390 results on '"Deshmukh, Harshal"'
Search Results
2. Resource Recovery from Wastewater
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Deshmukh, Harshal, primary, Nair, Nikhil, additional, Wagh, Nilesh, additional, and Lakkakula, Jaya, additional
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- 2023
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3. Impact of pharmacological interventions on biochemical hyperandrogenemia in women with polycystic ovary syndrome: a systematic review and meta-analysis of randomised controlled trials
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Abdalla, Mohammed Altigani, Shah, Najeeb, Deshmukh, Harshal, Sahebkar, Amirhossein, Östlundh, Linda, Al-Rifai, Rami H., Atkin, Stephen L., and Sathyapalan, Thozhukat
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- 2023
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4. No causal association between anti-Mullerian hormone (AMH) levels and polycystic ovary syndrome (PCOS)-a Mendelian randomization analysis
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Deshmukh, Harshal and Sathyapalan, Thozhukat
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- 2023
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5. Genetic risk for the polycystic ovary syndrome, bone mineral density and fractures in women and men: A UK Biobank Mendelian randomisation study
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Deshmukh, Harshal, Shah, Najeeb, Papageorgiou, Maria, Abdalla, Mohammed Altigani, Lhaf, Fadel, Aye, Mo, and Sathyapalan, Thozhukat
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- 2022
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6. A Genome-Wide Association Study of Diabetic Kidney Disease in Subjects With Type 2 Diabetes
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van Zuydam, Natalie R, Ahlqvist, Emma, Sandholm, Niina, Deshmukh, Harshal, Rayner, N William, Abdalla, Moustafa, Ladenvall, Claes, Ziemek, Daniel, Fauman, Eric, Robertson, Neil R, McKeigue, Paul M, Valo, Erkka, Forsblom, Carol, Harjutsalo, Valma, Perna, Annalisa, Rurali, Erica, Marcovecchio, M Loredana, Igo, Robert P, Salem, Rany M, Perico, Norberto, Lajer, Maria, Käräjämäki, Annemari, Imamura, Minako, Kubo, Michiaki, Takahashi, Atsushi, Sim, Xueling, Liu, Jianjun, van Dam, Rob M, Jiang, Guozhi, Tam, Claudia HT, Luk, Andrea OY, Lee, Heung Man, Lim, Cadmon KP, Szeto, Cheuk Chun, So, Wing Yee, Chan, Juliana CN, Ang, Su Fen, Dorajoo, Rajkumar, Wang, Ling, Clara, Tan Si Hua, McKnight, Amy-Jayne, Duffy, Seamus, Pezzolesi, Marcus G, Marre, Michel, Gyorgy, Beata, Hadjadj, Samy, Hiraki, Linda T, Ahluwalia, Tarunveer S, Almgren, Peter, Schulz, Christina-Alexandra, Orho-Melander, Marju, Linneberg, Allan, Christensen, Cramer, Witte, Daniel R, Grarup, Niels, Brandslund, Ivan, Melander, Olle, Paterson, Andrew D, Tregouet, David, Maxwell, Alexander P, Lim, Su Chi, Ma, Ronald CW, Tai, E Shyong, Maeda, Shiro, Lyssenko, Valeriya, Tuomi, Tiinamaija, Krolewski, Andrzej S, Rich, Stephen S, Hirschhorn, Joel N, Florez, Jose C, Dunger, David, Pedersen, Oluf, Hansen, Torben, Rossing, Peter, Remuzzi, Giuseppe, Brosnan, Mary Julia, Palmer, Colin NA, Groop, Per-Henrik, Colhoun, Helen M, Groop, Leif C, McCarthy, Mark I, Koivula, S, Uggeldahl, T, Forslund, T, Halonen, A, Koistinen, A, Koskiaho, P, Laukkanen, M, Saltevo, J, Tiihonen, M, Forsen, M, Granlund, H, Jonsson, A-C, Nyroos, B, Kinnunen, P, Orvola, A, Salonen, T, Vähänen, A, Paldanius, Kotka R, and Riihelä, M
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Diabetes ,Genetics ,Human Genome ,Aetiology ,2.1 Biological and endogenous factors ,Metabolic and endocrine ,Good Health and Well Being ,Adult ,Aged ,Aged ,80 and over ,Case-Control Studies ,Diabetes Mellitus ,Type 2 ,Diabetic Nephropathies ,Female ,Genetic Predisposition to Disease ,Genome-Wide Association Study ,Humans ,Kidney Failure ,Chronic ,Male ,Middle Aged ,Polymorphism ,Single Nucleotide ,Renal Insufficiency ,Chronic ,Finnish Diabetic Nephropathy Study ,Hong Kong Diabetes Registry Theme-based Research Scheme Project Group ,Warren 3 and Genetics of Kidneys in Diabetes (GoKinD) Study Group ,GENIE (GEnetics of Nephropathy an International Effort) Consortium ,Diabetes Control and Complications Trial (DCCT)/Epidemiology of Diabetes Interventions and Complications (EDIC) Research Group ,SUrrogate markers for Micro- and Macrovascular hard endpoints for Innovative diabetes Tools (SUMMIT) Consortium ,Medical and Health Sciences ,Endocrinology & Metabolism - Abstract
Identification of sequence variants robustly associated with predisposition to diabetic kidney disease (DKD) has the potential to provide insights into the pathophysiological mechanisms responsible. We conducted a genome-wide association study (GWAS) of DKD in type 2 diabetes (T2D) using eight complementary dichotomous and quantitative DKD phenotypes: the principal dichotomous analysis involved 5,717 T2D subjects, 3,345 with DKD. Promising association signals were evaluated in up to 26,827 subjects with T2D (12,710 with DKD). A combined T1D+T2D GWAS was performed using complementary data available for subjects with T1D, which, with replication samples, involved up to 40,340 subjects with diabetes (18,582 with DKD). Analysis of specific DKD phenotypes identified a novel signal near GABRR1 (rs9942471, P = 4.5 × 10-8) associated with microalbuminuria in European T2D case subjects. However, no replication of this signal was observed in Asian subjects with T2D or in the equivalent T1D analysis. There was only limited support, in this substantially enlarged analysis, for association at previously reported DKD signals, except for those at UMOD and PRKAG2, both associated with estimated glomerular filtration rate. We conclude that, despite challenges in addressing phenotypic heterogeneity, access to increased sample sizes will continue to provide more robust inference regarding risk variant discovery for DKD.
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- 2018
7. Variations in the assessment and education of polycystic ovary syndrome (PCOS) during initial consultations across europe: a multinational study
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Ali, Anisah, primary, Deshmukh, Harshal, additional, Wilde, Alexander, additional, Joshi, Ashwin, additional, Armeni, Elena, additional, Yesilkaya, Baylan Isin, additional, Attar, Erkut, additional, Kelestimur, Fahrettin, additional, Davitadze, Meri, additional, Kempegowda, Punith, additional, and SEva, Working Group PCOS, additional
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- 2024
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8. An international multi-centre study highlights a significant gap in the assessment and education provided during PCOS consultations
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Arshad, Amynta, primary, Khan, Sahrish, additional, Deshmukh, Harshal, additional, Chu, Agatha, additional, James, Angharad, additional, Lafara, Kyranna, additional, Mintziori, Gesthimani, additional, Goulis, Dimitrios, additional, Abdullayeva, Elmira, additional, and Seva, Working Group PCOS, additional
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- 2024
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9. List of contributors
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Abo Dena, Ahmed S., primary, Acquah, Caleb, additional, Ahmed, Tanvir, additional, Ajit, Azilah, additional, Al-Awthan, Yahya S., additional, Albuquerque, Tânia, additional, Anil, Sukumaran, additional, Apolonio–Hernandez, Nuvia Marina, additional, Atanase, Leonard Ionut, additional, Bahattab, Omar, additional, Behera, Anindita, additional, Bilal, Muhammad, additional, Bugarski, Branko, additional, Campa-Mada, A.C., additional, Carbajal-Valenzuela, Ireri Alejandra, additional, Carvajal-Millan, E., additional, Chen, Long, additional, Cheng, Wai Teng, additional, Colmenarez Lobo, Custodiana A., additional, Costa, Diana, additional, Costa, Eduardo, additional, Dalavi, Pandurang Appana, additional, Danquah, Michael K., additional, De Anda-Flores, Y., additional, Deshmukh, Harshal, additional, Dhara, Amal Kumar, additional, El-Sherbiny, Ibrahim M., additional, Faria, Rúben, additional, Feregrino-Pérez, Ana Angelica, additional, Figueroa-Pizano, M.D., additional, Gamage, D.A.S., additional, González-Arias, Beatriz, additional, Govindan, Natanamurugaraj, additional, Guevara-González, Ramón Gerardo, additional, Gutierrez-Chavez, Diana Vanesa, additional, Hasnain, Md Saquib, additional, Hossain, Shafiul, additional, Imran, Muhammad, additional, Iqbal, Hafiz M.N., additional, Jeevanandam, Jaison, additional, Jimenez-Hernandez, Alejandra, additional, Jin, Zhengyu, additional, Kabir, Sumaya F., additional, Kanny, Krishnan, additional, Lakkakula, Jaya, additional, Lizardi-Mendoza, J., additional, Machado, Manuela, additional, Madhujith, T., additional, Maniam, Gaanty Pragas, additional, Manzano, Verónica E., additional, Martínez-López, A.L., additional, Martínez-Robinson, K.G., additional, McClements, David Julian, additional, Miao, Ming, additional, Milivojevic, Milan, additional, Minhajul Islam, Md., additional, Mok Tsze Chung, Aurelie Sarah, additional, Mubarak, Mohammad S., additional, Muhammad, Naveed, additional, Munir, Hira, additional, Murugan, Sesha Subramanian, additional, Nayak, Amit Kumar, additional, Neves, Ana R., additional, Olatunde, Ahmed, additional, Pajic-Lijakovic, Ivana, additional, Pal, Dilipkumar, additional, Papagiannopoulos, Aristeidis, additional, Pintado, Manuela, additional, Popa, Marcel, additional, Qamar, Sarmad Ahmad, additional, Quintela, Telma, additional, Racovita, Stefania, additional, Rafeeq, Hamza, additional, Rahim, Mohd Hasbi Ab., additional, Rahman, Ashiqur, additional, Rahman, Mohammed Mizanur, additional, Raj, Khushboo, additional, Rane, Ajay Vasudeo, additional, Rascón-Chu, A., additional, Rauf, Abdur, additional, Repetto, Evangelina, additional, Rico-García, Enrique, additional, Saha, Supriyo, additional, Sazedul Islam, Md., additional, Shahruzzaman, Md., additional, Silva, Sara, additional, Sousa, Ângela, additional, Sulaiman, Ahmad Ziad, additional, Sultana, Sabrina, additional, Tan, Joash Ban Lee, additional, Tanori-Cordova, J., additional, Teo, Yong Kiat, additional, Tiwari, Himja, additional, torres-Pacheco, Irineo, additional, Tufail, Tabussam, additional, Vasiliu, Silvia, additional, Venkatesan, Jayachandran, additional, Vlassi, Eleni, additional, Wagh, Nilesh Shirish, additional, Wedamulla, N.E., additional, Yadav, Deepti, additional, and Yang, Zhongyu, additional
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- 2022
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10. Biological macromolecules as anticancer agents
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Tiwari, Himja, primary, Deshmukh, Harshal, additional, Wagh, Nilesh Shirish, additional, and Lakkakula, Jaya, additional
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- 2022
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11. Time to first remission and survival in patients with acromegaly: Evidence from the UK Acromegaly Register Study (UKAR).
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Deshmukh, Harshal, Ssemmondo, Emmanuel, Adeleke, Kazeem, Mongolu, Shiva, Aye, Mo, Orme, Steve, Flanagan, Daniel, Abraham, Prakash, Higham, Claire, and Sathyapalan, Thozhukat
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SOMATOTROPIN , *ACROMEGALY , *SURVIVAL rate , *OVERALL survival , *DOPAMINE agonists - Abstract
Objective: This study aimed to understand the effect of time to remission of acromegaly on survival in people living with acromegaly. Design, Patients and Measurement: This cross‐sectional study used data from the UK Acromegaly Register. We considered remission of acromegaly growth hormone controlled at ≤2 μg/L following the diagnosis of acromegaly. We used the accelerated failure time model to assess the effect of time to remission on survival in acromegaly. Results: The study population comprises 3569 individuals with acromegaly, with a median age of diagnosis of 47.3 (36.5–57.8) years, 48% females and a majority white population (61%). The number of individuals with the first remission of acromegaly was 2472, and the median time to first remission was 1.92 (0.70–6.58) years. In this study, time to first remission in acromegaly was found to have a significant effect on survival (p <.001); for every 1‐year increase in time to first remission, there was a median 1% reduction in survival in acromegaly. In an analysis adjusted for covariates, the survival rate was 52% higher (p <.001) in those who underwent surgery as compared to those who did not have surgery, 18% higher (p =.01) in those who received treatment with somatostatin analogues (SMA) as compared to those with dopamine agonists and 21% lower (p <.001) in those who received conventional radiotherapy as compared to those who did not receive radiotherapy. Conclusion: In conclusion, this population‐based study conducted in patients with acromegaly revealed that faster remission time, surgical intervention and treatment with SMA are linked to improved survival outcomes. [ABSTRACT FROM AUTHOR]
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- 2024
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12. miRNAs as a novel clinical biomarker and therapeutic targets in polycystic ovary syndrome (PCOS): A review
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Abdalla, Mohammed, Deshmukh, Harshal, Atkin, Stephen L., and Sathyapalan, Thozhukat
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- 2020
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13. Effect of intermittently scanned continuous glucose monitoring in people with diabetes with a psychosocial indication for initiation
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Ssemmondo, Emmanuel, primary, Deshmukh, Harshal, additional, Wilmot, Emma G., additional, Adeleke, Kazeem A., additional, Shah, Najeeb, additional, Walton, Chris, additional, Barnes, Dennis, additional, Ryder, Robert E. J., additional, and Sathyapalan, Thozhukat, additional
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- 2024
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14. Clinical features of type 1 diabetes in older adults and the impact of intermittently scanned continuous glucose monitoring: An Association of British Clinical Diabetologists (ABCD) study
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Deshmukh, Harshal, primary, Adeleke, Kazeem, additional, Wilmot, Emma G., additional, Folwell, Anna, additional, Barnes, Dennis, additional, Walker, Neil, additional, Saunders, Simon, additional, Ssemmondo, Emmanuel, additional, Walton, Chris, additional, Patmore, Jane, additional, Ryder, Robert E. J., additional, and Sathyapalan, Thozhukat, additional
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- 2024
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15. Meta-analysis of genome-wide association studies of HDL cholesterol response to statins
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Postmus, Iris, Warren, Helen R, Trompet, Stella, Arsenault, Benoit J, Avery, Christy L, Bis, Joshua C, Chasman, Daniel I, de Keyser, Catherine E, Deshmukh, Harshal A, Evans, Daniel S, Feng, QiPing, Li, Xiaohui, Smit, Roelof AJ, Smith, Albert V, Sun, Fangui, Taylor, Kent D, Arnold, Alice M, Barnes, Michael R, Barratt, Bryan J, Betteridge, John, Boekholdt, S Matthijs, Boerwinkle, Eric, Buckley, Brendan M, Chen, Y-D Ida, de Craen, Anton JM, Cummings, Steven R, Denny, Joshua C, Dubé, Marie Pierre, Durrington, Paul N, Eiriksdottir, Gudny, Ford, Ian, Guo, Xiuqing, Harris, Tamara B, Heckbert, Susan R, Hofman, Albert, Hovingh, G Kees, Kastelein, John JP, Launer, Leonore J, Liu, Ching-Ti, Liu, Yongmei, Lumley, Thomas, McKeigue, Paul M, Munroe, Patricia B, Neil, Andrew, Nickerson, Deborah A, Nyberg, Fredrik, O'Brien, Eoin, O'Donnell, Christopher J, Post, Wendy, Poulter, Neil, Vasan, Ramachandran S, Rice, Kenneth, Rich, Stephen S, Rivadeneira, Fernando, Sattar, Naveed, Sever, Peter, Shaw-Hawkins, Sue, Shields, Denis C, Slagboom, P Eline, Smith, Nicholas L, Smith, Joshua D, Sotoodehnia, Nona, Stanton, Alice, Stott, David J, Stricker, Bruno H, Stürmer, Til, Uitterlinden, André G, Wei, Wei-Qi, Westendorp, Rudi GJ, Whitsel, Eric A, Wiggins, Kerri L, Wilke, Russell A, Ballantyne, Christie M, Colhoun, Helen M, Cupples, L Adrienne, Franco, Oscar H, Gudnason, Vilmundur, Hitman, Graham, Palmer, Colin NA, Psaty, Bruce M, Ridker, Paul M, Stafford, Jeanette M, Stein, Charles M, Tardif, Jean-Claude, Caulfield, Mark J, Jukema, J Wouter, Rotter, Jerome I, and Krauss, Ronald M
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Atherosclerosis ,Genetics ,Human Genome ,Aetiology ,2.1 Biological and endogenous factors ,Stroke ,Good Health and Well Being ,Cholesterol Ester Transfer Proteins ,Cholesterol ,HDL ,Female ,Genome-Wide Association Study ,Humans ,Hydroxymethylglutaryl-CoA Reductase Inhibitors ,Male ,Pharmacogenomic Variants ,Polymorphism ,Single Nucleotide ,Treatment Outcome ,White People ,Genome-wide association study ,HDL-cholesterol ,Statins ,pharmacogenetics ,Biological Sciences ,Medical and Health Sciences ,Genetics & Heredity - Abstract
BackgroundIn addition to lowering low density lipoprotein cholesterol (LDL-C), statin therapy also raises high density lipoprotein cholesterol (HDL-C) levels. Inter-individual variation in HDL-C response to statins may be partially explained by genetic variation.Methods and resultsWe performed a meta-analysis of genome-wide association studies (GWAS) to identify variants with an effect on statin-induced high density lipoprotein cholesterol (HDL-C) changes. The 123 most promising signals with p
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- 2016
16. Genetic studies of abdominal MRI data identify genes regulating hepcidin as major determinants of liver iron concentration
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Jennison, Christopher, Ehrhardt, Beate, Baum, Patrick, Schoelsch, Corinna, Freijer, Jan, Grempler, Rolf, Graefe-Mody, Ulrike, Hennige, Anita, Dings, Christiane, Lehr, Thorsten, Scherer, Nina, Sihinecich, Iryna, Pattou, Francois, Raverdi, Violeta, Caiazzo, Robert, Torres, Fanelly, Verkindt, Helene, Mari, Andrea, Tura, Andrea, Giorgino, Toni, Bizzotto, Roberto, Froguel, Philippe, Bonneford, Amelie, Canouil, Mickael, Dhennin, Veronique, Brorsson, Caroline, Brunak, Soren, De Masi, Federico, Gudmundsdóttir, Valborg, Pedersen, Helle, Banasik, Karina, Thomas, Cecilia, Sackett, Peter, Staerfeldt, Hans-Henrik, Lundgaard, Agnete, Nilsson, Birgitte, Nielsen, Agnes, Mazzoni, Gianluca, Karaderi, Tugce, Rasmussen, Simon, Johansen, Joachim, Allesøe, Rosa, Fritsche, Andreas, Thorand, Barbara, Adamski, Jurek, Grallert, Harald, Haid, Mark, Sharma, Sapna, Troll, Martina, Adam, Jonathan, Ferrer, Jorge, Eriksen, Heather, Frost, Gary, Haussler, Ragna, Hong, Mun-gwan, Schwenk, Jochen, Uhlen, Mathias, Nicolay, Claudia, Pavo, Imre, Steckel-Hamann, Birgit, Thomas, Melissa, Adragni, Kofi, Wu, Han, Hart, Leen't, Roderick, Slieker, van Leeuwen, Nienke, Dekkers, Koen, Frau, Francesca, Gassenhuber, Johann, Jablonka, Bernd, Musholt, Petra, Ruetten, Hartmut, Tillner, Joachim, Baltauss, Tania, Bernard Poenaru, Oana, de Preville, Nathalie, Rodriquez, Marianne, Arumugam, Manimozhiyan, Allin, Kristine, Engelbrechtsen, Line, Hansen, Torben, Hansen, Tue, Forman, Annemette, Jonsson, Anna, Pedersen, Oluf, Dutta, Avirup, Vogt, Josef, Vestergaard, Henrik, Laakso, Markku, Kokkola, Tarja, Kuulasmaa, Teemu, Franks, Paul, Giordano, Nick, Pomares-Millan, Hugo, Fitipaldi, Hugo, Mutie, Pascal, Klintenberg, Maria, Bergstrom, Margit, Groop, Leif, Ridderstrale, Martin, Atabaki Pasdar, Naeimeh, Deshmukh, Harshal, Heggie, Alison, Wake, Dianne, McEvoy, Donna, McVittie, Ian, Walker, Mark, Hattersley, Andrew, Hill, Anita, Jones, Angus, McDonald, Timothy, Perry, Mandy, Nice, Rachel, Hudson, Michelle, Thorne, Claire, Dermitzakis, Emmanouil, Viñuela, Ana, Cabrelli, Louise, Loftus, Heather, Dawed, Adem, Donnelly, Louise, Forgie, Ian, Pearson, Ewan, Palmer, Colin, Brown, Andrew, Koivula, Robert, Wesolowska-Andersen, Agata, Abdalla, Moustafa, McRobert, Nicky, Fernandez, Juan, Jiao, Yunlong, Robertson, Neil, Gough, Stephen, Kaye, Jane, Mourby, Miranda, Mahajan, Anubha, McCarthy, Mark, Shah, Nisha, Teare, Harriet, Holl, Reinhard, Koopman, Anitra, Rutters, Femke, Beulens, Joline, Groeneveld, Lenka, Bell, Jimmy, Thomas, Louise, Whitcher, Brandon, Wilman, Henry R., Parisinos, Constantinos A., Atabaki-Pasdar, Naeimeh, Kelly, Matt, Thomas, E. Louise, Neubauer, Stefan, Hingorani, Aroon D., Patel, Riyaz S., Hemingway, Harry, Franks, Paul W., Bell, Jimmy D., Banerjee, Rajarshi, and Yaghootkar, Hanieh
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- 2019
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17. List of contributors
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Agrawal, Komal, primary, Anand, Vandita, additional, Awasthi, Shruti, additional, Bano, Farhat, additional, Bansal, Megha, additional, Bansal, Tanu, additional, Basappa, Mahesh Gajanuru, additional, Bhambri, Anne, additional, Bharadvaja, Navneeta, additional, Bharagava, Ram Naresh, additional, Bharti, Randhir K., additional, Bhattacharya, Sourish, additional, Bilal, Muhammad, additional, Chattopadhyay, Indranil, additional, Chattopadhyay, Jayeeta, additional, Chauhan, Nitin, additional, Chigadannavar, Premchand Subhash, additional, Dahiya, Praveen, additional, Dalvi, Vivek, additional, Das, Jayashankar, additional, Dave, Shivani, additional, Dave, Sushma, additional, Deolikar, Rujul, additional, Desai, Neetin, additional, Deshmukh, Harshal, additional, Dey, Priyadarshini, additional, Dwivedi, Naveen, additional, Dwivedi, Shubha, additional, Ferreira, Luiz Fernando Romanholo, additional, Fosso-Kankeu, Elvis, additional, Gaglani, Pratikkumar, additional, Garua, Bhavika, additional, Ghosh, Sougata, additional, Gola, Deepak, additional, Haldar, Soumya, additional, Helly, Chandarana, additional, Jadhav, Jyoti, additional, Jain, Rahul, additional, Joshi, Komal, additional, Kalia, Shweta, additional, Karn, Santosh Kumar, additional, Khanna, Namita, additional, Kishor, Roop, additional, Kriti, Anu, additional, Kumar, Lakhan, additional, Kumar, Madhava Anil, additional, Kumar, Rahul, additional, Lal, Rushita, additional, Malik, Anushree, additional, Manu, Basavaraju, additional, Mathur, Megha, additional, Mitra, Jahanvee, additional, Mogili, Nitish Venkateswarlu, additional, Mohan, Shruthi, additional, Mohan, Sumedha, additional, Mohapatra, Sanjeeb, additional, Muduli, Monali, additional, Naaz, Farah, additional, Nayak, Ananya, additional, Nigam, Harshita, additional, Pandey, Anjana, additional, Pandit, Soumya, additional, Pandya, Darshita Ketan, additional, Patil, Priti, additional, Patil, Ravishankar, additional, Pawar, Rohan, additional, Pinheiro, Vanessa Elisa, additional, Polizeli, Maria de Lourdes Teixeira de Moraes, additional, Pramodbabu, Rishi, additional, Purchase, Diane, additional, Quadri, Zeba, additional, Ray, Sanak, additional, Sahoo, Swayamprabha, additional, Samuchiwal, Saurabh, additional, Satyam, Rohit, additional, Seenuvasan, Muthulingam, additional, Sharma, Jai Gopal, additional, Shinde, Smita, additional, Srivastava, Anupama, additional, Singh, Astha, additional, Sonpal, Vasavdutta, additional, Srivastava, Nimmy, additional, Surmacz-Górska, J., additional, Tiwari, Neha, additional, Trivedi, Krutika, additional, Varshney, Ayushi, additional, Verma, Pradeep, additional, Vyavahare, Govind, additional, Webster, Thomas J., additional, and Ziembińska-Buczyńska, A., additional
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- 2021
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18. Microbial diversity, interactions and biodegradation of hazardous textile wastewater using biological consortium technology
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Patil, Ravishankar, primary, Deshmukh, Harshal, additional, Deolikar, Rujul, additional, Vyavahare, Govind, additional, Shinde, Smita, additional, Desai, Neetin, additional, Pandit, Soumya, additional, and Jadhav, Jyoti, additional
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- 2021
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19. Genetic epidemiology studies of aspects of diabetic complications
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Deshmukh, Harshal and Pearson, Ewan
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616.6 - Abstract
Introduction Diabetic kidney disease (DKD) is the leading cause of end-stage renal disease (ESRD), present in approximately 25%-40% of patients with long-standing diabetes and conferring additional risk of cardiovascular disease and mortality. Variations in the clinical presentations of DKD, heritability estimates from family-based studies and, more recently, the results from Genome-wide Association Studies (GWAS) demonstrate a heritable component of DKD. However, as is the case with the most of complex disorders, identifying causal genetic variants contributing to DKD has proven difficult. An important step in identifying variants associated with DKD in diabetes will involve integration of patient populations across multiple DKD cohorts, investigating rarer variants and by addressing the heterogeneity in DKD disease phenotypes in diabetes. Methods In this thesis, I reviewed the existing literature in genetic epidemiology in diabetic kidney disease. I then estimate chip-based heritability of DKD sub-phenotypes and replicated the association of known SNPS associated with renal function and upstream risk factors for diabetic kidney disease (BP, HbA1c) in patients with Type 2 Diabetes. I performed first GWAS for soluble receptor for advanced glycation products (sRAGE) a biomarker implicated in the pathogenesis of DKD. Finally, I performed GWAS for various DKD phenotypes on Type 1 Diabetes cohort (EURODIAB) and Type 2 Diabetes cohort (Go-DARTS) and helped with joint metaanalysis with DKD cohorts in SUMMIT consortium investigating genetic determinants of DKD. Results First, I showed that some DKD sub-phenotypes (like macro-albuminuria and ESRD) might be more heritable than others are and demonstrate that usefulness of estimation of chip-based heritability for complex trait by GCTA can be limited in the absence of large sample sizes. Second, I investigated the known genes for renal function (eGFR) and upstream risk factors for diabetic kidney disease (BP, HbA1c) in patients with Type 2 diabetes and showed that cumulative genetic risk for BP and HbA1c is associated with DKD. Third, I replicated the association of known loci associated with eGFR (UMOD GCKR and SHROOM3) in patients with Type 2 diabetes and showed that albuminuria affects the association of these variants with renal function. Fourth, I conducted a GWAS for sRAGE, an important biomarker associated with DKD, and identified novel variants in ITGA1 and HLA-DQA1 associated with circulating sRAGE levels. Finally, I performed GWAS for various DKD sub-phenotypes, and assisted in GWAS meta-analysis with SUMMIT consortium and identified potential novel genetic determinants for diabetic kidney diseases. Conclusion In conclusion this thesis has shown that a) estimation of chip based heritability of various DKD sub-phenotypes using GCTA has limited utility and requires GWAS studies with extremely large sample sizes b) the genetic determinants of renal function (eGFR) can interact with albuminuria in patients with T2D c) there are yet unidentified genetic markers associated with DKD and have identified potentially novel genetic markers associated with sRAGE (an important biomarker for DKD) and DKD itself which can be investigated in future studies for their reproducibility and functional consequences.
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- 2014
20. Pharmacogenetic meta-analysis of genome-wide association studies of LDL cholesterol response to statins.
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Postmus, Iris, Trompet, Stella, Deshmukh, Harshal A, Barnes, Michael R, Li, Xiaohui, Warren, Helen R, Chasman, Daniel I, Zhou, Kaixin, Arsenault, Benoit J, Donnelly, Louise A, Wiggins, Kerri L, Avery, Christy L, Griffin, Paula, Feng, QiPing, Taylor, Kent D, Li, Guo, Evans, Daniel S, Smith, Albert V, de Keyser, Catherine E, Johnson, Andrew D, de Craen, Anton JM, Stott, David J, Buckley, Brendan M, Ford, Ian, Westendorp, Rudi GJ, Slagboom, P Eline, Sattar, Naveed, Munroe, Patricia B, Sever, Peter, Poulter, Neil, Stanton, Alice, Shields, Denis C, O'Brien, Eoin, Shaw-Hawkins, Sue, Chen, Y-D Ida, Nickerson, Deborah A, Smith, Joshua D, Dubé, Marie Pierre, Boekholdt, S Matthijs, Hovingh, G Kees, Kastelein, John JP, McKeigue, Paul M, Betteridge, John, Neil, Andrew, Durrington, Paul N, Doney, Alex, Carr, Fiona, Morris, Andrew, McCarthy, Mark I, Groop, Leif, Ahlqvist, Emma, Welcome Trust Case Control Consortium, Bis, Joshua C, Rice, Kenneth, Smith, Nicholas L, Lumley, Thomas, Whitsel, Eric A, Stürmer, Til, Boerwinkle, Eric, Ngwa, Julius S, O'Donnell, Christopher J, Vasan, Ramachandran S, Wei, Wei-Qi, Wilke, Russell A, Liu, Ching-Ti, Sun, Fangui, Guo, Xiuqing, Heckbert, Susan R, Post, Wendy, Sotoodehnia, Nona, Arnold, Alice M, Stafford, Jeanette M, Ding, Jingzhong, Herrington, David M, Kritchevsky, Stephen B, Eiriksdottir, Gudny, Launer, Leonore J, Harris, Tamara B, Chu, Audrey Y, Giulianini, Franco, MacFadyen, Jean G, Barratt, Bryan J, Nyberg, Fredrik, Stricker, Bruno H, Uitterlinden, André G, Hofman, Albert, Rivadeneira, Fernando, Emilsson, Valur, Franco, Oscar H, Ridker, Paul M, Gudnason, Vilmundur, Liu, Yongmei, Denny, Joshua C, Ballantyne, Christie M, Rotter, Jerome I, Adrienne Cupples, L, Psaty, Bruce M, Palmer, Colin NA, Tardif, Jean-Claude, and Colhoun, Helen M
- Subjects
Welcome Trust Case Control Consortium ,Humans ,Hydroxymethylglutaryl-CoA Reductase Inhibitors ,Pharmacogenetics ,Polymorphism ,Single Nucleotide ,Cholesterol ,LDL ,Genome-Wide Association Study ,Cholesterol ,LDL ,Polymorphism ,Single Nucleotide - Abstract
Statins effectively lower LDL cholesterol levels in large studies and the observed interindividual response variability may be partially explained by genetic variation. Here we perform a pharmacogenetic meta-analysis of genome-wide association studies (GWAS) in studies addressing the LDL cholesterol response to statins, including up to 18,596 statin-treated subjects. We validate the most promising signals in a further 22,318 statin recipients and identify two loci, SORT1/CELSR2/PSRC1 and SLCO1B1, not previously identified in GWAS. Moreover, we confirm the previously described associations with APOE and LPA. Our findings advance the understanding of the pharmacogenetic architecture of statin response.
- Published
- 2014
21. Abstract #1607996: Effect of Various Drug Combinations of Metabolic Syndrome in Women With PCOS
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Akbar, Shahzad, primary, Koshy, Shilpa, additional, Deshmukh, Harshal, additional, Khan, Asif, additional, Malik, Shah, additional, Sathyapalan, Thozhukat, additional, Uddin, Mohammad, additional, Taqi, Muhammad, additional, Bhaiji, Amira, additional, and Saeed, Yamna, additional
- Published
- 2023
- Full Text
- View/download PDF
22. Review for "Glucagon‐like peptide‐1 analogues in monogenic syndromic obesity: Real‐world data from a large cohort of Alström syndrome patients"
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Deshmukh, Harshal, primary
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- 2023
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23. THU060 Time To First Remission, Medical Therapy And Survival In Acromegaly: UK Acromegaly Register (UKAR) Study
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Deshmukh, Harshal, primary, Ssemmondo, Emmanuel, additional, Adeleke, Kazeem, additional, Batten, Lucy, additional, Aye, Mo, additional, and Sathyapalan, Thozhukat, additional
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- 2023
- Full Text
- View/download PDF
24. Ethnic disparities in people accessing FreeStyle Libre in the UK: insights from the Association of British Clinical Diabetologists audit
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Deshmukh, Harshal, Adeleke, Kazeem A, Wilmot, Emma, Shah, Najeeb, Patmore, Jane, Walton, Chris, Ryder, Robert E J, and Sathyapalan, Thozhukat
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- 2022
- Full Text
- View/download PDF
25. Intermittently scanned continuous glucose monitoring and hypoglycaemia awareness in drivers with diabetes: Insights from the Association of British Clinical Diabetologists Nationwide audit
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Mark‐Wagstaff, Charlotte, primary, Deshmukh, Harshal, additional, Wilmot, Emma G., additional, Walker, Neil, additional, Barnes, Dennis, additional, Parfitt, Vernon, additional, Saunders, Simon, additional, Gregory, Rob, additional, Choudhary, Pratik, additional, Patmore, Jane, additional, Walton, Chris, additional, Ryder, Robert E. J., additional, and Sathyapalan, Thozhukat, additional
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- 2023
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- View/download PDF
26. The Effect of a Very-Low-Calorie Diet (VLCD) vs. a Moderate Energy Deficit Diet in Obese Women with Polycystic Ovary Syndrome (PCOS)—A Randomised Controlled Trial
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Deshmukh, Harshal, primary, Papageorgiou, Maria, additional, Wells, Liz, additional, Akbar, Shahzad, additional, Strudwick, Thomas, additional, Deshmukh, Ketki, additional, Vitale, Salvatore Giovanni, additional, Rigby, Alan, additional, Vince, Rebecca V., additional, Reid, Marie, additional, and Sathyapalan, Thozhukat, additional
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- 2023
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27. Intermittently scanned continuous glucose monitoring and hypoglycaemia awareness in drivers with diabetes: Insights from the Association of British Clinical Diabetologists Nationwide audit.
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Mark‐Wagstaff, Charlotte, Deshmukh, Harshal, Wilmot, Emma G., Walker, Neil, Barnes, Dennis, Parfitt, Vernon, Saunders, Simon, Gregory, Rob, Choudhary, Pratik, Patmore, Jane, Walton, Chris, Ryder, Robert E. J., and Sathyapalan, Thozhukat
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- *
HYPOGLYCEMIA , *TYPE 1 diabetes , *INSULIN aspart , *DIABETES , *GLUCOSE , *AWARENESS - Abstract
Aim: Frequent hypoglycaemia results in disruption to usual hypoglycaemic autonomic responses leading to impaired awareness of hypoglycaemia, which is associated with an increased risk of severe hypoglycaemia requiring third‐party assistance (SH). The UK Driving and Vehicle Licensing Agency (DVLA) does not permit car driving if they have either a complete loss of hypoglycaemia awareness or more than one SH event a year. Methods: The FreeStyle Libre (FSL) Association of British Clinical Diabetologists (ABCD) Nationwide Audit consists of data collected by clinicians during routine clinical work, submitted into a secure web‐based tool held within the National Health Service (NHS) N3 network. Analysis of paired baseline and follow‐up data for people with type 1 diabetes who also held a driving licence was undertaken. Results: The study consisted of 6304 people who had data recorded about driving status from 102 UK specialist diabetes centres, of which 4218 held a driving licence: 4178 a group 1, standard licence, 33 a group 2, large lorries and buses, seven a taxi licence; 1819 did not drive. Paired baseline and follow‐up data were available for a sub‐cohort of 1606/4218. At a mean follow‐up of 6.9 months [95% CI (6.8, 7.1)], the Gold score had improved (2.3 ± 1.5 vs. 2.0 ± 1.3 p <.001), and the number of people who experienced an SH episode was also significantly lower (12.1% vs. 2.7%, p <.001). Conclusion: This study suggests that intermittently scanned continuous glucose monitoring may improve impaired awareness of hypoglycaemia and reduce the number of people with type 1 diabetes with a driving licence experiencing a severe hypoglycaemic episode. [ABSTRACT FROM AUTHOR]
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- 2024
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28. A rare case of hypergonadotropic hypogonadism: A combination of two rare entities
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Ssemmondo, Emmanuel, primary, Sathyapalan, Thozhukat, additional, Aye, Mo, additional, Mongolu, Shiva, additional, and Deshmukh, Harshal, additional
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- 2023
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29. First presentation of a prolactinoma with Pituitary Apoplexy
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Salah, Uddin Mohammad, primary, Deshmukh, Harshal, additional, and Kabir, Afrin, additional
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- 2023
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30. Ethnic disparities in people accessing FreeStyle Libre in the United Kingdom: Insights from the Association of British Clinical Diabetologists audit
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Deshmukh, Harshal, primary, Adeleke, Kazeem A., additional, Ssemmondo, Emmanuel, additional, Wilmot, Emma G., additional, Shah, Najeeb, additional, Pieri, Beatrice, additional, Gregory, Robert, additional, Kilvert, Anne, additional, Lumb, Alistair, additional, Christian, Peter, additional, Barnes, Dennis, additional, Patmore, Jane, additional, Walton, Chris, additional, Ryder, Robert E. J., additional, and Sathyapalan, Thozhukat, additional
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- 2023
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31. The Role of Farmer Producer Companies in Sustainable Agricultural Development
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Deshmukh, Harshal S., Argade, Sanjay Laxman, Deshmukh, Harshal S., and Argade, Sanjay Laxman
- Abstract
Sustainable agricultural development is a global imperative, given the growing challenges of climate change, resource depletion, and increasing demand for food. This research paper examines the role of Farmer Producer Companies (FPCs) in fostering sustainability in agriculture. FPCs are emerging as pivotal entities that bridge the gap between traditional farming practices and modern sustainable agriculture. This paper investigates the impact of FPCs on enhancing farm productivity, promoting environmental conservation, and improving the socio-economic conditions of farmers.
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- 2023
32. Genetic analysis of blood molecular phenotypes reveals common properties in the regulatory networks affecting complex traits
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Brown, Andrew A., Fernandez-Tajes, Juan J., Hong, Mun gwan, Brorsson, Caroline A., Koivula, Robert W., Davtian, David, Dupuis, Théo, Sartori, Ambra, Michalettou, Theodora Dafni, Forgie, Ian M., Adam, Jonathan, Allin, Kristine H., Caiazzo, Robert, Cederberg, Henna, De Masi, Federico, Elders, Petra J.M., Giordano, Giuseppe N., Haid, Mark, Hansen, Torben, Hansen, Tue H., Hattersley, Andrew T., Heggie, Alison J., Howald, Cédric, Jones, Angus G., Kokkola, Tarja, Laakso, Markku, Mahajan, Anubha, Mari, Andrea, McDonald, Timothy J., McEvoy, Donna, Mourby, Miranda, Musholt, Petra B., Nilsson, Birgitte, Pattou, Francois, Penet, Deborah, Raverdy, Violeta, Ridderstråle, Martin, Romano, Luciana, Rutters, Femke, Sharma, Sapna, Teare, Harriet, ‘t Hart, Leen, Tsirigos, Konstantinos D., Vangipurapu, Jagadish, Vestergaard, Henrik, Brunak, Søren, Franks, Paul W., Frost, Gary, Grallert, Harald, Jablonka, Bernd, McCarthy, Mark I., Pavo, Imre, Pedersen, Oluf, Ruetten, Hartmut, Walker, Mark, Adragni, Kofi, Allesøe, Rosa Lundbye L., Artati, Anna A., Arumugam, Manimozhiyan, Atabaki-Pasdar, Naeimeh, Baltauss, Tania, Banasik, Karina, Barnett, Anna L., Baum, Patrick, Bell, Jimmy D., Beulens, Joline W., Bianzano, Susanna B., Bizzotto, Roberto, Bonnefond, Amelie, Cabrelli, Louise, Dale, Matilda, Dawed, Adem Y., de Preville, Nathalie, Dekkers, Koen F., Deshmukh, Harshal A., Dings, Christiane, Donnelly, Louise, Dutta, Avirup, Ehrhardt, Beate, Engelbrechtsen, Line, Eriksen, Rebeca, Fan, Yong, Ferrer, Jorge, Fitipaldi, Hugo, Forman, Annemette, Fritsche, Andreas, Froguel, Philippe, Gassenhuber, Johann, Gough, Stephen, Graefe-Mody, Ulrike, Grempler, Rolf, Groeneveld, Lenka, Groop, Leif, Gudmundsdóttir, Valborg, Gupta, Ramneek, Hennige, Anita M.H., Hill, Anita V., Holl, Reinhard W., Hudson, Michelle, Jacobsen, Ulrik Plesner, Jennison, Christopher, Johansen, Joachim, Jonsson, Anna, Karaderi, Tugce, Kaye, Jane, Kennedy, Gwen, Klintenberg, Maria, Kuulasmaa, Teemu, Lehr, Thorsten, Loftus, Heather, Lundgaard, Agnete Troen T., Mazzoni, Gianluca, McRobert, Nicky, McVittie, Ian, Nice, Rachel, Nicolay, Claudia, Nijpels, Giel, Palmer, Colin N., Pedersen, Helle K., Perry, Mandy H., Pomares-Millan, Hugo, Prehn, Cornelia P., Ramisch, Anna, Rasmussen, Simon, Robertson, Neil, Rodriquez, Marianne, Sackett, Peter, Scherer, Nina, Shah, Nisha, Sihinevich, Iryna, Slieker, Roderick C., Sondertoft, Nadja B., Steckel-Hamann, Birgit, Thomas, Melissa K., Thomas, Cecilia Engel E., Thomas, Elizabeth Louise L., Thorand, Barbara, Thorne, Claire E., Tillner, Joachim, Tura, Andrea, Uhlen, Mathias, van Leeuwen, Nienke, van Oort, Sabine, Verkindt, Helene, Vogt, Josef, Wad Sackett, Peter W., Wesolowska-Andersen, Agata, Whitcher, Brandon, White, Margaret W., Adamski, Jerzy, Schwenk, Jochen M., Pearson, Ewan R., Dermitzakis, Emmanouil T., Viñuela, Ana, Brown, Andrew A., Fernandez-Tajes, Juan J., Hong, Mun gwan, Brorsson, Caroline A., Koivula, Robert W., Davtian, David, Dupuis, Théo, Sartori, Ambra, Michalettou, Theodora Dafni, Forgie, Ian M., Adam, Jonathan, Allin, Kristine H., Caiazzo, Robert, Cederberg, Henna, De Masi, Federico, Elders, Petra J.M., Giordano, Giuseppe N., Haid, Mark, Hansen, Torben, Hansen, Tue H., Hattersley, Andrew T., Heggie, Alison J., Howald, Cédric, Jones, Angus G., Kokkola, Tarja, Laakso, Markku, Mahajan, Anubha, Mari, Andrea, McDonald, Timothy J., McEvoy, Donna, Mourby, Miranda, Musholt, Petra B., Nilsson, Birgitte, Pattou, Francois, Penet, Deborah, Raverdy, Violeta, Ridderstråle, Martin, Romano, Luciana, Rutters, Femke, Sharma, Sapna, Teare, Harriet, ‘t Hart, Leen, Tsirigos, Konstantinos D., Vangipurapu, Jagadish, Vestergaard, Henrik, Brunak, Søren, Franks, Paul W., Frost, Gary, Grallert, Harald, Jablonka, Bernd, McCarthy, Mark I., Pavo, Imre, Pedersen, Oluf, Ruetten, Hartmut, Walker, Mark, Adragni, Kofi, Allesøe, Rosa Lundbye L., Artati, Anna A., Arumugam, Manimozhiyan, Atabaki-Pasdar, Naeimeh, Baltauss, Tania, Banasik, Karina, Barnett, Anna L., Baum, Patrick, Bell, Jimmy D., Beulens, Joline W., Bianzano, Susanna B., Bizzotto, Roberto, Bonnefond, Amelie, Cabrelli, Louise, Dale, Matilda, Dawed, Adem Y., de Preville, Nathalie, Dekkers, Koen F., Deshmukh, Harshal A., Dings, Christiane, Donnelly, Louise, Dutta, Avirup, Ehrhardt, Beate, Engelbrechtsen, Line, Eriksen, Rebeca, Fan, Yong, Ferrer, Jorge, Fitipaldi, Hugo, Forman, Annemette, Fritsche, Andreas, Froguel, Philippe, Gassenhuber, Johann, Gough, Stephen, Graefe-Mody, Ulrike, Grempler, Rolf, Groeneveld, Lenka, Groop, Leif, Gudmundsdóttir, Valborg, Gupta, Ramneek, Hennige, Anita M.H., Hill, Anita V., Holl, Reinhard W., Hudson, Michelle, Jacobsen, Ulrik Plesner, Jennison, Christopher, Johansen, Joachim, Jonsson, Anna, Karaderi, Tugce, Kaye, Jane, Kennedy, Gwen, Klintenberg, Maria, Kuulasmaa, Teemu, Lehr, Thorsten, Loftus, Heather, Lundgaard, Agnete Troen T., Mazzoni, Gianluca, McRobert, Nicky, McVittie, Ian, Nice, Rachel, Nicolay, Claudia, Nijpels, Giel, Palmer, Colin N., Pedersen, Helle K., Perry, Mandy H., Pomares-Millan, Hugo, Prehn, Cornelia P., Ramisch, Anna, Rasmussen, Simon, Robertson, Neil, Rodriquez, Marianne, Sackett, Peter, Scherer, Nina, Shah, Nisha, Sihinevich, Iryna, Slieker, Roderick C., Sondertoft, Nadja B., Steckel-Hamann, Birgit, Thomas, Melissa K., Thomas, Cecilia Engel E., Thomas, Elizabeth Louise L., Thorand, Barbara, Thorne, Claire E., Tillner, Joachim, Tura, Andrea, Uhlen, Mathias, van Leeuwen, Nienke, van Oort, Sabine, Verkindt, Helene, Vogt, Josef, Wad Sackett, Peter W., Wesolowska-Andersen, Agata, Whitcher, Brandon, White, Margaret W., Adamski, Jerzy, Schwenk, Jochen M., Pearson, Ewan R., Dermitzakis, Emmanouil T., and Viñuela, Ana
- Abstract
We evaluate the shared genetic regulation of mRNA molecules, proteins and metabolites derived from whole blood from 3029 human donors. We find abundant allelic heterogeneity, where multiple variants regulate a particular molecular phenotype, and pleiotropy, where a single variant associates with multiple molecular phenotypes over multiple genomic regions. The highest proportion of share genetic regulation is detected between gene expression and proteins (66.6%), with a further median shared genetic associations across 49 different tissues of 78.3% and 62.4% between plasma proteins and gene expression. We represent the genetic and molecular associations in networks including 2828 known GWAS variants, showing that GWAS variants are more often connected to gene expression in trans than other molecular phenotypes in the network. Our work provides a roadmap to understanding molecular networks and deriving the underlying mechanism of action of GWAS variants using different molecular phenotypes in an accessible tissue.
- Published
- 2023
33. The long‐term impact of glucose monitoring with the FreeStyle Libre on glycaemic control and hypoglycaemia awareness in people with insulin‐dependent diabetes mellitus: Insights from the Association of British Clinical Diabetologists national audit
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Shah, Najeeb, primary, Deshmukh, Harshal, additional, Wilmot, Emma G., additional, Patmore, Jane, additional, Christian, Peter, additional, Barnes, Dennis J., additional, Walton, Chris, additional, Ryder, Robert E. J., additional, and Sathyapalan, Thozhukat, additional
- Published
- 2023
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- View/download PDF
34. A Genome-wide Association Study Provides Evidence of Sex-specific Involvement of Chr1p35.1 (ZSCAN20-TLR12P) and Chr8p23.1 (HMGB1P46) With Diabetic Neuropathic Pain
- Author
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Meng, Weihua, Deshmukh, Harshal A., Donnelly, Louise A., Torrance, Nicola, Colhoun, Helen M., Palmer, Colin N.A., and Smith, Blair H.
- Published
- 2015
- Full Text
- View/download PDF
35. Discovery of drug–omics associations in type 2 diabetes with generative deep-learning models
- Author
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Allesøe, Rosa Lundbye, Lundgaard, Agnete Troen, Hernández Medina, Ricardo, Aguayo-Orozco, Alejandro, Johansen, Joachim, Nissen, Jakob Nybo, Brorsson, Caroline, Mazzoni, Gianluca, Niu, Lili, Biel, Jorge Hernansanz, Brasas, Valentas, Webel, Henry, Benros, Michael Eriksen, Pedersen, Anders Gorm, Chmura, Piotr Jaroslaw, Jacobsen, Ulrik Plesner, Mari, Andrea, Koivula, Robert, Mahajan, Anubha, Vinuela, Ana, Tajes, Juan Fernandez, Sharma, Sapna, Haid, Mark, Hong, Mun-Gwan, Musholt, Petra B., de Masi, Federico, Vogt, Josef, Pedersen, Helle Krogh, Gudmundsdottir, Valborg, Jones, Angus, Kennedy, Gwen, Bell, Jimmy, Thomas, E. Louise, Frost, Gary, Thomsen, Henrik, Hansen, Elizaveta, Hansen, Tue Haldor, Vestergaard, Henrik, Muilwijk, Mirthe, Blom, Marieke T., ‘t Hart, Leen M., Pattou, Francois, Raverdy, Violeta, Brage, Soren, Kokkola, Tarja, Heggie, Alison, McEvoy, Donna, Mourby, Miranda, Kaye, Jane, Hattersley, Andrew, McDonald, Timothy, Ridderstråle, Martin, Walker, Mark, Forgie, Ian, Giordano, Giuseppe N., Pavo, Imre, Ruetten, Hartmut, Pedersen, Oluf, Hansen, Torben, Dermitzakis, Emmanouil, Franks, Paul W., Schwenk, Jochen M., Adamski, Jerzy, McCarthy, Mark I., Pearson, Ewan, Banasik, Karina, Rasmussen, Simon, Brunak, S. ren, Froguel, Philippe, Thomas, Cecilia Engel, Haussler, Ragna, Beulens, Joline, Rutters, Femke, Nijpels, Giel, van Oort, Sabine, Groeneveld, Lenka, Elders, Petra, Giorgino, Toni, Rodriquez, Marianne, Nice, Rachel, Perry, Mandy, Bianzano, Susanna, Graefe-Mody, Ulrike, Hennige, Anita, Grempler, Rolf, Baum, Patrick, Stærfeldt, Hans-Henrik, Shah, Nisha, Teare, Harriet, Ehrhardt, Beate, Tillner, Joachim, Dings, Christiane, Lehr, Thorsten, Scherer, Nina, Sihinevich, Iryna, Cabrelli, Louise, Loftus, Heather, Bizzotto, Roberto, Tura, Andrea, Dekkers, Koen, van Leeuwen, Nienke, Groop, Leif, Slieker, Roderick, Ramisch, Anna, Jennison, Christopher, McVittie, Ian, Frau, Francesca, Steckel-Hamann, Birgit, Adragni, Kofi, Thomas, Melissa, Pasdar, Naeimeh Atabaki, Fitipaldi, Hugo, Kurbasic, Azra, Mutie, Pascal, Pomares-Millan, Hugo, Bonnefond, Amelie, Canouil, Mickael, Caiazzo, Robert, Verkindt, Helene, Holl, Reinhard, Kuulasmaa, Teemu, Deshmukh, Harshal, Cederberg, Henna, Laakso, Markku, Vangipurapu, Jagadish, Dale, Matilda, Thorand, Barbara, Nicolay, Claudia, Fritsche, Andreas, Hill, Anita, Hudson, Michelle, Thorne, Claire, Allin, Kristine, Arumugam, Manimozhiyan, Jonsson, Anna, Engelbrechtsen, Line, Forman, Annemette, Dutta, Avirup, Sondertoft, Nadja, Fan, Yong, Gough, Stephen, Robertson, Neil, McRobert, Nicky, Wesolowska-Andersen, Agata, Brown, Andrew, Davtian, David, Dawed, Adem, Donnelly, Louise, Palmer, Colin, White, Margaret, Ferrer, Jorge, Whitcher, Brandon, Artati, Anna, Prehn, Cornelia, Adam, Jonathan, Grallert, Harald, Gupta, Ramneek, Sackett, Peter Wad, Nilsson, Birgitte, Tsirigos, Konstantinos, Eriksen, Rebeca, Jablonka, Bernd, Uhlen, Mathias, Gassenhuber, Johann, Baltauss, Tania, de Preville, Nathalie, Klintenberg, Maria, Abdalla, Moustafa, Lundgaard, Agnete Troen [0000-0001-7447-6560], Hernández Medina, Ricardo [0000-0001-6373-2362], Johansen, Joachim [0000-0001-7052-1870], Niu, Lili [0000-0003-4571-4368], Biel, Jorge Hernansanz [0000-0002-3125-2951], Benros, Michael Eriksen [0000-0003-4939-9465], Pedersen, Anders Gorm [0000-0001-9650-8965], Jacobsen, Ulrik Plesner [0000-0001-9181-6854], Koivula, Robert [0000-0002-1646-4163], Vinuela, Ana [0000-0003-3771-8537], Haid, Mark [0000-0001-6118-1333], Hong, Mun-Gwan [0000-0001-8603-8293], Kennedy, Gwen [0000-0002-9856-3236], Thomas, E Louise [0000-0003-4235-4694], Frost, Gary [0000-0003-0529-6325], Hansen, Tue Haldor [0000-0001-5948-8993], Kaye, Jane [0000-0002-7311-4725], Hattersley, Andrew [0000-0001-5620-473X], Ridderstråle, Martin [0000-0002-3270-9167], Pedersen, Oluf [0000-0002-3321-3972], Hansen, Torben [0000-0001-8748-3831], Schwenk, Jochen M [0000-0001-8141-8449], Rasmussen, Simon [0000-0001-6323-9041], Brunak, Søren [0000-0003-0316-5866], Apollo - University of Cambridge Repository, Epidemiology and Data Science, ACS - Diabetes & metabolism, APH - Health Behaviors & Chronic Diseases, General practice, ACS - Heart failure & arrhythmias, APH - Aging & Later Life, Graduate School, and APH - Methodology
- Subjects
Biomedical Engineering ,Type 2 diabetes ,Bioengineering ,Applied Microbiology and Biotechnology ,Deep Learning ,SDG 3 - Good Health and Well-being ,Diabetes Mellitus, Type 2 ,Machine learning ,Molecular Medicine ,Humans ,Data integration ,IMI DIRECT Consortium ,Systems biology ,Algorithms ,Biotechnology - Abstract
The application of multiple omics technologies in biomedical cohorts has the potential to reveal patient-level disease characteristics and individualized response to treatment. However, the scale and heterogeneous nature of multi-modal data makes integration and inference a non-trivial task. We developed a deep-learning-based framework, multi-omics variational autoencoders (MOVE), to integrate such data and applied it to a cohort of 789 people with newly diagnosed type 2 diabetes with deep multi-omics phenotyping from the DIRECT consortium. Using in silico perturbations, we identified drug–omics associations across the multi-modal datasets for the 20 most prevalent drugs given to people with type 2 diabetes with substantially higher sensitivity than univariate statistical tests. From these, we among others, identified novel associations between metformin and the gut microbiota as well as opposite molecular responses for the two statins, simvastatin and atorvastatin. We used the associations to quantify drug–drug similarities, assess the degree of polypharmacy and conclude that drug effects are distributed across the multi-omics modalities.
- Published
- 2023
- Full Text
- View/download PDF
36. Risk of postoperative acute kidney injury in patients undergoing orthopaedic surgery—development and validation of a risk score and effect of acute kidney injury on survival : observational cohort study
- Author
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Bell, Samira, Dekker, Friedo W, Vadiveloo, Thenmalar, Marwick, Charis, Deshmukh, Harshal, Donnan, Peter T, and Van Diepen, Merel
- Published
- 2015
37. Sodium-glucose co-transporter 2 inhibitors and erythrocytosis: a review
- Author
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Shah, Najeeb, primary, Bandara, Thushari, additional, Deshmukh, Harshal, additional, Batten, Lucy, additional, Walton, Chris, additional, and Sathyapalan, Thozhukat, additional
- Published
- 2022
- Full Text
- View/download PDF
38. Assessing the androgenic and metabolic heterogeneity in polycystic ovary syndrome using cluster analysis
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Deshmukh, Harshal, primary, Akbar, Shahzad, additional, Bhaiji, Amira, additional, Saeed, Yamna, additional, Shah, Najeeb, additional, Adeleke, Kazeem, additional, Papageorgiou, Maria, additional, Atkin, Stephen, additional, and Sathyapalan, Thozhukat, additional
- Published
- 2022
- Full Text
- View/download PDF
39. RF18 | PSAT125 Estimating the relative influence (RI) of genetic risk of 11 glycemic traits on osteoporosis and fractures in 409633 participants in the UK Biobank using Machine learning
- Author
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Deshmukh, Harshal, primary, Papageorgiou, Maria, additional, and Sathyapalan, Thozhukat, additional
- Published
- 2022
- Full Text
- View/download PDF
40. Cluster analysis with routine hormonal parameters identifies two distinct subsets of polycystic ovary syndrome (PCOS)
- Author
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Deshmukh, Harshal, primary, Akbar, Shahzad, additional, Bhaiji, Amira, additional, Saeed, Yamna, additional, Shah, Najeeb, additional, Batten, Lucy, additional, Adeleke, Kazeem A, additional, Atkin, Stephen, additional, and Sathyapalan, Thozhukat, additional
- Published
- 2022
- Full Text
- View/download PDF
41. Heritability of variation in glycaemic response to metformin: a genome-wide complex trait analysis
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Zhou, Kaixin, Donnelly, Louise, Yang, Jian, Li, Miaoxin, Deshmukh, Harshal, Van Zuydam, Natalie, Ahlqvist, Emma, Spencer, Chris C, Groop, Leif, Morris, Andrew D, Colhoun, Helen M, Sham, Pak C, McCarthy, Mark I, Palmer, Colin N A, and Pearson, Ewan R
- Published
- 2014
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42. Emerging Trends in Indian Agribusiness Management
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Deshmukh, Harshal S., Argade, Sanjay Laxman, and Ambewadikar, Sourabh S.
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Indian agriculture ,agriculture region in India ,organic farming in India ,sustainability ,agriculture data in India ,agriculture equipment ,green revolution ,Indian farmer ,agriculture jobs ,agriculture records ,agriculture enterprise in India ,liberalization ,dairy farming in India ,globalization ,self-sufficiency - Abstract
Inexperienced revolution has been the tremendous example of overcoming adversity of loose India. The United States that was frequently laid low with starvations and ceaseless nourishment lack earlier than green upheaval, we're today in a function where we're fighting with the difficulty of extra. From a nourishment grain creation round 55 million tons on the hour of autonomy, we currently increase underway of more than 250 million lots of nourishment grain (2011). Agribusiness has been a wellspring of labor for more than one thirds of our populace. In comparison to created us of a, farming still stays the inspiration of our country. to disencumber India from its dependence at the created countries for its nourishment need, horticulture became superior in a primary way. Horticulture in India isn’t just a enterprise venture; it is an increasing number of a way of life. Indian farming is experiencing short trade because the presentation of inexperienced transformation innovation. the continued arrangement of development and globalization has unfolded new roads for farming modernization. This has now not simply involved on improving agrarian assets of information, infrastructural places of work in country zones but changing sources of data reducing appropriations, relaxing roof laws and generating rural surplus for home and international markets. In perspective at the growing prosperity inside the rural region’s needs are being raised for agricultural taxation and according enterprise reputation to agriculture.
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- 2022
43. Effect of weekend admission on in-hospital mortality and functional outcomes for patients with acute subarachnoid haemorrhage (SAH)
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Deshmukh, Harshal, Hinkley, Matthew, Dulhanty, Louise, Patel, Hiren C., and Galea, J. P.
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- 2016
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44. Impaired awareness of hypoglycaemia: Prevalence and associated factors before and after FreeStyle Libre use in the Association of British Clinical Diabetologists audit
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Pieri, Beatrice, primary, Deshmukh, Harshal, additional, Wilmot, Emma G., additional, Choudhary, Pratik, additional, Shah, Najeeb, additional, Gregory, Robert, additional, Barnes, Dennis, additional, Saunders, Simon, additional, Patmore, Jane, additional, Walton, Chris, additional, Ryder, Robert E. J., additional, and Sathyapalan, Thozhukat, additional
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- 2022
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45. Time in range following flash glucose monitoring: Relationship with glycaemic control, diabetes‐related distress and resource utilisation in the Association of British Clinical Diabetologists national audit
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Deshmukh, Harshal, primary, Wilmot, Emma, additional, Pieri, Beatrice, additional, Choudhary, Pratik, additional, Shah, Najeeb, additional, Gregory, Robert, additional, Kilvert, Anne, additional, Lumb, Alistair, additional, Christian, Peter, additional, Barnes, Dennis, additional, Patmore, Jane, additional, Walton, Chris, additional, Ryder, Robert E. J., additional, and Sathyapalan, Thozhukat, additional
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- 2022
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46. Impact of pharmacological interventions on biochemical hyperandrogenemia in women with polycystic ovary syndrome : a systematic review and meta-analysis of randomised controlled trials
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Abdalla, Mohammed Altigani, Shah, Najeeb, Deshmukh, Harshal, Sahebkar, Amirhossein, Östlundh, Linda, Al-Rifai, Rami H., Atkin, Stephen L., Sathyapalan, Thozhukat, Abdalla, Mohammed Altigani, Shah, Najeeb, Deshmukh, Harshal, Sahebkar, Amirhossein, Östlundh, Linda, Al-Rifai, Rami H., Atkin, Stephen L., and Sathyapalan, Thozhukat
- Abstract
Context: Polycystic ovary syndrome (PCOS) is a complex endocrine disease that affects women of reproductive age and is characterised by biochemical and clinical androgen excess. Aim: To evaluate the efficacy of pharmacological interventions used to decrease androgen hormones in women with PCOS. Data source: We searched PubMed, MEDLINE, Scopus, Embase, Cochrane library and the Web of Science from inception up to March 2021. Data synthesis Two reviewers selected eligible studies and extracted data, and the review is reported according to the 2020 Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). Results: Of the 814 randomised clinical trials (RCTs) located in the search, 92 met the eligibility criteria. There were significant reductions in total testosterone level with metformin versus (vs) placebo (SMD: - 0.33; 95% CI - 0.49 to - 0.17, p < 0.0001, moderate grade evidence) and dexamethasone vs placebo (MD:-0.86 nmol/L; 95% CI - 1.34 to - 0.39, p = 0.0004, very low-grade evidence). Significant reductions in the free testosterone with sitagliptin vs placebo (SMD: - 0.47; 95% CI - 0.97 to 0.04, p = 0.07, very low-grade evidence), in dehydroepiandrosterone sulphate (DHEAS) with flutamide vs finasteride (MD: - 0.37 mu g/dL; 95% CI - 0.05 to - 0.58, p = 0.02, very low-grade evidence), a significant reduction in androstenedione (A4) with rosiglitazone vs placebo (SMD: - 1.67; 95% CI - 2.27 to - 1.06; 59 participants, p < 0.00001, very low-grade evidence), and a significant increase in sex hormone-binding globulin (SHBG) with oral contraceptive pill (OCP) (35 mu g Ethinyl Estradiol (EE)/2 mg cyproterone acetate (CPA)) vs placebo (MD: 103.30 nmol/L; 95% CI 55.54-151.05, p < 0.0001, very low-grade evidence) were observed. Conclusion: Metformin, OCP, dexamethasone, flutamide, and rosiglitazone use were associated with a significant reduction in biochemical hyperandrogenemia in women with PCOS, though their individual use may be limited due to
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- 2022
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47. Impact of pharmacological interventions on anthropometric indices in women with polycystic ovary syndrome : A systematic review and meta-analysis of randomized controlled trials
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Abdalla, Mohammed A., Shah, Najeeb, Deshmukh, Harshal, Sahebkar, Amirhossein, Östlundh, Linda, Al-Rifai, Rami H., Atkin, Stephen L., Sathyapalan, Thozhukat, Abdalla, Mohammed A., Shah, Najeeb, Deshmukh, Harshal, Sahebkar, Amirhossein, Östlundh, Linda, Al-Rifai, Rami H., Atkin, Stephen L., and Sathyapalan, Thozhukat
- Abstract
Context: Polycystic ovary syndrome (PCOS) is a heterogeneous condition affecting women of reproductive age and is associated with increased body weight. Objective: To review the literature on the effect of different pharmacological interventions on the anthropometric indices in women with PCOS. Data sources: We searched PubMed, MEDLINE, Scopus, Embase, Cochrane library, and the Web of Science in April 2020 with an update in PubMed in March 2021. Study selection: The study followed the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA)2020. Data extraction: Reviewers extracted data and assessed the risk of bias using the Cochrane risk of bias tool. Results: 80 RCTs were included in the meta-analysis. Metformin vs placebo showed significant reduction in the mean body weight (MD: -3.13 kg; 95% confidence interval [CI]: -5.33 to -0.93, I-2 = 5%) and the mean body mass index (BMI) (MD: -0.75 kg/m(2); 95% CI: -1.15 to -0.36, I-2 = 0%). There was a significant reduction in the mean BMI with orlistat versus placebo (MD: -1.33 kg/m(2); 95% CI: -2.16 to -0.66, I-2 = 0.0%), acarbose versus metformin (MD: -1.26 kg/m(2); 95% CI: -2.13 to -0.38, I-2 = 0%), and metformin versus pioglitazone (MD: -0.91 kg/m(2); 95% CI: -1.62 to -0.19, I-2 = 0%). A significant increase in the mean BMI was also observed in pioglitazone versus placebo (MD: + 2.59 kg/m(2); 95% CI: 1.78-3.38, I-2 = 0%) and in rosiglitazone versus metformin (MD: + 0.80 kg/m(2); 95% CI: 0.32-1.27, I-2 = 3%). There was a significant reduction in the mean waist circumference (WC) with metformin versus placebo (MD: -1.21 cm; 95% CI: -3.71 to 1.29, I-2 = 0%) while a significant increase in the mean WC with pioglitazone versus placebo (MD: + 5.45 cm; 95% CI: 2.18-8.71, I-2 = 0%). Conclusion: Pharmacological interventions including metformin, sitagliptin, pioglitazone, rosiglitazone orlistat, and acarbose have significant effects on the anthropometric indices in women with PCOS.
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- 2022
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48. Effect of pharmacological interventions on lipid profiles and C-reactive protein in polycystic ovary syndrome : A systematic review and meta-analysis
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Abdalla, Mohammed A., Shah, Najeeb, Deshmukh, Harshal, Sahebkar, Amirhossein, Östlundh, Linda, Al-Rifai, Rami H., Atkin, Stephen L., Sathyapalan, Thozhukat, Abdalla, Mohammed A., Shah, Najeeb, Deshmukh, Harshal, Sahebkar, Amirhossein, Östlundh, Linda, Al-Rifai, Rami H., Atkin, Stephen L., and Sathyapalan, Thozhukat
- Abstract
Context: Polycystic ovary syndrome (PCOS) is a heterogeneous condition affecting women of reproductive age. It is associated with dyslipidaemia and elevated plasma C-reactive protein (CRP), which increase the risks of cardiovascular disease (CVD). Objective: To review the existing evidence on the effects of different pharmacological interventions on lipid profiles and CRP of women with PCOS. Data Sources: We searched PubMed, MEDLINE, Scopus, Embase, Cochrane Library, and Web of Science in April 2020 and updated the results in March 2021. Study Selection: The study included randomized controlled trials (RCTs) and follows the 2020 Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA). Data Extraction: Two independent researchers extracted data and assessed for risk of bias using the Cochrane risk of bias tool. Covidence systematic review software were used for blinded screening and study selection. Data Synthesis: In 29 RCTs, there were significant reductions in triglycerides with atorvastatin versus placebo [mean difference (MD): -0.21 mmol/L; 95% confidence interval (CI): -0.39, -0.03, I-2 = 0%, moderate grade evidence]. Significant reductions were seen for low-density lipoprotein cholesterol (LDL-C) with metformin versus placebo [standardized mean difference (SMD): -0.41; 95% CI: -0.85, 0.02, I-2 = 59%, low grade evidence]. Significant reductions were also seen for total cholesterol with saxagliptin versus metformin (MD: -0.15 mmol/L; 95% CI: -0.23, -0.08, I-2 = 0%, very low grade evidence). Significant reductions in C-reactive protein (CRP) were seen for atorvastatin versus placebo (MD: -1.51 mmol/L; 95% CI: -3.26 to 0.24, I-2 = 75%, very low-grade evidence). Conclusion: There were significant reductions in the lipid parameters when metformin, atorvastatin, saxagliptin, rosiglitazone and pioglitazone were compared with placebo or other agents. There was also a significant reduction of CRP with atorvastatin.
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- 2022
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49. Impact of metformin on the clinical and metabolic parameters of women with polycystic ovary syndrome : a systematic review and meta-analysis of randomised controlled trials
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Abdalla, Mohammed Altigani, Shah, Najeeb, Deshmukh, Harshal, Sahebkar, Amirhossein, Östlundh, Linda, Al-Rifai, Rami H., Atkin, Stephen L., Sathyapalan, Thozhukat, Abdalla, Mohammed Altigani, Shah, Najeeb, Deshmukh, Harshal, Sahebkar, Amirhossein, Östlundh, Linda, Al-Rifai, Rami H., Atkin, Stephen L., and Sathyapalan, Thozhukat
- Abstract
Context: Polycystic ovary syndrome (PCOS) is one of the commonest endocrine disorders affecting women of reproductive age, and metformin is a widely used medication in managing this condition. Aim: To review the available literature comprehensively on the therapeutic impact of metformin on the clinical and metabolic parameters of women with PCOS. Data source: We searched PubMed, MEDLINE, Scopus, Embase, Cochrane Library and the Web of Science and selected sources for grey literature from their inception to April 2020. An updated search in PubMed was performed in June 2022. Data synthesis: Two reviewers selected eligible studies and extracted data, and the review is reported following the 2020 Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). Results: In 24 eligible randomised controlled trials (RCTs) involving 564 participants who received metformin therapy, metformin was associated with significant reduction in body weight by 3.13 kg (95% CI: -5.33, -0.93), body mass index (BMI) by 0.82 kg/m(2) (95% CI: -1.22, -0.41), fasting blood glucose [standardised mean difference (SMD): -0.23; 95% CI: -0.40, -0.06], low-density lipoprotein cholesterol (LDL-C) (SMD: -0.41; 95% CI: -0.85, 0.03), total testosterone (SMD: -0.33; 95% CI: -0.49, -0.17), androstenedione (SMD: -0.45; 95% CI: -0.70, -0.20), 17-hydroxyprogesterone (17-OHP) (SMD: -0.58; 95% CI: -1.16, 0.00) and increase the likelihood of clinical pregnancy rate [odds ratio (OR): 3.00; 95% CI: 1.95, 4.59] compared with placebo. Conclusion: In women with PCOS, metformin use has shown a positive impact in reducing body weight, BMI, total testosterone, androstenedione, 17-OHP, LDL-C, fasting blood glucose and increasing the likelihood of pregnancy in women with PCOS.
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- 2022
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50. Impact of pharmacological interventions on insulin resistance in women with polycystic ovary syndrome : A systematic review and meta-analysis of randomized controlled trials
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Abdalla, Mohammed A., Shah, Najeeb, Deshmukh, Harshal, Sahebkar, Amirhossein, Östlundh, Linda, Al-Rifai, Rami H., Atkin, Stephen L., Sathyapalan, Thozhukat, Abdalla, Mohammed A., Shah, Najeeb, Deshmukh, Harshal, Sahebkar, Amirhossein, Östlundh, Linda, Al-Rifai, Rami H., Atkin, Stephen L., and Sathyapalan, Thozhukat
- Abstract
Objective: Polycystic ovary syndrome (PCOS) is a complex endocrine condition affecting women of reproductive age. It is characterized by insulin resistance and is a major risk factor for type 2 diabetes mellitus (T2DM). The objective was to review the literature on the effect of different pharmacological interventions on insulin resistance in women with PCOS. Design: We searched PubMed, MEDLINE, Scopus, Embase, Cochrane library and the Web of Science in April 2020 and updated in March 2021. The study follows the 2020 Preferred Reporting Items for Systematic reviews and Meta-ana. Reviwers extracted data and assessed the risk of bias using the Cochrane risk of bias tool. Results: In 58 randomized controlled trials there were significant reductions in the fasting blood glucose (FBG) with metformin versus placebo (standardized mean difference [SMD]: -0.23; 95% confidence interval [CI]: -0.40, -0.06; I-2 = 0%, low-grade evidence), and acarbose versus metformin (mean difference [MD]: -10.50 mg/dl; 95% CI: -15.76, -5.24; I-2 = 0%, low-grade evidence). Significant reductions in fasting insulin (FI) with pioglitazone versus placebo (SMD: -0.55; 95% CI: -1.03, -0.07; I-2 = 37%; p = .02, very-low-grade evidence). A significant reduction in homoeostatic model assessment of insulin resistance (HOMA-IR) was seen with exenatide versus metformin (MD: -0.34; 95% CI: -0.65, -0.03; I-2 = 0%, low-grade evidence). No effect on homoeostatic model assessment of beta cells (HOMA-B) was observed. Conclusions: Pharmacological interventions, including metformin, acarbose, pioglitazone and exenatide have significant effects on FBG, FI, HOMA-IR but not on HOMA-B.
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- 2022
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