Medical staff's perception of factors contributing to accelerated rehabilitation in patients with cervical spinal cord injury: A qualitative research

Abstract Aim To explore the factors affecting the quality of accelerated rehabilitation for patients with cervical spinal cord injury, therefore, to propose targeted improvement strategies and provide reference for promoting the quality of nursing care for accelerated rehabilitation. Design This descriptive qualitative inquiry followed the COREQ guidelines. Methods From December 2020 to April 2021, 16 subjects including orthopaedic nurses, nursing management experts, orthopaedic surgeons, anaesthesiologists and physical therapists experienced in accelerated rehabilitation were selected by objective sampling method to conduct semi‐structured interviews. Thematic analysis was used to analyse the interview content. Results Through analysis and summary of the interview data, the following two themes and nine sub‐themes were finally extracted. Factors related to the quality of accelerated rehabilitation structure include: construction of multidisciplinary teams, thorough system guarantee and adequate staffing. Factors related to the quality of accelerated rehabilitation process include: inadequate training and assessment, lack of medical staff's awareness, incapability of the accelerated rehabilitation team members, poor multidisciplinary communication and collaboration, lack of patient's awareness, and ineffective health education. Conclusion Quality of implementation of accelerated rehabilitation can be improved by maximizing the role of multidisciplinary team, establishing a flawless accelerated rehabilitation system, increasing allocation of nursing resources, enhancing knowledge of medical staff, improving their awareness of accelerated rehabilitation, establishing personalized clinical pathways of accelerated rehabilitation, increasing communication and collaboration among multidisciplinary disciplines, and improving health education of patients

Selection of Aptamers Specific for DEHP Based on ssDNA Library Immobilized SELEX and Development of Electrochemical Impedance Spectroscopy Aptasensor

A selection of aptamers specific for di(2-ethylhexyl) phthalate (DEHP) and development of electrochemical impedance spectroscopy (EIS) aptasensor are described in this paper. The aptamers were selected from an immobilized ssDNA library using the systematic evolution of ligands by exponential enrichment (SELEX). The enrichment was monitored using real-time quantitative PCR (Q-PCR), and the aptamers were identified by high-throughput sequencing (HTS), gold nanoparticles (AuNPs) colorimetric assay, and localized surface plasmon resonance (LSPR). The EIS aptasensor was developed to detect DEHP in water samples. After eight rounds of enrichment, HTS, AuNPs colorimetric assay, and LSPR analysis indicated that four aptamers had higher binding activity, and aptamer 31 had the highest affinity (Kd = 2.26 ± 0.06 nM). The EIS aptasensor had a limit of detection (LOD) of 0.103 pg/mL with no cross-reactivity to DEHP analogs and a mean recovery of 76.07% to 141.32% for detection of DEHP in water samples. This aptamer is novel with the highest affinity and sensitivity

The ZuoJinWan formula inhibits glycolysis of cisplatin resistant gastric cancer cells via p53 acetylation

Introduction: Gastric cancer is one of the common malignancies worldwide, and drug resistance is a major factor contributing to the difficulty of treatment in gastric cancer. Zuojinwan (ZJW) has been found to exhibit a certain inhibitory effect on tumor cells. However, the molecular mechanisms of ZJW reversing drug resistance in gastric cancer are still unclear. Method: Human gastric cancer cisplatin-resistant cells SGC-7901/DDP and BGC-823/DDP were divided into control groups, DDP groups (10 μg/mL), 2-DG (5 mM) groups, and ZJW (50 μg/mL) combined with DDP (10 μg/mL) groups. After 48 h of culture, cell proliferation inhibition rate, glucose uptake rate, ATP, and lactate production were detected. Following lentiviral transfection to overexpress GLUT1 and HDAC1, western blot analysis was employed to examine the expression of HDAC1, P53, Ace-p53, and glucose metabolism-related proteins such as GLUT1, LDHA, HK II in the cells. Results: The combination of ZJW and DDP significantly inhibits the proliferation and glycolysis of cisplatin resistant gastric cancer cells. Compared with the DDP group, the combination of ZJW and DDP exhibited a higher inhibition rate (P < 0.01), accompanied by a reduction in the expression of HDAC1 and P53 proteins. Conclusions: Zuojinwan can enhance the proliferation inhibition rate of SGC-7901/DDP and BGC-823/DDP cells, attenuate glycolysis, and reduce chemotherapy resistance. Its mechanism may be associated with the inhibition of HDAC1/P53 axis activity

The role of graphene oxide in dramatically enhancing the mechanical and photoresponsive self-healing properties of poly(N, N-dimethylacrylamide) hybrid hydrogels

A fast self-healing hydrogel system with high strength and excellent response to the near infrared light (NIR) was proposed. The effect of graphene oxide (GO) on the mechanical and self-healing properties of poly(N,N-Dimethylacrylamide) (PDMA) hydrogels was studied. The results indicated that the self-healing efficiency of pure PDMA hydrogels was lower than that of PDMA-GO hydrogels. Especially, when the content of GO was more than or equal to 3 mg ml ^−1 , the self-healing efficiency can reach to approximately 100% after 2 h. It is due to that the increase in the content of GO could induce a rapid temperature rise of the hydrogel, which was benefit for improving the fast self-healing capacity. Most notably, PDMA-GO hydrogels still exhibited the excellent mechanical properties and the stable loading-unload behavior after the damage parts were healed. It can be contributed that GO forms hydrogen bonds with the three-dimensional network structure of the hydrogel matrix

Novel MiRNA and PhasiRNA Biogenesis Networks in Soybean Roots from Two Sister Lines That Are Resistant and Susceptible to SCN Race 4

<div><p>The soybean cyst nematode (SCN), <i>Heterodera glycines</i>, is the most devastating pathogen of soybean worldwide. SiRNAs (small interfere RNAs) have been proven to induce the silencing of cyst nematode genes. However, whether small RNAs from soybean root have evolved a similar mechanism against SCN is unknown. Two genetically related soybean sister lines (ZP03-5373 and ZP03-5413), which are resistant and susceptible, respectively, to SCN race 4 infection were selected for small RNA deep sequencing to identify small RNAs targeted to SCN. We identified 71 less-conserved miRNAs-miRNAs* counterparts belonging to 32 families derived from 91 loci, and 88 novel soybean-specific miRNAs with distinct expression patterns. The identified miRNAs targeted 42 genes representing a wide range of enzymatic and regulatory activities. Roots of soybean conserved one TAS (Trans-acting siRNA) gene family with a similar but unique trans-acting small interfering RNA (tasiRNA) biogenesis profile. In addition, we found that six miRNAs (gma-miR393, 1507, 1510, 1515, 171, 2118) guide targets to produce secondary phasiRNAs (phased, secondary, small interfering RNAs) in soybean root. Multiple targets of these phasiRNAs were predicted and detected. Importantly, we also found that the expression of 34 miRNAs differed significantly between the two lines. Seven ZP03-5373-specific miRNAs were differentially expressed after SCN infection. Forty-four transcripts from SCN were predicted to be potential targets of ZP03-5373-specific differential miRNAs. These findings suggest that miRNAs play an important role in the soybean response to SCN.</p></div

Length distribution of redundant and unique sRNA sequences.

<p>The length distribution of redundant and unique sRNAs in ZP03-5373 (a) and ZP03-5413 (b). The 21-nt of redundant is the predominant sRNA species and the 24-nt of unique is the most abundant.</p

Potential targets in SCN for miRNAs expressed at a high level in the ZP03-5373 line.

a<p>The target gene is the transcript identified from the SCN ESTs. (<a href="http://www.ncbi.nlm.nih.gov/Taxonomy/Browser/wwwtax.cgi?id=51029" target="_blank">http://www.ncbi.nlm.nih.gov/Taxonomy/Browser/wwwtax.cgi?id=51029</a>); b E-value was calculated according to Blast and should be less than 1.00E-5.</p><p>Potential targets in SCN for miRNAs expressed at a high level in the ZP03-5373 line.</p

Expression levels of gma-miRNAs by two methods.

<p>Profile of sequencing frequencies for gma-miRNAs (left column of A, B and C); Profile of qRT-PCR Ct values for gma-miRNAs (right column of A, B and C).</p

Identification of soybean miRNAs targets using the degradome.

a<p>Cleavage site;^bCategory 0: >1 raw read at the position, abundance at position is equal to the maximum on the transcript and there is only one maximum on the transcript. Category 1: >1 raw read at the position, abundance at position is equal to the maximum on the transcript, and there is more than one maximum position on the transcript. Category 2: >1 raw read at the position, abundance at position is less than the maximum but higher than the median for the transcript. Category 3: >1 raw read at the position, abundance at position is equal to or less than the median for the transcript. Category 4: only one raw read at the position. P-value should not exceed 0.05.</p><p>Identification of soybean miRNAs targets using the degradome.</p