Immunological Classification Research Articles

Evaluation of Urinary Free Light Chains as a Marker of Severity of HIV Disease and Its Correlation with CD4 Count: A Pilot Study.

Human immunodeficiency virus (HIV) infection weakens immunity. Monitoring the immune status of the patient has become an important aspect of evaluating the progression of the disease and informing follow-up after treatment. Estimation of CD4 counts is quite costly and requires expertise in flow cytometry. In certain pathologies, free light chains (FLCs) are secreted in serum and urine and the magnitude can be used to monitor the severity, progression, and therapeutic monitoring of the disease. Urine as a specimen proves cost-effective and presents reduced risks during sample collection. The stability of light chains in urine at room temperature over extended periods simplifies the management of sample transportation as well. Hence, a pilot cross-sectional study was planned to evaluate the levels of urinary immunoglobulins in patients with HIV. The study was conducted at PGIMER, Dr. Ram Manohar Lohia Hospital (presently ABVIMS), New Delhi. Sixty-nine consecutive ART-naive HIV patients aged between 18 and 40 years and 69 age- and sex-matched healthy controls were included in the study. Urinary FLC kappa (κ) and lambda (λ) were measured using an immunoglobulin ELISA kit. Baseline urinary κ light chain levels were significantly higher in cases when compared with controls (p < .001) and were found to be increased with increasing WHO immunological classes (p < .001) and inversely related to CD4 cell count. However, no significant difference in mean urinary λ immunoglobulin light chain between cases and controls was found and no correlation with CD4 cell count or with stages of WHO immunological classification of HIV disease was observed. It is suggested that urinary free κ chain measurements combined with serum light chain measurements may be a useful marker in the follow-up and monitoring of response to therapies in patients with HIV where testing by flow cytometry is not available.

Prognostic and Predictive Potential of CCL5 Expression in Muscle-Invasive Bladder Cancer Patients.

Bladder cancer (BC) is the 12th most commonly diagnosed cancer worldwide. Although there are several well-established molecular and immunological classifications, prognostic and predictive markers for tumor cells and immune cells are still needed. Using a tissue microarray, we analyzed the expression of the chemokine CC motif ligand 5 (CCL5) by immunohistochemistry (IHC) in 175 muscle-invasive BC samples. The application of a single cutoff for the staining status of tumor cells (TCs; positive vs. negative) and immune cells (ICs; positive vs. negative) revealed 75 patients (42.9%) and 123 patients (70.3%) with CCL5-positive TCs or ICs, respectively. IHC results were associated with prognostic and predictive data. Multivariate Cox regression analysis revealed that positive CCL5 staining in TCs was associated with significantly shorter disease-specific survival (DSS; RR = 1.51; p = 0.047), but CCL5-negative ICs were associated with significantly shorter overall survival (OS; RR = 1.66; p = 0.005), DSS (RR = 2.02; p = 0.001) and recurrence-free survival (RFS; RR = 1.94; p = 0.002). Adjuvant chemotherapy was favorable for patients with CCL5-negative ICs for OS (RR = 0.30; p = 0.006), DSS (RR = 0.36; p = 0.022) and RFS (RR = 0.41; p = 0.046) but not for patients with CCL5-positive ICs, except in the subgroup of N1 + N2 patients, where it was associated with better OS. We suggest that CCL5 expression can be a prognostic and predictive marker for muscle-invasive bladder cancer patients.

Integrated immunogenomic analysis of single-cell and bulk profiling reveals novel tumor antigens and subtype-specific therapeutic agents in lung adenocarcinoma

BackgroundIn recent years, mRNA-based vaccines with promising safety and functional characteristics have gained significant momentum in cancer immunotherapy. However, stable immunological molecular subtypes of lung adenocarcinoma (LUAD) and novel tumor antigens for LUAD mRNA vaccine development remain elusive. Therefore, a novel approach is urgently needed to identify suitable LUAD subtypes and potential tumor antigens. MethodsThe Cancer Genome Atlas (TCGA), the Genotype Tissue Expression (GTEx), and Gene Expression Omnibus (GEO) databases were utilized to retrieve gene expression data. The LUAD Immunological Multi-Omics Classification (LIMOC) system was developed using seven machine learning (ML) algorithms by performing integrative immunogenomic analysis of single-cell and bulk tissue transcriptome profiling. Subsequently, a panel of approaches was applied to identify novel tumor antigens. ResultsFirst, the LIMOC system was construct to identify three subtypes: LIMOC1, LIMOC2, and LIMOC3. Second, we identified CHIT1, LILRA4, and MEP1A as novel tumor antigens in LUAD; these genes were up-regulated, amplified, and mutated, and showed a positive association with APC infiltration, making them promising candidates for designing mRNA vaccines. Notably, the LIMOC2 subtype had the worst prognosis and could benefit most from mRNA immunization. Furthermore, we performed a comprehensive in silico screening of approximately 2000 compounds and identified Sorafenib and Azacitidine as potential subtype-specific therapeutic agents. ConclusionsOverall, our study established a robust LIMOC system and identified CHIT1, LILRA4, and MEP1A as promising tumor antigen candidates for development of anti-LUAD mRNA vaccines, particularly for the LIMOC2 subtype.

NG2 Molecule Expression in Acute Lymphoblastic Leukemia B Cells: A Flow-Cytometric Marker for the Rapid Identification of KMT2A Gene Rearrangements.

B-lineage acute lymphoblastic leukemias (B-ALL) harboring rearrangements of the histone lysine [K]-Methyltransferase 2A (KMT2A) gene on chromosome 11q23 (KMT2A-r) represent a category with dismal prognosis. The prompt identification of these cases represents an urgent clinical need. Considering the correlation between rat neuron glial-antigen 2 (NG2) chondroitin-sulfate-proteoglycan molecule expression and KMT2A-r, we aimed to identify an optimized cytofluorimetric diagnostic panel to predict the presence of KMT2A-r. We evaluated 88 NG2+ B-ALL cases identified with an NG2 positivity threshold >10% from a cohort of 1382 newly diagnosed B-ALLs referred to the Division of Hematology of 'Sapienza' University of Rome. Eighty-five of 88 (96.6%) NG2+ B-ALLs harbored KMT2A-r and were mainly pro-B ALL (77/85; 91%). Only 2 B-ALLs with KMT2A-r showed NG2 expression below 10%, probably due to the steroid therapy administered prior to cytofluorimetric analysis.Compared to KMT2A-r-cases, KMT2A r+ B-ALLs showed a higher blast percentage, significantly higher mean fluorescence intensity (MFI) of CD45, CD38, and CD58, and significantly lower MFI of CD34, CD22, TdT, and CD123.The study confirmed differences in CD45, CD34, CD22, and TdT MFI within the same immunologic EGIL group (European Group for the immunological classification of leukemias), indicating no influence of the B-ALLs EGIL subtype on the KMT2A-r+ B-ALLs immunophenotype. Our data demonstrate the association between NG2 and KMT2A-r in B-ALLs identify a distinctive immunophenotypic pattern, useful for rapid identification in diagnostic routines of these subtypes of B-ALLs with a poor prognosis that benefits from a specific therapeutic approach.

Regional immunity involved in the maintenance and imbalance of periodontal homeostasis

The concept of homeostatic medicine has helped the researchers to understand the periodontal tissues in a completely new dimension. Periodontal tissues are subjected to complex external environmental stimuli and the internal tissues are continuously undergoing active remodeling. Periodontal regional immunity is continuously activated by local stimuli and interacts with the epithelial barrier, stromal tissue/extracellular matrix, and bone-coupled systems in a complex manner. Together, this complex network shapes the periodontal homeostasis. Under physiological conditions, moderate regional immunity relies on barrier function, intrinsic immune cells to control periodontal microbiota and maintain homeostasis. Under pathological conditions, pathogenic microbiota drive the periodontal homeostasis imbalance through over-activated regional immunity such as neutrophils, helper T (Th) 17 cells and B cells, causing periodontitis. Using the most basic immunological classification as a framework, this paper provides a systematic overview of the above mechanisms by which regional immunity regulates periodontal homeostasis, reviews the translational studies that have been carried out on homeostatic remodeling strategies targeting regional immunity, and proposes a series of periodontal homeostasis medicine research directions worth exploring, as well as potential new targets and strategies for homeostatic remodeling.

Immature stroma and high infiltration of CD15+ cells are predictive markers of poor prognosis in different subsets of patients with pancreatic cancer.

Preoperative treatment is commonly carried out for borderline resectable pancreatic ductal adenocarcinoma (PDAC). However, the relationship between the combination of immune cells in the tumor microenvironment and their intratumoral heterogeneity along with their association with histological findings remains unclear, especially in patients receiving preoperative chemotherapy. We aimed to explore the therapeutic strategies for patients with PDAC with poor prognosis after receiving chemotherapy based on histological and immunological microenvironmental classifications. We investigated the correlation between the prognosis and histological immune microenvironmental factors of patients who initially underwent surgery (n = 100) and were receiving gemcitabine plus nab-paclitaxel (GEM + nabPTX) as preoperative chemotherapy (n = 103). Immune profiles were generated based on immune cell infiltration into the tumor, and their correlation with patient outcomes and histological features was analyzed. Tumor-infiltrating neutrophils (TINs) were identified as independent poor prognostic factors using multivariate analysis in both surgery-first and preoperative chemotherapy groups. The patients were further classified into four groups based on immune cell infiltration into the tumor. Patients with high CD15 infiltration into the tumor and immature stroma at the cancer margins showed the worst prognosis in the preoperative chemotherapy group. The analysis of mRNA expression and immunohistochemical features revealed that CXCR2, the receptor for CXCL8, was correlated with disease-free and overall survival. We inferred that patients with immature stroma at the margins and high infiltration of CD15+ neutrophils within the tumor showed the worst prognosis and they could particularly benefit from treatment with inhibitors targeting CXCR2 or CXCL8.

Flow cytometry-based diagnostic approach for inborn errors of immunity: experience from Algeria.

In this study, we retrospectively reviewed the use of flow cytometry (FCM) in the diagnosis of inborn errors of immunity (IEIs) at a single center in Algeria. Sharing insights into our practical experience, we present FCM based diagnostic approaches adapted to different clinical scenarios. Between May 2017 and February 2024, pediatric and adult patients presenting with clinical features suggestive of immunodeficiency were subjected to FCM evaluation, including lymphocyte subset analysis, detection of specific surface or intracellular proteins, and functional analysis of immune cells. Over a nearly seven-year period, our laboratory diagnosed a total of 670 patients (372 (55.5%) males and 298 (44.5%) females), distributed into 70 different IEIs belonging to 9 different categories of the International Union of Immunological Societies classification. FCM was used to diagnose and categorize IEI in 514 patients (76.7%). It provided direct diagnostic insights for IEIs such as severe combined immunodeficiency, Omenn syndrome, MHC class II deficiency, familial hemophagocytic lymphohistiocytosis, and CD55 deficiency. For certain IEIs, including hyper-IgE syndrome, STAT1-gain of function, autoimmune lymphoproliferative syndrome, and activated PI3K delta syndrome, FCM offered suggestive evidence, necessitating subsequent genetic testing for confirmation. Protein expression and functional assays played a crucial role in establishing definitive diagnoses for various disorders. To setup such diagnostic assays at high and reproducible quality, high level of expertise is required; in house reference values need to be determined and the parallel testing of healthy controls is highly recommended. Flow cytometry has emerged as a highly valuable and cost-effective tool for diagnosing and studying most IEIs, particularly in low-income countries where access to genetic testing can be limited. FCM analysis could provide direct diagnostic insights for most common IEIs, offer clues to the underlying genetic defects, and/or aid in narrowing the list of putative genes to be analyzed.

Tumor immunological phenotype-derived gene classification predicts prognosis, treatment response, and drug candidates in ovarian cancer

Tumor immunological phenotype-derived gene classification predicts prognosis, treatment response, and drug candidates in ovarian cancer

Predicting delayed methotrexate elimination in pediatric acute lymphoblastic leukemia patients: an innovative web-based machine learning tool developed through a multicenter, retrospective analysis

BackgroundHigh-dose methotrexate (HD-MTX) is a potent chemotherapeutic agent used to treat pediatric acute lymphoblastic leukemia (ALL). HD-MTX is known for cause delayed elimination and drug-related adverse events. Therefore, close monitoring of delayed MTX elimination in ALL patients is essential.ObjectiveThis study aimed to identify the risk factors associated with delayed MTX elimination and to develop a predictive tool for its occurrence.MethodsPatients who received MTX chemotherapy during hospitalization were selected for inclusion in our study. Univariate and least absolute shrinkage and selection operator (LASSO) methods were used to screen for relevant features. Then four machine learning (ML) algorithms were used to construct prediction model in different sampling method. Furthermore, the performance of the model was evaluated using several indicators. Finally, the optimal model was deployed on a web page to create a visual prediction tool.ResultsThe study included 329 patients with delayed MTX elimination and 1400 patients without delayed MTX elimination who met the inclusion criteria. Univariate and LASSO regression analysis identified eleven predictors, including age, weight, creatinine, uric acid, total bilirubin, albumin, white blood cell count, hemoglobin, prothrombin time, immunological classification, and co-medication with omeprazole. The XGBoost algorithm with SMOTE exhibited AUROC of 0.897, AUPR of 0.729, sensitivity of 0.808, specificity of 0.847, outperforming the other models. And had AUROC of 0.788 in external validation.ConclusionThe XGBoost algorithm provides superior performance in predicting the delayed elimination of MTX. We have created a prediction tool to assist medical professionals in predicting MTX metabolic delay.

The Multifaceted Syndromic Primary Immunodeficiencies in Children.

Disorders of immunity are poorly recognised in some rare multisystem genetic conditions. We aim to describe syndromic features and immunological defects in children with syndromic primary immunodeficiencies (sPIDs). This is a retrospective descriptive study of children aged 0-18 years with sPIDs under the care of the paediatric immunology service at the Bristol Royal Hospital for Children, United Kingdom, from January 2006 to September 2021. sPIDs were identified in 36 patients. Genetic diagnoses which are not commonly associated with PIDs and not included in the International Union of Immunological Societies classification were present in 7/36 (19%): Trisomy 22, Arboleda-Tham syndrome, 2p16.3 deletion syndrome, supernumerary ring chromosome 20 syndrome, Myhre syndrome, Noonan syndrome, and trichothiodystrophy/Cockayne syndrome complex. Recurrent and/or severe infections were the most common clinical features (n = 33, 92%). Approximately half had combined immunodeficiency or antibody deficiency. The most common extra-immunological manifestations include dysmorphism (72%), disorders of nervous (78%), musculoskeletal (69%), haematology/lymphatic (58%), and gastrointestinal, hepatic/pancreatic (58%) systems. Patients with sPIDs often have multiorgan involvement and some are non-immunologically mediated. There should be a low threshold to clinically assess and investigate for disorders of immunity in any patients with syndromic features especially when they present with recurrent/severe/opportunistic infections, features of immune dysregulation, autoinflammation or lymphoproliferation.

Dynamic residual deep learning with photoelectrically regulated neurons for immunological classification

Dynamic residual deep learning with photoelectrically regulated neurons for immunological classification

Gene set enrichment analysis identifies immune subtypes of kidney renal clear cell carcinoma with significantly different molecular and clinical properties.

Kidney renal clear cell carcinoma (KIRC) is the most prevalent renal malignancy, marked by a high abundance of tumor-infiltrating lymphocytes (TILs) and an unfavorable prognosis upon metastasis. Numerous studies have demonstrated that KIRC possesses a tumor microenvironment that is highly heterogeneous, and this is associated with significant variations in the effectiveness of most first-line drugs administered to KIRC patients. Therefore, it is crucial to classify KIRC based on the tumor microenvironment, although these subtyping techniques are still inadequate. By applying gene set enrichment scores of 28 immune signatures, we conducted a hierarchical clustering of KIRC and determined its immune subtypes. In addition, we conducted a comprehensive exploration of the molecular and clinical features of these subtypes, including survival prognosis, proliferation, stemness, angiogenesis, tumor microenvironment, genome instability, intratumor heterogeneity, and pathway enrichment. Through cluster analysis, two immune subtypes of KIRC were identified and termed Immunity-High (Immunity-H) and Immunity-Low (Immunity-L). This clustering outcome was consistent in four independent KIRC cohorts. The subtype Immunity-H exhibited elevated levels of TILs, tumor aneuploidy, homologous recombination deficiency, stemness, and proliferation potential, along with a poorer prognosis for survival. Despite this, the Immunity-L subtype demonstrated elevated intratumor heterogeneity and a stronger angiogenesis signature in contrast to Immunity-H. According to the results of pathway enrichment analysis, the Immunity-H subtype was found to be highly enriched in immunological, oncogenic, and metabolic pathways, whereas the Immunity-L subtype was highly enriched in angiogenic, neuroactive ligand-receptor interaction, and PPAR pathways. Based on the enrichment of immune signatures in the tumor microenvironment, KIRC can be categorized into two immune subtypes. The two subtypes demonstrate considerably distinct molecular and clinical features. In KIRC, an increase in immune infiltration is linked to a poor prognosis. Patients with Immunity-H KIRC may exhibit active responses to PPAR and immune checkpoint inhibitors, whereas patients with Immunity-L may manifest favorable responses to anti-angiogenic agents and immune checkpoint inhibitors. The immunological classification provides molecular insights into KIRC immunity, as well as clinical implications for the management of this disease.

Precise immunological classification guidance for early initiation of antiviral therapy in patients with chronic HBV infection

Chronic hepatitis B virus (HBV) infection is a major problem affecting global public health. Appropriate antiviral therapy use can prevent or delay the occurrence of liver cirrhosis and liver cancer. Precise immunological classification can be helpful to formulate personalized therapy and management plans for HBV-infected patients. Antiviral therapy should be started early in those who meet antiviral indications, and nucleos(t)ide analogue therapeutic regimens alone or in combination with pegylated interferon alpha should be optimized according to antiviral therapy response, in order to maximize the realization of virological and serological response, improve clinical cure rate, and enhance long-term prognosis.

Conjoint Citizen Participation of Pro-vaxxers and Vaccine Deniers to Eradicate Vaccination Conflicts: Illuminating a Novel Win-Win Pathway

Conflicts among pro-vaxxers and vaccine deniers will remain endless if both these groups fail to view vaccination through an unusual lens agreeable to both. Citizen participation encourages people to get involved in decision-making processes to build a better society or nation. Pro-vaxxers and vaccine deniers might be correct from their health activism and citizen participation standpoint but lack effective basis towards scientific precision. Under such circumstances, it is important to scrutinize if any aspect of the science remains neglected to facilitate resolving persistent conflicts. Lack of immunological tests to objectively measure the natural and adaptive immunity could have been instrumental in vaccination disputes. Epidemiological findings and publications should not be solely trusted to devise public health strategies. Affordable and precise immunological tests to prove the necessity and efficacy of vaccination on an individual level should be discovered to equally benefit pro-vaxxers and vaccine deniers. Perhaps, such immunological tests should be made disease-specific and vaccine-specific, and also enable development of an immunological classification system with gradations for immunocompetent and immunodeficient individuals. If disease-specific immunological tests are unavailable or cannot be discovered, tests based on homeostasis could be the best alternative but the relationship between homeostasis and immunity is surprisingly neither well established nor widely discussed, thus, immunity may be often seen as an ‘isolated’, ‘vaccine-dependent’ department in the human body. Any prophylactic intervention or treatment should upbring measurable changes in homeostasis of an individual to prove its scientific credibility. Ideally, both pro-vaxxers and vaccine deniers should be labeled as ‘defeated’ in their meaningless tug-of-war for being ignorant about “objective immunoassays”. As citizens, the pro-vaxxers and vaccine deniers have important onus to eradicate vaccination disputes by exploring what is equally relevant and beneficial to both of them to evaluate and regulate their immunity to ensure satisfactory personal health and community health, without any obligation to be sacrificial to justify the authenticity of their citizen participation. A scope for pro-vaxxers and vaccine deniers to work together (conjoint citizen participation) to eradicate vaccination conflicts is possible only based on ‘affordable and reliable immunological test’ to clinically examine themselves and clearly interpret if they are genuinely contributing to herd immunity or sabotaging herd immunity through their personal immune status. Even a single individual could contribute to massive scientific transformations through his or her discoveries, or just through critically questioning established scientific practices, and this is how naturally science evolves as a marvelous product of intellectual humility. Pseudoscience evolves as a malevolent product of intellectual arrogance. Keywords: Citizen Participation, Vaccination, Immunology, Pro-vaxxers, Vaccine deniers, Herd immunity, Antibodies, Innate immunity, Adaptive immunity, Immunological memory

Immunological classification of hepatitis B virus-positive hepatocellular carcinoma by transcriptome analysis

Hepatitis B virus (HBV) infection is a major factor responsible for HBV+ hepatocellular carcinoma (HCC). An immunological classification of HBV+ HCC may provide both biological insights and clinical implications for this disease. Based on the enrichment of 23 immune signatures, we identified two immune-specific subtypes (Imm-H and Imm-L) of HBV+ HCC by unsupervised clustering. We showed that this subtyping method was reproducible and predictable by analyzing three different datasets. Compared to Imm-L, Imm-H displayed stronger immunity, more stromal components, lower tumor purity, lower stemness and intratumor heterogeneity, lower-level copy number alterations, higher global methylation level, and better overall and disease-free survival prognosis. Besides immune-related pathways, stromal pathways (ECM receptor interaction, focal adhesion, and regulation of actin cytoskeleton) and neuro-related pathways (neuroactive ligand-receptor interaction, and prion diseases) were more highly enriched in Imm-H than in Imm-L. We identified nine proteins differentially expressed between Imm-H and Imm-L, of which MYH11, PDCD4, Dvl3, and Syk were upregulated in Imm-H, while PCNA, Acetyl-a-Tubulin-Lys40, ER-α_pS118, Cyclin E2, and β-Catenin were upregulated in Imm-L. Our data suggest that "hot" tumors have a better prognosis than "cold" tumors in HBV+ HCC and that "hot" tumors respond better to immunotherapy.

Preclinical immunogenicity assessment of a cell-based inactivated whole-virion H5N1 influenza vaccine.

In influenza vaccine development, Madin–Darby canine kidney (MDCK) cells provide multiple advantages, including large-scale production and egg independence. Several cell-based influenza vaccines have been approved worldwide. We cultured H5N1 virus in a serum-free MDCK cell suspension. The harvested virus was manufactured into vaccines after inactivation and purification. The vaccine effectiveness was assessed in the Wuhan Institute of Biological Products BSL2 facility. The pre- and postvaccination mouse serum titers were determined using the microneutralization and hemagglutination inhibition tests. The immunological responses induced by vaccine were investigated using immunological cell classification, cytokine expression quantification, and immunoglobulin G (IgG) subtype classification. The protective effect of the vaccine in mice was evaluated using challenge test. Antibodies against H5N1 in rats lasted up to 8 months after the first dose. Compared with those of the placebo group, the serum titer of vaccinated mice increased significantly, Th1 and Th2 cells were activated, and CD8+ T cells were activated in two dose groups. Furthermore, the challenge test showed that vaccination reduced the clinical symptoms and virus titer in the lungs of mice after challenge, indicating a superior immunological response. Notably, early after vaccination, considerably increased interferon-inducible protein-10 (IP-10) levels were found, indicating improved vaccine-induced innate immunity. However, IP-10 is an adverse event marker, which is a cause for concern. Overall, in the case of an outbreak, the whole-virion H5N1 vaccine should provide protection.

Homeostatic Apoptosis and Allostatic Apoptosis

Genetics and Epigenetics are the integral parts of homeostasis. But it remains unrealistic to assess the health or disease status of the individuals at the genetic or epigenetic level. Fortunately, numerous variables related to homeostasis and allostasis are measurable genetic expressions (phenotypes), thus we are relying primarily on vital signs, somatotype, exercise performance, quantifiable biomarkers, etc., without investigating the exact favorable and unfavorable epigenetics. In view of the aggravating uncertainties created by asymptomatic and symptomatic transmission of infections, an immunological classification system (preferably based on ‘Exercise Tolerance Diversity’) should be discovered as it becomes necessary to quantitatively measure the immunologic strengths of humans in all the phases of life cycle. In fact, large amounts of literatures reveal apoptosis as one of the crucial cellular mechanisms that can either promote or ruin the health of humans. No organ or specialized cell or physiologic process in the body operates on its own, thus apoptosis also must happen in response to homeostatic fluctuations. Both health and disease operate on a multifactorial background. Though the data is limited, the empirical evidences show recurrent illness history among the individuals who undergo structured exercises associated with significant improvements as compared to their baseline exercise tolerance standards. Meticulous homeostatic apoptosis can be expected if exercises are supported by appropriate healthy lifestyle. In contrary, erroneous allostatic apoptosis is inevitable if exercises are unsupported by appropriate healthy lifestyle, Thus, in combination with ‘health risk habits’, both sedentary and overtraining conditions can elevate the allostatic load and disrupt the optimal apoptotic regulation of the body. Elevation of allostatic load and morbidities can also be caused by psychological issues (exercise addiction, anorexia nervosa/bulimia), and in general, among all those who excessively or solely depend on pharmaceutical interventions associated with reluctance or ignorance to rectify the impediments in lifestyle. At the cellular level, the enjoyability and productivity of human life depends on durable homeostatic stability regulated by faultless apoptosis. This article aims at critically analyzing apoptosis and lifestyle. Keywords: Apoptosis, Lifestyle medicine, Immunology, Epigenetics, Exercise, Homeostasis, Allostasis

Exploration of Novel Immunological Terms in Lung Cancer With Large Populations: Implications for Immunotherapy.

BackgroundIdeal biomarkers to predict the response to immunotherapy in lung cancer are still lacking. Therefore, there is a need to explore effective biomarkers in large populations.ObjectiveThe objective of this study is to explore novel immunological classifications that are associated with immunotherapy response through the ssGSEA algorithm.MethodsSix independent lung cancer cohorts were collected for analysis including The Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO), and the EMBL-EBI database. The ssGSEA algorithm was performed to extract immune terms. Then, TCGA samples were involved as a training group and other cohorts were used as a validation group. After LASSO and Cox regression, prognostic associated immune terms were extracted and an immune-related risk score (IRS) signature was constructed. Furthermore, the association between IRS signature and clinical data, genome features, stemness indices analysis, tumor immune microenvironment, immunotherapy efficiency, and targeted therapy response was also investigated.ResultsA total of 1,997 samples were enrolled in this study including six large lung cancer cohorts. Fifty-four immune terms were calculated through the ssGSEA algorithm in combined cohorts. Then, a nine-immune-term risk score model named IRS signature was established to predict the prognosis in combined cohorts. We classified patients into high-risk and low-risk subgroups according to the cutoff point. Subsequently, analysis of clinical data and genome features indicated that the patients in the high-IRS group tend to have advanced clinical features (clinical stage and T classification), as well as a higher level of copy number variation burden, higher tumor burden mutation, and higher tumor stemness indices. Immune landscape analysis demonstrated that high-IRS groups exhibited lower immune cell infiltration and immune-suppressive state. More importantly, the predicted result of the Tumor Immune Dysfunction and Exclusion analysis showed that high-IRS groups might be more insensitive to immunotherapy. Meanwhile, we have also identified that high-IRS groups were associated with better efficiency of several targeted drugs.ConclusionTo summarize, we identified a novel IRS model based on nine immune terms, which was quantified by the ssGSEA algorithm. This model had good efficacy in predicting overall survival and immunotherapy response in non-small cell lung cancer patients, which might be an underlying biomarker.

Glomerular C4d Immunoperoxidase in Chronic Antibody-Mediated Rejection and Transplant Glomerulopathy

IntroductionThe diagnosis of late antibody-mediated rejection (AMR) is compromised by frequent absence of C4d in peritubular capillaries (C4dptc), termed “C4d-negative” AMR. We hypothesized that glomerular capillary C4d (C4dglom) reflected endothelial interaction with antibody and could improve immunologic classification of transplant glomerulopathy (TG).MethodsWe evaluated C4d using immunoperoxidase in 3524 consecutive, kidney transplant biopsies from a single center.ResultsC4dglom was detected in 16.5% and C4dptc in 9.9% of biopsies. C4dglom occurred in 60.3% of TG (n = 174) and was absent in normal glomeruli. Epidemiologic risk factors for C4dglom were younger, female, living-donor recipients with early AMR, prior treated rejection, and late presentation using multivariable analysis. Semiquantitative C4dglom score correlated with donor specific antibody (DSA) level, C4dptc, microvascular inflammation (MVI), Banff cg scores, renal dysfunction, and proteinuria. Principal component analysis colocalized C4dglom with histologic AMR. Multivariable analysis of TG found DSA, C4dptc, and post-transplant time associated with C4dglom. Addition of C4dglom into Banff chronic AMR schema improved its diagnostic sensitivity for TG (verified by electron microscopy [EM]) from 22.2% to 82.4% and accuracy from 59.6% to 93.9%, compared with Banff 2019 using only C4dptc. Tissue C4dglom and chronic AMR diagnosis incorporating C4dglom were associated with death-censored allograft failure in TG (P < 0.001), independent of the severity of glomerulopathy and chronic interstitial fibrosis.ConclusionC4dglom is a promising diagnostic biomarker of endothelial interaction with antibody which substantially improved test performance of the Banff schema to correctly classify TG by pathophysiology and prognosticate graft loss. We recommend routine C4d immunoperoxidase to minimize underdiagnosis of late AMR in TG.

Circulating Monocyte-Like Myeloid Derived Suppressor Cells and CD16 Positive Monocytes Correlate With Immunological Responsiveness of Tuberculosis Patients.

Alterations of myeloid cell populations have been reported in patients with tuberculosis (TB). In this work, we studied the relationship between myeloid-derived suppressor cells (MDSC) and monocytes subsets with the immunological responsiveness of TB patients. Individuals with active TB were classified as low responders (LR-TB) or high responders (HR-TB) according to their T cell responses against a cell lysate of Mycobacterium tuberculosis (Mtb-Ag). Thus, LR-TB, individuals with severe disease, display a weaker immune response to Mtb compare to HR-TB, subjects with strong immunity against the bacteria. We observed that LR-TB presented higher percentages of CD16 positive monocytes as compared to HR-TB and healthy donors. Moreover, monocyte-like (M-MDSC) and polymorphonuclear-like (PMN-MDSC) MDSC were increased in patients and the proportion of M-MDSC inversely correlated with IFN-γ levels released after Mtb-Ag stimulation in HR-TB. We also found that LR-TB displayed the highest percentages of circulating M-MDSC. These results demonstrate that CD16 positive monocytes and M-MDSC frequencies could be used as another immunological classification parameter. Interestingly, in LR-TB, frequencies of CD16 positive monocytes and M-MDSC were restored after only three weeks of anti-TB treatment. Together, our findings show a link between the immunological status of TB patients and the levels of different circulating myeloid cell populations.