Oxidative stress-A key determinant of complications and negative outcome in hepatitis E virus infected pregnancies: A comprehensive account involving cases from northeast India.

Regulated oxidative stress (OS) is important during pregnancy. Sporadic studies suggest the significance of deregulated OS in hepatitis E virus (HEV) infected pregnancy, but with limited reactive oxygen species (ROS) or antioxidant markers. The present novel study, therefore, aimed to evaluate the significance of ROS-antioxidant imbalance and resulting altered OS in HEV infected pregnancy complications like preterm delivery (PTD) and outcome. Difference in serum levels of ROS and antioxidant panel of markers were evaluated by ELISA for HEV immunoglobulin M RNA positive genotype 1 cases (including acute [acute viral hepatitis, AVH] and fulminant [fulminant hepatic failure, FHF] cases) and healthy term delivery subjects, and analyzed statistically. Direct ROS marker H2 O2 levels and indirect OS marker for DNA damage 8-hydroxy-2'-deoxyguanosine was significantly increased in HEV-cases compared to controls, and was associated and prognostic factor for PTD and fetal death in HEV cases. A comparatively lower total serum antioxidant capacity was observed in the FHF cases compared to the control subjects and the AVH cases. Glutathione (GSH) levels and superoxide dismutase (SOD) activity were significantly associated with PTD in the FHF sub-cohorts (p = 0.017) and AVH sub-cohorts (p < 0.001), respectively, and was associated with poor prognosis in HEV cases. The serum H2 O2 levels were found to be negatively correlated with SOD activity (p = 0.016) and GSH levels (p = 0.001) in the HEV-AVH cases; and positively correlated with the viral load in HEV cases (p = 0.023). The ROS-antioxidant imbalance resulting OS plays a detrimental associative role in HEV infected pregnancy complications like PTD and adverse pregnancy outcomes; and holds therapeutic significance.

Impact of TNF-α profile in recurrent pregnancy loss pathogenesis: A patient based study from Assam.

BACKGROUND: Lacunae exist in understanding the underlying etiology in majority of recurrent pregnancy loss (RPL) cases. Given the significance of regulated immune-modulation in pregnancy, and the central role of pro-inflammatory TNF-α plays in it; this study targeted to appraise the significance of TNF-α profile in RPL pathogenesis in an ethnically distinct population from Assam, India. METHODS: Term delivery, medically terminated pregnancy (MTP) and RPL cases (based on ASRM criteria) were enrolled with no anatomical and chromosomal abnormalities or pathological infections; and blood and/or placenta/product of conceptus (POC) tissue samples were collected with informed consent. Serum level and tissue level TNF-α expression profile were screened using specific molecular tools, and was correlated with TNF-α -308 G/A genotype; for its association with RPL predisposition. RESULTS: A significant gestation specific increase in serum TNF-α levels was observed in MTP cases (19.932 ± 4.407 pg/mL) compared to term delivery subjects (p = 0.001), while a comparable levels were observed with RPL cases (22.709 ± 5.833 pg/mL) (p = 0.646). A site specific (POC) increased expression was observed in RPL compared to MTP cases at both at transcript (6.37 ± 3.714 folds) and protein levels. The TNF-α -308 variant genotype was associated with increased predisposition to RPL (OR = 1.721) compared to MTP as well as significantly increased serum TNF-α levels (p = 0.017); especially in subjects with a homozygous TNF-α -308 A/A genotype. CONCLUSION: Our data emphasizes on the importance of site specific TNF-α expression levels in RPL pathogenesis in the studied population, and underlines its importance in screening, clinical stratification, and therapeutics by molecular targeting using TNF-α inhibitors.

Increased homocysteine mediated oxidative stress as key determinant of hepatitis E virus (HEV) infected pregnancy complication and outcome: A study from Northeast India.

With the background of association of oxidative stress and Hepatitis E virus (HEV) infection in pregnancy complications the present novel study aimed to evaluate the significance of changes in maternal homocysteine levels and the related mechanism(s) in the pathophysiology of HEV related pregnancy complications and negative outcomes. Term delivery (TD, N = 194) and HEV-IgM positive pregnancy cases [N = 109] were enrolled. Serum and placental homocysteine levels were evaluated by ELISA and immunofluorescence and in turn correlated with serum Vitamin B12 levels. Distribution of variant MTHFR C➔T and TYMS1494del6bp genotyping were studied by PCR-RFLP. Differential folate receptor alpha (FR-α) expression in placenta was evaluated by real-time PCR and immunofluorescence respectively. The HEV viral load was significantly higher in both FHF and AVH cases. Higher serum homocysteine levels was associated with preterm delivery (PTD) and fetal death in HEV infected cases and was significantly inversely correlated with serum VitaminB12 levels in HEV cases. Placental homocysteine expression was upregulated in HEV cases, and in cases with negative pregnancy outcome. A Homocysteine level was associated with MTHFR C677T status. Genetic alterations in folate pathway was associated with increased risk of PTD in HEV infected pregnancy cases, disease severity, and negative pregnancy outcome in AVH and FHF groups. FR-α expression was downregulated in placental tissues of HEV infected pregnancy.Placental stress caused by HEV inflicted increased homocysteine due to alterations in maternal vitamin B12 levels and folate pathway components is detrimental mechanism in PTD and negative pregnancy outcome in HEV infected pregnancy cases and holds prognostic and therapeutic significance.

Exploring the p53 connection of cervical cancer pathogenesis involving north-east Indian patients.

BACKGROUND: As per WHO, Cervical cancer (CaCx) is a global issue, being the fourth common cancer in women with incidence rate of 13.1 per 1 lakh women globally and accounting for 311000 deaths in the year 2018 itself globally. The molecular pathogenesis in Human papillomavirus (HPV) infected cases is inconclusive. The detection of molecular factors leading to progression of CaCx can be important in the diagnosis and management of the disease. p53 a known tumor suppressor gene having a regulative role in cell cycle has been highlighted as key factor in the prevention of cancer but its significance in CaCx cases has been variably documented. The present study therefore targeted to evaluate the significance of p53 profile in CaCx cases in ethnically distinct northeast Indian population. METHODS: Blood and Tissue samples (N = 85) of cervical cancer patients were collected and screening for HPV was performed using PCR. Thereafter the differential mRNA expression(qPCR), Immunohistochemistry, Mutation (PCR direct sequencing method) of p53 was studied. Further p53 epigenetic profiling was done by Methylation specific PCR (MS-PCR) and western blotting by using p53 acetylation specific antibodies. RESULTS: Our findings revealed that the downregulation of p53 was associated with the progression of disease and the variation in downregulation based on p53 polymorphism was observed. Further hypermethylation and deacetylation of p53 was also found to be associated with the pathogenesis of CaCx. The downregulated expression and hypermethylation of p53 in lower grade of CaCx, together established its association with the progression of CaCx from lower to severe grade. CONCLUSION: Therefore, in CaCx patients of northeast Indian population, malfunctioning of p53 is found to have significant role in cervical cancer progression.

A comprehensive study on the multi-class cervical cancer diagnostic prediction on pap smear images using a fusion-based decision from ensemble deep convolutional neural network.

The diagnosis of cervical dysplasia, carcinoma in situ and confirmed carcinoma cases is more easily perceived by commercially available and current research-based decision support systems when the scenario of pathologists to patient ratio is small. The treatment modalities for such diagnosis rely exclusively on precise identification of dysplasia stages as followed by The Bethesda System. The classification based on The Bethesda System is a multiclass problem, which is highly relevant and vital. Reliance on image interpretation, when done manually, introduces inter-observer variability and makes the microscope observation tedious and time-consuming. Taking this into account, a computer-assisted screening system built on deep learning can significantly assist pathologists to screen with correct predictions at a faster rate. The current study explores six different deep convolutional neural networks- Alexnet, Vggnet (vgg-16 and vgg-19), Resnet (resnet-50 and resnet-101) and Googlenet architectures for multi-class (four-class) diagnosis of cervical pre-cancerous as well as cancer lesions and incorporates their relative assessment. The study highlights the addition of an ensemble classifier with three of the best deep learning models for yielding a high accuracy multi-class classification. All six deep models including ensemble classifier were trained and validated on a hospital-based pap smear dataset collected through both conventional and liquid-based cytology methods along with the benchmark Herlev dataset.

A shape context fully convolutional neural network for segmentation and classification of cervical nuclei in Pap smear images.

Pap smear is often employed as a screening test for diagnosing cervical pre-cancerous and cancerous lesions. Accurate identification of dysplastic changes amongst the cervical cells in a Pap smear image is thus essential for rapid diagnosis and prognosis. Manual pathological observations used in clinical practice require exhaustive analysis of thousands of cell nuclei in a whole slide image to visualize the dysplastic nuclear changes which make the process tedious and time-consuming. Automated nuclei segmentation and classification exist but are challenging to overcome issues like nuclear intra-class variability and clustered nuclei separation. To address such challenges, we put forward an application of instance segmentation and classification framework built on an Unet architecture by adding residual blocks, densely connected blocks and a fully convolutional layer as a bottleneck between encoder-decoder blocks for Pap smear images. The number of convolutional layers in the standard Unet has been replaced by densely connected blocks to ensure feature reuse-ability property while the introduction of residual blocks in the same attempts to converge the network more rapidly. The framework provides simultaneous nuclei instance segmentation and also predicts the type of nucleus class as belonging to normal and abnormal classes from the smear images. It works by assigning pixel-wise labels to individual nuclei in a whole slide image which enables identifying multiple nuclei belonging to the same or different class as individual distinct instances. Introduction of a joint loss function in the framework overcomes some trivial cell level issues on clustered nuclei separation. To increase the robustness of the overall framework, the proposed model is preceded with a stacked auto-encoder based shape representation learning model. The proposed model outperforms two state-of-the-art deep learning models Unet and Mask_RCNN with an average Zijdenbos similarity index of 97 % related to segmentation along with binary classification accuracy of 98.8 %. Experiments on hospital-based datasets using liquid-based cytology and conventional pap smear methods along with benchmark Herlev datasets proved the superiority of the proposed method than Unet and Mask_RCNN models in terms of the evaluation metrics under consideration.

Liquid based-cytology Pap smear dataset for automated multi-class diagnosis of pre-cancerous and cervical cancer lesions.

While a publicly available benchmark dataset provides a base for the development of new algorithms and comparison of results, hospital-based data collected from the real-world clinical setup is also very important in AI-based medical research for automated disease diagnosis, prediction or classifications as per standard protocol. Primary data must be constantly updated so that the developed algorithms achieve as much accuracy as possible in the regional context. This dataset would support research work related to image segmentation and final classification for a complete decision support system (https://doi.org/10.1016/j.tice.2020.101347) [1]. Liquid-based cytology (LBC) is one of the cervical screening tests. The repository consists of a total of 963 LBC images sub-divided into four sets representing the four classes: NILM, LSIL, HSIL, and SCC. It comprises pre-cancerous and cancerous lesions related to cervical cancer as per standards under The Bethesda System (TBS). The images were captured in 40x magnification using Leica ICC50 HD microscope collected with due consent from 460 patients visiting the O&G department of the public hospital with various gynaecological problems. The images were then viewed and categorized by experts of the pathology department.

Deregulated TNF-Alpha Levels Along with HPV Genotype 16 Infection Are Associated with Pathogenesis of Cervical Neoplasia in Northeast Indian Patients.

Multiple factors are associated with human papillomavirus (HPV) infection related cervical anomalies and its progression to cervical carcinoma (CaCx), but data vary with respect to the underlying HPV genotype and with population being studied. No data are available regarding the role of immunological imbalance in HPV infected CaCx pathogenesis from Northeast India, which has an ethnically distinct population, and was aimed to be addressed through this study. The study included 76 CaCx cases, 25 cervical intraepithelial neoplasia (CIN) cases, and 50 healthy female controls. HPV screening and genotyping were performed by PCR. Differential expression of tumor necrosis factor alpha (TNF-α) was studied at serum level by enzyme-linked immunosorbent assay and tissue level by immunohistochemistry and messenger RNA (mRNA) level by real-time PCR. The data were correlated with interferon gamma (IFN-γ) and NF-κßp65 levels at protein level, as well as HPV16 E6 and E7 expression at transcript level statistically. HPV infection and HPV16 genotype were predominant in the studied cohort. TNF-α was found to be downregulated at both mRNA and protein levels in CaCx cases compared to controls; and the gradient downregulation correlated with progression of the disease from normal→CIN→CaCx. TNF-α expression correlated with insufficient modulation of both IFN-γ and NF-κßp65. The HPV16 E6 and E7 transcripts were found to be sharply upregulated in CaCx cases strongly inversely correlated with the TNF-α expression. Significant role of TNF-α downregulation associated with insufficient IFN-γ and total NF-κßp65 modulation and the resulting significant upregulation of viral transcripts E6 and E7 are key to the HPV16 infection mediated CaCx pathogenesis in northeast Indian patients.

Associative role of TYMS6bpdel polymorphism and resulting hyperhomocysteinemia in the pathogenesis of preterm delivery and associated complications: A study from Northeast India.

Aberrations including genetic alterations in folate pathway are detrimental in multiple disease pathogenesis, including pregnancy. The present study is based on the screening of the associative role of TYMS 14946bp deletion(del) polymorphism and associated hyperhomocysteinemia in susceptibility to preterm delivery (PTD), which is strongly associated with neonatal mortality and morbidity. METHODS: A total of 209 PTD cases {extremely preterm (n=22), very preterm (n=43) and moderately preterm (n=144)} and 194 term delivery cases were evaluated for TYMS 14946bp deletion and its association with preterm delivery, pregnancy outcome, baby birth weight and homocysteine estimation. RESULTS: The results showed that the distribution of TYMS 14946bp del/del genotype significantly increased the risk of PTD [OR=2.801, p=0.002] and is associated with fetal death. The TYMS 6bp ins/del and 6bp del/del genotype was associated with low birth weight (LBW) compared to 6bp ins/ins genotype in both term and PTD groups, and in case of very (p=0.024) and moderately (p=0.045) sub-cohorts of PTD significantly. Elevated serum homocysteine levels were significantly associated with PTD (p<0.001) and fetal death (p=0.013); and was also found to significantly correlate with TYMS 14946bp del/del genotype in all the pregnancy cases (p=0.008). TYMS 6bp del/del genotype was associated with higher homocysteine levels compared to ins/ins (p=0.005) and ins/del (p=0.062) genotypes within the PTD group. CONCLUSION: The study provides crucial information regarding the importance of TYMS6bpdel/del genotype and associated hyperhomocysteinemia in susceptibility to PTD, fetal death and LBW; and thus indicating their prognostic significance of TYMS 6bp del/del genotype in PTD which is of clinical importance.

Preterm delivery and associated negative pregnancy outcome - A tale of faulty progesterone receptor signalling pathway and linked derailed immunomodulation: A study from Northeast India.

Preterm delivery (PTD) is one of the potent contributor of neonatal mortality and morbidity, and the underlying cause in some situation is elusive. This study attempts to delineate the association of deregulation in progesterone receptor (PR) pathway and deleterious immune responses in predisposing patients to PTD in Northeast India, a region with high rate of PTD cases. A total of 109 cases of PTD and 100 term delivery cases were enrolled with all clinical details. The PTD cases were stratified based on gestation age at delivery. The differential expression of PR and key downstream effectors and cytokines were evaluated for correlation with PTD susceptibility, gestational period, and pregnancy outcome. The results indicated a sharp downregulation in PR expression is associated with PTD susceptibility, lower gestational period and negative pregnancy outcome. The PR downstream effector PIBF was also found to be downregulated in PTD, and is associated with gestational period and negative pregnancy outcome. The downregulation of PR and PIBF expression was found to correlate with a predominant Th1 state with higher CD56+NK cell counts and pro-inflammatory burst lead by hyper TNF-α, NF-kB and IFNγ expression, and complicated by lower IL10 expression, contributing to PTD as well as negative pregnancy outcome in the PTD cases. TNF-α expression in placenta inversely correlated with placental PR expression. To conclude, deregulation in PR pathway is a hallmark of preterm delivery and negative pregnancy outcome. Differential expression of several markers such as PR, PIBF and TNF-α has prognostic significance, and hence is of clinical significance.

MTHFR (C677T) polymorphism and PR (PROGINS) mutation as genetic factors for preterm delivery, fetal death and low birth weight: A Northeast Indian population based study.

UNLABELLED: Preterm delivery (PTD) is one of the most significant contributors to neonatal mortality, morbidity, and long-term adverse consequences for health; with highest prevalence reported from India. The incidence of PTD is alarmingly very high in Northeast India. The objective of the present study is to evaluate the associative role of MTHFR gene polymorphism and progesterone receptor (PR) gene mutation (PROGINS) in susceptibility to PTD, negative pregnancy outcome and low birth weights (LBW) in Northeast Indian population. METHODS: A total of 209 PTD cases {extreme preterm (< 28 weeks of gestation, n = 22), very preterm (28-32 weeks of gestation, n = 43) and moderate preterm (32-37 weeks of gestation, n = 144) and 194 term delivery cases were studied for MTHFR C677T polymorphism and PR (PROGINS) gene mutation. Statistical analysis was performed using SPSS software. RESULTS: Distribution of MTHFR and PR mutation was higher in PTD cases. Presence of MTHFR C677T polymorphism was significantly associated and resulted in the increased risk of PTD (p < 0.001), negative pregnancy outcome (p < 0.001) and LBW (p = 0.001); more significantly in extreme and very preterm cases. Presence of PR mutation (PROGINS) also resulted in increased risk of PTD and negative pregnancy outcome; but importantly was found to increase the risk of LBW significantly in case of very preterm (p < 0.001) and moderately preterm (p < 0.001) delivery cases. CONCLUSIONS: Both MTHFR C677T polymorphism and PR (PROGINS) mutation are evident genetic risk factors associated with the susceptibility of PTD, negative pregnancy outcome and LBW. MTHFR C677T may be used as a prognostic marker to stratify subpopulation of pregnancy cases predisposed to PTD; thereby controlling the risks associated with PTD.