Study on the predictive value of pretreatment peripheral blood inflammatory markers regarding immunotherapy in patients with inoperable advanced or locally advanced oesophageal squamous cell carcinoma.

OBJECTIVE: To explore the effects of pretreatment peripheral blood panimmune-inflammation value (PIV), systemic immune-inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR) on the efficacy and prognostic value of immunotherapy in patients with inoperable advanced or locally advanced oesophageal squamous cell carcinoma (ESCC). METHODS: Clinical data of 107 inoperable advanced or locally advanced ESCC patients were retrospectively analysed between May 2019 and August 2023, the receiver operating characteristic curves (ROCs) of PIV, SII, NLR, and PLR in patients prior to immunotherapy were plotted, and their optimal cutoff values were determined. The risk factors were determined by univariate and multivariate analyses in groups based on the optimal cut-off values. RESULTS: Peripheral blood PIV, SII and PLR before immunotherapy had predictive value for the optimal efficacy of immunotherapy in patients with inoperable advanced or locally advanced ESCC; patients with PIV ≥415.885, SII ≥834.295 and NLR ≥3.740 had a low objective response rate (ORR), disease control rate (DCR), a short progression-free survival (PFS) and overall survival (OS) after immunotherapy (p < 0.05). Patient tumour stage, distant lymph node metastasis, lung metastasis, liver metastasis, PIV, SII, and NLR were risk factors affecting PFS and OS (p < 0.05). Tumour stage and SII were independent risk factors affecting PFS and OS (p < 0.05). CONCLUSION: In patients with inoperable advanced or locally advanced ESCC, peripheral blood PIV, SII, and NLR have predictive value for immunotherapy outcome, SII is an independent risk factor affecting the survival prognosis, and SII ≥834.295 suggests a poor prognosis from immunotherapy.

Prognostic value of peripheral blood neutrophil/lymphocyte ratio, platelet/lymphocyte ratio, pan-immune-inflammation value and systemic immune-inflammation index for the efficacy of immunotherapy in patients with advanced gastric cancer.

Aim: The study aimed to assess the value of pretreatment peripheral blood neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), pan-immune-inflammation value (PIV) and systemic immune-inflammation index (SII) for predicting immunotherapy prognosis and efficacy in advanced gastric cancer (GC). Methods: A total of 84 advanced GC patients received immunotherapy were retrospectively collected. The optimal cut-off values were determined by receiver operating characteristic curves. The univariate and multivariate analysis investigated the effects of NLR, PLR, PIV and SII on patients prognosis. Results: NLR, PLR, PIV and SII had predictive value of efficacy. NLR ≥3.65 was an independent risk factor for worse outcomes. Conclusion: NLR, PLR, PIV and SII have predictive value of efficacy and NLR ≥3.65 suggests a poor prognosis following immunotherapy in advanced GC.

Immunotherapy can make gastric cancer patients live longer. However, not all patients live longer. We need simple, inexpensive and effective indicators to find patients who can live longer with immunotherapy. Routine blood test is common in our daily lives. Previous studies reported that some indicators in routine blood test can predict the prognosis and efficacy of surgery in gastric cancer patients. But it is not clear in immunotherapy for advanced gastric cancer patients. In our trial, we found that some indicators in routine blood test can help predict the effect of immunotherapy in patients with advanced gastric cancer and screen which patients will live longer with immunotherapy.

Combining spectral and texture feature of UAV image with plant height to improve LAI estimation of winter wheat at jointing stage.

Introduction: Leaf area index (LAI) is a critical physiological and biochemical parameter that profoundly affects vegetation growth. Accurately estimating the LAI for winter wheat during jointing stage is particularly important for monitoring wheat growth status and optimizing variable fertilization decisions. Recently, unmanned aerial vehicle (UAV) data and machine/depth learning methods are widely used in crop growth parameter estimation. In traditional methods, vegetation indices (VI) and texture are usually to estimate LAI. Plant Height (PH) unlike them, contains information about the vertical structure of plants, which should be consider. Methods: Taking Xixingdian Township, Cangzhou City, Hebei Province, China as the research area in this paper, and four machine learning algorithms, namely, support vector machine(SVM), back propagation neural network (BPNN), random forest (RF), extreme gradient boosting (XGBoost), and two deep learning algorithms, namely, convolutional neural network (CNN) and long short-term memory neural network (LSTM), were applied to estimate LAI of winter wheat at jointing stage by integrating the spectral and texture features as well as the plant height information from UAV multispectral images. Initially, Digital Surface Model (DSM) and Digital Orthophoto Map (DOM) were generated. Subsequently, the PH, VI and texture features were extracted, and the texture indices (TI) was further constructed. The measured LAI on the ground were collected for the same period and calculated its Pearson correlation coefficient with PH, VI and TI to pick the feature variables with high correlation. The VI, TI, PH and fusion were considered as the independent features, and the sample set partitioning based on joint x-y distance (SPXY) method was used to divide the calibration set and validation set of samples. Results: The ability of different inputs and algorithms to estimate winter wheat LAI were evaluated. The results showed that (1) The addition of PH as a feature variable significantly improved the accuracy of the LAI estimation, indicating that wheat plant height played a vital role as a supplementary parameter for LAI inversion modeling based on traditional indices; (2) The combination of texture features, including normalized difference texture indices (NDTI), difference texture indices (DTI), and ratio texture indices (RTI), substantially improved the correlation between texture features and LAI; Furthermore, multi-feature combinations of VI, TI, and PH exhibited superior capability in estimating LAI for winter wheat; (3) Six regression algorithms have achieved high accuracy in estimating LAI, among which the XGBoost algorithm estimated winter wheat LAI with the highest overall accuracy and best results, achieving the highest R2 (R2 = 0.88), the lowest RMSE (RMSE=0.69), and an RPD greater than 2 (RPD=2.54). Discussion: This study provided compelling evidence that utilizing XGBoost and integrating spectral, texture, and plant height information extracted from UAV data can accurately monitor LAI during the jointing stage of winter wheat. The research results will provide a new perspective for accurate monitoring of crop parameters through remote sensing.

Sheng-Di-Da-Huang Decoction Inhibited Inflammation Expressed in Microglia after Intracerebral Hemorrhage in Rats.

OBJECTS: Sheng-Di-Da-Huang Decoction was used as an effective hemostatic agent in ancient China. However, its therapeutic mechanism is still not clear. Inflammatory injury plays a critical role in ICH-induced secondary brain injury. After hemolysis, hematoma components are released, inducing microglial activation via TLR4, which initiates the activation of transcription factors (such as NF-κB) to regulate expression of proinflammatory cytokine genes. This study aimed to verify the anti-inflammatory effects of Sheng-Di-Da-Huang Decoction on ICH rats. MATERIALS AND METHODS: Intracerebral hemorrhage was induced by injection of bacterial collagenase (0.2 U) in rats. Neurological deficits, brain water content, Evans blue extravasation, expression of TLR4, NF-κB, Iba-1 positive cells (activated microglia), tumor necrosis factor-α (TNF-α), and interleukin-1ß (IL-1ß) were examined 1, 3, 7, and 14 days after collagenase injection. MR images were also studied. RESULTS: Sheng-Di-Da-Huang Decoction remarkably improved neurological function, reduced brain water content as well as Evans blue extravasation, downregulated expression of TLR4, NF-κB, TNF-α, and IL-1ß, and inhibited microglial activation. CONCLUSIONS: Sheng-Di-Da-Huang Decoction reduced inflammation reaction after ICH through inhibited inflammation expressed in microglia.

Expressions of apoptosis-related proteins in rats with focal cerebral ischemia after Angong Niuhuang sticker point application.

In this study, we extracted and purified components in the Angong Niuhuang pill. Then we applied transdermal enhancers to Angong Niuhuang stickers by modern technology. The Angong Niuhuang sticker includes extracts from curcuma, berberine hydrochloride, baicalin, geniposide, borneol, and musk. Angong Niuhuang stickers at different point application doses (1.35, 2.7, and 5.4 g/kg) were administered to Dazhui (DU14), Qihai (RN6) and Mingmen (DU4). Rats in the different dose point application and acupuncture groups were continuously administered for 7 days. Then a middle cerebral artery occlusion model was prepared for simulating human cerebral ischemia. Twelve hours later, expressions of Bcl-2, Bax and p53 protein in hippocampal CA1 were detected with immunohistochemistry. The expression level of Bcl-2, an anti-apoptotic protein, significantly increased in the high-, medium- and low-dose point application groups and the acupuncture group, while the expression of the pro-apoptotic proteins, Bax and p53, significantly decreased compared with the middle cerebral artery occlusion rats; and the Bcl-2/Bax ratio was significantly increased. The difference was noticeable for the high-dose point application group, which showed statistical difference compared with the low-dose point application group and the acupuncture group. Our experimental findings indicate that point application with Angong Niuhuang stickers promotes the expression of Bcl-2, and inhibits the expressions of Bax and p53 in the hippocampal CA1 area of rats after focal cerebral ischemia. Thus, point application of Angong Niuhang stickers protects brain tissues from cerebral ischemia.