state examination (MMSE) and Montreal cognitive assessment (MoCA)). One-way analysis of variance and the least significant difference t test were used to compare the differences of SUVR in each brain region among HC, MCI and AD groups. ROC curve analysis was used to determine the optimal cut-off values of SUVR in each brain region for the differential diagnosis of AD-MCI and AD-HC. Pearson correlation analysis was employed to examine the correlations of SUVR with cognitive scale scores. Results:The SUVR of whole brain was 1.40±0.31 in AD group, 1.08±0.19 in MCI group, and 1.01±0.12 in HC group. SUVR analysis in the whole brain and each brain region could distinguish AD from HC, AD from MCI ( F values: 1.76-10.09, t values: 2.98-7.47, all P<0.05), but could not distinguish HC from MCI ( t values: 0.17-1.53, all P>0.05). ROC curve analysis showed that the best cut-off value of SUVR was 1.18 for whole brain (AUC=0.89), 1.13 for amygdala (AUC=0.94) and 1.26 for parahippocampal gyrus (AUC=0.94) for differential diagnosis of AD and HC, which was 1.06 for whole brain (AUC=0.82), 1.18 for amygdala (AUC=0.88) and 1.28 (AUC=0.88) for infratemporal gyrus to differential diagnosis of AD and MCI. SUVRs of the whole brain, frontal, occipital, parietal, temporal and insula were significantly negatively correlated with MMSE and MoCA cognitive scale scores ( r values: from -0.64 to -0.40, all P<0.05). Conclusions:SUVR quantitative analysis in 18F-PI-2620 PET imaging can assist the differential diagnosis of AD and HC, AD and MCI. The SUVRs of whole brain and five lobes show negative correlations with MMSE and MoCA scores.

【Objective】 To understand factors associated with children′s attendance at nursery care institutions (NCIs) and the basic characteristics of the NCIs children were enrolled in, so as to provide scientific evidence for policymakers. 【Methods】 During November 2020 and January 2021, parents who visited the Department of Child Health Care in six selected maternal and children′s hospitals, as well as nearby NCIs in Zhejiang were invited to finish an online questionnaire. Information such as children′s sociodemographic characteristics, parents′ knowledge, attitude and practice regarding nursery and feeding, etc. were collected. A total of 1 756 questionnaires were collected. 【Results】 Compared to children who were not in NCIs, children enrolled in NCIs were older (94.4% of children ≥24 months vs. 30.1%, χ²=835.27), more likely to be from the local area (87.2% vs. 81.4%,χ²=12.25), more likely to have parents with a college degree (mother: 83.6% vs. 74.2%, χ²=35.29; father: 79.9% vs. 70.0%, χ²=27.01), had a higher prevalence of family annual income >200 000 CNY (49.5% vs. 28.2%, χ²=110.49), and were less likely to have their grandparents available to take care of them (16.7% vs. 26.8%, χ²=31.4) The difference all have great significant.(P<0.05). In a multivariate Logistic regression model, the older the child, the more likely they were to attend an NCI (for children aged 6 - 23 months, OR=6.70; for children aged 24 - 35 months, OR=134.03; and for children aged 36 - 42 months, OR=699.33; P<0.05). Family annual income was positively associated with children′s attendance at NCIs (for those earning 100 000 - 200 000 CNY/year, OR=1.63; for those earning 200 000 - 500 000 CNY/year, OR=2.96; and for those earning >500 000 CNY/year, OR=4.62, P<0.05). Conversely, the higher the level of grandparent involvement in daily care, the lower the attendance at NCIs (for children cared for by both parents and grandparents, OR=0.57; for those primarily cared for by grandparents, OR=0.26, P<0.05). For children who used to stay at NCIs, 82.8% stayed at institutions that only recruited children aged 0 - 3 years, 97.4% spent their whole day in NCIs, and 71.4% spent less than 3 000 CNY per month for NCI services. Additionally, over 95% of parents were satisfied with the food and care services in NCIs, as well as their children′s physical development in NCIs. However, 32.1% of NCIs were reported by parents as having no room for breastfeeding. 【Conclusions】 Children′s age, grandparent involvement in routine care, and family annual income are the main factors associated with children′s attendance at NCIs. There is a greater need for more affordable and community-based NCIs, particularly for children under 2 years old. Additionally, more attention should be paid to the quality surveillance, assessment and management of NCIs.

ObjectiveTo investigate the effect of mucin 1 (MUC1) on the proliferation and apoptosis of nasopharyngeal carcinoma (NPC) and its regulatory mechanism. MethodsThe 60 NPC and paired para-cancer normal tissues were collected from October 2020 to July 2021 in Quanzhou First Hospital. The expression of MUC1 was measured by real-time quantitative PCR (qPCR) in the patients with PNC. The 5-8F and HNE1 cells were transfected with siRNA control (si-control) or siRNA targeting MUC1 (si-MUC1). Cell proliferation was analyzed by cell counting kit-8 and colony formation assay, and apoptosis was analyzed by flow cytometry analysis in the 5-8F and HNE1 cells. The qPCR and ELISA were executed to analyze the levels of TNF-α and IL-6. Western blot was performed to measure the expression of MUC1, NF-кB and apoptosis-related proteins (Bax and Bcl-2). ResultsThe expression of MUC1 was up-regulated in the NPC tissues, and NPC patients with the high MUC1 expression were inclined to EBV infection, growth and metastasis of NPC. Loss of MUC1 restrained malignant features, including the proliferation and apoptosis, downregulated the expression of p-IкB、p-P65 and Bcl-2 and upregulated the expression of Bax in the NPC cells. ConclusionDownregulation of MUC1 restrained biological characteristics of malignancy, including cell proliferation and apoptosis, by inactivating NF-κB signaling pathway in NPC.

Objective Recombinase-aided polymerase chain reaction(RAP)is a sensitive,single-tube,two-stage nucleic acid amplification method.This study aimed to develop an assay that can be used for the early diagnosis of three types of bacteremia caused by Staphylococcus aureus(SA),Pseudomonas aeruginosa(PA),and Acinetobacter baumannii(AB)in the bloodstream based on recombinant human mannan-binding lectin protein(M1 protein)-conjugated magnetic bead(M1 bead)enrichment of pathogens combined with RAP. Methods Recombinant plasmids were used to evaluate the assay sensitivity.Common blood influenza bacteria were used for the specific detection.Simulated and clinical plasma samples were enriched with M1 beads and then subjected to multiple recombinase-aided PCR(M-RAP)and quantitative PCR(qPCR)assays.Kappa analysis was used to evaluate the consistency between the two assays. Results The M-RAP method had sensitivity rates of 1,10,and 1 copies/μL for the detection of SA,PA,and AB plasmids,respectively,without cross-reaction to other bacterial species.The M-RAP assay obtained results for<10 CFU/mL pathogens in the blood within 4 h,with higher sensitivity than qPCR.M-RAP and qPCR for SA,PA,and AB yielded Kappa values of 0.839,0.815,and 0.856,respectively(P<0.05). Conclusion An M-RAP assay for SA,PA,and AB in blood samples utilizing M1 bead enrichment has been developed and can be potentially used for the early detection of bacteremia.

People frequently struggle to juggle their work, family, and social life in today’s fast-paced environment, which can leave them exhausted and worn out. The development of technologies for detecting fatigue while driving is an important field of research since driving when fatigued poses concerns to road safety. In order to throw light on the most recent advancements in this field of research, this paper provides an extensive review of fatigue driving detection approaches based on electroencephalography (EEG) data. The process of fatigue driving detection based on EEG signals encompasses signal acquisition, preprocessing, feature extraction, and classification. Each step plays a crucial role in accurately identifying driver fatigue. In this review, we delve into the signal acquisition techniques, including the use of portable EEG devices worn on the scalp that capture brain signals in real-time. Preprocessing techniques, such as artifact removal, filtering, and segmentation, are explored to ensure that the extracted EEG signals are of high quality and suitable for subsequent analysis. A crucial stage in the fatigue driving detection process is feature extraction, which entails taking pertinent data out of the EEG signals and using it to distinguish between tired and non-fatigued states. We give a thorough rundown of several feature extraction techniques, such as topology features, frequency-domain analysis, and time-domain analysis. Techniques for frequency-domain analysis, such wavelet transform and power spectral density, allow the identification of particular frequency bands linked to weariness. Temporal patterns in the EEG signals are captured by time-domain features such autoregressive modeling and statistical moments. Furthermore, topological characteristics like brain area connection and synchronization provide light on how the brain’s functional network alters with weariness. Furthermore, the review includes an analysis of different classifiers used in fatigue driving detection, such as support vector machine (SVM), artificial neural network (ANN), and Bayesian classifier. We discuss the advantages and limitations of each classifier, along with their applications in EEG-based fatigue driving detection. Evaluation metrics and performance assessment are crucial aspects of any detection system. We discuss the commonly used evaluation criteria, including accuracy, sensitivity, specificity, and receiver operating characteristic (ROC) curves. Comparative analyses of existing models are conducted, highlighting their strengths and weaknesses. Additionally, we emphasize the need for a standardized data marking protocol and an increased number of test subjects to enhance the robustness and generalizability of fatigue driving detection models. The review also discusses the challenges and potential solutions in EEG-based fatigue driving detection. These challenges include variability in EEG signals across individuals, environmental factors, and the influence of different driving scenarios. To address these challenges, we propose solutions such as personalized models, multi-modal data fusion, and real-time implementation strategies. In conclusion, this comprehensive review provides an extensive overview of the current state of fatigue driving detection based on EEG signals. It covers various aspects, including signal acquisition, preprocessing, feature extraction, classification, performance evaluation, and challenges. The review aims to serve as a valuable resource for researchers, engineers, and practitioners in the field of driving safety, facilitating further advancements in fatigue detection technologies and ultimately enhancing road safety.