[Simultaneous determination of five indole/indazole amide-based synthetic cannabinoids in electronic cigarette oil by ultra performance liquid chromatography].

Synthetic cannabinoids (SCs), which are considered some of the most widely abused new psychoactive substances available today, are much more potent than natural cannabis and display greater efficacy. New SCs can be developed by adding substituents such as halogen, alkyl, or alkoxy groups to one of the aromatic ring systems, or by changing the length of the alkyl chain. Following the emergence of the so-called first-generation SCs, further developments have led to eighth-generation indole/indazole amide-based SCs. Given that all SCs were listed as controlled substances on July 1, 2021, the technologies used to detect these substances must be quickly improved. Due to the sheer number of SCs, the chemical diversity and the fast update speed, it is challenging to determine and identify the new SCs. In recent years, several types of indole/indazole amide-based SCs have been seized, but systematic research on these compounds remains limited. Therefore, developing rapid, sensitive, and accurate quantitative methods to determine new SCs are of great importance. Compared with high performance liquid chromatography (HPLC), ultra performance liquid chromatography (UPLC) shows higher resolution, better separation efficiency, and faster analysis speeds; thus, it can meet the demand for the quantitative analysis of indole/indazole amide-based SCs in seized materials. In this study, a UPLC method was developed for the simultaneous determination of five indole/indazole amide-based SCs, including N-(1-amino-3,3-dimethyl-1-oxobutan-2-yl)-1-butyl-1H-indazole-3-carboxamide (ADB-BUTINACA), methyl 2-(1-(4-fluorobutyl)-1H-indole-3-carboxamido)-3,3-dimethylbutanoate (4F-MDMB-BUTICA), N-(1-methoxy-3,3-dimethyl-1-oxobutan-2-yl)-1-(5-fluoropentyl)-1H-indole-3-carboxamide (5F-MDMB-PICA), methyl 3,3-dimethyl-2-(1-(pent-4-en-1-yl)-1H-indazole-3-carboxamido)butanoate (MDMB-4en-PINACA), and N-(adamantan-1-yl)-1-(4-fluorobutyl)-1H-indazole-3-carboxamide (4F-ABUTINACA) in electronic cigarette oil; these SCs have been detected with increasing frequency in seized materials in recent years. The main factors influencing the separation and detection performance of the proposed method, including the mobile phase, elution gradient, column temperature, and detection wavelength, were optimized. The proposed method successfully quantified the five SCs in electronic cigarette oil via the external standard method. The samples were extracted using methanol, and the target analytes were separated on a Waters ACQUITY UPLC CSH C18 column (100 mm×2.1 mm, 1.7 µm) at column temperature of 35 ℃ and flow rate of 0.3 mL/min. The injection volume was 1 µL. The mobile phase consisted of acetonitrile and ultrapure water, and gradient elution was employed. The detection wavelengths were 290 and 302 nm. The five SCs were completely separated within 10 min under optimized conditions and showed good linear relationships between 1-100 mg/L, with correlation coefficients (r2) of up to 0.9999. The limits of detection (LOD) and quantification (LOQ) were 0.2 and 0.6 mg/L, respectively. Precision was determined using standard solutions of the five SCs at mass concentrations of 1, 10, and 100 mg/L. The intra-day precision (n=6) was <1.5%, and the inter-day precision (n=6) was <2.2%. Accuracy was determined by spiking electronic cigarette oil with low (2 mg/L), moderate (10 mg/L), and high (50 mg/L) levels of the five SCs, with six replicates per determination. The recoveries of the five SCs were 95.5%-101.9%, and their relative standard deviations (RSDs, n=6) were 0.2%-1.5%, with accuracies ranging from -4.5% to 1.9%. The proposed method showed good performance when applied to the analysis of real samples. It is accurate, rapid, sensitive, and effective for the determination of five indole/indazole amide-based SCs in electronic cigarette oil. Thus, it satisfies the requirements for practical determination and provides a reference for the determination of SCs with similar structures by UPLC.

The median effective volume of ultrasound-guided thoracic paravertebral nerve block with 0.3% ropivacaine in radical thoracoscopic surgery for lung cancer.

BACKGROUND: Ultrasound-guided needle placement has revolutionized the thoracic paravertebral block technique and can be applied in thoracoscopic surgery. OBJECTIVE: This study investigated the median effective volume (EV50) of an ultrasound-guided single shot of 0.3% ropivacaine used as a thoracic paravertebral nerve block for the radical thoracoscopic resection of lung cancer. METHODS: A total of 27 patients who received a single shot of ultrasound-guided thoracic paravertebral nerve block and underwent radical thoracoscopic resection of lung cancer were enrolled in this study between February 10 and August 13, 2018. All patients were rated as ASA grades I or II. Using ultrasound as a guide, the block needle was gradually pushed through the lateral costotransverse ligaments to the thoracic paravertebral space by the in-plane technique. After confirming the absence of blood or cerebrospinal fluid, 1-2 ml of 0.3% ropivacaine hydrochloride was injected to confirm that the position of the needle was appropriate, and a pre-determined volume of 0.3% ropivacaine hydrochloride was then administered to the patients. Sensory testing by pinprick was performed every 5 minutes for 30 minutes following the thoracic paravertebral block injection to identify the time segments during which the loss of sensation to the pinprick and its blocking effect occurred. RESULTS: All patients completed the study and 14 (51.8%) had a successful block. CONCLUSION: The EV50 of 0.3% ropivacaine was 18.46 ml (95% CI 17.09-19.95 ml) and the EV95 was 20.89 ml.

A Comparison of Puncture and Continuous Pump Analgesia With Two Different Approaches to Thoracic Paravertebral Block for Thoracic Surgery.

BACKGROUND: This study aims to compare the success rate of thoracic paravertebral block (TPVB) and the effect of postoperative analgesia between two approaches. METHODS: A total of 34 patients with American Society of Anesthesiology (ASA) physical status score II-III, undergoing an optional thoracoscopic surgery, were randomly assigned to a parasagittal approach group (group P, n = 17) and a transverse intercostal approach group (group T, n = 17). The catheterization time, success rate of the puncture and catheterization, block plane and effect at the surgical site were compared between two groups. The mean arterial pressure and heart rate were recorded, as well as the cold tactile block plane and numeric rating scale (NRS) at 0.5, 2, 4, 8, 12, 24, and 48 h after surgery. The study was registered at http://www.chictr.org.cn/showproj.aspx?proj=9624 (Registration number: ChiCTR2100054642). RESULTS: The catheterization time in group P was significantly longer than that in group T (P < 0.05). The success rate of catheterization in group P was lower than that in group T, but no statistical significance (P = 0.085). There was no significant difference in the success rate of Puncture and blocking effect of the surgical site at 30 min post-injection between two groups (P > 0.05). There was no significant difference in the cold tactile block plane and NRS scores during coughing between two groups at 0.5, 2, 4, 8, 12, 24, and 48 h postoperatively (P > 0.05). CONCLUSION: This study suggests that there is no significant difference in postoperative block level or pain score during coughing for thoracoscopic surgery between ultrasound-guided parasagittal and transverse intercostal approach, but the parasagittal approach takes longer and has a higher failure rate.

Monitoring neoadjuvant therapy responses in rectal cancer using multimodal nonlinear optical microscopy.

Most patients with rectal cancer have a better prognosis after receiving neoadjuvant therapy because of its remarkable curative effect. However, no device delivers real-time histopathologic information on treatment response to help clinicians tailor individual therapeutic strategies. We assessed the potential of multimodal nonlinear optical microscopy to monitor therapeutic responses, including tumoral and stromal responses. We found that two-photon excited fluorescence imaging can, without labeling, identify colloid response, inflammatory cell infiltration, vascular proliferation, and tumor regression. It can also directly detect rare residual tumor cells, which may be helpful for distinguishing tumor shrinkage from tumor fragmentation. In addition, second harmonic generation imaging shows the ability to monitor three types of fibrotic responses: mature, intermediate, and immature. We also determined nonlinear spectra, collagen density, and collagen orientation indexes to quantitatively analyze the histopathologic changes induced by neoadjuvant therapy in rectal cancer. Our work demonstrates that nonlinear optical microscopy has the potential to become a label-free, real-time, in vivo medical imaging technique and provides the groundwork for further exploration into the application of nonlinear optical microscopy in a clinical setting.

OGtree: a tool for creating genome trees of prokaryotes based on overlapping genes.

OGtree is a web-based tool for constructing genome trees of prokaryotic species based on a measure of combining overlapping-gene content and overlapping-gene order in their whole genomes. The overlapping genes (OGs) are defined as adjacent genes whose coding sequences overlap partially or entirely. In fact, OGs are ubiquitous in microbial genomes and more conserved between species than non-OGs. Based on these properties, it has been suggested that OGs can serve as better phylogenetic characters than non-OGs for reconstructing the evolutionary relationships among microbial genomes. OGtree takes the accession numbers of prokaryotic genomes as its input. It then downloads their complete genomes from the National Centre for Biotechnology Information and identifies OGs in each genome and their orthologous OGs in other genomes. Next, OGtree computes an overlapping-gene distance between each pair of input genomes based on a combination of their OG content and orthologous OG order. Finally, it utilizes distance-based methods of building tree to reconstruct the genome trees of input prokaryotic genomes according to their pairwise OG distance. OGtree is available online at http://bioalgorithm.life.nctu.edu.tw/OGtree/.