Home Value of brain injury-related indicators based on neural network in the diagnosis of neonatal hypoxic-ischemic encephalopathy
Article Open Access

Value of brain injury-related indicators based on neural network in the diagnosis of neonatal hypoxic-ischemic encephalopathy

  • Lijun Wang EMAIL logo
Published/Copyright: August 30, 2023

Abstract

Neonatal hypoxic ischemic encephalopathy is a common disease, which is caused by fetal hypoxia, asphyxia, and other reasons. It may cause sequelae of the nervous system and even death in children. Computer tomography examination can clarify the scope and location of the disease and provide the basis for clinical treatment and prognosis. Relevant personnel analyzed the symptoms of ischemic hypoxia and found that ischemia and hypoxia were the main causes of encephalopathy. Neonatal ischemia and hypoxia are easy to cause serious damage. At present, with the development of medicine, the function of the human brain is the most important issue in natural science. The law of neural activity and the role of molecular cells, organs, and systems have fundamental construction significance for the prevention and treatment of nerve and mental diseases. By analyzing the value of the diagnosis of neonatal hypoxic-ischemic encephalopathy in the analysis of experimental data, by setting the newborns in the controlled group and the trial group as experimental subjects, this paper analyzed the situation of newborns in terms of body temperature, body weight, and respiratory rate, and used Apgar score to score these standards. It was found that the score of the controlled group was 7 and above, and the score of the trial group was below 7. It was found that the Apgar scoring method was more simple. Then, the newborns were analyzed by cord blood gas analysis. It was found that most of the data in the control group were between 7.8 and 8.4, and the data in the trial group were between 5.8 and 7.1. The umbilical blood gas analysis score of the experimental group was lower than that of the control group. By comparing the satisfaction of cord blood gas analysis and the Apgar score, it was found that the satisfaction of cord blood gas analysis was 24.06% higher than that of the Apgar score.

1 Introduction

Hypoxic-ischemic brain damage is a common neonatal disease. Due to the incomplete development of children’s body tissues, brain tissue damage caused by hypoxia and other reasons is very serious. Hypoxic ischemic brain damage is an important factor in the onset of neonatal disease. Relevant studies have shown that the location of the disease has a great relationship with age, and the results and treatment principles vary with age. Early detection and preventive measures play an important role in reducing neonatal mortality. Neonatal hypoxic-ischemic encephalopathy is caused by ischemic hypoxia, and the main reason is hypoxia, which is easy to cause fetal life risk. In the process of production, abnormal fetal heart rate and placenta are easy to cause hypertension in pregnant women and prenatal fever, and thus lead to difficulties in production.

In the past, the diagnosis was mainly based on the history of hypoxia, clinical symptoms, and imaging, and imaging examination was the necessary means of diagnosis. Mollayeva Tatyana has studied and focused on neurological issues, including fragility and injury treatment, and gender trends. In the context of neural problems, two different methods were analyzed [1]. Edlow et al. put forward new ideas on advanced horizontal neuroimaging technology, identified the brain network of patients, and provided directions for diagnosis and prediction. They also activated the damaged neural network and radiated new potential, discussed the latest progress in detection and prediction, and provided opportunities to improve the symptoms of patients [2]. Hutchinson et al. detected brain tissue, improved quantitative methods, and assessed the pathological mechanisms, and caused neurobiological complexity research. The physical environment information was provided for the study of microstructure characteristics, the implementation of the constructed model, and the interpretation of measurements [3]. Cronberg et al. assessed the patient’s nervous system, combined with the analysis of neurologists and physiologists, and found that excessive prediction would lead to serious disease status. If the patient was not treated in time, it would lead to the patient missing the timely treatment opportunity. At present, the prediction tools include physiological tests and chemical image biomarkers. It is necessary to clear sedative drugs after drug withdrawal and provide sufficient information for patients to recover [4]. The neural network has good advantages in the diagnosis of central nervous system diseases and can comprehensively reflect pathological changes. It is an important research field of medical research.

In the application of neonatal ischemic hypoxic encephalopathy, the diagnosis, and treatment of neonatal ischemic hypoxic encephalopathy were analyzed. Wang et al. surveyed medical management by using the method of horizontal survey and used the methods of statistics and chi-square analysis to test. They analyzed the cost and case proportion of different hospitals and adopted appropriate methods to make plans for the growth of infants, providing opportunities for the long-term neurological development of infants [5]. Lundgren et al., to determine the risk factors and incidence rate of infant hypoxic-ischemic encephalopathy, found that infant hypoxic-ischemic encephalopathy (HIE) was related to acute emergency and delivery mode through a large number of experimental data and investigations. Risk assessment can reduce the occurrence of risks and reduce medical errors [6]. Novak et al. found that hypoxic-ischemic encephalopathy was related to the time point. By determining the risk factors of unknown causes and comparing the incidence rate and related cases, data analysis was carried out on the incidence rate of newborns and placental tissues. In multivariate regression, the confidence interval and function were analyzed [7]. Ouwehand et al. predicted the neural outcome of infants with hypoxic-ischemic encephalopathy and the diagnostic accuracy of different models for the treatment of neural development results. By using the literature retrieval technology and through the analysis of experimental data, the influencing factors of neuro dysplasia and nerve death were predicted for neural development [8]. During the duration of hypoxia and asphyxia, the self-regulation ability of brain tissue would be affected, resulting in poor blood circulation of the brain. This would lead to brain tissue ischemia and hypoxic injury.

The above studies have only carried out a separate study on the brain injury-related indicators of neural networks and the diagnosis of neonatal hypoxic-ischemic encephalopathy, without combining the two. Although these studies have some references, they are more or less insufficient to demonstrate the conclusion and have some room for improvement. To solve the value of brain injury-related indicators of neural networks in the diagnosis of neonatal hypoxic-ischemic encephalopathy, this paper adopted the method of experimental analysis, compared the data of body temperature, body weight, and respiratory rate, and analyzed the trial group and the controlled group. The experimental setup in this paper was simple to operate.

2 Evaluation of neonatal HIE

2.1 Development status of neonatal HIE

Ultrasound is the most common clinical diagnostic method at present, but its sensitivity and resolution are very poor. It is difficult to find systemic lesions, and the surgical effect is also affected by the subjective factors of the operator. The low density of white matter in the brain cannot be used as a diagnostic standard in intracranial Computer Tomography (CT) examination. In the left hemisphere and other parts of the brain, intracerebral hemorrhage appears as small patches or dots of high signal. Because multisequence imaging is rich in image information, it can clarify the nature of the disease and help improve the accuracy of diagnosis. The diagnosis has high resolution and can display gray matter signals, and can more accurately display intracranial anatomical structure, which is helpful for clinical diagnosis and treatment, and provides a theoretical basis for the treatment of central neuralgia after spinal cord injury.

Although image scanning is a common examination method, which can display brain edema, cerebral hemorrhage, and other diseases, it has a certain reference value for the diagnosis of brain edema and cerebral hemorrhage. However, the brain tissue of newborns is not fully developed, which would have a great impact on the radiation of brain cells. By analyzing the relationship between brain concussion, brain tissue injury, and neurodegeneration, relevant scholars found that the risk of chronic traumatic encephalopathy increased. However, because the current research results have no relevant reference value, they proposed the consequences of repeated neurobehavior and the prediction of neurodegeneration pathology. When evaluating animals, balance function and cognitive behavior are measured. It lays a foundation for neurology and protein research, which proves that the axis mutation of cortical proteins and the presentation of neuritis are relatively low [9].

Hypoxic-ischemic encephalopathy causes damage to the nervous system of infants. The main causes of distress are the problems of the uterus and the abnormal function of the uterus. Relevant experts have sorted out independent data sets and mapped the location of nerve injury into a map to test the relationship between depression and lesion location. The validation evaluation data set is used to improve the efficiency of the test, and no brain region is affected. In the brain circuit, the prefrontal cortex is the center, which is excluded from the verification. Later, it was found that the depression circuit came from the brain injury and stimulation sites, which promoted the improvement of later depression [10]. Exploring the clinical influencing factors of hypoxic-ischemic encephalopathy provides a theoretical basis for clinical treatment, prevention, and nursing.

2.2 Factors affecting neonatal HIE

Because of the disorder of brain material metabolism and the damage of nerve cells, it has good diagnostic value for clinical treatment. In addition, the examination can also find small lesions, such as small lesions in the white matter area, simple white matter edema, and high sensitivity. In particular, the detection rate of brain diseases has been greatly improved, and diagnostic accuracy has been greatly improved. Relevant scholars selected several healthy infants as the research object. Because with the growth of fetal age, the gray matter, white matter, and brain tissue of newborns have a trend of increasing. There is no significant difference between mild and moderate values of neonatal hypoxic-ischemic encephalopathy. The application of this method in neonatal hypoxic-ischemic encephalopathy can early detect the condition of children.

The development of neonatal encephalopathy is not yet fully mature, and it is very sensitive to hypoxia and other factors. Neonatal hypoxia, asphyxia, and other factors are likely to lead to neonatal hypoxia, and neonatal intrauterine distress is the main cause of neonatal disease. Relevant experts conduct quantitative analysis of data through a proteomic method to identify potential markers of neonatal hypoxic-ischemic encephalopathy. Bioinformatic analysis was conducted in the control group and the trial group to evaluate the characteristics and ability to identify the expressed protein. By analyzing the significantly upregulated levels of differentially expressed proteins and binding proteins, the recognition process of proteins is further studied, and potential biomarkers are obtained, reflecting the severity of the disease and playing a key role in the development of newborns [11]. There are many reasons for neonatal diseases, so the screening of newborns is particularly important. With the progress of medical technology, compared with the past, the mortality of newborns has been significantly reduced, but the incidence rate of brain injury, cerebral palsy, epilepsy, and other complications caused by apnea has increased by 5 percentage points. People should study the factors affecting ischemia and hypoxia to prevent and treat the disease and improve the curative effect.

Relevant experts discuss the incidence rate and mortality of severe hypoxic-ischemic encephalopathy. It is found that the proportion of patients is decreasing; the number of infant cases is gradually decreasing; the mortality rate is also decreasing, with no change in the severity. Since the obstetric characteristics remain unchanged and the resuscitation time is less, it is concluded that there is no correlation between the time and the change in obstetric characteristics [12,13]. In the application of neonatal ischemic hypoxic encephalopathy, clinical analysis of neonatal ischemic hypoxic encephalopathy is carried out. After the examination operation, the subjects observed the test results between the groups and compared the indexes of the examination between the groups. Through comparison, it is found that the indexes of the middle cerebral artery in the two groups are significantly higher. The examination is of great significance for the diagnosis of neonatal ischemic hypoxic encephalopathy and the clinical diagnosis and treatment of children.

Relevant personnel analyze the relationship between vitamin D concentration and neonatal hypoxic-ischemic encephalopathy and evaluate the effect of vitamin D on surrounding tissues. The correlation coefficient is used to evaluate the correlation between clinical results, and standardized scoring is performed. After injecting high-dose vitamin D dose into infants, the wearing of respirators were analyzed. Data supports the relationship between low vitamin levels and adverse outcomes, and it is concluded that there is no relationship between vitamin D dose and neonatal hypoxic-ischemic brain injury [14]. The abnormality of the umbilical cord can cause fetal blood circulation disorder or interruption, resulting in fetal hypoxia or death. The development of various organs of the fetus is not perfect, and the mother’s temperature rises, which increases its basal metabolic rate, increases oxygen consumption, and significantly reduces the concentration of blood oxygen supplied to the fetus, resulting in fetal distress in the uterus [15]. In the early stage of the newborn, the heartbeat increases to ensure the normal blood supply of all organs and tissues, which leads to an increase in blood pressure. In the late stage of the disease, the level of middle cerebral artery disease increases significantly and the health factors decrease significantly. The influencing factors of neonatal hypoxic-ischemic encephalopathy are shown in Figure 1.

Figure 1 
                  Influential factors of neonatal hypoxic-ischemic encephalopathy.
Figure 1

Influential factors of neonatal hypoxic-ischemic encephalopathy.

2.3 Value of brain injury-related indicators of neural network in diagnosis

Due to fetal distress caused by abnormal fetal heart rate monitoring, neonatal asphyxia can be caused, which is the direct cause of brain disease. Therefore, people should strengthen the prenatal examination and solve the fetal distress as soon as possible. The reason is that pregnant women could lead to fetal intrauterine hypoxia and insufficient cerebral blood supply. During pregnancy, pregnant women should regularly monitor their blood pressure to prevent pregnancy hypertension and eclampsia. Both conditions, such as placental abruption and placental aging, can cause insufficient oxygen supply to the fetus from the mother, resulting in ischemia and hypoxia. Thus, oxygen is transported from the pore space to the umbilical vein, resulting in fetal intrauterine hypoxia.

Relevant personnel analyze the behavior of human brain injury and induced brain injury. With the development of neural networks, the diseases of brain injury are reviewed; the advantages and limitations of injury are discussed; the clinical ecological relevance of the study is improved. Nerve injury is essential for the evaluation of neuroscience theory [16]. If the temperature of pregnant women continues to rise, the fetal heart rate would accelerate, which would lead to neonatal asphyxia. Therefore, patients with infectious fever in late pregnancy should end the pregnancy as soon as possible. Premature rupture of membranes (PROM) is a high-risk factor for infection in early pregnancy, but statistically, it has no significant impact. The main reason is that the time of PROM is short, and there is no serious infection. It would not lead to hypoxia. The severity of amniotic fluid pollution is related to the severity of hypoxia and ischemia.

Diabetes is the cause of blood vessel rupture and blood flow reduction, which is easy to cause fetal ischemia and hypoxia and affects the material exchange between mother and fetus. Due to the limited number of studies, the research results of blood vessels need to be further explored. The prenatal examination of pregnant women according to the time and statistical analysis of the age of the mother needs to be further tested. The factors affecting the incidence of ischemia and hypoxia are not significant due to the lack of choice between the trial group and the control group. Thus, oxygen is transported from the pore space to the umbilical vein, resulting in fetal intrauterine hypoxia.

Experts have studied the surgical drug resistance of epileptic patients and the damage model of hippocampal sclerosis. Due to the loss of neuron cells and the proliferation of glial cells, the brain would be temporarily damaged after the lack of seizure activity, and the excessive excitable neural structure and transmission mechanism would lead to the occurrence of epilepsy. Different from the traditional experimental study of epilepsy, to further understand the pathogenesis, including different types of injury, human hippocampal biopsy is used to conduct a detailed analysis of animal models, transform new methods, and open up prospects for global patients [17]. Through regression analysis, it is found that the factors affecting neonatal ischemia and hypoxia are very different, and a comprehensive analysis is needed to determine some factors affecting neonatal disease. The value analysis of brain injury-related indicators of neural networks in the diagnosis is shown in Figure 2.

Figure 2 
                  Analysis of the value of brain injury-related indicators of neural networks in the diagnosis.
Figure 2

Analysis of the value of brain injury-related indicators of neural networks in the diagnosis.

The high-risk factors during pregnancy are mainly maternal diseases, such as placenta, placental abruption, PROM, and umbilical cord encirclement. These diseases are prone to complications during pregnancy. At the same time, medical workers should understand its pathogenesis and risk factors, strengthen professional theory and basic operating skills, do a good job in perinatal education, strictly monitor the production process, and correctly handle various complications. Relevant personnel proposes a fully automatic organization segmentation method to establish a variable model and improve segmentation efficiency. A segmentation pipeline is established, which uses high-resolution tissue classification technology to optimize the 3D modeling output and maintain the musculoskeletal surface. The fully automatic segmentation method provides good segmentation technology. The segmentation accuracy needs to be improved with the most advanced methods to display the functional segmentation performance in different tissue morphology and quantitative images [18]. Brain edema, softening, necrosis, atrophy, and intracranial hemorrhage are the manifestations of brain tissue metabolic disorders, cell damage, and brain blood insufficiency caused by perinatal hypoxia.

Symptoms of hypoxia and ischemia are prone to produce different results. Prevention of mild patients can effectively avoid severe cases. Severe patients may cause irreversible damage to brain tissue, which may lead to the death of children. Serious cases may even lead to the early death of newborns. The content of glycogen in the newborn’s brain is low, and nutrition is mainly absorbed through blood circulation and umbilical cord transmission. Insufficient nutrition can easily affect the development of the newborn’s nervous system and limbs. After the newborn is born, it is necessary to carry out a physical examination on the newborn, which is prone to perinatal ventricular rest symptoms. In the early stage of the disease, the increase of blood pressure would lead to the damage of the self-regulation mechanism of the brain blood, resulting in the low blood circulation speed of the brain, and hypoxia and ischemia symptoms. Neonatal intracerebral hemorrhage occurs more frequently in the left and right hemispheres, and the stimulation of the cerebral cortex has problems, resulting in necrosis and ulceration of brain tissue, and echo phenomenon in brain tissue.

Since children are prone to blood vessel rupture and brain edema after being hit, the complex phenomenon of meridians may be related to the mechanism obstacle of hypoxia and ischemia. Children’s brain symptoms are mainly manifested by brain fog, local flakes and dots, and narrowing and blurring of brain gullies. In the late stage of the disease, the brain is prone to brain atrophy and brain structural changes, which can easily lead to sequelae. The reason for these symptoms is that the central nervous system is not fully developed in anatomical biology, resulting in diffuse brain phenomenon. Therefore, in the study of hemodynamics, it is necessary to consider the blood blockage of cerebral arteries and veins, which would lead to a decrease in the number of glial cells and the gray myelination of nerve cells, resulting in cerebral hemorrhage and cerebral infarction. Cerebral ischemia and hypoxia are the causes of serious diseases, so in daily life, people should pay attention to normal living habits and work and rest to ensure the normal operation of the brain.

3 Experimental evaluation of brain injury-related indicators

3.1 Experimental method

About 200 newborns were divided into two groups. Among them, 100 were newborns with hypoxic-ischemic encephalopathy; the other 100 were normal newborns; the sick newborns were the trial group; the healthy children were the controlled group. The weight, temperature, and pulses of 200 newborns were recorded, and the experimental results were compared and analyzed.

  1. Informed consent: Informed consent has been obtained from all individuals and included in this study.

  2. Ethical approval: The research related to human use has been complied with all the relevant national regulations and institutional policies and in accordance with the tenets of the Helsinki Declaration and has been approved by the authors’ institutional review board or equivalent committee.

3.2 Observation indicators

Five pairs of trial groups and the controlled group were set up to analyze the weight, body temperature, and pulse of newborns with Apgar score, observe and record the data of the trial group and controlled group, and compare them.

Trial group: Apgar score was used to analyze the observation indexes of neonates with hypoxic-ischemic encephalopathy. After instrument observation and recording, the experimental data were analyzed and compared.

Controlled group: Apgar score was used to analyze the observation indexes of normal newborns, and the data range was recorded and observed.

3.3 Statistical processing

All statistical data of the trial group and the controlled group were input into the Statistical Product and Service Solutions statistical software, which expressed the measured value with mean ± standard deviation (±S). Assuming that the test level is a = 0.05, P < 0.05 indicates a statistical difference.

4 Evaluation of experimental results of related indicators of hypoxic-ischemic brain injury

4.1 Control evaluation of newborn weight

Five pairs of experimental data were selected to compare the trial group and the controlled group, and the experimental results were analyzed. The control analysis of newborn weight is shown in Table 1.

Table 1

Comparative analysis of newborn weight

Category Group Data
1 2 3 4 5
Weight Control group (kg) 3.2 ± 0.2 3.5 ± 0.1 3.7 ± 0.2 4 ± 0.3 2.8 ± 0.1
Trial group (kg) 2.2 ± 0.2 2.3 ± 0.3 2.1 ± 0.2 4.4 ± 0.2 4.2 ± 0.2
Control group Apgar score 8 7 9 8 7
Trial group Apgar score 5 6 4 5 4

The newborn weight range of the controlled group was 2.7–4.3 kg; the Apgar score was 7 or above; the newborn weight range of the trial group was 1.9–4.6 kg; the Apgar score was less than 7; the range of the trial group and the controlled group after using Apgar score was 4–9. Because the Apgar score was lower than 7 points, it proved that the newborn in the trial group was in distress. The weight of newborns in the trial group was in a dangerous range compared with those in the control group, so it can be concluded that the Apgar scoring method was more simple and convenient.

4.2 Comparison of neonatal respiratory rate

In the experiment, the Apgar score was used to record the respiratory rate per minute of newborns in the controlled group and the trial group, and the differences between the controlled group and the trial group were compared. The comparison of neonatal respiratory rate is shown in Table 2.

Table 2

Comparison of neonatal respiratory rate

Category Group Data
1 2 3 4 5
Respiratory rate Control group 42 ± 3 44 ± 4 40 ± 5 45 ± 2 43 ± 3
Trial group 50 ± 4 53 ± 2 55 ± 3 35 ± 5 37 ± 4
Controlled group Apgar score 8 9 8 7 9
Trial group Apgar score 5 6 5 6 6

By observing the experimental data, it can be found that the Apgar score was used to measure the respiratory rate of the trial group and the control group. Comparing the experimental results, in the controlled group, the respiratory rate of the newborn was in the range of 39–48 per min, and in the trial group, the respiratory rate of the newborn was in the range of 30–58. After analyzing the data, it was found that in the comparative analysis of neonatal respiratory rate records using the Apgar score, the respiratory rate of newborns with ischemia and hypoxia in the trial group was not within the normal range, and drug treatment was needed.

4.3 Evaluation of neonatal temperature

This paper observed the data of five pairs of trial groups and a controlled group and compared the temperature analysis before and after the experiment. The analysis and comparison of neonatal body temperature are shown in Table 3.

Table 3

Analysis and comparison of neonatal body temperature

Category Group Data
1 2 3 4 5
Thermoanalysis Control group (°C) 36.7 ± 0.2 36.5 ± 0.3 36.4 ± 0.2 36.9 ± 0.4 36.7 ± 0.2
Experimental group (°C) 37.2 ± 0.2 37.8 ± 0.2 38.4 ± 0.2 37.4 ± 0.2 38.5 ± 0.2
Controlgroup Apgar score 8 9 8 7 8
Experimental group Apgar score 4 6 5 6 3

Through observation, it was found that the temperature of newborns in the trial group was high and low, which was basically in the range of 37–38.7°C, while the temperature of newborns in the controlled group was in the normal range, which was basically in the range of 36.2–37.3°C. The Apgar score of newborns in the controlled group was 7–9 points, and the Apgar score of newborns in the trial group was 3–6 points. Because the Apgar score indicates that the risk of neonatal asphyxia is more serious, it is necessary to carry out real-time detection of newborns during production to avoid overheating or hypothermia.

4.4 Cord blood gas evaluation

Five groups of data were selected to evaluate the effect of umbilical cord blood gas analysis on newborns in the trial group and the control group, and the data were collected and compared. The specific data are shown in Figure 3.

Figure 3 
                  Analysis and comparison of cord blood gas: (a) controlled group and (b) trial group.
Figure 3

Analysis and comparison of cord blood gas: (a) controlled group and (b) trial group.

As can be seen from Figure 3, Figure 3a is the umbilical blood gas analysis score of the controlled group, and Figure 3b is the umbilical blood gas analysis score of the trial group. According to the general trend and average data characteristics of the above two figures, it can be seen that the umbilical blood gas analysis score of the trial group was lower. Specifically, most of the data in Figure 3a were distributed between 7.8 and 8.4, with the highest value of 8.4, the lowest value of 7.8, and the average value of 8.1. The data in Figure 3b were between 5.8 and 7.1, with the highest value of 7.1, the lowest value of 5.8, and the average value of 6.46. The umbilical blood gas analysis score of the trial group was lower than that of the control group.

4.5 Cord blood gas evaluation and Apgar score satisfaction evaluation

By analyzing five groups of survey data, the satisfaction effects of cord blood gas analysis and Apgar score were compared. The cord blood gas analysis and Apgar score satisfaction analysis are shown in Figure 4.

Figure 4 
                  Cord blood gas analysis and Apgar score satisfaction analysis: (a) controlled group and (b) trial group.
Figure 4

Cord blood gas analysis and Apgar score satisfaction analysis: (a) controlled group and (b) trial group.

From Figure 4, it can be seen that Figure 4a shows Apgar score satisfaction and Figure 4b shows cord blood gas analysis satisfaction. According to the general trend and average data characteristics of the above two figures, it can be seen that the analysis score of cord blood gas was higher. Specifically, most of the data in Figure 4a were distributed between 62 and 73, with the highest value of 73, the lowest value of 62, and the average value of 69. The data in Figure 4b was between 81 and 92, with the highest value of 92, the lowest value of 81, and the average value of 85.6. The satisfaction of cord blood gas analysis was 24.06% higher than that of the Apgar score.

To sum up, after comparing the effect satisfaction of cord blood gas analysis and Apgar score, it was found that cord blood gas analysis was more satisfactory and more convenient and accurate in solving neonatal hypoxic-ischemic encephalopathy. Because the umbilical blood gas analysis is the main evidence for analyzing the production and metabolism of newborns, and the main basis for evaluating the various indicators of the newborn body, the blood analysis, and acid-base condition of newborns can be used to analyze the severity of neonatal hypoxia, poisoning and asphyxia, and more intuitively explain the essential reasons. Compared with the Apgar score, cord blood gas analysis is more objective and accurate. After the birth of the fetus, the umbilical blood gas of the newborn is analyzed to understand the changes in various parameters. It is more helpful to find the asphyxia of newborns and reduce the death rate. By analyzing the postpartum situation of newborns, it is helpful to identify the occurrence of adverse symptoms and emergencies and avoid medical disputes. Umbilical blood gas analysis is listed as one of the essential indicators for the diagnosis of perinatal asphyxia, and it is of great significance to guide the treatment of newborns and judge the prognosis by organically combining with Apgar score and other indicators.

5 Discussions

Due to the implementation of the neonatal guardianship system, the incidence rate and critical rate of full-term infants have significantly decreased. After standardized treatment, a brain ultrasound examination was carried out. It was found that the echo of brain parenchyma recovered quickly, the volume of the brain decreased, and hydrocephalus and complications of the liquefied cystic cavity were less. Cerebral palsy, cognitive impairment, and abnormal hearing function are the main causes of white matter damage in premature infants. In a word, the reaction of the nervous system in children with brain damage is different due to the severity of brain parenchyma damage. Most mild children have no obvious sequelae, and moderate children can also be cured. A few children have hydrocephalus, encephalomalacia, encephalomalacia, cerebral atrophy, cerebral perforation, etc. Children have symptoms of mental retardation, epilepsy, cerebral palsy, etc. This method is simple, repeatable, and multiple bedside examinations. It is the best method for neonatal craniocerebral ultrasound examination and has a certain promotion value.

The condition of patients with craniocerebral injury changes rapidly, and some patients may even have more serious symptoms. It is necessary to monitor the changes in vital signs such as respiration, pulse, blood pressure, and body temperature of the patient at any time, and conduct CT and MRI examinations regularly. However, next to the hospital bed, there would also be a monitoring device to monitor the vital signs of patients. The most common is the intracranial pressure monitor, which places the probe on the surface of the brain or in the ventricle to monitor the intracranial pressure. If the intracranial pressure of the patient continues to rise, the prognosis of the patient would be poor, and active treatment must be carried out. People can also do cerebral blood flow monitoring. If the cerebral blood flow drops, it means that the patient has poor cerebral blood supply and cerebral ischemia. Brain metabolism monitoring can also be carried out, mainly including lactic acid, glucose, electrolytes, uric acid, and other indicators, and these indicators can reflect the metabolism of the brain. It can also monitor the cerebral oxygen partial pressure, observe whether there is anoxia in the brain, and monitor the cerebral artery oxygen partial pressure, thus indirectly reflecting the cerebral oxygen partial pressure.

It plays an important role in the process of apoptosis and plays a crucial role in the signal transduction pathway of apoptosis. It is the initial stage of apoptosis and one of the most important proteins that regulate and implement apoptosis. Due to ischemia and hypoxia, the human body needs a large amount of hemoglobin, so the demand for red blood cells would increase, which would promote the production and release of the hematopoietic system, leading to an increase in the content of peripheral blood. The method is simple and fast.

6 Conclusions

This paper studied the value of brain injury-related indicators of neural networks in the diagnosis of neonatal hypoxic-ischemic encephalopathy. By analyzing the development status of neonatal hypoxic-ischemic encephalopathy and the factors affecting neonatal hypoxic-ischemic encephalopathy, it showed the prospect of the diagnosis of neonatal hypoxic-ischemic encephalopathy. Through the analysis of the experimental data, it was found that the newborn weight in the controlled group ranged from 2.7 to 4.3 kg; the Apgar score was 7 or above; the newborn weight in the trial group ranged from 1.9 to 4.6 kg; Apgar score was below 7; the weight in the trial group was in the dangerous range. The Apgar scoring method was more simple and more convenient. Through the analysis of respiratory rate, it was found that the respiratory rate of the controlled group was in the range of 39–48. In the trial group, the respiratory rate of the newborn was in the range of 30–58. It was necessary to carry out respiratory detection for the hypoxic-ischemic newborn. In terms of body temperature, it was necessary to avoid the occurrence of asphyxia. To avoid the phenomenon of high or low temperature, through the comparison of umbilical blood gas analysis scores, it was found that the umbilical blood gas analysis score of the trial group was lower, which was lower than 7.1. By comparing the Apgar score and the satisfaction of cord blood gas analysis, it was found that the satisfaction of cord blood gas analysis was 24.06% higher than that of the Apgar score. This paper studied the value of brain injury-related indicators of neural networks in the diagnosis of neonatal hypoxia and ischemia. Through the experimental data, the value of various brain injury indicators in neonatal hypoxic-ischemic encephalopathy was analyzed. The content of this paper has reference significance for the prediction and prevention of neonatal diseases.

  1. Funding information: Author states no funding involved.

  2. Conflict of interest: Author states no conflict of interest.

  3. Data availability statement: The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

References

[1] Mollayeva T, Mollayeva S, Colantonio A. Traumatic brain injury: sex, gender and intersecting vulnerabilities. Nat Rev Neurol. 2018;14(12):711–22.10.1038/s41582-018-0091-ySearch in Google Scholar PubMed

[2] Edlow BL, Claassen J, Schiff ND, Greer DM. Recovery from disorders of consciousness: mechanisms, prognosis, and emerging therapies. Nat Rev Neurol. 2021;17(3):135–56.10.1038/s41582-020-00428-xSearch in Google Scholar PubMed PubMed Central

[3] Hutchinson EB, Schwerin SC, Avram AV, Juliano SL, Pierpaoli C. Diffusion MRI and the detection of alterations following traumatic brain injury. J Neurosci Res. 2018;96(4):612–25.10.1002/jnr.24065Search in Google Scholar PubMed PubMed Central

[4] Cronberg T, Greer DM, Lilja G, Moulaert V, Swindell P, Rossetti AO, et al. Brain injury after cardiac arrest: from prognostication of comatose patients to rehabilitation. Lancet Neurol. 2020;19(7):611–22.10.1016/S1474-4422(20)30117-4Search in Google Scholar PubMed

[5] Wang Z, Zhang P, Zhou W, Xia S, Zhou W, Zhou X, et al. Neonatal hypoxic-ischemic encephalopathy diagnosis and treatment: A national survey in China. BMC Pediatr. 2021;21(1):1–9.10.1186/s12887-021-02737-6Search in Google Scholar PubMed PubMed Central

[6] Lundgren C, Brudin L, Wanby AS, Blomberg M. Ante-and intrapartum risk factors for neonatal hypoxic-ischemic encephalopathy. J Maternal-Fetal Neonatal Med. 2018;31(12):1595–601.10.1080/14767058.2017.1321628Search in Google Scholar PubMed

[7] Novak CM, Eke AC, Ozen M, Burd I, Graham EM. Risk factors for neonatal hypoxic-ischemic encephalopathy in the absence of sentinel events. Am J Perinatol. 2019;36(01):027–33.10.1055/s-0038-1639356Search in Google Scholar PubMed

[8] Ouwehand S, Smidt LC, Dudink J, Benders MJ, de Vries LS, Groenendaal F, et al. Predictors of outcomes in hypoxic-ischemic encephalopathy following hypothermia: a meta-analysis. Neonatology. 2020;117(4):411–27.10.1159/000505519Search in Google Scholar PubMed

[9] Mouzon BC, Bachmeier C, Ojo JO, Acker CM, Ferguson S, Paris D, et al. Lifelong behavioral and neuropathological consequences of repetitive mild traumatic brain injury. Ann Clin Transl Neurol. 2018;5(1):64–80.10.1002/acn3.510Search in Google Scholar PubMed PubMed Central

[10] Padmanabhan JL, Cooke D, Joutsa J, Siddiqi SH, Ferguson M, Darby RR, et al. A human depression circuit derived from focal brain lesions. Biol Psychiatry. 2019;86(10):749–58.10.1016/j.biopsych.2019.07.023Search in Google Scholar PubMed PubMed Central

[11] Zhu Y, Yun Y, Jin M, Li G, Li H, Miao P, et al. Identification of novel biomarkers for neonatal hypoxic-ischemic encephalopathy using iTRAQ. Ital J Pediatr. 2020;46(1):1–9.10.1186/s13052-020-00822-7Search in Google Scholar PubMed PubMed Central

[12] Vega-Del-Val C, Arnaez J, Caserío S, Gutiérrez EP, Benito M, Castañón L, et al. Temporal trends in the severity and mortality of neonatal hypoxic-ischemic encephalopathy in the era of hypothermia. Neonatology. 2021;118(6):685–92.10.1159/000518654Search in Google Scholar PubMed

[13] Roy V, Shukla PK, Gupta AK, Goel V, Shukla PK, Shukla S. Taxonomy on EEG artifacts removal methods, issues, and healthcare applications. J Organ End User Comput (JOEUC). 2021;33(1):19–46.10.4018/JOEUC.2021010102Search in Google Scholar

[14] McGinn EA, Powers A, Galas M, Lyden E, Peeples ES. Neonatal vitamin D status is associated with the severity of brain injury in neonatal hypoxic–ischemic encephalopathy: A pilot study. Neuropediatrics. 2020;51(04):251–8.10.1055/s-0040-1708535Search in Google Scholar PubMed

[15] Hu M, Zhong Y, Xie S, Lv H, Lv Z. Fuzzy system-based medical image processing for brain disease prediction. Front Neurosci. 2021;15:714318.10.3389/fnins.2021.714318Search in Google Scholar PubMed PubMed Central

[16] Vaidya AR, Pujara MS, Petrides M, Murray EA, Fellows LK. Lesion studies in contemporary neuroscience. Trends Cogn Sci. 2019;23(8):653–71.10.1016/j.tics.2019.05.009Search in Google Scholar PubMed PubMed Central

[17] Becker AJ. Animal models of acquired epilepsy: Insights into mechanisms of human epileptogenesis. Neuropathol Appl Neurobiol. 2018;44(1):112–29.10.1111/nan.12451Search in Google Scholar PubMed

[18] Liu F, Zhou Z, Jang H, Samsonov A, Zhao G, Kijowski R. Deep convolutional neural network and 3D deformable approach for tissue segmentation in musculoskeletal magnetic resonance imaging. Magn Reson Med. 2018;79(4):2379–91.10.1002/mrm.26841Search in Google Scholar PubMed PubMed Central

Received: 2023-05-15
Revised: 2023-07-18
Accepted: 2023-07-25
Published Online: 2023-08-30

© 2023 the author(s), published by De Gruyter

This work is licensed under the Creative Commons Attribution 4.0 International License.

Articles in the same Issue

  1. Biomedical Sciences
  2. Systemic investigation of inetetamab in combination with small molecules to treat HER2-overexpressing breast and gastric cancers
  3. Immunosuppressive treatment for idiopathic membranous nephropathy: An updated network meta-analysis
  4. Identifying two pathogenic variants in a patient with pigmented paravenous retinochoroidal atrophy
  5. Effects of phytoestrogens combined with cold stress on sperm parameters and testicular proteomics in rats
  6. A case of pulmonary embolism with bad warfarin anticoagulant effects caused by E. coli infection
  7. Neutrophilia with subclinical Cushing’s disease: A case report and literature review
  8. Isoimperatorin alleviates lipopolysaccharide-induced periodontitis by downregulating ERK1/2 and NF-κB pathways
  9. Immunoregulation of synovial macrophages for the treatment of osteoarthritis
  10. Novel CPLANE1 c.8948dupT (p.P2984Tfs*7) variant in a child patient with Joubert syndrome
  11. Antiphospholipid antibodies and the risk of thrombosis in myeloproliferative neoplasms
  12. Immunological responses of septic rats to combination therapy with thymosin α1 and vitamin C
  13. High glucose and high lipid induced mitochondrial dysfunction in JEG-3 cells through oxidative stress
  14. Pharmacological inhibition of the ubiquitin-specific protease 8 effectively suppresses glioblastoma cell growth
  15. Levocarnitine regulates the growth of angiotensin II-induced myocardial fibrosis cells via TIMP-1
  16. Age-related changes in peripheral T-cell subpopulations in elderly individuals: An observational study
  17. Single-cell transcription analysis reveals the tumor origin and heterogeneity of human bilateral renal clear cell carcinoma
  18. Identification of iron metabolism-related genes as diagnostic signatures in sepsis by blood transcriptomic analysis
  19. Long noncoding RNA ACART knockdown decreases 3T3-L1 preadipocyte proliferation and differentiation
  20. Surgery, adjuvant immunotherapy plus chemotherapy and radiotherapy for primary malignant melanoma of the parotid gland (PGMM): A case report
  21. Dosimetry comparison with helical tomotherapy, volumetric modulated arc therapy, and intensity-modulated radiotherapy for grade II gliomas: A single‑institution case series
  22. Soy isoflavone reduces LPS-induced acute lung injury via increasing aquaporin 1 and aquaporin 5 in rats
  23. Refractory hypokalemia with sexual dysplasia and infertility caused by 17α-hydroxylase deficiency and triple X syndrome: A case report
  24. Meta-analysis of cancer risk among end stage renal disease undergoing maintenance dialysis
  25. 6-Phosphogluconate dehydrogenase inhibition arrests growth and induces apoptosis in gastric cancer via AMPK activation and oxidative stress
  26. Experimental study on the optimization of ANM33 release in foam cells
  27. Primary retroperitoneal angiosarcoma: A case report
  28. Metabolomic analysis-identified 2-hydroxybutyric acid might be a key metabolite of severe preeclampsia
  29. Malignant pleural effusion diagnosis and therapy
  30. Effect of spaceflight on the phenotype and proteome of Escherichia coli
  31. Comparison of immunotherapy combined with stereotactic radiotherapy and targeted therapy for patients with brain metastases: A systemic review and meta-analysis
  32. Activation of hypermethylated P2RY1 mitigates gastric cancer by promoting apoptosis and inhibiting proliferation
  33. Association between the VEGFR-2 -604T/C polymorphism (rs2071559) and type 2 diabetic retinopathy
  34. The role of IL-31 and IL-34 in the diagnosis and treatment of chronic periodontitis
  35. Triple-negative mouse breast cancer initiating cells show high expression of beta1 integrin and increased malignant features
  36. mNGS facilitates the accurate diagnosis and antibiotic treatment of suspicious critical CNS infection in real practice: A retrospective study
  37. The apatinib and pemetrexed combination has antitumor and antiangiogenic effects against NSCLC
  38. Radiotherapy for primary thyroid adenoid cystic carcinoma
  39. Design and functional preliminary investigation of recombinant antigen EgG1Y162–EgG1Y162 against Echinococcus granulosus
  40. Effects of losartan in patients with NAFLD: A meta-analysis of randomized controlled trial
  41. Bibliometric analysis of METTL3: Current perspectives, highlights, and trending topics
  42. Performance comparison of three scaling algorithms in NMR-based metabolomics analysis
  43. PI3K/AKT/mTOR pathway and its related molecules participate in PROK1 silence-induced anti-tumor effects on pancreatic cancer
  44. The altered expression of cytoskeletal and synaptic remodeling proteins during epilepsy
  45. Effects of pegylated recombinant human granulocyte colony-stimulating factor on lymphocytes and white blood cells of patients with malignant tumor
  46. Prostatitis as initial manifestation of Chlamydia psittaci pneumonia diagnosed by metagenome next-generation sequencing: A case report
  47. NUDT21 relieves sevoflurane-induced neurological damage in rats by down-regulating LIMK2
  48. Association of interleukin-10 rs1800896, rs1800872, and interleukin-6 rs1800795 polymorphisms with squamous cell carcinoma risk: A meta-analysis
  49. Exosomal HBV-DNA for diagnosis and treatment monitoring of chronic hepatitis B
  50. Shear stress leads to the dysfunction of endothelial cells through the Cav-1-mediated KLF2/eNOS/ERK signaling pathway under physiological conditions
  51. Interaction between the PI3K/AKT pathway and mitochondrial autophagy in macrophages and the leukocyte count in rats with LPS-induced pulmonary infection
  52. Meta-analysis of the rs231775 locus polymorphism in the CTLA-4 gene and the susceptibility to Graves’ disease in children
  53. Cloning, subcellular localization and expression of phosphate transporter gene HvPT6 of hulless barley
  54. Coptisine mitigates diabetic nephropathy via repressing the NRLP3 inflammasome
  55. Significant elevated CXCL14 and decreased IL-39 levels in patients with tuberculosis
  56. Whole-exome sequencing applications in prenatal diagnosis of fetal bowel dilatation
  57. Gemella morbillorum infective endocarditis: A case report and literature review
  58. An unusual ectopic thymoma clonal evolution analysis: A case report
  59. Severe cumulative skin toxicity during toripalimab combined with vemurafenib following toripalimab alone
  60. Detection of V. vulnificus septic shock with ARDS using mNGS
  61. Novel rare genetic variants of familial and sporadic pulmonary atresia identified by whole-exome sequencing
  62. The influence and mechanistic action of sperm DNA fragmentation index on the outcomes of assisted reproduction technology
  63. Novel compound heterozygous mutations in TELO2 in an infant with You-Hoover-Fong syndrome: A case report and literature review
  64. ctDNA as a prognostic biomarker in resectable CLM: Systematic review and meta-analysis
  65. Diagnosis of primary amoebic meningoencephalitis by metagenomic next-generation sequencing: A case report
  66. Phylogenetic analysis of promoter regions of human Dolichol kinase (DOLK) and orthologous genes using bioinformatics tools
  67. Collagen changes in rabbit conjunctiva after conjunctival crosslinking
  68. Effects of NM23 transfection of human gastric carcinoma cells in mice
  69. Oral nifedipine and phytosterol, intravenous nicardipine, and oral nifedipine only: Three-arm, retrospective, cohort study for management of severe preeclampsia
  70. Case report of hepatic retiform hemangioendothelioma: A rare tumor treated with ultrasound-guided microwave ablation
  71. Curcumin induces apoptosis in human hepatocellular carcinoma cells by decreasing the expression of STAT3/VEGF/HIF-1α signaling
  72. Rare presentation of double-clonal Waldenström macroglobulinemia with pulmonary embolism: A case report
  73. Giant duplication of the transverse colon in an adult: A case report and literature review
  74. Ectopic thyroid tissue in the breast: A case report
  75. SDR16C5 promotes proliferation and migration and inhibits apoptosis in pancreatic cancer
  76. Vaginal metastasis from breast cancer: A case report
  77. Screening of the best time window for MSC transplantation to treat acute myocardial infarction with SDF-1α antibody-loaded targeted ultrasonic microbubbles: An in vivo study in miniswine
  78. Inhibition of TAZ impairs the migration ability of melanoma cells
  79. Molecular complexity analysis of the diagnosis of Gitelman syndrome in China
  80. Effects of maternal calcium and protein intake on the development and bone metabolism of offspring mice
  81. Identification of winter wheat pests and diseases based on improved convolutional neural network
  82. Ultra-multiplex PCR technique to guide treatment of Aspergillus-infected aortic valve prostheses
  83. Virtual high-throughput screening: Potential inhibitors targeting aminopeptidase N (CD13) and PIKfyve for SARS-CoV-2
  84. Immune checkpoint inhibitors in cancer patients with COVID-19
  85. Utility of methylene blue mixed with autologous blood in preoperative localization of pulmonary nodules and masses
  86. Integrated analysis of the microbiome and transcriptome in stomach adenocarcinoma
  87. Berberine suppressed sarcopenia insulin resistance through SIRT1-mediated mitophagy
  88. DUSP2 inhibits the progression of lupus nephritis in mice by regulating the STAT3 pathway
  89. Lung abscess by Fusobacterium nucleatum and Streptococcus spp. co-infection by mNGS: A case series
  90. Genetic alterations of KRAS and TP53 in intrahepatic cholangiocarcinoma associated with poor prognosis
  91. Granulomatous polyangiitis involving the fourth ventricle: Report of a rare case and a literature review
  92. Studying infant mortality: A demographic analysis based on data mining models
  93. Metaplastic breast carcinoma with osseous differentiation: A report of a rare case and literature review
  94. Protein Z modulates the metastasis of lung adenocarcinoma cells
  95. Inhibition of pyroptosis and apoptosis by capsaicin protects against LPS-induced acute kidney injury through TRPV1/UCP2 axis in vitro
  96. TAK-242, a toll-like receptor 4 antagonist, against brain injury by alleviates autophagy and inflammation in rats
  97. Primary mediastinum Ewing’s sarcoma with pleural effusion: A case report and literature review
  98. Association of ADRB2 gene polymorphisms and intestinal microbiota in Chinese Han adolescents
  99. Tanshinone IIA alleviates chondrocyte apoptosis and extracellular matrix degeneration by inhibiting ferroptosis
  100. Study on the cytokines related to SARS-Cov-2 in testicular cells and the interaction network between cells based on scRNA-seq data
  101. Effect of periostin on bone metabolic and autophagy factors during tooth eruption in mice
  102. HP1 induces ferroptosis of renal tubular epithelial cells through NRF2 pathway in diabetic nephropathy
  103. Intravaginal estrogen management in postmenopausal patients with vaginal squamous intraepithelial lesions along with CO2 laser ablation: A retrospective study
  104. Hepatocellular carcinoma cell differentiation trajectory predicts immunotherapy, potential therapeutic drugs, and prognosis of patients
  105. Effects of physical exercise on biomarkers of oxidative stress in healthy subjects: A meta-analysis of randomized controlled trials
  106. Identification of lysosome-related genes in connection with prognosis and immune cell infiltration for drug candidates in head and neck cancer
  107. Development of an instrument-free and low-cost ELISA dot-blot test to detect antibodies against SARS-CoV-2
  108. Research progress on gas signal molecular therapy for Parkinson’s disease
  109. Adiponectin inhibits TGF-β1-induced skin fibroblast proliferation and phenotype transformation via the p38 MAPK signaling pathway
  110. The G protein-coupled receptor-related gene signatures for predicting prognosis and immunotherapy response in bladder urothelial carcinoma
  111. α-Fetoprotein contributes to the malignant biological properties of AFP-producing gastric cancer
  112. CXCL12/CXCR4/CXCR7 axis in placenta tissues of patients with placenta previa
  113. Association between thyroid stimulating hormone levels and papillary thyroid cancer risk: A meta-analysis
  114. Significance of sTREM-1 and sST2 combined diagnosis for sepsis detection and prognosis prediction
  115. Diagnostic value of serum neuroactive substances in the acute exacerbation of chronic obstructive pulmonary disease complicated with depression
  116. Research progress of AMP-activated protein kinase and cardiac aging
  117. TRIM29 knockdown prevented the colon cancer progression through decreasing the ubiquitination levels of KRT5
  118. Cross-talk between gut microbiota and liver steatosis: Complications and therapeutic target
  119. Metastasis from small cell lung cancer to ovary: A case report
  120. The early diagnosis and pathogenic mechanisms of sepsis-related acute kidney injury
  121. The effect of NK cell therapy on sepsis secondary to lung cancer: A case report
  122. Erianin alleviates collagen-induced arthritis in mice by inhibiting Th17 cell differentiation
  123. Loss of ACOX1 in clear cell renal cell carcinoma and its correlation with clinical features
  124. Signalling pathways in the osteogenic differentiation of periodontal ligament stem cells
  125. Crosstalk between lactic acid and immune regulation and its value in the diagnosis and treatment of liver failure
  126. Clinicopathological features and differential diagnosis of gastric pleomorphic giant cell carcinoma
  127. Traumatic brain injury and rTMS-ERPs: Case report and literature review
  128. Extracellular fibrin promotes non-small cell lung cancer progression through integrin β1/PTEN/AKT signaling
  129. Knockdown of DLK4 inhibits non-small cell lung cancer tumor growth by downregulating CKS2
  130. The co-expression pattern of VEGFR-2 with indicators related to proliferation, apoptosis, and differentiation of anagen hair follicles
  131. Inflammation-related signaling pathways in tendinopathy
  132. CD4+ T cell count in HIV/TB co-infection and co-occurrence with HL: Case report and literature review
  133. Clinical analysis of severe Chlamydia psittaci pneumonia: Case series study
  134. Bioinformatics analysis to identify potential biomarkers for the pulmonary artery hypertension associated with the basement membrane
  135. Influence of MTHFR polymorphism, alone or in combination with smoking and alcohol consumption, on cancer susceptibility
  136. Catharanthus roseus (L.) G. Don counteracts the ampicillin resistance in multiple antibiotic-resistant Staphylococcus aureus by downregulation of PBP2a synthesis
  137. Combination of a bronchogenic cyst in the thoracic spinal canal with chronic myelocytic leukemia
  138. Bacterial lipoprotein plays an important role in the macrophage autophagy and apoptosis induced by Salmonella typhimurium and Staphylococcus aureus
  139. TCL1A+ B cells predict prognosis in triple-negative breast cancer through integrative analysis of single-cell and bulk transcriptomic data
  140. Ezrin promotes esophageal squamous cell carcinoma progression via the Hippo signaling pathway
  141. Ferroptosis: A potential target of macrophages in plaque vulnerability
  142. Predicting pediatric Crohn's disease based on six mRNA-constructed risk signature using comprehensive bioinformatic approaches
  143. Applications of genetic code expansion and photosensitive UAAs in studying membrane proteins
  144. HK2 contributes to the proliferation, migration, and invasion of diffuse large B-cell lymphoma cells by enhancing the ERK1/2 signaling pathway
  145. IL-17 in osteoarthritis: A narrative review
  146. Circadian cycle and neuroinflammation
  147. Probiotic management and inflammatory factors as a novel treatment in cirrhosis: A systematic review and meta-analysis
  148. Hemorrhagic meningioma with pulmonary metastasis: Case report and literature review
  149. SPOP regulates the expression profiles and alternative splicing events in human hepatocytes
  150. Knockdown of SETD5 inhibited glycolysis and tumor growth in gastric cancer cells by down-regulating Akt signaling pathway
  151. PTX3 promotes IVIG resistance-induced endothelial injury in Kawasaki disease by regulating the NF-κB pathway
  152. Pancreatic ectopic thyroid tissue: A case report and analysis of literature
  153. The prognostic impact of body mass index on female breast cancer patients in underdeveloped regions of northern China differs by menopause status and tumor molecular subtype
  154. Report on a case of liver-originating malignant melanoma of unknown primary
  155. Case report: Herbal treatment of neutropenic enterocolitis after chemotherapy for breast cancer
  156. The fibroblast growth factor–Klotho axis at molecular level
  157. Characterization of amiodarone action on currents in hERG-T618 gain-of-function mutations
  158. A case report of diagnosis and dynamic monitoring of Listeria monocytogenes meningitis with NGS
  159. Effect of autologous platelet-rich plasma on new bone formation and viability of a Marburg bone graft
  160. Small breast epithelial mucin as a useful prognostic marker for breast cancer patients
  161. Continuous non-adherent culture promotes transdifferentiation of human adipose-derived stem cells into retinal lineage
  162. Nrf3 alleviates oxidative stress and promotes the survival of colon cancer cells by activating AKT/BCL-2 signal pathway
  163. Favorable response to surufatinib in a patient with necrolytic migratory erythema: A case report
  164. Case report of atypical undernutrition of hypoproteinemia type
  165. Down-regulation of COL1A1 inhibits tumor-associated fibroblast activation and mediates matrix remodeling in the tumor microenvironment of breast cancer
  166. Sarcoma protein kinase inhibition alleviates liver fibrosis by promoting hepatic stellate cells ferroptosis
  167. Research progress of serum eosinophil in chronic obstructive pulmonary disease and asthma
  168. Clinicopathological characteristics of co-existing or mixed colorectal cancer and neuroendocrine tumor: Report of five cases
  169. Role of menopausal hormone therapy in the prevention of postmenopausal osteoporosis
  170. Precisional detection of lymph node metastasis using tFCM in colorectal cancer
  171. Advances in diagnosis and treatment of perimenopausal syndrome
  172. A study of forensic genetics: ITO index distribution and kinship judgment between two individuals
  173. Acute lupus pneumonitis resembling miliary tuberculosis: A case-based review
  174. Plasma levels of CD36 and glutathione as biomarkers for ruptured intracranial aneurysm
  175. Fractalkine modulates pulmonary angiogenesis and tube formation by modulating CX3CR1 and growth factors in PVECs
  176. Novel risk prediction models for deep vein thrombosis after thoracotomy and thoracoscopic lung cancer resections, involving coagulation and immune function
  177. Exploring the diagnostic markers of essential tremor: A study based on machine learning algorithms
  178. Evaluation of effects of small-incision approach treatment on proximal tibia fracture by deep learning algorithm-based magnetic resonance imaging
  179. An online diagnosis method for cancer lesions based on intelligent imaging analysis
  180. Medical imaging in rheumatoid arthritis: A review on deep learning approach
  181. Predictive analytics in smart healthcare for child mortality prediction using a machine learning approach
  182. Utility of neutrophil–lymphocyte ratio and platelet–lymphocyte ratio in predicting acute-on-chronic liver failure survival
  183. A biomedical decision support system for meta-analysis of bilateral upper-limb training in stroke patients with hemiplegia
  184. TNF-α and IL-8 levels are positively correlated with hypobaric hypoxic pulmonary hypertension and pulmonary vascular remodeling in rats
  185. Stochastic gradient descent optimisation for convolutional neural network for medical image segmentation
  186. Comparison of the prognostic value of four different critical illness scores in patients with sepsis-induced coagulopathy
  187. Application and teaching of computer molecular simulation embedded technology and artificial intelligence in drug research and development
  188. Hepatobiliary surgery based on intelligent image segmentation technology
  189. Value of brain injury-related indicators based on neural network in the diagnosis of neonatal hypoxic-ischemic encephalopathy
  190. Analysis of early diagnosis methods for asymmetric dementia in brain MR images based on genetic medical technology
  191. Early diagnosis for the onset of peri-implantitis based on artificial neural network
  192. Clinical significance of the detection of serum IgG4 and IgG4/IgG ratio in patients with thyroid-associated ophthalmopathy
  193. Forecast of pain degree of lumbar disc herniation based on back propagation neural network
  194. SPA-UNet: A liver tumor segmentation network based on fused multi-scale features
  195. Systematic evaluation of clinical efficacy of CYP1B1 gene polymorphism in EGFR mutant non-small cell lung cancer observed by medical image
  196. Rehabilitation effect of intelligent rehabilitation training system on hemiplegic limb spasms after stroke
  197. A novel approach for minimising anti-aliasing effects in EEG data acquisition
  198. ErbB4 promotes M2 activation of macrophages in idiopathic pulmonary fibrosis
  199. Clinical role of CYP1B1 gene polymorphism in prediction of postoperative chemotherapy efficacy in NSCLC based on individualized health model
  200. Lung nodule segmentation via semi-residual multi-resolution neural networks
  201. Evaluation of brain nerve function in ICU patients with Delirium by deep learning algorithm-based resting state MRI
  202. A data mining technique for detecting malignant mesothelioma cancer using multiple regression analysis
  203. Markov model combined with MR diffusion tensor imaging for predicting the onset of Alzheimer’s disease
  204. Effectiveness of the treatment of depression associated with cancer and neuroimaging changes in depression-related brain regions in patients treated with the mediator-deuterium acupuncture method
  205. Molecular mechanism of colorectal cancer and screening of molecular markers based on bioinformatics analysis
  206. Monitoring and evaluation of anesthesia depth status data based on neuroscience
  207. Exploring the conformational dynamics and thermodynamics of EGFR S768I and G719X + S768I mutations in non-small cell lung cancer: An in silico approaches
  208. Optimised feature selection-driven convolutional neural network using gray level co-occurrence matrix for detection of cervical cancer
  209. Incidence of different pressure patterns of spinal cerebellar ataxia and analysis of imaging and genetic diagnosis
  210. Pathogenic bacteria and treatment resistance in older cardiovascular disease patients with lung infection and risk prediction model
  211. Adoption value of support vector machine algorithm-based computed tomography imaging in the diagnosis of secondary pulmonary fungal infections in patients with malignant hematological disorders
  212. From slides to insights: Harnessing deep learning for prognostic survival prediction in human colorectal cancer histology
  213. Ecology and Environmental Science
  214. Monitoring of hourly carbon dioxide concentration under different land use types in arid ecosystem
  215. Comparing the differences of prokaryotic microbial community between pit walls and bottom from Chinese liquor revealed by 16S rRNA gene sequencing
  216. Effects of cadmium stress on fruits germination and growth of two herbage species
  217. Bamboo charcoal affects soil properties and bacterial community in tea plantations
  218. Optimization of biogas potential using kinetic models, response surface methodology, and instrumental evidence for biodegradation of tannery fleshings during anaerobic digestion
  219. Understory vegetation diversity patterns of Platycladus orientalis and Pinus elliottii communities in Central and Southern China
  220. Studies on macrofungi diversity and discovery of new species of Abortiporus from Baotianman World Biosphere Reserve
  221. Food Science
  222. Effect of berrycactus fruit (Myrtillocactus geometrizans) on glutamate, glutamine, and GABA levels in the frontal cortex of rats fed with a high-fat diet
  223. Guesstimate of thymoquinone diversity in Nigella sativa L. genotypes and elite varieties collected from Indian states using HPTLC technique
  224. Analysis of bacterial community structure of Fuzhuan tea with different processing techniques
  225. Untargeted metabolomics reveals sour jujube kernel benefiting the nutritional value and flavor of Morchella esculenta
  226. Mycobiota in Slovak wine grapes: A case study from the small Carpathians wine region
  227. Elemental analysis of Fadogia ancylantha leaves used as a nutraceutical in Mashonaland West Province, Zimbabwe
  228. Microbiological transglutaminase: Biotechnological application in the food industry
  229. Influence of solvent-free extraction of fish oil from catfish (Clarias magur) heads using a Taguchi orthogonal array design: A qualitative and quantitative approach
  230. Chromatographic analysis of the chemical composition and anticancer activities of Curcuma longa extract cultivated in Palestine
  231. The potential for the use of leghemoglobin and plant ferritin as sources of iron
  232. Investigating the association between dietary patterns and glycemic control among children and adolescents with T1DM
  233. Bioengineering and Biotechnology
  234. Biocompatibility and osteointegration capability of β-TCP manufactured by stereolithography 3D printing: In vitro study
  235. Clinical characteristics and the prognosis of diabetic foot in Tibet: A single center, retrospective study
  236. Agriculture
  237. Biofertilizer and NPSB fertilizer application effects on nodulation and productivity of common bean (Phaseolus vulgaris L.) at Sodo Zuria, Southern Ethiopia
  238. On correlation between canopy vegetation and growth indexes of maize varieties with different nitrogen efficiencies
  239. Exopolysaccharides from Pseudomonas tolaasii inhibit the growth of Pleurotus ostreatus mycelia
  240. A transcriptomic evaluation of the mechanism of programmed cell death of the replaceable bud in Chinese chestnut
  241. Melatonin enhances salt tolerance in sorghum by modulating photosynthetic performance, osmoregulation, antioxidant defense, and ion homeostasis
  242. Effects of plant density on alfalfa (Medicago sativa L.) seed yield in western Heilongjiang areas
  243. Identification of rice leaf diseases and deficiency disorders using a novel DeepBatch technique
  244. Artificial intelligence and internet of things oriented sustainable precision farming: Towards modern agriculture
  245. Animal Sciences
  246. Effect of ketogenic diet on exercise tolerance and transcriptome of gastrocnemius in mice
  247. Combined analysis of mRNA–miRNA from testis tissue in Tibetan sheep with different FecB genotypes
  248. Isolation, identification, and drug resistance of a partially isolated bacterium from the gill of Siniperca chuatsi
  249. Tracking behavioral changes of confined sows from the first mating to the third parity
  250. The sequencing of the key genes and end products in the TLR4 signaling pathway from the kidney of Rana dybowskii exposed to Aeromonas hydrophila
  251. Development of a new candidate vaccine against piglet diarrhea caused by Escherichia coli
  252. Plant Sciences
  253. Crown and diameter structure of pure Pinus massoniana Lamb. forest in Hunan province, China
  254. Genetic evaluation and germplasm identification analysis on ITS2, trnL-F, and psbA-trnH of alfalfa varieties germplasm resources
  255. Tissue culture and rapid propagation technology for Gentiana rhodantha
  256. Effects of cadmium on the synthesis of active ingredients in Salvia miltiorrhiza
  257. Cloning and expression analysis of VrNAC13 gene in mung bean
  258. Chlorate-induced molecular floral transition revealed by transcriptomes
  259. Effects of warming and drought on growth and development of soybean in Hailun region
  260. Effects of different light conditions on transient expression and biomass in Nicotiana benthamiana leaves
  261. Comparative analysis of the rhizosphere microbiome and medicinally active ingredients of Atractylodes lancea from different geographical origins
  262. Distinguish Dianthus species or varieties based on chloroplast genomes
  263. Comparative transcriptomes reveal molecular mechanisms of apple blossoms of different tolerance genotypes to chilling injury
  264. Study on fresh processing key technology and quality influence of Cut Ophiopogonis Radix based on multi-index evaluation
  265. An advanced approach for fig leaf disease detection and classification: Leveraging image processing and enhanced support vector machine methodology
  266. Erratum
  267. Erratum to “Protein Z modulates the metastasis of lung adenocarcinoma cells”
  268. Erratum to “BRCA1 subcellular localization regulated by PI3K signaling pathway in triple-negative breast cancer MDA-MB-231 cells and hormone-sensitive T47D cells”
  269. Retraction
  270. Retraction to “Protocatechuic acid attenuates cerebral aneurysm formation and progression by inhibiting TNF-alpha/Nrf-2/NF-kB-mediated inflammatory mechanisms in experimental rats”
Downloaded on 6.9.2025 from https://www.degruyterbrill.com/document/doi/10.1515/biol-2022-0686/html
Scroll to top button