Healthy Control Individuals Research Articles

Histologic and Histomorphometric Comparative Study of Oral Lichen Planus Versus Oral Lichenoid Reaction.

Oral lichen planus (OLP) is a T-cell-mediated chronic inflammatory disease classified as an oral potentially malignant disorder (OPMD) and increased transformation risk to oral cancer. Oral lichenoid reactions (OLRs) share the clinical manifestations of OLP. This study aimed to determine histomorphometric changes in OLPs and OLRs in comparison to the healthy control, which helps to plan for the establishment of diagnostic criteria. This cross-sectional prospective study was conducted on a total of 75 tissue-embedded paraffin-block samples, including OLPs (n = 25), OLR cases (n = 25), and healthy control individuals (n = 25). The study groups were compared by chi-squared, Fisher's exact, and one-way ANOVA tests. A p-value less than 0.05 was considered statistically significant. Comparison of the nuclear area and cellular area showed a statistically significant difference between study groups in basal and parabasal layer (P < 0.05). Comparison of the nuclear-to-cytoplasm ratio showed a statistically significant difference between study groups in basal (P < 0.05) but not in the parabasal region (P = 0.681). We showed a significant difference in the nuclear and cellular area, nuclear-to-cytoplasm ratio between OLPs and OLRs, and healthy controls, but there was no statistically significant difference between OLPs and OLRs. Thus, these parameters cannot be applied to differentiate diagnoses between OLPs and OLRs.

Diagnostic Performance of Cortical Lesions and the Central Vein Sign in Multiple Sclerosis

Multiple sclerosis (MS) misdiagnosis remains an important issue in clinical practice. To quantify the performance of cortical lesions (CLs) and central vein sign (CVS) in distinguishing MS from other conditions showing brain lesions on magnetic resonance imaging (MRI). This was a retrospective, cross-sectional multicenter study, with clinical and MRI data acquired between January 2010 and May 2020. Centralized MRI analysis was conducted between July 2020 and December 2022 by 2 raters blinded to participants' diagnosis. Participants were recruited from 14 European centers and from a multicenter pan-European cohort. Eligible participants had a diagnosis of MS, clinically isolated syndrome (CIS), or non-MS conditions; availability of a brain 3-T MRI scan with at least 1 sequence suitable for CL and CVS assessment; presence of T2-hyperintense white matter lesions (WMLs). A total of 1051 individuals were included with either MS/CIS (n = 599; 386 [64.4%] female; mean [SD] age, 41.5 [12.3] years) or non-MS conditions (including other neuroinflammatory disorders, cerebrovascular disease, migraine, and incidental WMLs in healthy control individuals; n = 452; 302 [66.8%] female; mean [SD] age, 49.2 [14.5] years). Five individuals were excluded due to missing clinical or demographic information (n = 3) or unclear diagnosis (n = 2). MS/CIS vs non-MS conditions. Area under the receiver operating characteristic curves (AUCs) were used to explore the diagnostic performance of CLs and the CVS in isolation and in combination; sensitivity, specificity, and accuracy were calculated for various cutoffs. The diagnostic importance of CLs and CVS compared to conventional MRI features (ie, presence of infratentorial, periventricular, and juxtacortical WMLs) was ranked with a random forest model. The presence of CLs and the previously proposed 40% CVS rule had a sensitivity, specificity, and accuracy for MS of 59.0% (95% CI, 55.1-62.8), 93.6% (95% CI, 91.4-95.6), and 73.9% (95% CI, 71.6-76.3) and 78.7% (95% CI, 75.5-82.0), 86.0% (95% CI, 82.1-89.5), and 81.5% (95% CI, 78.9-83.7), respectively. The diagnostic performance of the CVS (AUC, 0.89 [95% CI, 0.86-0.91]) was superior to that of CLs (AUC, 0.77 [95% CI, 0.75-0.80]; P < .001), and was increased when combining the 2 imaging markers (AUC, 0.92 [95% CI, 0.90-0.94]; P = .04); in the random forest model, both CVS and CLs outperformed the presence of infratentorial, periventricular, and juxtacortical WMLs in supporting MS differential diagnosis. The findings in this study suggest that CVS and CLs may be valuable tools to increase the accuracy of MS diagnosis.

Multi-parametric radiomics of conventional T1 weighted and susceptibility-weighted imaging for differential diagnosis of idiopathic Parkinson’s disease and multiple system atrophy

ObjectivesThis study aims to investigate the potential of radiomics with multiple parameters from conventional T1 weighted imaging (T1WI) and susceptibility weighted imaging (SWI) in distinguishing between idiopathic Parkinson’s disease (PD) and multiple system atrophy (MSA).MethodsA total of 201 participants, including 57 patients with PD, 74 with MSA, and 70 healthy control (HCs) individuals, underwent T1WI and SWI scans. From the 12 subcortical nuclei (e.g. red nucleus, substantia nigra, subthalamic nucleus, putamen, globus pallidus, and caudate nucleus), 2640 radiomic features were extracted from both T1WI and SWI scans. Three classification models - logistic regression (LR), support vector machine (SVM), and light gradient boosting machine (LGBM) - were used to distinguish between MSA and PD, as well as among MSA, PD, and HC. These classifications were based on features extracted from T1WI, SWI, and a combination of T1WI and SWI. Five-fold cross-validation was used to evaluate the performance of the models with metrics such as sensitivity, specificity, accuracy, and area under the receiver operating curve (AUC). During each fold, the ANOVA and least absolute shrinkage and selection operator (LASSO) methods were used to identify the most relevant subset of features for the model training process.ResultsThe LGBM model trained by the features combination of T1WI and SWI exhibited the most outstanding differential performance in both the three-class classification task of MSA vs. PD vs. HC and the binary classification task of MSA vs. PD, with an accuracy of 0.814 and 0.854, and an AUC of 0.904 and 0.881, respectively. The texture-based differences (GLCM) of the SN and the shape-based differences of the GP were highly effective in discriminating between the three classes and two classes, respectively.ConclusionsRadiomic features combining T1WI and SWI can achieve a satisfactory differential diagnosis for PD, MSA, and HC groups, as well as for PD and MSA groups, thus providing a useful tool for clinical decision-making based on routine MRI sequences.

Soluble Receptor Activator of Nuclear Factor Ligand and Osteoprotegerin Levels in Gingival Crevicular Fluid among Cigarette Smokers and Non-smokers with and without Periodontitis.

This study aimed to measure and compare the levels of soluble receptor activator of nuclear factor ligand (RANKL) and osteoprotegerin (OPG) in the gingival crevicular fluid (GCF), as well as their ratio, in smokers and nonsmokers with periodontitis. Gingival crevicular fluid samples were collected using PerioPaper strips, from 150 individuals, who were categorized into three groups: current smokers with periodontitis stage III grades C and B (n = 50), nonsmokers with periodontitis stages I and II grade A (n = 50), and control healthy individuals (n = 50). The concentrations (pg/mL) of sRANKL and OPG in the GCF were measured by enzyme-linked immunesorbent assays (ELISA). The smokers' group exhibited the highest sRANKL (pg/mL) concentration as a subsequent lead to a higher sRANKL/OPG ratio. The healthy control group exhibited higher OPG and lower sRANKL concentration, subsequently, the sRANKL/OPG ratio was reduced compared with the other study groups. However, there was no statistical significance of sRANKL and its relative ratio between periodontitis stage III grades C and B, periodontitis stages I and II grade A, and healthy control individuals. There was a statistically significant positive moderate correlation between smoking duration (years) and the sRANKL (pg/mL) concentration and a statistically significant negative moderate correlation between OPG (pg/mL) concentration and cigarettes smoked per day. As a result, compared to the other research groups, smokers with periodontitis stage III grades C and B had greater GCF concentrations of sRANKL, lower OPG, and a higher sRANKL/OPG ratio. The difference in OPG (pg/mL) level was statistically significant. However, there was no statistically significant difference in sRANKL (pg/mL) or its relative ratio, sRANKL/OPG, across the groups. A characteristic that sets periodontitis apart is alveolar bone loss. Resorption is induced by RANKL and inhibited by OPG, resulting in a relative ratio. In light of this, the levels of RANKL and OPG may be helpful indicators for monitoring the activity of periodontal disease in both smokers and nonsmokers with and without periodontitis.

Composition and diversity analysis of the TCR CDR3 repertoire in patients with idiopathic orbital inflammation using high-throughput sequencing

BackgroundIdiopathic orbital inflammation (IOI) is a nonspecific orbital inflammatory disease with the third highest prevalence among orbital diseases, and its pathogenesis is associated with T-cell-mediated immune responses. This study aimed to investigate the differences in T-cell receptor (TCR) expression between IOI patients and healthy subjects by high-throughput sequencing and to characterize TCR expression in patients with IOI and with respect to glucocorticoid response.MethodsA total of 19 subjects were enrolled in this study and were divided into the idiopathic orbital inflammation group (IOI group, n = 13) and the healthy control group (HC group, n = 6), and within the IOI group were further divided into the glucocorticoid therapy sensitive group (IOI(EF) group, n = 6) and the glucocorticoid therapy ineffective group (IOI(IN) group, n = 7) based on the degree of effectiveness to glucocorticoid therapy. High-throughput TCR sequencing was performed on peripheral blood mononuclear cells of IOI patients and healthy control individuals using 5’ RACE technology combined with Unique Identifier (UID) digital tag correction technology. The TCR CDR3 region diversity, sharing patterns, and differential sequences between the IOI and HC groups, and between the IOI(EF) and IOI(IN) groups were analyzed.ResultsIt was found that the diversity of TCR CDR3 in the IOI group was significantly lower than that in the HC group, and the frequency of V gene use was significantly different between groups. The diversity of TCR CDR3 in patients in the IOI(EF) group was significantly lower than that in patients in the IOI(IN) group, and the frequency of V and J gene use was significantly different between the IOI(EF) group and the IOI(IN) group. Additionally, we found 133 nucleotide sequences shared in all IOI samples and screened two sequences with higher expression from them.ConclusionsOur results suggested that abnormal clonal expansion of specific T-cells exists in IOI patients and that TCR diversity may had an impact on the prognosis of glucocorticoid-treated IOI. This study may contribute to a better understanding of the immune status of IOI and provide new insights for T-cell -associated IOI pathogenesis, diagnosis and treatment prediction.

Alzheimer’s disease phenotypes in human induced pluripotent stem cell‐based models of Down syndrome

AbstractBackgroundBy age 40, all people with Down syndrome (DS) develop Alzheimer’s disease (AD) brain neuropathology, including Aβ plaques and neurofibrillary tangles of phosphorylated microtubule associated protein tau (MAPT), and most go on to develop early‐onset dementia. People with Down syndrome (DS) have triplication of chromosome 21 (trisomy 21) and they develop AD neuropathology due to triplication of the amyloid precursor protein gene (APP) which resides on chromosome 21. Here, we developed and characterized human induced pluripotent stem cell (hiPSC)‐derived neurons, astrocytes, microglia, and cerebral organoid (CO) models of DS and familial AD and used them to evaluate the AD‐related pathological mechanisms caused by trisomy 21.MethodWe obtained hiPSC lines derived from individuals with DS, healthy control individuals (HC), and individuals with familial AD, including duplication of APP on one chromosome (APPdup) or carrying the London mutation in APP (APPV717I). All donors had the apolipoprotein E (APOE) ε3/ε3 genotype. We generated hiPSC‐derived neurons, astrocytes, microglia, and COs using validated techniques. We evaluated the hiPSC‐derived neural cells and COs at different ages for AD‐related neuropathology, neuroinflammation, and neurodegeneration by performing RNA sequencing, immunohistochemistry, immunoblotting, and enzyme‐linked immunosorbent assay.ResultAD‐related size phenotypes characteristic of neurodegeneration were observed in DS hiPSC‐based models relative to HC models. Dysregulated gene and protein expression of APP, MAPT, and APOE, in addition to chromosome 21 genes, were also observed in DS hiPSC‐based models. In particular, neuroinflammatory markers, especially those previously shown in APOE‐related pathways, were also increased in DS models.ConclusionWe characterized new hiPSC‐based models of DS and familial AD which will be useful for identifying commonalities in disease mechanisms as well as for dissecting the roles of chromosome 21 genes other than APP. We identified several AD‐related phenotypes in hiPSC‐based DS related to neuropathology, neuroinflammation, and neurodegeneration. We expect that these hiPSC‐based models will be useful for testing therapeutics in the future to address AD in people with DS, for which there is no cure.

Serum proteomic profiling reveals potential inflammatory biomarkers in long-COVID patients: a comparative analysis with healthy controls.

The highly transmissible severe acute respiratory syndrome-Coronavirus-2 was responsible for the 2020 COVID-19 pandemic. COVID-19 mostly affects the respiratory system; however, this infection also affects several other organs. In addition, the sequelae of this disease affect patients for several months after recovery, resulting in long-COVID syndrome. In order to characterize the differences between healthy control individuals and long-COVID patients, proteomic profiling of the serum of both groups was performed by mass spectrometry. The obtained data were analyzed with multivariate and univariate statistical analyses. Initially, performing a partial latent square discriminant analysis (PLS-DA) made it possible to identify thirty-three proteins of interest, which were then subjected to a receiver operating characteristic (ROC) analysis. Four proteins were identified as potential stand-alone biomarkers: Sirtuin 1, Natriuretic Peptide B, Hemopexin, and Arachidonate 5-Lipoxygenase. Moreover, a multivariate ROC analysis identified a panel of biomarkers composed of Natriuretic Peptide B, Anterior Gradient 2 Protein, Adiponectin, Endothelin Converting Enzyme 1, Interferon Induced Transmembrane Protein 1, Mannose Binding Lectin 2, Prostaglandin-Endoperoxide Synthase 2, Pirin, Prostaglandin Reductase 1 and Cystatin C. The identified biomarkers are associated with inflammatory processes, corroborating literature evidence that long-COVID patients develop an inflammatory state that damages many tissues. Nevertheless, these data should be validated in a larger cohort.

Clinical Manifestations.

Neurodegenerative pathologies, including tau depositions, have been implicated in late-onset depression (LOD), while there is a lack of in-vivo evidence for the neuropathological basis of late-onset bipolar disorder (LOBD) despite postmortem findings of cerebral tau accumulations. The current study aimed to assess tau pathologies in LOBD and LOD patients positron emission tomography (PET) with 18F-florzolotau, a radioligand for Alzheimer's disease (AD) and non-AD tau fibrils. We studied LOBD and LOD patients who developed the first episode of mania or depression after age 45. Twenty-one patients with LOBD (68.8 ± 9.6 years old; 11 females), 15 patients with LOD (73.0 ± 5.8 years old; 11 females), and 39 age-matched healthy controls (HCs) (67.1 ± 9.1 years old; 19 females) underwent tau and amyloid PET scans with 18F-florzolotau and 11C-PiB, respectively. Amyloid positivity was determined by a visual read of 11C-PiB-PET images, and tau depositions were assessed by calculating standardized uptake value ratios (SUVRs) in 52 regions covering the cerebral grey matter and basal ganglia to the optimized reference tissue. All SUVRs were corrected for age and sex and converted to Z-score relative to HCs. The positivity and topology of tau pathologies were determined according to the presence of a region with a Z-score ≥ 2.0. 18F-florzolotau-PET positivity was observed in 13 LOBD (62%), 7 LOD (47%), and 11 HC (28%) subjects, whereas 4 LOBD, 4 LOD, and no HC individuals were 11C-PiB-PET-positive. A significant difference in the prevalence of tau pathologies was only found between LOBD and HCs (P = 0.043, corrected for multiple comparisons). Tau topologies in the cases with 11C-PiB-PET-positive AD pathologies consisted of predominant frontal (1 LOBD and 3 LODs), lateral temporal (3 LOBDs and 1 LOD), and posterior (1 LOBD) accumulations. Meanwhile, tau pathologies in 11C-PiB-negative cases showed predominant frontal (2 LOBDs and 1 LOD), temporal (1 LOBD and 1 LOD), posterior (4 LOBDs and 1 LOD), and basal ganglia (2 LOBDs) localizations. Our findings suggest that a significant subset of LOBD patients harbor tau lesions linked to various AD subtypes and non-AD tauopathies indicative of distinct early-stage frontotemporal lobar degeneration subcategories.

Working Memory Classification Enhancement of EEG Activity in Dementia: A Comparative Study

The purpose of the current investigation is to distinguish between working memory ( ) in five patients with vascular dementia ( ), fifteen post-stroke patients with mild cognitive impairment ( ), and fifteen healthy control individuals ( ) based on background electroencephalography (EEG) activity. The elimination of EEG artifacts using wavelet (WT) pre-processing denoising is demonstrated in this study. In the current study, spectral entropy ( ), permutation entropy ( ), and approximation entropy ( ) were all explored. To improve the classification using the k-nearest neighbors ( NN) classifier scheme, a comparative study of using fuzzy neighbourhood preserving analysis with -decomposition ( ) as a dimensionality reduction technique and the improved binary gravitation search ( ) optimization algorithm as a channel selection method has been conducted. The NN classification accuracy was increased from 86.67% to 88.09% and 90.52% using the dimensionality reduction technique and the channel selection algorithm, respectively. According to the findings, reliably enhances discrimination of , , and participants. Therefore, WT, entropy features, IBGSA and NN classifiers provide a valid dementia index for looking at EEG background activity in patients with and .

Associations among the Duodenal Ecosystem, Gut Microbiota, and Nutrient Intake in Functional Dyspepsia.

: Functional dyspepsia (FD) has long been regarded as a syndrome because its pathophysiology is multifactorial. However, recent reports have provided evidence that changes in the duodenal ecosystem may be the key. This study aimed to identify several gastrointestinal factors and biomarkers associated with FD, specifically changes in the duodenal ecosystem that may be key to understanding its pathophysiology. : In this case-control study, 28 participants (12 with FD and 16 healthy control individuals) were assessed for dietary nutrients, gastrointestinal symptom severity, immunological status of the duodenal mucosa, and microbiome composition from oral, duodenal, and fecal samples. Integrated data were analyzed using immunohistochemistry, real-time polymerase chain reaction, 16S rRNA sequencing, and network analysis. : Duodenal mucosal inflammation and impaired expression of tight junction proteins were confirmed in patients with FD. The relative abundance of duodenal Streptococcus (p=0.014) and reductions in stool Butyricicoccus (p=0.047) were confirmed. These changes in the gut microbiota were both correlated with symptom severity. Changes in dietary micronutrients, such as higher intake of valine, were associated with improved intestinal barrier function and microbiota. : This study emphasizes the relationships among dietary nutrition, oral and gut microbiota, symptoms of FD, impaired function of the duodenal barrier, and inflammation. Assessing low-grade inflammation or increased permeability in the duodenal mucosa, along with changes in the abundance of stool Butyricicoccus, is anticipated to serve as effective biomarkers for enhancing the objectivity of FD diagnosis and monitoring.

High Dimensional Single-Cell Profiling Identifies Immune and Metabolic Heterogeneity in Immune Thrombocytopenia

Introduction Primary immune thrombocytopenia (ITP) is an autoimmune disease characterized by excessive platelet destruction and decreased platelet production. Ongoing efforts to characterize the pathophysiology of ITP have yielded certain insights, but the details of the immune and metabolic characteristics of the disease remain elusive. Tacrolimus has been demonstrated to be a promising therapeutic option for ITP patients in our previous report ( 63rd ASH, 2021), but the mechanisms are incompletely understood. Methods A total of 15 patients diagnosed with ITP and 8 healthy control (HC) individuals were enrolled between March and July 2023 in this study. Peripheral blood from ITP patients was collected at two time points: when admitted to the cohort without previous tacrolimus treatment and when receiving tacrolimus treatment for at least 28 days. We employed mass cytometry (cytometry by time-of-flight, CyTOF) with a panel of 27 phenotypic, 7 metabolic, and 8 functional markers to explore the immune landscape, metabolic characteristics, and phosphorylated signaling states at single-cell resolution. Additionally, a 10x Genomics platform was applied to perform single-cell RNA sequencing (scRNA-seq). Primary findings from our transcriptomic and proteomic analyses were further confirmed and extended by flow cytometry and RT-PCR. Results Using t-distributed stochastic neighbor embedding, a CyTOF panel of 42 markers partitioned the 32 clusters into 7 subsets (CD4+ T cells, CD8+ T cells, B cells, NK cells, monocytes/macrophages, dendritic cells, and γδ T cells). Quantification of immune cell distribution across cell clusters showed a relatively higher level of CD8+ T cells and lower CD4+:CD8+ T-cell ratios in the patients with ITP than in the HC individuals. Additionally, the proportion of NK cells was significantly lower in patients than in control individuals. With further investigation of CD4+ and CD8+ T cells, we observed a decrease of naïve T cells and Treg cells and skewed accumulation of Th1 cells and Tc1 cells in patients with ITP relative to HC individuals. We further investigated the metabolic and functional status of T cells with CyTOF. One-carbon metabolism (MTHFD2 and SHMT2) was found to be elevated in Th1 cells from ITP patients compared with those from HC individuals. Based on CyTOF analysis as well as flow cytometry validation, a subgroup of Th1 cells with elevated ERK1/2 phosphorylation and MTHFD2 expression was speculated to be associated with the pathogenesis of ITP. A longitudinal study demonstrated that the dysregulated immune subset exhibited HC-like expression after treatment with tacrolimus. To gain further insights into the molecular characteristics of immune cell subsets and metabolic status that are differentially expanded in ITP patients, we performed scRNA-seq analysis on peripheral blood mononuclear cell (PBMC) isolated from 5 ITP patients pre- or posttreatment with tacrolimus and 3 HC individuals. Similar to the CyTOF data, a relative increase in Th1 cells and memory T cells and a reduction in naïve T cells and Treg cells were found in the ITP patient group compared with the HC group. Among the 9 subclustered T-lineage cell types, the CD4+ CXCR3+ IFNγ+ Th1 cells with functional pathways such as TCR pathway activation, IL-17 signaling pathway, and MAPK signaling pathway draw our attention. Next, we examined the metabolic status of immune cells of ITP patients to elucidate the underlying mechanisms of dysfunction of immune cells. Our analysis suggested that aberrant metabolism including glucose metabolism, nucleotide metabolism, and one-carbon metabolism caused by Th1 cells were involved in the dysregulated immune response in ITP. Moreover, ITP patients had elevated levels of metabolic checkpoints (mTOR, HIF-1α, and c-Myc) and low expression of immune checkpoint regulators (CTLA4, TIM3, and LAG3) in Th1 cells. Patients who recovered from tacrolimus treatment had a lower proportion of Th1 cells and lower expression levels of metabolic enzymes than nonresponsive patients. Conclusion Using integrated single-cell proteomic and transcriptomic profiling, this study depicts the broad immune and metabolic landscape of PBMC from ITP patients. In particular, our data unveil that inflammatory Th1 cells play a critical role in the pathophysiology of ITP and suggest a novel therapeutic opportunity of tacrolimus towards reprogramming immune metabolism.

CD28 CAR T Cells for the Treatment of T Cell Malignancies

CONCLUSION While synthetic immunotherapy has been introduced into the standard of care treatment of patients with B-lineage malignancies, patients with T-lineage malignancies have not gained benefit from this novel approach, yet. The main reason is the challenging choice of target antigen in T-lineage malignancies such as pediatric T cell acute lymphoblastic leukemia (T-ALL). As activating mutations of CD28 have already been described in T cell malignancies, we set out to quantify surface expression of CD28 and other costimulatory molecules on primary pediatric T-ALL samples and explore the utility of this functionally relevant molecule as a novel target antigen. Bone marrow (BM) samples of pediatric T-ALL patients (n=54) at time of diagnosis and healthy control individuals (n=14) were collected. We quantified surface expression of CD28 and 25 additional co-stimulatory or co-inhibitory molecules by flow cytometry after gating on T cell precursors (living singlets, CD45 dim/SSC-A low and CD7 +). Subsequently, we generated a set of 20 CD28 directed second-generation chimeric antigen receptors (CARs) based on five different monoclonal antibodies with variation in hinge domain and light chain / heavy chain chronology. We analyzed specific CAR activity against CD28 expressing T-ALL cell lines after retroviral transduction into primary human T cells. Additional CD28 knockout (KO) by CRISPR/Cas9 could prevent T cell fratricide. CAR constructs were subjected to in vivo testing in a T-ALL NSG mouse model with transplantation of 7.5e4 CCRF-CEM cells transduced with firefly luciferase on day 0 and transfer of 2.5e6 CD28 KO T cells on day 3 harboring either of both CD28 CAR molecules. We used CD7 CAR T cells as positive control, CD19 CAR T cells and CD28 KO T cells without CAR as negative controls. We observed significant upregulation of CD28 on T-ALL leukemia when compared to healthy BM donors (Figure 1A, mean 68.8% vs. 3.7%, p=0.0002). We confirmed upregulation of CD28 in published T-ALL RNA-expression data sets. Interestingly, other co-stimulatory molecules such as CD127 were upregulated, too (mean 50.0% vs. 14.6%, p=0.0001), while co-inhibitory molecules such as CD160, TIGIT and TIM-3 were strongly downregulated (&amp;gt;10fold and p&amp;lt;0.0001 each). We hypothesized that this could imply a functional relevance of CD28 in T-ALL. Therefore, we performed co-culture assays of monocyte derived dendritic cells (CDs) expressing CD28 ligands CD80 and CD86 with different T-lineage leukemia cell lines. The presence of DCs significantly increased proliferation of CD28 + T-ALL cell lines under stress conditions. In order to test the feasibility of CD28 CAR T cells, we generated CD28 KO primary T cells without CAR. When tested in co-culture assays with leukemia cells and T cell engagers, CD28 KO T cells showed unchanged cytotoxic capacity and target-dependent activation illustrating that CD28 KO T cells retain short-term effector functions. Based on cytotoxic capacity and CAR T cell expansion, we identified two lead CD28 CAR candidates out of a pool of 20 CD28 CARs. After CD28 KO, CD28 CAR-T cells showed in vitro expansion comparable to CD19 CAR T cells. Next, we asked how CD28 CAR T cells compare to CD7 CAR T cells, which are currently evaluated clinical trials for T-ALL therapy. Therefore, we generated CD7 KO T cells that were subsequently transduced with a functional CD7 CAR. In vitro, both CD28 CAR T cells and CD7 CAR T cells showed killing of CD28 +CD7 + CCRF-CEM cells of &amp;gt;90% at an effector:target (E:T) ratio of 0.2:1, with CD7 being outperformed by one of the CD28 CARs while outperforming the other CD28 CAR at an E:T ratio of 0.04:1 (Figure 1B). Finally, we went on to validate the functionality of CD28 CAR T cells in vivo. We observed significantly prolonged survival of mice treated with CD28 CAR T cells and CD7 CAR T cells when compared to CD19 CAR T cells or control T cells. No difference in survival between CD7 and CD28 CAR T cell treated mice could be observed in two independent experiments. We identify CD28 as novel target antigen for pediatric T-ALL and provide evidence that CD28 is an immunotarget with functional relevance for T-ALL. We demonstrate the feasibility of CD28 CAR T cell generation and that these novel CAR T cells perform equally well as CD7 CAR T cells both in vitro and in vivo. Novel and functionally relevant CAR targets will facilitate clinical development of immunotherapy for T-lineage malignancies.

Psychometric properties of the Hungarian childhood trauma questionnaire short form and its validity in patients with adult attention-deficit hyperactivity disorder or borderline personality disorder

BackgroundCompelling evidence supports the role of childhood traumatization in the etiology of psychiatric disorders, including adult attention-deficit hyperactivity disorder (aADHD) and borderline personality disorder (BPD). The aim of this study was to examine the psychometric properties of the Hungarian version of the Childhood Trauma Questionnaire Short Form (H-CTQ-SF) and to investigate the differences between patients diagnosed with aADHD and BPD in terms of early traumatization.MethodsAltogether 765 (mean age = 32.8 years, 67.7% women) patients and control subjects were enrolled from different areas of Hungary. Principal component analysis and confirmatory factor analysis were carried out to explore the factor structure of H-CTQ-SF and test the validity of the five-factor structure. Discriminative validity was assessed by comparing clinical and non-clinical samples. Subsequently, aADHD and BPD subgroups were compared with healthy controls to test for the role of early trauma in aADHD without comorbid BPD. Convergent validity was explored by measuring correlations with subscales of the Personality Inventory for DSM-5 (PID-5).ResultsThe five scales of the H-CTQ-SF demonstrated adequate internal consistency and reliability values. The five-factor model fitted the Hungarian version well after exclusion of one item from the physical neglect scale because of its cross-loading onto the emotional neglect subscale. The H-CTQ-SF effectively differentiated between the clinical and non-clinical samples. The BPD, but not the aADHD group showed significant differences in each CTQ domain compared with the healthy control group. All CTQ domains, except for physical abuse, demonstrated medium to high correlations with PID-5 emotional lability, anxiousness, separation insecurity, withdrawal, intimacy avoidance, anhedonia, depressivity, suspiciousness, and hostility subscales.ConclusionsOur study confirmed the psychometric properties of the H-CTQ-SF, an easy-to-administer, non-invasive, ethically sound questionnaire. In aADHD patients without comorbid BPD, low levels of traumatization in every CTQ domain were comparable to those of healthy control individuals. Thus, the increased level of traumatization found in previous studies of aADHD might be associated with the presence of comorbid BPD. Our findings also support the role of emotional neglect, emotional abuse and sexual abuse in the development of BPD.

Presence of circulatory autoantibodies against glycated histones in diabetic patient in Saudi Arabia

Background: Advanced glycation end products (AGEs) in diabetic patients can trigger several autoimmune responses. This article aims to assess the presence of circulating autoantibodies against glycated histones and their role in complications in diabetic patients in the Saudi population. Methods: A total of one hundred twenty samples were collected from diabetic patients with different age groups and healthy individuals as control. All serum samples were collected from Prince Sultan Military Medical City (PSMMC) in Riyadh City in Saudi Arabia. Glycated H2A was prepared and characterized using different physiochemical techniques. Then, ELISA was performed to assess the presence of circulating autoantibodies against glycated histones in diabetic patients’ samples compared with control healthy individuals in the Saudi population. Results: The glycation of H2A under our experimental conditions appears to be completed in 14 days. also, our data showed high circulating autoantibodies were detected against glycated H2A in all diabetic patients’ plasma with different dilutions. Remarkably, diabetic patients’ group 1 (under 20 years old group) showed highly significant binding activity values in each dilution. However, diabetic patients in groups 2 and 3 showed less binding but still significant values when compared to control healthy individuals. Conclusions: This finding provides novel perspectives into existing of circulating autoantibodies against glycated histones in diabetes patients in Saudi Arabia. Therefore, these circulating autoantibodies might be used as valuable tools for understanding the glycation mechanisms in diabetic patients in addition to providing diagnostic and prognostic knowledge. However, their roles in diabetic complications need further investigation.

The impact of vestibular dysfunction on falls and postural instability in individuals with type 2 diabetes with and without diabetic polyneuropathy.

This study aimed to determine the association between vestibular dysfunction, falls, and postural instability in individuals with type 2 diabetes (T2D) compared to healthy control individuals and to examine the impact of diabetic polyneuropathy (DPN). This cross-sectional study included individuals with T2D with DPN (n=43), without DPN (n=32), and healthy controls (n=32). Cervical and ocular vestibular evoked myogenic potentials (VEMP) were recorded, and latencies and amplitudes were determined. DPN was diagnosed based on nerve conduction studies and clinical scores. Postural instability was examined using a static posturographic balance system and calculated as an instability index (ST). Falls were recorded retrospectively during the past year. Group comparisons were conducted by using univariate and bivariate statistics. Individuals with T2D experienced more falls than healthy controls (T2D with DPN n=12[38%], T2D without DPN n=15[35%], controls n=5[16%], p=0.04). Individuals with T2D had decreased postural stability, T2D with DPN, ST (median of 52[iqi = 33; 77]), T2D without DPN, ST (median of 31[iqi = 24; 39]), controls ST (median of 26[iqi = 19; 33], p=0.01), when comparing all three groups. Individuals with T2D had a greater number of no-responses in oVEMP compared to controls (T2D with DPN, n=15[46.9%] T2D without DPN n=25[58.1%], controls n=9[28.1%], p=0.04). No difference was found in cVEMP and oVEMP amplitudes in any of the groups. Irrespectively of DPN, fallers with T2D had decreased oVEMP and cVEMP latencies on the right ears, when comparing to non-fallers, respectively, n10 (fallers [median of 16, iqi=15;19 ms.] vs. non-fallers [median of 25 iqi=16;35ms]); p13 (fallers [median of 16, iqi=15;17 ms.] vs. non-fallers [median of 15, iqi=8;16 ms.], p<0.05). Falls and postural instability were more frequent in individuals with T2D compared to healthy controls. Fallers with T2D had vestibular end-organ impairments based on the oVEMP and cVEMP latencies on the right but not the left ears, irrespective of DPN. Individuals with T2D had more frequent no-response of the oVEMP, indicating impaired vestibular nerve function.

Altered functional connectivity in language and non-language brain networks in patients diagnosed with acute post-stroke aphasia

ObjectiveA resting-state functional magnetic resonance imaging (rs-fMRI) approach was used to explore functional connectivity (FC) in language and non-language brain networks in acute post-stroke aphasia (PSA) patients, with a specific focus on the relationship between these fMRI results and patient clinical presentation. MethodsIn total, 20 acute PSA patients and 30 age-, sex-, and education level-matched healthy control (HC) participants were recruited and subjected to rs-fMRI imaging. In addition, western aphasia battery analyses（WAB） were used to compute aphasia quotient (AQ) values for PSA patients. Granger causality was employed to examine connections among cognition-associated resting-state brain networks, and the right middle frontal gyrus (RMFG),the mirror brain regions of Broca’s area and the Wernicke’s area, the right superior temporal gyrus were selected as regions of interest (ROIs). The REST plus software was then used to perform FC analyses of these regions to analyze changes in FC related to PSA pathogenesis. ResultsRelative to HC individuals, PSA patients exhibited significantly higher levels of intra-network FC between the right middle frontal gyrus (RMFG) and the left middle occipital gyrus (LMOG), with such FC being positively correlated with the AQ scores (P = 0.018). Moreover, reduced FC was detected between the Broca’s area homolog and the left middle frontal gyrus (LMFG), while FC was enhanced between the Wernicke’s area homolog and cerebellar vermis, and this FC was similarly positively correlated with patient AQ scores (P = 0.0297). ConclusionThese results suggest that FC between the bilateral hemispheres of the brain is significantly disrupted in acute PSA patients, interfering with the normal non-specific language network. Aphasia severity was further found to correlate with FC among many of the analyzed regions of the brain.

Investigation of Gut Microbiota Disorders in Sepsis and Sepsis Complicated with Acute Gastrointestinal Injury Based on 16S rRNA Genes Illumina Sequencing.

Sepsis is a life-threatening organ dysfunction caused by the host's dysfunctional response to infection, which can cause acute gastrointestinal injury (AGI). The gut microbiota is dynamic and plays a role in the immune and metabolic. The aim of this study was to investigate the composition and function of gut microbiota in patients with sepsis, as well as the gut microbiome that may be involved in the occurrence of AGI. A total of 23 stool samples from healthy control individuals and 41 stool samples from sepsis patients were collected. Patients with sepsis were followed up for one week to observe whether AGI has occurred. Finally, 41 patients included 21 sepsis complicated with AGI (referred to as Com-AGI) and 20 sepsis without complicated with AGI (referred to as No-AGI). The gut microbiota was analyzed by 16S rRNA gene sequencing, followed by composition analysis, difference analysis, correlation analysis, functional prediction analysis. The diversity and evenness of gut microbiota were decreased in patients with sepsis. Compared with No-AGI, the gut microbiota of Com-AGI has higher community diversity, richness, and phylogenetic diversity. Escherichia-Shigella, Blautia and Enterococcus may be important indicators of sepsis. The correlation analysis showed that aspartate aminotransferase (AST) and Barnesiella have the most significant positive correlation. Moreover, Clostridium_innocuum_group, Christensenellaceae_R-7_group and Eubacterium were all significantly correlated with LAC and DAO. Clostridium_innocuum_group, Barnesiella, Christensenellaceae_R-7_group and Eubacterium may play important roles in the occurrence of AGI in sepsis. PICRUSt analysis revealed multiple functional pathways involved in the relationship between gut microbiota and sepsis, including starch degradation V, glycogen degradation I (bacterial), Lipoic acid metabolism and Valine, leucine and isoleucine biosynthesis. BugBase analysis showed that the gut microbiota with Aerobic phenotype may play an important role in sepsis. Dysfunction of gut microbiota was associated with sepsis and AGI in patients with sepsis.

Inflammasomes in rheumatoid arthritis: a pilot study

BackgroundThe inflammasome plays an important role in rheumatoid arthritis (RA), which has rarely been systematically reported. The aim of this study was to understand whether the levels of inflammasomes were related to the severity of RA disease, which might provide a stronger theoretical basis for RA treatment.MethodsThe mRNA expression levels of some inflammasomes and associated molecules, including IL-1beta and IL-18, in peripheral blood mononuclear cells (PBMCs) from 30 RA patients (n = 30) and 16 healthy control (HC) individuals were determined by quantitative real-time polymerase chain reaction (qRT‒PCR), and the levels of plasma IL-1beta and IL-18 were also measured by enzyme-linked immunosorbent assay (ELISA). Moreover, the clinical characteristics and laboratory results of the patients were collected and analyzed in this study.ResultsThe relative mRNA expression levels of NLRP3, NLRC4, AIM2, caspase-1, and IL-1beta were significantly higher and those of NLRP1, NLRP2 and NLRC5 were notably lower in the HC group than in the RA group. Moreover, the plasma IL-1beta and IL-18 levels were markedly increased in the RA group. Additionally, the mRNA level of AIM2 was negatively correlated with disease activity score 28 (DAS28) by stepwise linear regression analysis. erythrocyte sedimentation rate (ESR) was positively correlated with DAS28 by multiple linear regression analysis in the RA group.ConclusionsThese findings imply the critical role of NLRP3, NLRC4, AIM2, caspase-1 and plasma IL-1beta and IL-18 in the pathogenesis of RA patients, which provides potential targets for the treatment of RA.

Molecular characteristics of circulating B cells and kidney cells at the single-cell level in special types of primary membranous nephropathy.

Although primary membranous nephropathy (pMN) associated with podocyte autoantibodies (POS) is becoming well-known, the molecular characteristics of the specific type of pMN that is negative for podocyte autoantibodies (NEG) is still unclear. We performed single-cell transcriptome sequencing and single-cell B cell receptor sequencing on circulating CD19+ cells and kidney cells of a NEG paediatric patient with pMN. The single-cell datasets of POS patients and healthy control individuals were included for integrative analysis. The gene expression characteristics and clonal expansion of naïve and memory B cells in the NEG patient changed significantly. We found that a group of CD38+ naïve B cells expanded in the NEG patient, which had the functional characteristics of cell activation. In addition, the conversion between immunoglobulin M (IgM)/IgD and IgG1 in the NEG patient was increased. Parietal epithelial cells (PECs) and podocytes shared similar signature genes (WT1, CLIC5), and new candidate marker genes for PECs, such as NID2, CAV1 and THY1, might contribute to the definition of cell subsets. PECs might have undergone significant changes in the disease, mainly manifested by changes in the expression of CCN2, PLAAT4 and SEPTIN2. The scores of gene sets related to extracellular matrix, cell adhesion and calcium channel in podocytes of the NEG patient was significantly increased. The gene expression of sodium transporter in a group of proximal tubule cells in the disease was significantly increased, especially SLC5A12, which might be related to the oedema of patients. Our research demonstrated the cell type-specific molecular features in the circulation and kidney of the NEG pMN patient.

Plasma metabolomics and proteomics reveal novel molecular insights and biomarker panel for cholelithiasis

BackgroundCholelithiasis is a gastrointestinal disease that is associated with the highest socioeconomic cost. A diagnosis of cholelithiasis based on clinical features is significantly limited, and direct molecular insights into cholelithiasis and the relationship between cholelithiasis and clinical biochemical parameters are unclear. ObjectivesUncovering direct molecular insights into cholelithiasis and the relationship between cholelithiasis and clinical biochemical parameters. Identifying sensitive and specific biomarkers for this disease. MethodsParallel metabolomic and proteomic analyses of plasma from cholelithiasis patients (CPs) and healthy control individuals (HCs) without cholelithiasis were performed using ultrahigh-performance liquid chromatography-tandem mass spectrometry. A multimodule coexpression network analysis and integrated machine learning methods, including least absolute shrinkage and selection operator, random forest, and support vector machine, were used for bioinformatic analyses. An independent cohort and the cross-validation of the combination of two cohorts were used to evaluate the diagnostic performance of the panel. ResultsArachidonic acid metabolism was significantly different between the CP and HC groups. Glyceraldehyde-3-phosphate dehydrogenase, actin beta, phosphoglycerate mutase 1, Enolase 1, Myeloperoxidase, and actin alpha 1 were identified as potential proteins related to cholelithiasis. The correlation between the merged modules and clinical biochemical tests was calculated. A diagnostic panel composed of four candidate biomarkers, including 3-oxotetradecanoic acid, 12-hydroxydodecanoic acid, hemoglobin subunit delta (HBD), and fibrinogen beta chain (FGB), was proposed based on three modules that were significantly associated with cholelithiasis. The classification according to the diagnostic panel detected CPs with an area under the curve (AUC) of 0.955. External validation in an independent cohort resulted in similar accuracy (AUC=0.995). ConclusionsThis study provided some direct molecular insights into cholelithiasis by showing the differences in plasma metabolic and protein profiles between CPs and HCs and presented a potential biomarker panel with two metabolites (3-oxotetradecanoic acid, 12-hydroxydodecanoic acid) and two proteins (HBD, FGB) for predicting cholelithiasis. We also explored the potential correlation of clinical biochemical parameters with combined modules. These findings may provide some reference for the diagnosis of cholelithiasis in clinical practice.