Identification of novel risk factors for postoperative severe hypocalcemia in patients with primary hyperparathyroidism undergoing parathyroidectomy: a case control study.

BACKGROUND: Patients with primary hyperparathyroidism (PHPT) are at risk for severe hypocalcemia (SH) following parathyroidectomy (PTX), but limited data exist on the predictors of SH. We aimed to identify risk factors for early postoperative SH after PTX in patients with PHPT and to evaluate the predictive value of clinical parameters. METHODS: A retrospective review of patients with PHPT who underwent PTX between January 2010 and December 2022 was performed. A total of 46 patients were included in the study, with 15 (32.6%) experiencing postoperative SH, 19 (41.3%) having calculi in the ureter or kidney, and 37 (80.4%) having osteoporosis. Patients were divided into SH and non-SH groups based on postoperative serum calcium levels. Preoperative biochemical indicators, bone turnover markers, and renal function parameters were analyzed and correlated with postoperative SH. RESULTS: Statistically significant (P < 0.05) differences were found in preoperative serum calcium (serum Ca), intact parathyroid hormone, serum phosphorus (serum P), serum Ca/P, percentage decrease of serum Ca, total procollagen type 1 intact N-terminal propeptide, osteocalcin (OC), and alkaline phosphatase levels between the two groups. Multivariate analysis showed that serum P (odds ratio [OR] = 0.989; 95% confidence interval [95% CI] = 0.981-0.996; P = 0.003), serum Ca (OR = 0.007; 95% CI = 0.001-0.415; P = 0.017), serum Ca/P (OR = 0.135; 95% CI = 0.019-0.947; P = 0.044) and OC levels (OR = 1.012; 95% CI = 1.001-1.024; P = 0.036) were predictors of early postoperative SH. The receiver operating characteristic curve analysis revealed that serum P (area under the curve [AUC] = 0.859, P < 0.001), serum Ca/P (AUC = 0.735, P = 0.010) and OC (AUC = 0.729, P = 0.013) had high sensitivity and specificity. CONCLUSION: Preoperative serum P, serum Ca/P and osteocalcin levels may identify patients with PHPT at risk for early postoperative SH after PTX.

Electrochemiluminescence of Polymer Dots Featuring Thermally Activated Delayed Fluorescence for Sensitive DNA Methylation Detection.

Polymer dots (Pdots) as electrochemiluminescence (ECL) emitters have drawn intensive attention for expanding the application of ECL analytical technology. Here we used a donor-acceptor polymer with thermally activated delayed fluorescence (TADF) property as a precursor to design and synthesize a kind of highly efficient Pdots with desirable annihilation and co-reactant ECL behaviors. The TADF Pdots possessed a highly stable negative-charged state in the ECL process, and their ECL emission followed the "S-route", thus achieving theoretically 100% excitons harvesting for radiative decay. With S2O82- or tripropylamine as the co-reactant, the TADF Pdots exhibited intensive bandgap ECL emission and possessed ultrahigh ECL efficiency, which were superior to conventional fluorescent Pdots due to the TADF property and the shielding of oxygen quenching effect toward triplet excitons. By combining the stable cathodic ECL property of TADF Pdots with rolling circle amplification reaction, a sensitive ECL biosensor was designed for DNA methylation detection with RASSF1A gene fragment as a target model, which showed detection limits down to the fM level and realized the localization of the methylation site on target DNA based on steric hindrance effect. This work revealed the great potential of TADF emitters in ECL efficiency elevation and offered a new idea for the development of detection kits to quantitatively detect gene methylation.

Risk factors for twin pregnancy in women undergoing double cleavage embryo transfer.

BACKGROUND: Two or more embryo transfers have been used to increase the success rate of live birth in traditional in vitro fertilization (IVF) strategy at the expense of increased risks of multiple pregnancy and adverse perinatal outcomes. The decision regarding the elective single embryo transfer or double embryo transfer remains inconclusive. The aim of this study was to investigate the risk factors for twin pregnancy in IVF. METHODS: Participants who underwent their first fresh IVF cycle where two cleavage stage embryos were transferred in Women's Hospital of Zhejiang University between January 2010 and December 2018 were included in this retrospective cohort study. The primary outcome was twin delivery. Secondary outcomes included preterm birth and low birth weight RESULTS: Fifteen thousand four hundred fifty-nine women were available for final analysis, in which 1511 women resulted in twin delivery and 4788 women had singleton delivery. Female age over 35 was associated with reduced rates of twin pregnancy compared with female age at or less than 35 (9.5% vs 25.1%, aRR = 0.38 (0.27. 0.55)). Poor-type endometrium was associated with reduced rates of twin pregnancy (19.2% vs 27.5%, aRR = 0.75 (0.58. 0.96)). Two good-quality embryos for transfer was associated with significantly higher rates of twin pregnancy compared with one good-quality or none good-quality embryo (26% vs 12.8% vs 9.3%, aRR = 0.56 (0.45. 0.70), aRR = 0.44(0.26. 0.74)). Female age over 35 and none or one good-quality embryo for transfer were associated with reduced rate of low birth weight and preterm birth. CONCLUSION: Women with age over 35, poor-type endometrium, one good-quality embryo or none good-quality embryo were associated with reduced rate for twin pregnancy.

Influence of Label Design and Country of Origin Information in Wines on Consumers' Visual, Sensory, and Emotional Responses.

This study aimed to evaluate the influence of origin information on Pinot Noir wine labels using eye-tracking and its associations with purchase intent, and hedonic and subconscious emotional responses. Two studies were carried out on untrained university staff and students aged 20-60 years old. Study 1 was conducted to assess consumers' (n = 55; 55% males, and 45% females) self-reported and subconscious responses towards four design labels (with and without New Zealand origin name/script or origin logo) using eye-tracking and video analysis to evaluate emotions of participants. In study 2, participants (n = 72, 56% males, and 44% females) blind-tasted the same wine sample from different labels while recording their self-reported responses. In study 1, no significant differences were found in fixations between origin name/script and origin logo. However, participants paid more attention to the image and the brand name on the wine labels. In study 2, no significant effects on emotional responses were found with or without the origin name/script or logo. Nonetheless, a multiple factor analysis showed either negative or no associations between the baseline (wine with no label) and the samples showing the different labels, even though the taste of the wine samples was the same, which confirmed an influence of the label on the wine appreciation. Among results from studies 1 and 2, origin information affected the purchase intent and hedonic responses marginally. These findings can be used to design wine labels for e-commerce.

Retraction notice to "The cytoprotective effects of Δ-17 fatty acid desaturase on injured HUVECs and its underlying mechanism" [Saudi Pharm. J. 25(4) (2017) 587-594].

[This retracts the article DOI: 10.1016/j.jsps.2017.04.028.].

Dimeric guaianes from leaves of Xylopia vielana as snail inhibitors identified by high content screening.

The transcriptional repressor Snail trriggers epithelial-mesenchymal transition (EMT), the process allowing cancer cells with invasive and metastasis properties. In this study, we screened medicinal plants for the Snail inhibitory active components by high content screen (HCS) and found that the crude extract of Xylopia vielana leaves showed potential activity. Subsequently, bioassay-guided isolation of the extract of Xylopia vielana was performed to obtain twenty-four dimeric guaianes (1-24), including 16 new analogues (1-5, 8-11, 13-15, 17, 18, 21, and 22). Their structures were elucidated by the comprehensive application of multiple spectroscopic methods. Compounds 1, 11, 12, and 16 were initially identified as the active compounds. Wound healing assay, transwell migration assay and western blot experiments verified that compounds 1 and 12 inhibited the expression of Snail in a concentration-dependent manner, and compound 12 was verified as a potent tumor migration inhibitory agent. This work showed a practical strategy for the discovery of new Snail inhibitors from natural products and provided potential insights for dimeric guaianes as anticancer lead compounds specifically targeting Snail protein.

The effect of low-dose ketamine on postoperative quality of recovery in patients undergoing breast cancer surgery: A randomised, placebo-controlled trial.

BACKGROUND: Low-dose ketamine has been proved to reduce opioid consumption, prevent depressant action and improve postoperative analgesia. Women undergoing mastectomy experience may not only have persistent postoperative pain syndromes but also emotional problems. However, the effect of intraoperative infusion of low-dose ketamine on postoperative quality of recovery among these patients has not yet been fully studied. METHODS: In this prospective, randomised, single-centre trial, 100 patients planned for modified radical mastectomy were randomly assigned to one of two groups: control group (group C) or ketamine group (group K) at a ratio of 1:1. Group K received the bolus dose of 0.5 mg/kg ketamine and followed by 0.25 mg·kg-1 ·h-1 after the compliment of anaesthesia induction until the end of the surgery, whilst group C received an equivalent dose and regiment of normal saline was group K. The primary outcome was to assess the effects of low-dose ketamine on postoperative quality of recovery using the 40-Item Quality of Recovery (QoR-40) scale on a postoperative day 1 (POD1). The secondary outcome was to assess the numeric rating scale (NRS) at 4, 24 and 48 h after the operation, identity-consequence fatigue scale (ICFS) scores at 3 and 7 days after the operation, hospital anxiety and depression scale (HADS) scores at 2 days and 3 months, as well as chronic pain at 3 months. In a post hoc analysis, the 5 subsections of the QoR-40 scores were also analysed. RESULTS: A total of 100 subjects were randomised. The primary outcome of QoR-40 scores on POD1 was available in 97 patients (49 in group C and 48 in group K). Global QoR-40 scores were not significantly different between group C and group K (169.8 ± 10.7 vs. 172.7 ± 7.5, 95% CI -1.35 (-5.50, 2.80), p = .519). In a post hoc analysis, pain scores were significantly higher in group K than in group C (29.8 ± 3.8 vs. 31.7 ± 2.1, 95% CI -1.81 (-3.00, -0.62), p = .003). The secondary outcomes, including NRS, ICFS scores, HADS scores and chronic pain had no difference between groups (p value for each >.15). CONCLUSION: Intraoperative low-dose ketamine infusion did not improve the overall quality of recovery on POD 1 in patients undergoing breast cancer surgery.

Application of 2,4-bis(halomethyl)quinoline: synthesis and biological activities of 2,4-bis(benzofuran-2-yl)- and 2,4-bis(aroxymethyl)quinolines.

In the present investigation, the synthesis of a new type of halomethylquinoline building block, i.e., ethyl 4-(bromomethyl)-2-(chloromethyl)quinoline-3-carboxylate, and its synthetic applications in the reaction with salicylaldehydes or phenols to make a range of structurally novel and intriguing 2,4-bis(benzofuran-2-yl)quinoline- and 2,4-bis(aroxymethyl)quinoline-3-carboxylic acids is described. Our newly synthesized compounds belong to a new class of quinoline derivatives, and their structures were elucidated on the basis of their spectral data and elemental analyses. Screening for in vitro anti-tubercular against Mycobacterium smegmatis and anti-bacterial activities against Bacillus subtilis, Staphylococcus aureus, Escherichia coli and Pseudomonas aeruginosa was carried out. Compounds 5e and 5g showed significant anti-tubercular activity comparable with the reference rifampicin and might be used as promising candidates for further investigation.

Clinical value of MRI T2-mapping quantitative assessment of carotid plaque.

BACKGROUND: Stroke is a severe health problem, and magnetic resonance imaging (MRI) plays a significant role in stroke. PURPOSE: To investigate the clinical value of MRI T2-mapping in carotid artery plaque. MATERIAL AND METHODS: To locate the plaque in the carotid artery, 25 patients with carotid atherosclerosis were examined by 3.0-T MRI with three-dimensional (3D) time-of-flight and 3D fast spin-echo (FSE) T1-weighted scanning. The original images were obtained after T2-mapping (multi-spin-echo sequence) scanning. The T2 values of the plaque in the narrowest lumen were measured on T2 maps after postprocessing of the original images. Based on the symptoms, the patients were divided into two sub-groups; independent sample t-test was employed to compare the difference between the T2 values of the plaque in the two groups. We evaluated the optimal threshold and diagnostic efficacy of T2 values in predicting cerebrovascular symptoms by the receiver operating characteristic (ROC) curve. RESULTS: The T2 values of the carotid artery plaque in symptomatic and asymptomatic patients were 111.43 ± 46.54 ms and 59.25 ± 39.77 ms, respectively (t = -3.421, P < 0.01). ROC analysis showed that the T2 value of 65.38 ms was the optimal threshold to predict cerebrovascular symptoms. The specificity, sensitivity, and accuracy attained were 94.1% (16/17), 93.3% (14/15), and 93.8% (30/32), respectively. CONCLUSION: We quantitatively assessed carotid plaque components by MRI T2-mapping technology. The T2 values of the carotid plaque were associated with cerebrovascular symptoms. The T2 values of the symptomatic plaque group were significantly higher than those of the asymptomatic group.

In vitro metabolites characterization of ponatinib in human liver microsomes using ultra-high performance liquid chromatography combined with Q-Exactive-Orbitrap tandem mass spectrometry.

Ponatinib is an oral drug for the treatment of chronic myeloid leukemia and acute lymphoblastic leukemia, which has been reported to increase the risk of hepatotoxicity. The aim of this study was to characterize the metabolites of ponatinib in human liver microsomes as well as its reactive metabolites. Ponatinib was incubated with human liver microsomes in the presence of NADPH and trapping agents (glutathione or potassium cyanide). The metabolites were characterized by liquid chromatography in combination with Q-Exactive-Orbitrap-MS. Under the current conditions, six metabolites were detected and structurally identified on the basis of their accurate masses, fragmentation patterns, and retention times. M3 (N-demethylation) was unambiguously identified by matching its retention time and fragment ions with those of its reference standard. N-demethylation and oxygenation were proved to be the predominant metabolic pathways of ponatinib. In addition, two reactive metabolites (cyano adducts) were detected in human liver microsomes in the presence of potassium cyanide and NADPH, suggesting that ponatinib underwent CYP450-mediated metabolic activation, which could be one of the causative mechanisms for its hepatotoxicity. The current study provides new information regarding the metabolic profiles of ponatinib and would be helpful in understanding the effectiveness and toxicity of ponatinib, especially the mechanism of hepatotoxicity.

Isolation, Chiral-Phase Resolution, and Determination of the Absolute Configurations of a Complete Series of Stereoisomers of a Rearranged Acetophenone with Three Stereocenters.

A synthesis-inspired chemical investigation of the leaves of Melicope ptelefolia led to the isolation of evodialones A-D (1-4), four rearranged acetophenone stereoisomers possessing a prenylated acylcyclopentenone skeleton with three stereogenic carbons. Evodialones C and D (3 and 4) are new minor constituents. The chiral-phase HPLC resolution gave (+)-1-4 and (-)-1-4, eight enantiomers forming a complete stereoisomer library. Their absolute configurations were elucidated via extensive spectroscopic data and a modified Mosher's method. The relationship between the chiral structures and their NMR and ECD data is discussed. Compounds (±)-1, -2, and -4 have significant protective effects on high-glucose-induced oxidative stress in human vein endothelial cells.

Hyperpatulols A-I, spirocyclic acylphloroglucinol derivatives with anti-migration activities from the flowers of Hypericum patulum.

Nine new spirocyclic acylphloroglucinol derivatives, hyperpatulols A-I (1-9), were characterized from the flowers of Hypericum patulum. Their structures were elucidated by the basic analysis of the obtained spectroscopic data, and their absolute configurations were assigned by both the electronic circular dichroism (ECD) exciton chirality method and ECD calculation. The evaluation of their anti-migration effects on U2-OS human osteosarcoma cells showed that compound 4 exhibited moderate inhibitory activity in a dose-dependent manner. Further pharmacological studies revealed that 4 could regulate the expression of the proteins Vimentin and E-cadherin.

Prevalence of and Factors Influencing Anti-Tuberculosis Treatment Non-Adherence Among Patients with Pulmonary Tuberculosis: A Cross-Sectional Study in Anhui Province, Eastern China.

BACKGROUND To assess the non-adherence rate among pulmonary tuberculosis (TB) patients in Anhui Province, eastern China and to explore the influential factors, so as to identify targets for intervention. MATERIAL AND METHODS A total of 339 TB patients were recruited from TB dispensaries in 8 counties of Anhui Province, eastern China using a stratified sampling method. All study subjects were surveyed using a structured questionnaire. Differences between groups involving categorical data were analyzed using the chi-square test. RESULTS Overall, of the 339 patients, 33.63% missed medication. Divorced and widowed patients were more likely to miss medication compared with those who were married or unmarried (P<0.01). Regarding the knowledge related to topics such as transmission route, preventive measures, and suspicious symptoms, the awareness rate in the group with good medication compliance was higher than in the group with poor compliance (P<0.05). We found that compliance was not significantly associated with seeking medical treatment in professional institutions, the national free TB treatment policy, or discrimination (P>0.05). The rate of non-compliance under supervision (26.10%) was lower than that without supervision (64.18%) (P<0.001). CONCLUSIONS The anti-TB treatment non-adherence rate in TB patients is relatively high in Anhui Province, eastern China, and is associated with marital status, annual income, TB knowledge, and medical staff visits.

The cytoprotective effects of Δ-17 fatty acid desaturase on injured HUVECs and its underlying mechanism.

Endothelium toxicity has been involved in early endothelial dysfunction to show the pathogenesis of multiple cardiovascular disease that shows atherosclerosis and its complications. Saturated free fatty acids are the main inducing factors of endothelial cell apoptosis and inflammatory cytokines. In humans, stearoyl-CoA desaturase 1 (SCD-1) is a restriction step to saturation to unsaturated fatty acid desaturation, which plays a beneficial role protecting endothelial cells against lipotoxicity. Δ-17 fatty acid desaturase (FAD) is a newly identified FAD which shares 55% identity at the amino acid level with SCD-1. Whether Δ-17 FAD has similar beneficial effect remains poorly understood. Oxidized low density lipoprotein (ox-LDL) was used to induce lipotoxicity in human umbilical vein endothelial cells (HUVECs) to establish a model of oxidative injury. Then HUVECs were transfected with FAD lentivirus to introduce cytoprotective effects. The alterations in cell proliferation and apoptosis, nitric oxide content, malonyldialdehyde (MDA) content, SOD enzyme content, LDH content, GSH-PX level, vascular growth factor (VEGF) expression were evaluated. Studies showed that ox-LDL-induced excess HUVEC apoptosis can be abrogated by upregulation of Δ-17 FAD. The nitric oxide content, GSH-PX content, and SOD enzyme content were increased and the activity of MDA was suppressed by upregulation of Δ-17 FAD. In addition, upregulation of Δ-17 FAD significantly increased VEGF expression. In vitro tube formation assay showed that Δ-17 FAD promoted angiogenesis to a significant degree. These results suggest that Δ-17 fatty acid desaturase may have beneficial action in the prevention of ox-LDL-induced cellular damage.

Self-immunological disease aid diagnosis with ConvSANet and Eu-clidean distance.

BACKGROUND: Ankylosing spondylitis (AS), Osteoarthritis (OA), and Sjögren's syndrome (SS) are three prevalent autoimmune diseases. If left untreated, which can lead to severe joint damage and greatly limit mobility. Once the disease worsens, patients may face the risk of long-term disability, and in severe cases, even life-threatening consequences. RESULT: In this study, the Raman spectral data of AS, OA, and SS are analyzed to auxiliary disease diagnosis. For the first time, the Euclidean distance(ED) upscaling technique was used for the conversation from one-dimensional(1D) disease spectral data to two-dimensional(2D) spectral images. A dual-attention mechanism network was then constructed to analyze these two-dimensional spectral maps for disease diagnosis. The results demonstrate that the dual-attention mechanism network achieves a diagnostic accuracy of 100 % when analyzing 2D ED spectrograms. Furthermore, a comparison and analysis with s-transforms(ST), short-time fourier transforms(STFT), recurrence maps(RP), markov transform field(MTF), and Gramian angle fields(GAF) highlight the significant advantage of the proposed method, as it significantly shortens the conversion time while supporting disease-assisted diagnosis. Mutual information(MI) was utilized for the first time to validate the 2D Raman spectrograms generated, including ED, ST, STFT, RP, MTF, and GAF spectrograms. This allowed for evaluation of the similarity between the original 1D spectral data and the generated 2D spectrograms. SIGNIFICANT: The results indicate that utilizing ED to transform 1D spectral data into 2D images, coupled with the application of convolutional neural network(CNN) for analyzing 2D ED Raman spectrograms, holds great promise as a valuable tool in assisting disease diagnosis. The research demonstrated that the 2D spectrogram created with ED closely resembles the original 1D spectral data. This indicates that ED effectively captures key features and important information from the original data, providing a strong descript.

High-precision bladder cancer diagnosis method: 2D Raman spectrum figures based on maintenance technology combined with automatic weighted feature fusion network.

BACKGROUND: Raman spectroscopy has been extensively utilized as a marker-free detection method in the complementary diagnosis of cancer. Multivariate statistical classification analysis is frequently employed for Raman spectral data classification. Nevertheless, traditional multivariate statistical classification analysis performs poorly when analyzing large samples and multicategory spectral data. In addition, with the advancement of computer vision, convolutional neural networks (CNNs) have demonstrated extraordinarily precise analysis of two-dimensional image processing. RESULT: Combining 2D Raman spectrograms with automatic weighted feature fusion network (AWFFN) for bladder cancer detection is presented in this paper. Initially, the s-transform (ST) is implemented for the first time to convert 1D Raman data into 2D spectrograms, achieving 99.2% detection accuracy. Second, four upscaling techniques, including short time fourier transform (STFT), recurrence map (RP), markov transform field (MTF), and grammy angle field (GAF), were used to transform the 1D Raman spectral data into a variety of 2D Raman spectrograms. In addition, a particle swarm optimization (PSO) algorithm is combined with VGG19, ResNet50, and ResNet101 to construct a weighted feature fusion network, and this parallel network is employed for evaluating multiple spectrograms. Class activation mapping (CAM) is additionally employed to illustrate and evaluate the process of feature extraction via the three parallel network branches. The results demonstrate that the combination of a 2D Raman spectrogram along with a CNN for the diagnosis of bladder cancer obtains a 99.2% accuracy rate，which indicates that it is an extremely promising auxiliary technology for cancer diagnosis. SIGNIFICANCE: The proposed two-dimensional Raman spectroscopy method has an improved precision than one-dimensional spectroscopic data, which presents a potential methodology for assisted cancer detection and providing crucial technical support for assisted diagnosis.

Changes in Bone Mineral Density After Parathyroidectomy and Their Relations With Biochemical Markers of Bone Metabolism.

BACKGROUND: To measure total type 1 serum amino-terminal propeptide procollagen (t-P1NP), ß- type 1 cross-linked C-terminal telopeptide collagen (ß-CTX), N-terminal osteocalcin (OC), and 25-(OH)-VD3 levels before parathyroidectomy (PTX) in patients with PHPT, and correlate these measurements with bone mineral density (BMD) changes at 1-year post-PTX. METHODS: Patients with primary hyperparathyroidism (PHPT) were followed from diagnosis to 12 months after surgery. Serum levels of calcium, parathyroid hormone (PTH), vitamin 25-(OH)-VD3, OC, ß-CTX, t-P1NP, and BMD were measured before and 1 year after surgery. RESULTS: One year after PTX, mean BMD increased by 25.7, 27.7, and 33.5% in the lumbar spine (L1-L4), femoral neck (FN), and greater trochanter (GT), respectively. Percent BMD change 1-year post-PTX was significant correlated with preoperative levels of ß-CTX (L1-L4: r = 0.41, P < 0.0001; FN: r = 0.54, P = 0.0003; GT: r = 0.46, P = 0.0029), t-P1NP (L1-L4: r = 0.58, P < 0.0001; FN: r = 0.73, P < 0.0001; GT: r = 0.65, P < 0.0001), 25-(OH)-VD3 (L1-L4: r = -0.33, P = 0.034; FN: r = -0.48, P = 0.002; GT: r = -0.52, P = 0.0007), and OC (L1-L4: r = 0.49, P = 0.0013; FN: r = 0.55, P = 0.0002; GT: r = 0.47, P = 0.002). CONCLUSIONS: Preoperative levels of turnover markers and BMD improvements were significantly correlated in patients with PHPT 1 year after PTX.

MS-Net: a novel lightweight and precise model for plant disease identification.

The rapid development of image processing technology and the improvement of computing power in recent years have made deep learning one of the main methods for plant disease identification. Currently, many neural network models have shown better performance in plant disease identification. Typically, the performance improvement of the model needs to be achieved by increasing the depth of the network. However, this also increases the computational complexity, memory requirements, and training time, which will be detrimental to the deployment of the model on mobile devices. To address this problem, a novel lightweight convolutional neural network has been proposed for plant disease detection. Skip connections are introduced into the conventional MobileNetV3 network to enrich the input features of the deep network, and the feature fusion weight parameters in the skip connections are optimized using an improved whale optimization algorithm to achieve higher classification accuracy. In addition, the bias loss substitutes the conventional cross-entropy loss to reduce the interference caused by redundant data during the learning process. The proposed model is pre-trained on the plant classification task dataset instead of using the classical ImageNet for pre-training, which further enhances the performance and robustness of the model. The constructed network achieved high performance with fewer parameters, reaching an accuracy of 99.8% on the PlantVillage dataset. Encouragingly, it also achieved a prediction accuracy of 97.8% on an apple leaf disease dataset with a complex outdoor background. The experimental results show that compared with existing advanced plant disease diagnosis models, the proposed model has fewer parameters, higher recognition accuracy, and lower complexity.

TRPM8 as a Potential Biomarker and Therapeutic Target for Gastric Cancer Identified by a Combination of Text Mining and RNA Sequencing.

INTRODUCTION: Gastric cancer is a well-known malignant tumor that causes millions of deaths worldwide every year. Due to the lack of a specific biomarker for gastric cancer, most patients are diagnosed at an advanced stage of the disease which results in a poor prognosis and a higher death rate. Therefore, novel biomarkers are urgently needed for early diagnosis and to improve the survival rate. METHODS: In this study, we conducted RNA sequencing of tumor samples from 21 patients with gastric cancer. A total of 3192 differentially expressed genes (1589 up-regulated and 1603 down-regulated) were identified. Subsequently, we applied a text-mining algorithm for further analysis of these data and selected 30 representative genes to investigate as candidates for novel biomarkers in gastric cancer. RESULTS: Among these genes, we confirmed transient receptor potential melastatin 8 channels (TRPM8) as a novel biomarker based on Western blot and immunochemistry validation performed on 134 samples. Compared to normal gastric tissue, the tumor tissues exhibited a significantly higher expression level of TRPM8. CONCLUSION: This study provides insights into the underlying role of TRPM8 in cell proliferation. In addition, TRPM8 may be used as a potential therapeutic target for patients with gastric cancer.