Changes in sucrose metabolism patterns affect the early maturation of Cassava sexual tetraploid roots.

BACKGROUND: Cassava (Manihot esculenta Crantz) is an important multiuse crop grown for economic and energy purposes. Its vegetative organs are storage roots, in which the main storage material is starch. The accumulation characteristics of starch in cassava roots can directly affect the yield, starch content and maturation of cassava storage roots. In this study, we used a cassava sexual tetraploid (ST), which showed early maturation heterosis in previous work, as the main test material. We analyzed the sucrose metabolism and starch accumulation characteristics of the ST and its parents from the leaf "source" to the storage root "sink" during different developmental stages and explored the regulatory mechanisms of ST storage root early maturation by combining the transcriptome data of the storage roots during the expansion period. RESULTS: The results showed that the trends in sucrose, glucose and fructose contents in the ST leaves were similar to those of the two parents during different stages of development, but the trends in the ST storage roots were significantly different from those of their parents, which showed high sucrose utilization rates during the early stage of development and decreased utilization capacity in the late developmental stage. Transcriptome data showed that the genes that were expressed differentially between ST and its parents were mainly involved in the degradation and utilization of sucrose in the storage roots, and four key enzyme genes were significantly upregulated (Invertase MeNINV8/MeVINV3, Sucrose synthase MeSuSy2, Hexokinase MeHXK2), while the expressions of key enzyme genes involved in starch synthesis were not significantly different. CONCLUSIONS: The results revealed that the pattern of sucrose degradation and utilization in the cassava ST was different from that of its parents and promoted early maturation in its tuberous roots. Starch accumulation in the ST from sucrose mainly occurred during the early expansion stage of the storage roots, and the starch content during this period was higher than that of both parents, mainly due to the regulation of invertase and hexokinase activities during sucrose metabolism. This study provides a basis for further genetic improvements to cassava traits and for breeding varieties that mature early and are adapted well to provide starch supply requirements.

Integrative serum metabolomic analysis for preventive effects of Yaobitong capsule in adjuvant-induced rheumatoid arthritis rat based on RP/HILIC-UHPLC-Q-TOF MS.

Yaobitong capsule (YBTC) has been used for the prevention and treatment of inflammation-related lumbago and leg pain. However, its intervention mechanism still remains unclear. This study was aimed to evaluate the control efficiency of YBTC on adjuvant-induced rheumatoid arthritis (RA) rats by metabonomic method and to explore its possible anti-arthritis mechanism. Taking into account the complexity of endogenous metabolites in serum samples, an integrated metabolomics method based on RP/HILIC-UHPLC-Q-TOF MS was developed, to overcome the limitations of a single chromatographic in this study. The results showed that 32 potential biomarkers of arthritis were identified, primarily related to amino acid metabolism, glucose metabolism, lipid metabolism and nucleotide metabolism. Further receiver operating characteristic analysis revealed that the area under the curve of two down-regulated metabolites (3-Hydroxy-hexadecanoic acid, 2-Oxoarginine) and one up-regulated metabolite (l-Glutamic acid) among 32 biomarkers were 0.906, 0.969 and 1.000, respectively, indicating that high predictive ability of this method for RA. In this study, an integrated serum metabolomics method based on high-resolution mass spectrometry was successfully established for the first time to study the intervention mechanism of YBTC in RA, providing evidence regarding the clinical application of YBTC and a new insight for the prevention of RA in the future.

Efficacy of simplified-cognitive behavioral therapy for insomnia(S-CBTI) among female COVID-19 patients with insomnia symptom in Wuhan mobile cabin hospital.

BACKGROUND: The outbreak of Coronavirus Disease-2019 (COVID-19) caused great psychological distress often with comorbid insomnia. Insomnia is common in patients with COVID-19 admitted to mobile cabin hospitals. Insomnia may lead to immune dysfunction, a condition not conducive to recovery from COVID-19. The use of sedative-hypnotic drugs is limited by their inhibitory effect on the respiratory system. A paucity of research is available regarding psychotherapy interventions to improve insomnia symptoms among  patients with COVID-19. In the general population, sleep problems are more common in women than in men; insomnia in women patients requires special attention. The aim of this study was to develop simplified-cognitive behavioral therapy for insomnia (S-CBTI) for patients with COVID-19 and comorbid insomnia symptoms and to verify its effectiveness through a self-control trial. A second aim was to compare the effectiveness of S-CBTI between acute and chronic insomnia among women with COVID-19 and comorbid insomnia symptoms in Wuhan Jianghan Cabin Hospital. METHODS: S-CBTI consisted of education on COVID-19 and sleep hygiene, stimulus control, sleep restriction, and self-suggestion relaxation training over a period of two consecutive weeks. Of 67 women, 66 completed psychological intervention and baseline and post-intervention assessments. There were 31 women with acute insomnia and 35 with chronic insomnia. The Insomnia Severity Index (ISI) score and self-compiled sleep data were assessed at baseline and post-intervention, and subjective sleep evaluations were assessed at days 4, 7, 12, and 14. RESULTS: The ISI score, sleep latency, night sleep time, and sleep efficiency were statistically significantlly improved from baseline to post-intervention by paired T-test. After the intervention, the mean ISI score of the acute insomnia group was lower than that of the chronic insomnia group. The reduction of the ISI score and the improvement of sleep time from baseline to post-intervention in the acute insomnia group were greater than those in the chronic insomnia group. Utilization of sedative-hypnotic drugs in the acute insomnia group was less than that in the chronic insomnia group, and the difference was statistically significant. CONCLUSIONS: S-CBTI can improve the insomnia symptoms of women with COVID-19 in mobile cabin hospitals, especially for stress-related acute insomnia.

Deployment experiences of military nurses: A systematic review and qualitative meta-synthesis.

AIMS: The purpose of this systematic review is to explore military nurses' preparation, deployment and reintegration experiences in order to provide recommendations for effective management of the nursing team. BACKGROUND: Nurses provide health care in different settings including community, hospital and the disaster site. Military nurses have a long history of deploying for global health. METHOD: A systematic review and qualitative meta-synthesis of studies focusing on the preparation, deployment and reintegration experiences of military nurses was carried out. RESULTS: Five synthesized findings were concluded: (a) preparing and sharing experience are the key coping strategies; (b) transition from the civilian care to emergency situations; (c) teamwork contributing to team bonding and the growing role of nursing in the medical team; (d) devoting to nursing duty achieves growth; (e) reintegration is not easy and external support matters. CONCLUSION: Transition from civilian care to deployment and from structured deployment environment to reintegration poses challenges to nurses, and better preparation, sufficient support enables them to gain growth. IMPLICATIONS FOR NURSING MANAGEMENT: Nurse managers should consider how to sustain a competent and ready nursing team by proposing training protocols to nurses for the potential challenges during the deployment cycle when responding to disasters and public emergencies.

UPLC-MS/MS simultaneous determination of seven active ingredients of Yaobitong capsule in rat plasma and its integrated pharmacokinetic application.

A reliable and sensitive UPLC-MS/MS method was first established and validated for the simultaneous determination of seven active ingredients of Yaobitong capsule in rat plasma: ginsenoside Rg1, ginsenoside Rb1, osthole, tetrahydropalmatine, paeoniflorin, albiflorin, and ferulic acid. And this method was further applied for the integrated pharmacokinetic study of Yaobitong capsule in rats after oral administration. Plasma samples (100 µL) were precipitated with 300 µL of methanol using carbamazepine as internal standard. Chromatographic separation was achieved using an Aquity UPLC BEH C18 column (100 × 2.1 mm, 1.7 µm), with the mobile phase consisting of 0.1% formic acid and acetonitrile. The method was validated using a good linear relationship (r ≥ 0.991), and the lower limit of quantification of the analytes ranged from 0.5 to 40 ng/mL. In the integrated pharmacokinetic study, the weight coefficient was calculated by the ratio of AUC0-∞ of each component to the total AUC0-∞ of the seven active ingredients. The integrated pharmacokinetic parameters Cmax , Tmax , and t1/2 were 81.54 ± 9.62 ng/mL, 1.00 ± 0.21 h, and 3.26 ± 1.14 h, respectively. The integration of pharmacokinetic parameters showed a shorter t1/2 because of fully considering the contribution of the characteristics of each active ingredient to the overall pharmacokinetics.

The Controllable Mechanical Properties of Coiled Carbon Nanotubes with Stone-Wales and Vacancy Defects.

Coiled carbon nanotubes (CCNTs) as a promising nanometer scale spring are investigated for the effect of the defects on the tensile mechanical properties of CCNTs by using molecular dynamics (MD) simulations. Six samples of defective CCNTs are constructed by introducing the defects in the different positions. The results show an obvious decrease in the spring constant and elastic limit of defective CCNTs, which results in the lower energy storage ability during the elastic range compared with the perfect CCNTs. However, the defected CCNTs exhibit better ductility (138.9%) and higher energy absorbing ability (1539.93 J/g) during the fracture process since introduced defects change the deformation pattern. Furthermore, among the defected CCNTs, the stiffness (1.48~1.93 nN/nm), elastic limit (75.2~88.7%), ductility (108.5~138.9%), and deformation pattern can be adjusted by changing the position or the type of defects. This study firstly provides insight into the effects of Stone-Wales (SW) and vacancy defects on the mechanical properties of CCNTs, and the obtained results are meaningful for designing CCNTs with specified properties by introducing defects.

Desulfurization of diesel via joint adsorption and extraction using a porous liquid derived from ZIF-8 and a phosphonium-type ionic liquid.

A type-III porous liquid based on zeolitic imidazolate framework-8 (ZIF-8) and an ionic liquid trihexyltetradecylphosphonium bis(trifluoromethylsulfonyl)imide ([THTDP][BTI]) was synthesized and used for the desulfurization of model diesel. The desulfurization effect by ZIF-8/[THTDP][BTI] combined both the adsorptive desulfurization by ZIF-8 and the extraction desulfurization by [THTDP][BTI]. The removal of the three chosen aromatic organic sulfides by the ZIF-8/[THTDP][BTI] porous liquid followed the order of dibenzothiophene (73.1%) > benzothiophene (70.0%) > thiophene (61.5%). It was further found that deep desulfurization could be realized by ZIF-8/[THTDP][BTI] through triple desulfurization cycles and ZIF-8/[THTDP][BTI] can be regenerated readily. The desulfurization mechanism was explored further in detail by conformation search and density functional theory calculations. Calculations supported that the large molecular volume of [THTDP][BTI] excluded itself from the cavities of ZIF-8, making the pores of ZIF-8 in the porous liquid unoccupied and accessible by other guest species, here the studied organic sulfides. These calculations indicate that the van der Waals interactions were the main interactions between ZIF-8/[THTDP][BTI] and specifically benzothiophene. This work supports that the porous liquid ZIF-8/[THTDP][BTI] could potentially be used for desulfurization of diesel in industry.

Changes of adrenocorticotropic hormone rhythm and cortisol circadian rhythm in patients with depression complicated with anxiety and their effects on the psychological state of patients.

Objective: This work was to explore the rhythm of adrenocorticotropic hormone (ACTH) and cortisol in patients with depression and anxiety and their effects on mental state. In this work, with depression complicated with anxiety patients as the A-MDD group (n = 21), and depression without anxiety symptoms as the NA-MDD group (n = 21). Firstly, data features were extracted according to the electroencephalo-graph (EEG) data of different patients, and a DR model was constructed for diagnosis. The Hamilton Depression Scale 24 (HAMD-24) was employed to evaluate the severity, and the ACTH and cortisol levels were detected and compared for patients in the A-MDD group and NA-MDD group. In addition, the psychological status of the patients was assessed using the Toronto Alexithymia Scale (TAS). As a result, the AI-based DR model showed a high recognition accuracy for depression. The HAMD-24 score in the A-MDD group (31.81 ± 5.39 points) was statistically higher than the score in the NA-MDD group (25.25 ± 5.02 points) (P < 0.05). No visible difference was found in ACTH levels of patients in different groups (P > 0.05). The incidence of cortisol rhythm disorder (CRD) in the A-MDD group was much higher (P < 0.05). The differences in TAS scores between the two groups were significantly statistically significant (P < 0.01). In conclusion, the AI-based DR Model achieves a more accurate identification of depression; depression with or without anxiety has different effects on the mental state of patients. CRD may be one of the biological markers of depression combined with anxiety.

Yaobitong capsules reshape and rebalance the gut microbiota and metabolites of arthritic rats: An integrated study of microbiome and fecal metabolomics analysis.

Yaobitong capsule (YBTC), a Chinese medicine compound preparation, has been demonstrated to affect multiple pathways associated with inflammation and exhibit potential anti-arthritis effect. In this study, an integrated omic approach based on UHPLC-Q-TOF MS and 16S rRNA sequencing analyses was proposed to reveal the anti-arthritis effect and possible mechanism of YBTC. The AIA rat model showed that YBTC significantly alleviated the typical symptoms of AIA rats such as weight, spleen index and pro-inflammatory cytokines. Fecal metabolomics results identified 41 differential metabolites, which mainly referred to tryptophan, bile acid and fatty acid metabolism. The gut microbiota played a crucially important role in anti-inflammatory immunity, 16S rRNA results indicated that YBTC changed the community structure and alleviated the microecological imbalance caused by rheumatoid arthritis (RA). Further ROC curve analysis demonstrated that it was reliable to identify RA by using 5 metabolites and 3 microorganisms (AUC > 0.83). In summary, it was the first time that the preventive effect of YBTC in RA was confirmed. The secretion of the microbiota-mediated metabolites was significantly improved by YBTC, through its callback effect on the disturbed gut microbiota. Thus, we have indicated a potential novel strategy for the prevention of RA via evaluation of intervention effects of YBTC on AIA rat model.

Systematically characterized mechanism of treatment for lumbar disc herniation based on Yaobitong capsule ingredient analysis in rat plasma and its network pharmacology strategy by UPLC-MS/MS.

ETHNOPHARMACOLOGICAL RELEVANCE: Yaobitong capsule (YBTC) was a traditional Chinese medicine (TCM) and it had clinically used to treat lumbar disc degeneration (LDH) for a long time. However, the active ingredients of YBTC absorption into the plasma and its pharmacological mechanism of treatment for LDH still remained unclear. AIM OF THE STUDY: In this study, our research committed to identify the absorbed active ingredients of YBTC in rat plasma, and it may be a potential mechanism of action on LDH by the biological targets regulating related pathways. MATERIALS AND METHODS: An ultra performance liquid chromatography tandem mass spectrometry (UPLC-MS/MS) method was established to identify the absorption components and metabolites of YBTC in rat plasma, and the network pharmacology was further investigated to illuminate its potential mechanism of treatment for LDH by the biological targets regulating related pathways. RESULTS: The network analysis found that 56 components were identified as its main active ingredients including ginsenoside Rg1, ginsenoside Rb1, senkyunolide H, and tetrahydropalmatine, etc. Combining with biological process, cellular component and molecular functions of GO, and kyotoencyclopedia of genes and genomes pathway enrichment analysis to perform network topology analysis on core targets. These active ingredients regulated 29 mainly pathways by 87 direct target genes including MAPK, Ras, PI3K-Akt, and NF-kappa B signaling pathway, etc. CONCLUSION: In this study, the absorption active ingredients of YBTC in rat plasma were firstly combined with the network pharmacology investigation to elucidate its biological mechanism of treatment for LDH in vivo. It inhibited excessive inflammatory reactions, thereby reducing the sensitivity of the nerves to reduce pain and relieve LDH, and potential medicine targets could be identified to clarify the molecular mechanism of YBTCs' regulation of LDH.

The association between polymorphism of norepinephrine transporter G1287A and major depressive disorder, antidepressant response: a meta-analysis.

OBJECTIVES: Massive research has examined the cause of major depressive disorder (MDD) and accumulating evidence has revealed that the gene for the norepinephrine transporter (NET) is involved in MDDs etiology as well as the antidepressant response. The G1287A (rs5569, GRCh38, Chromosome 16, 55697923) is located in the exon 9 region of the SLC6A2 gene. It was found to be connected with MDD and antidepressant response in people of different genetic ancestries. However, the results are still inconsistent. METHODS: A meta-analysis was conducted to evaluate the overall association of rs5569 polymorphisms with MDD and the antidepressant response. RESULTS: Sixteen articles that studied the connection between the G1287A polymorphism and MDD or antidepressant response were identified, and their outcomes revealed there was a significant connection between the polymorphisms and MDD and antidepressant response. Our study indicated that the GG genotype may be a protection factor against the development of MDD [odds ratio (OR = 0.78, 95% confidence interval (CI) = 0.64-0.96, P = 0.02 for Asian population; OR = 0.79, 95% CI = 0.63-0.98, P = 0.03 for Han Chinese population] while the GG genotype had a worse antidepressant response (OR = 0.49, 95% CI = 0.25-0.94, P = 0.03). CONCLUSIONS: NET G1287A polymorphisms are involved in the etiology of MDD and antidepressant response.

A meta-analysis of selective serotonin reuptake inhibitors (SSRIs) use during prenatal depression and risk of low birth weight and small for gestational age.

BACKGROUND: Selective Serotonin Reuptake Inhibitors (SSRIs) act as the first-line antidepressants prescribed for the treatment of prenatal depression. Evidence from previous studies has suggested that the use of SSRIs treatment for prenatal depression has adversely affected fetal growth. However, these results are inconsistent and inconclusive. METHODS: In this study, we examined whether SSRIs use during pregnancy was related to low birth weight (LBW) and small for gestational age (SGA) using a meta-analysis approach. Relevant studies were retrieved by database searching and selected according to established inclusion criteria. RESULTS: Fifteen articles involved 1,977,446 subjects were identified that tested the relationship between the SSRIs use, LBW and SGA outcomes. Statistical analyses revealed a significant association between SSRIs use and suboptimal fetal growth (RR = 1.45, 95% CI = 1.18 - 1.76, Z = 3.62, p = 0.00 for SGA; RR = 1.38, 95% CI = 1.13 - 1.69, Z = 3.14, p = 0.00 for LBW). LIMITATIONS: These results must be treated with caution as we did not take the confounding factors into account (e.g., trimester SSRIs taken, specific SSRIs prescribed and maternal lifestyle during pregnancy) to elucidate their specific roles in the relationship between SSRIs use during pregnancy and fetal growth. CONCLUSION: Our findings suggested that SSRIs use for prenatal depression is associated with suboptimal fetal growth.