Matrix-assisted laser desorption/ionization mass spectrometry for the rapid and high throughput analysis of betaine and trigonelline in Lycium chinense Mill. and trigonelline in coffee

A rapid, simple, effective, and green method for the determination of betaine and trigonelline from Lycium chinense Mill. (LCM) and the quantification of the trigonelline in coffee was proposed and validated by matrix-assisted laser desorption ionization time-of-flight mass spectrometric (MALDI-TOF MS) detection. Due to without chromatographic separation, the method greatly shortened the detection time. The detection of betaine and trigonelline concentration showed good linearity in the range of 1-100 μg/mL and 0.01-100 μg/mL, with correlation coefficients r2 = 0.9962 and 0.9946, respectively. The good reproducibility and reliability of the method were demonstrated by excellent intraday and interday precisions with RSD <8.3%, and the recovery of betaine and trigonelline ranged from 92.2% to 116.0%. Analysis of LCM and coffee extracts (raw, light-roasted, and dark-roasted coffee beans) gave results in agreement with the literature. The method appeared as a fast and reliable alternative method for routine Lycium chinense and coffee analysis.

[Therapeutic mechanism of Cynanchum wilfordii for ulcerative colitis: an analysis using UPLC-QE-MS, network pharmacology and metabolomics]

OBJECTIVE

To explore the targets and pathways of Cynanchum wilfordii for treatment of ulcerative colitis (UC).

METHODS

UPLC-QE-MS was used to identify the components of Cynanchum wilfordii ethanol extract, and their targets were screened using public databases for construction of the core protein-protein interaction (PPI) network and GO and KEGG enrichment analyses. Forty male C57 mice were randomized into normal control group, model group, mesalazine group and Cynanchum wilfordii group (n=10), and in the latter 3 groups, mouse UC models were established by treatment with 2.5% DSS and the latter 2 groups drug interventions by gavage. The therapeutic effect was evaluated by recording body weight changes and DAI score. Pathological changes of the colon tissue were observed with HE and AB-PAS staining, and JAK2 and STAT3 protein expressions were detected with Western blotting. The metabolites and metabolic pathways were identified by metabonomics analysis.

RESULTS

We identified 240 chemical components in Cynanchum wilfordii alcoholic extracts, including 19 steroids. A total of 177 Cynanchum wilfordii targets, 5406 UC genes, and 117 intersection genes were obtained. JAK2 and STAT3 were the core targets and significantly enriched in lipid and atherosclerosis pathways. Cynanchum wilfordii treatment significantly increased the body weight and decreased DAI score of UC mice (P < 0.05), alleviated intestinal pathologies, and decreased JAK2 and STAT3 protein expressions in the colon tissues. Most of the 83 intersecting differential metabolites between the control, model and Cynanchum wilfordii groups were identified as glycerophospholipids, arachidonic acid, and amino acids involving glycerophospholipid metabolism and other pathways. Correlation analysis suggested that the core targets of Cynanchum wilfordii for UC participated in regulation of the metabolites.

CONCLUSION

Cynanchum wilfordii alleviates lipid and amino acid metabolism disorders to lessen UC in mice by regulating the core targets including JAK2 and STAT3 and the levels of endogenous metabolites.

A multicenter randomized controlled trial comparing short- and medium-term outcomes of novel biologics and lightweight synthetic mesh for laparoscopic inguinal hernia repair

INTRODUCTION

The use of biological graft in laparoscopic inguinal hernia repair (LIHR) has been controversial, and there is a lack of high-level evidence to confirm the value of biological graft in LIHR. The purpose of this study is to evaluate the effectiveness of a novel composite biologics in LIHR.

METHODS

A multicenter, single-blinded, randomized controlled clinical trial was designed. Fifty patients with unilateral primary inguinal hernia were randomly assigned to the experimental and control group (1:1). The experimental group was repaired with a non-crosslinked composite extracellular matrix from porcine urinary bladder matrix and small intestinal submucosa (UBM/SIS). The control group was repaired with a lightweight, large-pore, synthetic mesh. The primary endpoint was the effectiveness rate of hernia repair.

RESULTS

The patients were followed up for four years. No significant difference was found between the experimental group and the control group in the effective rate of hernia repair (24/24[100%] vs 21/22[95.45%], RR, 0.4667; 95%CI, 0.3294-2.304; P = 0.4783). There was no fever, seroma, infection, groin pain, foreign body discomfort or recurrence in the experimental group during the follow-up. In the control group, there were 2 cases of seroma 14 days after operation, 1 case of groin discomfort 60 days after operation and one case of recurrence 410 days after surgery.

CONCLUSION

Compared with the lightweight synthetic mesh, the novel UBM/SIS graft has comparable short-term and medium-term effectiveness in LIHR, and the incidence of postoperative complications such as seroma groin discomfort is lower. Trial registration Clinical Trials Registry: ChiCTR1800020173.

Activation of PKC affects the ventricular restitution properties and arrhythmogenesis through L-type Ca+ current

OBJECTIVE

To investigate the role of protein kinase C (PKC) in action potential duration (APD) restitution and ventricular tachyarrhythmias (VAs).

METHODS AND RESULTS

Rabbits hearts were isolated and prepared for Langendorff perfusion technique. The stimuli-extra-stimulus (S1-S2) method and dynamic S1 pacing protocol were performed to construct APD restitution and to induce APD alternans or VA, respectively, at 10 sites throughout the ventricular chamber. Administration of phorbol-12-myristate-13-acetate (PMA) (100 nM) (n = 15) greatly steepened the restitution curves (Smax > 1) (p < .01) at each site compared to the control group (n = 15). Furthermore, treatment with PMA also induced larger spatial dispersions of Smax (p < .05) and decreased the thresholds of the VA and APD alternans (p < .01). However, perfused with the PKC inhibitor, bisindolylmaleimide (BIM) (500 nM) (n = 10), reversibly flattened the APD restitution curves at each site (Smax < 1), decreased the spatial dispersions of Smax, and increased the thresholds of APD alternans and VA. According to the results of patch-clamp, peak amplitude of L-type Ca2+ current was significantly increased by addition of PMA compared with control (CTL) group (p < .05). Antagonize this current with verapamil (n = 10) can fully inhibited the PMA induced increasing of Smax and inducibility of VA and alternans.

CONCLUSION

PKC activation increased the dispersion of APD restitution and thus led to occurrence of VA, which possibly related to the increased Ca2+ influx.

Establishment of a multi-strategy platform for quality control and quality markers screen of Mailuoshutong pill

Thromboangiitis obliterans (TAO) is a non-atherosclerotic segmental inflammatory occlusive disease with a high recurrence rate, high disability rate, difficulty to cure, and poor prognosis. It has been clinically proven that Mailuoshutong pill (MLSTP) is an effective traditional Chinese medicine for treating TAO. As MLSTP contains hundreds of chemical components, the quality control of which is a challenge in the development of reliable quality evaluation metrics. This study aimed to evaluate the quality uniformity of MLSTP by establishing a multi-strategy platform. In the present study, the key targets and signaling pathways of MLSTP treating TAO were predicted by network pharmacology. It was further shown by in vivo validation experiments that MLSTP exerted therapeutic effects on TAO by modulating the PI3K-AKT signaling pathway, VEGF signaling pathway, and HIF-1 signaling pathway. In addition, UPLC fingerprints of MLSTP were established and screened for potential Q-markers of MLSTP in combination with network pharmacology results. Six components, including chlorogenic acid, liquiritin, paeoniflorin, calycosin-7-glucoside, berberine, and formononetin, were selected as potential quality markers (Q-markers) in MLSTP. Finally, the quantitative analysis of multi-components by single marker (QAMS) method was established to quantitatively analyze the six potential Q-markers, and the results were consistent with those obtained by the external standard method (ESM). Taken together, the multi-strategy platform established in this study would be conducive to the Q-markers screening and quality control of MLSTP, improving the quality standard of MLSTP and providing favorable assurance for the clinical management of TAO.

[Syphilis infection and related factors among HIV-infected patients in Zhejiang Province]

Objective: To investigate syphilis infection and related factors among HIV-infected patients being followed up for more than one year in Zhejiang Province. Methods: Data were collected from the China Disease Control and Prevention Information System, and information such as demographic characteristics, viral load levels, and syphilis serologic test results was collected from HIV-infected persons who were diagnosed with HIV more than 1 year, aged ≥15 years with a current address in Zhejiang Province through December 31, 2022. The logistic regression model analyzed the prevalence of syphilis and the related factors. The SPSS 19.0 software was used for statistical analysis. Results: A total of 33 734 HIV-infected patients, with the prevalence of syphilis was 5.6% (1 879/33 734). Among the syphilis cases, the prevalence of syphilis was 6.4% (1 774/27 934) of males, 7.5% (640/8 543) of 25-34 years old age group, 7.6% (1 025/13 423) of unmarried, 8.3% (1 239/14 862) of homosexual transmission, 6.9% (214/3 080) with a non-local registered residence and 9.6% (602/6 267) with a history of STD before the HIV diagnosis. Multivariate Logistic regression analysis showed that participants who were male (aOR=2.19, 95%CI:1.77-2.72), 25-34 years old age group (aOR=1.80, 95%CI:1.47-2.20), homosexual transmission (aOR=1.67, 95%CI:1.49-1.88), with other provinces registered residence (aOR=1.26, 95%CI:1.09-1.47), and with a history of sexually transmitted disease (STD) before the HIV diagnosis (aOR=1.98, 95%CI:1.78-2.20) were associated with increased risk of syphilis. Being married (aOR=0.79, 95%CI:0.68-0.92) was associated with a decreased risk of syphilis. Conclusions: Syphilis infections were high in HIV-infected patients followed up more than one year in Zhejiang Province. It is recommended that syphilis surveillance and screening frequency should be strengthened among HIV-infected persons with characteristics such as male, homosexual transmission, and STD history.

Determination of cinnamaldehyde, thymol and eugenol in essential oils by LC-MS/MS and antibacterial activity of them against bacteria

Plant essential oils contain many secondary metabolites, some of which can effectively inhibit the growth of pathogenic microorganisms, so it is a very promising antibacterial agent. In this study, a qualitative and quantitative method based on high performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) was developed for the simultaneous determination of three bioactive substances, cinnamaldehyde (CNM), thymol (THY), and eugenol (EUG), in the essential oils of plants. Necessary tests for linearity, limit of quantification, recovery, carryover contamination and precision of the method were carried out. Then, the antibacterial activity of 3 bioactive compounds against Escherichia coli (E. coli) and Staphylococcus aureus (S. aureus) was evaluated by minimal inhibitory concentration and the synergistic antimicrobial effect. The results indicated that CNM, THY and EUG had good antibacterial activity. According to the results of fractional inhibitory concentration index (FICI), it is considered that CNM + THY and CNM + THY + EUG has obvious synergistic inhibitory effect on E. coli, and CNM + THY and CNM + EUG has obvious synergistic inhibitory effect on S. aureus. Finally, we analyzed the effect of the bioactive compounds on trace elements in bacteria and found significant changes in magnesium, calcium, copper and iron.

Biosynthesis of Nanoparticles with Green Tea for Inhibition of β-Amyloid Fibrillation Coupled with Ligands Analysis

Background

Inhibition of amyloid β protein fragment (Aβ) aggregation is considered to be one of the most effective strategies for the treatment of Alzheimer's disease. (-)-Epigallocatechin-3-gallate (EGCG) has been found to be effective in this regard; however, owing to its low bioavailability, nanodelivery is recommended for practical applications. Compared to chemical reduction methods, biosynthesis avoids possible biotoxicity and cumbersome preparation processes.

Materials and Methods

The interaction between EGCG and Aβ42 was simulated by molecular docking, and green tea-conjugated gold nanoparticles (GT-Au NPs) and EGCG-Au NPs were synthesized using EGCG-enriched green tea and EGCG solutions, respectively. Surface active molecules of the particles were identified and analyzed using various liquid chromatography-tandem triple quadrupole mass spectrometry methods. ThT fluorescence assay, circular dichroism, and TEM were used to investigate the effect of synthesized particles on the inhibition of Aβ42 aggregation.

Results

EGCG as well as apigenin, quercetin, baicalin, and glutathione were identified as capping ligands stabilized on the surface of GT-Au NPs. They more or less inhibited Aβ42 aggregation or promoted fibril disaggregation, with EGCG being the most effective, which bound to Aβ42 through hydrogen bonding, hydrophobic interactions, etc. resulting in 39.86% and 88.50% inhibition of aggregation and disaggregation effects, respectively. EGCG-Au NPs were not as effective as free EGCG, whereas multiple thiols and polyphenols in green tea accelerated and optimized heavy metal detoxification. The synthesized GT-Au NPs conferred the efficacy of diverse ligands to the particles, with inhibition of aggregation and disaggregation effects of 54.69% and 88.75%, respectively, while increasing the yield, enhancing water solubility, and decreasing cost.

Conclusion

Biosynthesis of nanoparticles using green tea is a promising simple and economical drug-carrying approach to confer multiple pharmacophore molecules to Au NPs. This could be used to design new drug candidates to treat Alzheimer's disease.

Preparation of magnetic amphiphilic resin microspheres via the one-step polymerization method and extraction of four glucocorticoids for HPLC-MS analysis

Amphiphilic materials can be used for sample preparation of chromatography or mass spectrometry. Amphiphilic materials with magnetic properties in combination with magnetic suction devices allow for automated sample preparation. However, conventional synthesis methods are cumbersome and not suitable for the mass production of the material. In this study, a micro-suspension polymerization method was developed to synthesize magnetic amphiphilic resin microspheres (MARMs), providing new ideas for the preparation of amphiphilic microspheres. MARMs with particle sizes ranging from 3 to 6 μm were successfully prepared, with BET surface area up to 653.2 m2/g. A magnetic solid-phase extraction method based on MARM-5 was developed for the extraction of four glucocorticoids including Cortisone, Hydrocortisone, Cortodoxone, and Corticosterone. This method had a very short adsorption time of 0.5 min and a total extraction time of only 13 min. The limit of detection for the four glucocorticoids ranged from 0.22 to 0.82 ng/L. There was a good linear relationship between sample concentration and peak area in the range of 25∼500 ng/L. Relative recovery of 98 %∼108 % and internal standard normalized matrix effect factors of 95∼114 % were obtained, and the relative standard deviation was between 2.3 % and 6.3 %. The MARMs would be used as excellent solid extraction material for glucocorticoids.

Identification of plant microRNAs using convolutional neural network

MicroRNAs (miRNAs) are of significance in tuning and buffering gene expression. Despite abundant analysis tools that have been developed in the last two decades, plant miRNA identification from next-generation sequencing (NGS) data remains challenging. Here, we show that we can train a convolutional neural network to accurately identify plant miRNAs from NGS data. Based on our methods, we also present a user-friendly pure Java-based software package called Small RNA-related Intelligent and Convenient Analysis Tools (SRICATs). SRICATs encompasses all the necessary steps for plant miRNA analysis. Our results indicate that SRICATs outperforms currently popular software tools on the test data from five plant species. For non-commercial users, SRICATs is freely available at https://sourceforge.net/projects/sricats.

A Ribulose-5-phosphate Shunt from the Calvin-Benson Cycle to Methylerythritol Phosphate Pathway for Enhancing Photosynthetic Terpenoid Production

Cyanobacteria are attractive hosts for photosynthetic terpenoid production, using CO2 as the sole carbon source. Although the methylerythritol phosphate (MEP) pathway is superior to the mevalonate pathway for cyanobacterial terpenoid synthesis, the first reaction of the MEP pathway, which is catalyzed by 1-deoxy-d-xylulose-5-phosphate (DXP) synthase, involves complex regulation and carbon loss. Here, we constructed a direct route linking ribulose-5-phosphate (Ru5P) in the Calvin-Benson (CB) cycle with DXP in the MEP pathway in a cyanobacterium to increase the terpenoid yield from CO2 and bypass the DXS-targeted regulations. By employing the adaptive laboratory evolution, we identified new RibB variants including RibB 90-92del with a high activity of synthesizing DXP from Ru5P. These RibB variants were introduced into Synechococcus elongatus, resulting in the significantly increased photosynthetic production of isopentenol. The 13C tracer experiments demonstrated a direct carbon flow from Ru5P in the CB cycle to the MEP pathway; thus, this direct route was denoted as the Ru5P shunt. The strain harboring the Ru5P shunt produced 105.2 mg L-1 of isopentenol with an average rate of 17.5 mg L-1 d-1 under continuous light conditions, which is higher than those ever reported for five-carbon alcohol production by photoautotrophic microorganisms. Utilization of the Ru5P shunt in cyanobacterial cells also improved the pinene production, which demonstrates that this shunt can be used to enhance the photosynthetic production of diverse terpenoids.

Rapid classification and identification of chemical compositions of Pu-zhi-hui-ling decoction by UHPLC-Q-Orbitrap HRMS

Pu-zhi-hui-ling decoction (PZHLD) is a traditional Chinese medicine (TCM) formula for the treatment of Alzheimer's disease (AD), but its chemical composition has not been reported. In this study, we aimed to establish a mass spectrometry (MS) analysis method for rapid classification and identification of the chemical constituents in PZHLD. The sample was analysed by ultrahigh-performance liquid chromatography coupled to quadrupole Orbitrap high-resolution mass spectrometry (UHPLC-Q-Orbitrap HRMS). The chemical constituents of PZHLD were identified based on accurate MS data, fragmentation characteristics of MS/MS, and reference information described in the literature. A total of 123 chemical constituents were identified. In addition, we summarised the fragmentation pathways of the chemical constituents in PZHLD. Our finding might lay the foundation for the further pharmacodynamic study and clinical application of PZHLD.

[Analysis of clinical and prognostic characteristics of newly diagnosed multiple myeloma with myelofibrosis patients]

Objective: To investigate the clinical and prognostic characteristics of newly diagnosed multiple myeloma (NDMM) patients with myelofibrosis (MF). Methods: The clinical data of 160 NDMM patients admitted to Henan Provincial People's Hospital from January 2012 to July 2022 were analyzed retrospectively. They were divided into MF group(n=74) and non-MF group(n=86) according to whether combined with MF. Patients in MF group were further splited into MF-1 group (n=47) and MF-2/3 group (n=27). All patients were treated with bortezomib and immunomodulatory-based combination therapy. The efficacy was evaluated after 4 courses, and the clinical features and prognosis between the two groups were compared. The deadline for follow-up was December 30, 2022 and the median follow-up period [M (Q1, Q3)] was 23.5 (14.4, 40.5) months. Kaplan-Meier method was used for survival analysis, and Cox regression model was used to analyze the influencing factors of survival. Results: Among 160 patients with NDMM, 91 were males and 69 were females, with a median age [M (Q1, Q3)] of 59 (54, 69) years. In MF group, the bone marrow immature plasma cell percentage, total plasma cell percentage were 9.6% (3.2%, 28.5%) and 36.4% (18.5%, 51.1%), respectively, which were higher than 6.0% (1.2%, 17.2%) and 24.0% (12.0%, 46.0%) of the non-MF group (both P<0.05). Hb level was 84.0(74.5, 100.5)g/L and PLT was (151.99±90.68) ×109/L in the MF group, which were lower than 96.0 (81.0, 112.0)g/L and (180.38±85.32) ×109/L of non-MF group (both P<0.05). But there were no significant differences in ISS stage, karyotypic and fluorescence in situ hybridization (FISH) high-risk genetic abnormalities between the two groups (all P>0.05). Objective response rate (ORR), overall survival (OS) and progression-free survival (PFS) were not significantly different between the two groups (all P>0.05). The rate of 17p- was 25.9% (7/27) in MF-2/3 group, which was higher than 8.1% (7/86) of non-MF group (P=0.049). The median OS of the MF-2/3 group was 25.0 (95%CI: 23.6-26.4) months, which was shorter than that of the non-MF group (54.0 months, P=0.031). Multivariate Cox regression analysis showed that grade MF-2/3 was not a risk factor for OS in NDMM patients (HR=1.507, 95%CI: 0.624-3.993, P=0.425). Conclusions: The ratio of bone marrow immature plasma cells and total plasma cells in NDMM patients with MF are higher than that in patients without MF, and the Hb and PLT are lower than that in patients without MF. NDMM patients with grade 2/3 MF have shorter survival than those without MF.

Quantitative Proteomics Combined with Network Pharmacology Analysis Unveils the Biological Basis of Schisandrin B in Treating Diabetic Nephropathy

BACKGROUND

Diabetic nephropathy (DN) is a major complication of diabetes. Schisandrin B (Sch) is a natural pharmaceutical monomer that was shown to prevent kidney damage caused by diabetes and restore its function. However, there is still a lack of comprehensive and systematic understanding of the mechanism of Sch treatment in DN.

OBJECTIVE

We aim to provide a systematic overview of the mechanisms of Sch in multiple pathways to treat DN in rats.

METHODS

Streptozocin was used to build a DN rat model, which was further treated with Sch. The possible mechanism of Sch protective effects against DN was predicted using network pharmacology and was verified by quantitative proteomics analysis.

RESULTS

High dose Sch treatment significantly downregulated fasting blood glucose, creatinine, blood urea nitrogen, and urinary protein levels and reduced collagen deposition in the glomeruli and tubule-interstitium of DN rats. The activities of superoxide dismutase (SOD) and plasma glutathione peroxidase (GSH-Px) in the kidney of DN rats significantly increased with Sch treatment. In addition, the levels of IL-6, IL-1β, and TNF-α were significantly reduced in DN rats treated with Sch. 11 proteins that target both Sch and DN were enriched in pathways such as MAPK signaling, PI3K-Akt signaling, renal cell carcinoma, gap junction, endocrine resistance, and TNF signaling. Furthermore, quantitative proteomics showed that Xaf1 was downregulated in the model vs. control group and upregulated in the Sch-treated vs. model group. Five proteins, Crb3, Tspan4, Wdr45, Zfp512, and Tmigd1, were found to be upregulated in the model vs. control group and downregulated in the Sch vs. model group. Three intersected proteins between the network pharmacology prediction and proteomics results, Crb3, Xaf1, and Tspan4, were identified.

CONCLUSION

Sch functions by relieving oxidative stress and the inflammatory response by regulating Crb3, Xaf1, and Tspan4 protein expression levels to treat DN disease.

A Statistical Framework for Assessing the Relationship between Biomarkers and Clinical Endpoints in Alzheimer's Disease

Changes in biomarker levels of Alzheimer's disease (AD) reflect underlying pathophysiological changes in the brain and can provide evidence of direct and downstream treatment effects linked to disease modification. Recent results from clinical trials of anti-amyloid β (Aβ) treatments have raised the question of how to best characterize the relationship between AD biomarkers and clinical endpoints. Consensus methodology for assessing such relationships is lacking, leading to inconsistent evaluation and reporting. In this review, we provide a statistical framework for reporting treatment effects on early and late accelerating AD biomarkers and assessing their relationship with clinical endpoints at the subject and group levels. Amyloid positron emission tomography (PET), plasma p-tau, and tau PET follow specific trajectories during AD and are used as exemplar cases to contrast biomarkers with early and late progression. Subject-level correlation was assessed using change from baseline in biomarkers versus change from baseline in clinical endpoints, and interpretation of the correlation is dependent on the biomarker and disease stage. Group-level correlation was assessed using the placebo-adjusted treatment effects on biomarkers versus those on clinical endpoints in each trial. This correlation leverages the fundamental advantages of randomized placebo-controlled trials and assesses the predictivity of a treatment effect on a biomarker or clinical benefit. Harmonization in the assessment of treatment effects on biomarkers and their relationship to clinical endpoints will provide a wealth of comparable data across clinical trials and may yield new insights for the treatment of AD.

Efficient Semi-Artificial Photosynthesis of Ethylene by a Self-Assembled InP-Cyanobacterial Biohybrid System

Biomanufacturing of ethylene is particularly important for modern society. Cyanobacterial cells are able to photosynthesize various valuable chemicals. A promising platform for next-generation biomanufacturing, the semiconductor-cyanobacterial hybrid systems are capable of enhancing the solar-to-chemical conversion efficiency. Herein, the native ethylene-producing capability of a filamentous cyanobacterium Nostoc sphaeroides is confirmed experimentally. The self-assembly characteristic of N. sphaeroides is exploited to facilitate its interaction with InP nanomaterial, and the resulting biohybrid system gave rise to further elevated photosynthetic ethylene production. Based on chlorophyll fluorescence measurement and metabolic analysis, the InP nanomaterial-augmented photosystem I activity and enhanced ethylene production metabolism of biohybrid cells are confirmed, the mechanism underlying the material-cell energy transduction as well as nanomaterial-modulated photosynthetic light and dark reactions are established. This work not only demonstrates the potential application of semiconductor-N. sphaeroides biohybrid system as a good platform for sustainable ethylene production but also provides an important reference for future studies to construct and optimize nano-cell biohybrid systems for efficient solar-driven valuable chemical production.

Model-Based Feedback Control for an Automated Micro Liquid Dispensing System Based on Contacting Droplet Generation through Image Sensing

Over the past few decades, micro liquid dispensing technology has been widely used in biology, chemistry, material and environmental sciences due to its efficacy in processing multiple samples. For practical applications, precise and effective droplet generation is very important. Despite numerous droplet generation methods, the implementation of droplet-on-demand still faces challenges concerning system complexity, precision, cost, and robustness. In this work, a novel on-demand contacting droplet generation method incorporated with model-based feedback control with an image processing unit as a sensor was proposed. By studying droplet identification using image processing techniques, the model of droplet formation was simplified. Then model-based feedback control was implemented using volumes of dispensed samples as sensing signals by tuning related parameters adaptively to resist disturbances. The proposed method was integrated and applied to a homebuilt automated micro liquid dispensing system with droplets ranging from 20 nanoliter to 200 nanoliter. The experimental results demonstrated a high degree of accuracy and precision. Additionally, the proposed system's practical utility was evaluated by analyzing mutations in genes associated with sensorineural hearing loss, verifying its effectiveness.

Interim Analysis of DD3: A Phase IB/II Trial of Dose-Deescalated 3-Fraction SBRT for Centrally Located Lung Cancer

PURPOSE/OBJECTIVE(S)

Prior studies suggested excessive toxicity for central lung tumors treated with 3-fraction stereotactic body radiation therapy (SBRT). This may be related to the high biologically equivalent dose assuming alpha/beta of 10 (BED) of 54 Gy in 3 fractions (BED = 151.2), as 50-60 Gy in 5 fractions (BED = 100.0-132.0) was well-tolerated in RTOG 0813. We initiated a prospective phase IB/II trial to test the hypothesis that a dose-deescalated regimen of 45 Gy in 3 fractions (BED 112.5) would be safe and efficacious in central lung tumors.

MATERIALS/METHODS

We enrolled patients with primary or secondary lung tumors ≤5cm in a central but not ultra-central tumor location defined as within 2 cm of (but not abutting) tracheobronchial tree, esophagus, or heart. Patients were either medically inoperable or refused surgical intervention. Co-primary endpoints were safety and efficacy, defined as local control (LC). Secondary endpoints included lobar control, regional control (LRC), distant control (DC), progression-free survival (PFS), cancer-specific survival (CSS), and overall survival (OS). Organ-at-risk dose constraints were consistent with those of RTOG 0236. The Bayesian predictive probability approach was utilized for continuous monitoring after 10 patients were treated and have mature assessment of toxicity, after which interim analysis was planned. We recommended terminating the trial for safety if there was sufficient evidence that the rate of grade ≥3 was greater than 0.25 (predictive probability >0.80).

RESULTS

As of the data cut-off date of 1/26/23, the trial was open for 34 months (including a nearly-immediate suspension due to the COVID-19 pandemic). A total of 17 patients have been treated on protocol with a median follow-up of 12 months. No grade ≥3 adverse events attributable to SBRT have occurred to date, though one patient died of unrelated cardiac arrhythmias 1 month after SBRT completion (Table 1). Maximum CTCAE grade 2 adverse events attributable to SBRT occurred in 17.6% of patients. The predictive probability of concluding unacceptably high toxicity rate by the end of the trial based on toxicity data in the current stage is 0.62%. To date, there have been 0 local recurrences, 1 regional recurrence without local recurrence (8 months after SBRT completion, successfully salvaged with definitive chemoradiotherapy without additional toxicities), and 1 distant recurrence without local recurrence (6 months after SBRT in a patient with lung metastasis from colon adenocarcinoma).

CONCLUSION

Interim analysis of the DD3 trial suggests that for patients with central but not ultra-central lung tumors, an SBRT regimen of 45 Gy in 3 fractions warrants continued trial accrual and follow-up given no grade ≥3 toxicities or local recurrences in the early follow-up period among the first 17 patients enrolled.

[The Biography and Achievements of Japanese Psychiatrist Syuzo Kure]

Syuzo Kure (1865-1932) was the founder of modern psychiatry in Japan and one of the pioneers of the study on the Japanese medical history. He introduced the modern hospital system and psychiatric research, actively promoted the improvement of the treatment of the mental disorders.He was the founder of the Japanese Psychiatric Neurological Association and the Journal of Neurology, and also promoted the establishment of the Charity Treatment Association for the Mentally ill.At the same time, he excavated and sorted out the historical materials of psychiatry, and founded the Japanese Medical History Society.While the medical social history is heating up in China, it is of many significance to pay attention to the study of psychiatric history and a representative figure like Syuzo Kure.

Investigation of hearing loss in elderly vertigo and dizziness patients in the past 10 years

Background

Vertigo and hearing loss are both prevalent in the elderly. This study retrospectively analyzed hearing test results from elderly patients experiencing vertigo and dizziness at ENT outpatient over a 10-year period, in order to study the patterns of hearing loss in this patient population.

Methods

Nine thousand three hundred eighty four patients over 50 years old underwent retrospective collection and screening of outpatient diagnosis, pure tone audiometry, acoustic immittance measurement (tympanogram) and auditory brainstem response (ABR) test. The patient's audiograms are divided into 7 subtypes according to a set of fixed criteria. Meanwhile, K-Means clustering analysis method was used to classify the audiogram.

Results

The Jerger classification of tympanogram in elderly patients with vertigo and dizziness showed the majority falling under type A. The leading audiogram shapes were flat (27.81% in right ear and 26.89% in left ear), high-frequency gently sloping (25.97% in right ear and 27.34% in left ear), and high-frequency steeply sloping (21.60% in right ear and 22.53% in left ear). Meniere's disease (MD; 30.87%), benign recurrent vertigo (BRV; 19.07%), and benign paroxysmal positional vertigo (BPPV; 15.66%) were the most common etiologies in elderly vestibular diseases. We observed statistically significant differences in hearing thresholds among these vestibular diseases (P < 0.001). K-Means clustering analysis suggested that the optimal number of clusters was three, with sample sizes for the three clusters being 2,747, 2,413, and 4,139, respectively. The ANOVA statistical results of each characteristic value showed P < 0.001.

Conclusion

The elderly patients often have mild to moderate hearing loss as a concomitant symptom with vertigo. Female patients have better hearing thresholds than males. The dominant audiometric shapes in this patient population were flat, high-frequency gently sloping, and high-frequency steeply sloping according to a set of fixed criteria. This study highlights the need for tailored strategies in managing hearing loss in elderly patients with vertigo and dizziness.

Multi-Parameter Auto-Tuning Algorithm for Mass Spectrometer Based on Improved Particle Swarm Optimization

Quadrupole mass spectrometers (QMS) are widely used for clinical diagnosis and chemical analysis. To obtain the best experimental results, mass spectrometers must be calibrated to an ideal setting before use. However, tuning the current QMS is challenging. Traditional tuning techniques possess low automation levels and rely primarily on skilled engineers. Therefore, in this study, we propose an innovative auto-tuning algorithm for QMS based on the improved particle swarm optimization (PSO) algorithm to automatically find the optimal solution of QMS parameters and make the QMS reach the optimal state. The improved PSO algorithm is combined with simulated annealing, multiple inertia weights, dynamic boundaries, and other methods to prevent the traditional PSO algorithm from the issue of a local optimal solution and premature convergence. According to the characteristics of the mass spectrum peaks, a termination function is proposed to simplify the termination conditions of the PSO algorithm and further improve the automation level of the mass spectrometer. The results of auto-calibration testing of resolution and mass axis show that both resolution and mass axis calibration could effectively meet the requirements of mass spectrometry experiments. By the experiment of auto-optimization testing of lens and ion source parameters, these parameters were all in the vicinity of the optimal solution, which achieved the expected performance. Through numerous experiments, the reproducibility of the algorithm was established as meeting the auto-tuning function of the QMS. The proposed method can automatically tune the mass spectrometer from its non-optimal condition to the optimal one, which can effectively reduce the tuning difficulty of QMS.

Rapid screening of active ingredients and action mechanisms of Ecliptae Herba for treating Alzheimer's disease by UPLC-Q-TOF/MS and "component-target-pathway" network

Alzheimer's disease (AD) is a common neurodegenerative disease. The drugs widely used in clinic are mainly single-target drugs for symptomatic treatment, which can only alleviate symptoms to a certain extent. Ecliptae Herba (EH) is considered a potential therapeutic drug for AD due to its neuroprotective effects. Although EH has a clear anti-AD effect, the material basis and mechanism remain unclear. Therefore, we adopted an efficient analytical technique, namely ultra-high-performance liquid chromatography quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF/MS), combined with "component-target-pathway" network to explore the active components and potential mechanisms of EH in treating AD. Due to the high sensitivity of UPLC-Q-TOF/MS, a total of 50 components were identified in EH. Among them, 20 and 12 compounds were found in plasma and brain samples, respectively. The network pharmacology analysis revealed that apigenin, luteolin, ecliptasaponin A, chlorogenic acid, wedelolactone, and quercetin were the active components, which could affect the serotonergic synapse, calcium and cAMP signaling pathways by regulating related targets such as EGFR, PRKCA, BRAF and ERBB2. This study clarified that EH can exert anti-AD effect through multi-component, multi-target and multi-pathway characteristics. Furthermore, it offers a good foundation for further in-depth research on the anti-AD effects of EH, and provides a valuable approach for the rapid screening of active components and potential mechanisms of other medicinal plants, potentially bringing changes to the discovery and development of novel therapeutics for neurodegenerative disorders.

Integrated brain and plasma dual-channel metabolomics to explore the treatment effects of Alpinia oxyphyllaFructus on Alzheimer's disease

Alpinia oxyphylla Fructus, called Yizhi in Chinese, is the dried fruit of Alpinia oxyphylla Miquel. It has been used in traditional Chinese medicine to treat dementia and memory defects of Alzheimer's disease for many years. However, the underlying mechanism is still unclear. In this study, we used a rat Alzheimer's disease model on intrahippocampal injection of aggregated Aβ1-42 to study the effects of Alpinia oxyphylla Fructus. A brain and plasma dual-channel metabolomics approach combined with multivariate statistical analysis was further performed to determine the effects of Alpinia oxyphylla Fructus on Alzheimer's disease animals. As a result, in the Morris water maze test, Alpinia oxyphylla Fructus had a clear ability to ameliorate the impaired learning and memory of Alzheimer's disease rats. 11 differential biomarkers were detected in AD rats' brains. The compounds mainly included amino acids and phospholipids; after Alpinia oxyphylla Fructus administration, 9 regulated biomarkers were detected compared with the AD model group. In the plasma of AD rats, 29 differential biomarkers, primarily amino acids, phospholipids and fatty acids, were identified; After administration, 23 regulated biomarkers were detected. The metabolic pathways of regulated metabolites suggest that Alpinia oxyphylla Fructus ameliorates memory and learning deficits in AD rats principally by regulating amino acid metabolism, lipids metabolism, and energy metabolism. In conclusion, our results confirm and enhance our current understanding of the therapeutic effects of Alpinia oxyphylla Fructus on Alzheimer's disease. Meanwhile, our work provides new insight into the potential intervention mechanism of Alpinia oxyphylla Fructus for Alzheimer's disease treatment.

Machine learning-assisted flexible wearable device for tyrosine detection

Early diagnosis of pathological markers can significantly shorten the rate of viral transmission, reduce the probability of infection, and improve the cure rate of diseases. Therefore, analytical techniques for identifying pathological markers and environmental toxicants have received considerable attention from researchers worldwide. However, the most popular techniques used in clinical settings involve expensive precision instruments and complex detection processes. Thus, a simpler, more efficient, rapid, and intelligent means of analysis must be urgently developed. Electrochemical biosensors have the advantages of simple processing, low cost, low sample preparation requirements, rapid analysis, easy miniaturization, and integration. Thus, they have become popular in extensive research. Machine learning is widely used in material-assisted synthesis, sensor design, and other fields owing to its powerful data analysis and simulation learning capabilities. In this study, a machine learning-assisted carbon black-graphene oxide conjugate polymer (CB-GO/CP) electrode, in conjunction with a flexible wearable device, is proposed for the smart portable detection of tyrosine (Tyr). Input feature value data are obtained for the artificial neural network (ANN) and support vector machines (SVM) model learning via multiple data collections in artificial urine and by recording the pH and temperature values. The results reveal that a machine-learning model that integrates multiple external factors is more accurate for the prediction of Tyr concentration.