This study aims to investigate the effect of Chaijin Jieyu Anshen Formula on the neuroinflammation of rats with insomnia complicated with depression through the regulation of triggering receptor expressed on myeloid cells 2(TREM2)/complement protein C1q signaling pathway. Rats were randomly divided into a normal group, a model group, a positive drug group, as well as a high, medium, and low-dose groups of Chaijin Jieyu Anshen Formula, with 10 rats in each group. Except for the normal group, the other groups were injected with p-chlorophenylalanine and exposed to chronic unpredictable mild stress to establish the rat model of insomnia complicated with depression. The sucrose preference experiment, open field experiment, and water maze test were performed to evaluate the depression in rats. Enzyme-linked immunosorbent assay was employed to detect serum 5-hydroxytryptamine(5-HT), dopamine(DA), and norepinephrine(NE) levels. Hematoxylin and eosin staining and Nissl staining were used to observe the damage in nucleus accumbens neurons. Western blot and immunofluorescence were performed to detect TREM2, C1q, postsynaptic density 95(PSD-95), and synaptophysin 1(SYN1) expressions in rat nucleus accumbens, respectively. Golgi-Cox staining was utilized to observe the synaptic spine density of nucleus accumbens neurons. The results show that, compared with the model group, Chaijin Jieyu Anshen Formula can significantly increase the sucrose preference as well as the distance and number of voluntary activities, shorten the immobility time in forced swimming test and the successful incubation period of positioning navigation, and prolong the stay time of space exploration in the target quadrant test. The serum 5-HT, DA, and NE contents in the model group are significantly lower than those in the normal group, with the above contents significantly increased after the intervention of Chaijin Jieyu Anshen Formula. In addition, Chaijin Jieyu Anshen Formula can alleviate pathological damages such as swelling and loose arrangement of tissue cells in the nucleus accumbens, while increasing the Nissl body numbers. Chaijin Jieyu Anshen Formula can improve synaptic damage in the nucleus accumbens and increase the synaptic spine density. Compared to the normal group, the expression of C1q protein was significantly higher in the model group, while the expression of TREM2 protein was significantly lower. Compared to the model group, the intervention with Chaijin Jieyu Anshen Formula significantly downregulated the expression of C1q protein and significantly upregulated the expression of TREM2. Compared with the model group, the PSD-95 and SYN1 fluorescence intensity is significantly increased in the groups receiving different doses of Chaijin Jieyu Anshen Formula. In summary, Chaijin Jieyu Anshen Formula can reduce the C1q protein expression, relieve the TREM2 inhibition, and promote the synapse-related proteins PSD-95 and SNY1 expression. Chaijin Jieyu Anshen Formula improves synaptic injury of the nucleus accumbens neurons, thereby treating insomnia complicated with depression.
Animals ; Male ; Rats ; Nucleus Accumbens/metabolism* ; Drugs, Chinese Herbal/administration & dosage* ; Depression/complications* ; Membrane Glycoproteins/genetics* ; Rats, Sprague-Dawley ; Sleep Initiation and Maintenance Disorders/complications* ; Neurons/metabolism* ; Receptors, Immunologic/genetics* ; Signal Transduction/drug effects* ; Synapses/metabolism*

OBJECTIVES: To investigate the genomic characteristics and prognostic factors of juvenile myelomonocytic leukemia (JMML) with RAS mutations. METHODS: A retrospective analysis was conducted on the clinical data of JMML children with RAS mutations treated at the Hematology Hospital of Chinese Academy of Medical Sciences, from January 2008 to November 2022. RESULTS: A total of 34 children were included, with 17 cases (50%) having isolated NRAS mutations, 9 cases (27%) having isolated KRAS mutations, and 8 cases (24%) having compound mutations. Compared to children with isolated NRAS mutations, those with NRAS compound mutations showed statistically significant differences in age at onset, platelet count, and fetal hemoglobin proportion (P<0.05). Cox proportional hazards regression model analysis revealed that hematopoietic stem cell transplantation (HSCT) and hepatomegaly (≥2 cm below the costal margin) were factors affecting the survival rate of JMML children with RAS mutations (P<0.05); hepatomegaly was a factor affecting survival in the non-HSCT group (P<0.05). CONCLUSIONS Children with NRAS compound mutations have a later onset age compared to those with isolated NRAS mutations. At initial diagnosis, children with NRAS compound mutations have poorer peripheral platelet and fetal hemoglobin levels than those with isolated NRAS mutations. Liver size at initial diagnosis is related to the prognosis of JMML children with RAS mutations. HSCT can improve the prognosis of JMML children with RAS mutations.
Humans ; Leukemia, Myelomonocytic, Juvenile/therapy* ; Mutation ; Male ; Female ; Child, Preschool ; Retrospective Studies ; Child ; Infant ; GTP Phosphohydrolases/genetics* ; Membrane Proteins/genetics* ; Adolescent ; Hematopoietic Stem Cell Transplantation ; Proportional Hazards Models ; Proto-Oncogene Proteins p21(ras)/genetics* ; Prognosis

Actinomycosis is a rare chronic granulomatous disease characterized by granuloma formation and tissue fibrosis with sinus tracts,often misdiagnosed due to its similarity to many infectious and non-infectious diseases.This report presents a case of a 60-year-old female with more than 10 years history of rheumatoid arthritis who developed actinomycosis infection after long-term treatment with immunosuppressants and biologics,including methotrexate,leflunomide,and infliximab,leading to recurrent joint pain,poorly controlled rheumatoid arthritis activity,and persistent elevation of white blood cell counts.Abdominal CT revealed a pelvic mass and right ureteral dilation.Pathological examination of cervical tissue showed significant neutrophil infiltration and sulfur granules,indicating actinomycosis.The patient received 18 months of doxycycline treatment for the infection and continued rheumatoid arthritis therapy with leflunomide,hydroxychloroquine sulfate,and tofacitinib,resulting in improved joint symptoms and normalized white blood cell counts.After 2 years of follow-up,the patient remained stable with no recurrence.This case highlights the importance of clinicians being vigilant for infections,particularly chronic,occult infections from rare pathogens,in rheumatoid arthritis patients on potent immunosuppressants and biologics,advocating for early screening and diagnosis.

Objective To explore the determination method of copper content in Chinese medicinal materials and to provide a scientific basis for the quality control of Chinese medicinal materials.Methods A method for rapid determination of copper content in different varieties of Chinese medicinal materials by X-ray fluorescence spectrometry was established.Results The content of copper in the linear range of 6-40 μg·g-1 showed good linearity with the response strength,which met the quantitative analysis requirements.Conclusion This method has the advantages of being simple,fast,and highly sensitive,and it can be used for rapid quality control of copper content in Chinese medicinal materials.

Chronic Urticaria(CU)is a common skin disease involving autoimmunity and allergies,which brings a heavy burden to patients and society.The theory of traditional Chinese medicine"the Lung is combined with the Large Intestine,and the symptoms of large intestine can be reflected from the skin"has long shown that there is a close physiological and pathological relationship between the function of the Large Intestine and the skin.With the modern advancement of the"gut-skin axis"theory,the correlation between gut microbiome and CU has gradually become an emerging focus of research.Adjusting the imbalance of gut microbiome would be a new trend in the clinical treatment of CU.Acupuncture has a beneficial effect of regulating the gut microbiome,and the definite curative effect on CU.Therefore,this article summarized the research progress between the gut microbiome and CU in recent years,in order to discuss the feasibility of acupuncture to treat CU by regulating the gut microbiome,and provide a new idea for the mechanism research of acupuncture in the treatment of CU from the perspective of"treating skin from intestine".

Humans ; Waldenstrom Macroglobulinemia ; Prospective Studies

Objective: To investigate the characteristics of non-alcoholic fatty liver disease (NAFLD) and its associated factors in rheumatoid arthritis (RA) patients. Methods: This cross-sectional study recruited 385 RA patients [including 72 (18.7%) male and 313 (81.3%) female] who received abdominal sonographic examination from August 2015 to May 2021 at Department of Rheumatology, Sun Yat-Sen Memorial Hospital. There were 28 RA patients at 16-29 years old and 32, 80, 121, 99, 25 at 30-39, 40-49, 50-59, 60-69, ≥ 70 years old, respectively. Demographic and clinical data were collected including age, gender, history of alcohol consumption, disease duration, body mass index (BMI), waist circumference, blood pressure, RA disease activity indicators and previous medications. Logistic regression analyses were used to identify the associated factors of NAFLD in RA patients. Results: The prevalence of NAFLD was 24.2% (93/385) in RA patients, 26.3% (21/80) in 40-49 age group and 33.1% (40/121) in 50-59 age group. There were 22.1% (85/385) and 3.6% (14/385) RA patients with overweight and obese, in which the prevalence of NAFLD was 45.9% (39/85) and 78.6% (11/14) respectively, which was 2.6 folds and 4.5 folds that of RA patients with normal BMI. Although there was no significant difference of age, gender and RA disease activity indicators between RA patients with or without NAFLD, those with NAFLD had higher proportions of metabolic diseases including obese (11.8% vs. 1.0%), central obesity (47.3% vs. 16.8%), hypertension (45.2% vs. 29.8%) and type 2 diabetes mellitus (24.7% vs. 12.0%), consistent with higher levels of total cholesterol [(5.33±1.31) mmol/L vs. (4.73±1.12) mmol/L], triglyceride [(1.51±1.08) mmol/L vs. (0.98±0.54) mmol/L] and low-density lipoprotein cholesterol [(3.37±0.97) mmol/L vs. (2.97±0.78) mmol/L, all P<0.05]. Multivariate logistic regression analysis showed that BMI (OR=1.314) and triglyceride (OR=1.809) were the independent factors positively associated with NAFLD in RA patients. Conclusion: NAFLD is a common comorbidity in RA patients, especially in those with middle-aged, overweight or obese, which is associated with high BMI or high triglyceride. Screening and management of NAFLD in RA patients especially those with overweight, obese or dyslipidemia should be emphasized.
Adolescent ; Adult ; Aged ; Arthritis, Rheumatoid/epidemiology* ; Cholesterol, LDL ; Cross-Sectional Studies ; Female ; Humans ; Male ; Middle Aged ; Non-alcoholic Fatty Liver Disease/epidemiology* ; Obesity/epidemiology* ; Overweight/epidemiology* ; Triglycerides ; Young Adult

AIM: To analyze the chemical ingredients of Qingxin-zishen prescription decoction (QZPD) and predict its main pharmacodynamic substances and mechanism in the prevention and treatment of menopause syndrome (MPS) with the help of high performance liquid chromatography-quadrupole-time of flight mass spectrometry (HPLC-Q-TOF/MS) combined with network pharmacology. METHODS: The chemical ingredients of QZPD were identified after analyzing the retention time, exact mass, secondary mass spectrometry fragmentation and other information obtained from HPLC-Q-TOF/MS and comparing them with the established chemical ingredients database and the literatures. The targets of ingredients in QZPD were predicted by Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP) and SwissTargetPrediction database. The disease targets of MPS were obtained through Online Mendelian Inheritance in Man (OMIM) and GeneCards Database. Gene ontology (GO) function enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis of potential targets were analyzed with the Metascape database. Cytoscape 3.7.2 software was used to construct the network of active components-key targets-pathways. AutoDockTools 4.2.5 software was applied in the molecular docking verification between the key active components and key targets. RESULTS: A total of 83 components were identified in QZPD and 847 drug targets were predicted. After intersection them with 3 050 disease targets, 395 common targets were obtained. After network topology analysis, 74 key targets were obtained, involving mitogen-activated protein kinase (MAPK), phosphatidylinositol-3 kinase/protein kinase B (PI3K/Akt), transforming growth factor-β (TGF-β) and other signaling pathways. Molecular docking analysis results indicated that 23 key active components, such as berberine, epiberberine, coptisine, geissoschizine methyl ether, liensinine, norcoclaurine, palmatine, quercetin, and luteolin, had good binding activity with several of the key targets. CONCLUSION: This study preliminarily identifies the potential effective chemical ingredients of QZPD, predicts its targets in the prevention and treatment of MPS, which provides supporting information for the further study of the pharmacodynamic substances and mechanisms of QZPD.

Objective:To describe the real experience of the elderly who has felt happy during the time they stayed at nursing homes, and discuss the meaning which is behind their experience during the COVID-19 pandemic, to provide scientific basis for improving their subjective well-being.Methods:Qualitative explanatory phenomenological analysis methods, and semi-structured in-depth interviews were used to interview 21 elderly people living in Guangzhou Songhe Nursing Home. Data analysis and subject extraction were carried out with reference to the Colaizzi 7-step analysis.Results:The real experience of subjective well-being of the elderly in nursing homes has six themes: be satisfied with the nursing home management service, be satisfied with harmonious interpersonal relationship, be satisfied with good health, be satisfied with family support, grateful and expectations for the social support system, be satisfied with and grateful for the epidemic prevention work during the COVID-19 epidemic.Conclusions:The elderly who live in a nursing home with perfect management and service, care for each other, are healthy, receive family and social support, are grateful, and understand family and social support will be more likely to feel happy. Improving the subjective well-being of the elderly in nursing homes requires the coordination and support of nursing homes, the elderly, families, society and other aspects.

Objective:To establish a disease risk prediction model for the newborn screening system of inherited metabolic diseases by artificial intelligence technology.Methods:This was a retrospectively study. Newborn screening data ( n=5 907 547) from February 2010 to May 2019 from 31 hospitals in China and verified data ( n=3 028) from 34 hospitals of the same period were collected to establish the artificial intelligence model for the prediction of inherited metabolic diseases in neonates. The validity of the artificial intelligence disease risk prediction model was verified by 360 814 newborns ' screening data from January 2018 to September 2018 through a single-blind experiment. The effectiveness of the artificial intelligence disease risk prediction model was verified by comparing the detection rate of clinically confirmed cases, the positive rate of initial screening and the positive predictive value between the clinicians and the artificial intelligence prediction model of inherited metabolic diseases. Results:A total of 3 665 697 newborns ' screening data were collected including 3 019 cases ' positive data to establish the 16 artificial intelligence models for 32 inherited metabolic diseases. The single-blind experiment ( n=360 814) showed that 45 clinically diagnosed infants were detected by both artificial intelligence model and clinicians. A total of 2 684 cases were positive in tandem mass spectrometry screening and 1 694 cases were with high risk in artificial intelligence prediction model of inherited metabolic diseases, with the positive rates of tandem 0.74% (2 684/360 814)and 0.46% (1 694/360 814), respectively. Compared to clinicians, the positive rate of newborns was reduced by 36.89% (990/2 684) after the application of the artificial intelligence model, and the positive predictive values of clinicians and artificial intelligence prediction model of inherited metabolic diseases were 1.68% (45/2 684) and 2.66% (45/1 694) respectively. Conclusion:An accurate, fast, and the lower false positive rate auxiliary diagnosis system for neonatal inherited metabolic diseases by artificial intelligence technology has been established, which may have an important clinical value.