It is proposed that cold qi-induced accumulation encapsulates the core pathogenesis of the inflammation-cancer transformation in inflammatory bowel disease （IBD）. Cold pathogens may serve as the initiating factor. When first invading the intestines， cold pathogens obstruct the flow of qi； over time， the lingering cold impairs the middle jiao （焦）， eventually leading to the accumulation of cold-phlegm and blood stasis. Based on the progressive nature of this transformation， the process can be divided into three stages， active stage， remission stage， and carcinogenic stage. In the active stage， the main pathogenesis involves stagnation of cold qi and accumulation of damp-heat in the intestines； in the remission stage， cold qi impairs the spleen， disrupting its transport and transformation functions； and in the carcinogenic stage， the mechanisms include cold-induced accumulation， phlegm accumulation from cold， and stagnation of cold and blood stasis. Accordingly， the treatment strategies are proposed.In the active stage， regulating qi， relieving stagnation， and harmonizing cold and heat； in the remission stage， warming yang， dispersing cold， tonifying qi， and strengthening the spleen； and in the carcinogenic stage， promoting qi circulation， dispersing cold， resolving phlegm， activating yang， and eliminating stasis to remove accumulation. These approaches aim to interrupt the transformation of IBD into colorectal cancer.

ObjectiveThis study aims to reveal the mechanism of liver and kidney injuries caused by Dictamni Cortex and its interrelationship by metabonomics analysis of liver and kidney via ultra-performance liquid chromatography-quadrupole-time-of-flight mass spectrometry （UPLC-Q-TOF-MS）. MethodsThe content of the marker compounds of Dictamni Cortex was measured by high-performance liquid chromatography （HPLC） to carry out quality control. Sprague Dawley （SD） rats were randomly divided into a blank group （normal saline）， an administration group （0.9， 2.7， 8.1 g·kg^-1）， and a high-dose withdrawal control group， with eight rats in each group. Continuous administration was performed once daily for 28 days. The liver and kidney injuries caused by each administration group were assessed by organ indices， pathological observations， and serum and plasma biochemical indices measured by enzyme-linked immunosorbent assay （ELISA）. The potential biomarkers of liver and kidney injuries caused by Dictamni Cortex were screened， and pathway enrichment analysis and correlation analysis were performed based on UPLC-Q-TOF-MS. ResultsCompared with the blank group， both the medium- and low-dose groups showed insignificant damage to the liver and kidney of rats. The high-dose group exhibited the most serious damage， and the level of liver and kidney function indices ［alanine aminotransferase （ALT）， aspartate aminotransferase （AST）， creatinine （Cr）， and blood urea nitrogen （BUN）］ and serum inflammatory indices （［interleukin 1β （IL-1β）， IL-6， and tumor necrosis factor-α （TNF-α）］ in the serum were significantly changed （P<0.01）. The liver and kidney metabolism pathways and differential metabolites were quite different. Among them， phenylalanine metabolism， niacin and nicotinamide metabolism， and glycerophospholipid metabolism were common pathways. Correlation analysis of differential metabolites showed that there were significant correlations among disorders of 4′-Phosphopantothenoylcysteine， PC （16∶0/15∶0）， phenylethylamine， arachidonic acid， and linoleic acid in liver and kidney tissue. ConclusionThe decoction of Dictamni Cortex can cause liver and kidney injuries， and its mechanism may be related to oxidative stress and lipid metabolism disorders. The correlation of differential metabolites indicates the interaction between liver and kidney injuries.

ObjectiveTo explore the mechanism of the immunotoxicity induced by dictamnine （DIC） in rats and the recovery effect after drug withdrawal by ultra-performance liquid chromatography-quadrupole-time-of-flight mass spectrometry， thereby providing a theoretical basis for elucidating the toxic mechanism of DIC. MethodsSD rats were randomized into blank （normal saline）， DIC （10 mg·kg^-1）， and DIC withdrawal （recovery period） groups （n=8）. The rats were continuously treated for 7 days， once a day， and the body weight and organ weight were recorded. The levels of interleukin-1 （IL-1）， IL-6， and tumor necrosis factor-α （TNF-α） in the serum and immunoglobulin A （IgA）， immunoglobulin G （IgG）， and immunoglobulin M （IgM） in the spleen were determined by enzyme-linked immunosorbent assay. Hematoxylin-eosin staining was used to observe the pathological changes in the spleen. ultra performance liquid chromatography quadrupole time-of-flight mass spectrometry （UPLC-Q-TOF-MS） was employed to screen the potential biomarkers of immune inflammation caused by DIC， and pathway enrichment analysis and correlation analysis were performed. The mRNA levels of IL-1β， TNF-α， lysophosphatidylcholine acyltransferase 2 （LPCAT2）， and farnesoid X receptor （FXR） in the serum were determined by Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR）. ResultsCompared with the blank group， the DIC group showed elevated levels of IL-1β， IL-6， and TNF-α in the serum （P<0.01）， and the DIC withdrawal group showcased lowered levels of IL-1β， IL-6， and TNF-α in the serum （P<0.01）. The levels of IgA， IgG， and IgM in the spleen of rats in the DIC group were decreased （P<0.01）， while those in the DIC withdrawal group were recovered （P<0.05， P<0.01）. Untargeted metabolomics of the serum and spleen screened out 14 common differential metabolites and 14 common metabolic pathways. The Spearman correlation analysis between differential metabolites and inflammatory factors identified PC （32∶0）， LysoPC （20∶4/0∶0）， LysoPC （P-18∶0/0∶0）， taurochenodeoxycholic acid， taurocholic acid， LysoPC ［20∶5（5Z，8Z，11Z，14Z，17Z）/0∶0］， chenodeoxycholic acid， arachidonic acid， LysoPC （18∶0/0∶0）， LysoPC （15∶0/0∶0）， LysoPC （16∶0/0∶0）， and LysoPC （17∶0/0∶0） as the biomarkers of immunotoxicity induced by DIC in SD rats. In the process of immunotoxicity caused by DIC， lipid metabolism disorders such as glycerophospholipid metabolism， primary bile acid metabolism， and arachidonic acid metabolism were enriched， which was consistent with the DIC-induced inflammatory factors and pathological characteristics of the spleen. Compared with the blank group， the DIC group exhibited up-regulated mRNA levels of IL-1β， TNF-α， LPCAT2， and FXR （P<0.01）， and the up-regulation was decreased in the withdrawal group （P<0.01）. ConclusionDIC can lead to immune and inflammatory disorders. DIC withdrawal can regulate the expression of biomarkers related to serum and spleen metabolites， regulate the inflammatory metabolic pathway， reduce the inflammation level， and alleviate the metabolic disorders， thus attenuating the potential toxicity induced by DIC.

Objective To expore the effect of fibroblast exosomes from diabetic rats on wound healing.Methods Male SD rats were randomly divided into diabetes mellitus group(DM group,n=12)and normal control group(NC group,n=15).Fibroblast exosomes were extracted and identified.After digestion of human epidermal keratinocyte line(HEK-a)and human epidermal microvascular endothelial cell line(HMEC-1),the cells were divided into diabetes exosomes group(DM-EOXa group),normal exosomes group(N-EXOa group)and normal control group(NCa group).CCK8 was used todetect the proliferation of fibroblast.fifteen male SD rats were randomly divided into diabetes exosomes group(DM-EXOb group),normal exosomes group(N-EXOb group)and normal control group(NCb group),with 5 rats in each group.Full-thickness wounds were created on rats back,and fibroblast exosomes were used to intervene wound healing.The wound healing was compared on 3th,7th,10th,and 14th day in each group.Results The proliferation of HEK-a and HMEC-1 was higher in N-EXOa and DM-EXOa groups than in NCa group(P<0.05).On the 7th,10th and 14th day,the average wound rate was lower in N-EXOb group than in NCb and DM-EXOb groups(P<0.05 or P<0.01).On the 10th day,the average wound rate was lower in NCb group than in DM-EXOb group(P<0.05).Conclusions Normal fibroblast exosomes can promote wound healing,while diabetic fibroblast exosomes from diabetic rats have no effect on wound healing,and even inhibit wound healing.

Tumor immunity permeates the entire process of tumorigenesis and development, and influences the prognosis of patients. Immunosuppressive tumor microenvironment and reduced immunogenicity of tumor cells can help tumor cells escape from T cell attack, leading to immune evasion. N6-methyladenosine, one of the most common modifications of eukaryotic messenger RNA, has been reported to regulate tumorigenesis, metastasis and drug resistance. Recent studies revealed that N6-methyladenosine plays an important role in tumor immune evasion. This article summarizes the role and molecular mechanisms of N6-methyladenosine modification in tumor immune evasion in immune cells and tumor cells, and discusses the potential value and challenges of targeting N6-methyladenosine regulatory molecules in combination with immunotherapy to improve anti-tumor efficacy, in order to provide new ideas for tumor immunotherapy.

ObjectiveTo investigate the effects of Huashi Runzao prescription （HRP） on the histopathological injury and function of submandibular gland in naive non-obese diabetic （NOD/Ltj） mouse model of Sjögren's syndrome （SS） and its regulatory effect on aquaporin 5 （AQP5） expression in submandibular gland cells. MethodThe SS model was induced in NOD/Ltj mice. The NOD/Ltj female mice aged nine weeks were selected and randomly assigned into model group，HRP group （7.15 g·kg^-1·d^-1），and hydroxychloroquine （HCQ） group （1.30 g·kg^-1·d^-1）， and female BALB/c mice in the same age were selected and assigned into the normal group， with six mice in each group. Drug intervention lasted eight weeks. The water consumption and salivary flow rate （SFR） of each group were recorded. The pathological staining results of the submandibular gland of mice in each group were observed and scored. AQP5 expression was determined by immunohistochemistry （IHC） and Western blot. ResultCompared with the normal group， the model group showed increased water consumption （P<0.05） and reduced SFR （P<0.05）. Compared with the model group， the HRP group showed decreased water consumption （P<0.05） and increased SFR （P<0.05）， and the HCQ group showed increased SFR （P<0.05）. In terms of histopathological results of the submandibular gland，compared with the normal group，the model group showed increased pathological score， number of lymphocyte infiltration foci，and percentage of lymphatic infiltration area （P<0.05）. Compared with the model group， the HRP group showed reduced pathological scores and number of lymphocyte infiltration foci （P<0.05）， and the HRP group and the HCQ group showed reduced percentage of lymphatic infiltration area（P<0.05）. The results of IHC and Western blot showed that compared with the normal group，the model group showed down-regulated expression level of AQP5 protein （P<0.05）， and compared with the model group and the HCQ group，the HRP group showed up-regulated expression level of AQP5 protein （P<0.05）. ConclusionHRP can improve the secretion function of submandibular gland acinous cells and glandular structure injury in SS model mice， and its mechanism may be related to the up-regulation of AQP5 protein expression level in submandibular gland cells.

ObjectiveTo observe the efficacy and safety of Huashi Runzao prescription for patients with primary Sjögren's syndrome （pSS） of combined dryness and dampness pattern. MethodA total of 105 eligible patients were randomized into the experimental group （65 cases） and control group （40 cases）， and they were respectively treated with Huashi Runzao prescription and hydroxychloroquine for 12 weeks. Visual Analogue Scale （VAS） was employed to assess the symptoms. The symptoms of dryness， fatigue， and pain， European League Against Rheumatism （EULAR） Sjögren's Syndrome Patient Reported Index （ESSPRI）， EULAR Sjögren's syndrome disease activity index （ESSDAI）， and immune inflammatory indicators before and after treatment were compared between the two groups， and adverse reactions were observed. ResultAfter treatment， the ESSPRI score was lower than that before treatment in the experimental groups （P<0.01） and was lower in the experimental group than in the control group （P<0.05）. The VAS scores of dry mouth， dry eyes， overall dryness， fatigue， and pain in the experimental group decreased compared with those before treatment （P<0.01）， and the experimental group had lower VAS scores of dry mouth and overall dryness than the control group （P<0.01）. After treatment， the ESSDAI score of both groups decreased compared with that before treatment （P<0.05， P<0.01）， but there was no significant difference between the groups. After treatment， the level of immunoglobulin M （IgM） decreased （P<0.01） and the level of complement C3 increased （P<0.01） in the experimental group， while the level of complement C3 decreased in the control group （P<0.05）. There was no significant difference in the laboratory indexes between groups. During the treatment， stomachache occurred to one case in the experimental group， which was alleviated after the treatment， and no adverse reaction was observed in the control group. According to the chi-square test， the occurrence of adverse reactions was insignificantly different between the two groups. ConclusionHuashi Runzao prescription can alleviate the symptoms of dryness， fatigue， and pain， and reduce disease activity without associated side effects in pSS patients with combined dampness and dryness pattern.

OBJECTIVE: To explore clinical rules based on the big data of the emergency department of the Second Affiliated Hospital of Guangzhou Medical University, and to establish an integrated platform for clinical research in emergency, which was finally applied to clinical practice. METHODS: Based on the hospital information system (HIS), laboratory information system (LIS), emergency specialty system, picture archiving and communication systems (PACS) and electronic medical record system of the Second Affiliated Hospital of Guangzhou Medical University, the structural and unstructured information of patients in the emergency department from March 2019 to April 2022 was extracted. By means of extraction and fusion, normalization and desensitization quality control, the database was established. In addition, data were extracted from the database for adult patients with pre screening triage level III and below who underwent emergency visits from March 2019 to April 2022, such as demographic characteristics, vital signs during pre screening triage, diagnosis and treatment characteristics, diagnosis and grading, time indicators, and outcome indicators, independent risk factors for poor prognosis in patients were analyzed. RESULTS: (1) The data of 338 681 patients in the emergency department of the Second Affiliated Hospital of Guangzhou Medical University from March 2019 to April 2022 were extracted, including 15 modules, such as demographic information, triage information, visit information, green pass and rescue information, diagnosis information, medical record information, laboratory examination overview, laboratory information, examination information, microbiological information, medication information, treatment information, hospitalization information, chest pain management and stroke management. The database ensured data visualization and operability. (2) Total 140 868 patients with pre-examination and triage level III and below were recruited from the emergency department database. The gender, age, type of admission to the hospital, pulse, blood pressure, Glasgow coma scale (GCS) and other indicators of the patients were included. Taking emergency admission to operating room, emergency admission to intervention room, emergency admission to intensive care unit (ICU) or emergency death as poor prognosis, the poor prognosis prediction model for patients with pre-examination and triage level III and below was constructed. The receiver operator characteristic curve and forest map results showed that the model had good predictive efficiency and could be used in clinical practice to reduce the risk of insufficient emergency pre-examination and triage. CONCLUSIONS The establishment of high-quality clinical database based on big data in emergency department is conducive to mining the clinical value of big data, assisting clinical decision-making, and improving the quality of clinical diagnosis and treatment.
Adult ; Humans ; Big Data ; Emergency Service, Hospital ; Triage/methods* ; Intensive Care Units ; Hospitalization ; Retrospective Studies

OBJECTIVES: Polycystic ovary syndrome (PCOS) is one of the most common endocrine diseases in women with reproductive age, which is associated with hyperandrogenism, insulin resistance, and ovulatory dysfunction. Progesterone receptor membrane component 1 (PGRMC1) can mediate progesterone to inhibit the apoptosis of ovarian granulosa cells and the growth of follicles, and to induce glucolipid metabolism disorder in ovarian granulosa cells, which is closely related to the occurrence and development of PCOS. This study aims to determine the expression of PGRMC1 in serum, ovarian tissue, ovarian granulosa cells, and follicular fluid in PCOS patients and non-PCOS patients, analyze the value of PGRMC1 in diagnosis and prognosis evaluation of PCOS, and investigate its molecular mechanism on ovarian granulosa cell apoptosis and glucolipid metabolism. METHODS: A total of 123 patients were collected from the Department of Obstetrics and Gynecology in Guangdong Women and Children Hospital (hereinafter referred to as "our hospital") from August 2021 to March 2022 and divided into 3 groups: a PCOS pre-treatment group (n=42), a PCOS treatment group (n=36), and a control group (n=45). The level of PGRMC1 in serum was detected by enzyme linked immunosorbent assay (ELISA). The diagnostic and prognostic value of PGRMC1 was evaluated in patients with PCOS by receiver operating characteristic (ROC) curve. Sixty patients who underwent a laparoscopic surgery from the Department of Obstetrics and Gynecology in our hospital from January 2014 to December 2016 were collected and divided into a PCOS group and a control group (n=30). The expression and distribution of PGRMC1 protein in ovarian tissues were detected by immunohistochemical staining. Twenty-two patients were collected from Reproductive Medicine Center in our hospital from December 2020 to March 2021, and they divided into a PCOS group and a control group (n=11). ELISA was used to detect the level of PGRMC1 in follicular fluid; real-time RT-PCR was used to detect the expression level of PGRMC1 mRNA in ovarian granulosa cells. Human ovarian granular cell line KGN cells were divided into a scrambled group which was transfected with small interfering RNA (siRNA) without interference and a siPGRMC1 group which was transfected with specific siRNA targeting PGRMC1. The apoptotic rate of KGN cells was detected by flow cytometry. The mRNA expression levels of PGRMC1, insulin receptor (INSR), glucose transporter 4 (GLUT4), very low density lipoprotein receptor (VLDLR), and low density lipoprotein receptor (LDLR) were determined by real-time RT-PCR. RESULTS: The serum level of PGRMC1 in the PCOS pre-treatment group was significantly higher than that in the control group (P<0.001), and the serum level of PGRMC1 in the PCOS treatment group was significantly lower than that in the PCOS pre-treatment group (P<0.001). The areas under curve (AUC) of PGRMC1 for the diagnosing and prognosis evaluation of PCOS were 0.923 and 0.893, respectively, and the cut-off values were 620.32 and 814.70 pg/mL, respectively. The positive staining was observed on both ovarian granulosa cells and ovarian stroma, which the staining was deepest in the ovarian granulosa cells. The average optical density of PGRMC1 in the PCOS group was significantly increased in ovarian tissue and ovarian granulosa cells than that in the control group (both P<0.05). Compared with the control group, the PGRMC1 expression levels in ovarian granulosa cells and follicular fluid in the PCOS group were significantly up-regulated (P<0.001 and P<0.01, respectively). Compared with the scrambled group, the apoptotic rate of ovarian granulosa cells was significantly increased in the siPGRMC1 group (P<0.01), the mRNA expression levels of PGRMC1 and INSR in the siPGRMC1 group were significantly down-regulated (P<0.001 and P<0.05, respectively), and the mRNA expression levels of GLUT4, VLDLR and LDLR were significantly up-regulated (all P<0.05). CONCLUSIONS Serum level of PGRMC1 is increased in PCOS patients, and decreased after standard treatment. PGRMC1 could be used as molecular marker for diagnosis and prognosis evaluation of PCOS. PGRMC1 mainly localizes in ovarian granulosa cells and might play a key role in regulating ovarian granulosa cell apoptosis and glycolipid metabolism.
Child ; Pregnancy ; Humans ; Female ; Polycystic Ovary Syndrome ; Apoptosis ; Granulosa Cells ; Lipid Metabolism ; Membrane Proteins ; Receptors, Progesterone

Objective:To explore the feasibility and accuracy of three-dimensional (3D) modeling methods based on ultrasound imaging data for normal and abnormal fetal cardiac structures, and to construct a methodology system for 3D printing of fetal heart based on ultrasound.Methods:A total of 93 fetuses examined in Tangdu Hospital of Air Force Military Medical University from January to December 2019 were selected. Fetal echocardiography was obtained using spatio-temporal image correlation (STIC). Ninety-three hearts were 3D modeled by blood flow modeling, blood pool modeling and cavity modeling, and printed by stereolithography technique. The data measured on the 3D digital models and 3D printed solid models were compared with the corresponding fetal echocardiographic images respectively in order to evaluate the accuracy of the modeling methods.Results:The fetal cardiac blood flow models based on Doppler flow image data showed the malformation and trend of small blood vessels. The fetal cardiac structure models printed based on blood pool modeling displayed the malformation of heart and large blood vessels. Models printed based on cavity modeling method accurately displayed valve and structural defects.For 83 normal fetal hearts, the long diameters of left and right ventricles measured on echocardiography [(15.3±1.9)mm, (13.2±1.9)mm] were compared with those measured on digital models [(15.1±1.9)mm, (12.9±1.9)mm] and 3D printed models[(15.1±1.9)mm, (13.0±1.9)mm], respectively, and there were no significant differences between any two groups of them ( P>0.05). Bland-Altman showed good consistency for all measurements within and between operators. Conclusions:The three modeling methods, including blood flow modeling, blood pool modeling and cavity modeling, have their own advantages in displaying different types of fetal heart malformations. Appropriate modeling methods should be selected for 3D modeling and printing to make up for the limitations of single modeling method. The consistency between measurements on 3D models and those on echocardiography is high, and the repeatability between operators is good.