ObjectiveTo explore the potential mechanism of Xianglian Huazhuo prescription （XLHZ） in treating chronic atrophic gastritis （CAG） by regulating cell cycle and inhibiting proliferation， using bioinformatics technology and animal experiments. MethodsDifferential expressed genes （DEGs） related to CAG were screened using GEO database and GEO2R tool. Weighted gene co-expression network analysis （WGCNA） was employed to search for hub genes of CAG. These hub genes were intersected with cell cycle proliferation based on GeneCards database. Eenrichment analysis of the intersecting genes was performed to obtain signaling pathways and biological processes related to CAG. Protein protein interaction （PPI） analysis of genes was conducted using the Protein Interaction Platform （STRING） database to search the super hub gene （hub 2.0）， and animal experiments were conducted for further validation. Fourteen of 70 male Wistar rats were randomly selected as the normal group， and the remaining 56 rats were prepared by the combined modeling method of "starvation disorder+N-methyl-N-nitro-N-nitrosoguanidine （MNNG） + sodium salicylate". The successfully modeled rats were randomly divided into the model group， XLHZ-H， XLHZ-M， and XLHZ-L groups （36， 18， 9 g·kg^-1， respectively）， and Morodan group （1.4 g·kg^-1）. Each group was given corresponding intervention for 60 days. Hematoxylin-eosin （HE） staining was used to observe the histopathological changes of gastric mucosa in rats. The ultrastructure of gastric mucosal tissue cells was observed by transmission electron microscopy. The relative expression levels of TGF-β₁， Smad2 and Smad3 proteins， S/G₂/M phase marker geminin and proliferation marker MCM2 were detected by Western blot in gastric mucosal tissue， and Spearman correlation analysis was performed. ResultsA total of 15 hub 2.0 genes were identified， including TGF-β₁， suggesting the involvement of the TGF-β₁ signaling pathway in the CAG pathogenesis. Compared with the normal group， the expressions of TGF-β₁， Smad2， geminin and MCM2 proteins in the gastric mucosa tissue of the model group were increased （P<0.05）， and the expression of Smad3 protein was decreased （P<0.05）. Compared with the model group， the expressions of TGF-β₁ and geminin in the gastric mucosa were decreased in the drug groups （P<0.05）. The XLHZ-M group， XLHZ-H group and Morodan group had significantly decreased protein expression of Smad2 and MCM2 （P<0.05）. The protein expression of Smad3 was significantly increased in XLHZ-M， XLHZ-H， and Morodan groups （P<0.05）. Spearman correlation analysis showed that Smad3 was negatively correlated with other indicators， and positively correlated with other indicators （P<0.01）. ConclusionXLHZ may inhibit TGF-β₁/Smads signaling pathway， regulate cell cycle， and inhibit proliferation in the treatment of CAG.

ObjectiveTo explore the potential mechanism of Xianglian Huazhuo prescription （XLHZ） in treating chronic atrophic gastritis （CAG） by regulating cell cycle and inhibiting proliferation， using bioinformatics technology and animal experiments. MethodsDifferential expressed genes （DEGs） related to CAG were screened using GEO database and GEO2R tool. Weighted gene co-expression network analysis （WGCNA） was employed to search for hub genes of CAG. These hub genes were intersected with cell cycle proliferation based on GeneCards database. Eenrichment analysis of the intersecting genes was performed to obtain signaling pathways and biological processes related to CAG. Protein protein interaction （PPI） analysis of genes was conducted using the Protein Interaction Platform （STRING） database to search the super hub gene （hub 2.0）， and animal experiments were conducted for further validation. Fourteen of 70 male Wistar rats were randomly selected as the normal group， and the remaining 56 rats were prepared by the combined modeling method of "starvation disorder+N-methyl-N-nitro-N-nitrosoguanidine （MNNG） + sodium salicylate". The successfully modeled rats were randomly divided into the model group， XLHZ-H， XLHZ-M， and XLHZ-L groups （36， 18， 9 g·kg^-1， respectively）， and Morodan group （1.4 g·kg^-1）. Each group was given corresponding intervention for 60 days. Hematoxylin-eosin （HE） staining was used to observe the histopathological changes of gastric mucosa in rats. The ultrastructure of gastric mucosal tissue cells was observed by transmission electron microscopy. The relative expression levels of TGF-β₁， Smad2 and Smad3 proteins， S/G₂/M phase marker geminin and proliferation marker MCM2 were detected by Western blot in gastric mucosal tissue， and Spearman correlation analysis was performed. ResultsA total of 15 hub 2.0 genes were identified， including TGF-β₁， suggesting the involvement of the TGF-β₁ signaling pathway in the CAG pathogenesis. Compared with the normal group， the expressions of TGF-β₁， Smad2， geminin and MCM2 proteins in the gastric mucosa tissue of the model group were increased （P<0.05）， and the expression of Smad3 protein was decreased （P<0.05）. Compared with the model group， the expressions of TGF-β₁ and geminin in the gastric mucosa were decreased in the drug groups （P<0.05）. The XLHZ-M group， XLHZ-H group and Morodan group had significantly decreased protein expression of Smad2 and MCM2 （P<0.05）. The protein expression of Smad3 was significantly increased in XLHZ-M， XLHZ-H， and Morodan groups （P<0.05）. Spearman correlation analysis showed that Smad3 was negatively correlated with other indicators， and positively correlated with other indicators （P<0.01）. ConclusionXLHZ may inhibit TGF-β₁/Smads signaling pathway， regulate cell cycle， and inhibit proliferation in the treatment of CAG.

ObjectiveThis paper aims to explore the risk factors for chronic atrophic gastritis （CAG） with turbidity toxin accumulation syndrome and establish a prediction model. MethodsClinical data of 180 patients with CAG who participated in the "clinical study of Xianglian Huazhuo Particles blocking CAG cancer transformation" of Hebei Sheng Zhong Yi Yuan from July 2021 to March 2022 were collected. After confounding factors were controlled by propensity score matching， patients were divided into a training set （namely dev） and a validation set （namely vad） in a seven to three ratio. The risk factors for CAG with turbidity toxin accumulation syndrome in the training set were investigated by using univariate Logistic regression analysis and least absolute shrinkage and selection operator （namely Lasso） regression algorithms. Subsequently， a model， named model 1se， was developed by using the training set data to predict the risk factors for CAG with turbidity toxin accumulation syndrome. The accuracy of the prediction model was assessed by using various methods， including the receiver operating characteristic （ROC） curve， Hosmer-Lemeshow test （H-L）， calibration plot， and decision curve analysis （DCA）. ResultsAge， body mass index （BMI）， family history of cancer， job and life satisfaction， yellow and greasy fur with slippery pulse， and heavy body sensation were independent risk factors of the model. The prediction model showed excellent predictive value for both the training and validation sets. ConclusionThe established prediction model for CAG with turbidity toxin accumulation syndrome has high discrimination and excellent calibration， which could provide an excellent clinical basis for disease diagnosis and individualized treatment of patients.

ObjectiveThis paper aims to explore the risk factors for chronic atrophic gastritis （CAG） with turbidity toxin accumulation syndrome and establish a prediction model. MethodsClinical data of 180 patients with CAG who participated in the "clinical study of Xianglian Huazhuo Particles blocking CAG cancer transformation" of Hebei Sheng Zhong Yi Yuan from July 2021 to March 2022 were collected. After confounding factors were controlled by propensity score matching， patients were divided into a training set （namely dev） and a validation set （namely vad） in a seven to three ratio. The risk factors for CAG with turbidity toxin accumulation syndrome in the training set were investigated by using univariate Logistic regression analysis and least absolute shrinkage and selection operator （namely Lasso） regression algorithms. Subsequently， a model， named model 1se， was developed by using the training set data to predict the risk factors for CAG with turbidity toxin accumulation syndrome. The accuracy of the prediction model was assessed by using various methods， including the receiver operating characteristic （ROC） curve， Hosmer-Lemeshow test （H-L）， calibration plot， and decision curve analysis （DCA）. ResultsAge， body mass index （BMI）， family history of cancer， job and life satisfaction， yellow and greasy fur with slippery pulse， and heavy body sensation were independent risk factors of the model. The prediction model showed excellent predictive value for both the training and validation sets. ConclusionThe established prediction model for CAG with turbidity toxin accumulation syndrome has high discrimination and excellent calibration， which could provide an excellent clinical basis for disease diagnosis and individualized treatment of patients.

Rhabdomyolysis is a clinical syndrome characterized by damage to the integrity of skel-etal muscle cell membranes,massive release of intracellular contents(such as myoglobin,creatine ki-nase,and electrolytes)into the bloodstream,thereby triggering systemic pathophysiological responses.Its most common and severe complication is acute kidney injury,primarily resulting from the combined effects of myoglobin deposition in renal tubules and renal ischemia.Due to lack of specific early clini-cal manifestations,patients are often misdiagnosed or experience delayed treatment,which can lead to exacerbation of the condition and even life-threatening consequences.This article reports a case of a patient who presented with unexplained rhabdomyolysis at onset and subsequently developed acute kid-ney injury during the course of the disease.A systematic analysis and discussion of the potential etiolo-gy are conducted based on the patient's clinical features and laboratory test results.

Objective:To develop a remote monitoring system for blood counting and temperature of banked blood in the transfusion department based on 2.4G wireless transmission technique with STM32 single-chip,so as to implement remotely dynamic monitoring for counting and temperature of banked blood in transfusion department.Methods:Based on 2.4G wireless transmission technique with STM32 single-chip,the NRF24L01 wireless transceiver was adopted in this design.STM32 single-chip was used as the processor,and QT50 infrared photoelectric sensor was used to sense the counting for stored blood,and LM35DT temperature sensor was used to collect temperature.The display screen adopted high-brightness digital tube of light emitting diode(LED)of Quanhai(QH)series,so as to achieve accurate data transmission and dynamic monitoring for temperature.Results:The measurement for multiple rooms indoors showed that the distance of wireless transmission can reach 45m without delay,and the counting for banked blood was accurate,and the range of controlling temperature was±0.24℃,which controlled precision was higher than that(±1℃)of national standard.It has ultra-high sensitivity for high and low alarm temperature,which buzzer will alarm when the temperature rises to 7℃or falls to 1℃,and the action time was less than 1s.Conclusion:The developed remote monitoring system for blood counting and temperature of banked blood in transfusion department is flexible in use,and it has stable performance,which can timely prevent the occurrence of blood damage,and greatly reduce the workload of transfusion department.It has a broad application prospect.

Objective:To design a phonocardiographic gating device that was used in cardiac magnetic resonance imaging(MRI),so as to explore feasibility of synchronized acquisition for cardiac MRI.Methods:A phonocardiographic gating device was designed,which structure included a head of stethoscope,transmission pipeline,microphone and amplification filtering circuit,computer,and pseudo-electrocardiogram(ECG)trigger output circuit.The computer's runs included phonocardiographic recognition neural network of one-dimensional dilated convolutional layer and gating recurrent unit(GRU)layer,which parameters were determined by pre-train.The feasibility of using the phonocardiographic gating device in acquisition of cardiac MRI was explored by comparing the preparation time of examination and image quality for phonocardiographic gating device and ECG gating technique.Results:The average preparation time for the phonocardiographic gating device was(10.46±1.75)seconds,which was significantly shorter than that for ECG gating technique[(32.07±5.26)seconds](t=-11.02,P＜0.05).There were no statistically significant difference in the clarity of short-axis images of heart at end-systole and end-diastole,and the indicators of cardiac function between the two methods(P＞0.05).Conclusion:The phonocardiographic gating device can replace ECG gating for MRI examinations,which can effectively conduct triggering for phonocardiographic gating while reducing preparation time.It holds clinical application value,especially in equipment with high field strength.

Obstructive sleep apnea syndrome（OSAS）is a common sleep disorder in children，which can cause hypoxemia and hypercapnia，leading to damage to multiple systems and organs in the body，and triggering diseases in neurocognitive function，cardiovascular，metabolic，endocrine，and other aspects.Especially，cognitive impairment is more common，manifested in six aspects：global intelligence，memory，attention，executive function，language and visuospatial ability.The rating scales are important means of collecting data in the psychological assessment of children's developmental behavior，providing important scientific basis for clinical diagnosis and disease observation.This review categorizes and summarizes cognitive function related rating scales for children with OSAS.

In hypoxic-ischemic brain damage (HIBD), the programmed cell death known as ferroptosis is significantly activated. Microglial cells demonstrate a high level of sensitivity to iron accumulation. Understanding how to regulate the dual role of microglia and transforming the microglial ferroptosis to a moderate and controllable process has considerable implications for the targeted treatment in HIBD. This paper serves as an overview of microglia-mediated ferroptosis in HIBD as a disease model. We discuss various aspects centered around microglia, including pathophysiological mechanisms, polarization and functions of microglia, molecular mechanisms of ferroptosis, signaling pathways, and therapeutic strategies. The review aims to provide a reference for studies of ferroptosis in microglia.
Microglia/physiology* ; Ferroptosis/physiology* ; Humans ; Animals ; Hypoxia-Ischemia, Brain/pathology* ; Signal Transduction

Metastatic Crohn's disease (MCD) represents one of the rare cutaneous extraintestinal manifestations in patients with Crohn's disease. The genital area, particularly the vulva in females, is the most commonly affected site in MCD. However, clinical cases of metastatic vulval Crohn's disease (MVCD) are relatively scarce, and the symptoms often lack specificity, making differential diagnosis challenging. This article aims to summarize the clinical characteristics, diagnostic approaches, and treatment modalities of MVCD, thereby providing a reference for the clinical management of this condition.