Jiun-Ling Wang
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The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
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Jiun-Ling Wang has a total of 419 co-authors. Here are the top co-authors by number of shared publications:
- Shan-Chwen Chang
Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
44 shared publications - Po-Ren Hsueh
Department of Laboratory Medicine, China Medical University Hospital, China Medical University
28 shared publications - Yee-Chun Chen
Division of Infectious Diseases, Department of Internal Medicine, National Taiwan University Hospital , Taipei
23 shared publications - Jann-Yuan Wang
Department of Internal Medicine, National Taiwan University Hospital
18 shared publications - Shey-Ying Chen
Department of Emergency Medicine, National Taiwan University Hospital, National Taiwan University College of Medicine, Taipei, Taiwan
13 shared publications - Chia-Hsuin Chang
Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan; Department of Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan; Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan
12 shared publications
Latest Publications
- Open Access
- 24 September 2026
- Published by Frontiers Media SA in Frontiers in Pharmacology
- Vol. 17, 1880132
Tirzepatide versus other anti-diabetic agents for the prevention of diabetic foot complications in patients with type 2 diabetes
Background: Diabetic foot complications affect up to 25% of patients with type 2 diabetes (T2D) and represent a major cause of morbidity. The dual glucose-dependent insulinotropic polypeptide and glucagon-like peptide-1 receptor agonist - tirzepatide (TZP) has demonstrated superior glycemic control compared with semaglutide however, evidence regarding its effects on diabetic foot complications (DFCs) remains limited. Methods: We conducted a retrospective cohort study using the TriNetX network. Adults with T2D initiating TZP, sulfonylurea (SU), dipeptidyl peptidase-4 inhibitors (DPP-4is), sodium–glucose cotransporter-2 inhibitors (SGLT2is), and glucagon-like peptide-1 receptor agonists (GLP-1RAs) between January 2022 and July 2025 were included. Propensity score matching created balanced cohorts for four comparisons. The primary outcome was the risk of DFC - a composite of ulcers, infections, critical limb ischemia, and revascularization or amputation. Results: After matching, four cohorts included 141,002 patients per arm (TZP vs. SU), 131,449 patients per arm (TZP vs. DPP-4i), 146,321 patients per arm (TZP vs. SGLT2i), and 97,457 patients per arm (TZP vs. GLP-1RA). Compared with SU, TZP was associated with reduced diabetic foot complications (HR, 0.80; 95% CI, 0.76–0.84). Similar reductions were observed versus DPP-4i (HR, 0.83; 95% CI, 0.78–0.87) and SGLT2i (HR, 0.88; 95% CI, 0.83–0.92). No difference was found versus GLP-1RA (HR, 0.97; 95% CI, 0.91–1.03). Conclusion: TZP was associated with a reduction in diabetic foot complications compared with SU, DPP-4i, and SGLT2i, with outcomes similar to GLP-1RA. These findings suggest tirzepatide may be a valuable option for patients at risk of ulceration or amputation.
- 24 September 2026
- Published by Frontiers Media SA in Frontiers in Pharmacology
- Vol. 17, 1880132
Open AccessTirzepatide versus other anti-diabetic agents for the prevention of diabetic foot complications in patients with type 2 diabetes
Background: Diabetic foot complications affect up to 25% of patients with type 2 diabetes (T2D) and represent a major cause of morbidity. The dual glucose-dependent insulinotropic polypeptide and glucagon-like peptide-1 receptor agonist - tirzepatide (TZP) has demonstrated superior glycemic control compared with semaglutide however, evidence regarding its effects on diabetic foot complications (DFCs) remains limited. Methods: We conducted a retrospective cohort study using the TriNetX network. Adults with T2D initiating TZP, sulfonylurea (SU), dipeptidyl peptidase-4 inhibitors (DPP-4is), sodium–glucose cotransporter-2 inhibitors (SGLT2is), and glucagon-like peptide-1 receptor agonists (GLP-1RAs) between January 2022 and July 2025 were included. Propensity score matching created balanced cohorts for four comparisons. The primary outcome was the risk of DFC - a composite of ulcers, infections, critical limb ischemia, and revascularization or amputation. Results: After matching, four cohorts included 141,002 patients per arm (TZP vs. SU), 131,449 patients per arm (TZP vs. DPP-4i), 146,321 patients per arm (TZP vs. SGLT2i), and 97,457 patients per arm (TZP vs. GLP-1RA). Compared with SU, TZP was associated with reduced diabetic foot complications (HR, 0.80; 95% CI, 0.76–0.84). Similar reductions were observed versus DPP-4i (HR, 0.83; 95% CI, 0.78–0.87) and SGLT2i (HR, 0.88; 95% CI, 0.83–0.92). No difference was found versus GLP-1RA (HR, 0.97; 95% CI, 0.91–1.03). Conclusion: TZP was associated with a reduction in diabetic foot complications compared with SU, DPP-4i, and SGLT2i, with outcomes similar to GLP-1RA. These findings suggest tirzepatide may be a valuable option for patients at risk of ulceration or amputation.
- Open Access
- 5 August 2026
- Published by American Society for Microbiology in Antimicrobial Agents and Chemotherapy
- Vol. 70 (8) , e0063426
Cefiderocol nonsusceptibility among carbapenem-resistant Pseudomonas aeruginosa and Acinetobacter baumannii : data from the 2024 Antimicrobial Testing Leadership and Surveillance (ATLAS) program
We evaluated cefiderocol activity against carbapenem-resistant Pseudomonas aeruginosa (CRPA) and carbapenem-resistant Acinetobacter baumannii (CRAB), characterized the β-lactamase gene profiles of cefiderocol-nonsusceptible CRPA by metallo-β-lactamase (MBL) subtype, and assessed cross-resistance with comparator agents. Cefiderocol minimum inhibitory concentrations (MICs) for 890 CRPA and 1,063 CRAB isolates from the 2024 Antimicrobial Testing Leadership and Surveillance (ATLAS) program were determined by broth microdilution using iron-depleted cation-adjusted Mueller-Hinton broth. Cefiderocol nonsusceptibility was defined as MIC ≥ 8 mg/L per CLSI (intermediate + resistant). DTRPA was defined as nonsusceptible to all anti-pseudomonal β-lactams and fluoroquinolones; DTRAB was defined as nonsusceptible to carbapenems, ampicillin-sulbactam, and fluoroquinolones, reflecting species-specific susceptibility panels. CRPA isolates underwent molecular screening for bla NDM , bla VIM , bla IMP , serine carbapenemase, and ESBL genes; genotype data were not available for A. baumannii . Cefiderocol susceptibility was 93.9% for CRPA and 88.5% for CRAB, respectively (nonsusceptibility 6.1% and 11.5%, respectively; OR = 2.01, P < 0.001); nonsusceptibility among DTRPA and DTRAB was 8.1% and 11.7%, respectively. Among 54 cefiderocol-nonsusceptible CRPA, 41 (76%) harbored no detectable carbapenemase gene. Nonsusceptibility among MBL-positive CRPA was exclusively attributable to bla NDM producers (27.7%, 13/47); bla VIM -positive ( n = 68) and bla IMP -positive ( n = 21) isolates were uniformly susceptible. Among cefiderocol-nonsusceptible CRPA, 98.1% were co-resistant to ceftazidime-avibactam and 96.3% to ceftolozane-tazobactam.
- 5 August 2026
- Published by American Society for Microbiology in Antimicrobial Agents and Chemotherapy
- Vol. 70 (8) , e0063426
Open AccessCefiderocol nonsusceptibility among carbapenem-resistant Pseudomonas aeruginosa and Acinetobacter baumannii : data from the 2024 Antimicrobial Testing Leadership and Surveillance (ATLAS) program
We evaluated cefiderocol activity against carbapenem-resistant Pseudomonas aeruginosa (CRPA) and carbapenem-resistant Acinetobacter baumannii (CRAB), characterized the β-lactamase gene profiles of cefiderocol-nonsusceptible CRPA by metallo-β-lactamase (MBL) subtype, and assessed cross-resistance with comparator agents. Cefiderocol minimum inhibitory concentrations (MICs) for 890 CRPA and 1,063 CRAB isolates from the 2024 Antimicrobial Testing Leadership and Surveillance (ATLAS) program were determined by broth microdilution using iron-depleted cation-adjusted Mueller-Hinton broth. Cefiderocol nonsusceptibility was defined as MIC ≥ 8 mg/L per CLSI (intermediate + resistant). DTRPA was defined as nonsusceptible to all anti-pseudomonal β-lactams and fluoroquinolones; DTRAB was defined as nonsusceptible to carbapenems, ampicillin-sulbactam, and fluoroquinolones, reflecting species-specific susceptibility panels. CRPA isolates underwent molecular screening for bla NDM , bla VIM , bla IMP , serine carbapenemase, and ESBL genes; genotype data were not available for A. baumannii . Cefiderocol susceptibility was 93.9% for CRPA and 88.5% for CRAB, respectively (nonsusceptibility 6.1% and 11.5%, respectively; OR = 2.01, P < 0.001); nonsusceptibility among DTRPA and DTRAB was 8.1% and 11.7%, respectively. Among 54 cefiderocol-nonsusceptible CRPA, 41 (76%) harbored no detectable carbapenemase gene. Nonsusceptibility among MBL-positive CRPA was exclusively attributable to bla NDM producers (27.7%, 13/47); bla VIM -positive ( n = 68) and bla IMP -positive ( n = 21) isolates were uniformly susceptible. Among cefiderocol-nonsusceptible CRPA, 98.1% were co-resistant to ceftazidime-avibactam and 96.3% to ceftolozane-tazobactam.
- Open Access
- 11 February 2026
- Published by Elsevier in Journal of Global Antimicrobial Resistance
- Vol. 48, 44-57
Tet(X4)-producing Escherichia coli isolates in Taiwan
- 11 February 2026
- Published by Elsevier in Journal of Global Antimicrobial Resistance
- Vol. 48, 44-57
Open AccessTet(X4)-producing Escherichia coli isolates in Taiwan
- Open Access
- 27 January 2026
- Published by Elsevier in Journal of Microbiology, Immunology and Infection
- Vol. 59 (5) , 565-572
Comparative analysis of clinical outcomes and short-term treatment response of sputum microbiome between eosinophilic and non-eosinophilic COPD acute exacerbation
- 27 January 2026
- Published by Elsevier in Journal of Microbiology, Immunology and Infection
- Vol. 59 (5) , 565-572
Open AccessComparative analysis of clinical outcomes and short-term treatment response of sputum microbiome between eosinophilic and non-eosinophilic COPD acute exacerbation
- 20 November 2025
- Published by Elsevier in International Journal of Antimicrobial Agents
- Vol. 67 (1) , 107669
Ceftazidime-avibactam resistance among clinical isolates of Citrobacter freundii, Morganella morganii, Providencia spp. and Serratia marcescens across five continents: Data from the Antimicrobial Testing Leadership and Surveillance (ATLAS) programme, 2016–2023
- 20 November 2025
- Published by Elsevier in International Journal of Antimicrobial Agents
- Vol. 67 (1) , 107669
Ceftazidime-avibactam resistance among clinical isolates of Citrobacter freundii, Morganella morganii, Providencia spp. and Serratia marcescens across five continents: Data from the Antimicrobial Testing Leadership and Surveillance (ATLAS) programme, 2016–2023
- 10 June 2025
- Published by Elsevier in Diabetes Research and Clinical Practice
- Vol. 226, 112324
GLP-1 receptor agonists and hospitalization due to infections in patients with type 2 diabetes: A nationwide cohort study
- 10 June 2025
- Published by Elsevier in Diabetes Research and Clinical Practice
- Vol. 226, 112324
GLP-1 receptor agonists and hospitalization due to infections in patients with type 2 diabetes: A nationwide cohort study
- 26 March 2025
- Published by Wiley in Journal of Oral Rehabilitation
- Vol. 52 (7) , 991-1000
Relationship Between Masticatory Dysfunction and Salivary Microbiota
Backgrounds: Oral health predicts adverse systemic health‐related outcomes, including future physical frailty. This study aimed to determine whether the salivary microbiome is associated with specific oral health indicators. Methods: We collected oral gargle samples from 97 patients admitted to medical wards (mean age, 65 years) and assessed their oral health status. The saliva microbiota was examined via sequencing 16S rRNA genes. Results: Among the oral health indicators, only chewing ability was associated with saliva microbiota. The alpha diversities of bacterial communities decreased as chewing ability declined. Furthermore, patients with normal and abnormal chewing ability exhibited distinct microbial compositions. The relative abundances of Lactobacillus and Limosilactobacillus were higher in the impaired chewing group, whereas Lautropia was more abundant in the normal chewing group. Conclusions: Severe chewing disability might lead to an altered saliva microbiota. This emphasises the importance of restoring chewing function when the disability occurs.
- 26 March 2025
- Published by Wiley in Journal of Oral Rehabilitation
- Vol. 52 (7) , 991-1000
Relationship Between Masticatory Dysfunction and Salivary Microbiota
Backgrounds: Oral health predicts adverse systemic health‐related outcomes, including future physical frailty. This study aimed to determine whether the salivary microbiome is associated with specific oral health indicators. Methods: We collected oral gargle samples from 97 patients admitted to medical wards (mean age, 65 years) and assessed their oral health status. The saliva microbiota was examined via sequencing 16S rRNA genes. Results: Among the oral health indicators, only chewing ability was associated with saliva microbiota. The alpha diversities of bacterial communities decreased as chewing ability declined. Furthermore, patients with normal and abnormal chewing ability exhibited distinct microbial compositions. The relative abundances of Lactobacillus and Limosilactobacillus were higher in the impaired chewing group, whereas Lautropia was more abundant in the normal chewing group. Conclusions: Severe chewing disability might lead to an altered saliva microbiota. This emphasises the importance of restoring chewing function when the disability occurs.
- Open Access
- 7 January 2025
- Published by MDPI AG in Microorganisms
- Vol. 13 (1) , 101
Data Mining Models in Prediction of Vancomycin-Intermediate Staphylococcus aureus in Methicillin-Resistant S. aureus (MRSA) Bacteremia Patients in a Clinical Care Setting
Vancomycin-intermediate Staphylococcus aureus (VISA) is a multi-drug-resistant pathogen of significant clinical concern. Various S. aureus strains can cause infections, from skin and soft tissue infections to life-threatening conditions such as bacteremia and pneumonia. VISA infections, particularly bacteremia, are associated with high mortality rates, with 34% of patients succumbing within 30 days. This study aimed to develop predictive models for VISA (including hVISA) bacteremia outcomes using data mining techniques, potentially improving patient management and therapy selection. We focused on three endpoints in patients receiving traditional vancomycin therapy: VISA persistence in bacteremia after 7 days, after 30 days, and patient mortality. Our analysis incorporated 29 risk factors associated with VISA bacteremia. The resulting models demonstrated high predictive accuracy, with 82.0–86.6% accuracy for 7-day VISA persistence in blood cultures and 53.4–69.2% accuracy for 30-day mortality. These findings suggest that data mining techniques can effectively predict VISA bacteremia outcomes in clinical settings. The predictive models developed have the potential to be applied prospectively in hospital settings, aiding in risk stratification and informing treatment decisions. Further validation through prospective studies is warranted to confirm the clinical utility of these predictive tools in managing VISA infections.
- 7 January 2025
- Published by MDPI AG in Microorganisms
- Vol. 13 (1) , 101
Open AccessData Mining Models in Prediction of Vancomycin-Intermediate Staphylococcus aureus in Methicillin-Resistant S. aureus (MRSA) Bacteremia Patients in a Clinical Care Setting
Vancomycin-intermediate Staphylococcus aureus (VISA) is a multi-drug-resistant pathogen of significant clinical concern. Various S. aureus strains can cause infections, from skin and soft tissue infections to life-threatening conditions such as bacteremia and pneumonia. VISA infections, particularly bacteremia, are associated with high mortality rates, with 34% of patients succumbing within 30 days. This study aimed to develop predictive models for VISA (including hVISA) bacteremia outcomes using data mining techniques, potentially improving patient management and therapy selection. We focused on three endpoints in patients receiving traditional vancomycin therapy: VISA persistence in bacteremia after 7 days, after 30 days, and patient mortality. Our analysis incorporated 29 risk factors associated with VISA bacteremia. The resulting models demonstrated high predictive accuracy, with 82.0–86.6% accuracy for 7-day VISA persistence in blood cultures and 53.4–69.2% accuracy for 30-day mortality. These findings suggest that data mining techniques can effectively predict VISA bacteremia outcomes in clinical settings. The predictive models developed have the potential to be applied prospectively in hospital settings, aiding in risk stratification and informing treatment decisions. Further validation through prospective studies is warranted to confirm the clinical utility of these predictive tools in managing VISA infections.