Objective:To prepare IL-12 modified with polyethylene glycol derivatives and determine its modification sites,and to evaluate it in vitro in terms of stability,hemogram recovery,anti-tumor effects and other aspects.Methods:IL-12 was modified with polyethylene glycol propionaldehyde and maleimide imide derivatives,and modified sites of two different derivatives were deter-mined by ultra performance liquid chromatography(UPLC).Recombinant human IL-12 and PEG-IL-12 were used to stimulate NK92 cells,activity and cytotoxicity of IFN-γ were evaluated by kits.CD34+was stimulated to evaluate its blood picture recovery potential.NK cell killing was stimulated to evaluate its effectiveness in improving immunity and anti-tumor effects.Results:Compared with recombinant human IL-12,PEG-IL-12 had higher stability,blood picture recovery potential and anti-tumor effects.Conclusion:PEG-IL-12 can effectively overcome many drawbacks of recombinant human IL-12,greatly improving possibility of its widespread applica-tion in clinical trials.

The recurrent neural network architecture improves the processing ability of time-series data. However, issues such as exploding gradients and poor feature extraction limit its application in the automatic diagnosis of mild cognitive impairment (MCI). This paper proposed a research approach for building an MCI diagnostic model using a Bayesian-optimized bidirectional long short-term memory network (BO-BiLSTM) to address this problem. The diagnostic model was based on a Bayesian algorithm and combined prior distribution and posterior probability results to optimize the BO-BiLSTM network hyperparameters. It also used multiple feature quantities that fully reflected the cognitive state of the MCI brain, such as power spectral density, fuzzy entropy, and multifractal spectrum, as the input of the diagnostic model to achieve automatic MCI diagnosis. The results showed that the feature-fused Bayesian-optimized BiLSTM network model achieved an MCI diagnostic accuracy of 98.64% and effectively completed the diagnostic assessment of MCI. In conclusion, based on this optimization, the long short-term neural network model has achieved automatic diagnostic assessment of MCI, providing a new diagnostic model for intelligent diagnosis of MCI.
Humans ; Bayes Theorem ; Neural Networks, Computer ; Algorithms ; Brain ; Cognitive Dysfunction/diagnosis*

Objective:To investigate the effect of botulinum toxin type A on children with odorihidrosis.Methods:From March 2017 to February 2021, 121 children with odorihidrosis, including 48 males and 73 females, aged 13 to 17 (15.9±1.2) years, were admitted to the Burn and Plastic Surgery Department of the 980 Hospital of PLA. There were 24 cases in mild group, 50 cases in moderate group and 47 cases in severe group. Botulinum toxin A was injected into 20-50 points on each side, and 1 U was injected into each point. The total amount of botulinum toxin A was 50-100 U on both sides.Results:Three groups of children were evaluated for efficacy, 24 cases of mild group was significantly effective in 23 cases, accounting for 95.8%. In the moderate group, 46 (92.0%) of 50 cases showed obvious effect. 49 cases (98.0%) were effective; In the severe group, 40 cases (85.1%) showed obvious effect and 45 cases (95.7%) were effective. Three groups of children with different efficacy had no statistical significance ( P>0.05). The significant efficiency in mild and moderate groups was higher than that in severe group, and the difference was statistically significant ( P<0.05). Conclusions:Botulinum toxin type A is effective in the treatment of children with mild and moderate bromhidrosis, and is worthy of clinical application.

ObjectiveTo explore the action mechanism of Linggan Wuwei Jiangxintang on the treatment of lipopolysaccharide （LPS）-induced acute lung injury （ALI） in mice. MethodTraditional Chinese Medicine Systems Pharmacology Database and Analysis Platform （TCMSP）， GeneCards， DisGeNET， and Herb databases were combined with clinical data from Gene Expression Omnibus （GEO） to screen the key targets of Linggan Wuwei Jiangxintang in the treatment of ALI. The protein-protein interaction （PPI） network was constructed to screen the core targets， and gene ontology （GO） and Kyoto encyclopedia of genes and genomes （KEGG） pathway enrichment analyses were performed. The mouse ALI model was established by LPS induction to verify the effect and key targets of Linggan Wuwei Jiangxintang on the treatment of ALI. The expression levels of Toll-like receptor 4 （TLR4）， nuclear transcription factor-κB p65 （NF-κB p65）， and phosphorylated NF-κB p65 （NF-κB p-p65） in lung tissue were detected by Western blot. ResultThe analysis showed that the treatment of ALI with Linggan Wuwei Jiangxintang was related to 10 core targets such as interleukin-6 （IL-6）， tumor necrosis factor-α （TNF-α）， and JUN， involving TNF signaling pathway， Toll-like receptor signaling pathway， NF-κB signaling pathway， etc. The animal experimental results show that Linggan Wuwei Jiangxintang can reduce lung injury， improve the pathological state of ALI mice， significantly reduce the expression of TNF-α and IL-6 in serum， increase the activity of total superoxide dismutase （T-SOD） and catalase （CAT） in lung tissue， and reduce the expression levels of JUN， TLR4， NF-κB p65， and NF-κB p-p65 proteins in lung tissue. ConclusionLinggan Wuwei Jiangxintang can inhibit LPS-induced inflammation and oxidative damage in ALI mice， and its mechanism may be related to the inhibition of TLR4/NF-κB signaling pathway and the reduction of inflammatory factors such as TNF-α and IL-6.

The electroencephalogram (EEG) signal is a general reflection of the neurophysiological activity of the brain, which has the advantages of being safe, efficient, real-time and dynamic. With the development and advancement of machine learning research, automatic diagnosis of Alzheimer's diseases based on deep learning is becoming a research hotspot. Started from feedforward neural networks, this paper compared and analysed the structural properties of neural network models such as recurrent neural networks, convolutional neural networks and deep belief networks and their performance in the diagnosis of Alzheimer's disease. It also discussed the possible challenges and research trends of this research in the future, expecting to provide a valuable reference for the clinical application of neural networks in the EEG diagnosis of Alzheimer's disease.
Humans ; Alzheimer Disease/diagnosis* ; Neural Networks, Computer ; Machine Learning ; Brain ; Electroencephalography

Wound repair is a fundamental task that the whole field of the Burn and Plastic surgery pays urgent attention to and longs for a breakthrough. In this column, wound repair balance laws theory is expounded and we are expecting people in the field gradually began to value the use of balance law. Guided by the law of balance principle, people are required to conduct scientific research, improve clinical technique and develop new materials. The theory is designed to improve the level of scientific research and clinical diagnosis, and will set up a new milestone in the field of wound repair.

At present, the most commonly used surgical measures for treatment of severe traumatic brain injury (sTBI) mainly include external ventricular puncture and drainage (EVD), decompressive craniectomy (DC), intracranial hematoma clearance and intracerebral decompression of contusion and laceration. All of these procedures can reduce intracranial pressure (ICP) and mortality, but they have the disadvantage of high postoperative adverse functional outcomes. With further study of glyymphatic system and intracranial microsurgery, some scholars have proposed a new neurosurgical technique: cisternostomy, which could achieve good results in the treatment of some refractory intracranial hypertension patients with sTBI. In this paper, we will summarize the recent advance in cisternostomy in the treatment of sTBI by reviewing the relevant literature at domestic and abroad in recent years, including the systematic evaluation of its pathophysiological basis, surgical techniques, surgical indications and contraindications, and surgical efficacy.

Objective:To investigate the influences of minimally invasive hematoma removal assisted by stereotaxis technique and conservative treatment in clinical prognoses of patients with small/medium intracerebral hematoma in the basal ganglia.Methods:Sixty-four patients with spontaneous basal ganglia cerebral hemorrhage, admitted to our hospital from March 2020 to March 2021, were enrolled in our study; these patients were randomly divided into surgical group (accepted minimally invasive hematoma removal assisted by stereotaxis technique, n=33) and conservative treatment group ( n=31). The baseline general data and 6 months follow-up data of patients from the 2 groups were compared. The Glasgow outcome scale (GOS) scores, modified Barthel index (MBI), modified Rankin scale (mRS) scores and complications were compared 7 d, 1 month and 6 months after surgery. Results:There were no significant differences in gender, age, and amount of bleeding between the 2 groups ( P>0.05). On the 7 th d of surgery, there were no significant differences in GOS scores, MBI, and mRS scores between the 2 groups ( P>0.05). One month after surgery, there were statistically significant differences in GOS scores, MBI, and mRS scores between the 2 groups ( P<0.05); the good prognosis rate in the surgical group was 78.79% (26/33), and that in the conservative treatment group was 25.81%(8/31), with significant difference ( P<0.05). Six months after surgery, there were significant differences in GOS scores, MBI, and mRS scores between the 2 groups ( P<0.05); the good prognosis rate in the surgical group was 95.7% (29/33), and that in the conservative treatment group was 32.3% (10/31), with significant difference ( P<0.05). The incidence of complications in the surgical group and conservative treatment group was 6.06% and 29.03%, respectively, with significant difference ( P<0.05). Conclusion:Minimally invasive hematoma removal assisted by stereotaxis technique is more conducive to the repair of nerve function in patients with moderate to small cerebral hemorrhage in the basal ganglia than conservative treatment.

Objective:To investigate the clinicopathologic features, treatment, and prognosis in patients with Castleman disease (CD) .Methods:We retrospectively analyzed the clinicopathologic data of 59 patients for whom a diagnosis of Castleman disease was confirmed using pathological examination from October 2011 to October 2019 at the Henan Cancer Hospital. The patients were divided into the following two groups as per the following clinical classifications: unicentric CD (UCD, n=47) and multicentric CD (MCD, n=12) . Data on clinical manifestations, laboratory findings, treatment, and prognosis were analyzed. Results:There was no significant difference in the median age and the ratio of male to female between the UCD and MCD. UCD was characterized by asymptomatic enlargement of the single lymph node. The main pathological type was hyaline vascular histopathology (83.0%) . Of these, 44 patients chose surgical resection, and their prognosis was good. Treatment. MCD was characterized by multiple enlarged superficial and/or deep lymph nodes with B symptoms, weakness, and hepatosplenomegaly. Anemia, hypoproteinemia, and globulin level were increased on laboratory examinations. Plasmacyte histopathology was the main pathological type and was present in about 50.0% of the subjects. Only chemotherapy was performed for these MCD patients, followed by chemotherapy or chemotherapy followed by radiotherapy, and the efficient was 58.3% (7/12) .Conclusions:UCD, characterized by asymptomatic enlargement of the single lymph node, shows good postoperative prognosis. MCD has relatively complex clinical manifestations and poor prognosis, and optimal treatment is yet to be established.

Objective To investigate the effect of cisternostomy on the prognosis of patients with traumatic brain injury (TBI).Methods A retrospective case control study was conducted to analyze the clinical data of 46 patients with TBI admitted to Shanxi Dayi Hospital from May 2017 to September 2018.There were 37 males and nine females,aged 24-80 years [(49.8 ± 15.7)years].The injury severity score (ISS) was 6-42 points [(25.0 ± 8.2)points],and the Glasgow Coma score (GCS) was 3-14 points [(3.4 ± 1.7) points].Twenty-three patients underwent routine surgery only (control group),and 23 patients underwent cisternostomy (cisternostomy group) on the basis of routine surgery.Intracranial pressure monitoring was performed in both groups before surgery.The postoperative intracranial pressure,intracranial pressure 1 week after operation,postoperative mechanical ventilation time,neurosurgical ICU (NICU) time,postoperative dehydration dose,decompressive craniectomy rate,postoperative infection rate,mortality rate,length of hospital stay,GCS at discharge,and Glasgow outcome score (GOS) of 3 months of follow-up were compared between the two groups.Results Compared with the control group,the cistemostomy group had lower postoperative intracranial pressure [(7.1 ± 5.7) mmHg vs.(14.2 ± 12.0) mmHg)],intracranial pressure 1 week after operation [(11.8 ± 0.5) mmHg vs.(14.0 ± 0.7) mmHg],postoperative dosage of dehydrating agent [0 (0-500.0) ml vs.1 275 (787.5-3 812.5) ml] and decompression rate (57％ ∶ 91％) (P ＜ 0.05).There were no significant differences between the cistemostomy group and control group in postoperative mechanical ventilation time [120 (42.0-225.0)hours vs.89(65.5-203.5)hours],NICU time [236(182.0-340.5)hoursvs.281 (114-400)hours],postoperative infection rate (4％ vs.0),mortality rate (13％ vs.39％) and hospital stay [32 (20.0-44.5) hours vs.25 (12.0-30.5)hours] (P ＞ 0.05).The cisternostomy group had higher GCS score at discharge than the control group [(10.7 ± 4.2) points vs.(7.9 ± 4.2) points] (P ＜ 0.05).After 3 months of follow-up,18 patients in the cisternostomy group showed good prognosis,better than that in the control group (11 patients) (P ＜ 0.05).Conclusion For TBI patients,cisternostomy can clear the blood cerebrospinal fluid,reduce harmful metabolic products in the brain,reduce intracranial pressure and hence improve the prognosis of patients.