TWIRLS, an automated topic-wise inference method based on massive literature, suggests a possible mechanism via ACE2 for the pathological changes in the human host after coronavirus infection

Faced with the current large-scale public health emergency, collecting, sorting, and analyzing biomedical information related to the "coronavirus" should be done as quickly as possible to gain a global perspective, which is a basic requirement for strengthening epidemic control capacity. However, for human researchers studying the viruses and the hosts, the vast amount of information available cannot be processed effectively and in a timely manner, particularly when the scientific understanding may be limited, which can further lower the information processing efficiency. We present TWIRLS, a method that can automatically acquire, organize, and classify information. Additionally, independent functional data sources can be added to build an inference system using a machine-based approach, which can provide relevant knowledge to help human researchers quickly establish subject cognition and to make more effective decisions. TWIRLS can automatically analyze more than three million words in more than 14,000 literature articles in only 4 hours. Combining with generalized gene interaction databases creates a data interface that can help researchers to further analyze the information. Using the TWIRLS system, we found that an important regulatory factor angiotensin-converting enzyme 2 (ACE2) may be involved in the host pathological changes on binding to the coronavirus after infection. After triggering functional changes in ACE2/AT2R, an imbalance in the steady-state cytokine regulatory axis involving the Renin-Angiotensin System and IP-10 leads to a cytokine storm.

TWIRLS, an automated topic-wise inference method based on massive literature, suggests a possible mechanism via ACE2 for the pathological changes in the human host after coronavirus infection

Faced with the current large-scale public health emergency, collecting, sorting, and analyzing biomedical information related to the "coronavirus" should be done as quickly as possible to gain a global perspective, which is a basic requirement for strengthening epidemic control capacity. However, for human researchers studying the viruses and the hosts, the vast amount of information available cannot be processed effectively and in a timely manner, particularly when the scientific understanding may be limited, which can further lower the information processing efficiency. We present TWIRLS, a method that can automatically acquire, organize, and classify information. Additionally, independent functional data sources can be added to build an inference system using a machine-based approach, which can provide relevant knowledge to help human researchers quickly establish subject cognition and to make more effective decisions. TWIRLS can automatically analyze more than three million words in more than 14,000 literature articles in only 4 hours. Combining with generalized gene interaction databases creates a data interface that can help researchers to further analyze the information. Using the TWIRLS system, we found that an important regulatory factor angiotensin-converting enzyme 2 (ACE2) may be involved in the host pathological changes on binding to the coronavirus after infection. After triggering functional changes in ACE2/AT2R, an imbalance in the steady-state cytokine regulatory axis involving the Renin-Angiotensin System and IP-10 leads to a cytokine storm.

Effect of protocatechuic acid on serum TNF-α, IL-1βand oxidative stress products levels in Parkinson rats / 中国生化药物杂志

Objective To explore the effect of protocatechuic acid on serum tumor necrosis factor-α( TNF-α) , interleukin-1β( IL-1β) and oxidative stress products levels in Parkinson rats.Methods 60 male SD rats were randomly divided into normal control group ( n=10 ) , model group (n=10), madopar group (n=20) and protocatechuic acid group (n=20).Rat model with Parkinson disease were builded in model group, madopar group and protocatechuic acid group.Madopar group and protocatechuic acid group were given corresponding drug with a consecutive treatment of two weeks.After treatment,the serum TNF-α,malondialdehyde (MDA), superoxide dismutase (SOD) and IL-1βlevels were detected in all groups.Results Compared with normal control group, the serum TNF-α, IL-1βand MDA levels in model group were significantly higher, and SOD level was lower (P<0.05).Compared with model group, the serum TNF-α, IL-1βand MDA levels in madopar group pre-treatment were significantly lower, and SOD level was higher (P<0.05).There were no significant difference of serum TNF-α, IL-1β, MDA and SOD levels between madopar group and protocatechuic acid group.Conclusion The protocatechuic acid could significantly reduce the serum TNF-α, MDA and IL-1βlevels in Parkinson model rats, enhance the activity of SOD, which has protective effect on oxidative stress injury induced by Parkinson disease.

Synthesis of water-soluble poly(α-hydroxy acids) from living ring-opening polymerization of O-benzyl-L-serine carboxyanhydrides.

O-benzyl-L-serine carboxyanhydrides were synthesized via diazotization of O-benzyl-L-serine with sodium nitrite in aqueous sulfuric acid solution followed by cyclization of the resulting serine-based α-hydroxy acid with phosgene. Degradable, water-soluble poly(α-hydroxy acids) bearing pendant hydroxyl groups were readily prepared under mild conditions via ring-opening polymerization of O-benzyl-L-serine carboxyanhydrides followed by removal of the benzyl group and showed excellent cell compatibility, suggesting their potential being used as novel materials in constructing drug delivery systems and as hydrogel scaffolds for tissue engineering applications.