Integration of Mendelian randomisation and systems biology models to identify novel blood-based biomarkers for stroke

Stroke is the second largest cause of mortality in the world. Genome-wide association studies (GWAS) have identified some genetic variants associated with stroke risk, but their putative functional causal genes are unknown. Hence, we aimed to identify putative functional causal gene biomarkers of stroke risk. We used a summary-based Mendelian randomisation (SMR) approach to identify the pleiotropic associations of genetically regulated traits (i.e., gene expression and DNA methylation) with stroke risk. Using SMR approach, we integrated cis-expression quantitative loci (cis-eQTLs) and cis-methylation quantitative loci (cis-mQTLs) data with GWAS summary statistics of stroke. We also utilised heterogeneity in dependent instruments (HEIDI) test to distinguish pleiotropy from linkage from the observed associations identified through SMR analysis. Our integrative SMR analyses and HEIDI test revealed 45 candidate biomarker genes (FDR < 0.05; P_HEIDI>0.01) that were pleiotropically or potentially causally associated with stroke risk. Of those candidate biomarker genes, 10 genes (HTRA1, PMF1, FBN2, C9orf84, COL4A1, BAG4, NEK6, SH2B3, SH3PXD2A, ACAD10) were differentially expressed in genome-wide blood transcriptomics data from stroke and healthy individuals (FDR<0.05). Functional enrichment analysis of the identified candidate biomarker genes revealed gene ontologies and pathways involved in stroke, including "cell aging", "metal ion binding" and "oxidative damage". Based on the evidence of genetically regulated expression of genes through SMR and directly measured expression of genes in blood, our integrative analysis suggests ten genes as blood biomarkers of stroke risk. Furthermore, our study provides a better understanding of the influence of DNA methylation on the expression of genes linked to stroke risk.

Evaluation of prognostic risk models for postoperative pulmonary complications in adult patients undergoing major abdominal surgery: a systematic review and international external validation cohort study

BACKGROUND

Stratifying risk of postoperative pulmonary complications after major abdominal surgery allows clinicians to modify risk through targeted interventions and enhanced monitoring. In this study, we aimed to identify and validate prognostic models against a new consensus definition of postoperative pulmonary complications.

METHODS

We did a systematic review and international external validation cohort study. The systematic review was done in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. We searched MEDLINE and Embase on March 1, 2020, for articles published in English that reported on risk prediction models for postoperative pulmonary complications following abdominal surgery. External validation of existing models was done within a prospective international cohort study of adult patients (≥18 years) undergoing major abdominal surgery. Data were collected between Jan 1, 2019, and April 30, 2019, in the UK, Ireland, and Australia. Discriminative ability and prognostic accuracy summary statistics were compared between models for the 30-day postoperative pulmonary complication rate as defined by the Standardised Endpoints in Perioperative Medicine Core Outcome Measures in Perioperative and Anaesthetic Care (StEP-COMPAC). Model performance was compared using the area under the receiver operating characteristic curve (AUROCC).

FINDINGS

In total, we identified 2903 records from our literature search; of which, 2514 (86·6%) unique records were screened, 121 (4·8%) of 2514 full texts were assessed for eligibility, and 29 unique prognostic models were identified. Nine (31·0%) of 29 models had score development reported only, 19 (65·5%) had undergone internal validation, and only four (13·8%) had been externally validated. Data to validate six eligible models were collected in the international external validation cohort study. Data from 11 591 patients were available, with an overall postoperative pulmonary complication rate of 7·8% (n=903). None of the six models showed good discrimination (defined as AUROCC ≥0·70) for identifying postoperative pulmonary complications, with the Assess Respiratory Risk in Surgical Patients in Catalonia score showing the best discrimination (AUROCC 0·700 [95% CI 0·683-0·717]).

INTERPRETATION

In the pre-COVID-19 pandemic data, variability in the risk of pulmonary complications (StEP-COMPAC definition) following major abdominal surgery was poorly described by existing prognostication tools. To improve surgical safety during the COVID-19 pandemic recovery and beyond, novel risk stratification tools are required.

FUNDING

British Journal of Surgery Society.

Forecasting Gastric Cancer Diagnosis, Prognosis, and Drug Repurposing with Novel Gene Expression Signatures

Gastric cancer (GC) is a prevalent disease worldwide with high mortality and poor treatment success. Early diagnosis of GC and forecasting of its prognosis with the use of biomarkers are directly relevant to achieve both personalized/precision medicine and innovation in cancer therapeutics. Gene expression signatures offer one of the promising avenues of research in this regard, as well as guiding drug repurposing analyses in cancers. Using publicly accessible gene expression datasets from the Gene Expression Omnibus and The Cancer Genome Atlas (TCGA), we report here original findings on co-expressed gene modules that are differentially expressed between 133 GC samples and 46 normal tissues, and thus hold potential for novel diagnostic candidates for GC. Furthermore, we found two co-expressed gene modules were significantly associated with poor survival outcomes revealed by survival analysis of the RNA-Seq TCGA datasets. We identified STAT6 (signal transducer and activator of transcription 6) as a key regulator of the identified gene modules. Finally, potential therapeutic drugs that may target and reverse the expression of the identified altered gene modules examined for drug repurposing analyses and the unraveled compounds were further investigated in the literature by the text mining method. Accordingly, we found several repurposed drug candidates, including Trichostatin A, Vorinostat, Parthenolide, Panobinostat, Brefeldin A, Belinostat, and Danusertib. Through text mining analysis and literature search validation, Belinostat and Danusertib were suggested as possible novel drug candidates for GC treatment. These findings collectively inform multiple aspects of GC medical management, including its precision diagnosis, forecasting of possible outcomes, and drug repurposing for innovation in GC medicines in the future.

Menstrual Hygiene Practice among Rural Adolescent School Girls: An Intervention Study

Menstruation, an essential part of the reproductive cycle, is experienced by all adolescent girls. Poor menstrual hygiene is associated with serious ill-health and drop-out from school. An intervention study was carried out to evaluate the outcome of health education on menstrual hygiene practice among randomly selected 45 adolescent girls attending in a purposively selected Shomospur Girls' High School, Khoksha at Kushtia district in 2018. Data were collected before and after intervention by pre-tested, semi-structured interview schedule with a view to explore the practice during menstruation. Majority 23(51.11%) subjects were between 10 to 14 years of age with a mean of 14.42±1.03 years. Mean age at menarche was 12.38±1.15 years. During menstrual period, adolescent girls used to refrain from performing daily household chores (34), skip from attending school (26), stay alone (26) and avoid to mix with others (25). Over two-thirds 31(68.89%) girls forbade nutritious foods like fish, meat, egg and tamarinds. As many as 39(86.67%) girls used to clean their genitalia, and everybody used to have regular bath and washing hands after changing menstrual absorbent. Generally, most of the girls (39, 86.67%) accustomed to use the reusable absorbent. Nearly one third 15(33.33%) girls used to dry the reusable absorbent in room corner, while 5(11.11) in shaded area and 3(6.67%) in the toilet. A considerable number of girls (12) stored the reusable materials in room corner and under the bed. At least 27(60.00%) girls did not use to change menstrual absorbent at school. While after intervention, none of the girls hesitated to attend others and felt safe to perform daily household chores. Moreover, they were confident to attend school and need not to stay alone during menstruation. Cent percent girls practiced to have food containing iron, vitamin C, and drank plenty of water. Warm water with soap and/or detergent was used for cleaning sanitary cloths. An overwhelming number 42(93.33%) of girls used to dry reusable materials in sunlight with a statistically significant difference (p<0.05). Change of behaviour as to frequency of changing sanitary pad (p<0.05) and methods of disposal of sanitary materials was revealed. It can be concluded that imparting knowledge to adolescent girls is effective to keep away from harmful social behaviours, food intake practice and use of sanitary napkin, replace of menstrual absorbent at regular interval and cleaning and storage of reusable sanitary materials with their hygienic disposal.

A transcriptome-wide association study identifies novel blood-based gene biomarker candidates for Alzheimer's disease risk

Alzheimer's disease (ad) adversely affects the health, quality of life and independence of patients. There is a critical need to identify novel blood gene biomarkers for ad risk assessment. We performed a transcriptome-wide association study to identify biomarker candidates for ad risk. We leveraged two sets of gene expression prediction models of blood developed using different reference panels and modeling strategies. By applying the prediction models to a meta-GWAS including 71 880 (proxy) cases and 383 378 (proxy) controls, we identified significant associations of genetically determined expression of 108 genes in blood with ad risk. Of these, 15 genes were differentially expressed between ad patients and controls with concordant directions in measured expression data. With evidence from the analyses based on both genetic instruments and directly measured expression levels, this study identifies 15 genes with strong support as biomarkers in blood for ad risk, which may enhance ad risk assessment and mechanism-focused studies.

Integrated multi-omics approach identified molecular mechanism and pathogenetic processes of COVID-19 that affect patient with Parkinson's disorder

The novel coronavirus named SARS-CoV-2 has emerged at the end of 2019, which causes coronavirus disease (COVID-2019). Recent case reports of COVID-19 patients have revealed the onset of Parkinson's disease (PD) symptoms in patients who do not have a family history of the PD. However, till recently, no genetic impact or mechanisms that may induce Parkinsonism in COVID-19 patients or after COVID-19 have been found.. This study aimed to detect the commonly dysregulated genes, transcriptional regulators, and pathways between PD and COVID-19. We integrated genome-wide transcriptomic datasets from peripheral blood mononuclear cells (PBMC) samples from COVID-19 and PD and associated pathways. Our study revealed 81 upregulated and 48 downregulated differentially expressed genes (DEGs) shared between PD and COVID-19. These dysregulated genes were involved in key pathways "mitochondrion structure organization", "cell activation in immune response", and "signalling by interleukins". Our analysis showed RELA, TP53 and SP1 TFs that may regulate the upregulated DEGs. We have discovered key dysregulated genes and characterized the biological processes of commonly dysregulated in COVID-19 and PD, which could be used for the design of personalized treatment of PD following COVID-19.

Discovering common pathogenetic processes between COVID-19 and diabetes mellitus by differential gene expression pattern analysis

Coronavirus disease 2019 (COVID-19) is an infectious disease caused by the newly discovered coronavirus, SARS-CoV-2. Increased severity of COVID-19 has been observed in patients with diabetes mellitus (DM). This study aimed to identify common transcriptional signatures, regulators and pathways between COVID-19 and DM. We have integrated human whole-genome transcriptomic datasets from COVID-19 and DM, followed by functional assessment with gene ontology (GO) and pathway analyses. In peripheral blood mononuclear cells (PBMCs), among the upregulated differentially expressed genes (DEGs), 32 were found to be commonly modulated in COVID-19 and type 2 diabetes (T2D), while 10 DEGs were commonly downregulated. As regards type 1 diabetes (T1D), 21 DEGs were commonly upregulated, and 29 DEGs were commonly downregulated in COVID-19 and T1D. Moreover, 35 DEGs were commonly upregulated in SARS-CoV-2 infected pancreas organoids and T2D islets, while 14 were commonly downregulated. Several GO terms were found in common between COVID-19 and DM. Prediction of the putative transcription factors involved in the upregulation of genes in COVID-19 and DM identified RELA to be implicated in both PBMCs and pancreas. Here, for the first time, we have characterized the biological processes and pathways commonly dysregulated in COVID-19 and DM, which could be in the next future used for the design of personalized treatment of COVID-19 patients suffering from DM as comorbidity.

rMisbeta: A robust missing value imputation approach in transcriptomics and metabolomics data

Transcriptomics and metabolomics data often contain missing values or outliers due to limitations of the data acquisition techniques. Most of the statistical methods require complete datasets for downstream analysis. A number of methods have been developed for missing value imputation using the classical mean and variance based on maximum likelihood estimators, which are not robust against outliers. Consequently, the performance of these methods deteriorates in the presence of outliers. Hence precise imputation of missing values and outliers handling are both concurrently important. Therefore, in this paper, we developed a robust iterative approach using robust estimators based on the minimum beta divergence method, which simultaneously impute missing values and outliers. We investigate the performance of the proposed method in a comparison with six frequently used missing value imputation methods such as Zero, KNN, robust SVD, EM, random forest (RF) and weighted least square approach (WLSA) through feature selection using both simulated and real datasets. Ten performance indices were used to explore the optimal method such as Frobenius norm (FOBN), accuracy (ACC), sensitivity (SN), specificity (SP), positive predictive value (PPV), negative predictive value (NPV), detection rate (DR), misclassification error rate (MER), the area under the ROC curve (AUC) and computational runtime. Evaluation based on both simulated and real data suggests the superiority of the proposed method over the other traditional methods in terms of various rates of outliers and missing values. The suggested approach also keeps almost equal performance in absence of outliers with the other methods. The proposed method is accurate, simple, and consumes lower computational time compared to the other methods. Therefore, our recommendation is to apply the proposed procedure for large-scale transcriptomics and metabolomics data analysis. The computational tool has been implemented in an R package, which is publicly available from https://CRAN.R-project.org/package=rMisbeta.

Network-based transcriptomic analysis identifies the genetic effect of COVID-19 to chronic kidney disease patients: A bioinformatics approach

COVID-19 has emerged as global health threats. Chronic kidney disease (CKD) patients are immune-compromised and may have a high risk of infection by the SARS-CoV-2. We aimed to detect common transcriptomic signatures and pathways between COVID-19 and CKD by systems biology analysis. We analyzed transcriptomic data obtained from peripheral blood mononuclear cells (PBMC) infected with SARS-CoV-2 and PBMC of CKD patients. We identified 49 differentially expressed genes (DEGs) which were common between COVID-19 and CKD. The gene ontology and pathways analysis showed the DEGs were associated with "platelet degranulation", "regulation of wound healing", "platelet activation", "focal adhesion", "regulation of actin cytoskeleton" and "PI3K-Akt signalling pathway". The protein-protein interaction (PPI) network encoded by the common DEGs showed ten hub proteins (EPHB2, PRKAR2B, CAV1, ARHGEF12, HSP90B1, ITGA2B, BCL2L1, E2F1, TUBB1, and C3). Besides, we identified significant transcription factors and microRNAs that may regulate the common DEGs. We investigated protein-drug interaction analysis and identified potential drugs namely, aspirin, estradiol, rapamycin, and nebivolol. The identified common gene signature and pathways between COVID-19 and CKD may be therapeutic targets in COVID-19 patients with CKD comorbidity.

Analysis of SYK Gene as a Prognostic Biomarker and Suggested Potential Bioactive Phytochemicals as an Alternative Therapeutic Option for Colorectal Cancer: An In-Silico Pharmaco-Informatics Investigation

BACKGROUND

SYK gene regulates the expression of SYK kinase (Spleen tyrosine kinase), an important non-receptor protein-tyrosine kinase for immunological receptor-mediated signaling, which is also considered a tumor growth metastasis initiator. An onco-informatics analysis was adopted to evaluate the expression and prognostic value of the SYK gene in colorectal cancer (CRC), the third most fatal cancer type; of late, it may be a biomarker as another targeted site for CRC. In addition, identify the potential phytochemicals that may inhibit the overexpression of the SYK kinase protein and minimize the human CRC.

MATERIALS & METHODS

The differential expression of the SYK gene was analyzed using several transcriptomic databases, including Oncomine, UALCAN, GENT2, and GEPIA2. The server cBioPortal was used to analyze the mutations and copy number alterations, whereas GENT2, Gene Expression Profiling Interactive Analysis (GEPIA), Onco-Lnc, and PrognoScan were used to examine the survival rate. The protein-protein interaction network of SYK kinase and its co-expressed genes was conducted via Gene-MANIA. Considering the SYK kinase may be the targeted site, the selected phytochemicals were assessed by molecular docking using PyRx 0.8 packages. Molecular interactions were also observed by following the Ligplot+ version 2.2. YASARA molecular dynamics simulator was applied for the post-validation of the selected phytochemicals.

RESULTS

Our result reveals an increased level of mRNA expression of the SYK gene in colorectal adenocarcinoma (COAD) samples compared to those in normal tissues. A significant methylation level and various genetic alterations recurrence of the SYK gene were analyzed where the fluctuation of the SYK alteration frequency was detected across different CRC studies. As a result, a lower level of SYK expression was related to higher chances of survival. This was evidenced by multiple bioinformatics platforms and web resources, which demonstrated that the SYK gene can be a potential biomarker for CRC. In this study, aromatic phytochemicals, such as kaempferol and glabridin that target the macromolecule (SYK kinase), showed higher stability than the controls, and we have estimated that these bioactive potential phytochemicals might be a useful option for CRC patients after the clinical trial.

CONCLUSIONS

Our onco-informatics investigation suggests that the SYK gene can be a potential prognostic biomarker of CRC. On the contrary, SYK kinase would be a major target, and all selected compounds were validated against the protein using in-silico drug design approaches. Here, more in vitro and in vivo analysis is required for targeting SYK protein in CRC.

A network-based systems biology approach for identification of shared Gene signatures between male and female in COVID-19 datasets

The novel coronavirus (SARS-CoV-2) has expanded rapidly worldwide. Now it has covered more than 150 countries worldwide. It is referred to as COVID-19. SARS-CoV-2 mainly affects the respiratory systems of humans that can lead up to serious illness or even death in the presence of different comorbidities. However, most COVID-19 infected people show mild to moderate symptoms, and no medication is suggested. Still, drugs of other diseases have been used to treat COVID-19. Nevertheless, the absence of vaccines and proper drugs against the COVID-19 virus has increased the mortality rate. Albeit sex is a risk factor for COVID-19, none of the studies considered this risk factor for identifying biomarkers from the RNASeq count dataset. Men are more likely to undertake severe symptoms with different comorbidities and show greater mortality compared with women. From this standpoint, we aim to identify shared gene signatures between males and females from the human COVID-19 RNAseq count dataset of peripheral blood cells using a robust voom approach. We identified 1341 overlapping DEGs between male and female datasets. The gene ontology (GO) annotation and pathway enrichment analysis revealed that DEGs are involved in various BP categories such as nucleosome assembly, DNA conformation change, DNA packaging, and different KEGG pathways such as cell cycle, ECM-receptor interaction, progesterone-mediated oocyte maturation, etc. Ten hub-proteins (UBC, KIAA0101, APP, CDK1, SUMO2, SP1, FN1, CDK2, E2F1, and TP53) were unveiled using PPI network analysis. The top three miRNAs (mir-17-5p, mir-20a-5p, mir-93-5p) and TFs (PPARG, E2F1 and KLF5) were uncovered. In conclusion, the top ten significant drugs (roscovitine, curcumin, simvastatin, fulvestrant, troglitazone, alvocidib, L-alanine, tamoxifen, serine, and doxorubicin) were retrieved using drug repurposing analysis of overlapping DEGs, which might be therapeutic agents of COVID-19.

Bioinformatics and machine learning approach identifies potential drug targets and pathways in COVID-19

Current coronavirus disease-2019 (COVID-19) pandemic has caused massive loss of lives. Clinical trials of vaccines and drugs are currently being conducted around the world; however, till now no effective drug is available for COVID-19. Identification of key genes and perturbed pathways in COVID-19 may uncover potential drug targets and biomarkers. We aimed to identify key gene modules and hub targets involved in COVID-19. We have analyzed SARS-CoV-2 infected peripheral blood mononuclear cell (PBMC) transcriptomic data through gene coexpression analysis. We identified 1520 and 1733 differentially expressed genes (DEGs) from the GSE152418 and CRA002390 PBMC datasets, respectively (FDR < 0.05). We found four key gene modules and hub gene signature based on module membership (MMhub) statistics and protein-protein interaction (PPI) networks (PPIhub). Functional annotation by enrichment analysis of the genes of these modules demonstrated immune and inflammatory response biological processes enriched by the DEGs. The pathway analysis revealed the hub genes were enriched with the IL-17 signaling pathway, cytokine-cytokine receptor interaction pathways. Then, we demonstrated the classification performance of hub genes (PLK1, AURKB, AURKA, CDK1, CDC20, KIF11, CCNB1, KIF2C, DTL and CDC6) with accuracy >0.90 suggesting the biomarker potential of the hub genes. The regulatory network analysis showed transcription factors and microRNAs that target these hub genes. Finally, drug-gene interactions analysis suggests amsacrine, BRD-K68548958, naproxol, palbociclib and teniposide as the top-scored repurposed drugs. The identified biomarkers and pathways might be therapeutic targets to the COVID-19.

Diseasome and comorbidities complexities of SARS-CoV-2 infection with common malignant diseases

With the increasing number of immunoinflammatory complexities, cancer patients have a higher risk of serious disease outcomes and mortality with SARS-CoV-2 infection which is still not clear. In this study, we aimed to identify infectome, diseasome and comorbidities between COVID-19 and cancer via comprehensive bioinformatics analysis to identify the synergistic severity of the cancer patient for SARS-CoV-2 infection. We utilized transcriptomic datasets of SARS-CoV-2 and different cancers from Gene Expression Omnibus and Array Express Database to develop a bioinformatics pipeline and software tools to analyze a large set of transcriptomic data and identify the pathobiological relationships between the disease conditions. Our bioinformatics approach revealed commonly dysregulated genes (MARCO, VCAN, ACTB, LGALS1, HMOX1, TIMP1, OAS2, GAPDH, MSH3, FN1, NPC2, JUND, CHI3L1, GPNMB, SYTL2, CASP1, S100A8, MYO10, IGFBP3, APCDD1, COL6A3, FABP5, PRDX3, CLEC1B, DDIT4, CXCL10 and CXCL8), common gene ontology (GO), molecular pathways between SARS-CoV-2 infections and cancers. This work also shows the synergistic complexities of SARS-CoV-2 infections for cancer patients through the gene set enrichment and semantic similarity. These results highlighted the immune systems, cell activation and cytokine production GO pathways that were observed in SARS-CoV-2 infections as well as breast, lungs, colon, kidney and thyroid cancers. This work also revealed ribosome biogenesis, wnt signaling pathway, ribosome, chemokine and cytokine pathways that are commonly deregulated in cancers and COVID-19. Thus, our bioinformatics approach and tools revealed interconnections in terms of significant genes, GO, pathways between SARS-CoV-2 infections and malignant tumors.

Identification of Common Pathogenetic Processes between Schizophrenia and Diabetes Mellitus by Systems Biology Analysis

Schizophrenia (SCZ) is a psychiatric disorder characterized by both positive symptoms (i.e., psychosis) and negative symptoms (such as apathy, anhedonia, and poverty of speech). Epidemiological data show a high likelihood of early onset of type 2 diabetes mellitus (T2DM) in SCZ patients. However, the molecular processes that could explain the epidemiological association between SCZ and T2DM have not yet been characterized. Therefore, in the present study, we aimed to identify underlying common molecular pathogenetic processes and pathways between SCZ and T2DM. To this aim, we analyzed peripheral blood mononuclear cell (PBMC) transcriptomic data from SCZ and T2DM patients, and we detected 28 differentially expressed genes (DEGs) commonly modulated between SCZ and T2DM. Inflammatory-associated processes and membrane trafficking pathways as common biological processes were found to be in common between SCZ and T2DM. Analysis of the putative transcription factors involved in the regulation of the DEGs revealed that STAT1 (Signal Transducer and Activator of Transcription 1), RELA (v-rel reticuloendotheliosis viral oncogene homolog A (avian)), NFKB1 (Nuclear Factor Kappa B Subunit 1), and ERG (ETS-related gene) are involved in the expression of common DEGs in SCZ and T2DM. In conclusion, we provide core molecular signatures and pathways that are shared between SCZ and T2DM, which may contribute to the epidemiological association between them.

Integrative transcriptomics analysis of lung epithelial cells and identification of repurposable drug candidates for COVID-19

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) disease, more commonly COVID-19 has emerged as a world health pandemic. There are couples of treatment methods for COVID-19, however, well-established drugs and vaccines are urgently needed to treat the COVID-19. The new drug discovery is a tremendous challenge; repurposing of existing drugs could shorten the time and expense compared with de novo drug development. In this study, we aimed to decode molecular signatures and pathways of the host cells in response to SARS-CoV-2 and the rapid identification of repurposable drugs using bioinformatics and network biology strategies. We have analyzed available transcriptomic RNA-seq COVID-19 data to identify differentially expressed genes (DEGs). We detected 177 DEGs specific for COVID-19 where 122 were upregulated and 55 were downregulated compared to control (FDR<0.05 and logFC ≥ 1). The DEGs were significantly involved in the immune and inflammatory response. The pathway analysis revealed the DEGs were found in influenza A, measles, cytokine signaling in the immune system, interleukin-4, interleukin -13, interleukin -17 signaling, and TNF signaling pathways. Protein-protein interaction analysis showed 10 hub genes (BIRC3, ICAM1, IRAK2, MAP3K8, S100A8, SOCS3, STAT5A, TNF, TNFAIP3, TNIP1). The regulatory network analysis showed significant transcription factors (TFs) that target DEGs, namely FOXC1, GATA2, YY1, FOXL1, NFKB1. Finally, drug repositioning analysis was performed with these 10 hub genes and showed that in silico validated three drugs with molecular docking. The transcriptomics signatures, molecular pathways, and regulatory biomolecules shed light on candidate biomarkers and drug targets which have potential roles to manage COVID-19. ICAM1 and TNFAIP3 were the key hubs that have demonstrated good binding affinities with repurposed drug candidates. Dabrafenib, radicicol, and AT-7519 were the top-scored repurposed drugs that showed efficient docking results when they tested with hub genes. The identified drugs should be further evaluated in molecular level wet-lab experiments in prior to clinical studies in the treatment of COVID-19.

Emerging Potential of Naturally Occurring Autophagy Modulators Against Neurodegeneration

BACKGROUND

Naturally-occurring products derived from living organisms have been shown to modulate various pharmacological and biological activities. Natural products protect against various diseases, which could be used for therapeutic assistance. Autophagy, a lysosome-mediated self-digestion pathway, has been implicated in a range of pathophysiological conditions and has recently gained attention for its role in several neurodegenerative diseases.

METHODS

In this current review, we emphasized the recent progress made in our understanding of the molecular mechanism of autophagy in different cellular and mouse models using naturally-occurring autophagy modulators for the management of several neurodegenerative diseases.

RESULTS

Accumulating evidence has revealed that a wide variety of natural compounds such as alkaloids, polyphenols, terpenoids, xanthonoids, flavonoids, lignans, disaccharides, glycolipoproteins, and saponins are involved in the modulation of the autophagy signaling pathway. These natural products have been used to treat various neurodegenerative diseases such as Alzheimer's disease, Parkinson's disease, Huntington's disease, Amyotrophic lateral sclerosis, spinocerebellar ataxia, neuroblastoma, and glioblastoma. Although a number of synthetic autophagy regulators have been recognized as encouraging neurodegenerative therapeutic candidates, natural autophagy- regulating compounds have been of further interest as potential disease therapeutics, as they cause insignificant side effects.

CONCLUSION

Existing in vitro and in vivo data are promising and highlight that naturally-occurring autophagyregulating compounds play an important role in the prevention and treatment of neurodegenerative disorders.

Detection of molecular signatures and pathways shared in inflammatory bowel disease and colorectal cancer: A bioinformatics and systems biology approach

Emerging evidence indicates IBD is a risk factor for the increasing incidence of colorectal cancer (CRC) development. We used a system biology approach to identify common molecular signatures and pathways that interact between IBD and CRC and the indispensable pathological mechanisms. First, we identified 177 common differentially expressed genes (DEGs) between IBD and CRC. Gene set enrichment, protein-protein, DEGs-transcription factors, DEGs-microRNAs, protein-drug interaction, gene-disease association, Gene Ontology, pathway enrichment analyses were conducted to these common genes. The inclusion of common DEGs with bimolecular networks disclosed hub proteins (LYN, PLCB1, NPSR1, WNT5A, CDC25B, CD44, RIPK2, ASAP1), transcription factors (SCD, SLC7A5, IKZF3, SLC16A1, SLC7A11) and miRNAs (mir-335-5p, mir-26b-5p, mir-124-3p, mir-16-5p, mir-192-5p, mir-548c-3p, mir-29b-3p, mir-155-5p, mir-21-5p, mir-15a-5p). Analysis of the interaction between protein and drug discovered ASAP1 interacts with cysteine sulfonic acid and double oxidized cysteine drug compounds. Gene-disease association analysis retrieved ASAP1 also associated with pulmonary and bladder neoplasm diseases.

Network-based computational approach to identify genetic links between cardiomyopathy and its risk factors

Cardiomyopathy (CMP) is a group of myocardial diseases that progressively impair cardiac function. The mechanisms underlying CMP development are poorly understood, but lifestyle factors are clearly implicated as risk factors. This study aimed to identify molecular biomarkers involved in inflammatory CMP development and progression using a systems biology approach. The authors analysed microarray gene expression datasets from CMP and tissues affected by risk factors including smoking, ageing factors, high body fat, clinical depression status, insulin resistance, high dietary red meat intake, chronic alcohol consumption, obesity, high-calorie diet and high-fat diet. The authors identified differentially expressed genes (DEGs) from each dataset and compared those from CMP and risk factor datasets to identify common DEGs. Gene set enrichment analyses identified metabolic and signalling pathways, including MAPK, RAS signalling and cardiomyopathy pathways. Protein-protein interaction (PPI) network analysis identified protein subnetworks and ten hub proteins (CDK2, ATM, CDT1, NCOR2, HIST1H4A, HIST1H4B, HIST1H4C, HIST1H4D, HIST1H4E and HIST1H4L). Five transcription factors (FOXC1, GATA2, FOXL1, YY1, CREB1) and five miRNAs were also identified in CMP. Thus the authors' approach reveals candidate biomarkers that may enhance understanding of mechanisms underlying CMP and their link to risk factors. Such biomarkers may also be useful to develop new therapeutics for CMP.

A Network-Based Bioinformatics Approach to Identify Molecular Biomarkers for Type 2 Diabetes that Are Linked to the Progression of Neurological Diseases

Neurological diseases (NDs) are progressive disorders, the progression of which can be significantly affected by a range of common diseases that present as comorbidities. Clinical studies, including epidemiological and neuropathological analyses, indicate that patients with type 2 diabetes (T2D) have worse progression of NDs, suggesting pathogenic links between NDs and T2D. However, finding causal or predisposing factors that link T2D and NDs remains challenging. To address these problems, we developed a high-throughput network-based quantitative pipeline using agnostic approaches to identify genes expressed abnormally in both T2D and NDs, to identify some of the shared molecular pathways that may underpin T2D and ND interaction. We employed gene expression transcriptomic datasets from control and disease-affected individuals and identified differentially expressed genes (DEGs) in tissues of patients with T2D and ND when compared to unaffected control individuals. One hundred and ninety seven DEGs (99 up-regulated and 98 down-regulated in affected individuals) that were common to both the T2D and the ND datasets were identified. Functional annotation of these identified DEGs revealed the involvement of significant cell signaling associated molecular pathways. The overlapping DEGs (i.e., seen in both T2D and ND datasets) were then used to extract the most significant GO terms. We performed validation of these results with gold benchmark databases and literature searching, which identified which genes and pathways had been previously linked to NDs or T2D and which are novel. Hub proteins in the pathways were identified (including DNM2, DNM1, MYH14, PACSIN2, TFRC, PDE4D, ENTPD1, PLK4, CDC20B, and CDC14A) using protein-protein interaction analysis which have not previously been described as playing a role in these diseases. To reveal the transcriptional and post-transcriptional regulators of the DEGs we used transcription factor (TF) interactions analysis and DEG-microRNAs (miRNAs) interaction analysis, respectively. We thus identified the following TFs as important in driving expression of our T2D/ND common genes: FOXC1, GATA2, FOXL1, YY1, E2F1, NFIC, NFYA, USF2, HINFP, MEF2A, SRF, NFKB1, USF2, HINFP, MEF2A, SRF, NFKB1, PDE4D, CREB1, SP1, HOXA5, SREBF1, TFAP2A, STAT3, POU2F2, TP53, PPARG, and JUN. MicroRNAs that affect expression of these genes include mir-335-5p, mir-16-5p, mir-93-5p, mir-17-5p, mir-124-3p. Thus, our transcriptomic data analysis identifies novel potential links between NDs and T2D pathologies that may underlie comorbidity interactions, links that may include potential targets for therapeutic intervention. In sum, our neighborhood-based benchmarking and multilayer network topology methods identified novel putative biomarkers that indicate how type 2 diabetes (T2D) and these neurological diseases interact and pathways that, in the future, may be targeted for treatment.

Nitrous Oxide versus Medical Air Using in General Anaesthesia During Laparoscopic Cholecystectomy: A Comparative Study

This study was designed to observe the haemodynamic changes, recovery status and cost effectiveness during anaesthesia in laparoscopic cholecystectomy with medical air in comparison to anaesthesia with nitrous oxide associated with maintain of adequate analgesia and was conducted in the department of Analgesia and Intensive Care Medicine, Bangabandhu Sheikh Mujib Medical University (BSMMU), Dhaka, Bangladesh from January 2017 to June 2017. Nitrous oxide is popularly using as an analgesic in current balanced general anesthesia in addition carrier agent for anesthetic. Intraoperative pain intensity depends on many variables including, type of surgery, surgical stimulation and surgical incision. It is difficult to measure intraoperative pain properly under general anesthesia therefore anesthetist depends on the surrogate marker of inadequate analgesia like raised heart rate, blood pressure, sweating and lacrimation. However, unfortunately, these parameters may changes in same direction with light plane of anesthesia, hypercarbia and ongoing procedural status of the patient.

Huge Splenomegaly with Pancytopenia Due to Gaucher's Disease in a 22 Years Old Woman

Gaucher's disease is one of the important storage disorders. It belongs to the lysosomal storage disorders group. There is defective activity of an enzyme named β-glucosidase which ultimately renders the cell of macrophage lineage loaded with glucocerebrosides. There is multi-organ involvement that manifests as hepatosplenomegaly, variable cytopenias, skeletal disorders, neurological features etc. When serum β-glucosidase level is below 15% of mean normal activity Gaucher's disease is confirmed. Enzyme replacement is the definitive treatment. Here we report a case of type 1 or non-neuropathic form Gauchers disease presented with feeling of a lump in left upper abdomen and progressive generalized weakness and hepatosplenomegaly. Her complete blood count revealed pancytopenia and bone trephine biopsy showed Gaucher's cells. Diagnosis and management may be delayed as this disease is rare. Clinical and bone marrow examination is the mainstay of diagnosis. So emphasis should be given in this regard.

Identification of molecular signatures and pathways to identify novel therapeutic targets in Alzheimer's disease: Insights from a systems biomedicine perspective

Alzheimer's disease (AD) is a progressive neurodegenerative disease characterized by the accumulation of amyloid plaques and neurofibrillary tangles in the brain. However, there are no peripheral biomarkers available that can detect AD onset. This study aimed to identify the molecular signatures in AD through an integrative analysis of blood gene expression data. We used two microarray datasets (GSE4226 and GSE4229) comparing peripheral blood transcriptomes of AD patients and controls to identify differentially expressed genes (DEGs). Gene set and protein overrepresentation analysis, protein-protein interaction (PPI), DEGs-Transcription Factors (TFs) interactions, DEGs-microRNAs (miRNAs) interactions, protein-drug interactions, and protein subcellular localizations analyses were performed on DEGs common to the datasets. We identified 25 common DEGs between the two datasets. Integration of genome scale transcriptome datasets with biomolecular networks revealed hub genes (NOL6, ATF3, TUBB, UQCRC1, CASP2, SND1, VCAM1, BTF3, VPS37B), common transcription factors (FOXC1, GATA2, NFIC, PPARG, USF2, YY1) and miRNAs (mir-20a-5p, mir-93-5p, mir-16-5p, let-7b-5p, mir-708-5p, mir-24-3p, mir-26b-5p, mir-17-5p, mir-193-3p, mir-186-5p). Evaluation of histone modifications revealed that hub genes possess several histone modification sites associated with AD. Protein-drug interactions revealed 10 compounds that affect the identified AD candidate biomolecules, including anti-neoplastic agents (Vinorelbine, Vincristine, Vinblastine, Epothilone D, Epothilone B, CYT997, and ZEN-012), a dermatological (Podofilox) and an immunosuppressive agent (Colchicine). The subcellular localization of molecular signatures varied, including nuclear, plasma membrane and cytosolic proteins. In the present study, it was identified blood-cell derived molecular signatures that might be useful as candidate peripheral biomarkers in AD. It was also identified potential drugs and epigenetic data associated with these molecules that may be useful in designing therapeutic approaches to ameliorate AD.

Discovering Biomarkers and Pathways Shared by Alzheimer's Disease and Ischemic Stroke to Identify Novel Therapeutic Targets

Background and objectives: Alzheimer's disease (AD) is a progressive neurodegenerative disease that results in severe dementia. Having ischemic strokes (IS) is one of the risk factors of the AD, but the molecular mechanisms that underlie IS and AD are not well understood. We thus aimed to identify common molecular biomarkers and pathways in IS and AD that can help predict the progression of these diseases and provide clues to important pathological mechanisms. Materials and Methods: We have analyzed the microarray gene expression datasets of IS and AD. To obtain robust results, combinatorial statistical methods were used to analyze the datasets and 26 transcripts (22 unique genes) were identified that were abnormally expressed in both IS and AD. Results: Gene Ontology (GO) and KEGG pathway analyses indicated that these 26 common dysregulated genes identified several altered molecular pathways: Alcoholism, MAPK signaling, glycine metabolism, serine metabolism, and threonine metabolism. Further protein-protein interactions (PPI) analysis revealed pathway hub proteins PDE9A, GNAO1, DUSP16, NTRK2, PGAM2, MAG, and TXLNA. Transcriptional and post-transcriptional components were then identified, and significant transcription factors (SPIB, SMAD3, and SOX2) found. Conclusions: Protein-drug interaction analysis revealed PDE9A has interaction with drugs caffeine, γ-glutamyl glycine, and 3-isobutyl-1-methyl-7H-xanthine. Thus, we identified novel putative links between pathological processes in IS and AD at transcripts levels, and identified possible mechanistic and gene expression links between IS and AD.

Identification of Prognostic Biomarker Signatures and Candidate Drugs in Colorectal Cancer: Insights from Systems Biology Analysis

Background and objectives: Colorectal cancer (CRC) is the second most common cause of cancer-related death in the world, but early diagnosis ameliorates the survival of CRC. This report aimed to identify molecular biomarker signatures in CRC. Materials and Methods: We analyzed two microarray datasets (GSE35279 and GSE21815) from the Gene Expression Omnibus (GEO) to identify mutual differentially expressed genes (DEGs). We integrated DEGs with protein–protein interaction and transcriptional/post-transcriptional regulatory networks to identify reporter signaling and regulatory molecules; utilized functional overrepresentation and pathway enrichment analyses to elucidate their roles in biological processes and molecular pathways; performed survival analyses to evaluate their prognostic performance; and applied drug repositioning analyses through Connectivity Map (CMap) and geneXpharma tools to hypothesize possible drug candidates targeting reporter molecules. Results: A total of 727 upregulated and 99 downregulated DEGs were detected. The PI3K/Akt signaling, Wnt signaling, extracellular matrix (ECM) interaction, and cell cycle were identified as significantly enriched pathways. Ten hub proteins (ADNP, CCND1, CD44, CDK4, CEBPB, CENPA, CENPH, CENPN, MYC, and RFC2), 10 transcription factors (ETS1, ESR1, GATA1, GATA2, GATA3, AR, YBX1, FOXP3, E2F4, and PRDM14) and two microRNAs (miRNAs) (miR-193b-3p and miR-615-3p) were detected as reporter molecules. The survival analyses through Kaplan–Meier curves indicated remarkable performance of reporter molecules in the estimation of survival probability in CRC patients. In addition, several drug candidates including anti-neoplastic and immunomodulating agents were repositioned. Conclusions: This study presents biomarker signatures at protein and RNA levels with prognostic capability in CRC. We think that the molecular signatures and candidate drugs presented in this study might be useful in future studies indenting the development of accurate diagnostic and/or prognostic biomarker screens and efficient therapeutic strategies in CRC.

Network-based approach to identify molecular signatures and therapeutic agents in Alzheimer's disease

Alzheimer's disease (AD) is a dynamic degeneration of the brain with progressive dementia. Considering the uncertainties in its molecular mechanism, in the present study, we employed network-based integrative analyses, and aimed to explore the key molecules and their associations with small drugs to identify potential biomarkers and therapeutic agents for the AD. First of all, we studied a transcriptome dataset and identified 1521 differentially expressed genes (DEGs). Integration of transcriptome data with protein-protein and transcriptional regulatory interactions resulted with central (hub) proteins (UBA52, RAC1, CREBBP, AR, RPS11, SMAD3, RPS6, RPL12, RPL15, and UBC), regulatory transcription factors (FOXC1, GATA2, YY1, FOXL1, NFIC, E2F1, USF2, SRF, PPARG, and JUN) and microRNAs (mir-335-5p, mir-26b-5p, mir-93-5p, mir-124-3p, mir-17-5p, mir-16-5p, mir-20a-5p, mir-92a-3p, mir-106b-5p, and mir-192-5p) as key signaling and regulatory molecules associated with transcriptional changes for the AD. Considering these key molecules as potential therapeutic targets and Connectivity Map (CMap) architecture, candidate small molecular agents (such as STOCK1N-35696) were identified as novel potential therapeutics for the AD. This study presents molecular signatures at RNA and protein levels which might be useful in increasing discernment of the molecular mechanisms, and potential drug targets and therapeutics to design effective treatment strategies for the AD.

External Diameter of Vermiform Appendix in Bangladeshi People of Different Age & Sex

This cross sectional descriptive study was performed on 70 postmortem vermiform appendix (male 34 and female 36) to find out the external diameter of vermiform appendix of Bangladeshi people in different age and sex. The specimens were collected from autopsy laboratory of the Department of Forensic Medicine, Mymensingh Medical College, Mymensingh, Bangladesh from October 2016 to March 2017 by purposive sampling technique. The collected samples were divided into four age groups. They were Group A (upto 20 years), Group B (21 to 40 years), Group C (41 to 60 years) and Group D (above 60 years). Dissection was performed according to standard autopsy techniques. The vermiform appendix was collected and preserved in 10% formol-saline solution. The external diameter of vermiform appendix was measured with the help of digital slide calipers. Three measurements were taken at its base, middle and near the tip (1cm away from the tip) and expressed in mm. The data were analyzed by using student unpaired 't' test and compaired with the findings of other national and international studies and standard text books. It was observed that external diameter of vermiform appendix gradually decreased as age advanced. The mean±SD external diameter of vermiform appendix at base was 6.50±0.82 mm, 6.22±0.60 mm, 6.00±0.51 mm and 5.51±0.57 mm in Group A, B, C & D respectively. The mean±SD external diameter of vermiform appendix at middle was 6.09±0.89 mm, 5.67±0.65 mm, 5.38±0.59 mm and 4.95±0.76 mm in Group A, B, C and D respectively. The mean±SD external diameter of vermiform appendix near the tip (1 cm away from the tip) was 5.73±0.88 mm, 5.21±0.72 mm, 4.81±0.74 mm and 4.34±0.74 mm in Group A, B, C and D respectively. Statistical analysis shows that the mean differences of external diameter of vermiform appendix at its base between Group A&D, B&D were statistically moderately significant at p<0.01 level. Between Group C&D was statistically significant at p<0.05 level and between Group A&B, B&C, A&C were statistically non significant at p = or >0.05 level. Mean differences of external diameter of vermiform appendix at its middle between Group A&D, B&D were statistically moderately significant at p<0.01 level. Between Group A&C was statistically significant at p<0.05 level and between Group A&B, B&C, C&D were statistically non significant at p = or >0.05 level. Mean differences of external diameter of vermiform appendix near its tip (1 cm away from the tip) between Group A&D was statistically highly significant at p<0.001 and mean differences between Group B&D, A&C were statistically moderately significant at p<0.01 level. Between Group A&B was statistically significant at p<0.05 level and between Group B&C, C&D were statistically non significant at p = or >0.05 level. Mean external diameter of vermiform appendix in male was higher than that of female in all age group at its base, middle and near the tip (1cm away from the tip) but mean difference between sexes in the different study groups was statistically non significant at p = or >0.05 level. The present study will help to increase the information pool on the external diameter of vermiform appendix of Bangladeshi people.

Comparative Study between the Use of Multidose Standard Cardioplegia and Long Acting Del Nido Cardioplegia during Intracardiac Repair for Tetralogy of Fallot in Pediatric Patients

Pediatric myocardium is unique from mature myocardium; thus, the use of adult cardioplegia for pediatric cardiac operations may provide suboptimal myocardial protection. It is found that children undergoing heart surgery show evidence of less myocardial damage when del Nido cardioplegia is used instead of a standard cardioplegic solution. Del Nido cardioplegia solution provides a depolarized hyperkalaemic arrest lasting up to 60 minutes, reduces spontaneous and inducible activity during arrest, and prevents hyper contraction during early reperfusion. In this single blind randomized trial, a total of 60 patients underwent intra cardiac repair for TOF in National Institute of Cardiovascular Diseases, Dhaka, Bangladesh from July 2014 to January 2016 fulfilling inclusion and exclusion criteria. They were randomly assigned in two groups- 30 patients in Del Nido group (Group A) and 30 patients in standard group (Group B). Comparison between groups was done by Chi square test and Student's test. All data were analyzed by SPSS 20.0 for windows. P value less than 0.05 was considered as significant. There was statistically significant difference among the patients in terms of mean total initial cardioplegia volume, mean number of additional dose, mean additional dose amount, mean cross clamp time, mean CPB time (331.67±188.07 vs. 458.67±226.62, p=0.022; 0.13±0.35 vs. 1.27±0.89, p=0.000; 23.33±60.76 vs. 336.83±259.6, p=0.000; 45.10±10.35 vs. 59.23±23.21, p=0.003; 89.30±15.73 vs. 111.10±29.23, p=0.001 respectively). Mean post operative serum troponin I level at arrival in ICU and after 24 hours between two groups were statistically significantly different (55.60±32.91 vs. 83.5±58.99; p=0.024 and 13.01±5.84 vs. 18.16±9.51; p=0.014 respectively). The mean ventilation duration, mean ICU stay were also statistically significant. This study showed that cardiac arrest with Del Nido cardioplegia during intra cardiac repair for TOF was associated with improved myocardial protection over standard cardioplegia in terms of reduced CPB and cross clamp times, lower total volume of cardioplegia.

An epidemiological study of injury in a rural community in Bangladesh

Injuries are a focus of public health practice because they pose a serious health threat, occur frequently and are preventable. The evidence regarding injury, its contributing factor and its consequence in rural population of Bangladesh is scarce. Present study aimed to assess the epidemiology of injury in a rural area. The study was conducted in the 'Bairag' Union of Anwara upazilla in Chittagong district of Bangladesh. Data of 6256 individuals were collected from 1016 households. Three structured and standardized questionnaires were used for data collection. The questionnaires were pretested and validated prior to final survey. Severity of injury was assessed based on the number of days with restricted activity and consequences of injury were considered as a measure of severity of injury. A total of six people died due to injury in last one year in the survey, the death tolls to 0.096% (95% CI 0.037%-0.199%). A total of 392 experienced an injury that at least hampered one day's routine activity. Crude prevalence of injury over last one year is calculated to be 6.27% (95% CI 5.69%-6.89%). Of injured subject's majority (77.2%) were aged between 10 to 59 years, 73% were male, 55.6% were of lower class and among them 7.9 % suffered multiple injuries. More than 80% of the incident leading to injury happened during the day, (8 am to 6 pm). Daytime injury mostly occurs in afternoon. The mechanism of injury of 30% subjects were road accident, of 29.5% subjects was slip, trip or fall. In 17.9% victims' mechanism of injury was collision with a person or object. Around 10% had deep cut, 1.4% had superficial cut, and 3.3% patient had burn through contact with heat. Among the injured only 19.2% escaped any physical consequence, 27.2% suffered from decrease in work capacity, 48.1% developed temporary disability, 3.8% developed permanent disability, and 1.2% suffered disfiguration.

Correlation of the Serum Level of Carcinoembryonic Antigen and Prolactin with Different Stages of Colorectal Carcinoma According to Dukes' Staging

Carcinoembryonic antigen (CEA) is well established tumor marker for colorectal cancers worldwide. Recent studies show that serum prolactin level is also raised in colorectal cancers. The purpose of the study is to evaluate the correlation of serum CEA and Prolactin with Dukes' staging of colorectal carcinomas. Between January 2013 and June 2013, Serum CEA and Serum Prolactin were measured by radioimmunoassay from 103 patients who were histopathologically diagnosed as colorectal carcinomas. Evaluation of the stages of the colorectal cancers was done on the basis of preoperative investigations and postoperative histopathology and correlated with Preoperative Serum CEA and Serum Prolactin. Results were presented as median value, range and percentage. Male to female ratio was 1.4:1 with median age of 42.26 years (range 17-78 years). Most of the patients in this series presented with carcinoma rectum (42%). Most of the patients (52%) were found in Dukes' stage C and 27% and 15% cases were found as Dukes' stage B and Dukes' stage D respectively. Stage of the disease is directly proportionate to percentage of the patient with high serum prolactin except early stage (Dukes' A-50%, Dukes' B-28.6%, Dukes' C-33.3% & Dukes' D-46.7%). Similarly serum CEA level is directly proportionate to tumor stage (Dukes' A-0%, Dukes' B-32%, Dukes' C-40.7% & Dukes' D-74.7%). A preoperative high serum CEA value suggests advanced disease either locally or with distant metastasis. In contrast preoperative high serum prolactin (hyperprolactinaemia) did not suggest advanced disease as it can be elevated even in early stage of disease. Serum CEA and Serum Prolactin both are valuable tumor markers but serum CEA could not be replaced by serum Prolactin. Serum Prolactin may be a helpful marker in earlier stages of the colorectal cancer.

Non-Hodgkin's lymphoma by immunohistochemistry

Non Hodgkin's lymphomas (NHL) constitute a heterogeneous group of neoplasm of the lymphoid system. There are many histological subtype of NHL based on WHO classification of hematopoietic and lymphoid neoplasm. This cross-sectional study was carried out in the department of Pathology, Dhaka Medical College, Dhaka from January 2009 to December 2010 to observe the different subtypes of NHL using immunohistochemistry (IHC) with CD3. A total of 50 microscopically diagnosed case of NHL irrespective of age and sex were included in the study. The diagnostic morphologic criteria of each lymphoma subcategory were compiled and diagnosis was made. Mean age of the study subjects were 42.0±19.7 years with range 3-75 years and male female ratio was 1.8:1. Nodal NHL was 66% and extranodal cases were 34%. Maximum number of histolgic subtypes belonged to diffuse large B-cell lymphoma (DLBCL) and male was predominant in all histological subtypes, except peripheral T-cell lymphoma (PTCL). DLBCL was predominant in all B-cell NHL whereas PTCL was predominant in all T-cell NHL. The most childhood patients belonged to lymphoblastic lymphoma. Regarding cell lineage B-cell NHL was more common than T-cell NHL (88% vs. 12%), but high grade pattern was more predominant in T-cell type (83.3% vs. 65.9%). Among 50 study subjects histological (H & E) diagnosis reveals 46 cases as B-cell NHL and 4 as T-cell NHL but IHC confirms 6 cases as T-cell NHL.

An open randomized controlled trial to compare the efficacy of two fixed dose combinations of artemesinin based combinations for uncomplicated falciparum malaria in Bangladesh

National Malaria Control Program (NMCP) of Bangladesh has introduced Artemisinin Based Combination (ACT), Coartem(R) (Artemether-Lumefantrine (AL), fixed dose combination, in the confirmed cases of uncomplicated P. falciparum malaria since 2004. Despite the reduction of mortality due to malaria, the development and spread of anti-malarial drug resistance wordwide posing a threat to the health services and will make it difficult to control malaria in Bangladesh in future. We need to have an alternative to Coartem which could be Artesunate-amodiaquine (AA) in a fixed dose combination (FDC), a cheaper altenative not yet evidenced to be effective and safe to our population. In this study we compared the efficacy and safety of Artemether + Lumefantrene (FDC, Coartem®) with Artesunate +Amodiaquine tablets (100/270 mg FDC) for the treatment of uncomplicated P. falciparum malaria in three high risk multi-drug resistant malaria prevalent areas of Bangladesh. It was an open label randomized controlled trial conducted between December 2008 and November 2009 in 4 upazillas in patients over the age 12 to 60 years diagnosed as a case of uncomplicated P.falciparum malaria. The outcome of the cases were measured as clinical response, parasitological response, defervescence time and parasite clearance time. Drug safety was assessed by comparing the adverse events. A total of 252 cases were randomized to receive Artesunate + Amodiaquine (AA group, 147 cases) and Artemether + Lumefantrene (AL group, 106 cases), one lost to follow up at day 28 in AA group. The distribution of the cases was comparable by age, sex and study sites. Treatment success’ response was observed 100% in the AL group and AA group had 99%, two failures with AA were late treatment failures and the difference was not statistically significant (p>.1). The parasitological sensitive (S) response was observed in 97% of cases in AL group and 95% in the AA group, and was not a statistically significant difference. There was no significant difference in deffervescence time and parasite clearance time between two groups of cases. No serious adverse events were observed. The frequencies of minor adverse events were insignificantly different between the two treatment groups. The two ACT regimen, AA and AL had no significant difference in efficacy and safety for treatment of Uncomplicated Malaria in Bangladesh. However, there were few more failures with AA regimen compared to AL regimen, which was not statistically significant. Both these regimens can be used alternatively by the NMCP of Bangladesh as first-line treatment option. DOI: http://dx.doi.org/10.3329/bmrcb.v39i3.20310 Bangladesh Med Res Counc Bull 2013; 39: 109-115

Follicle Stimulating Hormone (FSH) Dosage Based on Body Weight Enhances Ovulatory Responses and Subsequent Embryo Production in Goats

An experiment was conducted to evaluate the efficacy of porcine follicle stimulating hormone (pFSH) dosage based on body weight (BW) on ovarian responses of crossbred does. Thirty donor does were divided into 3 groups getting pFSH dosages of 3, 5, and 8 mg pFSH per kg BW, respectively, and were named as pFSH-3, pFSH-5 and pFSH-8, respectively. Estrus was synchronized by inserting a controlled internal drug release (CIDR) device and a single injection of prostaglandin F2α (PGF2α). The pFSH treatments were administered twice a day through 6 decreasing dosages (25, 25, 15, 15, 10, and 10% of total pFSH amount; decreasing daily). Ovarian responses were evaluated on Day 7 after CIDR removal. After CIDR removal, estrus was observed 3 times in a day and pFSH treatments were initiated at 2 days before the CIDR removal. All does in pFSH-5 and pFSH-8 showed estrus signs while half of the does in pFSH-3 showed estrus signs. No differences (p>0.05) were observed on the corpus luteum and total ovarian stimulation among the treatment groups, while total and transferable embryos were higher (p<0.05) in pFSH-5 (7.00 and 6.71) than pFSH-3 (3.00 and 2.80) and pFSH-8 (2.00 and 1.50), respectively. In conclusion, 5 mg pFSH per kg BW dosage gave a higher number of embryos than 3 and 8 mg pFSH per kg BW dosages. The results indicated that the dosage of pFSH based on BW is an important consideration for superovulation in goats.

Diagnostic Efficacy of HbA1c in Diagnosis of Diabetes Mellitus in a Bangladesh Population

American Diabetic Association (ADA) affirms HbA1c with cut off value of 6.5% as a diagnostic criteria of diabetes mellitus. World Health Organization (WHO) also supports but recommended that a value <6.5% does not exclude diabetes which is diagnosed by glucose test. The aim of this study was to evaluate the diagnostic efficacy of HbA1c in terms of sensitivity, specificity, positive and negative predictive value and accuracy in a selected group of Bangladeshi subjects. This cross-sectional study included 761 adult Bangladeshi subjects of both sex attending the outdoor in a tertiary healthcare center during the period of September 2009 to September 2010. Fasting, postprandial (2 hours after glucose load) plasma glucose and HbA1c were measured. Diabetes is defined according to HbA1c and plasma glucose. Sensitivity, specificity, positive and negative predictive value of HbA1c were 90.00% (CI 86.48-92.86%), 76.21% (CI 71.68-80.35%), 78.17% (CI 73.94-82.00%) and 88.96% (CI 85.10-92.10%) respectively. Accuracy was 82.92% with odds ratio (OR) 28.84 (CI 19.10-43.54%); p < 0.001. Though HbA1c revealed remarkable diagnostic efficacy and ease of performance, still it can not over rule the role of plasma glucose in diagnosis of diabetes mellitus. DOI: http://dx.doi.org/10.3329/bmj.v41i1.18785 Bangladesh Medical Journal 2012 Vol. 41 No. 1; 53-54

Comparison of modified Friedewald's formula with direct measurement of low-density lipoprotein cholesterol in Bangladeshi population

A modification of Friedewald's formula to estimate serum low-density lipoprotein cholesterol (LDLC) up to serum triglyceride (TG) level of 11.3 mmol/L in Bangladeshi population has recently been published. The aim of this study was to compare the modified formula with direct measurement of LDLC in Bangladeshi population in a different setting. One thousand and fifty two specimens from adult subjects were analyzed. Serum total cholesterol (TC), high-density lipoprotein cholesterol (HDLC), LDLC and TG were measured by standard methods. The modified Friedewald's formula was applied to estimate LDL cholesterol concentration. Results were expressed as mean ± SD and calculated LDLC was compared with measured LDLC by two-tailed paired t test, Bland-Altman plot for absolute bias, Pearson's correlation coefficients of calculated LDLC with measured LDLC and Passing & Bablok regression equation of calculated LDLC against measured LDLC. The mean ± SD of measured LDLC was 2.98 ± 0.82 mmol/L. LDLC calculated by modified Friedewald's formula was 2.77 ± 0.86 mmol/L. The mean absolute bias was -0.20 ± 0.32 mmol/L, Pearson's correlation coefficient (r) was 0.9293 (P < 0.0001) and Passing & Bablok regression equation was y = - 0.3856+1.0597x for modified formula up to serum TG ≤ 11.3 mmol/L. Compared to original Friedewald's formula, performance of the modified Friedewald's formula was better up to serum TG ≤ 4.52 mmol/L. The study reveals that the modified Friedewald's formula may be used to calculate LDLC approximately in Bangladeshi population.

Histological scoring and associated risk factors of non-alcoholic fatty liver disease

Non alcoholic steatohepatitis is a hepatic disorder with histological features of alcohol induced liver disease that occurs in individual who do not consume significant alcohol. Liver biopsy is an important part of the evaluation in term of both grade & stage. A cross sectional study was carried out in the department of Pathology, Dhaka Medical College, Dhaka & department of Hepatology, Bangabandhu Sheikh Mujib Medical University (BSMMU) from July 2007 to June 2009. Total 55 adult subjects of both sex were included on the basis of predefined inclusion & exclusion criteria in this study to evaluate the histological pattern of non alcoholic fatty liver disease (NAFLD) and its correlation with risk factors. Liver biopsy was done and H & E and Masson's Trichrome stain slides were examined to evaluate the grade and stage of NAFLD. Scoring and semiquantitative assessment of steatosis and NAFLD severity was done according to Kleiner scale known as NAFLD activity score (NAS). The results of Pearson correlation showed only BMI and triglyceride level significantly correlated with NAS score. The results of Spearman's rank correlation showed that BMI, central obesity, triglyceridaemia and age significantly correlated with staging of fibrosis. The results of multiple regression analysis showed that variation of NAS depend on BMI and triglyceride level. The study also revealed that risk factors contributed about 29% risk for the occurrence of non alcoholic steatohepatitis.

Land Cover Change Analysis Around the Sundarbans Mangrove Forest of Bangladesh using Remote Sensing and GIS Application

Land cover change is a widespread and prominent feature in Bangladesh. It is more energetic in the South-west coastal region such as Khulna and Satkhira region. The research was completed by 30 years (1980 to 2009) by using four Landsat satellite images (1980, 1989, 2002 and 2009). During research it was originated that the main classes of changes were homestead, fallow land, water bodies and mangrove vegetation in the study area. The most imperative change was observed in fallow lands (the types of cultivable lands with or without any standing crops and also uncultivable lands). Fallow land was decreased, concerning 2,259 sq km in 2009 which land was 3,867 sq km during in 1980. It was dropped 49% to 29% of total study area between the years of 1980 to 2009. The water bodies were increased about 10% in those 30 years, regarding 14% to 24%. The total water bodies covered 1140 sq km at 1980 which was increased 1851 sq km during 2009 in the study area. The sea-level rise, increasing salinity and availability of less fresh water are responsible for inland intrusion of saline water and creating favorable environment for shrimp farming in the region. As a result farmers are converting fallow lands to shrimp farming which is economically very beneficial. Important agricultural and non-agricultural lands also converted by homestead intended for increasing population of Bangladesh. There was only 398 sq km (only 5%) area covered by homestead during 1980. But the homestead covered area was increased about 1490 sq km (19%) at 2009. So, compared to the last 30 years 14% homesteads land cover areas are increased. There was not any astonishing changed in mangrove vegetation. Some mangroves areas were shattered and some other mangroves were full-fledged again in delta areas. The harmful land cover changes are not expectable for the natural environment. But it transpires by many natural and anthropogenic tricks now a day. So, the authority should seize initiatives to protect this category of catastrophe. DOI: http://dx.doi.org/10.3329/jsf.v9i1-2.14652 J. Sci. Foundation, 9(1&2): 95-107, June-December 2011

Ecology of Sundarban, Bangladesh

Sundarban is the largest mangrove wetland in the world. It covers an area of about 1mha, of which 60% is located in Bangladesh and the remaining western portion, comprising 40%, lies in India. Mangrove ecosystems are of great ecological significance in the tropical and sub-tropical coast. They protect our coast from heavy wind, tidal waves, coastal erosion and sea water intrusion, generate substantial quantities of fishery resources and provide many useful forestry products. The Sundarban ecosystem supports rich fisheries diversity. This ecosystem support 27 families and 53 species of pelagic fish, 49 families 124 species of demersal fish, 5 families and 24 species of shrimps, 3 families and 7 species of crabs, 8 species of lobster. A total 334 plants, 165 algal, 13 special orchids, 17 fern, 87 monocotyledon and 230 dicotyledon belonging to 245 genera and 75 families from the sundarbans and adjacent area are found available. The principal tree species is Sundry (Heritiera fomes) which covers about 73% to total landmass and the second species is Gewa (Excoecaria agallocha) which covers about 16% of total forest area. The plant species include 35 legumes, 29 grasses, 19 sedges, and 18 euphorbias. Of the 50 true mangrove plant species recorded throughout the globe, the Sundarbans alone contain 35 species. The magnificent among the animals on land is Royal Bengal Tiger, Spotted deer, barking deer and wild boars are there in plenty. Besides those jungle cats, fishing cat, civet cat, monkey, bengal fox, jackle, water monitor, monitor lizard and snakes are important faunal spp. Moreover, abundant of the Sundarbans are purple heron, pond heron, cattle egret, little egret, open billed stork, smaller adjutant stork, brahmini kite, spotted dove, rose ringed parakeet, crow pheasant, wood pecker, bee eater, drongo, pide myna, jungle myna, bulbul, tailor bird, magpie robin, sparrow etc., Otherwise, recorded that wild Buffalo, 2 species of deer, javan rhinoceros extinct and presently 2 species of amphibians, 14 species of reptiles 25 species of birds and 5 species of mammals are considered as endangered species. This paper is to produce a new assessment of the mangroves ecology of Sundarbans. DOI: http://dx.doi.org/10.3329/jsf.v8i1-2.14618 J. Sci. Foundation, 8(1&2): 35-47, June-December 2010

Perceptions and treatment seeking behavior for dog bites in rural Bangladesh

We conducted a study of the knowledge, attitudes and practices regarding dog bites among residents of a rural community in Bangladesh from September 2006 to February 2007 using face to face interviews with 1,973 adults from five villages. The mean age of the respondents was 34+/-16 years. Sixty-eight percent of subjects were female, 7.3% of respondents reported a history of dog bite in a family member; 10% had been bitten twice. Sixty-five percent of subjects were aware of rabies and 99.1% knew a dog bite was the cause of rabies. Seventy-one percent of subjects were aware of a rabies vaccine, 77.5% of respondents stated rabies can cause death. Ninty percent of dog bite victims received treatment by traditional healers, 25% were treated with a rabies vaccine and 2.1% of victims died. Greater awareness is needed in rural Bangladesh regarding prevention of rabies.

Intradural intramedullary spinal cord meningioma in a seven years old female child

Halima, a 7 years old female child was admitted initially in the Department of Neurosurgery, Bangabandhu Sheikh Mujib Medical University (BSMMU), Shahbagh, Dhaka, Bangladesh with the complaints of burning sensation in the neck for last four month. Initially pain was mild and gradually it became severe and agonizing at night which awakening her from sleep. Following fifteen days of admission, her left hand gradually became weak and numb. Subsequently, all four limbs became involved within one month. Magnetic resonance imaging (MRI) showed expansion of cervical cord with hypo-intense in T1 and inhomogeneous hyper-intense in T2 areas with widening of cervical canal. Post gadolinium diethylene triamine penta-acetic acid dimeglumine (Gd-DTPA) films showed mild heterogeneous contrast enhancement of the cord at the C2-C4 level. The cervical disc showed normal signal intensity on T2WI. During surgical procedure, laminectomy was done at C1-C5 level to release compression and dura matter was opened. Biopsy from involved tissue was taken and sent for histopathological examination and reported as embronal rhabdomyosarcoma. Immunohistochemistry (IHC) of tumor showed negative reaction for desmin, focal positivity for pancytokeratin and positivity for S-100 protein. The tumor was then diagnosed as atypical meningioma,intradural-intramedullary (WHO grade-II). Then, following transfer to the Department of Pediatric Hematology and Oncology, BSMMU, protocol based chemotherapy was started followed by subsequent radiotherapy. The child was gradually improving after decompression of dura matter, commencement of chemotherapy and following external beam radiotherapy. So, an awareness of varied clinical manifestation of atypical meningioma of intrdural-intramedullary spinal cord tumor should be suspected to establish a correct diagnosis when the presenting signs and symptoms are enigmatic, presenting with intractable burning sensation or pain in the neck and investigation should be done accordingly.

Wandering spleen associated with β-Thalassemia: a case report

The clinical entity 'Wandering spleen' is an uncommon presentation and it is more often diagnosed in children than in adults, mostly women of reproductive age. Here is a case of a young woman who presented with generalized weakness and fever, and a painless mobile lump in her central abdomen. The laboratory evaluation revealed a haemolytic state and Haemoglobin electrophoresis showed β-Thalassemia trait (Hb A2 5.1%). Ultrasonography and Computerized Tomography (CT) scan confirmed that the mass is spleen and spleen is not present in its normal anatomical location. Abdominal CT described a well-defined, homogenous pediculated mass with echo texture comparable to spleen. Radioisotope scanning could be used as an alternative for confirmation of diagnosis of this rare condition, but was not done in our case. Colour Doppler sonography of the splenic circulation revealed no infarction and intact splenic vasculature. Wandering spleen should be considered in the differential diagnosis of idiopathic abdominal or pelvic lumps. The authoritative opinion for the treatment of such a case is splenectomy or splenopexy especially in children and here, in this case splenectomy was done.

Pre-referral rectal artesunate to prevent death and disability in severe malaria: a placebo-controlled trial

BACKGROUND

Most malaria deaths occur in rural areas. Rapid progression from illness to death can be interrupted by prompt, effective medication. Antimalarial treatment cannot rescue terminally ill patients but could be effective if given earlier. If patients who cannot be treated orally are several hours from facilities for injections, rectal artesunate can be given before referral and acts rapidly on parasites. We investigated whether this intervention reduced mortality and permanent disability.

METHODS

In Bangladesh, Ghana, and Tanzania, patients with suspected severe malaria who could not be treated orally were allocated randomly to a single artesunate (n=8954) or placebo (n=8872) suppository by taking the next numbered box, then referred to clinics at which injections could be given. Those with antimalarial injections or negative blood smears before randomisation were excluded, leaving 12 068 patients (6072 artesunate, 5996 placebo) for analysis. Primary endpoints were mortality, assessed 7-30 days later, and permanent disability, reassessed periodically. All investigators were masked to group assignment. Analysis was by intention to treat. This study is registered in all three countries, numbers ISRCTN83979018, 46343627, and 76987662.

RESULTS

Mortality was 154 of 6072 artesunate versus 177 of 5996 placebo (2.5%vs 3.0%, p=0.1). Two versus 13 (0.03%vs 0.22%, p=0.0020) were permanently disabled; total dead or disabled: 156 versus 190 (2.6%vs 3.2%, p=0.0484). There was no reduction in early mortality (56 vs 51 deaths within 6 h; median 2 h). In patients reaching clinic within 6 h (median 3 h), pre-referral artesunate had no significant effect on death after 6 h or permanent disability (71/4450 [1.6%] vs 82/4426 [1.9%], risk ratio 0.86 [95% CI 0.63-1.18], p=0.35). In patients still not in clinic after more than 6 h, however, half were still not there after more than 15 h, and pre-referral rectal artesunate significantly reduced death or permanent disability (29/1566 [1.9%] vs 57/1519 [3.8%], risk ratio 0.49 [95% CI 0.32-0.77], p=0.0013).

INTERPRETATION

If patients with severe malaria cannot be treated orally and access to injections will take several hours, a single inexpensive artesunate suppository at the time of referral substantially reduces the risk of death or permanent disability.

FUNDING

UNICEF/UNDP/World Bank Special Programme for Research and Training in Tropical Diseases (WHO/TDR); WHO Global Malaria Programme (WHO/GMP); Sall Family Foundation; the European Union (QLRT-2000-01430); the UK Medical Research Council; USAID; Irish Aid; the Karolinska Institute; and the University of Oxford Clinical Trial Service Unit (CTSU).

Evaluation of alternative diagnostic techniques for diagnosis of cerebral malaria in a tertiary referral hospital in Bangladesh

Five alternative techniques for diagnosis of malaria were evaluated in 124 clinically diagnosed cerebral malaria cases admitted in a tertiary hospital in Bangladesh. Clinical diagnosis of cerebral malaria was done by WHO criteria. The tests were conventional routine malaria microscopy; prolonged microscopy; dipstick antigen capture assay (Para Sight TM-F test); pigments in peripheral leucocytes and routine microscopy repeated at 12 hours interval. First four tests were done at 0 hours of hospital admission and repeat routine microscopy was added at 12 hours interval. Diagnostic capability of the test was 64%, 65%, 69%, 27% and 63% respectively. None of the tests except pigments in peripheral leucocytes was superior at initial evaluation. Only the dipstick test added 5% more diagnostic possibility compared with routine microscopy as standard. Stratification of diagnostic capability in different ways improved diagnosis 15% and 11% in smear negative cases by dipstick and prolonged microscopy respectively. It was increased by 50% (5/10 patients) with dipstick test in the smear negative patients with history of anti-malarials prior to hospital admission.

Role of homocysteine in cerebrovascular disease

Cerebrovascular disease (CVD) is one of the leading causes of morbidity and mortality worldwide and places a huge burden on the health care system. The most common forms of CVD are ischemic cerebrovascular disease (ICVD) and hemorrhagic cerebrovascular disease (HCVD). Since, the treatment, prognosis and rehabilitation of CVD is frustrating, prevention of CVD by properly addressing its modifiable risk factors might be the spearhead to combat the burden. There are several established risk factors associated with CVD, but a newer modifiable risk factor, hyperhomocysteinemia has created a new window for limiting the occurrence of CVD. Homocysteine is potentially vasculotoxic because of its association with endothelial dysfunction and impairment of fibrinolytic system. A total of 248 subjects were included in this case control study. Among them 104 were diagnosed CVD cases (ICVD-59, HCVD- 45) and 144 were age and sex matched healthy controls. Serum total homocysteine was measured in all the study subjects. Mean total homocysteine was found 12.95+/-6.20 micromol/L, 15.55+/-7.35 micromol/L in controls and cases respectively and 15.70+/-7.82 micromol/L, 15.34+/-6.78 micromol/L in ICVD and HCVD respectively. Homocysteine found to be significantly raised in CVD cases compared to controls but sub groups of CVD (ICVD & HCVD) did not differ between themselves with respect to serum homocysteine.

Direct in vivo assessment of microcirculatory dysfunction in severe falciparum malaria

BACKGROUND

This study sought to describe and quantify microcirculatory changes in the mucosal surfaces of patients with severe malaria, by direct in vivo observation using orthogonal polarization spectral (OPS) imaging.

METHODS

The microcirculation in the rectal mucosa of adult patients with severe malaria was assessed by use of OPS imaging, at admission and then daily. Comparison groups comprised patients with uncomplicated falciparum malaria, patients with bacterial sepsis, and healthy individuals.

RESULTS

Erythrocyte velocities were measured directly in 43 adult patients with severe falciparum malaria, of whom 20 died. Microcirculatory blood flow was markedly disturbed, with heterogeneous obstruction that was proportional to severity of disease. Blocked capillaries were found in 29 patients (67%) and were associated with concurrent hyperdynamic blood flow (erythrocyte velocity, >750 mm/s) in adjacent vessels in 27 patients (93%). The proportion of blocked capillaries correlated with the base deficit in plasma and with the concentration of lactate. Abnormalities disappeared when the patients recovered. In healthy individuals and in patients with uncomplicated malaria or sepsis, no stagnant erythrocytes were detected, and, in patients with sepsis, hyperdynamic blood flow was prominent.

CONCLUSION

Patients with severe falciparum malaria show extensive microvascular obstruction that is proportional to the severity of the disease. This finding underscores the prominent role that microvascular obstruction plays in the pathophysiology of severe malaria and illustrates the fundamental difference between the microvascular pathophysiology of malaria and that of bacterial sepsis.

Efficacy of chloroquine + sulfadoxine--pyrimethamine, mefloquine + artesunate and artemether + lumefantrine combination therapies to treat Plasmodium falciparum malaria in the Chittagong Hill Tracts, Bangladesh

Bangladesh faces growing levels of Plasmodium falciparum resistance to chloroquine (CQ) and sulfadoxine-pyrimethamine (SP). Alternative antimalarial therapies, particularly combination regimens, need to be considered. Therefore, the efficacy of three antimalarial combination therapies was assessed in Chittagong Hill Tracts. A total of 364 P. falciparum patients were recruited and randomly assigned to either CQ + SP, mefloquine + artesunate (MQ + AS) or lumefantrine + artemether (Coartem). Results showed that CQ + SP therapy was less effective than the two artemisinin-based combination therapies. The day 42 PCR-corrected efficacy rate was 62.4% for CQ + SP, 100% for MQ + AS and 97.1% for Coartem. Failures occurred at a shorter interval after CQ + SP treatment than after Coartem. The artemisinin-based therapies effectively prevented development of gametocytes, whereas CQ + SP did not. All three therapies were well tolerated, although reports of mild complaints during treatment appeared higher with MQ + AS. We conclude that CQ + SP is not a viable option for replacing CQ monotherapy as first-line P. falciparum treatment in this area of Bangladesh. A change to artemisinin-based combination therapy is recommended. Both Coartem and MQ + AS appear to be good options, effective in curing P. falciparum malaria and in preventing recrudescences following treatment.

Arthrographic distension of the shoulder joint in the management of frozen shoulder

The study was an open randomized controlled trial to compare the outcome at 8 weeks with two different modalities in the treatment of 'Frozen shoulder'. Clinical cases with painful limitation of movement of shoulder were randomized to receive physical therapies alone versus physical therapies and shoulder arthrography with intra-articular steroid in a sequential randomization process. Cases suspected of having a concomitant illness and has potential to cause secondary frozen shoulder were excluded, such as, history of trauma to shoulder over the last 6 months, symptomatic clinical cervical degenerative diseases, and causes in and around the shoulder (infective and non-infective). Physical Therapies provided to all patients were therapeutic exercises, transcutaneous electrical nerve stimulation (TENS) and infra-red radiation (IRR). Outcome measures were improvement of pain on a Visual Analogue Scale (VAS) score and range of motion measured by Goniometer at 8 weeks. Patients were followed weekly for 8 weeks and outcome parameters were recorded on every evaluation. The baseline range of motion in the two groups was comparable. At 8 weeks a statistically significant difference in outcome were observed in the two groups. The chi-square means difference of improvement in range of motion for abduction was p <0.00 and for external rotation was p <0. 00. The pain reduction on VAS score was not significant in the two groups (p <0. 40). In the present small series, the distension arthrography with intra-articular (IA) steroid plus physical therapy was superior over physical therapy alone in the functional improvement of the frozen shoulder. Further studies with larger sample size are required to confirm the observations.