Soo Kun Lim

Dr. Soo Kun Lim

Associate Prof.
orcid

Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
21 November 2020 in Nephrology
Verified
Journal Article
Open access
PDF file
DYDesmond Yap
Desmond Yap
LMLawrence P. McMahon
Lawrence P. McMahon
CHChuan‐Ming Hao
Chuan‐Ming Hao
NHNan Hu
Nan Hu
HOHirokazu Okada
Hirokazu Okada
FCfor the APSN HIF‐PHI Recommendation Committee
for the APSN HIF‐PHI Recommendation Committee
Renal anaemia is a common and important complication in patients with chronic kidney disease (CKD). The current standard‐of‐care treatment for renal anaemia in CKD patients involves ensuring adequate iron stores and administration of erythropoietin stimulating agents (ESA). Hypoxia inducible factor (HIF) is a key transcription factor primarily involved in the cellular regulation and efficiency of oxygen delivery. Manipulation of the HIF pathway by the use of HIF‐prolyl hydroxylase inhibitors (HIF‐PHI) has emerged as a novel approach for renal anaemia management. Despite it being approved for clinical use in various Asia‐Pacific countries, its novelty mandates the need for nephrologists and clinicians generally in the region to well understand potential benefits and harms when prescribing this class of drug. The Asian Pacific society of nephrology HIF‐PHI Recommendation Committee, formed by a panel of 11 nephrologists from the Asia‐Pacific region who have clinical experience or have been investigators in HIF‐PHI studies, reviewed and deliberated on the clinical and preclinical data concerning HIF‐PHI. This recommendation summarizes the consensus views of the committee regarding the use of HIF‐PHI, taking into account both available data and expert opinion in areas where evidence remains scarce.

7 October 2021 in Membranes
Verified
Journal Article
Open access
PDF file
NSNoresah Said
Noresah Said
Woei Jye LauWoei Jye Lau
Woei Jye Lau
YHYeek Chia Ho
Yeek Chia Ho
Soo Kun LimSoo Kun Lim
Soo Kun Lim
MAMuhammad Nidzhom Zainol Abidin
Muhammad Nidzhom Zainol Abidin
Ahmad Fauzi IsmailAhmad Fauzi Ismail
Ahmad Fauzi Ismail
Dialyzers have been commercially used for hemodialysis application since the 1950s, but progress in improving their efficiencies has never stopped over the decades. This article aims to provide an up-to-date review on the commercial developments and recent laboratory research of dialyzers for hemodialysis application and to discuss the technical aspects of dialyzer development, including hollow fiber membrane materials, dialyzer design, sterilization processes and flow simulation. The technical challenges of dialyzers are also highlighted in this review, which discusses the research areas that need to be prioritized to further improve the properties of dialyzers, such as flux, biocompatibility, flow distribution and urea clearance rate. We hope this review article can provide insights to researchers in developing/designing an ideal dialyzer that can bring the best hemodialysis treatment outcomes to kidney disease patients.

1 May 2025 in The Lancet Digital Health
Verified
Journal Article
Open access
ZMZiyao Meng
Ziyao Meng
ZGZhouyu Guan
Zhouyu Guan
SYShujie Yu
Shujie Yu
YWYilan Wu
Yilan Wu
YZYaoning Zhao
Yaoning Zhao
TWTien Yin Wong
Tien Yin Wong
Improving the accessibility of screening diabetic kidney disease (DKD) and differentiating isolated diabetic nephropathy from non-diabetic kidney disease (NDKD) are two major challenges in the field of diabetes care. We aimed to develop and validate an artificial intelligence (AI) deep learning system to detect DKD and isolated diabetic nephropathy from retinal fundus images. In this population-based study, we developed a retinal image-based AI-deep learning system, DeepDKD, pretrained using 734 084 retinal fundus images. First, for DKD detection, we used 486 312 retinal images from 121 578 participants in the Shanghai Integrated Diabetes Prevention and Care System for development and internal validation, and ten multi-ethnic datasets from China, Singapore, Malaysia, Australia, and the UK (65 406 participants) for external validation. Second, to differentiate isolated diabetic nephropathy from NDKD, we used 1068 retinal images from 267 participants for development and internal validation, and three multi-ethnic datasets from China, Malaysia, and the UK (244 participants) for external validation. Finally, we conducted two proof-of-concept studies: a prospective real-world study with 3 months' follow-up to evaluate the effectiveness of DeepDKD in screening DKD; and a longitudinal analysis of the effectiveness of DeepDKD in differentiating isolated diabetic nephropathy from NDKD on renal function changes with 4·6 years' follow-up. For detecting DKD, DeepDKD achieved an area under the receiver operating characteristic curve (AUC) of 0·842 (95% CI 0·838-0·846) on the internal validation dataset and AUCs of 0·791-0·826 across external validation datasets. For differentiating isolated diabetic nephropathy from NDKD, DeepDKD achieved an AUC of 0·906 (0·825-0·966) on the internal validation dataset and AUCs of 0·733-0·844 across external validation datasets. In the prospective study, compared with the metadata model, DeepDKD could detect DKD with higher sensitivity (89·8% vs 66·3%, p<0·0001). In the longitudinal study, participants with isolated diabetic nephropathy and participants with NDKD identified by DeepDKD had a significant difference in renal function outcomes (proportion of estimated glomerular filtration rate decline: 27·45% vs 52·56%, p=0·0010). Among diverse multi-ethnic populations with diabetes, a retinal image-based AI-deep learning system showed its potential for detecting DKD and differentiating isolated diabetic nephropathy from NDKD in clinical practice. National Key R & D Program of China, National Natural Science Foundation of China, Beijing Natural Science Foundation, Shanghai Municipal Key Clinical Specialty, Shanghai Research Centre for Endocrine and Metabolic Diseases, Innovative research team of high-level local universities in Shanghai, Noncommunicable Chronic Diseases-National Science and Technology Major Project, Clinical Special Program of Shanghai Municipal Health Commission, and the three-year action plan to strengthen the construction of public health system in Shanghai.

6 January 2014 in Transplant International
Verified
Journal Article
Open access
PDF file
SCSteven J. Chadban
Steven J. Chadban
JEJosette Marie Eris
Josette Marie Eris
JKJohn Kanellis
John Kanellis
HPHelen Pilmore
Helen Pilmore
PLPo Chang Lee
Po Chang Lee
TGthe SOCRATES Study Group
the SOCRATES Study Group
Kidney transplant recipients receiving calcineurin inhibitor-based immunosuppression incur increased long-term risks of cancer and kidney fibrosis. Switch to mammalian target of rapamycin (mTOR) inhibitors may reduce these risks. Steroid or Cyclosporin Removal After Transplant using Everolimus (SOCRATES), a 36-month, prospective, multinational, open-label, randomized controlled trial for de novo kidney transplant recipients, assessed whether everolimus switch could enable elimination of mycophenolate plus either steroids or CNI without compromising efficacy. Patients received cyclosporin, mycophenolate and steroids for the first 14 days then everolimus with mycophenolate and CNIwithdrawal (CNI-WD); everolimus with mycophenolate and steroid withdrawal (steroid-WD); or cyclosporin, mycophenolate and steroids (control). 126 patients were randomized. The steroid WD arm was terminated prematurely because of excess discontinuations. Mean eGFR at month 12 for CNI-WD versus control was 65.1 ml/min/1.73 m2 vs. 67.1 ml/min/1.73 m2 by ITT, which met predefined noninferiority criteria (P=0.026). The CNI-WD group experienced a higher rate of BPAR(31% vs. control 13%, P=0.048) and showed a trend towards higher composite treatment failure (BPAR, graft loss, death, loss to follow-up). The 12 month results from SOCRATES show noninferiority in eGFR, but a significant excess of acute rejection when everolimus was commenced at week 2 to enable a progressive withdrawal of mycophenolate and cyclosporin in kidney transplant recipients.

1 September 2014 in Singapore Medical Journal
Verified
Journal Article
Closed access
RMR Maniam
R Maniam
PSP Subramanian
P Subramanian
SSSk Singh
Sk Singh
Soo Kun LimSoo Kun Lim
Soo Kun Lim
KCK Chinna
K Chinna
RRR Rosli
R Rosli
Fatigue and quality of sleep are the main factors that contribute to a poor quality of life among patients on long-term haemodialysis. Studies have also emphasised the importance of exercise for improving the wellbeing of dialysis patients. This study aimed to determine the effectiveness of a predialysis low-to-moderate-intensity exercise programme for reducing fatigue and improving sleep disorders among long-term haemodialysis patients. In this quasi-experimental study, an exercise programme was conducted three times a week for 12 weeks before long-term haemodialysis patients underwent dialysis at two centres. The patients were categorised into either the exercise group (n = 28) or control group (n = 27). The latter was asked to maintain their current lifestyles. Assessments of fatigue and sleep disorder levels were performed for both groups using self-reported questionnaires at baseline and after intervention. The patients' perception of the exercise programme was also determined using self-reported questionnaires. Paired sample t-test indicated improvements in fatigue level in the exercise group (mean fatigue score: post-treatment 40.5 ± 7.9 vs. pre-treatment 30.0 ± 10.9). Improvements in sleep disorders were also observed in the exercise group (mean score: post-treatment 7.6 ± 3.3 vs. pre-treatment 10.1 ± 3.8). However, sleep quality deteriorated in the control group (mean score: post-treatment 10.7 ± 2.9 vs. pre-treatment 9.3 ± 2.9). Simple low-to-moderate-intensity exercise is effective for improving fatigue, sleep disorders and the overall quality of life among haemodialysis patients.

28 August 2014 in BioMed Research International
Verified
Journal Article
Open access
PDF file
AGAroma Agape Gopalai
Aroma Agape Gopalai
SLShen-Yang Lim
Shen-Yang Lim
JCJing Yi Chua
Jing Yi Chua
STShelisa Tey
Shelisa Tey
TLThien Thien Lim
Thien Thien Lim
AAAzlina Ahmad-Annuar
Azlina Ahmad-Annuar
TheLRRK2gene has been associated with both familial and sporadic forms of Parkinson’s disease (PD). The G2019S variant is commonly found in North African Arab and Caucasian PD patients, but this locus is monomorphic in Asians. The G2385R and R1628P variants are associated with a higher risk of developing PD in certain Asian populations but have not been studied in the Malaysian population. Therefore, we screened the G2385R and R1628P variants in 1,202 Malaysian subjects consisting of 695 cases and 507 controls. The G2385R and R1628P variants were associated with a 2.2-fold (P=0.019) and 1.2-fold (P=0.054) increased risk of PD, respectively. Our data concur with other reported findings in Chinese, Taiwanese, Singaporean, and Korean studies.