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Background: The transformation efficiency (TE) of wheat is slow due to its recalcitrance nature to in vitro regeneration and genetic transformation. Nowadays, the TE of wheat immature embryo from cultivar Fielder in the PureWheat technique was greatly improved by a series of special chemical and physical methods. To explore the mechanisms of wheat high TE in this protocol, we strictly followed the procedures to obtain wheat immature embryos after Agrobacterium infection for 24 and 48 h, observed the surface of immature embryos using scanning electron microscope (SEM), and conducted comprehensive transcriptome and metabolome analysis. Results: SEM showed that Agrobacterium tumefaciens were deposited under the damaged cortex of wheat immature embryos caused by pretreatment and contacted the receptor cells to improve the TE. Transcriptome analysis showed that the differentially expressed genes were mainly enriched in phenylpropanoid biosynthesis, starch and sucrose metabolism, and plant-pathogen interaction, plant hormone signal transduction, MAPK signaling pathway. By analyzing the correlation between differentially expressed genes and metabolites, the expression of many genes and accumulation of metabolites are changed in glucose metabolism and the TCA cycle, as well as amino acid metabolism, it suggests that the wheat embryo infected with Agrobacterium is an energy demanding process. The shikimate pathway may act as a hub between glucose metabolism and phenylpropane metabolism during Agrobacterium infection. The down-regulation of F5H gene and up-regulation of CCR gene led to the accumulation of lignin precursor through phenylpropane metabolism. In addition, several metabolic pathways and oxidases were found to be involved in the infection treatment, including melatonin biosynthesis, benzoxazinoid biosynthesis, betaine biosynthesis, superoxide dismutase, peroxidase, which suggest that wheat embryo may be under the stress of Agrobacterium and thus undergo oxidative stress response. Conclusion: Our findings contribute to understand the underlying the mysterious mechanism of the high TE of wheat immature embryos stimulated by Agrobacteriumby exploring valuable genes and metabolites.

Some patients experiencing depressive episodes can switch to mania or become mania during treatment with antidepressants. Avoiding a switch is an important part of any therapeutic plan, whether a patient suffers from unipolar or bipolar depression. One method of avoiding switching is use of a mood stabilizer, such as lithium carbonate.The research team performed a narrative review by searching Chinese electronic databases: the Chinese Biomedical Database (CBM), the China National Knowledge Infrastructure (CNKI), WANFANG, and the Chinese Social Sciences Citation Index (VIP). The search used the keywords depression-bipolar depression and depressive episode-and lithium carbonate. Results such as comments, letters, reviews, and case reports were excluded.The study took place at Jinhua Second Hospital, China.A random effect model was used to account for the data, using Revman 5.2. The switch rate for the intervention groups was 8.28% or 29 out of 351 participants and of the control groups was 25.29% or 87 out of 344 participants (OR = 0.25, 95% CI: 0.16 to 0.39). Lithium carbonate reduced the switch rate by 67.25% [(25.29%-8.28%) /25.29%]. In the bipolar depression group, lithium carbonate reduced the switch rate by 68.11% [(25.84%-8.24%) /25.84%]. In the depression and unipolar depression groups, lithium carbonate reduced the switch rate by 67.07% [(25.29%-8.26%) /25.29%]. In the group of patients treated with selective serotonin reuptake inhibitors (SSRIs), lithium reduced the switch rate by 60.3% [(29.85%-11.85%) /29.85%]. In group of patients treated by tricyclic antidepressants (TCAs), lithium carbonate reduced the switch rate by 73.14% [(22.28%-6.01%) /22.28%].As typical mood stabilizer, lithium carbonate can reduce the antidepressant-induced switch rates in patients with depressive episodes regardless of the type of antidepressant and the type of depressive episode. Further research should compare the effectiveness of lithium carbonate to that of other mood stabilizers in preventing switching associated with antidepressants.

The aim of this study was to identify and understand the syndromes of mania in traditional Chinese medicine (TCM), as described in Chinese literature on the integrated treatment of mania using TCM and Western medicine.A literature search conducted in Chinese databases identified 27 articles that were included in a statistical analysis to determine the proportion of mania cases represented by various TCM syndromes.After combining similar syndromes, we found that the TCM syndromes of mania could be categorized as phlegm-fire disturbance of the mind (Tanhuoraoshen), phlegm-heat stagnation (Tanreyujie), qi stagnation and blood stasis (Qizhixueyu), liver qi stagnation (Gandanyure), and fire injury Yin (Huoshengshnagyin). These syndrome categories accounted for 55.6%, 18.5%, 14.8%, 7.4% and 3.7% of mania cases, respectively. Manic symptom severity scores differed significantly among phlegm-fire disturbance of the mind (26.8 ± 1.6), phlegm-heat stagnation (31.1 ± 1.9), and qi stagnation and blood stasis (23.5 ± 2.2).The largest proportion of mania cases involved phlegm-fire disturbance of the mind, phlegm-heat stagnation, or qi stagnation and blood stasis. Cumulatively, these syndromes accounted for 88.9% of cases; the severity of manic symptoms different significantly among the 3 syndrome categories. Smaller proportions of cases represented liver qi stagnation or fire injury Yin.

Background: Although mania or hypomania was defined as indispensable for bipolar disorder, depressive episodes are more common and impairing, with proven response to treatments.So the prevention switch was a important affair in clinical psychiatryMethods: We searched CBM, CNKI, WANFANG and CSSCI in Chinese to find literature from July 1 2000 to July 31 2020 related to the study in model of “comparison of switch rate between combination treatment of lithium and antidepressant and monotherapy of antidepressant in patients with depressive episode”, among which results such as comments, letters, reviews and case reports were excluded. The rate of switch between groups was synthesized and discussed. Result: A total of 695 subjects were included in 9 studies. Random effect model is used to account for the data by Revman 5.2. The results showed that the switch rate of lithium carbonate was 8.28%(29/350),switch rate of antidepressant was 25.29%(87/344), which was very different in switch rate(OR=0.25, 95% CI: 0.16–0.39) and also indicated that lithium reduced switch rate was 67.25%(25.29%-8.28%/25.29%). In bipolar depression group, lithium reduced switch rate was 68.11%(25.84%-8.24%/25.84%). In depression group, lithium reduced switch rate was 67.34%(25.29%-8.26%/25.29%). In group of patients treated by SSRI, lithium reduced switch rate was 60.3%(29.85%-11.85%/29.85%).In group of patients treated by TCA, lithium reduced switch rate was 73.14%(22.28%-6.01%/22.28%). Conclusion: As typical mood stabilizer, lithium carbonate can reduced switch rate related to antidepressant in patients with depressive episode.

BackgroundThe diagnosis of bipolar disorder is still one of the key problems in psychiatric clinic. Although DSM-5 has made some important changes, it has not completely changed the missed diagnosis and misdiagnosis of bipolar disorder.It was very important that diagnostic scale was used in clinic.But the study results of assist diagnostic scale for bipolar disorder should been concluded and analyzed.Bipolarity index was one of assist diagnostic scale,which should be analyzed comprehensively.MethodsWe searched CBM, CNKI , WANFANG and CSSCI in Chinese to find literature from Julyr 31 2004 to July 31 2020 related to Bipolarity Index in diagnosis for bipolar disorder ,among which results such as comments, letters, reviews and case reports were excluded. The rate of sensitivity,specificity,accuracy,positive predictive value and negative predictive value in diagnosis was synthesized and discussed.ResultsA total of 1237 subjects were included in 5 studies. Random effect model is used to account for the data by Revman 5.2. The results showed that the sensitivity of BI in diagnostic was 0.93 (95% CI: 0.93–1.00), the specificity was 85% (95% CI: 0.69–0.96). the positive predict value was 74% (95% CI: 0.53–0.91).the negative predict value was 95% (95% CI: 0.81–1.00).and accuracy was 86% (95% CI: 0.77–0.93). Significant heterogeneity was detected across studies regarding these incidence estimates. ConclusionThe idea diagnostic value of BI was found. although the significant heterogeneity detected in studies.We must interpret the results with caution and also put attention to this result,which include comparison to other diagnostic scale,perfecting sue of BI in clinical psychiatry.