Chronic metabolic diseases are becoming increasingly prevalent and have become major public health issues worldwide. The primary metabolic encompassed obesity, diabetes, non-alcoholic fatty liver disease, hyperlipidemia, and gout. Given the multifactorial nature of metabolism-related diseases, their prevention and treatment necessities multitarget strategies to tackle the physiological and metabolic impairments.The current strategies for the management of chronic metabolic diseases included lifestyle modification, balanced diet, appropriate exercise, and pharmacological interventions.However, due to the multifaceted pathophysiology underlying these metabolic disorders, developing effective therapeutic and preventive measures has so far been challenging.Current therapeutics for metabolic diseases varied in their ability to improve patient outcomes. For instance, antidiabetic drugs may elicit varying response in patients, some of which may be less favorable or even lead to adverse outcomes. To overcome these challenges, combining medications with diverse mechanism of actions held great promises to produce additive or synergistic effects aiming at reducing macrovascular and microvascular complications associated with metabolic diseases. Xie et al reviewed that combinations therapy offers significant advantages for diabetes management. Firstly, combination therapy could regulate diabetes through multiple mechanisms and pathways, which may compensate for the limitations of monotherapy and achieve better glucose control. Secondly, combination therapy can potentially allow for the dosage reduction of individual therapies, thereby alleviating the adverse events and improving the patient tolerance. Finally, combination therapy could be tailored to specific patient conditions to provide more personalized treatment strategies.Lifestyle modification, especially dietary habits, remains the fundamental strategy for the management of metabolic-related diseases. The mendelian randomization analysis conducted by Yu et al revealed that tea intake has no significant genetic predisposition effect on uric acid, gout, or idiopathic gout. However, they observed that tea intake does have a significant effect on the genetic predisposition of gout due to impairment of renal function.This effect may be attributed to its role in protecting renal function and regulating intestinal function. Therefore, tea intake could be encouraged as a potential dietary treatment for patients with gout associated with impairment of renal function. Chen et al preformed a systematic review and meta-analysis to investigate the effect of supplementation with probiotics or synbiotics on cardiovascular risk factors in patients with metabolic syndrome. This analysis suggested that compared with the control group, supplementation with probiotics or synbiotics was significantly more effective in decreasing body mass index, lowdensity lipoprotein and fasting blood glucose, while no additional advantage was observed in the improvement of systolic blood pressure.Regarding the new treatment modality for diabetes complications, Ouyang et al summarized and analyzed the effectiveness of platelet-rich plasma (PRP) in the treatment of diabetic foot ulcer (DFU). The meta-analysis showed that PRP significantly enhanced the healing rate, and accelerated the healing time when compared to the conventional treatment. However, there was no significant difference observed in reducing the of ulcer area. The mechanism underlying effect of PRP on wound healing primarily involves the release of various bioactive molecules stored in platelets, including PDGF, TGF-β, VEGF, EGF, and adhesion molecules such as fibrin, fibronectin, and hyalenin.Traditional Chinese medicines (TCMs) possess a unique advantage in the treatment of metabolic disease owning to its ability to regulate multiple targets simultaneously. Hu et al employ a bioinformatics driven approach in conjunction with network pharmacology to comprehensively explore the therapeutic mechanism of Xuebifang (XBF) in the context of diabetic peripheral neuropathy (DPN). The analysis demonstrated the crucial targets modulated by XBF in treating DPN encompass TNF, IL6, IL1B, MMP9, and PPARG. These Therefore, this study implied that CLMD can ameliorate sleep disturbances in adenineinduced CKD. The mechanism may be associated with the up-regulation of orexin-A and elevation of phosphorylation level of CaMKK2/AMPK, which further inhibit NF-κB downstream signaling pathways without affecting renal function.Accumulating evidence suggested that gut microbiome and its metabolites played a crucial role in the onset of numerous metabolic diseases. This implies that probiotic supplements in combined with conventional therapies may represent promising strategy for the management of metabolic diseases. However, the intricate mechanisms underlying the interactions between the gut microbiome and host necessities further investigation. The advent of the technological revolution in artificial intelligence assisted with synthetic biology approaches will play a vital role in the modulating the therapeutic and nutritive potential of probiotics. Likewise, while TCMs have long been widely used for various metabolism diseases, the precise mechanism of action for TCMs for metabolism diseases remain incompletely understood. Leveraging the modern research techniques like epigenomics and bioinformatics technology, researchers have the opportunity to address the current limitations by exploring the chemical underpinnings of the therapeutic effects and potential complications of TCM interventions. There is a growing trend towards employing network pharmacology methods to explore the mechanism of pharmacodynamic substances of TCM prescriptions. Metabolomics has also shown great potential for unravelling the therapeutic mechanisms of TCM, and also in enhancing our understanding of metabolic pathways and disease-associated biomarkers more broadly.The primary goal of combination treatment for metabolism diseases is to optimize the likelihood of attaining the desired therapeutical goals, while minimizing unnecessary side effects. It is envisioned that in the future, the combination therapy regime should be individualized according to the biological features of specific patient subgroups, thereby expediting the translation into the realm of "precision medicine".
11 Authors
- XX
Xueqin Xie
Center for Informational Biology, School of Life Science and Technology, University of Electronic Science and Technology of China, China
- CW
Changchun Wu
Center for Informational Biology, School of Life Science and Technology, University of Electronic Science and Technology of China, China
- YH
Yuduo Hao
Center for Informational Biology, School of Life Science and Technology, University of Electronic Science and Technology of China, China
- TW
Tianyu Wang
Center for Informational Biology, School of Life Science and Technology, University of Electronic Science and Technology of China, China
- YY
Yuhe Yang
Center for Informational Biology, School of Life Science and Technology, University of Electronic Science and Technology of China, China
- PC
Peiling Cai
School of Basic Medical Sciences, Chengdu University, China
- YZ
Yang Zhang
Innovative Institute of Chinese Medicine and Pharmacy, Academy for Interdiscipline, Chengdu University of Traditional Chinese Medicine, China
- JH
Jian Huang
Center for Informational Biology, School of Life Science and Technology, University of Electronic Science and Technology of China, China
- KD
Kejun Deng
Center for Informational Biology, School of Life Science and Technology, University of Electronic Science and Technology of China, China
- DY
Dan Yan
Beijing Friendship Hospital, Capital Medical University, China
- HL
Hao Lin
Center for Informational Biology, School of Life Science and Technology, University of Electronic Science and Technology of China, China
6 Authors
- LY
Lin Yang
Department of Pharmacy, First Hospital of Hebei Medical University, China
- YZ
Yan Zhao
Department of Pharmacy, First Hospital of Hebei Medical University, China
- RQ
Ruochen Qu
Department of Pharmacy, First Hospital of Hebei Medical University, China
- YF
Yan Fu
Core Facilities and Centers, Hebei Medical University, China
- CZ
Chunhua Zhou
Department of Pharmacy, First Hospital of Hebei Medical University, China
- JY
Jing Yu
Department of Pharmacy, First Hospital of Hebei Medical University, China
6,710 views
14 citations
10 Authors
- XC
Xin-li Cao
Department of Nephrology, Chongqing Hospital of Traditional Chinese Medicine, China
- XP
Xue-mei Peng
Department of Traditional Chinese Medicine, Chongqing General Hospital, China
- GL
Gong-bo Li
Department of Neurology, Second Affiliated Hospital of Chongqing Medical University, China
- WD
Wei-sen Ding
Department of Nephrology, Chongqing Hospital of Traditional Chinese Medicine, China
- KW
Kai-zhen Wang
Department of Nephrology, Chongqing Hospital of Traditional Chinese Medicine, China
- XW
Xiao-lei Wang
Department of Nephrology, Chongqing Hospital of Traditional Chinese Medicine, China
- YX
Yan-ying Xiong
Department of Nephrology, Chongqing Hospital of Traditional Chinese Medicine, China
- WX
Wei-jian Xiong
Department of Nephrology, Chongqing Hospital of Traditional Chinese Medicine, China
- FL
Fan Li
Department of Nephrology, Chongqing Hospital of Traditional Chinese Medicine, China
- MS
Min Song
Department of Neurology, Second Affiliated Hospital of Chongqing Medical University, China
6,080 views
12 citations


