Automated Cell Counter Research Articles

The Relationship between Raised Mean Platelet Volume and Severity of Newly Diagnosed Acute Ischaemic Stroke

Introduction and Objective: Stroke is one of the leading causes of mortality and long-term disability throughout the world. Mean platelet volume (MPV), a marker of platelet activation, is calculated and provided by automatic blood cell count equipment during routine complete blood count analysis is a surrogate marker of platelet function and a potential mediator of the association between inflammation and thrombosis. So, to investigate MPV in ischaemic stroke and its role to discriminating more severe stroke from mild one the current study was done. Methods: This observational case control study was carried out in Department of Medicine, Dhaka Medical College Hospital (DMCH) from July 2015 to June 2016. 100 patients with attack of ischaemic stroke who presented within 24 hours of symptoms onset were divided into 2 groups (group-1: mRS score 0-2, and group-2: mRS score 3 or more) based on severity. Severity of ischaemic stroke was assessed by the modified Rankin Scale. At the same time 100 age and sex matched controls were taken. Blood samples were collected from both groups and MPV was measured. The results were statistically compared by SPSS 22.0. Statistical significance was accepted at <0.05. Results: The MPV values were more in case group in comparison to control group (10.88±1.23 vs 10.03±1.03; z score-5.31; p value <0.01). Comparison between the 2 groups revealed that MPV value was higher and more significant in group 2 of cases than group 1(10.15± 0.739 in group 1 versus 11.63± 1.04 in group having 2; z score-7.7, p value <0.001). 6 patients of group 2, who could not overcome the situation and died within 24 hours of admission had MPV value of 12.92±0.30. After controlling the risk profiles associated with ischaemic stroke by means of binary logistic regression model, the effect of MPV in ischaemic stroke remained statistically significant (OR: 4.418, 95% CI 2.468-7.908, p= 0.000). ROC curve was 0.85 and standard error 0.039 (95% CI: 0.779-0.932; p<0.01), ...

Low-cost automated cell counting module fabricated using CNC milling and soft lithography

Low-cost automated cell counting module fabricated using CNC milling and soft lithography

Evaluation of the Microscanner C3 for Automated Cell Counting in Cerebrospinal Fluid Analysis

Background: Cerebrospinal fluid (CSF) analysis is essential for diagnosing various disorders affecting the central nervous system (CNS). Traditionally, CSF cell count analysis is performed manually using a Neubauer chamber hemocytometer, which is labor-intensive and prone to subjective interpretation. Methods: In this study, we evaluated the analytical and clinical performance of the Microscanner C3, an automated cell counting system, for CSF analysis using artificially prepared samples and 150 clinical CSF samples. Results: The lowest detectable white blood cell (WBC) count was 3.33 cells/µL, and the lowest detectable red blood cell (RBC) count was 3.67 cells/µL. The coefficients of variation (CV%) for the Microscanner C3 were lower than those for the Neubauer chamber at all cell concentrations. The correlation coefficients (R) between the Microscanner C3 and conventional methods were high: 0.9377 for WBCs and 0.9952 for RBCs when compared with the Neubauer chamber, and 0.8782 for WBCs and 0.9759 for RBCs when compared with the flow cytometer. Additionally, the Microscanner C3 showed good agreement with both the Neubauer chamber and flow cytometer in the Passing–Bablok regression analysis and Bland–Altman analysis for WBC count at all concentrations and RBC count at concentrations of 0–1000 cells/µL. Conclusions: The Microscanner C3 proved to be more sensitive, precise, and consistent compared to the conventional hemocytometer. The new system is also compact, convenient, and cost-effective, making it a valuable option for clinical laboratories.

A-140 Reducing cell count bias with the GloCyte® Automated Cell Counter for CSF: an observational study at Loyola University Medical Center

Abstract Background Accurate STAT cerebrospinal fluid (CSF) cell counts are critical in supporting diagnoses of meningitis, malignancy, demyelinating disease, and hemorrhage. Limitations of automated analyzers to achieve acceptable linearity for the clinically relevant range has maintained manual CSF cell counting as the preferred method. Manual cell counting, performed with a hemocytometer and bright field microscope, is time-consuming, requires specialized skills and depends on human interpretation. This subjectivity inherently introduces the potential for non-random error in the enumeration of both total nucleated cells (TNC) and red blood cells in CSF by manual methods. The purpose of this study was to evaluate and compare the level of bias inherent in manual determination (TNC) in CSF as compared to the GloCyte Automated Cell Counter. Methods Result bias data for CSF specimens processed in the hematology lab at Loyola University Medical Center, a quaternary care 547-bed academic medical center in Maywood, IL, was analyzed for manual cell counting using a Neubauer-improved hemocytometer and GloCyte, an FDA-cleared cell counting device employing fluorescence technology to automate RBC and TNC counts in under 5 minutes, with linearity down to 0 cells/µL. Result bias was determined by defining the “expected result” for both GloCyte and hemocytometer as the initial cell count determined at a 1:5 dilution of a freshly-collected CSF sample and calculating the expected cell count for subsequent serial dilutions of 1:10, 1:20, 1:50, 1:100 for each method. The actual TNC count and the disparity of the actual result from the expected result was recorded as bias. Results Data are summarized below in the Table, and indicate a lower bias for GloCyte compared to manual counts across the range of dilutions. Conclusions This study demonstrates that GloCyte can be implemented as a means of effectively mitigating the reporting bias of CSF TNC counts performed with a Neubauer-improved hemocytometer.

71. Validation of automated cell counter instruments for downstream cytogenetic testing

71. Validation of automated cell counter instruments for downstream cytogenetic testing

#1492 Metabolic switch in CD8+ T cells may influence immune response in chronic antibody-mediated rejection (CAMR)

Abstract Background and Aims CAMR is the main cause of chronic graft injury and subsequent graft loss, but its pathogenesis is still largely unclear. Our group demonstrated an increase in CD8+ T cells infiltrating biopsies from CAMR patients (PMID: 20595199), but their role remains to be defined. Recently, immunometabolism has emerged as a field connecting cell energy metabolism with the immune cell differentiation and functions. Particularly, the permanent aerobic glycolysis of CD8+ lymphocytes induces their transition from naïve to activated state and effector T cells (PMID: 37315709). Thus, the aim of the study was to investigate the molecular mechanisms underlying the development of CAMR by the analysis of gene expression profiles of CD8+ T lymphocytes in conjunction with their metabolic state. Method We enrolled 14 patients with biopsy-proven CAMR and 12 stable transplant recipients with normal graft histology and function (control group). CD8+ T cells were purified by CD8 MicroBeads (Miltenyi Biotec) then counted (TC20™ Automated Cell Counter). Gene expression profiles of CD8+ T lymphocytes isolated from both groups were assessed using Agilent microarrays. Data obtained were statistically and functionally evaluated (IPA software) and validated by qPCR. Oxygen consumption rate (OCR) in CD8+ and CD8- cells was measured by a Resipher oxygen sensing lid (Lucid Scientific Inc., USA). The contribution of mitochondrial respiration to OCR was investigated in isolated CD8+ T cells from CAMR and controls treated with rotenone/antimycin A (Rot/AA), oligomycin (Olygo) or carbonyl cyanide-p-trifluoromethoxyphenylhydrazone (FCCP) to evaluate spare respiratory capacity (SRC), ATP-linked respiration, proton leak and maximal respiration. Results Gene expression profiles of CD8+ T cells showed a characteristic alteration of lipid metabolism in CAMR patients with the triglyceride biosynthesis pathway (p = 2.69E-3) as the most altered pathway and several genes de-regulated all potentially involved in the altered metabolic state of CD8+ T cells. Among others, we validated the increased expression of Nicotinamide Phosphoribosyltransferase (NAMPT) (FC = +2.39), the rate-limiting enzyme of nicotinamide adenine dinucleotide (NAD+) salvage pathway involved in the glycolysis progression, mostly activated in effector T cells. We then decided to evaluate the OCR and the metabolic state of CD8+T cells. Basal OCR was higher in CD8+ rather than CD8- cells, but with different trends among cells isolated from control and CAMR patients. Indeed, CD8+ cells from CAMR patients showed higher OCR compared to control, while OCR was lower in CD8- from CAMR rather than control patients. CD8+ OCR from both CAMR and control patients was mostly dependent on mitochondrial respiration, since it was deeply reduced by Rot/AA treatment. Interestingly, inhibitory response to Oligo treatment by CD8+ cells from CAMR patients was modest, while OCR was noticeably stimulated by FCCP in these cells, suggesting that mitochondrial oxygen uptake was not ATP linked but rather associated with increased uncoupling. These data suggest that CD8+ T cells from CAMR patients are activated effector T cells primarily utilizing aerobic glycolysis. To confirm this hypothesis, we evaluated the gene expression levels of: i) HIF1a, which involves permanent dependence on glycolysis even in the presence of oxygen (Warburg effect); ii) fatty acid transporter CD36, whose levels mimic an energy dependence on the beta oxidation of fatty acids, a process activated in memory T cells. We confirmed an increased expression of HIF1a and a reduced expression of CD36 in CD8+T cells from CAMR patients compared to controls (p<0.05), that confirm the T effector phenotype. Conclusion Our data suggest that CD8+ T cell from CAMR patients showed permanent dependency on glycolysis leading to altered immune phenotype and response, thus indicating novel opportunities to modulate the immune system for therapeutic purposes in kidney transplanted patients and reduce graft rejection.

An automated approach for hemocytometer cell counting based on image-processing method

Evaluating cell viability plays an important role in routine cell culture, toxicology, and drug development. Trypan blue stain is one of the simplest assays that are used to determine the number of viable cells in a cell suspension. The stained cell suspension can then be counted under a microscope using a hemocytometer. Hemocytometers have a fixed volume, making it possible to calculate the concentration of cells in the sample and measure viability. Most of the related studies are conducted using manual counting methods. However, manual counting is time-consuming and laborious. While various automated cell counting devices have been proposed, they tend to be too expensive for widespread deployment. Although low-cost automated cell counting methods presented in the literatures provide high accuracy and cost-effective alternatives, only cells in the field of view of microscope with unknown volume are counted. This will make the concentration inestimable. Accordingly, the present study proposes a low-cost but accurate method for hemocytometer cell counting using an image-processing approach. The accuracy of the proposed method is demonstrated by comparing the cell counting results obtained for human cervical carcinoma (HeLa) cells with the manual counts. It is shown that the proposed approach has a mean absolute percentage error of less than 6.26 % for samples containing a mixture of live and dead cells. Moreover, the proposed system is equipped with a simple and intuitive human machine interface such that the counting task can be performed by individuals with no prior experience in the image-processing field.

A Novel tetrahydrocannabinol (THC) analog, 3,10,10-Trimethyl-1,2,3,4,4a,6,7,8,10,10a-decahydro-9-oxa-5-phenanthrenone (TDP), mitigates the decrease in cell viability in oxidatively-stressed osteosarcoma bone-like cell cultures, UMR 106-01 BSP (UMR cells)

Cannabinoids have been extensively studied in the field of cancer research. Tetrahydrocannabinol (THC) has shown promising results in influencing cellular proliferation and viability when used in association with other cannabinoids. However, not many studies have been done to explore the effect of THC analogs on osteosarcoma cells when used in concert with oxidative stressors like camptothecin (CPT). In this study, it was hypothesized that TDP would mitigate the oxidative effect of CPT on UMR cells. Briefly, synthesis of the novel THC analog, TDP, was attempted via a Knoevenagel condensation and a Diels-Alder reaction, using 1,3-cyclohexanediol dissolved in methanol and citronellal with ethylenediamine diacetic acid (EDDA) at a temperature of 60°C. UMR cells were routinely passaged, counted, plated in six-well culture plates at 480,000 cells/mL, then treated with 10-fold dilutions of TDP. The plates were incubated for 72 hours in a humidified incubator at 37 degrees Celsius with 5% carbon dioxide infusion. At the end of the experiment, the cells were routinely washed with HANKS buffered saline solution (HBSS), then counted using the Luna II Automated Cell Counter. In another experiment, designated cells were treated with different concentrations of CPT alone, while others were co-treated with different concentrations of TDP+CPT, following the protocol above. F test ANOVA was used to compare variances and all values in the results were expressed as means ± SD. The results from the attempted cannabinoid analog synthesis yielded an active novel THC analog, TDP. Serial dilutions treatment of the UMR cells with TDP alone showed its ability to decrease cell viability in a concentration-dependent manner. The treatment of the UMR cells with different concentrations of CPT alone resulted in a decrease in cell viability in a concentration-dependent manner. Co-treatment of the UMR cells with different concentrations of CPT+TDP showed that TDP was able to mitigate the effect of the oxidative stressor (CPT) on the UMR cell cultures. Moreover, the F Test ANOVA showed robust statistical significance (p values <0.05) regarding TDP’s ability to decrease the oxidative effect of CPT on UMR cells. Overall, the outcomes of this study suggest that active forms of THC analogs can be synthesized and tested in concert with oxidative stressors like CPT. This study opens the door to explore the mechanisms by which TDP exerts its effect on oxidatively-stressed cells and how it can possibly be used to prevent or mitigate the effect of oxidative stress on a variety of cells in culture. Moreover, the hopes of suggesting therapeutic uses of THC analogs, upon future mechanistic experimentations, is a goal. La Sierra University Title V Grant. This is the full abstract presented at the American Physiology Summit 2024 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.

Using computer vision libraries to streamline nuclei quantification: A validation study

Valid analyses of cell function-based experiments depend on accuracy and reproducibility of the experimental protocol, often requiring normalization to cell count or other measures. The process of counting cells manually is laborious and susceptible to human error. Although cell counting programs exist, they are not preferred by all users, may be cost-prohibitive, and validation is minimal. Therefore, we aimed to validate an object visualization effciency tool that we developed to provide users with an alternative means of automated cell counting for the very specific, necessary, and widely performed task: quantifying nuclei to assess cell count in images. We hypothesized strong agreement between manual and automated counts. To ensure validation across cell densities, C2C12 myoblasts were seeded at 7.3x104 cells per cm2, proliferated for various timeframes (24, 48, and 72 hours; 6 wells across 2 plates per time point), and fixed with ice-cold methanol for 10 minutes. The nuclei were then stained using the fluorescent DNA stain, 4’,6-diamidino-2-phenylindole (DAPI), and 5 images per well were captured. The number of nuclei in each image were manually quantified by 2 separate raters (MC1 and MC2) using ImageJ, and with our automated program developed using computer vision libraries in Python (AI). To minimize risk for observer bias, AI counts and counts completed by each rater were kept separately until all 3 counts for each image were complete. To validate the program, we assessed interrater reliability between 1) MC1 and MC2 to ensure manual count agreement and 2) the average of MC1 and MC2 (MCavg) with AI to assess agreement between manual and AI counts. Spearman’s Rho (rs) was utilized to assess the strength of the association between counts across all images and separately for each quartile (Q) where Q1 had the fewest and Q4 had the most nuclei by manual counts. Nuclei per image ranged from 44 to 1166. Interrater reliability was nearly perfect between MC1 and MC2 (ICC=0.999) and between MCavg and AI (ICC=0.991). A significant, strong correlation was observed between AI and MCavg (rs=0.998, p<0.001). This strong correlation between persisted regardless of cell density (MCavg vs AI: Q1: rs=.998, p<0.001; Q2: rs=0.999, p<0.001; Q3: rs=1.000, p<0.001; Q4: rs=1.000, p<0.001). The results indicate strong agreement between nuclei counts obtained manually and using our automated object recognition program, which remained consistent regardless of cell quantity, demonstrating the validity of this program. Therefore, the automated object recognition program analyzed in the present study can be considered an accurate, rapid, user-friendly, and inexpensive resource for quantifying nuclei to assess cell count across a range of cell densities. Use of this software will save the user valuable time during the critically important but often time-consuming task of quantifying nuclei. Danielle Levitt's start-up funding through Texas Tech University. This is the full abstract presented at the American Physiology Summit 2024 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.

Association between dietary magnesium intake, inflammation, and neurodegeneration

BackgroundConsistent evidence shows that magnesium (Mg) intake is associated with lower blood pressure (BP), and that lower BP is associated with improved cerebral health. However, recent findings indicate that the positive effect of dietary Mg intake on cerebral health is not mediated by a decrease in BP. As Mg’s anti-inflammatory action is a plausible alternative mechanism, the objective of this study was to investigate the associations between Mg intake and inflammation to determine whether it mediates any neuroprotective effect.MethodsParticipants from the UK Biobank (n = 5775, aged 40–73 years, 54.7% female) were assessed for dietary magnesium using an online food questionnaire, brain and white matter lesion (WML) volumes were segmented with FreeSurfer software, and inflammation markers including high-sensitivity C-reactive protein (hs-CRP), leukocyte, erythrocyte count, and Glycoprotein acetylation (GlycA) were measured using specific laboratory techniques such as immunoturbidimetry, automated cell counting, and nuclear magnetic resonance. Hierarchical linear regression models were performed to investigate the association between dietary Mg, and inflammatory markers and between dietary Mg, brain and WMLs volumes. Mediation analysis was performed to test a possible mediation role of inflammation on the association between dietary Mg and brain and WMLs volumes.ResultsHigher dietary Mg intake was associated with lower inflammation: hs-CRP level (− 0.0497%; 95% confidence interval [CI] − 0.0497%, − 0.0199%) leukocytes count (− 0.0015%; 95%CI − 0.00151%, − 0.0011%), and GlycA (− 0.0519%; 95%CI − 0.1298%, − 0.0129%). Moreover, higher dietary Mg intake was associated with larger grey matter volume (0.010%; 95%CI 0.004%, 0.017%), white matter volume (0.012%; 95%CI 0.003, 0.022) and right hippocampal volume (0.002%; 95%CI 0.0007, –0.0025%). Lower hs-CRP levels mediated the positive association between higher dietary Mg intake and larger grey matter volume.ConclusionsThe anti-inflammatory effects of dietary Mg intake in the general population, appears to mediate its neuroprotective effect.

Optimizing retinal ganglion cell nuclear staining for automated cell counting

The retinal ganglion cells (RGCs) serve as the critical pathway for transmitting visual information from the retina to the brain, yet they can be dramatically impacted by diseases such as glaucoma. When investigating disease processes affecting RGCs in mouse models, accurately quantifying affected cells becomes essential. However, the use of pan RGC markers like RBPMS or THY1 presents challenges in accurate total cell counting. While Brn3a serves as a reliable RGC nuclear marker for automated counting, it fails to encompass all RGC subtypes in mice. To address this limitation and enable precise automated counting, our research endeavors to develop a method for labeling nuclei in all RGC subtypes. Investigating RGC subtypes labeled with the nuclear marker POU6F2 revealed that numerous RGCs unlabeled by Brn3a were, in fact, labeled with POU6F2. We hypothesize that using antibodies against both Brn3a and POU6F2 would label virtually all RGC nuclei in the mouse retina. Our experiments confirmed that staining retinas with both markers resulted in the labeling of all RGCs. Additionally, when using the cell body marker RBPMS known to label all mouse RGCs, all RBPMS-labeled cells also exhibited Brn3a or POU6F2 labeling. This combination of Brn3a and POU6F2 antibodies provides a pan-RGC nuclear stain, facilitating accurate automated counting by labeling cell nuclei in the retina.

CGA mitigates HMGB1 mediated TLR4 activated hepatic cancer in urethane primed mice

BackgroundLiver cancer is fourth leading cause of cancer deaths worldwide. Urethane presents in herbicides, pesticides and food beverages as preservatives upregulate the expression of inflammatory cytokines in liver tissues for the genesis of cancer. It also naturally formed in fermented food products and distilled beverages. Study designBalb/c mice of approx same age and body weight were selected and divided into four groups G-I (PBS treated), G-II (urethane of 500 mg/kgb.w.), G-III (CGA of 50 mg/kg b.w.) and G-IV (urethane & CGA). Treatments were given on alternate day upto eight consecutive weeks and 3-12 month of latency period. Blood sample collected was used for counting of inflammatory immune cells by automated cell counter. Total RNA and protein samples isolated from dissected liver of sacrificed mice were used for molecular analysis at transcriptional and translational level. MethodsGene expression is assessed by RT-PCR at transcriptional level and by western blot at translational level. Immunological effects are evaluated by counting inflammatory immue cells and histopathology is done to examine hepatic tissues injury by carcinogen urethane. Hypothesis and purposeInflammatory cytokines create microenvironment for tumor initiation and development which is mediated through TLR-4 pathway activation via HMGB1 upon carcinogen exposure. Here aimed to find out the role of Chlorogenic acid (CGA) a phenolic compound naturally present in plants as anti-cancerous properties to prevent and cure cancer by acting upon HMGB1 & TLR4 pathway. ResultsAt transcriptional level up-regulated expression of HMGB1, TLR-4 pathway genes, pro-inflammatory cytokines IL-1β, IL-6, TNF-α and IL-18 in urethane treated mice is observed. Western blot results showed up-regulated expression of HMGB1 and NF-κB protein at translational level. CGA treated mice liver showed down-regulated expression of these inflammatory molecules. Increased number of inflammatory immune cells and presence of hepatic tissues injury in histopathological slides is observed in urethane treated mice that is mitigated by CGA. ConclusionCGA is an important anti-cancerous bioactive compound targets inflammatory cytokines and HMGB1 at molecular level to prevent, cure and mitigate liver cancer. Down regulated expression of HMGB1 and TLR-4 activation pathway in cancerous Balb/c mice liver proved its anti-cancerous properties to become a potential future drug.

Abstract 5363: New targeted therapy on SOCS1-related immune-response in triple-negative breast cancer

Abstract Background: Triple-negative breast cancer (TNBC) is heterogenous, which includes basal-like, immunomodulatory, mesenchymal, mesenchymal stem cell and luminal androgen receptor subtypes. In addition to chemotherapy, PARP inhibitors and immune checkpoint inhibitors are effective for TNBC with BRCA-mutated and PD-L1-positive cases. However, overall survival of TNBC remains unfavorable. To explore new targeted therapy in TNBC, we reported previously that SOCS1 (suppressor of cytokine signaling 1), IL-13 and several genes were predicted as interactive targets of miRNA in TNBC from the microarray expression analysis (Agilent Technologies, Inc.) of small RNA extracted from 11 breast cancer specimens (AACR2020, #1709). Thus, we investigated SOCS1-related immune-response under co-culture of TNBC and monocyte cell lines with or without paclitaxel exposure. Materials and Methods: MDA-MB-231, MDA-MB-468, RAW264.7 cell lines were used with co-culture system (Falcon® Cell Culture Inserts, Corning, NY, USA). SOCS1-expression vector and siSOCS1 were transfected into TNBC cell lines with polyethylenimine (PEI Max; Polysciences, Inc., Warrington, PA). RAW264.7 was activated with lipopolysaccaride (5ug/ml) and IFNγ (10ng/ml) for 2 days before co-culture. Relative cell viability of TNBC cell lines with vehicle control (DMSO) or paclitaxel exposure was measured with WST-8 (Cell Counting Kit-8; Dojindo, Japan) using TC20 Automated cell counter (Bio-Rad Laboratories, Inc., Japan) after 2 days’ co-culture of TNBC and RAW264.7 cells under several conditions of SOCS1 overexpression and/or RAW264.7 activation. Results: First, paclitaxel inhibited cell growth of MDA-MB-231 and MDA-MB-468 in a dose-dependent manner (at 1nM~100nM). Second, at paclitaxel exposure of 10 nM and 50 nM, relative cell viability of MDA-MB-468 decreased with co-culture of activated RAW264.7. The tendency was enhanced with SOCS1 overexpression in breast cancer cell lines. Similar results were observed in MDA-MB-231 cells. Discussions: SOCS1 is well known as a negative regulator of JAK-STAT pathway. SOCS1 is also related to suppression of T cell activation and modulation of M1 macrophage. At AACR2020, we reported that SOCS1 gene amplification in cancer tissues after neoadjuvant chemotherapy was relatively lower in 6 cases with pathologically partial or complete response than in 11 cases with no pathological response. In vitro, paclitaxel-toxicity in TNBC cells was augmented by activated monocyte (M1 macrophage) and more sensitized with SOCS1 overexpression in TNBC cells. These results suggest that proinflammatory cytokines from M1 macrophage influence cell viability of TNBC. Conclusion: SOCS1 is a promising molecular target to modulate immune-response in TNBC. Citation Format: Shigeru Imoto, Tomohiro Chiba, Hirohito Seki, Yoshiharu Ishizaka, Ai Tsuchiya, Tomoko Kitaoka. New targeted therapy on SOCS1-related immune-response in triple-negative breast cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 5363.

Correlation of Platelet Indices in Patients With Type 2 Diabetes Mellitus and Associated Microvascular Complications: A Hospital-Based, Prospective, Case-Control Study.

Background Diabetic patients exhibit increased platelet activity. Insulin inhibits the activation of platelets. Therefore, a relative or absolute deficiency of insulin would increase platelet reactivity. Theyounger (larger) platelets are also more metabolically and enzymatically active.If detected early, microvascular complications could alert us regarding the possible macrovascular complications.Thus, the aims and objectives of the present study were to determine platelet indices in patients with type 2 diabetes mellitus withcontrols (non-diabetics) and to find an association of platelet indices with microvascular complications. Material & methods In this prospective case-control study conducted from 2021 to 2022 (2 years), a total number of 200 subjects were taken and were divided into two groups of 100 each,cases (I) andcontrols (II). The cases included patients of diabetes mellitus (DM) ofa duration of more than 5 years, which were further divided into two groups of 50 each, IA and IB. Group IA consisted of patients with diabetes mellitus of a duration of more than five years with at least one microvascular complication and group IB wasdiabetics of more than five years duration without any microvascular complications, which includes diabetic retinopathy, diabetic nephropathy, and diabetic neuropathy. An automated cell counter (Thermo Fisher Scientific, Waltham, MA, US) provided hemoglobin values along with the platelet count and platelet indices, i.e. mean platelet volume (MPV), platelet large cell ratio (P-LCR), and platelet distribution width (PDW). Results The present study consisted of 200 subjects divided into 2 groups of 100 each, cases (I) andcontrols (II). The average MPV (9.4-12.3 femtolitre) in diabetics was 12.089±1.450 fLas compared to the controls where it was 9.464±1.424 fL with a statistically significant p-value of 0.001. PDWamong the cases was 16.868±2.352 fL while in controls, it was 12.753±10.559 fL (p=0.001). The mean P-LCR was 34.975±8.056% amongthe cases, in comparison to the mean P-LCR amongthe controls, which was 26.031±7.004 (p=0.001). In this study, the MPV, PDW, and P-LCR were significantly raised in individuals having diabetes with microvascular complications when compared with patients without complications. The mean MPV in diabetics with complications was 12.5960±0.95660 fL and in those without complications was 11.5820±1.67609 fL (with a p-value of P = 2×10-3)which is statistically significant. Similar results were obtained in cases of PDW and P-LCR. The mean PDW in diabetics with complications was 17.1140±2.58228 fL and without complications was 15.6220±2.10532 fL ((with a p-value of P = 2×10-3)). The mean P-LCR in diabetics with microvascular complications was 35.408±3.5490% and without complications was 33.542±4.8694% (with a p-value of P = 3.1×10-3). Conclusion Based on the findings of the present study, there is a statistical correlation between type 2 diabetes and variations in platelet indices, resulting in the associated microvascular complications. Higher MPV, PDW, and P-LCR values suggest that these parameters are more reliable predictors of early vascular complications in individuals with type 2 diabetes mellitus and can be utilized as an easy-to-use, low-cost method. They are a readily available, economical, practical, noninvasive, and simple-to-understand approach for assessing platelet dysfunction, which in turn helps anticipate the existence of microvascular complications.

Three Milliliters of Peripheral Blood Is Sufficient for Preparing Liquid Platelet-Rich Fibrin (PRF): An In Vitro Study.

Platelet-rich fibrin (PRF) has assumed an important role in supporting tissue regeneration in different fields. To date, the standard protocol for liquid PRF requires at least 10 mL of peripheral blood. The present study aimed to analyze the composition, growth factor release, and effects on the cell proliferation of PRF samples produced using 3 mL vs. 10 mL of peripheral blood in vitro. Peripheral venous blood from six healthy donors was used to prepare liquid PRF using either 3 mL or 10 mL tubes. Three different centrifugation protocols were used according to the low-speed centrifugation concept. The cellular distribution was evaluated using immunohistology and automated cell count. ELISA was used to determine the release of different growth factors (EGF, TGF-β1, and PDGF) and interleukin 8 at different time points. Primary human osteoblasts (pOBs) were cultivated for 7 days using PRF-conditioned media acquired from either 3 mL or 10 mL of peripheral blood. The results showed that 3 mL of peripheral blood is sufficient to produce a liquid PRF concentrate similar to that acquired when using 10 mL blood. The concentrations of platelets and leukocytes were comparable regardless of the initial blood volume (3 mL vs. 10 mL). Similarly, the release of growth factors (EGF, TGF-β1, and PDGF) and interleukin 8 was often comparable in both groups over 7 days. The cultivation of pOBs using PRF-conditioned media showed a similar proliferation rate regardless of the initial blood volume. This proliferation rate was also similar to that of pOBs treated with 20% FBS-conditioned media. These findings validated the use of 3 mL of peripheral blood to generate liquid PRF matrices according to the low-speed centrifugation concept, which may open new application fields for research purposes such as in vivo experiments and clinical applications such as pediatric surgery.

Antibiograms, multidrug resistance, and milk-related parameters of bacteria isolated from milk of dairy cattle in Phatthalung, Thailand.

Milk, a nutritious food, is widely consumed in human diets; however, contamination by micro-organisms can negatively impact its quality and consumer health. Contamination by micro-organisms affects the quality of milk, which can affect the quality of the milk production chain. This study aimed to determine the changes in milk composition and antibiotic susceptibility related to bacteria isolated from dairy cow milk. Raw milk samples were collected from 72 dairy cows. All milk samples were subjected to the California Mastitis Test (CMT) for CMT score determination. We also investigated milk composition, bacterial culture (BC), and antibiotic susceptibility. About 47.22% and 30.56% of dairy cattle were positive for CMT + BC and automatic somatic cell count (ASCC) + BC, respectively. Fecal appearance and animal age were found to be risk factors for ASCC + BC positivity in dairy cattle. Bacteria were found in approximately 76% of milk samples, with the most common isolated species being α-hemolytic Streptococcus spp., coagulase-negative Staphylococcus spp., and Escherichia coli. Of these, 70% are resistant to at least one antibiotic. Variation in the multidrug resistance pattern was high in Klebsiella spp. Fecal appearance and animal age are risk factors for ASCC + BC positivity in dairy cattle. This study identified antibiotic and multidrug resistance patterns, which require comprehensive studies and effective surveillance systems. Remarkably, the use of antibiotic therapy in dairy cattle should be monitored.

Neoadjuvant Radiochemotherapy Alters the Immune and Metabolic Microenvironment in Oral Cancer-Analyses of CD68, CD163, TGF-β1, GLUT-1 and HIF-1α Expressions.

The first-line treatment of oral squamous cell carcinoma (OSCC) involves surgical tumor resection, followed by adjuvant radio(chemo)therapy (R(C)T) in advanced cases. Neoadjuvant radio- and/or chemotherapy has failed to show improved survival in OSCC. Recently, neoadjuvant immunotherapy has shown promising therapeutic efficacy in phase 2 trials. In this context, the addition of radio- and chemotherapy is being reconsidered. Therefore, a better understanding of the tumor-biologic effects of neoadjuvant RCT would be beneficial. The current study was conducted on a retrospective cohort of patients who received neoadjuvant RCT for the treatment of oral cancer. The aim of the study was to evaluate the influence of neoadjuvant RCT on the immunological tumor microenvironment (TME) and hypoxic and glucose metabolisms. A cohort of 45 OSSC tissue samples from patients were analyzed before and after RCT (total 50.4 Gy; 1.8 Gy 5× weekly; Cisplatin + 5-Fluorouracil). Immunohistochemistry for CD68, CD163, TGF-β, GLUT-1 and HIF-1α was performed using tissue microarrays and automated cell counting. Differences in expression before and after RCT and associations with histomorphological parameters (T-status, N-status) were assessed using the Mann-Whitney U test. Tumor resection specimens after neoadjuvant RCT showed a significant decrease in CD68 infiltration and a significant increase in CD163 cell density. The CD68/CD163 ratio was significantly lower after RCT, indicating a shift toward M2 polarization. The GLUT-1 and HIF-1α expressions were significantly lower after RCT. Larger tumors (T3/T4) showed a lower GLUT-1 expression. Other biomarkers were not associated with the T- and N-status. Neoadjuvant RCT with 50.4 Gy induced a shift toward the M2 polarization of macrophages in the TME. This change in immune composition is not favorable and may be prognostically negative and counteract immunotherapeutic approaches. In addition, the decreased expressions in GLUT-1 and HIF-1α indicate reductions in the glucose metabolism and hypoxic energy metabolism in response to "high dose" neoadjuvant RCT, which may be therapeutically desirable.

Apparent prevalence of hemotropic mycoplasma in dairy calves and replacement heifers on Michigan farms

The bovine hemoplasmas include Mycoplasma wenyonii and Candidatus Mycoplasma hemobos which are increasingly recognized as infecting cattle throughout the world. Infection with hemotropic mycoplasma has been reported to be widespread in mature dairy cows, but little is known about prevalence in calves and heifers. The objective of this study was to investigate the prevalence and dynamics of infection with M. wenyonii and C.M. hemobos infections in calves and replacement heifers on Michigan dairy farms and assess potential associations between infection status and hematological values. The study was designed as a prospective cross-sectional study with a longitudinal component. A convenience sample of 11 farms agreed to participate and were visited twice between March and September 2022. During the first farm visit, researchers collected blood samples from up to 94 animals per farm distributed among newborn and pre-weaned calves (n ≤ 31), weaned calves (n = 21), pre-breeding heifers (n = 21), and pregnant heifers (n = 21). During the first visit, blood samples (n = 174) were also collected from a convenience sample of mature cows to confirm the herd infection status. The same calves and heifers were sampled again about 95 d (±3.0) later. During the first visit, blood samples were collected from 797 calves and replacement heifers, while 675 samples were collected during the second visit due to inability to locate some animals. Detection of M. wenyonii and C. M. hemobos were based on results of real time PCR. The hematocrit was determined using microcentrifugation and the concentration of leukocytes using an automated cell counter. In all herds, most mature cows that were sampled tested positive for infection. The within herd apparent prevalence of hemoplasma in calves and replacement heifers was 100% for both M. wenyonii and C. M. hemobos. The apparent prevalence of hemoplasma in youngstock was associated with age. In calves that were 1 to 6 mo old, the prevalence of infection was 6-8% but sharply increased to 31% by 8 mo of age. In older animals, the prevalence remained high, and was almost 100% in animals greater than 17 mo of age. Based on calves and heifers sampled twice, the cumulative incidence varied widely among herds ranging from 3.7% to 96.0% and increased with age of animals. There was no difference in hematocrit or number of lymphocytes, monocytes, neutrophils, or total leukocytes based on infection status. The number of eosinophils was greater in infected animals. This is the first study to report the prevalence of hemoplasmas in calves and replacement heifers in the US It indicates that young calves can be infected with hemoplasmas, but the rate of infection is low. The likelihood of infection increases as animals age, with a notable rise in the proportion of infected heifers occurring by 8 mo old and the prevalence eventually reaching nearly 100% of infection in older animals. Once infected, heifers appear to remain chronic carriers. Hemoplasma infection alone does not usually lead to the development of clinical signs and most of the animals remain apparently healthy.

Automatic identification and analysis of cells using digital holographic microscopy and Sobel segmentation

Counting and analyzing of blood cells, as well as their subcellular structures, are indispensable for understanding biological processes, studying cell functions, and diagnosing diseases. In this paper, we combine digital holographic microscopy with cell segmentation guided by the Sobel operator using Dice coefficients for automatic threshold selection and aimed to automatic counting and analysis of blood cells in flow and different kinds of cells in the static state. We demonstrate the proposed method with automatic counting and analyzing rat red blood cells (RBCS) flowing in a microfluidic device, extracting quickly and accurately the size, concentration, and dry mass of the sample in a label-free manner. The proposed technique was also demonstrated for automatic segmentation of different cell types, such as COS7 and Siha. This method can help us in blood inspection, providing pathological information in disease diagnosis and treatment.

Automated counting of Drosophila imaginal disc cell nuclei.

Automated image quantification workflows have dramatically improved over the past decade, enriching image analysis and enhancing the ability to achieve statistical power. These analyses have proved especially useful for studies in organisms such as Drosophila melanogaster, where it is relatively simple to obtain high sample numbers for downstream analyses. However, the developing wing, an intensively utilized structure in developmental biology, has eluded efficient cell counting workflows due to its highly dense cellular population. Here, we present efficient automated cell counting workflows capable of quantifying cells in the developing wing. Our workflows can count the total number of cells or count cells in clones labeled with a fluorescent nuclear marker in imaginal discs. Moreover, by training a machine-learning algorithm we have developed a workflow capable of segmenting and counting twin-spot labeled nuclei, a challenging problem requiring distinguishing heterozygous and homozygous cells in a background of regionally varying intensity. Our workflows could potentially be applied to any tissue with high cellular density, as they are structure-agnostic, and only require a nuclear label to segment and count cells.