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Modulation of Chemotheraphy Resistance Through Hypoxia Inducible Factor-1 Hif-1 Inhibition

Thesis Info

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Author

Rehman, Zaira

Program

PhD

Institute

National University of Sciences & Technology

City

Islamabad

Province

Islamabad

Country

Pakistan

Thesis Completing Year

2019

Thesis Completion Status

Completed

Subject

Bio sciences

Language

English

Link

http://prr.hec.gov.pk/jspui/bitstream/123456789/11729/1/Zaira%20Rehman%20Applied%20biosciences%202019%20nust%20isb%20prr.pdf

Added

2021-02-17 19:49:13

Modified

2024-03-24 20:25:49

ARI ID

1676726666918

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Cancer is one the leading reason of mortality worldwide. Resistance to chemotherapy i.e. ‘chemotherapy resistance’ shares the bulk of cancer related mortality. This resistance is mediated by many cellular pathway alterations, ensuing cellular hypoxia being one of the well-known factors. The hypoxic mechanism is driven by various genetic signatures, the most notable among which is hypoxia inducible factor-1α (HIF-1α) which regulates transcription of many genes to promote cancer cell survival, and progression. Multidrug resistance gene-1 (MDR1) and Lysosome-associated protein transmembrane 4B-35 (LAPTM4B-35) are among those notable players which augment their responses to cellular hypoxia. Therefore, pharmacological inhibition of HIF-1 by disrupting its dimerization can be a key strategy to overcome therapy resistance primarily and arresting tumor growth and progression secondarily. This thesis dissertation suggests potential HIF1 dimerization inhibitors constructed through ligand- and structure-based pharmacophore modelling with rigorous virtual database screening. The shortlisted hits then underwent cell line testing under hypoxic conditions for validation of HIF1 inhibition and inhibition of down-stream HIF1 effector gene VEGF and GLUT1.The current work also studied coexpression of hypoxia driven genes HIF-1α, MDR1 and LAPTM4B in peripheral blood lymphocytes of chemotherapy receiving 72 breast, 42 ovarian, 32 colon and 21 prostate cancer patients with reference to their correlation of clinic-pathologic parameters. The current work also proposed structural determinants of LAPTM4B gene computationally for its potential functionality and interaction with cellular proteins of PI3-AKT pathway involved in mediating chemotherapy resistance. The results from the computational and in-vitro validation by western blot analysis identified compound 2 and compound 6 to be effectively disrupting dimerization with concentration of 18.4±14.5 and 274±53.5 µM respectively.The co-expression of HIF-1α, MDR1 and LAPTM4B has been statistically scrutinized via Fisher’s Exact test and the Spearman correlation method. The expression analysis suggested 12–13 folds’ increase in expression of HIF-1α, 2-fold increase in MDR1 and 13–14 fold increase in LAPTM4B mRNA level in peripheral blood of breast, ovarian, prostate and colon cancer patients. In the current study there was an association of HIF-1α, MDR1 and LAPTM4B expression Abstract 2 with advanced tumor stage, metastasis and chemotherapy treated group in breast, ovarian, prostate and colon cancer patients. The Spearman analysis also revealed a positive linear association among HIF-1α, MDR1 and LAPTM4B in all the studied cancer patients. The results from LAPTM4B structural characterization and interaction revealed LAPTM4B interaction with P85α (regulatory domain of PI3K) through its PPRP motif while it interacts with NEDD4 through its PY domain. The important positional interactions are Arg26:LAPTM4B and Glu52:P85α, Arg90:LAPTM4B and Asp21:P85α, Leu348:LAPTM4B and Gly421:NEDD4, Glu362, Tyr351:LAPTM4B and Arg430:NEDD4. The current thesis work proposed potential HIF-1 inhibitors which can be structurally optimized for efficacy, selectivity, pharmacokinetic and toxicity profiling before clinical investigations. The elevated expression of HIF-1α, MDR1 and LAPTM4B in peripheral blood of solid tumor patients can be a predictor of metastasis, disease progression and treatment response in cancers. These interactions of LAPTM4B can aid in drug targeting to design novel LAPTM4B inhibitors.
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مولانا محمد ہاشم میاں فرنگی محلی

مولانا محمد ہاشم میاں فرنگی محلی
مولانا محمد ہاشم میاں فرنگی محلی کی وفات ایک بڑا سانحہ ہے، وہ ۱۹۱۷؁ء میں پیدا ہوئے اور اکہتر (۷۱) برس کی عمر میں۴ فروری کو اﷲ کو پیارے ہوگئے، فرنگی محل لکھنو کے ممتاز علمی و دینی خانوادے سے ان کا تعلق تھا، اور وہ مولانا صبغتہ اﷲ فرنگی محل کے فرزند اکبر تھے، جو عربی ادب میں مہارت اور اپنی لطافت آمیز تحریر و تقریر کے لیے مشہور تھے، یہ خصوصیت مولانا ہاشم میاں کو بھی ان سے وراثتاً ملی تھی، وہ بھی اچھے و اعظ و خطیب تھے، اور ان کی تقریریں لطافت و ظرافت اور ان کے مخصوص انداز کی وجہ سے بہت دلنشیں ہوتیں، اور پسند کی باتیں، بڑے خوش پوش، جامہ زیب لکھنؤ کی قدیم روایت و تہذیب اور اپنی خاندانی وضعداری اور شرافت کا نمونہ تھے، وہ بہت باغ و بہار شخص تھے، ان کی بذلہ سنجی، خوش طبعی اور خوش گفتاری مشہور تھی۔
مولانا محمد ہاشم لکھنؤ کے مختلف مذہبی، علمی اور تعلیمی اداروں سے وابستہ تھے، دینی تعلیم اور اردو کے فروغ کے لیے غیر معمولی جدوجہد کی، شروع ہی سے اترپردیش دینی تعلیمی کونسل کے اہم رکن تھے، مسلم پرسنل لا بورڈ کے بھی ممبر تھے، سماجی اور سیاسی سرگرمیوں میں بھی حصہ لیتے تھے، ایک زمانہ میں ڈاکٹر عبدالجلیل فریدی مرحوم کیے ساتھ مل کر بابوترلوکی سنگھ کی پرجاسوشلسٹ پارٹی کو بڑی مدد پہنچائی، مگر جلد ہی اس میدان سے کنارہ کش ہوگئے، وہ اپنی نیکی، شرافت، تواضع خوش خلقی اور وسعت قلبی کی وجہ سے نہ صرف مسلمانوں کے ہر طبقہ و جماعت بلکہ غیر مسلموں میں بھی مقبول تھے اﷲ تعالیٰ ان کے درجات بلند کرے۔ (ضیاء الدین اصلاحی، فروری ۱۹۸۸ء)

EXPLORING THE PREVALENCE OF NEUROPATHIC HAND PAIN AMONG YOUNG ADULTS AND ITS IMPACT ON HAND FUNCTION

Background and Aims: To explore the prevalence of neuropathic hand pain in young adults and how it affects hand functionality. Methodology: A convenience sampling was used to conduct a cross-sectional study on 192 medical students aged 18 to 28 years from October 2022 to March 2023. The purpose of the study was to evaluate the prevalence of neuropathic hand pain in young adults and how it affects hand functionality. Both the Duruoz Hand Index and the Douleur Neuropathique Four Questionnaire were used. Results: This study included 192 participants, the majority of whom were females (84%) and aged 20-24 years. 16.1% of participants reported having had surgery or an injury to their upper limb in the past. Participants described neuropathic pain symptoms such as electric shocks (21.4%), burning pain (18.2%), and painful cold (15.6%). Limitations and Future Implications: A small sample size and a focus on a particular group of medical students may restrict the generalizability of the findings. To improve the generalizability of the findings, future research should replicate these findings using larger sample sizes and diverse populations. Insights into the development and chronicity of neuropathic hand pain in young adults may also come from longitudinal studies. Conclusion: Our study demonstrates the prevalence of neuropathic hand pain in young adults and how it affects hand functionality. Female participants were more likely to experience pain and functional hand impairments.

Prediction of Mirna Target Genes in Renal Cell Carcinoma by Using Machine Learning Algorithms

Renal cell cancer (RCC) is most prevalent type of renal carcinoma found in adults.The association of miRNAs with cancers is confirmed by identifying crucial role in many physiological processes like development, proliferation and death of cells. miRNAs enable the early cancer diagnosis and prognosis by classifying the miRNAs required for cancer diagnosis. Early stage cancer identification is soothing to deal and miRNAs are potentially incredible markers. Researchers looked at expressed miRNAs in the RCC and Scrabbled to create miRNA profiles to submit early detection and successful intervention. The prediction of miRNAs target genes can better understand personalized medicine and the application of machine learning (ML) methods are used to cope with big problems. So, we used Microsoft Azure ML (Platform as a Service) services to design a predictive experiment model with classification algorithms (Naive Bayes and Support vector machine), predictive models are trained and tested by putative datasets downloaded from miRTar.human and consume as web services and office add-ins in MS Excel. These models retrieved predicted information from 11460 results about 620 different miRNAs targeting 164 transcripts with 1695 different position on 20 genes of 14 Chromosome. The results showed that hsa-miR-1273d transcript ABCC2 and MAPK1 (with BC099905 and NM_002745 transcripts respectively), hsa-miR-744* transcript BRAF and BCL2 (with M14745 and NM_000633 transcripts) and hsa-miR-143* transcript PIK3CA, ALOX5, HIF1A, MAPK and TP53.