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3. Clinical use of whole exome sequencing in children with developmental delay/intellectual disability

Author

Yoon Hee Jo, Soo Han Choi, Hye Won Yoo, Min Jung Kwak, Kyung Hee Park, Juhyun Kong, Yun-Jin Lee, Sang Ook Nam, Bo Lyun Lee, Woo Yeong Chung, Seung Hwan Oh, and Young Mi Kim

Subjects
Whole exome sequencing, Next generation sequencing, Developmental delay, Intellectual disability, Pediatrics, RJ1-570
Abstract

Background: Identifying the underlying etiology of developmental delay/intellectual disability (DD/ID) is challenging but important. The genetic diagnosis of unexplained DD/ID helps in the treatment and prognosis of the disability in patients. In this study, we reported our experience of using whole exome sequencing (WES) of children with unexplained DD/ID. Methods: We conducted a retrospective analysis of WES results of children under 19 years of age with unexplained DD/ID between January 2020 and December 2021. The demographic data of all patients and variants identified through WES were evaluated. Furthermore, we evaluated the clinical characteristics that influenced the identification of genetic causes. Results: Forty-one patients with DD/ID were included, of whom 21 (51.2 %) were male. The average age at symptom onset was 1.6 ± 1.3 years, and the duration from symptom onset to diagnosis was 3.1 ± 3.7 years. Hypotonia was the most common symptom (17 patients, 41.5 %), and epilepsy was confirmed in 10 patients (24.4 %). Twenty-two pathogenic/likely pathogenic variants were identified in 20 patients, and three variants of uncertain significance were identified in three patients. Family-based trio Sanger sequencing for candidate variants of 12 families was conducted; 10 variants were de novo, one variant paternally inherited, and two variants compound heterozygous. The diagnostic yield of WES for DD/ID was 48.8 % and was significantly high in patients with an early onset of DD/ID and facial dysmorphism. In contrast, patients with autism spectrum disorder (ASD) were more likely to have negative WES results compared with others without ASD. Conclusion: The diagnostic yield of WES was 48.8 %. We conclude that patients’ characteristics, such as dysmorphic features and the age of symptom onset, can predict the likelihood that WES will identify a causal variant of a phenotype.

Published
2024
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4. Use of colloids and crystalloids for perioperative clinical infusion management in cardiac surgery patients and postoperative outcomes: a meta-analysis

Author

Shan-Dong Chen, Yu-Tong Ma, Hui-Xia Wei, Xin-Rong Ou, Jia-Yi Liu, Ya-Lan Tian, Chao Zhang, Yun-Jin Xu, and Yao Kong

Subjects
Surgery, RD1-811
Abstract

Abstract Background The optimal fluid management strategy for patients undergoing cardiac surgery was controversial regarding fluid volume and intraoperative fluid types. This study aimed to assess the correlation between colloids and crystalloids used for perioperative fluid therapy in cardiac surgery patients and postoperative prognosis. Methods The Ovid MEDLINE(R) ALL, Embase, and Cochrane Central Register of Controlled Trials databases were searched for eligible studies on fluid management strategies using colloids and crystalloids for cardiac surgery patients published before August 25th, 2023. Results Ten randomized controlled trials met the eligibility criteria. Compared to the use of crystalloids, the use of colloids, including hydroxyethyl starch (HES), albumin, and gelatine, did not show any differences in mortality, transfusion, acute kidney injury, and atrial fibrillation rates, postoperative blood loss, the length of hospital stay, or the length of intensive care unit (ICU) stay. The results of this meta-analysis showed that the crystalloid group had significantly reduced postoperative chest tube output compared to the colloid group. In the subgroup analysis, the amount of fresh frozen plasma (FFP) infused was significantly lower when using fluid management in the ICU and when using isotonic crystalloids compared to the colloids. In addition, when using fluid management in the ICU, patients in the colloid group had a significant increase in urine volume 24 h after surgery. However, other related factors, including the type of crystalloid solution, type of colloidal solution, and timing of liquid management, did not affect most outcomes. Conclusion Both colloids and crystalloids could be used as alternatives for perioperative fluid management after cardiac surgery. The use of crystalloids significantly reduced the postoperative chest tube output, and the need for FFP infusion decreased significantly with the use of isotonic crystalloids or fluid management during the ICU stay. ICU patients in the colloid group had higher urine output 24 h after surgery. In addition, although the infusion method was not related to most outcomes, the rates of red blood cell and FFP transfusion and postoperative blood loss in the crystalloid group seemed to be lower, which needed to be further studied in high-quality and large-sample RCTs. Trial registration PROSPERO, CRD42023415234.

Published
2024
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7. Dysregulated RNA editing of EIF2AK2 in polycystic ovary syndrome: clinical relevance and functional implications

Author

Fan-Sheng Kong, Junjie Feng, Jin-Ping Yao, Yinghua Lu, Tao Guo, Meng Sun, Chun-Yan Ren, Yun-Yun Jin, Yaping Ma, and Jian-Huan Chen

Subjects
Polycystic ovary syndrome, RNA editing, EIF2AK2, ADAR, Clinical feature, Peripheral blood, Medicine
Abstract

Abstract Background Polycystic ovary syndrome (PCOS) is a prevalent endocrine disorder affecting women of reproductive ages. Our previous study has implicated a possible link between RNA editing and PCOS, yet the actual role of RNA editing, its association with clinical features, and the underlying mechanisms remain unclear. Methods Ten RNA-Seq datasets containing 269 samples of multiple tissue types, including granulosa cells, T helper cells, placenta, oocyte, endometrial stromal cells, endometrium, and adipose tissues, were retrieved from public databases. Peripheral blood samples were collected from twelve PCOS and ten controls and subjected to RNA-Seq. Transcriptome-wide RNA-Seq data analysis was conducted to identify differential RNA editing (DRE) between PCOS and controls. The functional significance of DRE was evaluated by luciferase reporter assays and overexpression in human HEK293T cells. Dehydroepiandrosterone and lipopolysaccharide were used to stimulate human KGN granulosa cells to evaluate gene expression. Results RNA editing dysregulations across multiple tissues were found to be associated with PCOS in public datasets. Peripheral blood transcriptome analysis revealed 798 DRE events associated with PCOS. Through weighted gene co-expression network analysis, our results revealed a set of hub DRE events in PCOS blood. A DRE event in the eukaryotic translation initiation factor 2-alpha kinase 2 (EIF2AK2:chr2:37,100,559) was associated with PCOS clinical features such as luteinizing hormone (LH) and the ratio of LH over follicle-stimulating hormone. Luciferase assays, overexpression, and knockout of RNA editing enzyme adenosine deaminase RNA specific (ADAR) showed that the ADAR-mediated editing cis-regulated EIF2AK2 expression. EIAF2AK2 showed a higher expression after dehydroepiandrosterone and lipopolysaccharide stimulation, triggering changes in the downstrean MAPK pathway. Conclusions Our study presented the first evidence of cross-tissue RNA editing dysregulation in PCOS and its clinical associations. The dysregulation of RNA editing mediated by ADAR and the disrupted target EIF2AK2 may contribute to PCOS development via the MPAK pathway, underlining such epigenetic mechanisms in the disease.

Published
2024
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8. Self-screening questionnaire for perianal fistulizing disease in patients with Crohn’s disease

Author

O Seong Kweon, Ben Kang, Yoo Jin Lee, Eun Soo Kim, Sung Kook Kim, Hyun Seok Lee, Yun Jin Chung, Kyeong Ok Kim, and Byung Ik Jang

Subjects
perianal fistulizing crohn’s disease, perianal disease, screening tool, Medicine
Abstract

Background/Aims A poor prognostic factor for Crohn’s disease (CD) includes perianal fistulizing disease, including perianal fistula and/or perianal abscess. Currently, a tool to assess perianal symptoms in patients with CD remains nonexistent. This study aimed to develop a perianal fistulizing disease self-screening questionnaire for patients with CD. Methods This prospective pilot study was conducted at three tertiary referral centers between January 2019 and May 2020. We formulated questions on perianal symptoms, including tenesmus, anal discharge, bleeding, pain, and heat. A 4-point Likert scale was used to rate each question. Patients with CD completed a questionnaire and underwent pelvic magnetic resonance imaging (MRI). Results Overall, 93 patients were enrolled, with 51 (54.8%) diagnosed with perianal fistulizing disease, as determined by pelvic MRI. The Spearman correlation findings demonstrated that anal pain (p = 0.450, p < 0.001) and anal discharge (p = 0.556, p < 0.001) were the symptoms that most significantly correlated with perianal disease. For anal pain and discharge, the area under the receiver operating characteristic curve of the scores was significantly higher than that of the combined score for all five symptoms (0.855 vs. 0.794, DeLong’s test p = 0.04). For the two symptoms combined, the sensitivity, specificity, and positive predictive and negative predictive values were 88.2, 73.8, 80.4, and 83.8%, respectively, with 81.7% accuracy for detecting perianal fistulizing disease. Conclusions This study indicates that simple questions regarding anal pain and discharge can help accurately identify the presence of perianal fistulizing disease in patients with CD.

Published
2024
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9. Ocular A-to-I RNA editing signatures associated with SARS-CoV-2 infection

Author

Yun-Yun Jin, Ya-Ping Liang, Wen-Hao Huang, Liang Guo, Li-Li Cheng, Tian-Tian Ran, Jin-Ping Yao, Lin Zhu, and Jian-Huan Chen

Subjects
A-to-I RNA editing, SARS-CoV-2, Ocular surface, Retina, Epitranscriptomic, Biotechnology, TP248.13-248.65, Genetics, QH426-470
Abstract

Abstract Ophthalmic manifestations have recently been observed in acute and post-acute complications of COVID-19 caused by SARS-CoV-2 infection. Our precious study has shown that host RNA editing is linked to RNA viral infection, yet ocular adenosine to inosine (A-to-I) RNA editing during SARS-CoV-2 infection remains uninvestigated in COVID-19. Herein we used an epitranscriptomic pipeline to analyze 37 samples and investigate A-to-I editing associated with SARS-CoV-2 infection, in five ocular tissue types including the conjunctiva, limbus, cornea, sclera, and retinal organoids. Our results revealed dramatically altered A-to-I RNA editing across the five ocular tissues. Notably, the transcriptome-wide average level of RNA editing was increased in the cornea but generally decreased in the other four ocular tissues. Functional enrichment analysis showed that differential RNA editing (DRE) was mainly in genes related to ubiquitin-dependent protein catabolic process, transcriptional regulation, and RNA splicing. In addition to tissue-specific RNA editing found in each tissue, common RNA editing was observed across different tissues, especially in the innate antiviral immune gene MAVS and the E3 ubiquitin-protein ligase MDM2. Analysis in retinal organoids further revealed highly dynamic RNA editing alterations over time during SARS-CoV-2 infection. Our study thus suggested the potential role played by RNA editing in ophthalmic manifestations of COVID-19, and highlighted its potential transcriptome impact, especially on innate immunity.

Published
2024
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10. Mobile monitoring system detects the disease activity pattern and shows the association with clinical outcomes in patients with newly diagnosed Crohn’s disease

Author

Yoo Jin Lee, Sang Gyu Kwak, Eun Soo Kim, Sung Kook Kim, Hyun Seok Lee, Yun Jin Chung, Byung Ik Jang, Kyeong Ok Kim, Jeongseok Kim, Hyeong Ho Jo, and Eun Young Kim

Subjects
Medicine, Science
Abstract

Abstract We aimed to determine whether Crohn’s disease (CD) activity patterns assessed via a web-based symptom diary can help predict clinical outcomes in patients with newly diagnosed CD. Patients diagnosed with CD within the preceding 3 months were prospectively enrolled at four tertiary centers. All patients recorded their symptoms on a website using a smartphone at least once a week. The index outcomes were disease-related admission and surgery during follow-up. The disease activity from enrollment to outcome or last follow-up was reviewed for pattern analysis. Cox regression analysis was used to identify the predictors of disease outcomes. A total of 102 patients were enrolled. During a median follow-up period of 42 months, 25 (24.5%) and 6 (5.9%) patients required admission and surgery, respectively. Poor activity pattern was an independent predictor of disease-related hospitalization (adjusted hazard ratio [aHR], 3.96; 95% confidence interval [CI] 1.5–10.45; p = 0.005). A poor activity pattern (aHR, 19.48; 95% CI 1.86–203.95; p = 0.013) and female sex (aHR, 11.28; 95% CI 1.49–85.01; p = 0.018) were found to be independent predictors of bowel resection. CD disease activity patterns monitored through the mobile monitoring system may help predict clinical outcomes, such as disease-related hospitalization and surgery, in patients with newly diagnosed CD.

Published
2024
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11. Clinical Analysis and Red Flag Signs in Pediatric Headache According to Age

Author

Yoon Hee Jo, Yoo Jung Lee, Donghyun Shin, Soo Young Lyu, Juhyun Kong, Yun-Jin Lee, Sang Ook Nam, and Young Mi Kim

Subjects
headache disorders, primary, headache disorders, secondary, pediatrics, risk factors, Internal medicine, RC31-1245, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571, Neurology. Diseases of the nervous system, RC346-429
Abstract

Purpose The clinical characteristics of headaches vary by age among pediatric patients. Red flag signs are key factors in differentiating secondary headaches and should be considered in the context of the patient’s age. Methods This study involved a retrospective chart review of pediatric patients presenting with headaches. Patients were categorized by age into three groups: pre-school age (under 6 years), school-age (6 to 12 years), and adolescence (over 12 years). Demographic data, headache characteristics, laboratory findings, and neuroimaging results were evaluated. Overall, 17 potential red flags were assessed. Results A total of 687 patients were included, of whom 102 were of pre-school age, 314 were school-aged, and 271 were adolescents. The frequency of overweight/obesity was found to increase with age. The pre-school age group experienced a shorter period from symptom onset to presentation and a briefer duration of pain. In contrast, adolescents displayed a longer period from symptom onset, a greater frequency of headaches occurring at least three times per week, and a higher rate of headache episodes lasting over 3 days. Children under 6 years old were more commonly diagnosed with secondary headaches than older children. Across age groups, secondary headaches were suspected when systemic symptoms such as fever were present, when the headache had a sudden onset, when the patient responded poorly to medication, or when abnormal neurological signs and symptoms were observed. Conclusion The clinical features of pediatric patients vary by age group. Clinicians should consider red flag signs in the context of patient age and individual characteristics.

Published
2024
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12. Is Electroencephalography Useful in Children with Developmental Delays but without Overt Seizures?

Author

Yoo Jung Lee, Yoon Hee Jo, Soo Han Choi, Hye Won Yoo, Ha Young Jo, Su Jeong Park, Kyung Hee Park, Ju Hyun Kong, Yun Jin Lee, Sang Ook Nam, and Young Mi Kim

Subjects
electroencephalography, developmental disabilities, intellectual disability, epilepsy, genetic testing, Internal medicine, RC31-1245, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571, Neurology. Diseases of the nervous system, RC346-429
Abstract

Purpose Electroencephalography (EEG) is useful for clarifying the association between cortical activity and cognitive processes in children. We investigated whether EEG abnormalities were correlated with developmental delay/intellectual disability (DD/ID) in the absence of clinical seizures. Methods We retrospectively identified 166 children with DD/ID who underwent EEG at Pusan National University Hospital between January 2011 and December 2021. We compared clinical characteristics and test results between those with normal and those with abnormal EEGs. Additionally, we analyzed EEG abnormalities in relation to neurodevelopmental disorders, specifically autism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD). Results Of the 166 patients, 39 (23.5%) displayed abnormal EEGs, while 127 (76.5%) had normal EEGs. Of the former, 25 (64.1%) patients exhibited epileptiform discharges, including 22 (56.3%) with focal and three (7.7%) with generalized discharges. Focal discharges most frequently affected the central area (35.9%). Twenty patients (51.3%) exhibited rhythmic slowing patterns. Epilepsy diagnoses were significantly more common among patients with abnormal EEGs (n=8, 20.5%) than among those with normal EEGs (n=9, 7.1%) (P

Published
2024
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13. RNA editing in response to COVID-19 vaccines: unveiling dynamic epigenetic regulation of host immunity

Author

Yun-Yun Jin, Ya-Ping Liang, Jia-Qi Pan, Wen-Hao Huang, Yan-Meng Feng, Wei-Jia Sui, Han Yu, Xiao-Dan Tang, Lin Zhu, and Jian-Huan Chen

Subjects
SARS-CoV-2, A-to-I RNA editing, ADARs, COVID-19 vaccine, immune, Immunologic diseases. Allergy, RC581-607
Abstract

BackgroundCOVID-19 vaccines are crucial for reducing the threat and burden of the pandemic on global public health, yet the epigenetic, especially RNA editing in response to the vaccines remains unelucidated.ResultsOur current study performed an epitranscriptomic analysis of RNA-Seq data of 260 blood samples from 102 healthy and SARS-CoV-2 naïve individuals receiving different doses of the COVID-19 vaccine and revealed dynamic, transcriptome-wide adenosine to inosine (A-to-I) RNA editing changes in response to COVID-19 vaccines (RNA editing in response to COVID-19 vaccines). 5592 differential RNA editing (DRE) sites in 1820 genes were identified, with most of them showing up-regulated RNA editing and correlated with increased expression of edited genes. These deferentially edited genes were primarily involved in immune- and virus-related gene functions and pathways. Differential ADAR expression probably contributed to RNA editing in response to COVID-19 vaccines. One of the most significant DRE in RNA editing in response to COVID-19 vaccines was in apolipoprotein L6 (APOL6) 3’ UTR, which positively correlated with its up-regulated expression. In addition, recoded key antiviral and immune-related proteins such as IFI30 and GBP1 recoded by missense editing was observed as an essential component of RNA editing in response to COVID-19 vaccines. Furthermore, both RNA editing in response to COVID-19 vaccines and its functions dynamically depended on the number of vaccine doses.ConclusionOur results thus underscored the potential impact of blood RNA editing in response to COVID-19 vaccines on the host’s molecular immune system.

Published
2024
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14. The impact of pulmonary tuberculosis on SARS-CoV-2 infection: a nationwide cohort study

Author

Sang Hwan Lee, Yun Jin Kim, Jaehoon Oh, Hyunggoo Kang, Kyung Hun Yoo, Byuk Sung Ko, Tae Ho Lim, Bo-Guen Kim, Hyun Lee, Sang-Heon Kim, Jang Won Sohn, Ho Joo Yoon, Hayoung Choi, Yongil Cho, and Dong Won Park

Subjects
COVID-19, pulmonary tuberculosis, tuberculosis, mortality, coinfection, Medicine (General), R5-920
Abstract

BackgroundThe interaction between COVID-19 and tuberculosis (TB) is not yet fully understood, and large-scale research on the mortality outcome of such dual infection has been limited. This study aimed to investigate the impact of PTB on mortality among patients with COVID-19 within a Korean population by conducting an extensive analysis of a nationwide large dataset.MethodWe investigated the mortality and disease severity among COVID-19 patients who had PTB in South Korea. This study analyzed 462,444 out of 566,494 COVID-19 patients identified between January 2020 and December 2021.ResultA total of 203 COVID-19 with PTB patients and 812 matched COVID-19 without PTB were analyzed using 1:4 propensity score matching. COVID-19 patients with PTB exhibited higher in-hospital mortality (odds ratio (OR) 3.02, 95% confidence interval (CI) 1.45–6.27, p-value = 0.003) and were at increased risk of requiring conventional oxygen therapy (OR 1.57, 95% CI 1.10–2.25, p-value = 0.013) as well as high flow nasal cannula (HFNC) or noninvasive ventilation (NIV) oxygen therapy (OR 1.91, 95 CI 1.10–3.32, p-value = 0.022) compared to those without PTB. Compared to matched COVID-19 without PTB, co-infected patients showed increased mortality rates across various timeframes, including during hospitalization, and at 30 day and 90 day intervals. In-hospital mortality rates were particularly elevated among women, individuals with malignancy, and those with lower incomes. Furthermore, the increased in-hospital mortality among PTB patients persisted irrespective of the timing of TB diagnosis or vaccination status against COVID-19.ConclusionWe suggest that physicians be aware of the risk of mortality and severity among COVID-19 patients with PTB; coinfection with COVID-19 is a critical situation that remains to be further explored and needs more attention in countries with an intermediate to high PTB burden.

Published
2024
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15. Construction and drug screening of Co-culture system using extrahepatic cholangiocarcinoma organoids and tumor-associated macrophages

Author

Yinghao Guo, Qi Li, Qinghuang Ye, Yun Jin, Yuanquan Yu, Xiaoxiao Zhang, Longfu Xi, Yihang Wang, Di Wu, Yanzhi Pan, Shumei Wei, Qingyong Li, Huiquan Wang, and Jiangtao Li

Subjects
Extrahepatic cholangiocarcinoma, Organoids, Tumor-associated macrophages, Genetic profiles, Therapy resistance, Science (General), Q1-390, Social sciences (General), H1-99
Abstract

Patient-derived organoids (PDOs) have been proposed as a novel in vitro tumor model that can be applied to tumor research and drug screening. However, current tumor organoid models lack components of the tumor microenvironment, particularly tumor-associated macrophages(TAMs).We collected peripheral blood and tumor samples from 6 patients with extrahepatic cholangiocarcinoma(eCCA). Monocytes were induced into TAMs by cytokine and conditioned medium, and then co-cultured with tumor organoids. Our comprehensive analysis and comparison of histopathology and genomics results confirmed that this co-culture model can better capture intra- and inter-tumor heterogeneity retain the specific mutations of the original tumor. Drug sensitivity data in vitro revealed that gemcitabine and cisplatin are effective drugs for cholangiocarcinoma, but TAMs in the tumor microenvironment promote organoids growth and chemotherapy resistance. In conclusion, our organoid model of cholangiocarcinoma co-cultured with TAMs can not only shorten the model construction cycle, but also preserve the heterogeneity of original tumors to improve the accuracy of drug screening, and can also be applied to the researches of TAMs and tumors.

Published
2024
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16. Ferritin light chain as a potential biomarker for the prognosis of liver hepatocellular carcinoma

Author

Aoqun Li, Yue Li, Xiaoqing Li, Chunxiao Tang, Yang Yang, Nan Li, and Yun Jin

Subjects
FTL, Pan-cancer, Liver hepatocellular carcinoma, TME, Immune infiltration, Biomarker, Science (General), Q1-390, Social sciences (General), H1-99
Abstract

High expression of the ferritin light chain (FTL) in cancer promotes its onset and progression and is associated with tumour evolution. However, the significance of FTL in pan-cancer progression and prognosis in humans remains unclear. Therefore, we selected various bioinformatics databases to perform a pan-cancer analysis on a public dataset. Our results showed that FTL was differentially expressed in pan-cancer tissues compared to normal tissues. High FTL expression significantly correlated with the clinicopathological characteristics of patients with liver hepatocellular carcinoma (LIHC). The subsequent validation experiments confirmed these observations. Notably, our study found for the first time that FTLs are closely associated with LIHC and that FTLs have important clinical diagnostic and prognostic value for patients with LIHC. We confirmed that FTL expression was closely associated with altered DNA cycles and immune infiltration in LIHC. In conclusion, high levels of FTL expression are associated with poor prognosis in LIHC patients and are expected to be a potential prognostic and immune marker for LIHC.

Published
2024
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17. Artificial intelligence and job performance of healthcare providers in China

Author

Qi Zheng, Yun Jin, and Xinying Xu

Subjects
artificial intelligence, job performance, healthcare providers, patients’ support, China, Public aspects of medicine, RA1-1270
Abstract

IntroductionThis study explores the influence of artificial intelligence (A.I.) applications on the job performance of healthcare providers, based on data from standardised-trained residents in the First People’s Hospital of Yunnan Province in China.MethodsThe ordinary least squares model is employed to examine the relationship between A.I. applications and job performance. To address potential endogeneity and missing variables, we utilise the propensity score matching method and alternative regression models.ResultsThe findings indicate that the job performance of standardised-trained residents positively correlates with A.I. applications. This relationship remains robust after addressing endogenous and missing variables. Further discussion reveals that patients’ support mediates the relationship between A.I. and job performance. Under identical conditions, the job performance of female residents empowered by A.I. is found to be significantly better than that of their male counterparts. Conversely, no heterogeneity is observed regarding the impact of A.I. on the job performance of medical practitioners and clinical medical technicians.DiscussionThis study underscores the positive role of A.I. applications in enhancing the job performance of standardised-trained residents. The results highlight the mediating role of patient support and suggest gender-based differences in the efficacy of A.I. empowerment.

Published
2024
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18. Dynamic A-to-I RNA editing during acute neuroinflammation in sepsis-associated encephalopathy

Author

Yu-Ning Li, Ya-Ping Liang, Jing-Qian Zhang, Na Li, Zhi-Yuan Wei, Yijian Rao, Jian-Huan Chen, and Yun-Yun Jin

Subjects
RNA editing, sepsis-associated encephalopathy, acute neuroinflammation, cerebral vessels, cerebral endothelial cells, microglia, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
Abstract

IntroductionThe activation of cerebral endothelial cells (CECs) has recently been reported to be the earliest acute neuroinflammation event in the CNS during sepsis-associated encephalopathy (SAE). Importantly, adenosine-to-inosine (A-to-I) RNA editing mediated by ADARs has been associated with SAE, yet its role in acute neuroinflammation in SAE remains unclear.MethodsOur current study systematically analyzed A-to-I RNA editing in cerebral vessels, cerebral endothelial cells (CECs), and microglia sampled during acute neuroinflammation after treatment in a lipopolysaccharide (LPS)-induced SAE mouse model.ResultsOur results showed dynamic A-to-I RNA editing activity changes in cerebral vessels during acute neuroinflammation. Differential A-to-I RNA editing (DRE) associated with acute neuroinflammation were identified in these tissue or cells, especially missense editing events such as S367G in antizyme inhibitor 1 (Azin1) and editing events in lincRNAs such as maternally expressed gene 3 (Meg3), AW112010, and macrophage M2 polarization regulator (Mm2pr). Importantly, geranylgeranyl diphosphate synthase 1 (Ggps1) and another three genes were differentially edited across cerebral vessels, CECs, and microglia. Notably, Spearman correlation analysis also revealed dramatic time-dependent DRE during acute neuroinflammation, especially in GTP cyclohydrolase1 (Gch1) and non-coding RNA activated by DNA damage (Norad), both with the editing level positively correlated with both post-LPS treatment time and edited gene expression in cerebral vessels and CECs.DiscussionThe findings in our current study demonstrate substantial A-to-I RNA editing changes during acute neuroinflammation in SAE, underlining its potential role in the disease.

Published
2024
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23. An Adaptive Distributed Consumer Trust Model for Social Commerce

Author

Xiumu Weng, Ding Pan, and Yun Jin

Subjects
Electronic computers. Computer science, QA75.5-76.95, Cybernetics, Q300-390
Abstract

Consumer trust is a crucial issue in social commerce, i.e. how to help consumers find trustworthy products. However, the current evaluation system in the market has significant shortcomings. This can be improved by trust and reputation modeling, but the existing models have flaws. This paper proposes an adaptive distributed trust model. The main features of its algorithm include (1) When calculating product trustworthiness, evaluations from consumers themselves, social networks, and e-commerce platforms are integrated, and the importance of these three sources of trust can change adaptively as consumers learn. (2) When selecting product providers and advisers, the Softmax algorithm is used to deal with the “exploration or exploitation” dilemma in reinforcement learning. (3) Consider the emotional attachment between consumers and advisers. (4) Design a blacklist mechanism to determine alternative product providers. The main contribution of this study lies in this model. Comparison with existing typical models shows that in various market scenarios, or when different market features change, this model can provide consumers with higher utility. This is because it better fits the characteristics of social commerce and has stronger adaptability. The results of this paper can not only provide a foundational model for related research but also can be used to develop a novel distributed product evaluation system for social commerce.

Published
2024
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24. Efficacy and safety of antibody–drug conjugates in the treatment of urothelial cell carcinoma: a systematic review and meta-analysis of prospective clinical trials

Author

Jun-Wei Ren, Ze-Yu Chen, Yun-Jin Bai, and Ping Han

Subjects
antibody–drug conjugate, ADC, transitional cell carcinoma, urothelial cell carcinoma, single-arm meta-analysis, Therapeutics. Pharmacology, RM1-950
Abstract

Introduction: Urothelial carcinoma (UC) is a refractory disease for which achieving satisfactory outcomes remains challenging with current surgical interventions. Antibody–drug conjugates (ADCs) are a novel class of targeted therapeutics that have demonstrated encouraging results for UC. Although there is a limited number of high-quality randomized control trials (RCTs) examining the use of ADCs in patients with UC, some prospective non-randomized studies of interventions (NRSIs) provide valuable insights and pertinent information. We aim to assess the efficacy and safety of ADCs in patients with UC, particularly those with locally advanced and metastatic diseases.Methods: A systematic search was conducted across PubMed, Embase, the Cochrane Library, and Web of Science databases to identify pertinent studies. Outcomes, such as the overall response rate (ORR), disease control rate (DCR), progression-free survival (PFS), overall survival (OS), adverse events (AEs), and treatment-related adverse events (TRAEs), were extracted for further analyses.Results: Twelve studies involving 1,311 patients were included in this meta-analysis. In terms of tumor responses, the pooled ORR and DCR were 40% and 74%, respectively. Regarding survival analysis, the pooled median PFS and OS were 5.66 months and 12.63 months, respectively. The pooled 6-month PFS and OS were 47% and 80%, while the pooled 1-year PFS and OS were 22% and 55%, respectively. The most common TRAEs of the ADCs were alopecia (all grades: 45%, grades ≥ III: 0%), decreased appetite (all grades: 34%, grades ≥ III: 3%), dysgeusia (all grades: 40%, grades ≥ III: 0%), fatigue (all grades: 39%, grades ≥ III: 5%), nausea (all grades: 45%, grades ≥ III: 2%), peripheral sensory neuropathy (all grades: 37%, grades ≥ III: 2%), and pruritus (all grades: 32%, grades ≥ III: 1%).Conclusion: The meta-analysis in this study demonstrates that ADCs have promising efficacies and safety for patients with advanced or metastatic UC.Systematic review registration:https://www.crd.york.ac.uk/prospero/, identifier: CRD42023460232

Published
2024
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25. The roles of sampling depth, lateral profile density and vertical sampling density in 3D digital soil mapping of soil organic carbon

Author

Mei-Wei Zhang, Xiao-Lin Sun, Xiao-Qing Wang, Hua-Lei Yang, Hui-Li Wang, Zhi-Gang Huang, Dai-Hua Jiang, and Yun-Jin Wu

Subjects
Digital soil mapping, Geostatistics, Pedometrics, Three dimension, Sampling, Science
Abstract

Sampling density and depth play crucial roles in three-dimensional (3D) soil modeling and prediction, particularly in digital soil mapping (DSM). However, previous studies have yielded inconsistent and even contradictory results regarding impacts of sampling density and depth on the accuracy of 3D DSM. Hence, this study aimed to evaluate the impacts of sampling depth, vertical sampling density and lateral profile density on 3D soil mapping accuracy based on a case study of soil organic carbon (SOC). To achieve this, a comprehensive analysis was conducted based on 511 soil samples collected from 111 profiles in a local hilly area spanning 5.52 km2 in China. A 3D regression geostatistical approach was employed for the analysis. The results revealed that samples taken from different depth intervals exhibited varying degrees of importance in relation to prediction accuracy. Notably, a reduced number of surface soil samples (0–0.3 m) led to significant fluctuations in the accuracy of predictions for the entire soil profile. Furthermore, a lower number of subsurface soil samples (0.3–0.6 m) also diminished the overall prediction accuracy, while the influence of deeper soil samples (0.6–1.2 m) on the overall accuracy was relatively less pronounced. Reducing the number of profiles for calibration led to significantly worse and more variable prediction accuracy, compared to reducing vertical samples. For 3D mapping, this study recommends prioritizing the collection of additional lateral profiles, specifically focusing on surface and subsurface soils, especially for properties that display vertical variation similar to SOC.

Published
2024
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26. Noninvasive Assessment of Tumor Histological Grade in Invasive Breast Carcinoma Based on Ultrasound Radiomics and Clinical Characteristics: A Multicenter Study

Author

Lifang Ge MD, Jiangfeng Wu MD, Yun Jin MD, Dong Xu MD, and Zhengping Wang MD

Subjects
Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

Rationale and Objectives: We aimed to develop and validate prediction models for histological grade of invasive breast carcinoma (BC) based on ultrasound radiomics features and clinical characteristics. Materials and Methods: A number of 383 patients with invasive BC were retrospectively enrolled and divided into a training set (207 patients), internal validation set (90 patients), and external validation set (86 patients). Ultrasound radiomics features were extracted from all the eligible patients. The Boruta method was used to identify the most useful features. Seven classifiers were adopted to developed prediction models. The output of the classifier with best performance was labeled as the radiomics score (Rad-score) and the classifier was selected as the Rad-score model. A combined model combining clinical factors and Rad-score was developed. The performance of the models was evaluated using receiver operating characteristic curve. Results: Seven radiomics features were selected from 788 candidate features. The logistic regression model performing best among the 7 classifiers in the internal and external validation sets was considered as Rad-score model, with areas under the receiver operating characteristic curve (AUC) values of 0.731 and 0.738. The tumor size was screened out as the risk factor and the combined model was developed, with AUC values of 0.721 and 0.737 in the internal and external validation sets. Furthermore, the 10-fold cross-validation demonstrated that the 2 models above were reliable and stable. Conclusion: The Rad-score model and combined model were able to predict histological grade of invasive BC, which may enable tailored therapeutic strategies for patients with BC in routine clinical use.

Published
2024
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27. Analysis of the expression level and predictive value of CLEC16A|miR-654-5p|RARA regulatory axis in the peripheral blood of patients with ischemic stroke based on biosignature analysis

Author

Jiang-jie Hao, Yuan Liu, Jun-hua Lu, Ying Zhao, Ying Lin, Li-qiu Ma, Ping Xue, Bao-yun Jin, Bei-bei Li, Zheng Zhou, Xin-xin Huang, Ting Liu, Meng-yue Li, Jin-ying Lai, and Hong-jun Guan

Subjects
ischemic stroke, ceRNA, biomarker, bioinformatics, CLEC16A, miR-654-5p, Neurology. Diseases of the nervous system, RC346-429
Abstract

IntroductionIschemic stroke (IS) is a cerebrovascular disease that can be disabling and fatal, and there are limitations in the clinical treatment and prognosis of IS. It has been reported that changes in the expression profile of circRNAs have been found during injury in ischemic stroke, and circRNAs play an important role in the IS cascade response. However, the specific mechanisms involved in the pathogenesis of IS are not yet fully understood, and thus in-depth studies are needed.MethodsIn this study, one circRNA dataset (GSE161913), one miRNA dataset (GSE60319) and one mRNA dataset (GSE180470) were retrieved from the Gene Expression Omnibus (GEO) database and included, and the datasets were differentially expressed analyzed by GEO2R and easyGEO to get the DEcircRNA, DEmiRNA and DEmRNA, and DEmRNA was enriched using ImageGP, binding sites were predicted in the ENCORI database, respectively, and the competitive endogenous RNA (ceRNA) regulatory network was visualized by the cytoscape software, and then selected by MCC scoring in the cytoHubba plugin Hub genes. In addition, this study conducted a case–control study in which blood samples were collected from stroke patients and healthy medical examiners to validate the core network of ceRNAs constructed by biosignature analysis by real-time fluorescence quantitative qRT-PCR experiments.ResultsA total of 233 DEcircRNAs, 132 DEmiRNAs and 72 DEmRNAs were screened by bioinformatics analysis. circRNA-mediated ceRNA regulatory network was constructed, including 148 circRNAs, 43 miRNAs and 44 mRNAs. Finally, CLEC16A|miR-654-5p|RARA competitive endogenous regulatory axis was selected for validation by qRT-PCR, and the validation results were consistent with the bioinformatics analysis.DiscussionIn conclusion, the present study establishes a new axis of regulation associated with IS, providing new insights into the pathogenesis of IS.

Published
2024
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34. Comprehensive genomic profiling of breast cancers characterizes germline-somatic mutation interactions mediating therapeutic vulnerabilities

Author

Chao Chen, Cai-Jin Lin, Yu-Chen Pei, Ding Ma, Li Liao, Si-Yuan Li, Lei Fan, Gen-Hong Di, Song-Yang Wu, Xi-Yu Liu, Yun-Jin Wang, Qi Hong, Guo-Liang Zhang, Lin-Lin Xu, Bei-Bei Li, Wei Huang, Jin-Xiu Shi, Yi-Zhou Jiang, Xin Hu, and Zhi-Ming Shao

Subjects
Cytology, QH573-671
Abstract

Abstract Germline-somatic mutation interactions are universal and associated with tumorigenesis, but their role in breast cancer, especially in non-Caucasians, remains poorly characterized. We performed large-scale prospective targeted sequencing of matched tumor-blood samples from 4079 Chinese females, coupled with detailed clinical annotation, to map interactions between germline and somatic alterations. We discovered 368 pathogenic germline variants and identified 5 breast cancer DNA repair-associated genes (BCDGs; BRCA1/BRCA2/CHEK2/PALB2/TP53). BCDG mutation carriers, especially those with two-hit inactivation, demonstrated younger onset, higher tumor mutation burden, and greater clinical benefits from platinum drugs, PARP inhibitors, and immune checkpoint inhibitors. Furthermore, we leveraged a multiomics cohort to reveal that clinical benefits derived from two-hit events are associated with increased genome instability and an immune-activated tumor microenvironment. We also established an ethnicity-specific tool to predict BCDG mutation and two-hit status for genetic evaluation and therapeutic decisions. Overall, this study leveraged the large sequencing cohort of Chinese breast cancers, optimizing genomics-guided selection of DNA damaging-targeted therapy and immunotherapy within a broader population.

Published
2023
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36. Comparative Effectiveness of Cryotherapy and Radiofrequency Ablation for Chronic Rhinitis: A Systematic Review and Meta-analysis

Author

Yun Jin Kang, Gulnaz Stybayeva, and Se Hwan Hwang

Subjects
rhinitis, rhinitis, allergic, radiofrequency ablation, cryotherapy, nose, Medicine, Otorhinolaryngology, RF1-547
Abstract

Objectives. Multiple minimally invasive techniques for chronic rhinitis treatment focus on posterior nasal nerve ablation. We conducted a systematic review and meta-analysis to evaluate the efficacy of cryotherapy and radiofrequency ablation for alleviating symptoms in patients with allergic and nonallergic rhinitis. Methods. We retrieved studies from PubMed, Scopus, Embase, Web of Science, and Cochrane Database up to July 2023. Data on the impact of cryotherapy and radiofrequency ablation on quality of life and symptom ratings of rhinitis were extracted and evaluated. Results. An analysis of 12 studies involving 788 patients demonstrated significant improvements in quality of life and rhinitis-related symptoms (nasal obstruction, itching, rhinorrhea, and sneezing) in patients treated with cryotherapy or radiofrequency ablation (symptom score at 24 months and quality of life score at 3 months). However, radiofrequency ablation had a more positive effect on nasal symptoms after 3 months than cryotherapy. Nonallergic rhinitis patients responded more favorably to posterior nerve ablation than patients with allergic rhinitis. Both techniques enhanced disease-specific quality of life during the initial 3 months of treatment (cryotherapy, 84.6%; radiofrequency, 81.6%; P=0.564). After 3 months of treatment, a clinical improvement in all nasal symptoms (minimal clinically important difference in the total nasal symptom score: >1.0 points) was seen in 81.8% and 91.9% of patients who underwent cryotherapy and radiofrequency ablation, respectively (P=0.005), suggesting that radiofrequency is more likely to lead to clinical improvement. Conclusion. Rhinitis-associated subjective symptom scores and quality of life may be improved by both cryotherapy and radiofrequency ablation. Ablation was more efficacious than cryotherapy for nasal symptoms in patients with nonallergic rhinitis. To corroborate these findings, further randomized controlled studies directly comparing these two techniques are warranted.

Published
2023
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37. Neuron-Specific Enolase as a Predictor of Neurologic Outcomes in Extracorporeal Cardiopulmonary Resuscitation Patients

Author

Yong Ho Jeong, Suk Kyung Lim, Yongil Cho, Yun Jin Kim, Hyo Jun Jang, Yang Hyun Cho, Yonghoon Shin, Jae Seung Jung, Jin Kook Kang, Sung-Min Cho, and Jun Ho Lee

Subjects
extracorporeal life support, extracorporeal cardiopulmonary resuscitation, neuron-specific enolase, neurologic outcome, mortality, Medicine
Abstract

Background: Neuron-specific enolase (NSE) has traditionally been used as a biomarker to predict neurologic outcomes after cardiac arrest. This study aimed to evaluate the utility of NSE in predicting neurologic outcomes in patients undergoing extracorporeal cardiopulmonary resuscitation (ECPR). Methods: This observational cohort study included 47 consecutive adult ECPR patients (median age, 59.0 years; 74.5% males) treated between January 2018 and December 2021 at a tertiary extracorporeal life support center. The primary outcome was a poor neurologic outcome, defined as a Cerebral Performance Category score of 3–5 at hospital discharge. Results: Twelve (25.5%) patients had abnormal findings on computed tomography of the brain. A poor neurologic outcome was demonstrated in 22 (46.8%) patients. The NSE level at 72 h after ECPR showed the best prediction power for a poor neurologic outcome compared with NSE at 24 and 48 h. A cutoff value exceeding 61.9 μg/L for NSE at 72 h yielded an area under the curve (AUC) of 0.791 for predicting poor neurologic outcomes and exceeding 62.1 μg/L with an AUC of 0.838 for 30-day mortality. Conclusions: NSE levels at 72 h after ECPR appear to be a reliable biomarker for predicting poor neurologic outcomes and 30-day mortality in ECPR patients.

Published
2024
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42. Global burden and strength of evidence for 88 risk factors in 204 countries and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

Author

Brauer, Michael, Roth, Gregory A, Aravkin, Aleksandr Y, Zheng, Peng, Abate, Kalkidan Hassen, Abate, Yohannes Habtegiorgis, Abbafati, Cristiana, Abbasgholizadeh, Rouzbeh, Abbasi, Madineh Akram, Abbasian, Mohammadreza, Abbasifard, Mitra, Abbasi-Kangevari, Mohsen, Abd ElHafeez, Samar, Abd-Elsalam, Sherief, Abdi, Parsa, Abdollahi, Mohammad, Abdoun, Meriem, Abdulah, Deldar Morad, Abdullahi, Auwal, Abebe, Mesfin, Abedi, Aidin, Abedi, Armita, Abegaz, Tadesse M, Abeldaño Zuñiga, Roberto Ariel, Abiodun, Olumide, Abiso, Temesgen Lera, Aboagye, Richard Gyan, Abolhassani, Hassan, Abouzid, Mohamed, Aboye, Girma Beressa, Abreu, Lucas Guimarães, Abualruz, Hasan, Abubakar, Bilyaminu, Abu-Gharbieh, Eman, Abukhadijah, Hana Jihad Jihad, Aburuz, Salahdein, Abu-Zaid, Ahmed, Adane, Mesafint Molla, Addo, Isaac Yeboah, Addolorato, Giovanni, Adedoyin, Rufus Adesoji, Adekanmbi, Victor, Aden, Bashir, Adetunji, Juliana Bunmi, Adeyeoluwa, Temitayo Esther, Adha, Rishan, Adibi, Amin, Adnani, Qorinah Estiningtyas Sakilah, Adzigbli, Leticia Akua, Afolabi, Aanuoluwapo Adeyimika, Afolabi, Rotimi Felix, Afshin, Ashkan, Afyouni, Shadi, Afzal, Muhammad Sohail, Afzal, Saira, Agampodi, Suneth Buddhika, Agbozo, Faith, Aghamiri, Shahin, Agodi, Antonella, Agrawal, Anurag, Agyemang-Duah, Williams, Ahinkorah, Bright Opoku, Ahmad, Aqeel, Ahmad, Danish, Ahmad, Firdos, Ahmad, Noah, Ahmad, Shahzaib, Ahmad, Tauseef, Ahmed, Ali, Ahmed, Anisuddin, Ahmed, Ayman, Ahmed, Luai A, Ahmed, Muktar Beshir, Ahmed, Safoora, Ahmed, Syed Anees, Ajami, Marjan, Akalu, Gizachew Taddesse, Akara, Essona Matatom, Akbarialiabad, Hossein, Akhlaghi, Shiva, Akinosoglou, Karolina, Akinyemiju, Tomi, Akkaif, Mohammed Ahmed, Akkala, Sreelatha, Akombi-Inyang, Blessing, Al Awaidy, Salah, Al Hasan, Syed Mahfuz, Alahdab, Fares, AL-Ahdal, Tareq Mohammed Ali, Alalalmeh, Samer O, Alalwan, Tariq A, Al-Aly, Ziyad, Alam, Khurshid, Alam, Nazmul, Alanezi, Fahad Mashhour, Alanzi, Turki M, Albakri, Almaza, AlBataineh, Mohammad T, Aldhaleei, Wafa A, Aldridge, Robert W, Alemayohu, Mulubirhan Assefa, Alemu, Yihun Mulugeta, Al-Fatly, Bassam, Al-Gheethi, Adel Ali Saeed, Al-Habbal, Khairat, Alhabib, Khalid F, Alhassan, Robert Kaba, Ali, Abid, Ali, Amjad, Ali, Beriwan Abdulqadir, Ali, Iman, Ali, Liaqat, Ali, Mohammed Usman, Ali, Rafat, Ali, Syed Shujait Shujait, Ali, Waad, Alicandro, Gianfranco, Alif, Sheikh Mohammad, Aljunid, Syed Mohamed, Alla, François, Al-Marwani, Sabah, Al-Mekhlafi, Hesham M, Almustanyir, Sami, Alomari, Mahmoud A, Alonso, Jordi, Alqahtani, Jaber S, Alqutaibi, Ahmed Yaseen, Al-Raddadi, Rajaa M, Alrawashdeh, Ahmad, Al-Rifai, Rami Hani, Alrousan, Sahel Majed, Al-Sabah, Salman Khalifah, Alshahrani, Najim Z, Altaany, Zaid, Altaf, Awais, Al-Tawfiq, Jaffar A, Altirkawi, Khalid A, Aluh, Deborah Oyine, Alvis-Guzman, Nelson, Alvis-Zakzuk, Nelson J, Alwafi, Hassan, Al-Wardat, Mohammad Sami, Al-Worafi, Yaser Mohammed, Aly, Hany, Aly, Safwat, Alzoubi, Karem H, Al-Zyoud, Walid, Amaechi, Uchenna Anderson, Aman Mohammadi, Masous, Amani, Reza, Amiri, Sohrab, Amirzade-Iranaq, Mohammad Hosein, Ammirati, Enrico, Amu, Hubert, Amugsi, Dickson A, Amusa, Ganiyu Adeniyi, Ancuceanu, Robert, Anderlini, Deanna, Anderson, Jason A, Andrade, Pedro Prata, Andrei, Catalina Liliana, Andrei, Tudorel, Anenberg, Susan C, Angappan, Dhanalakshmi, Angus, Colin, Anil, Abhishek, Anil, Sneha, Anjum, Afifa, Anoushiravani, Amir, Antonazzo, Ippazio Cosimo, Antony, Catherine M, Antriyandarti, Ernoiz, Anuoluwa, Boluwatife Stephen, Anvari, Davood, Anvari, Saeid, Anwar, Saleha, Anwar, Sumadi Lukman, Anwer, Razique, Anyabolo, Ekenedilichukwu Emmanuel, Anyasodor, Anayochukwu Edward, Apostol, Geminn Louis Carace, Arabloo, Jalal, Arabzadeh Bahri, Razman, Arafat, Mosab, Areda, Demelash, Aregawi, Brhane Berhe, Aremu, Abdulfatai, Armocida, Benedetta, Arndt, Michael Benjamin, Ärnlöv, Johan, Arooj, Mahwish, Artamonov, Anton A, Artanti, Kurnia Dwi, Aruleba, Idowu Thomas, Arumugam, Ashokan, Asbeutah, Akram M, Asgary, Saeed, Asgedom, Akeza Awealom, Ashbaugh, Charlie, Ashemo, Mubarek Yesse, Ashraf, Tahira, Askarinejad, Amir, Assmus, Michael, Astell-Burt, Thomas, Athar, Mohammad, Athari, Seyyed Shamsadin, Atorkey, Prince, Atreya, Alok, Aujayeb, Avinash, Ausloos, Marcel, Avila-Burgos, Leticia, Awoke, Andargie Abate, Ayala Quintanilla, Beatriz Paulina, Ayatollahi, Haleh, Ayestas Portugal, Carlos, Ayuso-Mateos, Jose L, Azadnajafabad, Sina, Azevedo, Rui M S, Azhar, Gulrez Shah, Azizi, Hosein, Azzam, Ahmed Y, Backhaus, Insa Linnea, Badar, Muhammad, Badiye, Ashish D, Bagga, Arvind, Baghdadi, Soroush, Bagheri, Nasser, Bagherieh, Sara, Bahrami Taghanaki, Pegah, Bai, Ruhai, Baig, Atif Amin, Baker, Jennifer L, Bakkannavar, Shankar M, Balasubramanian, Madhan, Baltatu, Ovidiu Constantin, Bam, Kiran, Bandyopadhyay, Soham, Banik, Biswajit, Banik, Palash Chandra, Banke-Thomas, Aduragbemi, Bansal, Hansi, Barchitta, Martina, Bardhan, Mainak, Bardideh, Erfan, Barker-Collo, Suzanne Lyn, Bärnighausen, Till Winfried, Barone-Adesi, Francesco, Barqawi, Hiba Jawdat, Barrero, Lope H, Barrow, Amadou, Barteit, Sandra, Basharat, Zarrin, Basiru, Afisu, Basso, João Diogo, Bastan, Mohammad-Mahdi, Basu, Sanjay, Batchu, Sai, Batra, Kavita, Batra, Ravi, Baune, Bernhard T, Bayati, Mohsen, Bayileyegn, Nebiyou Simegnew, Beaney, Thomas, Behnoush, Amir Hossein, Beiranvand, Maryam, Béjot, Yannick, Bekele, Alehegn, Belgaumi, Uzma Iqbal, Bell, Arielle Wilder, Bell, Michelle L, Bello, Muhammad Bashir, Bello, Olorunjuwon Omolaja, Belo, Luis, Beloukas, Apostolos, Bendak, Salaheddine, Bennett, Derrick A, Bennitt, Fiona B, Bensenor, Isabela M, Benzian, Habib, Beran, Azizullah, Berezvai, Zombor, Bernabe, Eduardo, Bernstein, Robert S, Bettencourt, Paulo J G, Bhagavathula, Akshaya Srikanth, Bhala, Neeraj, Bhandari, Dinesh, Bhardwaj, Nikha, Bhardwaj, Pankaj, Bhaskar, Sonu, Bhat, Ajay Nagesh, Bhat, Vivek, Bhatti, Gurjit Kaur, Bhatti, Jasvinder Singh, Bhatti, Manpreet S, Bhatti, Rajbir, Bhuiyan, Mohiuddin Ahmed, Bhutta, Zulfiqar A, Bikbov, Boris, Bishai, Jessica Devin, Bisignano, Catherine, Biswas, Atanu, Biswas, Bijit, Biswas, Raaj Kishore, Bjørge, Tone, Boachie, Micheal Kofi, Boakye, Hosea, Bockarie, Moses John, Bodolica, Virginia, Bodunrin, Aadam Olalekan, Bogale, Eyob Ketema, Bolla, Srinivasa Rao, Boloor, Archith, Bonakdar Hashemi, Milad, Boppana, Sri Harsha, Bora Basara, Berrak, Borhany, Hamed, Botero Carvajal, Alejandro, Bouaoud, Souad, Boufous, Soufiane, Bourne, Rupert, Boxe, Christopher, Braithwaite, Dejana, Brant, Luisa C, Brar, Amanpreet, Breitborde, Nicholas J K, Breitner, Susanne, Brenner, Hermann, Briko, Andrey Nikolaevich, Britton, Gabrielle, Brown, Colin Stewart, Browne, Annie J, Brunoni, Andre R, Bryazka, Dana, Bulamu, Norma B, Bulto, Lemma N, Buonsenso, Danilo, Burkart, Katrin, Burns, Richard A, Busse, Reinhard, Bustanji, Yasser, Butt, Nadeem Shafique, Butt, Zahid A, Caetano dos Santos, Florentino Luciano, Cagney, Jack, Cahuana-Hurtado, Lucero, Calina, Daniela, Cámera, Luis Alberto, Campos, Luciana Aparecida, Campos-Nonato, Ismael R, Cao, Chao, Cao, Fan, Cao, Yubin, Capodici, Angelo, Cárdenas, Rosario, Carr, Sinclair, Carreras, Giulia, Carrero, Juan J, Carugno, Andrea, Carvalho, Felix, Carvalho, Márcia, Castaldelli-Maia, Joao Mauricio, Castañeda-Orjuela, Carlos A, Castelpietra, Giulio, Catalá-López, Ferrán, Catapano, Alberico L, Cattaruzza, Maria Sofia, Caye, Arthur, Cederroth, Christopher R, Cegolon, Luca, Cenderadewi, Muthia, Cercy, Kelly M, Cerin, Ester, Chadwick, Joshua, Chakraborty, Chiranjib, Chakraborty, Promit Ananyo, Chakraborty, Sandip, Chan, Jeffrey Shi Kai, Chan, Raymond N C, Chandan, Joht Singh, Chandika, Rama Mohan, Chaturvedi, Pankaj, Chen, An-Tian, Chen, Catherine S, Chen, Haowei, Chen, Meng Xuan, Chen, Mingling, Chen, Simiao, Cheng, Ching-Yu, Cheng, Esther T W, Cherbuin, Nicolas, Chi, Gerald, Chichagi, Fatemeh, Chimed-Ochir, Odgerel, Chimoriya, Ritesh, Ching, Patrick R, Chirinos-Caceres, Jesus Lorenzo, Chitheer, Abdulaal, Cho, William C S, Chong, Bryan, Chopra, Hitesh, Chowdhury, Rajiv, Christopher, Devasahayam J, Chu, Dinh-Toi, Chukwu, Isaac Sunday, Chung, Eric, Chung, Sheng-Chia, Chutiyami, Muhammad, Cioffi, Iolanda, Cogen, Rebecca M, Cohen, Aaron J, Columbus, Alyssa, Conde, Joao, Corlateanu, Alexandru, Cortese, Samuele, Cortesi, Paolo Angelo, Costa, Vera Marisa, Costanzo, Simona, Criqui, Michael H, Cruz, Jessica A, Cruz-Martins, Natália, Culbreth, Garland T, da Silva, Alanna Gomes, Dadras, Omid, Dai, Xiaochen, Dai, Zhaoli, Daikwo, Patience Unekwuojo, Dalli, Lachlan L, Damiani, Giovanni, D'Amico, Emanuele, D'Anna, Lucio, Darwesh, Aso Mohammad, Das, Jai K, Das, Subasish, Dash, Nihar Ranjan, Dashti, Mohsen, Dávila-Cervantes, Claudio Alberto, Davis Weaver, Nicole, Davitoiu, Dragos Virgil, De la Hoz, Fernando Pio, de la Torre-Luque, Alejandro, De Leo, Diego, Debopadhaya, Shayom, Degenhardt, Louisa, Del Bo', Cristian, Delgado-Enciso, Ivan, Delgado-Saborit, Juana Maria, Demoze, Chalachew Kassaw, Denova-Gutiérrez, Edgar, Dervenis, Nikolaos, Dervišević, Emina, Desai, Hardik Dineshbhai, Desai, Rupak, Devanbu, Vinoth Gnana Chellaiyan, Dewan, Syed Masudur Rahman, Dhali, Arkadeep, Dhama, Kuldeep, Dhane, Amol S, Dhimal, Mandira Lamichhane, Dhimal, Meghnath, Dhingra, Sameer, Dhulipala, Vishal R, Dhungana, Raja Ram, Dias da Silva, Diana, Diaz, Daniel, Diaz, Luis Antonio, Diaz, Michael J, Dima, Adriana, Ding, Delaney D, Dinu, Monica, Djalalinia, Shirin, Do, Thanh Chi, Do, Thao Huynh Phuong, do Prado, Camila Bruneli, Dodangeh, Masoud, Dohare, Sushil, Dokova, Klara Georgieva, Dong, Wanyue, Dongarwar, Deepa, D'Oria, Mario, Dorostkar, Fariba, Dorsey, E Ray, Doshi, Rajkumar, Doshmangir, Leila, Dowou, Robert Kokou, Driscoll, Tim Robert, Dsouza, Ashel Chelsea, Dsouza, Haneil Larson, Dumith, Samuel C, Duncan, Bruce B, Duraes, Andre Rodrigues, Duraisamy, Senbagam, Dushpanova, Anar, Dzianach, Paulina Agnieszka, Dziedzic, Arkadiusz Marian, Ebrahimi, Alireza, Echieh, Chidiebere Peter, Ed-Dra, Abdelaziz, Edinur, Hisham Atan, Edvardsson, David, Edvardsson, Kristina, Efendi, Ferry, Eftekharimehrabad, Aziz, Eini, Ebrahim, Ekholuenetale, Michael, Ekundayo, Temitope Cyrus, El Arab, Rabie Adel, El Sayed Zaki, Maysaa, El-Dahiyat, Faris, Elemam, Noha Mousaad, Elgar, Frank J, ElGohary, Ghada Metwally Tawfik, Elhabashy, Hala Rashad, Elhadi, Muhammed, Elmehrath, Ahmed O, Elmeligy, Omar Abdelsadek Abdou, Elshaer, Mohammed, Elsohaby, Ibrahim, Emeto, Theophilus I, Esfandiari, Negin, Eshrati, Babak, Eslami, Majid, Esmaeili, Sayed Vahid, Estep, Kara, Etaee, Farshid, Fabin, Natalia, Fagbamigbe, Adeniyi Francis, Fagbule, Omotayo Francis, Fahimi, Saman, Falzone, Luca, Fareed, Mohammad, Farinha, Carla Sofia e Sá, Faris, MoezAlIslam Ezzat Mahmoud, Faris, Pawan Sirwan, Faro, Andre, Fasina, Folorunso Oludayo, Fatehizadeh, Ali, Fauk, Nelsensius Klau, Fazylov, Timur, Feigin, Valery L, Feng, Xiaoqi, Fereshtehnejad, Seyed-Mohammad, Feroze, Abdullah Hamid, Ferrara, Pietro, Ferrari, Alize J, Ferreira, Nuno, Fetensa, Getahun, Feyisa, Bikila Regassa, Filip, Irina, Fischer, Florian, Fitriana, Ida, Flavel, Joanne, Flohr, Carsten, Flood, David, Flor, Luisa S, Foigt, Nataliya A, Folayan, Morenike Oluwatoyin, Force, Lisa M, Fortuna, Daniela, Foschi, Matteo, Franklin, Richard Charles, Freitas, Alberto, Friedman, Sara D, Fux, Blima, G, Sridevi, Gaal, Peter Andras, Gaihre, Santosh, Gajdács, Márió, Galali, Yaseen, Gallus, Silvano, Gandhi, Aravind P, Ganesan, Balasankar, Ganiyani, Mohammad Arfat, Garcia, Vanessa, Gardner, William M, Garg, Ravindra K, Gautam, Rupesh K, Gebi, Tilaye Gebru, Gebregergis, Miglas W, Gebrehiwot, Mesfin, Gebremariam, Tesfay B B, Gebremeskel, Teferi Gebru, Gerema, Urge, Getacher, Lemma, Getahun, Genanew K a, Getie, Molla, Ghadirian, Fataneh, Ghafarian, Sadegh, Ghaffari Jolfayi, Amir, Ghailan, Khalid Yaser, Ghajar, Alireza, Ghasemi, MohammadReza, Ghasempour Dabaghi, Ghazal, Ghasemzadeh, Afsaneh, Ghassemi, Fariba, Ghazy, Ramy Mohamed, Gholami, Ali, Gholamrezanezhad, Ali, Gholizadeh, Nasim, Ghorbani, Mahsa, Gil, Artyom Urievich, Gil, Gabriela Fernanda, Gilbertson, Nora M, Gill, Paramjit Singh, Gill, Tiffany K, Gindaba, Ebisa Zerihun, Girmay, Alem, Glasbey, James C, Gnedovskaya, Elena V, Göbölös, Laszlo, Godinho, Myron Anthony, Goel, Amit, Golechha, Mahaveer, Goleij, Pouya, Golinelli, Davide, Gomes, Nelson G M, Gopalani, Sameer Vali, Gorini, Giuseppe, Goudarzi, Houman, Goulart, Alessandra C, Gouravani, Mahdi, Goyal, Anmol, Graham, Simon Matthew, Grivna, Michal, Grosso, Giuseppe, Guan, Shi-Yang, Guarducci, Giovanni, Gubari, Mohammed Ibrahim Mohialdeen, Guha, Avirup, Guicciardi, Stefano, Gulati, Snigdha, Gulisashvili, David, Gunawardane, Damitha Asanga, Guo, Cui, Gupta, Anish Kumar, Gupta, Bhawna, Gupta, Mohak, Gupta, Rahul, Gupta, Rajat Das, Gupta, Rajeev, Gupta, Sapna, Gupta, Veer Bala, Gupta, Vijai Kumar, Gupta, Vivek Kumar, Habibzadeh, Farrokh, Habibzadeh, Parham, Hadaro, Tesfahun Simon, Hadian, Zahra, Haep, Nils, Haghi-Aminjan, Hamed, Haghmorad, Dariush, Hagins, Hailey, Haile, Demewoz, Hailu, Alemayehu, Hajj Ali, Adel, Halboub, Esam S, Halimi, Aram, Hall, Brian J, Haller, Sebastian, Halwani, Rabih, Hamadeh, Randah R, Hamdy, Nadia M, Hameed, Sajid, Hamidi, Samer, Hammoud, Ahmad, Hanif, Asif, Hanifi, Nasrin, Haq, Zaim Anan, Haque, Md Rabiul, Harapan, Harapan, Hargono, Arief, Haro, Josep Maria, Hasaballah, Ahmed I, Hasan, Ikramul, Hasan, Mohammad Jahid, Hasan, S M Mahmudul, Hasani, Hamidreza, Hasanian, Mohammad, Hashmeh, Nadim, Hasnain, Md Saquib, Hassan, Amr, Hassan, Ikrama, Hassan Zadeh Tabatabaei, Mahgol Sadat, Hassani, Shokoufeh, Hassanipour, Soheil, Hassankhani, Hadi, Haubold, Johannes, Havmoeller, Rasmus J, Hay, Simon I, Hebert, Jeffrey J, Hegazi, Omar E, Hegena, Tadele Yohannes, Heidari, Golnaz, Heidari, Mohammad, Helfer, Bartosz, Hemmati, Mehdi, Henson, Claire A, Herbert, Molly E, Herteliu, Claudiu, Heuer, Austin, Hezam, Kamal, Hinneh, Thomas Kwadwo, Hiraike, Yuta, Hoan, Nguyen Quoc, Holla, Ramesh, Hon, Julia, Hoque, Mohammad Enamul, Horita, Nobuyuki, Hossain, Sahadat, Hosseini, Seyed Ehsan, 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Samer H, Murray, Christopher J L, and Gakidou, Emmanuela

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2024
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43. Burden of disease scenarios for 204 countries and territories, 2022–2050: a forecasting analysis for the Global Burden of Disease Study 2021

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Vollset, Stein Emil, Ababneh, Hazim S, Abate, Yohannes Habtegiorgis, Abbafati, Cristiana, Abbasgholizadeh, Rouzbeh, Abbasian, Mohammadreza, Abbastabar, Hedayat, Abd Al Magied, Abdallah H A, Abd ElHafeez, Samar, Abdelkader, Atef, Abdelmasseh, Michael, Abd-Elsalam, Sherief, Abdi, Parsa, Abdollahi, Mohammad, Abdoun, Meriem, Abdullahi, Auwal, Abebe, Mesfin, Abiodun, Olumide, Aboagye, Richard Gyan, Abolhassani, Hassan, Abouzid, Mohamed, Aboye, Girma Beressa, Abreu, Lucas Guimarães, Absalan, Abdorrahim, Abualruz, Hasan, Abubakar, Bilyaminu, Abukhadijah, Hana Jihad Jihad, Addolorato, Giovanni, Adekanmbi, Victor, Adetunji, Charles Oluwaseun, Adetunji, Juliana Bunmi, Adeyeoluwa, Temitayo Esther, Adha, Rishan, Adhikary, Ripon Kumar, Adnani, Qorinah Estiningtyas Sakilah, Adzigbli, Leticia Akua, Afrashteh, Fatemeh, Afzal, Muhammad Sohail, Afzal, Saira, Agbozo, Faith, Agodi, Antonella, Agrawal, Anurag, Agyemang-Duah, Williams, Ahinkorah, Bright Opoku, Ahlstrom, Austin J, Ahmad, Aqeel, Ahmad, Firdos, Ahmad, Muayyad M, Ahmad, Sajjad, Ahmad, Shahzaib, Ahmed, Anisuddin, Ahmed, Ayman, Ahmed, Haroon, Ahmed, Safoora, Ahmed, Syed Anees, Akinosoglou, Karolina, Akkaif, Mohammed Ahmed, Akrami, Ashley E, Akter, Ema, Al Awaidy, Salah, Al Hasan, Syed Mahfuz, Al Mosa, Amjad S, Al Ta'ani, Omar, Al Zaabi, Omar Ali Mohammed, Alahdab, Fares, Alajlani, Muaaz M, Al-Ajlouni, Yazan, Alalalmeh, Samer O, Al-Aly, Ziyad, Alam, Khurshid, Alam, Noore, Alam, Tahiya, Alam, Zufishan, Al-amer, Rasmieh Mustafa, Alanezi, Fahad Mashhour, Alanzi, Turki M, Albakri, Almaza, Aldhaleei, Wafa A, Aldridge, Robert W, Alemohammad, Seyedeh Yasaman, Alemu, Yihun Mulugeta, Al-Gheethi, Adel Ali Saeed, Al-Hanawi, Mohammed Khaled, Ali, Abid, Ali, Amjad, Ali, Iman, Ali, Mohammed Usman, Ali, Rafat, Ali, Syed Shujait Shujait, Ali, Victor Ekoche, Ali, Waad, Al-Ibraheem, Akram, Alicandro, Gianfranco, Alif, Sheikh Mohammad, Aljunid, Syed Mohamed, Alla, François, Almazan, Joseph Uy, Al-Mekhlafi, Hesham M, Alqutaibi, Ahmed Yaseen, Alrawashdeh, Ahmad, Alrousan, Sahel Majed, Al-Sabah, Salman Khalifah, Alsabri, Mohammed A, Altaany, Zaid, Al-Tammemi, Ala'a B., Al-Tawfiq, Jaffar A, Altirkawi, Khalid A, Aluh, Deborah Oyine, Alvis-Guzman, Nelson, Al-Wardat, Mohammad Sami, Al-Worafi, Yaser Mohammed, Aly, Hany, Alyahya, Mohammad Sharif, Alzoubi, Karem H, Al-Zyoud, Walid, Amani, Reza, Ameyaw, Edward Kwabena, Amin, Tarek Tawfik, Amindarolzarbi, Alireza, Amiri, Sohrab, Amirzade-Iranaq, Mohammad Hosein, Amu, Hubert, Amugsi, Dickson A, Ancuceanu, Robert, Anderlini, Deanna, Anderson, David B, Andrade, Pedro Prata, Andrei, Catalina Liliana, Andrei, Tudorel, Andrews, Erick Adrian, Anil, Abhishek, Anil, Sneha, Anoushiravani, Amir, Antony, Catherine M, Antriyandarti, Ernoiz, Anuoluwa, Boluwatife Stephen, Anvari, Saeid, Anyasodor, Anayochukwu Edward, Appiah, Francis, Aquilano, Michele, Arab, Juan Pablo, Arabloo, Jalal, Arafa, Elshaimaa A, Arafat, Mosab, Aravkin, Aleksandr Y, Ardekani, Ali, Areda, Demelash, Aregawi, Brhane Berhe, Aremu, Abdulfatai, Ariffin, Hany, Arkew, Mesay, Armani, Keivan, Artamonov, Anton A, Arumugam, Ashokan, Asghari-Jafarabadi, Mohammad, Ashbaugh, Charlie, Astell-Burt, Thomas, Athari, Seyyed Shamsadin, Atorkey, Prince, Atout, Maha Moh'd Wahbi, Aujayeb, Avinash, Ausloos, Marcel, Awad, Hamzeh, Awotidebe, Adedapo Wasiu, Ayatollahi, Haleh, Ayuso-Mateos, Jose L, Azadnajafabad, Sina, Azeez, Fahad Khan, Azevedo, Rui M S, Badar, Muhammad, Baghdadi, Soroush, Bagheri, Mahboube, Bagheri, Nasser, Bai, Ruhai, Baker, Jennifer L, Bako, Abdulaziz T, Balakrishnan, Senthilkumar, Balcha, Wondu Feyisa, Baltatu, Ovidiu Constantin, Barchitta, Martina, Bardideh, Erfan, Barker-Collo, Suzanne Lyn, Bärnighausen, Till Winfried, Barqawi, Hiba Jawdat, Barteit, Sandra, Basiru, Afisu, Basso, João Diogo, Bastan, Mohammad-Mahdi, Basu, Sanjay, Bauckneht, Matteo, Baune, Bernhard T, Bayati, Mohsen, Bayileyegn, Nebiyou Simegnew, Behnoush, Amir Hossein, Behzadi, Payam, Beiranvand, Maryam, Bello, Olorunjuwon Omolaja, Belo, 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Burkart, Katrin, Burns, Richard A, Busse, Reinhard, Bustanji, Yasser, Butt, Zahid A, Caetano dos Santos, Florentino Luciano, Çakmak Barsbay, Mehtap, Calina, Daniela, Campos, Luciana Aparecida, Cao, Shujin, Capodici, Angelo, Cárdenas, Rosario, Carreras, Giulia, Carugno, Andrea, Carvalho, Márcia, Castaldelli-Maia, Joao Mauricio, Castelpietra, Giulio, Cattaruzza, Maria Sofia, Caye, Arthur, Cegolon, Luca, Cembranel, Francieli, Cenko, Edina, Cerin, Ester, Chadban, Steven J, Chadwick, Joshua, Chakraborty, Chiranjib, Chakraborty, Sandip, Chalek, Julian, Chan, Jeffrey Shi Kai, Chandika, Rama Mohan, Chandy, Sara, Charan, Jaykaran, Chaudhary, Anis Ahmad, Chaurasia, Akhilanand, Chen, An-Tian, Chen, Haowei, Chen, Meng Xuan, Chen, Simiao, Cherbuin, Nicolas, Chi, Gerald, Chichagi, Fatemeh, Chimed-Ochir, Odgerel, Chimoriya, Ritesh, Ching, Patrick R, Chirinos-Caceres, Jesus Lorenzo, Chitheer, Abdulaal, Cho, Daniel Youngwhan, Cho, William C S, Choi, Dong-Woo, Chong, Bryan, Chong, Chean Lin, Chopra, Hitesh, Chu, Dinh-Toi, Chung, Eric, Chutiyami, Muhammad, Clayton, Justin T, Cogen, Rebecca M, Cohen, Aaron J, Columbus, Alyssa, Comfort, Haley, Conde, Joao, Connolly, Jon T, Cooper, Ezra E K, Cortese, Samuele, Cruz-Martins, Natália, da Silva, Alanna Gomes, Dadras, Omid, Dai, Xiaochen, Dai, Zhaoli, Dalton, Bronte E, Damiani, Giovanni, Dandona, Lalit, Dandona, Rakhi, Das, Jai K, Das, Saswati, Das, Subasish, Dash, Nihar Ranjan, Davletov, Kairat, De la Hoz, Fernando Pio, De Leo, Diego, Debopadhaya, Shayom, Delgado-Enciso, Ivan, Denova-Gutiérrez, Edgar, Dervenis, Nikolaos, Desai, Hardik Dineshbhai, Devanbu, Vinoth Gnana Chellaiyan, Dewan, Syed Masudur Rahman, Dhama, Kuldeep, Dhane, Amol S, Dhingra, Sameer, Dias da Silva, Diana, Diaz, Daniel, Diaz, Luis Antonio, Diaz, Michael J, Dima, Adriana, Ding, Delaney D, Do, Thao Huynh Phuong, do Prado, Camila Bruneli, Dodangeh, Masoud, Dodangeh, Milad, Doegah, Phidelia Theresa, Dohare, Sushil, Dong, Wanyue, D'Oria, Mario, Doshi, Rajkumar, Dowou, Robert Kokou, Dsouza, Haneil Larson, Dsouza, Viola, Dube, John, Dumith, Samuel C, Duncan, Bruce B, Duraes, Andre Rodrigues, Duraisamy, Senbagam, Durojaiye, Oyewole Christopher, Dushpanova, Anar, Dutta, Sulagna, Dzianach, Paulina Agnieszka, Dziedzic, Arkadiusz Marian, Eboreime, Ejemai, Ebrahimi, Alireza, Ebrahimi Kalan, Mohammad, Edinur, Hisham Atan, Efendi, Ferry, Eikemo, Terje Andreas, Eini, Ebrahim, Ekundayo, Temitope Cyrus, El Arab, Rabie Adel, El Sayed, Iman, Elamin, Osman, Elemam, Noha Mousaad, ElGohary, Ghada Metwally Tawfik, Elhadi, Muhammed, Elmeligy, Omar Abdelsadek Abdou, Elmoselhi, Adel B, Elshaer, Mohammed, Elsohaby, Ibrahim, Eltahir, Mohd. Elmagzoub, Emeto, Theophilus I, Eshrati, Babak, Eslami, Majid, Esmaeili, Zahra, Fabin, Natalia, Fagbamigbe, Adeniyi Francis, Fagbule, Omotayo Francis, Falzone, Luca, Fareed, Mohammad, Farinha, Carla Sofia e Sá, Faris, MoezAlIslam Ezzat Mahmoud, Faro, Andre, Fasihi, Kiana, Fatehizadeh, Ali, Fauk, Nelsensius Klau, Fazylov, Timur, Feigin, Valery L, Fekadu, Ginenus, Feng, Xiaoqi, Fereshtehnejad, Seyed-Mohammad, Ferrara, Pietro, Ferreira, Nuno, Firew, Belete Sewasew, Fischer, Florian, Fitriana, Ida, Flavel, Joanne, Flor, Luisa S, Folayan, Morenike Oluwatoyin, Foley, Kristen Marie, Fonzo, Marco, Force, Lisa M, Foschi, Matteo, Freitas, Alberto, Fridayani, Ni Kadek Yuni, Fukutaki, Kai Glenn, Furtado, João M, Fux, Blima, Gaal, Peter Andras, Gadanya, Muktar A, Gallus, Silvano, Ganesan, Balasankar, Ganiyani, Mohammad Arfat, Gautam, Rupesh K, Gebi, Tilaye Gebru, Gebregergis, Miglas W, Gebrehiwot, Mesfin, Getacher, Lemma, Getahun, Genanew K A, Gething, Peter W, Ghadimi, Delaram J, Ghadirian, Fataneh, Ghafarian, Sadegh, Ghailan, Khalid Yaser, Ghasemi, MohammadReza, Ghasempour Dabaghi, Ghazal, Ghazy, Ramy Mohamed, Ghoba, Sama, Gholami, Ehsan, Gholamrezanezhad, Ali, Gholizadeh, Nasim, Ghorbani, Mahsa, Ghorbani Vajargah, Pooyan, Ghotbi, Elena, Gil, Artyom Urievich, Gill, Tiffany K, Girmay, Alem, Glasbey, James C, Glushkova, Ekaterina Vladimirovna, Gnedovskaya, Elena V, Göbölös, Laszlo, Goldust, Mohamad, Goleij, Pouya, Golinelli, Davide, Gopalani, Sameer Vali, Goulart, Alessandra C, Gouravani, Mahdi, Goyal, Anmol, Grivna, Michal, Grosso, Giuseppe, Guarducci, Giovanni, Gubari, Mohammed Ibrahim Mohialdeen, Guicciardi, Stefano, Guimarães, Rafael Alves, Gulati, Snigdha, Gulisashvili, David, Gunawardane, Damitha Asanga, Guo, Cui, Gupta, Anish Kumar, Gupta, Rahul, Gupta, Rajeev, Gupta, Renu, Gupta, Sapna, Gupta, Vijai Kumar, Haakenstad, Annie, Hadi, Najah R, Haep, Nils, Hafiz, Abdul, Haghmorad, Dariush, Haile, Demewoz, Hajj Ali, Adel, Hajj Ali, Ali, Haj-Mirzaian, Arvin, Halboub, Esam S, Haller, Sebastian, Halwani, Rabih, Hamagharib Abdullah, Kanaan, Hamdy, Nadia M, Hamoudi, Rifat, Hanifi, Nasrin, Hankey, Graeme J, Haq, Zaim Anan, Haque, Md Rabiul, Harapan, Harapan, Hargono, Arief, Haro, Josep Maria, Hasaballah, Ahmed I, Hasan, S. M. Mahmudul, Hasanian, Mohammad, Hasnain, Md Saquib, Hassan, Amr, Haubold, Johannes, Hay, Simon I, Hebert, Jeffrey J, Hegazi, Omar E, Heidari, Mohammad, Hemmati, Mehdi, Henson, Claire A, Herrera-Serna, Brenda Yuliana, Herteliu, Claudiu, Heydari, Majid, Hezam, Kamal, Hidayana, Irma, Hiraike, Yuta, Hoan, Nguyen Quoc, Holla, Ramesh, Hoogar, Praveen, Horita, Nobuyuki, Hossain, Md Mahbub, Hosseinzadeh, Hassan, Hosseinzadeh, Mehdi, Hostiuc, Mihaela, Hostiuc, Sorin, Hu, Chengxi, Huang, Junjie, Hultström, Michael, Hundie, Tsegaye Gebreyes, Hunt, Aliza J, Hushmandi, Kiavash, Hussain, Javid, Hussain, M. Azhar, Hussein, Nawfal R, Huynh, Hong-Han, Hwang, Bing-Fang, Ibitoye, Segun Emmanuel, Iftikhar, Pulwasha Maria, Ikiroma, Adalia I, Ikwegbue, Paul Chukwudi, Ilic, Irena M, Ilic, Milena D, Immurana, Mustapha, Isa, Mustafa Alhaji, Islam, Md. Rabiul, Islam, Sheikh Mohammed Shariful, Ismail, Faisal, Ismail, Nahlah Elkudssiah, Isola, Gaetano, Iwagami, Masao, Iyamu, Ihoghosa Osamuyi, Jacob, Louis, Jacobsen, Kathryn H, Jafarinia, Morteza, Jahankhani, Kasra, Jahanmehr, Nader, Jain, Nityanand, Jairoun, Ammar Abdulrahman, Jakhmola Mani, Dr Ruchi, Jamil, Safayet, Jamora, Roland Dominic G, Jatau, Abubakar Ibrahim, Javadov, Sabzali, Javaheri, Tahereh, Jayaram, Shubha, Jee, Sun Ha, Jeganathan, Jayakumar, Jiang, Heng, Jokar, Mohammad, Jonas, Jost B, Joseph, Nitin, Joshua, Charity Ehimwenma, Jürisson, Mikk, K, Vaishali, Kabir, Ali, Kabir, Zubair, Kadashetti, Vidya, Kalankesh, Laleh R, Kalra, Sanjay, Kamath, Ashwin, Kamath, Rajesh, Kamireddy, Arun, Kanaan, Mona, Kanchan, Tanuj, Kanmiki, Edmund Wedam, Kanmodi, Kehinde Kazeem, Kansal, Sushil Kumar, Karim, Asima, Karkhah, Samad, Kashoo, Faizan Zaffar, Kasraei, Hengameh, Kassel, Molly B, Katikireddi, Srinivasa Vittal, Kauppila, Joonas H, Kaur, Harkiran, Kayode, Gbenga A, Kazemi, Foad, Kazemian, Sina, Kebede, Fassikaw, Kendal, Evie Shoshannah, Kesse-Guyot, Emmanuelle, Khademvatan, Shahram, Khajuria, Himanshu, Khalaji, Amirmohammad, Khalid, Asaad, Khalid, Nauman, Khalilian, Alireza, Khamesipour, Faham, Khan, Fayaz, Khan, Mohammad Jobair, Khan, Moien AB, Khanmohammadi, Shaghayegh, Khatab, Khaled, Khatatbeh, Haitham, Khatatbeh, Moawiah Mohammad, Khatib, Mahalaqua Nazli, Khayat Kashani, Hamid Reza, Kheirallah, Khalid A, Khokhar, Manoj, Khormali, Moein, Khorrami, Zahra, Khosla, Atulya Aman, Khosravi, Majid, Khosrowjerdi, Mahmood, Khubchandani, Jagdish, Kifle, Zemene Demelash, Kim, Grace, Kim, Julie Sojin, Kim, Min Seo, Kim, Yun Jin, Kimokoti, Ruth W, Kisa, Adnan, Kisa, Sezer, Knibbs, Luke D, Knudsen, Ann Kristin Skrindo, Kochhar, Sonali, Kolahi, Ali-Asghar, Kompani, Farzad, Koren, Gerbrand, Korzh, Oleksii, Krishan, Kewal, Krishna, Varun, Krishnamoorthy, Vijay, Kucuk Bicer, Burcu, Kuddus, Md Abdul, Kuddus, Mohammed, Kuitunen, Ilari, Kujan, Omar, Kulimbet, Mukhtar, Kulkarni, Vishnutheertha, Kumar, G Anil, Kumar, Harish, Kumar, Nithin, Kumar, Rakesh, Kumar, Vijay, Kundu, Amartya, Kusuma, Dian, Kyei-Arthur, Frank, Kytö, Ville, Kyu, Hmwe Hmwe, La Vecchia, Carlo, Lacey, Ben, Ladan, Muhammad Awwal, Laflamme, Lucie, Lahariya, Chandrakant, Lai, Daphne Teck Ching, Lalloo, Ratilal, Lallukka, Tea, Lám, Judit, Lan, Qing, Lan, Tuo, Landires, Iván, Lanfranchi, Francesco, Langguth, Berthold, Lansingh, Van Charles, Laplante-Lévesque, Ariane, Larijani, Bagher, Larsson, Anders O, Lasrado, Savita, Lauriola, Paolo, Lawlor, Hilary R, Le, Huu-Hoai, Le, Long Khanh Dao, Le, Nhi Huu Hanh, Le, Thao Thi Thu, Le, Trang Diep Thanh, Leasher, Janet L, Lee, Doo Woong, Lee, Munjae, Lee, Paul H, Lee, Sang-woong, Lee, Seung Won, Lee, Shaun Wen Huey, Lee, Yo Han, Leigh, James, Leong, Elvynna, Li, Ming-Chieh, Libra, Massimo, Ligade, Virendra S, Lim, Lee-Ling, Lim, Stephen S, Limenh, Liknaw Workie, Lindholm, Daniel, Lindstedt, Paulina A, Listl, Stefan, Liu, Gang, Liu, Shiwei, Liu, 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2024
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44. Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

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Naghavi, Mohsen, Ong, Kanyin Liane, Aali, Amirali, Ababneh, Hazim S, Abate, Yohannes Habtegiorgis, Abbafati, Cristiana, Abbasgholizadeh, Rouzbeh, Abbasian, Mohammadreza, Abbasi-Kangevari, Mohsen, Abbastabar, Hedayat, Abd ElHafeez, Samar, Abdelmasseh, Michael, Abd-Elsalam, Sherief, Abdelwahab, Ahmed, Abdollahi, Mohammad, Abdollahifar, Mohammad-Amin, Abdoun, Meriem, Abdulah, Deldar Morad, Abdullahi, Auwal, Abebe, Mesfin, Abebe, Samrawit Shawel, Abedi, Aidin, Abegaz, Kedir Hussein, Abhilash, E S, Abidi, Hassan, Abiodun, Olumide, Aboagye, Richard Gyan, Abolhassani, Hassan, Abolmaali, Meysam, Abouzid, Mohamed, Aboye, Girma Beressa, Abreu, Lucas Guimarães, Abrha, Woldu Aberhe, Abtahi, Dariush, Abu Rumeileh, Samir, Abualruz, Hasan, Abubakar, Bilyaminu, Abu-Gharbieh, Eman, Abu-Rmeileh, Niveen ME, Aburuz, Salahdein, Abu-Zaid, Ahmed, Accrombessi, Manfred Mario Kokou, Adal, Tadele Girum, Adamu, Abdu A, Addo, Isaac Yeboah, Addolorato, Giovanni, Adebiyi, Akindele Olupelumi, Adekanmbi, Victor, Adepoju, Abiola Victor, Adetunji, Charles Oluwaseun, Adetunji, Juliana Bunmi, Adeyeoluwa, Temitayo Esther, Adeyinka, Daniel Adedayo, Adeyomoye, Olorunsola Israel, Admass, Biruk Adie Adie, Adnani, Qorinah Estiningtyas Sakilah, Adra, Saryia, Afolabi, Aanuoluwapo Adeyimika, Afzal, Muhammad Sohail, Afzal, Saira, Agampodi, Suneth Buddhika, Agasthi, Pradyumna, Aggarwal, Manik, Aghamiri, Shahin, Agide, Feleke Doyore, Agodi, Antonella, Agrawal, Anurag, Agyemang-Duah, Williams, Ahinkorah, Bright Opoku, Ahmad, Aqeel, Ahmad, Danish, Ahmad, Firdos, Ahmad, Muayyad M, Ahmad, Sajjad, Ahmad, Shahzaib, Ahmad, Tauseef, Ahmadi, Keivan, Ahmadzade, Amir Mahmoud, Ahmed, Ali, Ahmed, Ayman, Ahmed, Haroon, Ahmed, Luai A, Ahmed, Mehrunnisha Sharif, Ahmed, Meqdad Saleh, Ahmed, Muktar Beshir, Ahmed, Syed Anees, Ajami, Marjan, Aji, Budi, Akara, Essona Matatom, Akbarialiabad, Hossein, Akinosoglou, Karolina, Akinyemiju, Tomi, Akkaif, Mohammed Ahmed, Akyirem, Samuel, Al Hamad, Hanadi, Al Hasan, Syed Mahfuz, Alahdab, Fares, Alalalmeh, Samer O, Alalwan, Tariq A, Al-Aly, Ziyad, Alam, Khurshid, Alam, Manjurul, Alam, Noore, Al-amer, Rasmieh Mustafa, Alanezi, Fahad Mashhour, Alanzi, Turki M, Al-Azzam, Sayer, Albakri, Almaza, Albashtawy, Mohammed, AlBataineh, Mohammad T, Alcalde-Rabanal, Jacqueline Elizabeth, Aldawsari, Khalifah A, Aldhaleei, Wafa A, Aldridge, Robert W, Alema, Haileselasie Berhane, Alemayohu, Mulubirhan Assefa, Alemi, Sharifullah, Alemu, Yihun Mulugeta, Al-Gheethi, Adel Ali Saeed, Alhabib, Khalid F, Alhalaiqa, Fadwa Alhalaiqa Naji, Al-Hanawi, Mohammed Khaled, Ali, Abid, Ali, Amjad, Ali, Liaqat, Ali, Mohammed Usman, Ali, Rafat, Ali, Shahid, Ali, Syed Shujait Shujait, Alicandro, Gianfranco, Alif, Sheikh Mohammad, Alikhani, Reyhaneh, Alimohamadi, Yousef, Aliyi, Ahmednur Adem, Aljasir, Mohammad A M, Aljunid, Syed Mohamed, Alla, François, Allebeck, Peter, Al-Marwani, Sabah, Al-Maweri, Sadeq Ali Ali, Almazan, Joseph Uy, Al-Mekhlafi, Hesham M, Almidani, Louay, Almidani, Omar, Alomari, Mahmoud A, Al-Omari, Basem, Alonso, Jordi, Alqahtani, Jaber S, Alqalyoobi, Shehabaldin, Alqutaibi, Ahmed Yaseen, Al-Sabah, Salman Khalifah, Altaany, Zaid, Altaf, Awais, Al-Tawfiq, Jaffar A, Altirkawi, Khalid A, Aluh, Deborah Oyine, Alvis-Guzman, Nelson, Alwafi, Hassan, Al-Worafi, Yaser Mohammed, Aly, Hany, Aly, Safwat, Alzoubi, Karem H, Amani, Reza, Amare, Azmeraw T, Amegbor, Prince M, Ameyaw, Edward Kwabena, Amin, Tarek Tawfik, Amindarolzarbi, Alireza, Amiri, Sohrab, Amirzade-Iranaq, Mohammad Hosein, Amu, Hubert, Amugsi, Dickson A, Amusa, Ganiyu Adeniyi, Ancuceanu, Robert, Anderlini, Deanna, Anderson, David B, Andrade, Pedro Prata, Andrei, Catalina Liliana, Andrei, Tudorel, Angus, Colin, Anil, Abhishek, Anil, Sneha, Anoushiravani, Amir, Ansari, Hossein, Ansariadi, Ansariadi, Ansari-Moghaddam, Alireza, Antony, Catherine M, Antriyandarti, Ernoiz, Anvari, Davood, Anvari, Saeid, Anwar, Saleha, Anwar, Sumadi Lukman, Anwer, Razique, Anyasodor, Anayochukwu Edward, Aqeel, Muhammad, Arab, Juan Pablo, 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Zhi-Jiang, Zhao, Hanqing, Zhong, Chenwen, Zhou, Juexiao, Zhu, Bin, Zhu, Lei, Ziafati, Makan, Zielińska, Magdalena, Zitoun, Osama A, Zoladl, Mohammad, Zou, Zhiyong, Zuhlke, Liesl J, Zumla, Alimuddin, Zweck, Elric, Zyoud, Samer H, Wool, Eve E, and Murray, Christopher J L

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2024
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48. Single-cell profile reveals the landscape of cardiac immunity and identifies a cardio-protective Ym-1hi neutrophil in myocardial ischemia–reperfusion injury

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Dong, Yalan, Kang, Zhenyu, Zhang, Zili, Zhang, Yongqiang, Zhou, Haifeng, Liu, Yanfei, Shuai, Xinxin, Li, Junyi, Yin, Liangqingqing, Wang, Xunxun, Ma, Yan, Fan, Heng, Jiang, Feng, Lin, Zhihao, Ding, Congzhu, Yun Jin, Kim, Sarapultsev, Alexey, Li, Fangfei, Zhang, Ge, Xie, Tian, Yin, Changjun, Cheng, Xiang, Luo, Shanshan, Liu, Yue, and Hu, Desheng

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2024
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50. Global, regional, and national burden of disorders affecting the nervous system, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

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Steinmetz, Jaimie D, Seeher, Katrin Maria, Schiess, Nicoline, Nichols, Emma, Cao, Bochen, Servili, Chiara, Cavallera, Vanessa, Cousin, Ewerton, Hagins, Hailey, Moberg, Madeline E, Mehlman, Max L, Abate, Yohannes Habtegiorgis, Abbas, Jaffar, Abbasi, Madineh Akram, Abbasian, Mohammadreza, Abbastabar, Hedayat, Abdelmasseh, Michael, Abdollahi, Mohammad, Abdollahi, Mozhan, Abdollahifar, Mohammad-Amin, Abd-Rabu, Rami, Abdulah, Deldar Morad, Abdullahi, Auwal, Abedi, Aidin, Abedi, Vida, Abeldańo Zuńiga, Roberto Ariel, Abidi, Hassan, Abiodun, Olumide, Aboagye, Richard Gyan, Abolhassani, Hassan, Aboyans, Victor, Abrha, Woldu Aberhe, Abualhasan, Ahmed, Abu-Gharbieh, Eman, Aburuz, Salahdein, Adamu, Lawan Hassan, Addo, Isaac Yeboah, Adebayo, Oladimeji M, Adekanmbi, Victor, Adekiya, Tayo Alex, Adikusuma, Wirawan, Adnani, Qorinah Estiningtyas Sakilah, Adra, Saryia, Afework, Tsion, Afolabi, Aanuoluwapo Adeyimika, Afraz, Ali, Afzal, Saira, Aghamiri, Shahin, Agodi, Antonella, Agyemang-Duah, Williams, Ahinkorah, Bright Opoku, Ahmad, Aqeel, Ahmad, Danish, Ahmad, Sajjad, Ahmadzade, Amir Mahmoud, Ahmed, Ali, Ahmed, Ayman, Ahmed, Haroon, Ahmed, Jivan Qasim, Ahmed, Luai A, Ahmed, Muktar Beshir, Ahmed, Syed Anees, Ajami, Marjan, Aji, Budi, Ajumobi, Olufemi, Akade, Seyed Esma'il, Akbari, Morteza, Akbarialiabad, Hossein, Akhlaghi, Shiva, Akinosoglou, Karolina, Akinyemi, Rufus Olusola, Akonde, Maxwell, Al Hasan, Syed Mahfuz, Alahdab, Fares, AL-Ahdal, Tareq Mohammed Ali, Al-amer, Rasmieh Mustafa, Albashtawy, Mohammed, AlBataineh, Mohammad T, Aldawsari, Khalifah A, Alemi, Hediyeh, Alemi, Sharifullah, Algammal, Abdelazeem M, Al-Gheethi, Adel Ali Saeed, Alhalaiqa, Fadwa Alhalaiqa Naji, Alhassan, Robert Kaba, Ali, Abid, Ali, Endale Alemayehu, Ali, Liaqat, Ali, Mohammed Usman, Ali, Musa Mohammed, Ali, Rafat, Ali, Shahid, Ali, Syed Shujait Shujait, Ali, Zahid, Alif, Sheikh Mohammad, Alimohamadi, Yousef, Aliyi, Ahmednur Adem, Aljofan, Mohamad, Aljunid, Syed Mohamed, Alladi, Suvarna, Almazan, Joseph Uy, Almustanyir, Sami, Al-Omari, Basem, Alqahtani, Jaber S, Alqasmi, Ibrahim, Alqutaibi, Ahmed Yaseen, Al-Shahi Salman, Rustam, Altaany, Zaid, Al-Tawfiq, Jaffar A, Altirkawi, Khalid A, Alvis-Guzman, Nelson, Al-Worafi, Yaser Mohammed, Aly, Hany, Aly, Safwat, Alzoubi, Karem H, Amani, Reza, Amindarolzarbi, Alireza, Amiri, Sohrab, Amirzade-Iranaq, Mohammad Hosein, Amu, Hubert, Amugsi, Dickson A, Amusa, Ganiyu Adeniyi, Amzat, Jimoh, Ancuceanu, Robert, Anderlini, Deanna, Anderson, David B, Andrei, Catalina Liliana, Androudi, Sofia, Angappan, Dhanalakshmi, Angesom, Teklit W, Anil, Abhishek, Ansari-Moghaddam, Alireza, Anwer, Razique, Arafat, Mosab, Aravkin, Aleksandr Y, Areda, Demelash, Ariffin, Hany, Arifin, Hidayat, Arkew, Mesay, Ärnlöv, Johan, Arooj, Mahwish, Artamonov, Anton A, Artanti, Kurnia Dwi, Aruleba, Raphael Taiwo, Asadi-Pooya, Ali A, Asena, Tilahun Ferede, Asghari-Jafarabadi, Mohammad, Ashraf, Muhammad, Ashraf, Tahira, Atalell, Kendalem Asmare, Athari, Seyyed Shamsadin, Atinafu, Bantalem Tilaye Tilaye, Atorkey, Prince, Atout, Maha Moh'd Wahbi, Atreya, Alok, Aujayeb, Avinash, Avan, Abolfazl, Ayala Quintanilla, Beatriz Paulina, Ayatollahi, Haleh, Ayinde, Olatunde O, Ayyoubzadeh, Seyed Mohammad, Azadnajafabad, Sina, Azizi, Zahra, Azizian, Khalil, Azzam, Ahmed Y, Babaei, Mahsa, Badar, Muhammad, Badiye, Ashish D, Baghdadi, Soroush, Bagherieh, Sara, Bai, Ruhai, Baig, Atif Amin, Balakrishnan, Senthilkumar, Balalla, Shivanthi, Baltatu, Ovidiu Constantin, Banach, Maciej, Bandyopadhyay, Soham, Banerjee, Indrajit, Baran, Mehmet Firat, Barboza, Miguel A, Barchitta, Martina, Bardhan, Mainak, Barker-Collo, Suzanne Lyn, Bärnighausen, Till Winfried, Barrow, Amadou, Bashash, Davood, Bashiri, Hamideh, Bashiru, Hameed Akande, Basiru, Afisu, Basso, João Diogo, Basu, Sanjay, Batiha, Abdul-Monim Mohammad, Batra, Kavita, Baune, Bernhard T, Bedi, Neeraj, Begde, Ahmet, Begum, Tahmina, Behnam, Babak, Behnoush, Amir Hossein, Beiranvand, Maryam, Béjot, Yannick, Bekele, Alehegn, Belete, 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2024
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