The CXCR4 might be a potential biomarker for esophageal squamous cell carcinoma: A meta-analysis.

OBJECTIVE: To evaluate the relationship between CXCL12/CXCR4 and the progress, prognosis of esophageal squamous cell carcinoma (ESCC), providing evidence for potential early diagnosis, clinical treatment, prognosis evaluation, and therapeutic target of ESCC. METHODS: Databases of PubMed, the Cochrane Library, Embase, and Web of Science were searched for the relationship between CXCL12/CXCR4 and clinicopathological characteristics and survival time of ESCC. Stata16.0 software was used to conduct meta-analysis. RESULTS: A total of 10 studies involving 1216 cases of patients with ESCC were included in our study. The results indicated that high-level expression of CXCR4 was significantly correlated with tumor differentiation [OR = 0.69, 95% confidence interval (CI): (0.50, 0.97)], tumor infiltration [OR = 0.39, 95% CI: (0.25, 0.61)], lymph node metastasis [OR = 0.36, 95% CI: (0.21, 0.61)], clinical stage [OR = 0.33, 95% CI: (0.24, 0.45)] of ESCC. The expression of CXCR4 was also significantly correlated with OS [HR = 2.00, 95% CI: (1.63, 2.45)] and disease-free survival [HR = 1.76, 95% CI: (1.44, 2.15)] in patients of ESCC after surgical resection. No significant relationship was observed between the expression of CXCL12 and the clinicopathological characteristics of ESCC. CONCLUSION: CXCR4 might be a potential biomarker for the progress and prognosis evaluation, and therapeutic target for ESCC.

Synthesis and preclinical evaluation of novel 18F-labeled fibroblast activation protein tracers for positron emission tomography imaging of cancer-associated fibroblasts.

Fibroblast activation protein (FAP) is overexpressed in cancer-associated fibroblasts in more than 90% of epithelial tumors. Several radiotracers targeting FAPs have been used in clinical settings in recent years. However, the number of 18F-labeled FAP tracers is still limited. Herein, we aimed to develop 18F-labeled FAP tracers with optimized pharmacokinetics. Labeling precursors (NOTA-DD-FAPI and NOTA-PD-FAPI) were synthesized and labeled with fluorine-18. The precursors NOTA-DD-FAPI (IC50 = 0.21 ± 0.06 nM) and NOTA -PD-FAPI (IC50 = 0.13 ± 0.07 nM) showed a higher affinity for FAP compared to NOTA-FAPI-42 (IC50 = 0.66 ± 0.19 nM). Novel 18F-labeled FAP tracers showed a specific uptake, high internalized fraction, and low cellular efflux in vitro. Compared to the clinically used tracer [18F]AlF-FAPI-42, both the novel 18F-labeled FAP tracers, and especially the [18F]AlF-PD-FAPI tracer with a higher tumor-to-background ratio demonstrated rapid renal excretion and higher tumor uptake during preclinical evaluation, resulting in images with higher contrast. Thus, [18F]AlF-PD-FAPI shows promise for use as a FAP-targeting tracer for clinical translation.

High PAQR4 mRNA Expression May Play a Key Role in Prognosis of Kidney Renal Papillary Cell Carcinoma.

OBJECTIVE: Kidney renal papillary cell carcinoma (KIRP) is the main subtype of renal cell carcinoma (RCC). The Progestin and AdipoQ Receptor Family Member 4 (PAQR4) has been found highly expressed in numerous cancers compared to normal tissues, but the role of PAQR4 in KIRP is unclear. METHODS: The expression levels of PAQR4 mRNA obtained from TCGA. Receiver operating characteristic (ROC) curves were used to evaluate the diagnostic value of PAQR4 expression in KIRP patients. Chi-square test was used to determine the correlation between clinical features and PAQR4 expression. Kaplan-Meier analysis and Cox analysis were used to determine the prognostic value of expression levels of PAQR4 in KIRP patients. Gene set enrichment analysis (GSEA) was also performed. The level of PAQR4 mRNA, protein expression and cell proliferation were analyzed through qRT-PCR, western blot and CCK-8 assay. RESULTS: The expression levels of PAQR4 was significantly higher in KIRP tissues. Highly expressed PAQR4 mRNA was correlated with gender, clinical stage and overall survival. Multivariate analysis indicated that PAQR4 was an independent risk factor for patients with KIRP. GPCR ligand binding, signaling by Rho GTPases, DNA repair and PI3K-AKT signaling pathway were associated with aberrant PAQR4 expressions. Moreover, the expression levels of PAQR4 was upregulated in human KIRP and the inhibition of PAQR4 reduced cells proliferation. CONCLUSION: PAQR4 could be a potential diagnostic and prognostic biomarker in KIRP. The aberrant expression of this protein may trigger the alterations in the numerous signaling pathways, a process likely causing and accelerating the disease.

Single-cell sequencing provides insights into the landscape of ovary in PCOS and alterations induced by CUMS.

Polycystic ovary syndrome (PCOS) is a common endocrine disorder related to psychological distress. However, the mechanism underlying increased prevalence of depression in PCOS remained unclear. This study aimed to explore the unique transcriptional landscape of ovary and offered a platform to explore the mechanism of PCOS, as well as the influences caused by depression. The PCOS rat model was established by letrozole whereas PCOS rat model with depression was established by letrozole combined with chronic unpredicted mild stress (CUMS). Then single-cell RNA sequencing (scRNA-Seq) was applied to analyze the transcriptional features of rat ovaries. Granulosa cells (GCs) and fibroblasts (Fibros) accounted for the top two clusters of total 12 cell types. There were nine clusters in GCs, related to inflammatory response, endoplasmic reticulum (ER) stress, and steroidogenesis. The expression of differentially expressed genes (DEG) Hes1 was higher in PCOS and PCOS + CUMS groups, exhibiting enhanced expression by pseudotime and positively related to inflammation. Pseudotemporal analysis revealed that inflammation contributed to the different GCs distributions. Moreover, analysis of DEGs and gene ontology (GO) function enrichment revealed CUMS aggravated inflammation in PCOS GCs possibly via interferon signaling pathway. In theca cells (TCs), nine clusters were observed and some of them were relevant to inflammation, ER stress, and lipid metabolism. DEGs Ass1, Insl3, and Ifi27 were positively related to Cyp17a1, and Ces1d might contribute to the different trajectory of TCs. Subsequent scRNA-seq revealed a signature profile of endothelial cells (ECs) and Fibros, which suggest that inflammation-induced damage of ECs and Fibro, further exacerbated by CUMS. Finally, analysis of T cells and mononuclear phagocytes (MPs) revealed the existence of immune dysfunction, among which interferon signaling played a critical role. These findings provided more knowledge for a better understanding PCOS from the view of inflammation and identified new biomarkers and targets for the treatment of PCOS with psychological diseases.NEW & NOTEWORTHY In this study, we mapped the landscape of polycystic ovary syndrome (PCOS) ovary with rat model induced by letrozole and provided a novel insight into the molecular mechanism of PCOS accompanied by chronic unpredicted mild stress (CUMS) at single-cell transcriptomic level. These observations highlight the importance of inflammation in the pathogenesis of PCOS, which might also be the bridge between PCOS and psychological diseases.

SOX9/NFIA promotes human ovarian cancer metastasis through the Wnt/ß-catenin signaling pathway.

To our knowledge, Sex-determining Region Y box 9 (SOX9) has been in connection with a wide range of human cancers. Nevertheless, there remains uncertainty regarding SOX9's role in metastasizing ovarian cancer. In our study, SOX9 was investigated in relation to tumor metastasis in ovarian cancer as well as its potential molecular mechanisms. First, we exhibited an apparent higher expression of SOX9 in ovarian cancer tissues and cells than in normative ones, and the prognosis of patients whose SOX9 levels were high was markedly lower than that of patients whose SOX9 levels were low. Besides, highly expressed SOX9 was correlated with high grade serous carcinoma, poor tumor differentiation, high serum CA125 and lymph node metastasis. Second, SOX9 knockdown exhibited striking inhibition of the migration and invasive ability of ovarian cancer cells, whereas SOX9 overexpression had an inverse role. At the same time, SOX9 could promote ovarian cancer intraperitoneal metastasis in a nude mice in the vivo. In a similar way, SOX9 knockdown dramatically decreased the expression of nuclear factor I-A (NFIA), ß-catenin as well as N-cadherin but had an increased in E-cadherin expression, as opposed to the results when SOX9 was overexpressed. Furthermore, NFIA silencing inhibited the expression of NFIA, ß-catenin and N-cadherin, in the same way that E-cadherin expression was promoted. In conclusion, this study shows that SOX9 has a promotional effect on human ovarian cancer and that SOX9 promotes the metastasis of tumors by upregulating NFIA and activating on a Wnt/ß-catenin signal pathway. SOX9 could be a novel focus for earlier diagnosis, therapy and prospective evaluation in ovarian cancer.

Nourishing Kidney Promoting Ovulation Decoction (NKPOD) Attenuates Polycystic Ovary Syndrome by Downregulating miRNA-224.

Background: Currently, exploring effective agents is urgently required for polycystic ovary syndrome (PCOS) treatment. Although nourishing kidney promoting ovulation decoction (NKPOD) as a traditional Chinese medicine decoction is widely employed to increase pregnancy rates, whether NKPOD attenuates ovulation disorders in PCOS patients remains unknown. Here, we aim to explore the clinical significance and the underlying mechanisms of NKPOD in ovulation disorders. Methods: PCOS patients were recruited to confirm the clinical significance of NKPOD in attenuating ovulation disorder. Subsequently, regulation targets of NKPOD were identified through network pharmacology analysis. Additionally, a series of experiments were performed to observe the impacts of NKPOD on miRNA-224 transcription through transcription factor AR. Results: In this study, NKPOD administration improved hormone dysregulation and reproductive outcomes in PCOS patients. Interestingly, 100 potential targets related to NKPOD and PCOS were screened, and transcription regulation was observed to be the most enriched function. Mechanistically, NKPOD inhibited miRNA-224 transcription through reducing AR expression, in which AR as a transcription factor directly regulated miRNA-224 transcription. Conclusions: Collectively, these findings highlight the therapeutic effect of NKPOD on PCOS, which could provide promising therapeutic agents for PCOS.

Cryptotanshinone Reverses Corticosteroid Insensitivity by Inhibition of Phosphoinositide-3-Kinase-δ in Chronic Obstructive Pulmonary Disease.

Purpose: Corticosteroid insensitivity has become a major barrier in the treatment of chronic obstructive pulmonary disease (COPD). It is known that oxidative stress reduces the expression and activity of histone deacetylase (HDAC)-2 by activating phosphoinositide-3-kinase-δ(PI3Kδ)/Akt pathway, which is a common mechanism. The aim of this study was to investigate whether cryptotanshinone (CPT) can improve corticosteroid sensitivity and to investigate the molecular mechanisms by which this occurs. Patients and Methods: Corticosteroid sensitivity in peripheral blood mononuclear cells (PBMCs) collected from COPD patients, or in human monocytic U937 monocytic cells exposed to cigarette smoke extract (CSE), was quantified as the dexamethasone concentration required to achieve 30% inhibition of tumor necrosis factor-α (TNFα)-induced interleukin 8 (IL-8) production in the presence or absence of cryptotanshinone. PI3K/Akt activity (measured as the relative ratio of phosphorylated Akt at Ser-473 to total Akt) and HDAC2 expression levels were determined by western blotting. HDAC activity was evaluated by a Fluo-Lys HDAC activity assay kit in U937 monocytic cells. Results: Both PBMCs in patients with COPD and U937 cells exposed to CSE were found to be insensitive to dexamethasone, accompanied by increased phosphorylated Akt (pAkt) and decreased HDAC2 protein expression. The pretreatment of cryptotanshinone restored their sensitivity to dexamethasone, and simultaneously downregulated the level of phosphorylated Akt and upregulated the level of HDAC2 protein. Pretreatment with cryptotanshinone or IC87114 reversed the decrease in HDAC activity in CSE-stimulated U937 cells. Conclusion: Cryptotanshinone restores corticosteroid sensitivity induced by oxidative stress via inhibition of PI3Kδ and is a potential treatment for corticosteroid-insensitive diseases such as COPD.

Blockade of dual immune checkpoint inhibitory signals with a CD47/PD-L1 bispecific antibody for cancer treatment.

Background: Even though PD-1/PD-L1 is an identified key "don't find me" signal to active adaptive immune system for cancer treatment, the overall response rate (ORR) for all cancer patients is still limited. Other effective therapeutic modalities to bridge the innate and adaptive immunity to improve ORR are urgently needed. Recently, CD47/SIRPα interaction is confirmed as a critical "don't eat me" signal to active innate immunity. However, the red blood cell (RBC) toxicity is the big concern for the development of CD47-based anti-cancer therapeutics. Methods: Here, we report the development of a CD47/PD-L1 bispecific antibody 6MW3211 to block both PD-1/PD-L1 and CD47/SIRPα signals, and studied the effects of 6MW3211 on anti-tumor immune functions in vitro and in vivo. The pharmacokinetic and toxicity profiles of 6MW3211 were evaluated in GLP non-human primate (NHP) studies. Results: The dual immune checkpoint inhibitory signaling blocker 6MW3211 shows high binding affinity to PD-L1 and low binding affinity to CD47. This inequivalent binding affinity design makes 6MW3211 preferentially bound to PD-L1 on tumor cells followed by disrupting the interaction of CD47/SIRPα. Complex structure determination and flow cytometry assay demonstrated that 6MW3211 has no binding to either human or rhesus monkey RBCs. 6MW3211 effectively blocked both PD-1/DP-L1 and CD47/SIRPα signaling and promoted macrophage phagocytosis of tumor cells. Potent therapeutic efficacies of 6MW3211 in three different mouse models were further observed. Moreover, 6MW3211 was demonstrated to have a fairly good safety profile in a GLP NHP study. In addition, multiplex fluorescent immunohistochemistry (mIHC) staining shows that PD-L1 and CD47 co-express on several different types of human tumor tissues. Conclusions: These results support the development of 6MW3211 for the treatment of PD-L1 and CD47 double positive cancers.

Viability droplet digital polymerase chain reaction accurately enumerates probiotics and provides insight into damage experienced during storage.

Probiotics are typically enumerated by agar plate counting (PC) techniques. PC has several limitations including poor specificity, high variability, inability to enumerate dead cells, viable but non-culturable cells and cells in complex matrices. Viability droplet digital polymerase chain reaction (v-ddPCR) is an emerging enumeration technique with improved specificity, precision, and the ability to enumerate cells in varying states of culturability or in complex matrices. Good correlation and agreement between v-ddPCR and PC is well documented, but not much research has been published on the comparison when enumerating freeze-dried (FD) probiotics during storage. In this study, v-ddPCR utilizing PE51 (PE51-ddPCR), a combination of propidium monoazide (PMA) and ethidium monoazide (EMA), was evaluated as alternative enumeration technique to PC on blends of four FD probiotic strains over the course of a 3-month storage study with accelerated conditions. When PMA and EMA are combined (PE51), this study demonstrates agreement (bias = 7.63e+9, LOA = 4.38e+10 to 5.9e+10) and association (r = 0.762) between PC and v-ddPCR, at or above levels of an accepted alternative method. Additionally, v-ddPCR with individual dyes PMA and EMA provide insight into how they individually contribute to the viable counts obtained by PE51-ddPCR and provide a more specific physiological understanding of how probiotics cope with or experience damage during storage.

TRIM27 cooperates with STK38L to inhibit ULK1-mediated autophagy and promote tumorigenesis.

Autophagy represents a fundamental mechanism for maintaining cell survival and tissue homeostasis in response to physiological and pathological stress. Autophagy initiation converges on the FIP200-ATG13-ULK1 complex wherein the serine/threonine kinase ULK1 plays a central role. Here, we reveal that the E3 ubiquitin ligase TRIM27 functions as a negative regulatory component of the FIP200-ATG13-ULK1 complex. TRIM27 directly polyubiquitinates ULK1 at K568 and K571 sites with K48-linked ubiquitin chains, with proteasomal turnover maintaining control over basal ULK1 levels. However, during starvation-induced autophagy, TRIM27 catalyzes non-degradative K6- and K11-linked ubiquitination of the serine/threonine kinase 38-like (STK38L) kinase. In turn, STK38L ubiquitination promotes its activation and phosphorylation of ULK1 at Ser495, rendering ULK1 in a permissive state for TRIM27-mediated hyper-ubiquitination of ULK1. This cooperative mechanism serves to restrain the amplitude and duration of autophagy. Further evidence from mouse models shows that basal autophagy levels are increased in Trim27 knockout mice and that Trim27 differentially regulates tumorigenesis and metastasis. Our study identifies a key role of STK38L-TRIM27-ULK1 signaling axis in negatively controlling autophagy with relevance established in human breast cancer.

The effect of the probiotic consortia on SARS-CoV-2 infection in ferrets and on human immune cell response in vitro.

Probiotics have been suggested as one solution to counter detrimental health effects by SARS-CoV-2; however, data so far is scarce. We tested the effect of two probiotic consortia, OL-1 and OL-2, against SARS-CoV-2 in ferrets and assessed their effect on cytokine production and transcriptome in a human monocyte-derived macrophage (Mf) and dendritic cell (DC) model. The results showed that the consortia significantly reduced the viral load, modulated immune response, and regulated viral receptor expression in ferrets compared to placebo. In the human Mf and DC model, OL-1 and OL-2-induced cytokine production and genes related to SARS-CoV-2 antiviral immunity. The study results indicate that probiotic stimulation of the ferret immune system leads to improved antiviral immunity against SARS-COV-2, and the genes and cytokines associated with anti-SARS-CoV-2 immunity are stimulated in human immune cells in vitro. The effect of the consortia against SARS-CoV-2 warrants further investigations in human clinical trials.

F-Box Protein 11 Suppresses Cell Proliferation and Aerobic Glycolysis in Glioblastomas by Mediating the Ubiquitin Degradation of Cdc25A.

Glioblastoma is a malignant CNS tumor with an extremely poor prognosis. F-box protein 11 (FBXO11) has E3 ubiquitin ligase activity and participates in the pathogenesis of multiple tumors but the role and mechanism of FBXO11 activity in glioblastoma remain unknown. In this study, FBXO11 was first observed to be downregulated in glioblastoma tissues and cell lines. 3-(4,5)-dimethylthiahiazo (-z-y1)-3,5-di- phenytetrazoliumromide (MTT) and colony formation assays and enzyme linked immunosorbent assay (ELISA) demonstrated that overexpression of FBXO11 suppressed proliferation and aerobic glycolysis and induced cell cycle arrest in U251-MG and A172 cells. FBXO1 decreased cell division cycle 25 A (Cdc25A) expression through ubiquitin degradation in a coprecipitation assay. A Western blot assay validated FBXO11 suppression of PKM2 dephosphorylation and c-Myc-mediated aerobic glycolysis via reduction of Cdc25A. In addition, a rescue experiment revealed that FBXO11 suppressed proliferation and aerobic glycolysis, both of which were reversed by overexpression of Cdc25A. FBXO11 overexpression also inhibited tumorigenesis via suppressing Cdc25A expression in vivo. These findings indicate that FBXO11 suppresses cell proliferation and aerobic glycolysis in glioblastomas by mediating the ubiquitin degradation of Cdc25A thereby providing insight into mechanisms of glioblastoma tumorigenesis and identifying a new potential therapeutic strategy.

Novel microaerobic agar plate method delivers highly selective and accurate enumeration of probiotic lactobacilli in freeze-dried blends containing bifidobacteria.

The enumeration of viable bacteria is an essential metric in the dietary supplement and food industry to ensure quality of probiotic products. However, selective enumeration of lactobacilli in probiotic freeze-dried blends containing bifidobacteria is difficult to achieve with current Lactobacillus-specific agars (i.e., Rogosa and LAMVAB). Using a panel of Bifidobacterium and Lactobacillus commercial probiotic species, we found that Rogosa agar failed to inhibit all bifidobacteria while LAMVAB agar suppressed several lactobacilli. This prompted us to develop an alternative method of selection, hereby referred to as Lactobacillus Micro-Aerobic (LMA) method, which promotes growth under controlled microaerobic conditions (6-12% O2, 5-8% CO2) to leverage the different oxygen sensitivities of lactobacilli and bifidobacteria. Validation using pure cultures and multi-strain blends of 4 Bifidobacterium and 10 Lactobacillus species showed that LMA effectively suppressed all bifidobacteria and accurately enumerated all lactobacilli when compared to control methods. These results demonstrate the superior efficacy of modulating the redox environment to select for Lactobacillus within a Bifidobacterium-rich background, as opposed to applying acid and antibiotic pressures.

Inhibition of Kelch-like epichlorohydrin-related protein 1 promotes the progression and drug resistance of lung adenocarcinoma.

BACKGROUND: Lung cancer is a common malignant carcinoma of respiratory system with high morbidity and mortality. Kelch-like epichlorohydrin-related protein 1 (Keap1), a member of the BTB-Kelch protein family, has been reported as an important molecule in several cancers. However, its potential role in tumor is still controversial. Here we aim to clarify the effect of Keap1 on the biological characteristics and chemotherapy resistance in lung adenocarcinoma (LUAD). METHODS: Immunohistochemistry was conducted to compare Keap1 expression in lung adenocarcinoma tissues and matched non-cancerous tissues, and the correlation between Keap1 expression and clinicopathological features was analyzed. Subsequently, the stable A549 and H1299 cell lines with Keap1 knockdown or overexpression were constructed using lentivirus. The roles of Keap1 on the cell proliferation, migration, invasion and drug resistance were investigated by colony formation assay, cell proliferation assay, wound scratch test, transwell invasion assay and drug sensitivity assay, respectively. RESULTS: Keap1 was lowly expressed in tumor tissues compared to matched non-cancerous tissues, and its expression was correlated with TNM stage and lymph node metastasis. Early stage (I) tumors without lymph node metastasis had higher levels of Keap1 expression compared with late-stage tumors (II, III) with the presence of lymphatic metastasis. Colony formation assays showed that Keap1 knockdown promoted the proliferation of A549 and H1299 cells, and the cell growth curves further confirmed this feature. In contrast, wound scratch and transwell invasion experiments showed that Keap1 overexpression inhibited cell migration and invasive malignancy. The IC50 for cisplatin and paclitaxel were significantly increased by Keap1 knockdown in A549 and H1299 cell lines. CONCLUSION: Keap1 knockdown promotes tumor cell growth, proliferation, invasion, metastasis and chemotherapy resistance in LUAD. It may be a potential tumor marker to guide the staging and treatment of lung cancer.

Production of high sensory quality Shiitake mushroom (Lentinus edodes) by pulsed air-impingement jet drying (AID) technique.

The effect of pulsed air-impingement jet drying (AID) on the sensory qualities of Shiitake mushroom was comprehensively examined compared with hot air drying (HAD) and vacuum freeze-drying (VFD). AID considerably improved the characteristic flavors (onion-like odor and umami) of dried mushrooms by partially inhibiting enzymatic and Maillard reactions. The texture characteristics (rehydration and shrinkage) of AID mushrooms had no significant difference to VFD ones and were better than HAD ones. AID combined the advantages of HAD and VFD technologies and outperformed HAD and VFD in terms of overall quality, though the total content of free amino acids and soluble sugars of AID mushrooms dropped slightly. In summary, AID is a promising drying technology for obtaining high sensory quality Shiitake mushrooms compared to prevailing drying methods.

Characterization of neutralizing antibody with prophylactic and therapeutic efficacy against SARS-CoV-2 in rhesus monkeys.

Efficacious interventions are urgently needed for the treatment of COVID-19. Here, we report a monoclonal antibody (mAb), MW05, with SARS-CoV-2 neutralizing activity by disrupting the interaction of receptor binding domain (RBD) with angiotensin-converting enzyme 2 (ACE2) receptor. Crosslinking of Fc with FcγRIIB mediates antibody-dependent enhancement (ADE) activity by MW05. This activity is eliminated by introducing the LALA mutation to the Fc region (MW05/LALA). Potent prophylactic and therapeutic effects against SARS-CoV-2 are observed in rhesus monkeys. A single dose of MW05/LALA blocks infection of SARS-CoV-2 in prophylactic treatment and clears SARS-CoV-2 in three days in a therapeutic treatment setting. These results pave the way for the development of MW05/LALA as an antiviral strategy for COVID-19.

Metal Chelates of Petunidin Derivatives Exhibit Enhanced Color and Stability.

Anthocyanins with catechol (cyanidin) or pyrogallol (delphinidin) moieties on the B-ring are known to chelate metals, resulting in bluing effects, mainly at pH ≤ 6. Metal interaction with petunidin, an O-methylated anthocyanidin, has not been well documented. In this study, we investigated metal chelation of petunidin derivatives in a wide pH range and its effects on color and stability. Purple potato and black goji extracts containing >80% acylated petunidin derivatives (25 µM) were combined with Al3+ or Fe3+ at 0 µM to 1500 µM in buffers of pH 3-10. Small metal ion concentrations triggered bathochromic shifts (up to ~80nm) at an alkaline pH, resulting in vivid blue hues (hab 200°-310°). Fe3+ caused a larger bathochromic shift than Al3+, producing green colors at pH 8-9. Generally, metal ions increased the color stability and half-life of petunidin derivatives in a dose-dependent manner, particularly at pH 8. Petunidin derivative metal chelates produced a wide range of colors with enhanced stability.

Optimization of Viability Treatment Essential for Accurate Droplet Digital PCR Enumeration of Probiotics.

Improvements offered by viability droplet digital PCR (v-ddPCR) include increased precision, specificity and decreased time to results making for an attractive alternative method to traditional plate count enumeration of probiotic products. A major hurdle faced in v-ddPCR, however, is distinguishing between live and dead cells. The objective of this study was to evaluate a combination of PMA and EMA (PE51) for viability treatment of freeze-dried probiotic powders. Lactobacillus acidophilus La-14 and Bifidobacterium animalis subsp. lactis Bi-07 were analyzed over a 2-log PE51 concentration gradient to investigate the efficiency across genus and assay targets. Results suggest a need to optimize viability dye concentration based on the genera of the organism, but also the assay target, even when analyzing the same organism. When optimized for PE51 concentration, strain specific v-ddPCR assays for both La-14 and Bi-07 were demonstrated to agree with plate count enumeration results. In conclusion, while these v-ddPCR assays require highly specific optimization, they are better suited for the future of the probiotic industry and are suggested to be implemented in probiotic product testing.

Non-Destructive Detection of Strawberry Quality Using Multi-Features of Hyperspectral Imaging and Multivariate Methods.

Soluble solid content (SSC), pH, and vitamin C (VC) are considered as key parameters for strawberry quality. Spectral, color, and textural features from hyperspectral reflectance imaging of 400-1000 nm was to develop the non-destructive detection approaches for SSC, pH, and VC of strawberries by integrating various multivariate methods as partial least-squares regression (PLSR), support vector regression, and locally weighted regression (LWR). SSC, pH, and VC of 120 strawberries were statistically analyzed to facilitate the partitioning of data sets, which helped optimize the model. PLSR, with spectral and color features, obtained the optimal prediction of SSC with determination coefficient of prediction (Rp2) of 0.9370 and the root mean square error of prediction (RMSEP) of 0.1145. Through spectral features, the best prediction for pH was obtained by LWR with Rp2 = 0.8493 and RMSEP = 0.0501. Combination of spectral and textural features with PLSR provided the best results of VC with Rp2 = 0.8769 and RMSEP = 0.0279. Competitive adaptive reweighted sampling and uninformative variable elimination (UVE) were used to select important variables from the above features. Based on the important variables, the accuracy of SSC, pH, and VC prediction both gain the promotion. Finally, the distribution maps of SSC, pH, and VC over time were generated, and the change trend of three quality parameters was observed. Thus, the proposed method can nondestructively and accurately determine SSC, pH, and VC of strawberries and is expected to design and construct the simple sensors for the above quality parameters of strawberries.

Hyperspectral imaging for accurate determination of rice variety using a deep learning network with multi-feature fusion.

The phenomena of rice adulteration and shoddy rice arise continuously in high-quality rice and reduce the interests of producers, consumers and traders. Hyperspectral imaging (HSI) was conducted to determine rice variety using a deep learning network with multiple features, namely, spectroscopy, texture and morphology. HSI images of 10 representative high-quality rice varieties in China were measured. Spectroscopy and morphology were extracted from HSI images and binary images in region of interest, respectively. And texture was obtained from the monochromatic images of characteristic wavelengths which were highly correlated with rice varieties. A deep learning network, namely principal component analysis network (PCANet), was adopted with these features to develop classification models for determining rice variety, and machine learning methods as K-nearest neighbour and random forest were used to compare with PCANet. Meanwhile, multivariate scatter correction, standard normal variate, Savitzky-Golay smoothing and Savitzky-Golay's first-order were applied to eliminate spectral interference, and principal component analysis (PCA) was performed to obtain the main information of high-dimensional features. Multi-feature fusion improved recognition accuracy, and PCANet demonstrated considerable advantage in classification performance. The best result was achieved by PCANet with PCA-processed spectroscopic and texture features with correct classification rates of 98.66% and 98.57% for the training and prediction sets, respectively. In summary, the proposed method provides an accurate identification of rice variety and can be easily extended to the classification, attribution and grading of other agricultural products.