Effects of γ-globulin combined with dexamethasone or methylprednisolone in the treatment of acute transverse myelitis (ATM) were investigated. A retrospective analysis of medical records from 136 ATM patients admitted to Linzi District People's Hospital from July 2014 to September 2017 was performed. Patients treated with dexamethasone combined with γ-globulin were in group A (66 cases), and patients treated with methylprednisolone combined with γ-globulin were in group B (70 cases). Clinical efficacy, recovery time of bone marrow function and incidence rate of adverse reactions were analyzed and compared between the two groups. T-lymphocyte subsets in peripheral blood of both groups were detected by Flow cytometry. Quality of life of patients was assessed by the Quality of Life Scale (SF-36) developed by the American Institute of Medicine. Time of sensory recovery, self-walking, improving muscle strength at two levels and urination recovery after treatment in group B were significantly shorter than those in group A (P<0.001); effective rate of treatment in group B was significantly higher than that in group A (P<0.05); incidence rate of adverse reactions in group B was significantly lower than that in group A (P<0.05); ratios of CD3 + , CD4 + , CD8 + cells and CD4 + /CD8 + in peripheral blood of group A and group B after treatment were significantly higher than those before treatment (P<0.05); scores of general health (GH), physical function (PF), role physical (RP), body pain (BP), social function (SF), role emotional (RE), mental health (MH) and vitality (VT) in group B after treatment were significantly higher than those in group A (P<0.05). In conclusion, clinical efficacy of γ-globulin combined with methylprednisolone in the treatment of ATM patients shows definitely fewer adverse reactions, which can improve their immune function and quality of life.

Background:The study aimed to detect critical metabolites in acute lung injury (ALI). Methods: A comparative analysis of microarray profile of patients with sepsis-induced ALI compared with sepsis patients with was conducted using bioinformatic tools through constructing multi-omics network. Multiomics composite networks (gene network, metabolite network, phenotype network, gene-metabolite association network, phenotype-gene association network, and phenotype-metabolite association network) were constructed, following by integration of these composite networks to establish a heterogeneous network. Next, seed genes, and ALI phenotype were mapped into the heterogeneous network to further obtain a weighted composite network. Random walk with restart (RWR) was used for the weighted composite network to extract and prioritize the metabolites. On the basis of the distance proximity among metabolites, the top 50 metabolites with the highest proximity were identified, and the top 100 co-expressed genes interacted with the top 50 metabolites were also screened out. Results: Totally, there were 9363 nodes and 10,226,148 edges in the integrated composite network. There were 4 metabolites with the scores > 0.009, including CHITIN, Tretinoin, sodium ion, and Celebrex. Adenosine 5'diphosphate, triphosadenine, and tretinoin had higher degrees in the composite network and the co-expressed network. Conclusion: Adenosine 5'-diphosphate, triphosadenine, and tretinoin may be potential biomarkers for diagnosis and treatment of ALI.

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