The dried mature peel of Citrus reticulata, a plant in the Rutaceae family and its cultivated varieties, is a commonly used Chinese medicinal material known as Chenpi(Citri Reticulatae Pericarpium). It is rich in nutritional components and medicinal value, with pharmacological effects including relieving cough and eliminating phlegm, strengthening the spleen and drying dampness, protecting the liver and benefiting the stomach, tonifying Qi, and calming the mind. Huanglongbing(HLB), also known as Citrus Huanglongbing, is a destructive disease in citrus production that seriously threatens the development of the citrus industry. HLB causes symptoms such as the inability of Rutaceae plants to produce mature fruit, gradual weakening of the tree, and eventual death, posing a significant threat to the yield and quality of Chenpi. Due to the uneven distribution of the HLB pathogen in infected plants, accurate detection of the pathogen requires the collection of a large number of plant samples. Current sample pretreatment methods, such as traditional extraction methods and commercial extraction kits, are time-consuming and involve multiple steps, which significantly increase the difficulty and workload of HLB diagnosis and have become a bottleneck in HLB detection. In this study, a rapid high-throughput detection method combining alkali lysis and TaqMan qPCR was developed. This method allows the pretreatment of multiple samples within 5 min, and the entire detection process can be completed within 45 min, with a detection limit of 6.67 fg·μL~(-1). The alkali lysis method and commercial kits were used for parallel detection of field-collected citrus samples, and the results showed no significant difference. The sample pretreatment method established in this study is characterized by low cost, simplicity, and high efficiency. Combined with TaqMan qPCR, it can provide technical support for early and on-site diagnosis of HLB. This method is of great significance for disease prevention and control in the citrus industry and is expected to help improve the yield and quality of citrus medicinal materials.
Citrus/microbiology* ; Plant Diseases/microbiology* ; Rhizobiaceae/physiology* ; High-Throughput Screening Assays/methods* ; Liberibacter/physiology*

OBJECTIVE: To assess the efficacy of Qingda Granule (QDG) in ameliorating hypertension-induced cardiac damage and investigate the underlying mechanisms involved. METHODS: Twenty spontaneously hypertensive rats (SHRs) were used to develope a hypertension-induced cardiac damage model. Another 10 Wistar Kyoto (WKY) rats were used as normotension group. Rats were administrated intragastrically QDG [0.9 g/(kg•d)] or an equivalent volume of pure water for 8 weeks. Blood pressure, histopathological changes, cardiac function, levels of oxidative stress and inflammatory response markers were measured. Furthermore, to gain insights into the potential mechanisms underlying the protective effects of QDG against hypertension-induced cardiac injury, a network pharmacology study was conducted. Predicted results were validated by Western blot, radioimmunoassay immunohistochemistry and quantitative polymerase chain reaction, respectively. RESULTS: The administration of QDG resulted in a significant decrease in blood pressure levels in SHRs (P<0.01). Histological examinations, including hematoxylin-eosin staining and Masson trichrome staining revealed that QDG effectively attenuated hypertension-induced cardiac damage. Furthermore, echocardiography demonstrated that QDG improved hypertension-associated cardiac dysfunction. Enzyme-linked immunosorbent assay and colorimetric method indicated that QDG significantly reduced oxidative stress and inflammatory response levels in both myocardial tissue and serum (P<0.01). CONCLUSIONS Both network pharmacology and experimental investigations confirmed that QDG exerted its beneficial effects in decreasing hypertension-induced cardiac damage by regulating the angiotensin converting enzyme (ACE)/angiotensin II (Ang II)/Ang II receptor type 1 axis and ACE/Ang II/Ang II receptor type 2 axis.
Animals ; Drugs, Chinese Herbal/therapeutic use* ; Hypertension/pathology* ; Renin-Angiotensin System/drug effects* ; Rats, Inbred SHR ; Oxidative Stress/drug effects* ; Male ; Rats, Inbred WKY ; Blood Pressure/drug effects* ; Myocardium/pathology* ; Rats ; Inflammation/pathology*

Objective To establish a method for determining hydrogen sulfide(H2S)in blood and apply it to practical cases.Methods A delute solution was achieved by adding 0.8 mL saturated borax solution into 0.2 mL blood sample was diluted with.1 mL acetonitrile solution containing 0.1％formic acid was then taken in a test tube,followed by adding 0.1 mL dilute solution and 0.1 mL thiozine aqueous solution(1％).After thorough mixing,the mixture was left to stand for 30 minutes.Subsequently,the sample was subjected to liquid chromatography-tandem mass spectrometry(LC-MS/MS)analysis after centrifugation and membrane filtration.Results The results showed that H2S exhibited good linearity within the concentration range of 10～2 000 ng/mL,with the R2 value of 0.998 5.The detection limit was 5 ng/mL,and the quantification limit was 10 ng/mL.In three cases of H2S poisoning,sulfur ions were detected in the blood of the deceased individuals,with concentrations ranging from 0.17 to 0.56 μg/mL.Conclusion For the first time,this study established a LC-MS/MS method for determining H2S in blood,which can meet the detection needs of H2S poisoning cases.

Objective To investigate the attributable risk(AR)of Acinetobacter baumannii(AB)infection in criti-cally ill patients.Methods A multicenter retrospective cohort study was conducted among adult patients in inten-sive care unit(ICU).Patients with AB isolated from sterile body fluid and confirmed with AB infection in each cen-ter were selected as the infected group.According to the matching criteria that patients should be from the same pe-riod,in the same ICU,as well as with similar APACHE Ⅱ score(±5 points)and primary diagnosis,patients who did not infect with AB were selected as the non-infected group in a 1:2 ratio.The AR was calculated.Results The in-hospital mortality of patients with AB infection in sterile body fluid was 33.3％,and that of non-infected group was 23.1％,with no statistically significant difference between the two groups(P=0.069).The AR was 10.2％(95％CI:-2.3％-22.8％).There is no statistically significant difference in mortality between non-infected pa-tients and infected patients from whose blood,cerebrospinal fluid and other specimen sources AB were isolated(P＞0.05).After infected with AB,critically ill patients with the major diagnosis of pulmonary infection had the high-est AR.There was no statistically significant difference in mortality between patients in the infected and non-infec-ted groups(P＞0.05),or between other diagnostic classifications.Conclusion The prognosis of AB infection in critically ill patients is highly overestimated,but active healthcare-associated infection control for AB in the ICU should still be carried out.

Following the principles of evidence-based medicine,in accordance with the structure and drafting rules of standardized documents,based on literature research,according to the characteristics of chronic cough in children and issues that need to form a consensus,the TCM Guidelines for Diagnosis and Treatment of Chronic Cough in Children was formulated based on the Delphi method,expert discussion meetings,and public solicitation of opinions.The guideline includes scope of application,terms and definitions,eti-ology and diagnosis,auxiliary examination,treatment,prevention and care.The aim is to clarify the optimal treatment plan of Chinese medicine in the diagnosis and treatment of this disease,and to provide guidance for improving the clinical diagnosis and treatment of chronic cough in children with Chinese medicine.

Objective:The classification model of prognosis of elderly cancer patients in rural areas of Shaanxi province was constructed based on machine learning algorithm, and its effectiveness was verified, providing reference for early prognosis recognition and intervention treatment.Methods:Using a multicenter, cross-sectional survey method and convenience sampling method, 597 elderly cancer patients in rural areas hospitalized in 9 different medical institutions (Shaanxi Cancer Hospital and its member units of specialty alliance) in Shaanxi Province from July to August 2022 were selected as the research objects, and a variable database of "basic information", "self-care ability", "symptoms", "comprehensive needs" and "quality of life" of elderly cancer patients in rural areas was established. Machine learning and statistical analysis were carried out to explore the important prognostic characteristics of elderly cancer patients in rural areas, and a prognostic classification model for elderly cancer patients in rural areas was constructed and verified.Results:The 597 valid questionnaires were ultimately collected.Among the 597 elderly cancer patients in rural areas, 207 were males and 390 were females, aged (69.56 ± 8.84) years. The results of cluster exploration showed that the prognosis of elderly cancer patients in rural areas was divided into three categories: good, medium and poor. The areas under the working characteristic curves of the subjects in good, medium and poor were 0.84, 0.79 and 0.69, respectively. The results of characteristic exploration showed that 10 indicators of "whether accompanied by metastasis", "distress", "sadness", "numbness", "eating", "walking", "fatigue", "forgetfulness", "fun of life" and "relationship with others" were important characteristic indicators of prognosis evaluation of elderly cancer patients in rural areas. There were statistically significant differences among the 10 important characteristic indicators in the three categories of prognosis of rural elderly cancer patients ( χ2=21.07, H values were 18.51-144.38, all P<0.01). There were statistically significant differences in the three categories of "comprehensive needs", "quality of life", "self-care ability" and "symptoms" ( H values were 519.40, 40.80, 103.69, all P<0.01). Conclusions:The construction and verification of a prognostic classification model for elderly cancer patients in rural areas based on machine learning algorithm can effectively explore the important characteristic indicators and prognostic classification of elderly cancer patients in rural areas, and provide basis and guidance for clinical medical staff to make individualized plans.

Objective To investigate the risk factors for bronchopulmonary dysplasia(BPD)in twin preterm infants with a gestational age of<34 weeks,and to provide a basis for early identification of BPD in twin preterm infants in clinical practice.Methods A retrospective analysis was performed for the twin preterm infants with a gestational age of<34 weeks who were admitted to 22 hospitals nationwide from January 2018 to December 2020.According to their conditions,they were divided into group A(both twins had BPD),group B(only one twin had BPD),and group C(neither twin had BPD).The risk factors for BPD in twin preterm infants were analyzed.Further analysis was conducted on group B to investigate the postnatal risk factors for BPD within twins.Results A total of 904 pairs of twins with a gestational age of<34 weeks were included in this study.The multivariate logistic regression analysis showed that compared with group C,birth weight discordance of>25%between the twins was an independent risk factor for BPD in one of the twins(OR=3.370,95%CI:1.500-7.568,P<0.05),and high gestational age at birth was a protective factor against BPD(P<0.05).The conditional logistic regression analysis of group B showed that small-for-gestational-age(SGA)birth was an independent risk factor for BPD in individual twins(OR=5.017,95%CI:1.040-24.190,P<0.05).Conclusions The development of BPD in twin preterm infants is associated with gestational age,birth weight discordance between the twins,and SGA birth.

Background: and Purpose CGG repeat expansion in the 5' untranslated region (5'UTR) of the Notch 2 N-terminal-like C gene (NOTCH2NLC) has been associated with neuronal intranuclear inclusion disease (NIID) and oculopharyngodistal myopathy type 3 (OPDM3). Few OPDM3 patients have been reported. This report describes two OPDM3 patients with novel imaging findings who presented the typical features of NIID, and reviews all OPDM3 cases available in the literature. Methods: The available clinical, imaging, and pathological information was reviewed and investigated. CGG repeat expansion in the 5'UTR of NOTCH2NLC was tested using the repeatprimed polymerase chain reaction (PCR), followed by the fluorescence amplicon-length PCR to determine the number of CGG repeats. Results: Our two OPDM3 patients and most patients reported in the literature developed the typical clinical characteristics of NIID, including leukoencephalopathy, peripheral neuropathy, cognitive deterioration, pigmentary retinopathy, ataxia, tremor, acute encephalitis-like episodes, pigmentary retinopathy, miosis, and sensorineural hearing loss. In addition to typical imaging findings of NIID, our two patients exhibited diffusion weighted imaging (DWI) hyperintensities in the middle cerebellar peduncles, which have not been described previously. Muscle biopsies revealed rimmed vacuoles and p62-positive intranuclear inclusions in the myofibers in both patients. The skin biopsy performed in one patient detected typical eosinophilic intranuclear inclusions. Genetic analysis identified CGG repeat expansion in NOTCH2NLC as the causative mutation in the two patients. Conclusions Our two patients with OPDM3 had clinical characteristics of NIID and exhibited DWI abnormality in the cerebellum. Our results indicate that OPDM3 is within the spectrum of NIID and that DWI hyperintensities in the cerebellum are helpful for diagnosing NIID or OPDM3.

Background: and Purpose CGG repeat expansion in the 5' untranslated region (5'UTR) of the Notch 2 N-terminal-like C gene (NOTCH2NLC) has been associated with neuronal intranuclear inclusion disease (NIID) and oculopharyngodistal myopathy type 3 (OPDM3). Few OPDM3 patients have been reported. This report describes two OPDM3 patients with novel imaging findings who presented the typical features of NIID, and reviews all OPDM3 cases available in the literature. Methods: The available clinical, imaging, and pathological information was reviewed and investigated. CGG repeat expansion in the 5'UTR of NOTCH2NLC was tested using the repeatprimed polymerase chain reaction (PCR), followed by the fluorescence amplicon-length PCR to determine the number of CGG repeats. Results: Our two OPDM3 patients and most patients reported in the literature developed the typical clinical characteristics of NIID, including leukoencephalopathy, peripheral neuropathy, cognitive deterioration, pigmentary retinopathy, ataxia, tremor, acute encephalitis-like episodes, pigmentary retinopathy, miosis, and sensorineural hearing loss. In addition to typical imaging findings of NIID, our two patients exhibited diffusion weighted imaging (DWI) hyperintensities in the middle cerebellar peduncles, which have not been described previously. Muscle biopsies revealed rimmed vacuoles and p62-positive intranuclear inclusions in the myofibers in both patients. The skin biopsy performed in one patient detected typical eosinophilic intranuclear inclusions. Genetic analysis identified CGG repeat expansion in NOTCH2NLC as the causative mutation in the two patients. Conclusions Our two patients with OPDM3 had clinical characteristics of NIID and exhibited DWI abnormality in the cerebellum. Our results indicate that OPDM3 is within the spectrum of NIID and that DWI hyperintensities in the cerebellum are helpful for diagnosing NIID or OPDM3.