Muhammad Suleman
57196800921
Publications - 2
Exploring the hub gene CERS6 as a therapeutic target in type 1 diabetes through a bioinformatics and network analyst approach
Publication Name: Scientific Reports
Publication Date: 2026-12-01
Volume: 16
Issue: 1
Page Range: Unknown
Description:
Insulin-producing β-cells are destroyed in type 1 diabetes mellitus (T1DM), a chronic autoimmune disease that results in complete insulin insufficiency and metabolic dysfunction. According to a survival study that used p values, some hub genes are important for predicting and diagnosing illness. Scientists have inferred medicines to identify possible therapies that interact with the identified hub genes. The GSE10586 gene expression dataset from the Gene Expression Omnibus (GEO) was used for this investigation, which included 27 samples from 15 healthy controls and 12 diabetic patients. Normalization methods such as variance stabilization normalization (VSN) were used as part of the data pretreatment. A protein‒protein interaction (PPI) network was constructed, principal component analysis (PCA) was performed, heatmaps were created, and the Limma algorithm was used to analyze differential gene expression. Using DAVID v6.8 and KEGG pathway annotations, the functional enrichment of differentially expressed genes (DEGs) was evaluated. Furthermore, a computational study revealed CERS6 to be one of the potential hub genes. Four drugs, methotrexate, eliglustat, myriocin and statin, were the focus of further studies on the basis of predictions made via ChemSpider and PubChem database analysis. To determine the optimal binding positions of these drugs with CERS6, we used molecular docking techniques. The binding affinity of methotrexate was 8.48 kcal/mol, that of myriocin was 7.85 kcal/mol, that of eliglustat was − 6.62 kcal/mol, and that of serine was − 4.90 kcal/mol against the binding pocket’s active residues. To determine how consistently each drug interacted with the CERS6 protein over time, molecular dynamics (MD) simulations were run. Throughout the simulation intervals, both medications were confirmed to be stable, with minor alterations in the CERS6 protein loop region. Therefore, the investigation of structure-based drug design has potential for identifying specific therapeutic targets. Ten hub genes were identified via network analysis of differentially expressed genes. These hub genes could serve as novel targets for T1DM detection, prognosis, and targeting. CERS6 exhibited the highest degree of interaction. Methotrexate, eliglustat, myriocin and statins were identified as potential drugs for CERS6. Overall, these findings provide valuable insights that could pave the way for new experimental strategies in T1DM therapy.
Open Access: Yes
Global burden of amphetamine, cannabis, cocaine and opioid use in 204 countries, 1990–2023: a Global Burden of Disease Study
Muhammad Suleman
Masood Ali Shaikh
Jiseung Kang
Sa’ed H. Zyoud
Chuanhua Yu
Naohiro Yonemoto
Manish Vinayak
Georgios Ioannis Verras
Siavash Vaziri
Hyeon Jin Kim
Min Seo Kim
Magdalena Zielińska
Bin Zhu
Paul Yip
Dehui Yin
Renjulal Yesodharan
Tommi Juhani Vasankari
Joe Varghese
Jef Van den Eynde
Munkhtuya Tumurkhuu
Abdul Rohim Tualeka
Evangelia Eirini Tsermpini
Aristidis Tsatsakis
Alexander C. Tsai
Samuel Joseph Tromans
Atta Ullah
Masayuki Teramoto
Mohamad Hani Temsah
Reem Temsah
Yonas Getaye Tefera
Minale Tareke
Vinay Suresh
Vetriselvan Subramaniyan
Dan J. Stein
Chandrashekhar T. Sreeramareddy
Ireneous N. Soyiri
Joan B. Soriano
Soroush Soraneh
Roman Shrestha
Sunil Shrestha
Pavanchand H. Shetty
Premalatha K. ShettyS
Seyed Afshin Shorofi
Aminu Shittu
Ujjawal Sharma
Manoj Sharma
Javad Sharifi Rad
Amin Sharifan
Alfiya Shamsutdinova
Sunder Sham
Anthony Zhong
Jingya Zhang
Haijun Zhang
Mohammed G.M. Zeariya
Aurora Zanghì
Fathiah Zakham
Hadiza Yusuf
Zwanden Sule Yahaya
Marcos Roberto Tovani-Palone
Marco Torrado
Jovana Todorovic
Tenaw Yimer Tiruye
Kavumpurathu Raman Thankappan
Ker Kan Tan
Baljinder Singh
Jasvinder A. Singh
Luís Manuel Lopes Rodrigues Silva
João Pedro Silva
Inga Dora Sigfusdottir
Emmanuel Edwar Siddig
Mahabalesh Shetty
Ali Sheidaei
Vishal Sharma
Angga Wilandika
Asokan Govindaraj Vaithinathan
Shu Wang
Nuwan Darshana Wickramasinghe
Yuan Pang Wang
Mandaras Tariku Walde
Isidora S. Vujcic
Saeed Ullah
Aniefiok John Udoakang
Thang Huu Tran
Nguyen Tran Minh Duc
Mircea Tampa
Seyyed Mohammad Tabatabaei
Rafael Tabarés-Seisdedos
Payam Tabaee Damavandi
Lukasz Szarpak
Chandan Kumar Swain
Matiwos Soboka
Mehran Shams-Beyranvand
Alireza Shakeri
Masood Ali Shaikh
Y. Waheed
Farrukh Sobia
Anna Aleksandrovna Skryabina
Valentin Yurievich Skryabin
Surjit Singh
Harmanjit Singh
Paramdeep Singh
Sa’ed H. Zyoud
Asokan Govindaraj Vaithinathan
Shu Wang
Pavanchand H. Shetty
Marco Torrado
Premalatha K. ShettyS
Publication Name: Nature Medicine
Publication Date: 2026-02-01
Volume: 32
Issue: 2
Page Range: 527-544
Description:
Drug use disorders (DUDs) are emerging global public health challenges. Here we investigated the global and regional estimates of the prevalence and burden of DUDs, including amphetamine, cannabis, cocaine and opioid use disorders, from 1990 to 2023 for 204 countries and territories by using the Global Burden of Disease Study 2023. Overall, trends in global age-standardized disability-adjusted life-years of DUDs increased from 169.3 (95% uncertainty interval (95% UI), 134.4–203.9) per 100,000 people in 1990 to 212.0 (95% UI, 179.2–245.6) in 2023. In 2023, both prevalence and burden of DUDs were higher in high-income countries, particularly in the USA. The most prevalent DUDs in 2023 were cannabis use disorder (age-standardized prevalence, 270.8 (95% UI, 201.7–350.0) per 100,000 people) and opioid use disorder (205.9 (95% UI, 178.7–235.0)). Particularly, opioid use disorder showed a nearly twofold increase in prevalence and burden between 1990 and 2023. In 2023, compared with countries where cannabis use was illegal, countries permitting both recreational and medical cannabis use had higher prevalence rates for all types of DUDs. Proactive and effective policies are essential to mitigate the increasing global burden of DUDs.
Open Access: Yes