Combination Index Research Articles

Study on antihepatocellular carcinoma effect of 6-shogaol and curcumin through network-based pharmacological and cellular assay.

Hepatocellular carcinoma currently has the third highest mortality rate in the world. Patients with hepatocellular carcinoma are on the rise and at a younger age, but research into the pharmacological effects of cancer is mostly single-component, and natural plant products can have additive or synergistic effects that can better amplify the effects of intervention in cancer. To evaluate the synergistic therapeutic effects of 6-shogaol and curcumin against hepatocellular carcinoma line HepG2 cells. In this study, a network pharmacology approach was used to predict and validate the mol ecular targets and pathways of the hepatocellular carcinoma (HCC) of 6-shogaol and curcumin in combination and to investigate their mechanism of action. The results were also validated by cellular assays. HepG2 cells were treated with 6-shogaol and curcumin as well as the combination of the two. The combination index of 6-shogaol and curcumin in HepG2 cells was calculated using Compusyn software according to the Chou-Talalay equation. The synergistic anti-cancer effect was next investigated by MTT assay, apoptosis assay and cell cycle assay. The combined anti-hepatocellular carcinoma effect of the Ras-mediated PI3K/AKT and MAPK signalling pathways was analysed using protein blotting assays. A network pharmacology-based screening identified 72 core targets of 6-curcumin and curcumin in hepatocellular carcinoma, and predicted that the main signalling pathway is the Ras signalling pathway. The anti-cancer effects of 6-shogaol and curcumin were validated in cell-based assays and the optimal synergistic concentrations of 5μmoL/L for 6-shogaol and 30μmoL/L for curcumin were determined. 6-shogaol and curcumin synergistically blocked the cell cycle in the G2/M phase and promoted apoptosis. Immunoblot analysis confirmed for the first time the combined action of both in down-regulating the Ras-mediated PI3K/AKT and MAPK signaling pathways. In addition, 6-shogaol and curcumin acting together downregulated Cyclin-B, CDK-1, Bcl-2, and upregulated BAX. 6-shogaol and curcumin act synergistically to alter the morphology of hepatocellular carcinoma cells, block the cell cycle in the G2/M phase, inhibit proliferation and division, and effectively promote late apoptosis. The combined action of these two components provides a theoretical basis for the further development of novel anti-liver cancer products.

From Phantoms to Patients: Improved Fusion and Voxel-Wise Analysis of Diffusion-Weighted Imaging and FDG-Positron Emission Tomography in Positron Emission Tomography/Magnetic Resonance Imaging for Combined Metabolic-Diffusivity Index (cDMI).

Hybrid positron emission tomography/magnetic resonance imaging (PET/MR) opens new possibilities in multimodal multiparametric (m2p) image analyses. But even the simultaneous acquisition of positron emission tomography (PET) and magnetic resonance imaging (MRI) does not guarantee perfect voxel-by-voxel co-registration due to organs and distortions, especially in diffusion-weighted imaging (DWI), which would be, however, crucial to derive biologically meaningful information. Thus, our aim was to optimize fusion and voxel-wise analyses of DWI and standardized uptake values (SUVs) using a novel software for m2p analyses. Using research software, we evaluated the precision of image co-registration and voxel-wise analyses including the rigid and elastic 3D registration of DWI and [18F]-Fluorodeoxyglucose (FDG)-PET from an integrated PET/MR system. We analyzed DWI distortions with a volume-preserving constraint in three different 3D-printed phantom models. A total of 12 PET/MR-DWI clinical datasets (bronchial carcinoma patients) were referenced to the T1 weighted-DIXON sequence. Back mapping of scatterplots and voxel-wise registration was performed and compared to the non-optimized datasets. Fusion was rated using a 5-point Likert scale. Using the 3D-elastic co-registration algorithm, geometric shapes were restored in phantom measurements; the measured ADC values did not change significantly (F = 1.12, p = 0.34). Reader assessment showed a significant improvement in fusion precision for DWI and morphological landmarks in the 3D-registered datasets (4.3 ± 0.2 vs. 4.6 ± 0.2, p = 0.009). Most pronounced differences were noted for the chest wall (p = 0.006), tumor (p = 0.007), and skin contour (p = 0.014). Co-registration increased the number of plausible ADC and SUV combinations by 25%. The volume-preserving elastic 3D registration of DWI significantly improved the precision of fusion with anatomical sequences in phantom and clinical datasets. The research software allowed for a voxel-wise analysis and visualization of [18F]FDG-PET/MR data as a "combined diffusivity-metabolic index" (cDMI). The clinical value of the optimized PET/MR biomarker can thus be tested in future PET/MR studies.

Combined systemic inflammatory immune index and prognostic nutrition index as chemosensitivity and prognostic markers for locally advanced gastric cancer receiving neoadjuvant chemotherapy: a retrospective study

BackgroundThe prognosis nutritional index (PNI) and the systemic inflammatory immunological index (SII) are characteristic indicators of the nutritional state and the systemic inflammatory response, respectively. However, there is an unknown combined effect of these indicators in the clinic. Therefore, the practicality of using the SII-PNI score to predict prognosis and tumor response of locally advanced gastric cancer (LAGC) following chemotherapy was the main focus of this investigation.MethodsWe retrospectively analyzed 181 patients with LAGC who underwent curative resection after neoadjuvant chemotherapy in a prospective study (NCT01516944). We divided these patients into tumour regression grade(TRG) 3 and non-TRG3 groups based on tumor response (AJCC/CAP guidelines). The SII and PNI were assessed and confirmed the cut-off values before treatment. The SII-PNI values varied from 0 to 2, with 2 being the high SII (≥ 471.5) as well as low PNI (≤ 48.6), a high SII or low PNI is represented by a 1 and neither is represented by a 0, respectively.Results51 and 130 samples had TRG3 and non-TRG3 tumor responses respectively. Patients with TRG3 had substantially higher SII-PNI scores than those without TRG3 (p < 0.0001). Patients with greater SII-PNI scores had a poorer prognosis (p < 0.0001). The SII-PNI score was found to be an independent predictor of both overall survival (HR = 4.982, 95%CI: 1.890-10.234, p = 0.001) and disease-free survival (HR = 4.763, 95%CI: 1.994–13.903, p = 0.001) in a multivariate analysis.ConclusionThe clinical potential and accuracy of low-cost stratification based on SII-PNI score in forecasting tumor response and prognosis in LAGC is satisfactory.

Fabrication of ibuprofen/naringenin-coloaded into zein/sodium caseinate nanoparticles: evaluation of antiproliferative activity and apoptosis induction in liver cancer cells

Nowadays, liver cancer is one of the most disturbing types of cancer that can affect either sex. Nanoparticles (NPs) of zein/sodium caseinate incorporating ibuprofen (IBU) and naringenin (NAR) have improved bioavailability and a high encapsulation efficiency (EE%). These nanoparticles are uniformly spherical. In vitro, cytotoxicity analysis on HepG2 cell lines, which are used to study human liver cancer, shows that encapsulated drugs (86.49% ± 1.90, and 78.52% ± 1.98 for NAR and IBU, respectively) have significantly lower IC50 values than individual drugs or their combined free form. In addition, the combination indices of 0.623 and 0.155 for IBU and NAR, respectively, show that the two have joint beneficial effects. The scratch wound healing assay results also show that the free drugs and the engineered NPs have a more significant anti-migratory effect than the untreated cells. The designed nanoparticles also reduce angiogenesis and proliferation while inducing apoptosis, according to in vitro results. In conclusion, a new approach to treating liver cancer may lie in the nanoencapsulation of numerous drugs within nanoparticles.

Application of recycled lignin powder as a sustainable additive for soil improvement against water resistance

To evaluate the engineering performance against water resistance of lignin-modified soil, unconfined compressive strength (UCS) tests and direct shear tests were conducted on silty sand modified with varying lignin contents (2%, 5%, 8%, 12%, and 15%) following wet-dry cycles. The results demonstrate that 8% lignin-modified soil has the highest UCS and shear strength. The addition of lignin to soil enhances its wet-dry durability, with soil modified by 8% lignin exhibiting the highest durability. The structural properties of lignin-modified soil subjected to wet-dry cycles can be quantified using a combined structural stability index and structural variability index. A model relevant to the structural properties was proposed to predict the shear strength of lignin-modified soil following wet-dry cycles. Notably, the addition of lignin to silty sand does not result in the formation of new minerals, indicating that lignin addition is an environmentally-friendly soil treatment.

Antidepressant Sertraline Synergistically Enhances Paclitaxel Efficacy by Inducing Autophagy in Colorectal Cancer Cells.

Colorectal cancer (CRC) is the second leading cause of cancer-related death worldwide. It is important to discover new therapeutic regimens for treating CRC. Depression is known to be an important complication of cancer diseases. Repurposing antidepressants into anticancer drugs and exploring the combinational efficacy of antidepressants and chemotherapy are potentially good options for developing CRC treatment regimens. In this study, sertraline, an antidepressant drug, and paclitaxel, an anticancer drug, were chosen to study their antitumor effects in the treatment of colorectal cancer, alone or in combination, and to explore their underlying mechanisms. The data showed that sertraline exerted a dose-dependent cytotoxic effect on MC38 and CT26 colorectal cancer cell lines with IC50 values of 10.53 μM and 7.47 μM, respectively. Furthermore, sertraline synergistically sensitized chemotherapeutic agent paclitaxel efficacy in CRC cells with combination index (CI) values at various concentrations consistently lower than 1. Sertraline remarkably augmented paclitaxel-induced autophagy by increasing autophagosome formation indicated by elevated LC3-II/I ratio and promoting autophagic flux by degrading autophagy cargo receptor SQSTM1/p62, which may explain the synergistically cytotoxic effect of sertraline and paclitaxel combination therapy on CRC cells. This study provides important evidence to support repurposing sertraline as an anticancer agent and suggests a novel combinational regimen for effectively treating CRC as well as in the simultaneous treatment of CRC and depression.

Antagonistic interaction of HSP90 inhibitor XL-888 and 5-FU combination treatment in breast cancer cells

Breast cancer is a serious global health problem, and investigation of innovative therapeutic approaches in its treatment is important to increase survival. Combination therapy targets more than one mechanism simultaneously and has recently emerged as an effective treatment strategy by using different therapeutic agents together. The purpose of this study was to determine the combined effects of the conventional chemotherapeutic agent 5-Fluorouracil (5-FU) and the HSP90 inhibitor XL-888 on breast cancer cell lines. MDA-MB-231 and MCF-7 cells were subjected to varying concentrations of XL-888 and 5-FU as individual treatments and in combination. The MTT test was employed to determine cell viability, and the Chou-Talalay technique was utilized to compute combination indices. Contrary to expectations, the HSP90 inhibitor XL-888 and 5-FU coadministration showed antagonistic effects in MDA-MB-231 and MCF-7 breast cancer cells. The results highlight the importance of careful consideration when combining these agents in breast cancer treatment regimens because their co-administration may not produce the expected synergistic results. The implications of the present research are anticipated to contribute to the developing of enhanced and focused treatment modalities for various cancers, with a particular emphasis on breast cancer.

The environmental repercussions of financial development and green energy in BRICS economies: From the perspective of new composite indices

This study is significant because it fills the gap in future literature by looking at the panel of 5 Brazil, Russia, India, China, and South Africa (BRICS) economies regarding the important role of financial development (FD) in environmental deterioration under the holistic measures of FD and environmental quality, something that has been largely overlooked in preceding studies. Consequently, this study explores the environmental effects of FD, employing a composite environmental quality proxy (CEQP) and a composite FD proxy (CFDP). In pursuit of this objective, the continuously updated fully modified (Cup-FM) and continuously updated bias corrected (Cup-BC) procedures are applied. These procedures enabled us to comprehensively explore the dynamic interactions between the combined index for FD and CEQP controlling agricultural activities, economic growth, renewable energy consumption, and nonrenewable energy consumption (NREC) in the panel of 5-BRICS economies from 2005 to 2019. The empirical results show that CFDP appeases environmental deterioration and thus improves environmental quality. The agricultural activities intensify environmental deterioration. The analysis also reveals a U-shaped relationship between the CEQP and economic growth (inverted U-type environmental Kuznets curve hypothesis) for the BRICS nations. Additionally, renewable energy improves environmental quality, whereas NREC decreases it. As supported by the results of the study, BRICS policymakers should encourage the financial sector to support green energy initiatives and achieve environmental stability.

Data Processing for Predicting DNA Damaging Properties of Complex UV Sources.

A growing number of experimental evidence emphasizes that photobiological phenomena are not always the sum of the effect of individual wavelengths present in the emission spectrum of light sources. Unfortunately, tools are missing to identify such non-additive effects and predict effects of various exposure conditions. In the present work, we addressed these points for the formation of pyrimidine dimers in DNA upon co-exposure to UVC, UVB and UVA radiation. We first applied a combination index approach to determine whether mixtures of theses UV ranges exhibited additive, inhibitory or synergistic effects on the formation of cyclobutane pyrimidine dimers, (6-4) photoproducts and Dewar valence isomers. A predictive approach based on an experimental design strategy was then used to quantify the contribution of each wavelength range to the formation of DNA photoproducts. The obtained models allowed us to accurately predict the level of pyrimidine dimers in DNA irradiated under different conditions. The data were found to be more accurate than those obtained with the simple additive approach underlying the use of action spectra. Experimental design thus appears as an attractive concept that could be widely applied in photobiology even for cellular experiments.

A novel method to evaluate combined global seismic damage index using recorded floor-displacement data for RC plane frames

A novel method to evaluate combined global seismic damage index using recorded floor-displacement data for RC plane frames

Sitagliptin synergizes 5-fluorouracil efficacy in colon cancer cells through MDR1-mediated flux impairment and down regulation of NFκB2 and p-AKT survival proteins.

5-fluorouracil (5-FU) is an inexpensive treatment for colon cancer; however, its efficacy is limited by chemoresistance. This study investigates the combination therapy approach of 5-FU with Sitagliptin (Sita), a diabetic drug with potential cancer-modulating effects. The combination was evaluated in vitro and in silico, focusing on the effects of Sita and 5-FU on colon cancer cells. The results showed that the addition of Sita significantly decreased the IC50 of 5-FU compared to 5-Fu monotherapy. The study also found that Sita and 5-FU interact synergistically, with a combination index below 1. Sita successfully lowered the 5-FU dosage reduction index, decreasing the expression of MDR1 mRNA and p-AKT and NFκB2 subunits p100/p52 protein. Molecular docking analyses confirmed Sita's antagonistic action on MDR1 and thymidylate synthase proteins. The study concludes that sitagliptin can target MDR1, increase apoptosis, and significantly reduce the expression of p-AKT and NFκB2 cell-survival proteins. These effects sensitize colon cancer cells to 5-FU. Repurposing sitagliptin may enhance the anticancer effects of 5-FU at lower dosages.

Assessment of the Impact of Coal Mining on Water Resources in Middelburg, Mpumalanga Province, South Africa: Using Different Water Quality Indices

The objective of this study was to assess the water quality status of the surface water and groundwater resources in the Middelburg area, South Africa. The assessment was addressed using combined water quality indices, investigating selected chemical parameters over four different seasons for a period of five years from 2017 to 2021. A combination of the Canadian Council of Ministers of the Environment water quality index and the comprehensive pollution index was used to analyze the water quality status of surface water and groundwater of the town of Middelburg, situated near coal mining activities in Mpumalanga, South Africa. The combination of the indices indicated that some surface water monitoring sites ranged between poor to fair water quality. Groundwater monitoring points also showed a poor to fair ranking. The comprehensive pollution index confirmed that some sites showed very poor water quality in the summer seasons, exceeding expected limits for the period 2017 to 2021. The principal component analysis further showed that both surface water and groundwater sites had high levels of contamination with increased chemical parameters. The results were compared against the different water quality guidelines. In an extensive monitoring program, water management systems must be properly implemented to mitigate impacts on water resources.

Expression of TGF-β/Smad pathway-related indices in patients with isolated iliac artery aneurysms complicated with iliac arteriovenous fistula and their relationship with prognosis

ABSTRACT Objective This study investigated the expression of TGF-β/Smad pathway-related indices in patients with isolated iliac artery aneurysms (IIAA) complicated with iliac arteriovenous fistula (IAVF) and their relationship with prognosis. Methods From January 2016 to June 2022, 83 patients with IIAA complicated with IAVF (Study group) and 54 patients with IIAA not complicated with IAVF (control group) were studied. The related indices of TGF-β/Smad pathway were evaluated, and the effects of each index on the formation of IAVF were analyzed. The patients were divided into the survival group (64 cases) and death group (19 cases), and the prognostic value of indices in combination was analyzed. Results TGF-β, p-Smad2, p-Smad3, p-JNK, and p-ERK in the study group were higher than those in the control group. Abnormal increase of pSmad3 expression was a risk factor for IAVF formation in patients with IIAA. TGF-β level in the death group was higher than that in the survival group, and p-Smad3 and p-JNK proteins were higher than those in the survival group. The AUC value of indices in the TGF-β/Smad pathway in combination was greater than that of each index alone. Abnormal increased expression of pSmad3 was a risk factor for prognosis of patients with IIAA complicated with IAVF. Conclusion The abnormal increase of TGF-β/Smad pathway-related indices is related to poor prognosis of patients with IIAA complicated with IAVF, and the combined detection of all indices has a predictive value for patients’ prognosis.

The performance of a combination of heparin-binding protein with other biomarkers for sepsis diagnosis: an observational cohort study

BackgroundHBP, a novel biomarker released from neutrophils, may induce inflammatory responses and exacerbate vascular permeability, representing the pathophysiological characteristics of sepsis and septic shock. However, it remains uncertain whether the combination of HBP with other biomarkers yields enhanced diagnostic capacity for sepsis. We hypothesized that measurements included IL-6·IL-8·HBP, IL-6·IL-8·HBP/ALB and HBP/ALB which based on HBP will improve its diagnostic efficacy and even better than the traditional infection biomarkers.MethodsBetween July 2021 and June 2022, we carried out a comprehensive, multi-center, observational cohort study spanning six leading tertiary hospitals located in Heilongjiang Province, China. Patients were stratified into three categories based on the severity of infection: non-sepsis, sepsis, and septic shock. We collected clinical and laboratory data, along with infection and inflammation biomarkers, for analysis.ResultsA total of 195 patients were enrolled. Among the three groups, patients with septic shock (n = 75, 38.5%) had significantly higher baseline levels of HBP, WBC, Lac, CRP, PCT, IL-6, IL-8, and IL-10 compared to non-sepsis patients (n = 43, 22.0%) and sepsis patients (n = 77, 39.5%), with statistically significant differences (p < 0.05) observed for all parameters. When compared to SOFA score and traditional markers of CRP, PCT, IL-6 and IL-8, the combined indexes of IL-6·IL-8·HBP and IL-6·IL-8·HBP/ALB demonstrated significantly improved diagnostic performance for sepsis and septic shock (AUC 0.911 and 0.902 respectively, p < 0.001).ConclusionsThe combined measurements of IL-6·IL-8·HBP and IL-6·IL-8·HBP/ALB can augment the diagnostic capacity of HBP for sepsis, and offer reliable early supplementary indicators to traditional biomarkers for assessing disease severity in patients with infection.

Anticancer Potential of Valencia Peanut (Arachis hypogaea L.) Skin Extract against Cervical Cancer Cells In Vitro and in Nude Mouse Xenograft Models.

This study investigated the impact of Valencia KK4-type peanut skin ethanolic extract (KK4-PSE) combined with cisplatin or 5-fluorouracil (5-FU) on HeLa cells in vitro and in xenograft models. At exposure times of 24, 48 and 72 h, KK4-PSE inhibited the growth of HeLa cells with a half maximal inhibitory concentration (IC50) of 79.43 ± 0.54, 55.55 ± 1.57 and 41.32 ± 0.74 µg/mL, respectively. Drug interactions evaluated by the Chou-Talalay method demonstrated that KK4-PSE enhanced antiproliferative activity of 5-FU against HeLa cells with combination index (CI) values of 0.49 (48 h) and 0.60 (72 h), indicating a synergistic effect, while KK4-PSE combined with cisplatin exhibited an additive effect (CI = 1.02) at 72 h, and an antagonistic effect at 24 and 48 h exposures (CI = 1.12 and 1.18, respectively). In nude mouse xenograft models, the combination of 5-FU and KK4-PSE markedly reduced HeLa tumor weights compared with the control and single agent treatments groups. The combination of KK4-PSE and 5-FU achieved greater tumor growth inhibition than that of the KK4-PSE-cisplatin combination. KK4-PSE mitigated hepatotoxicity induced by both cisplatin and 5-FU in nude mice. The spleen hyaloserositis was significantly reduced in the combination treatment of 5-FU and KK4-PSE. These results suggest that KK4-PSE has the potential to limit cervical cancer cell proliferation while reducing the toxicity of cisplatin and 5-FU.

Co-administration of Ceratonia siliqua extract nanoparticles promotes the oral bioavailability and neurotherapeutic efficacy of donepezil in a dementia model.

This study aimed to assess the herb-drug interactions between crude/silver nanoparticle (SNP)-loaded carob extract (Car, NCar, respectively) and donepezil-HCl (DPZ) and their impact on neurotherapeutic outcomes in a dementia model. Carob pods were subjected to ethanol extraction, and their phytoconstituents were chromatographically analysed. SNP-loaded extract was synthesized and characterized, and dementia-like symptoms were induced in Wistar rats by repeated dosing with 175mg/kg AlCl3 for 60 days, after which the animals were treated with Car, NCar, DPZ, and combinations of Car/NCar-DPZ for 30 days. The effect of carob formulations on DPZ bioavailability was in-silico profiled and the herb-drug interactions were mathematically assessed as combination indices. Different formulations significantly improved cognitive/spatial memory functions, restored dysregulated brain redox and cholinergic functions, and markedly inhibited cholinesterase, as reflected by the reduction/absence of amyloid plaques and neurofibrillary tangles. In silico profiling of the major phytoconstituents revealed their non-P-glycoprotein substrate nature and CYP3A4, 2C19, and 2C9 inhibition, which might have improved the oral bioavailability of DPZ. The combination index calculations revealed strong synergy between DPZ and both carob formulations, with the strongest effect exhibited by the DPZ/NCar combination. The co-administration of carob extract/SNPs represents a promising approach for enhancing the neurotherapeutic efficacy of DPZ.

Reduction-Responsive Polyprodrug Nanoplatform Based on Curcumin for Tumor-Targeted Therapy.

Polymer prodrug nanoparticles have become an emerging drug delivery system in cancer therapy due to their high drug loading. However, their poor drug release and lack of tumor cell targeting limit their clinical application. This study aimed to prepare targeted and reduction-reactive polyprodrug nanocarriers based on curcumin (CUR) for co-delivery of doxorubicin (DOX), labeled as DOX/HAPCS NPs, and to investigate their anticancer activity. The polymer was synthesized and characterized by chemical method. The drug loading and drug release behavior of DOX and CUR in polymer nanoparticles were determined. Moreover, the antitumor effects of polymer nanoparticles were evaluated using an MTT experiment and tumor inhibition experiment, and the synergistic effect of co-delivered DOX and CUR was explored. The particle size of DOX/HAPCS NPs was 152.5nm, and the potential was about -26.74 mV. The drug-carrying capacity of DOX and CUR was about 7.56% and 34.75%, respectively, indicating high drug-carrying capacity and good stability. DOX and CUR released over 90% within 24 hours in the tumor environment. Compared with free DOX, DOX/HAPCS NPs demonstrated significantly enhanced cell and tumor inhibitory effects (P&#60; 0.05) in vivo and in vitro and changed drug distribution to avoid toxic side effects on normal tissues. The combined index showed that DOX and CUR showed synergistic anticancer effects at a set ratio. The prepared reduction-responsive targeted polymer nanomedical DOX/HAPCS NPs exhibited a synergistic anti-cancer effect, with high drug loading capacity and the ability to release drugs in proportion, making it a promising polymer nanoparticle drug delivery system.

Research on Estimating Potato Fraction Vegetation Coverage (FVC) Based on the Vegetation Index Intersection Method

The acquisition of vegetation coverage information is crucial for crop field management, and utilizing visible light spectrum vegetation indices to extract vegetation coverage information is a commonly used method. However, most visible light spectrum vegetation indices do not fully consider the relationships between the red, green, and blue bands during their construction, making it difficult to ensure the accurate extraction of coverage information throughout the crop’s entire growth cycle. To rapidly and accurately obtain potato vegetation coverage information, drones were used in this study to obtain high-resolution digital orthoimages of potato growth stages. Based on the differences in the grayscale values of potato plants, soil, shadows, and drip irrigation belts, this study presents a combination index of blue and green bands (BGCI) and a combination index of red and green bands (RGCI). The vegetation index intersection method was used with 10 vegetation information indices to extract vegetation coverage, and the differences in extraction accuracy were compared with those of the maximum entropy method and bimodal histogram method. Based on the high-precision fraction vegetation coverage (FVC) extraction results, the Pearson correlation coefficient method and random forest feature selection were used to screen 10 vegetation and 24 texture features, and the top six vegetation indices most strongly correlated with the FVC were selected for potato growth stage FVC estimation and accuracy verification. A high-precision potato vegetation coverage estimation model was successfully established. This study revealed that during the potato tuber formation and expansion stages, the BGCI combined with the vegetation index intersection method achieved the highest vegetation coverage extraction accuracy, with overall accuracies of 99.61% and 98.84%, respectively. The RGCI combined with the vegetation index intersection method achieved the highest accuracy, 98.63%, during the maturation stage. For the potato vegetation coverage estimation models, the model based on the BGCI achieved the highest estimation accuracy (R2 = 0.9116, RMSE = 5.7903), and the RGCI also achieved good accuracy in terms of vegetation coverage estimation (R2 = 0.8987, RMSE = 5.8633). In the generality verification of the models, the R2 values of the FVC estimation models based on the BGCI and RGCI were both greater than 0.94. A potato vegetation coverage estimation model was constructed based on two new vegetation information indices, demonstrating good accuracy and universality.

Value of multiparametric magnetic resonance imaging in distinguishing sinonasal lymphoma from sinonasal carcinoma: a case control study

BackgroundThe study aimed to evaluate the diagnostic efficacy of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and diffusion-weighted imaging (DWI) parameters in distinguishing sinonasal lymphoma from sinonasal carcinoma.MethodsForty-two participants with histologically confirmed sinonasal lymphomas and fifty-two cases of sinonasal carcinoma underwent imaging with a 3.0T MRI scanner. DCE-MRI and DWI were conducted, and various parameters including type of time-intensity curve(TIC), time to peak, peak enhancement, peak contrast enhancement, washout rate, apparent diffusion coefficient (ADC), and relative ADC were measured. Binary logistic regression and receiver operating characteristic (ROC) curve analysis were employed to assess the diagnostic capability of individual and combined indices for differentiating nasal sinus lymphoma from nasal sinus carcinoma.ResultsSinonasal lymphoma predominantly exhibited type II TIC(n = 20), whereas sinonasal carcinoma predominantly exhibited type III TIC(n = 23). Significant differences were observed in all parameters except washout ratio (p < 0.05), and ADC value emerged as the most reliable diagnostic tool in single parameter. Combined DCE-MRI parameters demonstrated superior diagnostic efficacy compared to individual parameters, with the highest efficiency (area under curve = 0.945) achieved when combining all parameters of DCE-MRI and DWI.ConclusionsMultiparametric evaluation involving contrast-enhanced dynamic MRI and DWI holds considerable diagnostic value in distinguishing sinonasal lymphoma from sinonasal carcinoma.

Diagnostic Value of Interleukin 6, Interleukin 12P70, Serum Amyloid A, and Procalcitonin for Rheumatoid Arthritis and Their Relationship With the Disease Activity

To observe the diagnostic value of four serum inflammatory biomarkers, including interleukin 6 (IL-6), interleukin 12P70 (IL-12P70), serum amyloid A (SAA), and procalcitonin (PCT), in rheumatoid arthritis (RA) and to analyze their relationship with the disease activity. The study included 60 RA patients admitted to the Department of Rheumatology at Anhui Provincial Hospital of Traditional Chinese Medicine between December 2022 and December 2023. Thirty healthy individuals from the hospital's physical examination center served as the control group. Serum levels of IL-6 and IL-12P70 were detected using flow cytometry. SAA levels were determined by immunoturbidimetry, and PCT levels were assessed by chemiluminescence. Erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), rheumatoid factor (RF), and anticyclic citrullinated peptide (ACCP) were detected using an automated biochemical analyzer. The 28-joint disease activity scores (DAS28-ESR) based on ESR were observed. Statistical analysis included t-tests, rank-sum tests, and Kruskal-Wallis H tests to compare the expression differences of the biomarkers among different groups. The diagnostic value of these biomarkers for RA was analyzed by ROC curve analysis. Spearman correlation analysis was performed to assess the relationships between the four inflammatory biomarkers and CRP, ESR, RF, ACCP, and DAS28-ESR. 1) The expression levels of SAA, IL-6, and IL-12P70 in the RA group were significantly higher than those in the control group (P<0.01). 2) ROC curve analysis showed that the area under the curve (AUC) for PCT was 0.611 (95% confidence interval [CI]: 0.488-0.735, P>0.05), for SAA, it was 0.819 (95% CI: 0.733-0.906, P<0.01), for IL-6, it was 0.875 (95% CI: 0.803-0.946, P<0.01), and for IL-12P70, it was 0.832 (95% CI: 0.746-0.917, P<0.01). The combined index of IL-6, IL-12P70, SAA, and PCT had an AUC of 0.973 (95% CI: 0.942-1.000, P<0.01). This indicates that the four inflammatory biomarkers can assist in the diagnosis of rheumatoid arthritis. 3) The expression levels of PCT and SAA varied significantly among the high, moderate, and low activity RA groups (P<0.01). 4) In RA patients, CRP was positively correlated with SAA (rs =0.75, P<0.01), and IL-6 (rs =0.52, P<0.01). ESR was positively correlated with SAA (rs =0.36, P<0.01). DAS28-ESR was positively correlated with PCT (rs =0.34, P=0.01), SAA (rs =0.51, P<0.01) and IL-6 (rs =0.33, P=0.01). The four inflammatory biomarkers (PCT, SAA, IL-6, and IL-12P70) are closely related to rheumatoid arthritis disease activity and can serve as serum indicators to assist in the diagnosis and assessment of RA.